Author: "Barati, A." / Topic: business - Searchworks@Jio Institute Digital Library Search Results

858 results on '"Barati, A."'

1. Developing a Conceptual Model of Brand Love Based on the Symbolic Interaction Theory

Author: Manijeh Ghareche, Shahriar Azizi, Azadeh Askari, and Abolfazl Barati
Subjects: essemce and bredth, self, brand love, mind, social organization, symbolic interaction theory, Business, HF5001-6182
Abstract: ObjectiveAccording to the symbolic interaction theory, humans are the only creatures who can interpret and recognize different phenomena through interaction with their mind in the context of society. Brand love is a subjective concept based on behavioral theories and cognitive theories. There is still unresolved challenges concerning the explanation of any phenomenon, including brand love, solely based on subjective criteria or sociocognitive theory and symbolic interaction theory. It is also believed that other factors or elements, such as the environment and individual characteristics are also effective in conceptualizing each phenomenon. The present syudy aims to explain the conceptual nature of brand love by separating the essential elements (intrinsic) from the transverse (superficial) elements. It also attempts to explain the nature of the brand love for durable commodities in consumer markets based on symbolic interaction theory. MethodologyThis qualitative research is fundamental with regard to its purpose, whici is conducted based on step-by-step in-depth interviews. Data analysis is based on the grounded theory approach using content analysis. The statistical population includes people involved in the decision-making process of purchasing product brands in 18 metropolises with the population of more than 500,000 people. Seven participants were selected for this study based on snowball sampling with theoretical adequacy. FindingsBased on the findings, a conceptual model was developed using the threefold framework including individual, mind, and society. Then, the essence and breadth of the model were determined. Fifty concepts were identified, which were categorized into 19 themes. However, only five elements are related to the essence of brand love. Moreover, six concepts are considered among the underlying factors forming the concept of brand love. In addition, at least two dimensions have been identified for each theme, which will be used to distinguish the essence elements from the brand love. The majority of the identified concepts were related to the themes of “perfectionism” and “overcoming separation”. ConclusionBrand love is a cognitive-instinctive concept that can be distinguished from the similar concepts such as friendship, lust, connection, and brand addiction based on these five elements: individual complexity, respect, symbolism, overcoming separation, and uniqueness. In addition, the underlying factors of social classes, social groups, historical background, and patriarchy-matriarchy are influential in the formation of the concept of brand love.
Published: 2021
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2. A hierarchical secure data aggregation method using the dragonfly algorithm in wireless sensor networks

Author: Efat Yousefpoor, Hamid Barati, and Ali Barati
Subjects: Computer Networks and Communications, business.industry, Computer science, Network packet, 020206 networking & telecommunications, 02 engineering and technology, Encryption, Data aggregator, Set (abstract data type), Tree (data structure), Node (computer science), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, Wireless sensor network, Software, Data transmission, Computer network
Abstract: A wireless sensor network (WSN) consists of a set of sensor nodes that are widely scattered in inaccessible areas. When deployed in large areas, WSNs generate a large volume of the data. Therefore, efficient methods are needed to process the data. One solution to minimize traffic on large-scale wireless sensor networks is to use data aggregation schemes. In this paper, a secure data aggregation method is proposed. The proposed secure data aggregation scheme has three phases: intra-cluster data aggregation, inter-cluster data aggregation, and data transfer. In the intra-cluster data aggregation phase, a fuzzy scheduling system is designed to adjust the appropriate data transmission rates of the cluster member nodes. In the inter-cluster data aggregation phase, an aggregation tree is created between the cluster head nodes. The dragonfly algorithm (DA) is used to find the optimal aggregation tree between cluster head nodes. In the data transfer phase, the columnar transposition cipher method is used to establish a secure connection between cluster member nodes and their cluster head node. Also, a symmetric and lightweight encryption method based on the residue number system (RNS) is utilized to provide secure communications between the cluster head nodes. We modify RNS and call it RNS+. Finally, the simulation results of the proposed scheme are compared to three data aggregation methods including Sign-share, Sham-share, and RCDA. The results show that the proposed data aggregation scheme outperforms other data aggregation methods in terms of network lifetime, delay and packet delivery rate.
Published: 2021
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3. Active Multiple Access Secure Communication Enabled by Graphene-Based Time-Modulated Metasurfaces

Author: Hossein Mosallaei, Hooman Barati Sedeh, and Mohammad Mahdi Salary
Subjects: Secure communication, Modulation, business.industry, Terahertz radiation, Computer science, Phase (waves), Electronic engineering, Waveform, Spectral density, Demodulation, Electrical and Electronic Engineering, business, Signal
Abstract: This paper presents a technique for establishing active secure communication links over single and multiple orthogonal frequency channels via a reflective graphene-based time-modulated metasurface operating in the low terahertz frequency regime.For this purpose, the Fermi energy level of unit-cells is modulated via pseudo-random radio-frequency biasing signals whose DC offsets are set to steer the reflected beam toward the desired direction by imposing a spatial phase gradient profile across the surface, while their waveforms are engineered to spread the incident wave spectrum into a noise-like spectrum with a near-zero power spectral density via random modulation of the reflection phase of each element between 0 and π with respect to its offset phase. This allows for addressing a legitimate user in real-time who can retrieve the signal via synchronous demodulation with the pseudo-random key of the metasurface while camouflaging the signal from the adversary by lowering the probability of detection. The approach is extended to enable multi-channel secure communication by dividing the metasurface into interleaved sub-arrays modulated with orthogonal pseudo-random keys, which provides simultaneous and independent control over multiple beams with non-overlapping spread spectra which can be retrieved by independent legitimate users while rejecting unwarranted access by eavesdroppers.
Published: 2022
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4. Effect of Continuous and Interval Training on Amyloid β 42 (Aβ42) and Malondialdehyde (MDA) Levels in Hippocampus of Elderly Rats

Author: Zahra Barati, Ali Yaghoubi, and Mohamad Reza Jalilvand
Subjects: medicine.medical_specialty, Medicine (General), Amyloid β, malondialdehyde (mda), business.industry, education, Malondialdehyde, continuous training, elderly rats, Interval training, amyloid β 42 (aβ42), chemistry.chemical_compound, Endocrinology, R5-920, chemistry, Internal medicine, medicine, Hippocampus (mythology), business, interval training
Abstract: Introduction: Amyloid plaques in the brain increase with age. Thus, the present study aimed to evaluate the effect of continuous and interval training on Amyloid β 42 (Aβ42) and Malondialdehyde (MDA) levels in hippocampus of elderly rats. Methods: The present study was experimental one with two experimental groups and one control group. Thirty old male Wistar rats (18 weeks-old) divided into 3 groups, including interval training, continuous training, and control. Continuous training was performed for 8 weeks with 65 to 70% VO2max and interval training was performed for 8 weeks with 5-8 repetitions of 2 minutes of working with 80-100% VO2max and 2 minutes active rest with 50% of VO2max for 8 weeks. Hippocampal samples were extracted 48 hours after the last training session to measure protein levels of Aβ42 and MDA. One-way ANOVA and Tukey post hoc test was used for data analysis. Results: Hippocampus Aβ42 levels in continuous training groups were significantly lower than the control group (P=0.001). In addition, Aβ42 levels in hippocampus of interval training groups were significantly lower than the control group (P=0.001). However, no significant differences were found in Aβ42 levels between continuous and interval training groups (p=0.502). MDA levels in continuous training groups were significantly lower than the control group (P=0.016). In addition, MDA levels in interval training groups were significantly lower than the control group (P=0.046) But no significant differences were found in hippocampal MDA protein levels between continuous and interval training groups (p=866). Conclusion: Continuous and interval training through decreasing oxidative stress, decrease Aβ42 levels in the hippocampus of the elderly rat, thus probably continuous and interval training can prevent neurodegenerative disease caused by aging through modulating oxidative stress and Aβ42.
Published: 2021

5. Dietary Intake and Nutritional Status of Javanese Women in Rice Producing Areas: a Comparison between Lactating and Non-lactating Women

Author: Judith Lauvai, Ziba Barati, Whelma Bell, Ilmia Fahmi, Nia Novita Wirawan, and Ratna Chrismiari Purwestri
Subjects: Food group, business.industry, Dietary intake, Environmental health, Food consumption, Breastfeeding, Medicine, Nutritional status, General Medicine, business, Micronutrient
Abstract: Maintaining optimal maternal nutrition is essential for the motherâ€™s health and the childâ€™s growth and development. Throughout the lactating period, maternal nutrition is significant due to the childâ€™s high nutritional needs. Therefore, an increase in food consumption is necessary. This research aimed to analyze the dietary intake and nutritional status of lactating and non-lactating women living in rice-producing areas in Central Java, Indonesia. A cross-sectional study was conducted from December 2014 to February 2015 in Demak Regency. As many as 375 participants were recruited and analyzed in this study. The results showed that the mean BMI-score of non-lactating mothers was higher than that of breastfeeding mothers (p=0.039). However, the nutritional status between the two groups of women was not significantly different. Significantly more lactating women consumed dark green leafy-colored vegetables (68.8%) and other vegetables (59.2%) than the non-lactating mothers (54.4%, p=0.065 and 36.8%, p=0.001, respectively). Regarding the selected macro and micronutrient intakes, statistically significant differences between the two groups of women could not be proven. In short, dietary intake between women within the different physiological statuses and BMI categories showed that they consumed around the same amount of macro-and micronutrient intakes and food groups, except for the high vegetable consumption among lactating women.
Published: 2021
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6. Surface and Air Contamination With Severe Acute Respiratory Syndrome Coronavirus 2 From Hospitalized Coronavirus Disease 2019 Patients in Toronto, Canada, March–May 2020

Author: Maureen B. Taylor, Emily M Panousis, Amna Faheem, Samira Mubareka, Elizabeth Bryce, Shiva Barati, Lily Yip, Patryk Aftanas, Andrew G Mc Arthur, Kuganya Nirmalarajah, Jeff Powis, Alainna J Jamal, Hamza Mbareche, Henna P Mistry, Kevin Katz, Allison J Mc Geer, Marc Veillette, Titus Wong, Simon Plenderleith, Natalie G Bell, Mohammad Mozafarihashjin, Robert A. Kozak, Jalees A. Nasir, Karren Prost, Angel X Li, Gloria Crowl, Saman Khan, Xi Zoe Zhong, Jonathon D Kotwa, Eric A. Coomes, Ryan J. Hiebert, Renee Schryer, Caroline Duchaine, Aimee Paterson, and Lubna Farooqi
Subjects: 0303 health sciences, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Patient characteristics, Virus, 3. Good health, Air contamination, 03 medical and health sciences, 0302 clinical medicine, Infectious Diseases, Viral genomes, Internal medicine, Acute care, medicine, Immunology and Allergy, 030212 general & internal medicine, business, 030304 developmental biology, Patient factors
Abstract: Background We determined the burden of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in air and on surfaces in rooms of patients hospitalized with coronavirus disease 2019 (COVID-19) and investigated patient characteristics associated with SARS-CoV-2 environmental contamination. Methods Nasopharyngeal swabs, surface, and air samples were collected from the rooms of 78 inpatients with COVID-19 at 6 acute care hospitals in Toronto from March to May 2020. Samples were tested for SARS-CoV-2 ribonucleic acid (RNA), cultured to determine potential infectivity, and whole viral genomes were sequenced. Association between patient factors and detection of SARS-CoV-2 RNA in surface samples were investigated. Results Severe acute respiratory syndrome coronavirus 2 RNA was detected from surfaces (125 of 474 samples; 42 of 78 patients) and air (3 of 146 samples; 3 of 45 patients); 17% (6 of 36) of surface samples from 3 patients yielded viable virus. Viral sequences from nasopharyngeal and surface samples clustered by patient. Multivariable analysis indicated hypoxia at admission, polymerase chain reaction-positive nasopharyngeal swab (cycle threshold of ≤30) on or after surface sampling date, higher Charlson comorbidity score, and shorter time from onset of illness to sampling date were significantly associated with detection of SARS-CoV-2 RNA in surface samples. Conclusions The infrequent recovery of infectious SARS-CoV-2 virus from the environment suggests that the risk to healthcare workers from air and near-patient surfaces in acute care hospital wards is likely limited.
Published: 2021
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7. Identification of a novel de novo variant in OTX2 in a patient with congenital microphthalmia using targeted next-generation sequencing followed by prenatal diagnosis

Author: Nioosha Mostofinezhad, Saeed Reza Ghaffari, Zeinab Barati, Laya Fakhri, Fatemeh Hoseininasab, Faezeh Mohamadhashem, Azadeh Hoseini, Amir Hosein Mahmoudi, Somayeh Darzi Ramandi, Koosha Jalilian, Maryam Rafati, and Hosna Amiri
Subjects: Sanger sequencing, Proband, business.industry, Genetic counseling, Prenatal diagnosis, Computational biology, medicine.disease, Microphthalmia, DNA sequencing, Frameshift mutation, Ophthalmology, symbols.namesake, Pediatrics, Perinatology and Child Health, symbols, medicine, Eye disorder, business, Genetics (clinical)
Abstract: BACKGROUND Next-generation sequencing has been proven to be a reliable method for the detection of genetic causes in heterogeneous ocular disorders. In this report an NGS-based diagnostic approach was taken to uncover the genetic etiology in a patient with coloboma and microphthalmia, a highly heterogeneous disease with intrafamilial phenotypic variability. MATERIALS AND METHODS Next generation sequencing using a targeted panel of 316 genes, was carried out in the proband. Prioritized variants were then identified and confirmed using Sanger sequencing. Prenatal diagnosis of the detected variant was then performed in the family. RESULTS A novel de novo frameshift variant c.157_164delTTCACTCG (p.Phe53fs) in OTX2, leading to a truncated protein, was identified. Prenatal diagnosis identified the same variant in the fetus. CONCLUSIONS This report demonstrates the importance of genetic counseling and underscores the efficiency and effectiveness of targeted NGS as a means of detecting variants in inherited eye disorders.
Published: 2021
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8. Biological and pharmacological effects and nutritional impact of phytosterols: A comprehensive review

Author: Saeedeh Talebi, Maryam Khosravi, Elyas Nattagh-Eshtivani, Hanieh Barghchi, Rahele Ziaei, Abed Ghavami, Yasaman Amiri, Pishva Arzhang, Naseh Pahlavani, Mehdi Barati, and Abdulmannan Fadel
Subjects: Pharmacology, business.industry, Cholesterol, Phytosterols, Cancer, Cholesterol lowering, medicine.disease, Diet, stomatognathic diseases, Human health, chemistry.chemical_compound, chemistry, Cardiovascular Diseases, Neoplasms, Humans, Medicine, business, Plant sterols, Lipoprotein
Abstract: Phytosterols (PSs), classified into plant sterols and stanols, are bioactive compounds found in foods of plant origin. PSs have been proposed to exert a wide number of pharmacological properties, including the potential to reduce total and low-density lipoprotein (LDL) cholesterol levels and thereby decreasing the risk of cardiovascular diseases. Other health-promoting effects of PSs include anti-obesity, anti-diabetic, anti-microbial, anti-inflammatory, and immunomodulatory effects. Also, anticancer effects have been strongly suggested, as phytosterol-rich diets may reduce the risk of cancer by 20%. The aim of this review is to provide a general overview of the available evidence regarding the beneficial physiological and pharmacological activities of PSs, with special emphasis on their therapeutic potential for human health and safety. Also, we will explore the factors that influence the physiologic response to PSs.
Published: 2021
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9. Designing an Ethical Targeted Marketing Model by Identifying Factors Affecting Customer Clustering

Author: Jalil Gharibi, Ali Hosseinzadeh, Hossein Barati Teimouri, and Alireza Pooya
Subjects: Knowledge management, Data collection, Cronbach's alpha, business.industry, Computer science, Order (business), Sales promotion, Table (database), business, Cluster analysis, Structural equation modeling, Exploratory factor analysis
Abstract: BackgroundThe purpose of this study is to investigate the role of customer clustering in the design of an ethical and targeted marketing model in Internet of Things (IOT) Technology Services Companies.MethodThe research method is applied, exploratory and mixed (qualitative-quantitative). Qualitative section: 15 people of sales and marketing managers of IOT companies, were selected for in-depth interviews by targeted and snowballs methods. In this phase used entropy and VIKOR decision-making techniques. The software used in this phase was Max QDE. Quantitative section: In this phase, all the customers of the studied companies were included, and due to the unlimited nature of the society with Morgan's table, 384 people were selected as the sample size by non-random and available methods. The data collection tool in this section was questionnaire, which used Cronbach's alpha to examine the validity of the questionnaire. In order to analyze the data, the exploratory factor analysis method and Partial least squares structural equation modeling (PLS-SEM) with Smart-PLS2 and Liserl software were used.ResultsQualitative section: In this phase, four clusters were identified: communication factors, ethical and behavioral factors, individual factors and economic factorsQuantitative section: In this phase, the model obtained in the first phase was quantitatively examined and validated and approved.ConclusionThe results showed that four main clusters: communication factors, ethical and behavioral factors, individual factors and economic factors are dimensions of targeted marketing and customers are classified according to their characteristics. So, these companies should pay attention to these items as methods for sales promotion.
Published: 2021
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10. Sequence-to-Sequence Forecasting-aided State Estimation for Power Systems

Author: Kamal Basulaiman and Masoud Barati
Subjects: FOS: Computer and information sciences, Sequence, Computer Science - Machine Learning, business.industry, Computer science, Deep learning, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Reliability engineering, Renewable energy, Machine Learning (cs.LG), Electric power system, Software deployment, Predictive power, FOS: Electrical engineering, electronic engineering, information engineering, Artificial intelligence, State (computer science), business, Energy (signal processing)
Abstract: Power system state forecasting has gained more attention in real-time operations recently. Unique challenges to energy systems are emerging with the massive deployment of renewable energy resources. As a result, power system state forecasting are becoming more crucial for monitoring, operating and securing modern power systems. This paper proposes an end-to-end deep learning framework to accurately predict multi-step power system state estimations in real-time. In our model, we employ a sequence-to-sequence framework to allow for multi-step forecasting. Bidirectional gated recurrent units (BiGRUs) are incorporated into the model to achieve high prediction accuracy. The dominant performance of our model is validated using real dataset. Experimental results show the superiority of our model in predictive power compared to existing alternatives.
Published: 2023
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11. Evaluation of a web-based randomized controlled trial educational intervention based on media literacy on preventing substance abuse among college students, applying the integrated social marketing approach: a study protocol

Author: Mohammad Babamiri, Forouzan Rezapur-Shahkolai, Majid Barati, Saeed Bashirian, and Hanieh Jormand
Subjects: Protocol (science), Medical education, Internet, Adolescent, business.industry, Substance-Related Disorders, Medicine (miscellaneous), medicine.disease, Social marketing, law.invention, Substance abuse, Randomized controlled trial, law, Intervention (counseling), Social Marketing, medicine, Media literacy, Web application, Humans, Pharmacology (medical), business, Psychology, Students, Ecosystem, Randomized Controlled Trials as Topic
Abstract: Background Substance abuse is the actual psychosocial harm, especially in young people confronted with content marketing in nowadays media environment, a risk factor for experiencing substance abuse. Based on the literature review, education designed based on the cognitive-behavioral model and planning models, such as using a social marketing framework, is the most effective method to prevent addictive substance abuse. Also, media literacy related to substance abuse and the prototype willingness model is considered a new integrated approach to present the intervention measures’ desired results. Methods The present study evaluates an intervention program based on media literacy on substance abuse prevention among students using an integrated social marketing approach. This study aims to complete the SMART model’s sixth and seventh stages, implementing intervention and evaluation. Participants will be students of Hamadan University, Iran. Randomization will occur at the university and school levels, and gathered data will appear at two-time (i.e., pre-test and three months follow-up). Intervention group students will obtain both substance abuse prevention education and substance abuse media literacy (SAML) education between pre-test and 3 months post-test. Students in the delayed intervention will be given this education after study accomplishment; this group will receive their regular courses except for substance abuse prevention and media literacy titles during education intervention. The outcome variables are intentions and substance abuse behavior based on prototype willingness and substance abuse media literacy. Discussion Evaluation of Substance abuse prevention and substance abuse media literacy education must be careful to ensure that they effectively enable people, especially in youth in the new media ecology and unique “Infomedia” ecosystems, in the current digital society. The SAML education plan’s evaluation has the first web-based education program in universities. No prior research has psychometrically considered SAML in students in the SMART model’s sixth and seventh stages. Trial registration IRCT20200914048719N1. Registered on June 30, 2021.
Published: 2022
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12. 3DEOR: an opportunity routing protocol using evidence theory appropriate for 3D urban environments in VANETs

Author: Elham Bozorgzadeh, Ali Barati, and Hamid Barati
Subjects: Routing protocol, Stateless protocol, Vehicular ad hoc network, business.industry, Computer science, Network packet, Node (networking), ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, End-to-end delay, 020302 automobile design & engineering, 020206 networking & telecommunications, 02 engineering and technology, Computer Science Applications, 0203 mechanical engineering, Link-state routing protocol, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Routing (electronic design automation), business, Computer network
Abstract: The vehicular ad hoc network (VANET) is a promising technology to improve the comfort and safety of passengers, roads and urban traffic. Applications applied to VANETs require efficient routing protocols. Urban environments include tunnels, subways, overpasses, and multilevel highways, which indicate the multilevel information environment and specific conditions of radio channel dissemination. In this paper proposed a three-dimensional (3D) evidence theory based, opportunistic routing protocol, called 3DEOR, which address the above issues using a new hybrid criterion called PAL. The PAL criterion includes three metrics of packet delivery probability to compensate for unreliable dissemination environments, packet advancement appropriated to 3D environments to reduce the number of hop counts and level to improve link connectivity. Prioritise the relay set members based on the new criteria to select the best relay node. In cases where there is no certainty, the evidence theory can be a good choice for combining the three metrics of the PAL criterion. The simulation results show the superiority of the proposed protocol over the 3D link state aware geographic opportunistic (3DLSGO) and 3D greedy perimeter stateless routing (3DGPSR) protocols in network performance indices such as packet delivery rate, end-to-end delay and average hop count.
Published: 2020
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13. Multipath routing through the firefly algorithm and fuzzy logic in wireless sensor networks

Author: Hamid Barati, Ali Barati, and Amir Nader Shahbaz
Subjects: Computer Networks and Communications, Network packet, Computer science, business.industry, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020206 networking & telecommunications, 02 engineering and technology, Energy consumption, Load balancing (computing), Base station, Backup, Multipath routing, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Firefly algorithm, business, Wireless sensor network, Software, Computer network
Abstract: Routing is one of the major challenges in wireless sensor networks (WSNs). Unbalanced energy consumption in the routing process of data packets is one of the main issues in WSNs. The issue needs consideration, because the energy level of sensor nodes is limited. Multipath routing methods reduce energy consumption, improve scalability and provide load balancing in WSNs. In this study, we suggested a multipath routing method for homogeneous WSNs. The proposed method includes 3 phases: clustering the network nodes, discovering the paths between CHs, and maintaining the paths. In the first phase, wireless sensor network is clustered through the firefly algorithm. In the second phase, routing is performed between CHs based on the fuzzy logic. Routing between CHs results in creating 2 paths: primary path and backup path. CHs transmit data packets to the base station through the primary paths; however, failures in primary paths cause CHs to employ backup paths. In the third phase, the paths are maintained so that path breakages cause to restart route discovery. The results of the simulation reveal that the proposed multipath routing outperforms other routing methods in end-to-end delay, energy consumption, packet loss rate, and network lifetime.
Published: 2020
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14. Human Amniotic Fluid for the Treatment of Hospitalized, Symptomatic, and Laboratory-verified SARS-CoV-2 Patients

Author: Mojgan Barati and Fakher Rahim
Subjects: medicine.medical_specialty, Amniotic fluid, Coronavirus disease 2019 (COVID-19), business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), fungi, medicine.disease, Gastroenterology, General Biochemistry, Genetics and Molecular Biology, Fibrosis, Internal medicine, medicine, General Agricultural and Biological Sciences, business
Abstract: New reports offer evidence that under different circumstances, intrauterine mother-infant transmission of SARS-CoV-2 occurs. In contrast, early observations in the COVID-19 pandemic recommended that vertical transmission from women infected with SARS-CoV-2 can be challenging and no virus is detected in human amniotic fluid (HAF). The present study aimed to propose the idea that HAF can be used as a potential therapy for hospitalized, symptomatic, and laboratory-verified SARS-CoV-2 patients by mitigating COVID-19 related inflammation and decreasing its fibrosis. Considering that COVID-19 can cause a severe pulmonary fibrotic response in some patients, HAF by decreasing fibrosis may be considered as an alternative and novel therapy against COVID-19. Lastly, given the inexpensive, easy to access, and safe nature of HAF, integrating this therapy may decrease the COVID-19 attributed death and burden to the health system, especially in countries with limited access to vaccines where HAF is widely available.
Published: 2021
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15. Women who Use Drugs: Pattern of Substance Use and Relapse

Author: Saeid Bashirian, Majid Barati, Hadi Ghazanfari Zarnagh, Younes Mohammadi, and Sharareh Bagheri
Subjects: medicine.medical_specialty, business.industry, Internal medicine, Medicine, Substance use, business
Published: 2021
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16. A case series of pediatric COVID-19 with complicated symptoms in Iran

Author: Somayeh Shahabi, Alireza Tahamtan, Lobat Shahkar, Dayan Amanian, Hamed Naziri, Maryam Najafinejad, Alijan Tabarraei, Fatemeh Cheraghali, and Leila Barati
Subjects: 2019-20 coronavirus outbreak, Pediatrics, medicine.medical_specialty, pediatrics, Coronavirus disease 2019 (COVID-19), SARS-CoV-2, business.industry, Disease outcome, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), case series, Clinical course, COVID-19, Iran, Age groups, Virology, Medicine, business
Abstract: People in different age groups are susceptible to SARS-CoV-2 infection as a newly emerging virus. However, the clinical course, symptoms and disease outcome vary from case to case. Although COVID-19 is usually milder in children than adults, some studies reported nonspecific symptoms. Here, we report eight pediatric cases of COVID-19 admitted in the Taleghani Children Hospital in Gorgan city, north of Iran, with complicated symptoms. The current case series poses several challenges to the pediatricians regarding the pediatric cases of COVID-19. As most literature relating to adults are not always transferable to children, clinicians should be warned about such presentations among children with COVID-19.
Published: 2021
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17. Vulvar cancer in Botswana in women with and without HIV infection: patterns of treatment and survival outcomes

Author: Lisa Bazzett-Matabele, Tlotlo Ralefala, Memory Bvochara-Nsingo, Sanghyuk S. Shin, Emily MacDuffie, Nicola M. Zetola, Thabo Moloi, Surbhi Grover, Sruthi Sakamuri, Qiao Wang, Rebecca Luckett, Doreen Ramogola-Masire, and Barati Monare
Subjects: Adult, medicine.medical_specialty, medicine.medical_treatment, HIV Infections, Kaplan-Meier Estimate, Disease, Antiviral Agents, Article, Internal medicine, medicine, Humans, Prospective Studies, Stage (cooking), Vulvar neoplasm, Botswana, Vulvar Neoplasms, Coinfection, business.industry, Incidence (epidemiology), Papillomavirus Infections, Obstetrics and Gynecology, Middle Aged, Vulvar cancer, medicine.disease, Radiation therapy, Oncology, Case-Control Studies, Cohort, Female, business, Cohort study
Abstract: ObjectivesVulvar cancer is a rare gynecological malignancy. However, the incidence of human papillomavirus (HPV)-associated vulvar disease is increasing, particularly in low- and middle-income countries. HIV infection is associated with an increased risk of HPV-associated vulvar cancer. We evaluated treatment patterns and survival outcomes in a cohort of vulvar cancer patients in Botswana. The primary objective of this study was to determine overall survival and the impact of treatment modality, stage, and HIV status on overall survival.MethodsWomen with vulvar cancer who presented to oncology care in Botswana from January 2015 through August 2019 were prospectively enrolled in this observational cohort study. Demographics, clinical characteristics, treatment, and survival data were collected. Factors associated with survival including age, HIV status, stage, and treatment were evaluated.ResultsOur cohort included 120 women with vulvar cancer. Median age was 42 (IQR 38–47) years. The majority of patients were living with HIV (89%, n=107) that was well-controlled on antiretroviral treatment. Among women with HIV, 54.2% (n=58) were early stage (FIGO stage I/II). In those without HIV, 46.2% (n=6) were early stage (stage I/II). Of the 95 (79%) patients who received treatment, 20.8% (n=25) received surgery, 67.5% (n=81) received radiation therapy, and 24.2% (n=29) received chemotherapy, either alone or in combination. Median follow-up time of all patients was 24.7 (IQR 14.2–39.1) months and 2- year overall survival for all patients was 74%. Multivariate analysis demonstrated improved survival for those who received surgery (HR 0.26; 95% CI 0.08 to 0.86) and poor survival was associated with advanced stage (HR 2.56; 95% CI 1.30 to 5.02). Survival was not associated with HIV status.ConclusionsThe majority of women with vulvar cancer in Botswana are young and living with HIV infection. Just under half of patients present with advanced stage, which was associated with worse survival. Improved survival was seen for those who received surgery.
Published: 2021
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18. EELRP: energy efficient layered routing protocol in wireless sensor networks

Author: Zahra Hajipour and Hamid Barati
Subjects: Routing protocol, Numerical Analysis, Network packet, Computer science, business.industry, Energy consumption, Computer Science Applications, Theoretical Computer Science, Computational Mathematics, Base station, Computational Theory and Mathematics, Transfer (computing), Error detection and correction, business, Wireless sensor network, Software, Efficient energy use, Computer network
Abstract: Wireless sensor networks (WSNs) consist of sensor nodes, which can sense, process, and then transfer different types of data into the base station. The major role of sensor nodes is to gather data at regular intervals and then send it into the base station. Designing energy-efficient routing protocols is one of the major challenges in WSNs. In this paper, an energy efficient layered routing protocol (EELRP) is proposed. The proposed method divides the network into some concentric circles of different radii. The circles are divided into eight equal sectors. Sections are created through a crossover between layers and sectors. Each section contains some nodes, and the most appropriate one is selected as the agent. The nodes of each section send the sensed data to their agent. Next, the agent aggregates the data, provides error detection and correction according to the redundant residue number system, and then sends information to the agent of the lower section of the same sector. The procedure continues until the information reaches the base station. On comparing the performance of EELRP with that of conventional methods, one can see that EELRP provides an improvement in the network lifetime, energy consumption, packet delivery rate, and the number of path hops.
Published: 2021
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19. Metabolic Syndrome in Children and Adolescents: Looking to New Markers

Author: Elham Barati, Mohammad Mohammad-Zadeh, Majid Ghayour-Mobarhan, Zahra Meshkat, Mostafa Fazeli, Hamideh Ghazizadeh, and Gordon A. Ferns
Subjects: Gerontology, medicine.medical_specialty, business.industry, Maternal and child health, Public health, Pediatrics, Perinatology and Child Health, Medicine, Metabolic syndrome, business, medicine.disease, Obesity
Abstract: Metabolic syndrome (MetS) was first defined by Reaven, but its diagnostic criteria are controversial, particularly in children and adolescents. MetS is a common health problem globally, and many studies revealed its association with diabetes and cardiovascular diseases, and hence an agreed definition would be useful. To date, many attempts have been performed to achieve consensus and a more accurate definition by investigating new criteria, and introducing new markers and cutoff values. The prevalence of MetS varies greatly, in part due to the application of these different criteria. This variation in definition makes it difficult for public health professionals to accurately identify and manage MetS in pediatrics. New components in defining MetS, such as hyperuricemia, have been added to the standard criteria. An attempt has also been made to identify reliable biomarkers for the identification of MetS, but these have been inconsistent. Even for standard components including obesity, new cutoff criteria that have been adopted for different ethnicities, and gender, the search for a better understanding of MetS is continuing especially in pediatrics.
Published: 2021
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20. Association of abnormal fetal echocardiography with some obstetric records

Author: Nahal Nasehi, Mahin Najafian, Abdolrahman Emami-Moghaddam, Sareh Aberumand, and Mojgan Barati
Subjects: medicine.medical_specialty, medicine.diagnostic_test, Obstetrics, business.industry, Maternity and Midwifery, medicine, Retrospective cohort study, business, Fetal echocardiography
Abstract: Background To evaluate the history of some obstetrical records of pregnant women who were referred for fetal echocardiography for any reason. Methods This was a retrospective study on 1772 documents of referred pregnant women, which was conducted in Narges diagnostic clinic staff (Ahvaz city, Iran) from 2017-2020. In this study, all document data of pregnant women who referred for fetal echocardiography for any reason have been reviewed. Results Our study showed that there is a significant relationship between abnormal fetal echocardiography with history of miscarriage, stillbirth and a previous child with Down syndrome. Conclusion Although our study showed that abnormal fetal echocardiography was associated with stillbirth, miscarriage, and a history of having a previous child with Down syndrome, but many cases had abnormal echocardiography didn't have a history of having a previous child with CHD, increased NT and high-risk aneuploidy screening test.
Published: 2021
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21. The effects of vitamin E on colistin-induced nephrotoxicity in treatment of drug-resistant gram-negative bacterial infections: A randomized clinical trial

Author: Seyed Hossein Ardehali, Zahra Sahraei, Maryam Samsami, Omid Moradi, Saghar Barati, Mohammadreza Hajiesmaeili, Alireza Fatemi, Maria Tavakoli-Ardakani, and Minoosh Shabani
Subjects: 0301 basic medicine, Microbiology (medical), medicine.medical_specialty, medicine.medical_treatment, 030106 microbiology, Drug resistance, Gastroenterology, law.invention, Nephrotoxicity, 03 medical and health sciences, 0302 clinical medicine, Randomized controlled trial, Risk Factors, law, Internal medicine, medicine, Humans, Vitamin E, Pharmacology (medical), Rifle, 030212 general & internal medicine, Retrospective Studies, Colistin, business.industry, Incidence (epidemiology), Acute kidney injury, Acute Kidney Injury, medicine.disease, Anti-Bacterial Agents, Infectious Diseases, Pharmaceutical Preparations, Gram-Negative Bacterial Infections, business, medicine.drug
Abstract: Introduction Nephrotoxicity remains a major long-standing concern for colistin, and it is critical to find agents that can prevent it. The present study aims to investigate the effect of vitamin E on the prevention of colistin-induced nephrotoxicity based on its antioxidant and free radical scavenging properties. Methods A randomized clinical trial was designed for 52 patients taking colistin. These patients were categorized into two groups of equal size, receiving colistin or colistin plus vitamin E (α-Tocopherol). Vitamin E with doses of 400 units was administrated daily either orally or by a nasogastric tube if needed. The incidence of Acute Kidney Injury (AKI) and its duration was recorded based on RIFLE criteria. Results The Incidence of AKI based on RIFLE criteria was 42.3% and 46.2% in intervention and control groups, respectively. The analysis showed no significant difference in the prevalence of AKI for the two groups (P = 0.78). There was no significant difference in the duration of AKI neither (P = 0.83). Conclusion Although vitamin E is a powerful biological antioxidant, the effects of Vitamin E prophylaxis on colistin-induced nephrotoxicity was not taken into consideration in this study.
Published: 2021
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22. Probiotics and the Treatment of Parkinson's Disease: An Update

Author: Omid Reza Tamtaji, Saman Sedighi, Hamed Mirzaei, Michael Aschner, Ehsan Dadgostar, Erfaneh Barati, and Ebrahim Kouchaki
Subjects: Parkinson's disease, Anti-Inflammatory Agents, Neurological disorder, Disease, Health benefits, Bioinformatics, medicine.disease_cause, Neuroprotection, Article, law.invention, Cellular and Molecular Neuroscience, Probiotic, law, Animals, Medicine, In patient, business.industry, Probiotics, Neurodegenerative Diseases, Parkinson Disease, Cell Biology, General Medicine, medicine.disease, Neuroprotective Agents, business, Oxidative stress
Abstract: Parkinson’s disease (PD) is a progressive neurological disorder characterized by motor and non-motor features. Although some progress has been made in conventional PD treatments, these breakthroughs have yet to show high efficacy in treating this neurodegenerative disease. Probiotics are live microorganisms that confer health benefits on the host when administered in adequate amounts. Probiotics have putative anticancer, antioxidative, anti-inflammatory, and neuroprotective effects. Multiple lines of evidence show that probiotics control and improve several motor and non-motor symptoms in patients and experimental animal models of PD. Probiotic supplementation mediates these pharmacological effects by targeting a variety of cellular and molecular processes, i.e., oxidative stress, inflammatory and anti-inflammatory pathways, as well as apoptosis. Herein, we summarize the effects of probiotics on motor and non-motor symptoms as well as various cellular and molecular pathways in PD.
Published: 2021
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23. Dairy-originated digestion-resistant and bioactive peptides increase the risk of hypertension: Tehran Lipid and Glucose Study

Author: Fereidoun Azizi, Sayed Hossein Davoodi, Masoumeh Jabbari, Erfan Mosharkesh, Hossein Farhadnejad, Sajad Khalili-Moghadam, Parvin Mirmiran, Neda Roshanravan, Farshad Teymoori, Meisam Barati, and Elham Kazemian
Subjects: chemistry.chemical_classification, medicine.medical_specialty, education.field_of_study, Physiology, business.industry, Dietary intake, Population, Physical activity, Peptide, Increased risk, Endocrinology, Blood pressure, chemistry, Internal medicine, Internal Medicine, Medicine, Cardiology and Cardiovascular Medicine, Digestion, business, education, Cohort study
Abstract: Milk-protein-derived bioactive peptides (BPs) have been proposed as modulators of different regulatory processes involved in blood pressure regulation. Studies on the long-term effects of BPs on blood pressure have not yet been conducted. We aimed to investigate the association of dairy-originated BPs with the risk of hypertension (HTN) in the Tehran Lipid and Glucose Cohort Study (TLGS). In this cohort study, 4378 subjects with a mean follow-up period of 3.1 years were included in the final analysis. Dietary intake, physical activity, demographic, and anthropometric data and blood pressure measurements were obtained for all participants. Various types of dairy-originated BPs were determined by an in silico method. High intake of total digestion-resistant and bioactive peptides (OR: 1.31, CI 95%: 1.01-1.70), dipeptides (OR: 1.33, CI 95%: 1.03-1.73), peptides with more than seven residues (OR: 1.32, CI 95%: 1.01-1.71), glycosylated residues (OR: 1.39, CI 95%: 1.07-1.80), highly hydrophilic peptides (OR: 1.32, CI 95%: 1.01-1.71), and low hydrophobic peptides (OR: 1.32, CI 95%: 1.01-1.71) was associated with an increased risk of HTN in the adjusted model. In addition, subjects in the higher tertile of anti-HTN peptide (OR: 1.33, CI 95%: 1.02-1.72) and antidiabetic peptide (OR: 1.35, CI 95%: 1.04-1.76) intake had a higher risk of HTN than those in the lower tertile. No significant association emerged between calcium intake from dairy and incident risk of HTN. Our results showed that the intake of some forms of digestion-resistant and BPs, such as anti-HTN peptides, dipeptides, and peptides with more than seven residues, can increase the risk of HTN in the TLGS population.
Published: 2021
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24. Efficient water desalination with graphene nanopores obtained using artificial intelligence

Author: Yuyang Wang, Amir Barati Farimani, and Zhonglin Cao
Subjects: Materials science, 02 engineering and technology, 010402 general chemistry, 01 natural sciences, Convolutional neural network, law.invention, Nanomaterials, law, Reinforcement learning, General Materials Science, Water desalination, Materials of engineering and construction. Mechanics of materials, QD1-999, Topology (chemistry), Graphene, business.industry, Mechanical Engineering, General Chemistry, 021001 nanoscience & nanotechnology, Condensed Matter Physics, Rejection rate, 0104 chemical sciences, Nanopore, Chemistry, Mechanics of Materials, TA401-492, Artificial intelligence, 0210 nano-technology, business
Abstract: Two-dimensional nanomaterials, such as graphene, have been extensively studied because of their outstanding physical properties. Structure and topology of nanopores on such materials can be important for their performances in real-world engineering applications, like water desalination. However, discovering the most efficient nanopores often involves a very large number of experiments or simulations that are expensive and time-consuming. In this work, we propose a data-driven artificial intelligence (AI) framework for discovering the most efficient graphene nanopore for water desalination. Via a combination of deep reinforcement learning (DRL) and convolutional neural network (CNN), we are able to rapidly create and screen thousands of graphene nanopores and select the most energy-efficient ones. Molecular dynamics (MD) simulations on promising AI-created graphene nanopores show that they have higher water flux while maintaining rival ion rejection rate compared to the normal circular nanopores. Irregular shape with rough edges geometry of AI-created pores is found to be the key factor for their high water desalination performance. Ultimately, this study shows that AI can be a powerful tool for nanomaterial design and screening.
Published: 2021

25. A Real-Time Fault Localization in Power Distribution Grid for Wildfire Detection Through Deep Convolutional Neural Networks

Author: Meng Zhao and Masoud Barati
Subjects: Computer science, business.industry, Deep learning, Feature vector, Feature extraction, Pattern recognition, Fault (power engineering), Convolutional neural network, Industrial and Manufacturing Engineering, Units of measurement, Control and Systems Engineering, Distributed generation, Observability, Artificial intelligence, Electrical and Electronic Engineering, business
Abstract: Fault localization in power distribution systems plays an important role in the resiliency of large-scale power distribution grids since its accuracy can influence the restoration time that needs to be minimized. In this article, we proposed a real-time deep learning algorithm to classify and localize the faults that occurred in the system based on measured data. To get the accurate fault location that may cause the potential fire, we extracted the feature vectors with the measured values of the distribution lines and applied a deep convolutional neural network classifier on them. Also, the presented method was able to detect the fault type, and compute its released energy that can contribute to wildfire based on the measured voltages and currents of the distribution nodes. Unlike prior data-driven methods, the proposed classifier was based on the single observability of the sensor measurement devices due to the limited access to the data and a limited number of measurement units. The performances of our scheme were validated through simulations of four types of faults in a real distribution test feeder under varying system observability, measurement attribute with and without distributed generation units. The proposed classifiers were able to determine the possible fire due to different fault types under 100% accuracy and find the possible fire location with an average accuracy of 85%.
Published: 2021
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26. Income and healthcare financing system in the United States: an asymmetric analysis

Author: Hadiseh Fariditavana and Mehdi Barati
Subjects: Finance, 03 medical and health sciences, business.industry, Healthcare financing, 030503 health policy & services, 0502 economics and business, 05 social sciences, Economics, 050207 economics, 0305 other medical science, business, General Economics, Econometrics and Finance
Abstract: PurposeThe purpose of this study is to first assess how the US healthcare financing system is influenced by income variation. Then, it examines whether or not the impact of income variation is asymmetric.Design/methodology/approachFor the analyses of this paper, the autoregressive distributed lag (ARDL) model is implemented to a data set covering the period from 1960 to 2018.FindingsThe results provide evidence that major funding sources of aggregate healthcare expenditure (HCE) respond differently to changes in income. The results also imply that the effect of income is not always symmetric.Originality/valueMany studies have attempted to identify the relationship between income and HCE. A common feature of past studies is that they have only focused on aggregate HCE, while one might be interested in knowing how major funders of aggregate HCE would be affected by changes in income. Another common feature of past studies is that they have assumed that the relationship between income and HCE is symmetric.
Published: 2021
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27. Breaking the acoustic diffraction limit with an arbitrary shape acoustic magnifying lens

Author: Mohammad Hosein Fakheri, Hooman Barati Sedeh, Chen Shen, Fei Sun, and Ali Abdolali
Subjects: Diffraction, Computer science, Science, 02 engineering and technology, 01 natural sciences, Article, law.invention, Optics, Position (vector), law, 0103 physical sciences, Limit (music), Homogeneity (physics), 010306 general physics, Transformation optics, Multidisciplinary, business.industry, Metamaterial, Acoustics, 021001 nanoscience & nanotechnology, Lens (optics), Transformation (function), Metamaterials, Medicine, 0210 nano-technology, business
Abstract: Based on the transformation acoustics methodology, the design principle for achieving an arbitrary shape magnifying lens (ASML) is proposed. Contrary to the previous works, the presented ASML is competent of realizing far-field high resolution images and breaking the diffraction limit, regardless of the position of the utilized sources. Therefore, objects locating within the designed ASML can be properly resolved in the far-field region. It is shown that the obtained material through the theoretical investigations becomes an acoustic null medium (ANM), which has recently gained a significant attention. Besides the homogeneity of ANM, which makes it an implementable material, it is also independent of the perturbation in the geometry of the lens, in such a way that the same ANM can be used for different structural topologies. The obtained ANM has been implemented via acoustics unit cells formed by membranes and side branches with open ends and then was utilized to realize an ASML with the aid of effective medium theory. It is shown that the far-field results of an ideal ASML abide well with the results of the implemented sample, validating the proposed design principle. The presented acoustic magnifying lens has a wide spectrum of possible applications ranging from medical imaging, and biomedical sensors to focused ultrasound surgery.
Published: 2021

28. Warning signals of elevated prediabetes prevalence in the modern Iranian urban population

Author: Shiva Khaleghparast, Majid Maleki, Nasim Naderi, Azin Alizadehasl, Behshid Ghadrdoost, Mojtaba Malek, Bahram Mohebbi, Mohammad Javad Alemzadeh-Ansari, Zahra Ghaemmaghami, Feridoun Noohi, Zahra Hosseini, Hooman Bakhshandeh, Parham Sadeghipour, Yasaman Khalili, Shabnam Boudagh, Yeganeh Karimi, Hamidreza Pouraliakbar, Maedeh Arabian, Mohammadreza Baay, and Somayyeh Barati
Subjects: Adult, Male, Urban Population, Endocrinology, Diabetes and Metabolism, Population, Prevalence, 030209 endocrinology & metabolism, Iran, Disease cluster, Logistic regression, Cohort Studies, Prediabetic State, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Diabetes mellitus, Diabetes Mellitus, Internal Medicine, Humans, Medicine, 030212 general & internal medicine, Prediabetes, education, Aged, education.field_of_study, Nutrition and Dietetics, business.industry, Middle Aged, medicine.disease, Cross-Sectional Studies, Blood pressure, Female, Family Practice, business, Cohort study, Demography
Abstract: Background We sought to estimate the prevalence of diabetes mellitus (DM) and pre-DM and their associated factors among a sample of the Iranian urban population between 2017 and 2019. Methods The present investigation is a sub-study on the HAMRAH cohort study, a longitudinal population-based cohort study to assess the 10-year risk of cardiovascular diseases and their related risk factors in the adult population of the Iranian capital, Tehran. Via a multistage cluster randomized sampling method, 2123 adults aged between 30 and 75 years who had no history of cardiovascular diseases were selected for the study. With the aid of the 2010 American Diabetes Association criteria for the definition of DM and pre-DM, age and sex-specific prevalence rates were estimated. Results The estimated overall prevalence of DM was 14.3% (95% CI: 13.1%–15.8%): 10.4% known DM (95% CI: 9.1%–11.8%) and 4% newly diagnosed DM (95% CI: 3.1%–5.1%). Pre-DM was detected in about 29.2% of the study participants (95% CI: 22.9–36.3%). Our logistic regression analysis revealed that increasing age, higher systolic blood pressure, higher levels of triglycerides, and lower levels of high-density lipoprotein were significantly associated with DM. Conclusions DM and pre-DM follow a notable incremental pattern among the Iranian urban population. This finding underscores the significance of the need to improve prevention and screening strategies in the Iranian urban population.
Published: 2021
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29. Intake of Various Food Groups and Risk of Breast Cancer: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies

Author: Reza Barati-Boldaji, Marzieh Akbarzadeh, Siavash Babajafari, Nazanin Mohammadipoor, Cian C T Clark, Zahra Esmaeilinezhad, Sepideh Soltani, and Asma Kazemi
Subjects: Medicine (miscellaneous), Breast Neoplasms, Review, law.invention, Food group, 03 medical and health sciences, 0302 clinical medicine, Animal science, Breast cancer, Randomized controlled trial, Risk Factors, law, Vegetables, Animals, Humans, Medicine, Prospective Studies, 030212 general & internal medicine, Prospective cohort study, Nutrition and Dietetics, business.industry, food and beverages, medicine.disease, Diet, 030220 oncology & carcinogenesis, Relative risk, Meta-analysis, Cohort, Red meat, Female, business, Food Science
Abstract: Despite increasing evidence for the association of food-based dietary patterns with breast cancer risk, knowledge about the shape of the relationship and the quality of meta-evidence are insufficient. We aimed to summarize the associations between food groups and risks of breast cancer. We performed a systematic literature search of the PubMed and Embase databases up to March 2020. We included cohort, case-cohort, nested case-control studies, and follow-up studies of randomized controlled trials that investigated the relationship between breast cancer risk and at least 1 of the following food groups: red meat, processed meat, fish, poultry, egg, vegetables, fruit, dairy product (overall, milk, yogurt, and cheese), grains/cereals, nuts, legumes, soy, and sugar-sweetened beverages. Summary risk ratios (RRs) and 95% CIs were estimated using a random-effects model for linear and nonlinear relationships. Inverse linear associations were observed for vegetables (RR per 100 g/d, 0.97; 95% CI, 0.95–0.99), fruit (RR per 100 g/d, 0.97; 95% CI, 0.95–0.99), cheese (RR per 30 g/d, 0.95; 95% CI, 0.91–1.00), and soy (RR per 30 g/d, 0.96; 95% CI, 0.94–0.99), while positive associations were observed for red (RR per 100 g/d, 1.10; 95% CI, 1.03–1.18) and processed meat (RR per 50 g/d, 1.18; 95% CI, 1.04–1.33). None of the other food groups were significantly associated with breast cancer risk. A nonlinear association was observed only for milk, such that the intake of >450 g/d increased the risk, while no association was observed for lower intake amounts. High intakes of vegetables, fruit, cheese, and soy products and low intakes of red and processed meat were associated with lower risks of breast cancer. However, causality cannot be inferred from these statistical correlations.
Published: 2021
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30. Rates of Anxiety, Depression, and Stress Among High School Students During the COVID-19 Pandemic

Author: Ensiyeh Jenabi, Majid Barati, Farshid Shamsaei, Samane Shirahmadi, Mohammad Haghighi, Sepideh Zareian, Yaser Nankali, Saeid Bashirian, Rashid Heidarimoghadam, Shahnaz Farzian, Mohammad Poorsdavood, Aliakbar Asgari, and Salman Khazaei
Subjects: Coronavirus disease 2019 (COVID-19), business.industry, Anxiety depression, Mental health, Psychiatry and Mental health, Statistical analyses, Pandemic, Stress (linguistics), Medicine, Anxiety, medicine.symptom, business, Depression (differential diagnoses), Demography
Abstract: Background: The novel coronavirus (COVID-19) was first reported in Wuhan, China, and has since then spread worldwide, resulting in a large number of hospitalizations and deaths. To the best of our knowledge, the study about the mental health status (depression, anxiety, and stress) among high school students during COVID-19 has not been performed in Iran. Objective: This study was performed to investigate rates of anxiety, depression, and stress among high school students during the pandemic of COVID-19. Method: This cross-sectional study was performed among high school students (12-18 years) from 30 April until 1 June 2020, in Hamadan City, west of Iran. In total, 2852 students contributed to the present study. Depression Anxiety and Stress Scale 21 (DASS-21) was used in this study. Statistical analyses were conducted in STATA 14 with a significant level of 0.05. Results: The present study showed that although stress status was normal among most high school students (70.3%), the status of anxiety and depression was high. The boys had reported a higher proportion of normal status of depression (51.62% vs. 44.97%), anxiety (31.71% vs. 26.91%), and stress (77.66% vs. 66.10%) compared to the girls. Also, students in grades 7-9 had reported a higher percentage of normal status in all three dimensions of stress, anxiety, and depression. Conclusion: These findings suggest that as rates of depression and anxiety are high, schoolage children may benefit from policymakers and other authorities’ active role.
Published: 2021
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31. A Hierarchical Congestion Control Method in Clustered Internet of Things

Author: Alli Barati, Sadaf Mokhtari, and Hamid Barati
Subjects: Network congestion, Hardware and Architecture, business.industry, Computer science, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Internet of Things, business, Software, Information Systems, Theoretical Computer Science, Computer network
Abstract: Internet of things (IoT) is a modern technology where data can be transmitted to any things (human, animal, or object) over communications networks, whether Internet or intranet. Congestion occurs when the input data rate to the node, higher than the output data rate of node. Congestion control in computer network modulates traffic entry into a network in order to avoid congestive. This paper suggests a method for congestion control in the internet of things in two phases. The first phase is intra-cluster congestion control, which uses two parameters congestion score (CS) and buffer empty space (BES) to congestion avoidance. In this phase based on these two parameters, 9 states are defined to determine the congestion status of each node, and based on these 9 states the appropriate decision is made to the node. The second phase is inter-clusters congestion control. In this phase, after determined cluster head priority, the parameters of back off timer (BFT), waiting time to receive acknowledgment (WTTRACK), sequence number (SEQ) and retransmission counter (RC) are used for congestion control. The proposed congestion control method is simulated by NS-2 software. A comparison between the performance of proposed method and conventional methods shows that applying proposed method results in a significant improvement in average congestion score (CS), packet lost rate, energy consumption and end-to-end delay.
Published: 2021
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32. Are history of dietary intake and food habits of patients with clinical symptoms of COVID 19 different from healthy controls? A case–control study

Author: Barat Barati, Faezeh Bahrami, Elham Pirabbasi, Mojtaba Kalantar, Masoumeh Kaydani, Shirin Amini, Houra Mohseni, and Behnaz Abiri
Subjects: Adult, 0301 basic medicine, Adolescent, Coronavirus disease 2019 (COVID-19), Food habits, Endocrinology, Diabetes and Metabolism, Population, 030209 endocrinology & metabolism, Iran, Logistic regression, Food group, Eating, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Surveys and Questionnaires, Environmental health, Odds Ratio, Humans, Medicine, Young adult, education, Exercise, Pandemics, Aged, Symptoms of COVID 19, education.field_of_study, 030109 nutrition & dietetics, Nutrition and Dietetics, SARS-CoV-2, business.industry, Case-control study, COVID-19, Feeding Behavior, Odds ratio, Middle Aged, Food group's intake, Confidence interval, Diet, Food, Case-Control Studies, Original Article, business
Abstract: Summary Background Coronavirus disease 2019 (COVID-19) is an infectious disease that put unprecedented significant strain on clinical services and healthcare systems. The aim of the present research was to assess dietary food groups and also food habits of patients with clinical symptoms of COVID 19 and healthy controls. Methods This case–control research was carried out on 505 participants (279 subjects with clinical symptoms of COVID-19 and 226 controls), in age 18–65 years. Dietary food group's intake last year was investigated by a food frequency questionnaire. Food habits were asked by a general information questionnaire. The strength of the association between food group's intakes with the odds ratios (ORs) of COVID-19 was assessed using Logistic regression models. Results After adjusting for physical activity in the logistic regression models, intake of dough and yogurt had a significantly protective role on occurrence of COVID19 (OR = 0.62; 95% confidence interval (CI) = 0.44–0.87; P = 0.006) (OR = 0.74; 95% CI = 0.56–0.98; P = 0.044), respectively. No significant differences were seen in food habits between the two groups in the last year ago. Conclusions High risk population for COVID19, advised to consume enough amount of yogurt and dough at the time of this pandemic.
Published: 2021
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33. Frequency of and risk factors for beta-lactamase-producing Escherichia coli Isolates in hospitalized patients

Author: Hooman Barati, Mahzad Erami, Azin Sahebfosooli, Babak Soltani, Hamed Haddad Kashani, and Hamid Reza Gilasi
Subjects: Imipenem, medicine.medical_specialty, business.industry, medicine.drug_class, medicine.medical_treatment, Antibiotics, Ceftazidime, Odds ratio, bacterial infections and mycoses, 030226 pharmacology & pharmacy, Meropenem, 03 medical and health sciences, 0302 clinical medicine, Antibiotic resistance, Internal medicine, Beta-lactamase, Medicine, Pharmacology (medical), business, 030217 neurology & neurosurgery, Etest, medicine.drug
Abstract: Escherichia coli, a member of the Enterobacteriaceae family, is responsible for a considerable rate of inpatient and outpatient infections. Recently, the rate of antibiotic resistance in E. coli infections and the production of β-lactamase, such as extended-spectrum β-lactamase (ESBL) and metallo-β-lactamase (MBL), has increased dramatically worldwide. The aim of this study was to evaluate the rate of and risk factors for β-lactamase production and to identify antibiotic resistance patterns in the public hospitals of a medical university in Iran. This was a cross-sectional study of 250 positive E. coli cultures collected between 2016 and 2018. We recorded age, sex, sample type (urine, blood, pus, and ascites), ward of admission, history of antibiotic use, administration over the previous month, and history of hospitalization in the last 3 months. Antibiotic resistance was identified by means of disk diffusion and confirmed with an epsilometer test. ESBL and MBL production were also assessed. Among 250 E. coli cultures, 40 (16%) produced MBL, 98 (32.9%) produced ESBL, and 123 (49.2%) had a multidrug-resistant (MDR) phenotype. In multivariate analysis, the odds of detecting MBL-producing E.coli isolates were lower with blood samples (odds ratio [OR] 0.17; p = 0.024) and hospital stays of
Published: 2021
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34. Stochastic Multi-objective Short-term Hydro-thermal Self-scheduling in Joint Energy and Reserve Markets Considering Wind-Photovoltaic Uncertainty and Small Hydro Units

Author: Hassan Barati, Mohammad Reza Behnamfar, and Mahdi Karami
Subjects: Small hydro, Mathematical optimization, business.industry, Stochastic process, Computer science, 020209 energy, Pareto principle, Scheduling (production processes), 02 engineering and technology, Stochastic programming, Renewable energy, Electricity generation, 020401 chemical engineering, 0202 electrical engineering, electronic engineering, information engineering, 0204 chemical engineering, Electrical and Electronic Engineering, business, Integer programming
Abstract: In this paper, a stochastic multi-objective structure is introduced in joint energy and reserve market to allow energy generation companies (GENCOs) participating in the short-term hydro-thermal self-scheduling with wind, photovoltaic uncertainty and small-hydro units. In addition, uncertainties including energy price, spinning and non-spinning reserve prices as well as the uncertainty of renewable energy resources such as output power of the wind, PV and small-hydro power plants are mentioned. One pivotal feature of this study is that two methods are used to generate stochastic multi-objective scenarios, namely lattice monte carlo simulation and roulette wheel mechanism. After that, the main purpose of the study is described, i.e., making GENCOs able to achieve the maximum profit and the minimum emission by using a multi-objective function considering a stochastic process. To reach this aim, the mixed integer programming which includes a set of multi stage deterministic scenarios is employed. However, some special cases should be introduced in the formulation structure of the presented scheduling regarding hydro-thermal units to make the SMO-HTSS problem with wind, PV and SH units alike real time modeling. Since optimal Pareto solutions are produced in this method, one can allude to the application of the e-constraint method. Nevertheless, in order to select one of the most appropriate solutions among Pareto solutions obtained, the utilization of fuzzy method has been presented. In the end, some tests are carried out on an IEEE 118-bus test system to verify the accuracy and validity of the proposed method.
Published: 2021
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35. Predictors of Drug Abuse Relapse for Iranian Addicted Women: An Application of Social Cognitive Theory

Author: Sharareh Bagheri, Younes Mohammadi, Majid Barati, Hadi Ghazanfari Zarnagh, and Saeid Bashirian
Subjects: Substance abuse, business.industry, medicine, General Medicine, medicine.disease, business, Social cognitive theory, Clinical psychology
Published: 2021
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36. Low‐level laser therapy using laser diode 940 nm in the mandibular impacted third molar surgery: double-blind randomized clinical trial

Author: Mahdieh-Sadat Moosavi, Hoda Barati, Behrouz Jalali, Melika Rajaei Arbabi, and Ehsan Momeni
Subjects: medicine.medical_treatment, Dentistry, Pain, Trismus, Placebo, law.invention, 030207 dermatology & venereal diseases, 03 medical and health sciences, 0302 clinical medicine, Double-Blind Method, Randomized controlled trial, law, Third molar, medicine, Edema, Humans, Low-Level Light Therapy, General Dentistry, Low level laser therapy, Retrospective Studies, Pain, Postoperative, business.industry, Tooth, Impacted, 030206 dentistry, Ibuprofen, Clinical trial, lcsh:RK1-715, Sample size determination, Low‐level laser, lcsh:Dentistry, Tooth Extraction, Oral and maxillofacial surgery, Molar, Third, Surgery, medicine.symptom, business, Research Article, medicine.drug
Abstract: Background The effect of low-level laser therapy (LLLT) on pain mitigation following the third molar surgery is still controversial. The absence of a standard method for using laser among the studies is related to the types of sample selection, sample size, control, and LLLT parameters, which make pain mitigation following surgery more controversial. Therefore, this study aimed to determine the effect of LLLT on reducing pain, swelling, and trismus following the mandibular impacted third molar surgery. Methods This study was performed on 25 healthy subjects. After the surgery, amoxicillin 500 mg was prescribed every 8 h for a 7-day period besides oral Ibuprofen (Gelofen) 400 mg every 12 h for a 3-day period. The intraoral Laser diode 940 nm was applied immediately after suture on the tested side, while on the placebo side, a fiber tip was used with no laser radiation following surgery. Eventually, the pain score was evaluated by VAS index from the 1st to the 7th-day post-surgery and then analyzed by SPSS 24. Results The results indicate that the mean swelling and trismus before, during, 2 days after, and 7 days after the intervention did not differ significantly between the two studied groups. However, the results show that on the sixth and seventh days, the pain was significantly lower in the intervention group compared to the control group. Conclusions The results suggest that although the pain, swelling, and trismus following surgery were lower on the radiated side, only pain was found to be significant on the radiated side (p The registration number of the clinical trial in a Primary Registry in the WHO Registry Network is IRCT20141209020258N110 and the date of retrospective registration is 04/05/2019. The related URL is https://www.irct.ir/trial/36321.
Published: 2021

37. Global variation in postoperative mortality and complications after cancer surgery: a multicentre, prospective cohort study in 82 countries

Author: Stephen R Knight, Catherine A Shaw, Riinu Pius, Thomas M Drake, Lisa Norman, Adesoji O Ademuyiwa, Adewale O Adisa, Maria Lorena Aguilera, Sara W Al-Saqqa, Ibrahim Al-Slaibi, Aneel Bhangu, Bruce M Biccard, Peter Brocklehurst, Ainhoa Costas-Chavarri, Kathryn Chu, Anna Dare, Muhammed Elhadi, Cameron J Fairfield, J Edward Fitzgerald, Dhruv Ghosh, James Glasbey, Mark I. van Berge Henegouwen, J.C. Allen Ingabire, T Peter Kingham, Marie Carmela Lapitan, Ismaïl Lawani, Bettina Lieske, Richard Lilford, Janet Martin, Kenneth A McLean, Rachel Moore, Dion Morton, Dmitri Nepogodiev, Faustin Ntirenganya, Francesco Pata, Thomas Pinkney, Ahmad Uzair Qureshi, Antonio Ramos-De la Medina, Aya Riad, Hosni Khairy Salem, Joana Simões, Richard Spence, Neil Smart, Stephen Tabiri, Hannah Thomas, Thomas G Weiser, Malcolm West, John Whitaker, Ewen M Harrison, Arben Gjata, Maria Marta Modolo, Sebastian King, Erick Chan, Sayeda Nazmun Nahar, Ade Waterman, Dominique Vervoort, Alemayehu Ginbo Bedada, Bernardo De Azevedo, Ana Gabriela Figueiredo, Manol Sokolov, Venerand Barendegere, Gerald Ekwen, Arnav Agarwal, Qinyang Liu, Juan Camilo Correa, Kalisya Luc Malemo, Jacques Bake, Jakov Mihanovic, Kamila Kuncarová, Julius Orhalmi, Hosni Salem, Jyri Teras, Aristotelis Kechagias, Alexis P Arnaud, Judith Lindert, Vasileios Kalles, Maria-Lorena Aguilera-Arevalo, Gustavo Recinos, Zsolt Baranyai, Basant Kumar, Harish Neelamraju Lakshmi, Sanoop Koshy Zachariah, Philip Alexander, Sunil Kumar Venkatappa, C Pramesh, Radhian Amandito, Christina Fleming, Luca Ansaloni, Gianluca Pellino, Ahmed M. Altibi, Ibrahim Nour, Intisar Hamdun, Ali M. Ghellai, Donatas Venskutonis, Tomas Poskus, Justas Zilinskas, Precious Malemia, Yong Yong Tew, Elaine Borg, Sarah Ellul, fatima Zahraa Wafqui, David W Borowski, Anne Sophie van Dalen, Cameron Wells, Harissou Adamou, Adesoji Ademuyiwa, Adewale Adisa, Kjetil Søreide, Sara Al Saqqa, Osaid Alser, Haya Tahboub, Helmut Alfredo Segovia Lohse, Sebastian Shu Yip, Piotr Major, António Sampaio Soares, Matei Razvan Bratu, Andrey Litvin, Armen Vardanyan, JC Allen Ingabire, Ahmad Gudal, Naif Albati, Jovan Juloski, Miran Rems, Sarah Rayne, Stephanie Van Straten, Yoshan Moodley, Irene Ortega Vázquez, Jaime Ruiz-Tovar, Kithsiri Janakantha Senanayake, Sujeewa Priyantha Bandara Thalgaspitiya, Omer Abdelbagi Omer, Anmar Homeida, Yucel Cengiz, Daniel Clerc, Muhammad Alshaar, Hanen Bouaziz, Yuksel Altinel, Matthew Doe, Maryna Freigofer, Ella Teasdale, Rakan Kabariti, Joshua Michael Clements, Stephen Richard Knight, Ahsan Ashfaq, Ijeoma Azodo, Gabriela Wagner, Ivan Trostchansky, Mayaba Maimbo, David Linyama, Helidon Nina, Amanda Zeko, Claudio Gabriel Fermani, Santiago Villalobos, Federico Carballo, Pablo Farina, Sebastian Guckenheimer, Marilla Dickfos, Ankit Ajmera, Chester Chong, Ralph Gourlay, Sikandar Hussaini, Yi Jia Lee, Adeeb Majid, Peter Martin, Rebecca Miles, Owen James Morris, Jamie Phua, William Ridley, Tarunpreet Saluja, Ryan Renxin Tan, Jen Teh, Anna Wells, Bharti Arora, Qaasim Dollie, Debbie Ho, Yanru Ma, Omattage Mahasha Perera, Anthony Truong, Amanda Caroline Dawson, Bryan Lim, Upuli Pahalawatta, Jacqueline Phan, Xiao-Ming Sarah Woon-Shoo-Tong, Andrea Yeoh, Lillian Charman, Andrew Drane, Sharon Laura, Charmaine Chu Wen Lo, Amy Mozes, Rita Poon, Hao Han Tan, Ellen Wall, Prakshi Chopra, Jasmine De Giovanni, Bal Dhital, Brian Draganic, Alexander Duller, Jonathan Gani, Yao Kuan Goh, Jun Young Jeong, Brendan McManus, Prakash Nagappan, Peter Pockney, Anya Rugendyke, Mahsa Sarrami, Stephen Smith, Vanessa Wills, Hsu Ven Wong, Geoffrey Ye, Geoffrey Zhang, Ethan Brooker, Daniel Feng, Bonnie Lau, Carlin Ngai, Sarah Birks, David Gyorki, Jaime Otero de Pablos, Ali Abbosh, Chris Gillespie, Ahmed Mahmoud, Bianca Kwan, Joshua Lawson, Andrea Warwick, Janne Bingham, Andrew J Cockbain, Nagendra Naidu Dudi-Venkata, Jordan Ellaby-Hall, Ben Finlay, Emily Humphries, Jade Pisaniello, Monique Pisaniello, Salma Salih, Tarik Sammour, Haidar Hadri Abd Wahab, April De Silva, Nicola Hayward, Kartik Iyer, Guy Maddern, Gian Andrea Prevost, Naga Annapureddy, Krishna Pranathi Settipalli, Jeremy Yeo, Lucy Hempenstall, Lily Pham, Shaun Purcell, Cherry Talavera, Ashish I Vaska, Gurpreet Chaggar, Phillip Chrapko, Annelise Cocco, Sarah Michelle Crystal Jade Coulter-Nile, Grahame Ctercteko, James French, Houchen Gong, Martijn Gosselink, Thuvarahan Jegathees, Ivan Jin, Michelle Kalachov, Kathryn Kiefhaber, Katherine Lee, Jason Luong, Steven Phan, Henry Pleass, Kelly Veale, Zhi Zeng, Angela Au, Ashe DeBiasio, Idy Deng, Jananee Myooran, Amrita Nair, Peter Stewart, Anton Stift, Lukas Walter Unger, Kerstin Wimmer, Nabila Ahmed, Syed Hasan, Saber Rahman, Margaret O'Shea, Greg Padmore, Adrian Peters, Pietro Perduca, Guenda Pulcina, Nicolas Tinton, Frederic Buxant, Elsa Dabin, Giulia Garofalo, Francis Dossou, Freddy Houehanou Rodrigue Gnangnon, Yacoubou Imorou Souaibou, Pako Motlaleselelo, Omphile Tlhomelang, Igor Lima Buarque, Gustavo Mendonça Ataíde Gomes, Aldo Vieira Barros, Ilia Batashki, Nikolai Damianov, Vladislav Stoyanov, Dragomir Dardanov, Svilen Maslyankov, Plamen Petkov, George Todorov, Evgeni Zhivkov, Aygulya Akisheva, Miguel Angel Castilla Moreno, Geno Genov, Ivelina Ilieva, Tsvetomir Ivanov, Martin Karamanliev, Azhar Khan, Emil Mitkov, Tsanko Yotsov, Boyko Atanasov, Nikolay Belev, Mihail Slavchev, Carlos Nsengiyumva, Elgan Jones, Simon Stock, Steve Kyota, James Brown, Tresor Mabanza K., Lemery Nigo Samuel, Chidi Otuneme, Ngwang Prosper, Franklin Umenze, Marylise Boutros, Natasha Caminsky, Sinziana Dumitra, Richard Garfinkle, Dominique Morency, Ebram Salama, Alexander Banks, Lorenzo Ferri, Haitian He, Amit Katz, Alexander Sender Liberman, Sarkis Meterissian, Allison Pang, Elena Parvez, Usmaan Hameed, Fahima Osman, Sangita Sequeira, Natalie Coburn, Alisha Jaffer, Paul Karanicolas, Matthew Mosseler, Reilly Musselman, Xinyuan Liu, Ching Wan Yip, Juan Sebastian Garces-Otero, Carolina Guzman, Sebastian Sierra, Andres Uribe Valencia, Paulo Andrés Cabrera Rivera, Saul Camelo, Andrea Gonzalez, Alejandro González-Orozco, Manuel Santiago Mosquera Paz, Carlos J- Perez Rivera, Felipe Gonzalez, Andres Isaza-Restrepo, Laura Nino- Torres, Natalia Arias Madrid, Maria Clara Mendoza Arango, Justin Tsandiraki, Damir Jemendžic, Branislav Kocman, Oliver Šuman, Renata Canic, Darko Jurišic, Ivana Karakas, Ana Krizanovic Rupcic, Vlatka Pitlovic, Josip Samardžic, Mario Kopljar, Ivan Bacic, Edgar Domini, Robert Karlo, Danijela Miljanic, Andrea Simic, Mariam Ahmed, Majdi Al Nassrallah, Rabiya Altaf, Talal Amjad, Ruba Eltoum, Heba Haidar, Alhassan Hassan, Omar Khalil, Marwan Qasem, Rommel Ramesh, Gautham Sajith, Maham Wisal, Jan Žatecký, Michele Bujda, Katerina Jirankova, Ales Paclik, Aya Abdallah, Mariam Abdulgawad Almogy, Esraa Ayman El-sawy, Ahmed Moustafa ElFayoumy, Nourhan Elghareeb, Nourhan Ahmed Esmat, Ahmed Fadel, Abdullah Habater, Heba Hamdy, Amr Hefni, Marwa Kamal, Norhan Mohamed Abobakr, Ahmed Sayed, Nancy Shaker, Ehab Taha, Hoda Tharwat, Omar Zakaria, Ibrahem Abdelmotaleb, Ali Al-Dhufri, Hamza S. Al-Himyari, Enas El sheikh, Asmaa Eldmaty, Aya Elkhalawy, Ahmed M.Elkhashen, Kithara Magdy, Safa Mostafa, Habib Doutoum Sadia, Mohamed mahmoud Saleh, Dina Samir, Mohamed Yahia Mohamed Ali, Mahmoud A. Nassar, Samar Abdelhady, Aly Abdelrazek, Israa Abdelsalam, Aya El-Sawy, Eman Essam, Mohamed Gadelkarim, Khaled Ghaly, Mohamed Hassabalnaby, Rana Masarani, Nourhan Mohamed Shaaban, Ahmed Sabry, Menatalla Salem, Nourhan Akram Soliman, Diaaaldin Zahran, Moustafa Ramadan Abou El.soud, Esraa Tarek Badr, Hala Borham, Nehal Elmeslemany, Mohammad Elsayed, Fawzia Elsherif, Sara Eslam, Gehad Gaber, Sondos Ibrahim, Yara Kamh, Abdelrahman Mahmoud, Shimaa gamal Mohamed, Eman Morshedy, Cinderella Omar, Fatima Salem Soliman, Shaza Abdelkawy, Naglaa Abdelmohsen, Mahmoud Abdelshakour, Ahmed Dahy, Norhan Gamal, Mohammed Gamal, Ahmad Hasan, Helal Hetta, Nehad Mousa, Mohamed Omar, Somia Rabie, Mahmoud Saad, Bakeer Saleh, Marwa Sayed Mohamed, Muhammad Shawqi, Heba Abdelhady Mousa, Mostafa Alnoury, Mohamed Elbealawy, Ahmed Elshafey, Muhammad Essam Ibrahim El Desouki Muhammad Ahmed, Mennatullah Ghonaim, Fawzy Hgag, Mohamed Ibrahim, Mahmoud Morsy, Mohamed Reda Loaloa, Ahmed Refaat, Hadeer Samir, Fatma Shahien, Mohamed Sobhy, Fathy Sroor, Esraa Abdellatif, Marina Adel, Amr Abdelghani Afifi, Eman Afifi, Marco Antaky, Amr Dawoud, Naira El Zoghby, Amira El-remaily, Ali Abdelazez Elzanfaly, Ahmed Gadallah, Fatma Alzahraa Gamal, Omar Hashem, Shrouk Medhat Youssef, Aliaa Muhammad Attyah, Malak Munir, Omar Shazly, Esraa Taha, Karim Wilson, Sawsan Adel, Asmaa Ali, Esraa Eid, Esraa Elhelow, Marwa Elmahdy, Bassant Elshatby, Amany Hossam el-din Zakaria, Ahmad Hossny, Eman Ibrahim, Ahmed M.Yonis, Maram Metwalli, Basant Yousry, Esraa Zid, Mina A Yacoub, Ahmed Abdelhakim, Nervana Abouelsoad, Mo'min Alkhatib, Ahmed Ashraf, Alaa Ashraf, Yasmin Elazab, Mahmoud Elfanty, Osama Elkabir, Mai Elsayed, Ahmed Elshimy, Hager Elsobky, John Eskander, Ahmed Gad, Ward Hamsho, Noura Khaled Abdelwahed, Menna Magdy, Dalia Moharam, Abeer Osama, Shereen Ramadan, Radwa Roum, Taqwa Sayed, Tarneem Shehada, Ahmed Mohy Zidan, Khalid Abbas, Amr Ali, Mohamed Attia, Mohamed Balata, Ayman El Nakeeb, Mohamed Ibrahim Elsayed Elewaily, Ahmed Elfallal, Hossam Elfeki, Ahmed Elkhadragy, Sameh Emile, Helmy Ezzat, Hasnaa Hosni, Islam Mansour, Waleed Omar, Gehad Othman, Kareem Sadek, Mostafa Shalaby, Noura Shehab-Eldeen, Rawda Anas khalifa, Helmy Badr, Mostafa Eldeep, Ahmed Eldeep, Amany Eldoseuky mohammed, Salwa Khallaf, Eman Magdy Hegazy, Rokia Mahmoud, Pola Mikhail, Mahmoud Morsi, Sara Mowafy, Dina Raafat, Amina Safy, Marwa Sera, Ahmed shible Sera, Mostafa Salim Mohamed AbdAllah, Muhammad Abdelkader, Abdulrahman Osama Abdou, Ahmedgaber Ahmed, Shireen Gaafar, Fatma Ibrahim negm, Mina Lapic, Ahmed Maher, Hagar Mahmoud, Ahmed Mostafa, Mohamed Samir, Fatma Samy, Nourhan Semeda, Hind I. Shalaby, Alaa El-taweel, Ahmed Galal Elnagar, Ahmed Gamal Hemidan, Mohamed Hussein, Ahmed.A. Kandil, Mf Moawad, Ayat Allah Nasser Hamamah, Mostafa Soliman, Mohamed Abdelkhalek, Noura Abdelmaksoud Tawakel, Ahmed Mohamed Abdelwahed, Alrawy Abdou, Khalid Atallah, Mohammed Yasser Elsherbeny, Eman Emara, Mohamed Hamdy, Omar Hamdy, Amira Haron, Salma Ismail, Islam Hany Metwally, Nihal Mohamed Hamed Elgaml, Ahmed Nassar, Basel Refky, Mirna Sadek, Mahmoud Saleh, Asmaa Yunes, Mai Zakaria, Mohammed Zuhdy, Notila Fayed, Mohammed Mustafa Hassan Mohammed, Sander Kütner, Priit Melnik, Indrek Seire, Toomas Ümarik, Eppu Ainoa, Verner Eerola, Hanna Koppatz, Laura Koskenvuo, Ville Sallinen, Sini Takala, Jevgeni Katunin, Arto Turunen, Niki Christou, Muriel Mathonnet, Vincent Lavoue, Krystel Nyangoh Timoh, Lucie Soulabaille, Romain Lesourd, Aude Merdrignac, Laurent Sulpice, Benoît André, Elodie Chantalat, Charlotte Vaysse, Bertrand Dousset, Sebastien Gaujoux, Gregory Martin, Octavian Clonda, Domantas Juodis, Klaus Kienle, Andras Mravik, Samuel Palmer, Gabor Szabadhegyi, Anita Eseenam Agbeko, Solomon Gyabaah, Frank Enoch Gyamfi, Nuhu Naabo, Atta Owusu senior, Joseph Yorke, Frank Owusu, Francis Abantanga, Theophilus Teddy Kojo Anyomih, Abdul-Jalilu Mohammed Muntaka, Emmanuel Owusu Abem, Mohammed Sheriff, Paul M. Wondoh, Dimitrios Balalis, Dimitrios Korkolis, Georgios Gkiokas, Eirini Pantiora, Theodosios Theodosopoulos, Argyrios Ioannidis, Konstantinos Konstantinidis, Sofia Konstantinidou, Nikolaos Machairas, Anna Paspala, Anastasia Prodromidou, Christos Chouliaras, Konstantinos Papadopoulos, Ioannis Baloyiannis, Ioannis Mamaloudis, George Tzovaras, Ioanna Akrida, Maria-Ioanna Argentou, Stylianos Germanos, Evangelos Iliopoulos, Ioannis Maroulis, George Skroubis, George Theofanis, Christos Chatzakis, Orestis Ioannidis, Lydia Loutzidou, Panagiotis Karathanasis, Nikolaos Michalopoulos, Charalampos Theodoropoulos, Dimitrios Theodorou, Tania Triantafyllou, Zoe Garoufalia, Natasha Hasemaki, Michalis Kontos, Gregory Kouraklis, Stylianos Kykalos, Theodore Liakakos, Eustratia Mpaili, Alexandros Papalampros, Dimitrios Schizas, Athanasios Syllaios, Ekaterini Christina Tampaki, Antonios Tsimpoukelis, Maria Ioanna Antonopoulou, Eirini Deskou, Dimitrios K. Manatakis, Dimitrios Papageorgiou, Menelaos Zoulamoglou, Christos Anthoulakis, Michalis Margaritis, Nikolaos Nikoloudis, Veronica Campo, André Ceballos, Mario-Andrés Flores, Waleska Giron, Donghyun Ko, Gabriel Martinez, Verónica Rivera Lara, Nataly Rueda, Andres Sanchez, Jorge Carlos Guillermo Tejeda Garrido, Alvaro Eduardo Alvarez Rivera, Elvis Benjamin Bamaca Ixcajoc, Lilian Elizabeth Barreda Zelaya, Patricia Chacòn-Herrera, Ligia Margarita Corea Ruiz, Guillermo Echeverria-Davila, Mario Garcia, Danilo García, Edgar Fernando Gutiérrez Mayen, Noriega José, Nery Mazariegos, Diego Méndez, Michael Paniagua Espinoza, David Bardos, Marton Benke, Kristof Illes, Balint András Kokas, Réka Szabó, Akhila Appukuttan, Anjitha Asok, Vijaykumar D.k, Kapil Malik, Praveen Ravishankaran, Ritesh Tapkire, Guru Moorthy, Joyner Abraham, Ramesh Muthuvel, John Alapatt, Abhay Kattepur, Nizamudheen Pareekutty, Mebanshanbor Garod, Caleb Harris, Cliff Wanniang, Ashish Gupta, Deepak Nehra, Sanjeev Parshad, Rajgopal Acharya, Rajendra Badwe, Manish Bhandare, Urvashi Jain, Karishma Kirti, Nita Nair, Shailesh Shrikhande, Purvi Thakkar, Premkumar Anandan, Archana C S, Arun Holenarasipur Narasannaiah, Tejaswi Jagarlamudi, Rashmi M R, Mallikarjuna Manangi, Abhishek Raghavendra, K. Seshagiri Rao, Vinay S, Vinay Sajjan, Aneesh Shenoy, Santhosh Shivashankar Chikkanayakanahalli, Kavya Tharanath, Sushmita V, Peter Adidharma, Raksheeth Agarwal, Phebe Anggita Gultom, Ghafur Rasyid Arifin, Matthew Billy, Zatira Elfizri, Alessa Fahira, Devi Felicia, Triana Hardianti Gunardi, Nadya Johanna, Nadia Rahmadiani Nugrahadi, Sonar Soni Panigoro, Siti Rahmayanti, Retta Catherina Sihotang, Santi Yuanita Brata, Hadi Winoto, Nastaran Barati, Manoochehr Karami, Hamidreza Khorshidi, Homa Naderifar, Mazin A. Abdulla, Maggie Coleman, Ronan J Doherty, Rob Hannon, Brenda Murphy, Aine Stakelum, Des Winter, Lylas Aljohmani, Richard Farnan, Yeshey Seldon, Tanna Tan, Shriya Varghese, Mohammad Alherz, Muaaz Ather, Mohammad Bajilan, Vivien Graziadei, Isobel Pilkington, Omar Quidwai, Paul Ridgway, Haaris Shiwani, Abd al-Rahman Tahir, Eimear Blunnie, Daniel Burke, Niall Kennedy, Kate Macdonagh, Maeve O'Neill, Siobhan Rooney, Giuseppe Falco, Guglielmo Ferrari, Simone Mele, Gabriela Elisa Nita, Lara Ugoletti, Maurizio Zizzo, Gianmaria Confalonieri, Giovanni Pesenti, Fulvio Tagliabue, Gianluca Baronio, Deborah Ongaro, Giacomo Pata, Bruno Compagnoni, Renato Salvadori, Lucio Taglietti, Nicola D'Alessandro, Pierpaolo Di Lascio, Giovanni Pascale, Luca Bortolasi, Tommaso Campagnaro, Massimo Carlini, Giorgio Lisi, Davide Lombardi, Corrado Pedrazzani, Domenico Spoletini, Giulia Turri, Paola Violi, Donato Francesco Altomare, Fabrizio Aquilino, Nicola Musa, Vincenzo Papagni, Arcangelo Picciariello, Leonardo Vincenti, Dario Andreotti, Savino Occhionorelli, Matteo Tondo, Stefano Maria Massimiliano. Basso, Riccardo Cirelli, Marco Enrico Mario Maino, Guglielmo Niccolò Piozzi, Emanuele Picone, Rosa Scaramuzzo, Giovanni Sinibaldi, Alfonso Amendola, Lorenzo Anastasio, Luigi Bucci, Emanuele Caruso, Antonio Castaldi, Sara Di Maso, Vincenza Paola Dinuzzi, Giovanni Esposito, Maria Gaudiello, Mariano Cesare Giglio, Paola Antonella Greco, Gaetano Luglio, Andrea Manfreda, Ester Marra, Federica Mastella, Gianluca Pagano, Roberto Peltrini, Vincenzo Pepe, Michele Sacco, Viviana Sollazzo, Giovanni Spiezio, Ettore Cianchetti, Nunzia Menduni, Michele Maria Carvello, Francesca Di Candido, Antonino Spinelli, Fabio Corsi, Luca Sorrentino, Fabio Marino, Emanuele Luigi Giuseppe Asti, Luigi Bonavina, Emanuele Rausa, Martina Asta, Andrea Belli, Francesco Bianco, Carmela Cervone, Paolo Delrio, Armando Falato, Andrea Fares Bucci, Rita Guarino, Ugo Pace, Daniela Rega, Emilia De Luca, Gaetano Gallo, Giuseppe Sammarco, Giuseppe Sena, Giuseppina Vescio, Letizia Santandrea, Giampaolo Ugolini, Davide Zattoni, Nicola Chetta, Gaetano Logrieco, Serafino Vanella, Gianluca Garulli, Nicola Zanini, Andrea Bondurri, Francesco Cammarata, Francesco Colombo, Diego Foschi, Giulia Maria Beatrice Lamperti, Anna Maffioli, Gianluca Matteo Sampietro, Al'ona Yakushkina, Gloria Zaffaroni, Enrico Cicuttin, Maria Grazia Sibilla, Harmony Impellizzeri, Marco Inama, Gianluigi Moretto, Sylvie Mochet, Elisa Ponte, Antonella Usai, Stefano Mancini, Andrea Sagnotta, Luigi Solinas, Elisa Bolzonaro, Nicolò Tamini, Gianluca Curletti, Raffaele Galleano, Michele Malerba, Sofia Campanella, Gianfranco Cocorullo, Francesco Colli, Paolino De Marco, Nicolò Falco, Tommaso Fontana, Leonel jospin Kamdem Mambou, Antonella La Brocca, Leo Licari, Brenda Randisi, Giovanna Rizzo, Giulia Rotolo, Giuseppe Salamone, Roberta Tutino, Paolina Venturelli, Stefano Malabarba, Alessandro Sgrò, Ivan Vella, Bruno Cirillo, Daniele Crocetti, Giorgio De Toma, Pierfrancesco Lapolla, Andrea Mingoli, Paolo Sapienza, Angela Belvedere, Stefania Bianchini, Margherita Binetti, Arianna Birindelli, Valeria Tonini, Mauro Podda, Fabio Pulighe, Michele De Rosa, Lorenzo Bono, Felice Borghi, Paolo Geretto, Maria Carmela Giuffrida, Corrado Lauro, Alessandra Marano, Luca Pellegrino, Paola Salusso, Diego Sasia, Michela Campanelli, Alberto Realis Luc, Mario Trompetto, Roberto Cardia, Nicola Cillara, Antonio Nicola Giordano, Antonio Costanzo, Mario Alessandro Giovilli, Luca Turati, Silvestro Canonico, Guido Sciaudone, Francesco Selvaggi, Lucio Selvaggi, Nader Albsoul, Ahmad AlBsoul, Ala'a Aldeen Alkhatib, Osama Alsallaq, Justin Z. Amarin, Rami Ayoub, Isam Bsisu, M S El Muhtaseb, Mohammad Jabaiti, Jamal Melhem, Yasmeen Z. Qwaider, Mohammad Hasan Salameh, Ahmad Suleihat, Haya H. Suradi, Mohammad Alammarin, Almoutuz Aljaafreh, Mohammad Bani hani, Zeina Bani hani, Farah Bani Hani, Toqa Fahmawee, Shadi Hamouri, Cyrine Katanani, Ra'fat Tawalbeh, Tamara Tawalbeh, Hassan Zawahrah, Mohamad K. Abou Chaar, Lana Abusalem, Mahmoud Al-Masri, Hani Al-Najjar, Lutfi Barghuthi, Zahra Ahmed, Adnan Maulana, Omar Ngotho, Charbel Kamau, Aruyaru Stanley Mwenda, Fridah Bosire, Elizabeth Mwachiro, Robert Parker, Ian Simel, Kimutai Sylvester, Abdulmunem Ahmed Mustafa Althini, Sofian Elbarouni, Aya Elseed Elbeshina, Ahmed Gwea, Ans Malek, Wedad Albashir Masoud Farag, Abdulwahab Abdalei, Abu Baker Abdel Malik, Areej Abo-khammash, Ma'aly Abuhlaiga, Nour Adnan, Marwa Albaggar, Asma Alfitory, Asma Aljanfi, Fakhruddin Almuzghi, Zohoor Altumei, Fatima Alzabti, Hana Ashoushan, Mohamed Assalhi, Joma Azzubia, Sondos Bnhameida, Malik Delhen, Houssein Elshafei, Hana Elteir, Fatima Esbaga, Abdel Aziz Gobbi, Fatma Hamouda, Hamdan Hilan, Rania Ismail, Fieruz Jebran, Muataz Kasbour, Galia Maderi, Saja Mohammad, Burooj Mohammed, Habib Murtadi, Hamassat Mustafa, Mohamed Rajab, Sarah Trenba, Mariam Wafaa, Eman Al Sagheir, Alabas Almigheerbi, Ahmed Alzahaf, Sumayyah Ghayth Bahroun, Najah Ben Dallah, Mahmoud Elshaibani, Haitem Eswaye, Maha Karar, Samah Omar, Eman Younes, Maha Younes, Dafer Zreeg, Saleh Abujamra, Firas Ashour, Mala Elgammudi, Wesal Omar F. Aljadidi, Enas Saddouh, Randa Sharif, Aya Alabuzidi, AbdulMawlay Alwerfally, Sarra Aribi, Fatma Bibas, Taha Elfaituri, Yasmine Elhajjaji, Ala Khaled, Wegdan Khalil, Tesneem Layas, Enas Soula, Ahmed Tarek, Muad fathi khalleefah Abu hallalah, Hazem Abdelkarem Ahmed, Tagwa Alsharef, Abdulsalam Ali Ben Saoud, Tasnim El Gharmoul, Ahmed Elhadi, Safa Elrais, Abdulhalim Shebani, Heba Zarti, Asaid Zeiton, Marijus Ambrazevicius, Nerijus Kaselis, Migle Stakyte, Oleg Aliosin, Agne Cizauskaite, Sarunas Dailidenas, Vitalijus Eismontas, Migle Kybransiene, Vitalija Nutautiene, Narimantas Samalavicius, Dainius Simcikas, Algirdas Slepavicius, Albinas Tamosiunas, Nerijus Ubartas, Paulius Zeromskas, Saulius Bradulskis, Edvinas Dainius, Juozas Juocas, Egle Kubiliute, Juozas Kutkevicius, Aurimas Opolskis, Audrius Parseliunas, Andrejus Subocius, Egle Virbickaite, Diana Zuikyte, Algirdas Bogusevicius, Kristina Buzaite, Daiva Cepuliene, Ieva Cesleviciene, Vaidotas Cesna, Jolanta Gribauskaite, Povilas Ignatavicius, Mantas Jokubauskas, Monika Liugailaite, Ernest Margelis, Ruta Mazelyte, Lina Pankratjevaite, Matas Pažusis, Agne Rackeviciute, Justina Saladyte, Monika Škimelyte, Vygintas Šlenfuktas, Monika Sudeikyte, Algimantas Tamelis, Tomas Vanagas, Žygimantas Žumbakys, Aivaras Atkociunas, Audrius Dulskas, Justas Kuliavas, Justas Birutis, Sigitas Paškevicius, Mindaugas Šatkauskas, Donatas Danys, Matas Jakubauskas, Lina Jakubauskiene, Marius Kryzauskas, Vytautas Lipnickas, Gabija Makunaite, Fanjandrainy Rasoaherinomenjanahary, Herizo Rasolofonarivo, Luc Hervé Samison, Bitiel Banda, Vanessa Msosa, Ahmad Imran Ahmad Izzuddin, Andre Das, Ying Yee Gan, Tan Shong Sheng, Jia yng Siaw, Mohd Fadliyazid Ab Rahim, Dyg Zahratul Hamrak Abang Jamari, Nurfariza Che Husin, Muhd Yusairi Kamarulzaman, Yi Ping Lim, Nil Amri Mohamed Kamil, Mohd Razeen Mohd Hassan, Saidah Mohd Sahid, Johari Mustafa, Elaine Hui Been Ng, Wan Khamizar Wan Khazim, Ng Chang Ern, P.g. Lingeshan, Syariz Ezuan Sulaiman, Sue Ean Ang, Muhammad Navid Bin Mohamad Sithik, Yih Jeng Cheong, Mahadevan Deva Tata, Law Jia Xian, Aravinthan Kadravello, I-Ern Koh, Li-Yen Ng, Yuki Julius Ng We Yong, Kandasami Palayan, Chi Xuan Sam, Phuah Siow Jin, Jeremy Tan Ern Hwei, Yita Tang, Alvin Zubin Ter, Michael Pak-Kai Wong, Andee Dzulkarnaen Zakaria, Zaidi Zakaria, Fitjerald Henry, Thyivya Kalaiselvan, Muhammad Fairuz Shah Abd Karim, Mohamed Rezal Abdul Aziz, Nora Abdul Aziz, Tak Loon Khong, Peng Choong Lau, Hiong Chin Lim, April Camilla Roslani, Jonathan Chen Ken Seak, Sui-Weng Wong, Lai Fen Wong, Leow Yeen Chin, Mercy Chinemerem Anyanwu, Zachary Busuttil, Thomas Calleja, Kurt Lee Chircop, Ruth Cutajar, Andrew Michael Dimech, Joseph Galea, Kiara Gascon Perai, Ruth Gatt, Lisa Kelman, Elizabeth Micallef, Favour Nwolu, Kim Sammut, Joanna Thompson, Sean Warwicker, Matthew Zammit, Fernando Cordera, Efraín Cruz González, Jorge Sánchez-García, Francisco José Barbosa Camacho, Francisco Javier Barrera López, Carlos Jose Zuloaga Fernandez del Valle, Eric Acosta, Iván Romarico González Espinoza, Perla Moreno, Ana Olivia Cortes-Flores, Clotilde Fuentes Orozco, Alejandro Gonzalez Ojeda, Samantha Corro Díaz González, Laura Martinez, Bonifacio Mosqueda Amador, Armando Novoa, Dennet Arturo Olazo Espejo, Alejandro Jimenez, Federico Lopez Rosales, Elva Gabriela Vanoye, Luis Alberto Garcia Gonzalez, Roberto Carlos Miranda-Ackerman, Manuel Solano-Genesta, Alethia Alvarez-Cano, Hector Hugo Romero-Garza, Heriberto Medina-Franco, Lorelí Mejía-Fernández, Noel Salgado-Nesme, Omar Vergara-Fernandez, Guadalupe Montserrat Gutiérrez-Mota, Francisco Xavier Hernandez Vera, Anabella Llantada Lopez, Gilberto Morgan Villela, Felipe de Jesus Ramirez Padilla, Walezka Tapia Marin, Mónica Martínez Maldonado, Ramses Sánchez Suárez, José Manuel Troche, Chaymae Benyaiche, Oumaima Outani, Souadka Amine, Amine Benkabbou, Anass Mohammed Majbar, Raouf Mohsine, Ali Rafik, Thida Oung, Moe Moe Tin, Philipp Plarre, Anna Alberga, Nina Sluiter, Jurriaan Tuynman, Robin Blok, Didem Cömert, Roel Hompes, Marianne Kalff, Merel Elisabeth Stellingwerf, Pieter Tanis, Mark van Berge Henegouwen, Elise Maria van Praag, Daan Wisselink, Michael Gerhards, Josephine Lopes Cardozo, Emma Westerduin, Joske de Jonge, Aaw van Geloven, Kaz van Schilt, Frank den Boer, Simone Stoots, Stijn Vlek, Jamie Adams, Ibrahim S. Al-Busaidi, Gabrielle Budd, Seung il Choi, Michael Jen Jie Chu, Anurag Ganugapati, Lucy McKinstry, Rebecca Pascoe, Simon Richards, Kenrick Rosser, Annie Stevenson, Rebecca White, Shebani Farik, Jin Kwun, Ahmed Murad, Sarah Cowan, Timothy Hall, Michael Hayton, Laminou Malam Sani, Souleymane Oumarou Garba, Ibrahim Amadou Magagi, Oumarou Habou, Halima Aliyu, Muhammad Daniyan, Tunde T. Sholadoye, Lawal Abdullahi, Lofty-John Anyanwu, Aminu Mohammad Mohammad, Abubakar Bala Muhammad, Abdurrahman Abba Sheshe, Ibrahim Suleiman, Alaba Adesina, Ajibola Awolowo, Clement Onuoha, Omotayo Salami, Ogechukwu Taiwo, Agboola Taiwo, Stephen Kache, Jerry Godfrey Makama, Danjuma Sale, Olajide Abiola, Akinlabi Ajao, Anthony Ajiboye, Amarachukwu Etonyeaku, Julius Olaogun, Ademola Adebanjo, Opeoluwa Adesanya, Michael Olatunji Afolayan, Olanrewaju Balogun, Ayomide Makanjuola, Samuel Nwokocha, Rufus Wale Ojewola, Thomas Olagboyega Olajide, Adewale Aderounmu, Abdul-Rashid Adesunkanmi, Augustine Agbakwuru, Adeleke Akeem Aderogba, Olusegun Isaac Alatise, Olukayode Arowolo, Oladejo Lawal, Tajudeen Mohammed, Chinedu Ndegbu, Olalekan Olasehinde, Funmilola Wuraola, Akinbolaji Akinkuolie, Arinzechukwu Mosanya, Omobolaji Ayandipo, Peter Elemile, Taiwo Akeem Lawal, Samuel Ali SANI, Stephen Garba, Rebecca Hauwa SANI, Samson Olori, Henry Onyebuashi, Ifeanyi Umoke, Adedire Adenuga, Ademola Adeyeye, Olufemi Habeeb, Bashir Lawal, Abdulrasheed Nasir, Eirik Kjus Aahlin, Didrik Kjønås, Elisabeth Myrseth, Jibran Abbasy, Abdul Alvi, Omair Saleem, Asma Afzal, Anam Nazir, Muhammad Farooq, Ayesha Liaqat, Syed Asghar Naqi, Ali Raza, Muzna Sarfraz, Muhammad Sarwar, Muntaha Banglani, Ambreen Munir, Rahmat Sehrish, Bushra Ayub, Raza Sayyed, Amna Altaf, Saima Ayub, Komal Saeed, Bilal Syed, Sana Amir Akbar, Abdul Wahid Anwer, Ruqayya Naheed Khan, Amina Iqbal Khan, Shahid Khattak, Sameen Mohtasham, Muhammad Asad Parvaiz, Aamir Ali Syed, Abdul Basit Ansari, Noman Shahzad, Tanwir Khaliq, Isbah Rashid, Shahzad Hussain Waqar, Hasan Abu Al-saleem, Amjad Abu Alqumboz, Mohammad Alqadi, Adham Amro, Rawan Assa, Eman Awesat, Rawan Ayyad, Mohammed Hammad, Ayat Haymony, Bassel Hijazi, Bara Hmeidat, Rowaa Lahaseh, Aseel Qawasmi, Alaa Rajabi, Mohammed Shehada, Sundus Shkokani, Yasmine Yaghi, Nadine Yaghi, Mohammad AlZohour, Mohammad Farid, Yousef Mahmoud Habes, Wesam Juba, Yanal Nubani, Abdelrahman Rabee, Mohammad Sa'deh, Saeed Abed, Iyad Al basos, Mohammad Alswerki, Dina Ashour, Israa Awad, Samar Diab, Alaa El Jamassi, Sahar El-Kahlout, Somaya Elhout, Ahmed N K Hajjaj, Doaa Hasanain, Baraa Nabil hajjaj, Mohammed Obaid, Eman Saikaly, Ahmed Salhi, Hiba Al-Tammam, Murad Almasri, Muath Baniowda, Doha Beshtawi, Ali Horoub, Rami Misk, Bayan Mohammad, Rami Qasrawi, Tasnim Sholi, Samar Abu-Nimeh, Abrar Abu-srour, Sadi A. Abukhalaf, Samer Adawi, Barah Alsalameh, Kholoud Ayesh, Muawiyah Elqadi, Ahmad Hammouri, Fatima Karim Mustafa, Natalie Marzouqa, Shatha Melhem, Dima Miqdad, Balqees Mohamad, Mhammed Rawhi, Ayman B. Abu Ahammala, Ahmed Abu Ataya, Israa Abu Jayyab, Samar Al-Shwaikh, Othman Alagha, Mohammed Alasttal, Haneen Awadallah, Mahmood Elblbessy, Jehad Fares, Akram Jarbou, Ibtisam Mahfouz, Moath A. Albahnasawi, Asmaa' Abo mahadi, Hasan Abuelhatal, Ayham Abuelqomboz, Abdelrahman Almoqayyad, Abdallah Alwali, Reem Balaawi, Mahmoud Hamouda, Mohammed Humeid, Abdullah Jedyan, Tasneem Mahmoud Abu hamam, Ghadeer Matar, Ali Salem, Tahani Samra, Nureddin Shaheen, Karam Shihada, Ayoob A.Nemer, Mahmoud Abu Al Amrain, Abdulwhhab Abu Alamrain, Najlaa Abu Jamie, Mohammed R. Abu-Rous, Nada Alfarra, Mohammed AlTaweel, Noor Alwhaidi, Ramadan Hamed, Bader Saqqa, Ahmad Shaheen, Dana Aljaber, Loay Aljaberi, Malak Alwaheidi, Assef Jawaada, Hani Khaldi, Rami Qahoush, Jalil Qari, Rana Saadeh, Ahlam Salim, Aseel Yacoub, Abbas Abbas, Rana Abu shua`ib, Baraa Abu Zainah, Mahmoud AbuSirrees, Basheer Babaa, Ola Barhoush, Asef Belal qadomi, Laith Daraghmeh, Reema Haji, Alaa Khatatbeh, Lana Khatib, Salsabeel Qarariah, Yara Quzmar, Khalil Safadi, Roqaya Salameh, Mohammad Hassan, Shifaa Herzallah, Loai Massad, Ahmed Nazzal, Ranin Nazzal, Dennis Escobar, Gustavo Miguel Machain V, Agustin Rodriguez Gonzalez, Jorge Emerson Chachaima Mar, Nathaly Olga Chinchihualpa Paredes, Vicente Cuba, Walter Lopez, Maria Milagros Niquen Jimenez, Nestor Alberto Sanchez Bartra, Olenka Sapallanay Ojeda, Diego Sequeiros, Andrea Toscano Pacheco, María Vergara, Sol Abarca, Rodrigo Alcorta, Giuliano Borda-Luque, Ivan Edward Eusebio Zegarra, Claudia Luján López, Mirella Marrufo, Cinthya Mogrovejo, Andrea Nomura, Yamile Rodríguez Angeles, Maitza Rosario Vidal Meza, Gabriela Zavala, José Neiser Castillo Arrascue, Jomara Caroline Hidrogo Cabrera, José Julio Mariano Larrea vera, Miguel Osorio, Edgar Alcides Ylatoma Díaz, Mark Anthony Fontanilla, Joseph Roy Fuentes, Anna Leah Salazar, Genieve Dominguez, Marc Paul Lopez, Shiela Macalindong, Mark Augustine Onglao, Arjel Ramirez, Marie Dione Sacdalan, Mayou Martin Tampo, Gemma Leonora Uy, Jeremiah Mangahas, Kenneth Yabut, Joannes Paul Cañete, Bernalynn Eris Cansana, Ernes John Castro, Maria Kaiserin Lipana, Manuel Francisco Roxas, Vlu Jean Zara, Maciej Chrol, Paula Franczak, Michal Orlowski, Piotr Budzynski, Andrzej Budzynski, Pawel Bury, Agata Czerwinska, Jadwiga Dworak, Jacek Dziedzic, Michal Kisielewski, Jan Kulawik, Anna Lasek, Piotr Malczak, Marcin Migaczewski, Michal Pedziwiatr, Magdalena Pisarska, Dorota Radkowiak, Mateusz Rubinkiewicz, Anna Rzepa, Tomasz Skoczylas, Maciej Stanek, Katarzyna Truszkiewicz, Mateusz Wierdak, Marek Winiarski, Piotr Zarzycki, Anna Zub-Pokrowiecka, Piotr Kowalewski, Rafal Roszkowski, Maciej Waledziak, Miguel Tomé, Sara Patrocinio, Ines Guerreiro, Filipe Almeida, Xavier de Sousa, Nuno Monteiro, Maria Teresa Costa Santos, Daniela de Oliveira, Marta Lopes Serra, Daniela Morgado, Christian Neves, Ana Carolina Oliveira, Alice Pimentel, Sofia Silva, Márcia Carvalho, Lúcia Carvalho, Joana Magalhães, Leonor Matos, Tânia Monteiro, Carlota Ramos, Vanessa Santos, José Barbosa, Jose Costa-Maia, Vítor Devezas, Ana Fareleira, Cristina Fernandes, Diana Gonçalves, Henrique Mora, Marina Morais, Fabiana Silva de Sousa, Sara Catarino Santos, Ana Logrado, André Tojal, Edgar Amorim, Miguel F. Cunha, Ana Fazenda, João Pedro Melo Neves, Inês Isabel Sampaio da Nóvoa Gomes Miguel, Diogo Veiga, José Azevedo, Hugo Cardoso Louro, Mariana Leite, Maria Bairos Menezes, Bárbara Gama, Diana Brito, Marta Cristina Cruz Martins, André Graça e Magalhães, Ana Catarina Longras, Rita Lourenço, Diana Matos, Luis Castro, Filipa Policarpo, Joana Romano, Cristina Monteiro, Diogo Pinto, Marina Duarte, Sónia Fortuna Martins, Mariline Oliveira, Diogo Galvão, Lisandra Martins, Anaisa Silva, Viorel Taranu, Bárbara Vieira, Jessica Neves, Simone Oliveira, Hugo Ribeiro, Margarida Cinza, Rosa Felix, Arnaldo Machado, Joana Oliveira, Joana Patrício, Rita Pedroso de Lima, Mário Pereira, Miguel Rocha Melo, Cristina Velez, Alberto Abreu da Silva, Mariana Claro, Daniel Costa Santos, Andreia Ferreira, Hugo Capote, Daniela Rosado, Filipa Taré, Oriana Nogueira, Miguel Ângelo, José Miguel Baiao, Andreia Guimarães, João Marques, Miguel Nico Albano, Marta Silva, Ana Valente da Costa, Teresa Vieira Caroço, Sara Almeida Braga, Ines Capunge, Marta Fragoso, João Guimarães, Bruno Pinto, João Ribeiro, Miguel Angel, Guilherme Fialho, Monica Guerrero, Filipa Campos Costa, Diogo Cardoso, Vasco Cardoso, Magda Alves, Inês Estalagem, Tiago Louro, Cláudia Marques, Rita Martelo, Miguel Morgado, Rita Canotilho, Ana Margarida Correia, Pedro Martins, Mariana Peyroteo, João Gomes, Rita Monteiro, Manuela Romano, Daniela Macedo Alves, Rita Peixoto, Catarina Quintela, Maria João Jervis, Débora Melo, André Pacheco, Valter Paixão, Vera Pedro, Joana Pimenta, João Pimenta de Castro, Ana Rocha, Mircea Beuran, Cezar Ciubotaru, Bogdan Diaconescu, Sorin Hostiuc, Ionut Negoi, Bogdan Stoica, NA NA, Evgeny Anokhin, Georgy Kuznetsov, Giorgi Oganezov, Fedor Paramzin, Ekaterina Romanova, Valeryan Rutkovskii, Vasilii Rutkovskii, Mikhail Shushval, Mikhail Zabiyaka, Khasan Dzhumabaev, Valerii Ivanov, Zaman Mamedli, Sergey Achkasov, Artem Balkarov, Elnur Nabiev, Marat Nagudov, Evgeny Rybakov, Karina Saifutdinova, Oleg Sushkov, Lule Joseph, Isaac Ndayishimiye, Ntirenganya Faustin, Alphonse Zeta Mutabazi, Jean Paul Mvukiyehe, Vizir J.P Nsengimana, Carine Uwakunda, Mohammad Monir Abbas, Nouf Akeel, Murad Aljiffry, Kholoud Awaji, Ali Farsi, Ghader Jamjoum, Ahmad Khoja, Ashraf Maghrabi, Nadim Malibary, Mohammed Nassif, Abdulaziz Saleem, Abdullah Sultan, Wail Tashkandi, Hanaa Tashkandi, Nora Trabulsi, Mouhamadou Bachir Ba, Adja Coumba Diallo, Abdourahmane Ndong, Vladica Cuk, Uroš Jankovic, Sharon Zhiling Koh, Frederick Koh, Kuok Chung Lee, Kai Yin Lee, Sean Lee, Wei Qi Leong, Su Ann Lui, Prajwala Prakash, Jan Grosek, Gregor Norcic, Ales Tomazic, Nicolas Fitchat, Robert Jaich, Devorah Wineberg, Modise Zacharia Koto, Daniella Baiocchi, Damian Clarke, Christina Johanna Steenkamp, Sharon Bannister, Adam Boutall, Galya Chinnery, Anna Coccia, Angela Dell, Parveen Karjiker, Christo Kloppers, Nicholas Loxton, Tumi Mabogoane, Francois Malherbe, Eugenio Panieri, Shreya Rayamajhi, Tirsa van Wyngaard, Claire Warden, T E Madiba, Nivashen Pillay, Savannah Brooks, Charlise Kruger, Lisa Hannah Van Der Merwe, Ferhana Gool, Maahir Kariem, Heather Bougard, Nazmie Kariem, Fazlin Noor, Reantha Pillay, Leandi Steynfaardt, Lucía González González, José Miguel Marín Santos, Paula Martín-Borregón, Javier Martínez Caballero, Cristina Nevado García, Pastora Rodriguez Fraga, Gonzalo De Castro Parga, Maria Pilar Fernández Veiga, Lucía Garrido López, Hugo Infante Pino, Irene Lages Cal, Marta López Otero, Manuel Nogueira Sixto, Marta Paniagua García Señorans, Laura Rodríguez Fernández, Alejandro Ruano Poblador, Erika Rufo Crespo, Raquel Sanchez-Santos, Vincenzo Vigorita, Ester Alonso Batanero, Dorisme Asnel, Isabel Cifrian Canales, Elisa Contreras Saiz, Irene De Santiago Alvarez, Tamara Díaz Vico, Sebastian Fernandez Arias, Daniel Fernández Martínez, Carmen García Bernardo, Luis Joaquín García Flórez, Carmen Garcia Gutierrez, Manuel García Munar, Carlos Alberto Márquez Zorrilla Molina, Marta Merayo, José Luis Michi Campos, Maria Moreno Gijon, Jorge L. Otero-Diez, Jose Luis Rodicio Miravalles, Lorena Solar-Garcia, Aida Suárez Sánchez, Nuria Truan, Cristina Alejandre Villalobos, Yurena Caballero Díaz, Marta Jimenez, Dacil Montesdeoca, Antonio Navarro-Sánchez, Victor Vega, Juan Beltrán de Heredia, Zahira Gómez, Carlos Jezieniecki, Ana Patricia Legido Morán, Mario Montes-Manrique, Mario Rodriguez-Lopez, María Ruiz Soriano, Jeancarlos Trujillo Díaz, Andrea Vazquez Fernandez, Nuria Argudo, Miguel Pera, Laia Torrent Jansà, Melody García Domínguez, Ignacio Goded, Marta Roldón Golet, Issa Talal El-Abur, Alejandra Utrilla Fornals, Vanesa Zambrana Campos, Maria Del Mar Aguilar Martinez, Marina Bosch, Luis García-Catalá, Luis Sánchez-Guillén, Eva Artigau, Nuria Gomez Romeu, David Julià Bergkvist, Beatriz Espina Perez, Olga Morató, Carles Olona, Beatriz Diéguez, Alexander Forero-Torres, Manuel Losada, Segundo Gomez-Abril, Paula Gonzálvez, Rosario Martinez, Sergio Navarro Martínez, Carmen Payá-Llorente, Álvaro Pérez Rubio, Sandra Santarrufina Martinez, Juan Carlos Sebastián Tomás, Ramon Trullenque Juan, Alberto Gegúndez Simón, Paloma Maté, Maria Isabel Prieto-Nieto, Ines Rubio-Perez, Aitor Urbieta, Marina Vicario Bravo, David Abelló, Matteo Frasson, Alvaro Garcia-Granero, Alfredo Abad Gurumeta, Ane Abad-Motos, Elena Lucena-de Pablo, Beatriz Nozal, Javier Ripollés-Melchor, Rut Salvachúa, Esther Ferrero, Luis Garcia-Sancho Tellez, Antonio L. Picardo, Jose Alberto Rojo López, Laura Patricia Zorrilla Matilla, Carmen Cagigas Fernandez, Sonia Castanedo Bezanilla, José Estevez Tesouro, Maria Jose Fernandez-Diaz, Juan García Cardo, Marcos Gomez Ruiz, Erik Gonzalez-Tolaretxipi, Jaime Jimeno Fraile, Cristobal Poch, Montserrat Rodriguez-Aguirre, Noemí Troche Pesqueira, Maria Soledad Trugeda-Carrera, Javier de la Torre, Ruth Blanco-Colino, Eloy Espin-Basany, Martin Espinosa-Bravo, Clara Morales Comas, Eduardo Reyes Afonso, Joaquín Rivero Déniz, Christian Siso Raber, Mireia Verdaguer Tremolosa, Pramodh Chandrasinghe, Sumudu Kumarage, Nimeshi Wijekoon Arachchilage, Ahmed Abdalla Ahmed Elkamel, Mohammed A. Adam, Nina Blomme, Anders Thorell, Fredrik Wogensen, Andreas Älgå, Dhirar Ansarei, Fuat Celebioglu, Göran Heinius, Linda Nigard, Emil Pieniowski, Sandra Ahlqvist, Ida Björklund, Andreas Frånberg, Martina Håkansson, Karin Adamo, Oskar Franklin, Malin Sund, Rebecca Wiberg, Yvette Andersson, Abbas Chabok, Maziar Nikberg, Alexander Kugelberg, Claudia Canonica, Dimitrios Christoforidis, Fabrizio Fasolini, Paolo Gaffuri, Mauro Giuliani, Francesco Meani, Sotirios Georgios Popeskou, Silvia Pozza, Wiebke Wandschneider, Lorenz Peterer, Lukas Werner Widmer, Bernd Zimmermann, Panagiotis Bakoleas, Iris Chanousi, Lydia Charalampidou, Lukasz Filip Grochola, Franziska Heid, Sotirios Ntaoulas, Michail Outos, Georgios Peros, Hanna Podolska-Skoczek, Katharina Beate Reinisch, Christian Zielasek, Nicolas Demartines, Jérôme Gilgien, Amaniel Kefleyesus, Pénélope St-Amour, Arnaud Toussaint, Maryam Alhimyar, Bayan Alsaid, Amr Alyafi, Ahmad Alkhaledi, Basel Kouz, Ahmad Omarain, Yusra Al-Sabbagh, Haya Alkhatib, Samer Sara, Ahmad Alhaj, Aghyad Danial, Lama Kadoura, Sarah Maa Albared, Yamen Monawar, Louei Nahas, Barook Abd, Ahmad Saad, Habib Wakkaf, Hatem Bouzaiene, Montassar Ghalleb, Elif Akaydin, Ata Cem Akbaba, Onur Atakul, Ege Baltaci, Sevval Besli, Gökçen Burgu, Ulukan Cenal, Cansu de Muijnck, Hasan Can Demirkaya, Alper Dogruoz, Zeynep Ipek Gezer, Yasemin Gündogdu, Merve Kara, Hasan Kürsad Korkmaz, Gökalp Kagan Kurtoglu, Volkan Ozben, Berk Baris Ozmen, Ahmet Murat Pektas, Eda Kübra Sel, Nilüfer Yenidünya, Fuat Baris Bengur, Berke Mustafa Oral, Tahir Koray Yozgatli, Seymur Abdullayev, Mehmet Emin Gunes, Nuri Alper Sahbaz, Tuba Banaz, Kübra Kargici, Omer Faruk Kuyumcu, Erkan Yanikoglu, Merve Yesilsancak, Duygu Yilmaz, Melik Kagan Aktas, Ahmet Rencuzogullari, Arda Isik, Sezai Leventoglu, Ali Yalçinkaya, Osman Yüksel, Mustafa U Kalayci, Yasin Kara, Inanc Samil Sarici, Alp Akin, Gökçe nur Alemdag, Ekin Arslan, Bahadir Emre Baki, Muhammed Selim Bodur, Adnan Calik, Bahar Candas Altinbas, Irem Cihanyurdu, Oguz Erkul, Burak Gül, Ali Guner, Beyza Köse, Anil Semiz, Sule Sevim, Serkan Tayar, Kadir Tomas, Ozan yavuz Tüfek, Serdar Türkyilmaz, Mehmet Ulusahin, Arif Usta, Reyyan Yildirim, Sertaç Ata Güler, Ozan Can Tatar, Ecenur Varol, Busenur Kirimtay, Muhammed Uysal, Alp Yildiz, Emin Kose, Ahmet Burak Ciftci, Elif Çolak, Huseyin Eraslan, Gultekin Ozan Kucuk, Kürsat Yemez, Herman Lule, Mumbere Bienfait, Emmanuel Bua, Noella Okalany, Maksym Basarab, Oleksii Bielosludtsev, Kateryna Kolhanova, Kateryna Perepelytsia, Kateryna Romanukha, Dmytro Savenkov, Stanislav Siryi, Maksym Tereshchenko, Nezamai Viacheslav, Anton Volovetskyi, Andrey Kebkalo, Yegor Tryliskyy, Volodimir Tyselskiy, Eilidh Bruce, Bing Lun Chow, Emma Iddles, Sarah McGuckin, Nicola Newall, George Ramsay, Parivrudh Sharma, Caitlin Stewart, Jeremy Wong, Abdul Badran, Michael Bath, Fanny Belais, Eman Butt, Kaustuv Joshi, Milan Kapur, Mike Shaw, Adam Townson, Christopher Yee Khang Williams, Timothy Gray, Robert Greig, Mansoor Husain, Elspeth Murray, Ahmed Mustafa, Ashar Asif, Arya Gokul, Max Shah, Mabel Temisanren Akitikori, Alexandros Charalabopoulos, Sophie Davidson, Sinead McNally, Shamil Rupani, Fatema Juma, Sarah Catherine Mills, Laura Muirhead, Kate Sellars, Una Walsh, Oliver Warren, Alice Chambers, Richard Hunt, Stephen Boyce, Hannah Cornwall, Isabel Tol, Eleftherios Orestis Argyriou, Nicola Eardley, Meical Povey, Joanna M S Aithie, Ahmer Irfan, Mari-Claire McGuigan, Robert Starr, Craig Russell Warren, Jess Archibald, Georgia Kirby, Ivan Kisyov, Chun Kheng Khoo, Rachel Lee, Dana Photiou, Rowan Davis, Uday Prasad, P Zichu Yang, Jonathan Bird, Edmund Leung, Virginia Summerour, Chelise Currow, Jianshen Kiam, Gerald Jack Soon Tan, Anitha Muthusami, Ibifunke Pegba-Otemolu, Tomas Urbonas, Joseph Nunoo-Mensah, Edgaras Smolskas, Alex Boddy, Gianpiero Gravante, David Hunter, David Andrew, Amanda Koh, Amari Thompson, Lawrence Adams, Hollie A Clements, Kasun De Silva, Ogbonnia Ekpete, Seraj Haque, Scott Henderson, Bilal Ibrahim, Thummini Jayasinghe, Jennifer Livie, Keir Mailley, Gopikrishnan Nair, Daniel Tan, Caitlin Baggaley, Aleksander Dawidziuk, Bartosz Szyszka, Charlotte Barter, Nirav Gandhi, Karen Hassell, Samantha Hitchin, Jennett Kelsall, Eva Nagy, Ashrafun Nessa, Lisa Whisker, Fady Yanni, Mahmoud Ali, Deeksha Arora, Sunanda Hediwattege, Navam Kumarasinghe, Munir Rathore, Athula Tennakoon, Syed Mustafa Ali Ahmad, Oreoluwa Bajomo, Fahema Nadira, Valerio Celentano, Ewen Griffiths, Rama Santhosh Karri, Jason Kei Chak Mak, Michelle Pipe, Muhammad Iqbal Bhatti, Mohamed Rabie, Connor Boyle, David Hamilton, Aishath Mihuna, James Chean Khun Ng, Gary Nicholson, Agata Oliwa, Robert Pearson, Anna Rose, Shun Qi Yong, Catherine Boereboom, Michael Hanna, Catherine Walter, Thomas Samuel Greensmith, Rachel Mitchell, Eimear Monaghan, James Crawford, Susan Moug, James Blackwell, Hannah Boyd-Carson, Philip Herrod, Omar Al-Allaf, Miriam Beattie, Cameron Bullock, Shivang Burman, Gemma Clark, Nicolas Flamey, Oliver Flannery, Alexander Harding, Ben Kodiatt, Samuel Lawday, Shivani Mahapatra, Navin Mukundu Nagesh, Michael Ng, Dupinderjit Rye, Andrel Yoong, Laura Clark, Chris Deans, Monisha Edirisooriya, Emma Victoria Carrington, Tsz Lun Ernest Wong, Baasil Yusuf, Carla Chamberlain, Kathryn Duke, Elizabeth Kmiotek, Azel Botes, Natalie Condie, Timothy Schrire, Reena Shah, Iolo Thomas-Jones, Charlotte Yates, Natasha Anthony, Edward Matthews, Kapil Sahnan, James Tankel, Sally Tucker, Jasmine Winter Beatty, Paul Ziprin, William Duggan, Anastasia Kantartzi, Shruthi Sridhar, Rachel Alys Khaw, Prakhar Srivastava, Charlotte Underwood, Homero Alves do Canto Brum, Sharat Chopra, Laura Davis, Rebecca Hughes, Joshua Tulley, Justin Alberts, Thomas Athisayaraj, Mojolaoluwa Olugbemi, Kasim Ahmad, Claudia Chan, Gavin Chapman, Hannah Fleming, Benjamin Fox, Julia Grewar, Kate Hulse, Duncan Rutherford, Mackay Sinead, Scott Smith, Doug Speake, Peter G Vaughan-Shaw, Natasha Christodoulides, Simrit 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A., Abu shua'ib R., Abu Zainah B., AbuSirrees M., Babaa B., Barhoush O., Belal qadomi A., Daraghmeh L., Haji R., Khatatbeh A., Khatib L., Qarariah S., Quzmar Y., Safadi K., Salameh R., Hassan M., Herzallah S., Massad L., Nazzal A., Nazzal R., Escobar D., Machain V G.M., Rodriguez Gonzalez A., Chachaima Mar J.E., Chinchihualpa Paredes N.O., Cuba V., Lopez W., Niquen Jimenez M.M., Sanchez Bartra N.A., Sapallanay Ojeda O., Sequeiros D., Toscano Pacheco A., Vergara M., Abarca S., Alcorta R., Borda-Luque G., Eusebio Zegarra I.E., Lujan Lopez C., Marrufo M., Mogrovejo C., Nomura A., Rodriguez Angeles Y., Vidal Meza M.R., Zavala G., Castillo Arrascue J.N., Hidrogo Cabrera J.C., Larrea vera J.J.M., Osorio M., Ylatoma Diaz E.A., Fontanilla M.A., Fuentes J.R., Salazar A.L., Dominguez G., Lopez M.P., Macalindong S., Onglao M.A., Ramirez A., Sacdalan M.D., Tampo M.M., Uy G.L., Mangahas J., Yabut K., Canete J.P., Cansana B.E., Castro E.J., Lipana M.K., Roxas M.F., Zara V.J., Chrol M., Franczak P., 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Adam M., Blomme N., Thorell A., Wogensen F., Alga A., Ansarei D., Celebioglu F., Heinius G., Nigard L., Pieniowski E., Ahlqvist S., Bjorklund I., Franberg A., Hakansson M., Adamo K., Franklin O., Sund M., Wiberg R., Andersson Y., Chabok A., Nikberg M., Kugelberg A., Canonica C., Christoforidis D., Fasolini F., Gaffuri P., Giuliani M., Meani F., Popeskou S.G., Pozza S., Wandschneider W., Peterer L., Widmer L.W., Zimmermann B., Bakoleas P., Chanousi I., Charalampidou L., Grochola L.F., Heid F., Ntaoulas S., Outos M., Peros G., Podolska-Skoczek H., Reinisch K.B., Zielasek C., Demartines N., Gilgien J., Kefleyesus A., St-Amour P., Toussaint A., Alhimyar M., Alsaid B., Alyafi A., Alkhaledi A., Kouz B., Omarain A., Al-Sabbagh Y., Alkhatib H., Sara S., Alhaj A., Danial A., Kadoura L., Maa Albared S., Monawar Y., Nahas L., Abd B., Saad A., Wakkaf H., Bouzaiene H., Ghalleb M., Akaydin E., Akbaba A.C., Atakul O., Baltaci E., Besli S., Burgu G., Cenal U., de Muijnck C., Demirkaya H.C., Dogruoz A., Gezer Z.I., Gundogdu Y., Kara M., Korkmaz H.K., Kurtoglu G.K., Ozben V., Ozmen B.B., Pektas A.M., Sel E.K., Yenidunya N., Bengur F.B., Oral B.M., Yozgatli T.K., Abdullayev S., Gunes M.E., Sahbaz N.A., Banaz T., Kargici K., Kuyumcu O.F., Yanikoglu E., Yesilsancak M., Yilmaz D., Aktas M.K., Rencuzogullari A., Isik A., Leventoglu S., Yalcinkaya A., Yuksel O., Kalayci M.U., Kara Y., Sarici I.S., Akin A., Alemdag G.N., Arslan E., Baki B.E., Bodur M.S., Calik A., Candas Altinbas B., Cihanyurdu I., Erkul O., Gul B., Guner A., Kose B., Semiz A., Sevim S., Tayar S., Tomas K., Tufek O.Y., Turkyilmaz S., Ulusahin M., Usta A., Yildirim R., Guler S.A., Tatar O.C., Varol E., Kirimtay B., Uysal M., Yildiz A., Kose E., Ciftci A.B., Colak E., Eraslan H., Kucuk G.O., Yemez K., Lule H., Bienfait M., Bua E., Okalany N., Basarab M., Bielosludtsev O., Kolhanova K., Perepelytsia K., Romanukha K., Savenkov D., Siryi S., Tereshchenko M., Viacheslav N., Volovetskyi A., Kebkalo A., Tryliskyy Y., Tyselskiy V., Bruce E., Chow B.L., Iddles E., McGuckin S., Newall N., Ramsay G., Sharma P., Stewart C., Wong J., Badran A., Bath M., Belais F., Butt E., Joshi K., Kapur M., Shaw M., Townson A., Williams C.Y.K., Gray T., Greig R., Husain M., Murray E., Mustafa A., Asif A., Gokul A., Shah M., Akitikori M.T., Charalabopoulos A., Davidson S., McNally S., Rupani S., Juma F., Mills S.C., Muirhead L., Sellars K., Walsh U., Warren O., Chambers A., Hunt R., Boyce S., Cornwall H., Tol I., Argyriou E.O., Eardley N., Povey M., Aithie J.M.S., Irfan A., McGuigan M.-C., Starr R., Warren C.R., Archibald J., Kirby G., Kisyov I., Khoo C.K., Lee R., Photiou D., Davis R., Prasad U., Yang P.Z., Bird J., Leung E., Summerour V., Currow C., Kiam J., Tan G.J.S., Muthusami A., Pegba-Otemolu I., Urbonas T., Nunoo-Mensah J., Smolskas E., Boddy A., Gravante G., Hunter D., Andrew D., Koh A., Thompson A., Adams L., Clements H.A., De Silva K., Ekpete O., Haque S., Henderson S., Ibrahim B., Jayasinghe T., Livie J., Mailley K., Nair G., Tan D., Baggaley C., Dawidziuk A., Szyszka B., Barter C., Gandhi N., Hassell K., Hitchin S., Kelsall J., Nagy E., Nessa A., Whisker L., Yanni F., Ali M., Arora D., Hediwattege S., Kumarasinghe N., Rathore M., Tennakoon A., Ali Ahmad S.M., Bajomo O., Nadira F., Celentano V., Griffiths E., Karri R.S., Mak J.K.C., Pipe M., Bhatti M.I., Rabie M., Boyle C., Hamilton D., Mihuna A., Ng J.C.K., Nicholson G., Oliwa A., Pearson R., Rose A., Yong S.Q., Boereboom C., Hanna M., Walter C., Greensmith T.S., Mitchell R., Monaghan E., Crawford J., Moug S., Blackwell J., Boyd-Carson H., Herrod P., Al-Allaf O., Beattie M., Bullock C., Burman S., Clark G., Flamey N., Flannery O., Harding A., Kodiatt B., Lawday S., Mahapatra S., Mukundu Nagesh N., Ng M., Rye D., Yoong A., Clark L., Deans C., Edirisooriya M., Carrington E.V., Wong T.L.E., Yusuf B., Chamberlain C., Duke K., Kmiotek E., Botes A., Condie N., Schrire T., Shah R., Thomas-Jones I., Yates C., Anthony N., Matthews E., Sahnan K., Tankel J., Tucker S., Winter Beatty J., Ziprin P., Duggan W., Kantartzi A., Sridhar S., Khaw R.A., Srivastava P., Underwood C., Alves do Canto Brum H., Chopra S., Davis L., Hughes R., Tulley J., Alberts J., Athisayaraj T., Olugbemi M., Ahmad K., Chan C., Chapman G., Fleming H., Fox B., Grewar J., Hulse K., Rutherford D., Sinead M., Speake D., Vaughan-Shaw P.G., Christodoulides N., Kudhail S., Welch M., Husaini S.M., Lambracos S., Anyanwu C., Suresh R., Thomas J.S., Gleeson E., Platoff R., Saif A., Enumah Z., Etchill E., Gabre-Kidan A., Bernstein M., Carrano F.M., Connors J., Lynn P., Melis M., Newman E., Foster D.S., Perrone K., Titan A., Ahmad S., Bafford A.C.M.D., Dal Molin M., Hanna N., Zafar S.N., Hemmila M., Napolitano L., Wong J.J., Chandler J., Wood L., Wren S., Ottesen T., You L., Yu K., Arcienega Yanez M.D.P., Ferreira Fernandes M., Gonzalez D., Cubas S., Gonzalez M.C., Zubiaurre V., Demolin R., Giroff N., Sciuto P., Campos M., Rodriguez Cantera G., Deepika G., Simuchimba E., Bulaya A., Chibuye C., Chirengendure B., Kabale M.-R., Kabongo K., Munthali J., Mweso O., Pikiti F., Otieno J., Lai L.T., Blackman B., Subramaniam S., Karim R., Kok N., Lee Y.D., Ali S., Sinha A., Corrigan R., Barnes N., Wong F., Dennis G., Jedamzik J., Phillips E., Piette W., Van hentenryck M., Koco H., Lawani S., Kassa M.W., Santos Bezerra T., Gribnev P., Dimitrov D., Krastev P., Oum S., Bonghaseh D.T., Al Farsi M., Alsharqawi N., Acevedo V., Castillo Barbosa A.C., Giron F., Leon Rodriguez J.P., Kucan D., Rosko D., Barsic N., Zupan D., Hegazi A., Truncikova V., Fryba V., Mohamed M., Nagi A., Rashad Temerik A., Elshawy M.E., Mahmoud M.I., Anwar M., Rageh T., Elmokadem A., Gaballa K., Teppo S., Pengerma P., Ballouhey Q., Bergeat D., Weyl A., Hain E., Gyedu A., Yenli E., Osei-Poku D., Rompou V.-A., Zoikas A., Gaitanidis A., Koukis G., Perivoliotis K., Tavlas P., Galanos-Demiris K., Zografos G., Karavokyros I., Xanthopoulou G., Iordanidou E., Ayau F., Garcia A., Damjan P., Wason D., B L A., Rangganata E., Kamath P., O'Connor D.B., Pinto M., Perrone F., Tropeano F.P., Troilo F., Bossi D., Scala D., Pulitano L., Carella M., Pietrabissa A., Gori A., Giraudo G., De Simone V., Russo A.A., Braccio B., Al-Taher R., Athamneh S., Parker A., Sawiee A., Kattia A., Tababa O., Shaeeb Z., Syminas V., Jurgaitis J., Damuleviciene G., Svagzdys S., Razafimanjato N.N.M., Chieng Loo L., Tiong I.C., Wan Muhmad W.F., Vijeyan H., Li Ying T., Grech G., Arrangoiz R., Jimenez Ley V.B., Arizpe D., Lagunes Lara E., Castro Lopez E.V., Eaazim J., Gordinou de Gouberville M., Bastiaenen V., Rottier S., Nahab F., Ji M.Y., Seyoji M., Nwachukwu C., Emeghara O., Muhammed S.E., Idowu A., Sowemimo O., Ogundoyin O., Akande O., Lott A., Nadeem M., Laghari A.A., Loya A., Mushtaq H., Abdullah M.T., Abuhilal B., Atawneh M., Hamdan H., Alhabil B., Srour A., Mousa I., Da Silva Medina L., Bartosiak K., Ferreira P., Francisco V., Lemos R., Frutuoso L., Fernandes S., Fonseca T., Pereira J., Rachadell J., Torre A., Madeira Martins F., Carvalho A.C., Rodrigues Ferreira J., Ribeiro da Silva B., Devesa H., Vieira A., Monica I., Amaro M., Sousa D., Reia M., Louro J., Martins A., Dominguez J., Santos I., Freitas Oliveira N.M., Pereira J.C., Silva-Vaz P., Freire L., Escrevente R., Negoita V.M., Shakhmatov D., Nezerwa Y., Radulovic R., Obery G., Viljoen F., Mendes T., Suarez A., Moncada E., Fernandez-Hevia M., Curtis Martinez C., Gil Garcia J.M., Gonzalez Zunzarren M., Idris T., Eklov K., Grahn O., Amin L., Blomqvist M., Ajani C., Kraus R., Seeger N., Willemin M., Rayya F., Ayash M., Msouti R., Kannas I., Abazid E., Esper A., Slim S., Kavcar A.S., Aytac E., Dural A.C., Ilker A., Eray I.C., Kurnaz E., Altiner S., Tepe M.D., Sahin C., Savli E., Innocent A., Babirye L., Diachenko A., Hordoskiy V., Curry H., Chau C.Y.C., Robertson H., Lennon H., Loi L., Kirkham E., McCann C., Watts D., Gurung B., Wilson M., Tribedi T., Garofalo E., Zahra B., MacDonald S., Daniels I., Ng N., Khosla S., Olivier J., Yue 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V., Ye, G., Zhang, G., Brooker, E., Feng, D., Lau, B., Ngai, C., Birks, S., Gyorki, D., Otero de Pablos, J., Abbosh, A., Gillespie, C., Mahmoud, A., Kwan, B., Lawson, J., Warwick, A., Bingham, J., Cockbain, A. J., Dudi-Venkata, N. N., Ellaby-Hall, J., Finlay, B., Humphries, E., Pisaniello, J., Pisaniello, M., Salih, S., Sammour, T., Abd Wahab, H. H., De Silva, A., Hayward, N., Iyer, K., Maddern, G., Prevost, G. A., Annapureddy, N., Settipalli, K. P., Yeo, J., Hempenstall, L., Pham, L., Purcell, S., Talavera, C., Vaska, A. I., Chaggar, G., Chrapko, P., Cocco, A., Coulter-Nile, S. M. C. J., Ctercteko, G., French, J., Gong, H., Gosselink, M., Jegathees, T., Jin, I., Kalachov, M., Kiefhaber, K., Lee, K., Luong, J., Phan, S., Pleass, H., Veale, K., Zeng, Z., Au, A., Debiasio, A., Deng, I., Myooran, J., Nair, A., Stewart, P., Stift, A., Unger, L. W., Wimmer, K., Ahmed, N., Hasan, S., Rahman, S., O'Shea, M., Padmore, G., Peters, A., Perduca, P., Pulcina, G., Tinton, N., Buxant, F., Dabin, E., Garofalo, G., Dossou, F., Gnangnon, F. H. R., Imorou Souaibou, Y., Motlaleselelo, P., Tlhomelang, O., Lima Buarque, I., Mendonca Ataide Gomes, G., Vieira Barros, A., Batashki, I., Damianov, N., Stoyanov, V., Dardanov, D., Maslyankov, S., Petkov, P., Todorov, G., Zhivkov, E., Akisheva, A., Castilla Moreno, M. A., Genov, G., Ilieva, I., Ivanov, T., Karamanliev, M., Khan, A., Mitkov, E., Yotsov, T., Atanasov, B., Belev, N., Slavchev, M., Nsengiyumva, C., Jones, E., Stock, S., Kyota, S., Brown, J., Mabanza, K. T., Nigo Samuel, L., Otuneme, C., Prosper, N., Umenze, F., Boutros, M., Caminsky, N., Dumitra, S., Garfinkle, R., Morency, D., Salama, E., Banks, A., Ferri, L., He, H., Katz, A., Liberman, A. 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A., Fadel, A., Habater, A., Hamdy, H., Hefni, A., Kamal, M., Mohamed Abobakr, N., Sayed, A., Shaker, N., Taha, E., Tharwat, H., Zakaria, O., Abdelmotaleb, I., Al-Dhufri, A., Al-Himyari, H. S., El sheikh, E., Eldmaty, A., Elkhalawy, A., M. Elkhashen, A., Magdy, K., Mostafa, S., Sadia, H. D., Saleh, M. M., Samir, D., Yahia Mohamed Ali, M., A. Nassar, M., Abdelhady, S., Abdelrazek, A., Abdelsalam, I., El-Sawy, A., Essam, E., Gadelkarim, M., Ghaly, K., Hassabalnaby, M., Masarani, R., Mohamed Shaaban, N., Sabry, A., Salem, M., Soliman, N. A., Zahran, D., Abou, El. soud M. R., Badr, E. T., Borham, H., Elmeslemany, N., Elsayed, M., Elsherif, F., Eslam, S., Gaber, G., Ibrahim, S., Kamh, Y., Mohamed, S. G., Morshedy, E., Omar, C., Salem Soliman, F., Abdelkawy, S., Abdelmohsen, N., Abdelshakour, M., Dahy, A., Gamal, N., Gamal, M., Hasan, A., Hetta, H., Mousa, N., Omar, M., Rabie, S., Saad, M., Saleh, B., Sayed Mohamed, M., Shawqi, M., Abdelhady Mousa, H., Alnoury, M., Elbealawy, M., Elshafey, A., Essam Ibrahim El Desouki Muhammad Ahmed, M., Ghonaim, M., Hgag, F., Ibrahim, M., Morsy, M., Reda Loaloa, M., Refaat, A., Samir, H., Shahien, F., Sobhy, M., Sroor, F., Abdellatif, E., Adel, M., Afifi, A. A., Afifi, E., Antaky, M., Dawoud, A., El Zoghby, N., El-remaily, A., Elzanfaly, A. A., Gadallah, A., Gamal, F. A., Hashem, O., Medhat Youssef, S., Muhammad Attyah, A., Munir, M., Shazly, O., Wilson, K., Adel, S., Ali, A., Eid, E., Elhelow, E., Elmahdy, M., Elshatby, B., Hossam el-din Zakaria, A., Hossny, A., Ibrahim, E., M. 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I., Veiga, D., Azevedo, J., Cardoso Louro, H., Leite, M., Bairos Menezes, M., Gama, B., Brito, D., Cruz Martins, M. C., Graca e Magalhaes, A., Longras, A. C., Lourenco, R., Matos, D., Castro, L., Policarpo, F., Romano, J., Monteiro, C., Pinto, D., Duarte, M., Fortuna Martins, S., Oliveira, M., Galvao, D., Martins, L., Silva, A., Taranu, V., Vieira, B., Neves, J., Oliveira, S., Ribeiro, H., Cinza, M., Felix, R., Machado, A., Oliveira, J., Patricio, J., Pedroso de Lima, R., Pereira, M., Rocha Melo, M., Velez, C., Abreu da Silva, A., Claro, M., Costa Santos, D., Ferreira, A., Capote, H., Rosado, D., Tare, F., Nogueira, O., Angelo, M., Baiao, J. M., Guimaraes, A., Marques, J., Nico Albano, M., Silva, M., Valente da Costa, A., Vieira Caroco, T., Almeida Braga, S., Capunge, I., Fragoso, M., Guimaraes, J., Pinto, B., Ribeiro, J., Angel, M., Fialho, G., Guerrero, M., Campos Costa, F., Cardoso, D., Cardoso, V., Alves, M., Estalagem, I., Louro, T., Marques, C., Martelo, R., Morgado, M., Canotilho, R., Correia, A. M., Martins, P., Peyroteo, M., Gomes, J., Monteiro, R., Romano, M., Alves, D. M., Peixoto, R., Quintela, C., Jervis, M. J., Melo, D., Pacheco, A., Paixao, V., Pedro, V., Pimenta, J., Pimenta de Castro, J., Rocha, A., Beuran, M., Ciubotaru, C., Diaconescu, B., Hostiuc, S., Negoi, I., Stoica, B., Na, N. A., Anokhin, E., Kuznetsov, G., Oganezov, G., Paramzin, F., Romanova, E., Rutkovskii, V., Shushval, M., Zabiyaka, M., Dzhumabaev, K., Ivanov, V., Mamedli, Z., Achkasov, S., Balkarov, A., Nabiev, E., Nagudov, M., Rybakov, E., Saifutdinova, K., Sushkov, O., Joseph, L., Ndayishimiye, I., Faustin, N., Mutabazi, A. 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Kadoura, Lama, Maa Albared, Sarah, Monawar, Yamen, Nahas, Louei, Abd, Barook, Saad, Ahmad, Wakkaf, Habib, Bouzaiene, Hatem, Ghalleb, Montassar, Akaydin, Elif, Akbaba, Ata Cem, Atakul, Onur, Baltaci, Ege, Besli, Sevval, Burgu, Gökçen, Cenal, Ulukan, de Muijnck, Cansu, Demirkaya, Hasan Can, Dogruoz, Alper, Gezer, Zeynep Ipek, Gündogdu, Yasemin, Kara, Merve, Korkmaz, Hasan Kürsad, Kurtoglu, Gökalp Kagan, Ozben, Volkan, Ozmen, Berk Baris, Pektas, Ahmet Murat, Sel, Eda Kübra, Yenidünya, Nilüfer, Bengur, Fuat Baris, Oral, Berke Mustafa, Yozgatli, Tahir Koray, Abdullayev, Seymur, Gunes, Mehmet Emin, Sahbaz, Nuri Alper, Banaz, Tuba, Kargici, Kübra, Kuyumcu, Omer Faruk, Yanikoglu, Erkan, Yesilsancak, Merve, Yilmaz, Duygu, Aktas, Melik Kagan, Rencuzogullari, Ahmet, Isik, Arda, Leventoglu, Sezai, Yalçinkaya, Ali, Yüksel, Osman, Kalayci, Mustafa U, Kara, Yasin, Sarici, Inanc Samil, Akin, Alp, Alemdag, Gökçe Nur, Arslan, Ekin, Baki, Bahadir Emre, Bodur, Muhammed Selim, Calik, Adnan, Candas 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Townson, Adam, Williams, Christopher Yee Khang, Gray, Timothy, Greig, Robert, Husain, Mansoor, Murray, Elspeth, Mustafa, Ahmed, Asif, Ashar, Gokul, Arya, Shah, Max, Akitikori, Mabel Temisanren, Charalabopoulos, Alexandros, Davidson, Sophie, McNally, Sinead, Rupani, Shamil, Juma, Fatema, Mills, Sarah Catherine, Muirhead, Laura, Sellars, Kate, Walsh, Una, Warren, Oliver, Chambers, Alice, Hunt, Richard, Boyce, Stephen, Cornwall, Hannah, Tol, Isabel, Argyriou, Eleftherios Orestis, Eardley, Nicola, Povey, Meical, Aithie, Joanna M S, Irfan, Ahmer, McGuigan, Mari-Claire, Starr, Robert, Warren, Craig Russell, Archibald, Jess, Kirby, Georgia, Kisyov, Ivan, Khoo, Chun Kheng, Lee, Rachel, Photiou, Dana, Davis, Rowan, Prasad, Uday, Yang, P Zichu, Bird, Jonathan, Leung, Edmund, Summerour, Virginia, Currow, Chelise, Kiam, Jianshen, Tan, Gerald Jack Soon, Muthusami, Anitha, Pegba-Otemolu, Ibifunke, Urbonas, Tomas, Nunoo-Mensah, Joseph, Smolskas, Edgaras, Boddy, Alex, Gravante, Gianpiero, Hunter, David, Andrew, David, Koh, Amanda, Thompson, Amari, Adams, Lawrence, Clements, Hollie A, De Silva, Kasun, Ekpete, Ogbonnia, Haque, Seraj, Henderson, Scott, Ibrahim, Bilal, Jayasinghe, Thummini, Livie, Jennifer, Mailley, Keir, Nair, Gopikrishnan, Tan, Daniel, Baggaley, Caitlin, Dawidziuk, Aleksander, Szyszka, Bartosz, Barter, Charlotte, Gandhi, Nirav, Hassell, Karen, Hitchin, Samantha, Kelsall, Jennett, Nagy, Eva, Nessa, Ashrafun, Whisker, Lisa, Yanni, Fady, Ali, Mahmoud, Arora, Deeksha, Hediwattege, Sunanda, Kumarasinghe, Navam, Rathore, Munir, Tennakoon, Athula, Ali Ahmad, Syed Mustafa, Bajomo, Oreoluwa, Nadira, Fahema, Celentano, Valerio, Griffiths, Ewen, Karri, Rama Santhosh, Mak, Jason Kei Chak, Pipe, Michelle, Bhatti, Muhammad Iqbal, Rabie, Mohamed, Boyle, Connor, Hamilton, David, Mihuna, Aishath, Ng, James Chean Khun, Nicholson, Gary, Oliwa, Agata, Pearson, Robert, Rose, Anna, Yong, Shun Qi, Boereboom, Catherine, Hanna, Michael, Walter, Catherine, Greensmith, Thomas Samuel, Mitchell, Rachel, Monaghan, Eimear, Crawford, James, Moug, Susan, Blackwell, James, Boyd-Carson, Hannah, Herrod, Philip, Al-Allaf, Omar, Beattie, Miriam, Bullock, Cameron, Burman, Shivang, Clark, Gemma, Flamey, Nicolas, Flannery, Oliver, Harding, Alexander, Kodiatt, Ben, Lawday, Samuel, Mahapatra, Shivani, Mukundu Nagesh, Navin, Ng, Michael, Rye, Dupinderjit, Yoong, Andrel, Clark, Laura, Deans, Chris, Edirisooriya, Monisha, Carrington, Emma Victoria, Wong, Tsz Lun Ernest, Yusuf, Baasil, Chamberlain, Carla, Duke, Kathryn, Kmiotek, Elizabeth, Botes, Azel, Condie, Natalie, Schrire, Timothy, Shah, Reena, Thomas-Jones, Iolo, Yates, Charlotte, Anthony, Natasha, Matthews, Edward, Sahnan, Kapil, Tankel, James, Tucker, Sally, Winter Beatty, Jasmine, Ziprin, Paul, Duggan, William, Kantartzi, Anastasia, Sridhar, Shruthi, Khaw, Rachel Alys, Srivastava, Prakhar, Underwood, Charlotte, Alves do Canto Brum, Homero, Chopra, Sharat, Davis, Laura, Hughes, Rebecca, Tulley, Joshua, Alberts, Justin, Athisayaraj, Thomas, Olugbemi, Mojolaoluwa, Ahmad, Kasim, Chan, Claudia, Chapman, Gavin, Fleming, Hannah, Fox, Benjamin, Grewar, Julia, Hulse, Kate, Rutherford, Duncan, Sinead, Mackay, Smith, Scott, Speake, Doug, Vaughan-Shaw, Peter G, Christodoulides, Natasha, Kudhail, Simrit, Welch, Matthew, Husaini, Syed Muhibullah, Lambracos, Simon, Anyanwu, Chikamuche, Suresh, Rishi, Thomas, Jimmy Scott, Gleeson, Elizabeth, Platoff, Rebecca, Saif, Areeba, Enumah, Zachary, Etchill, Eric, Gabre-Kidan, Alodia, Bernstein, Mitchell, Carrano, Francesco Maria, Connors, Joseph, Lynn, Patricio, Melis, Marcovalerio, Newman, Elliot, Foster, Deshka S, Perrone, Kenneth, Titan, Ashley, Ahmad, Sarwat, Bafford, Andrea Chao M D, Dal Molin, Marco, Hanna, Nader, Zafar, Syed Nabeel, Hemmila, Mark, Napolitano, Lena, Wong, Jane J, Chandler, Julia, Wood, Lauren, Wren, Sherry, Ottesen, Taylor, You, Lucia, Yu, Kristin, Arciénega Yañez, María Del Pilar, Ferreira Fernandes, Martin, González, Daniel, Cubas, Santiago, González, María Catalina, Zubiaurre, Vanessa, Demolin, Rodrigo, Giroff, Nicolas, Sciuto, Pablo, Campos, Maite, Rodríguez Cantera, Gabriela, Deepika, Garg, Simuchimba, Elliot, Bulaya, Anadi, Chibuye, Chali, Chirengendure, Bright, Kabale, Mary-Rose, Kabongo, Kizito, Munthali, James, Mweso, Oliver, Pikiti, Francis, Otieno, James, Lai, Log Tung, Blackman, Brighid, Richards, Sophie, Subramaniam, Suren, Karim, Rafid, Kok, Nathan, Lee, Yanni Dion, Ali, Shabina, Sinha, Aanjaneya, Corrigan, Robert, Barnes, Nicole, Wong, Florence, Dennis, Grace, Jedamzik, Julia, Phillips, Emil, Piette, Wivine, Van Hentenryck, Marie, Koco, Houenoukpo, Lawani, Souliath, Kassa, Mamo Woldu, Santos Bezerra, Tainá, Gribnev, Petar, Dimitrov, Dobromir, Krastev, Panche, Oum, Sovannarith, Bonghaseh, Divine Tim, Al Farsi, Maryam, Alsharqawi, Nourah, Acevedo, Veronica, Castillo Barbosa, Andrea Carolina, Giron, Felipe, Leon Rodriguez, Jimmy Paul, Kucan, Darko, Rosko, Damir, Barsic, Neven, Župan, Domagoj, Hegazi, Amgad, Truncíková, Vendula, Fryba, Vladimir, Mohamed, Mostafa, Sultan, Ahmed, Nagi, Ahmed, Rashad Temerik, Abdallah, Elshawy, Mohamed Elemam, Mahmoud, Moustafa Ibrahim, Omar, Shrouk, Anwar, Mohamed, Rageh, Tarek, Elmokadem, Aya, Gaballa, Khaled, Teppo, Sandra, Turunen, Antti, Pengermä, Pasi, Ballouhey, Quentin, Bergeat, Damien, Weyl, Ariane, Hain, Elisabeth, Gyedu, Adam, Yenli, Edwin, Osei-Poku, Dorcas, Rompou, Vaia-Aliki, Zoikas, Athanasios, Gaitanidis, Apostolos, Koukis, Georgios, Perivoliotis, Konstantinos, Tavlas, Panagiotis, Galanos-Demiris, Konstantinos, Zografos, George, Karavokyros, Ioannis, Xanthopoulou, Georgia, Iordanidou, Eirini, Ayau, Fernanda, Garcia, Allan, Damján, Pekli, Wason, Deepender, B L, Ashika, Rangganata, Ervandy, Kamath, Prerna, O'Connor, Donal B, Pinto, Margherita, Perrone, Fabrizio, Tropeano, Francesca Paola, Troilo, Francesca, Bossi, Daniela, Scala, Dario, Pulitanò, Lucrezia, Carella, Marcella, Pietrabissa, Andrea, Gori, Alice, Giraudo, Giorgio, De Simone, Veronica, Russo, Alfio Alessandro, Braccio, Bartolomeo, Al-Taher, Raed, Athamneh, Sarah, Parker, Andrea, Sawiee, Adnan, Kattia, Amina, Salem, Malik, Tababa, Osama, Shaeeb, Zuhour, Syminas, Vilius, Jurgaitis, Jonas, Damuleviciene, Gyte, Svagzdys, Saulius, Poskus, Tomas, Razafimanjato, Narindra Njarasoa Mihaja, Chieng Loo, Ling, Tiong, Ing Ching, Wan Muhmad, Wan Farahiyah, Vijeyan, Harinthiran, Li Ying, Teoh, Grech, Gabriella, Arrangoiz, Rodrigo, Jimenez Ley, Vania Brickelia, Arizpe, Daniel, Lagunes Lara, Elizabeth, Castro López, Elizabeth Victoria, Eaazim, Jose, Gordinou de Gouberville, Marije, Bastiaenen, Vivian, Rottier, Simone, Nahab, Fouad, Ji, Maria Yeonhee, Seyoji, Mohammed, Nwachukwu, Callistus, Emeghara, Okechukwu, Muhammed, Sayyid Egbunu, Idowu, Ayodeji, Sowemimo, Olamiposi, Ogundoyin, Olakayode, Akande, Oluwatosin, Lott, Alexander, Nadeem, Maliha, Laghari, Ahsan Ali, Loya, Asif, Mushtaq, Hassan, Abdullah, Muhammad Tariq, Abuhilal, Baseel, Atawneh, Mohammad, Hamdan, Hamdan, Alhabil, Belal, Srour, Abedelrahman, Mousa, Ibrahim, Da Silva Medina, Luis, Bartosiak, Katarzyna, Ferreira, Pedro, Francisco, Vítor, Lemos, Ricardo, Frutuoso, Luísa, Fernandes, Sara, Fonseca, Telma, Pereira, Jorge, Rachadell, Juan, Torre, Ana, Madeira Martins, Filipe, Carvalho, Ana Cristina, Rodrigues Ferreira, Joana, Ribeiro da Silva, Bruno, Devesa, Helena, Vieira, Ana, Mónica, Inês, Amaro, Margarida, Sousa, Diogo, Reia, Marta, Louro, João, Martins, Ana, Dominguez, Joaquina, Santos, Inês, Freitas Oliveira, Nuno Miguel, Pereira, José Carlos, Silva-Vaz, Pedro, Freire, Ligia, Escrevente, Ricardo, Negoita, Valentina Madalina, Shakhmatov, Dmitry, Nezerwa, Yves, Radulovic, Radosav, Obery, Gareth, Viljoen, Francois, Mendes, Tome, Suarez, Antonio, Moncada, Enrique, Fernandez-Hevia, Maria, Curtis Martínez, Carolina, Gil Garcia, Julia Maria, González Zunzarren, Mariana, Idris, Tarig, Eklöv, Karolina, Grahn, Oskar, Amin, Leila, Blomqvist, Malin, Ajani, Costanza, Kraus, Rebecca, Seeger, Nico, Willemin, Melissa, Rayya, Fadi, Ayash, Mohammad, Msouti, Raneem, Kannas, Israa, Abazid, Eias, Esper, Asil, Slim, Skander, Kavcar, Akil Serdar, Aytac, Erman, Dural, Ahmet Cem, Ilker, Ayse, Eray, Ismail Cem, Kurnaz, Eray, Altiner, Saygin, Tepe, Mustafa Deniz, Sahin, Can, Savli, Evrim, Innocent, Aryon, Babirye, Lilian, Diachenko, Andrii, Hordoskiy, Vladislav, Curry, Heather, Chau, Charlene Yat Che, Robertson, Harry, Mahmoud, Arin, Lennon, Hannah, Loi, Lynette, Kirkham, Emily, McCann, Cameron, Watts, Daniel, Gurung, Binay, Wilson, Michael, Tribedi, Thomas, Garofalo, Eleonora, Zahra, Baryab, MacDonald, Scott, Daniels, Ian, Ng, Nathan, Khosla, Shivun, Olivier, James, Yue, Sum Yu Pansy, Suresh, Gayathri, Wellington, Jack, Lorejo, Emmanuel, Mossaad, Mafdi, Crutcher, Madison, Alimi, Marjan, Baiu, Ioana, Abdou, Hossam, Conway, Alison, Peck, Connor, Perdomo Perez, Mauro Andres, Zulu, Stanley, Nakazwe, Mildred, Burger, Sule, Davies, Justine, Donaldson, Rachel, Ede, Chikwendu, Garden, O James, Lesetedi, Chiapo, Mabedi, Charles, Magill, Laura, Makinde Alakaloko, Felix, Makupe, Alex, Monahan, Mark, Mulira, Soloman, Muller, Elmi, Musowoyo, Jospeh, Olory-Togbe, Jean Léon, Roberts, Tracey, Smith, Martin, Tayler, Viki, Windsor, John, Yepez, Raul, Sundar, Sudha, Runigamugabo, Emmy, Verjee, Azmina, Chen, José, Daya, Leonid, El Aroussi, Nouhaila, Farina, Valeria, Gnintedeme Olivier, Tchianze, Gonzales Nacarino, Mauricio, Hammani, Aamr, Honjo, Sarah, Jacobs, Rebecca, Kimura, Hitomi, Nkoronko, Mugisha, Oscullo Yepez, Jasson Javier, Pin Hung, Wei, Raj, Ankit, Romani Pozo, Alina, Rommaneh, Muna, Sassamela Fabiano, Samuel Chimbioputo, Shiroma Gago, Camila Milagros, Srinivas, Abhishekh, Sung, Chia-Yen, Tai, Aswan, Valle Aranda, Yener Cristyell, Venturini, Sara, and Wilguens Lartigue, Jean
Subjects: Pediatrics, Colorectal cancer, IMPACT, Disease, Colorectal Neoplasm, 030204 cardiovascular system & hematology, Cancer, surgery, postoperative mortality, 0302 clinical medicine, Postoperative Complications, Global health, 030212 general & internal medicine, Prospective Studies, Prospective cohort study, General Medicine, DISEASES, Income, cancer surgery, Colorectal Neoplasms, Breast Neoplasm, Cohort study, Human, Adult, Developed Countrie, medicine.medical_specialty, Global surgery, General surgery, International multicentre study, Cancer surgery, Breast Neoplasms, Department of Error, NO, Developing Countrie, 03 medical and health sciences, Breast cancer, Stomach Neoplasms, medicine, Humans, Developing Countries, Neoplasm Staging, business.industry, Developed Countries, Odds ratio, CARE, medicine.disease, 3126 Surgery, anesthesiology, intensive care, radiology, Prospective Studie, Postoperative Complication, business
Abstract: 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. Background: 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. Methods: This was a multicentre, international prospective cohort study of consecutive adult patients undergoing surgery for primary breast, colorectal, or gastric cancer requiring a skin incision done under general or neuraxial anaesthesia. The primary outcome was death or major complication within 30 days of surgery. Multilevel logistic regression determined relationships within three-level nested models of patients within hospitals and countries. Hospital-level infrastructure effects were explored with three-way mediation analyses. This study was registered with ClinicalTrials.gov, NCT03471494. Findings: Between April 1, 2018, and Jan 31, 2019, we enrolled 15 958 patients from 428 hospitals in 82 countries (high income 9106 patients, 31 countries; upper-middle income 2721 patients, 23 countries; or lower-middle income 4131 patients, 28 countries). Patients in LMICs presented with more advanced disease compared with patients in high-income countries. 30-day mortality was higher for gastric cancer in low-income or lower-middle-income countries (adjusted odds ratio 3·72, 95% CI 1·70–8·16) and for colorectal cancer in low-income or lower-middle-income countries (4·59, 2·39–8·80) and upper-middle-income countries (2·06, 1·11–3·83). No difference in 30-day mortality was seen in breast cancer. The proportion of patients who died after a major complication was greatest in low-income or lower-middle-income countries (6·15, 3·26–11·59) and upper-middle-income countries (3·89, 2·08–7·29). Postoperative death after complications was partly explained by patient factors (60%) and partly by hospital or country (40%). The absence of consistently available postoperative care facilities was associated with seven to 10 more deaths per 100 major complications in LMICs. Cancer stage alone explained little of the early variation in mortality or postoperative complications. Interpretation: Higher levels of mortality after cancer surgery in LMICs was not fully explained by later presentation of disease. The capacity to rescue patients from surgical complications is a tangible opportunity for meaningful intervention. Early death after cancer surgery might be reduced by policies focusing on strengthening perioperative care systems to detect and intervene in common complications. Funding: National Institute for Health Research Global Health Research Unit.
Published: 2021
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38. Privacy-Aware Cloud Auditing for GDPR Compliance Verification in Online Healthcare

Author: Rajiv Rajan, Omer Rana, Madeline Carr, Gagangeet Singh Aujla, Masoud Barati, Kwabena Adu Duodu, and Jose Tomas Llanos
Subjects: Service (systems architecture), Information privacy, business.industry, Computer science, Cloud computing, Audit, Computer security, computer.software_genre, Computer Science Applications, Public-key cryptography, Control and Systems Engineering, General Data Protection Regulation, Data Protection Act 1998, Electrical and Electronic Engineering, business, computer, Information Systems, Private network
Abstract: Emerging multi-tenant cloud computing ecosystems allow multiple applications to share virtualised pool of computing and networking resources. As a result such ecosystems are becoming increasingly prone to data privacy concerns (personal data leakages and unauthorised access). While cloud computing providers support robust security and privacy mechanisms (e.g, public key cryptography, firewalls, virtual private networks, among many others), they lack mechanisms and frameworks to monitor, audit and verify these data privacy concerns. The emergence of data protection regulations around the world, such as General Data Protection Regulation (GDPR) in Europe and the Data Protection Act (DPA) in the UK, further emphasise the need to overcome these privacy limitations. A novel technique for monitoring, auditing and verifying the operations carried out on a users personal data in cloud computing ecosystems is proposed. Our research methodology leverages distributed ledger technologies (e.g., Blockchain, Smart Contracts) for developing an immutable recording technique, which transparently logs, monitors and verifies the operations carried out on user data. Using a healthcare pharmacy scenario and extensive real-world experiments, we validate the feasibility of the proposed technique. The proposed work handles a large pool of requests (> 13K) ensuring minimal latency (approx. 50-60 ms) and overheads for three different service packages varied with respect to the number of actors and operations).
Published: 2022
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39. Tracking GDPR compliance in cloud-based service delivery

Author: Omer Rana and Masoud Barati
Subjects: Information privacy, Information Systems and Management, Computer Networks and Communications, Service delivery framework, Process (engineering), business.industry, Computer science, Opcode, 020206 networking & telecommunications, Cloud computing, 02 engineering and technology, computer.software_genre, Computer security, Computer Science Applications, Hardware and Architecture, Virtual machine, General Data Protection Regulation, Software design pattern, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, computer
Abstract: The European General Data Protection Regulation (GDPR) has had a far-reaching impact on data privacy for cloud providers. GDPR influences access to, storage, and transmission of personal data, requiring these operations to be verified by cloud users through explicit consent prior to execution. GDPR rules implemented for such operations can be ambiguous and often open to interpretation, making manual verification a time consuming and error prone process for cloud providers. An encoding of GDPR rules is described, with each operation carried out using these rules recorded into a Blockchain for auditing purposes. This work shows how some GDPR rules can appear as opcodes in smart contracts to verify the operations of providers on user data in an automatic way. An abstract model is designed to demonstrate how cloud providers can access and deploy such contracts through a Blockchain-based virtual machine. A case study is used to demonstrate how this approach can be used in practice. The case study uses several design patterns and smart contracts to verify provider operations, including read, write, execution and transfer on user data. Validation is undertaken by deploying the smart contracts in a Blockchain test network to investigate the execution costs of GDPR compliance checking.
Published: 2022

40. The Potential of Magnetic Nanoparticles for Diagnosis and Treatment of Cancer Based on Body Magnetic Field and Organ-on-the-Chip

Author: Ali Alirezaie Alavijeh, Mohammad Barati, Hussein Abbasi Dehkordi, and Meisam Barati
Subjects: Drug, media_common.quotation_subject, Pharmaceutical Science, Abnormal cell, 02 engineering and technology, Review Article, 010402 general chemistry, 01 natural sciences, Metastasis, medicine, General Pharmacology, Toxicology and Pharmaceutics, media_common, Cancer, business.industry, lcsh:RM1-950, 021001 nanoscience & nanotechnology, medicine.disease, Body magnetic fields, 0104 chemical sciences, lcsh:Therapeutics. Pharmacology, Drug delivery, Magnetic nanoparticles, 0210 nano-technology, business, Biomedical engineering
Abstract: Cancer is an abnormal cell growth which tends to proliferate in an uncontrolled way and, in some cases, leads to metastasis. If cancer is left untreated, it can immediately cause death. The use of magnetic nanoparticles (MNPs) as a drug delivery system will enable drugs to target tissues and cell types precisely. This study describes usual strategies and consideration for the synthesis of MNPs and incorporates payload drug on MNPs. They have advantages such as visual targeting and delivering which will be discussed in this review. In addition, we considered body magnetic field to make drug delivery process more effective and safer by the application of MNPs and tumor-on-chip.
Published: 2019

41. A reliable tree-based data aggregation method in wireless sensor networks

Author: Hamid Barati and Elham Hasheminejad
Subjects: Binary tree, Computer Networks and Communications, business.industry, Network packet, Computer science, Reliability (computer networking), Retransmission, 020206 networking & telecommunications, 02 engineering and technology, Tree (data structure), Sensor node, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Hop (telecommunications), business, Wireless sensor network, Software, Computer network
Abstract: Aggregating the sensed data by nodes is a natural way to increase the network lifetime and reduce the number of bits sent and received by each sensor node. This paper presents a reliable tree-based data aggregation method. In the proposed method, sensor nodes are organized in the form of a binary tree. Then, aggregation requests are authenticated by a shared key, and if the request is acknowledged, the aggregation process begins. In the proposed method, using dynamic generator polynomial-size for cycle error detection code (CRC), the error generated along the path is detected hop by hop. In case of an error, the request for retransmission will be sent to the previous hop. Also, intermediate nodes apply certain aggregating functions like summation or averaging on the received packages, which cause a reduction in the amount of data transmission on the network. This method reduces the number of sent packets and the amount of energy consumed, so the network has a longer lifetime. Also, this method significantly increased reliability using the CRC code. The proposed method is compared with EESSDA, SDAACA, and LAG methods. The simulation results show that the proposed method has greater superiority over its comparative techniques, particularly on aspects such as energy consumption, network lifetime, and reliability.
Published: 2021
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42. SHSDA: secure hybrid structure data aggregation method in wireless sensor networks

Author: Hamid Barati and Maryam Naghibi
Subjects: General Computer Science, Computer science, Network packet, business.industry, 020206 networking & telecommunications, Throughput, 02 engineering and technology, Energy consumption, Encryption, Data aggregator, Base station, Tree structure, Node (computer science), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, Wireless sensor network, Computer network
Abstract: Wireless sensor networks (WSNs) are composed of several nodes, distributed in a geographical region. Limited energy of nodes is the main challenge of WSNs. Hence, it is required to apply different methods to consume less energy for calculations and communications. One method to reduce energy consumption in WSNs is to reduce the number of packets transmitted in the network. Data aggregation technique can cause a decrease in the number of transmitted packets. In fact, the technique combines related data and prevents sending additional packets. In this paper, a secure data aggregation method based on a combination of star and tree structures is suggested. Here, the network is geographically divided into four equal parts, and a stable star structure is formed in each part. In the secure hybrid structure data aggregation (SHSDA) method, each node is assigned a parent for transmitting data. To improve the security of data, the lightweight symmetric encryption is applied, and a key is distributed between each parent node and its children. The encrypted data is sent from leaf nodes to parent nodes, and gradually reaches the root through a star structure. Then the data is transmitted to the base station using the tree structure. The proposed method has been simulated using NS2. The results reveal that the average energy consumption and data delivery delay of SHSDA are less compared with that of conventional methods. Also, SHSDA method causes a rise in packet delivery rate, throughput, and flexibility.
Published: 2021
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43. The experiences of the community pharmacy team in supporting people with dementia and family carers with medication management during the COVID-19 pandemic

Author: Rosemary Hm. Lim, Barati Keshine Sridharan, and Reem Shalhoub
Subjects: media_common.quotation_subject, education, Pharmaceutical Science, Globe, Context (language use), Pharmacy, Article, 03 medical and health sciences, 0302 clinical medicine, Nursing, Health care, Pandemic, medicine, Dementia, 030212 general & internal medicine, Medication management, Duty, media_common, 030214 geriatrics, business.industry, COVID-19, medicine.disease, medicine.anatomical_structure, Thematic analysis, Community pharmacy, Psychology, business
Abstract: Background The novel coronavirus COVID-19 pandemic has changed the lives of people across the globe in significant and long-lasting ways. People with dementia were significantly and disproportionally affected at the height of the pandemic in England. Community pharmacies in England continued to operate during the pandemic but had to adjust the way they provided key healthcare services. The impact of these changes on the provision of medication services to people with dementia is underexplored. Objective To explore the experiences of the community pharmacy team in supporting people with dementia and their family carers with the management of medications during the COVID-19 pandemic. Methods An interpretivist/constructivist research paradigm was used; semi-structured one-to-one telephone interviews were conducted with any member of the community pharmacy team who had been involved in providing medication services to people with dementia in England before and during the COVID-19 pandemic. Recruitment took place between July and August 2020. Interviews were audio-recorded, transcribed verbatim and analysed using thematic analysis. Results Fourteen participants were interviewed with equal numbers of qualified pharmacists and non-pharmacist staff. Participants were in their role for an average of 4.5 years. The analysis of interviews generated three themes: 1) key interactions curtailed due to COVID-19 restrictions, 2) utilising resources within and outside of the pharmacy to provide tailored services for people with dementia, and 3) the interplay between professional duty and personal values underpinned decisions to provide medication services. Conclusions The study provided a unique and important first insights to our understanding of how the community pharmacy team in England supported people with dementia and their family carers during the COVID-19 pandemic. These insights provide opportunities for reflection by individuals, healthcare teams, healthcare organisations, policy makers and the public, in an international context, to enable long-term planning, investment and implementation of strategies beyond the current pandemic.
Published: 2021
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44. Effect of software-based therapeutic coloring on stress and anxiety in patients with multiple sclerosis: A q

Author: Mina Taghiabadi, Ehsan Baradaran Sirjani, Zohreh Sarchahi, Saeedeh Hajebi Khaniki, and Farzane Barati
Subjects: Oncology, medicine.medical_specialty, business.industry, Multiple sclerosis, medicine.disease, Software, Neurology, Internal medicine, Stress (linguistics), medicine, Anxiety, In patient, Neurology (clinical), medicine.symptom, business
Published: 2020
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45. Mystical experience in the men of the cave: a Lacanian reading of al-Kahf

Author: Pyeaam Abbasi and Tayebeh Barati
Subjects: Literature, geography, geography.geographical_feature_category, Cave, business.industry, Philosophy, Reading (process), media_common.quotation_subject, business, Mysticism, The Imaginary, media_common
Abstract: In his contribution to psychoanalysis, Jacques Lacan introduces three orders according to which every psychoanalytic phenomenon can be described. These three orders are the imaginary, the symbolic and the real. The imaginary is the order in which the subject thinks of everything as his/her own. For the subject there is no distinction between the other and the subject itself. In the symbolic order the subject comes to realise that there is a gap between him/her and the other. S/he, then, starts to feel a lack which for the rest of his/her life the subject tries to fill in. The real is considered as the most important order in which the subject tears away from the symbolic and tries to experience, once again, the unity it had in the imaginary order. It is in this phase that the subject experiences what is known as jouissance or the 'pleasure in pain'. The present study tries to look at the eighteenth chapter of the Holy Quran, al-Kahf (The Cave), in the light of psychoanalysis studies and Lacan's theories in order to analyse the mystical experience that the Men of the Cave go through to reach their final jouissance.
Published: 2020
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46. The Comparison of Lower Extremity Malalignment during HPF and TRD Approach at Forward Diving Straight

Author: Homa Naderifar, Mohamad Asghari Jafarabadi, Mahdieh Akoochakian, Amir Hossein Barati, Elham Shirzad Araghi, and Mohammad Hoseini
Subjects: musculoskeletal diseases, medicine.medical_specialty, Physical medicine and rehabilitation, medicine.anatomical_structure, Correlational study, business.industry, Medicine, Ankle, business, human activities
Abstract: The present study is a correlational study that was conducted to obtain complete and accurate information by examining “the relationship between diving score and dynamic malalignment of Hip, Knee and Ankle on a 1 m springboard by elite male divers.”
Published: 2020
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47. Associated Factors with Developmental Delay of under 5 Year Old Children in Hamadan, Iran: A Case-Control Study

Author: Zahra Moradi- Pourghavam, Akram Karimi-shahanjarini, Majid Barati, Amin Doosti-Irani, and Shala Nouri
Subjects: child development, Pediatrics, medicine.medical_specialty, Health (social science), business.industry, case-control study, lcsh:Public aspects of medicine, Case-control study, lcsh:RA1-1270, Health Informatics, Education, risk factors, Medicine, awareness, business, Hospital stay
Abstract: Aims: Early childhood development is one of the priority areas of social determinants of health. A wide range of factors influence a childchr('39')s development. This study aimed to investigate the factors associated with developmental delay in children under 5 years. Instrument & Methods: This study was a case-control study that conducted from April to August 2019 in Hamadan city. 462 children under 5 years and their mothers participated (231 children that have a developmental delay in the case group and 231 healthy children in the control group). The risk factors assessed were demographic characteristics, mothers’ awareness, and childhood developmental care. The data analysis were performed using Logistic Regression by Stata11 software and a significant level of 5% was considered. Findings: The results showed that there were statistically significant relation between the developmental delay with mothers’ age (OR=1.04, 95%CI:1.00-1.08), history of child hospitalization (OR=2.57, 95%CI:1.63-4.05), tobacco use by parents (OR=2.09, 95%CI:1.20-3.64), and mothers’ awareness (OR=0.44, 95%CI:-0.25-0.82). Conclusion: Mothers with children under 5 years need to be educated on various aspects of development and caregiving behaviors that protect their children from developmental delays, and the Identify these factors can help planners to reduce developmental delays and their effects.
Published: 2020
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48. A randomized controlled trial of pegylated interferon-alpha with tenofovir disoproxil fumarate for hepatitis B e antigen-negative chronic hepatitis B: A 48-week follow-up study

Author: Marjan Mokhtare, Zahra Bagheri-Hosseinabadi, Mansour Bahardoust, Arman Karimi Behnagh, Hossein Keyvani, Mitra Barati, and Shahram Agah
Subjects: 0301 basic medicine, Microbiology (medical), Hepatitis B virus, medicine.medical_specialty, Combination therapy, 030106 microbiology, Iran, medicine.disease_cause, Antiviral Agents, Gastroenterology, Group B, Polyethylene Glycols, law.invention, 03 medical and health sciences, Hepatitis B, Chronic, 0302 clinical medicine, Randomized controlled trial, law, Pegylated interferon, Internal medicine, PEG ratio, medicine, Humans, Pharmacology (medical), Hepatitis B e Antigens, 030212 general & internal medicine, Tenofovir, business.industry, Interferon-alpha, Viral Load, Clinical trial, Treatment Outcome, Infectious Diseases, HBeAg, DNA, Viral, business, Follow-Up Studies, medicine.drug
Abstract: Background Recent studies report incongruent finds regarding the addition of pegylated interferon -alpha (Peg- IFNα) to nucleos(t)ide analogues. This study was designed to compare the efficacy of Peg- IFNα and tenofovir disoproxil fumarate (TDF) combination therapy with each of the treatments separately. Methods In this open-label, randomized clinical trial, treatment-naive hepatitis B e antigen (HBeAg)-negative patients were randomly assigned to three treatment groups: Group A: Peg- IFNα (180 mcg/week) with TDF (300 mg/day); Group B: TDF (300 mg/day); and Group C: Peg- IFNα (180 mcg/week). The intervention spanned 48 weeks and patients were followed up every 12 weeks. The primary end-point was HBV DNA load Results Groups A, B and C each comprised of 22, 23 and 22 patients, respectively. The number of patients with HBV DNA suppression in group A was significantly higher compared to groups B and C (P = 0.034). No significant difference was observed in the normalization trends of serum ALT levels between the three groups (P = 0.082). At week 48, combination therapy was significantly more effective in suppressing HBV DNA concentration to below the level of detection than TDF monotherapy (OR = 2.1, 95%CI: 1.18–4.15; P = 0.034). Furthermore, a comparison between monotherapy arms revealed that both interventions had similar effects on the overall outcome (OR = 1.24, 95%CI: 1.02–5.8; P = 0.062). Conclusion A Peg- IFNα and TDF combination therapy resulted in improved virologic response and was safe in HBeAg negative patients. Monotherapy with Peg-IFNα or TDF procured limited benefits in comparison. Trial registration This study was registered in the Iranian Registry of Clinical Trials (IRCT20181113041635N1).
Published: 2020
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49. Value of photo assessment in late patch test readings—A multicenter study from six European patch test clinics

Author: Cecilia Svedman, Caterina Foti, Ana Giménez-Arnau, Evy Paulsen, Tove Agner, Farnam Barati Sedeh, Yasemin Topal Yüksel, and Richard Brans
Subjects: Adult, Male, Pediatrics, medicine.medical_specialty, Office Visits, contact dermatitis, Dermatology, Patch testing, 030207 dermatology & venereal diseases, 03 medical and health sciences, 0302 clinical medicine, True test, Photography, medicine, Humans, Immunology and Allergy, tele-dermatology, False Positive Reactions, Prospective Studies, 030212 general & internal medicine, patch testing, Delayed reaction, delayed reaction, business.industry, Patch test, Middle Aged, Patch Tests, late reaction, Multicenter study, Contact allergy, Dermatitis, Allergic Contact, contact allergy, Female, allergic contact dermatitis, business
Abstract: Background: It is recommended that patch-test readings include a day (D)7 reading. Substitution of the D7 reading with a photo may be a valid option. Objectives: To compare the sensitivity of digital photos at D7 to clinical readings, to assess the number of positive reactions appearing at D7 only (late reactions), and after D7 only (delayed reactions). Methods: Patients patch tested in six European clinics were instructed to forward photos of the patch test reactions to the respective clinics at D7 (before attending the clinic) and at D21. Only allergens in the baseline series or TRUE Test were included in the data analysis. Results: Two hundred ninety-three of 629 patients had a total of 599 positive reactions, with 6.3% occurring at D7 only. When substituting the D7 reading with a photo (90% submitted), 26.3% of late reactions were missed and nine false-positive reactions were found. Delayed reactions were detected in four patients at D21 (65.3% submitted). Conclusion: Our data show that if the D7 reading is not performed, 6.3% of positive reactions from the baseline series would be missed, and if substituting the D7 reading by digital photo, 26.3% late reactions would be missed. Delayed reactions seemed rare.
Published: 2020
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50. Effect of Sintering and Porosity Development on Direct Reduction of Manganese Ore Pellets

Author: Richard Elliott, Mansoor Barati, and Xi Ling
Subjects: Materials science, business.industry, digestive, oral, and skin physiology, Metallurgy, 0211 other engineering and technologies, General Engineering, Pellets, Sintering, chemistry.chemical_element, 02 engineering and technology, Manganese, 021001 nanoscience & nanotechnology, Steelmaking, Compressive strength, chemistry, Pellet, Ultimate tensile strength, General Materials Science, 0210 nano-technology, business, Porosity, 021102 mining & metallurgy
Abstract: High manganese steels with > 10% Mn offer a combination of high tensile strength and good ductility, two critical properties for automotive steels. Conventional routes to produce the Mn units used for steelmaking are energy- and capital-intensive. Therefore, a novel methane-based solid-state reduction process for manganese ore pellets is under investigation. It was found in preliminary tests that the reduction of ore pellets by methane was limited by gas transport to the pellet interior. To enhance the reducibility of Mn ore pellets, this study aimed at improving pellet porosity through adjustment of Mn ore powder particle size and the addition of limestone, which thermally decomposes to CaO and CO2. The change in compressive strength with an increase in pellet porosity was also studied. It was found that the increase in porosity as a result of limestone addition improves the reducibility of pellets and decreases the pellet strength. The effect of particle size on pellet reducibility was, however, more complicated because of the simultaneous change in the total surface area and sintering behavior of the particles.
Published: 2020
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