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1,476 results on '"Adnan, Ahmad"'

152. Plant Health Monitoring System Using Machine Learning

Author

Anand Kumar Dohare, Adnan Ahmad Khan, Anand Kumar Dohare, and Adnan Ahmad Khan

Abstract

Agriculture has transformed into more than just a means to feed growing populations; it's a crucial sector in India, engaging over 70% of the workforce and ensuring sustenance for a vast number of people. Plants play a pivotal role in ecosystems, supporting human life and wildlife by providing food. Preserving plant health is imperative, particularly in detecting diseases, as it directly impacts the quality and quantity of agricultural yields.This paper focuses on the technologies that are being used in plant health monitoring system which is being adopted nowadays in agriculture to make farming easy, for example image processing approaches for plant disease detection. Manually monitoring plant diseases is a difficult task. A manual plant disease monitoring system needs additional processing time and plant disease knowledge. As a result, a method for identifying plant diseases that is quick, automated, and accurate is required. As a result, image processing techniques are utilised to detect, process, and identify plant diseases since they are quick, automated, and accurate. Visualization is a traditional way of identifying diseases in plants, however it is not as effective in detecting diseases linked with plants. As a result, we can give a superior option, one that is both fast and precise, by employing image processing techniques that are more trustworthy than certain older methods.

Published
2024

157. Community engagement to increase vaccine uptake: Quasi-experimental evidence from Islamabad and Rawalpindi, Pakistan

Author

Mujahid Abdullah, Taimoor Ahmad, Twangar Kazmi, Faisal Sultan, Sabeen Afzal, Rana Muhammad Safdar, and Adnan Ahmad Khan

Subjects
Medicine, Science
Abstract

Developing countries have been facing difficulties in reaching out to low-income and underserved communities for COVID-19 vaccination coverage. The rapidity of vaccine development caused a mistrust among certain subgroups of the population, and hence innovative approaches were taken to reach out to such populations. Using a sample of 1760 respondents in five low-income, informal localities of Islamabad and Rawalpindi, Pakistan, we evaluated a set of interventions involving community engagement by addressing demand and access barriers. We used multi-level mixed effects models to estimate average treatment effects across treatment areas. We found that our interventions increased COVID-19 vaccine willingness in two treatment areas that are furthest from city centers by 7.6% and 6.6% respectively, while vaccine uptake increased in one of the treatment areas by 17.1%, compared to the control area. Our results suggest that personalized information campaigns such as community mobilization help to increase COVID-19 vaccine willingness. Increasing uptake however, requires improving access to the vaccination services. Both information and access may be different for various communities and therefore a “one-size-fits-all” approach may need to be better localized. Such underserved and marginalized communities are better served if vaccination efforts are contextualized.

Published
2022

158. Impact of Covid-19 on informal employment: A case study of women domestic workers in Khyber Pakhtunkhwa, Pakistan

Author

Adnan Ahmad Dogar, Ikram Shah, Tahir Mahmood, Noor Elahi, Arif Alam, and Urooj Gul Jadoon

Subjects
Medicine, Science
Abstract

COVID-19 indiscriminately impacted all the segments of the global society. Due to the unstructured job market, women in the informal sector were at high risk to experience the adverse effects of the pandemic. This paper aims to explore the impact of COVID-19 on women domestic workers and their families. Semi structured interviews conducted with fifty-four women domestic workers in three districts of Khyber Pakhtunkhwa, Pakistan were analyzed in five themes: disruption caused by lockdown, loss of livelihood, economic hardships, social support mechanism, and challenges faced during the pandemic. The study underlines that the pandemic left severe impacts on access to basic services, employment, food security at household level and pattern of expenditures. The plummeting economic activities led to sudden drops in earnings that forced families to sell their assets and incur debts. Respondents lamented over the social support system and considered it a necessary but not sufficient condition for uplifting the lives of the poor. Strains in marital relationships led to stress, anxiety and domestic violence among families. The utmost concern was the restoration of economic activities and urgent policy interventions to strengthen social safety measures for the vulnerable segments of society.

Published
2022

159. Impact of school closures and reopening on COVID-19 caseload in 6 cities of Pakistan: An Interrupted Time Series Analysis.

Author

Abdul Mueed, Taimoor Ahmad, Mujahid Abdullah, Faisal Sultan, and Adnan Ahmad Khan

Subjects
Public aspects of medicine, RA1-1270
Abstract

Schools were closed all over Pakistan on November 26, 2020 to reduce community transmission of COVID-19 and reopened between January 18 and February 1, 2021. However, these closures were associated with significant economic and social costs, prompting a review of effectiveness of school closures to reduce the spread of COVID-19 infections in a developing country like Pakistan. A single-group interrupted time series analysis (ITSA) was used to measure the impact of school closures, as well as reopening schools, on daily new COVID-19 cases in 6 major cities across Pakistan: Lahore, Karachi, Islamabad, Quetta, Peshawar, and Muzaffarabad. However, any benefits were contingent on continued closure of schools, as cases bounced back once schools reopened. School closures are associated with a clear and statistically significant reduction in COVID-19 cases by 0.07 to 0.63 cases per 100,000 population, while reopening schools is associated with a statistically significant increase. Lahore is an exception to the effect of school closures, but it too saw an increase in COVID-19 cases after schools reopened in early 2021. We show that closing schools was a viable policy option, especially before vaccines became available. However, its social and economic costs must also be considered.

Published
2022
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161. Analysis and Classification of Bone Fractures Using Machine Learning Techniques

Author

Noureen Ayesha, Zia M. Azam, Adnan Ahmad, and Hashim M.

Subjects
deep convolution neural network, alex net, classification, mura dataset, Environmental sciences, GE1-350
Abstract

Human bones are the hard organs that protect vital organs such as the heart, lungs, and other internal organs. Fractures of the bones are a prevalent issue among humans. Bone fractures may develop from an accident or another circumstance when there is great pressure on the bones. It may be difficult and time-consuming to determine the site of a fracture in a patient who is suffering discomfort. The manual examination of fractures during radiological interpretation is a time-consuming and error-prone process. This may result in erroneous detection, poor fracture healing, and an extensive procedure. So, this research proposed an effective approach to rectifying bone fractures with the inclusion of the latest technologies. The solution is proposed by employing a Deep learning model. Moreover, a novel concept of classification is also incorporated. Firstly; the MURA dataset was collected from Stanford. Secondly; The proposed model used techniques like DCNN (Deep Convolution Neural Network) and use Alex Net model. Bones are classified into fractured or non-fractured through a classification approach. The proposed model was created using Google Colab. The proposed model was trained by repeating several experiments. The performance was evaluated based on accuracy. The suggested model results were compared with baseline algorithms as well. Consequently, the findings of this work will be useful for the medical industry.

Published
2023
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162. Development of Sustainable Hydrophilic Azadirachta indica Loaded PVA Nanomembranes for Cosmetic Facemask Applications

Author

Rizwan Tahir, Hasan B. Albargi, Adnan Ahmad, Muhammad Bilal Qadir, Zubair Khaliq, Ahsan Nazir, Tanzeela Khalid, Misbah Batool, Salman Noshear Arshad, Mohammed Jalalah, Saeed A. Alsareii, and Farid A. Harraz

Subjects
electrospinning, PVA nanofiber, Azadirachta indica, cosmetic, facial mask, biocompatible, Chemical technology, TP1-1185, Chemical engineering, TP155-156
Abstract

Nanofiber-based facial masks have attracted the attention of modern cosmetic applications due to their controlled drug release, biocompatibility, and better efficiency. In this work, Azadirachta indica extract (AI) incorporated electrospun polyvinyl alcohol (PVA) nanofiber membrane was prepared to obtain a sustainable and hydrophilic facial mask. The electrospun AI incorporated PVA nanofiber membranes were characterized by scanning electron microscope, Ultraviolet-visible spectroscopy (UV-Vis) drug release, water absorption analysis, 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging, and antibacterial activity (qualitative and quantitative) at different PVA and AI concentrations. The optimized nanofiber of 376 ± 75 nm diameter was obtained at 8 wt/wt% PVA concentration and 100% AI extract. The AI nanoparticles of size range 50~250 nm in the extract were examined through a zeta sizer. The water absorption rate of ~660% and 17.24° water contact angle shows good hydrophilic nature and water absorbency of the nanofiber membrane. The UV-Vis also analyzed fast drug release of >70% in 5 min. The prepared membrane also exhibits 99.9% antibacterial activity against Staphylococcus aureus and has 79% antioxidant activity. Moreover, the membrane also had good mechanical properties (tensile strength 1.67 N, elongation 48%) and breathability (air permeability 15.24 mm/s). AI-incorporated nanofiber membrane can effectively be used for facial mask application.

Published
2023
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163. Homogeneous test-bed for cognitive radio

Author

Cheema, Adnan Ahmad

Subjects
621.384
Abstract

In the current frequency allocation scheme, the radio spectrum is found to be heavily underutilized in time, frequency and space dimensions or any of their combination. To improve spectrum utilization, the unused contiguous or non-contiguous portion of the radio spectrum (spectrum hole) can be accessed opportunistically using cognitive radio technology provided it is interference free to the local users of the network. To reliably detect the spectrum holes, which is necessary to limit the interference, cognitive radio is required to have high time and frequency resolutions to detect radio technologies (e.g. GSM 900, 2.4 GHz WLAN) at the packet level in the transmitted channel to avoid misinterpretation of occupancy states in time and frequency. In addition, having high sensitivity and instantaneous dynamic range can enable cognitive radio to detect weak received signals and their detection in the presence of strong received signals. Besides these requirements, a large sensing bandwidth can increase the chances to find spectrum holes in multiple radio technologies concurrently. A chirp channel sounder receiver has been developed according to the aforementioned requirements with a bandwidth of 750 MHz to provide reliable detection of received signals in two frequency ranges; 1) 250 MHz to 1 GHz, 2) 2.2 GHz to 2.95 GHz. The developed receiver is capable of finding spectrum holes having a duration of 204.8 μs and a transmitted channel bandwidth up to 200 kHz. To explore the spectrum holes in the space dimensions, six chirp channel sounder receivers have been developed to form a homogeneous test-bed, which can be deployed and controlled independently. To experimentally validate the ability of the built receiver, short term spectrum occupancy measurements have been conducted to monitor 2.4 GHz WLAN traffic from a real wireless network to quantify the spectrum utilization and duration of spectrum holes in the time domain. It has been found that the radio spectrum is underutilized and empirical distribution of the duration of the spectrum hole can be modelled using lognormal and gamma distributions for prediction using a two state continuous time semi-Markov model. To experimentally validate the receiver’s capabilities in both the supported frequency ranges, long term spectrum occupancy measurements with 750 MHz sensing bandwidth have been performed and received signals have been detected at frame or packet level to quantify spectrum utilization. It has been found that the radio spectrum is highly underutilized at the measurement location and exhibits significant amount of spectrum holes in both time and frequency. To experimentally validate the functionalities of the homogeneous test-bed, short term spectrum occupancy have been performed to monitor 2.4 GHz WLAN traffic from a real wireless network. The experiment has been conducted using multiple receivers to quantify the amount of cooperation individual or multiple cognitive radio users can provide for reliable detection of spectrum holes in time, frequency and space. It has been found that the space dimension influences strongly the statistics of cooperation parameters.

Published
2015

173. Nonwoven/Nanomembrane Composite Functional Sweat Pads

Author

Muhammad Bilal Qadir, Mohammed Jalalah, Muhammad Usman Shoukat, Adnan Ahmad, Zubair Khaliq, Ahsan Nazir, Muhammad Naveed Anjum, Abdul Rahman, Muhammad Qamar Khan, Rizwan Tahir, M. Faisal, Mabkhoot Alsaiari, Muhammad Irfan, Saeed A. Alsareii, and Farid A. Harraz

Subjects
antimicrobial, sweat pads, nonwoven web, super absorbent, electrospun nanomembranes, moisture management, Chemical technology, TP1-1185, Chemical engineering, TP155-156
Abstract

Sweat is a natural body excretion produced by skin glands, and the body cools itself by releasing salty sweat. Wetness in the underarms and feet for long durations causes itchiness and an unpleasant smell. Skin-friendly reusable sweat pads could be used to absorb sweat. Transportation of moisture and functionality is the current challenge that many researchers are working on. This study aims to develop a functional and breathable sweat pad with antimicrobial and quick drying performance. Three layered functional sweat pads (FSP) are prepared in which the inner layer is made of an optimized needle-punched coolmax/polypropylene nonwoven blend. This layer is then dipped in antimicrobial ZnO solution (2, 4, and 6 wt.%), and super absorbent polymer (SAP) is embedded, and this is called a functional nonwoven (FNW1) sheet. Electrospun nanofiber-based nanomembranes of polyamide-6 are optimized for bead-free fibers. They are used as a middle layer to enhance the pad’s functionality, and the third layer is again made of needle-punched optimized coolmax/polypropylene nonwoven sheets. A simple nonwoven-based sweat pad (SSP) is also prepared for comparison purposes. Nonwoven sheets are optimized based on better comfort properties, including air/water vapor permeability and moisture management (MMT). Nonwoven webs having a higher proportion of coolmax show better air permeability and moisture transfer from the inner to the outer layer. Antimicrobial activity of the functional nonwoven layer showed 8 mm of bacterial growth, but SSP and FSP showed only 6 mm of growth against Staphylococcus aureus. FSP showed superior comfort and antibacterial properties. This study could be a footstone toward highly functional sweat pads with remarkable comfort properties.

Published
2022
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174. A Quantitative Study of the Impact of Organizational Culture, Communication Management, and Clarity in Project Scope on Constructions’ Project Success with Moderating Role of Project Manager’s Competencies to Enhance Constructions Management Practices

Author

Muhammad Muneer, Nawar Khan, Muhammad Awais Hussain, Zhang Shuai, Adnan Ahmad Khan, Rashid Farooq, Muhammad Aamir Moawwez, and Muhammad Atiq Ur Rehman Tariq

Subjects
construction management, project success, scope clarity, organizational culture, moderators, communication management, Building construction, TH1-9745
Abstract

The construction industry is considered a driver of economic growth, especially in developing countries. However, the successful completion of construction projects is a major challenge, due to the lack of competencies. The current study explores the effects of communication management practices, clarity in the scope of the construction project, and organizational culture to enhance project success. A project manager is essential in running a project smoothly and according to the schedule. Keeping in view the predominant role of the project manager, this study aims to find the moderating impact of manager competencies to improve the construction project routine and generate successful projects. A questionnaire survey was conducted to collect the data and determine how these variables influence construction project progress. The current research results show an excellent association between a construction project’s success and the discussed independent variables. Additionally, it was found that a competent project manager can play a better role in preventing the uncomfortable influences of independent variables on the dependent variable. The obtained outcomes highlight the importance of adequately handling organizational culture, communication management, and clarity to achieve project success. These outcomes are helpful for the professionals working in the construction sector to raise the project success rate and enhance their construction management capabilities.

Published
2022
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175. Ginger Loaded Polyethylene Oxide Electrospun Nanomembrane: Rheological and Antimicrobial Attributes

Author

Anum Javaid, Mohammed Jalalah, Rimsha Safdar, Zubair Khaliq, Muhammad Bilal Qadir, Sumra Zulfiqar, Adnan Ahmad, Aamir Naseem Satti, Aiman Ali, M. Faisal, S. A. Alsareii, and Farid A. Harraz

Subjects
polyethylene oxide, ginger extract, antibacterial, dynamic light scattering, viscoelastic properties, Chemical technology, TP1-1185, Chemical engineering, TP155-156
Abstract

Synthetic antibiotics have captured the market in recent years, but the side effects of these products are life-threatening. In recent times, researchers have focused their research on natural-based products such as natural herbal oils, which are eco-friendly, biocompatible, biodegradable, and antibacterial. In this study, polyethylene oxide (PEO) and aqueous ginger extract (GE) were electrospun to produce novel antibacterial nanomembrane sheets as a function of PEO and GE concentrations. A GE average particle size of 91.16 nm was achieved with an extensive filtration process, inferring their incorporation in the PEO nanofibres. The presence of the GE was confirmed by Fourier transform infrared spectroscopy (FTIR) through peaks of phenol and aromatic groups. The viscoelastic properties of PEO/GE solutions were analysed in terms of PEO and GE concentrations. Increasing PEO and GE concentrations increased the solution’s viscosity. The dynamic viscosity of 3% was not changed with increasing shear rate, indicating Newtonian fluid behaviour. The dynamic viscosity of 4 and 5 wt% PEO/GE solutions containing 10% GE increased exponentially compared to 3 wt%. In addition, the shear thinning behaviour was observed over a frequency range of 0.05 to 100 rad/s. Scanning Electron Microscopy (SEM) analysis also specified an increase in the nanofibre’s diameter with increasing PEO concentration, while SEM images displayed smooth morphology with beadless nanofibres at different PEO/GE concentrations. In addition, PEO/GE nanomembranes inhibited the growth of Staphylococcus aureus, as presented by qualitative antibacterial results. The extent of PEO/GE nanomembrane’s antibacterial activity was further investigated by the agar dilution method, which inhibited the 98.79% Staphylococcus aureus population at 30% GE concentration.

Published
2022
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176. Electrospun Nanofiber/Textile Supported Composite Membranes with Improved Mechanical Performance for Biomedical Applications

Author

Mohammed Jalalah, Adnan Ahmad, Asad Saleem, Muhammad Bilal Qadir, Zubair Khaliq, Muhammad Qamar Khan, Ahsan Nazir, M. Faisal, Mabkhoot Alsaiari, Muhammad Irfan, Saeed A. Alsareii, and Farid A. Harraz

Subjects
PA nanofiber membrane, composite, nonwoven, woven, knitted, needleless electrospinning, Chemical technology, TP1-1185, Chemical engineering, TP155-156
Abstract

Textile-supported nanocomposite as a scaffold has been extensively used in the medical field, mainly to give support to weak or harmed tissues. However, there are some challenges in fabricating the nanofiber/textile composite, i.e., suitable porous structure with defined pore size, less skin contact area, biocompatibility, and availability of degradable materials. Herein, polyamide-6 (PA) nanofibers were synthesized using needleless electrospinning with the toothed wheel as a spinneret. The electrospinning process was optimized using different process and solution parameters. In the next phase, optimized PA nanofiber membranes of optimum fiber diameter with uniform distribution and thickness were used in making nanofiber membrane–textile composite. Different textile fabrics (woven, non-woven, knitted) were developed. The optimized nanofiber membranes were combined with non-woven, woven, and knitted fabrics to make fabric-supported nanocomposite. The nanofiber/fabric composites were compared with available market woven and knitted meshes for mechanical properties, morphology, structure, and chemical interaction analysis. It was found that the tear strength of the nanofiber/woven composite was three times higher than market woven mesh, and the nanofiber/knitted composite was 2.5 times higher than market knitted mesh. The developed composite structures with woven and knitted fabric exhibited improved bursting strength (613.1 and 751.1 Kpa), tensile strength (195.76 and 227.85 N), and puncture resistance (68.76 and 57.47 N), respectively, than market available meshes. All these properties showed that PA nanofibers/textile structures could be utilized as a composite with multifunctional properties.

Published
2022
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177. مقارنة تأثير كل من هيبوكلوريت الصوديوم والكلورهكسدين غلوكونات كمطهرات للأجهزة التعويضية على بعض خواص الراتنج الإكريلي حراري التماثر(دراسة مخبرية)

Author

Majd Salman and Mohammad Adnan Ahmad

Subjects
Medicine
Abstract

يهدف تطهير الأجهزة التعويضية الإكريلية إلى الحفاظ على البيئة الفموية سليمة، مما يقي من الإمراضيات الفطرية وغيرها، حيث أن الصحة الفموية مرتبطة بنظافة الأجهزة التعويضية. تهدف هذه الدراسة إلى مقارنة تأثير كل من محلول هيبوكلوريت الصوديوم 0.5% ومحلول كلورهكسدين غلوكونات 0.12%، والتي تغمر بها الأجهزة التعويضية، على تغير الوزن (زيادةً أو نقصاناً أي امتصاصاً أو انحلالاً) لعينات من الراتنج الإكريلي المصلب بالطريقة التقليدية، وذلك بالمقارنة مع الماء المقطر، لمدة ستة أشهر. تضمنت عينة الدراسة 30 عينة مستطيلة (4-2) سم من الإكريل الحراري التماثر ، سماكة 3مم. أظهرت نتائج التحليل الإحصائي أن اختلاف محلول النقع، سواء كان محلول كلورهكسيدين غلوكونات 0.12% أو محلول هيبوكلوريت الصوديوم 0.5% لا يختلف تأثيره على وزن مادة الإكريل حراري التماثر مقارنة مع الماء المقطر(الوسط الشاهد). ضمن حدود هذه الدراسة نستنتج أنه لا فرق في استخدام أحد محلولي التطهير كلورهكسيدين غلوكونات 0.12% أو محلول هيبوكلوريت الصوديوم 0.5%، على وزن الإكريل الحراري الذي تصنع منه قواعد الأجهزة المتحركة.

Published
2021

183. Natural deep eutectic liquid and ultrasound-assisted extraction of milk thistle phenolics and their hepatoprotective activities.

Author

Nasrullah, Nabiha, Akram, Sumia, Rashid, Ayoub, Adnan, Ahmad, and Mushtaq, Muhammad

Subjects
MILK thistle, PHENOLS, END of treatment, SOLVENT extraction, OXIDANT status, HIGH-fat diet
Abstract

Introduction: The present research describes the utilization of natural deep eutectic solvent in combination with ultrasound for the extraction of milk thistle polyphenols. The extracts obtained under different conditions were evaluated for their in vitro antioxidant activities and hepatoprotective activities in Albino mice (in vivo). Methods: The extraction parameters involving liquid-to-solid ratio (S/L), ethanol-to-natural deep eutectic solvent ratio (EtOH/DES), extraction time (t), and ultrasound treatment time were investigated and optimized to enhance the recovery of bioactives, their phenolic content, Trolox equivalent antioxidant capacity (TEAC), and radical scavenging capacity (RSC). Results and discussions: The extraction of milk thistle polyphenols using glucose/citric acid (1:1)-based natural deep eutectic liquid coupled with ultrasound for 1.0min under an S/L of 6.2, EtOH/DES 9, and extraction time of 120.8min offered 35.89 ± 2.29 g/100 g of crude extracts, which were three-fold higher than that by conventional solvent extraction (CSE). Each gram of milk thistle extracts thus obtained comprised 377.93 ± 6.17mg GAE of TPC and exhibited 298.70 ± 3.06 μmol TEAC and 93.16 ± 0.58 percent inhibition of DPPH free radicals. In addition, the administration of milk thistle extracts obtained as given above at 25 mg/Kg body weight in Albino mice significantly (p ≤ 0.05) improved the liver function parameters at the end of treatment (7 days). Conclusion: Overall, it was observed that NaDES in combination with medium-level ultrasound energy (700 watt) might work as a sustainable choice to enhance the recovery of bioactive phenolics from milk thistle powder without compromising their antioxidant and hepatoprotective potential. [ABSTRACT FROM AUTHOR]

Published
2024
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186. Contributors

Author

Abhishek Biswal, R., primary, Adem, Şevki, additional, Adnan, Ahmad, additional, Ahemad, Nafees, additional, Ahmed, Hammad, additional, Akram, Sumia, additional, Alafnan, Ahmed, additional, Anwar, Farooq, additional, Anwar, Sirajudheen, additional, Arshad, Laiba, additional, Artero, Nayara A., additional, Ashraf, Rizwan, additional, Aslam, Mehwish, additional, Atanacković Krstonošić, Milica, additional, Batool, Aima Iram, additional, Bhatti, Haq Nawaz, additional, Carvalho, Thacyana T., additional, Casagrande, Rubia, additional, Cassels, Bruce K., additional, Castro-Saavedra, Sebastián, additional, Chanioti, Sofia, additional, Coorey, Ranil, additional, Cvejić, Jelena, additional, Cvetanović, Aleksandra, additional, De, Baishakhi, additional, Devi, Savita, additional, Devu, Suparna, additional, Emidio, Nayara Braga, additional, Estévez-Sánchez, Karen Hariantty, additional, Fattori, Victor, additional, Ferraz, Camila R., additional, Franciosi, Anelise, additional, Fuentes-Barros, Gonzalo, additional, Ghani, Ma’Aruf Abd, additional, Gómez-Mejía, Esther, additional, Goswami, Tridib Kumar, additional, Hasany, Syeda Mariam, additional, Hussain, Ghulam, additional, Hussain, Norhayati, additional, Ihsan, Sidra, additional, Ishak, Izzreen, additional, Katsouli, Maria, additional, Lang, Gustavo Heinrich, additional, León-González, Mª Eugenia, additional, Lovegrove, Alison, additional, Madhumathi, Ramasamy, additional, Manchope, Marília F., additional, Meenambiga, Setti Sudharshan, additional, Meghwal, Murlidhar, additional, Mehmood, Tahir, additional, Meireles, M. Angela A., additional, Melini, Francesca, additional, Melini, Valentina, additional, Mikulić, Mira, additional, Mushtaq, Muhammad, additional, Nawaz, Javaria, additional, Ochoa-Velasco, Carlos Enrique, additional, de Oliveira, Maurício, additional, de Oliveira Raphaelli, Chirle, additional, Pazhamalai, Vivek, additional, Ping, Tan Chin, additional, Qadir, Rahman, additional, Rasquel-Oliveira, Fernanda S., additional, Rasul, Azhar, additional, Rehman, Muhammad Fayyaz ur, additional, Riaz, Ammara, additional, Rosales-Conrado, Noelia, additional, Ruiz-Espinosa, Héctor, additional, Ruiz-López, Irving Israel, additional, Sadiqa, Ayesha, additional, Sakthiselvan, Punniavan, additional, Saleem, Hammad, additional, Santana, Ádina L., additional, Sarfraz, Iqra, additional, Shafique, Asma, additional, Shahbazi, Yasser, additional, Shavisi, Nassim, additional, Singh, Himani, additional, Smiline Girija, A.S., additional, Suárez-Rozas, Cristian, additional, Tabassam, Qudsia, additional, Tabassum, Ayesha, additional, Tabassum, Sajida, additional, Tzia, Constantina, additional, Ucak, Ilknur, additional, Verri Jr, Waldiceu A., additional, Vicentini, Fabiana T.M.C., additional, Waheed, Ammara, additional, Zahid, Iqra, additional, and Zahoor, Muhammad Kashif, additional

Published
2021
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191. Simulation of snowmelt-runoff under climate change scenarios in a data-scarce mountain environment

Author

Adnan Ahmad Tahir, Samreen Abdul Hakeem, Tiesong Hu, Huma Hayat, and Muhammad Yasir

Subjects
upper indus basin (uib), shyok river basin, mod10a2, snowmelt runoff model (srm), climate change, Mathematical geography. Cartography, GA1-1776
Abstract

Pakistan is an agriculture-based economy and major proportion of irrigation water for its cultivated lands is abstracted from the Upper Indus Basin (UIB). UIB water supplies are mostly contributed from the high-altitude snow and glacier fields situated in the Hindukush–Karakoram–Himalayan ranges. Any change in the flows of these river catchments due to climate variability may result in the form of catastrophic events like floods and droughts and hence will adversely affect the economy of Pakistan. This study aims to simulate snowmelt runoff in a mountainous sub-catchment (Shyok River basin) of the UIB under climate change scenarios. Snowmelt Runoff Model (SRM) coupled with remotely sensed snow cover product (MOD10A2) is used to simulate the snowmelt runoff under current and future climate scenarios in the study area. The results indicate that (a) SRM has efficiently simulated the flow in Shyok River with average Nash–Sutcliff coefficient value (R2) of 0.8 (0.63–0.93) for all six years (2000–2006) of basin-wide and zone-wise simulations, (b) an increase of 10% (by 2050) and 20% (by 2075) in SCA will result in a flow rise of ∼11% and ∼20%, respectively, and (c) an increase of 1°C (by 2025), 2°C (by 2050), 3°C (by 2075) and 4°C (by 2100) in mean temperature will result in a flow rise of ∼26%, ∼54%, ∼81% and ∼118%, respectively. This study suggests that SRM equipped with remotely sensed snow cover data is an effective tool to estimate snowmelt runoff in high mountain data-scarce environments.

Published
2019
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193. Levels of patients’ satisfaction from physical therapy services offered at Rehman Medical Institute Peshawar; a cross sectional survey

Author

Syed Alamdar Hussain, Huma Balqias, Maria Naeem, Adnan Ahmad, Najeeb Ullah, Rida Shabbir, and Wassam Akbar Khan

Subjects
med risk patient satisfaction, patient satisfaction level, Medicine
Abstract

Introduction: Patients satisfaction is an important and commonly used an indicator for measuring the quality in health care. It affects clinical outcomes, patient retention, and medical malpractice claims. Patient satisfaction affects the timely, eficient, and patient-centered delivery of quality health care. The importance of patient satisfaction in quality health care has been reported but there is scarcity of quality research on patient satisfaction in the field of physical therapy especially in developing countries. This survey was designed to assess level of patients’ satisfaction level receiving physical therapy services at Rehman Medical Institute, Peshawar. Material & Methods: A total of 187 patients from three wards and physical therapy OPD participated in this survey. We used Med Risk instrument for measuring Patient Satisfaction (MRPS) questionnaire for assessing levels of satisfaction among these patients. The questionnaire was modified in order to make it applicable for all the areas including cardiac, musculoskeletal and neurological conditions for both in- and outpatient departments. Data was analyzed through SPSS version 20. Results: A total of 187 with less than half (45.5%) males and the remaining female population participated in this survey. High satisfaction level of patients receiving physical therapy services was witnessed amongst the patients who participated in this survey. Majority of the patients were from cardia ward due to specialized nature of the hospital which is famous for dealing conditions with cardiac conditions. The mean score for the patients’ satisfaction level was recorded to 4.68±0.63 which is higher than reported in other trials. Conclusion: Patient getting physical therapy services at both in- and outdoor facilities at Rehman Medical Institute have high level of satisfaction.

Published
2019
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194. Experimental and Computational Analysis of Newly Synthesized Benzotriazinone Sulfonamides as Alpha-Glucosidase Inhibitors

Author

Zunera Khalid, Maha Abdallah Alnuwaiser, Hafiz Adnan Ahmad, Syed Salman Shafqat, Munawar Ali Munawar, Kashif Kamran, Muhammad Mujtaba Abbas, M. A. Kalam, and Menna A. Ewida

Subjects
1,2,3-Benzotriazin-4(3H)-one, molecular docking studies, alpha-Glucosidase inhibitors, Organic chemistry, QD241-441
Abstract

Diabetes mellitus is a chronic metabolic disorder in which the pancreas secretes insulin but the body cells do not recognize it. As a result, carbohydrate metabolism causes hyperglycemia, which may be fatal for various organs. This disease is increasing day by day and it is prevalent among people of all ages, including young adults and children. Acarbose and miglitol are famous alpha-glucosidase inhibitors but they complicate patients with the problems of flatulence, pain, bloating, diarrhea, and loss of appetite. To overcome these challenges, it is crucial to discover new anti-diabetic drugs with minimal side effects. For this purpose, benzotriazinone sulfonamides were synthesized and their structures were characterized by FT-IR, 1H-NMR and 13C-NMR spectroscopy. In vitro alpha-glucosidase inhibition studies of all synthesized hybrids were conducted using the spectrophotometric method. The synthesized compounds revealed moderate-to-good inhibition activity; in particular, nitro derivatives 12e and 12f were found to be the most effective inhibitors against this enzyme, with IC50 values of 32.37 ± 0.15 µM and 37.75 ± 0.11 µM. In silico studies, including molecular docking as well as DFT analysis, also strengthened the experimental findings. Both leading compounds 12e and 12f showed strong hydrogen bonding interactions within the enzyme cavity. DFT studies also reinforced the strong binding interactions of these derivatives with biological molecules due to their lowest chemical hardness values and lowest orbital energy gap values.

Published
2022
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195. Sedimentary Facies Analysis of the Third Eocene Member of Shahejie Formation in the Bonan Sag of Bohai Bay Basin (China): Implications for Facies Heterogeneities in Sandstone Reservoirs

Author

Nadir Fawad, Taixun Liu, Daidu Fan, and Qazi Adnan Ahmad

Subjects
sedimentary facies, Bohai Bay Basin, well logs, seismic sedimentary evolution, Technology
Abstract

The middle sub-member (Es3z) within the third member (Es3) of the Eocene Shahejie formation is the main source of the generation and accumulation of hydrocarbons in the lacustrine deltas of Bonan depression. Exploration and research work in different blocks is carried out separately. Types of sedimentary facies, and their vertical and lateral evolution in Es3z are not studied in detail. To fill this knowledge gap, we did a detailed analysis of facies and lithological characteristics through integrative studies of cores, well logs and seismic data. Identification of sedimentary structures and lithology of the reservoir zone from cores are calibrated with high-quality well logs and seismic data. Depositional facies in Es3z reservoirs are identified through analysis of sedimentary structures, grain size, log’s trends and seismic sections. Es3z was deposited in the fan delta front setting where five facies associations are found, among them distributary channels consisting of MCS, CSg, PCSs, MS, RCL, WCS, PBSs, RCS and GBS lithofacies, natural levee containing DFs, and furthermore, sheet sand are associated to CBS and SSM lithofacies. GM, GGM and DGM lithofacies are related to inter-distributary deposits, whereas mouth bars consist of PLS, CS and CFS. Depositional history, flow direction of the sediments, and facies distribution are investigated through detailed facies mapping and cross-section profiling to show that the sediments were sourced from southeast to northwest. We found thicker succession of sedimentary profiles towards north and north-west directions. Belt distributary channel deposits, covering a wide range of areas, act as potential reservoirs along with mouth bar deposits, while mudstones in interdistributary channels act as a good source and seal rocks. The methodology adopted has great potential to explore the reservoirs of fan delta front in lacustrine deltas.

Published
2022
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200. Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

Author

Bhangu, Aneel, Ademuyiwa, Adesoji O, Aguilera, Maria Lorena, Alexander, Philip, Al-Saqqa, Sara W, Borda-Luque, Giuliano, Costas-Chavarri, Ainhoa, Drake, Thomas M, Ntirenganya, Faustin, Fitzgerald, J Edward, Fergusson, Stuart J, Glasbey, James, Ingabire, JC Allen, Ismaïl, Lawani, Salem, Hosni Khairy, Kojo, Anyomih Theophilus Teddy, Lapitan, Marie Carmela, Lilford, Richard, Mihaljevic, Andre L, Morton, Dion, Mutabazi, Alphonse Zeta, Nepogodiev, Dmitri, Adisa, Adewale O, Ots, Riinu, Pata, Francesco, Pinkney, Thomas, Poškus, Tomas, Qureshi, Ahmad Uzair, Ramos-De la Medina, Antonio, Rayne, Sarah, Shaw, Catherine A, Shu, Sebastian, Spence, Richard, Smart, Neil, Tabiri, Stephen, Harrison, Ewen M, Khatri, Chetan, Mohan, Midhun, Jaffry, Zahra, Altamini, Afnan, Kirby, Andrew, Søreide, Kjetil, Recinos, Gustavo, Cornick, Jen, Modolo, Maria Marta, Iyer, Dushyant, King, Sebastian, Arthur, Tom, Nahar, Sayeda Nazmum, Waterman, Ade, Walsh, Michael, Agarwal, Arnav, Zani, Augusto, Firdouse, Mohammed, Rouse, Tyler, Liu, Qinyang, Correa, Juan Camilo, Talving, Peep, Worku, Mengistu, Arnaud, Alexis, Kalles, Vassilis, Kumar, Basant, Kumar, Sunil, Amandito, Radhian, Quek, Roy, Ansaloni, Luca, Altibi, Ahmed, Venskutonis, Donatas, Zilinskas, Justas, Poskus, Tomas, Whitaker, John, Msosa, Vanessa, Tew, Yong Yong, Farrugia, Alexia, Borg, Elaine, Bentounsi, Zineb, Gala, Tanzeela, Al-Slaibi, Ibrahim, Tahboub, Haya, Alser, Osaid H, Romani, Diego, Shu, Sebestian, Major, Piotr, Mironescu, Aurel, Bratu, Matei, Kourdouli, Amar, Ndajiwo, Aliyu, Altwijri, Abdulaziz, Alsaggaf, Mohammed Ubaid, Gudal, Ahmad, Jubran, Al Faifi, Seisay, Sam, Lieske, Bettina, Ortega, Irene, Jeyakumar, Jenifa, Senanayake, Kithsiri J, Abdulbagi, Omar, Cengiz, Yucel, Raptis, Dmitri, Altinel, Yuksel, Kong, Chia, Teasdale, Ella, Irwin, Gareth, Stoddart, Michael, Kabariti, Rakan, Suresh, Sukrit, Gash, Katherine, Narayanan, Ragavan, Maimbo, Mayaba, Grizhja, Besmir, Ymeri, Shpetim, Galiqi, Gezim, Klappenbach, Roberto, Antezana, Diego, Mendoza Beleño, Alvaro Enrique, Costa, Cecilia, Sanchez, Belen, Aviles, Susan, Fermani, Claudio Gabriel, Balmaceda, Rubén, Villalobos, Santiago, Carmona, Juan Manuel, Hamill, Daniel, Deutschmann, Peter, Sandler, Simone, Cox, Daniel, Nataraja, Ram, Sharpin, Claire, Ljuhar, Damir, Gray, Demi, Haines, Morgan, Iyer, Dush, Niranjan, Nithya, D'Amours, Scott, Ashtari, Morvarid, Franco, Helena, Rahman Mitul, Ashrarur, Karim, Sabbir, Aman, Nowrin F, Estee, Mahnuma Mahfuz, Salma, Umme, Razzaque, Joyeta, Hamid Kanta, Tasnia, Tori, Sayeeda Aktar, Alamin, Shadid, Roy, Swapnil, Al Amin, Shadid, Karim, Rezaul, Haque, Muhtarima, Faruq, Amreen, Iftekhar, Farhana, O'Shea, Margaret, Padmore, Greg, Jonnalagadda, Ramesh, Litvin, Andrey, Filatau, Aliaksandr, Paulouski, Dzmitry, Shubianok, Maryna, Shachykava, Tatsiana, Khokha, Dzianis, Khokha, Vladimir, Djivoh, Fernande, Dossou, Francis, Seto, Djifid Morel, Gbessi, Dansou Gaspard, Noukpozounkou, Bruno, Imorou Souaibou, Yacoubou, Keke, Kpèmahouton René, Hodonou, Fred, Ahounou, Ernest Yemalin Stephane, Alihonou, Thierry, Dénakpo, Max, Ahlonsou, Germain, Ginbo Bedada, Alemayehu, Nsengiyumva, Carlos, Kwizera, Sandrine, Barendegere, Venerand, Choi, Philip, Stock, Simon, Jamal, Luai, Azzie, Georges, Kushwaha, Sameer, Chen, Tzu-Ling, Yip, Chingwan, Montes, Irene, Zapata, Felipe, Sierra, Sebastian, Villegas Lanau, Maria Isabel, Mendoza Arango, Maria Clara, Mendoza Restrepo, Ivan, Restrepo Giraldo, Ruben Santiago, Domini, Edgar, Karlo, Robert, Mihanovic, Jakov, Youssef, Mohamed, Elfeki, Hossam, Thabet, Waleed, Sanad, Aly, Tawfik, Gehad, Zaki, Ahmed, Abdel-Hameed, Noran, Mostafa, Mohamed, Omar, Muhammad Fathi Waleed, Ghanem, Ahmed, Abdallah, Emad, Denewer, Adel, Emara, Eman, Rashad, Eman, Sakr, Ahmad, Elashry, Rehab, Emile, Sameh, Khafagy, Toqa, Elhamouly, Sara, Elfarargy, Arwa, Mamdouh Mohamed, Amna, Saied Nagy, Ghada, Esam, Abeer, Elwy, Eman, Hammad, Aya, Khallaf, Salwa, Ibrahim, Eman, Said Badr, Ahmed, Moustafa, Ahmed, Eldosouky Mohammed, Amany, Elgheriany, Mohammed, Abdelmageed, Eman, Al Raouf, Eman Abd, Samir Elbanby, Esraa, Elmasry, Maha, Morsy Farahat, Mahitab, Yahya Mansor, Eman, Magdy Hegazy, Eman, Gamal, Esraa, Gamal, Heba, Kandil, Hend, Maher Abdelrouf, Doaa, Moaty, Mohamed, Gamal, Dina, El-Sagheer, Nada, Salah, Mohamed, Magdy, Salma, Salah, Asmaa, Essam, Ahmed, Ali, Ahmed, Badawy, Mahmoud, Ahmed, Sara, Mohamed, Mazed, Assal, Abdelrahman, Sleem, Mohamed, Ebidy, Mai, Abd-Elrazek, Aly, Zahran, Diaaaldin, Adam, Nourhan, Nazir, Mohamed, Hassanein, Adel B, Ismail, Ahmed, Elsawy, Amira, Mamdouh, Rana, Mabrouk, Mohamed, Ahmed, Lopna Ahmed Mohamed, Hassab Alnaby, Mohamed, Magdy, Eman, Abd-Elmawla, Manar, Fahim, Marwan, Mowafy, Bassant, Ibrahim Mahmoud, Moustafa, Allam, Meran, Alkelani, Muhammad, Halim El Gendy, Noran, Saad Aboul-Naga, Mariam, Alaa El-Din, Reham, Elgendy, Alyaa Halim, Ismail, Mohamed, Shalaby, Mahmoud, Adel Elsharkawy, Aya, Elsayed Moghazy, Mahmoud, Hesham Elbisomy, Khaled, Abdel Gawad Shakshouk, Hend, Hamed, Mohamed Fouad, Ebidy, Mai Mohamed, Abdelkader, Mostafa, Karkeet, Mohamed, Ahmed, Hayam, Adel, Israa, Omar, Mohammad Elsayed, Ibrahim, Mohamed, Ghoneim, Omar, Hesham, Omar, Gamal, Shimaa, Hilal, Karim, Arafa, Omar, Adel Awad, Sawsan, Salem, Menatalla, Abdellatif Elsherif, Fawzia, Elsabbagh, Nourhan, Aboelsoud, Moustafa R, Hossam Eldin Fouad Rida, Ahmed, Hossameldin, Amr, Hany, Ethar, Hosny Asar, Yomna, Anwar, Nourhan, Gadelkarim, Mohamed, Abdelhady, Samar, Mohamed Morshedy, Eman, Saad, Reham, Soliman, Nourhan, Salama, Mahmoud, Ezzat, Eslam, Mohamed, Arwa, Ibrahim, Arwa, Fergany, Alaa, Mohammed, Sara, Reda, Aya, Allam, Yomna, Saad, Hanan Adel, Abdelfatah, Afnan, Fathy, Aya Mohamed, El-Sehily, Ahmed, Abdalmageed Kasem, Esraa, Hassan, Ahmed Tarek Abdelbaset, Mohammed, Ahmed Rabeih, Saad, Abdalla Gamal, Elfouly, Yasmin, Elfouly, Nesma, Ibrahim, Arij, Hassaan, Amr, Mohammed, Mohammed Mustafa, Elhoseny, Ghada, Magdy, Mohamed, Abd Elkhalek, Esraa, Zakaria, Yehia, Ezzat, Tarek, Abo El Dahab, Ali, Kelany, Mohamed, Arafa, Sara, Mokhtar Mohamed Hassan, Osama, Mohamed Badwi, Nermin, Saber Sleem, Ahmad, Ahmed, Hussien, Abdelbadeai, Kholoud, Abozed Abdullah, Mohamed, Lokman, Muhammad Amsyar Auni, Bahar, Suraya, Rady Abdelazeam, Anan, Adelshone, Abdelrahman, Bin Hasnan, Muhammad, Zulkifli, Athirah, Kamarulzamil, Siti Nur Alia, Elhendawy, Abdelaziz, Latif, Aliang, Bin Adnan, Ahmad, Shaharuddin, Shahadatul, Haji Abdul Majid, Aminah Hanum, Amreia, Mahmoud, Al-Marakby, Dina, Salma, Mahmoud, Ismail, Mohamad Jeffrey Bin, Mohd Basir, Elissa Rifhan, Mohd Ali, Citra Dewi, Ata, Aya Yehia, Nasr, Maha, Rezq, Asmaa, Sheta, Ahmed, Tariq, Sherif, Sallam, Abd Elkhalek, Darwish, Abdelrhman KZ, Elmihy, Sohaila, Elhadry, Shady, Farag, Ahmed, Hajeh, Haidar, Abdelaal, Abdelaziz, Aglan, Amro, Zohair, Ahmed, Essam, Mahitab, Moussa, Omar, El-Gizawy, Esraa, Samy, Mostafa, Ali, Safia, El Halawany, Esraa, Ata, Ahmed, El Halawany, Mohamed, Nashat, Mohamed, Soliman, Samar, Elazab, Alaa, Samy, Mostada, Abdelaziz, Mohamed A, Ibrahim, Khaled, Ibrahim, Ahmed Mohamed, Gado, Ammar, Hantour, Usama, Alm Eldeen, Esraa, Loaloa, Mohamed Reda, Abouzaid, Arwa, Ahmed Bahaa Eldin, Mostafa, Hashad, Eman, Sroor, Fathy, Gamil, Doaa, Mahmoud Abdulhakeem, Eman, Zakaria, Mahmoud, Mohamed, Fawzy, Abubakr, Marwan, Ali, Elsayed, Magdy, Hesham, Ramadan, Menna Tallah, Abdelaty Mohamed, Mohamed, Mansour, Salma, Abdul Aziz Amin, Hager, Rabie Mohamed, Ahmed, Saami, Mahmoud, Ahmed Reda Elsayed, Nada, Tarek, Adham, Mohy Eldeen Mahmoud, Sabry, Magdy El Sayed, Islam, Reda, Amira, Yusuf Shawky, Martina, Mousa Salem, Mohammed, Alaa El-Din, Shahinaz, Abdullah Soliman, Noha, Talaat, Muhammed, Alaael-Dein, Shahinaz, Abd Elmoen Elhusseiny, Ahmed, Abdullah, Noha, Elshaar, Mohammed, Abdelfatah Ibraheem, Aya, Abdulaziz, Hager, Kamal Ismail, Mohammed, Hamdy Madkor, Mona, Abdelaty, Mohamed, Mahmoud Abdel-Kader, Sara, Mohamed Salah, Osama, Eldafrawy, Mahmoud, Zaki Eldeeb, Ahmed, Mahmoud Eid, Mostafa, Attia, Attia, Salah El-Dien, Khalid, Shwky, Ayman, Badenjki, Mohamed Adel, Soliman, Abdelrahman, Mahmoud Al Attar, Samaa, Sayed, Farrag, Abdel Sabour, Fahd, Azizeldine, Mohammed G, Shawqi, Muhammad, Hashim, Abdullah, Aamer, Ahmed, Abdelraouf, Ahmed Mahmoud, Abdelshakour, Mahmoud, Ibrahim, Amal, Mahmoud, Basma, Ali Mahmoud, Mohamed, Qenawy, Mostafa, Rashed, Ahmed M, Dahy, Ahmed, Sayed, Marwa, Shamsedine, Ahmed W, Mohamed, Bakeer, Hasan, Ahmad, Saad, Mahmoud M, Abdul Bassit, Khalil, Khalid Abd El-Latif, Nadia, Elzahed, Nada, El Kashash, Ahmed, Bekhet, Nada Mohamed, Hafez, Sarah, Gad, Ahmed, Maher, Mahmoud Elkhadragy, Abd El-Sameea, Ahmed, Hafez, Mohamed, Sabe, Ahmad, Ahmed, Ataa, Shahine, Ahmed, Dawood, Khaled, Gaafar, Shireen, Husseiny, Reem, Aboelmagd, Omnia, Soliman, Ahmed, Mesbah, Nourhan, Emadeldin, Hossam, Al Meligy, Amgad, Bekhet, Amira Hassan, Hasan, Doaa, Alhady, Khaled, Sabe, Ahmad Khaled, Elnajjar, Mahmoud A, Aboelella, Majed, Hamsho, Ward, Hassan, Ihab, Saad, Hala, Abdelazim, Galaleldin, Mahmoud, Hend, Wael, Noha, Kandil, Ahmedali M, Magdy, Ahmed, Said Elkholy, Shimaa, Adel, Badr Eldin, Dabbour, Kareem, Elsherbiney, Saged, Mattar, Omar, Khaled AbdRabou, Abdulshafi, Aly, Mohammed Yahia Mohamed, Geuoshy, Abdelrahman, Elnagar, Ahmedglal, Ahmed, Saraibrahim, Abdelmotaleb, Ibrahem, Saleh, Amr Ahmed, Mohammed Bakry, Hesham, Saeed, Manar, Mahmoud, Shady, Tawfik, Badreldin Adel, Ismail, Samar Adel, Zakaria, Esraay, Gad, Mariam O, Salah Elhelbawy, Mohamed, Bassem, Monica, Maraie, Noha, Medhat Elhadary, Nourhan, Semeda, Nourhan, Rabie Mohamed, Shaza, Bakry, Hesham Mohammed, Essam, AA, Tarek, Dina, Ashour, Khlood, Elhadad, Alaa, Abdel-Aty, Abdulrahman, Rakha, Ibrahim, Mamdouh Matter, Sara, Abdelhamed, Rasha, Abdelkader, Omar, Hassaan, Ayat, Soliman, Yasmin, Mohamed, Amna, Ghanem, Sara, Amr Mohamed Farouk, Sara, Ibrahim, Eman Mohamed, El-Taher, Esraa, Mostafa, Merna, Mahrous Badr, Mohamed Fawzy, Elsemelawy, Rofida, El-Sawy, Aya, Bakr, Ahmad, Al Rafati, Ahmad Abdel Razaq, Saar, Sten, Reinsoo, Arvo, Seyoum, Nebyou, Worku, Tewodros, Fitsum, Agazi, Tolonen, Matti, Leppäniemi, Ari, Sallinen, Ville, Parmentier, Benogreît, Peycelon, Matthieu, Irtan, Sabine, Dardenne, Sabrina, Robert, Elsa, Maillot, Betty, Courboin, Etienne, Arnaud, Alexis Pierre, Hascoet, Juliette, Abbo, Olivier, Ait Kaci, Amir, Prudhomme, Thomas, Ballouhey, Quentin, Grosos, Céline, Fourcade, Laurent, Cecilia, Tolg, Jean-Francois, Colombani, Helene, Francois-Coridon, Delforge, Xavier, Haraux, Elodie, Dousset, Bertrand, Schiavone, Roberto, Gaujoux, Sebastien, Marret, Jean-Baptiste, Haffreingue, Aurore, Rod, Julien, Renaux-Petel, Mariette, Lecompte, Jean-François, Bréaud, Jean, Gastaldi, Pauline, Taieb, Chouikh, Claire, Raquillet, Anis, Echaieb, Bustangi, Nasir, Lopez, Manuel, Scalabre, Aurelien, Grella, Maria Giovanna, Mariani, Aurora, Podevin, Guillaume, Schmitt, Françoise, Hervieux, Erik, Broch, Aline, Muller, Cecile, Bandoh, Dickson, Abantanga, Francis, Kyereh, Martin, Asumah, Hamza, Appiah, Eric Kofi, Wondoh, Paul, Gyedu, Adam, Dally, Charles, Agbedinu, Kwabena, Amoah, Michael, Yifieyeh, Abiboye, Owusu, Frank, Amoako-Boateng, Mabel, Dayie, Makafui, Hagan, Richmond, Debrah, Sam, Ohene-Yeboah, Micheal, Clegg-Lampety, Joe-Nat, Etwire, Victor, Dakubo, Jonathan, Essoun, Samuel, Bonney, William, Glover-Addy, Hope, Osei-Nketiah, Samuel, Amoako, Joachim, Adu-Aryee, Niiarmah, Appeadu-Mensah, William, Bediako-Bowan, Antoinette, Dedey, Florence, Ekow, Mattew, Akatibo, Emmanuel, Yakubu, Musah, Kordorwu, Hope Edem Kofi, Asare-Bediako, Kwasi, Tackie, Enoch, Aaniana, Kenneth, Acquah, Emmanuel, Opoku-Agyeman, Richard, Avoka, Anthony, Kusi, Kwasi, Maison, Kwame, Gyamfi, Frank Enoch, Naa Barnabas, Gandau, Abdul-Latif, Saiba, Taah Amoako, Philip, Davor, Anthony, Dassah, Victor, Dagoe, Enoch, Kwakyeafriyie, Prince, Akoto, Elliot, Ackom, Eric, Mensah, Ekow, Atkins, Ebenezer Takyi, Coompson, Christian Lari, Ivros, Nikolaos, Ferousis, Christoforos, Kalles, Vasileios, Agalianos, Christos, Kyriazanos, Ioannis, Barkolias, Christos, Tselos, Angelos, Tzikos, Georgios, Voulgaris, Evangelos, Lytras, Dimitrios, Bamicha, Athanasia, Psarianos, Kyriakos, Stefanopoulos, Anastasios, Patoulias, Ioannis, Sfougaris, Dimitrios, Valioulis, Ioannis, Balalis, Dimitrios, Korkolis, Dimitrios, Manatakis, Dimitrios K, Kyrou, Georgios, Karabelias, Georgios, Papaskarlatos, Iason-Antonios, Konstantina, Kolonia, Zampitis, Nikolaos, Germanos, Stylianos, Papailia, Aspasia, Theodosopoulos, Theodosios, Gkiokas, Georgios, Mitroudi, Magdalini, Panteli, Christina, Feidantsis, Thomas, Farmakis, Konstantinos, Kyziridis, Dimitrios, Ioannidis, Orestis, Parpoudi, Styliani, Gemenetzis, Georgios, Parasyris, Stavros, Anthoulakis, Christos, Nikoloudis, Nikolaos, Margaritis, Michail, Aguilera-Arevalo, Maria-Lorena, Coyoy-Gaitan, Otto, Rosales, Javier, Tale, Luis, Soley, Rafael, Barrios, Emmanuel, Rodriguez, Servio Tulio Torres, Paz Galvez, Carlos, Herrera Cruz, Danilo, Sanchez Rosenberg, Guillermo, Matheu, Alejandro, Cohen, David Monterroso, Paul, Marie, Charles, Angeline, Lam, Justin Chak Yiu, Yeung, Man Hon Andrew, Fok, Chi Ying Jacquelyn, Li, Ka Hin Gabriel, Lai, Anthony Chuk-Him, Cheung, Yuk Hong Eric, Wong, Hong Yee, Leung, Ka Wai, Lee, Tien Seng Bryan, Lam, Wai Him, Dao, Weihei, Kwok, Stephanie Hiu-wai, Chan, Tsz-Yan Katie, Ng, Yung Kok, Mak, TWC, Foo, Chi Chung, Yang, James, Bhatnagar, Ankur, Upadhyaya, Vijaid, Muddebihal, Uday, Dar, Wasim, Janardhan, KC, Aruldas, Neerav, Adella, Fidelis Jacklyn, Rulie, Anthonius Santoso, Iskandar, Ferdy, Setiawan, Jonny, Evajelista, Cicilia Viany, Natalie, Hani, Suyadi, Arlindawati, Gunawan, Rudy, Karismaningtyas, Herlin, Mata, Lusi Padma Sulistianingsih, Andika, Ferry Fitriya Ayu, Hasanah, Afifatun, Widiastini, T Ariani, Purwaningsih, Nurlaila Ayu, Mukin, Annisa Dewi Fitriana, Rahmah, Dina Faizatur, Nurqistan, Hazmi Dwinanda, Arsyad, Hasbi Maulana, Adhitama, Novia, Jeo, Wifanto Saditya, Sutandi, Nathania, Clarissa, Audrey, Gultom, Phebe Anggita, Billy, Matthew, Haloho, Andreass, Johanna, Nadya, Lee, Felix, Radin Dorani, Radin Mohd Nurrahman, Glynn, Martha, Alherz, Mohammad, Goh, Wennweoi, Shiwani, Haaris A, Sproule, Lorraine, Conlon, Kevin C, Bala, Miklosh, Kedar, Asaf, Turati, Luca, Bianco, Federica, Steccanella, Francesca, Gallo, Gaetano, Trompetto, Mario, Clerico, Giuseppe, Papandrea, Matteo, Sammarco, Giuseppe, Sacco, Rosario, Benevento, Angelo, Giavarini, Luisa, Giglio, Mariano Cesare, Bucci, Luigi, Pagano, Gianluca, Sollazzo, Viviana, Peltrini, Roberto, Luglio, Gaetano, Birindelli, Arianna, Di Saverio, Salomone, Tugnoli, Gregorio, Paludi, Miguel Angel, Mingrone, Pietro, Pata, Domenica, Selvaggi, Francesco, Selvaggi, Lucio, Pellino, Gianluca, Di Martino, Natale, Curletti, Gianluca, Aonzo, Paolo, Galleano, Raffaele, Berti, Stefano, Francone, Elisa, Boni, Silvia, Lorenzon, Laura, lo Conte, Annalisa, Balducci, Genoveffa, Confalonieri, Gianmaria, Pesenti, Giovanni, Gavagna, Laura, Vasquez, Giorgio, Targa, Simone, Occhionorelli, Savino, Andreotti, Dario, Pata, Giacomo, Armellini, Andrea, Chiesa, Deborah, Aquilino, Fabrizio, Chetta, Nicola, Picciariello, Arcangelo, Abdelkhalek, Mohamed, Belli, Andrea, De Franciscis, Silvia, Bigaran, Annamaria, Favero, Alessandro, Basso, Stefano MM, Salusso, Paola, Perino, Martina, Mochet, Sylvie, Sasia, Diego, Riente, Francesco, Migliore, Marco, Merlini, David, Basilicò, Silvia, Corbellini, Carlo, Lazzari, Veronica, Macchitella, Yuri, Bonavina, Luigi, Angelieri, Daniele, Coletta, Diego, Falaschi, Federica, Catani, Marco, Reali, Claudia, Malavenda, Mariastella, Del Basso, Celeste, Ribaldi, Sergio, Coletti, Massimo, Natili, Andrea, Depalma, Norma, Iannone, Immacolata, Antoniozzi, Angelo, Rossi, Davide, Gui, Daniele, Perrotta, Gerardo, Ripa, Matteo, Giardino, Francesco Ruben, Foco, Maurizio, Vicario, Erika, Coccolini, Federico, Nita, Gabriela Elisa, Leone, Nicoletta, Bondurri, Andrea, Maffioli, Anna, Simioni, Andrea, De Boni, Davide, Pasquali, Sandro, Goldin, Elena, Vendramin, Elena, Ciccioli, Eleonora, Tedeschi, Umberto, Bortolasi, Luca, Violi, Paola, Campagnaro, Tommaso, Conci, Simone, Lazzari, Giovanni, Iacono, Calogero, Gulielmi, Alfredo, Manfreda, Serena, Rinaldi, Anna, Ringressi, Maria Novella, Brunoni, Beatrice, Salamone, Giuseppe, Mangiapane, Mirko, De Marco, Paolino, La Brocca, Antonella, Tutino, Roberta, Silvestri, Vania, Licari, Leo, Fontana, Tommaso, Falco, Nicolò, Cocorullo, Gianfranco, Shalaby, Mostafa, Sileri, Pierpaolo, Arcudi, Claudio, Bsisu, Isam, Aljboor, Khaled, Abusalem, Lana, Alnusairat, Aseel, Qaissieh, Ahmad, Al-Dakka, Emad, Ababneh, Ali, Halhouli, Oday, Yusufali, Taha, Mohammed, Hussein, Lando, Justus, Parker, Robert, Ndegwa, Wairimu, Jokubauskas, Mantas, Gribauskaite, Jolanta, Kuliavas, Justas, Dulskas, Audrius, Samalavicius, Narimantas E, Jasaitis, Kristijonas, Parseliunas, Audrius, Nevieraite, Viktorija, Montrimaite, Margarita, Slapelyte, Evelina, Dainius, Edvinas, Riauka, Romualdas, Dambrauskas, Zilvinas, Subocius, 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2018
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