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6. Comprehensive review of composition, properties, clinical applications, and future perspectives of calcium-enriched mixture (CEM) cement: a systematic analysis.

Author

Asgary, Saeed, Aram, Mahtab, and Fazlyab, Mahta

Subjects
ROOT canal treatment, ROOT resorption (Teeth), CLINICAL medicine, PULPOTOMY, RESEARCH personnel
Abstract

This review aims to comprehensively explore calcium-enriched mixture (CEM) cement as a crucial biomaterial in dentistry/endodontics. With its growing clinical relevance, there is a need to evaluate its composition, chemical/physical/biological properties, clinical applications, and future perspectives to provide clinicians/researchers with a detailed understanding of its potential in endodontic procedures. Through systematic analysis of available evidence, we assess the advantages/limitations of CEM cement, offering valuable insights for informed decision-making in dental/endodontic practice. Our findings highlight the commendable chemical/physical properties of CEM cement, including handling characteristics, alkalinity, color stability, bioactivity, biocompatibility, sealing ability, and antimicrobial properties. Importantly, CEM cement has shown the potential in promoting regenerative processes, such as dentinogenesis and cementogenesis. It has demonstrated successful outcomes in various clinical applications, including vital pulp therapy techniques, endodontic surgery, open apices management, root resorption/perforation repair, and as an orifice/root canal obturation material. The efficacy and reliability of CEM cement in diverse clinical scenarios underscore its effectiveness in endodontic practice. However, we emphasize the need for well-designed clinical trials with long-term follow-up to further substantiate the full potential of CEM cement. This review serves as a robust reference for researchers/practitioners, offering an in-depth exploration of CEM cement and its multifaceted roles in contemporary dentistry/endodontics. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Comprehensive review of composition, properties, clinical applications, and future perspectives of calcium-enriched mixture (CEM) cement: a systematic analysis

Author

Saeed Asgary, Mahtab Aram, and Mahta Fazlyab

Subjects
Biocompatibility, Calcium-enriched mixture cement, CEM cement, Clinical applications, Endodontics, Pulpotomy, Medical technology, R855-855.5
Abstract

Abstract This review aims to comprehensively explore calcium-enriched mixture (CEM) cement as a crucial biomaterial in dentistry/endodontics. With its growing clinical relevance, there is a need to evaluate its composition, chemical/physical/biological properties, clinical applications, and future perspectives to provide clinicians/researchers with a detailed understanding of its potential in endodontic procedures. Through systematic analysis of available evidence, we assess the advantages/limitations of CEM cement, offering valuable insights for informed decision-making in dental/endodontic practice. Our findings highlight the commendable chemical/physical properties of CEM cement, including handling characteristics, alkalinity, color stability, bioactivity, biocompatibility, sealing ability, and antimicrobial properties. Importantly, CEM cement has shown the potential in promoting regenerative processes, such as dentinogenesis and cementogenesis. It has demonstrated successful outcomes in various clinical applications, including vital pulp therapy techniques, endodontic surgery, open apices management, root resorption/perforation repair, and as an orifice/root canal obturation material. The efficacy and reliability of CEM cement in diverse clinical scenarios underscore its effectiveness in endodontic practice. However, we emphasize the need for well-designed clinical trials with long-term follow-up to further substantiate the full potential of CEM cement. This review serves as a robust reference for researchers/practitioners, offering an in-depth exploration of CEM cement and its multifaceted roles in contemporary dentistry/endodontics.

Published
2024
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13. Road to Resettlement: Understanding Post-disaster Relocation and Resettlement Challenges and Complexities Through a Serious Game

Author

Ali Asgary, Peyman Naeemi, Nilanjana Ganguli, Mohammadali Tofighi, Koorosh Attarian, and Tabata Fioretto

Subjects
Cyclone freddy, Displacement, Malawi, Post disaster recovery, Resettlement, Serious game, Disasters and engineering, TA495
Abstract

Abstract Resettlement and relocation are among the most difficult policies to put into practice, but they may be the best ways to minimize future risks to settlements exposed to natural hazards both before and after disaster events. As climate-related disasters and forced migration become increasingly common worldwide, governments, humanitarian or development actors, and policymakers must now prioritize the implementation of a dignified and effective resettlement program as part of their planning and management responsibilities. Much of this effectiveness depends on the stakeholders and beneficiaries’ understanding and knowledge of the different resettlement phases, culture and customs of affected populations, activities, and the associated implementation challenges, costs, and benefits. Serious games are used in a variety of contexts to increase awareness, train and build capacity in stakeholders and beneficiaries. This article presents a serious game developed to educate practitioners, local agencies, students, and the public to understand the complexities and challenges involved in a successful resettlement. The game is based on a real proposed resettlement project initiated in the Chiradzulu District in southern Malawi after Cyclone Freddy in March 2023, which caused widespread flooding and landslides, forcing some villages to relocate permanently. The progression in the Road to Resettlement Game consists of six primary levels: land and site preparation, housing and livelihood, water, sanitation, and hygiene, health, education, and protection. These levels are meant to be completed in a sequence that adheres to the principles of resettlement. By engaging in the serious table-top board game, players gain an understanding of the resettlement activities, their sequence, and the associated practical (technical and social) and financial challenges.

Published
2024
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14. A Virtual Reality Simulation of a Real Landslide for Education and Training: Case of Chiradzulu, Malawi, 2023 Landslide

Author

Ali Asgary, Ali Hassan, and Tricia Corrin

Subjects
landslide, virtual reality, disaster, hazard, Chiradzulu, Malawi, Environmental sciences, GE1-350
Abstract

Virtual reality (VR) is a promising new educational and training tool in the field of disaster and emergency management, especially for hazards that are not frequent or well known to the public and require spatial and situational understanding. The objective of this paper is to describe an educational VR simulation that was developed based on a landslide that really occurred in Southern Malawi during the March 2023 Cyclone Freddy. The cyclone induced several landslides that caused many casualties and significant damage. The VR simulation framework consisted of four critical steps using Unity3D for the creation of the simulation including data preparation, terrain and environmental modeling, landslide simulation development, and virtual reality interactions. The simulation scenarios were diversified to include three distinct landscapes that can help users learn how factors such as terrain can influence landslide impacts. The VR simulation offers users an intimate, firsthand experience of the landslide’s unfolding and allows users the ability to explore various facets of the landslide phenomena. This VR simulation aims to provide an educational tool to facilitate an in-depth understanding of and interaction with a real-word landslide to learn about the impacts of landslides and how different factors can influence these impacts.

Published
2024
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15. Impact assessment of self-medication on COVID-19 prevalence in Gauteng, South Africa, using an age-structured disease transmission modelling framework

Author

Wisdom S. Avusuglo, Qing Han, Woldegebriel Assefa Woldegerima, Nicola Bragazzi, Ali Asgary, Ali Ahmadi, James Orbinski, Jianhong Wu, Bruce Mellado, and Jude Dzevela Kong

Subjects
COVID-19, Epidemiology, Self-medication, Age-structured, Disease model, Public aspects of medicine, RA1-1270
Abstract

Abstract Objective To assess the impact of self-medication on the transmission dynamics of COVID-19 across different age groups, examine the interplay of vaccination and self-medication in disease spread, and identify the age group most prone to self-medication. Methods We developed an age-structured compartmentalized epidemiological model to track the early dynamics of COVID-19. Age-structured data from the Government of Gauteng, encompassing the reported cumulative number of cases and daily confirmed cases, were used to calibrate the model through a Markov Chain Monte Carlo (MCMC) framework. Subsequently, uncertainty and sensitivity analyses were conducted on the model parameters. Results We found that self-medication is predominant among the age group 15-64 (74.52%), followed by the age group 0-14 (34.02%), and then the age group 65+ (11.41%). The mean values of the basic reproduction number, the size of the first epidemic peak (the highest magnitude of the disease), and the time of the first epidemic peak (when the first highest magnitude occurs) are 4.16499, 241,715 cases, and 190.376 days, respectively. Moreover, we observed that self-medication among individuals aged 15-64 results in the highest spreading rate of COVID-19 at the onset of the outbreak and has the greatest impact on the first epidemic peak and its timing. Conclusion Studies aiming to understand the dynamics of diseases in areas prone to self-medication should account for this practice. There is a need for a campaign against COVID-19-related self-medication, specifically targeting the active population (ages 15-64).

Published
2024
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16. Nonsurgical Endodontic Retreatment of a Cystic Apical Lesion Associated with Root Resorption: A Promising Approach

Author

Saeed Asgary

Subjects
Calcium enriched mixture (CEM) cement, Endodontics, Obturation material, Periapical cyst, Root resorption, Tricalcium silicate, Medicine
Abstract

This case report highlights the successful management of a cystic apical lesion associated with root resorption through nonsurgical endodontic retreatment, utilizing calcium-enriched mixture (CEM) cement as an obturating biomaterial. A 35-year-old woman presented with mild discomfort in the mandibular right first molar (#46), with radiographic evidence of a well-defined radiolucent lesion at the apex of the mesial root. The tooth had a history of previous failed endodontic treatment with poor root canal obturation, indicating internal root resorption. Nonsurgical endodontic retreatment was performed, and the canals were filled/sealed with CEM cement. Follow-up radiographs showed a gradual reduction in the size of the cystic lesion. At 54 months, complete bone healing of the cystic apical lesion was evident. This case report provides clinical evidence supporting the potential efficacy of nonsurgical endodontic retreatment using CEM cement in managing certain cystic apical lesions, offering a promising alternative to traditional surgical enucleation, even in cases with inflammatory root resorption. Further research is needed to validate the long-term efficacy of this approach in larger patient populations.

Published
2024
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18. Mitigating the flood disaster effects through the implementation of knowledge management: A systematic literature review

Author

Maryam Yousefi Mohammadi, Enayat Abbasi, Homayoun Farhadian, and Ali Asgary

Subjects
Knowledge management, Crisis management, Disaster management, Flood disaster, Content analysis, Environmental sciences, GE1-350
Abstract

Climate change is global threat and the world is now facing its outcomes more than the last decades. Climate change has increased the frequency and intensity of flooding among other extreme weather events. The execution of knowledge management in different phases of disaster management can be effective in mitigating damages caused by floods to natural and human environments. The present study identified effective actions to implement the five stages of knowledge management in the stages before, during and after the flood event. For this purpose, a systematic review of sources and qualitative content analysis have been applied to evaluate the published research in four stages of items collection, descriptive analysis, selection and classification, and assessment. According to the findings, the pre-crisis stage requires 13 actions in knowledge creation, 20 actions in knowledge acquisition, 7 actions in knowledge organization and storage, 23 actions in knowledge sharing, and 20 actions in knowledge use and development. The crisis phase requires 12 actions in knowledge sharing and 10 actions in knowledge use. In the post-crisis stage, 5 actions in the knowledge sharing, 11 actions in the knowledge use, and 12 actions in the knowledge evaluation phases have been identified. To prevent and manage the flood crisis, knowledge improvement and management is an effective and necessary aspect that should be considered among the organizations and communities involved in emergency management.

Published
2024
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19. Managing failed vital pulp therapies in mature permanent teeth in a retrospective cohort study, with success and survival rates of managing protocols

Author

Saeed Asgary, Leyla Roghanizadeh, Mohammad Jafar Eghbal, and Alireza Akbarzadeh Baghban

Subjects
Medicine, Science
Abstract

Abstract Despite advancements in vital pulp therapy (VPT), a subset of cases fails to achieve desired outcomes. This study based on a previous large-scale cohort study involving 1257 VPT-treated teeth, aiming to describe the demographic data and clinical characteristics of all failed cases and their management protocols. Clinical records/images of 105 failed cases treated by a single endodontist (2011–2022) were examined, including 10 extracted teeth. Asymptomatic cases with PDL widening received no intervention, while others underwent management protocols, including (selective) RCT and (tampon) re-VPT. These retreatments were assessed for success (defined as radiographic evidence of healing) and survival (characterized by the retention/function of the treated tooth) using Kaplan–Meier analysis. While 51.4% of all initial failures were diagnosed due to symptoms, 48.6% were symptom-free. Notably, failed cases with symptomatic irreversible pulpitis, and apical periodontitis/widened PDL before initial treatment significantly outnumbered asymptomatic cases and normal PDL, respectively (P = 0.001). Moreover, most of the initial failures were observed in teeth with composite resin rather than amalgam restorations (P = 0.002). The success and survival rates for the management protocols were 91.78% and 95.79%, respectively, over an average follow-up period of 36.94 (± 23.30) months. RCT and re-VPT procedures provide successful outcomes for managing unsuccessful VPTs.

Published
2024
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21. The determinants of COVID-19 case reporting across Africa

Author

Qing Han, Ghislain Rutayisire, Maxime Descartes Mbogning Fonkou, Wisdom Stallone Avusuglo, Ali Ahmadi, Ali Asgary, James Orbinski, Jianhong Wu, and Jude Dzevela Kong

Subjects
case reporting, COVID-19, Africa, determinants of case reporting, generalized additive model, hierarchical clustering on principal component analysis, Public aspects of medicine, RA1-1270
Abstract

BackgroundAccording to study on the under-estimation of COVID-19 cases in African countries, the average daily case reporting rate was only 5.37% in the initial phase of the outbreak when there was little or no control measures. In this work, we aimed to identify the determinants of the case reporting and classify the African countries using the case reporting rates and the significant determinants.MethodsWe used the COVID-19 daily case reporting rate estimated in the previous paper for 54 African countries as the response variable and 34 variables from demographics, socioeconomic, religion, education, and public health categories as the predictors. We adopted a generalized additive model with cubic spline for continuous predictors and linear relationship for categorical predictors to identify the significant covariates. In addition, we performed Hierarchical Clustering on Principal Components (HCPC) analysis on the reporting rates and significant continuous covariates of all countries.Results21 covariates were identified as significantly associated with COVID-19 case detection: total population, urban population, median age, life expectancy, GDP, democracy index, corruption, voice accountability, social media, internet filtering, air transport, human development index, literacy, Islam population, number of physicians, number of nurses, global health security, malaria incidence, diabetes incidence, lower respiratory and cardiovascular diseases prevalence. HCPC resulted in three major clusters for the 54 African countries: northern, southern and central essentially, with the northern having the best early case detection, followed by the southern and the central.ConclusionOverall, northern and southern Africa had better early COVID-19 case identification compared to the central. There are a number of demographics, socioeconomic, public health factors that exhibited significant association with the early case detection.

Published
2024
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27. Outcomes and predictive factors of vital pulp therapy in a large-scale retrospective cohort study over 10 years

Author

Saeed Asgary, Leyla Roghanizadeh, Mohammad Jafar Eghbal, Alireza Akbarzadeh Baghban, Anita Aminoshariae, and Ali Nosrat

Subjects
Medicine, Science
Abstract

Abstract This cohort study evaluated the long-term success/survival of vital pulp therapies (VPTs) after carious pulp exposure in adult teeth. Additionally, factors influencing long-term success were identified. Teeth treated during 2011–2022 in a private clinic were studied with clinical/radiographic follow-ups. Data included patient demographics, tooth specifics, and treatment details. Outcomes were classified as success/failure based on clinical/radiographic findings, with tooth functionality determining the survival rate. Encompassing 1149 patients and 1257 VPT-treated teeth, the average monitoring period was 42.2 months. Overall VPTs’ survival and success rates were 99.1% and 91.6%, respectively. Success rates for 768 direct pulp cappings, 217 miniature pulpotomies, and 272 full pulpotomies were 91.9%, 92.6%, and 90.1%, respectively (P > 0.05). Influencing factors included symptomatic irreversible pulpitis (SIP; HR 1.974, 95% CI 1.242–3.137; P = 0.004), radiographic signs of apical periodontitis (AP; HR 2.983, 95% CI 1.961–4.540; P

Published
2024
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28. Evaluating the Role of Biochanin A in Acetic acid-Induced Colitis in Rats: Involvement of Nitric Oxide Pathway

Author

Mohammad Hosein Farzaei, Atefe Tahani, Mohammad Reza Morovati, Maryam Ghanbari-Movahed, Sedigheh Asgary, and Samira Shirooie

Subjects
biochanin a, ibd, superoxide dismutase, ulcerative colitis, Pharmacy and materia medica, RS1-441
Abstract

Background and objectives: Inflammatory bowel disease (IBD) refers to idiopathic chronic and inflammatory bowel disorders such as ulcerative colitis. Considering the lack of definitive treatment and the side effects of existing drugs, finding efficient compounds is needed. Biochanin A has attracted the attention of researchers due to its wide range of medicinal activities. Until now, no study was conducted to evaluate its effects on colitis. Therefore, the aim of this study was to determine the effect of biochanin A on the nitrogen pathway in rats with acetic acid-induced colitis. Methods: Male rats were divided into five groups: normal group, negative control group, positive control group, and groups receiving biochanin A (10 and 20 mg/kg). Colitis was induced with 4% acetic acid. Next, the samples were evaluated at different macroscopic and microscopic levels, and biochemical test of superoxide dismutase (SOD) and nitric oxide activity was investigated. Results: Macroscopic and microscopic investigations showed that treatment with biochanin A decreased mucosal damage in rats with acetic acid-induced colitis. Biochanin A reduced neutrophil infiltration in the intestinal tissue. It also led to the reduction in nitric oxide and enhancement of SOD in rats. The optimal dose of biochanin A was 20 mg/kg, which had the best effect on reducing inflammation and mucosal lesions in rats. Conclusion: Biochanin A, due to its anti-inflammatory effects by reducing nitric oxide and enhancement of SOD and reducing mucosal damage in rats with acetic acid-induced colitis, can be a useful alternative drug for the prevention or treatment of IBD patients.

Published
2024
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29. Integrating Resilience into Risk Matrices: A Practical Approach to Risk Assessment with Empirical Analysis

Author

Ali Vaezi, Samantha Jones, and Ali Asgary

Subjects
risk assessment, resilience, risk matrix, disaster risk, survey data, decision making, Engineering (General). Civil engineering (General), TA1-2040, Risk in industry. Risk management, HD61
Abstract

The changing and intensifying landscape of global, national, and local disaster risks, driven by socio-political, environmental, and technological shifts, underscores the critical need for risk assessment by international agencies and governments. The Risk Matrix, introduced in 1995, has been widely used for risk assessment in different contexts, lauded for its simplicity and effectiveness. This model relies on the core risk components of consequence and likelihood, making it a favored tool for risk managers. To enhance the precision of risk assessment, various adaptations and extensions of the risk matrix have emerged; while some indirectly address resilience aspects, none explicitly integrate resilience into the matrix. This paper explores the risk matrix and its extensions, advocating for the inclusion of resilience in risk assessment. It introduces an empirical approach to quantify resilience, through a survey targeting small and medium-sized businesses in Southern Ontario, Canada. By developing two types of risk matrices—one with resilience considerations and one without—our work demonstrates how resilience alters risk prioritization, highlighting the importance of preparedness. This research underscores the pivotal role of resilience in risk assessment and urges its explicit integration into risk matrices to enhance accuracy and efficacy. Through practical examples and empirical data, the paper builds a compelling case for the central role of resilience in modern risk assessment practices.

Published
2023
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30. Global, regional, and national burden of injuries, and burden attributable to injuries risk factors, 1990 to 2019: results from the Global Burden of Disease study 2019

Author

Malekpour, Mohammad-Reza, Rezaei, Negar, Azadnajafabad, Sina, Khanali, Javad, Azangou-Khyavy, Mohammadreza, Moghaddam, Sahar Saeedi, Heidari-Foroozan, Mahsa, Rezazadeh-Khadem, Sahba, Ghamari, Seyyed-Hadi, Abbasi-Kangevari, Mohsen, Abady, Gdiom Gebreheat, Abdulkader, Rizwan Suliankatchi, Abebe, Ayele Mamo, Abu-Gharbieh, Eman, Acharya, Dilaram, Addo, Isaac Yeboah, Adeagbo, Oluwafemi Atanda, Adegboye, Oyelola A., Adeyinka, Daniel Adedayo, Sakilah Adnani, Qorinah Estiningtyas, Afolabi, Aanuoluwapo Adeyimika, Afzal, Saira, Afzal, Muhammad Sohail, Ahmad, Sajjad, Ahmad, Aqeel, Ahmadi, Ali, Ahmadieh, Hamid, Ahmed, Haroon, Ahmed, Mehrunnisha Sharif, Ajami, Marjan, Akbarialiabad, Hossein, Akunna, Chisom Joyqueenet, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M., Alhassan, Robert Kaba, Ali, Liaqat, Samakkhah, Shohreh Alian, Alimohamadi, Yousef, Aljunid, Syed Mohamed, Almustanyir, Sami, Al-Sabah, Salman Khalifah, Altirkawi, Khalid A., Amare, Hiwot, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amiri, Sohrab, Andrei, Tudorel, Andrei, Catalina Liliana, Anvari, Davood, Anwar, Sumadi Lukman, Aqeel, Muhammad, Arab-Zozani, Morteza, Arumugam, Ashokan, Aryal, Umesh Raj, Asaad, Malke, Asgary, Saeed, Ashraf, Tahira, Astell-Burt, Thomas, Athari, Seyyed Shamsadin, Atreya, Alok, Aujayeb, Avinash, Awedew, Atalel Fentahun F., Quintanilla, Beatriz Paulina Ayala, Aychiluhm, Setognal Birara, Ayele, Alemu Degu, Azizi, Hosein, Azzam, Ahmed Y., Bakkannavar, Shankar M., Bardhan, Mainak, Barker-Collo, Suzanne Lyn, Barqawi, Hiba Jawdat, Barrow, Amadou, Bashiri, Azadeh, Baskaran, Pritish, Basu, Saurav, Bedi, Neeraj, Bekele, Alehegn, Belo, Luis, Bennett, Derrick A., Bensenor, Isabela M., Berhie, Alemshet Yirga, Bhagavathula, Akshaya Srikanth, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A., Bitaraf, Saeid, Boloor, Archith, Borges, Guilherme, Borschmann, Rohan, Boufous, Soufiane, Brauer, Michael, Briggs, Andrew M., Brown, Julie, Bryazka, Dana, Cámera, Luis Alberto, Cárdenas, Rosario, Carvalho, Márcia, Catalá-López, Ferrán, Cerin, Ester, Charan, Jaykaran, Chattu, Vijay Kumar, Chien, Wai Tong, Chitheer, Abdulaal, Cho, Daniel Youngwhan, McPhee Christensen, Steffan Wittrup, Christopher, Devasahayam J., Chu, Dinh-Toi, Chukwu, Isaac Sunday, Cislaghi, Beniamino, Clark, Scott Richard, Cruz-Martins, Natalia, Cullen, Patricia, Dadras, Omid, Dai, Xiaochen, Damiani, Giovanni, Dandona, Rakhi, Darmstadt, Gary L., Soltani, Reza Darvishi Cheshmeh, Darwesh, Aso Mohammad, Dávila-Cervantes, Claudio Alberto, De Leo, Diego, de Luca, Katie, Demetriades, Andreas K., Demisse, Biniyam, Demisse, Fitsum Wolde, Demissie, Solomon, Desye, Belay, Dharmaratne, Samath Dhamminda, Diress, Mengistie, Djalalinia, Shirin, Dodangeh, Milad, Dongarwar, Deepa, Edinur, Hisham Atan, Eini, Ebrahim, Ekholuenetale, Michael, Elgar, Frank J., Elgendy, Islam Y., Elhabashy, Hala Rashad, Elhadi, Muhammed, El-Huneidi, Waseem, Emamian, Mohammad Hassan, Bain, Luchuo Engelbert, Enyew, Daniel Berhanie, Eshetu, Habitu Birhan, Eskandarieh, Sharareh, Etaee, Farshid, Fagbamigbe, Adeniyi Francis, Faro, Andre, Fasanmi, Abidemi Omolara, Fatehizadeh, Ali, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Ferrara, Pietro, Fetensa, Getahun, Fischer, Florian, Franklin, Richard Charles, Fukumoto, Takeshi, Galali, Yaseen, Galehdar, Nasrin, Gankpe, Fortune Gbetoho, Gebrehiwot, Mesfin, Gebremeskel, Teferi Gebru, Geleta, Leta Adugna, Getachew, Motuma Erena, Ghafourifard, Mansour, Nour, Mohammad Ghasemi, Ghashghaee, Ahmad, Gholamrezanezhad, Ali, Gill, Tiffany K., Ginindza, Themba G., Glasbey, James C., Göbölös, Laszlo, Gohari, Kimiya, Golechha, Mahaveer, Goleij, Pouya, Grivna, Michal, Gunawardane, Damitha Asanga, Gupta, Bhawna, Hall, Brian J., Hamadeh, Randah R., Hamal, Pawan Kumar, Hameed, Sajid, Hamidi, Samer, Hamiduzzaman, Mohammad, Hanif, Asif, Haque, Syed Emdadul, Hargono, Arief, Harlianto, Netanja I., Hartono, Risky Kusuma, Hasaballah, Ahmed I., Hasani, Hamidreza, Hassanian-Moghaddam, Hossein, Hassanipour, Soheil, Hassankhani, Hadi, Hayat, Khezar, Heidari, Mohammad, Hendrie, Delia, Heyi, Demisu Zenbaba, Hiraike, Yuta, Horita, Nobuyuki, Hossain, Mohammad Bellal, Hosseinzadeh, Mehdi, Hoveidaei, Amir Human, Hu, Guoqing, Ilesanmi, Olayinka Stephen, Immurana, Mustapha, Inbaraj, Leeberk Raja, Shariful Islam, Sheikh Mohammed, Islam, Rakibul M., Ismail, Nahlah Elkudssiah, Jagnoor, Jagnoor, Jahrami, Haitham, Jakovljevic, Mihajlo, Jamshidi, Elham, Janodia, Manthan Dilipkumar, Javaheri, Tahereh, Jayapal, Sathish Kumar, Jeganathan, Jayakumar, Jonas, Jost B., Joseph, Nitin, Joukar, Farahnaz, Jürisson, Mikk, Kabir, Ali, Kadashetti, Vidya, Kamath, Rajesh, Kamath, Ashwin, Kamble, Bhushan Dattatray, Kandel, Himal, Kantar, Rami S., Karaye, Ibraheem M., Karkhah, Samad, Kashoo, Faizan Zaffar, Kassa, Bekalu Getnet, Kauppila, Joonas H., Keikavoosi-Arani, Leila, Kemp Bohan, Phillip M., Keykhaei, Mohammad, Khalid, Nauman, Khammarnia, Mohammad, Khan, Moien A.B., Khan, M. Nuruzzaman, Khan, Ejaz Ahmad, Khan, Maseer, Khatatbeh, Moawiah Mohammad, Khubchandani, Jagdish, Kim, Yun Jin, Kim, Gyu Ri, Kisa, Adnan, Kisa, Sezer, Kompani, Farzad, Shivakumar, K.M. Marulasiddaiah Kondlahalli, Koul, Parvaiz A., Koyanagi, Ai, Krishan, Kewal, Krishnamoorthy, Vijay, Kruger, Estie, Bicer, Burcu Kucuk, Kumar, Nithin, Kumar, Narinder, La Vecchia, Carlo, Lam, Hilton, Lami, Faris Hasan, Landires, Iván, Lansingh, Van Charles, Lauriola, Paolo, Dao Le, Long Khanh, Leasher, Janet L., Ledda, Caterina, Lee, Doo Woong, Han Lee, Yo, Lee, Wei-Chen, Makhiringa Likaka, Andrew Tiyamike, Lim, Stephen S., Linn, Shai, Lucchetti, Giancarlo, Lunevicius, Raimundas, Lyons, Ronan A., Abd El Razek, Mohammed Magdy, Prasad, Mahadeshwara, Mahmoudi, Razzagh, Majeed, Azeem, Malagón-Rojas, Jeadran N., Malakan Rad, Elaheh, Malta, Deborah Carvalho, Manla, Yosef, Mansouri, Borhan, Mansournia, Mohammad Ali, Maravilla, Joemer C., Mathews, Elezebeth, Maulik, Pallab K., Mechili, Enkeleint A., Nasab, Entezar Mehrabi, Mendoza, Walter, Mengistu, Dechasa Adare, Mentis, Alexios-Fotios A., Mesregah, Mohamed Kamal, Mestrovic, Tomislav, Miazgowski, Tomasz, Mir, Shabir Ahmad, Mirica, Andreea, Mirrakhimov, Erkin M., Mirza, Moonis, Mohammadi, Soheil, Mohammed, Shafiu, Moitra, Modhurima, Mokdad, Ali H., Molokhia, Mariam, Monasta, Lorenzo, Moradi, Maryam, Morrison, Shane Douglas, Mubarik, Sumaira, Murillo-Zamora, Efren, Mustafa, Ghulam, Fawzy Nabhan, Ashraf, Nangia, Vinay, Ramos Nascimento, Bruno, Natto, Zuhair S., Negoi, Ionut, Nejadghaderi, Seyed Aria, Nena, Evangelia, Nepal, Samata, Nggada, Haruna Asura, Ngunjiri, Josephine W., Nnaji, Chukwudi A., Nzoputam, Ogochukwu Janet, Nzoputam, Chimezie Igwegbe, Oancea, Bogdan, Obamiro, Kehinde O., Odukoya, Oluwakemi Ololade, Oghenetega, Onome Bright, In-Hwan, Oh, Okati-Aliabad, Hassan, Okonji, Osaretin Christabel, Oladunjoye, Adeolu Olufunso, Olagunju, Andrew T., Olana, Diriba Dereje, Bali, Ahmed Omar, Otoiu, Adrian, Owolabi, Mayowa O., Padukudru P A, Mahesh, Padron-Monedero, Alicia, Panda-Jonas, Songhomitra, Pandi-Perumal, Seithikurippu R., Pardhan, Shahina, Eun-Kee, Park, Patel, Jay, Paudel, Uttam, Pawar, Shrikant, Toroudi, Hamidreza Pazoki, Peden, Amy E., Pedersini, Paolo, Pereira, Marcos, Pesudovs, Konrad, Petcu, Ionela-Roxana, Pham, Tom, Phillips, Michael R., Piracha, Zahra Zahid, Polinder, Suzanne, Qattea, Ibrahim, Rafiee, Ata, Raghav, Pankaja, Aziz Rahman, Muhammad, Rahman, Mosiur, Rahmani, Amir Masoud, Rahmanian, Vahid, Ramazanu, Sheena, Rani, Usha, Raru, Temam Beshir, Rashidi, Mohammad-Mahdi, Rastogi, Prateek, Rasul, Azad, Ratan, Zubair Ahmed, Rawassizadeh, Reza, Rezaei, Maryam, Rezaei, Nazila, Rezaeian, Mohsen, Riaz, Muhammad, Rickard, Jennifer, Roberts, Nicholas L.S., Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Ronfani, Luca, Roy, Bedanta, Manjula, S., Chandan, S.N., Sabour, Siamak, Reza Saeb, Mohammad, Saeed, Umar, Safi, Sare, Sahebkar, Amirhossein, Sahiledengle, Biniyam, Ali Sahraian, Mohammad, Salamati, Payman, Sanabria, Juan, Nadeem Saqib, Muhammad Arif, Sarikhani, Yaser, Sarveazad, Arash, Sattin, Davide, Saya, Ganesh Kumar, Schwebel, David C., Seboka, Binyam Tariku, Seidu, Abdul-Aziz, Seylani, Allen, Shah, Pritik A., Shahbandi, Ataollah, Shaheen, Amira A., Shaikh, Masood Ali, Shanawaz, Mohd, Sharew, Nigussie Tadesse, Sharifi, Azam, Sharma, Neeraj, Sharma, Vishal, Shashamo, Bereket Beyene, Sheidaei, Ali, Sheikhi, Rahim Ali, Shen, Jiabin, Shetty, Adithi, Shetty, B. Suresh Kumar, Shiri, Rahman, Shorofi, Seyed Afshin, Shrestha, Roman, Sidamo, Negussie Boti, Silva, Luís Manuel Lopes Rodrigues, Simegn, Wudneh, Singh, Jasvinder A., Singh, Surjit, Singh, Ambrish, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sleet, David A., Socea, Bogdan, Solomon, Yonatan, Song, Yi, Sotoudeh, Houman, Sousa, Raul A.R. C., Stanaway, Jeffrey D., Stein, Dan J., Steiropoulos, Paschalis, Stokes, Mark A., Subedi, Narayan, Sun, Jing, Tabarés-Seisdedos, Rafael, Soodejani, Moslem Taheri, Tampa, Mircea, Tan, Ker-Kan, Tariqujjaman, M.d., Tarkang, Elvis Enowbeyang, Tat, Nathan Y., Tefera, Yibekal Manaye, Thapar, Rekha, Ticoalu, Jansje Henny Vera, Tripathy, Jaya Prasad, Car, Lorainne Tudor, Tufa, Derara Girma, Ullah, Sana, Ullah, Irfan, Umapathi, Krishna Kishore, Upadhyay, Era, Tahbaz, Sahel Valadan, Valdez, Pascual R., Varthya, Shoban Babu, Veroux, Massimiliano, Vervoort, Dominique, Violante, Francesco S., Vlassov, Vasily, Vo, Bay, Waheed, Yasir, Wang, Yanzhong, Wassie, Gizachew Tadesse, Wiangkham, Taweewat, Wilkerson, Caroline, Wolde, Asrat Arja, Xiao, Hong, Yano, Yuichiro, Yaya, Sanni, Ye, Pengpeng, Yip, Paul, Yonemoto, Naohiro, Younis, Mustafa Z., Yu, Chuanhua, Zaki, Leila, Zastrozhin, Michael, Zhang, Yunquan, Zhang, Zhi-Jiang, Zodpey, Sanjay, Naghavi, Mohsen, Larijani, Bagher, and Farzadfar, Farshad

Published
2024
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31. Successful Management of a Typical Class 3 Invasive Cervical Root Resorption with Modified Pulpotomy: A Case Report.

Author

Asgary, Saeed and Roghanizadeh, Leyla

Subjects
INCISORS, PULPOTOMY, MAXILLA, CALCIUM compounds, ROOT resorption (Teeth), ROOT canal treatment, DENTAL cements
Abstract

Invasive cervical root resorption (ICRR) is a rare and clinically complex condition marked by the progressive loss of dental hard tissues below the junctional epithelium. This case report outlines the management of a 32-year-old female patient presenting with ICRR class 3 affecting a maxillary incisor. Despite the absence of symptoms, the expansive nature of the defect warranted conservative surgical intervention. The procedure involved the surgical removal of inflamed tissues, followed by an ultraconservative modified pulpotomy utilizing calcium-enriched mixture (CEM) cement through a surgical window. The selected intervention is substantiated by its potential benefits, such as minimal removal of tooth structure and the inherent biocompatibility and sealing capabilities of CEM cement. A one-year follow-up revealed arrested resorption, reestablishment of periodontal attachment, and successful esthetic restoration, affirming the efficacy of vital pulp therapy in surgically addressing advanced ICRR. Accurate diagnosis, strategic treatment planning, and a patient-centered approach proved critical in achieving favorable outcomes. [ABSTRACT FROM AUTHOR]

Published
2024
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33. A successful case of maturogenesis by stepwise excavation using calcium-enriched mixture cement

Author

Saeed Asgary and Laleh Alim Marvasti

Subjects
apexogenesis, immature molar tooth, stepwise treatment, calcium-enriched mixture cement, pulp capping, Other systems of medicine, RZ201-999
Abstract

This case report demonstrates the successful induction of apexogenesis in an extensively carious lower right first molar with immature roots through the use of stepwise excavation and calcium-enriched mixture (CEM) cement as an indirect pulp capping material. The patient, an 8-year-old boy, presented with pain and carious pulp exposure. The initial treatment involved removing soft dentin and applying CEM cement as an indirect pulp cap. The patient experienced pain relief after 24 h, and subsequent follow-up appointments showed complete healing and maturation of the tooth. The case highlights the potential of indirect pulp treatment with CEM cement and emphasizes the importance of regenerative biomaterials in promoting healing and dentin bridge formation. Further clinical work and research are recommended to explore the efficacy of this treatment approach.

Published
2023
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34. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author

Brauer, Michael, Roth, Gregory A, Aravkin, Aleksandr Y, Zheng, Peng, Abate, Kalkidan Hassen, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abd ElHafeez, Samar, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Mohammad, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abedi, Aidin, Abedi, Armita, Abegaz, Tadesse M, Abeldaño Zuñiga, Roberto Ariel, Abiodun, Olumide, Abiso, Temesgen Lera, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abukhadijah, Hana Jihad Jihad, Aburuz, Salahdein, Abu-Zaid, Ahmed, Adane, Mesafint Molla, Addo, Isaac Yeboah, Addolorato, Giovanni, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Aden, Bashir, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adha, Rishan, Adibi, Amin, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afolabi, Aanuoluwapo Adeyimika, Afolabi, Rotimi Felix, Afshin, Ashkan, Afyouni, Shadi, Afzal, Muhammad Sohail, Afzal, Saira, Agampodi, Suneth Buddhika, Agbozo, Faith, Aghamiri, Shahin, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Noah, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmed, Ali, Ahmed, Anisuddin, Ahmed, Ayman, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Safoora, Ahmed, Syed Anees, Ajami, Marjan, Akalu, Gizachew Taddesse, Akara, Essona Matatom, Akbarialiabad, Hossein, Akhlaghi, Shiva, Akinosoglou, Karolina, Akinyemiju, Tomi, Akkaif, Mohammed Ahmed, Akkala, Sreelatha, Akombi-Inyang, Blessing, Al Awaidy, Salah, Al Hasan, Syed Mahfuz, Alahdab, Fares, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Alam, Nazmul, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albakri, Almaza, AlBataineh, Mohammad T, Aldhaleei, Wafa A, Aldridge, Robert W, Alemayohu, Mulubirhan Assefa, Alemu, Yihun Mulugeta, Al-Fatly, Bassam, Al-Gheethi, Adel Ali Saeed, Al-Habbal, Khairat, Alhabib, Khalid F, Alhassan, Robert Kaba, Ali, Abid, Ali, Amjad, Ali, Beriwan Abdulqadir, Ali, Iman, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Ali, Waad, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Alla, François, Al-Marwani, Sabah, Al-Mekhlafi, Hesham M, Almustanyir, Sami, Alomari, Mahmoud A, Alonso, Jordi, Alqahtani, Jaber S, Alqutaibi, Ahmed Yaseen, Al-Raddadi, Rajaa M, Alrawashdeh, Ahmad, Al-Rifai, Rami Hani, Alrousan, Sahel Majed, Al-Sabah, Salman Khalifah, Alshahrani, Najim Z, Altaany, Zaid, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Alwafi, Hassan, Al-Wardat, Mohammad Sami, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Al-Zyoud, Walid, Amaechi, Uchenna Anderson, Aman Mohammadi, Masous, Amani, Reza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Ammirati, Enrico, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Anderson, Jason A, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Anenberg, Susan C, Angappan, Dhanalakshmi, Angus, Colin, Anil, Abhishek, Anil, Sneha, Anjum, Afifa, Anoushiravani, Amir, Antonazzo, Ippazio Cosimo, Antony, Catherine M, Antriyandarti, Ernoiz, Anuoluwa, Boluwatife Stephen, Anvari, Davood, Anvari, Saeid, Anwar, Saleha, Anwar, Sumadi Lukman, Anwer, Razique, Anyabolo, Ekenedilichukwu Emmanuel, Anyasodor, Anayochukwu Edward, Apostol, Geminn Louis Carace, Arabloo, Jalal, Arabzadeh Bahri, Razman, Arafat, Mosab, Areda, Demelash, Aregawi, Brhane Berhe, Aremu, Abdulfatai, Armocida, Benedetta, Arndt, Michael Benjamin, Ärnlöv, Johan, Arooj, Mahwish, Artamonov, Anton A, Artanti, Kurnia Dwi, Aruleba, Idowu Thomas, Arumugam, Ashokan, Asbeutah, Akram M, Asgary, Saeed, Asgedom, Akeza Awealom, 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Hiba Jawdat, Barrero, Lope H, Barrow, Amadou, Barteit, Sandra, Basharat, Zarrin, Basiru, Afisu, Basso, João Diogo, Bastan, Mohammad-Mahdi, Basu, Sanjay, Batchu, Sai, Batra, Kavita, Batra, Ravi, Baune, Bernhard T, Bayati, Mohsen, Bayileyegn, Nebiyou Simegnew, Beaney, Thomas, Behnoush, Amir Hossein, Beiranvand, Maryam, Béjot, Yannick, Bekele, Alehegn, Belgaumi, Uzma Iqbal, Bell, Arielle Wilder, Bell, Michelle L, Bello, Muhammad Bashir, Bello, Olorunjuwon Omolaja, Belo, Luis, Beloukas, Apostolos, Bendak, Salaheddine, Bennett, Derrick A, Bennitt, Fiona B, Bensenor, Isabela M, Benzian, Habib, Beran, Azizullah, Berezvai, Zombor, Bernabe, Eduardo, Bernstein, Robert S, Bettencourt, Paulo J G, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Dinesh, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Manpreet S, Bhatti, Rajbir, Bhuiyan, Mohiuddin Ahmed, Bhutta, Zulfiqar A, Bikbov, Boris, Bishai, Jessica 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Samer H, Murray, Christopher J L, and Gakidou, Emmanuela

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2024
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35. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

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Schumacher, Austin E, Kyu, Hmwe Hmwe, Aali, Amirali, Abbafati, Cristiana, Abbas, Jaffar, Abbasgholizadeh, Rouzbeh, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed, Abdollahi, Mohammad, Abdoun, Meriem, Abdullahi, Auwal, Abdurehman, Ame Mehadi, Abebe, Mesfin, Abedi, Aidin, Abedi, Armita, Abegaz, Tadesse M, Abeldaño Zuñiga, Roberto Ariel, Abhilash, E S, Abiodun, Olugbenga Olusola, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abrigo, Michael R M, Abtahi, Dariush, Abu Rumeileh, Samir, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Acuna, Juan Manuel, Adair, Tim, Addo, Isaac Yeboah, Adebayo, Oladimeji M, Adegboye, Oyelola A, Adekanmbi, Victor, Aden, Bashir, Adepoju, Abiola Victor, Adetunji, Charles Oluwaseun, Adeyeoluwa, Temitayo Esther, Adeyomoye, Olorunsola Israel, Adha, Rishan, Adibi, Amin, Adikusuma, Wirawan, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afework, Abel, Afolabi, Aanuoluwapo Adeyimika, Afraz, Ali, Afyouni, Shadi, Afzal, Saira, Agasthi, Pradyumna, Aghamiri, Shahin, Agodi, Antonella, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadzade, Amir Mahmoud, Ahmadzade, Mohadese, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Ajumobi, Olufemi, Akalu, Gizachew Taddesse, Akara, Essona Matatom, Akinosoglou, Karolina, Akkala, Sreelatha, Akyirem, Samuel, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Al Homsi, Ammar, Al Qadire, Mohammad, Ala, Moein, Aladelusi, Timothy Olukunle, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Al-Aly, Ziyad, Alam, Khurshid, Alam, Manjurul, Alam, Zufishan, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albashtawy, Mohammed, AlBataineh, Mohammad T, Aldridge, Robert W, Alemi, Sharifullah, Al-Eyadhy, Ayman, Al-Gheethi, Adel Ali Saeed, Alhabib, Khalid F, Alhalaiqa, Fadwa Alhalaiqa Naji, Al-Hanawi, Mohammed Khaled, Ali, Abid, Ali, Akhtar, Ali, Beriwan Abdulqadir, Ali, Hassam, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Ali, Zahid, Alian Samakkhah, Shohreh, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Aligol, Mohammad, Alimi, Rasoul, Aliyi, Ahmednur Adem, Al-Jumaily, Adel, Aljunid, Syed Mohamed, Almahmeed, Wael, Al-Marwani, Sabah, Al-Maweri, Sadeq Ali Ali, Almazan, Joseph Uy, Al-Mekhlafi, Hesham M, Almidani, Omar, Alomari, Mahmoud A, Alonso, Nivaldo, Alqahtani, Jaber S, Alqutaibi, Ahmed Yaseen, Al-Sabah, Salman Khalifah, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Alvi, Farrukh Jawad, Alwafi, Hassan, Al-Worafi, Yaser Mohammed, Aly, Hany, Alzoubi, Karem H, Amare, Azmeraw T, Ameyaw, Edward Kwabena, Amhare, Abebe Feyissa, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Aminian Dehkordi, Javad, Amiri, Sohrab, Amu, Hubert, Amugsi, Dickson A, Amzat, 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L, Ayyoubzadeh, Seyed Mohammad, Azadnajafabad, Sina, Azhar, Gulrez Shah, Aziz, Shahkaar, Azzam, Ahmed Y, Babashahi, Mina, Babu, Abraham Samuel, Badar, Muhammad, Badawi, Alaa, Badiye, Ashish D, Baghdadi, Soroush, Bagheri, Nasser, Bagherieh, Sara, Bah, Sulaiman, Bahadorikhalili, Saeed, Bai, Jianjun, Bai, Ruhai, Baker, Jennifer L, Bakkannavar, Shankar M, Bako, Abdulaziz T, Balakrishnan, Senthilkumar, Balogun, Saliu A, Baltatu, Ovidiu Constantin, Bam, Kiran, Banach, Maciej, Bandyopadhyay, Soham, Banik, Biswajit, Banik, Palash Chandra, Bansal, Hansi, Barati, Shirin, Barchitta, Martina, Bardhan, Mainak, Barker-Collo, Suzanne Lyn, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barr, Ronald D, Barrero, Lope H, Basharat, Zarrin, Bashir, Asma'u I J, Bashiru, Hameed Akande, Baskaran, Pritish, Basnyat, Buddha, Bassat, Quique, Basso, João Diogo, Basu, Saurav, Batra, Kavita, Batra, Ravi, Baune, Bernhard T, Bayati, Mohsen, Bayileyegn, Nebiyou Simegnew, Beaney, Thomas, Bedi, Neeraj, Begum, Tahmina, Behboudi, Emad, Behnoush, Amir Hossein, Beiranvand, Maryam, Bejarano Ramirez, Diana Fernanda, Belgaumi, Uzma Iqbal, Bell, Michelle L, Bello, Aminu K, Bello, Muhammad Bashir, Bello, Olorunjuwon Omolaja, Belo, Luis, Beloukas, Apostolos, Bendak, Salaheddine, Bennett, Derrick A, Bensenor, Isabela M, Benzian, Habib, Berezvai, Zombor, Berman, Adam E, Bermudez, Amiel Nazer C, Bettencourt, Paulo J G, Beyene, Habtamu B, Beyene, Kebede A, Bhagat, Devidas S, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhalla, Ashish, Bhandari, Dinesh, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhardwaj, Prarthna V, Bhargava, Ashish, Bhaskar, Sonu, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Manpreet S, Bhatti, Rajbir, Bhutta, Zulfiqar A, Bikbov, Boris, Binmadi, Nada, Bintoro, Bagas Suryo, Biondi, Antonio, Bisignano, Catherine, Bisulli, Francesca, Biswas, Atanu, Biswas, Raaj Kishore, Bitaraf, Saeid, Bjørge, Tone, Bleyer, Archie, Boampong, Mary Sefa, Bodolica, Virginia, Bodunrin, Aadam Olalekan, 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2024
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36. Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

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Bhattacharjee, Natalia V, Schumacher, Austin E, Aali, Amirali, Abate, Yohannes Habtegiorgis, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abd-Elsalam, Sherief, Abdollahi, Mohammad, Abdollahifar, Mohammad-Amin, Abdoun, Meriem, Abdullahi, Auwal, Abebe, Mesfin, Abebe, Samrawit Shawel, Abiodun, Olumide, Abolhassani, Hassan, Abolmaali, Meysam, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abrigo, Michael R M, Abtahi, Dariush, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Adal, Tadele Girum Girum, Adane, Mesafint Molla, Adeagbo, Oluwafemi Atanda Adeagbo, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Aden, Bashir, Adepoju, Abiola Victor, Adetokunboh, Olatunji O, Adetunji, Juliana Bunmi, Adeyinka, Daniel Adedayo, Adeyomoye, Olorunsola Israel, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afolabi, Rotimi Felix, Afyouni, Shadi, Afzal, Muhammad Sohail, Afzal, Saira, Aghamiri, Shahin, Agodi, Antonella, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahlstrom, Austin J, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Tauseef, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Meqdad Saleh, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Akalu, Gizachew Taddesse, Akbarialiabad, Hossein, Akinyemi, Rufus Olusola, Akkaif, Mohammed Ahmed, Akkala, Sreelatha, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Al Qadire, Mohammad, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albakri, Almaza, Albashtawy, Mohammed, AlBataineh, Mohammad T, Alemi, Hediyeh, Alemi, Sharifullah, Alemu, Yihun Mulugeta, Al-Eyadhy, Ayman, Al-Gheethi, Adel Ali Saeed, Alhabib, Khalid F, Alhajri, Noora, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Abid, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Alif, Sheikh Mohammad, Aligol, Mohammad, Alijanzadeh, Mehran, Aljasir, Mohammad A M, Aljunid, Syed Mohamed, Al-Marwani, Sabah, Almazan, Joseph Uy, Al-Mekhlafi, Hesham M, Almidani, Omar, Alomari, Mahmoud A, Al-Omari, Basem, Alqahtani, Jaber S, Alqutaibi, Ahmed Yaseen, Al-Raddadi, Rajaa M, Al-Sabah, Salman Khalifah, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvi, Farrukh Jawad, Alvis-Guzman, Nelson, Alwafi, Hassan, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amini-Rarani, Mostafa, Amiri, Sohrab, Ampomah, Irene Gyamfuah, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Anil, Abhishek, Anil, Sneha, Ansar, Adnan, Ansari-Moghaddam, Alireza, Antony, Catherine M, Antriyandarti, Ernoiz, Anvari, Saeid, ANWAR, 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Madhan, Baltatu, Ovidiu Constantin, Bam, Kiran, Banach, Maciej, Bandyopadhyay, Soham, Banik, Biswajit, Banik, Palash Chandra, Bansal, Hansi, Baran, Mehmet Firat, Barchitta, Martina, Bardhan, Mainak, Bardideh, Erfan, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barrow, Amadou, Barteit, Sandra, Basharat, Zarrin, Bashir, Asma'u I J, Bashiru, Hameed Akande, Basiru, Afisu, Basso, João Diogo, Basu, Sanjay, Batiha, Abdul-Monim Mohammad, Batra, Kavita, Baune, Bernhard T, Bayati, Mohsen, Begum, Tahmina, Behboudi, Emad, Behnoush, Amir Hossein, Beiranvand, Maryam, Bejarano Ramirez, Diana Fernanda, Bekele, Alehegn, Belay, Sefealem Assefa, Belgaumi, Uzma Iqbal, Bell, Michelle L, Bello, Olorunjuwon Omolaja, Beloukas, Apostolos, Bensenor, Isabela M, Berezvai, Zombor, Berhie, Alemshet Yirga, Bermudez, Amiel Nazer C, Bettencourt, Paulo J G, Bhagavathula, Akshaya Srikanth, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhardwaj, Prarthna V, Bhaskar, Sonu, 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Sarmiento-Suárez, Rodrigo, Sarode, Gargi Sachin, Sarode, Sachin C, Sarveazad, Arash, Sathian, Brijesh, Sathish, Thirunavukkarasu, Sathyanarayan, Anudeep, Sayeed, Abu, Sayeed, Md Abu, Scarmeas, Nikolaos, Schlee, Winfried, Schuermans, Art, Schwebel, David C, Schwendicke, Falk, Selvaraj, Siddharthan, Sengupta, Pallav, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Serban, Dragos, Serván-Mori, Edson, Sethi, Yashendra, SeyedAlinaghi, SeyedAhmad, Seyedi, Seyed Arsalan, Seylani, Allen, Shafie, Mahan, Shah, Jaffer, Shah, Pritik A, Shahbandi, Ataollah, Shahid, Samiah, Shahwan, Moyad Jamal, Shaikh, Ahmed, Shaikh, Masood Ali, Shamim, Muhammad Aaqib, Shams-Beyranvand, Mehran, Shamsi, Mohammad Anas, Shanawaz, Mohd, Shankar, Abhishek, Shannawaz, Mohammed, Sharath, Medha, Sharfaei, Sadaf, Sharifan, Amin, Sharifi-Rad, Javad, Sharma, Manoj, Sharma, Rajesh, Sharma, Ujjawal, Sharma, Vishal, Shastry, Rajesh P, Shavandi, Amin, Shaw, David H, Shayan, Amir Mehdi, Shayan, Maryam, Shehabeldine, Amr Mohamed Elsayed, Sheikh, Aziz, Sheikhi, Rahim Ali, Shenoy, Manjunath Mala, Shetty, Pavanchand H, Shi, Peilin, Shiferaw, Desalegn, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shittu, Aminu, Shivarov, Velizar, Shokraneh, Farhad, Shool, Sina, Shorofi, Seyed Afshin, Shuja, Kanwar Hamza, Shuval, Kerem, Siddig, Emmanuel Edwar, Silva, João Pedro, Silva, Luís Manuel Lopes Rodrigues, Silva, Soraia, Simonetti, Biagio, Singal, Anjali, Singh, Abhinav, Singh, Balbir Bagicha, Singh, Jasvinder A, Siraj, Md Shahjahan, Smith, Georgia, Socea, Bogdan, Sokhan, Anton, Solanki, Ranjan, Solanki, Shipra, Soleimani, Hamidreza, Soliman, Sameh S M, Solomon, Yonatan, Song, Yimeng, Sorensen, Reed J D, Spartalis, Michael, Sreeramareddy, Chandrashekhar T, Srivastava, Vijay Kumar, Stanikzai, Muhammad Haroon, Starodubov, Vladimir I, Starodubova, Antonina V, Stefan, Simona Cătălina, Steiropoulos, Paschalis, Stokes, Mark A, Subramaniyan, Vetriselvan, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sun, Jing, Swain, Chandan Kumar, Sykes, Bryan L, Szarpak, Lukasz, Szeto, Mindy D, Szócska, Miklós, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabb, Karen M, Tabish, Mohammad, Taheri Soodejani, Moslem, Taiba, Jabeen, Tajbakhsh, Ardeshir, Talaat, Iman M, Talukder, Ashis, Tampa, Mircea, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tang, Haosu, Tareke, Derbie Alemu DA, Tariku, Mengistie Kassahun, Tat, Vivian Y, Tavangar, Seyed Mohammad, Teimoori, Mojtaba, Temsah, Mohamad-Hani, Temsah, Reem Mohamad Hani, Teramoto, Masayuki, Terefa, Dufera Rikitu, Tesler, Riki, Teye-Kwadjo, Enoch, Thakur, Ramna, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Tharwat, Samar, Thayakaran, Rasiah, Thomas, Nihal, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tiruye, Tenaw Yimer, Titova, Mariya Vladimirovna, Tonelli, Marcello, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tran, Jasmine T, Tran, Nghia Minh, Trihandini, Indang, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Tyrovolas, Stefanos, Uddin, Sayed Mohammad Nazim, Udoakang, Aniefiok John, Udoh, Arit, Ullah, Atta, Ullah, Saeed, Ullah, Sana, Umakanthan, Srikanth, Umeokonkwo, Chukwuma David, Unim, Brigid, Unnikrishnan, Bhaskaran, Upadhyay, Era, Usman, Jibrin Sammani, Vacante, Marco, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Valizadeh, Rohollah, Van den Eynde, Jef, Varavikova, Elena, Varga, Orsolya, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vellingiri, Balachandar, Venugopal, Deneshkumar, Verghese, Nicholas Alexander, Verma, Madhur, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Vinayak, Manish, Violante, Francesco S, Vishwakarma, Mukesh, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Volovat, Simona Ruxandra, Vos, Theo, Vujcic, Isidora S, Wafa, Hatem A, Waheed, Yasir, Wakwoya, Elias Bekele, Wang, Cong, Wang, Denny, Wang, Fang, Wang, Shu, Wang, Yanzhong, Wang, Yuan-Pang, Ward, Paul, Wassie, Emebet Gashaw, Watson, Stefanie, Weaver, Marcia R, Weerakoon, Kosala Gayan, Weiss, Daniel J, Wells, Katherine M, Wen, Yi Feng, Westerman, Ronny, Wiangkham, Taweewat, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Willeit, Peter, Wondimagegene, Yohannes Addisu, Wu, Felicia, Xia, Juan, Xiao, Hong, Xu, Gelin, Xu, Suowen, Xu, Xiaoyue, Yadollahpour, Ali, Yaghoobpoor, Shirin, Yaghoobpour, Tina, Yaghoubi, Sajad, Yahaya, Zwanden Sule, Yang, Danting, Yang, Lin, Yano, Yuichiro, Yaribeygi, Habib, Ye, Pengpeng, Yesodharan, Renjulal, Yesuf, Subah Abderehim, Yezli, Saber, Yigezu, Amanuel, Yip, Paul, Yon, Dong Keon, Yonemoto, Naohiro, You, Yuyi, Younis, Mustafa Z, Yousefi, Zabihollah, Yu, Chuanhua, Yu, Yong, Yuan, Chun-Wei, Zafari, Nima, Zakham, Fathiah, Zaki, Nazar, Zamagni, Giulia, Zandi, Milad, Zandieh, Ghazal G Z, Zangiabadian, Moein, Zastrozhin, Mikhail Sergeevich, Zhang, Haijun, Zhang, Meixin, Zhang, Yunquan, Zhong, Chenwen, Zhou, Juexiao, Zhu, Bin, Zhu, Lei, Zielińska, Magdalena, Zou, Zhiyong, Zyoud, Samer H, Murray, Christopher J L, Smith, Amanda E, and Vollset, Stein Emil

Published
2024
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40. IDENTIFICATION OF KNOWLEDGE ENABLERS FOR SURVIVAL AND DEVELOPMENT STRATEGIES: A CASE STUDY AT BRAZILIAN ELECTRICAL SECTOR/IDENTIFICACAO DOS CAPACITADORES DO CONHECIMENTO PARA AS ESTRATEGIAS DE SOBREVIVENCIA E DE DESENVOLVIMENTO: UM ESTUDO DE CASO NO SETOR ELETRICO BRASILEIRO/IDENTIFICACION DE HABILITADORES DE CONOCIMIENTO PARA ESTRATEGIAS DE SUPERVIVENCIA Y DESARROLLO: UN ESTUDIO DE CASO ..

Author

Carvalho, Sergio Geraldo da Fonseca, de Vasconcelos, Maria Celeste Reis Lobo, Jeunon, Ester Eliane, Dufloth, Simone Cristina, and Asgary, Nader

Published
2023

41. Study the effect of ion type on the transport properties of implanted tantalum interfaces of multilayer structures

Author

Amir hoshang Ramezani, Somayeh Asgary, and Zhaleh Ebrahiminezhad

Subjects
tantalum thin film, roughness, Physics, QC1-999
Abstract

In this paper, the effect of ion type has been considered to study transport through the structures in which their interfaces have been produced by the ion implantation process. The interfaces are tantalum based and the argon and nitrogen ions have been considered at an energy of 30 keV and in different doses at ambient temperatures. For studying the surface morphology of the ion implanted rough thin films, The Atomic Force Microscopy (AFM) analysis has been used. The average roughness has been determined. Decreasing the transmission probability is the main outcome of the rough interfaces/samples. The results show that the interfaces which have been produced by argon ion implantation are rougher than nitrogen cases. Also, the peak to valley ratio reduces in two cases. Moreover, with increasing nitrogen ion doses, the current density has been reduced as a function of voltage. As it is predicted, the transmission probability decreases because of the rough interfaces which have been generated by ion implantation process. As a consequence of the scattering process (because of the interfacial roughness), the resonant tunneling peak current decreases and also, the peak to valley ratio (PVR) reduces. The samples which were prepared by argon ion implantation were rougher than nitrogen ones. Also, with increasing the nitrogen ion doses, the current density has been decreased as a function of voltage.

Published
2023
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42. Twitter-based gender recognition using transformers

Author

Zahra Movahedi Nia, Ali Ahmadi, Bruce Mellado, Jianhong Wu, James Orbinski, Ali Asgary, and Jude D. Kong

Subjects
bert, electra, gender recognition, levit, roberta, social media, swin transformer, transformers, vit, Biotechnology, TP248.13-248.65, Mathematics, QA1-939
Abstract

Social media contains useful information about people and society that could help advance research in many different areas of health (e.g. by applying opinion mining, emotion/sentiment analysis and statistical analysis) such as mental health, health surveillance, socio-economic inequality and gender vulnerability. User demographics provide rich information that could help study the subject further. However, user demographics such as gender are considered private and are not freely available. In this study, we propose a model based on transformers to predict the user's gender from their images and tweets. The image-based classification model is trained in two different methods: using the profile image of the user and using various image contents posted by the user on Twitter. For the first method a Twitter gender recognition dataset, publicly available on Kaggle and for the second method the PAN-18 dataset is used. Several transformer models, i.e. vision transformers (ViT), LeViT and Swin Transformer are fine-tuned for both of the image datasets and then compared. Next, different transformer models, namely, bidirectional encoders representations from transformers (BERT), RoBERTa and ELECTRA are fine-tuned to recognize the user's gender by their tweets. This is highly beneficial, because not all users provide an image that indicates their gender. The gender of such users could be detected from their tweets. The significance of the image and text classification models were evaluated using the Mann-Whitney U test. Finally, the combination model improved the accuracy of image and text classification models by 11.73 and 5.26% for the Kaggle dataset and by 8.55 and 9.8% for the PAN-18 dataset, respectively. This shows that the image and text classification models are capable of complementing each other by providing additional information to one another. Our overall multimodal method has an accuracy of 88.11% for the Kaggle and 89.24% for the PAN-18 dataset and outperforms state-of-the-art models. Our work benefits research that critically require user demographic information such as gender to further analyze and study social media content for health-related issues.

Published
2023
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43. Leveraging an epidemic–economic mathematical model to assess human responses to COVID-19 policies and disease progression

Author

Wisdom S. Avusuglo, Nicola Bragazzi, Ali Asgary, James Orbinski, Jianhong Wu, and Jude Dzevela Kong

Subjects
Medicine, Science
Abstract

Abstract It is imperative that resources are channelled towards programs that are efficient and cost effective in combating the spread of COVID-19, the disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). This study proposed and analyzed control strategies for that purpose. We developed a mathematical disease model within an optimal control framework that allows us to investigate the best approach for curbing COVID-19 epidemic. We address the following research question: what is the role of community compliance as a measure for COVID-19 control? Analyzing the impact of community compliance of recommended guidelines by health authorities—examples, social distancing, face mask use, and sanitizing—coupled with efforts by health authorities in areas of vaccine provision and effective quarantine—showed that the best intervention in addition to implementing vaccination programs and effective quarantine measures, is the active incorporation of individuals’ collective behaviours, and that resources should also be directed towards community campaigns on the importance of face mask use, social distancing, and frequent sanitizing, and any other collective activities. We also demonstrated that collective behavioral response of individuals influences the disease dynamics; implying that recommended health policy should be contextualized.

Published
2023
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44. Fire Risk Analysis Using the FSES Method in a Educational Hospitals of Qazvin University of Medical Sciences in 2022

Author

Mahshid Asgary, Vida Zaroushani, Mehran Ghalenoei, and Yousef Akbari

Subjects
fire, hospital, safety, risk assessment, nfpa 101 a, Environmental pollution, TD172-193.5
Abstract

Introduction: Fire in hospitals and medical centers can lead to unfortunate and dire accidents due to the immobility of most patients, the presence of expensive medical equipment, and the essential role of hospitals in providing health services to people. This study aims to increase fire safety in a healthcare training center in Qazvin. Material and Methods: The latest NFPA 101A was used for fire risk assessment in seven departments of an educational hospital in Qazvin City in 2021-2022. The study calculated the residential risk factor for residents of each area, examined fire safety parameters and determined their risk factor, calculated the obtained points of the area under evaluation, determined the minimum required points in different areas of fire safety, and estimated the fire risk level. Results: ICU 1 and 2 departments, CCU 1 and 2, central warehouse, pharmacy warehouse, and hospital facilities were selected for fire risk assessment. The ICU building had the best condition with a total fire safety point of 21.1. The facility building, with a total fire safety point of -14.5, was in the worst condition. Conclusion: The results showed the need for more attention from researchers to conduct studies in outdoor environments, in various parts of the country, on development and validation of novel heat stress indices, and on implementation and evaluation of control measures in environments with high heat stress.

Published
2023

45. Complex adaptive systems-based framework for modeling the health impacts of climate change

Author

Byomkesh Talukder, Jochen E. Schubert, Mohammadali Tofighi, Patrick J. Likongwe, Eunice Y. Choi, Gibson Y. Mphepo, Ali Asgary, Martin J. Bunch, Sosten S. Chiotha, Richard Matthew, Brett F. Sanders, Keith W. Hipel, Gary W. vanLoon, and James Orbinski

Subjects
Climate change, Health, Ecological services, Extreme weather, Infectious disease, Food security, Public aspects of medicine, RA1-1270, Meteorology. Climatology, QC851-999
Abstract

Introduction: Climate change is a global phenomenon with far-reaching consequences, and its impact on human health is a growing concern. The intricate interplay of various factors makes it challenging to accurately predict and understand the implications of climate change on human well-being. Conventional methodologies have limitations in comprehensively addressing the complexity and nonlinearity inherent in the relationships between climate change and health outcomes. Objectives: The primary objective of this paper is to develop a robust theoretical framework that can effectively analyze and interpret the intricate web of variables influencing the human health impacts of climate change. By doing so, we aim to overcome the limitations of conventional approaches and provide a more nuanced understanding of the complex relationships involved. Furthermore, we seek to explore practical applications of this theoretical framework to enhance our ability to predict, mitigate, and adapt to the diverse health challenges posed by a changing climate. Methods: Addressing the challenges outlined in the objectives, this study introduces the Complex Adaptive Systems (CAS) framework, acknowledging its significance in capturing the nuanced dynamics of health effects linked to climate change. The research utilizes a blend of field observations, expert interviews, key informant interviews, and an extensive literature review to shape the development of the CAS framework. Results and discussion: The proposed CAS framework categorizes findings into six key sub-systems: ecological services, extreme weather, infectious diseases, food security, disaster risk management, and clinical public health. The study employs agent-based modeling, using causal loop diagrams (CLDs) tailored for each CAS sub-system. A set of identified variables is incorporated into predictive modeling to enhance the understanding of health outcomes within the CAS framework. Through a combination of theoretical development and practical application, this paper aspires to contribute valuable insights to the interdisciplinary field of climate change and health. Integrating agent-based modeling and CLDs enhances the predictive capabilities required for effective health outcome analysis in the context of climate change. Conclusion: This paper serves as a valuable resource for policymakers, researchers, and public health professionals by employing a CAS framework to understand and assess the complex network of health impacts associated with climate change. It offers insights into effective strategies for safeguarding human health amidst current and future climate challenges.

Published
2024
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48. Successful Management of a Rare Distant Endodontic Lesion: A Case Report.

Author

Eghbal, Mohammad Jafar, Parhizkar, Ardavan, and Asgary, Saeed

Subjects
DENTAL radiography, ENDODONTICS, ODONTOGENIC tumors, RARE diseases, COMPUTED tomography, DISEASES, PANORAMIC radiography, DENTAL pulp cavities, REOPERATION, MANDIBLE
Abstract

The current case report aims to document a rare presentation of a distant odontogenic lesion of a 35-year-old male patient with mild clinical discomfort in the mandibular right first molar; exploring the diagnostic and therapeutic intricacies of an uncommon distant endodontic pathosis ultimately resolved through meticulous nonsurgical retreatment. Despite a normal oral examination, diagnostic radiography revealed a suboptimal root canal treatment and apical lesions surrounding mesial- and distal-root apices; including a distinct radiolucency beneath the apex of the second mandibular molar discovered through panoramic radiography, and confirmed via cone-beam computed tomography. In addition, the computed tomography disclosed a previously unreported and unusually large endodontic lesion that extended toward the mandibular canal; highlighting a necessity for the continued exploration of a unique endodontic presentation. A nonsurgical endodontic retreatment led to a remarkable reduction in the radiolucent lesions within one year; emphasizing the significance of comprehensive diagnostic approaches and individualized treatments. [ABSTRACT FROM AUTHOR]

Published
2024
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49. Apical Periodontitis in Vital and Nonvital Teeth: Clinical and Radiographic Features.

Author

Asgary, Saeed, Aminoshariae, Anita, and Wesselink, Paul R.

Subjects
DIABETES complications, DENTAL pulp, CARDIOVASCULAR diseases, PERIAPICAL diseases, TREATMENT effectiveness, PULPOTOMY, ROOT canal treatment, QUALITY assurance, PREGNANCY complications, EARLY diagnosis, PERIODONTITIS, ORAL health, DISEASE complications, SYMPTOMS
Abstract

Apical periodontitis (AP) is a common inflammatory condition predominantly caused by the response of the immune system to microbial invasion within the root canal system. Contrary to conventional perception, AP may occur in vital teeth with inflamed pulp; adding complexity to diagnosis and treatment. AP, due to its frequent lack of symptoms and reliance on radiographic evaluation for detection, often presents diagnostic challenges. In addition, AP pathogenesis involves complex interactions between microbial virulence and host immune response at the cellular and molecular levels. Comprehensive diagnostic procedures, including patient history, clinical examination, and radiographic evaluation, are essential for early detection and necessary intervention, with the recognition of clinical signs and symptoms underscoring the importance of regular dental evaluations. The current review primarily discusses the radiographic and clinical features of AP in vital and non-vital teeth; introducing a new taxonomic classification to improve diagnostic precision and treatment outcomes. Moreover, it proposes different treatment categories/options for the management of AP, based on pulp status as well as clinical and radiographic findings; emphasizing vital pulp therapy and root canal treatment for vital and non-vital teeth with AP, respectively. Furthermore, the global and regional epidemiology of AP is presented, along with its association with systemic health conditions; e.g., cardiovascular diseases, diabetes mellitus, and adverse pregnancy outcomes. Moreover, future research directions are advocated to improve the efficacy and predictability of diagnosis and treatments; paving the path for clinicians in early detection, accurate diagnosis, and effective management of AP to enhance oral health outcomes. [ABSTRACT FROM AUTHOR]

Published
2024
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50. A Virtual Reality Simulation of a Real Landslide for Education and Training: Case of Chiradzulu, Malawi, 2023 Landslide.

Author

Asgary, Ali, Hassan, Ali, and Corrin, Tricia

Subjects
VIRTUAL reality, LANDSLIDES, EMERGENCY management, NATURAL disasters
Abstract

Virtual reality (VR) is a promising new educational and training tool in the field of disaster and emergency management, especially for hazards that are not frequent or well known to the public and require spatial and situational understanding. The objective of this paper is to describe an educational VR simulation that was developed based on a landslide that really occurred in Southern Malawi during the March 2023 Cyclone Freddy. The cyclone induced several landslides that caused many casualties and significant damage. The VR simulation framework consisted of four critical steps using Unity3D for the creation of the simulation including data preparation, terrain and environmental modeling, landslide simulation development, and virtual reality interactions. The simulation scenarios were diversified to include three distinct landscapes that can help users learn how factors such as terrain can influence landslide impacts. The VR simulation offers users an intimate, firsthand experience of the landslide's unfolding and allows users the ability to explore various facets of the landslide phenomena. This VR simulation aims to provide an educational tool to facilitate an in-depth understanding of and interaction with a real-word landslide to learn about the impacts of landslides and how different factors can influence these impacts. [ABSTRACT FROM AUTHOR]

Published
2024
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