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103. Speech Separation Using Gain-Adapted Factorial Hidden Markov Models

Author

Radfar, Martin H., Dansereau, Richard M., and Wong, Willy

Subjects
Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

We present a new probabilistic graphical model which generalizes factorial hidden Markov models (FHMM) for the problem of single-channel speech separation (SCSS) in which we wish to separate the two speech signals $X(t)$ and $V(t)$ from a single recording of their mixture $Y(t)=X(t)+V(t)$ using the trained models of the speakers' speech signals. Current techniques assume the data used in the training and test phases of the separation model have the same loudness. In this paper, we introduce GFHMM, gain adapted FHMM, to extend SCSS to the general case in which $Y(t)=g_xX(t)+g_vV(t)$, where $g_x$ and $g_v$ are unknown gain factors. GFHMM consists of two independent-state HMMs and a hidden node which model spectral patterns and gain difference, respectively. A novel inference method is presented using the Viterbi algorithm and quadratic optimization with minimal computational overhead. Experimental results, conducted on 180 mixtures with gain differences from 0 to 15~dB, show that the proposed technique significantly outperforms FHMM and its memoryless counterpart, i.e., vector quantization (VQ)-based SCSS.

Published
2019

105. Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019

Author

Momtazmanesh, Sara, Moghaddam, Sahar Saeedi, Ghamari, Seyyed-Hadi, Rad, Elaheh Malakan, Rezaei, Negar, Shobeiri, Parnian, Aali, Amirali, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelmasseh, Michael, Abdoun, Meriem, Abdulah, Deldar Morad, Md Abdullah, Abu Yousuf, Abedi, Aidin, Abolhassani, Hassan, Abrehdari-Tafreshi, Zahra, Achappa, Basavaprabhu, Adane Adane, Denberu Eshetie, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adnan, Mohammad, Sakilah Adnani, Qorinah Estiningtyas, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Keivan, Ahmed, Ali, Ahmed, Ayman, Rashid, Tarik Ahmed, Al Hamad, Hanadi, Alahdab, Fares, Alemayehu, Astawus, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Almustanyir, Sami, Altirkawi, Khalid A., Alvis-Guzman, Nelson, Dehkordi, Javad Aminian, Amir-Behghadami, Mehrdad, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Antony, Catherine M., Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arulappan, Judie, Ashraf, Tahira, Athari, Seyyed Shamsadin, Attia, Engi F., Ayele, Meshesha Tsegazeab, Azadnajafabad, Sina, Babu, Abraham Samuel, Bagherieh, Sara, Baltatu, Ovidiu Constantin, Banach, Maciej, Bardhan, Mainak, Barone-Adesi, Francesco, Barrow, Amadou, Basu, Saurav, Bayileyegn, Nebiyou Simegnew, Bensenor, Isabela M., Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhat, Ajay Nagesh, Bhattacharyya, Krittika, Bouaoud, Souad, Braithwaite, Dejana, Brauer, Michael, Butt, Muhammad Hammad, Butt, Zahid A., Calina, Daniela, Cámera, Luis Alberto, Chanie, Gashaw Sisay, Charalampous, Periklis, Chattu, Vijay Kumar, Chimed-Ochir, Odgerel, Chu, Dinh-Toi, Cohen, Aaron J., Cruz-Martins, Natália, Dadras, Omid, Darwesh, Aso Mohammad, Das, Saswati, Debela, Sisay Abebe, Delgado-Ortiz, Laura, Dereje, Diriba, Dianatinasab, Mostafa, Diao, Nancy, Diaz, Daniel, Digesa, Lankamo Ena, Dirirsa, Gebisa, Doku, Paul Narh, Dongarwar, Deepa, Douiri, Abdel, Dsouza, Haneil Larson, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, Mustafa Elagali, Ahmed Elabbas, Elhadi, Muhammed, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Etaee, Farshid, Fagbamigbe, Adeniyi Francis, Faro, Andre, Fatehizadeh, Ali, Fekadu, Ginenus, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Franklin, Richard Charles, Gaal, Peter Andras, Gaihre, Santosh, Gaipov, Abduzhappar, Gebrehiwot, Mesfin, Gerema, Urge, Getachew, Motuma Erena, Getachew, Tamiru, Ghafourifard, Mansour, Ghanbari, Reza, Ghashghaee, Ahmad, Gholami, Ali, Gil, Artyom Urievich, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Guadie, Habtamu Alganeh, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Hadei, Mostafa, Halwani, Rabih, Hanif, Asif, Hargono, Arief, Harorani, Mehdi, Hartono, Risky Kusuma, Hasani, Hamidreza, Hashi, Abdiwahab, Hay, Simon I., Heidari, Mohammad, Hellemons, Merel E., Herteliu, Claudiu, Holla, Ramesh, Horita, Nobuyuki, Hoseini, Mohammad, Hosseinzadeh, Mehdi, Huang, Junjie, Hussain, Salman, Hwang, Bing-Fang, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ibrahim, Sufyan, Ilesanmi, Olayinka Stephen, Ilic, Irena M., Ilic, Milena D., Immurana, Mustapha, Ismail, Nahlah Elkudssiah, Merin J, Linda, Jakovljevic, Mihajlo, Jamshidi, Elham, Janodia, Manthan Dilipkumar, Javaheri, Tahereh, Jayapal, Sathish Kumar, Jayaram, Shubha, Jha, Ravi Prakash, Johnson, Olatunji, Joo, Tamas, Joseph, Nitin, Jozwiak, Jacek Jerzy, K, Vaishali, Kaambwa, Billingsley, Kabir, Zubair, Kalankesh, Laleh R., Kalhor, Rohollah, Kandel, Himal, Karanth, Shama D., Karaye, Ibraheem M., Kassa, Bekalu Getnet, Kassie, Gizat M., Keikavoosi-Arani, Leila, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Imteyaz A., Khan, Moien A.B., Khan, Yusra H., Khreis, Haneen, Kim, Min Seo, Kisa, Adnan, Kisa, Sezer, Knibbs, Luke D., Kolkhir, Pavel, Komaki, Somayeh, Kompani, Farzad, Koohestani, Hamid Reza, Koolivand, Ali, Korzh, Oleksii, Koyanagi, Ai, Krishan, Kewal, Krohn, Kris J., Kumar, Naveen, Kumar, Nithin, Kurmi, Om P., Kuttikkattu, Ambily, La Vecchia, Carlo, Lám, Judit, Lan, Qing, Lasrado, Savita, Latief, Kamaluddin, Lauriola, Paolo, Lee, Sang-woong, Lee, Yo Han, Legesse, Samson Mideksa, Lenzi, Jacopo, Li, Ming-Chieh, Lin, Ro-Ting, Liu, Gang, Liu, Wei, Lo, Chun-Han, Lorenzovici, László, Lu, Yifei, Mahalingam, Soundarya, Mahmoudi, Elham, Mahotra, Narayan B., Malekpour, Mohammad-Reza, Malik, Ahmad Azam, Mallhi, Tauqeer Hussain, Malta, Deborah Carvalho, Mansouri, Borhan, Mathews, Elezebeth, Maulud, Sazan Qadir, Mechili, Enkeleint A., Nasab, Entezar Mehrabi, Menezes, Ritesh G., Mengistu, Dechasa Adare, Mentis, Alexios-Fotios, Meshkat, Mahboobeh, Mestrovic, Tomislav, Micheletti Gomide Nogueira de Sá, Ana Carolina, Mirrakhimov, Erkin M., Misganaw, Awoke, Mithra, Prasanna, Moghadasi, Javad, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadshahi, Marita, Mohammed, Shafiu, Mohan, Syam, Moka, Nagabhishek, Monasta, Lorenzo, Moni, Mohammad Ali, Moniruzzaman, Md, Montazeri, Fateme, Moradi, Maryam, Mostafavi, Ebrahim, Mpundu-Kaambwa, Christine, Murillo-Zamora, Efrén, Murray, Christopher J.L., Nair, Tapas Sadasivan, Nangia, Vinay, Swamy, Sreenivas Narasimha, Narayana, Aparna Ichalangod, Natto, Zuhair S., Nayak, Biswa Prakash, Negash, Wogene Wogene, Nena, Evangelia, Kandel, Sandhya Neupane, Niazi, Robina Khan, Nogueira de Sá, Antonio Tolentino, Nowroozi, Ali, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Odukoya, Oluwakemi Ololade, Okati-Aliabad, Hassan, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T., Bali, Ahmed Omar, Ostojic, Sergej M., A, Mahesh P., Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Pahlevan Fallahy, Mohammad Taha, Palicz, Tamás, Pana, Adrian, Park, Eun-Kee, Patel, Jay, Paudel, Rajan, Paudel, Uttam, Pedersini, Paolo, Pereira, Marcos, Pereira, Renato B., Petcu, Ionela-Roxana, Pirestani, Majid, Postma, Maarten J., Prashant, Akila, Rabiee, Mohammad, Radfar, Amir, Rafiei, Sima, Rahim, Fakher, Ur Rahman, Mohammad Hifz, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Shayan, Rahmanian, Vahid, Rajput, Prashant, Rana, Juwel, Rao, Chythra R., Rao, Sowmya J., Rashedi, Sina, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Mohamed Redwan, Elrashdy Moustafa, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Nima, Rezaeian, Mohsen, Rodrigues, Mónica, Buendia Rodriguez, Jefferson Antonio, Roever, Leonardo, Rojas-Rueda, David, Rudd, Kristina E., Saad, Aly M.A., Sabour, Siamak, Saddik, Basema, Sadeghi, Erfan, Sadeghi, Masoumeh, Saeed, Umar, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Sajid, Mirza Rizwan, Sakhamuri, Sateesh, Salehi, Sana, Samy, Abdallah M., Santric-Milicevic, Milena M., Sao Jose, Bruno Piassi, Sathian, Brijesh, Satpathy, Maheswar, Saya, Ganesh Kumar, Senthilkumaran, Subramanian, Seylani, Allen, Shahabi, Saeed, Shaikh, Masood Ali, Shanawaz, Mohd, Shannawaz, Mohammed, Sheikhi, Rahim Ali, Shekhar, Shashank, Sibhat, Migbar Mekonnen, Simpson, Colin R., Singh, Jasvinder A., Singh, Paramdeep, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Soltani-Zangbar, Mohammad Sadegh, Song, Suhang, Soyiri, Ireneous N., Steiropoulos, Paschalis, Stockfelt, Leo, Sun, Jing, Takahashi, Ken, Talaat, Iman M., Tan, Ker-Kan, Tat, Nathan Y., Tat, Vivian Y., Taye, Birhan Tsegaw, Thangaraju, Pugazhenthan, Thapar, Rekha, Thienemann, Friedrich, Tiyuri, Amir, Ngoc Tran, Mai Thi, Tripathy, Jaya Prasad, Car, Lorainne Tudor, Tusa, Biruk Shalmeno, Ullah, Irfan, Ullah, Sana, Vacante, Marco, Valdez, Pascual R., Valizadeh, Rohollah, van Boven, Job F.M., Vasankari, Tommi Juhani, Vaziri, Siavash, Violante, Francesco S., Vo, Bay, Wang, Ning, Wei, Melissa Y., Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Xu, Suowen, Xu, Xiaoyue, Yadav, Lalit, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Chuanhua, Yu, Yong, Yunusa, Ismaeel, Zahir, Mazyar, Zangiabadian, Moein, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zegeye, Zelalem Banjaw, Zhang, Yunquan, Naghavi, Mohsen, Larijani, Bagher, and Farzadfar, Farshad

Published
2023
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116. Atherosclerosis Imaging

Author

Radfar, Azar, Abohashem, Shady, Osborne, Michael T., Tawakol, Ahmed, Pelletier-Galarneau, Matthieu, editor, and Martineau, Patrick, editor

Published
2022
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118. Research & Development of Digital Marketing and Innovation in Commercial Automotive Industry

Author

Lashgari, Soraya, Abedi, Sadegh, Radfar, Reza, and Iranban, Javad

Subjects
G. Industry, profession and education., GA. Information industry.
Abstract

Automotive industry particularly, commercial automotive industry, ranks as a key industry in the economic growth. The necessity of investigating the research & development(R & D) activities of digital marketing and innovation in the form of a dynamic system in automotive industry based on the 3 variables: empowerment of supply network, of product innovation, and of digital marketing is quite undisputed. The present research has been done with a view to identifying and evaluating the cause-and-effect interdependent relations governing the variables of R & D of digital marketing and innovation in commercial automotive industry. The research is typically applied, and has been done using the descriptive-survey method. The research community consisted of 50 experts; all with acceptable academic backgrounds and years of experience as executive managers and marketeers in the R & D of automotive industry. To analyze the data, the views of some elected experts on automotive industry, along with Delphi fuzzy and Dematel method were applied. Our findings showed that the variable “Intensity of R & D of digital marketing and innovation” has the most effect on the other variables. The variable “Empowerment of supply network” with the score of 3,25 has the largest amount of interaction with the other variables. Also, the variable “ Empowerment of R & D in digital marketing and innovation” with the score of 1,08 has the smallest amount of interaction with the other variables.

Published
2023

119. The Model of Performance Predictors of Independent Commercialization Strategy in the Iranian Bio-Pharmaceutical Industry

Author

Roya Shakeri, Reza Radfar, Nazanin Pilevari, and Seyyed Sepehr Ghazi-Nouri

Subjects
bio-pharmaceutical industry, independent strategy, commercialization performance, Political institutions and public administration (General), JF20-2112
Abstract

AbstractMedical or therapeutic biology is dedicated to the development of research tools, diagnosis, development and delivery of drugs and vaccines through the use of cellular systems or processes and biological molecules. A very important strategic choice of companies in the biological drug industry is technology trading strategy. Independent commercialization strategy is recognized as one of the trade drugs in the world. The purpose of the present study is to identify predictions for the performance of independent commercialization strategy in Iran's biological industry using a comprehensive method. In this method, after the filtering of the articles, finally 42 studies that directly addressed the performance of independent commercialization in biological drugs entered the analysis phase of the Maxicioda software. After the combination of 68 distinct passwords, and at higher abstraction levels of the passwords in the form of 9 themes (strategic orientation, technology commercialization intelligence, R&D capability, product development knowledge integration, commercialization (production and marketing), The state -supporting mechanism of government and ownership regimes, formal integration and environmental dynamics were set. In order to construct the conceptual model of the research, they were extracted based on the component output, predictive structures of independent trading strategy, how the structures communication, and their measurement indicators were extracted. The validity of the proposed model based on the country's biotechnology experts with the Lavos content validity method and the minimum square minimum technique is: Independent commercial strategy performance predictions with a 91% determination coefficient include: Official integrity and integrity. Innovation, strategic orientation, technology commercialization, R&D capability, production capability and marketing.IntroductionBiotechnology is an important part of the society and economy of Iran. In the world, 140 drugs are produced from biotechnology, of which 16 are the most commonly used drugs. Nowadays 9 biotechnology and vaccine drugs such as hepatitis B drugs and various types of interferons (alpha, gamma and beta) are produced inside the country, producing 250 billion tomans worth of currency savings for the country. About $ 8 billion worth of biotechnology imports into the country are expected to cost $ 150 billion annually, which is expected to increase by about 900-800 billion USD annually. Biotechnology drugs are expensive drugs and if we can plan to produce these drugs in the next five years, we have to pay a thousand billion dollars for the import of such drugs, which will disrupt the health and medicine system of the country. This implicitly implies the necessity of commercialization, the formulation of commercialization strategies, and the successful performance of commercialization strategies in the field of biotechnology (Kebriaeezadeh et al., 2010). The question that is posed is that the predictors (determinants) of the operation of the independent commercialization strategy in Iran's bio-environmental industry?Case StudyIn the present research, the industry of biological drugs in Iran has been studied.Materials and MethodThe present study is based on the results of development; on the basis of purpose, explanatory-descriptive and based on the type of data is quantitative and the research quality is a hypothesis test. The design of the research has been done according to the five-step approach presented by McKinsey et al. (1999). Accordingly, the research stages are as follows: the design of the research includes the explanation of the problem and the review of the theoretical background; the formulation of a conceptual framework and the determination of the components and relevant indicators; validation of the research including general validation, validation of the research tool and data collection; analysis and Data analysis; Reporting the results of the research including summarizing the findings of research and writing the analyzes of the researchers.Results and DiscussionConsidering the content validity ratios calculated, in the conceptual model, the predictors of the performance of the independent commercialization strategy, the factors; the strategic orientation, the formal and informal integration of research units with the units of production and marketing, the ability to R & D, commercialization and intelligence of technology commercialization are the determinants of the operation of an independent commercialization strategy in the country's biotechnology industry.According to the model of performance prediction of independent commercialization strategy in the country's biotechnology industry, the following hypotheses have been developed.Hypothesis 1. There is a significant relationship between BI-technology intelligence and the performance of the development of a new biological medicine.Hypothesis 2. There is a significant relationship between the integrity (formal and informal) and the performance of the development of the new biological drug.Hypothesis 3. There is a significant relationship between firm strategic orientation and technology commercialization intelligence.Hypothesis 4. There is a significant relationship between the R & D capability and the performance of the new biological drug development.Hypothesis 5. There is a significant relationship between the commercialization (production and marketing) of the firm and the performance of the development of the new biological drug.Hypothesis 6. There is a significant relationship between R & D capability and commercialization (production and marketing) capabilities of the firm.ConclusionConsidering the significant relationships between the structure of the company's research and development capability, the structure of the enterprise's commercialization (production and marketing), the strategic directional structure of the firm, the formal and informal integration structure, the technology intelligence technology intelligence structure with the performance of the new product development, It can be said that in the case of: the existence of a suitable R & D workforce, proportional investment in R & D, and ..., we can expect a successful performance (the realization of new product objectives; new product life cycle management; the success of engaging in business activities; Making technology in comparison with direct rivals of the company; a significant increase in corporate revenues versus commercialization revenues Direct use; the company's more successful use of technology commercialization for strategic purposes in comparison with its competitors; providing unique features to customers; increasing the number of patents obtained from the new product development program; receiving good returns to costs; The program used for the new product development program and the competitiveness of the new product in the market) had an independent commercialization strategy.

Published
2022
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120. Investigation and Sensitivity analysis of experimental methods for estimating evaporation from free surface of Choghakhor lake

Author

Mahdi Salami, Behzad Ghorbani, Mahdi Radfar, and Hosein Samadi Borojeni

Subjects
sensitivity analysis, evaporation, free water surface, choghakhor lake, Hydraulic engineering, TC1-978, Irrigation engineering. Reclamation of wasteland. Drainage, TC801-978
Abstract

Evaporation losses from free surface water in reservoir dams are one of the important processes in meteorology and hydrology. Each experimental methods estimates the evaporation based on the climatic conditions of each region. For this reason, calibration of the relationship between evaporation estimates in different regions are required (Vanzyl et al., 1989). experimental methods are common in engineering sciences. Most scholars, by modifying experimental methods and discovering new relationships, try to find a simple and high-level relationship to replace with the field methods. More than 50 experimental relationships have been proposed for estimating evapotranspiration by various researchers (Naorem and Devi, 2014). Despite the importance of evaporation in hydrology, less attention has been paid to it. However, with the correct estimation, it can be applied in water resource planning with fewer errors (Saadatkhah et al., 2002).In this research, the experimental methods of Mayer, Marciano, Shahthin, Henfer, Ivanov and USBR have been used to study the evaporation from the free surface of the Choghakhor lake, located in Chaharmahal and Bakhtiari province of Iran. The results have been compared with actual evaporation values from the free surface.

Published
2022
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121. Assessment of the Knowledge and Quality of the Practice of Proper Foot Care in Iranian Patients With Type 2 Diabetes

Author

Faraz Ghayoumi, Mania Radfar, Mohammad Reza Mohajeri Tehrani, and Mahila Monajati

Subjects
diabetic foot, self-care, type 2 diabetes mellitus, Therapeutics. Pharmacology, RM1-950
Abstract

Background: Uncontrolled diabetes can lead to a high rate of complications. Diabetic foot ulcer (DFU) leads to significant morbidity. However, DFU can be prevented and managed through foot care education for patients. Objectives: The current study aimed to evaluate the knowledge and practice routines of patients with type 2 diabetes (T2DM) regarding foot care. Methods: A questionnaire was designed to obtain patients’ demographic data, evaluate their risk for a foot ulcer, and assess their level of knowledge and practice about daily foot care. After confirming the validity and reliability of the questionnaire, 200 T2DM patients were interviewed. Results: The mean age was 61.1±11.7 years, and 64% were males. Forty-five percent of patients were previously educated regarding foot care. More than 50% of patients answered questions correctly. Calculations demonstrated the mean score of knowledge and practice as 6.3±2 (out of 11) and 14.2±3.4 (out of 20), respectively. There was no correlation between the patient’s age, gender, or history of previous DFU and their knowledge and practice level. However, patients’ higher level of education or employment status was associated with a higher level of knowledge and practice than their other respective groups. Conclusion: In this study, patients had a medium to low level of foot care knowledge and a medium to a high level of daily foot care practice. However, these results also emphasize the importance of the need for organized and structured educational programs for diabetic patients regarding diabetic foot care.

Published
2022

122. Drivers Affecting Bitcoin Adoption as a Payment Mechanism in the Tourism Industry

Author

Mehdi Daryaei, Reza Radfar, Javad Jassbi, and Abbass Khamseh

Subjects
bitcoin, tourism, blockchain, technology adoption, fuzzy dematel, alternative payment mechanism, Finance, HG1-9999, Capital. Capital investments, HD39-40.7
Abstract

While travelers' desire to visit the world's most remote places has grown, the inefficiency of global payments indicates a significant barrier to tourism growth. As an emerging, decentralized, and borderless digital innovation, Bitcoin technology seems to have the ability to serve as a payment alternative and address such fundamental inefficiencies. On the other hand, bitcoin adoption can only happen when tourists and business owners choose to operate bitcoin simultaneously. The study has developed a novel Bitcoin Collaborative Network and Tourism Collaborative Network model to examine Bitcoin adoption factors. Then a fuzzy DEMATEL method was applied to the factors influencing the adoption domain, as identified based on an extensive literature review, in-depth interviews, and an international Delphi process. The study offered a model for the heterogeneous collaborative network of Bitcoin and Tourism (BCN and TCN), revealing that Perceived Usefulness is the most influencing criterion and the most prominent variable in Bitcoin Adoption. Bitcoin Technological Complexity, Government Regulatory, and Bitcoin Awareness are the factors that give the highest impacts. Also, Bitcoin's Technological Complexity is the most significant factor in bitcoin adoption. The findings might assist businesses in adopting a new market expansion strategy and benefiting from technological spillover, while government officials can explore new supporting legislation.

Published
2022
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123. Effective E-Business Strategy Development Model or Combined BS and BI Approach to Improve Productivity

Author

Mostafa Kolahdoozi, Reza Radfar, and MohammadAli Afshar Kazemi

Subjects
strategy, e-business, business continuity management, business intelligence, Management. Industrial management, HD28-70
Abstract

Changing the business environment and increasing the complexity of organizational decisions are important issues that organizations can use e-commerce to deal with. The successful deployment of e-commerce depends on the existence of specific strategies without which all the efforts of the organization may fail. Therefore, the success of establishing and implementing e-commerce lies in the application of appropriate strategic management. In line with this issue, the present study was an attempt to develop an effective e-business strategy development model or combined BS and BI approach to improve productivity. In this applied study, expert systems were used. Finally, based on the results and considering two components of business continuity management and business intelligence, some strategies have been proposed to draw attention to strategic planning in e-business.

Published
2022
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124. Artificial Intelligence, COVID-19, Infectious Diseases, Internet of Things, Machine Learning

Author

Seyedeh Zohreh Hosseini, Reza Radfar, Amir Ashkan Nasiripour, and Ali Rajabzade

Subjects
artificial intelligence, covid-19, infectious diseases, internet of things, machine learning, Information technology, T58.5-58.64, Information theory, Q350-390
Abstract

Objectives: The development of information technology and its use in the health system have undertaken numerous measures for the protection and promotion of human health. However, long-term threats and the recurrence of infectious diseases are still the challenges in the world. Management of infectious diseases is of paramount importance in the global health system and is very complicated. Therefore, the aim of this research is designing a model to predict the covid-19 using artificial intelligence, which will ultimately be useful for rapid detection and control of Covid-19.Methods: To design a proposed model to analyze the spread of infectious diseases, an intelligent system is presented by combining mathematical dimensions, machine learning, and epidemiology. In this research, the target disease is COVID-19 due to its importance and epidemic. Despite extensive research on this disease, each study focused on a specific area due to its extensive dimension, and no detailed study is available on the main aspects of the disease. The research method is interpretive and exploratory in terms of paradigm and strategy, respectively, and is classified as descriptive-prescriptive in terms of implementation. The research was carried out in a seven-step process.Results: The results of the systematic review showed the rapid growth of documents since 2015, which can indicate the application of various fields of information technology such as the Internet of Things and machine learning in the field of public health and prevention of infectious diseases.In the algorithm, K values from 1 to 20 neighborhoods were calculated and the best accuracy was obtained at K equal to 2. Therefore, the accuracy of the algorithm is higher than 98% to predict the disease of Covid-19. After calculating the accuracy, the analysis of the confusion matrix showed that in K equal to 2, the sensitivity is 99% and the specificity is 92%.Conclusions: A comparison of algorithm results shows that in addition to accuracy, sensitivity and specificity obtained for algorithm are higher than traditional methods of diagnosing infectious diseases. Also, due to not having unnecessary complex features that only increase the model implementation time, the algorithm runs in a few minutes, and therefore the detection speed is completely acceptable. High sensitivity (99%) was obtained in the DT algorithm, which is very important for the diagnosis of COVID-19 and indicates the minimum number of false negatives in the test results. Therefore, the proposed algorithm is practical for the purpose of identifying the maximum number of people infected with Covid-19.

Published
2022
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126. Author Correction: Genome-wide association study identifies Sjögren’s risk loci with functional implications in immune and glandular cells

Author

Bhuwan Khatri, Kandice L. Tessneer, Astrid Rasmussen, Farhang Aghakhanian, Tove Ragna Reksten, Adam Adler, Ilias Alevizos, Juan-Manuel Anaya, Lara A. Aqrawi, Eva Baecklund, Johan G. Brun, Sara Magnusson Bucher, Maija-Leena Eloranta, Fiona Engelke, Helena Forsblad-d’Elia, Stuart B. Glenn, Daniel Hammenfors, Juliana Imgenberg-Kreuz, Janicke Liaaen Jensen, Svein Joar Auglænd Johnsen, Malin V. Jonsson, Marika Kvarnström, Jennifer A. Kelly, He Li, Thomas Mandl, Javier Martín, Gaétane Nocturne, Katrine Brække Norheim, Øyvind Palm, Kathrine Skarstein, Anna M. Stolarczyk, Kimberly E. Taylor, Maria Teruel, Elke Theander, Swamy Venuturupalli, Daniel J. Wallace, Kiely M. Grundahl, Kimberly S. Hefner, Lida Radfar, David M. Lewis, Donald U. Stone, C. Erick Kaufman, Michael T. Brennan, Joel M. Guthridge, Judith A. James, R. Hal Scofield, Patrick M. Gaffney, Lindsey A. Criswell, Roland Jonsson, Per Eriksson, Simon J. Bowman, Roald Omdal, Lars Rönnblom, Blake Warner, Maureen Rischmueller, Torsten Witte, A. Darise Farris, Xavier Mariette, Marta E. Alarcon-Riquelme, PRECISESADS Clinical Consortium, Caroline H. Shiboski, Sjögren’s International Collaborative Clinical Alliance (SICCA), Marie Wahren-Herlenius, Wan-Fai Ng, UK Primary Sjögren’s Syndrome Registry, Kathy L. Sivils, Indra Adrianto, Gunnel Nordmark, and Christopher J. Lessard

Subjects
Science
Published
2023
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127. Loneliness and academic performance mediates the relationship between fear of missing out and smartphone addiction among Iranian university students

Author

Vahid Alinejad, Naser Parizad, Malakeh Yarmohammadi, and Moloud Radfar

Subjects
FoMO, Social network, Messaging applications, Smartphone addiction, Loneliness, Academic performance, Psychiatry, RC435-571
Abstract

Abstract Background Fear of missing out (FoMO) can increase loneliness and smartphone addiction and decrease academic performance in university students. Most studies investigated the relationship between FoMO and smartphone addiction in developed countries, and no studies were found to examine this association in Iran. The mediating role of loneliness and academic performance in the relationship between FoMO and smartphone addiction is unclear. This study investigated the relationship between FoMO and smartphone addiction and the mediating role of loneliness and academic performance in this relationship in Iranian university students. Methods In this cross-sectional study, 447 students from Urmia University of Medical Sciences were investigated. Data were collected using demographic questionnaires, Przybylski's FoMO scale, Pham and Taylor's academic performance questionnaire, Russell's loneliness scale, and Kwon's smartphone addiction scale. Data were analyzed using SPSS ver. 23 and SmartPLS ver. 2. Results FoMO had a positive and direct association with smartphone addiction (β = 0.315, t-value = 5.152, p 0.05). FoMO also indirectly correlated with academic performance through students' loneliness (β =—0.368, t-value = 6.377, p

Published
2022
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128. Genome-wide association study identifies Sjögren’s risk loci with functional implications in immune and glandular cells

Author

Bhuwan Khatri, Kandice L. Tessneer, Astrid Rasmussen, Farhang Aghakhanian, Tove Ragna Reksten, Adam Adler, Ilias Alevizos, Juan-Manuel Anaya, Lara A. Aqrawi, Eva Baecklund, Johan G. Brun, Sara Magnusson Bucher, Maija-Leena Eloranta, Fiona Engelke, Helena Forsblad-d’Elia, Stuart B. Glenn, Daniel Hammenfors, Juliana Imgenberg-Kreuz, Janicke Liaaen Jensen, Svein Joar Auglænd Johnsen, Malin V. Jonsson, Marika Kvarnström, Jennifer A. Kelly, He Li, Thomas Mandl, Javier Martín, Gaétane Nocturne, Katrine Brække Norheim, Øyvind Palm, Kathrine Skarstein, Anna M. Stolarczyk, Kimberly E. Taylor, Maria Teruel, Elke Theander, Swamy Venuturupalli, Daniel J. Wallace, Kiely M. Grundahl, Kimberly S. Hefner, Lida Radfar, David M. Lewis, Donald U. Stone, C. Erick Kaufman, Michael T. Brennan, Joel M. Guthridge, Judith A. James, R. Hal Scofield, Patrick M. Gaffney, Lindsey A. Criswell, Roland Jonsson, Per Eriksson, Simon J. Bowman, Roald Omdal, Lars Rönnblom, Blake Warner, Maureen Rischmueller, Torsten Witte, A. Darise Farris, Xavier Mariette, Marta E. Alarcon-Riquelme, PRECISESADS Clinical Consortium, Caroline H. Shiboski, Sjögren’s International Collaborative Clinical Alliance (SICCA), Marie Wahren-Herlenius, Wan-Fai Ng, UK Primary Sjögren’s Syndrome Registry, Kathy L. Sivils, Indra Adrianto, Gunnel Nordmark, and Christopher J. Lessard

Subjects
Science
Abstract

The genetic architecture underlying Sjögren’s syndrome is not fully understood. Here, the authors perform a genome-wide association study to identify 10 new genetic risk regions, implicating genes involved in immune and salivary gland function.

Published
2022
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129. Global mortality associated with 33 bacterial pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019

Author

Ikuta, Kevin S, Swetschinski, Lucien R, Robles Aguilar, Gisela, Sharara, Fablina, Mestrovic, Tomislav, Gray, Authia P, Davis Weaver, Nicole, Wool, Eve E, Han, Chieh, Gershberg Hayoon, Anna, Aali, Amirali, Abate, Semagn Mekonnen, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abd-Elsalam, Sherief, Abebe, Getachew, Abedi, Aidin, Abhari, Amir Parsa, Abidi, Hassan, Aboagye, Richard Gyan, Absalan, Abdorrahim, Abubaker Ali, Hiwa, Acuna, Juan Manuel, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Afzal, Saira, Aghdam, Zahra Babaei, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Ali, Ahmed, Haroon, Ahmed, Jivan Qasim, Ahmed Rashid, Tarik, Ajami, Marjan, Aji, Budi, Akbarzadeh-Khiavi, Mostafa, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fares, Al-Aly, Ziyad, Aldeyab, Mamoon A, Aleman, Alicia V, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Alizadeh, Atiyeh, Aljunid, Syed Mohamed, Allel, Kasim, Almustanyir, Sami, Ameyaw, Edward Kwabena, Amit, Arianna Maever L, Anandavelane, Nivedita, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Anggraini, Dewi, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Areda, Demelash, Aripov, Timur, Artamonov, Anton A, Arulappan, Judie, Aruleba, Raphael Taiwo, Asaduzzaman, Muhammad, Ashraf, Tahira, Athari, Seyyed Shamsadin, Atlaw, Daniel, Attia, Sameh, Ausloos, Marcel, Awoke, Tewachew, Ayala Quintanilla, Beatriz Paulina, Ayana, Tegegn Mulatu, Azadnajafabad, Sina, Azari Jafari, Amirhossein, B, Darshan B, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagherieh, Sara, Baig, Atif Amin, Banerjee, Indrajit, Barac, Aleksandra, Bardhan, Mainak, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barrow, Amadou, Baskaran, Pritish, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Bedi, Neeraj, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bender, Rose G, Bhandari, Bharti, Bhandari, Dinesh, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhattarai, Suraj, Bitaraf, Saeid, Buonsenso, Danilo, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cai, Jiao, Calina, Daniela, Camargos, Paulo, Cámera, Luis Alberto, Cárdenas, Rosario, Cevik, Muge, Chadwick, Joshua, Charan, Jaykaran, Chaurasia, Akhilanand, Ching, Patrick R, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chowdhury, Fazle Rabbi, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Dadras, Omid, Dagnaw, Fentaw Teshome, Dai, Xiaochen, Das, Saswati, Dastiridou, Anna, Debela, Sisay Abebe, Demisse, Fitsum Wolde, Demissie, Solomon, Dereje, Diriba, Derese, Msganaw, Desai, Hardik Dineshbhai, Dessalegn, Fikadu Nugusu, Dessalegni, Samuel Abebe A, Desye, Belay, Dhaduk, Kartik, Dhimal, Meghnath, Dhingra, Sameer, Diao, Nancy, Diaz, Daniel, Djalalinia, Shirin, Dodangeh, Milad, Dongarwar, Deepa, Dora, Bezabih Terefe, Dorostkar, Fariba, Dsouza, Haneil Larson, Dubljanin, Eleonora, Dunachie, Susanna J, Durojaiye, Oyewole Christopher, Edinur, Hisham Atan, Ejigu, Habtamu Bekele, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El-Abid, Hassan, Elhadi, Muhammed, Elmonem, Mohamed A, Emami, Amir, Engelbert Bain, Luchuo, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eshrati, Babak, Etaee, Farshid, Fagbamigbe, Adeniyi Francis, Falahi, Shahab, Fallahzadeh, Aida, Faraon, Emerito Jose A, Fatehizadeh, Ali, Fekadu, Ginenus, Fernandes, João C, Ferrari, Allegra, Fetensa, Getahun, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Gaal, Peter Andras, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Ganesan, Balasankar, Gebrehiwot, Mesfin, Ghanbari, Reza, Ghasemi Nour, Mohammad, Ghashghaee, Ahmad, Gholamrezanezhad, Ali, Gholizadeh, Abdolmajid, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Goodridge, Amador, Gunawardane, Damitha Asanga, Guo, Yuming, Gupta, Rajat Das, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Guta, Alemu, Habibzadeh, Parham, Haddadi Avval, Atlas, Halwani, Rabih, Hanif, Asif, Hannan, Md. Abdul, Harapan, Harapan, Hassan, Shoaib, Hassankhani, Hadi, Hayat, Khezar, Heibati, Behzad, Heidari, Golnaz, Heidari, Mohammad, Heidari-Soureshjani, Reza, Herteliu, Claudiu, Heyi, Demisu Zenbaba, Hezam, Kamal, Hoogar, Praveen, Horita, Nobuyuki, Hossain, Md Mahbub, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hoveidamanesh, Soodabeh, Huang, Junjie, Hussain, Salman, Hussein, Nawfal R, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Inbaraj, Leeberk Raja, Iradukunda, Arnaud, Ismail, Nahlah Elkudssiah, Iwu, Chidozie C D, Iwu, Chinwe Juliana, J, Linda Merin, Jakovljevic, Mihajlo, Jamshidi, Elham, Javaheri, Tahereh, Javanmardi, Fatemeh, Javidnia, Javad, Jayapal, Sathish Kumar, Jayarajah, Umesh, Jebai, Rime, Jha, Ravi Prakash, Joo, Tamas, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kacimi, Salah Eddine Oussama, Kadashetti, Vidya, Kalankesh, Laleh R, Kalhor, Rohollah, Kamal, Vineet Kumar, Kandel, Himal, Kapoor, Neeti, Karkhah, Samad, Kassa, Bekalu Getnet, Kassebaum, Nicholas J, Katoto, Patrick DMC, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Abbas, Khan, Imteyaz A, Khan, Maseer, Khan, Md Nuruzzaman, Khan, Moien AB, Khatatbeh, Moawiah Mohammad, Khater, Mona M, Khayat Kashani, Hamid Reza, Khubchandani, Jagdish, Kim, Hanna, Kim, Min Seo, Kimokoti, Ruth W, Kissoon, Niranjan, Kochhar, Sonali, Kompani, Farzad, Kosen, Soewarta, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Krapp Lopez, Fiorella, Krishan, Kewal, Krishnamoorthy, Vijay, Kulkarni, Vishnutheertha, Kumar, Naveen, Kurmi, Om P, Kuttikkattu, Ambily, Kyu, Hmwe Hmwe, Lal, Dharmesh Kumar, Lám, Judit, Landires, Iván, Lasrado, Savita, Lee, Sang-woong, Lenzi, Jacopo, Lewycka, Sonia, Li, Shanshan, Lim, Stephen S, Liu, Wei, Lodha, Rakesh, Loftus, Michael J, Lohiya, Ayush, Lorenzovici, László, Lotfi, Mojgan, Mahmoodpoor, Ata, Mahmoud, Mansour Adam, Mahmoudi, Razzagh, Majeed, Azeem, Majidpoor, Jamal, Makki, Alaa, Mamo, Galana Ayana, Manla, Yosef, Martorell, Miquel, Matei, Clara N, McManigal, Barney, Mehrabi Nasab, Entezar, Mehrotra, Ravi, Melese, Addisu, Mendoza-Cano, Oliver, Menezes, Ritesh G, Mentis, Alexios-Fotios A, Micha, Georgia, Michalek, Irmina Maria, Micheletti Gomide Nogueira de Sá, Ana Carolina, Milevska Kostova, Neda, Mir, Shabir Ahmad, Mirghafourvand, Mojgan, Mirmoeeni, Seyyedmohammadsadeq, Mirrakhimov, Erkin M, Mirza-Aghazadeh-Attari, Mohammad, Misganaw, Abay Sisay, Misganaw, Awoke, Misra, Sanjeev, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadian-Hafshejani, Abdollah, Mohammed, Shafiu, Mohan, Syam, Mohseni, Mohammad, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moore, Catrin E, Moradi, Maryam, Moradi Sarabi, Mostafa, Morrison, Shane Douglas, Motaghinejad, Majid, Mousavi Isfahani, Haleh, Mousavi Khaneghah, Amin, Mousavi-Aghdas, Seyed Ali, Mubarik, Sumaira, Mulita, Francesk, Mulu, Getaneh Baye B, Munro, Sandra B, Muthupandian, Saravanan, Nair, Tapas Sadasivan, Naqvi, Atta Abbas, Narang, Himanshi, Natto, Zuhair S, Naveed, Muhammad, Nayak, Biswa Prakash, Naz, Shumaila, Negoi, Ionut, Nejadghaderi, Seyed Aria, Neupane Kandel, Sandhya, Ngwa, Che Henry, Niazi, Robina Khan, Nogueira de Sá, Antonio Tolentino, Noroozi, Nafise, Nouraei, Hasti, Nowroozi, Ali, Nuñez-Samudio, Virginia, Nutor, Jerry John, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Ojha, Vivek Anand, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olusanya, Bolajoko Olubukunola, Omar Bali, Ahmed, Omer, Emad, Otstavnov, Nikita, Oumer, Bilcha, P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Palicz, Tamás, Pana, Adrian, Pardhan, Shahina, Paredes, Jose L, Parekh, Utsav, Park, Eun-Cheol, Park, Seoyeon, Pathak, Ashish, Paudel, Rajan, Paudel, Uttam, Pawar, Shrikant, Pazoki Toroudi, Hamidreza, Peng, Minjin, Pensato, Umberto, Pepito, Veincent Christian Filipino, Pereira, Marcos, Peres, Mario F P, Perico, Norberto, Petcu, Ionela-Roxana, Piracha, Zahra Zahid, Podder, Indrashis, Pokhrel, Nayanum, Poluru, Ramesh, Postma, Maarten J, Pourtaheri, Naeimeh, Prashant, Akila, Qattea, Ibrahim, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Raeghi, Saber, Rafiei, Sima, Raghav, Pankaja Raghav, Rahbarnia, Leila, Rahimi-Movaghar, Vafa, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmanian, Vahid, Ram, Pradhum, Ranjha, Muhammad Modassar Ali Nawaz, Rao, Sowmya J, Rashidi, Mohammad-Mahdi, Rasul, Azad, Ratan, Zubair Ahmed, Rawaf, Salman, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Redwan, Elrashdy Moustafa Mohamed, Regasa, Misganu Teshoma, Remuzzi, Giuseppe, Reta, Melese Abate, Rezaei, Nazila, Rezapour, Aziz, Riad, Abanoub, Ripon, Rezaul Karim, Rudd, Kristina E, Saddik, Basema, Sadeghian, Saeid, Saeed, Umar, Safaei, Mohsen, Safary, Azam, Safi, Sher Zaman, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Salahi, Saina, Salahi, Sarvenaz, Salari, Hedayat, Salehi, Sana, Samadi Kafil, Hossein, Samy, Abdallah M, Sanadgol, Nima, Sankararaman, Senthilkumar, Sanmarchi, Francesco, Sathian, Brijesh, Sawhney, Monika, Saya, Ganesh Kumar, Senthilkumaran, Subramanian, Seylani, Allen, Shah, Pritik A, Shaikh, Masood Ali, Shaker, Elaheh, Shakhmardanov, Murad Ziyaudinovich, Sharew, Mequannent Melaku, Sharifi-Razavi, Athena, Sharma, Purva, Sheikhi, Rahim Ali, Sheikhy, Ali, Shetty, Pavanchand H, Shigematsu, Mika, Shin, Jae Il, Shirzad-Aski, Hesamaddin, Shivakumar, K M, Shobeiri, Parnian, Shorofi, Seyed Afshin, Shrestha, Sunil, Sibhat, Migbar Mekonnen, Sidemo, Negussie Boti, Sikder, Mustafa Kamal, Silva, Luís Manuel Lopes Rodrigues, Singh, Jasvinder A, Singh, Paramdeep, Singh, Surjit, Siraj, Md Shahjahan, Siwal, Samarjeet Singh, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Socea, Bogdan, Solomon, Damtew Damtew, Song, Yimeng, Sreeramareddy, Chandrashekhar T, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Saima, Szócska, Miklós, Tabatabaeizadeh, Seyed-Amir, Tabish, Mohammad, Taheri, Majid, Taki, Elahe, Tan, Ker-Kan, Tandukar, Sarmila, Tat, Nathan Y, Tat, Vivian Y, Tefera, Belay Negash, Tefera, Yibekal Manaye, Temesgen, Gebremaryam, Temsah, Mohamad-Hani, Tharwat, Samar, Thiyagarajan, Arulmani, Tleyjeh, Imad I, Troeger, Christopher E, Umapathi, Krishna Kishore, Upadhyay, Era, Valadan Tahbaz, Sahel, Valdez, Pascual R, Van den Eynde, Jef, van Doorn, H. Rogier, Vaziri, Siavash, Verras, Georgios-Ioannis, Viswanathan, Harimadhav, Vo, Bay, Waris, Abdul, Wassie, Gizachew Tadesse, Wickramasinghe, Nuwan Darshana, Yaghoubi, Sajad, Yahya, Gahin Abdulraheem Tayib Yahya, Yahyazadeh Jabbari, Seyed Hossein, Yigit, Arzu, Yiğit, Vahit, Yon, Dong Keon, Yonemoto, Naohiro, Zahir, Mazyar, Zaman, Burhan Abdullah, Zaman, Sojib Bin, Zangiabadian, Moein, Zare, Iman, Zastrozhin, Mikhail Sergeevich, Zhang, Zhi-Jiang, Zheng, Peng, Zhong, Chenwen, Zoladl, Mohammad, Zumla, Alimuddin, Hay, Simon I, Dolecek, Christiane, Sartorius, Benn, Murray, Christopher J L, and Naghavi, Mohsen

Published
2022
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132. Identification of the socio-cultural barriers of drug addiction treatment in Iran

Author

Emran Razaghi, Ali Farhoudian, Azam Pilevari, Alireza Noroozi, Zahra Hooshyari, Ramin Radfar, and Mohsen Malekinejad

Subjects
Qualitative study, Barriers, Substance-related disorders, Treatment, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

Introduction: Socio-cultural norms can either be encouraging or a barrier to addiction treatment. More, rigorous research is needed on nonindigenous models in addiction treatment, to better understand the role of socio-cultural differences. Methods: The present qualitative study is part of the project, “The Inclusive Assessment of the Barriers of Drug Addiction Treatment Services in Iran,” which was conducted in Tehran from 2018 to 2021. The participants consisted of eight people who used drugs, seven individual family members of the people who used drugs participants, seven service providers, and four policymakers. A purposeful sampling method was used for the selection of the participants, and the process continued until reaching the theoretical saturation of data. Analysis used the Graneheim and Lundman methods, classifying primary codes, the sub-themes, and themes were classified according to the similarities and differences between primary codes. Finding: The most important socio-cultural barriers to addiction treatment in Iran are: unrealistic expectations of the family and society from the people who use drugs, addiction stigma, mistrust between various components of the treatment system, perceptions that professional substance use disorder treatment is inefficient and low uptake of that treatment, the disturbed relational boundaries between the people who use drugs and their relatives, the interweaving of treatment and ethical and religious principles, low acceptance of maintenance treatments, treatment focusing on short-term outcomes, and presence of facilitating backgrounds of using drugs. Conclusions: The Iranian socio-cultural characteristics play an important role in the addiction treatment of the people who use drugs, so it is necessary for treatment interventions to be sensitive to these characteristics.

Published
2023
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138. Effect of Stress-Related Neural Pathways on the Cardiovascular Benefit of Physical Activity

Author

Zureigat, Hadil, primary, Osborne, Michael T., additional, Abohashem, Shady, additional, Mezue, Kenechukwu, additional, Gharios, Charbel, additional, Grewal, Simran, additional, Cardeiro, Alex, additional, Naddaf, Nicki, additional, Civieri, Giovanni, additional, Abbasi, Taimur, additional, Radfar, Azar, additional, Aldosoky, Wesam, additional, Seligowski, Antonia V., additional, Wasfy, Meagan M., additional, Guseh, James Sawalla, additional, Churchill, Timothy W., additional, Rosovsky, Rachel P., additional, Fayad, Zahi, additional, Rosenzweig, Anthony, additional, Baggish, Aaron, additional, Pitman, Roger K., additional, Choi, Karmel W., additional, Smoller, Jordan, additional, Shin, Lisa M., additional, and Tawakol, Ahmed, additional

Published
2024
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142. Burden of Ischemic and Hemorrhagic Stroke Across the US From 1990 to 2019

Author

Renedo, Daniela, primary, Acosta, Julian N., additional, Leasure, Audrey C., additional, Sharma, Richa, additional, Krumholz, Harlan M., additional, de Havenon, Adam, additional, Alahdab, Fares, additional, Aravkin, Aleksandr Y., additional, Aryan, Zahra, additional, Bärnighausen, Till Winfried, additional, Basu, Sanjay, additional, Burkart, Katrin, additional, Coberly, Kaleb, additional, Criqui, Michael H., additional, Dai, Xiaochen, additional, Desai, Rupak, additional, Dharmaratne, Samath Dhamminda, additional, Doshi, Rajkumar, additional, Elgendy, Islam Y., additional, Feigin, Valery L., additional, Filip, Irina, additional, Gad, Mohamed M., additional, Ghozy, Sherief, additional, Hafezi-Nejad, Nima, additional, Kalani, Rizwan, additional, Karaye, Ibraheem M., additional, Kisa, Adnan, additional, Krishnamoorthy, Vijay, additional, Lo, Warren, additional, Mestrovic, Tomislav, additional, Miller, Ted R., additional, Misganaw, Awoke, additional, Mokdad, Ali H., additional, Murray, Christopher J. L., additional, Natto, Zuhair S., additional, Radfar, Amir, additional, Ram, Pradhum, additional, Roth, Gregory A., additional, Seylani, Allen, additional, Shah, Nilay S., additional, Sharma, Purva, additional, Sheikh, Aziz, additional, Singh, Jasvinder A., additional, Song, Suhang, additional, Sotoudeh, Houman, additional, Vervoort, Dominique, additional, Wang, Cong, additional, Xiao, Hong, additional, Xu, Suowen, additional, Zand, Ramin, additional, Falcone, Guido J., additional, and Sheth, Kevin N., additional

Published
2024
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143. A comparison of artificial intelligence algorithms in diagnosing and predicting gastric cancer: a review study

Author

Hamed Mazreati, Reza Radfar, Mohammad-Reza Sohrabi, Babak Sabet Divshali, and Mohammad Ali Afshar Kazemi

Subjects
Artificial Intelligence, Neural Networks, Computer, Stomach Neoplasms, Support Vector Machine, Public aspects of medicine, RA1-1270
Abstract

Today, artificial intelligence is considered a powerful tool that can help physicians identify and diagnose and predict diseases. Gastric cancer has been the fourth most common malignancy and the second leading cause of cancer mortality in the world. Thus, timely diagnosis of this type of cancer could effectively control it. This paper compares AI (artificial intelligence) algorithms in diagnosing and predicting gastric cancer based on types of AI algorithms, sample size, accuracy, sensitivity, and specificity. This narrative-review paper aims to explore AI algorithms in diagnosing and predicting gastric cancer. To achieve this goal, we reviewed English articles published between 2011 and 2021 in PubMed and Science direct databases. According to the reviews conducted on the published papers, the endoscopic method has been the most used method to collect and incorporate samples into designed models. Also, the SVM (support vector machine), convolutional neural network (CNN), and deep-type CNN have been used the most; therefore, we propose the usage of these algorithms in medical subjects, especially in gastric cancer.

Published
2023
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145. Author Correction: Genome-wide association study identifies Sjögren’s risk loci with functional implications in immune and glandular cells

Author

Khatri, Bhuwan, Tessneer, Kandice L., Rasmussen, Astrid, Aghakhanian, Farhang, Reksten, Tove Ragna, Adler, Adam, Alevizos, Ilias, Anaya, Juan-Manuel, Aqrawi, Lara A., Baecklund, Eva, Brun, Johan G., Bucher, Sara Magnusson, Eloranta, Maija-Leena, Engelke, Fiona, Forsblad-d’Elia, Helena, Glenn, Stuart B., Hammenfors, Daniel, Imgenberg-Kreuz, Juliana, Jensen, Janicke Liaaen, Johnsen, Svein Joar Auglænd, Jonsson, Malin V., Kvarnström, Marika, Kelly, Jennifer A., Li, He, Mandl, Thomas, Martín, Javier, Nocturne, Gaétane, Norheim, Katrine Brække, Palm, Øyvind, Skarstein, Kathrine, Stolarczyk, Anna M., Taylor, Kimberly E., Teruel, Maria, Theander, Elke, Venuturupalli, Swamy, Wallace, Daniel J., Grundahl, Kiely M., Hefner, Kimberly S., Radfar, Lida, Lewis, David M., Stone, Donald U., Kaufman, C. Erick, Brennan, Michael T., Guthridge, Joel M., James, Judith A., Scofield, R. Hal, Gaffney, Patrick M., Criswell, Lindsey A., Jonsson, Roland, Eriksson, Per, Bowman, Simon J., Omdal, Roald, Rönnblom, Lars, Warner, Blake, Rischmueller, Maureen, Witte, Torsten, Farris, A. Darise, Mariette, Xavier, Alarcon-Riquelme, Marta E., Shiboski, Caroline H., Wahren-Herlenius, Marie, Ng, Wan-Fai, Sivils, Kathy L., Adrianto, Indra, Nordmark, Gunnel, and Lessard, Christopher J.

Published
2022
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149. Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

Author

Haeuser, Emily, Serfes, Audrey L., Cork, Michael A., Yang, Mingyou, Abbastabar, Hedayat, Abhilash, E. S., Adabi, Maryam, Adebayo, Oladimeji M., Adekanmbi, Victor, Adeyinka, Daniel Adedayo, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmadi, Keivan, Ahmed, Muktar Beshir, Akalu, Yonas, Akinyemi, Rufus Olusola, Akunna, Chisom Joyqueenet, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M., Alene, Kefyalew Addis, Alhassan, Robert Kaba, Alipour, Vahid, Almasi-Hashiani, Amir, Alvis-Guzman, Nelson, Ameyaw, Edward Kwabena, Amini, Saeed, Amugsi, Dickson A., Ancuceanu, Robert, Anvari, Davood, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Aremu, Olatunde, Asemahagn, Mulusew A., Jafarabadi, Mohammad Asghari, Awedew, Atalel Fentahun, Quintanilla, Beatriz Paulina Ayala, Ayanore, Martin Amogre, Aynalem, Yared Asmare, Azari, Samad, Azene, Zelalem Nigussie, Darshan, B. B., Babalola, Tesleem Kayode, Baig, Atif Amin, Banach, Maciej, Bärnighausen, Till Winfried, Bell, Arielle Wilder, Bhagavathula, Akshaya Srikanth, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bijani, Ali, Bitew, Zebenay Workneh, Bohlouli, Somayeh, Bolarinwa, Obasanjo Afolabi, Boloor, Archith, Bozicevic, Ivana, Butt, Zahid A., Cárdenas, Rosario, Carvalho, Felix, Charan, Jaykaran, Chattu, Vijay Kumar, Chowdhury, Mohiuddin Ahsanul Kabir, Chu, Dinh-Toi, Cowden, Richard G., Dahlawi, Saad M. A., Damiani, Giovanni, Darteh, Eugene Kofuor Maafo, Darwesh, Aso Mohammad, das Neves, José, Weaver, Nicole Davis, De Leo, Diego, De Neve, Jan-Walter, Deribe, Kebede, Deuba, Keshab, Dharmaratne, Samath, Dianatinasab, Mostafa, Diaz, Daniel, Didarloo, Alireza, Djalalinia, Shirin, Dorostkar, Fariba, Dubljanin, Eleonora, Duko, Bereket, El Tantawi, Maha, El-Jaafary, Shaimaa I., Eshrati, Babak, Eskandarieh, Sharareh, Eyawo, Oghenowede, Ezeonwumelu, Ifeanyi Jude, Ezzikouri, Sayeh, Farzadfar, Farshad, Fattahi, Nazir, Fauk, Nelsensius Klau, Fernandes, Eduarda, Filip, Irina, Fischer, Florian, Foigt, Nataliya A., Foroutan, Masoud, Fukumoto, Takeshi, Gad, Mohamed M., Gaidhane, Abhay Motiramji, Gebregiorgis, Birhan Gebresillassie, Gebremedhin, Ketema Bizuwork, Getacher, Lemma, Ghadiri, Keyghobad, Ghashghaee, Ahmad, Golechha, Mahaveer, Gubari, Mohammed Ibrahim Mohialdeen, Gugnani, Harish Chander, Guimarães, Rafael Alves, Haider, Mohammad Rifat, Haj-Mirzaian, Arvin, Hamidi, Samer, Hashi, Abdiwahab, Hassanipour, Soheil, Hassankhani, Hadi, Hayat, Khezar, Herteliu, Claudiu, Ho, Hung Chak, Holla, Ramesh, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M., Ilic, Milena D., Islam, Rakibul M., Iwu, Chidozie C. D., Jakovljevic, Mihajlo, Jha, Ravi Prakash, Ji, John S., Johnson, Kimberly B., Joseph, Nitin, Joshua, Vasna, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kalankesh, Leila R., Kalhor, Rohollah, Kamyari, Naser, Kanchan, Tanuj, Matin, Behzad Karami, Karimi, Salah Eddin, Kayode, Gbenga A., Karyani, Ali Kazemi, Keramati, Maryam, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Md Nuruzzaman, Khatab, Khaled, Khubchandani, Jagdish, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Kopec, Jacek A., Kosen, Soewarta, Laxminarayana, Sindhura Lakshmi Koulmane, Koyanagi, Ai, Krishan, Kewal, Defo, Barthelemy Kuate, Kugbey, Nuworza, Kulkarni, Vaman, Kumar, Manasi, Kumar, Nithin, Kusuma, Dian, La Vecchia, Carlo, Lal, Dharmesh Kumar, Landires, Iván, Larson, Heidi Jane, Lasrado, Savita, Lee, Paul H., Li, Shanshan, Liu, Xuefeng, Maleki, Afshin, Malik, Preeti, Mansournia, Mohammad Ali, Martins-Melo, Francisco Rogerlândio, Mendoza, Walter, Menezes, Ritesh G., Mengesha, Endalkachew Worku, Meretoja, Tuomo J., Mestrovic, Tomislav, Mirica, Andreea, Moazen, Babak, Mohamad, Osama, Mohammad, Yousef, Mohammadian-Hafshejani, Abdollah, Mohammadpourhodki, Reza, Mohammed, Salahuddin, Mohammed, Shafiu, Mokdad, Ali H., Moradi, Masoud, Moraga, Paula, Mubarik, Sumaira, Mulu, Getaneh Baye B., Mwanri, Lillian, Nagarajan, Ahamarshan Jayaraman, Naimzada, Mukhammad David, Naveed, Muhammad, Nazari, Javad, Ndejjo, Rawlance, Negoi, Ionut, Ngalesoni, Frida N., Nguefack-Tsague, Georges, Ngunjiri, Josephine W., Nguyen, Cuong Tat, Nguyen, Huong Lan Thi, Nnaji, Chukwudi A., Noubiap, Jean Jacques, Nuñez-Samudio, Virginia, Nwatah, Vincent Ebuka, Oancea, Bogdan, Odukoya, Oluwakemi Ololade, Olagunju, Andrew T., Olakunde, Babayemi Oluwaseun, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Bali, Ahmed Omar, Onwujekwe, Obinna E., Orisakwe, Orish Ebere, Otstavnov, Nikita, Otstavnov, Stanislav S., Owolabi, Mayowa O., Mahesh, P. A., Padubidri, Jagadish Rao, Pana, Adrian, Pandey, Ashok, Pandi-Perumal, Seithikurippu R., Kan, Fatemeh Pashazadeh, Patton, George C., Pawar, Shrikant, Peprah, Emmanuel K., Postma, Maarten J., Preotescu, Liliana, Syed, Zahiruddin Quazi, Rabiee, Navid, Radfar, Amir, Rafiei, Alireza, Rahim, Fakher, Rahimi-Movaghar, Vafa, Rahmani, Amir Masoud, Ramezanzadeh, Kiana, Rana, Juwel, Ranabhat, Chhabi Lal, Rao, Sowmya J., Rawaf, David Laith, Rawaf, Salman, Rawassizadeh, Reza, Regassa, Lemma Demissie, Rezaei, Nima, Rezapour, Aziz, Riaz, Mavra A., Ribeiro, Ana Isabel, Ross, Jennifer M., Rubagotti, Enrico, Rumisha, Susan Fred, Rwegerera, Godfrey M., Moghaddam, Sahar Saeedi, Sagar, Rajesh, Sahiledengle, Biniyam, Sahu, Maitreyi, Salem, Marwa Rashad, Kafil, Hossein Samadi, Samy, Abdallah M., Sartorius, Benn, Sathian, Brijesh, Seidu, Abdul-Aziz, Shaheen, Amira A., Shaikh, Masood Ali, Shamsizadeh, Morteza, Shiferaw, Wondimeneh Shibabaw, Shin, Jae Il, Shrestha, Roman, Singh, Jasvinder A., Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Soltani, Shahin, Sufiyan, Mu’awiyyah Babale, Tabuchi, Takahiro, Tadesse, Eyayou Girma, Taveira, Nuno, Tesfay, Fisaha Haile, Thapar, Rekha, Tovani-Palone, Marcos Roberto, Tsegaye, Gebiyaw Wudie, Umeokonkwo, Chukwuma David, Unnikrishnan, Bhaskaran, Villafañe, Jorge Hugo, Violante, Francesco S., Vo, Bay, Vu, Giang Thu, Wado, Yohannes Dibaba, Waheed, Yasir, Wamai, Richard G., Wang, Yanzhong, Ward, Paul, Wickramasinghe, Nuwan Darshana, Wilson, Katherine, Yaya, Sanni, Yip, Paul, Yonemoto, Naohiro, Yu, Chuanhua, Zastrozhin, Mikhail Sergeevich, Zhang, Yunquan, Zhang, Zhi-Jiang, Hay, Simon I., and Dwyer-Lindgren, Laura

Published
2022
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