663 results on '"Askarinejad, A."'
Search Results
2. A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning
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Nematollahi, Mohammad Ali, Askarinejad, Amir, Asadollahi, Arefeh, Bazrafshan, Mehdi, Sarejloo, Shirin, Moghadami, Mana, Sasannia, Sarvin, Farjam, Mojtaba, Homayounfar, Reza, Pezeshki, Babak, Amini, Mitra, Roshanzamir, Mohamad, Alizadehsani, Roohallah, Bazrafshan, Hanieh, Bazrafshan drissi, Hamed, Tan, Ru-San, Acharya, U. Rajendra, and Islam, Mohammed Shariful Sheikh
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- 2024
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3. Combination of FLNC and JUP variants causing arrhythmogenic cardiomyopathy in an Iranian family with different clinical features
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Kasra Mehdizadeh, Mahdieh Soveizi, Amir Askarinejad, Amin Elahifar, Tannaz Masoumi, Amir Farjam Fazelifar, Sanaz Asadian, Majid Maleki, and Samira Kalayinia
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Arrhythmogenic cardiomyopathy ,Arrhythmogenic left ventricular cardiomyopathy ,FLNC ,JUP ,DES ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Abstract Background Arrhythmogenic cardiomyopathy (ACM) characterized by progressive myocardial loss and replacement with fibro-fatty tissue is a major cause of sudden cardiac death (SCD). In particular, ACM with predominantly left ventricular involvement, known as arrhythmogenic left ventricular cardiomyopathy (ALVC), has a poor prognosis. Methods The proband underwent whole-exome sequencing (WES) to determine the etiology of ALVC. Family members were then analyzed using PCR and Sanger sequencing. Clinical evaluations including 12-lead ECG, transthoracic echocardiography, and cardiac MRI were performed for all available first-degree relatives. Results WES identified two variants in the FLNC (c.G3694A) and JUP (c.G1372A) genes, the combination of which results in ALVC and SCD. Conclusion The present study comprehensively investigates the involvement of two discovered variants of FLNC and JUP in the pathogenesis of ALVC. More study is necessary to elucidate the genetic factors involved in the etiology of ALVC.
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- 2024
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4. Catheter ablation as first-line treatment for ventricular tachycardia in patients with structural heart disease and preserved left ventricular ejection fraction: a systematic review and meta-analysis
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Amir Askarinejad, Arash Arya, Moein Zangiabadian, Zahra Ghahramanipour, Hamed Hesami, Danial Farmani, Kimiya Ghanbari Mardasi, Erfan Kohansal, and Majid Haghjoo
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Ventricular tachycardia ,Implantable cardioverter-defibrillators ,Catheter ablation ,Structural heart disease ,Preserved LVEF ,Medicine ,Science - Abstract
Abstract In this systematic review and meta-analysis, we aim to evaluate the efficacy and safety of catheter ablation as the first-line treatment of ventricular tachycardia (VT) in patients with structural heart disease (SHD) and preserved left ventricular ejection fraction (LVEF). Patients with SHD are particularly susceptible to VT, a condition that increases the risk of sudden cardiac death (SCD). Implantable cardioverter-defibrillators (ICDs) can terminate VT and prevent SCD but do not prevent VT recurrence. The efficacy and safety of CA as a first-line treatment in SHD patients with preserved LVEF remain unclear. We searched PubMed/Medline, EMBASE, Web of Science, and Cochrane CENTRAL for studies reporting the outcomes of CA therapy in patients with VT and preserved LVEF, published up to January 19, 2023. The primary outcome was the incidence of SCD following catheter ablation as the first-line treatment of VT in patients with SHD and preserved LVEF. Secondary outcomes included all-cause mortality, VT recurrence, procedural complications, CA success rate, and ICD implantation after catheter ablation. We included seven studies in the meta-analysis, encompassing a total of 920 patients. The pooled success rate of catheter ablation was 84.6% (95% CI 67.2–93.6). Complications occurred in 6.4% (95% CI 4.0–9.9) of patients, and 13.9% (95% CI 10.1–18.8) required ICD implantation after ablation. VT recurrence was observed in 23.2% (95% CI 14.8–34.6) of patients, while the rate of sudden cardiac death (SCD) was 3.1% (95% CI 1.7–5.6). The overall prevalence of all-cause mortality in this population was 5% (95% CI 1.8–13). CA appears promising as a first-line VT treatment in patients with SHD and preserved LVEF, especially for monomorphic hemodynamically tolerated VT. However, due to the lack of direct comparisons with ICDs and anti-arrhythmic drugs, further research is needed to confirm these findings.
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- 2024
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5. Applicability of Building Information Modelling (BIM) to Structural Design Workflow
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Penney, Steve, Askarinejad, Hossein, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Rotimi, James Olabode Bamidele, editor, Shahzad, Wajiha Mohsin, editor, Sutrisna, Monty, editor, and Kahandawa, Ravindu, editor
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- 2024
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6. Rehabilitation in HSCT
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Barkhordar, Maryam, Nazeri, Iraj, Maleki, Majid, Janbabai, Ghasem, Alizadehasl, Azin, Jolfayi, Amir Ghaffari, Askarinejad, Amir, Kohansal, Erfan, Azarfarin, Rasoul, Adimi, Sara, Alizadehasl, Azin, editor, Ghavamzadeh, Ardeshir, editor, Emami, Amir Hossein, editor, Janbabaei, Ghasem, editor, and Khoda-Amorzideh, Davood, editor
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- 2024
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7. Combination of FLNC and JUP variants causing arrhythmogenic cardiomyopathy in an Iranian family with different clinical features
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Mehdizadeh, Kasra, Soveizi, Mahdieh, Askarinejad, Amir, Elahifar, Amin, Masoumi, Tannaz, Fazelifar, Amir Farjam, Asadian, Sanaz, Maleki, Majid, and Kalayinia, Samira
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- 2024
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8. Catheter ablation as first-line treatment for ventricular tachycardia in patients with structural heart disease and preserved left ventricular ejection fraction: a systematic review and meta-analysis
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Askarinejad, Amir, Arya, Arash, Zangiabadian, Moein, Ghahramanipour, Zahra, Hesami, Hamed, Farmani, Danial, Ghanbari Mardasi, Kimiya, Kohansal, Erfan, and Haghjoo, Majid
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- 2024
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9. Implementation of an atrial fibrillation better care (ABC) pathway management strategy: Findings from the Iranian registry of atrial fibrillation
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Majid Haghjoo, Amir Askarinejad, Mona Heidarali, Hooman Bakhshandeh, Amirfarjam Fazelifar, Zahra Emkanjoo, Shabnam Madadi, Farzad Kamali, and Fereidoun Noohi
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Atrial fibrillation ,Integrated ABC pathway ,Rate control ,Rhythm control ,Anticoagulation ,Comorbidity management ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Introduction: The Atrial Fibrillation Better Care (ABC) pathway is such an integrated care approach, recommended in guidelines. The aim of this service evaluation study was to evaluate the impact of implementing the ABC pathway in Iranian population. Methods: In this prospective longitudinal cohort study, consecutive patients with a diagnosis of AF were initially evaluated. Patients at baseline were evaluated in hence of adherence to ABC pathway strategy. After study enrolment, first and second follow-up service evaluations were conducted at 6 and 12 months, respectively. Results: The use of vitamin K antagonists (VKA) decreased from 25.1 % at enrolment to 13.8 % at follow-up; instead, non-VKA oral anticoagulants (NOAC) utilization increased from 40.0 % to 86.1 %, while antiplatelet treatment decreased from 34.9 % to 0 %. Use of antihypertensive drugs, ARBs, diuretics, and statins increased after implementation of the ABC pathway. Implementation of the ABC pathway approach led to a decrease in the occurrence of stroke/TIA (from 6.3 % to 2.2 %, p = 0.002), systemic thromboembolism (from 1.4 % to 0.0 %, p = 0.04), nose bleeds (from 0.8 % to 0.6 %, p = 0.04), skin bruising (from 1.2 % to 0.0 %, p = 0.002), and heart failure (from 7.7 % to 4.7 %, p = 0.04). The proportion of patients in EHRA Class I-II increased from 93.3 % at enrolment to 98.1 % at follow-up. Conclusion: In this first study from a Middle East population, compliance with ABC pathway strategy in the management of AF was associated with optimization of management and general improvements in patient outcomes during follow-up.
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- 2024
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10. Assessing the impact of omega-3 fatty acids on ventricular tachyarrhythmia and survival in patients with ICDs: A systematic review and meta-analysis
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Erfan Kohansal, Amir Askarinejad, MohammadHossein MozafaryBazargany, Amirreza Sabahizadeh, SeyedAbbas Pakmehr, and Majid Haghjoo
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N-3 polyunsaturated fatty acids ,Ventricular tachycardia ,Implantable cardioverter-defibrillator ,Omega-3 ,Fish oil ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background: Recent studies investigating the effects of fish oil on shocks administered by ICDs in patients with ventricular tachycardias produced inconclusive results. This systematic review aims to evaluate the effectiveness of omega-3 polyunsaturated fatty acids in lowering the risk of life-threatening VTs among individuals with implantable cardioverter-defibrillators. Methods: We searched five databases, including Central, PubMed, EMBASE, Web of Science, and Scopus, for studies evaluating the efficacy of omega-3 polyunsaturated fatty acids (PUFAs) for the prevention of ICD events for VT or VF, published up to December 1, 2023. Results: Four trials were finally included in the study. The pooled risk ratios for mortality and ICD events were 0.87 (95% CI:0.58–1.32) and 0.75 (95% CI:0.48–1.18), respectively. Conclusion: No significant effect was discovered to support the antiarrhythmic properties or survival advantages of n-3 polyunsaturated fatty acids (PUFA) in individuals with implanted implantable cardioverter-defibrillators (ICD).
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- 2024
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11. A method to quantify the beneficial effect of scour protection on lateral behaviour of monopiles for offshore wind turbines
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Li, Q., Prendergast, L.J., Gavin, K.G., Askarinejad, A., and Wang, X.Q.
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- 2024
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12. Implementation of an atrial fibrillation better care (ABC) pathway management strategy: Findings from the Iranian registry of atrial fibrillation
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Haghjoo, Majid, Askarinejad, Amir, Heidarali, Mona, Bakhshandeh, Hooman, Fazelifar, Amirfarjam, Emkanjoo, Zahra, Madadi, Shabnam, Kamali, Farzad, and Noohi, Fereidoun
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- 2024
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13. Hypertension in Cardio-Oncology Clinic: an update on etiology, assessment, and management
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Amir Askarinejad, Azin Alizadehasl, Amir Ghaffari Jolfayi, and Sara Adimi
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Cardio-oncology ,Hypertension ,Vascular endothelial growth factor inhibitor ,Tyrosine kinase inhibitors ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Hypertension is one of the most common comorbidity and the leading cause of cancer-related death in cancer patients. The prevalence of hypertension in cancer patients is much higher than that of the general population. In the older population of cancer patients, specific cancer treatments such as new tyrosine kinase inhibitors and Vascular endothelial growth factor inhibitor drugs give rise to hypertension in cancer patients; The aim of present study is to provide a detailed discussion etiologies of cancer treatment-induced hypertension and explore the most innovative diagnostic and management approaches. This review will address the optimal approach to hypertension treatment, covering treatment initiation thresholds, targets, and the selection of anti-hypertensive agents. The lack of evidence in recent guidelines for managing cardiovascular toxicities in cancer patients can create uncertainty in clinicians' therapeutic and clinical decisions. This review aims to enhance our understanding of hypertension etiology in cancer patients and provide a practical guide to current treatment approaches.
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- 2023
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14. Assessing the impact of omega-3 fatty acids on ventricular tachyarrhythmia and survival in patients with ICDs: A systematic review and meta-analysis
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Kohansal, Erfan, Askarinejad, Amir, MozafaryBazargany, MohammadHossein, Sabahizadeh, Amirreza, Pakmehr, SeyedAbbas, and Haghjoo, Majid
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- 2024
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15. 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
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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, Ashbaugh, Charlie, Ashemo, Mubarek Yesse, Ashraf, Tahira, Askarinejad, Amir, Assmus, Michael, Astell-Burt, Thomas, Athar, Mohammad, Athari, Seyyed Shamsadin, Atorkey, Prince, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avila-Burgos, Leticia, Awoke, Andargie Abate, Ayala Quintanilla, Beatriz Paulina, Ayatollahi, Haleh, Ayestas Portugal, Carlos, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azevedo, Rui M S, Azhar, Gulrez Shah, Azizi, Hosein, Azzam, Ahmed Y, Backhaus, Insa Linnea, Badar, Muhammad, Badiye, Ashish D, Bagga, Arvind, Baghdadi, Soroush, Bagheri, Nasser, Bagherieh, Sara, Bahrami Taghanaki, Pegah, Bai, Ruhai, Baig, Atif Amin, Baker, Jennifer L, Bakkannavar, Shankar M, Balasubramanian, Madhan, Baltatu, Ovidiu Constantin, Bam, Kiran, Bandyopadhyay, Soham, Banik, Biswajit, Banik, Palash Chandra, Banke-Thomas, Aduragbemi, Bansal, Hansi, Barchitta, Martina, Bardhan, Mainak, Bardideh, Erfan, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barone-Adesi, Francesco, Barqawi, 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 Devin, Bisignano, Catherine, Biswas, Atanu, Biswas, Bijit, Biswas, Raaj Kishore, Bjørge, Tone, Boachie, Micheal Kofi, Boakye, Hosea, Bockarie, Moses John, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Bogale, Eyob Ketema, Bolla, Srinivasa Rao, Boloor, Archith, Bonakdar Hashemi, Milad, Boppana, Sri Harsha, Bora Basara, Berrak, Borhany, Hamed, Botero Carvajal, Alejandro, Bouaoud, Souad, Boufous, Soufiane, Bourne, Rupert, Boxe, Christopher, Braithwaite, Dejana, Brant, Luisa C, Brar, Amanpreet, Breitborde, Nicholas J K, Breitner, Susanne, Brenner, Hermann, Briko, Andrey Nikolaevich, Britton, Gabrielle, Brown, Colin Stewart, Browne, Annie J, Brunoni, Andre R, Bryazka, Dana, Bulamu, Norma B, Bulto, Lemma N, Buonsenso, Danilo, Burkart, Katrin, Burns, Richard A, Busse, Reinhard, Bustanji, Yasser, Butt, Nadeem Shafique, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cagney, Jack, Cahuana-Hurtado, Lucero, Calina, Daniela, Cámera, Luis Alberto, Campos, Luciana Aparecida, Campos-Nonato, Ismael R, Cao, Chao, Cao, Fan, Cao, Yubin, Capodici, Angelo, Cárdenas, Rosario, Carr, Sinclair, Carreras, Giulia, Carrero, Juan J, Carugno, Andrea, Carvalho, Felix, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Catalá-López, Ferrán, Catapano, Alberico L, Cattaruzza, Maria Sofia, Caye, Arthur, Cederroth, Christopher R, Cegolon, Luca, Cenderadewi, Muthia, Cercy, Kelly M, Cerin, Ester, Chadwick, Joshua, Chakraborty, Chiranjib, Chakraborty, Promit Ananyo, Chakraborty, Sandip, Chan, Jeffrey Shi Kai, Chan, Raymond N C, Chandan, Joht Singh, Chandika, Rama Mohan, Chaturvedi, Pankaj, Chen, An-Tian, Chen, Catherine S, Chen, Haowei, Chen, Meng Xuan, Chen, Mingling, Chen, Simiao, Cheng, Ching-Yu, Cheng, Esther T W, Cherbuin, Nicolas, Chi, Gerald, Chichagi, Fatemeh, Chimed-Ochir, Odgerel, Chimoriya, Ritesh, Ching, Patrick R, Chirinos-Caceres, Jesus Lorenzo, Chitheer, Abdulaal, Cho, William C S, Chong, Bryan, Chopra, Hitesh, Chowdhury, Rajiv, Christopher, Devasahayam J, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Eric, Chung, Sheng-Chia, Chutiyami, Muhammad, Cioffi, Iolanda, Cogen, Rebecca M, Cohen, Aaron J, Columbus, Alyssa, Conde, Joao, Corlateanu, Alexandru, Cortese, Samuele, Cortesi, Paolo Angelo, Costa, Vera Marisa, Costanzo, Simona, Criqui, Michael H, Cruz, Jessica A, Cruz-Martins, Natália, Culbreth, Garland T, da Silva, Alanna Gomes, Dadras, Omid, Dai, Xiaochen, Dai, Zhaoli, Daikwo, Patience Unekwuojo, Dalli, Lachlan L, Damiani, Giovanni, D'Amico, Emanuele, D'Anna, Lucio, Darwesh, Aso Mohammad, Das, Jai K, Das, Subasish, Dash, Nihar Ranjan, Dashti, Mohsen, Dávila-Cervantes, Claudio Alberto, Davis Weaver, Nicole, Davitoiu, Dragos Virgil, De la Hoz, Fernando Pio, de la Torre-Luque, Alejandro, De Leo, Diego, Debopadhaya, Shayom, Degenhardt, Louisa, Del Bo', Cristian, Delgado-Enciso, Ivan, Delgado-Saborit, Juana Maria, Demoze, Chalachew Kassaw, Denova-Gutiérrez, Edgar, Dervenis, Nikolaos, Dervišević, Emina, Desai, Hardik Dineshbhai, Desai, Rupak, Devanbu, Vinoth Gnana Chellaiyan, Dewan, Syed Masudur Rahman, Dhali, Arkadeep, Dhama, Kuldeep, Dhane, Amol S, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Dhingra, Sameer, Dhulipala, Vishal R, Dhungana, Raja Ram, Dias da Silva, Diana, Diaz, Daniel, Diaz, Luis Antonio, Diaz, Michael J, Dima, Adriana, Ding, Delaney D, Dinu, Monica, Djalalinia, Shirin, Do, Thanh Chi, Do, Thao Huynh Phuong, do Prado, Camila Bruneli, Dodangeh, Masoud, Dohare, Sushil, Dokova, Klara Georgieva, Dong, Wanyue, Dongarwar, Deepa, D'Oria, Mario, Dorostkar, Fariba, Dorsey, E Ray, Doshi, Rajkumar, Doshmangir, Leila, Dowou, Robert Kokou, Driscoll, Tim Robert, Dsouza, Ashel Chelsea, Dsouza, Haneil Larson, Dumith, Samuel C, Duncan, Bruce B, Duraes, Andre Rodrigues, Duraisamy, Senbagam, Dushpanova, Anar, Dzianach, Paulina Agnieszka, Dziedzic, Arkadiusz Marian, Ebrahimi, Alireza, Echieh, Chidiebere Peter, Ed-Dra, Abdelaziz, Edinur, Hisham Atan, Edvardsson, David, Edvardsson, Kristina, Efendi, Ferry, Eftekharimehrabad, Aziz, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Arab, Rabie Adel, El Sayed Zaki, Maysaa, El-Dahiyat, Faris, Elemam, Noha Mousaad, Elgar, Frank J, ElGohary, Ghada Metwally Tawfik, Elhabashy, Hala Rashad, Elhadi, Muhammed, Elmehrath, Ahmed O, Elmeligy, Omar Abdelsadek Abdou, Elshaer, Mohammed, Elsohaby, Ibrahim, Emeto, Theophilus I, Esfandiari, Negin, Eshrati, Babak, Eslami, Majid, Esmaeili, Sayed Vahid, Estep, Kara, Etaee, Farshid, Fabin, Natalia, Fagbamigbe, Adeniyi Francis, Fagbule, Omotayo Francis, Fahimi, Saman, Falzone, Luca, Fareed, Mohammad, Farinha, Carla Sofia e Sá, Faris, MoezAlIslam Ezzat Mahmoud, Faris, Pawan Sirwan, Faro, Andre, Fasina, Folorunso Oludayo, Fatehizadeh, Ali, Fauk, Nelsensius Klau, Fazylov, Timur, Feigin, Valery L, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Feroze, Abdullah Hamid, Ferrara, Pietro, Ferrari, Alize J, Ferreira, Nuno, Fetensa, Getahun, Feyisa, Bikila Regassa, Filip, Irina, Fischer, Florian, 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Payman, Salami, Afeez Abolarinwa, Salaroli, Luciane B, Salehi, Leili, Salehi, Sana, Salem, Marwa Rashad, Salem, Mohammed Z Y, Salihu, Dauda, Salimi, Sohrab, Salum, Giovanni A, Samadi Kafil, Hossein, Samadzadeh, Sara, Samodra, Yoseph Leonardo, Samuel, Vijaya Paul, Samy, Abdallah M, Sanabria, Juan, Sanjeev, Rama Krishna, Sanna, Francesca, Santomauro, Damian Francesco, Santric-Milicevic, Milena M, Sarasmita, Made Ary, Saraswathy, Sivan Yegnanarayana Iyer, Saravanan, Aswini, Saravi, Babak, Sarikhani, Yaser, Sarmiento-Suárez, Rodrigo, Sarode, Gargi Sachin, Sarode, Sachin C, Sartorius, Benn, Sarveazad, Arash, Sathian, Brijesh, Sattin, Davide, Sawhney, Monika, Saya, Ganesh Kumar, Sayeed, Abu, Sayeed, Md Abu, Sayyah, Mehdi, Schinckus, Christophe, Schmidt, Maria Inês, Schuermans, Art, Schumacher, Austin E, Schutte, Aletta Elisabeth, Schwarzinger, Michaël, Schwebel, David C, Schwendicke, Falk, Selvaraj, Siddharthan, Semreen, Mohammad H, Senthilkumaran, Subramanian, Serban, Dragos, Serre, Marc L, Sethi, Yashendra, Shafie, Mahan, Shah, Humaira, Shah, Nilay S, Shah, Pritik A, Shah, Syed Mahboob, Shahbandi, Ataollah, Shaheen, Amira A, Shahid, Samiah, Shahid, Wajeehah, Shahsavari, Hamid R, Shahwan, Moyad Jamal, Shaikh, Masood Ali, Shaikh, Summaiya Zareen, Shalash, Ali S, Sham, Sunder, Shamim, Muhammad Aaqib, Shams-Beyranvand, Mehran, Shamshirgaran, Mohammad Ali, Shamsi, Mohammad Anas, Shanawaz, Mohd, Shankar, Abhishek, Sharfaei, Sadaf, Sharifan, Amin, Sharifi-Rad, Javad, Sharma, Manoj, Sharma, Ujjawal, Sharma, Vishal, Shastry, Rajesh P, Shavandi, Amin, Shehabeldine, Amr Mohamed Elsayed, Shehzadi, Somia, Sheikh, Aziz, Shen, Jiabin, Shetty, Adithi, Shetty, B Suresh Kumar, Shetty, Pavanchand H, Shiani, Amir, Shiferaw, Desalegn, Shigematsu, Mika, Shin, Min-Jeong, Shiri, Rahman, Shittu, Aminu, Shiue, Ivy, Shivakumar, K M, Shivarov, Velizar, Shool, Sina, Shorofi, Seyed Afshin, Shrestha, Rajan, Shrestha, Sunil, Shuja, Kanwar Hamza, Shuval, Kerem, Si, Yafei, Siddig, Emmanuel Edwar, Silva, Diego Augusto Santos, Silva, Luís Manuel Lopes Rodrigues, Silva, Soraia, Silva, Thales Philipe R, Simpson, Colin R, Singh, Abhinav, Singh, Balbir Bagicha, Singh, Baljinder, Singh, Garima, Singh, Harmanjit, Singh, Jasvinder A, Singh, Mahendra, Singh, Narinder Pal, Singh, Paramdeep, Singh, Surjit, Sinto, Robert, Sivakumar, Shravan, Siwal, Samarjeet Singh, Skhvitaridze, Natia, Skou, Søren T, Sleet, David A, Sobia, Farrukh, Soboka, Matiwos, Socea, Bogdan, Solaimanian, Shahabaddin, Solanki, Ranjan, Solanki, Shipra, Soliman, Sameh S M, Somayaji, Ranjani, Song, Yi, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Spartalis, Michael, Spearman, Sandra, Spencer, Cory N, Sreeramareddy, Chandrashekhar T, Stachteas, Panagiotis, Stafford, Lauryn K, Stanaway, Jeffrey D, Stanikzai, Muhammad Haroon, Stein, Caroline, Stein, Dan J, Steinbeis, Fridolin, Steiner, Caitlyn, Steinke, Sabine, Steiropoulos, Paschalis, Stockfelt, Leo, Stokes, Mark A, Straif, Kurt, Stranges, Saverio, Subedi, Narayan, Subramaniyan, Vetriselvan, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sundström, Johan, Sunkersing, David, Sunnerhagen, Katharina S, Suresh, Vinay, Swain, Chandan Kumar, Szarpak, Lukasz, Szeto, Mindy D, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabche, Celine, Tabish, Mohammad, Tadakamadla, Santosh Kumar, Taheri Abkenar, Yasaman, Taheri Soodejani, Moslem, Taherkhani, Amir, Taiba, Jabeen, Takahashi, Ken, Talaat, Iman M, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tang, Haosu, Tat, Nathan Y, Taveira, Nuno, Tefera, Yibekal Manaye, Tehrani-Banihashemi, Arash, Temesgen, Worku Animaw, Temsah, Mohamad-Hani, Teramoto, Masayuki, Terefa, Dufera Rikitu, Teye-Kwadjo, Enoch, Thakur, Ramna, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thayakaran, Rasiah, Thirunavukkarasu, Sathish, Thomas, Nihal, Thomas, Nikhil Kenny, Tian, Jing, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tolani, Musliu Adetola, Tolossa, Tadesse, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Fotis, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Trabelsi, Khaled, Tran, Jasmine T, Tran, Mai Thi Ngoc, Tran, Nghia Minh, Trico, Domenico, Trihandini, Indang, Troeger, Christopher E, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Udoakang, Aniefiok John, Udoh, Arit, Ullah, Atta, Ullah, Saeed, Ullah, Sana, Umair, Muhammad, Umakanthan, Srikanth, Unim, Brigid, Unnikrishnan, Bhaskaran, Upadhyay, Era, Urso, Daniele, Usman, Jibrin Sammani, Vaithinathan, Asokan Govindaraj, Vakili, Omid, Valenti, Mario, Valizadeh, Rohollah, Van den Eynde, Jef, van Donkelaar, Aaron, Varga, Orsolya, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vasic, Milena, Vaziri, Siavash, Venketasubramanian, Narayanaswamy, Verghese, Nicholas Alexander, Verma, Madhur, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Villalobos-Daniel, Victor E, Villani, Leonardo, Villanueva, Gabriela Ines, Vinayak, Manish, Violante, Francesco S, Vlassov, Vasily, Vo, Bay, Vollset, Stein Emil, Volovat, Simona Ruxandra, Vos, Theo, Vujcic, Isidora S, Waheed, Yasir, Wang, Cong, Wang, Fang, Wang, Shu, Wang, Yanzhong, Wang, Yuan-Pang, Wanjau, Mary Njeri, Waqas, Muhammad, Ward, Paul, Waris, Abdul, Wassie, Emebet Gashaw, Weerakoon, Kosala Gayan, Weintraub, Robert G, Weiss, Daniel J, Weiss, Eli J, Weldetinsaa, Haftom Legese Legese, Wells, Katherine M, Wen, Yi Feng, Wiangkham, Taweewat, Wickramasinghe, Nuwan Darshana, Wilkerson, Caroline, Willeit, Peter, Wilson, Shadrach, Wong, Yen Jun, Wongsin, Utoomporn, Wozniak, Sarah, Wu, Chenkai, Wu, Dongze, Wu, Felicia, Wu, Zenghong, Xia, Juan, Xiao, Hong, Xu, Suowen, Xu, Xiaoyue, Xu, Yvonne Yiru, Yadav, Mukesh Kumar, Yaghoubi, Sajad, Yamagishi, Kazumasa, Yang, Lin, Yano, Yuichiro, Yaribeygi, Habib, Yasufuku, Yuichi, Ye, Pengpeng, Yesodharan, Renjulal, Yesuf, Subah Abderehim, Yezli, Saber, Yi, Siyan, Yiğit, Arzu, Yigzaw, Zeamanuel Anteneh, Yin, Dehui, Yip, Paul, Yismaw, Malede Berihun, Yon, Dong Keon, Yonemoto, Naohiro, You, Yuyi, Younis, Mustafa Z, Yousefi, Zabihollah, Yu, Chuanhua, Yu, Yong, Zadey, Siddhesh, Zadnik, Vesna, Zakham, Fathiah, Zaki, Nazar, Zakzuk, Josefina, Zamagni, Giulia, Zaman, Sojib Bin, Zandieh, Ghazal G Z, Zanghì, Aurora, Zar, Heather J, Zare, Iman, Zarimeidani, Fatemeh, Zastrozhin, Mikhail Sergeevich, Zeng, Youjie, Zhai, Chunxia, Zhang, Anthony Lin, Zhang, Haijun, Zhang, Liqun, Zhang, Meixin, Zhang, Yunquan, Zhang, Zhenyu, Zhang, Zhi-Jiang, Zhao, Hanqing, Zhao, Jeff T, Zhao, Xiu-Ju George, Zhao, Yang, Zhao, Yong, Zhong, Chenwen, Zhou, Jingjing, Zhou, Juexiao, Zhou, Shangcheng, Zhu, Bin, Zhu, Lei, Zhu, Zhaohua, Ziaeian, Boback, Ziafati, Makan, Zielińska, Magdalena, Zimsen, Stephanie R M, Zoghi, Ghazal, Zoller, Thomas, Zumla, Alimuddin, Zyoud, Sa'ed H, Zyoud, Samer H, Murray, Christopher J L, and Gakidou, Emmanuela
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- 2024
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16. Hypertension in Cardio-Oncology Clinic: an update on etiology, assessment, and management
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Askarinejad, Amir, Alizadehasl, Azin, Jolfayi, Amir Ghaffari, and Adimi, Sara
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- 2023
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17. The potential of HEART score to detect the severity of coronary artery disease according to SYNTAX score
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Salimi, Amirhossein, Zolghadrasli, Abdolali, Jahangiri, Soodeh, Hatamnejad, Mohammad Reza, Bazrafshan, Mehdi, Izadpanah, Peyman, Dehghani, Fatemeh, Askarinejad, Amir, Salimi, Maryam, and Bazrafshan Drissi, Hamed
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- 2023
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18. Ultimate soil resistance of the laterally loaded pile in uniform sand
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Wang, H., Wang, L.Z., Askarinejad, A., Hong, Y., and He, B.
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Sand -- Mechanical properties ,Dynamic testing -- Methods ,Soil mechanics -- Analysis ,Piling (Civil engineering) -- Mechanical properties ,Earth sciences - Abstract
Piles have been widely used as foundations to resist lateral loads. For the design of a laterally loaded pile, one of the most important inputs is the ultimate soil resistance ([p.sub.ult] = [K.sub.ult]D[[sigma].sub.'v], where [K.sub.ult] is the ultimate lateral soil resistance coefficient, D is the pile diameter, and [[sigma].sub.'v] is the vertical effective stress). However, great discrepancy can be found in the existing design equations for piles in sand. To provide new insights and clarify the discrepancy in previous studies, in this study, a series of numerical simulations were performed on piles of different configurations using the finite element model validated by centrifuge pile tests. The computed results suggest that [K.sub.ult] is a function of depth ratios z/D and z/L for the flexible and rigid piles, respectively (where z is the absolute depth and L is the embedded pile length), and all existing design equations failed to reproduce the magnitude and distribution of [K.sub.ult]. Additionally, the [K.sub.ult] of horizontally translated fixed-head rigid piles exhibits the same pattern as that of free-head flexible piles, suggesting that the difference between free-head flexible piles and rigid piles is caused by the change of failure modes. Key words: ultimate soil resistance, sand, laterally loaded pile, finite element modelling, hypoplastic soil model, 1. Introduction The ultimate lateral soil resistance ([p.sub.ult] = [K.sub.ult]D[[sigma].sub.'v], where [K.sub.ult] is the ultimate lateral soil resistance coefficient, D is the pile diameter, and [[sigma].sub.'v] is the vertical effective [...]
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- 2023
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19. Catecholaminergic polymorphic ventricular tachycardia (and seizure) caused by a novel homozygous likely pathogenic variant in CASQ2 gene
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Askarinejad, Amir, Esmaeili, Shiva, Dalili, Mohamad, Biglari, Alireza, Kohansal, Erfan, Maleki, Majid, and Kalayinia, Samira
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- 2024
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20. The Role of Errors based on the Complexity in Learning a Motor Sequential Task in Elderly Women
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faeghe askarinejad, hossein samadi, and farahnaz ayatizade tafti
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error ,complexity ,motor sequential task ,processing load ,aged ,Geriatrics ,RC952-954.6 - Abstract
Introduction: One of the most important topics in the field of movement behavior is the acquisition of movement sequences, which is an important part of every person's life and the basis of many intelligent human behaviors. The aim of the study was to investigate the effectiveness of errorfull and errorless training based on complexity in the acquisition, retention and transfer of a motor sequential task in elderly women with emphasis on processing needs. Methods: This semi-experimental study was conducted on 30 healthy elderly women over 60 years of age that were selected and randomly allocated into errorless and errorful groups. Then, they performed a sequence motor task assigned by the Serial Reaction Time Task software in the three phases of acquisition, retention, and transfer. In order to analyze the data, ANOVA with repeated measures, Wilcoxon test, Mann-Whitney U test and the independent samples t-test were conducted. Results: A significant improvement was seen in the reaction time and the number of errors in both groups (p < 0.05). Also, the errorless group recorded a shorter reaction time than the errorful group in the acquisition, retention and transfer tests. However, the errorful group made fewer errors in the retention and transfer tests than the errorless group. Conclusion: Errorfull and errorless training are effective on reaction time and amount of errors in the retention and transfer stages of a motor sequential task in elderly women. However, It is suggested that trainers use errorfull training methods in motor sequential tasks in order to reduce the error rate and provide a more optimal learning environment.
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- 2023
21. The potential of HEART score to detect the severity of coronary artery disease according to SYNTAX score
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Amirhossein Salimi, Abdolali Zolghadrasli, Soodeh Jahangiri, Mohammad Reza Hatamnejad, Mehdi Bazrafshan, Peyman Izadpanah, Fatemeh Dehghani, Amir Askarinejad, Maryam Salimi, and Hamed Bazrafshan Drissi
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Medicine ,Science - Abstract
Abstract Clinical scoring systems such as the HEART score can predict major adverse cardiovascular events, but they cannot be used to demonstrate the degree and severity of coronary artery disease. We investigated the potential of HEART Score in detecting the existence and severity of coronary artery disease based on SYNTAX score. This multi-centric cross-sectional study investigated patients referred to the cardiac emergency departments of three hospitals between January 2018 and January 2020. Data including age, gender, risk factors, comorbidities, 12-lead ECG, blood pressure and echocardiogram were recorded for all the participants. Serum troponin I level was measured on admission and 6 h later. Coronary angiography was done via the femoral or radial route. HEART and SYNTAX scores were calculated for all patients and their association was assessed. 300 patients (65% female) with mean age of 58.42 ± 12.42 years were included. mean HEART Score was 5.76 ± 1.56 (min = 3, max = 9), and mean SYNTAX score was 14.82 ± 11.42 (min = 0, max = 44.5). Pearson correlation coefficient was 0.493 between HEART Score and SYNTAX score which was statistically significant (P
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- 2023
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22. Mode II fracture of an MMA adhesive layer: theory versus experiment
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Askarinejad, Sina, Martínez-Pañeda, Emilio, Cuesta, I. Ivan, and Fleck, Norman A.
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Condensed Matter - Materials Science ,Physics - Applied Physics - Abstract
Thick adhesive layers have potential structural application in ship construction for the joining of a composite superstructure to a steel hull. The purpose of this study is to develop a mechanics model for the adhesive fracture of such lap joints under shear loading. Modified Thick-Adherend-Shear-Test (TAST) specimens made from a MMA-based adhesive and steel adherents are designed and fabricated. Crack initiation and growth of these joints is measured and monitored by Digital Image Correlation (DIC). An attempt is made to use a cohesive zone model to predict the magnitude of shear strain across the adhesive layer both at crack initiation and at peak load, and to predict the extent of crack growth as a function of shear strain across the adhesive layer. The ability of a cohesive zone model to predict several features of specimen failure is assessed for the case of an adhesive layer of high shear ductility.
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- 2020
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23. 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
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Brauer, M, Roth, G, Aravkin, A, Zheng, P, Abate, K, Abate, Y, Abbafati, C, Abbasgholizadeh, R, Abbasi, M, Abbasian, M, Abbasifard, M, Abbasi-Kangevari, M, Abd ElHafeez, S, Abd-Elsalam, S, Abdi, P, Abdollahi, M, Abdoun, M, Abdulah, D, Abdullahi, A, Abebe, M, Abedi, A, Abegaz, T, Abeldaño Zuñiga, R, Abiodun, O, Abiso, T, Aboagye, R, Abolhassani, H, Abouzid, M, Aboye, G, Abreu, L, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abukhadijah, H, Aburuz, S, Abu-Zaid, A, Adane, M, Addo, I, Addolorato, G, Adedoyin, R, Adekanmbi, V, Aden, B, Adetunji, J, Adeyeoluwa, T, Adha, R, Adibi, A, Adnani, Q, Adzigbli, L, Afolabi, A, Afolabi, R, Afshin, A, Afyouni, S, Afzal, M, Afzal, S, Agampodi, S, Agbozo, F, Aghamiri, S, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, B, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, N, Ahmad, S, Ahmad, T, Ahmed, A, Ahmed, L, Ahmed, M, Ahmed, S, Ajami, M, Akalu, G, Akara, E, Akbarialiabad, H, Akhlaghi, S, Akinosoglou, K, Akinyemiju, T, Akkaif, M, Akkala, S, Akombi-Inyang, B, Al Awaidy, S, Al Hasan, S, Alahdab, F, AL-Ahdal, T, Alalalmeh, S, Alalwan, T, Al-Aly, Z, Alam, K, Alam, N, Alanezi, F, Alanzi, T, Albakri, A, Albataineh, M, Aldhaleei, W, Aldridge, R, Alemayohu, M, Alemu, Y, Al-Fatly, B, Al-Gheethi, A, Al-Habbal, K, Alhabib, K, Alhassan, R, Ali, A, Ali, B, Ali, I, Ali, L, Ali, M, Ali, R, Ali, S, Ali, W, Alicandro, G, Alif, S, Aljunid, S, Alla, F, Al-Marwani, S, Al-Mekhlafi, H, Almustanyir, S, Alomari, M, Alonso, J, Alqahtani, J, Alqutaibi, A, Al-Raddadi, R, Alrawashdeh, A, Al-Rifai, R, Alrousan, S, Al-Sabah, S, Alshahrani, N, Altaany, Z, Altaf, A, Al-Tawfiq, J, Altirkawi, K, Aluh, D, Alvis-Guzman, N, Alvis-Zakzuk, N, Alwafi, H, Al-Wardat, M, Al-Worafi, Y, Aly, H, Aly, S, Alzoubi, K, Al-Zyoud, W, Amaechi, U, Aman Mohammadi, M, Amani, R, Amiri, S, Amirzade-Iranaq, M, Ammirati, E, Amu, H, Amugsi, D, Amusa, G, Ancuceanu, R, Anderlini, D, Anderson, J, Andrade, P, Andrei, C, Andrei, T, Anenberg, S, Angappan, D, Angus, C, Anil, A, Anil, S, Anjum, A, Anoushiravani, A, Antonazzo, I, Antony, C, Antriyandarti, E, Anuoluwa, B, Anvari, D, Anvari, S, Anwar, S, Anwer, R, Anyabolo, E, Anyasodor, A, Apostol, G, Arabloo, J, Arabzadeh Bahri, R, Arafat, M, Areda, D, Aregawi, B, Aremu, A, Armocida, B, Arndt, M, Ärnlöv, J, Arooj, M, Artamonov, A, Artanti, K, Aruleba, I, Arumugam, A, Asbeutah, A, Asgary, S, Asgedom, A, Ashbaugh, C, Ashemo, M, Ashraf, T, Askarinejad, A, Assmus, M, Astell-Burt, T, Athar, M, Athari, S, Atorkey, P, Atreya, A, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awoke, A, Ayala Quintanilla, B, Ayatollahi, H, Ayestas Portugal, C, Ayuso-Mateos, J, Azadnajafabad, S, Azevedo, R, Azhar, G, Azizi, H, Azzam, A, Backhaus, I, Badar, M, Badiye, A, Bagga, A, Baghdadi, S, Bagheri, N, Bagherieh, S, Bahrami Taghanaki, P, Bai, R, Baig, A, Baker, J, Bakkannavar, S, Balasubramanian, M, Baltatu, O, Bam, K, Bandyopadhyay, S, Banik, B, Banik, P, Banke-Thomas, A, Bansal, H, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, S, Bärnighausen, T, Barone-Adesi, F, Barqawi, H, Barrero, L, Barrow, A, Barteit, S, Basharat, Z, Basiru, A, Basso, J, Bastan, M, Basu, S, Batchu, S, Batra, K, Batra, R, Baune, B, Bayati, M, Bayileyegn, N, Beaney, T, Behnoush, A, Beiranvand, M, Béjot, Y, Bekele, A, Belgaumi, U, Bell, A, Bell, M, Bello, M, Bello, O, Belo, L, Beloukas, A, Bendak, S, Bennett, D, Bennitt, F, Bensenor, I, Benzian, H, Beran, A, Berezvai, Z, Bernabe, E, Bernstein, R, Bettencourt, P, Bhagavathula, A, Bhala, N, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhat, A, Bhat, V, Bhatti, G, Bhatti, J, Bhatti, M, Bhatti, R, Bhuiyan, M, Bhutta, Z, Bikbov, B, Bishai, J, Bisignano, C, Biswas, A, Biswas, B, Biswas, R, Bjørge, T, Boachie, M, Boakye, H, Bockarie, M, Bodolica, V, Bodunrin, A, Bogale, E, Bolla, S, Boloor, A, Bonakdar Hashemi, M, Boppana, S, Bora Basara, B, Borhany, H, Botero Carvajal, A, Bouaoud, S, Boufous, S, Bourne, R, Boxe, C, Braithwaite, D, Brant, L, Brar, A, Breitborde, N, Breitner, S, Brenner, H, Briko, A, Britton, 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Pragyan Paramita, Parikh, Romil R, Park, Seoyeon, Park, Sungchul, Parsons, Nicholas, Pashaei, Ava, Pasovic, Maja, Passera, Roberto, Patil, Shankargouda, Patoulias, Dimitrios, Patthipati, Venkata Suresh, Paudel, Uttam, Pawar, Shrikant, Pazoki Toroudi, Hamidreza, Peden, Amy E, Pedersini, Paolo, Peng, Minjin, Pensato, Umberto, Pepito, Veincent Christian Filipino, Peprah, Emmanuel K, Peprah, Prince, Peres, Mario F P, Perianayagam, Arokiasamy, Perico, Norberto, Perna, Simone, Pesudovs, Konrad, Petcu, Ionela-Roxana, Petermann-Rocha, Fanny Emily, Pham, Hoang Tran, Philip, Anil K, Phillips, Michael R, Pickering, Brandon V, Pierannunzio, Daniela, Pigeolet, Manon, Pigott, David M, Piracha, Zahra Zahid, Piradov, Michael A, Pisoni, Enrico, Piyasena, Mapa Prabhath, Plass, Dietrich, Plotnikov, Evgenii, Poddighe, Dimitri, Polkinghorne, Kevan R, Poluru, Ramesh, Pond, Constance Dimity, Popovic, Djordje S, Porru, Fabio, Postma, Maarten J, Poudel, Govinda Raj, Pour-Rashidi, Ahmad, Pourshams, Akram, Pourtaheri, Naeimeh, Prabhu, Disha, Prada, Sergio I, Pradhan, Jalandhar, Pradhan, Pranil Man Singh, Prasad, Manya, Prates, Elton Junio Sady, Purnobasuki, Hery, Purohit, Bharathi M, Puvvula, Jagadeesh, Qasim, Nameer Hashim, Qattea, Ibrahim, Qazi, Asma Saleem, Qian, Gangzhen, Qiu, Suli, Rabiee Rad, Mehrdad, Radfar, Amir, Radhakrishnan, Raghu Anekal, Radhakrishnan, Venkatraman, Raeisi Shahraki, Hadi, Rafferty, Quinn, Rafiei, Alireza, Raggi, Alberto, Raghav, Pankaja Raghav, Raheem, Nasiru, Rahim, Fakher, Rahim, Md Jillur, Rahimifard, Mahban, Rahimi-Movaghar, Vafa, Rahman, Md Obaidur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Bita, Rahmanian, Mohammad, Rahmanian, Nazanin, Rahmanian, Vahid, Rahmati, Masoud, Rahmawaty, Setyaningrum, Raimondo, Diego, Rajaa, Sathish, Rajendran, Vinoth, Rajput, Prashant, Ramadan, Mahmoud Mohammed, Ramasamy, Shakthi Kumaran, Ramasubramani, Premkumar, Ramazanu, Sheena, Ramteke, Pramod W, Rana, Juwel, Rana, Kritika, Ranabhat, Chhabi Lal, Rane, Amey, Rani, Usha, Ranta, Annemarei, Rao, Chythra R, Rao, Mithun, Rao, Puja C, Rao, Sowmya J, Rasella, Davide, Rashedi, Sina, Rashedi, Vahid, Rashidi, Mahsa, Rashidi, Mohammad-Mahdi, Rasouli-Saravani, Ashkan, Ratan, Zubair Ahmed, Rathnaiah Babu, Giridhara, Rauniyar, Santosh Kumar, Rautalin, Ilari, Rawaf, David Laith, Rawaf, Salman, Rawassizadeh, Reza, Razo, Christian, Reda, Zinabu Ferede Ferede, Reddy, Murali Mohan Rama Krishna, Redwan, Elrashdy Moustafa Mohamed, Reifels, Lennart, Reitsma, Marissa B, Remuzzi, Giuseppe, Reshmi, Bhageerathy, Resnikoff, Serge, Restaino, Stefano, Reyes, Luis Felipe, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Negar, Rezaeian, Mohsen, Rhee, Taeho Gregory, Riaz, Mavra A, Ribeiro, Antonio Luiz P, Rickard, Jennifer, Robinson-Oden, Hannah Elizabeth, Rodrigues, Célia Fortuna, Rodrigues, Mónica, Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Romadlon, Debby Syahru, Ronfani, Luca, Rosauer, Jennifer Jacqueline, Roshandel, Gholamreza, Rostamian, Morteza, Rotimi, Kunle, Rout, Himanshu Sekhar, Roy, Bedanta, Roy, Nitai, Rubagotti, Enrico, Ruela, Guilherme de Andrade, Rumisha, Susan Fred, Runghien, Tilleye, Russo, Michele, Ruzzante, Sacha Walde, S N, Chandan, Saad, Aly M A, Saber, Korosh, Saber-Ayad, Maha Mohamed, Sabour, Siamak, Sacco, Simona, Sachdev, Perminder S, Sachdeva, Rajesh, Saddik, Basema, Saddler, Adam, Sadee, Bashdar Abuzed, Sadeghi, Ehsan, Sadeghi, Masoumeh, Sadeghi Majd, Elham, Saeb, Mohammad Reza, Saeed, Umar, Safari, Mehdi, Safi, Sare, Safi, Sher Zaman, Sagar, Rajesh, Sagoe, Dominic, Saheb Sharif-Askari, Fatemeh, Saheb Sharif-Askari, Narjes, Sahebkar, Amirhossein, Sahoo, Soumya Swaroop, Sahu, Monalisha, Saif, Zahra, Sajid, Mirza Rizwan, Sakshaug, Joseph W, Salam, Nasir, Salamati, Payman, Salami, Afeez Abolarinwa, Salaroli, Luciane B, Salehi, Leili, Salehi, Sana, Salem, Marwa Rashad, Salem, Mohammed Z Y, Salihu, Dauda, Salimi, Sohrab, Salum, Giovanni A, Samadi Kafil, Hossein, Samadzadeh, Sara, Samodra, Yoseph Leonardo, Samuel, Vijaya Paul, Samy, Abdallah M, Sanabria, Juan, Sanjeev, Rama Krishna, Sanna, Francesca, Santomauro, Damian Francesco, Santric-Milicevic, Milena M, Sarasmita, Made Ary, Saraswathy, Sivan Yegnanarayana Iyer, Saravanan, Aswini, Saravi, Babak, Sarikhani, Yaser, Sarmiento-Suárez, Rodrigo, Sarode, Gargi Sachin, Sarode, Sachin C, Sartorius, Benn, Sarveazad, Arash, Sathian, Brijesh, Sattin, Davide, Sawhney, Monika, Saya, Ganesh Kumar, Sayeed, Abu, Sayeed, Md Abu, Sayyah, Mehdi, Schinckus, Christophe, Schmidt, Maria Inês, Schuermans, Art, Schumacher, Austin E, Schutte, Aletta Elisabeth, Schwarzinger, Michaël, Schwebel, David C, Schwendicke, Falk, Selvaraj, Siddharthan, Semreen, Mohammad H, Senthilkumaran, Subramanian, Serban, Dragos, Serre, Marc L, Sethi, Yashendra, Shafie, Mahan, Shah, Humaira, Shah, Nilay S, Shah, Pritik A, Shah, Syed Mahboob, Shahbandi, Ataollah, Shaheen, Amira A, Shahid, Samiah, Shahid, Wajeehah, Shahsavari, Hamid R, Shahwan, Moyad Jamal, Shaikh, Masood Ali, Shaikh, Summaiya Zareen, Shalash, Ali S, Sham, Sunder, Shamim, Muhammad Aaqib, Shams-Beyranvand, Mehran, Shamshirgaran, Mohammad Ali, Shamsi, Mohammad Anas, Shanawaz, Mohd, Shankar, Abhishek, Sharfaei, Sadaf, Sharifan, Amin, Sharifi-Rad, Javad, Sharma, Manoj, Sharma, Ujjawal, Sharma, Vishal, Shastry, Rajesh P, Shavandi, Amin, Shehabeldine, Amr Mohamed Elsayed, Shehzadi, Somia, Sheikh, Aziz, Shen, Jiabin, Shetty, Adithi, Shetty, B Suresh Kumar, Shetty, Pavanchand H, Shiani, Amir, Shiferaw, Desalegn, Shigematsu, Mika, Shin, Min-Jeong, Shiri, Rahman, Shittu, Aminu, Shiue, Ivy, Shivakumar, K M, Shivarov, Velizar, Shool, Sina, Shorofi, Seyed Afshin, Shrestha, Rajan, Shrestha, Sunil, Shuja, Kanwar Hamza, Shuval, Kerem, Si, Yafei, Siddig, Emmanuel Edwar, Silva, Diego Augusto Santos, Silva, Luís Manuel Lopes Rodrigues, Silva, Soraia, Silva, Thales Philipe R, Simpson, Colin R, Singh, Abhinav, Singh, Balbir Bagicha, Singh, Baljinder, Singh, Garima, Singh, Harmanjit, Singh, Jasvinder A, Singh, Mahendra, Singh, Narinder Pal, Singh, Paramdeep, Singh, Surjit, Sinto, Robert, Sivakumar, Shravan, Siwal, Samarjeet Singh, Skhvitaridze, Natia, Skou, Søren T, Sleet, David A, Sobia, Farrukh, Soboka, Matiwos, Socea, Bogdan, Solaimanian, Shahabaddin, Solanki, Ranjan, Solanki, Shipra, Soliman, Sameh S M, Somayaji, Ranjani, Song, Yi, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Spartalis, Michael, Spearman, Sandra, Spencer, Cory N, Sreeramareddy, Chandrashekhar T, Stachteas, Panagiotis, Stafford, Lauryn K, Stanaway, Jeffrey D, Stanikzai, Muhammad Haroon, Stein, Caroline, Stein, Dan J, Steinbeis, Fridolin, Steiner, Caitlyn, Steinke, Sabine, Steiropoulos, Paschalis, Stockfelt, Leo, Stokes, Mark A, Straif, Kurt, Stranges, Saverio, Subedi, Narayan, Subramaniyan, Vetriselvan, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sundström, Johan, Sunkersing, David, Sunnerhagen, Katharina S, Suresh, Vinay, Swain, Chandan Kumar, Szarpak, Lukasz, Szeto, Mindy D, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabche, Celine, Tabish, Mohammad, Tadakamadla, Santosh Kumar, Taheri Abkenar, Yasaman, Taheri Soodejani, Moslem, Taherkhani, Amir, Taiba, Jabeen, Takahashi, Ken, Talaat, Iman M, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tang, Haosu, Tat, Nathan Y, Taveira, Nuno, Tefera, Yibekal Manaye, Tehrani-Banihashemi, Arash, Temesgen, Worku Animaw, Temsah, Mohamad-Hani, Teramoto, Masayuki, Terefa, Dufera Rikitu, Teye-Kwadjo, Enoch, Thakur, Ramna, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thayakaran, Rasiah, Thirunavukkarasu, Sathish, Thomas, Nihal, Thomas, Nikhil Kenny, Tian, Jing, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tolani, Musliu Adetola, Tolossa, Tadesse, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Fotis, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Trabelsi, Khaled, Tran, Jasmine T, Tran, Mai Thi Ngoc, Tran, Nghia Minh, Trico, Domenico, Trihandini, Indang, Troeger, Christopher E, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Udoakang, Aniefiok John, Udoh, Arit, Ullah, Atta, Ullah, Saeed, Ullah, Sana, Umair, Muhammad, Umakanthan, Srikanth, Unim, Brigid, Unnikrishnan, Bhaskaran, Upadhyay, Era, Urso, Daniele, Usman, Jibrin Sammani, Vaithinathan, Asokan Govindaraj, Vakili, Omid, Valenti, Mario, Valizadeh, Rohollah, Van den Eynde, Jef, van Donkelaar, Aaron, Varga, Orsolya, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vasic, Milena, Vaziri, Siavash, Venketasubramanian, Narayanaswamy, Verghese, Nicholas Alexander, Verma, Madhur, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Villalobos-Daniel, Victor E, Villani, Leonardo, Villanueva, Gabriela Ines, Vinayak, Manish, Violante, Francesco S, Vlassov, Vasily, Vo, Bay, Vollset, Stein Emil, Volovat, Simona Ruxandra, Vos, Theo, Vujcic, Isidora S, Waheed, Yasir, Wang, Cong, Wang, Fang, Wang, Shu, Wang, Yanzhong, Wang, Yuan-Pang, Wanjau, Mary Njeri, Waqas, Muhammad, Ward, Paul, Waris, Abdul, Wassie, Emebet Gashaw, Weerakoon, Kosala Gayan, Weintraub, Robert G, Weiss, Daniel J, Weiss, Eli J, Weldetinsaa, Haftom Legese Legese, Wells, Katherine M, Wen, Yi Feng, Wiangkham, Taweewat, Wickramasinghe, Nuwan Darshana, Wilkerson, Caroline, Willeit, Peter, Wilson, Shadrach, Wong, Yen Jun, Wongsin, Utoomporn, Wozniak, Sarah, Wu, Chenkai, Wu, Dongze, Wu, Felicia, Wu, Zenghong, Xia, Juan, Xiao, Hong, Xu, Suowen, Xu, Xiaoyue, Xu, Yvonne Yiru, Yadav, Mukesh Kumar, Yaghoubi, Sajad, Yamagishi, Kazumasa, Yang, Lin, Yano, Yuichiro, Yaribeygi, Habib, Yasufuku, Yuichi, Ye, Pengpeng, Yesodharan, Renjulal, Yesuf, Subah Abderehim, Yezli, Saber, Yi, Siyan, Yiğit, Arzu, Yigzaw, Zeamanuel Anteneh, Yin, Dehui, Yip, Paul, Yismaw, Malede Berihun, Yon, Dong Keon, Yonemoto, Naohiro, You, Yuyi, Younis, Mustafa Z, Yousefi, Zabihollah, Yu, Chuanhua, Yu, Yong, Zadey, Siddhesh, Zadnik, Vesna, Zakham, Fathiah, Zaki, Nazar, Zakzuk, Josefina, Zamagni, Giulia, Zaman, Sojib Bin, Zandieh, Ghazal G Z, Zanghì, Aurora, Zar, Heather J, Zare, Iman, Zarimeidani, Fatemeh, Zastrozhin, Mikhail Sergeevich, Zeng, Youjie, Zhai, Chunxia, Zhang, Anthony Lin, Zhang, Haijun, Zhang, Liqun, Zhang, Meixin, Zhang, Yunquan, Zhang, Zhenyu, Zhang, Zhi-Jiang, Zhao, Hanqing, Zhao, Jeff T, Zhao, Xiu-Ju George, Zhao, Yang, Zhao, Yong, Zhong, Chenwen, Zhou, Jingjing, Zhou, Juexiao, Zhou, Shangcheng, Zhu, Bin, Zhu, Lei, Zhu, Zhaohua, Ziaeian, Boback, Ziafati, Makan, Zielińska, Magdalena, Zimsen, Stephanie R M, Zoghi, Ghazal, Zoller, Thomas, Zumla, Alimuddin, Zyoud, Sa'ed H, Zyoud, Samer H, Murray, Christopher J L, and Gakidou, Emmanuela
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- 2024
24. Deep learning-based design model for suction caissons on clay
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Yin, Xilin, Wang, Huan, Pisanò, Federico, Gavin, Ken, Askarinejad, Amin, and Zhou, Hongpeng
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- 2023
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25. Fire & Life Safety : The Movement Toward Intrinsically Fire-Safe, Rationally Optimized Structures
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LaMalva, Kevin, Askarinejad, Peyman, Lay, Simon, Mendis, Priyan, Nguyen, Kate, and Gernay, Thomas
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- 2022
26. Lateral behavior of monopiles in sand under monotonic loading: Insights and a new simple design model
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Wang, H., Lehane, B.M., Bransby, M.F., Wang, L.Z., Hong, Y., and Askarinejad, A.
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- 2023
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27. Critical appraisal skills training to undergraduate medical students: A Randomized Control Study
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SARVIN SASANNIA, MITRA AMINI, MAHSA MOOSAVI, AMIR ASKARINEJAD, MANA MOGHADAMI, HASTI ZIAEE, and FATEMEH VARA
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critical appraisal ,evidence-based medicine ,medical education ,medical students ,training ,Education (General) ,L7-991 ,Medicine (General) ,R5-920 - Abstract
Introduction: Critical appraisal skills are presumed to perform a principal part in evidence-based health education and practice methods. This study aimed to design an educational intervention around critical appraisal in this context, evaluate the efficacy of the teaching methods, and investigate critical appraisal skills training to undergraduate medical students.Methods: In this prospective Randomized Control Trial (RCT), 256 sixth-year undergraduate medical students from Shiraz University of Medical Science, Shiraz, Iran, participated. 124 of the students were not taught critical thinking methods as a control group, and 132 participants were taught critical thinking methods by multimedia and attended an online Critical Appraisal Skills (CAS) training workshop as an intervention group. We used the Critical Appraisal Skills Programme (CASP) questionnaire to evaluate students’ knowledge, attitude, confidence, and appraisal skills. This questionnaire was translated into Persian for the first time in Iran by Shokooh Varai, et al. They investigated its validity and reliability,the reliability of the questionnaire being obtained by the Richardson Index (0.75), and the validity being confirmed by some faculty members of Tehran Nursing and Midwifery School. To compare both control and intervention groups, we used an independent t-test and a Chi-Square test at a significance level of 5%, and to analyze the demographic information, we applied some descriptive statistics: frequency, frequency percentage, mean and standard deviation. Allof the statistical approaches were analyzed, using SPSS 22.Results: In all dimensions of the critical appraisal skills, medical students who completed the critical appraisal multi-media training and workshop performed better than those who did not (control group), and this difference was statistically significant (P0.05). Also, the Cohen’s D effect size values in the knowledge and confidencedimensions were greater than 0.5; this meant a large effect. Regarding the attitude and appraises Skill dimensions, the effect size was between 0.2 and 0.5, which meant a medium effect.Conclusion: Teaching critical appraisal skills through multi-media and CAS online workshops to medical students effectively improves the students’ knowledge and confidence in appraising articles. This teaching also indicated a medium effect on students’ attitudes and behavior. Our findings can justify implementing critical appraisal skills teaching modules in the undergraduate medical education curriculum.
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- 2022
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28. Centrifuge study on the CPT based p-y models for the monopiles
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Wang, Huan, primary, van Zanten, Daan Veldhuijzen, additional, de Lange, Dirk, additional, Pisanò, Federico, additional, Gavin, Ken, additional, and Askarinejad, Amin, additional
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- 2022
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29. Impacts of opium addiction on patterns of angiographic findings in patients with acute coronary syndrome
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Alireza Abdiardekani, Maryam Salimi, Shirin Sarejloo, Mehdi Bazrafshan, Amir Askarinejad, Amirhossein Salimi, Hanieh Bazrafshan, Shokoufeh Khanzadeh, Salar Javanshir, Armin Attar, Mohsen Esmaeili, and Hamed Bazrafshan Drissi
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Medicine ,Science - Abstract
Abstract Opium is one of the most abused substances in the Middle East. The effects of opium use on coronary artery disease (CAD) are a matter of debate. This study aimed to assess the association between opium use and angiographic findings as well as the complexity of CAD in patients with acute coronary syndrome (ACS) diagnosis. In this case–control study, all patients admitted for coronary angiography from 2019 to 2020 were evaluated. After applying the eligibility criteria, they were categorized into two groups opium and non-opium based on their history of opium use. Both groups were matched regarding the demographic features. The prevalence, location, and severity of obstruction of the vessels were compared between the non-opium and opium groups. The SYNTAX score was also calculated and compared between the two groups. The scores ≤ 22 are considered low risk and the higher scores are a non-low risk. P value
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- 2022
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30. Evaluating the Efficiency of Decision Making Units in Fuzzy two-stage DEA Models
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Roohollah Abbasi Shureshjani, Sara Askarinejad, and Ali Asghar Foroughi
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Data envelopment analysis (DEA) ,two-stage DEA ,fuzzy network DEA ,fuzzy numbers ,ranking ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Mathematics ,QA1-939 - Abstract
Data envelopment analysis (DEA) is an optimization method to assess the efficiency of decision-making units with multiple-inputs/multiple-outputs assumption. Most real-life issues contain more than one stage unit which needs multiple-stage data envelopment analysis models to be solved. Moreover, the inputs and outputs of the units are rarely measured accurately in real-life problems, hence fuzzy data envelopment analysis approaches can be significantly helpful in calculating efficiency scores. In this study, an approach for evaluating the performance of decision-making units (DMUs) in fuzzy two-stage DEA models is developed. The developed model is a parametric program based on alpha-cuts. The dependence on alpha allows the manager to compare and rank DMUs based on his/her degree of certainty and after the selection of alpha, our proposed model becomes linear. Furthermore, a theorem is proposed and proved for conventional multiplicative two-stage DEA models with the assumption of Variable Returns to Scale. This theorem can be used to evaluate the correctness of the results. Finally, by two illustrative examples, the ability of the proposed approach to solve fuzzy two-stage DEA models is shown, and the obtained results are compared to that of some other methods in this field.
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- 2022
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31. Experimental and numerical investigation of the effect of vertical loading on the lateral behaviour of monopiles in sand
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Li, Q., Gavin, K.G., Askarinejad, A., and Prendergast, L.J.
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Air-turbines -- Environmental aspects ,Sand -- Mechanical properties -- Testing ,Dynamic testing -- Methods ,Piling (Civil engineering) -- Mechanical properties -- Testing ,Earth sciences - Abstract
The influence of combined loading on the response of monopiles used to support offshore wind turbines (OWTs) is investigated in this paper. In current practice, resistance of monopiles to vertical and lateral loading is considered separately. As OWT size has increased, the slenderness ratio (pile length, L, normalised by diameter, D) has decreased and foundations are tending towards intermediate footings with geometries between those of piles and shallow foundations. Whilst load interaction effects are not significant for slender piles, they are critical for shallow footings. Previous research on pile load interaction has resulted in conflicting findings, potentially arising from variations in boundary conditions and pile slenderness. In this study, monotonic lateral load tests were conducted in a geotechnical centrifuge on vertically loaded monopiles in dense sand. Results indicate that for piles with L/D = 5, increasing vertical loading improved pile initial stiffness and lateral capacity. A similar trend was observed for piles with L/D = 3, when vertical loading was below [approximately equal to]45% of the pile's ultimate vertical capacity. For higher vertical loads considered, results tended towards the behaviour observed for shallow footings. Numerical analyses conducted show that changes in mean effective stress are potentially responsible for the observed behaviour. Key words: combined loading, monopiles, sand, centrifuge modelling, lateral soil resistance - displacement (p-y) curves. Cet article etudie l'influence des charges combinees sur la reponse des monopiles utilises pour soutenir les eoliennes en mer (OWT). Dans la pratique actuelle, la resistance des monopieux aux charges verticales et laterales est consideree separement. Avec l'augmentation de la taille des OWT, le rapport d'elancement (longueur du pieu, L, normalisee par le diametre, D) a diminue, et les fondations tendent vers des semelles intermediaires dont la geometrie se situe entre celle des pieux et celle des fondations superficielles. Alors que les effets d'interaction des charges ne sont pas significatifs pour les pieux minces, ils sont critiques pour les semelles peu profondes. Les recherches anterieures sur l'interaction entre les charges sur les pieux ont donne lieu a des resultats contradictoires, qui peuvent etre dus a des variations des conditions limites et de l'elancement des pieux. Dans cette etude, des essais de charge laterale monotone ont ete realises dans une centrifugeuse geotechnique sur des monopieux charges verticalement dans du sable dense. Les resultats indiquent que pour les pieux avec L/D = 5, l'augmentation de la charge verticale ameliore la rigidite initiale du pieu et sa capacite laterale. Une tendance similaire a ete observee pour les pieux avec L/D = 3, lorsque la charge verticale etait inferieure a [approximately equal to]45 % de la capacite verticale ultime du pieu. Pour les charges verticales plus elevees considerees, les resultats tendent vers le comportement observe pour les semelles peu profondes. Les analyses numeriques effectuees montrent que les changements de la contrainte effective moyenne sont potentiellement responsables du comportement observe. [Traduit par la Redaction] Mots-cles : chargement combine, monopieux, sable, modelisation par centrifugeuse, courbes de resistance laterale du sol deplacement (p-y)., 1. Introduction The development of offshore wind turbines (OWTs) has experienced rapid growth in recent years and is considered the most mature technology to facilitate the energy transition (Li et [...]
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- 2022
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32. LEFT VENTRICULAR STRAIN IN PATIENTS WITH HYPERTENSIVE HEART DISEASE AND NORMAL EJECTION FRACTION ASSESSED BY SPECKLE TRACKING ECHOCARDIOGRAPHY
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Drissi, Hamed Bazrafshan, primary, Khesali, Hamideh, additional, Barzegar, Sara, additional, Kaviani, Raheleh, additional, Askarinejad, Amir, additional, and Ghaznavi, Mohamad Ali, additional
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- 2024
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33. Interfacial delamination of a sandwich layer by aqueous corrosion
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Askarinejad, Sina, Deshpande, Vikram, and Fleck, Norman
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- 2022
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34. A simple rotational spring model for laterally loaded rigid piles in sand
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Wang, H., Lehane, B.M., Bransby, M.F., Askarinejad, A., Wang, L.Z., and Hong, Y.
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- 2022
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35. Impacts of opium addiction on patterns of angiographic findings in patients with acute coronary syndrome
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Abdiardekani, Alireza, Salimi, Maryam, Sarejloo, Shirin, Bazrafshan, Mehdi, Askarinejad, Amir, Salimi, Amirhossein, Bazrafshan, Hanieh, Khanzadeh, Shokoufeh, Javanshir, Salar, Attar, Armin, Esmaeili, Mohsen, and Bazrafshan Drissi, Hamed
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- 2022
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36. Water Exfiltration from Bedrock: A Drastic Landslide Triggering Mechanism
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Askarinejad, Amin, Springman, Sarah M., Sassa, Kyoji, Series Editor, Arbanas, Željko, editor, Bobrowsky, Peter T., editor, Konagai, Kazuo, editor, and Takara, Kaoru, editor
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- 2021
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37. Effect of Different Structural Parameters on Track Lateral Stability
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Askarinejad, H., Yu, F., Qiu, L., Cui, J., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Dao, Vinh, editor, and Kitipornchai, Sritawat, editor
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- 2021
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38. Empagliflozin to prevent post‐operative atrial fibrillation in patients undergoing coronary artery bypass graft surgery: Rationale and design of the EMPOAF trial.
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Aghakouchakzadeh, Maryam, Hosseini, Kaveh, Haghjoo, Majid, Mirzabeigi, Parastoo, Tajdini, Masih, Talasaz, Azita H., Jalali, Arash, Askarinejad, Amir, Kohansal, Erfan, Hedayat, Behnam, Parvas, Ehsan, Bozorgi, Ali, Bagheri, Jamshid, Givtaj, Nader, Hadavand, Naser, Hajighasemi, Alireza, Tafti, Seyed Hossein Ahmadi, Hosseini, Saeid, Sadeghipour, Parham, and Kakavand, Hessam
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PREVENTION of surgical complications ,ATRIAL fibrillation prevention ,EMPAGLIFLOZIN ,RANDOMIZED controlled trials ,CORONARY artery bypass ,DRUG efficacy - Abstract
Background: Postoperative atrial fibrillation (POAF) is one of the most common types of acute AF and can complicate the treatment course of approximately one third of patients undergoing cardiac surgery. Sodium‐glucose cotransporter‐2 (SGLT2) inhibitors are among the newest antidiabetic drugs which can be therapeutic options for preventing POAF by different mechanisms. Methods: Empagliflozin to Prevent POAF (EMPOAF) is an interventional, investigator‐initiated, double‐blind, placebo‐controlled, multicenter, randomized controlled trial which will be conducted in two referral teaching cardiology hospitals in Tehran. Four‐hundred ninety‐two adult patients who are scheduled for elective isolated coronary artery bypass graft (CABG) surgery will be randomly assigned to one of the groups of intervention (empagliflozin 10 mg daily) or placebo starting at least 3 days before surgery until discharge. Key exclusion criteria are a history of diabetes mellitus, AF, ketoacidosis, or recurrent urinary tract infections along with severe renal or hepatic impairment, unstable hemodynamics, and patients receiving SGLT2 inhibitors for another indication. The primary outcome will be the incidence of POAF. Key secondary endpoints will be the composite rate of life‐threatening arrhythmias, postoperative acute kidney injury, hospitalization length, in‐hospital mortality, stroke, and systemic embolization. Key safety endpoints will be the rate of life‐threatening and/or genitourinary tract infections, hypoglycemia, and ketoacidosis. Conclusions: EMPOAF will prospectively evaluate whether empagliflozin 10 mg daily can reduce the rate of POAF in patients undergoing elective CABG. Enrolment into this study has started by November 2023 and is expected to be ended before the end of 2025. [ABSTRACT FROM AUTHOR]
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- 2024
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39. Impact of scour on lateral resistance of wind turbine monopiles: an experimental study
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Li, Q., Askarinejad, A., and Gavin, K.
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Scour and fill (Geomorphology) -- Environmental aspects ,Air-turbines -- Mechanical properties ,Piling (Civil engineering) -- Mechanical properties -- Testing ,Earth sciences - Abstract
The majority of offshore wind structures are supported on large-diameter, rigid monopile foundations. These piles may be subjected to scour due to the waves and currents that causes a loss of soil support and consequently decreases the pile capacity and system stiffness. The results of numerical models suggest that the shape of the scour hole affects the magnitude of pile capacity loss; however, there is a dearth of experimental test data that quantify this effect. This paper presents a series of centrifuge model tests on an instrumented model pile that investigates the effects of scour-hole geometry on the response of a laterally loaded pile embedded in sand. The pile instrumentation allowed load-displacement and p-y (soil reaction--displacement) curves to be derived. Three scour geometries (global, local wide, and local narrow) and three scour depths (1D, 1.5D, and 2D; where D is pile diameter) were modelled. For all three scour types, pile moment capacity decreased almost linearly with increase of scour depth. Simple empirical relations were proposed to evaluate the detrimental influence of scour on the pile moment capacity. A new method has been developed to allow designers to quantify the effect of scour-hole shape and severity of scour on the pile response. Key words: offshore wind monopiles, scour, moment capacity, centrifuge modelling, scour-hole shapes, p-y curves. La majorite des structures eoliennes offshore reposent sur des fondations monopiles rigides de grand diametre. Ces pieux peuvent etre soumis a l'affouillement du aux vagues et aux courants, ce qui entraine une perte de support du sol et, par consequent, une diminution de la capacite des pieux et de la rigidite du systeme. Les resultats des modeles numeriques suggerent que la forme du trou d'affouillement affecte l'ampleur de la perte de capacite des piles, Cependant, les donnees experimentales permettant de quantifier cet effet sont rares. Cet article presente une serie de tests de modeles de centrifugeuses sur une pile modele instrumentee qui etudie les effets de la geometrie des trous d'affouillement sur la reponse d'une pile chargee lateralement et enfoncee dans le sable. L'instrumentation des pieux a permis de deriver les courbes de charge-deplacement et p-y (reaction--deplacement du sol). Trois geometries d'affouillement (globale, locale large et locale etroite) et trois profondeurs d'affouillement (1D, 1,5D et 2D; ou D est le diametre des pieux) ont ete modelisees. Pour les trois types d'affouillement, la capacite de moment de pieu a diminue presque lineairement avec l'augmentation de la profondeur d'affouillement. Des relations empiriques simples ont ete proposees pour evaluer l'influence nefaste de l'affouillement sur la capacite de moment de pieu. Une nouvelle methode a ete mise au point pour permettre aux concepteurs de quantifier l'effet de la forme du trou d'affouillement et de la gravite de l'affouillement sur la reponse du pieu. [Traduit par la Redaction] Mots-cles : monopiles de vent en mer, scour, capacite de moment, modelisation de centrifugeuse, formes de trous de scour, courbes p-y., 1. Introduction Monopiles are the most economical foundation system for offshore wind turbines (OWTs) installed in shallow coastal waters (Byrne et al. 2019). The typical slenderness ratio (L/D; where L [...]
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- 2021
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40. Large-scale physical modelling of static liquefaction in gentle submarine slopes
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Maghsoudloo, Arash, Askarinejad, Amin, de Jager, Richard R., Molenkamp, Frans, and Hicks, Michael A.
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- 2021
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41. Ultimate lateral pressures exerted on buried pipelines by the initiation of submarine landslides
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Zhang, Weiyuan and Askarinejad, Amin
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- 2021
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42. Deformation and Toughening Mechanisms in Nacreous Structures
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Askarinejad, Sina, primary, Wang, Shuai, additional, Shalchy, Faezeh, additional, Rosewitz, Jessica, additional, Choshali, Habibeh A., additional, and Rahbar, Nima, additional
- Published
- 2022
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43. Role of interphase layers in mechanical properties of nacreous structures
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Askarinejad, Sina, Shalchy, Faezeh, and Rahbar, Nima
- Published
- 2021
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44. Brugada syndrome in Iran: Insights from a 12‐year longitudinal study
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Haghjoo, Majid, primary, Askarinejad, Amir, additional, Madadi, Shabnam, additional, Fazelifar, Amirfarjam, additional, Kamali, Farzad, additional, Alizadeh‐Diz, Abolfath, additional, and Emkanjoo, Zahra, additional
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- 2024
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45. Toughening and Strengthening Mechanisms in Bamboo from Atoms to Fibers
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Askarinejad, Sina, Youssefian, Sina, Rahbar, Nima, Andreoni, Wanda, editor, and Yip, Sidney, editor
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- 2020
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46. Mode II fracture of an MMA adhesive layer: Theory versus experiment
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Askarinejad, Sina, Martínez-Pañeda, Emilio, Cuesta, I. Ivan, and Fleck, Norman
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- 2021
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47. Failure of a pre-cracked epoxy sandwich layer in shear
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Askarinejad, S., Thouless, M.D., and Fleck, N.A.
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- 2021
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48. Pile driving and submarine slope stability: a hybrid engineering approach
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Lamens, P. and Askarinejad, A.
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- 2021
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49. Centrifuge modelling of static liquefaction in submarine slopes: scaling law dilemma
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Zhang, Weiyuan and Askarinejad, Amin
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Mathematical models -- Usage ,Slopes (Physical geography) -- Mechanical properties -- Models ,Centrifugal force -- Models ,Earth sciences - Abstract
: The scaling laws for the centrifuge modelling of the initiation and propagation of static liquefaction in submerged slopes are investigated in this paper. A theoretical model is developed to analytically determine the scaling factor of fluid viscosity in simulating the onset of static liquefaction by detailed analysis of the hydromechanical processes at the grain scale. Based on this, a fluid with a viscosity of [square root of (N)]-times that of water ([square root of (N)]-fluid) is suggested, where N is the geometrical scaling factor in centrifuge modelling. A fluid with a viscosity of N-times that of water (N-fluid) was adopted for simulating dynamic events in the centrifuge; N-fluid is used and suggested by previous researchers. Centrifuge tests were designed to examine and verify the scaling factors for pore fluid viscosity in simulating the onset of static liquefaction and the post-liquefaction behaviour of subaqueous landslides. These tests were performed at 10g, 30g, and 50g conditions, with [square root of (N)]-fluid, N-fluid or water, where g is the Earth's gravitational acceleration. Results confirm that the correct scaling factors (prototype/model) for pore fluid viscosity are 1/[square root of (N)] and 1/N for investigating the onset of static liquefaction and the post-failure behaviour of the submarine slopes, respectively. Key words: static liquefaction, geotechnical centrifuge modelling, scaling law, submarine slopes. Les lois d'echelle pour la modelisation par centrifugeuse de l'initiation et de la propagation de la liquefaction statique dans les pentes submergees sont etudiees dans cet article. Un modele theorique est developpe pour determiner analytiquement le facteur d'echelle de la viscosite du fluide en simulant le debut de la liquefaction statique par une analyse detaillee des processus hydromecaniques a l'echelle du grain. Sur cette base, on suggere un fluide ayant une viscosite de [square root of (N)]-fois celle de l'eau ([square root of (N)]-fluide) ou N est le facteur d'echelle geometrique dans la modelisation par centrifugeuse. Un fluide d'une viscosite N-fois celle de l'eau (N-fluide) a ete adopte pour simuler les evenements dynamiques dans la centrifugeuse ; N-fluide est utilise et suggere par les chercheurs precedents. Les essais de centrifugation ont ete concus pour examiner et verifier les facteurs d'echelle de la viscosite du fluide interstitiel en simulant le debut de la liquefaction statique et le comportement post-liquefaction des glissements de terrain subaquatiques. Ces tests ont ete effectues dans des conditions de 10g, 30g et 50g, avec [square root of (N)]-fluide, N-fluide ou eau, ou g est l'acceleration gravitationnelle de la Terre. Les resultats confirment que les facteurs d'echelle corrects (prototype/modele) pour la viscosite du fluide interstitiel sont respectivement de [square root of (N)] et 1/N pour l'etude du debut de la liquefaction statique et du comportement apres defaillance des pentes sous-marines. [Traduit par la Redaction] Mots-cles : liquefaction statique, modelisation par centrifugeuse geotechnique, loi sur la mise a l'echelle, pentes sous-marines., Introduction Subsea slope instabilities could be induced by monotonic loads, such as rapid accumulation of sediments, erosion, and human activities (Locat and Lee 2002; Hance 2003; Ye et al. 2017). [...]
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- 2021
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50. Isolation and Characterization of Glycolipid Biosurfactant Produced by Marine Bacterium Cobetia marina Strain F1 and Investigation of Antimicrobial and Anti-Biofilm Activity.
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Amirinejad, Nazanin, Mohammadi, Mahasti, Shekarchizadeh, Afrooz, Askarinejad Behzadi, Mahla, Hassanshahian, Mehdi, Ataie, Seyed Ahmad, Hjazi, Ahmad, and Jabber Ibrahim, Ahmad
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MARINE bacteria ,ANTI-infective agents ,CRITICAL micelle concentration ,SURFACE tension ,ANTIBIOTIC residues ,X-ray spectroscopy - Abstract
The marine environment is a rich source of microorganisms producing bioactive compounds, like biosurfactant-producing bacteria that exhibit unique characteristics and functionalities. In this study, we examined glycolipid biosurfactants produced by bacteria that live commensally with marine organisms. We isolated a biosurfactant-producing strain identified as Cobetia marina strain F1, which displayed high hemolytic activity (27 mm), oil spreading ability (4 mm), emulsification index (40%), and decreasing surface tension to 31.3 (mN·m
−1 ). Fourier transform infrared (FT-IR) spectroscopy revealed the glycolipid composition of the biosurfactant. Furthermore, elemental analysis utilizing CHNS and energy-dispersive X-ray spectroscopy (EDS) confirmed the biosurfactant contained carbon, hydrogen, nitrogen, sulfur, chlorine, potassium, oxygen, and additional elements. The critical micelle concentration (CMC) of the crude biosurfactant was determined to be 350 mg·L−1 , at which concentration, a decrease in surface tension was observed when the biosurfactant was dissolved in distilled water. Given the presence of impurities in the biosurfactant composition, this observed CMC is considered acceptable. Furthermore, the biosurfactant exhibited significant antimicrobial activity against both Gram-positive and Gram-negative bacterial strains, with the largest zone of inhibition (ZOI) of 27 mm against Pseudomonas aeruginosa. This demonstrates the potential of the biosurfactant to serve as an alternative to novel antibiotic agents. The biosurfactant exhibited considerable inhibition of biofilm formation, disruption of preformed biofilms, and reduced enzymatic activity in bacterial cells following treatment. Moreover, the combination of the biosurfactant and F1 bacterial strain enhanced the degradation of crude oil by 86%, indicating its potential application in environmental remediation. These findings highlight the importance of investigating commensal strains capable to produce biosurfactants for applications in hydrocarbon remediation, overcoming antibiotic resistance, and biofilm disruption. [ABSTRACT FROM AUTHOR]- Published
- 2024
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