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7. Dose absorption of Omicron variant SARS-CoV-2 by electron radiation: Using Geant4-DNA toolkit

Author

Mehrdad Jalili Torkamani, Chiman Karami, Pooneh Sayyah-Koohi, Farhood Ziaie, Seyyedsina Moosavi, and Farhad Zolfagharpour

Subjects
Electron beam, Geant4-DNA, SARS-CoV-2, Omicron variant, Nuclear engineering. Atomic power, TK9001-9401
Abstract

In this research, the Omicron variant of the SARS-CoV-2 virus was simulated and exposed to electron radiation with up to 20 keV energy. Absorbed energy was measured for spike protein, nucleocapsid protein, and envelope of the virus. Simulations were performed by Geant4-DNA in a water environment at temperature of 20 °C and pressure of 1 atm. Since the viral RNA is kept inside the nucleocapsid protein, damage to this area could destroy the viral RNA strand and create an inactive virus. Our findings showed that electron beams with an energy of 2.5 keV could cause a maximum absorption dose and consequently maximum damage to the nucleocapsid and effectively be used for inactivation virus.

Published
2024
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8. Sulfate Adsorption from Polluted Water Using Montmorillonite Nanoclay

Author

ُShahriar Mahdavi, Behnaz Taherinia, and Amir Hossein Sayyah zadeh

Subjects
kinetics, pollution, sulfate, thermodynamics, Environmental sciences, GE1-350, Water supply for domestic and industrial purposes, TD201-500
Abstract

Sulfate is an important anion in natural waters, and its excessive concentration can be harmful. Therefore, in this study, the efficiency of sulfate removal using nanoclay montmorillonite (adsorbent) from water was investigated by determining the effect of adsorbent concentration, pH, time, and temperature to determine the optimal conditions. The sulfate adsorption isotherms were also examined. The highest sulfate removal was achieved at a concentration of 1 g/l of nanoclay montmorillonite, resulting in 4.47 mg/g or 23% removal, at pH 3 with 2.87 mg/g or 27% removal, at a time of 90 minutes with 2.15 mg/g or 21% removal, and at a temperature of 25°C with 3.54 mg/g or 35% removal. Thermodynamic constants indicated that sulfate adsorption on the adsorbent surfaces is endothermic and spontaneous. The pseudo-second-order kinetic model provided a better fit to the time data, indicating chemical adsorption of sulfate. Among the isotherm equations, the Langmuir equation showed a better fit compared to Freundlich, indicating monolayer adsorption surfaces. Furthermore, the maximum adsorption capacity of nanoclay montmorillonite for sulfate (SO4˭-S) was found to be 9.7 mg/g. SEM-EDX analysis also revealed surface adsorption of sulfur and changes in the surface. Therefore, this nanoclay was effective in removing sulfate from water.

Published
2024
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9. Effect of self-modeling and self-controlled feedback on the performance of professional swimmers and waterpolo players

Author

Masoud Mirmoezzi, Mansour Sayyah, Morteza Taheri, Khadijeh Irandoust, Mandana Sangari, Fatemeh Mirakhori, Ali Seghatoleslami, Lee Hill, Katja Weiss, Beat Knechtle, and Amine Ghram

Subjects
Feedback, Self-control, Self-modeling, Swimming, Water polo, Medicine (General), R5-920
Abstract

Self-modeling (SM) and self-control (SC) feedback can be presented as two solutions for learning improvement. Therefore, the aim of the present study was to investigate the effects of SM and SC feedback on 100-m freestyle performance of professional swimmers and waterpolo players. 25 elite male swimmers and waterpolo players, were randomly assigned to four groups: swimmer group with SM, swimmer group with SM and SC feedback, waterpolo players group with SM, and waterpolo players group with SM and SC feedback. 100-m freestyle times and performance were recorded. SM and SC feedback for the participants were utilized at the acquisition stage. The device used included a Lenovo B570 laptop and an Exilim ZR200 canon camcorder. SM and SC feedback presented to the swimmers and waterpolo players led to improved speed and results, and the effect of presenting SM with SC feedback to swimmers had better results. In conclusion, the present study indicates that SC modeling of watching video is a suitable method for professional swimmers. Water polo trainers can also use SM and SC feedback to enhance their players' swimming technique.

Published
2024
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12. Comparing a selected continuous versus interval aerobic exercise program on progranulin and BMI of overweight/fat female students

Author

Hasan Ehteram, Mansour Sayyah, Hooman Angoorani, Faezeh Tohiditabar, and Majid Etemadhosseini

Subjects
bmi, progranulin, aerobic exercise, college students, obesity, Medicine (General), R5-920
Abstract

Objectives: This study aimed to investigate the impact of two different aerobic exercise programs on the Body Mass Index (BMI) and progranulin (PGRN) levels of overweight or obese female students.Methods: In this quasi-experimental study, 36 overweight or obese female students from Kashan University of Medical Sciences and Islamic Azad University volunteered to participate. They were randomly divided into three groups: two groups underwent progressively increasing interval or continuous aerobic exercise programs, while the third group served as a control. The exercise programs lasted for 8 consecutive weeks, with blood samples collected before and after the intervention. Progranulin levels were measured using the ELISA technique with Human PGRN, and BMI was assessed at the beginning and end of the program.Results: The results of a one-way ANOVA test showed a significant decrease in progranulin levels (P=0.00) and BMI in both exercise groups compared to the control group (P=0.029).Conclusion: Both interval and continuous aerobic exercise programs were effective in reducing circulating progranulin levels and BMI in overweight or obese female college students. The exercise interventions led to a significant decrease in both variables. Further research is warranted to explore the effects of different aerobic exercise protocols on BMI and progranulin levels in normal adults.

Published
2024
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13. Exploring stochastic differential equation for analyzing uncertainty in wastewater treatment plant-activated sludge modeling

Author

Reza Shahidi Zonouz, Vahid Nourani, Mina Sayyah-Fard, Huseyin Gokcekus, and Chang-Qing Ke

Subjects
activated sludge unit, stochastic differential equation (sde), tabriz city, uncertainty, wastewater treatment plant (wwtp), Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350
Abstract

The management of wastewater treatment plant (WWTP) and the assessment of uncertainty in its design are crucial from an environmental engineering perspective. One of the key mechanisms in WWTP operation is activated sludge, which is related to the biological oxygen demand (BOD) parameter. In the modeling of BOD, the conventional approach utilizing ordinary differential equations (ODEs) fails to incorporate the stochastic nature of this parameter, leading to a considerable level of uncertainty in the design of WWTP. To address this issue, this study proposes a stochastic model that utilizes stochastic differential equations (SDEs) instead of ODE to simulate BOD activities of microorganisms and wastewater flow rate (Q). The SDEs and integral It̂o are solved using the Euler–Maruyama method for a period of 15 sequential days and the timespan of 2019–2020 for a WWTP in Tabriz City. SDE improves the design of WWTP facilities by identifying uncertainties and enhancing reliability. This, in turn, increases the reliability of the technical structures within the WWTP and improves the performance of its biological system. By considering the randomness of the problem, the proposed method significantly improves the results, with an enhancement of 11.47 and 10.11% for the BOD and Q models, respectively. HIGHLIGHTS This study suggests using stochastic differential equations (SDEs) and the Euler–Maruyama method instead of ordinary differential equations (ODEs) to model BOD and Q in WWTP design, addressing uncertainty.; A 15-day simulation was conducted to evaluate the variations of BOD and Q pollution parameters in the biological section of WWTP for the first time.;

Published
2024
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14. Childhood Centeredness is a Broader Predictor of Young Adulthood Mental Health than Childhood Adversity, Attachment, and Other Positive Childhood Experiences.

Author

Narayan, Angela, Frederick, Donald, Merrick, Jillian, Sayyah, Madison, and Larson, Matthew

Subjects
ACEs, Attachment, BCEs, Centeredness, Diversity, Inclusivity, Young adulthood
Abstract

UNLABELLED: This study introduced the novel concept of Centeredness, a measure of the emotional atmosphere of the family of origin and a target adult individuals perception of feeling safe, accepted, and supported from childhood primary caregivers and other family members. This study developed a Centeredness scale for adult respondents and tested hypotheses that higher levels of overall Centeredness would predict lower levels of depression and anxiety symptoms; suicidal thoughts and behaviors (STBs); and aggressive behavior; and higher levels of life satisfaction. Predictive effects of Centeredness were compared against attachment-related anxiety and avoidance, and adverse and benevolent childhood experiences (ACEs and BCEs). Participants were recruited via the Prolific-Academic (Pro-A) survey panel into two large independent samples of US young adults aged 19-35 years [Sample 1 (test sample), N = 548, 53.5% female, 2.2% gender non-conforming, 68.3% White, recruited before the pandemic; Sample 2 (replication sample), N = 1,198, 56.2% female, 2.3% gender non-conforming, 66.4% White; recruited during the pandemic]. Participants completed the novel Centeredness scale, which showed strong psychometric properties, and standardized, publicly available assessments of childhood experiences and mental health outcomes. Centeredness was the only variable that significantly predicted each mental health outcome across both samples. BCEs predicted all outcomes except aggressive behavior in the test sample. Centeredness and BCEs were also the only two variables that significantly predicted a dimensional mental health composite in both samples. Neither attachment-related anxiety and avoidance nor ACEs were as broadly predictive. The Centeredness scale assesses emotional aspects of childhood family relationships with individuals of diverse backgrounds and family compositions. Clinical and cultural implications are discussed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42844-023-00089-x.

Published
2023

15. Advances in catalysts for direct syngas conversion to light olefins: A review of mechanistic and performance insights

Author

Elham Mahmoudi, Ali Sayyah, Samira Farhoudi, Zahra Bahranifard, Gamze Behmenyar, Abdullah Z. Turan, Nagihan Delibas, and Aligholi Niaei

Subjects
Syngas- to- Olefins, Fischer-Tropsch catalysts, Catalyst selectivity, unsupported catalysts, Supported catalyst, Technology
Abstract

Light olefins are critical chemical materials with high global demand. The syngas-to-olefins (STO) process offers a promising pathway for light olefin production due to the versatility of syngas production technologies from various energy sources. However, achieving high carbon monoxide (CO) conversion and selectivity for olefins remains a challenge in catalytic development. This review categorizes STO catalysts into conventional Fischer-Tropsch catalysts, including unsupported and supported metal-based catalysts (with supports such as carbon, graphene, graphene oxide, zeolites, and metal oxides), as well as bifunctional, hybrid, and emerging core@shell structured catalysts. Another type of catalyst is core@shell structure catalyst, which is a developing method widely used for FT reactions. The performance of these catalysts is influenced by their materials, chemical compositions, operating conditions, and synthesis techniques. Unsupported catalysts, especially Fe-based and Co-based, exhibit high CO conversion but face issues like rapid deactivation and complex processing requirements. Supported catalysts enhance surface area, metal dispersion, and stability, with promoters such as Na, Mg, K, Mn, Zn, V, Zr, and Cu oxides improving catalytic activity through better CO adsorption and bond modulation. Zeolites, due to their acidic properties, significantly impact reactant adsorption and activation. Catalyst preparation methods, including impregnation, co-precipitation, sol-gel, and hydrothermal synthesis, alongside post-synthesis treatments like calcination and reduction, critically affect catalyst performance. This review provides a comprehensive overview of the light olefin production from syngas, detailing the roles of various catalysts and the impact of material types, operating conditions, and synthesis techniques on catalyst activity, and selectivity. The insights aim to guide future research and development towards more efficient and sustainable light olefin production processes.

Published
2024
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16. Optic nerve head alterations after COVID-19: an optical coherence tomography angiography-based longitudinal study

Author

Mojtaba Abrishami, Kiana Hassanpour, Kia Bayat, Seyedeh Maryam Hosseini, Nasibeh Amini, Majid Abrishami, Parham Sayyah Ensan, and Hamid Reza Heidarzadeh

Subjects
Medicine (General), R5-920
Abstract

Objective To evaluate longitudinal changes in peripapillary vessel density (VD) following coronavirus disease 2019 (COVID-19) using optical coherence tomography angiography. Methods As part of a prospective longitudinal observational study, we studied healthy individuals with a history of mild COVID-19 confirmed via real-time polymerase chain reaction. After recovery, we used the Optovue RTVue XR Avanti machine to perform optic nerve head (ONH) imaging. We also assessed the VD of all vessels and of small vessels in the disc and the radial peripapillary capillary (RPC) network at 1 and 3 months post-recovery. Results We included 17 patients (34 eyes; mean age: 36.9 ± 10.2 years, range: 24–62 years) who had recovered from COVID-19. No changes were observed in the ONH parameters. However, there was a noticeable trend of increased small vessel VD values in the RPC. These increases were significant for the peripapillary whole, superior hemifield, inferior-temporal, temporal-superior, and superior-temporal small vessels. Moreover, the evaluation of all vessel VD values in the RPC revealed a significant decrease in the inside disc and a significant increase in a grid-based inferior region. Conclusion COVID-19 may affect VD of the RPC in the ONH, and should be considered in ONH evaluations.

Published
2024
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17. Analysis of Power-Oriented Fault Injection Attacks on Spiking Neural Networks

Author

Nagarajan, Karthikeyan, Li, Junde, Ensan, Sina Sayyah, Khan, Mohammad Nasim Imtiaz, Kannan, Sachhidh, and Ghosh, Swaroop

Subjects
Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing
Abstract

Spiking Neural Networks (SNN) are quickly gaining traction as a viable alternative to Deep Neural Networks (DNN). In comparison to DNNs, SNNs are more computationally powerful and provide superior energy efficiency. SNNs, while exciting at first appearance, contain security-sensitive assets (e.g., neuron threshold voltage) and vulnerabilities (e.g., sensitivity of classification accuracy to neuron threshold voltage change) that adversaries can exploit. We investigate global fault injection attacks by employing external power supplies and laser-induced local power glitches to corrupt crucial training parameters such as spike amplitude and neuron's membrane threshold potential on SNNs developed using common analog neurons. We also evaluate the impact of power-based attacks on individual SNN layers for 0% (i.e., no attack) to 100% (i.e., whole layer under attack). We investigate the impact of the attacks on digit classification tasks and find that in the worst-case scenario, classification accuracy is reduced by 85.65%. We also propose defenses e.g., a robust current driver design that is immune to power-oriented attacks, improved circuit sizing of neuron components to reduce/recover the adversarial accuracy degradation at the cost of negligible area and 25% power overhead. We also present a dummy neuron-based voltage fault injection detection system with 1% power and area overhead., Comment: Design, Automation and Test in Europe Conference (DATE) 2022

Published
2022

18. Comparison of Liver stiffness Prevalence in Diabetics and Prediabetics

Author

Elena Lak, Eskandar Hajiani, Jalal Sayyah, Zeynab hosseinpour, and Alireza Sedaghat

Subjects
diabetes, liver fibrosis, prediabetes., Medicine (General), R5-920
Abstract

Background: Diabetes is known to be linked with a high risk of liver stiffness in non-alcoholic fatty liver patients. Previous studies have faced challenges in examining the association between prediabetes and liver stiffness. This study aimed to compare liver fibrosis in diabetes and prediabetes patients. Methods: This cross-sectional descriptive study was conducted on patients with diabetes and prediabetes who were referred to Imam Khomeini Hospital in Ahvaz from March 2022 to March 2023. The study aimed to clear the relationship between liver stiffness and age, gender, BMI, AST, ALT, ALKP, Bilirubin, and the type of treatment. The normality of quantitative variables was checked using the Kolmogorov-Smirnov test. The chi-square test examined two qualitative variables with more than two levels. Results: Out of the total participants, 53 people (63.9%) had diabetes, while 30 people (36.1%) had prediabetes. There was a significant difference between the mean severity of liver fibrosis in diabetic and pre-diabetic patients (P=0.014). The frequency of liver stiffness in all levels except in the group with mild or no fibrosis (F0-F1) was higher in diabetic than pre-diabetic patients. In both diabetes and prediabetes groups, there was no significant relationship between gender, age, BMI, ALT, and ALKP with liver fibrosis. However, there was a significant direct relationship between HbA1C% and liver fibrosis (P≥0.003) in both groups. In diabetic patients, a significant relationship between FBS and liver fibrosis was observed (P=0.001). In pre-diabetic patients, significant direct relationship was seen between the severity of liver fibrosis and AST levels (P=0.026). Conclusion: Diabetic patients showed a higher severity of liver fibrosis compared to pre-diabetic patients. No statistically significant relationship was seen between liver fibrosis and age, sex, body mass index, ALT, and ALKP in both groups. Additionally, both diabetes and prediabetes groups showed significant relationship between liver fibrosis and HbA1C (P≥0.003). Prediabetes was also found to be associated with an elevated risk of liver fibrosis.

Published
2024

19. Comparison of Clinico-Pathological Features Between Epithelial Ovarian Cancer Patients With and Without Endometriosis: A Cross-Sectional Study

Author

Mehri Jafari Shobeiri, Navideh Hajagaei Saeidi, Heidar Ali Esmaeili, Ali Dastranj Tabrizi, Yasmin Pouraliakbar, Parvin Mostafa-Gharabaghi, Manizheh Sayyah-Melli, Maryam Vaezi, Vahideh Rahmani, and Sajjad Pourasghari

Subjects
endometriosis, ovarian epithelial cancer, carcinoma, Medicine
Abstract

Objectives: Women with endometriosis have a high risk of developing ovarian carcinoma that may occur due to endometriosis lesions. There is few research have so far focused on the clinical factors in patients with endometriosis-associated ovarian cancer (EAOC). Accordingly, this study aimed at comparing the demographic and obstetric characteristics between ovarian cancer with and without endometriosis Materials and Methods: This cross-sectional study was conducted on 20 EAOC patients and 140 non-EAOC individuals who had gone under surgery from 2011-17 at Al-Zahra hospital. Clinico-pathological characteristics of the two groups including first group only had malignant epithelial ovarian tumor (non-EAOC) and second group had both malignant epithelial ovarian tumor and endometriosis (EAOC). P value less than 0.05 was considered statistically significant. Results: EAOC cases were significantly younger (P=0.002) and had lower number of pregnancy (P=0.002), parity (P=0.004), and term pregnancy (P=0.005) than non-EAOC patients. A large proportion of EAOC cases had clear cell and endometrioid histopathology in comparison to non-EAOC individuals (P

Published
2024
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26. Comparative Study of the Long-Term Impact of the COVID-19 Pandemic on Mental Health and Nutritional Practices Among International Elite and Sub-Elite Athletes: A Sample of 1420 Participants from 14 Countries

Author

Taheri, Morteza, Saad, Helmi Ben, Washif, Jad Adrian, Reynoso-Sánchez, Luis Felipe, Mirmoezzi, Masoud, Youzbashi, Leila, Trabelsi, Khaled, Moshtagh, Mozhgan, Muñoz-Helú, Hussein, Mataruna-Dos-Santos, Leonardo Jose, Seghatoleslami, Ali, Torabi, Farnaz, Soylu, Yusuf, Kurt, Cem, Vancini, Rodrigo Luiz, Delkash, Shabnam, Rezaei, Marjan Sadat, Ashouri, Mahdi, Tahira, Shazia, Sayyah, Mansour, Chtourou, Hamdi, Dergaa, Ismail, Strahler, Jana, Guimarães-Mataruna, Andressa Fontes, Lebaron, Tyler W., Ezdini, Ebrahim Shaabani, Alizade, Ardeshir, Zouhal, Hassane, Tarnava, Alexander T., Clark, Cain, Bigdeli, Nooshin, Ammar, Achraf, Eken, Özgür, Ayed, Karim Ben, Bragazzi, Nicola Luigi, Nobari, Hadi, Thuany, Mabliny, Weiss, Katja, Knechtle, Beat, and Irandoust, Khadijeh

Published
2023
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28. Comparative Study of the Long-Term Impact of the COVID-19 Pandemic on Mental Health and Nutritional Practices Among International Elite and Sub-Elite Athletes: A Sample of 1420 Participants from 14 Countries

Author

Morteza Taheri, Helmi Ben Saad, Jad Adrian Washif, Luis Felipe Reynoso-Sánchez, Masoud Mirmoezzi, Leila Youzbashi, Khaled Trabelsi, Mozhgan Moshtagh, Hussein Muñoz-Helú, Leonardo Jose Mataruna-Dos-Santos, Ali Seghatoleslami, Farnaz Torabi, Yusuf Soylu, Cem Kurt, Rodrigo Luiz Vancini, Shabnam Delkash, Marjan Sadat Rezaei, Mahdi Ashouri, Shazia Tahira, Mansour Sayyah, Hamdi Chtourou, Ismail Dergaa, Jana Strahler, Andressa Fontes Guimarães-Mataruna, Tyler W. Lebaron, Ebrahim Shaabani Ezdini, Ardeshir Alizade, Hassane Zouhal, Alexander T. Tarnava, Cain Clark, Nooshin Bigdeli, Achraf Ammar, Özgür Eken, Karim Ben Ayed, Nicola Luigi Bragazzi, Hadi Nobari, Mabliny Thuany, Katja Weiss, Beat Knechtle, and Khadijeh Irandoust

Subjects
Performance, Athlete, Nutrition, Infectious disease, Health, Sports medicine, RC1200-1245
Abstract

Abstract Background Although several studies have shown that the Coronavirus Disease 2019 (COVID-19) lockdown has had negative impacts on mental health and eating behaviors among the general population and athletes, few studies have examined the long-term effects on elite and sub-elite athletes. The present study aimed to investigate the long-term impact of COVID-19 lockdown on mental health and eating behaviors in elite versus sub-elite athletes two years into the pandemic. A cross-sectional comparative study was conducted between March and April 2022, involving athletes from 14 countries, using a convenient non-probabilistic and snowball sampling method. A total of 1420 athletes (24.5 ± 7.9 years old, 569 elites, 35% women, and 851 sub-elites, 45% women) completed an online survey-based questionnaire. The questionnaire included a sociodemographic survey, information about the COVID-19 pandemic, the Depression, Anxiety and Stress Scale—21 Items (DASS-21) for mental health assessment, and the Rapid Eating Assessment for Participants (REAP-S) for assessing eating behavior. Results The results showed that compared to sub-elite athletes, elite athletes had lower scores on the DASS-21 (p = .001) and its subscales of depression (p = .003), anxiety (p = .007), and stress (p

Published
2023
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29. Association of DRD2, DRD4 and COMT genes variants and their gene-gene interactions with antipsychotic treatment response in patients with schizophrenia

Author

Narges Taheri, Rokhshid Pirboveiri, Mehdi Sayyah, Mahdi Bijanzadeh, and Pegah Ghandil

Subjects
Schizophrenia, Antipsychotic treatment, DRD2, DRD4, COMT, Gene, Psychiatry, RC435-571
Abstract

Abstract Antipsychotic drugs are the first line of treatment in schizophrenia; although antipsychotic responses indicate a wide interindividual variety in patients with schizophrenia. This study aimed to investigate the association between four polymorphisms in DRD2, DRD4 and COMT genes and their gene-gene interactions with antipsychotic treatment response in patients with schizophrenia. A total of 101 patients with schizophrenia were recruited and stratified in treatment responder and treatment resistant groups based on the published criteria of resistant to treatment using PANSS. Clinical and demographic factors were analyzed. Genomic DNA was extracted from whole blood and genotyping for the four polymorphisms were done by ARMS-PCR, PCR-RFLP and gap-PCR. Gene-gene interactions were analyzed by logistic regression. In case of DRD2 A-241G, G allele was significantly associated with resistant to treatment. Regarding DRD4 120-bp duplication, 240/240 genotype was significantly associated with resistant to treatment comparing to other genotypes in a dominant model. The genotype combination of DRD4 240/240 and COMT Val/Val was significantly associated with treatment resistant. Among DRD2 AA genotype, COMT met allele carriers which also had a 120 bp allele of DRD4 had a significantly better response to antipsychotics. Moreover, analysis of clinical and demographic factors demonstrated a significantly longer duration of hospitalization and higher chlorpromazine-equivalent daily dose in resistant to treatment patients. Discovering the polymorphisms which effect treatment response to antipsychotics will provide the possibility of genetic screening before starting an antipsychotic treatment which enhances the chance of responding to antipsychotics and decreases drugs side effects and costs.

Published
2023
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30. Effect of Mindfulness-Based Stress Management Therapy on Emotion Regulation, Anxiety, Depression, and Food Addiction in Obese People: A Randomized Clinical Trial

Author

Hanieh Kebriti, Zahra Zanjani, Abdollah Omidi, and Mansor Sayyah

Subjects
obesity, depression, anxiety, emotion regulation, food addiction, mindfulness-based stress, Medicine, Medicine (General), R5-920
Abstract

Background and purpose: Many obese people have different psychological symptoms such as anxiety, depression, emotional regulation problems, etc., food addiction is also another psychological problem associated with obesity. In this research, for the first time, we investigated the effect of mindfulness-based stress reduction (MBSR) treatment on anxiety, depression, difficulty in emotional regulation, and food addiction in obese people. Materials and methods: In this clinical trial, 40 obese women were selected from urban health centers in Kashan, 2018. They were recruited using purposive convenience sampling. They were then randomly divided into an intervention group (MBSR, n=20) or a control group (educational session without any treatment, n=20). The MBSR was implemented according to the Kabat Ziin protocol during weekly sessions of 90-minute for eight weeks. The participants were evaluated at pre-test, post-test and three-month follow-up using the anxiety, stress, depression scale (DASS-21), difficulty in emotion regulation scale (DERS), and the Yale food addiction scale (YFAS). Data analysis was performed applying repeated measures ANOVA in SPSS16. Results: The intervention group was found with a significant reduction in the levels of anxiety (P0.05). Conclusion: Mindfulness-based stress reduction treatment could be considered as a part of comprehensive medical care for obese people. (Clinical Trials Registry Number: IRCT20190804044436N1)

Published
2023

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

Author

Brauer, Michael, Roth, Gregory A, Aravkin, Aleksandr Y, Zheng, Peng, Abate, Kalkidan Hassen, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abd ElHafeez, Samar, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Mohammad, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abedi, Aidin, Abedi, Armita, Abegaz, Tadesse M, Abeldaño Zuñiga, Roberto Ariel, Abiodun, Olumide, Abiso, Temesgen Lera, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abukhadijah, Hana Jihad Jihad, Aburuz, Salahdein, Abu-Zaid, Ahmed, Adane, Mesafint Molla, Addo, Isaac Yeboah, Addolorato, Giovanni, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Aden, Bashir, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adha, Rishan, Adibi, Amin, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afolabi, Aanuoluwapo Adeyimika, Afolabi, Rotimi Felix, Afshin, Ashkan, Afyouni, Shadi, Afzal, Muhammad Sohail, Afzal, Saira, Agampodi, Suneth Buddhika, Agbozo, Faith, Aghamiri, Shahin, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Noah, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmed, Ali, Ahmed, Anisuddin, Ahmed, Ayman, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Safoora, Ahmed, Syed Anees, Ajami, Marjan, Akalu, Gizachew Taddesse, Akara, Essona Matatom, Akbarialiabad, Hossein, Akhlaghi, Shiva, Akinosoglou, Karolina, Akinyemiju, Tomi, Akkaif, Mohammed Ahmed, Akkala, Sreelatha, Akombi-Inyang, Blessing, Al Awaidy, Salah, Al Hasan, Syed Mahfuz, Alahdab, Fares, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Alam, Nazmul, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albakri, Almaza, AlBataineh, Mohammad T, Aldhaleei, Wafa A, Aldridge, Robert W, Alemayohu, Mulubirhan Assefa, Alemu, Yihun Mulugeta, Al-Fatly, Bassam, Al-Gheethi, Adel Ali Saeed, Al-Habbal, Khairat, Alhabib, Khalid F, Alhassan, Robert Kaba, Ali, Abid, Ali, Amjad, Ali, Beriwan Abdulqadir, Ali, Iman, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Ali, Waad, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Alla, François, Al-Marwani, Sabah, Al-Mekhlafi, Hesham M, Almustanyir, Sami, Alomari, Mahmoud A, Alonso, Jordi, Alqahtani, Jaber S, Alqutaibi, Ahmed Yaseen, Al-Raddadi, Rajaa M, Alrawashdeh, Ahmad, Al-Rifai, Rami Hani, Alrousan, Sahel Majed, Al-Sabah, Salman Khalifah, Alshahrani, Najim Z, Altaany, Zaid, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Alwafi, Hassan, Al-Wardat, Mohammad Sami, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Al-Zyoud, Walid, Amaechi, Uchenna Anderson, Aman Mohammadi, Masous, 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Samer H, Murray, Christopher J L, and Gakidou, Emmanuela

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2024
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34. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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Naghavi, Mohsen, Ong, Kanyin Liane, Aali, Amirali, Ababneh, Hazim S, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed, Abdollahi, Mohammad, Abdollahifar, Mohammad-Amin, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abebe, Samrawit Shawel, Abedi, Aidin, Abegaz, Kedir Hussein, Abhilash, E S, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abolmaali, Meysam, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abtahi, Dariush, Abu Rumeileh, Samir, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Accrombessi, Manfred Mario Kokou, Adal, Tadele Girum, Adamu, Abdu A, Addo, Isaac Yeboah, Addolorato, Giovanni, Adebiyi, Akindele Olupelumi, Adekanmbi, Victor, Adepoju, Abiola Victor, Adetunji, Charles Oluwaseun, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adeyinka, Daniel Adedayo, Adeyomoye, Olorunsola Israel, Admass, Biruk Adie Adie, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afolabi, Aanuoluwapo Adeyimika, Afzal, Muhammad Sohail, Afzal, Saira, Agampodi, Suneth Buddhika, Agasthi, Pradyumna, Aggarwal, Manik, Aghamiri, Shahin, Agide, Feleke Doyore, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadzade, Amir Mahmoud, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Mehrunnisha Sharif, Ahmed, Meqdad Saleh, Ahmed, Muktar Beshir, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Akara, Essona Matatom, Akbarialiabad, Hossein, Akinosoglou, Karolina, Akinyemiju, Tomi, Akkaif, Mohammed Ahmed, Akyirem, Samuel, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Alahdab, Fares, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Alam, Manjurul, Alam, Noore, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Al-Azzam, Sayer, Albakri, Almaza, Albashtawy, Mohammed, AlBataineh, Mohammad T, Alcalde-Rabanal, Jacqueline Elizabeth, Aldawsari, Khalifah A, Aldhaleei, Wafa A, Aldridge, Robert W, Alema, Haileselasie Berhane, Alemayohu, Mulubirhan Assefa, Alemi, Sharifullah, Alemu, Yihun Mulugeta, Al-Gheethi, Adel Ali Saeed, Alhabib, Khalid F, Alhalaiqa, Fadwa Alhalaiqa Naji, Al-Hanawi, Mohammed Khaled, Ali, Abid, Ali, Amjad, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Shahid, Ali, Syed Shujait Shujait, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Alikhani, Reyhaneh, Alimohamadi, Yousef, Aliyi, Ahmednur Adem, Aljasir, Mohammad A M, Aljunid, Syed Mohamed, Alla, François, Allebeck, Peter, Al-Marwani, Sabah, Al-Maweri, Sadeq Ali Ali, Almazan, Joseph Uy, Al-Mekhlafi, Hesham M, Almidani, Louay, Almidani, Omar, Alomari, Mahmoud 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2024
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35. Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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Steinmetz, Jaimie D, Seeher, Katrin Maria, Schiess, Nicoline, Nichols, Emma, Cao, Bochen, Servili, Chiara, Cavallera, Vanessa, Cousin, Ewerton, Hagins, Hailey, Moberg, Madeline E, Mehlman, Max L, Abate, Yohannes Habtegiorgis, Abbas, Jaffar, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abbastabar, Hedayat, Abdelmasseh, Michael, Abdollahi, Mohammad, Abdollahi, Mozhan, Abdollahifar, Mohammad-Amin, Abd-Rabu, Rami, Abdulah, Deldar Morad, Abdullahi, Auwal, Abedi, Aidin, Abedi, Vida, Abeldańo Zuńiga, Roberto Ariel, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Aboyans, Victor, Abrha, Woldu Aberhe, Abualhasan, Ahmed, Abu-Gharbieh, Eman, Aburuz, Salahdein, Adamu, Lawan Hassan, Addo, Isaac Yeboah, Adebayo, Oladimeji M, Adekanmbi, Victor, Adekiya, Tayo Alex, Adikusuma, Wirawan, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afework, Tsion, Afolabi, Aanuoluwapo Adeyimika, Afraz, Ali, Afzal, Saira, Aghamiri, Shahin, Agodi, Antonella, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Sajjad, Ahmadzade, Amir Mahmoud, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Jivan Qasim, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Ajumobi, Olufemi, Akade, Seyed Esma'il, Akbari, Morteza, Akbarialiabad, Hossein, Akhlaghi, Shiva, Akinosoglou, Karolina, Akinyemi, Rufus Olusola, Akonde, Maxwell, Al Hasan, Syed Mahfuz, Alahdab, Fares, AL-Ahdal, Tareq Mohammed Ali, Al-amer, Rasmieh Mustafa, Albashtawy, Mohammed, AlBataineh, Mohammad T, Aldawsari, Khalifah A, Alemi, Hediyeh, Alemi, Sharifullah, Algammal, Abdelazeem M, Al-Gheethi, Adel Ali Saeed, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Abid, Ali, Endale Alemayehu, Ali, Liaqat, Ali, Mohammed Usman, Ali, Musa Mohammed, Ali, Rafat, Ali, Shahid, Ali, Syed Shujait Shujait, Ali, Zahid, Alif, Sheikh Mohammad, Alimohamadi, Yousef, Aliyi, Ahmednur Adem, Aljofan, Mohamad, Aljunid, Syed Mohamed, Alladi, Suvarna, Almazan, Joseph Uy, Almustanyir, Sami, Al-Omari, Basem, Alqahtani, Jaber S, Alqasmi, Ibrahim, Alqutaibi, Ahmed Yaseen, Al-Shahi Salman, Rustam, Altaany, Zaid, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Amani, Reza, Amindarolzarbi, Alireza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Amzat, Jimoh, Ancuceanu, Robert, Anderlini, Deanna, Anderson, David B, Andrei, Catalina Liliana, Androudi, Sofia, Angappan, Dhanalakshmi, Angesom, Teklit W, Anil, Abhishek, Ansari-Moghaddam, Alireza, Anwer, Razique, Arafat, Mosab, Aravkin, Aleksandr Y, Areda, Demelash, Ariffin, Hany, Arifin, Hidayat, Arkew, Mesay, Ärnlöv, Johan, Arooj, Mahwish, Artamonov, Anton A, Artanti, Kurnia Dwi, Aruleba, Raphael Taiwo, Asadi-Pooya, Ali A, Asena, Tilahun Ferede, Asghari-Jafarabadi, Mohammad, Ashraf, Muhammad, Ashraf, Tahira, Atalell, Kendalem Asmare, Athari, Seyyed Shamsadin, Atinafu, Bantalem Tilaye Tilaye, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Atreya, Alok, Aujayeb, Avinash, Avan, Abolfazl, Ayala Quintanilla, Beatriz Paulina, Ayatollahi, Haleh, Ayinde, Olatunde O, Ayyoubzadeh, Seyed Mohammad, Azadnajafabad, Sina, Azizi, Zahra, Azizian, Khalil, Azzam, Ahmed Y, Babaei, Mahsa, Badar, Muhammad, Badiye, Ashish D, Baghdadi, Soroush, Bagherieh, Sara, Bai, Ruhai, Baig, Atif Amin, Balakrishnan, Senthilkumar, Balalla, Shivanthi, Baltatu, Ovidiu Constantin, Banach, Maciej, Bandyopadhyay, Soham, Banerjee, Indrajit, Baran, Mehmet Firat, Barboza, Miguel A, Barchitta, Martina, Bardhan, Mainak, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrow, Amadou, Bashash, Davood, Bashiri, Hamideh, Bashiru, Hameed Akande, Basiru, Afisu, Basso, João Diogo, Basu, Sanjay, Batiha, Abdul-Monim Mohammad, Batra, Kavita, Baune, Bernhard T, Bedi, Neeraj, Begde, Ahmet, Begum, Tahmina, Behnam, Babak, Behnoush, Amir Hossein, Beiranvand, Maryam, Béjot, Yannick, Bekele, Alehegn, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bemanalizadeh, Maryam, Bender, Rose G, Benfor, Bright, Bennett, Derrick A, Bensenor, Isabela M, Berice, Betyna, Bettencourt, Paulo J G, Beyene, Kebede A, Bhadra, Abhishek, Bhagat, Devidas S, Bhangdia, Kayleigh, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhargava, Ashish, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Rajbir, Bijani, Ali, Bikbov, Boris, Bilalaga, Mariah Malak, Biswas, Atanu, Bitaraf, Saeid, Bitra, Veera R, Bjørge, Tone, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Boloor, Archith, Braithwaite, Dejana, Brayne, Carol, Brenner, Hermann, Briko, Andrey, Bringas Vega, Maria L, Brown, Julie, Budke, Christine M, Buonsenso, Danilo, Burkart, Katrin, Burns, Richard A, Bustanji, Yasser, Butt, Muhammad Hammad, Butt, Nadeem Shafique, Butt, Zahid A, Cabral, Lucas Scotta, Caetano dos Santos, Florentino Luciano, Calina, Daniela, Campos-Nonato, Ismael R, Cao, Chao, Carabin, Hélène, Cárdenas, Rosario, Carreras, Giulia, Carvalho, Andre F, Castańeda-Orjuela, Carlos A, Casulli, Adriano, Catalá-López, Ferrán, Catapano, Alberico L, Caye, Arthur, Cegolon, Luca, Cenderadewi, Muthia, Cerin, Ester, Chacón-Uscamaita, Pamela R, Chan, Jeffrey Shi Kai, Chanie, Gashaw Sisay, Charan, Jaykaran, Chattu, Vijay Kumar, Chekol Abebe, Endeshaw, Chen, Hui, Chen, Jianqi, Chi, Gerald, Chichagi, Fatemeh, Chidambaram, Saravana Babu, Chimoriya, Ritesh, Ching, Patrick R, Chitheer, Abdulaal, Chong, Yuen Yu, Chopra, Hitesh, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chowdhury, Rajiv, Christensen, Hanne, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Eric, Coberly, Kaleb, Columbus, Alyssa, Comachio, Josielli, Conde, Joao, Cortesi, Paolo Angelo, Costa, Vera Marisa, Couto, Rosa A S, Criqui, Michael H, Cruz-Martins, Natália, Dabbagh Ohadi, Mohammad Amin, Dadana, Sriharsha, Dadras, Omid, Dai, Xiaochen, Dai, Zhaoli, D'Amico, Emanuele, Danawi, Hadi A, Dandona, Lalit, Dandona, Rakhi, Darwish, Amira Hamed, Das, Saswati, Das, Subasish, Dascalu, Ana Maria, Dash, Nihar Ranjan, Dashti, Mohsen, De la Hoz, Fernando Pio, de la Torre-Luque, Alejandro, De Leo, Diego, Dean, Frances E, Dehghan, Amin, Dehghan, Azizallah, Dejene, Hiwot, Demant, Daniel, Demetriades, Andreas K, Demissie, Solomon, Deng, Xinlei, Desai, Hardik Dineshbhai, Devanbu, Vinoth Gnana Chellaiyan, Dhama, Kuldeep, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Dias da Silva, Diana, Diaz, Daniel, Dibas, Mahmoud, Ding, Delaney D, Dinu, Monica, Dirac, M Ashworth, Diress, Mengistie, Do, Thanh Chi, Do, Thao Huynh Phuong, Doan, Khanh Duy Khanh, Dodangeh, Milad, Doheim, Mohamed Fahmy, Dokova, Klara Georgieva, Dongarwar, Deepa, Dsouza, Haneil Larson, Dube, John, Duraisamy, Senbagam, Durojaiye, Oyewole Christopher, Dutta, Sulagna, Dziedzic, Arkadiusz Marian, Edinur, Hisham Atan, Eissazade, Negin, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Nahas, Nevine, El Sayed, Iman, Elahi Najafi, Mohammad Amin, Elbarazi, Iffat, Elemam, Noha Mousaad, Elgar, Frank J, Elgendy, Islam Y, Elhabashy, Hala Rashad, Elhadi, Muhammed, Elilo, Legesse Tesfaye, Ellenbogen, Richard G, Elmeligy, Omar Abdelsadek Abdou, Elmonem, Mohamed A, Elshaer, Mohammed, Elsohaby, Ibrahim, Emamverdi, Mehdi, Emeto, Theophilus I, Endres, Matthias, Esezobor, Christopher Imokhuede, Eskandarieh, Sharareh, Fadaei, Abdolmajid, Fagbamigbe, Adeniyi Francis, Fahim, Ayesha, Faramarzi, Ali, Fares, Jawad, Farjoud Kouhanjani, Mohsen, Faro, Andre, Farzadfar, Farshad, Fatehizadeh, Ali, Fathi, Mobina, Fathi, Saeid, Fatima, Syeda Anum Fatima, Feizkhah, Alireza, Fereshtehnejad, Seyed-Mohammad, Ferrari, Alize J, Ferreira, Nuno, Fetensa, Getahun, Firouraghi, Neda, Fischer, Florian, Fonseca, Ana Catarina, Force, Lisa M, Fornari, Arianna, Foroutan, Behzad, Fukumoto, Takeshi, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Galali, Yaseen, Galehdar, Nasrin, Gan, Quan, Gandhi, Aravind P, Ganesan, Balasankar, Gardner, William M, Garg, Naval, Gau, Shuo-Yan, Gautam, Rupesh K, Gebre, Teshome, Gebrehiwot, Mesfin, Gebremeskel, Gebreamlak Gebremedhn, Gebreslassie, Haftay Gebremedhin, Getacher, Lemma, Ghaderi Yazdi, Bardiya, Ghadirian, Fataneh, Ghaffarpasand, Fariborz, Ghanbari, Reza, Ghasemi, MohammadReza, Ghazy, Ramy Mohamed, Ghimire, Sailaja, Gholami, Ali, Gholamrezanezhad, Ali, Ghotbi, Elena, Ghozy, Sherief, Gialluisi, Alessandro, Gill, Paramjit Singh, Glasstetter, Logan M, Gnedovskaya, Elena V, Golchin, Ali, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Gomes-Neto, Mansueto, Goulart, Alessandra C, Goyal, Anmol, Gray, Richard J, Grivna, Michal, Guadie, Habtamu Alganeh, Guan, Bin, Guarducci, Giovanni, Guicciardi, Stefano, Gunawardane, Damitha Asanga, Guo, Hanbing, Gupta, Bhawna, Gupta, Rajeev, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Gutiérrez, Reyna Alma, Habibzadeh, Farrokh, Hachinski, Vladimir, Haddadi, Rasool, Hadei, Mostafa, Hadi, Najah R, Haep, Nils, Haile, Teklehaimanot Gereziher, Haj-Mirzaian, Arvin, Hall, Brian J, Halwani, Rabih, Hameed, 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Andrea, Maulik, Pallab K, Mayeli, Mahsa, Mazaheri, Maryam, McAlinden, Colm, McGrath, John J, Meena, Jitendra Kumar, Mehndiratta, Man Mohan, Mendez-Lopez, Max Alberto Mendez, Mendoza, Walter, Mendoza-Cano, Oliver, Menezes, Ritesh G, Merati, Mohsen, Meretoja, Atte, Merkin, Alexander, Mersha, Abera M, Mestrovic, Tomislav, Mi, Tianyue, Miazgowski, Tomasz, Michalek, Irmina Maria, Mihretie, Ephrem Tesfaye, Minh, Le Huu Nhat, Mirfakhraie, Reza, Mirica, Andreea, Mirrakhimov, Erkin M, Mirzaei, Mehdi, Misganaw, Awoke, Misra, Sanjeev, Mithra, Prasanna, Mizana, Biru Abdissa, Mohamadkhani, Ashraf, Mohamed, Nouh Saad, Mohammadi, Esmaeil, Mohammadi, Hiwa, Mohammadi, Shadieh, Mohammadi, Soheil, Mohammadshahi, Marita, Mohammed, Mustapha, Mohammed, Salahuddin, Mohammed, Shafiu, Mohan, Syam, Mojiri-forushani, Hoda, Moka, Nagabhishek, Mokdad, Ali H, Molinaro, Sabrina, Möller, Holger, Monasta, Lorenzo, Moniruzzaman, Md, Montazeri, Fateme, Moradi, Maryam, Moradi, Yousef, Moradi-Lakeh, Maziar, Moraga, Paula, Morovatdar, Negar, Morrison, Shane Douglas, Mosapour, Abbas, Mosser, Jonathan F, Mossialos, Elias, Motaghinejad, Majid, Mousavi, Parsa, Mousavi, Seyed Ehsan, Mubarik, Sumaira, Muccioli, Lorenzo, Mughal, Faraz, Mukoro, George Duke, Mulita, Admir, Mulita, Francesk, Musaigwa, Fungai, Mustafa, Ahmad, Mustafa, Ghulam, Muthu, Sathish, Nagarajan, Ahamarshan Jayaraman, Naghavi, Pirouz, Naik, Ganesh R, Nainu, Firzan, Nair, Tapas Sadasivan, Najmuldeen, Hastyar Hama Rashid, Nakhostin Ansari, Noureddin, Nambi, Gopal, Namdar Areshtanab, Hossein, Nargus, Shumaila, Nascimento, Bruno Ramos, Naser, Abdallah Y, Nashwan, Abdulqadir J J, Nasoori, Hadis, Nasreldein, Ahmed, Natto, Zuhair S, Nauman, Javaid, Nayak, Biswa Prakash, Nazri-Panjaki, Athare, Negaresh, Mohammad, Negash, Hadush, Negoi, Ionut, Negoi, Ruxandra Irina, Negru, Serban Mircea, Nejadghaderi, Seyed Aria, Nematollahi, Mohammad Hadi, Nesbit, Olivia D, Newton, Charles Richard James, Nguyen, Dang H, Nguyen, Hau Thi Hien, Nguyen, Hien Quang, Nguyen, Ngoc-Trinh Thi, Nguyen, Phat Tuan, Nguyen, Van Thanh, Niazi, Robina Khan, Nikolouzakis, Taxiarchis Konstantinos, Niranjan, Vikram, Nnyanzi, Lawrence Achilles, Noman, Efaq Ali, Noroozi, Nafise, Norrving, Bo, Noubiap, Jean Jacques, Nri-Ezedi, Chisom Adaobi, Ntaios, George, Nuńez-Samudio, Virginia, Nurrika, Dieta, Oancea, Bogdan, Odetokun, Ismail A, O'Donnell, Martin James, Ogunsakin, Ropo Ebenezer, Oguta, James Odhiambo, Oh, In-Hwan, Okati-Aliabad, Hassan, Okeke, Sylvester Reuben, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Okwute, Patrick Godwin, Olagunju, Andrew T, Olaiya, Muideen Tunbosun, Olana, Matifan Dereje, Olatubi, Matthew Idowu, Oliveira, Gláucia Maria Moraes, Olufadewa, Isaac Iyinoluwa, Olusanya, Bolajoko Olubukunola, Omar Bali, Ahmed, Ong, Sokking, Onwujekwe, Obinna E, Ordak, Michal, Orji, Aislyn U, Ortega-Altamirano, Doris V, Osuagwu, Uchechukwu Levi, Otstavnov, Nikita, Otstavnov, Stanislav S, Ouyahia, Amel, Owolabi, Mayowa O, P A, Mahesh Padukudru, Pacheco-Barrios, Kevin, Padubidri, Jagadish Rao, Pal, Pramod Kumar, Palange, Padmavali Nanaji, Palladino, Claudia, Palladino, Raffaele, Palma-Alvarez, Raul Felipe, Pan, Feng, Panagiotakos, Demosthenes, Panda-Jonas, Songhomitra, Pandey, Anamika, Pandey, Ashok, Pandian, Jeyaraj Durai, Pangaribuan, Helena Ullyartha, Pantazopoulos, Ioannis, Pardhan, Shahina, Parija, Pragyan Paramita, Parikh, Romil R, Park, Seoyeon, Parthasarathi, Ashwaghosha, Pashaei, Ava, Patel, Jay, Patil, Shankargouda, Patoulias, Dimitrios, Pawar, Shrikant, Pedersini, Paolo, Pensato, Umberto, Pereira, David M, Pereira, Jeevan, Pereira, Maria Odete, Peres, Mario F P, Perico, Norberto, Perna, Simone, Petcu, Ionela-Roxana, Petermann-Rocha, Fanny Emily, Pham, Hoang Tran, Phillips, Michael R, Pinilla-Monsalve, Gabriel D, Piradov, Michael A, Plotnikov, Evgenii, Poddighe, Dimitri, Polat, Burcu, Poluru, Ramesh, Pond, Constance Dimity, Poudel, Govinda Raj, Pouramini, Alireza, Pourbagher-Shahri, Ali Mohammad, Pourfridoni, Mohammad, Pourtaheri, Naeimeh, Prakash, Peralam Yegneswaran, Prakash, Sanjay, Prakash, V, Prates, Elton Junio Sady, Pritchett, Natalie, Purnobasuki, Hery, Qasim, Nameer Hashim, Qattea, Ibrahim, Qian, Gangzhen, Radhakrishnan, Venkatraman, Raee, Pourya, Raeisi Shahraki, Hadi, Rafique, Ibrar, Raggi, Alberto, Raghav, Pankaja Raghav, Rahati, Meghdad M, Rahim, Fakher, Rahimi, Zahra, Rahimifard, Mahban, Rahman, Md Obaidur, Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Shayan, Rahmani Youshanlouei, Hamed, Rahmati, Masoud, Raj Moolambally, Sheetal, Rajabpour-Sanati, Ali, Ramadan, Hazem, Ramasamy, Shakthi Kumaran, Ramasubramani, Premkumar, Ramazanu, Sheena, Rancic, Nemanja, Rao, Indu Ramachandra, Rao, Sowmya J, Rapaka, Deepthi, Rashedi, Vahid, Rashid, Ahmed Mustafa, Rashidi, Mohammad-Mahdi, Rashidi Alavijeh, Mehran, Rasouli-Saravani, Ashkan, Rawaf, Salman, Razo, Christian, Redwan, Elrashdy Moustafa Mohamed, Rekabi Bana, Atefe, Remuzzi, Giuseppe, Rezaei, Nazila, Rezaei, Negar, Rezaei, Nima, Rezaeian, Mohsen, Rhee, Taeho Gregory, Riad, Abanoub, Robinson, Stephen R, Rodrigues, Mónica, Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Rogowski, Emma L B, Romoli, Michele, Ronfani, Luca, Roy, Priyanka, Roy Pramanik, Koushik, Rubagotti, Enrico, Ruiz, Milagros A, Russ, Tom C, S Sunnerhagen, Katharina, Saad, Aly M A, Saadatian, Zahra, Saber, Korosh, SaberiKamarposhti, Morteza, Sacco, Simona, Saddik, Basema, Sadeghi, Erfan, Sadeghian, Saeid, Saeed, Umar, Saeed, Usman, Safdarian, Mahdi, Safi, Sher Zaman, Sagar, Rajesh, Sagoe, Dominic, Saheb Sharif-Askari, Fatemeh, Saheb Sharif-Askari, Narjes, Sahebkar, Amirhossein, Sahoo, Soumya Swaroop, Sahraian, Mohammad Ali, Sajedi, Seyed Aidin, Sakshaug, Joseph W, Saleh, Mohamed A, Salehi Omran, Hossein, Salem, Marwa Rashad, Salimi, Sohrab, Samadi Kafil, Hossein, Samadzadeh, Sara, Samargandy, Saad, Samodra, Yoseph Leonardo, Samuel, Vijaya Paul, Samy, Abdallah M, Sanadgol, Nima, Sanjeev, Rama Krishna, Sanmarchi, Francesco, Santomauro, Damian Francesco, Santri, Ichtiarini Nurullita, Santric-Milicevic, Milena M, Saravanan, Aswini, Sarveazad, Arash, Satpathy, Maheswar, Saylan, Mete, Sayyah, Mehdi, Scarmeas, Nikolaos, Schlaich, Markus P, Schuermans, Art, Schwarzinger, Michaël, Schwebel, David C, Selvaraj, Siddharthan, Sendekie, Ashenafi Kibret, Sengupta, Pallav, Senthilkumaran, Subramanian, Serban, Dragos, Sergindo, Mihretu Tagesse, Sethi, Yashendra, SeyedAlinaghi, SeyedAhmad, Seylani, Allen, Shabani, Mohammad, Shabany, Maryam, Shafie, Mahan, Shahabi, Saeed, Shahbandi, Ataollah, Shahid, Samiah, Shahraki-Sanavi, Fariba, Shahsavari, Hamid R, Shahwan, Moyad Jamal, Shaikh, Masood Ali, Shaji, KS, Sham, Sunder, Shama, Adisu Tafari T, Shamim, Muhammad Aaqib, Shams-Beyranvand, Mehran, Shamsi, Mohammad Anas, Shanawaz, Mohd, Sharath, Medha, Sharfaei, Sadaf, Sharifan, Amin, Sharma, Manoj, Sharma, Rajesh, Shashamo, Bereket Beyene, Shayan, Maryam, Sheikhi, Rahim Ali, Shekhar, Shashank, Shen, Jiabin, Shenoy, Suchitra M, Shetty, Pavanchand H, Shiferaw, Desalegn Shiferaw, Shigematsu, Mika, Shiri, Rahman, Shittu, Aminu, Shivakumar, K M, Shokri, Fereshteh, Shool, Sina, Shorofi, Seyed Afshin, Shrestha, Sunil, Siankam Tankwanchi, Akhenaten Benjamin, Siddig, Emmanuel Edwar, Sigfusdottir, Inga Dora, Silva, João Pedro, Silva, Luís Manuel Lopes Rodrigues, Sinaei, Ehsan, Singh, Balbir Bagicha, Singh, Garima, Singh, Paramdeep, Singh, Surjit, Sirota, Sarah Brooke, Sivakumar, Shravan, Sohag, Abdullah Al Mamun, Solanki, Ranjan, Soleimani, Hamidreza, Solikhah, Solikhah, Solomon, Yerukneh, Solomon, Yonatan, Song, Suhang, Song, Yimeng, Sotoudeh, Houman, Spartalis, Michael, Stark, Benjamin A, Starnes, Joseph R, Starodubova, Antonina V, Stein, Dan J, Steiner, Timothy J, Stovner, Lars Jacob, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sun, Jing, Sunkersing, David, Sunny, Angel, Susianti, Hani, Swain, Chandan Kumar, Szeto, Mindy D, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabatabai, Shima, Tabish, Mohammad, Taheri, Majid, Tahvildari, Azin, Tajbakhsh, Ardeshir, Tampa, Mircea, Tamuzi, Jacques JL Lukenze, Tan, Ker-Kan, Tang, Haosu, Tareke, Minale, Tarigan, Ingan Ukur, Tat, Nathan Y, Tat, Vivian Y, Tavakoli Oliaee, Razieh, Tavangar, Seyed Mohammad, Tavasol, Arian, Tefera, Yibekal Manaye, Tehrani-Banihashemi, Arash, Temesgen, Worku Animaw, Temsah, Mohamad-Hani, Teramoto, Masayuki, Tesfaye, Amensisa Hailu, Tesfaye, Edosa Geta, Tesler, Riki, Thakali, Ocean, Thangaraju, Pugazhenthan, Thapa, Rajshree, Thapar, Rekha, Thomas, Nikhil Kenny, Thrift, Amanda G, Ticoalu, Jansje Henny Vera, Tillawi, Tala, Toghroli, Razie, Tonelli, Marcello, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tran, Nghia Minh, Tran, Ngoc-Ha, Tran, Phu Van, Tromans, Samuel Joseph, Truelsen, Thomas Clement, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsegay, Guesh Mebrahtom, Tsermpini, Evangelia Eirini, Tualeka, Abdul Rohim, Tufa, Derara Girma, Ubah, Chukwudi S, Udoakang, Aniefiok John, Ulhaq, Inam, Umair, Muhammad, Umakanthan, Srikanth, Umapathi, Krishna Kishore, Unim, Brigid, Unnikrishnan, Bhaskaran, Vaithinathan, Asokan Govindaraj, Vakilian, Alireza, Valadan Tahbaz, Sahel, Valizadeh, Rohollah, Van den Eynde, Jef, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vaziri, Siavash, Vellingiri, Balachandar, Venketasubramanian, Narayanaswamy, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafańe, Jorge Hugo, Villani, Leonardo, Vinueza Veloz, Andres Fernando, Viskadourou, Maria, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Volovat, Simona Ruxandra, Vu, Loc Tri, Vujcic, Isidora S, Wagaye, Birhanu, Waheed, Yasir, Wahood, Waseem, Walde, Mandaras Tariku, Wang, Fang, Wang, Shu, Wang, Yanzhong, Wang, Yuan-Pang, Waqas, Muhammad, Waris, Abdul, Weerakoon, Kosala Gayan, Weintraub, Robert G, Weldemariam, Abrha Hailay, Westerman, Ronny, Whisnant, Joanna L, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Willekens, Barbara, Wilner, Lauren B, Winkler, Andrea Sylvia, Wolfe, Charles D A, Wu, Ai-Min, Wulf Hanson, Sarah, Xu, Suowen, Xu, Xiaoyue, Yadollahpour, Ali, Yaghoubi, Sajad, Yahya, Galal, Yamagishi, Kazumasa, Yang, Lin, Yano, Yuichiro, Yao, Yao, Yehualashet, Sisay Shewasinad, Yeshaneh, Alex, Yesiltepe, Metin, Yi, Siyan, Yiğit, Arzu, Yiğit, Vahit, Yon, Dong Keon, Yonemoto, Naohiro, You, Yuyi, Younis, Mustafa Z, Yu, Chuanhua, Yusuf, Hadiza, Zadey, Siddhesh, Zahedi, Mohammad, Zakham, Fathiah, Zaki, Nazar, Zali, Alireza, Zamagni, Giulia, Zand, Ramin, Zandieh, Ghazal G Z, Zangiabadian, Moein, Zarghami, Amin, Zastrozhin, Mikhail Sergeevich, Zeariya, Mohammed G M, Zegeye, Zelalem Banjaw, Zeukeng, Francis, Zhai, Chunxia, Zhang, Chen, Zhang, Haijun, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhao, Hanqing, Zhao, Yang, Zheng, Peng, Zhou, Hengxing, Zhu, Bin, Zhumagaliuly, Abzal, Zielińska, Magdalena, Zikarg, Yossef Teshome, Zoladl, Mohammad, Murray, Christopher J L, Ong, Kanyin Liane, Feigin, Valery L, Vos, Theo, and Dua, Tarun

Published
2024
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37. Frequency of Risk factors of urinary tract infection among 2-month to 12-year-old children in Shahid Beheshti Hospital in Kashan, Iran

Author

Davood Kheirkhah, Mohammadsadegh Neshatmoghadam, Mansour Sayyah, Farzaneh Malekpour, seyed Edalat Pishkar, mohadeseh Zarei Yazdeli, and Mohammad Reza Sharif

Subjects
urinary tract infection, risk factors, children, Medicine
Abstract

Background and Aim: Urinary tract infection (UTI) is an acute disease, particularly in children, and also the second most common bacterial disease in children after upper respiratory tract infection. Due to the high prevalence of UTI in children and its high importance, the present study was conducted to determine frequency of risk factors of UTI in children aged 2 months to 12 years at Shahid Beheshti Hospital in Kashan, Iran. Methods: In this cross-sectional study, 274 children aged 2 months to 12 years were examined in Shahid Beheshti Hospital in Kashan, Iran. Data on age, gender, circumcision status, labia adhesion, urinary tract obstruction status, mother's and father's education status, mother's employment status, child care status, and child's underlying diseases were recorded. The collected data were analyzed using descriptive statistics. Results: The findings showed that nearly 87% of children with urinary tract infections were girls. More than 60% of uncircumcised boys and 5% of girls had labia adhesions. Also, nearly 15% of children had urinary stones. In addition, diabetes has been the most common underlying disease among children. Conclusion: Urinary tract infections are involved in causing kidney damage in children, therefore, knowing the related risk factors can be helpful in preventing its occurrence.

Published
2023

38. Double-pyramid and Reverse Step Resistance Training Effectiveness on Physical Fitness Factors Among Elite Female Athletes

Author

Hamid Arazi, Mozhgan Hassanzadeh, and Ali Sayyah

Subjects
resistance training, double pyramid, reverse step, loading pattern, physical fitness, Sports medicine, RC1200-1245
Abstract

Due to the necessity of resistance training for athletes conditioning, loading patterns in order to improve training outcomes have received more attention in recent decades. Accordingly, the purpose of this study was to assess the impact of 8-week resistance training performed with double pyramid (DP) and reverse step (RS) systems on some physical fitness components of elite female athletes. 30 young female handball players are randomly assigned to the three groups of DP (age: 17.43±1.63 year, weight: 70.28±10.14 kg, fat percentage: 15.60±1.17), RS (age: 17.13±1.32 year, weight: 67.80±7.78 kg, fat percentage: 15.40±1.69), and control groups (age: 17.33±1.71 year, weight: 61.04±6.61 kg, fat percentage: 16.50±1.43). Training programs was performed for an eight-week, 3 sessions per week with loading pattern of DP or RS. Measurements including fat percentage, anaerobic power (RAST), agility (Illinois), Speed (45 meter sprint), strength (1RM), and muscle endurance (60% 1RM) are taken before and after the training course.After the training period, DP and RS groups had significant effects on the mean power, upper and lower body muscular endurance, fat percentage, agility and speed (p lt;0.05). Also, DP showed a significantly more increase in upper body strength compared to RS groups and RS showed a significantly more increase in lower body strength compared to DP groups (p lt;0.05). Also, comparison of DP and RS groups showed a significant difference in lower and upper body muscle endurance between the two groups (P lt;0.05); While, there was not a significant difference in anaerobic power, upper and lower body strength, fat percentage, speed, and agility tests between training groups. DP resistance training appears that to have more impact in improving anaerobic power, upper body strength and speed. While, RS ones showed a greater effect on increasing the lower body strength, muscular endurance, agility and fat percentage of female handball players.

Published
2023
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39. High-dose Irradiation Stimulated Breast Tumor Microenvironment to Enhance Tumor Cell Growth and Decrease Tumor Cell Motility

Author

Sepehr Torabinejad, Shokouhozaman Soleymanifard, Sima Sayyah, and Fatemeh Behnam Rasouli

Subjects
breast cancer, intraoperative radiotherapy, neoplasms, radiotherapy, adjuvant, tumor microenvironment, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Background: Surgery and radiotherapy are two main modalities of breast cancer treatment. However, surgery affects the tumor microenvironment negatively and promotes the growth of possible malignant cells remaining in the tumor bed. Objective: The present study aimed to investigate the effects of intraoperative radiotherapy (IORT) on the tumor microenvironment. Therefore, the effect of surgical wound fluid (WF), collected from operated and irradiated patients on the growth and motility of a breast cancer cell line (MCF-7) was assessed. Material and Methods: In this experimental study, preoperative blood serum (PS) and secreted WF from 18 patients who underwent breast-conserving surgery (IORT-) and 19 patients who received IORT following surgery (IORT+) were collected. The samples were purified and added to MCF-7 cultures. Two groups of the cells were treated with and without fetal bovine serum (FBS) and used as positive and negative controls. Applying 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) and scratch wound healing assays, the growth and motility of MCF-7 cells were measured. Results: Cell growth of the cells receiving WF from IORT+ patients (WF+) was statistically higher than the corresponding values of the cells received PS or WF from IORT- patients (WF-) (P

Published
2023
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40. Latent toxoplasmosis impairs learning and memory yet strengthens short-term and long-term hippocampal synaptic plasticity at perforant pathway-dentate gyrus, and Schaffer collatterals-CA1 synapses

Author

Samira Choopani, Bahereh Kiani, Shayan Aliakbari, Jalal Babaie, Majid Golkar, Hamid Gholami Pourbadie, and Mohammad Sayyah

Subjects
Medicine, Science
Abstract

Abstract Investigating long-term potentiation (LTP) in disease models provides essential mechanistic insight into synaptic dysfunction and relevant behavioral changes in many neuropsychiatric and neurological diseases. Toxoplasma (T) gondii is an intracellular parasite causing bizarre changes in host’s mind including losing inherent fear of life-threatening situations. We examined hippocampal-dependent behavior as well as in vivo short- and long-term synaptic plasticity (STP and LTP) in rats with latent toxoplasmosis. Rats were infected by T. gondii cysts. Existence of REP-529 genomic sequence of the parasite in the brain was detected by RT-qPCR. Four and eight weeks after infection, spatial, and inhibitory memories of rats were assessed by Morris water maze and shuttle box tests, respectively. Eight weeks after infection, STP was assessed in dentate gyrus (DG) and CA1 by double pulse stimulation of perforant pathway and Shaffer collaterals, respectively. High frequency stimulation (HFS) was applied to induce LTP in entorhinal cortex-DG (400 Hz), and CA3-CA1 (200 Hz) synapses. T. gondii infection retarded spatial learning and memory performance at eight weeks post-infection period, whereas inhibitory memory was not changed. Unlike uninfected rats that normally showed paired-pulse depression, the infected rats developed paired-pulse facilitation, indicating an inhibitory synaptic network disruption. T. gondii-infected rats displayed strengthened LTP of both CA1-pyramidal and DG-granule cell population spikes. These data indicate that T. gondii disrupts inhibition/excitation balance and causes bizarre changes to the post-synaptic neuronal excitability, which may ultimately contribute to the abnormal behavior of the infected host.

Published
2023
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41. The cytotoxic effect of conjugated iron oxide nanoparticle by Papaverine on colon cancer cell line (HT29) and evaluation the expression of CASP8 and GAS6-AS1 genes

Author

Deniz kazemzadeh, Noor Hussein Abdulrahman, Nada Gasid Shlash, Sevda Gholipoor, Isam Hameed Khalaf, Ali Sayyah, Fahimeh Abedini Bajgiran, Fatemeh Akbari, Sara Ghanbarnezhad, Shahrzad Aghajani, and Ali Salehzadeh

Subjects
Apoptosis, Colon cancer, Iron oxide, Papaverine, Chemistry, QD1-999
Abstract

Treating chemoresistant and metastatic colon cancers faces major difficulties. Due to their high biocompatibility and magnetic property, Iron oxide nanoparticles have gained attention for the delivery of anticancer compounds. Papaverine is an alkaloid from opium that has shown anticancer properties on several cancer cells. Therefore, in this work, Iron oxide nanoparticles were conjugated with Papaverine through glucose (Glu) functionalization, and the anticancer effect of Fe3O4@Glu-Papaverine on colon cancer cells was investigated. Characterization of the synthesized NPs was confirmed by fourier-transform infrared spectroscopy (FTIR), X-Ray diffraction analysis (XRD), energy dispersive spectroscopy-mapping (EDS-Mapping), scanning electron microscopy (SEM), transmission electron microscopy (TEM), vibrating-sample magnetometer (VSM), dynamic light scattering (DLS), and zeta potential analysis. The antiproliferative effect of the nanoparticles on colon cancer cells (HT29 cell line) and normal human cells (HFF-19 cell line) was studied by (3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide) (MTT) assay at 24 h. The apoptogenic property and cell cycle of nanoparticle treated cells were studied by flow cytometry by Annexin V and PI Apoptosis method. The Real-time polymerase chain reaction was used to investigate the effect of Fe3O4@Glu-Papaverine on the expression of the CASP8 and GAS6-AS1 genes by 2-ΔΔCT method. Physicochemical characterization revealed that the particles were synthesized properly, without impurities, and were in the size range of 20 to 50 nm. Also, the magnetic saturation was measured 50 emu/g. The particles were considerably more toxic for cancer cells than normal cells with IC50 values of 187 and 356 µg/mL, respectively. An increased level of cell cycle arrest at the sub-G1 phase was observed and the frequency of apoptotic cells was increased from 0.89 % to 87.2 %. Also, treating cancer cells with the nanoparticles significantly induced the CASP8 gene (3.5 folds) while attenuated the GAS6-AS1 gene by 0.54 folds. This study represents Fe3O4@Glu-Papaverine NPs as a potent anticancer compound against colon cancer cells.

Published
2024
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42. Relationship between health literacy and generalized anxiety disorder during the COVID-19 pandemic in Khuzestan province, Iran

Author

Amirreza Dadgarinejad, Nargess Nazarihermoshi, Negar Hematichegeni, Mahta Jazaiery, Shabnam Yousefishad, Hashem Mohammadian, Mehdi Sayyah, Maryam Dastoorpoor, and Maria Cheraghi

Subjects
health literacy, generalized anxiety disorder, COVID-19, Iran, pandemic, Psychology, BF1-990
Abstract

IntroductionDuring the COVID-19 pandemic, many changes occurred in various cultural, social, and economic fields, leading to the creation of psychological effects, especially anxiety, in the community. Fear and anxiety about emerging diseases (COVID-19) and less participation in preventive behaviors reduce individual resistance and ultimately lower one’s quality of life. Therefore, we aimed to investigate the relationship between health literacy and generalized anxiety disorder during the COVID-19 pandemic in Khuzestan province, Iran.MethodsThis was a descriptive-analytical (cross-sectional) study conducted among participants aged 18–65 in Khuzestan province during the years 2020–2021 through online sampling. Due to the prevalence of COVID-19 and the impossibility of face-to-face communication, the questionnaire was designed on the Porseline Survey website and the questionnaire link was provided to participants through WhatsApp and Telegram. The data collection tool includes the Iranian Health Literacy Questionnaire, which includes 33 items, and the Generalized Anxiety Disorder-7 scale, which has 7 items based on a Likert scale. Data analysis was performed using STATA14 software and descriptive and analytical statistical tests at a significant level less than 0.05.ResultsThe mean (standard deviation) score for health literacy was 52.9 ± 9.3 and for generalized anxiety disorder was 5.2 ± 3.1. A significant negative correlation was found between the mean of anxiety disorder and health literacy (p

Published
2024
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43. Addressing Resiliency of In-Memory Floating Point Computation

Author

Ensan, Sina Sayyah, Ghosh, Swaroop, Motaman, Seyedhamidreza, and Weast, Derek

Subjects
Computer Science - Hardware Architecture
Abstract

In-memory computing (IMC) can eliminate the data movement between processor and memory which is a barrier to the energy-efficiency and performance in Von-Neumann computing. Resistive RAM (RRAM) is one of the promising devices for IMC applications (e.g. integer and Floating Point (FP) operations and random logic implementation) due to low power consumption, fast operation, and small footprint in crossbar architecture. In this paper, we propose FAME, a pipelined FP arithmetic (adder/subtractor) using RRAM crossbar based IMC. A novel shift circuitry is proposed to lower the shift overhead during FP operations. Since 96% of the RRAMs used in our architecture are in High Resistance State (HRS), we propose two approaches namely Shift-At-The-Output (SATO) and Force To VDD (FTV) (ground (FTG)) to mitigate Stuck-at-1 (SA1) failures. In both techniques, the fault-free RRAMs are exploited to perform the computation by using an extra clock cycle. Although performance degrades by 50%, SATO can handle 50% of the faults whereas FTV can handle 99% of the faults in the RRAM-based compute array at low power and area overhead. Simulation results show that the proposed single precision FP adder consumes 335 pJ and 322 pJ for NAND-NAND and NOR-NOR based implementations, respectively. The area overheads of SATO and FTV are 28.5% and 9.5%, respectively.

Published
2020

44. SCARE: Side Channel Attack on In-Memory Computing for Reverse Engineering

Author

Ensan, Sina Sayyah, Nagarajan, Karthikeyan, Khan, Mohammad Nasim Imtia, and Ghosh, Swaroop

Subjects
Computer Science - Hardware Architecture
Abstract

In-memory computing architectures provide a much needed solution to energy-efficiency barriers posed by Von-Neumann computing due to the movement of data between the processor and the memory. Functions implemented in such in-memory architectures are often proprietary and constitute confidential Intellectual Property. Our studies indicate that IMCs implemented using RRAM are susceptible to Side Channel Attack. Unlike conventional SCAs that are aimed to leak private keys from cryptographic implementations, SCARE can reveal the sensitive IP implemented within the memory. Therefore, the adversary does not need to perform invasive Reverse Engineering to unlock the functionality. We demonstrate SCARE by taking recent IMC architectures such as DCIM and MAGIC as test cases. Simulation results indicate that AND, OR, and NOR gates (building blocks of complex functions) yield distinct power and timing signatures based on the number of inputs making them vulnerable to SCA. Although process variations can obfuscate the signatures due to significant overlap, we show that the adversary can use statistical modeling and analysis to identify the structure of the implemented function. SCARE can find the implemented IP by testing a limited number of patterns. For example, the proposed technique reduces the number of patterns by 64% compared to a brute force attack for a+bc function. Additionally, analysis shows improvement in SCAREs detection model due to adversarial change in supply voltage for both DCIM and MAGIC. We also propose countermeasures such as redundant inputs and expansion of literals. Redundant inputs can mask the IP with 25% area and 20% power overhead. However, functions can be found by greater RE effort. Expansion of literals incurs 36% power overhead. However, it imposes brute force search by the adversary for which the RE effort increases by 3.04X.

Published
2020

49. Physics of Electrostatic Projection Revealed by High-Speed Video Imaging

Author

Sayyah, Arash, Mirzadeh, Mohammad, Jiang, Yi, Gleason, Warren V., Rice, William C., and Bazant, Martin Z.

Subjects
Condensed Matter - Soft Condensed Matter, Physics - Fluid Dynamics
Abstract

Processes based on electrostatic projection are used extensively in industry, e.g. for mineral separations, electrophotography or manufacturing of coated abrasives, such as sandpaper. Despite decades of engineering practice, there are still unanswered questions. In this paper, we present a comprehensive experimental study of projection process of more than 1500 individual spherical alumina particles with a nominal size of 500 $\mu$m, captured by high-speed video imaging and digital image analysis. Based on flight trajectories of approximately 1100 projected particles, we determined the acquired charge and dynamics as a function of relative humidity (RH) and electric field intensity and compared the results with classical theories. For RH levels of 50\% and above, more than 85\% of disposed particles were projected, even when the electric field intensity was at its minimum level. This suggests that, beyond a critical value of electric field intensity, relative humidity plays a more critical role in the projection process. We also observed that the charging time is reduced dramatically for RH levels of 50\% and above, possibly due to the build-up of thin water films around the particles which can facilitate charge transfer. In contrast, projected particles at 30\% RH level exhibited an excessive amount of electric charge, between two to four times than that of saturation value, which might be attributed to triboelectric charging effects. Finally, the physics of electrostatic projection is compared and contrasted with those of induced-charge electrokinetic phenomena, which share similar field-square scaling, as the applied field acts on its own induced charge to cause particle motion.

Published
2019
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