Myocardial infarction mortality and its association with selected risk factors: prospective study data by D. A. Mamaradzhapova, R. Sh. Mamutov

“…То study myocardial infarction (MI) mortality and its links with selected risk factors (RFs) in an non-organized population of 40-59-year-old men followed up for 25 years.Material and methods. The baseline examination was performed as a cross-sectional epidemiologic study in a representative sample from Tashkent City male population (1979-80). …”
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AN AGENCY THEORY APPROACH TO DISINTERMEDIATION IN THE MICE DISTRIBUTION CHANNEL FROM THE PERSPECTIVE OF THE HOTEL INDUSTRY by Alberto Rojas, English

“…It uses a dominant/sequential qual-QUAN mixed methods approach. Firstly, through interviews with MICE professionals to validate the research variables, test sample and questionnaire. …”
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Cyberbullying through the lens of trauma: an empirical examination of US youth by Sameer Hinduja, Justin W. Patchin

“…Considering the current attention surrounding mental health and well-being among adolescents, it seems critical to empirically measure this relationship, and also determine if some types have a stronger negative influence. Methods Data utilized in this study were derived from a survey conducted on a nationally-representative sample in 2023 involving 2,697 English-speaking middle and high school students aged 13 to 17 residing within the United States. …”
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Determinants of STI Risk Behaviors as a Function of Alcohol use and Incarceration History Among Male Adolescent Offenders by Torrance Stephens

“…Aims: The purpose of this analysis was to identify bivariate correlates of history of prior incarceration, and self-reported risky sexual practices among a sample of adolescent male detainees. Methods: The current analyses included 139 male adolescent offenders enrolled in an AOD/HIV prevention intervention conducted in a juvenile detention facility in a major Southeastern city in the USA. …”
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Hoe hot is .brussels? Analyse van de introductie van de top level domeinnaam .brussels by Margot Waty, Seth van Hooland, Simon Hengchen, Mathias Coeckelbergs, Max De Wilde, Jean-Michel Decroly

“…Based on a statistically representative sample (592 domain names), a qualitative interpretation allowed a more fine-grained analysis of how the new TLDN is being used in practice. …”
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The Impact of Organizational Justice on Achieving Competitive Advantage: An Applied Study in the Department of Health of Salah al-Din Gove by Farah Saad Kamel*

“…A research methodology was applied based on collecting data from a sample of (385) employees in the Department of Health of Salah al-Din Governorate using a questionnaire, and analyzing it using a set of statistical methods that included calculating averages and standard deviations, in addition to using the multiple linear regression test to analyze the impact of organizational justice on competitive advantage. …”
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Climate change anxiety and pro-environmental behaviours: disentangling gender disparities by Mariana Pinho

“…Climate change anxiety has been identified as a relevant consequence of climate change globally.MethodsThe current study explored how climate change anxiety and pro-environmental behaviour vary with gender and social psychological characteristics, using a nationally representative Portuguese sample.ResultsThe findings revealed that women reported higher levels of climate change anxiety compared to men, and this was driven by women’s higher levels of climate change anxiety cognitive impairment. …”
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An Enhanced Hybrid Model Combining CNN, BiLSTM, and Attention Mechanism for ECG Segment Classification by Mechichi Najia, Benzarti Faouzi

“…To tackle uneven class distributions, SMOTE synthesizes new samples, making the model more robust. Evaluation on MIT-BIH arrhythmia database yields remarkable results with 99.20% accuracy, 97.50% sensitivity, 99.81% specificity, and 98.29% mean F 1 score. …”
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Research on test strategy for randomness based on deep learning by Dongyu CHEN, Hua CHEN, Limin FAN, Yifang FU, Jian WANG

“…In order to achieve better test performance, researches on the randomness test strategies based on deep learning were conducted, including the batch average strategy proposed by EUROCRYPT 2021 and the selection strategy for data unit size.By introducing the randomness statistical test model based on deep learning methods, the statistical distribution and test power expression of two test strategies were theoretically derived, and it was pointed out that: (i) the batch average strategy could amplify the prediction accuracy of the model, but it was prone to an increase in the probability of the second type of error in statistics, instead reducing the statistical test power; (ii) the smaller data units of the deep model generally obtained the more powerful statistical tests.Based on the above understanding, a new bit-level deep learning model was proposed for randomness statistical tests, which gained the advantage of prediction with 80 times fewer parameters and 50% samples, compared with the previous work on linear congruent generator (LCG) algorithm, and achieved significant prediction advantages with 10～20 times fewer parameters by extending the model to apply to 5～7 rounds of Speck, compared with the model proposed by Gohr.…”
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Evaluation of Stylohyoid Ligament Calcifications in the Central Anatolian Region by Ali Altındağ

“…Furthermore, it would be more useful to evaluate the prevalence of ESP with larger sample groups and advanced imaging methods.…”
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NURSING CARE OF ACUTE PAIN IN CLIENTS WITH ACUTE MYOCARDIAL INFARCTION IN THE ICCU ROOM, DR. SOEGIRI HOSPITALS LAMONGAN by Qurorin In

“…Soegiri Hospitals Lamongan. Methods: research using case studies. The sample used was one IMA client with acute pain. …”
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Some hematological and biochemical parameter levels in healthy van cats at different age and gender by Cumali Özkan, Süleyman Kozat, Abdullah Kaya, Yakup Akgül

“…The cats 6 to 12 months were taken to the study as 1st group, 12 to 24-month cats were taken to the 2nd group, and 24 to more-month cats were taken to the 3rd group. From blood samples received, hematological and biochemical parameter values were identified.…”
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Evaluation of molecular and serological testing for imported urogenital schistosomiasis screening in a referral tropical medicine centre in Barcelona, Spain by Patricia Martínez-Vallejo, Alejandro Mediavilla, Aroa Silgado, Francesc Zarzuela, Lidia Goterris, Carles Rubio Maturana, Nuria Serre-Delcor, Inés Oliveira-Souto, Fernando Salvador, Joan Joseph-Munne, María Luisa Aznar, Diana Pou, Begoña Treviño, Israel Molina, Javier Sotillo, Elena Sulleiro

“…Conclusions Real-time PCR proved to be more sensitive than microscopy for diagnosing imported UGS in non-endemic settings, with minimal discordance between methods. …”
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Accurate Indentification of Pathogenic Mutations Conferring α1-Antitrypsin Deficiency by a Novel Multiplexed Molecular AssayTake-home Points by Emily K. DeCurtis, BSc, Sharon K. Kuss-Duerkop, PhD, Iara M.P. Machado, PhD, Zoe P. Stewart, BSc, Matt Jackson, MS, Ellie Hasenohr, BSc, Jessica L. Crumby, BSc, Steve D. Groshong, MD, PhD, Claire M. Coeshott, PhD, Ronald J. Harbeck, PhD, James P. Woodrow, MD, Robert A. Sandhaus, MD, PhD, Yongbao Wang, PhD

“…Research Question: Can a rapid and more accurate molecular diagnostic assay be developed that identifies AATD-associated mutations and outperforms current limited methodology? …”
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Metabolomic machine learning-based model predicts efficacy of chemoimmunotherapy for advanced lung squamous cell carcinoma by Liang Zheng, Wei Nie, Shuyuan Wang, Ling Yang, Fang Hu, Fang Hu, Meili Ma, Lei Cheng, Jun Lu, Bo Zhang, Jianlin Xu, Ying Li, Yinchen Shen, Wei Zhang, Runbo Zhong, Tianqing Chu, Baohui Han, Xiaoxuan Zheng, Xiaoxuan Zheng, Hua Zhong, Xueyan Zhang

“…The aim of our study was to establish a model that can predict the prognosis of chemoimmunotherapy in patients with advanced lung squamous cell carcinoma, integrating metabolomics with machine learning techniques.MethodsWe collected 79 serum samples from patients with advanced lung squamous cell carcinoma before receiving combined immunotherapy and performed untargeted metabolomics analysis. …”
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Pseudomonas aeruginosa Detection Using Conventional PCR and Quantitative Real-Time PCR Based on Species-Specific Novel Gene Targets Identified by Pangenome Analysis by Chufang Wang, Chufang Wang, Qinghua Ye, Aiming Jiang, Jumei Zhang, Yuting Shang, Fan Li, Baoqing Zhou, Xinran Xiang, Qihui Gu, Rui Pang, Yu Ding, Shi Wu, Moutong Chen, Qingping Wu, Qingping Wu, Juan Wang, Juan Wang

“…Compared with the endpoint PCR and traditional culture methods, the qPCR assay was more sensitive by one or two orders of magnitude. …”
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Association between Oral Pathology, Carotid Stenosis, and Oral Bacterial DNA in Cerebral Thrombi of Patients with Stroke by Olli Patrakka, Helena Mehtonen, Sari Tuomisto, Juha-Pekka Pienimäki, Jyrki Ollikainen, Heini Huhtala, Tanja Pessi, Niku Oksala, Terho Lehtimäki, Jorma Järnstedt, Mika Martiskainen, Pekka J. Karhunen

“…Paradoxically, patients with better oral health had more oral streptococcal DNA in their thrombus than the group with the worst pathology (p=0.028). …”
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Association of digital screen use during recess with physical activity behaviours in 10-year-old to 17-year-old Danish adolescents: a population-based cross-sectional study by Soren Brage, Jens Troelsen, Anders Grøntved, Peter Lund Kristensen, Jan C Brønd, Anne Kær Gejl, Niels C Møller, Kristian T Larsen, Sofie Koch, Natascha H Pedersen

“…This study aimed to examine the association of screen use during recess with physical activity behaviours.Methods The study was based on a population-based cross-sectional study including 1347 adolescents from 28 schools (2017–2018). …”
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Dynamic changes in platelet counts and psychological state in ITP patients after COVID-19 infection by Xiaoli Chen, Dan Wang, Dan Wang, Jie Tang, Li Wang, Yao Quan, Jia Liu, Zhongmin Zou, Hengrui Sun, Yimei Feng, Xi Zhang

“…For ITP patients, they are more concerned that COVID-19 will worsen the condition of ITP and delay its recovery. …”
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Role of Inflammatory Markers as a Risk Factor for Community-Acquired Pneumonia Management by Ruta Nutautiene, Irmantas Aleksa, Ieva Janulaityte, Erika Skrodeniene, Kristina Bieksiene, Diana Zaliaduonyte, Darius Batulevicius, Astra Vitkauskiene

“…<i>Results</i>: Aetiology was identified in 87.8% of cases, with typical bacterial pathogens being more prevalent among older, smoking patients, while atypical pathogens were more common among younger, non-smoking patients. …”
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