TROPION-Breast04: a randomized phase III study of neoadjuvant datopotamab deruxtecan (Dato-DXd) plus durvalumab followed by adjuvant durvalumab versus standard of care in patients... by Heather L. McArthur, Sara M. Tolaney, Rebecca Dent, Peter Schmid, Jamil Asselah, Qiang Liu, Jane Lowe Meisel, Naoki Niikura, Yeon Hee Park, Gustavo Werutsky, Giampaolo Bianchini, Jay C. Andersen, Robert Kozarski, Nana Rokutanda, Barbara Pistilli, Sibylle Loibl

“…All patients will provide written informed consent. Discussion: This study will evaluate the potential use of neoadjuvant Dato-DXd plus durvalumab followed by adjuvant durvalumab with or without chemotherapy versus standard of care in patients with previously untreated early-stage TNBC or HR-low/HER2− breast cancer. …”
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Human cytomegalovirus (HCMV) trends in Sri Lanka: insights from a hospital-based seroprevalence analysis by Narapity Pathirannehalage Sunil-Chandra, Madawala Vithanage Madusha Lakmali Jayasundara, Maththe Gama Ralalage Shobha Sanjeewani Gunathilaka, Suduwa Dewage Himal Suminda

“…This study provides essential background information on HCMV infection and its impacts in diverse populations of Sri Lanka and aids in executing preventive and therapeutic measures in high-risk populations.…”
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A Deep Learning Framework for the Classification of Brazilian Coins by Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani

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Psychosocial determinants of the willingness to pay for social health insurance among workers at a commercial bank in Dessie, Ethiopia: a multi-setting study by Alemayehu Mebratu Abate, Asnakew Molla Mekonen, Abebe Kibret Assfaw, Husien Nurahmed Toleha, Ewunetie Mekashaw Bayked

“…The relationship between dependent and independent variables was determined using the odds ratios at a p value less than 0.05 with a 95% CI.ResultsOf 396 samples, 264 (66.7%) responded, of which 93.9% had information about SHI, mainly from broadcast media (71.0%). …”
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Analisis Sentimen Wacana Pemindahan Ibu Kota Indonesia Menggunakan Algoritma Support Vector Machine (SVM) by Primandani Arsi, Retno Waluyo

“…Sentiment analysis is a process of extracting, understanding and processing unstructured data to get sentiment information which is found in an opinion sentence. Application of sentiment analysis using machine learning methods shows that there are several methods that are often used. …”
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Autonomous experimental studies resistojet with two autonomous heating elements for nanosatellites by V. N. Blinov, V. V. Kositsyn, A. I. Lukyanchik, P. V. Stepen, P. S. Yachmenev

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External validation of an artificial intelligence model using clinical variables, including ICD-10 codes, for predicting in-hospital mortality among trauma patients: a multicenter... by Seungseok Lee, Do Wan Kim, Na-eun Oh, Hayeon Lee, Seoyoung Park, Dong Keon Yon, Wu Seong Kang, Jinseok Lee

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THE PLACE OF PROFESSIONAL EDUCATION SYSTEM IN FORMATION OF GRADUATES’ COMPETITIVENESS by G. F. Shafranov-Kutsev, G. Z. Efimova

“…Today, the main task of students is the acquisition of skills of orientation and navigation in the information flow and space of powerful socio-cultural transformations. …”
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Using Sequence Mining to Predict Complex Systems: A Case Study in Influenza Epidemics by Theyazn H. H. Aldhyani, Manish R. Joshi, Shahab A. AlMaaytah, Ahmed Abdullah Alqarni, Nizar Alsharif

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Adult dietary patterns and their association with iodine nutrition levels and thyroid function: a cross-sectional study by Gulinaizeer Abuduwaili, Jia Huang, Yan Ma, Hongguang Sun

“…A serum sample of 5 ml was collected for the determination of free triiodothyronine, free thyroxine and thyrotropin, and diet-related information was collected through a FFQ. Dietary patterns were extracted by principal component analysis, and the relationship between dietary patterns and iodine nutrition levels and thyroid function was explored. …”
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Automated Generation of Multiple-Choice Questions for Computer Science Education Using Conditional Generative Adversarial Networks by Muhammad Shoaib, Ghassan Husnain, Nasir Sayed, Yazeed Yasin Ghadi, Masoud Alajmi, Ayman Qahmash

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Public Health Messaging on Twitter During the COVID-19 Pandemic: Observational Study by Ashwin Rao, Nazanin Sabri, Siyi Guo, Louiqa Raschid, Kristina Lerman

“… BackgroundEffective communication is crucial during health crises, and social media has become a prominent platform for public health experts (PHEs) to share information and engage with the public. At the same time, social media also provides a platform for pseudoexperts who may spread contrarian views. …”
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INSEGNARE IL LESSICO CON I DIZIONARI DELL’USO by Massimo Prada

“…The text is divided into two sections: the first one provides information on usage dictionaries as a fundamental cognitive requisite; the second one presents a teaching unit comprising five lessons, with an estimated total duration of fifteen hours. …”
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Prognostic Value of the Red Blood Cell Distribution Width-to-Albumin Ratio in Critically Ill Older Patients with Acute Kidney Injury: A Retrospective Database Study by Lei Guo, Dezhun Chen, Bihuan Cheng, Yuqiang Gong, Benji Wang

“…We recorded demographics, laboratory tests, comorbidities, vital signs, and other clinical information from the MIMIC-III V1.4 dataset. The primary endpoint was 90-day all-cause mortality, and the secondary endpoints were 30-day mortality, one-year mortality, renal replacement treatment (RRT), duration of stay in the intensive care unit (ICU), sepsis, and septic shock. …”
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Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature by Mehdi Gheisari, Jana Shafi, Saeed Kosari, Samaneh Amanabadi, Saeid Mehdizadeh, Christian Fernandez Campusano, Hemn Barzan Abdalla

“…The performance of the proposed merged methods, including EEMD-AdaBoost, EEMD-LSTM, and EEMD-GRU, were compared with their simple forms. The outcomes illustrated that the hybrid models performed better than the relevant individual methods; however, the river WT forecasts of EEMD-LSTM and EEMD-GRU were found to be much closer to the observed data than those of the EEMD-AdaBoost method. …”
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Hierarchical structure Fe@CNFs@Co/C elastic aerogels with intelligent electromagnetic wave absorption by Hongwei Zhou, Ying Lin, Yongzhen Ma, Luyao Han, Zhixin Cai, Yan Cheng, Qibin Yuan, Wenhuan Huang, Haibo Yang, Renchao Che

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Computational network analysis of two popular skin cancers provides insights into the molecular mechanisms and reveals common therapeutic targets by Md Sujan Mahmud, Bikash Kumar Paul, Md. Rakibul Hasan, K.M. Tanjida Islam, Imran Mahmud, Shahin Mahmud

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How Authoritative Media and Personal Social Media Influence Policy Compliance Through Trust in Government and Risk Perception: Quantitative Cross-Sectional Survey Study by Hua Zhang, Cheng Yang, Xiuxian Deng, Chunyan Luo

“…Authoritative institutions need to balance providing authoritative information with maintaining the public’s risk perception.…”
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Designing the behavioral model of stakeholders in the corporate governance of iran's social security organization and its affiliated companies by Sepahdar Ansarinik, Seyed Jamaledin Tabibi

“…The root mean square error of approximation (RMSEA) was 0.097, falling within the acceptable range of 0.05 to 0.1. The Akaike Information Criterion (AIC) was 1812, closer to the saturated model index (1404) compared to the independent model (5660), indicating a good fit of the model.Originality/Value: Overall, six stakeholder groups were identified in the corporate governance of companies affiliated with the Social Security Organization: institutional stakeholders, government, political stakeholders, social networks, economic stakeholders, and shareholders. …”
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Association between the screen time spent watching short videos at bedtime and essential hypertension in young and middle-aged people: a cross-sectional study by Fengde Li, Fangfang Ma, Shangyu Liu, Le Wang, Lishuang Ji, Mingqi Zheng, Gang Liu

“…The collected data, including self-reported screen time spent watching short videos at bedtime and general information, were partitioned into a training set and a test set, with the former being divided into hypertensive and non-hypertensive groups. …”
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