Prediction of Grade 4 radiation-induced lymphopenia during chemoradiation therapy for lung cancer patients: Insights from two past trials by Serena Monti, Giuseppe Palma, Ting Xu, Radhe Mohan, Zhongxing Liao, Laura Cella

“…Background and Purpose: Radiation-induced lymphopenia (RIL) is a significant side effect associated with radiation therapy (RT) with important prognostic implications. We developed and tested a normal tissue complication probability (NTCP) model for Grade 4 (G4) RIL in patients with locally advanced Non-Small-Cell Lung Cancer (NSCLC) who underwent concurrent chemotherapy and RT, analyzing data from patients enrolled in two clinical trials. …”
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Diagnostic accuracy of cartridge-based nucleic acid amplification test and resistance pattern in new and previously treated tuberculosis cases: A prospective observational study by Ranjit Suva, Gaurang Khadiya, Kinjal D. Rami, Urvashi Modh, Firoz Ghanchi, Yogesh Murugan

“…Descriptive statistical analyses were performed to present data as percentages and frequencies. Diagnostic accuracy analysis was conducted. …”
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Evaluating quality in adolescent mental health services: a systematic review by Delan Devakumar, Rafael Cortez, Lígia Kiss, Meaghen Quinlan-Davidson, Kathryn J Roberts, Susan M. Sawyer

“…This included adolescents exposed to interventions or strategies within mental health services.Study appraisal and synthesis methods Study quality was assessed using the National Institutes for Health Study Quality Assessment Tools. Data were extracted and grouped based on WHO quality Standards.Results Of the 20 104 studies identified, 20 articles were included. …”
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Digitalised validation systems as an enabler for quality 4.0 within a medical device manufacturer by Olivia McDermott, Neasa Conroy, M. Thenarasu, Susana Duarte

“…Findings: Digitalised validation systems have benefits, including more sustainable processes with the elimination of paper, a streamlined review and approval process, and the successful management of data integrity for large volumes of validation data while also decreasing opportunities for audit findings. …”
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The microbiome’s influence on the neurobiology of opioid addiction and brain connectivity by Sade C. Iriah, Nicholas Rodriguez, Marcelo Febo, Madeleine Morrissette, Philip Strandwitz, Praveen Kulkarni, Craig F. Ferris

“…Functional connectivity data were collected providing site-specific analysis for over 140 different brain areas. …”
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Comparative Advantage of Turkish Olive Oil in Global Markets: An Empirical Analysis by Abdulmusa Sönmüş, Mehmet Hanifi Aslan

“…Design/methodology/approach: The data for the research was collected from mainly World Bank and trade ministries of subject countries. …”
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Measuring autonomy in hybrid work: scale development by Pallavi Datta, Sathiyaseelan Balasundaram, Elangovan N, Sridevi Nair

“…Phase 2 encompassed the scale validation process, which included Exploratory Factor Analysis (EFA) to identify the underlying factor structure and Confirmatory Factor Analysis (CFA) to validate the model and assess its fit. Results The data collected from 313 IT employees working in Bengaluru, India, was analyzed to confirm data normality (below ± 2.58). …”
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Predicting Phubbing Through Machine Learning: A Study of Internet Usage and Health Risks by Ayşen Yalman, Mehmet Arif Arık, Mehmet Kayakuş, Murad Karaduman, Sibel Karaduman, Fatma Yiğit Açıkgöz, Tuba Livberber, Fahrettin Kayan

“…All four models were successful in predicting internet usage, with the ANN showing the highest accuracy, followed by SVR, RF, and the time series. According to the data, the average daily time spent online increased from 277 min in 2014 to 417 min in 2024. …”
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SSMM-DS: A semantic segmentation model for mangroves based on Deeplabv3+ with swin transformer by Zhenhua Wang, Jinlong Yang, Chuansheng Dong, Xi Zhang, Congqin Yi, Jiuhu Sun

“…Using Deeplabv3+ as the basic framework, we first constructed a data concatenation module to improve the contrast between mangroves and other vegetation or water. …”
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Strategic Implementation of Super-Agents in Heterogeneous Multi-Agent Training for Advanced Military Simulation Adaptability by Huseyin Oktay Altun, Huseyin Furkan Ceran, Korkut Kutay Metin, Tolga Erol, Emre Fisne

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Fossil Diatoms Reveal Natural and Anthropogenic History of Jackson Lake (Wyoming, USA) by John Dilworth, Jeffery R. Stone, Kevin M. Yeager, J. Ryan Thigpen, Michael M. McGlue

“…Paleoecological (diatoms) and geochemical datasets were developed on a well-dated sediment core and compared with available hydroclimate data from the region, to assess patterns of limnological change. …”
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Lived experiences of Iranian employed women with maintaining work-life balance: a descriptive phenomenological study by Nastaran Heydarikhayat, Saba Heydarikhayat, Tahmineh Salehian, Narges Heydarikhayat, Camelia Rohani

“…Methods In this descriptive phenomenological study, 16 full-time employed women were selected by purposive sampling. Data collection was done through individualized semi-structured and in-depth interviews with participants. …”
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INFOGRAPHICS AS A MEANS OF COMMUNICATING AND DISSEMINATING TECHNOLOGIES IN SMALL-SCALE DAIRY FARMS FROM CENTRAL MEXICO by Gabriela Martínez-Álvarez, Carlos Manuel Arriaga-Jordán, Isabel Blanco-Penedo, Carlos Galdino Martínez-García

“…Methodology. To collect the data, a questionnaire was applied to 108 dairy farmers from central Mexico. …”
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Expressing stance in brand posts on Facebook: a cross-cultural investigation by Iman Hany Omar, Iman Mahfouz, Sameh Al Ansary, Nevine Sarwat

“…Accordingly, a contrastive analysis is performed in which the Arabic and English Facebook pages are compared. Data are collected over a period of 5.5 months yielding a corpus of 214 Facebook posts. …”
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Development of a cloud-based IoT system for livestock health monitoring using AWS and python by Harini Shree Bhaskaran, Miriam Gordon, Suresh Neethirajan

“…This system is designed to track critical health indicators such as movement patterns, body temperature, and heart rate, utilizing AWS for robust data handling and Python for data processing and real-time analytics. …”
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PREDICTION OF STILLBORN PIGLETS FROM MULTIPAROUS SOWS by Daniel Alonso Domínguez-Olvera, José Guadalupe Herrera-Haro, José Ricardo Bárcena-Gama, María Esther Ortega-Cerrilla, Francisco Ernesto Martínez-Castañeda, Antonio José Rouco-Yáñez, María Angélica Ortiz-Heredia, Nathaniel Alec Rogers-Montoya

“…The development of predictive models based on existing data can enable farms to anticipate stillbirths in sows. …”
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The lived experiences of oropharyngeal dysphagia in adults living with fibromyalgia by Órla Gilheaney, Joeann Hussey, Kathleen McTiernan

“…The same researcher conducted the interviews and extracted all data, and a second researcher analysed a random sample of 5% of the data for accuracy, with no disagreements arising between the two researchers. …”
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Anatomical and clinical perspectives on the distal humeral fossae: A study in South Indian dry bones by Nandini Prashanth Bhat, Ashwija Shetty, Kurian Alapatt, Nom Kumar Naik Bhukya, Sushma Prabhath, Suhani Sumalatha

“…However, comprehensive data on all three fossae in South Indian dry humeri remain limited. …”
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Ready-to-eat food intake associates with PHQ-9-based depression in US adults: a cross-sectional study by Maximilian Andreas Storz

“…Methods Using crude and multivariate logistic regression models, this study explored potential associations between self-reported ready-to-eat food intake frequency and PHQ-9-based depression in US adults aged 20 years or older based on data from the cross-sectional National Health and Nutrition Examination Survey (2011–2018). …”
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Depopulation and aging–challenges for Croatia's climate resilience by Ana-Maria Boromisa

“…The starting hypothesis is that limitations in human capital critically hinder climate-resilient development in Croatia.MethodsThe study uses climate data and literature to contextualize Croatia's climate vulnerability. …”
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