MENet: A Mitscherlich function based ensemble of CNN models to classify lung cancer using CT scans. by Surya Majumder, Nandita Gautam, Abhishek Basu, Arup Sau, Zong Woo Geem, Ram Sarkar

“…The obtained results in terms of some standard metrics show that the proposed method performs better than state-of-the-art methods. The codes for the proposed work are available at https://github.com/SuryaMajumder/MENet.…”
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Parent Feedback on the Reducing Emotional Distress for Childhood Hypoglycemia in Parents (REDCHiP) Intervention: A Qualitative Analysis by Nicole A. Kahhan, MaryJane S. Campbell, Mark A. Clements, Kimberly A. Driscoll, Amy I. Milkes, Holly K. O’Donnell, Susana R. Patton

“…Also, two secondary process codes were identified: Appreciate REDCHiP Content and Challenges in Applying REDCHiP Strategies. …”
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University-Industry Collaboration in Dairy and Poultry Sectors of Andhra Pradesh: Status of Stakeholders’ Participation by Mahesh P, SUBRAHMANYESWARI Bodapati, Amol Patil

“…Data were collected from 60 university researchers and 40 industry personnel using semi-structured interviews, coded, and analysed for percentage and frequency. …”
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Urban fabric decoded: High-precision building material identification via deep learning and remote sensing by Kun Sun, Qiaoxuan Li, Qiance Liu, Jinchao Song, Menglin Dai, Xingjian Qian, Srinivasa Raghavendra Bhuvan Gummidi, Bailang Yu, Felix Creutzig, Gang Liu

“…These findings are pivotal for informing sustainable urban planning, revising building codes to lower carbon emissions, and optimizing retrofitting efforts to meet contemporary standards for energy efficiency and emission reductions.…”
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Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies by Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum, Riasat Khan

“…Various approaches, such as color coding, audio scripts, mind maps, flashcards, etc., are implemented to adapt the content effectively for the detected categories of learners. …”
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3D Micro-Expression Recognition Based on Adaptive Dynamic Vision by Weiyi Kong, Zhisheng You, Xuebin Lv

“…Firstly, a basic model is pre-trained with accurate tag data, and then an efficient facial motion encoder is used to embed facial coding unit tags. …”
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Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples by Eda Yilmaz, Hacer Yalim Keles

“…We introduce Adversarial Sparse Teacher (AST), a robust defense method against distillation-based model stealing attacks. Our approach trains a teacher model using adversarial examples to produce sparse logit responses and increase the entropy of the output distribution. …”
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Auto regressive neural network-driven reliability optimization in base-isolated building design by John Thedy, Kuo-Wei Liao, Taeyong Kim

“…The supporting source codes of proposed ARNN are available at https://github.com/johnthedy/Auto-Regressive-Neural-Network.…”
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Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study by Adrian Edwards, Ridhi Agarwal, Janine Bates, Alison Bray, Sarah Milosevic, Emma Thomas-Jones, Michael Drinnan, Marcus Drake, Peter Michell, Bethan Pell, Haroon Ahmed, Natalie Joseph-Williams, Kerenza Hood, Yemisi Takwoingi, Chris Harding

“…On detailed assessment of feasibility, we concluded that identifying index cases (men presenting with LUTS) may be susceptible to poor coding of presentations in primary care (e.g. when presenting with sometimes vague symptoms). …”
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Psychosocial impact of the COVID-19 pandemic on children with chronic health conditions in Germany: a qualitative interview study by Florian Hammerle, Michael S Urschitz, Sophie Lukes, Tim Schäfer, Elena Dessauer, Christiane Diefenbach, Tobias Boll

“…To ensure classification reliability within all 11 interviews, 1 specifically trained rater (who did not participate in the interviewing to separate data collection and analysis) coded all transcripts.Participants 11 LG of children with CHC participating in the ikidS (ich komme in die Schule) study.Results The three aspects that were mentioned most often in the interviews were a psychological impact on children, a psychological impact on LG and an impact on the daily routines of LG. …”
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The expository phase of debriefing in clinical simulation: a qualitative study by Giulio Fenzi, Carolina Alemán-Jiménez, Pedro Simón Cayuela-Fuentes, Gabriel Segura-López, Cesar Leal-Costa, José Luis Díaz-Agea

“…Responses were transcribed, independently coded, and analyzed using MaxQDA® v18. Data were coded and analyzed based on absolute and relative frequencies of emerging categories. …”
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Exploring the feasibility and effectiveness of a naturalistic family centered intervention to enhance early interactions in toddlers with Down syndrome by Ana Mendoza-García, Andrés Aparicio, Paulina Sofía Arango, Marcela Tenorio

“…Sessions were conducted over 10 weeks by trained psychologists. Parent-infant interaction was assessed using the MACI coding system, which measures aspects such as sensitive responsiveness, directivity and the level of reciprocity between the parent and the child. …”
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Large language models for depression recognition in spoken language integrating psychological knowledge by Yupei Li, Shuaijie Shao, Manuel Milling, Manuel Milling, Björn W. Schuller, Björn W. Schuller, Björn W. Schuller, Björn W. Schuller

“…We extract the audio features using the pre-trained model Wav2Vec, and map them to text-based LLMs for further processing. …”
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Seismic phase recognition model with low SNR based on U-net by Jianxian Cai, Zhongjie Sun, Mengying Zhang, Fenfen Yan, Li Wang, Ling Li

“…The seismic data of Stanford University are used to train and test the designed UBAN phase recognition model. …”
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piRNA in Machine-Learning-Based Diagnostics of Colorectal Cancer by Sienna Li, Valentina L. Kouznetsova, Santosh Kesari, Igor F. Tsigelny

“…With the smallest non-coding RNAs—piwi-RNAs (piRNAs)—and their transcripts, we sought to identify if these piRNAs could be used as biomarkers for colorectal cancer (CRC). …”
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Data Synchronization Design of Driver Display Unit Based on MVB and Ethernet Redundant Communication by RAO Tiangui, WANG Yu, ZHANG Yi

“…This design method is effectively compatible with the MVB data exchange method, and ensures the consistency of MVB data processing and Ethernet data processing by using function overload, and effectively prevents data analysis errors; the pulse is processed in a unified way, and the multi type pulse transmission only needs simple configuration without coding, which improves the development efficiency; the perfect synchronization method effectively ensures the correctness of data synchronization. …”
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Causes of under-five mortality using verbal autopsies in urban slum areas in Bangladesh: a cross-sectional analysis of surveillance data by Md Arif Billah, Mohammad Zahirul Islam, Razib Chowdhury, Sohana Shafique, Bidhan Krishna Sarker, M. Munirul Alam Bhuiyan, Sayed Saidul Alam, Minjoon Kim, Md Ziaul Matin, Margub Aref Jahangir, Jannatul Ferdous, Maya Vandenent, Md. Abdur Razzaqul Alam, Syed Manzoor Ahmed Hanifi, Abdur Razzaque, Anisur Rahman

“…The causes of deaths were identified by using the WHO-standardized verbal autopsy (VA) questionnaire that was reviewed and coded by a trained physician. Later, the cause-specific fractions of the deaths were evaluated by the child’s age, sex, the mother’s education, occupation, household wealth quintile, slum locations, mode and place of delivery, and antenatal and postnatal care. # Results A total of 155 deaths of children under-5 years were interviewed during October 2020–2021. …”
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SwinSegFormer: Advancing Aerial Image Semantic Segmentation for Flood Detection by Muhammad Tariq Shaheen, Hafsa Iqbal, Numan Khurshid, Haleema Sadia, Nasir Saeed

“…The effectiveness of model is further evaluated on real-world unlabeled flood imagery, highlighting its potential for supporting first aid activities during floods. Relevant codes are available at: <uri>https://github.com/Shaheen1998/SwinSegFormer</uri>.…”
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Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study by Yuan-Hsin Chen, Ching-Hsuan Lin, Chiao-Hsin Fan, An Jim Long, Jeremiah Scholl, Yen-Pin Kao, Usman Iqbal, Yu-Chuan Jack Li

“…We developed an adapted Association Outlier Pattern (AOP) ML model to identify uncommon procedure-diagnosis combinations, specifically targeting discrepancies in laterality. The model was trained on data from 2017 to 2019 and tested on 2020 orthopedic procedures, using ICD-10-PCS (International Classification of Diseases, Tenth Revision, Procedure Coding System) codes to distinguish body part and laterality. …”
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Uptake of routine viral load testing among people living with HIV and its implementation challenges in Yangon region of Myanmar: a mixed-methods study by Pruthu Thekkur, Khine Khine Thinn, Nang Thu Thu Kyaw, Nyein Su Aye, Tin Maung Zaw, Pyae Soan, San Hone, Htun Nyunt Oo

“…The VL testing uptake needs to be improved by strengthening sample collection and transportation, adopting point-of-care VL tests, increasing trained workforce, providing compensation to patients for wage loss and travel costs for additional visits.…”
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