Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…The proposed method demonstrated superior performance across all evaluation metrics compared to previous methods. …”
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Empirical evidence for a process-based model of health-related quality of life using network analysis by Nicolette Stogios, Nicolette Stogios, Troy Francis, Troy Francis, Rachel G. Peiris, Aleksandra Stanimirovic, Aleksandra Stanimirovic, Valeria Rac, Valeria Rac, Robert P. Nolan, Robert P. Nolan

“…While contemporary assessments are structured to evaluate an individual's HRQL state, we propose a complementary process-based model, which is defined as an appraisal that evolves over time as it reflects and informs a self-regulatory process of adapting to dynamic changes in bio-psycho-social life domains. …”
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Privacy-Aware Detection for Large Language Models Using a Hybrid BiLSTM-HMM Approach by Maryam Abbasalizadeh, Sashank Narain

“…Additionally, the generated model trained on patterns derived from synthetic data, achieved <inline-formula> <tex-math notation="LaTeX">$\approx 99.99$ </tex-math></inline-formula>% accuracy when evaluated on a real-world dataset across varying sentence structures, demonstrating strong generalizability in detecting sensitive information regardless of the data source. …”
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A preliminary investigation into self-compassion and compassion-based intervention for mental health in the performing arts by Courtney C. Walton, James N. Kirby, Sabrina McKenzie, Sabrina McKenzie, Caroline X. Gao, Caroline X. Gao, Rosemary Purcell, Rosemary Purcell, Simon M. Rice, Simon M. Rice, Margaret S. Osborne, Margaret S. Osborne

“…In Study 1, a cross-sectional online survey of performing artists explored patterns of association between self-compassion and mental health. …”
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Anterior Endocrowns as An Alternative to Core Crown restorations: A Systematic Review by Hisham A. Mously, Ghada H. Naguib, Ahmed O. Abougazia, Afaf A. Almabadi, Osama A. Qutub, Mohamed T. Hamed

“…Overall, the studies included provided sufficient information for most evaluation criteria of the QUIN risk of bias assessment tool. …”
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Characterizing healthcare resource utilization in two rare diseases (Kleefstra syndrome and SLC6A1 epileptic encephalopathy) using multimodal real-world data by Caitlin A. Nichols, Ella Nysetvold, Mike Jackson, Ainslie Tisdale, Christine M. Cutillo, Shannon Rego, Ashley N. Cogell, Nelson D. Pace, Kristina Cotter

“…Abstract Background The cumulative economic burden of rare diseases surpasses that of common conditions, yet patterns of healthcare resource utilization (HRU) across rare diseases remain poorly characterized. …”
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Prevalence and association between eating disorders, depression, and obesity among Palestinian adolescent refugees by Basma Damiri, Ahmad Hanani

“…Data, including waist circumference (WC) and body mass index (BMI), were collected through structured interviews and anthropometric measurements. …”
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Wearable sensors for measuring spontaneous upper limb use in children with unilateral cerebral palsy and typical development by Elena Beani, Mattia Franchi de ’Cavalieri, Silvia Filogna, Veronica Barzacchi, Matteo Cianchetti, Martina Maselli, Giada Martini, Valentina Menici, Giuseppe Prencipe, Elisa Sicola, Giovanni Cioni, Giuseppina Sgandurra

“…Through wearable sensor data analysis, we demonstrate a linear correlation between asymmetry measured during smi-structured assessments and daily life. Additionally, we provide evidence of distinct patterns of UpLs usage between typically developing children and children with UCP in daily life. …”
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Medical Device Failure Predictions Through AI-Driven Analysis of Multimodal Maintenance Records by Noorul Husna Abd Rahman, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Ayman Khallel Al-Ani, D. Jerline Sheebha Anni, Prabu Mohandas

“…Then, four machine learning algorithms and three deep learning networks are evaluated to determine the best predictive model. Based on the performance evaluation, the Ensemble Classifier is further optimized and demonstrates improved accuracy of 88.80&#x0025;, specificity of 94.41&#x0025;, recall of 88.82&#x0025;, precision of 88.46&#x0025;, and F1 Score of 88.84&#x0025;. …”
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Comparative the effect of bisphenol A and bisphenol S on the development and spectral sensitivity of cone photoreceptors in zebrafish larvae (Danio rerio) by Liguo Qiu, Peng Yu, Qiang Li, Cuiping Wen, Haiyang Wang, Dongying Zhao, Tianyu Zhang, Chenghui Wang, Lixia Liu, Dongxue Li, Shiyong Wen, Yinghui Sun

“…Similar to the BPA exposure group, BPS (1, 10, and 100 μg/L) exposure resulted in structural damage and mosaic arrays disorder of red and UV cone photoreceptors. …”
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Complementary detection strategies for circulating tumor cells in breast cancer: clinical implications of combining immunofluorescence and cytopathological staining by Tanja Jesenko, Tanja Jesenko, Cvetka Grasic Kuhar, Cvetka Grasic Kuhar, Ziva Pisljar, Ziva Pisljar, Simona Miceska, Simona Miceska, Veronika Kloboves-Prevodnik, Veronika Kloboves-Prevodnik, Veronika Kloboves-Prevodnik, Maja Cemazar, Maja Cemazar, Maja Cemazar

“…The IF staining supported the identity of CTCs detected on Giemsa-stained slides by employing a three-color antibody panel-based approach and allowed detailed phenotypic discrimination and structural analysis of CTCs, including the identification of a distinctive CK polarization pattern suggestive of a transitional state during intravasation.ConclusionGiemsa and IF may thus be complementary rather than mutually exclusive and relying on a single detection approach could underestimate the true CTC burden. …”
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Science of science by S. Fortunato, C. T. Bergstrom, K. Börner, J. A. Evans, D. Helbing, S. Milojević, A. M. Petersen, F. Radicchi, R. Sinatra, B. Uzzi, A. Vespignani, L. Waltman, D. Wang, A.-L. Barabási

“…Those willing to break this pattern engage in riskier careers but become more likely to make major breakthroughs. …”
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Predicting Excavation-Induced Tunnel Response by Process-Based Modelling by Linlong Mu, Jianhong Lin, Zhenhao Shi, Xingyu Kang

“…The ANN module is trained to learn and recognize the patterns of the complex interactions between excavation deformations, its geometries and support structures, and soil properties. …”
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The arrow of time in Parkinson’s disease by Fatemeh Sadeghi, Elvira del Agua Banyeres, Alessandra Pizzuti, Abdullah Okar, Kai Grimm, Christian Gerloff, Morten L. Kringelbach, Rainer Goebel, Simone Zittel, Gustavo Deco

“…Moreover, whole-brain generative computational models consisting of 1051 Hopf oscillators were constructed to evaluate effective connectivities and alterations of the functional hierarchical organization. …”
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Epidemiological insights into canine rabies in Chennai: Trends, forecasting and One Health implications by Viswanathan Naveenkumar, Mangalanathan Vijaya Bharathi, Porteen Kannan, B.S. Pradeep Nag, Sureshkannan Sundaram, Nithya Quintoil Mohanadasse, Raghavendra G. Amachawadi, Muskan Dubey, Charley A. Cull, Chandan Shivamallu, Shiva Prasad Kollur, Ravindra P. Veeranna

“…This study provides epidemiological insights into canine rabies in Chennai, analyzing nine years of surveillance data (n = 428, March 2010 – February 2019) to assess trends, seasonality and predictive patterns. Change point and time series analyses were conducted and forecasting models were evaluated using Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE) and Mean Absolute Scaled Error (MASE) metrics. …”
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Quantification of Subsurface Hydrological Connectivity Using Wavelet Coherence Analysis by REN Ruijie, Fan Bihang, ZHANG Yaling, WANG Erqing, YANG Ruxin, HAN Xiaole, LIU Jintao, GUO Li

“…While quantitative methods for subsurface structural connectivity have been developed, characterizing subsurface process connectivity remains a major challenge in hillslope hydrology research. …”
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Identification of galectin-9 and its antibacterial function in Yellow River carp (Cyprinus carpio haematopterus) by Li Wang, Li Wang, Li Wang, Yuanyuan Hu, Xudong Li, Ziyan Zhang, Nan Wang, Limin Chao, Chengfei Li, Pei Gao, Jinyou Ma, Jinyou Ma, Lei Wang, Xiaojing Xia, Xiaojing Xia

“…IntroductionGalectin-9 is a β-galactoside-binding lectin that functions as a critical pattern recognition receptor (PRR) in the host immune system, initiating immune defense responses by recognizing and binding to pathogen-associated molecular patterns (PAMPs) on the surface of microorganisms. …”
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Nutritional Status and Health Challenges Among Schoolchildren in Nepal’s Solukhumbu Valley by María Teresa Murillo-Llorente, Noemí Gil-Cuñat, Sara Moltó-Dominguez, Javier Pérez-Murillo, Manuel Tejeda-Adell, Miriam Martínez-Peris, Francisco Tomás-Aguirre, María Ester Legidos-García, Marcelino Pérez-Bermejo

“…Fifty-four children (51.8% boys; mean age 9.4 ± 2.1 years) were evaluated using anthropometry, clinical examination, hemoglobin measurement, and three-day 24 h dietary recall. …”
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Analysis of Mechanical and Thermal Material Characteristics of GPL-Reinforced Double-FG Composite Nanoplates under Temperature Load by Kerim Gökhan Aktaş

“…The double-FG properties of the structure are provided by the functional dispersion of the ceramic-metal matrix as well as the effective arrangement of the GPLs in two distinct patterns throughout the plate's thickness (Type-X and Type-U). …”
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Analysis of global stock market development-Integration of clustering, classification, and shapley values. by Marcin Stawarz

“…The study's findings show that integrating clustering, classification, and Shapley Values is a robust approach for uncovering complex structures within financial markets. This approach provides deeper insights for market participants and policymakers into the growth patterns and strategic positioning of stock exchanges, offering valuable implications for future market development and competition strategies.…”
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