Strut and radio-morphometric analysis of mandibular trabecular structure in pre-and post-menopausal women to aid in the diagnosis of osteoporosis by Ragavendiran Anandan, Krithika C.L, Anuradha Ganesan, Yesoda Aniyan K.

“…Future research incorporating artificial intelligence can revolutionize image analysis and support clinical decision-making.…”
Get full text

Predicting depressive symptoms through social support: a machine learning approach in military populations by Kun-Huang Chen, Pao-Lung Chiu, Ming-Hsuan Chen

“…Five ML classifiers, Random Forest, Decision Tree, Support Vector Machine (SVM), AdaBoost, and k-Nearest Neighbors, were applied to predict depressive symptoms, with model performance evaluated across full and subgroup samples.Results: The Random Forest model achieved the highest area under the precision-recall curve (AUPRC) at 96.3% and consistently outperformed other classifiers across a range of evaluation metrics. …”
Get full text

Seismic Vulnerability Assessment of School Buildings in Seismic Zone 4 of Pakistan by Muhammad Zain, Muhammad Usman, Syed Hassan Farooq, Tahir Mehmood

“…The developed relationships can be employed for rational decision making so that essential disaster preparedness can be carried out by identifying any need for structural strengthening and interventions.…”
Get full text

Interest and Utility of MC1R Testing for Melanoma Risk in Dermatology Patients with a History of Nonmelanoma Skin Cancer by Jennifer L. Hay, Erica H. Lee, Stephanie N. Christian, Elizabeth Schofield, Jada G. Hamilton, Ciyu Yang, Bobak Hedayati, Keimya Sadeghi, Mark E. Robson, Allan Halpern, Liying Zhang, Irene Orlow

“…Testing interest and uptake were assessed through registration of test decision, request of a saliva test kit, and kit return (all yes/no). …”
Get full text

Quantitative Prediction of Low-Permeability Sandstone Grain Size Based on Conventional Logging Data by Deep Neural Network-Based BP Algorithm by Hongjun Fan, Xiaoqing Zhao, Zongjun Wang, Zheqing Zhang, Ao Chang

“…This method takes into account the nonlinear mapping relationship between the logging data and the fitting of small sample data and provides a systematic way of thinking for the logging curve to predict the grain size of low-permeability sandstone.…”
Get full text

Students’ Mathematical Problem Solving Ability With Introduction, Connection, Application, Reflection, and Extension Models by Andi Susanto, Sabli Mayana, Fitria Mardika

“…The population is class IX students of SMP Negeri 5 Padang; a sample of class IX.7 as an experimental class is 31 people, and class IX.3 is a control class with 32 people.The t-test was used to analyze the data. …”
Get full text

A novel approach to multi-objective portfolio selection: modeling emerging financial markets using satisfaction functions and fuzzy values by Milad Saleki, Mohamad Saber Falah Nejad, Davood Shishebori, Mohammad Aref Dehghani Tafti

“…For this purpose, the present research proposes an appropriate approach using ideal and anti-ideal values, ideal values, as well as maximum deviations of each objective, considering the sample in the examined market, fuzzy goals, interval fuzzy values for each asset, and their combination with satisfaction functions, fuzzy ideal planning, and weighting objectives using expert decision-makers' opinions, as well as the development of fuzzy basic weighting method. …”
Get full text

Lung Surfactant Deficiency in Severe Respiratory Failure: A Potential Biomarker for Clinical Assessment by Peter Schousboe, Bülent Uslu, Amalie Schousboe, Lars Nebrich, Lothar Wiese, Henrik Verder, Nikolaos Scoutaris, Povl Verder, Henning Bay Nielsen

“…A surfactant biomarker would assist clinical decision-making when dealing with patients in severe respiratory failure where exogenous surfactant therapy may be considered. …”
Get full text

IFNet: An Interactive Frequency Convolutional Neural Network for Enhancing Motor Imagery Decoding From EEG by Jiaheng Wang, Lin Yao, Yueming Wang

“…Moreover, by conducting sensitivity analysis on decision windows, we show IFNet attains the best trade-off between decoding speed and accuracy. …”
Get full text

Key gene screening and diagnostic model establishment for acute type a aortic dissection by Yue Pan, Zhiming Yu, Xiaoyu Qian, Xuesong Zhang, Qun Xue, Weizhang Xiao

“…External dataset validation and PCR testing of clinical samples (n = 9) were conducted to confirm gene expression differences. …”
Get full text

The effect of discount messages on impulse buying and self-control: investigating arousal through brain’s emotion signals by Sina Taghizadeh, Rosa Hendijani, Hashem Aghazadeh, Mohsen Nazari

“…Data were analyzed using mediation analysis (PROCESS Model 4) with bootstrapping (5,000 samples). Results: The findings indicate that arousal did not significantly mediate the relationship between self-control and impulse buying. …”
Get full text

FINNISH MODEL OF BRIEF PARENT-INFANT PSYCHOTHERAPY ON MATERNAL MENTAL HEALTH AND PSYCHOSOCIAL FUNCTIONING - A PILOT STUDY by EINO PARTANEN, ANNA SALONEN, MARJO FLYKT, VEERA MALKKI, TOM H. ROSENSTRÖM, SUOMA E. SAARNI

“…Further studies with larger sample size and comparison groups are warranted to support evidence-based decision making in the planning of perinatal mental health services.…”
Get full text

A hybrid ultra-short-term photovoltaic power prediction framework integrating ant colony optimization for clustering with Bi-GRU by Xinyi Liu, Zitao Wang, Yang Wang, Shanke Liu, Lijun Yu

“…This hybrid framework employs an improved Ant Colony Optimization algorithm fused with K-Means pre-clustering (K-MACO) to perform unsupervised learning on samples within the physical feature space of radiation patterns, humidity, and temperature dynamics, classifying weather scenarios into sunny, cloudy, and rainy types. …”
Get full text

The Prediction of Outcomes in Patients Admitted with Traumatic Brain Injury Using the Rotterdam Score by Bikram Shakya, Bidur KC

“…Its strong discriminative ability supports its clinical utility for early risk assessment, aiding decision-making and resource allocation. Further multi-center studies with larger sample sizes are recommended to validate these findings and refine predictive models for traumatic brain injury outcomes…”
Get full text

The diagnostic role of FNA based on clinicopathological features in thyroid malignancy by Mohammad Mehdi Fallahi, Sepehr Koulaian, Parviz Mardani, Seyed Ali Malekhosseini, Reza Shahriarirad

“…Histopathological evaluation of specimens obtained during surgery showed that 184 (59.4%) samples were malignant and 126 (40.6%) were non-malignant. …”
Get full text

Predictive model using systemic inflammation markers to assess neoadjuvant chemotherapy efficacy in breast cancer by Yulu Sun, Yinan Guan, Hao Yu, Yin Zhang, Jinqiu Tao, Weijie Zhang, Yongzhong Yao

“…The RF model provides a simple and cost-effective tool for pCR prediction, offering strong support for clinical decision-making in breast cancer treatment and aiding in the optimization of individualized treatment strategies.…”
Get full text

Enhancing Structured Pathology Report Generation With Foundation Model and Modular Design by Kyung A Kim, Sungman Hong, Sehwan Yoo, Yousun Kang, Hyo Sup Shim

“…Despite this, it is crucial for clinical decision-making. An AI-driven report generation system can assist in producing accurate and concise reports. …”
Get full text

Construction and significance of a breast cancer prognostic model based on cuproptosis-related genotyping and lncRNAs by Lu Sun, Xinxu Chen, Fei Li, Shengchun Liu

“…Methods: Consensus clustering analysis categorized TCGA-BRCA samples into 3 clusters, followed by survival and immune analyses of the 3 clusters. …”
Get full text

MRM-based LC-MS method for accurate C-peptide quantitation by Will Grothoff, Ivan Khodakivskyi, Aleks Shin, Randie Little, Shawn Connolly, Kuanysh Kabytaev

“…C-peptide measurements can provide estimates of insulin secretory capacity, aiding in clinical decision-making and differentiation between diabetes types. …”
Get full text

Development and validation of a multimodal model integrating gut microbiota and metabolite for identifying sarcopenia in patients with MASLD: a study from two centers in China by Sizhe Wan, Mingkai Li, Wanjun Li, Yuexiang Ren, Yuankai Wu, Qingtian Luo, Wei Gong

“…Methods We performed shotgun metagenomic sequencing and untargeted liquid chromatography-mass spectrometry (LC-MS) metabolomic profiling of fecal samples from the discovery cohort (70 patients without sarcopenia, 30 with sarcopenia). …”
Get full text