Predicting child mortality determinants in Uttar Pradesh using Machine Learning: Insights from the National Family and Health Survey (2019–21) by Pinky Pandey, Sacheendra Shukla, Niraj Kumar Singh, Mukesh Kumar

“…Results: Notable regional disparities in under-five mortality were observed across Uttar Pradesh. Predictive accuracies ranged from 76 % to 79.4 %, with the logistic regression model achieving the highest accuracy (79.4 %). …”
Get full text

Pressure-driven polymeric membrane performance prediction, new membrane dimensionless number, and considerations for effective membrane design, selection, testing, and operation by Alexander R. Anim-Mensah, Alexander R. Anim-Mensah

“…It also considers membrane swelling (Ls) and compaction (Lc) with the associated Poisson ratio (γ), providing a comprehensive framework for predicting membrane performance. A key feature is the dimensionless parameter β, defined as ln (Ls/Lc), which describes different operational regimes (β < 1, β = 1, β > 1). …”
Get full text

Predictive abilities of acculturation for differences in self-rated health among international medical students from Medical University – Sofia by Joana Simeonova, Angelika Velkova, Lidia Georgieva, Peshka Pesheva, Kristina Popova, Nikolai Hristov, Elia Georgieva, Maria Pravchanska

Get full text

Genomic characterization and molecular predictive biomarkers for chemotherapy in patients with metastatic triple-negative breast cancer treated in a real-world setting by Erik Olsson, Henrik Lindman, Evangelos Digkas, Viktoria Thurfjell, Haidar Mir Ali, Ute Krüger, Anna-Karin Wennstig, Marie Sundqvist, Antonios Valachis

“…Purpose: We aimed to characterize genomic alterations with potential prognostic or predictive significance in patients with metastatic triple-negative breast cancer (mTNBC) treated with chemotherapy in a real-world setting. …”
Get full text

DRAF-Net: Dual-Branch Residual-Guided Multi-View Attention Fusion Network for Station-Level Numerical Weather Prediction Correction by Kaixin Chen, Jiaxin Chen, Mengqiu Xu, Ming Wu, Chuang Zhang

Subjects: “…numerical weather prediction correction…”
Get full text

Dynamic Prediction Model of Multisource Gas Emissions in a Fully Mechanized Top Coal Caving Based on the Coal Particle Size Distribution by Han Gao, Xuanping Gong, Xiaoyu Cheng, Rui Yu

“…The error between the results of the multisource dynamic prediction model and the field measurement is small, which is of practical application significance.…”
Get full text

Usefulness of the Brief Scale for Psychiatric Problems in Orthopaedic Patients (BS-POP) for Predicting Poor Outcomes in Patients Undergoing Lumbar Decompression Surgery by Kazuyuki Watanabe, Koji Otani, Takuya Nikaido, Kinshi Kato, Hiroshi Kobayashi, Junichi Handa, Shoji Yabuki, Shin-Ichi Kikuchi, Shin-Ichi Konno

“…These results suggest that BS-POP is a useful tool for predicting surgical outcomes in patients with LSS.…”
Get full text

Anti-TROVE2 Antibody Determined by Immune-Related Array May Serve as a Predictive Marker for Adalimumab Immunogenicity and Effectiveness in RA by Po-Ku Chen, Joung-Liang Lan, Yi-Ming Chen, Hsin-Hua Chen, Shih-Hsin Chang, Chia-Min Chung, Nurul H. Rutt, Ti-Myen Tan, Raja Nurashirin Raja Mamat, Nur Diana Anuar, Jonathan M. Blackburn, Der-Yuan Chen

“…With a treat-to-target goal, we aimed to identify biomarkers for predicting ADAb development and therapeutic response in adalimumab-treated patients. …”
Get full text

Does Preoperative Weight Change Predict Postoperative Weight Loss after Laparoscopic Roux-en-Y Gastric Bypass in the Short Term? by Dan Eisenberg, Andrew J. Duffy, Robert L. Bell

“…The percent change in BMI preoperatively did not predict postoperative BMI change after 1 year (𝑃=n.s.). …”
Get full text

Prediction of miRNA-circRNA Associations Based on k-NN Multi-Label with Random Walk Restart on a Heterogeneous Network by Zengqiang Fang, Xiujuan Lei

“…Therefore efficient computation methods are needed to explore miRNA-circRNA interactions, but only very few computational methods for predicting the associations between miRNAs and circRNAs exist. …”
Get full text

A Pilot Trial of Pioglitazone HCl and Tretinoin in ALS: Cerebrospinal Fluid Biomarkers to Monitor Drug Efficacy and Predict Rate of Disease Progression by Todd D. Levine, Robert Bowser, Nicole C. Hank, Stephen Gately, Dietrich Stephan, David S. Saperstein, Kendall Van Keuren-Jensen

Get full text

Cerebrospinal Fluid Biomarkers and Prediction of Conversion in Patients with Mild Cognitive Impairment: 4-Year Follow-Up in a Routine Clinical Setting by Alessia Lanari, Lucilla Parnetti

“…Early diagnosis of dementia and, specifically, a correct prediction of MCI outcome represent a primary goal. …”
Get full text

A new strong ground motion model for predicting Peak Ground Acceleration (PGA), pseudo-acceleration spectra and displacement spectra in Iran by A.R. Hajipour, H. Moghaddam

Subjects: Get full text

Resting-state BOLD temporal variability of the default mode network predicts spontaneous mind wandering, which is negatively associated with mindfulness skills by Sara Sorella, Cristiano Crescentini, Alessio Matiz, Alessio Matiz, Minah Chang, Alessandro Grecucci, Alessandro Grecucci

“…Our results show that temporal variability of the resting-state DMN predicts spontaneous MW, which in turn is negatively associated with the acting with awareness facet of mindfulness. …”
Get full text

Presence of a High Amount of Stroma and Downregulation of SMAD4 Predict for Worse Survival for Stage I–II Colon Cancer Patients by Wilma E. Mesker, Gerrit-Jan Liefers, Jan M. C. Junggeburt, Gabi W. van Pelt, Paola Alberici, Peter J. K. Kuppen, Noel F. Miranda, Karin A. M. van Leeuwen, Hans Morreau, Karoly Szuhai, Rob A. E. M. Tollenaar, Hans J. Tanke

Get full text

A comparison of disseminated intravascular coagulation scoring systems and their performance to predict mortality in sepsis patients: A systematic review and meta-analysis. by Girum Tesfaye Kiya, Gemeda Abebe, Zeleke Mekonnen, Edosa Tadasa, Gedion Milkias, Elsah Tegene Asefa

“…<h4>Conclusion</h4>The SIC and JAAM-DIC scores exhibited higher sensitivity to identify patients with coagulopathy and predict patient outcomes, and thus are valuable to identify patients for possible treatment at an early stage. …”
Get full text

Neuro-Fuzzy Model for the Prediction and Classification of the Fused Zone Levels of Imperfections in Ti6Al4V Alloy Butt Weld by Giuseppe Casalino, Sabina Luisa Campanelli, Fabrizio Memola Capece Minutolo

“…A neuro-fuzzy model for the prediction and classification of the defects in the fused zone was built up using the experimental data. …”
Get full text

A Prediction Method Based on Monte Carlo Simulations for Finite Element Analysis of Soil Medium considering Spatial Variability in Soil Parameters by Kedong Tang, Jialiang Wang, Lielie Li

“…The proposed method introduces a distance space to the Monte Carlo Method (MCM) random field instances and, considering the importance of a safety margin in structures, uses selected spatial interpolation to predict the MCM instances to be solved. Two case study simulations are presented. …”
Get full text

Predicting Crown-width of Dominant Trees on Teak Plantation from Clonal Seed Orchards in Ngawi Forest Management Unit, East Java by Ronggo Sadono

“…Gompertz model was the best model to predict the average crown width development of dominant teak tree and expressed as: CW = 6.585 Xe-0.705xe-0.091xage and able to explain 79% variation of data. …”
Get full text

Usefulness of Multidetector Row Computed Tomography for Predicting Cardiac Events in Asymptomatic Chronic Kidney Disease Patients at the Initiation of Renal Replacement Therapy by Jung Eun Lee, Yong Kyu Lee, Eun Jeong Choi, Ji Sun Nam, Byoung Wook Choi, Beom Seok Kim

“…Moreover, both high CACS and CAS on MDCT might predict cardiac events in these patients and MDCT can be a useful screening tool for evaluating coronary artery disease and predicting cardiovascular mortality noninvasively.…”
Get full text