Predicting mortality in critically ill patients with hypertension using machine learning and deep learning models by Ziyang Zhang, Jiancheng Ye

“…Traditional prognostic tools often fall short in capturing the complex interactions between clinical variables in this high-risk population. Recent advances in machine learning (ML) and deep learning (DL) offer the potential for developing more sophisticated and accurate predictive models.ObjectiveThis study aims to evaluate the performance of various ML and DL models in predicting mortality among critically ill patients with hypertension, with a particular focus on identifying key clinical predictors and assessing the comparative effectiveness of these models.MethodsWe conducted a retrospective analysis of 30,096 critically ill patients with hypertension admitted to the ICU. …”
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Exploring machine learning algorithms to predict short birth intervals and identify its determinants among reproductive-age women in East Africa by Tirualem Zeleke Yehuala, Bezawit Melak Fente, Sisay Maru Wubante

“…The dataset undergoes preprocessing steps to handle missing values, encode categorical variables, perform feature selection, and integrate data and normalize numerical features. …”
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Accuracy of artificial intelligence-based segmentation in maxillofacial structures: a systematic review by Manea Alahmari, Maram Alahmari, Abdulmajeed Almuaddi, Hossam Abdelmagyd, Kumuda Rao, Zaid Hamdoon, Mohammed Alsaegh, Nallan C. S. K. Chaitanya, Shishir Shetty

“…Other metrics, such as sensitivity and precision, were variably reported, with sensitivity exceeding 90% across studies. …”
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Environmental Evaluation of Chemical Plastic Waste Recycling: A Life Cycle Assessment Approach by Giuliana Vinci, Laura Gobbi, Daniela Porcaro, Sara Pinzi, Miguel Carmona-Cabello, Marco Ruggeri

“…Due to the high environmental burden of plastics, this study aimed to evaluate the environmental performance of chemical recycling of plastic waste through Life Cycle Assessment (LCA), focusing on pyrolysis oil production as the primary output. …”
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Assessment of groundwater quality for agricultural purposes in Qazvin Province, northwestern Iran: A fuzzy inference and indicator Kriging approach by Mohammad Javad Masoudi, Afshin Ashrafzadeh, Mohammadreza Khaledian, Somaye Janatrostami

“…Traditional assessment methods often overlook uncertainties and spatial variability in groundwater quality. To address this, our study aimed to integrate fuzzy inference and geostatistical methods to assess groundwater quality under uncertain conditions. …”
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Association of Bioavailable 25(OH)D Levels With Endometriosis in Infertile Bangladeshi Women: A Cross‐Sectional Study by Ratna Paul, Mst Sabrina Moonajilin, Hridhima karmakar, Himel Pal, Swatilekha Paul, Sujit Kumar Sarker, Labina Taher

“…ABSTRACT Background and Aims Infertility is a significant public health issue worldwide, and endometriosis is a major contributor to infertility, impacting 6%–10% of reproductive‐aged women. …”
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Type-2 Neutrosophic Markov Chain Model for Subject-Independent Sign Language Recognition: A New Uncertainty–Aware Soft Sensor Paradigm by Muslem Al-Saidi, Áron Ballagi, Oday Ali Hassen, Saad M. Saad

“…This is particularly crucial in SLR due to the variability in sign language gestures and differences in individual signing styles. …”
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First Evidence of the Possible Influence of Avoiding Daily Liquid Intake from Plastic and Glass Beverage Bottles on Blood Pressure in Healthy Volunteers by Liesa Geppner, Sophie Grammatidis, Harald Wilfing, Maja Henjakovic

“…On the contrary, in men, systolic blood pressure values on both arms show no significant alterations, attributable to the high variability across the three participants. …”
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Characterization of biocomposite films made from carboxymethyl cellulose, okra mucilage, and black cumin seed (Nigella sativa) oil by Response Surface Methodology by Fariba Shekar, Afshin Javadi, Sodeif Azadmard-Damirchi, hamed hamishehkar

“…Statistical analysis showed that all variables significantly contribute to the model (p < 0.05). …”
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Understanding shading through home-use experience, measurement and modelling by Magdalena Baborska-Narożny, Karol Bandurski, Magdalena Grudzińska

“…This study demonstrates why practitioners should aim to better understand and account for the variability of user actions involving the use of shading and window opening. …”
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Malnutrition among students with visual impairment studying in integrated public schools of Nepal by Bijay Khatri, Rajan Shrestha, Manita Pyakurel, Madan Prasad Upadhyay

“…Multivariate logistic regression was used to analyse variables linked to undernutrition. The mean age of participants was 11.86 ± 3.66 years, and the male-to-female ratio was nearly 2:1. …”
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Development and validation of a prediction model for chronic post-surgical pain risk: a single-center prospective study of video-assisted thoracoscopic lung cancer surgery by Xiong-Fei Zhang, Chang-Guo Peng, Hua-Jing Guo, Zhi-Ming Zhang

“…Objectives This study aimed to develop and validate a risk prediction model for CPSP in patients undergoing VATS for lung cancer. …”
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Towards decarbonizing large-scale industries: A decision support framework for optimizing grid-connected PV-battery energy systems planning – Case study of an OCP mining site, Moro... by Oumaima Mahir, Abdelilah Rochd, Aboubakr Benazzouz, Hicham Ghennioui

“…Through this analysis, the study assesses the impact of these variables on the calculated cost of energy. Experimental results revealed a range of LCOE values from $0.07111/kWh to $0.11847/kWh for high renewable energies integration.…”
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Aerodynamic optimization of small diffuser Augmented Wind Turbines: A differential evolution approach by Turan Dias Oliveira, Luzia Aparecida Tofaneli, Alex Álisson Bandeira Santos

“…A new expression for the correction of thrust coefficients for high values of axial induction factor is proposed, so that it is suitable for the evaluation of turbines with and without diffusers. …”
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Psychometric properties of the German version of the Traumatic Grief Inventory-Self Report Plus (TGI-SR+) by Julia Treml, Viktoria Schmidt, Elmar Braehler, Matthias Morfeld, Anette Kersting

“…A single instrument to screen for both PGD diagnoses is critical for bereavement research and care. The study aimed to evaluate the psychometric properties of the German version of the Traumatic Grief Inventory Self-Report Plus (TGI-SR+), a self-report measure to assess PGDICD-11 and PGDDSM-5-TR symptoms.Methods: Out of a representative sample of the German general population (N = 2509), 1062 reported a significant loss and completed questions about sociodemographic and loss-related variables, the TGI-SR+, and a measure of health-related quality of life.Results: Item analyses demonstrated good item characteristics. …”
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THE ROLE OF AGRICULTURAL EMPLOYEES IN THE OPERATION OF AGRICULTURAL TECHNOLOGIES TRANSFER TO FARMERS IN NINEVEH GOVERNORATE by AHMED ALTALB, Marwa A. S. AL-Zubaidi

“…The present research aims at identifying the role of agricultural employees in the operation of agricultural technologies transfer to farmers in Nineveh Governorate in general, and in each field of the research fields،which included (organization field, planning field، implementation field، follow-up field, evaluation field). …”
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Development of a three-dimensional scoring model for the assessment of continuous glucose monitoring data in type 1 diabetes by Markus Lundgren, Daniel Espes, Per-Ola Carlsson, Henrik Hill, José Caballero-Corbalan, Jeanie Dawnbringer, Lars Cederblad

“…Values for each dimension were normalized to a numeric score between 0–100. …”
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A TARGET database-driven nomogram for pediatric osteosarcoma prognosis by Jianfeng Li, Jiayi Li, Jianjun Wang, Bingquan Li

“…Results The final model included six variables: sex, race, tumor-specific side, tumor-specific region, site of first recurrence, and time of first recurrence. …”
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Association between non-high-density lipoprotein cholesterol-to-high-density lipoprotein cholesterol ratio and the risk of gestational diabetes: a retrospective study by Guohua Li, Dongxing Su, Wei Huang, Xuehua Wu, Yanzhu Huang

“…Despite adjusting for group differences using PSM, NHHR values remained significantly different between groups (p = 0.009). …”
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Developing soil quality indices to investigate degradation impacts of different land use types in Northern Ethiopia by Araya Kahsay, Mitiku Haile, Girmay Gebresamuel, Muktar Mohammed

“…In all cases, CL soils scored significantly lower SQI values than those of GL and SL. Moderate (III) and low (IV) quality grade soils have the largest spatial share in the area. …”
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