Nomogram Predicting 90-Day Readmission in Patients with Diabetes: A Prospective Study by Dong Z, Xie W, Yang L, Zhang Y, Li J

“…Predictors in the final nomogram were previous admissions within 1 year of the index admission, self-care scores, anxiety scores, physical activity, and complicating with lower extremity vasculopathy. The AUC values of the predictive model and the validation set were 0.905 (95% CI=0.874– 0.936) and 0.882 (95% CI=0.816– 0.947). …”
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Time Series Prediction of COD_Mn in Dianchi Lake Based on Data Decomposition and NARX Optimization by WANG Yongshun, CUI Dongwen

“…Comparative analyses are made with WPT-particle swarm optimization (PSO) - NARX, WPT-genetic algorithm (GA) - NARX, WPT-NARX, SHIO-NARX, WPT-SHIO extreme learning machine (ELM), and WPT-SHIO-BP neural network models. …”
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Expression study of Wnt/β-catenin signaling pathway associated lncRNAs in schizophrenia by Fatemeh Manafzadeh, Behzad Baradaran, Seyed Gholamreza Noor Azar, Kamran Javidi Aghdam, Reza Dabbaghipour, Asghar Shayannia, Soudeh Ghafouri-Fard

“…The mechanism and etiology of schizophrenia are extremely complex and multiple signaling pathways recruit genes implicated in the etiology of this disease. …”
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DVCW-YOLO for Printed Circuit Board Surface Defect Detection by Pei Shi, Yuyang Zhang, Yunqin Cao, Jiadong Sun, Deji Chen, Liang Kuang

“…This adjustment addresses issues related to low generalization and poor detection performance for small objects or complex backgrounds, while also mitigating the impact of low-quality or extreme samples on model accuracy. Experimental results demonstrate that the DVCW-YOLO model achieves a mean average precision (mAP) of 99.3% and a detection speed of 43.3 frames per second (FPS), which represent improvements of 4% and 4.08%, respectively, over the YOLOv8n model. …”
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Substrate system outperforms water-culture systems for hydroponic strawberry production by George Kerrigan Hutchinson, Lan Xuan Nguyen, Zilfina Rubio Ames, Krishna Nemali, Rhuanito Soranz Ferrarezi

“…In recent years, due to increasing costs of production and occurrence of extreme weather events, the use of controlled environment agriculture (CEA) and hydroponics for strawberry production has become popular in several Asian, European, and American countries. …”
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The Result of Timely Therapy for Whipple's Disease: a Clinical Case by S. N. Mekhtiev, O. A. Mekhtieva, E. Yu. Kalinina, V. E. Karev, A. V. Vanyan, O. M. Berko

“…The incidence of Whipple's disease is extremely low and amounts to 1 case per 1,000,000–10,000,000 people. …”
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Reliability of the Cutting Alignment Scoring Tool (CAST) to Assess Trunk and Limb Alignment During a 45-Degree Side-Step Cut by Lauren S Butler, Eryn K Milian, Amie DeVerna, Kevin Latz, Henry B Ellis, Alexa R Martinez, Kristin Hayden, Christian Gerstenkorn, Sara C Carpenito, Charles W Wyatt, Dai Sugimoto

“…Numerous qualitative scoring systems have been introduced to assess trunk and lower extremity biomechanics during functional tasks. However, the reliability of qualitative scoring systems to evaluate cutting movements is understudied. …”
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Analysis of significantly associated regions and candidate genes for dwarf stem trait in Brassica napus based on BSA-sequencing by ZHAO Weiguo, TA Na, WANG Hao, YANG Zelin

“…Meanwhile, two mixed DNA pools, one from extremely tall and the other from dwarf stem lines, constructed from F2 segregated population of dwarf stem DW1 and tall stem WH20 hybrid combination, were sequenced and analyzed base on BSA-seq technology, and the significant association regions and candidate genes associated with dwarf trait were identified. …”
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Radiology Department: A Potential Source of Multidrug-Resistant Microorganisms: A Cross-Sectional Study at Tertiary Hospital, Palestine by Zena Odeh, Safaa Abatli, Mohammad Qadi

“…Aside from the morbidity and mortality they cause, these illnesses are also extremely costly. Research on infection transmission in the medical field has been considerable, but not so much in the radiology department. …”
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Turning Noise Into Data: Characterization of the Van Allen Radiation Belt Using SDO Spikes Data by Spiridon Kasapis, Barbara J. Thompson, Juan V. Rodriguez, Raphael Attie, Gonzalo Cucho‐Padin, Daniel daSilva, Meng Jin, William D. Pesnell

“…Since commissioning, images acquired by Atmospheric Imaging Assembly (AIA) instrument on‐board the SDO have frequently displayed “spikes,” pixel regions yielding extreme number of digital counts. These are theorized to occur from energetic electron collisions with the instrument detector system. …”
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High-density lipoprotein cholesterol as a prognostic marker for 90-day transplant-free mortality in hepatitis B virus-related acute-on-chronic liver failure by Ke Shi, Yi Zhang, Yanqiu Li, Xiaojing Wang, Ying Feng, Xianbo Wang

“…In the training cohort, the 90-day TF mortality rates were 8.3%, 15.2%, 24.0%, and 43.2% for the extremely low, low, medium, and high-risk subgroups, respectively, while in the validation cohort, they were 4.5%, 18.5%, 31.2%, and 44.7%, respectively.ConclusionsHDL-C levels < 0.13 mmol/L were associated with increased 90-day transplant-free mortality in patients with HBV-ACLF. …”
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Psychological stress among university students in wartime: A longitudinal study by U. B. Mykhaylyshyn, A. V. Stadnik, Yu. B. Melnyk, J. Vveinhardt, M. S. Oliveira, I. S. Pypenko

“… Background and Aim of Study: War has an extremely negative effect on people’s psyches. This is especially true for student youth. …”
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Zinc Monotherapy as an Alternative Treatment Option for Decompensated Liver Disease due to Wilson Disease? by Hansa Haftu, Mohammed Mustefa, Teklu Gebrehiwot

“…The patient had also clinically stabilized (ascites, lower extremity swelling, edema, and jaundice were improved. …”
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Predicting breast cancer recurrence using deep learning by Deepa Kumari, Mutyala Venkata Sai Subhash Naidu, Subhrakanta Panda, Jabez Christopher

“…Utilizing the Wisconsin Diagnostic Breast Cancer and Wisconsin Prognostic Breast Cancer datasets, the framework integrates multiple deep learning architectures- Multi layer Perceptron (MLP), Visual Geometry Group (VGG), Residual Network (ResNet), and Extreme Inception (Xception)-with traditional machine learning models such as Support Vector Machine (SVM), Decision Trees (DT), Random Forest (RF), and Logistic Regression (LR). …”
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The Effects of Noxious Electrical Stimulation and Eccentric Exercise on Mechanical and Thermal Pain Sensitivity in Recreational Runners with Achilles Tendinopathy by Scott K. Stackhouse, Brian J. Eckenrode, Kathleen C. Madara

“… # Methods Sixteen participants with chronic Achilles tendinopathy completed the Lower Extremity Functional Scale (LEFS) and the Victorian Institute of Sport Assessment-Achilles scale (VISA-A) and quantitative sensory tests (pressure pain threshold, heat temporal summation, and heat pain threshold) at baseline, one week, seven weeks, and then at a one month post intervention follow-up. …”
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Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn

“…Python software was used to process the data, and machine learning techniques such as Random Forest, Decision Tree, Logistic Regression, Extreme Gradient Boosting, and Gaussian were applied. …”
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Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal by Erica Shrestha, Suyog Poudyal, Anup Ghimire, Shrena Maharjan, Manoj Lamichhane, Sushant Mehan

“…We assessed the performance of six widely used empirical models (Hargreaves Samani, modified Hargreaves Samani, Romanenko, Schendel, Priestley-Taylor, and Makkink) and four ML models (random forest, extreme gradient boosting, deep neural network, and long short-term memory) to estimate ET0 with limited climatic variables in Nepal. …”
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A modified droplet vitrification method for cryopreservation of shoot tips from <i>in vitro</i> potato plants by T. A. Gavrilenko, N. A. Shvachko, N. N. Volkova, Yu. V. Ukhatova

“…Collections of common potato maintained in the field genebanks suffer significant losses due to the impact of extreme environmental factors, diseases and pests. …”
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Cost-effectiveness of watchful waiting versus immediate emergency department transfer after epinephrine autoinjector use in Canada by Yiwei Yin, Moshe Ben Shoshan, Marcus Shaker, Matthew Greenhawt, Kate M. Johnson

“…Watchful waiting remained cost-effective in all sensitivity and scenario analyses, except under extreme increases in fatality risk of 500-fold and 1,000-fold. …”
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Best practice mechanisms for biodiversity conservation law and policy by Callum Brockett, Katie Woolaston, Felicity Deane, Fran Humphries, Ethan Kumar, Amanda Kennedy, Justine Bell-James

“…Laws for the conservation of biodiversity form a critical component for minimising the drivers of extinction, with species extinction being an extreme outcome of biodiversity loss. We reviewed 128 publications from around the world to ascertain and synthesise best practices in law and policy that aim to protect and conserve biodiversity (herein termed ‘biodiversity conservation law’). …”
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