Evaluation on the Stability of Vertical Mine Shafts below Thick Loose Strata Based on the Comprehensive Weight Method and a Fuzzy Matter-Element Analysis Model by Wenquan Zhang, Zaiyong Wang, Jianli Shao, Xianxiang Zhu, Wei Li, Xintao Wu

“…In view of such a problem, the comprehensive weight method and the fuzzy matter-element analysis method were used to analyze and evaluate the stability of mine shafts below thick, loose aquifers. …”
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Brittleness evaluation of main coal seams in Permian Taiyuan-Shanxi formations, Baode block, Ordos Basin: based on a convolutional neural network method by Qingfeng ZHANG, Ziling LI, Jikun ZHANG, Shuai HAO, Xiaoguang SUN, Yanjie SHANG, Yun ZUO

“…Rock mechanical parameter method is commonly used to evaluate reservoir brittleness. …”
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Evaluating climatic variability's impact on milk yield across climate zones: A machine learning-based comparative study of Switzerland and Thailand by Boonyarat Phadermrod, Varunya Attasena

“…However, differences in datasets and modeling methods hinder direct comparisons. This study systematically compares conventional and modern machine learning models for milk yield prediction and evaluates the influence of climatic variability in Switzerland (moderate climate) and Thailand (tropical climate) using the same analytical framework.Five models—linear regression, ridge regression, gradient boosting regression, AdaBoost, and LightGBM—are tested with various feature sets, including Day-in-Milk, individual and combined meteorological variables, and three lagged milk yield values to assess their predictive value. …”
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A Bivariate Model for Correlated and Mixed Outcomes: A Case Study on the Simultaneous Prediction of Credit Risk and Profitability of Peer-to-Peer (P2P) Loans by Yan Wang, Xuelei Sherry Ni, Huan Ni, Sanad Biswas

“…Therefore, the proposed method can serve as an alternative for loan evaluation.…”
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A Brief Overview of Modeling Estimation of State of Health for an Electric Vehicle’s Li-Ion Batteries by Ehab H. E. Bayoumi, Michele De Santis, Hilmy Awad

“…This study addresses this gap by conducting a comprehensive evaluation of SOH prediction methods for Li-ion batteries in EV applications, encompassing direct measurement techniques, physics-based approaches, and data-driven methodologies. …”
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Combining transplant professional’s psychosocial donor evaluation and donor self-report measures to optimise the prediction of HRQoL after kidney donation: an observational prospec... by Andrea W Evers, Henriët van Middendorp, Lieke Wirken, Luuk B Hilbrands, Christina W Hooghof, Karlijn A M I van der Pant, Andries J Hoitsma, Jan-Stephan Sanders, Ruth Dam, Judith Wierdsma, Hiske Wellink, Philip Ulrichts

“…Furthermore, 230 kidney donors completed questionnaires (eg, on HRQoL) before and 6 and 12 months after donation.Primary and secondary outcome measures HRQoL, demographic and preoperative, intraoperative and postoperative health characteristics, perceived support, donor cognitions, recipient functioning and professionals risk estimation questionnaires.Results On top of other predictors, such as the transplant professionals’ risk assessments, donor self-report measures significantly predicted impaired longer term HRQoL after donation, particularly by poorer predonation physical (17%–28% explained variance) and psychological functioning (23%).Conclusions The current study endorses the effectiveness of the psychosocial donor evaluation by professionals and the additional value of donor self-report measures in optimising the psychosocial evaluation. …”
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Risk-Stratified Predictive Models of Pregnancy Loss by O. V. Shirai, B. I. Aslanov, S. V. Rishchuk, S. E. Melnikova

“…Statistical analysis was performed using R software (v4.3.1), incorporating: univariate and multivariate logistic regression, ROC curve analysis (AUC) for model performance evaluation.Results and discussion. Multivariate analysis identified statistically significant predictors of pregnancy loss, enabling development of two predictive mathematical models with strong discriminatory capacity. …”
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The predictive value of mean platelet volume to platelet count ratio combined with APACHEⅡs for short-term prognosis of patients with acute kidney injury treated by continuous rena... by TANG Ying-ying, NI Xun, Lv Jian-nong

“…Objective To investigate the predictive value of mean platelet volume(MPV)to platelet count(PLT)ratio(MPR)combined with acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)scoring for the short-term prognosis of patients with acute renal injury(AKI)treated with continuous renal replacement therapy(CRRT).Methods A total of 138 AKI patients who received CRRT in our hospital from January 2016 to October 2019 were retrospectively included.According to their survival conditions at discharge,they were divided into survival group(n=80)and death group(n=58).The value of MPR,APACHE Ⅱ score and their combination for predicting the death of AKI patients was analyzed by ROC curve.The independent risk factors for poor prognosis were evaluated by multivariate logistic regression analysis.Results(1)MPV,MPR and APACHE Ⅱ scores of patients in the death group were significantly higher than those in the survival group[(11.9±1.1)fl vs.(11.0±1.1)fl,P<0.01;0.11(0.09,0.14)vs.0.08(0.06,0.11),P<0.01;(25.0±3.5)score vs.(19.5±3.4)score,P<0.01].PLT count of patients in death group was significantly lower than that of survival group[(108.9±28.0)×10~9/L vs.(146.8±41.4)×10~9/L,P<0.01].(2)The cutoff values of MPR,APACHE Ⅱ score and the combination to predict the death of AKI patients were 0.08,24 points and 0.54,respectively.The AUC of death in AKI patients predicted by MPR combined with APACHE Ⅱ was significantly higher than that of MPR and APACHE Ⅱ alone[0.892(0.828-0.938)vs.0.737(0.656-0.809),P<0.01;0.892(0.828-0.938)vs.0.838(0.766-0.896),P<0.05].(3)APACHE Ⅱ score(≥24),MPR combined with APACHE Ⅱ score(APACHE Ⅱ score≥24,and MPR≥0.08),diuretics administration were the independent risk factors for poor prognosis in AKI patients[HR(95%CI):2.311(1.034-5.166),3.533(1.541-8.098),34.816(7.475-162.149),all P< 0.05].Conclusions MPR combined with APACHE Ⅱ score can well predict the short-term prognosis of AKI patients treated with CRRT.…”
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Predictive framework of vegetation resistance in channel flow by Fengcong Jia, Weijie Wang, Yu Han, Jiayu Du, Yue Zhang, Zihan Liu, Hairong Gao

“…Although numerous empirical models are available, they often fail to generalize across different environmental conditions, leading to inaccurate predictions. This study introduces a machine learning-based framework for predicting vegetation flow resistance, incorporating nine ML methods, including SVM, XGBoost, and BP. …”
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Socioeconomic factors predictive of access delays in oncology by Allen M. Chen

“…Abstract Purpose To identify demographic and socioeconomic factors predictive of access delays in patients referred for radiation oncology services. …”
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A Predictive Model of the HIV Infection Course by E. I. Veselova, G. D. Kaminskiy, K. A. Kocharyan, A. B. Peregudova, O. V. Lovacheva, A. G. Samoylova

“…The course of HIV infection depends on the degree of HIV suppression during ART.The objective: to evaluate feasibility of using three factors: viral load (VL), HIV reservoir and CD8 T cells before ART initiation to estimate future levels of “residual” viremia and develop a predictive model.Subjects and Methods. 74 naive patients with HIV infection were enrolled in the study. …”
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Clinical Predictive Factors of Response to Biologics in IBD by Roxana SADAGURSCHI, A. DOBROMIRESCU, Ruxandra BABIUC, Lucian NEGREANU

“…Aim: To present the currently available data regarding the clinical predictors of response not only to anti-TNFs, but also to VDZ and ustekinumab. Methods: A literature search was performed in PubMed to identify publications reporting on predictive factors of response to biologic therapy in patients with IBD, using pre-defined keywords. …”
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A Prospective Randomized Study to Predict Bowel Preparation Quality Prior to Colonoscopy: Comparison of Two Stool Collection Methods for the Objective Assessment of Final Rectal Ef... by Serdar Senol, Mustafa Kusak, Kevser Uzunoglu Yıldırım, Mustafa Gun, Mıne Gızem Bıdıl

“…<b>Conclusions</b>: Patient self-assessment was an unreliable indicator of bowel cleanliness, highlighting the need for objective, standardized pre-colonoscopy evaluation methods. The use of a disposable cardboard bedpan with a white bag to collect the final rectal effluent may improve the accuracy of predicting inadequate preparation and patient compliance and may allow timely adjustments to bowel cleansing prior to colonoscopy in routine endoscopy practice.…”
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Integrated approach to land degradation risk assessment in arid and semi-arid Ecosystems: Applying SVM and eDPSIR/ANP methods by Ehsan Moradi, Hassan Khosravi, Pouyan Dehghan Rahimabadi, Bahram Choubin, Zlatica Muchová

“…The LD hazard map was evaluated using five error statistics extracted from the contingency table. …”
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Predictive Validity and Reliability of Frenchay Activities Index by Li TONG, Shanjia CHEN, Guanli XIE, Cai JIANG, Jing TAO, Lidian CHEN

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Exploring the prognostic impact of triglyceride-glucose index in critically ill patients with first-ever stroke: insights from traditional methods and machine learning-based mortal... by Yang Chen, Zhenkun Yang, Yang Liu, Yuanjie Li, Ziyi Zhong, Garry McDowell, Coleen Ditchfield, Taipu Guo, Mingjuan Yang, Rui Zhang, Bi Huang, Ying Gue, Gregory Y. H. Lip

“…Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to evaluate the association between TyG and ICU/hospital all-cause mortality. …”
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Establishment and application of material balance equation for deep coalbed methane reservoirs based on coal formation stimulation background by Juntai SHI, Fengyin XU, Yunxing CAO, Xiangfang LI, Hongxing HUANG, Kai WANG, Ming CHEN, Shuo ZHANG, Yitianyu JI, Wei WANG, Zheng SUN, Jing LI

“…Then, a linear fitting method for evaluating the reserves of adsorbed gas, free gas, and dissolved gas, an explicit calculation method for average formation pressure, an evaluation method for the production proportion of adsorbed gas, free gas, and dissolved gas, a productivity evaluation method for deep coalbed methane wells, and an EUR prediction method were proposed. …”
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A comparative evaluation of geostatistical techniques of frequency ratio (FR), Shannon Entropy (SE), and analytical hierarchy (AHP) in landslide prediction: a case study of Uttarak... by Mohd. Alam, Afzal Nadeem Siddiqui, Syed Kausar Shamim, Ateeque Ahmad, Mohammed Faiz

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Variable selection strategies for genomic prediction of growth and carcass related traits in experimental Nellore cattle herds under different selection criteria by Lucio F. M. Mota, Leonardo M. Arikawa, Júlia P. S. Valente, Larissa F. S. Fonseca, Maria E. Z. Mercadante, Joslaine N. S. G. Cyrillo, Henrique N. Oliveira, Lucia G. Albuquerque

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Analysis of Wind Speed Extrapolation and Wind Power Density Assessment in Tetouan City by Houda El Khachine, Mohamed Hatim Ouahabi, Driss Taoukil

“…ABSTRACT This study explores vertical wind speed extrapolation methods to evaluate wind energy potential in Tetouan, Morocco. …”
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