Optimization Model for Machinery Selection of Multi-Crop Farms in Elsuki Agricultural Scheme by Mysara Ahmed Mohamed, Abdalla Noureldin Osman Kheiry, Abbas Elshiekh Rahama, Alameen Alwathig Alameen

“…Sensitivity analysis in terms of change in model input for each of cultivated area and total costs of operations showing that: Increasing the operation total cost by 10% decreased the total number of tractors after optimization by 23% and total cost of operations was also decreased by 23%. …”
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Characterization and Concentration Prediction of Dust Pollution in Open-Pit Coal Mines by Guilin Wang, Wei Zhou, Zhiming Wang, Xiang Lu, Yirong Zhang

“…In this paper, we conducted the real-time monitoring of dust concentration and meteorological parameter data in different areas of a large-scale open-pit coal mine in China and used multivariate statistical analysis to study the characteristics of the variation in dust concentration and its influencing factors in operating and non-operating areas. …”
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Optimal Configuration of ESS in Distribution Network Considering Generation of PV-Load Time Series Scenarios by Xiaolong Xiao, Mingming Shi, Fan Wu, Yukai Wei, Bo Zhao, Fang Zhang

“…The iterative self-organizing data analysis algorithm (ISODATA) is used to optimize clustering of the comprehensive evaluation index scenario to generate PV-Load typical scenarios. …”
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Clinical presentation, aetiological characteristics, risk factors and in-hospital outcome of nosocomial infection following acute aortic dissection surgery in adult patients by Jianwei Ren, Yu Xin, Jianye Zhang, Yan Liu, Yulei Liu, Guangfa Zhu

“…Methods During this study, 429 adult patients with AADS were divided into an infected group (n = 141) and a noninfected group (n = 288). Complete clinical data (including baseline clinical characteristics and laboratory results, surgery-related variables, and clinical outcomes) were collected for statistical analysis. …”
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Value Chain Modeling in Digital Strategic Management by I. M. Stepnov, Yu. A. Kovalchuk

“…Within the defned task for modeling it is technically possible to create the models which perform the operation-by-operation analysis of interaction in the value added chains. …”
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Influencing factors of postoperative urinary tract infection in benign prostatic hyperplasia patients complicated with non-alcoholic fatty liver disease by TIAN Mao, YE Chang

“…Logistic regression analysis was used to analyze the influencing factors of urinary tract infection. …”
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The value of urinary cysteine rich protein 61 in early diagnosis of contrast-induced nephropathy by XIE Juan, ZHANG Yi-yuan, XU Yong, LI Xiang, Bai Lin, ZHENG Dong-hui

“…Subgroup analysis was carried out respectively. The value of urine CYR61 in early diagnosis of CIN was evaluated by receiver operating curve（ROC）. …”
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Optimization Design of Indoor Substation Ventilation and Noise Reduction Based on Deep Reinforcement Learning by Jinhui TANG, Fayuan WU, Yanli ZHI, Mengting MAO, Xiaomin DAI

“…Firstly, the temperature field, fluid field and sound field of the indoor substations are modeled and simulated with the finite element analysis method. Then, based on a large number of simulation data, the convolutional neural network is used to establish the prediction model of temperature and noise. …”
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Numerical simulation method for double shield TBMs crossing weak zones by Zhiwen Wang, Meng Wei, Yang Liu, Yushi Liu, Xinyu Tan, Xin Tong

“…Abstract Deformation and collapse of the surrounding rock, leading to machine jamming, are critical factors hindering the safe and efficient operation of Double Shield Tunnel Boring Machines (DS TBMs). …”
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Investigating the Relationship Between Liquidity Risk, Credit Risk, and Solvency Risk in Banks Listed on the Iranian Capital Market: A Panel Vector Error Correction Model by Pejman Peykani, Mostafa Sargolzaei, Cristina Tanasescu, Seyed Ehsan Shojaie, Hamidreza Kamyabfar

“…This study addresses a critical gap in the literature by examining the dynamic interrelationships among these three types of risk in the context of emerging markets. Using data from 21 banks listed on the Iranian capital market from 2011 to 2023, we employ a Panel Vector Error Correction Model (VECM) alongside panel impulse response analysis to assess both short- and long-term dynamics. …”
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Development and validation of an explainable machine learning model for predicting postoperative pulmonary complications after lung cancer surgery: a machine learning studyResearch... by Shaolin Chen, Ting Deng, Qing Yang, Jin Li, Juanyan Shen, Xu Luo, Juan Tang, Xulian Zhang, Jordan Tovera Salvador, Junliang Ma

“…Further work should aim to identify high-risk patients early through clinical data analysis, enabling timely interventions and more efficient allocation of limited healthcare resources. …”
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LONG-TERM RESULTS OF THE VALVE-SAVING SURGERY IN MARFAN SYNDROME PATIENTS by D. S. Khvan, A. M. Chernyavskiy, D. A. Sirota, S. A. Alsov, M. M. Lyashenko

“…A single-center retrospective analysis was done, of the results of valve-saving operations on the aorta root. …”
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Spatio-temporal evolution of pulsating aurora observed using a ground-based imagers by Megha Pandya, Megha Pandya, Ankush Bhaskar, Marilia Samara, Robert Michell, Emma Mirizio, Emma Mirizio, Suk-Bin Kang, Suk-Bin Kang, Lauren W. Blum

“…(ii) The duration of persistence for each pulsation in the pulsating aurora is found to be ∼1 s (iii) The auroral pulsation frequency abruptly increases from ∼0.0625 Hz to ∼0.5 Hz, closely aligning with the broadening of the frequency band observed at the Dawson (DAWS) ground magnetometer location. Wavelet analysis of DAWS magnetic field data, recorded at similar magnetic local time (MLT) and L-values, reveals the presence of Pc-1 geomagnetic pulsation (Pc-1). …”
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Development and validation of a machine learning model for predicting intrapartum fever using pre-labor analgesia clinical indicators: a multicenter retrospective study by Bo Liu, Liang Ling, Fei Jia, Dayuan Wei, Huiru Li, Yuanling Li, Hongquan Xiao, Mengqiao Wang, Chunping Li, Gang Zhang, Jian Zhang

“…The least absolute shrinkage and selection operator method was used for feature selection. Six machine learning models were developed and subjected to comprehensive analysis to assess and validate their predictive capabilities, ultimately selecting the best-performing model. …”
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Elevating E-Service Standards in Bangladesh: Merging FAHP and TOPSIS for Strategic Online Business Solutions by Farzana Tasnim, Tanjim Mahmud, Shefayatuj Johara Chowdhury, Tasnia Fahrin Choity, Aisha Ahmed, Mohammad Saeed Hasan Chowdhury, Mohammad Shahadat Hossain, Karl Andersson

“…To ensure a data-driven analysis, the Random Forest algorithm is utilized for feature importance extraction, followed by pairwise comparisons through fuzzy triangular matrices. …”
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Minimally Invasive Surgical Techniques for Renal Cell Carcinoma with Intravenous Tumor Thrombus: A Systematic Review of Laparoscopic and Robotic-Assisted Approaches by Yiting Wu, Shuyang Feng, Ping Fu

“…Methods: A literature search across several databases identified 54 studies (42 case series, 12 cohort studies) for analysis. Perioperative outcomes, including operative time, blood loss, transfusion rates, length of stay, and complications, were compared based on IVTT levels. …”
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Can Pain-Related Fear Be Reduced? The Application of Cognitive-Behavioural Exposure in Vivo by Johan WS Vlaeyen, Jeroen R de Jong, Patrick Onghena, Maria Kerckhoffs-Hanssen, Ank MJ Kole-Snijders

“…Study 1 concerns a secondary analysis of data gathered in a clinical trial that was aimed at the examination of the supplementary value of coping skills training when added to an operant-behavioural treatment in patients with chronic back pain. …”
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The impact of in-situ urbanization on residents’ health: evidence from CFPS by Wei Wu, Wei Wu, Shuoxuan Zhang, Lei Zhao, Jiawei Gao

“…This study investigates the health effects of in-situ urbanization utilizing panel data from the China Family Panel Studies (CFPS) tracking surveys of 2010, 2012, and 2014. …”
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Using Functional Blocks for Rolling Stock Troubleshooting: Sequential Augmented Reality Assistant (SARA) by Sara Scheffer, Alberto Martinetti, Roy Damgrave, Leo van Dongen

“…Recognizing this, there is a pressing need for a structured solution that empowers maintenance operators with tools for effective organization, analysis, and real-time presentation of rolling stock system failures, facilitating streamlined troubleshooting and maintenance guidance. …”
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State-of-the-Art Detection and Diagnosis Methods for Rolling Bearing Defects: A Comprehensive Review by Bojun Sun, Zixin Sheng, Peng Song, Huilin Sun, Fei Wang, Xiaogang Sun, Junyan Liu

“…Rolling bearings are essential transmission and support components in aircraft engines, playing a critical role in ensuring their safe and stable operation. Rolling bearing faults have a significant impact and should not be ignored. …”
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