Thromboelastography parameters in chronic viral liver disease and liver resection: a retrospective study by Ying Di, Jialu Li, Chunjuan Ye, Zheng Wang, Qianqian Zhu

“…TEG utility for haemostasis assessment and prediction of blood loss during liver resection should be further explored in high-quality studies.…”
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Modelling of Transient CO2/Water Flow in Wellbore considering Multiple Mass and Heat Transfer by Xinxin Zhao, Xiangzhen Yan, Xiaohui Sun, Qing Zhao, Hongwei Jiang, Yonghai Gao, Guang Yang

“…Through a comparison of CO2 and CH4 kicks, gas dissolution is found to significantly suppress the development process of CO2 kick. The error in kick prediction can reach 42% if the effect of gas dissolution is neglected. …”
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Data and Knowledge-Driven Bridge Digital Twin Modeling for Smart Operation and Maintenance by Zhe Sun, Bin Liang, Shengyao Liu, Zhansheng Liu

“…., defects and deformations), (3) analyzing structure deterioration patterns, (4) predicting structure failure risks, and (5) generating optimal maintenance and repair actions for ensuring structural safety. …”
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Static assessment of brittle/ductile notched materials: an engineering approach based on the Theory of Critical Distances by R. Louks, H. Askes, L. Susmel

“…Each data set was assessed and the prediction error was calculated. The failure predictions were on average 30% conservative, whilst the non-conservative predictions account for less than 10% of the tested data and less than 2% of the non-conservative error results exceed -20%. …”
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Gas Storage Model of Residual Coal Adsorption in Abandoned Mine by San Zhao, Xiangjun Chen, Lin Wang, Lin Li

“…The average relative errors between the predicted and measured values of method 1 and 2 were 2.98% and 7.13%, respectively. …”
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Groundwater Storage Estimation in the Saskatchewan River Basin Using GRACE/GRACE-FO Gravimetric Data and Machine Learning by Mohamed Hamdi, Anas El Alem, Kalifa Goita

“…This study aims to predicting the variations of groundwater storage (GWS) using GRACE/GRACE-FO and multi-source remote sensing data, combined with machine learning techniques. …”
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A Multi-Branch Anchor-Free Detection Algorithm for Hospital Pedestrian by Keqiang Li, Yifan Li, Yiyi Wang, Haining Yu, Huan Zhang

“…Lastly, a local feature selection network is proposed to adaptively suppress non-optimal values from the multi-branch outputs, eliminating redundant feature boxes during prediction. Experimental results demonstrate that the method achieved an AP of 89.2% on the CrowdHuman dataset, indicating high detection accuracy. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…This algorithm utilizes a graph network to represent the interaction information between genes, builds a GNN model, designs a loss function based on link prediction and self-supervised learning ideas for training, and allows each gene node to obtain a feature vector representing global information. …”
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The Audiological Profile and Rehabilitation of Patients with Incomplete Partition Type II and Large Vestibular Aqueducts by Beyza Demirtaş, Merve Özbal Batuk, Hilal Dinçer D’Alessandro, Gonca Sennaroğlu

“…The most widely used AR modality was found to be HA. Prediction of sudden versus progressive HL development among patients is challenging, and the characteristics of IP-II vary. …”
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Age Cutoff and Yield of Prompt Esophagogastroduodenoscopy to Detect Malignancy in Vietnamese with Upper Gastrointestinal Symptoms: An Endoscopic Database Review of 472,744 Patients... by Duc Trong Quach, Lan Thi-Ngoc Tran, Truc Le-Thanh Tran, Vy Ly-Thao Tran, Nhan Quang Le, Toru Hiyama

“…Different age cutoffs were evaluated in terms of their prediction of the absence of UGIM. The yield of endoscopy to detect one malignancy (YoE) was also calculated. …”
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Robust Control Design for the Higher Harmonic Vibration Reduction of a Nonlinear Aeroservoelastic Rotor by Byeonguk Im, Kunhyuk Kong, Wonjong Eun, Sangjoon Shin

“…We found that the proposed linear controller showed improved numerical phase-margin prediction accuracy compared with the T-matrix-based method. …”
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The influence of mutually beneficial and self-beneficial situations on the lying behavior and cognition of Chinese 4- to 5-year-old children by Dan Kang, Yingjie Zhang, Xiwu Xu, Jiajia Li

“…Experiment 2 revealed that, compared with self-beneficial situations, children in mutually beneficial situations were more likely to judge untrue statements as truth, to evaluate lying positively, and to predict that they would lie. Further, in mutually beneficial situations, children’s predicted and actual lying behaviors are significantly positively correlated.ConclusionThese findings support the folk model and highlight the influence of sociocultural factors on lying in Chinese 4- to 5-year-old children. …”
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Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

“…Overall, our results confirm the high applicability of ML to short-term air quality prediction with the perfect prog approach.…”
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Estimation of Salivary and Serum Lactate Dehydrogenase (LDH) Levels in Individuals with Oral Cancer, Oral Potentially Malignant Disorders, Tobacco Users, and Healthy Subjects – A P... by Mohithan Subramanian, Saramma Mathew Fenn, Gowda Venkatesha Ramachandra Reddy, Karthik Rajarammohan, Ravikumar Pethagounder Thangavelu

“…Early detection and accurate prediction of metastasis are critical in improving outcomes. …”
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Do MCHC, MPV, and Procalcitonin Levels Determine Prognosis in Acute Coronary Syndrome? by Serhat Karaman, Abuzer Coskun

“…High PCT, MCHC, and MPV levels in acute coronary syndrome may be beneficial predictive values in terms of complications that may develop, TVCAD, and mortality.…”
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FINANCIAL PERFORMANCE ANALYSIS OF THE COMPANY THROUGH PROFITABILITY RATIOS by Mihaela SUDACEVSCHI, Viorica Mirela ŞTEFAN-DUICU

“…Therefore, the continuity of a company's past profits should represent a prediction of future profits. Many external users, such as creditors, are interested in knowing the level of a company's solvency rather than its profitability. …”
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Development Favorable Area and Productivity Potential Evaluation Method of a Tight Oil Reservoir by Shuping Wang, Fengpeng Lai, Kongjie Wang, Zhiping Li, Hong Wang

“…Two types of methods evaluating areas favorable for tight oil and gas production are explained here as well, including model prediction and the combination of geological modeling and reservoir simulation. …”
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Marked point process variational autoencoder with applications to unsorted spiking activities. by Ryohei Shibue, Tomoharu Iwata

“…Our model achieves superior performance in prediction and decoding tasks for synthetic data and the spiking activities of place cells.…”
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Development of a Lightweight Model for Rice Plant Counting and Localization Using UAV-Captured RGB Imagery by Haoran Sun, Siqiao Tan, Zhengliang Luo, Yige Yin, Congyin Cao, Kun Zhou, Lei Zhu

“…Accurately obtaining both the number and the location of rice plants plays a critical role in agricultural applications, such as precision fertilization and yield prediction. With the rapid development of deep learning, numerous models for plant counting have been proposed. …”
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Relationship between Fractal Dimension of Fragmentation Degree and Energy Dissipation of Rock-Like Materials under Initial Stress by Ying Xu, Jinjin Ge, Hailong Li, Rongzhou Yang, Kun Wang, Shi Hu

“…The impact test results show that (1) the prediction value on the fragmentation degree of cemented sand specimens by using the fractal model is basically consistent with the screening results of actual test, which verifies the applicability of the fractal calculation model given in this study; (2) the more the fracture energy dissipated in the crushing process of cemented sand specimens, the more serious the fragmentation degree is, and accordingly the larger the fractal dimension is, that is, the fracture energy is positively correlated with the fractal dimension; (3) there is an exponential relationship between the fractal dimension and energy dissipation of cemented sand specimens under initial stress, which is so different from that under no initial stress. …”
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