Social prediction errors in assisting strangers: the role of outcomes and contexts by Yan Li, Zhiwei Liu

“…IntroductionHelping behavior is a fundamental aspect of social interaction, yet little is known about how accurately helpers can predict the emotional responses of help-seekers, particularly when interacting with strangers.MethodsThis study investigated social prediction errors in helping behavior between strangers and examined how outcomes and contexts influence these errors. …”
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Predicting Voluntary Auditor Change Using the Water Cycle Algorithm by Erfan Safdel, Hoda Eskandar, Hassan Yazdifar

“…Then, Excel and Matlab software were used for implementing methods and predicting auditor change. Thirteen financial and non-financial variables that were extracted from the literature were used to predict auditor change in this research. …”
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Peritoneal Laser Doppler Flowmetry in Predicting and Diagnosing Tertiary Peritonitis by D. S. Parshin, M. A. Topchiyev

“…A total of 768 scans were performed. Evaluation was carried out using the APACHE II scales , abdominal index and SOFA scale. …”
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ClusterEmbed: Efficient Protein Structure Prediction with Clustering and Embeddings by Mu Bowei

“…Protein structure prediction has been revolutionized by methods like AlphaFold2, which rely on large-scale multiple sequence alignments (MSAs) to achieve near-experimental accuracy. …”
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IL-36-related genes predict prognosis of gastric cancer by Ying Zhang, Yanbo Liu, Xin Guan, Meng Qu, Dianxiu Wu, Ning Liu, Zhengkun Lin, Yuqi Liu, Han Wang, Lijuan Yang

“…Hence, this study explored the potential role of IL-36 related genes (IL-36RGs) in GC and built a prognostic risk assessment model for GC based on IL-36RGs, which can help evaluate treatment and prognosis.MethodsFirst, relevant datasets were downloaded from public databases. …”
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Prediction of Students’ Performance Based on the Hybrid IDA-SVR Model by Huan Xu

“…Students’ performance is an important factor for the evaluation of teaching quality in colleges. The aim of this study is to propose a novel intelligent approach to predict students’ performance using support vector regression (SVR) optimized by an improved duel algorithm (IDA). …”
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Investigating of Machine Learning Based Algorithms for Liver Cirrhosis Prediction by Young Choi, Eunsung Oh

“…The novelty lies in the extensive experimentation and performance evaluations conducted, which reveal substantial improvements in prediction accuracy rates compared to existing methods. …”
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Sea State Parameter Prediction Based on Residual Cross-Attention by Lei Sun, Jun Wang, Zi-Hao Li, Zi-Lu Jiao, Yu-Xiang Ma

“…The combination of onboard estimation and data-driven methods is widely applied for sea state parameter prediction. …”
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Application of machine learning in predicting adolescent Internet behavioral addiction by Yao Gan, Li Kuang, Xiao-Ming Xu, Ming Ai, Jing-Lan He, Wo Wang, Su Hong, Jian mei Chen, Jun Cao, Qi Zhang

“…ObjectiveTo explore the risk factors affecting adolescents’ Internet addiction behavior and build a prediction model for adolescents’ Internet addiction behavior based on machine learning algorithms.MethodsA total of 4461 high school students in Chongqing were selected using stratified cluster sampling, and questionnaires were administered. …”
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Utilizing the Attention Mechanism for Accuracy Prediction in Quantized Neural Networks by Lu Wei, Zhong Ma, Chaojie Yang, Qin Yao, Wei Zheng

“…This method predicts a quantized model’s accuracy using a single representative image from the test set. …”
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Computational prediction of protein interactions in single cells by proximity sequencing. by Junjie Xia, Hoang Van Phan, Luke Vistain, Mengjie Chen, Aly A Khan, Savaş Tay

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Machine learning modeling for predicting adherence to physical activity guideline by Ju-Pil Choe, Seungbak Lee, Minsoo Kang

“…The decision tree using all variables emerged as the most effective method in the prediction for PA guidelines (accuracy = 0.705, F1 score = 0.819, and AUC = 0.542). …”
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Hyperbox Mixture Regression for process performance prediction in antibody production by Ali Nik-Khorasani, Thanh Tung Khuat, Bogdan Gabrys

“…This paper addresses the challenges of predicting bioprocess performance, particularly in monoclonal antibody (mAb) production, where conventional statistical methods often fall short due to time-series data’s complexity and high dimensionality. …”
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Graph neural network-based drug-drug interaction prediction by Khushnood Abbas, Chen Hao, Xu Yong, Mohammad Kamrul Hasan, Shayla Islam, Abdul Hadi Abd Rahman

“…Thus, the accurate prediction of DDIs is paramount. Building on recent advancements in graph neural network (GNN) architectures, this paper extends prior research, such as the SAGE GNN model, Graph Attention Network model, and Graph Diffusion Network model, by integrating advanced techniques such as skip connections, post-processing layers, and optimized training methods. …”
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Zero-Shot Prediction of Conversational Derailment With Large Language Models by Kenya Nonaka, Mitsuo Yoshida

“…To address this challenge, we focus on the zero-shot performance of large language models (LLMs), which have advanced rapidly in recent years. This study aims to evaluate the zero-shot prediction performance of conversational derailment using LLMs. …”
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Inferior Mesenteric Artery Associated Type II Endoleaks: Are They Predictable? by Harun Jalil, Syed Mahmood, Iftikhar Zaman, Asaad Osman, Syed Mustafa, Abdullah Saeed

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Spatiotemporal data modeling and prediction algorithms in intelligent management systems by Xin Cao, Chunxiao Mei, Zhiyong Song, Hao Li, Jingtao Chang, Zhihao Feng

“…In order to solve the problem of difficulty in learning semantic pattern representations between user dynamic interest sequences using path based and knowledge graph based entity embedding methods, the author proposes research on spatiotemporal data modeling and prediction algorithms in intelligent management systems. …”
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Empirical Bayes Prediction for an Attribute Control Chart in Quality Monitoring by Yadpirun Supharakonsakun

“…To calculate the control limits, the posterior distribution and the predictive density are derived for the unconditional predictive density of the run length. …”
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Prediction of success in assisted reproductive technology with the help of morphology of the testis by N. G. Kulchenko

“…The question of the chances of spermatogenesis recovery and increased probability of sperm extraction in repeated assisted reproductive technology (ART) programs is important for both the doctor and the patient.Purpose. To evaluate the morphological changes of spermatogenic epithelium in patients with male infertility in terms of prognosis of ART success.Patients and methods. 264 men with infertility were examined. …”
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Prediction of hepatitis-C virus using statistical learning models by Shalini Kumari, Subhajit Das, Prashant Kumar Sonker, Agni Saroj, Mukesh Kumar

“…The analytical methods have improved the overall predictive accuracy for HCV infection and will aid in the early identification of the disease. …”
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