A general approach for predicting the behavior of the Supreme Court of the United States. by Daniel Martin Katz, Michael J Bommarito, Josh Blackman

“…Using only data available prior to decision, our model outperforms null (baseline) models at both the justice and case level under both parametric and non-parametric tests. …”
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Work, Retirement, and Life Satisfaction in a multinational company by Samantha de Toledo Martins Boehs, Marucia Patta Bardagi, Narbal Silva

“…Although 83% of the sample answered that retirement was voluntary, 64% said that if they could, they would go back to work. …”
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A Dynamic Measurement System Based on Adaptive Clustering and Multi-Classifier by Bowen Shi, Hongjian You, Huixian Wang

“…The paper presents a target feature responder based on K-means clustering, used for categorizing samples and training models. It employs a decision function to optimize the localization region across various classifier detection and tracking algorithms for targets. …”
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Determinant of financial literacy in laying hens farmers by Asnawi Aslina, Ridwan Muh., Tenrisanna Vidyahwaty, Wempie, Nirwana, Putri Budi Rahayu Tanama, Sugiarto Mochamad

“…The ability of farmers to manage their finances and make sound financial decisions is referred to as financial literacy. Financial literacy of laying hens farmers is still relatively low. …”
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The Moderating Role of CEO Characteristics in the Relationship between Financial Conditions and Corporate Debt Policy by Heriyanto Heriyanto, Novita Febriany, Mischella Engel

“… Purpose: This study investigates the influence of firm financial characteristics—reflecting asymmetric information—on corporate debt policy, while also examining the moderating role of CEO characteristics within the framework of upper echelon theory. Method: The sample consists of 60 non-financial firms listed on the Indonesia Stock Exchange (IDX) during 2013–2022, selected through purposive sampling. …”
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Nomogram construction for overall survival in breast angiosarcoma based on clinicopathological features: a population-based cohort study by Peikai Ding, Luxiao Zhang, Shengbin Pei, Zheng Qu, Xiangyi Kong, Zhongzhao Wang, Jing Wang, Yi Fang

“…The long-term utility is limited by heterogeneity and sample size, highlighting the need for external validation to confirm generalizability and clinical applicability.…”
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Politically connected independent board and firm performance by Onong Junus, Mohammad Nasih, Muslich Anshori, Iman Harymawan

“…This research examines the relationship between politically connected independent commissioners and independent directors on firm performance. The sample are all listed companies on the Indonesia Stock Exchange (IDX) from 2010–2017. …”
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Management Strategies in Basic Education and Participation of Parents by Johel Furguerle-Rangel, José Gregorio Pacheco-Barrio, Alba Hernández, Gilberto Bastidas-Pacheco

“…It is a descriptive, transversal and field study, whose instrument was a questionnaire of 26 closed-questions.   The sample comprised 16 directors, 52 teachers and 62 parents. …”
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Startup Success Factors: Classifying 3H (Hustler, Hipster, Hacker) Framework using Simple Additive Weighting by Qoriah Indah Susilowati, Fatih Başçiftçi

“…Based on testing conducted with 3 samples, the system managed to get 100% accuracy. …”
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Evaluation of Flavor Type of Tobacco Blending Module: A Prediction Model Based on Near-Infrared Spectrum by Lin Wang, Yuhan Guan, Yaohua Zhang

“…In this study, we selected near-infrared spectral data from 238 tobacco blending module samples collected between 2017 and 2019. Combining the power of XGBoost and deep learning, we constructed a flavor prediction model based on feature variables. …”
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Interpreting Covid-19 Tests and the Uncertainty by Bayesian Methodology by Tomáš Karel

“…It also highlights the benefits of using informative priors, which significantly reduce uncertainty in diagnostic parameters, lower false negative rates, and improve clinical decision-making. The results emphasize the need for precise interpretation of RAT results including uncertainty. …”
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Application of Artificial Neural Networks in Mineral Resource Evaluation by Saleh M. Al-Alawi, E.E. Tawo

“…The objective is to reduce investment costs on projects before decisions on further development of a mineralization are made. …”
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A tailored lectin microarray for rapid glycan profiling of therapeutic monoclonal antibodies by Shen Luo, Baolin Zhang

“…This capacity empowers informed decision-making in the development and production of therapeutic antibodies.…”
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Introspective access to value-based multi-attribute choice processes by Adam Morris, Ryan W. Carlson, Hedy Kober, M. J. Crockett

“…While we observe substantial variation in accuracy, participants are often highly accurate about their choice process – more accurate than predicted by a sample of decision scientists – and more accurate than informed third-party observers, suggesting evidence for introspection. …”
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Evaluating blockchain adoption barriers in China’s IP trade and protection internationally by Qiang Li, XiaoLong Wen, Zijing Wu

“…Future studies should expand sample sizes and explore alternative decision-making frameworks to improve generalizability.…”
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Comparison of subjective and objective speaker recognition under voice disguise conditions by Wojciech Majewski

“…In the subjective method the utterances were grouped in pairs and presented to the listeners whose task was to make a decision whether a given pair of speech samples was produced by one speaker or by two different speakers. …”
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ASGCL: Adaptive Sparse Mapping-based graph contrastive learning network for cancer drug response prediction. by Yunyun Dong, Yuanrong Zhang, Yuhua Qian, Yiming Zhao, Ziting Yang, Xiufang Feng

“…Experimental evaluations further illuminate ASGCL's proficiency in predicting drug responses, offering a potent tool for guiding clinical decision-making in cancer therapy.…”
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An Innovative Process Chain for Precision Agriculture Services by Christos Karydas, Miltiadis Iatrou, Spiros Mourelatos

“…Whenever big data are available per crop, decision-making is supported by machine learning systems (MLSs). …”
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“Not The Economy, Stupid?” – Exploring the Potential Causes of a Future Polexit Departure from the EU by Artur Kozłowski, Grzegorz Krzykowski, Grahame Fallon

“…This paper explores the economic and non-economic factors that could potentially lead to a Polish decision to remain within or leave the EU, following a future potential Polexit referendum. …”

Tools Aimed at Improving the Quality of Information Support of Management in Conditions of Digitalization by Yu. V. Zhurov

“…At the present stage of society development the notion of information for providing optimal managerial decision should be understood as the information received by processing such volumes of data, which cannot be processed directly by person. …”
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