Determinants of Future Intentions in a Virtual Career: The Role of Brand Variables by Daniel Martínez-Cevallos, Ferran Calabuig, Daniel Duclos-Bastías, Josep Crespo-Hervás, Mario Alguacil

“…A structured questionnaire based on previously validated scales was applied to a sample of participants of the Medellín Virtual Marathon. …”
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Digital twin-enabled post-disaster damage and recovery monitoring with deep learning: leveraging transfer learning, attention mechanisms, and explainable AI by Umut Lagap, Saman Ghaffarian

“…The dataset used consists of 1,303 labeled samples, distributed across three classes: ‘not damaged’, ‘recovered’, and ‘not recovered’. …”
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Are fluent letter dyads really fluent? An update on objective and subjective motor fluency in an Italian student population by Mara Stockner, Giuliana Mazzoni, Francesco Ianì

“…Abstract “Motor fluency” refers to the ease with which an action can be performed and several studies have shown how it can modulate various cognitive processes, such as memory and decision making. To investigate these implications of motor fluency, typing-based paradigms have been proven to be useful. …”
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Unlocking Excellence: The Impact of Parental Involvement on Quality Education in Addis Ababa's Private Schools by Dr. Easaw Alemayehu Assefa

“…Research limitations/implications: While the study provides important insights, it acknowledges limitations related to the sample size and the specific context of private schools in Addis Ababa. …”
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Optimizing Random Forest Parameters with Hyperparameter Tuning for Classifying School-Age KIP Eligibility in West Java by Silfiana Lis Setyowati, Asyifah Qalbi, Rafika Aristawidya, Bagus Sartono, Aulia Rizki Firdawanti

“…Random Forest is an ensemble learning algorithm that combines multiple decision trees to generate a more stable and accurate classification model. …”
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Construction of the preoperative staging prediction model for cervical cancer based on deep learning and MRI: a retrospective study by Xuhao Dai, Xiaoxian Ye, Jiangping Ren, Jiming Yang, Yingying Zhou, Zhaoyang Ma, Pengrong Lou

“…HRNet, in particular, demonstrates strong potential as a clinical decision-support tool, contributing to the advancement of precision medicine and personalized treatment strategies for cervical cancer.…”
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The role of restrictive abortion laws on modern contraceptive use in Sub Saharan Africa. by Maxwell Tii Kumbeni, Marit L Bovbjerg, S Marie Harvey, Chunhuei Chi, Jeff Luck

“…Liberalizing abortion laws and implementing policies that support women's autonomy in contraceptive decision-making could enhance contraceptive use among women in SSA.…”
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Data assetization and capital market information efficiency: evidence from Hidden Champion SMEs in China by Lili Chen

“…They contain extensive information about enterprises’ operational status and future development prospects, providing significant references for external investors’ decision-making and greatly impacting the information efficiency in capital market. …”
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DEVELOPMENT AND EVALUATION OF CONSUMER PROPERTIES OF HYPOALLERGENIC MEAT PASTES by Lyakh V.A., Fedyanina L.N., Smertina E.S.

“…A general organoleptic evaluation of investigated samples has been done. A positive dynamics of changes in taste, texture and appearance of paste was noted when a plant component and BAA were introduced into a compound. …”
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Deep Learning Algorithm for Keratoconus Detection from Tomographic Maps and Corneal Biomechanics: A Diagnostic Study by Wiyada Quanchareonsap, Ngamjit Kasetsuwan, Usanee Reinprayoon, Yonrawee Piyacomn, Thitima Wungcharoen, Monthira Jermjutitham

“…Methods A total of 1,668 tomographic (769 patients) and 611 biomechanical (307 patients) images from the Chula Refractive Surgery Center, King Chulalongkorn Memorial Hospital were included. The sample size was divided into the Pentacam and combined Pentacam-Corvis groups. …”
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Application of machine learning algorithm to predict the behavior of stocks marketed in Brazil by Gabriel Donadio Costa, Rogério João Lunkes

“…In order to assist investors in the decision-making process, artificial intelligence tools aim at finding patterns hidden in data and providing useful, timely and accurate information. …”
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MODELING THE PROFITABILITY OF TELECOMMUNICATION SUB-SECTOR STOCKS USING PANEL DATA REGRESSION ANALYSIS by Ni Putu Nanik Hendayanti, Maulida Nurhidayati

“…The panel data regression analysis mixes cross-section data and time series data in which the same cross-section unit is sampled at various times. Therefore, investors must be aware of the profitability of the subsector of the telecommunications industry to make an investment decision. …”
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Transformation of Z-Generation in the context of globalization and place marketing: the case of Hungarian students by Urbánné Treutz Ágnes

“…The main characteristics of generation Z in the article are determined emotional lability, decision making, rejection and relative resilience in stressful situations, constant search for self-identification, multitasking, communication difficulties and, reducing attention spans and ongoing online presence on social media. …”
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Stable Inverse Reinforcement Learning via Leveraged Guided Motion Planner for Driving Behavior Prediction by Minglu Zhao, Masamichi Shimosaka

“…Experiments conducted in a driving simulator demonstrate that the proposed method outperforms existing IRL methods in stability and accuracy, enhancing the prediction of driving behaviors and showcasing the potential of IRL for achieving human-like decision-making in autonomous driving.…”
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Model interpretability on private-safe oriented student dropout prediction. by Helai Liu, Mao Mao, Xia Li, Jia Gao

“…We believe our approach represents a novel end-to-end framework of artificial intelligence application in the field of sustainable education management from the view of decision-makers, as it addresses privacy leakage protection and enhances model credibility for practical management implementations.…”
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Managing Records as A Strategic Resource. A Case Study of Rubabo People's Sacco Nyarushanje Sub-County Rukungiri District. by Agaba, Adolf

“…The study was about managing records as a strategic resource a case study of Rubabo Peoples Sacco. The study used a sample size of 55 respondents and data collection methods, questionnaires and interviews. …”
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Impact of Corruption on the Development of the Catholic Church in Kabale Diocese. by Kyampeire, Anitah

“…A descriptive research design was used and data collection tools were interviews and questionnaires the study used a sample of 44 respondents from Kabale catholic diocese. …”
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Imbalanced feature generation based on bootstrap power spectral curve for estimating respiratory rate by Soojeong Lee, Gyanendra Prasad Joshi, Gangseong Lee

“…However, machine learning algorithm-related errors are unsuitable for medical decision-making processes because some data have a much larger sample size in the training set than in other sets. …”
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Rapid identification of the authenticity of iron rod yam by in-situ mass spectrometry based on random forest algorithm by ZHONG Hengyan, CHEN Chun, OUYANG Yongzhong, ZHOU Lin, GUO Weiqing

“…Pattern recognition analysis established a model to differentiate between TG and FTG based on their chemical compositions.ResultsThe difference between the first-level mass spectra obtained by HS-APCI-MS was obvious between TG samples and FTG samples. The cumulative variance contribution plot of the principal components showed that the first seven principal components accounted for 85.63% (≥85%) of the variance. …”
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Rectifying Adversarial Examples Using Their Vulnerabilities by Fumiya Morimoto, Ryuto Morita, Satoshi Ono

“…Most existing methods primarily focus on discriminating AEs based on the input sample features, emphasizing AE detection without addressing the correct sample categorization before an attack. …”
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