Self-reported previous experiences with sharks and stingrays predict behavioral intentions of tolerance: differential effects of wild versus captive marine predators by Gabriella M. Hancock, Katie D. Dudley, Dede Long, Christopher G. Lowe

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On the impact of hidden modeling assumptions on living systems- predictive dynamics by Ivan Mura

“…This paper states that the usage of naïve modeling abstractions may result in predictive behaviors that are quite far from reality. …”
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A Fuzzy-XAI Framework for Customer Segmentation and Risk Detection: Integrating RFM, 2-Tuple Modeling, and Strategic Scoring by Gabriel Marín Díaz

“…A second XGBoost model was applied to predict this risk level, with SHAP used to explain its predictive behavior. Overall, the proposed framework integrated fuzzy logic, semantic representation, and explainable AI to support actionable, transparent, and human-centered customer analytics.…”
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Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM. by Sadia Nazim, Muhammad Mansoor Alam, Syed Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Suud

“…Explainability techniques such as SHAP, LIME, and Grad-CAM approaches are employed to present a complete comprehension of feature significance and local or global predictive behavior of the model over various malware categories. …”
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Linear B-cell epitope prediction for SARS and COVID-19 vaccine design: Integrating balanced ensemble learning models and resampling strategies by Fatih Gurcan

“…To interpret the model’s predictive behavior, peptides with the highest confidence among correctly classified instances were identified as potential epitope candidates. …”
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The emerging role of pathologists in the era of modern medicine. by Shovana Karki

“…Hence,  the pathologist now can be described a clinician whose responsibility is to interpret and integrate morphological as well as molecular information to provide answers to diagnostic, prognostic and predictive behavior of tumors in the “ epoch of next-generation sequencing”. …”
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Spatial-Spectral Linear Extrapolation for Cross-Scene Hyperspectral Image Classification by Lianlei Lin, Hanqing Zhao, Sheng Gao, Junkai Wang, Zongwei Zhang

“…Popular DG strategies constrain the model’s predictive behavior in synthetic space through deep, nonlinear source expansion, and an HSI generation model is usually adopted to enrich the diversity of training samples. …”
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General attachment and behavioral problem among Chinese adolescents: a serial multiple mediation model by Yuting Cao, Hao Zhang, Xiancai Cao, Xiancai Cao, Xiancai Cao, Dahua Wang

“…Moreover, attachment avoidance predicted behavioral problems through the control system, while attachment anxiety did so via the impulsive system.DiscussionThese findings highlight distinct pathways linking attachment dimensions to adolescent behavior, supporting both theoretical models.…”
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Machine learning to predict killer whale (Orcinus orca) behaviors using partially labeled vocalization data by Sophia Sandholm

“…This paper studies whether machine learning can predict behavior from vocalizations. Such prediction would help scientific research and have safety applications because one would like to predict behavior while only having to capture sound. …”
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Microstructure Effects of the Electrical Discharge Machining Drill on Aerospace Super Alloys by Garner Copher, Sandip Harimkar, Kurt Rouser, Connor McCain, Daniel Velasco, Tanner Price, Trey Schinzler

“…The results of the study found that the electrode wear while cutting Inconel showed some amount of predictable behavior. On the contrary, the titanium specimens did not indicate a predictable behavior and did not appear to follow an intuitive trend. …”
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Digital Transformation Strategy as a Tool for Implementing the Business Strategy of a Company in the Oil and Gas Sector of Modern Russia by E. A. Kuklina

“…The article provides a classification of the factors of increased risk of functioning of the up-stream business segment of the oil and gas industry (natural, predictive, behavioral). The results of the analysis of the implementation of innovative development programs by the leading Russian oil and gas companies in the upstream business segment are presented and the programs of their digital transformation are analyzed. …”
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Predictors of Fruits and Vegetable Consumption in Adolescent Girls Based on Social Cognitive Theory by Leila Zeinivanmoghadam, Mohsen Jalilian, Amin Mirzaei

“…However, only self-regulation predicted behavior significantly (p=0.001), and other structures did not predict behavior significantly. …”
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An auditory cortical-striatal circuit supports sound-triggered timing to predict future events. by Harini Suri, Karla Salgado-Puga, Yixuan Wang, Nayomie Allen, Kaitlynn Lane, Kyra Granroth, Alberto Olivei, Nathanial Nass, Gideon Rothschild

“…Collectively, our findings identify an auditory cortical-striatal circuit supporting sound-triggered timing-prediction behaviors.…”
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Study on individual differences in visual working memory tasks based on spatiotemporal brain functional metrics and biological perspectives by Ronglong Xiong, Qiuzhu Zhang, Junjun Zhang, Zhenlan Jin, Ling Li

“…First, multiple spatiotemporal brain function metrics were extracted, and Sequential Backward Selection (SBS) and Leave-One-Subject-Out Cross-Validation (LOSO-CV) linear regression were applied to predict behavioral performance under VWM conditions. Model performance was evaluated using RMSE. …”
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Methodology of nonlinearity in the research of the phenomenon of the innovation space of higher school expansion by O. Voeykova

“…The proposed methodology of nonlinear research is opposed to the so-called linear logic, a linear method often used in economics that considers objects and phenomena with predictable behavior and is not able to give a complete picture of the development of open nonequilibrium systems. …”
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Acceptance and Use of Technology: The Influence on Consumption in the Colombian Banking Sector by Campo Elías López-Rodríguez, Luisa Fernanda Rodríguez-Calderón

“…The results suggest that effort expectancy and facilitating conditions predict behavioral intention and actual use of technology in the studied population, whereas social influence and performance expectancy do not. …”
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3d finite element simulation of reinforced concrete column strengthened by partially confined carbon fibre reinforced polymer under concentric loading by Fariz Aswan Ahmad Zakwan, Ruqayyah Ismail, Hazrina Ahmad, Raizal Saifulnaz Muhammad Rashid

“…Therefore, the prediction behavior of the RC column strengthened with partially confined CFRP under concentric loading was made with the application of the general-purpose of ABAQUS finite element simulation. …”
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Analysis of a glide path creation necessity at the initial stages of endodontic treatment by Z. S. Khabadze, Yu. A. Generalova

“…According to the studied literature, it can be said that the glide path provides a predictable behavior of rotary tools and it is a recommended condition for achieving the success of endodontic treatment at the stage of canal mechanical treatment and preventing iatrogenic complications.…”
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Adaptability and stability of corn genotypes for baby corn production via GGE biplot and REML by Maxwel Rodrigues Nascimento, Josefa Grasiela Silva Santana, Paulo Ricardo dos Santos, Rogério Figueiredo Daher, Alexandre Gomes de Souza, Ana Kesia Faria Vidal, Moisés Ambrósio, Gérsia Gonçalves de Melo

“…The HMRPGV method and ideotypes obtained through graphic analysis proved effective in selecting genotypes with high productive potential, responsiveness to environmental changes, and highly predictable behavior in the face of environmental stimuli. …”
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Using the Language of elite athletes to predict their personality and on court transgressions by Maor Daniel Levitin, Itamar Zan Ger, Ze’ev Sovik, Ariel Taieb, Lyle Ungar, Michael Gilead

“…The language people use to express themselves can often predict personality and so should, in theory, provide a surrogate marker for predicting behavior. We used social media (Twitter) language from a sample of 252 NBA players to estimate their Five Factor personality scores, and then, used these scores to try and predict on-court transgressive behavior. …”
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