Neurobehavioural Changes in a Patient with Bilateral Lesions of the Globus Pallidus by R. Haaxma, T. W. Robbins, M. James, W. H. Brouwer, J. G. Colebatch, C. D. Marsden

“…Her cognitive deficits were generally consistent with those found in patients with frontal lobe dysfunction but some deficits, i.e. in visual memory and learning, were more compatible with temporal lobe dysfunction. …”
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Classification of Prominent Cacao Pod Diseases Using Multi-Feature Visual Analysis and k-Nearest Neighbors Algorithm by Earl Clarence San Diego, Seph Gerald Rodrin, Edwin Arboleda

“…The study's outcome suggested the continuous practicality of fusing visual feature extraction processes with supervised machine learning to generate models that can be applied to improve agricultural methods.         …”
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The tourist experience: an experience of the frameworks of the tourist experience? by Hécate Vergopoulos

“…In a second sense, the tourist experience can be conceived as a learning process of the different world and otherness. …”
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Intelligent Construction, Operation, and Maintenance of a Large Wastewater-Treatment Plant Based on BIM by Jiu-Lin Li, Li-Min Chen, Hao Xu

“…According to this case example, we also offer suggestions on how deep learning and intelligent control techniques can be used to enhance intelligent O&M in WTPs.…”
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Clinical Treatment and Nursing Intervention Study of Clipping Treatment of Cerebral Aneurysm under the Health Model of Data Analysis by Yuyou Huang, Liping Huang

“…The model combines the characteristics of cerebral aneurysms for targeted analysis, and then through the understanding of the clipping treatment of cerebral aneurysms, this paper combines the deep learning in the neural network to train the treatment plan under the data analysis health model. …”
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Les écoquartiers, territoires d’expérimentation des nouvelles utopies urbaines ? Le cas de l’habitat participatif by Abdourahmane Ndiaye, Aurélie Carimentrand, Marie-Reine Gallard

“…The sustainable city, slogan of the modern utopias, is a place full of potential, offering different freedoms, links and meaning, a theatre for learning and social expression. Can we imagine building it without its inhabitants? …”
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Audience Study as Catalyst in Sustainable Nollywood Yoruba Film Industry by Adejoke Adetoun Ademuyiwa, Eunice Uwadinma-Idemudia

“…Theoretical framework is anchored on Bandura’s Social Learning theory, which concentrates on impact of artistic models on the audience’s psyche. …”
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Integration of Artificial Intelligence in Completing Final Projects as a Form of Student Independence and Creativity by Adi Wibowo, Ida Faridah

“…The research findings as a practical contribution show that integrating AI in the curriculum and final projects can enrich the learning process, broaden academic horizons, and improve students' readiness to face rapidly evolving industry challenges. …”
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Intelligent Cognitive Radio Models for Enhancing Future Radio Astronomy Observations by Ayodele Abiola Periola, Olabisi Emmanuel Falowo

“…OCS enables the underutilised HPC to be used to train learning algorithms of a cognitive base station. The performances of the three mechanisms are evaluated. …”
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Geographical patterns of intraspecific genetic diversity reflect the adaptive potential of the coral Pocillopora damicornis species complex. by M Carr, C Kratochwill, T Daly-Engel, T Crombie, R van Woesik

“…We focused on detecting genetic diversity hotspots, wherein some individuals are likely to possess gene variants that tolerate marine heatwaves. A deep-learning, multi-layer neural-network model showed that geographical location played a major role in intraspecific diversity, with mean sea-surface temperature and oceanic regions being the most influential predictor variables differentiating diversity. …”
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Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model by Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

“…In this paper, an approach using random forest (RF), which is one of the powerful machine learning algorithms, is proposed for predicting the compressive strength of concrete using GGBFS. …”
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DYRK1A (Dual-Specificity Tyrosine-Phosphorylated and -Regulated Kinase 1A): A Gene with Dosage Effect During Development and Neurogenesis by M. Dierssen, M. Martínez de Lagrán

“…In Drosophila, disruption of the homolog minibrain gene results in flies with reduced neuroblast proliferation, decreased numbers of central brain neurons, and learning/memory deficits. Knockout DYRK1A mice are embryonic lethal, and heterozygotes show decreased viability and region-specific reductions in brain size. …”
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Sentiment Analysis of Product Reviews Using Fine-Tuned LLaMa-3 Model: Evaluation with Comprehensive Benchmark Metrics by Wang Yili

“…The model’s fine-tuning process includes one-shot learning and chain-of-thought prompting to better capture nuanced sentiment expressions. …”
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Post-processing methods for delay embedding and feature scaling of reservoir computers by Jonnel Jaurigue, Joshua Robertson, Antonio Hurtado, Lina Jaurigue, Kathy Lüdge

“…Abstract Reservoir computing is a machine learning method that is well-suited for complex time series prediction tasks. …”
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Complete and Partial Lesions of the Pyramidal Tract in the Rat Affect Qualitative Measures of Skilled Movements: Impairment in Fixations as a Model for Clumsy Behavior by Ian Q. Whishaw, Dionne M. Piecharka, Felicia R. Drever

“…The tract traverses the entire central nervous system and, through direct and indirect connections to the brainstem and spinal cord sensory and motor nuclei, is involved in the learning and execution of skilled movements. Here, rats, either naive or pretrained on a number of motor tasks, were assessed for acute and chronic impairments following complete or incomplete pyramidal tract lesions. …”
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Strategy, investment, behaviour and results by Richard Pettinger

“…The drives to make effective business decisions are essentially generated by the need for human (as opposed to professional or expert) comfort, and therefore informed and influenced by the need to make outcomes as predictable and assured as possible, and that those in key organisational and managerial positions turn to the behaviours that they have learned over the entire period of their lives, rather than to professional expertise, knowledge and influence that are available to them in their organisations. …”
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Cost-Sensitive Feature Selection of Numeric Data with Measurement Errors by Hong Zhao, Fan Min, William Zhu

“…This study is a step toward realistic applications of the cost-sensitive learning.…”
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A General System for Automatic Biomedical Image Segmentation Using Intensity Neighborhoods by Cheng Chen, John A. Ozolek, Wei Wang, Gustavo K. Rohde

“…The approach is based on a supervised learning strategy that utilizes intensity neighborhoods to assign each pixel in a test image its correct class based on training data. …”
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Low Complexity, Low Probability Patterns and Consequences for Algorithmic Probability Applications by Mohammad Alaskandarani, Kamaludin Dingle

“…Additionally, we examine some applications of algorithmic probability and discuss some implications of low complexity, low probability patterns for several research areas including simplicity in physics and biology, a priori probability predictions, Solomonoff induction and Occam’s razor, machine learning, and password guessing.…”
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Operational strategy, capabilities, and successfully accomplishing business strategy by Ayman Sadik Al Najjar, Mahmoud Salameh Qandeel

“…Operational excellence necessitates a focus on efficiency, innovation, and customer experience, prompting a shift towards a learning style that encourages innovation. Aligning innovation efforts with business strategy is essential for sustainable competitive advantage. …”
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