A framework for skills development for employability in Botswana’s competitive accounting environment by Edmore Munjeyi, Danie Schutte

“…Main findings: Institutions of Higher Learning in Botswana are mandated to equip students with job market-relevant skills. …”
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How Do Particles with Complex Interactions Self-Assemble? by Lara Koehler, Pierre Ronceray, Martin Lenz

“…Here, we use Monte Carlo simulations and machine learning to start to unravel these principles. We observe that despite widespread geometrical frustration, aggregates of particles with complex interactions fall within only a few categories that often display high degrees of spatial order, including crystals, fibers, and oligomers. …”
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Gaps between market performance, government planning and social objectives: projections and comparisons of carbon price intervals by Xing Zhou, Jianze Xu, Ming Zhang, Anyi Niu, Chuxia Lin

“…This study developed the Hubei carbon price probability forecasting models using machine learning and stochastic analysis from the perspectives of market performance, government planning, and social objectives. …”
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Influence of psychophysiological features of the 3-d course students on their training at the department of pathological physiology SE "DMA". by V. V. Koldunov, G. A. Klopotskyi, Ju. V. Kozlova, G. S. Kaniuka, G. F. Starushkevych

“…As a result, it was found that the psychophysiological indicators of students affect on learning performance. The main psychological differences between successful and unsuccessful students are in the intellectual and emotional-will spheres. …”
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DeepRice6mA: A convolutional neural network approach for 6mA site prediction in the rice Genome. by Hussam Alsharif

“…Existing computational methods for identifying 6mA sites across large genomic regions tend to fall short in either accuracy or computational efficiency. …”
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Active Inference in Psychology and Psychiatry: Progress to Date? by Paul B. Badcock, Christopher G. Davey

“…The free energy principle is a formal theory of adaptive self-organising systems that emerged from statistical thermodynamics, machine learning and theoretical neuroscience and has since been translated into biologically plausible ‘process theories’ of cognition and behaviour, which fall under the banner of ‘active inference’. …”
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The dark and potentially bright sides of work-avoidance goal orientation by Thea Ebert, Rieke Först, Tanja Bipp

“…While a trichotomous framework (learning, performance-approach, and performance-avoidance goal orientations) dominates the work literature, goals regarding the work process, for example, minimal work expenditure, fall outside the scope. …”
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A novel general kernel-based non-negative matrix factorisation approach for face recognition by Wen-Sheng Chen, Xiya Ge, Binbin Pan

“…It not only avoids pre-image learning but also is suitable for any kernel functions as well. …”
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Planning for Change: A Maps and Geospatial Information Services Survey. by Tara LaLonde, Nathan Piekielek

“…The challenge now faced by geospatial services providers is to evolve and adapt their skills and service offerings in response to changes in research, teaching, and learning communities. Online survey instruments are a common tool used to assess geospatial user needs; however, they often fall short of anticipating future user needs and in helping geospatial services providers strategically assess the trade-offs between service offerings. …”
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WILD TURKEY ESTABLISHMENT AND SURVIVAL IN SMALL RANGE UNITS IN FARMLAND AND SUBURBAN ENVIRONMENTS by G.A. Wunz

“…Turkeys adapted and survived for varying periods, but only on the area offering the most refuge from fall hunting did the population increase and survive. …”
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A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

“…With the growing volume and complexity of digital transactions, the traditional rule-based and shallow learning models often fall short in detecting sophisticated fraud patterns. …”
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An Improved Phase Space Reconstruction Method-Based Hybrid Model for Chaotic Traffic Flow Prediction by Yue Hou, Da Li, Di Zhang, Zhiyuan Deng

“…Finally, an improved probabilistic dynamic reproduction-based genetic algorithm (PDRGA) is proposed to address the problem of the hybrid model falling into a local optimum when learning the phase space law. …”
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Pattern Recognition in Urban Maps Based on Graph Structures by Xiaomin Lu, Zhiyi Zhang, Haoran Song, Haowen Yan

“…Current pattern recognition methods for map groups primarily fall into two categories: machine learning-based approaches and traditional methods. …”
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Educational Information System Optimization for Artificial Intelligence Teaching Strategies by Taotang Liu, Zhongxin Gao, Honghai Guan

“…At the same time, in order to enhance the diversity of the population and strengthen the connection between the subgroups, after the teaching phase, the worst students in each subgroup are allowed to learn from the best teachers of the population, and after the learning phase, individuals in a random subgroup are allowed to learn from other subgroups. …”
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Enabling “barrio” innovation: a grassroots approach for centering community initiatives in just sustainability transformations by Vanya Bisht, Regional Carrillo, Monique Franco, Virginia Angeles-Wann, Jose-Benito Rosales Chavez, Samuel Gomez, Jessica Hess, Amanda Kuhn, Paige Mollen, Jorge Morales-Guerrero, John Wann-Ángeles, Chingwen Cheng, Marta Berbés-Blázquez

“…Yet, researcher–community collaborations aimed at facilitating meaningful transformations can fall short of their objectives if they do not explicitly recognize bottom-up transformative processes that already exist in the community that enable grassroots ways of knowing and addressing sustainability challenges prevalent in the community. …”
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Inversion of electric field component Ex in the SOTEM method based on the improved particle swarm optimization algorithm by Jifeng ZHANG, Changjian CHEN, Yuteng LI, Xiran YOU, Ziben MA

“…ObjectiveThe inversion of the horizontal electric field component in the grounded-source short offset transient electromagnetic (SOTEM) method using traditional algorithms is prone to fall into local extrema. To address this challenge, this study proposed an improved particle swarm optimization (PSO) algorithm that integrates the center of gravity reverse learning strategy. …”
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An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

“…Existing methods for anomaly detection in the IIoT often fall short when dealing with data imbalance, and the huge amount of IIoT data makes feature selection challenging and computationally intensive. …”
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Who is WithMe? EEG features for attention in a visual task, with auditory and rhythmic support by Renata Turkeš, Steven Mortier, Jorg De Winne, Jorg De Winne, Dick Botteldooren, Paul Devos, Steven Latré, Tim Verdonck

“…The performance of the different EEG representations is evaluated with the Support Vector Machine (SVM) accuracy on the WithMe data derived from a modified digit span experiment, and is benchmarked against baseline EEG-specific models, including a deep learning architecture known for effectively learning task-specific features.ResultsThe raw EEG time series outperform each of the considered data representations, but can fall short in comparison with the black-box deep learning approach that learns the best features.DiscussionThe findings are limited to the WithMe experimental paradigm, highlighting the need for further studies on diverse tasks to provide a more comprehensive understanding of their utility in the analysis of EEG data.…”
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Description of the Health Literacy and Physical Literacy Levels of Children Aged 12-15 Years by Alamsyah Alamsyah, Wahyu Indra Bayu, Herri Yusfi, Fitri Agung Nanda

“…The distribution of physical literacy knowledge data among all students revealed that 20% fall into the 'low' category, 77% are 'moderate,' and 3% are classified as 'good.'…”
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Éco-conseil : le défi d'appliquer le développement durable au deuxième cycle universitaire by Claude Villeneuve

“…Another short program in “Energy and sustainability” is to be offered at Fall 2012.Among the original features of those programs is the implementation of SD by the students in theory and practice all along their training. …”
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