Performance Evaluation and Optimization of 3D Gaussian Splatting in Indoor Scene Generation and Rendering by Xinjian Fang, Yingdan Zhang, Hao Tan, Chao Liu, Xu Yang

“…Through a systematic quantitative analysis of various performance indicators under differing resolution conditions, threshold settings for the average magnitude of spatial position gradients, and adjustments to the scaling learning rate, the optimal parameter configuration for the 3DGS model, specifically tailored for indoor modeling scenarios, is determined. …”
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Dynamic Traffic Congestion Simulation and Dissipation Control Based on Traffic Flow Theory Model and Neural Network Data Calibration Algorithm by Li Wang, Shimin Lin, Jingfeng Yang, Nanfeng Zhang, Ji Yang, Yong Li, Handong Zhou, Feng Yang, Zhifu Li

“…From the point of view of quantitative traffic congestion, the paper provides the fact that the simulation platform of urban traffic integration is constructed, and a feasible data analysis, learning, and parameter calibration method based on RBF neural network is proposed, which is used to determine the corresponding decision support system. …”
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Öğretmen Adayları Tarafından Geliştirilen Sorulara Web 2.0 Destekli Ölçme Değerlendirme Eğitiminin Etkisi by Göksel Çelenk, Zeynep Tatlı

“…Bu kapsamda öğretmen adaylarına ölçme değerlendirme amaçlı web 2.0 araçlarının (Kahoot, Quizizz, Testmoz, Quiz Maker, LearningApps, Polldady) kullanımına yönelik 40 saatlik yüz yüze eğitim verilmiştir. …”
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When is synthetic sufficient? Ethical considerations and alternatives in simulation-based ultrasound education by Andrea J. Doyle, Claire M. Condron

“…Moreover, synthetic models can simulate specific pathologies, enabling targeted learning that may be difficult with animal tissue. …”
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Modelling current and future forest fire susceptibility in north-eastern Germany by K. H. Horn, K. H. Horn, S. Vulova, S. Vulova, H. Li, B. Kleinschmit

“…We applied a random forest (RF) machine learning (ML) algorithm to model current and future FFS in the federal state of Brandenburg (Germany) using topographic, climatic, anthropogenic, soil, and vegetation predictors. …”
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Therapeutic potential of phytocompounds of Bacopa monnieri (L.) Wettst (literature review) by O.O. Nikitina, D.S. Tsyba

“…The mechanism of action of bacoside on β-amyloid is characterized and illustrated. Using machine learning, the prospects for using the main compounds of bacopa to create drugs were calculated taking into account the ATC classification, their biological effects and alternative plant sources were given. …”
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Rapid changes in plasma corticosterone and medial amygdala transcriptome profiles during social status change reveal molecular pathways associated with a major life history transit... by Tyler M Milewski, Won Lee, Rebecca L Young, Hans A Hofmann, James P Curley

“…Further, increases in genes associated with synaptic plasticity, excitatory glutamatergic signaling and learning and memory pathways were observed in transitioning animals suggesting that these processes may support rapid social status changes.…”
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Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm by Mohamed Ebeed, Sabreen hassan, Salah Kamel, Loai Nasrat, Ali Wagdy Mohamed, Abdel-Raheem Youssef

“…Firstly, it employs the Elite Centroid Quasi-Oppositional Base Learning (ECQOBL) approach to improve the exploitation capabilities of conventional algorithms. …”
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Robust survival model for the prediction of Li-ion battery lifetime reliability and risk functions by Rasheed Ibraheem, Timothy I. Cannings, Torben Sell, Gonçalo dos Reis

“…The signature method with both desirable mathematical and machine learning properties was adopted as a feature extraction technique.The developed models are tested rigorously using application-driven strategies involving model robustness to the number of cycles of data required for model training and prediction, different fractions of training samples, and systematic data sparsity. …”
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Work-Domain Goal Orientation: A Theoretical Framework for the Construct and Turkish Adaptation of a Work-Domain Goal Orientation Instrument by Aysun Gurol, Dilek Ilhan Findikoglu, Mehmet Gurol, Fuat Findikoglu, Mehmet Yesilkaya

“…Exploratory and confirmatory factor analyses confirmed a three-factor structure (learning, proving, avoiding), accounting for 68.4% of the variance. …”
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Pairing Cholinergic Enhancement with Perceptual Training Promotes Recovery of Age-Related Changes in Rat Primary Auditory Cortex by Patrice Voss, Maryse Thomas, You Chien Chou, José Miguel Cisneros-Franco, Lydia Ouellet, Etienne de Villers-Sidani

“…We used the rat primary auditory cortex (A1) as a model to probe the effects of cholinergic enhancement on perceptual learning and auditory processing mechanisms in both young and old animals. …”
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Novel Osteo Refurbishment Method and Choice of Colouring Materials for Anatomy Specimens by Dibakar BORTHAKUR, Rajesh KUMAR, Neerja RANI, Rima DADA

“…Objective: The introduction of competency-based medical education curriculum and a shifted focus towards self-directed learning (SDL) in medical schools across the world has necessitated a reduction of didactic teaching hours. …”
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Vaccine-induced reduction of COVID-19 clusters in school settings in Japan during the epidemic wave caused by B.1.1.529 (Omicron) BA.2, 2022 by Yuta Okada, Hiroshi Nishiura

“…Our results also suggest that antigenically updated vaccines that are more effective against the variant responsible for the ongoing epidemic may greatly help decrease not only the incidence but also the unnecessary loss of learning opportunities among school-age students.…”
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Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning by Manish Sharma, Jamison Heard, Eli Saber, Panagiotis Markopoulos

“…While Convolutional Neural Networks (CNNs) excel at learning complex latent-space representations, their over-parameterization can lead to overfitting and reduced performance, particularly with limited data. …”
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Targeted Neuromodulation of Abnormal Interhemispheric Connectivity to Promote Neural Plasticity and Recovery of Arm Function after Stroke: A Randomized Crossover Clinical Trial Stu... by Michael R. Borich, Steven L. Wolf, Andrew Q. Tan, Jacqueline A. Palmer

“…This clinical trial aims to characterize ihPAS-induced modulation of interhemispheric connectivity and the effect on motor skill performance and learning in chronic stroke survivors. Methods/Design. …”
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PORTFOLIO AS AN INSTRUMENTAL MEANS OF SELF-EVALUATION OF EDUCATIONAL AND PROFESSIONAL ACHIEVEMENTS OF STUDENTS by E. F. Zeer, L. N. Stepanova

“…The use of the portfolio contributes to the solution of significant pedagogical tasks, such as stimulating motivation for learning, striving for a high level of achievement, the development of reflective and evaluation skills. …”
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Community-engaged artificial intelligence research: A scoping review. by Tyler J Loftus, Jeremy A Balch, Kenneth L Abbott, Die Hu, Matthew M Ruppert, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Philip A Efron, Patrick J Tighe, William R Hogan, Parisa Rashidi, Michelle I Cardel, Gilbert R Upchurch, Azra Bihorac

“…Embase, PubMed, and MEDLINE databases were searched for articles describing artificial intelligence or machine learning healthcare applications with community involvement in model development, validation, or implementation. …”
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Postdigital Bystanding: Youth Experiences of Sexual Violence Workshops in Schools in England, Ireland, and Canada by Jessica Ringrose, Debbie Ging, Faye Mishna, Betsy Milne, Tanya Horeck, Kaitlynn Mendes

“…Whist the young people generally reported benefitting from the intervention, in the context of increasing use of digital technologies amongst youth, we explore the context-specific challenges they faced in learning about and being supported through bystander strategies across a wide range of diverse school spaces. …”
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Distribution of trial registry numbers within full-text of PubMed Central articles: implications for linking trials to publications and indexing trial publication types by Arthur M. Holt, Ang Michael Troy, Neil R. Smalheiser

“…A variety of natural language processing (NLP)-based and machine learning-based models have been developed to assist users in identifying these connections. …”
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Applications of unmanned vehicle systems for multi-spatial scale monitoring and management of aquatic ecosystems: A review by Xingzhen Liu, Long Ho, Stijn Bruneel, Peter Goethals

“…The systematic analysis highlights the gap in UVS applications for multi-spatial scale monitoring and reveals significant opportunities for integrating UVS with Artificial Intelligence (AI), machine learning, and Internet of Things (IoT) technologies, which are improving UVS integration, security, and efficiency, and enabling better resource management and navigation accuracy. …”
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