Elevers och lärares fokus i naturvetenskapliga laborationer by Hugo von Zeipel, Anna-Karin Westman

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Elevers samtal om en PISA-uppgift - Naturvetenskap i olika skolkontexter by Pia Nygård Larsson, Anders Jakobsson

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Evaluating Teaching Effectiveness and Student Performance Across Diverse Courses: An Analysis of Final Exam Scores and Teaching Techniques by Vicente E. Montano, Glenndon C. Sobrejuanite

“…Bayesian analysis confirmed that the differences are statistically significant: the first discriminant function explains 86.8% of the variation, p < 0.001; the second function explains 13.2%, p < 0.001. …”
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Lessons learnt in the response to COVID-19 in Mozambique: enabling readiness for the next pandemic by Mariana E. Posse, Grace Njeri Muriithi, Daniel Malik Achala, Elizabeth Naa Adukwei Adote, Chinyere Ojiugo Mbachu, Senait Alemayehu Beshah, Senait Alemayehu Beshah, Chijioke Osinachi Nwosu, John Ele-Ojo Ataguba, John Ele-Ojo Ataguba, John Ele-Ojo Ataguba, John Ele-Ojo Ataguba, John Ele-Ojo Ataguba

“…There is room for improvement including the development of a clear budget, a communication plan, creation of an emergency fund, accountability in the use of funds, decentralization of surveillance infrastructure and representation of vulnerable, marginalized, and hard-to-reach populations in the design and implementation of pandemic response.ConclusionThe lessons learned from the COVID-19 response in Mozambique, which could be considered when preparing for an effective and equitable response to future pandemics, are in essence the following: there should be government leadership, a response plan, adequate resources, use of data to inform decisions, constant vigilance, a prompt response, involvement of all stakeholders and documentation of actions for continuous learning. …”
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Selective Reviews of Bandit Problems in AI via a Statistical View by Pengjie Zhou, Haoyu Wei, Huiming Zhang

“…Reinforcement Learning (RL) is a widely researched area in artificial intelligence that focuses on teaching agents decision-making through interactions with their environment. …”
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$$\alpha$$ -decay half-life predictions with support vector machine by Amir Jalili, Feng Pan, Jerry P. Draayer, Ai-Xi Chen, Zhongzhou Ren

“…Our analysis of 2232 nuclear data points demonstrates that the use of the radial basis function kernel yields predictive models with root mean square errors of 0.819 (for set1) and 0.352 (for set2), aligning with results obtained from comparable machine learning methodologies. …”
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Early-life stress induces persistent astrocyte dysfunction associated with fear generalisation by Mathias Guayasamin, Lewis R Depaauw-Holt, Ifeoluwa I Adedipe, Ossama Ghenissa, Juliette Vaugeois, Manon Duquenne, Benjamin Rogers, Jade Latraverse-Arquilla, Sarah Peyrard, Anthony Bosson, Ciaran Murphy-Royal

“…While the effects of early-life stress on neuronal function have been well-described, we still know very little about the contribution of non-neuronal brain cells. …”
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An unsupervised underwater image enhancement method based on generative adversarial networks with edge extraction by Yanfei Jia, Ziyang Wang, Liquan Zhao

“…First, we introduce the perceptual loss function into the conventional loss function to better measure the performance of two generative networks. …”
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Stability Analysis of Batch Offline Action-Dependent Heuristic Dynamic Programming Using Deep Neural Networks by Timotei Lala

“…Specifically, our work shows that the learning process of the action value function and controller under BOADHDP is uniformly ultimately bounded (UUB), contingent on certain conditions related to NN learning rates. …”
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Collaborative Superpixelwised PCA for Hyperspectral Image Classification by Chao Yao, Junrui Gu, Zehua Guo, Miao Ma, Qingrui Guo, Gong Cheng

“…To optimize the objective function, the Manopt toolbox is employed in the proposed method. …”
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Fast and Accurate Density Estimation of Hybrid Rice Seedlings Using a Smartphone and an Improved YOLOv8 Model by Zehua Li, Yongjun Lin, Yihui Pan, Xu Ma, Xiaola Wu

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LE-YOLO: A Lightweight and Enhanced Algorithm for Detecting Surface Defects on Particleboard by Chao He, Yongkang Kang, Anning Ding, Wei Jia, Huaqiong Duo

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Siamese Neural Networks in Unmanned Aerial Vehicle Target Tracking Process by Athraa Sabeeh Hasan Allak, Jianjun Yi, Haider M. Al-Sabbagh, Liwei Chen

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YOLOv7-DWS: tea bud recognition and detection network in multi-density environment via improved YOLOv7 by Xiaoming Wang, Xiaoming Wang, Zhenlong Wu, Guannan Xiao, Guannan Xiao, Chongyang Han, Cheng Fang

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An Enhanced Human Evolutionary Optimization Algorithm for Global Optimization and Multi-Threshold Image Segmentation by Liang Xiang, Xiajie Zhao, Jianfeng Wang, Bin Wang

“…In the CLNBHEOA, firstly, population diversity is enhanced using the Chebyshev–Tent chaotic mapping refraction opposites-based learning strategy. Secondly, an adaptive learning strategy is proposed which combines differential learning and adaptive factors to improve the ability of the algorithm to jump out of the locally optimum threshold. …”
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Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…Ablation studies were further performed to validate the effectiveness of the CBAM residual module and the perception similarity loss function in the network's overall architecture. Based on the generated rice disease samples, transfer learning experiments were conducted using various object detection models. …”
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PdYOLO: A Lightweight Algorithm for Detecting Peach Fruits Against a Peach Tree Background by Jiajun Zhang, Jialin Zhang, Kazuki Kobayashi

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EDT-Net: A Lightweight Tunnel Water Leakage Detection Network Based on LiDAR Point Clouds Intensity Images by Zhenyu Liu, Xianjun Gao, Yuanwei Yang, Lei Xu, Shaoning Wang, Ningsheng Chen, Zhiwei Wang, Yuan Kou

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An enhanced lightweight model for apple leaf disease detection in complex orchard environments by Ge Wang, Wenjie Sang, Fangqian Xu, Yuteng Gao, Yue Han, Qiang Liu

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Analysis of human brain RNA-seq data reveals combined effects of 4 types of RNA modifications and 18 types of programmed cell death on Alzheimer’s disease by Ke Ye, Xinyu Han, Mengjie Tian, Lulu Liu, Xu Gao, Qing Xia, Dayong Wang

“…Abstract Background RNA modification plays a critical role in Alzheimer’s disease (AD) by modulating the expression and function of AD-related genes, thereby affecting AD occurrence and progression. …”
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