Conservation education for sustainable development through field internship at NGOs by Yoji Natori, Tomohiro Nakagawa, Tomomi Saito, Tatsuhiro Kato, Takashi Seo, Makoto Yata, Yusuke Sawa, Mika Yasuda, Akiko Enomoto, Asako Isobe

“…The assessment sought answers to: What are the benefits of on-site internship, as opposed to classroom learning? What effects have the on-site internship had in the career of the participants? …”
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Facing depression: evaluating the efficacy of the EmpkinS-EKSpression reappraisal training augmented with facial expressions – protocol of a randomized controlled trial by Marie Keinert, Lena Schindler-Gmelch, Lydia Helene Rupp, Misha Sadeghi, Klara Capito, Malin Hager, Farnaz Rahimi, Robert Richer, Bernhard Egger, Bjoern M. Eskofier, Matthias Berking

“…Outcomes will be analyzed with multiple methods, such as hierarchical and conventional linear models and machine learning. Discussion If shown to be feasible and effective, the inclusion of kinesthesia into both psychotherapeutic diagnostics and interventions may be a pivotal step towards the more prompt, efficient, and targeted treatment of individuals with depression. …”
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International Natural Uranium Price Prediction Based on TF-CNN-BiLSTM Model by YANG Jingzhe, XUE Xiaogang

“…The training process was optimized with learning rate reduction and early stopping callbacks to prevent overfitting. …”

YOLOv8-Based Estimation of Estrus in Sows Through Reproductive Organ Swelling Analysis Using a Single Camera by Iyad Almadani, Mohammed Abuhussein, Aaron L. Robinson

“…To address this challenge, we propose a robust six-step methodology, accompanied by three stages of evaluation. …”
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Integration of YOLOv9 Segmentation and Monocular Depth Estimation in Thermal Imaging for Prediction of Estrus in Sows Based on Pixel Intensity Analysis by Iyad Almadani, Aaron L. Robinson, Mohammed Abuhussein

“…We propose a detailed four-step methodology coupled with two stages of evaluation. …”
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Randomized Purifier Based on Low Adversarial Transferability for Adversarial Defense by Sangjin Park, Yoojin Jung, Byung Cheol Song

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Les espaces numériques scolaires et l’accès du grand public à l’information numérique au Sénégal by Maty Diallo-Dia, Ansoumana Sane

“…This article is the result of a study on digital learning spaces in the Dakar area. Our methodology followed three complementary steps: a quantitative survey, a qualitative survey, and a review of current literature on the subject. …”
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Pattern and semantic analysis to improve unsupervised techniques for opinion target identification by Khairullah khan, Ashraf Ullah, Baharum Baharudin

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Que recouvre la fonction d’enseignant référent ? Cartographie d’une activité by Matthieu Laville

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Exploring attitudes to negotiated assessment in first-year widening participation undergraduates at an English university by Ian Fellows

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Enhancing Semantic Forestry Segmentation Through Advanced Preprocessing With ML Models by Krzysztof Wolk, Jacek Niklewski, Michal Kopczynski, Marek S. Tatara, Oleg Zero

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A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin Response by Javier Sáez-García, María Consuelo Sáiz-Manzanares, Raúl Marticorena-Sánchez

“…A Notebook in Jupyter is proposed with the steps for importing and processing data, as well as for using supervised and unsupervised machine learning algorithms.…”
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Adaptive defense model for critical assets against unknown network threats by HAO Xiaorong, LIU Bo, ZHOU Ding, CAO Jiuxin, ZHANG Jin

“…Experiments show that the proposed model achieves higher success rate in blocking unknown threats within limited steps compared to existing methods.…”
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Fourier Transformation-Based Analysis of X-Ray Diffraction Pattern of Keratin for Cancer Detection by Alexander Alekseev, Oleksii Avdieiev, Sasha Murokh, Delvin Yuk, Alexander Lazarev, Daizie Labelle, Lev Mourokh, Pavel Lazarev

“…We compare 745 combinations of data preprocessing steps and machine learning classifiers and determine the corresponding performance metrics. …”
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Exploring Quantum Neural Networks for Demand Forecasting by Gleydson Fernandes de Jesus, Maria Heloísa Fraga da Silva, Otto Menegasso Pires, Lucas Cruz da Silva, Clebson dos Santos Cruz, Valéria Loureiro da Silva

“…A classical recurrent neural network was used to compare the results, and they show a similar predictive capacity between the classical and quantum models, with the advantage of using a lower number of training parameters and also converging in fewer steps. Utilizing quantum computing techniques offers a promising solution to overcome the limitations of traditional machine learning approaches in training predictive models for complex market dynamics.…”
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Early Detection of Mental Health Disorders based on Sentiment using Stacking Method by Naufal Maldini, Danang Wahyu Utomo, Rahmadika Putri Tresyani

“…The data underwent preprocessing steps, including cleaning, balancing, and dimensionality reduction using the TF-IDF algorithm. …”
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A Comparative Study of Topic Modelling Approaches for User-generated Point of Interest Data by Ravi Satyappa Dabbanavar, Arindam Biswas

“…We also explore four text preprocessing steps to optimize the performance of the topic models. …”
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Creating effective peer observation faculty training through a community of practice by Alfred Bundrick, Becky A Tugman, Lauren E Stephens, Taimi Olsen

“…Based on literature supporting PoT steps, the collaborative vision between the faculty and the Center for Teaching and Learning director resulted in a supportive model for reviews that provided faculty with feedback and professional growth. …”
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(FT) PENGEMBANGAN VIDEO INTERAKTIF SEBAGAI INOVASI MEDIA PEMBELAJARAN PENANGANAN CEDERA LEHER PADA REMAJA by Seno Praditya Utomo, Irving Vitra Paputungan, Alfan Nur Asyhar

“… This study aims to develop an interactive video-based learning medium focused on neck injury management for adolescents aged 17–21 years, particularly in the context of football, which often involves physical collisions. …”
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Research on Detection of Bird Nests in Overhead Catenary Based on Deep Convolutional Neural Network by Deqiang HE, Zhou JIANG, Jiyong CHEN, Yanjie YANG, Xiaoyang YAO

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