A qualitative exploration of owner experiences following dog adoption by Bethany Joy Moyer, Helen Zulch, Beth Ann Ventura, Oliver Burman

“…Behaviours used by owners to assess dog adjustment included: moderation of behavioural extremes (e.g. lethargy and restlessness); play; tail wagging; greeting; and learning their routine. Owners reported that prior experiences and medical needs impacted the adjustment duration, that they adjusted aspects of their lifestyle, and raised concerns about being the right fit for their dog. …”
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Exploring the experiences of children's palliative care for forced migrant families in the United Kingdom: an interpretative phenomenological study by Marie Clancy, Caroline Bradbury-Jones, Jenny Phillimore, Julie Taylor

“…Compassionate, empathetic, family-centred care which valued family belief systems and coping strategies, optimised care. Learning with and from families was described by all participants, which enhanced understanding and fostered mutual respect. …”
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Combination Therapy with Platelet-Rich Plasma and Epidermal Neural Crest Stem Cells Increases Treatment Efficacy in Vascular Dementia by Somayeh Akbari, Masoud Haghani, Mojtaba Ghobadi, Etrat Hooshmandi, Afshin Borhani Haghighi, Mohammad Saied Salehi, Sareh Pandamooz, Negar Azarpira, Afsoon Afshari, Shahrbanoo Zabihi, Marzieh Nemati, Mahnaz Bayat

“…The results demonstrated impaired learning, memory, and synaptic plasticity in the 2VO rats, along with a significant decrease in the expression of IGF-1, TGF-β1, PSD-95, and upregulation of GSK-3β. …”
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An optimized lightweight real-time detection network model for IoT embedded devices by Rongjun Chen, Peixian Wang, Binfan Lin, Leijun Wang, Xianxian Zeng, Xianglei Hu, Jun Yuan, Jiawen Li, Jinchang Ren, Huimin Zhao

“…YOLOv8, as an advanced deep learning model in the field of target detection, has attracted much attention for its excellent detection speed, high precision, and multi-task processing capability. …”
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Comparison of conditioning factor classification criteria in large-scale statistically based landslide susceptibility models by M. Sinčić, S. Bernat Gazibara, M. Rossi, S. Mihalić Arbanas

“…Some of the novelties in LSA are the following: scenarios using stretched landslide conditioning factor values or classification with more than 10 classes prove more reliable; certain statistical methods are more sensitive to the landslide conditioning factor classification criteria than others; all the tested machine learning methods give the best landslide susceptibility model performance using continuous stretched landslide conditioning factors derived from high-resolution input data. …”
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Evidências de Validade de Conteúdo de uma Medida de Competências Socioemocionais para Crianças e Adolescentes by Louise Marques, Ana Clara Capistrano Soares, Lucas Barrozo de Andrade, Adriana Lima, Bruno Oliveira, Jesus Landeira-Fernandez, Luis Anunciação

“…Para alcançar este objetivo, foram selecionados cinco instrumentos em língua inglesa listados pelo Collaborative for Academic, Social, and Emotional Learning e foram criados itens. Foi realizado processo de tradução e retrotradução. …”
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Harnessing Internet Search Data as a Potential Tool for Medical Diagnosis: Literature Review by Gregory J Downing, Lucas M Tramontozzi, Jackson Garcia, Emma Villanueva

“…Leveraging advancements in machine learning, researchers have explored linking search data with health records to enhance screening and outcomes. …”
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Identification and analysis of factors affecting the maturity of knowledge-based companies in the food industry with the approach of the fourth-generation industry by Ali Mohaghar, Fatemeh Saghafi, Mohammad Hasan Maleki, Daryamehr Keshani

“…The priority factors were: governance of data-driven decision-making culture, the use of new learning methods in the organization, the use of cloud platforms in the organization, the use of smart machines and equipment in the company, and innovation policies in the organization.Originality/Value: Practical research proposals were developed based on the most important factors. …”
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TDR Technique for Estimating the Intensity of Evapotranspiration of Turfgrasses by Grzegorz Janik, Karol Wolski, Anna Daniel, Małgorzata Albert, Wojciech Skierucha, Andrzej Wilczek, Paweł Szyszkowski, Amadeusz Walczak

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Hydrogen Leakage Location Prediction in a Fuel Cell System of Skid-Mounted Hydrogen Refueling Stations by Leiqi Zhang, Qiliang Wu, Min Liu, Hao Chen, Dianji Wang, Xuefang Li, Qingxin Ba

“…The hyperparameters included a learning rate of 0.0001, a batch size of 32, and 10-fold cross-validation. …”
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A Fourfold Bi-Filter and Permuted Bi-Quad-Wrapper Feature Selection Method for Finding Optimal Moments of Multi-Trajectory Transient Records in Transient Analysis by Seyed Alireza Bashiri Mosavi, Omid Khalaf Beigi

“…Due to kernel-based learning necessity in NTES, embedding the radial basis function (RBF), dynamic time warping (DTW), and polynomial (POL) kernels into dual HCs is on the agenda. …”
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Rapid and accurate multi-phenotype imputation for millions of individuals by Lin-Lin Gu, Hong-Shan Wu, Tian-Yi Liu, Yong-Jie Zhang, Jing-Cheng He, Xiao-Lei Liu, Zhi-Yong Wang, Guo-Bo Chen, Dan Jiang, Ming Fang

“…In the present study, we have developed a multi-phenotype imputation method based on mixed fast random forest (PIXANT) by leveraging efficient machine learning (ML)-based algorithms. We demonstrate by extensive simulations that PIXANT is reliable, robust and highly resource-efficient. …”
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Time Series Prediction of COD_Mn in Dianchi Lake Based on Data Decomposition and NARX Optimization by WANG Yongshun, CUI Dongwen

“…Comparative analyses are made with WPT-particle swarm optimization (PSO) - NARX, WPT-genetic algorithm (GA) - NARX, WPT-NARX, SHIO-NARX, WPT-SHIO extreme learning machine (ELM), and WPT-SHIO-BP neural network models. …”
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Legal aspects of functional security standardisation of the Internet of Things by P. S. Klimushyn, V. Ye. Roh, T. P. Kolisnyk

“…To support the Internet of Things, technologies such as built-in devices, cloud and fog computing, big data processing, machine learning, and artificial intelligence are used to produce intelligent physical objects. …”
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A Novel Telerehabilitation System for Physical Exercise Monitoring in Elderly Healthcare by Muhammad Abrar Ashraf, Shaheryar Najam, Touseef Sadiq, Shabbab Algamdi, Hanan Aljuaid, Hameedur Rahman, Ahmad Jalal

“…These multimodal features are fused and input into a deep learning model for classification and correctness assessment. …”
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Creating interventions to transition long-lasting insecticide net distribution in Ghana by Philip Adongo, Phyllis Dako-Gyeke, Nana Yaw Peprah, Emmanuel Asampong, Philip Teg-Nefaah Tabong, Franklin Glozah, Adanna Nwameme, Ruby Hornuvo, Margaret Chandi

“…Cocreation involved participatory learning in action technique which is a practical, adaptive research strategy which enabled diverse groups and individuals to learn, work and act together in a cooperative manner.Results The results suggest the establishment of a Community Health Advocacy Team (CHAT). …”
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Classification of Toraja Wood Carving Motif Images Using Convolutional Neural Network (CNN) by Nurilmiyanti Wardhani, Billy Eden William Asrul, Antonius Riman Tampang, Sitti Zuhriyah, Abdul Latief Arda

“…This study is highly significant as it implements a deep learning model using the CNN algorithm optimized with the ResNet50 architecture. …”
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Active games for increasing social and emotional competencies of young adults in probation system: a one-sample trial study in Izmir city in Turkiye by Inci Derya Yucel, Gorkem Yararbas

“…The Collaborative for Academic, Social, and Emotional Learning (CASEL) model, which defines five social and emotional skills (self-awareness, self-management, responsible decision making, relationship skills, social awareness), was used to support observation and game design. …”
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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

“…Crow Search Optimization (CSO) and fractional calculus are used to create an optimal solution in the proposed crow search fractional calculus optimization (CSFCO) algorithm for deep learning. CSO is inspired by the intelligent foraging behavior of crows, and when combined with fractional calculus, it provides a robust optimization framework that improves the accuracy and efficiency of the AI model. …”
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Correlation of MRI Visual Scales with Neuropsychological Profile in Mild Cognitive Impairment of Parkinson’s Disease by Luiz Felipe Vasconcellos, João Santos Pereira, Marcelo Adachi, Denise Greca, Manuela Cruz, Ana Lara Malak, Helenice Charchat-Fichman, Mariana Spitz

“…Statistically significant inverse correlation was observed between GCA scale and Mini-Mental Status Examination (MMSE), Montreal Cognitive Assessment (MoCA), semantic verbal fluency, Stroop test, figure memory test, trail making test (TMT) B, and Rey Auditory Verbal Learning Test (RAVLT). The MTA scale correlated with Stroop test and Fazekas scale with figure memory test, digit span, and Stroop test according to the subgroup evaluated. …”
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