Managers' perspectives on weather extremes prevalence in South African national parks by Godwell Nhamo, Nthivhiseni Mashula, Gideon W. Mutanda

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Emotional State as a Key Driver of Public Preferences for Flower Color by Juan She, Renwu Wu, Bingling Pi, Jie Huang, Zhiyi Bao

“…Factors such as age, annual household income level (AI), personal income sources (PI), nature experience, and emotional state (TMD) significantly influence color preferences, with emotional state identified as the most critical factor. …”
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THE LGORITHMIC BASICS OF MEASUREMENTS by A. A. Moskvitin, A. B. Cheboksary, A. V. Duplishchev

“…And also the algorithm is described and the corresponding software is created that im-plements the specified algorithm of the general method of searching for universal scales of the cor-responding rank for each measuring device. …”
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Automation of autonomous mobile robot docking based on the counter growth rapidly exploring random tree method by V. V. Golubov, S. V. Manko

“…The final series of full-scale experiments was carried out on the example of JetBot AI kit Nvidia platforms for automatic docking of autonomous robots. …”
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Smart governance for smart cities and nations by Z.R.M. Abdullah Kaiser

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Comparison of Deep Learning Models and Optimization Algorithms in the Detection of Scoliosis and Spondylolisthesis from X-Ray Images by Abdullah Erhan Akkaya, Cengiz Hark, Harun Güneş

“…The study uses a data set created and/or analyzed during an existing study. …”
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An extended intelligent driving model for autonomous and manually driven vehicles in a mixed traffic environment with consideration to roadside crossing by Yu Bai, Pengyue Tu, Ghim Ping Ong

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A Non-Invasive Approach for Facial Action Unit Extraction and Its Application in Pain Detection by Mondher Bouazizi, Kevin Feghoul, Shengze Wang, Yue Yin, Tomoaki Ohtsuki

“…In particular, sharing patients’ facial images poses considerable privacy risks, especially with the rise of generative artificial intelligence (AI), which could misuse such data if accessed by unauthorized parties. …”
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Health informatics to enhance the healthcare industry's culture: An extensive analysis of its features, contributions, applications and limitations by Mohd Javaid, Abid Haleem, Ravi Pratap Singh

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Exploring the Relation of Livability Mapping and Flood Exposure Analysis by Combining Remote Sensing and Citizen Science by F. Campomanes V, L. Trento Oliveira, M. Belgiu, A. Abascal, A. Dijkstra, M. Kuffer, M. Kuffer

“…This study investigates the intersection of urban livability and flood exposure by integrating remote sensing, citizen science, and AI-driven analysis across three African countries: Ghana, Kenya, and Mozambique. …”
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Evaluation of large language model-driven AutoML in data and model management from human-centered perspective by Jiapeng Yao, Lantian Zhang, Jiping Huang

“…As organizations increasingly seek to leverage machine learning (ML) capabilities, the technical complexity of implementing ML solutions creates significant barriers to adoption and impacts operational efficiency. …”
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Diagnosis and Classification of Tuberculosis Chest X-ray Images of Children Less Than 15 years at Mbarara Regional Referral Hospital Using Deep Learning. by Kawuma, Simon, Kumbakumba, Elias, Mabirizi, Vicent, Nanjebe, Deborah, Mworozi, Kenneth, Mukama, Adolf Oyesigye, Kyasimire, Lydia

“…To this end, this research aims to close the TB mortality gap in children by applying AI, primarily deep learning techniques, to detect TB in children. …”
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Journey across extrinsic tactics for power improvements of triboelectric energy harvesting beyond intrinsic materials and device structures: A concise review by Ahmed Mahfuz Tamim, Yebin Lee, Jung Hwan Park, Geon-Tae Hwang, Chang Kyu Jeong

“…The swift evolution of technologies like the Internet of Things (IoT), artificial intelligence (AI), and big data has created an unparalleled need for self-powered sensors and devices. …”
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Remote Monitoring System of Patient Status in Social IoT Environments Using Amazon Web Services Technologies and Smart Health Care by Amer Tahseen Abu-Jassar, Hani Attar, Ayman Amer, Vyacheslav Lyashenko, Vladyslave Yevsieiev, Ahmed Solyman

“…Based on the proposed concept, the authors created a structural diagram of the experimental RPMS and its built prototype. …”
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Attention-Enhanced CNN for High-Performance Deepfake Detection: A Multi-Dataset Study by Subhram Dasgupta, Kushal Badal, Swetha Chittam, Md Tasnim Alam, Kaushik Roy

“…This research works with a method that combines multi-head self-attention (MHSA) with a custom-designed convolutional neural network (CNN) to develop a robust deepfake detection model. We created a dataset called the Center for Cyber Defense DeepFake (CCDDF) dataset by generating fake images using publicly available Artificial Intelligence (AI) tools and trained our model on these data, achieving a detection accuracy of 97% and an AUC score of 99.58. …”
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Improving Thai undergraduate students’ web design skills for smartphones through a collaborative blended learning approach by Paitoon Pimdee, Oraboot Wuttikamonchai, Aukkapong Sukkamart, Chontawat Meedee, Sirinthorn Meekhobtong

“…PurposeThe increasing ubiquity of smartphones has created a growing demand for web designers skilled in creating responsive, user-centered, and smartphone-accessible websites. …”
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Classifying early apple scab infections in multispectral imagery using convolutional neural networks by Alexander J. Bleasdale, J. Duncan Whyatt

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Tailored SrFeO3-δ for chemical looping dry reforming of methane by Ao Zhu, Dongfang Li, Tao Zhu, Xing Zhu

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A Visualized Nomogram to Predict the Risk of Acute Ischemic Stroke Among Patients With Cervical Artery Dissection by Li C, Guan J, Zhao Q, Li J, Wang Y, Zhao K

“…Despite advancements in imaging technologies, there remains a deficiency in effective methodologies for the prompt identification of AIS attributable to CAD. This research aims to create a predictive model combining clinical, imaging, and laboratory data to improve risk stratification and guide timely interventions.Methods: Between 2019 and 2024, patients diagnosed with CAD were enrolled in the study. …”
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Dissecting the link between PD-1/PD-L1-based immunotherapy and cancer pain: mechanisms, research implications, and artificial intelligence perspectives by Marco Cascella, Brigida Miranda, Carmen Gagliardi, Lucia Santaniello, Milena Mottola, Alida Mancusi, Laura Ferrara, Federica Monaco, Francesca Gargano, Francesco Perri, Alessandro Ottaiano, Maurizio Capuozzo, Ornella Piazza, Stefano Pepe, Anna Crispo, Agostino Guida, Giovanni Salzano, Giustino Varrassi, Luigi Liguori, Francesco Sabbatino, The TRIAL Group

“…AI-based strategies, such as analyzing large datasets and creating predictive models, can identify patterns and correlations between PD-1/PD-L1 immunotherapy and pain. …”
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