Advances in wide-field fundus imaging for pachychoroid disease by HE Guiqin, WEN Feng

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Development of Loop-Mediated Isothermal Amplification Combined with Lateral Flow Dipstick Assay for a Rapid and Sensitive Detection of Cystic Echinococcosis in Livestock in Kenya by Nasser Arreh Badoul, John Kagira, Florence Ng’ong’a, Hunduma Dinka

“…The LAMP reaction was performed at 60°C for 40 minutes, and the amplification products were successfully visualized by LFD strips. The analytical sensitivity of LAMP-LFD was determined using 10-fold serial dilutions of E. granulosus DNA. …”
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From Waste to Weave: Recycling Industrial and Consumer Cotton Waste for Sustainable and Cost-Effective Terry Fabric Production by Imran Ahmad Khan, Mumtaz Hasan Malik, Ahmad Fraz, Hafsa Ibrahim

“… The textile sector is a major source of global pollution and resource depletion, generating waste at every stage of production, from spinning to garment manufacturing. …”
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Rapid, Precise Parameter Optimization and Performance Prediction for Multi-Diode Photovoltaic Model Using Puma Optimizer by En-Jui Liu, Yan-Hao Huang, Wei-Lun Lin, Chen-Kai Wen, Chun-I Lin

“…Lastly, the research analyzes parameter sensitivity to help reduce computational resource usage. Visual analysis confirms that the PO parameter optimization approach provides an effective and practical solution for enhanced energy management and stable grid integration as solar adoption continues to expand.…”
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Dynamic mechanisms and spatial spillover effects of cultural tourism development in the China–Pakistan Economic Corridor by Zuhaib, Gang Liu, Jingyao Chen, Shuaib Ali, Zhang Rui, Dawood, Huan Chen

“…Furthermore, non-CPEC regions exhibit minor advantages in terms of indirect economic gains and increased accessibility, highlighting the ongoing inequalities.DiscussionThese findings provide empirical insights into the regional impacts of large-scale initiatives, such as CPEC, and draw attention to government intervention, equitable resource allocation, and stakeholder collaboration to achieve long-term cultural tourism.…”
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Building m-health technology to promote breastfeeding by Jéssika Roberta Firme de Moura Santos, Maria Alzete de Lima, Ana Larissa Gomes Machado, Edina Araújo Rodrigues Oliveira, Adriele de Almeida Brito, Milena Leite Veloso, Luisa Helena de Oliveira Lima

“…Results: the application is entitled "Amamente" (Breastfeeding), and consists of the visual identity of the nursing mother, the welcome screen, and the "We want to meet you" screen. …”
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Multi-HM: A Chinese Multimodal Dataset and Fusion Framework for Emotion Recognition in Human–Machine Dialogue Systems by Yao Fu, Qiong Liu, Qing Song, Pengzhou Zhang, Gongdong Liao

“…Our dataset employs a five-dimensional annotation framework that systematically integrates textual, vocal, and visual modalities while simulating authentic HCI workflows to encode pragmatic behavioral cues and mission-critical emotional trajectories. …”
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Integrated groundwater suitability analysis for irrigation purposes: A case study from the Middle Cheliff plain, Algeria by Abaidia Sofiane, Remini Boualem, Ezziane Karim

“…The integration of GIS provided a powerful tool for visualizing and interpreting spatial patterns of groundwater quality, enabling the identification of priority areas for intervention. …”
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A Knowledge-Enhanced Object Detection for Sustainable Agriculture by Youcef Djenouri, Ahmed Nabil Belbachir, Tomasz Michalak, Asma Belhadi, Gautam Srivastava

“…Our framework uses a knowledge base of visual features and loss values from multiple deep-learning models during the training phase to choose the most effective model for the testing phase. …”
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Sound Absorption of the Water Column and Its Calibration for Multibeam Echosounder Backscattered Mapping in the East Sea of Korea by Seung-Uk Im, Cheong-Ah Lee, Moonsoo Lim, Changsoo Kim, Dong-Guk Paeng

“…This study leverages CTD datasets from the Korea Oceanographic Data Center (KODC) to analyze and visualize the spatiotemporal variations in absorption parameters in the East Sea of Korea, which are subject to pronounced variability over time and space. …”
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Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis by Hafiz Muhammad Raza Ur Rehman, Mahpara Saleem, Muhammad Zeeshan Jhandir, Eduardo Silva Alvarado, Helena Garay, Imran Ashraf

“…A thorough examination of hate speech detection methods in a variety of settings, such as code-mixed, multilingual, visual, audio, and textual scenarios, is presented in this paper. …”
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Causal Intervention-Based Multimodal Class-Incremental Learning Network for 3D Model Classification and Retrieval by Qiang Li, Qiu-Yang Ma, Ning Zhang, Wei-Zhi Nie

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Infrared object detection for robot vision based on multiple focus diffusion and task interaction alignment by Jixu Zhang, Li Wang, Hung-Wei Li, Meng-Yen Hsieh, Shunxiang Zhang, Hua Wen, Meng Chen

“…To address the above problems, this paper proposes a robot visual infrared object detection (MFDTIA-Detection) based on multiple focus diffusion and task interaction alignment. …”
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BMT: A Cross-Validated ThinPrep Pap Cervical Cytology Dataset for Machine Learning Model Training and Validation by E. Celeste Welch, Chenhao Lu, C. James Sung, Cunxian Zhang, Anubhav Tripathi, Joyce Ou

“…While a multicellular liquid SurePath™ dataset has been created, machine learning models struggle to classify a test image set when it is prepared differently from the training set due to visual differences. Therefore, this dataset of multicellular Pap smear images prepared with the more common ThinPrep® protocol is presented as a helpful resource for training and testing artificial intelligence models, particularly for future application in cervical dysplasia diagnosis. …”
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State of the Art and Future Directions of Small Language Models: A Systematic Review by Flavio Corradini, Matteo Leonesi, Marco Piangerelli

“…Drawing on 70 English-language studies published between January 2023 and January 2025, identified through Scopus, IEEE Xplore, Web of Science, and ACM Digital Library, and focusing primarily on SLMs (including those with up to 7 billion parameters), this review offers a structured overview of the current state of the art and potential future directions. Designed as a resource for researchers seeking an in-depth global synthesis, the review examines key dimensions such as publication trends, visual data representations, contributing institutions, and the availability of public datasets. …”
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Unveiling the gaze: deciphering key factors in selecting knowledge workers through eye-tracking analysis by Mahshid Pourhosein, Mehdi Sabokro

“…The study contributes valuable insights for organizations aiming to refine their hiring practices, emphasizing the importance of both cognitive skills and visual behaviors in candidate assessment. This research lays the groundwork for future studies exploring the intersection of technology and human resource management to optimize workforce effectiveness.…”
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Comprehensive dataset of Portuguese folk instruments for computer vision and heritage researchMendeley Data by Luis Augusto Silva Zendron, Héctor Sánchez San Blas, André Filipe Sales Mendes, Diego M. Jiménez-Bravo, Álvaro Lozano Murciego

“…This dataset contains visual data of traditional Portuguese musical instruments extracted from videos available on the “A Música Portuguesa A Gostar Dela Própria” webpage. …”
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Evaluation and spatiotemporal evolution of veterinary talent competitiveness: a new perspective of veterinary education by Xianhang Xu, Mohd Anuar Arshad, Yugang Jian, Arshad Mahmood, Mengdie Dong

“…Starting from an industrial perspective, the introduction of scientific analytical methods for studying veterinary talent competitiveness offers a new view on veterinary education and helps to improve the quality of veterinary education and talent cultivation.MethodsThis study develops a veterinary talent competitiveness evaluation index based on the characteristics of veterinary talent. It proposes a visual method to analyze the level and spatiotemporal evolution of veterinary talent competitiveness using the Entropy method and ArcGIS tools, with Western China as a case study. …”
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Scientific knowledge management about Monte Carlo method: a bibliometric analysis on IRD Postgraduate Program in Radiation Protection and Dosimetry by FELIPE DO CARMO AMORIM, PEDRO PACHECO DE QUEIROZ FILHO, Fernando Barcellos Razuck

“…The MC is a statistical tool widely used in different areas of knowledge, as a resource for simulating events that involve from financial assessments to the interaction of radiation with matter. …”
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Development and Validation of a Wave-Propelled Semi-submersible Unmanned Vehicle by Tian Yingyuan, Li Weijia, Wang Zhigang

“…Ocean observation and exploration technologies are crucial for marine environmental protection and resource development, but traditional tools have limitations in terms of operating time, coverage, and cost. …”
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