Spatial distribution dataset of 30-m resolution cropland in agricultural regions, Qinghai-Tibet Plateau by Xingsheng Xia, Shenghui Lv, Meijuan Liu, Meng Yan, Qiong Chen, Yaozhong Pan

“…This dataset was generated using Landsat imagery and training samples derived from visual interpretation. An initial classification was conducted using a Random Forest classifier. …”
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Harnessing Artificial Intelligence for Wildlife Conservation by Paul Fergus, Carl Chalmers, Steven Longmore, Serge Wich

“…Conservation AI represents a significant step forward in addressing the urgent challenges of wildlife conservation, offering a scalable and adaptable solution that can be implemented globally.…”
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A computational diagnostic model for infectious diseases via similarity measures on N-framed plithogenic hypersoft sets by Muhammad Rayees Ahmad, Usman Afzal, Nadir Omer, Ali Delham Algarni, Sara A. Ghorashi, Huda Eltayeb

“…By measuring and visualizing change over time, this research boosts diagnostic accuracy in medicine and opens new ways to tackle dynamic data across fields.…”
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Threats to the Digital Ecosystem: Can Information Security Management Frameworks, Guided by Criminological Literature, Effectively Prevent Cybercrime and Protect Public Data? by Shahrukh Mushtaq, Mahmood Shah

“…Using data from the Global Cybersecurity Index (GCI), the paper introduces an innovative visual mapping of the divergence between cybersecurity preparedness and digital development across 170+ countries, revealing strategic gaps and overperformers. …”
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Assessing parental awareness and concerns about children’s tobacco smoke exposure: a community-based analysis by Seydanur Yaylaoglu, Cihad Dundar

“…Methods The language and cultural adaptation of the original scale was carried out according to the international guidelines. …”
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IMPLEMENTASI KEWIRAUSAHAAN BERBASIS TEKNOLOGI INFORMASI DAN LITERASI BAHASA INGGRIS DALAM MENINGKATKAN KOMPETENSI LULUSAN SMK NEGERI 1 CIBADAK SUKABUMI by Ricky Yoseptry, Timur Iriani, Tatang Sutarjo, Barri Mochamad Burhan

“…The Learning Journey Canvas method was utilized to design and visualize the learning process, while simulation techniques were employed for IT-based English literacy and entrepreneurship training. …”
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Segmentation of Stone Slab Cracks Based on an Improved YOLOv8 Algorithm by Qitao Tian, Runshu Peng, Fuzeng Wang

“…The dynamic up-sampling module (DySample) helps to adaptively reconstruct curved boundaries. In addition, the dynamic snake convolution head (DSConv) improves the model’s ability to follow irregular crack shapes. …”
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IRFNet: Cognitive-Inspired Iterative Refinement Fusion Network for Camouflaged Object Detection by Guohan Li, Jingxin Wang, Jianming Wei, Zhengyi Xu

“…To address these challenges, we propose Iterative Refinement Fusion Network (IRFNet), a novel framework that mimics human visual cognition through progressive feature enhancement and iterative optimization. …”
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Geospatial Approach to Soil Fertility Mapping in Dailekh District, Nepal: A GIS Perspective by Gaurab Dhakal, Sanket Kattel

“… Spatial mapping of the soil gives the distribution patterns of the nutrients, which is crucial for integrated nutrient management, site-specific crop selection, water resource management, and adaptation to climate change for optimizing productivity. …”
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The Impact of Social Capital on Overcoming Systemic Barriers and Lack of Benefit of the Doubt for Black Women in Leadership: Insights from Kamala Harris’s Presidential Campaign by Jennifer R. Bishop

“…Resilience, the capacity to adapt and persist in adversity, is crucial in navigating these challenges. …”
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The relative withdrawal of GFAP—An essential component of brain evolution by Mihály Kálmán

“…In the areas immunonegative to GFAP, astrocytes were visualized using other markers, such as glutamine synthetase or S-100 protein. …”
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Modeling Air Combat Behavior for Simulation-Based Pilot Training: A Survey of Machine Learning Approaches by Andreas Strand, Patrick Ribu Gorton, Karsten Brathen

“…Based on this analysis, we present four primary recommendations: 1) standardization and research collaboration initiatives, 2) enhanced focus on multi-agent machine learning and cooperation, 3) utilization of hierarchical behavior models, and 4) emphasis on beyond-visual-range scenarios. These recommendations aim to address the current limitations and guide the development of more comprehensive, adaptable, and realistic machine learning-based behavior models for simulation-based pilot training.…”
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Improved self-calibration image enhancement algorithm based on attention mechanism and its application in maritime low-light images by Li SU, Shihao CUI

“…The results show that when compared with the original unimproved algorithm, the improved algorithm not only improves the image brightness, but also provides higher color richness and no color distortion, while improving the standard deviation by an average of 20.01%, reducing the natural image quality evaluation by 9.16%, and improving the average gradient and information entropy by 23.68% and 6.46% respectively.ConclusionThe improved algorithm represents a breakthrough in image visual quality, enabling the better enhancement of maritime low-light images in different environments.…”
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Multimodal Alzheimer’s disease recognition from image, text and audio by Byounghwa Lee, Hwa Jeon Song, Young-Jin Park, Byung Ok Kang

“…While prior studies have primarily focused on speech- and text-based models, the integration of visual context is still at an early stage. This study proposes a novel multimodal AD prediction model that integrates image, text, and audio modalities. …”
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Imaging beta-galactosidase activity in human tumor xenografts and transgenic mice using a chemiluminescent substrate. by Li Liu, Ralph P Mason

“…<h4>Methodology and principal findings</h4>B-gal activity was visualized in stably transfected human MCF7-lacZ tumors growing in mice. …”
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How fast-and-frugal trees can inform diagnostic and intervention decisions for enhancing elite athlete performance. by Lena Siebert, Lukas Reichert, Lisa Musculus, Laura Will, Ahmed Al-Ghezi, Markus Raab, Karen Zentgraf

“…In conclusion, FFTrees empower decision-makers by efficiently identifying athletes' adaptation potentials.…”
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Sticky plants and plant-based glues: potential for pest control by Thijs V. Bierman, Young H. Choi, T. Martijn Bezemer

“…There are many factors involved in the successful capture of arthropods by sticky plants, including: plant morphology, glue chemistry, the use of visual cues and volatiles to affect arthropod behavior, environmental factors, and adaptations of arthropods in their behavior, morphology, and chemistry to avoid being captured. …”
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SIPEMANDU-GPT: A DIGITAL TRAINING MODEL FOR 21ST CENTURY PE TEACHER PROFESSIONALISM by Fatkhur Rozi, Bambang Priyono, Baskoro Nugroho Putro, Yulia Ratimiasih, Bertika Kusuma Prastiwi, Pungki Indarto

“…Methodology – This study employed a research and development (R&D) approach, adapting the Borg & Gall development model. The initial stage began with a preliminary study through interviews and observations involving KKGOMI teachers in Jepara Regency. …”
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Film Analysis: Raymond Bellour’s Methodology by Kozhokaru Tatiana I.

“…Not only are the analytical tools employed by the French scholar presented as a step-by-step procedure, but they are also displayed in the form of a diagram, which makes it easier to apply in practice and to adapt for different research tasks. The study of R. …”
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Utilizing Footstep Sound Event Detection by Using CNN Techniques for Assuring Property Security by Furkan Y. Yavuz, Nejat Yumusak

“…This sound event-based approach enables a more compact installation and allows for the use of affordable microphones, offering an alternative to visual-based security systems. We propose deep learning based on a convolutional neural network (CNN) algorithm for classification of footstep sound events. …”
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