Spatial distribution of poverty in Pakistan: an asset-based approach by Kifayat Ullah, Muhammad Zubair Chishti

“…Abstract The main objective of this study is to construct a valid and reliable asset index at household level by using NSER-BISP data in order to compute asset poverty for provinces, districts, and tehsils of the Pakistan. …”
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Singers of the high Arctic; Seasonal acoustic presence of bowhead whales (Balaena mysticetus) around Svalbard, Norway by Luca Wams, Kit M. Kovacs, Christian Lydersen, Ulf Lindstrøm, Dag Tollefsen, Heidi Ahonen

“…In this study, passive acoustic data recorded between 2017 and 2022 at six locations around the Svalbard Archipelago, Norway, were analysed for the seasonal and spatial vocal occurrence of this endangered bowhead whale stock, using a combination of Long-Term Spectral Averages and visual/auditory verification. …”
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A Topological Framework for Interactive Queries on 3D Models in the Web by Mauro Figueiredo, José I. Rodrigues, Ivo Silvestre, Cristina Veiga-Pires

“…With X3D, WebGL, and X3DOM, it is possible to visualize and interact with 3D models in a web browser. …”
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“Funny Weapons”: The Norms of Humour in the Construction of Far‐Right Political Polarisation by Gabriel Bayarri Toscano, Concepción Fernández-Villanueva

“…Between September 2022 and February 2024, in the weeks leading up to and following each presidential election, we collected and analysed visual data employing open‐source software. We also conducted ethnographic fieldwork and digital ethnography during the weeks preceding the elections to capture online and offline discourses and the affective milieu of each electoral campaign, providing contextual insight into the impact of memetic communication. …”
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Evolution of eye morphology and rhodopsin expression in the Drosophila melanogaster species subgroup. by Nico Posnien, Corinna Hopfen, Maarten Hilbrant, Margarita Ramos-Womack, Sophie Murat, Anna Schönauer, Samantha L Herbert, Maria D S Nunes, Saad Arif, Casper J Breuker, Christian Schlötterer, Philipp Mitteroecker, Alistair P McGregor

“…The number of ommatidia and their size are major determinants of the visual sensitivity and acuity of the compound eye. …”
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Work-Related Risk Factors for Asthenopia Among Employees: A 2024 Study by Tiara putri Pratami

“…A cross-sectional analytical design was employed, involving 61 respondents. Data were collected using a structured questionnaire to assess variables such as age, sex, years of employment, eye rest habits, and duration of computer or laptop use. …”
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A comparative study on the fashion design process utilizing shape memory textiles and conventional textiles: implications for the industry and education by Shin Young Jang, Chahong Chung, Jisoo Ha

“…Major challenges included defining and classifying smart textiles including SMTs, visualizing shape-changing properties, and a lack of practical experience with these innovative materials. …”
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Refining Transmission Map and Air Light for Efficient Single Image Dehazing by Yucel Cimtay, Gokce Nur Yilmaz

“…Although, deep learning models perform better than traditional methods on the validation data of the specific dataset which they are trained with, the generalization performance of deep learning models is generally poor. …”
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Removal of Hazardous Methylene Blue from Aqueous Solutions by Green Citrus Mold (Penicillium digitatum)@Chitosan Hydrogel Beads by Erol Pehlivan, Şerife Parlayıcı

“…The pH range, between pH 6 and pH 8, was shown to be the optimal range for attaining optimum removal effectiveness. The thermodynamic data indicated that an exothermic, spontaneous reaction occurred between the MB molecules and the composite. …”
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Bridging conceptual understanding and mathematical representation through game-based cuboid learning in junior high school by Ulfa Latifa, Peti Indrasari, Surya Amami Pramuditya, Sri Asnawati

“…The findings revealed that while some students found it easier to grasp concepts through visual exploration, others struggled to apply these concepts flexibly beyond the game. …”
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CO2 adsorption on microporous metal–organic frameworks unravelled by high-resolution X-ray computed tomography by Diponker Karmoker, Jorge Martinez-Garcia, Damian Gwerder, Benjamin Fumey, Andreas Borgschulte, Philipp Schuetz

“…The collected imaging data is used to calculate the effective permeability along the MOF’s particle through numerical simulations. …”
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Counting the Cost of Diabetes in the Solomon Islands and Nauru. by Si Thu Win Tin, George Iro, Eva Gadabu, Ruth Colagiuri

“…Quality of life was measured by the EQ-5D Visual Analogue Scale.<h4>Results</h4>There were 330 respondents (50% female; mean duration of diabetes 10.9 years; mean age 52.6 years). …”
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Research on improving urban park green space landscape quality based on public psychological perception: a comprehensive AHP-TOPSIS-POE evaluation of typical parks in Jinan City by Qingtao Cheng

“…This method validates its feasibility by converting subjective perceptions into objective data. The research findings are as follows: (1) Urban park green space landscapes are significantly correlated with public psychological recovery; (2) The weight ranking of the criteria layer is as follows: Landscape Perception (B4) 0.5135 &gt; Social Interaction (B3) 0.3015 &gt; Spatial Form (B2) 0.1244 &gt; Visual Quality (B1) 0.0606; (3) The relative closeness ranking of the four typical urban parks in Jinan City is as follows: Qianfoshan Park &gt; Quancheng Park &gt; Daming Lake Park &gt; Baotu Spring Park. …”
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Neural networks for the analysis of traced particles in kinetic plasma simulations by G. Torralba Paz, A. Bohdan, J. Niemiec

“…Tracing of individual particles in such simulations is especially useful in this regard. However, visually inspecting particle trajectories introduces a significant amount of bias and uncertainty, making it challenging to pinpoint specific acceleration mechanisms. …”
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A Systematic Review of CNN Architectures, Databases, Performance Metrics, and Applications in Face Recognition by Andisani Nemavhola, Colin Chibaya, Serestina Viriri

“…Older databases, such as ORL and FERET, are smaller and cleaner, while newer datasets enable large-scale training with millions of images but pose challenges like inconsistent data quality and high computational costs. The study also examines CNN architectures, including FaceNet and Visual Geometry Group 16 (VGG16), which show strong performance on large datasets like Labeled Faces in the Wild (LFW) and VGGFace, achieving accuracy rates above 98%. …”
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Genes that act downstream of sensory neurons to influence longevity, dauer formation, and pathogen responses in Caenorhabditis elegans. by Marta M Gaglia, Dae-Eun Jeong, Eun-A Ryu, Dongyeop Lee, Cynthia Kenyon, Seung-Jae Lee

“…In agreement with existing genetic data, the expression of genes regulated by the transcription factor DAF-16/FOXO was affected by daf-10 mutations. …”
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Exploring how Japanese pharmacists provide reasonable accommodations for persons with intellectual disabilities by Masaki Shoji, Rintaro Imafuku, Mei Mizomoto, Mitsuko Onda

“…Interviews were conducted either in person or online, each lasting 30–60 min. Data were analyzed using a thematic analysis approach. …”
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Personality traits prediction based on eye movements while reading manga by Yuichi Wada

“…BackgroundPrevious studies utilizing machine learning methods have demonstrated that personal traits can be predicted from eye movement data recorded in real-world situations, such as navigating a university campus or browsing one’s Facebook news feed. …”
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Short-billed Dowitcher (Limnodromus griseus hendersoni) nesting habitat preferences and climate change implications in Churchill, Manitoba, Canada by Lucie Le Tallec, Olivia Maillet, Lars Westerberg, Erica Nol

“…Presence locations were acquired by intensive nest surveys from 2021 to 2023. Terrain data, acquired via remote sensing, were used as environmental predictors. …”
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A Novel Design and Implementation of a Surface Sediment Sampling Robot by Luis Gonzalo Gallegos Vicente, Jymmy Alexander Gonzales Cordova, Jorge Leonardo Huarca Quispe, Juan Carlos Cutipa Luque, Juan Pablo Julca Avila

“…The robot’s primary function is to enhance traditional sampling techniques and ensure precise data for environmental assessment. The robot’s working principle involves being manually placed at the sampling point, where it descends under its own weight through the water column until reaching the sediment bed. …”
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