High-efficiency sparse convolution operator for event-based cameras by Sen Zhang, Fusheng Zha, Fusheng Zha, Xiangji Wang, Mantian Li, Wei Guo, Pengfei Wang, Xiaolin Li, Lining Sun

“…However, despite their inherent sparsity, most existing visual processing algorithms are optimized for conventional standard cameras and dense images captured from them, resulting in computational redundancy and high latency when applied to event-based cameras. …”
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The medial prefrontal cortex as a proposed regulatory structure in the relationship between anxiety and perceived social support: a review by D. A Navarro-Nolasco, D Chi-Castañeda, M. L López-Meraz, L Beltran-Parrazal, C Morgado-Valle

“…Anxiety disorders are the most common group of mental health disorders and have a substantial impact on individuals' well-being. …”
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Catheter-associated urinary tract infection reduction in critical care units: a bundled care model by Stephanie Grana Van Decker, Nicholas Bosch, Jaime Murphy

“…A CAUTI taskforce convened and reviewed process maps and gap analyses. Based on Centers for Disease Control and Prevention (CDC) and Institute for Healthcare Improvement (IHI) guidelines, and delineated by the Healthcare Infection Control Practices Advisory Committee 2009 guidelines, all BMC ICUs sequentially implemented plan–do–study–act cycles based on which measures were most easily adaptable and believed to have the highest impact on CAUTI rates. …”
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Monitoring Fast-Growing Megacities in Emerging Countries Through the PS-InSAR Technique: The Case of Addis Ababa, Ethiopia by Eyasu Alemu, Mario Floris

“…The main aim of this study is to identify and monitor the areas most affected by subsidence in a context, such as that of many areas of emerging countries, characterized by the lack of geological and technical data. …”
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Spatially distributed effects of mental exhaustion on resting-state FMRI networks. by Fabrizio Esposito, Tobias Otto, Fred R H Zijlstra, Rainer Goebel

“…Significant changes in the most exhausted state were observed in the early visual processing and the anterior default mode networks (enhancement) and in the fronto-parietal executive networks (suppression), suggesting that mental exhaustion is associated with a more idling brain state and that internal attention processes are facilitated to the detriment of more extrinsic processes. …”
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Machine Learning-Based Pain Intensity Estimation: Where Pattern Recognition Meets Chaos Theory—An Example Based on the BioVid Heat Pain Database by Peter Bellmann, Patrick Thiam, Hans A. Kestler, Friedhelm Schwenker

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Thermal Conductive Polyamide-6/Polyolefin Elastomer/Aluminum Nitride/Aluminum Oxide Composites by Marjan Shahmir, Shervin Ahmadi, Hassan Arabi

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Reward-related neural activation during social media exposure in young women with non-suicidal self-injury: evidence for a continuum of severity in the reward network by Stella Nicolaou, Anna Julià, Daniela Otero, Carlos Schmidt, Juan Carlos Pascual, Joaquim Soler, Josep Marco-Pallarés, Daniel Vega

“…Abstract Individuals with non-suicidal self-injury (NSSI) may be particularly vulnerable to social media exposure, yet the extent to which this vulnerability is linked to altered reward processing remains unclear. To address this gap, we investigated social media-related reward processing in NSSI by recruiting ninety-one young women, divided into three groups: a clinical group (NSSI with borderline personality disorder), a subclinical group (NSSI without co-occurring disorders), and a healthy control group. …”
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Multi-decadal change detection of coastal dune landscapes using different supervised image classification algorithms by Ryan Theodore BENADE, Aune KAMOSHO, Lutobohile Ivonne MAKANDO, Oluibukun Gbenga AJAYI

“…This study investigates changes in these dynamic and fragile landscapes over a 30-year period (1994-2024) by comparing the performance of four supervised image classification algorithms: Maximum Likelihood, Minimum Distance, Spectral Angle Mapping, and Random Forest. Landsat 5 and 8 images for four epochs (1994, 2004, 2014, 2024) were pre-processed in QGIS, and classification was performed using the Semi-Automatic Classification Plugin (SCP). …”
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Rain-Induced Shallow Landslide Susceptibility Under Multiple Scenarios Based on Effective Antecedent Precipitation by Chuanmei Cheng, Ying Li, Dong Zhu, Yu Liu, Yongqiu Wu, Degen Lin, Hao Guo

“…However, due to the lag nature of this process, landslides usually do not occur on the day of heavy rainfall. …”
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The (temperature-dependent) Raman spectra of some traditional semiconductors by A.R. Zanatta

“…Based on these spectra, all phonon modes were identified and the most prominent ones were analyzed in terms of their peak position (ω) and line-width (γ), in the 83−823 K temperature range, as obtained from fitting the spectra with Voigt functions. …”
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Mathematical modeling, drying kinetics, and economic analysis of a hybrid photovoltaic thermal solar dryer for henna leaves by Abdallah Elshawadfy Elwakeel, Awad Ali Tayoush Oraiath, Tarek Hussien M. Ghanem, Ahmed Elbeltagi, Ali Salem, Ahmed Z. Dewidar, Abdelaziz M. Okasha, Abadeer Habib, Tamer M. El-Messery, Moustapha Eid Moustapha, Khaled A. Metwally

“…Current research on henna processing reveals a significant gap in drying engineering studies, creating a critical barrier to process optimization and quality enhancement. …”
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Applications of Snow-Covered Areas from Unoccupied Aerial Systems (UAS) Visible Imagery: A Demonstration in Southeastern New Hampshire by Jeremy M. Johnston, Jennifer M. Jacobs, Adam Hunsaker, Cameron Wagner, Megan Vardaman

“…Remote sensing observations of snow-covered areas (SCA) are important for monitoring and modeling energy balances, hydrologic processes, and climate change. For an agricultural field, we produced 12 snow cover maps from UAS imagery during an approximately 3-week-long spring snowmelt period. …”
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A novel methodological approach to SaaS churn prediction using whale optimization algorithm. by Muhammed Kotan, Ömer Faruk Seymen, Levent Çallı, Sena Kasım, Burcu Çarklı Yavuz, Tijen Över Özçelik

“…Results show that WOA-reduced datasets improve processing efficiency and outperform full-variable datasets in predictive performance. …”
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Differences in Cognitive and Mathematical Skills of Students with a Mathematical Learning Disability and Those with Low Achievement in Mathematics: A Systematic Literature Review by Triin Kivirähk-Koor, Evelyn Kiive

“…This systematic literature review aimed to fill this gap. This study revealed differences in the cognitive profiles of students with a mathematical learning disability and low-achieving students. …”
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Determinants of Highland Bamboo (Yushania alpine) Culm Market Supply in Semen Ari District, South Omo Zone of Southern Ethiopia by Mintesnot Tsegaye, Asmera Adicha, Tefera Belay

“…Bamboo is among the most significant nontimber forest products that can potentially support Ethiopia’s economic development and environmental protection. …”
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eCOTS: Efficient and Cooperative Task Sharing for Large-Scale Smart City Sensing Application by Qingyu Li, Panlong Yang

“…With the pervasive use of mobile devices and increasingly computational ability, more concrete and deeper collaborations among mobile users are becoming possible and needed. However, most of the studies fail to consider load balancing requirement among mobile users. …”
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Making sense of transformer success by Nicola Angius, Pietro Perconti, Alessio Plebe, Alessandro Acciai

“…After introducing the Transformer architecture, at the basis of most of current NLMs, the paper firstly emphasizes how the central question in the philosophy of AI has been shifted from “can machines think?”…”
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Evaluation of Landslide Susceptibility Zonation applying Fuzzy Gamma Operators in Taleghanroud Watershed of Qazvin Province by Jamal Mosaffaie, Amin Salehpour Jam, Faramarz Sarfaraz, Samad Shadfar

“…Landslide is one of the most destructive types of erosion on slopes, which causes a lot of financial and human losses. …”
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Structural modelling of subsurface geologic structures in Anambra and adjoining Bida Basins using aeromagnetic data: Implications for mineral explorations.

“…Four aeromagnetic data sheets (246 (Kabba), 247 (Lokoja), 266 (Auchi), and 267 (Idah)) were acquired through purchase, assemblage, analysis, and interpretation using integrated processing techniques of Euler deconvolution, analytical signal (AS), source parameter imaging (SPI), and 3D magnetic inversion model. …”
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