Quantitative results of SonoSpeech Cleft Pilot: a mixed-methods pilot randomised control trial of ultrasound visual biofeedback versus standard intervention for children with cleft... by Maria Cairney, Lisa Crampin, Linsay Campbell, Joanne Cleland

“…Results Eight participants were randomised to articulation therapy and eleven to ultrasound. All participants’ data was included for analysis. All but one of the pre-determined criteria for moving to full trial were fully met and the remaining indicator was partially met. …”
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Mapping curvature domains in human V4 using CBV-sensitive layer-fMRI at 3T by Elisa Zamboni, Elisa Zamboni, Isaac Watson, Isaac Watson, Rüdiger Stirnberg, Laurentius Huber, Elia Formisano, Rainer Goebel, Aneurin J. Kennerley, Antony B. Morland, Antony B. Morland, Antony B. Morland

“…IntroductionA full understanding of how we see our world remains a fundamental research question in vision neuroscience. …”
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Identification of Spatial and Symbolic City Image Elements Through Social Media Data: A Case Study of Hangzhou by Jiaqi Wang, Yu Shi, Weishun Xu, Yue Wu

“…Despite emerging empirical findings and computational tools that extend city image research to include social dimensions beyond visual perception, methodologies for effectively identifying and analyzing the relationships between the five city image elements remain underdeveloped. …”
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Artificial Vision Systems for Mobility Impairment Detection: Integrating Synthetic Data, Ethical Considerations, and Real-World Applications by Santiago Felipe Luna-Romero, Mauren Abreu de Souza, Luis Serpa Andrade

“…Moreover, ethical and privacy concerns related to the handling of sensitive visual data remain insufficiently addressed, highlighting the need for robust privacy safeguards, transparent data governance, and effective bias mitigation protocols. …”
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PassAI: An Explainable Machine Learning Framework for Predicting Soccer Pass Outcomes Using Multimodal Match Data by Ryota Takamido, Jun Ota, Hiroki Nakamoto

“…Furthermore, RemOve And Retrain was also performed to verify the faithfulness of the generated explanation, and the visual saliency maps were highly faithful. Although there remains room for improvement from a practical standpoint, the results of this study indicate the potential of explainable multimodal artificial intelligence systems in real-world, high-stakes decision-making environments such as professional sports.…”
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Development of Anatolian cedar forests from the last glacial maximum to the present based on fossil and modern pollen data by Mustafa Doğan

“…After the LGM, as climate conditions shifted, cedar presence varied by location but remained significant in some areas. Modern pollen studies also show a local and fragmented distribution of cedar forests, consistent with fossil pollen data. …”
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LIFE QUALITY OF PERSONS WITH ARTERIAL HYPERTENSION IN RUSSIA — IS THERE RELATION TO TREATMENT? (BY DATA FROM POPULATIONAL STUDY ESSE-RF) by Yu A. Balanova, A. V. Kontsevaya, S. A. Shalnova, A. D. Deev, A. V. Kapustina, S. E. Evstifeeva, G. А. Muromtseva, A. E. Imaeva, S. A. Boytsov

“…Prevalence of AH in Rf remains high. LQ in AH persons is lower than in non-AH (mostly for those  taking AHD). …”
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Analysis and Synthesis of Theoretical and Practical Implications of Case Management Model and Notation by Mateja Bule, Gregor Polančič

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Detecting olive quick decline syndrome: A satellite-based dataset for a case study in Apulia RegionFigshare by Lorenzo Crecco, Danilo Morelli, Elisabetta Raparelli, Mara Di Giulio, Sofia Bajocco

“…Several studies have investigated the potential of remote sensing (RS) technology to monitor OQDS over time and space; however, accurate and reliable data on OQDS occurrence remain scarce. To enhance the distribution data of Xf-infected trees in the Apulia region, we investigated an infection hotspot of 25 km² area in the province of Brindisi, where records of infections were documented in 2019 and 2020. …”
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An Efficient Explainability of Deep Models on Medical Images by Salim Khiat, Sidi Ahmed Mahmoudi, Sédrick Stassin, Lillia Boukerroui, Besma Senaï, Saïd Mahmoudi

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GRLGRN: graph representation-based learning to infer gene regulatory networks from single-cell RNA-seq data by Kai Wang, Yulong Li, Fei Liu, Xiaoli Luan, Xinglong Wang, Jingwen Zhou

“…However, inferring the GRN from scRNA-seq data remains challenging owing to cellular heterogeneity, measurement noise, and data dropout. …”
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Analyzing the Impact of Organic Food Consumption on Citizens Health Using Unsupervised Machine Learning by Giulio Angiolini, Giovanna Maria Dimitri

“…Despite the growing popularity of organic foods, research on their effects on human health, particularly regarding cancer and diabetes, remains limited. While some studies suggest potential health benefits, others yield conflicting results or lack sufficient evidence to draw conclusions. …”
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Exploring the Potential of Refractive NeRFs for Photogrammetric Bathymetry - First Application to UAV-based Data from the Pielach River by A. Günthner, M. Brezovsky, F. Schulte, L. Winiwarter, G. Mandlburger, B. Jutzi

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Unraveling the neural dynamics of mathematical interference in english reading: A novel approach with deep learning and fNIRS data by Zhijie Liang, Ling Wang, Jianyu Su, Bo Sun, Daifa Wang, Juan Yang

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Maintenance of Bodily Expressions Modulates Functional Connectivity Between Prefrontal Cortex and Extrastriate Body Area During Working Memory Processing by Jie Ren, Mingming Zhang, Shuaicheng Liu, Weiqi He, Wenbo Luo

“…<b>Background/Objectives:</b> As a form of visual input, bodily expressions can be maintained and manipulated in visual working memory (VWM) over a short period of time. …”
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EgoSep: Egocentric On-Screen Sound Source Separation for Real-Time Edge Computing by Donghyeok Jo, Jun-Hwa Kim, Jihoon Jeon, Chee Sun Won

“…EgoSep integrates appearance and motion features from visual data with audio features extracted using a U-Net-based encoder, enabling robust separation in dynamic environments. …”
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Neural mechanisms of learned suppression uncovered by probing the hidden attentional priority map by Changrun Huang, Dirk van Moorselaar, Joshua Foster, Mieke Donk, Jan Theeuwes

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Kata selection trends in top-level para-karate competitions: a multi-championship study by Dusana Augustovicova, Radovan Hadza, Adrian Magyar, Debbie Van Biesen, Michal Hruby

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Modeling of Historical Marine Casualty on S-100 Electronic Navigational Charts by Seojeong Lee, Hyewon Jeong, Changui Lee

“…To address this gap, this paper proposes a data model for structuring and visualizing marine casualty information within the S-100 standard. …”
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Analysis of cognitive status of Alzheimer’s disease’s subjects and its association with biomarkers (amyloid beta and tau proteins) using NACC data by Vaghawan Prasad Ojha, Sheida Riahi, Richard Hunt Bobo, Seyedadel Moravveji, Lucien Meteumba, Shantia Yarahmadian

“…Abstract Introduction Despite extensive research on amyloid-beta ( $$A\beta$$ A β ) and tau protein aggregation, the precise role of biomarkers in Alzheimer’s disease (AD) remains ambiguous. We use data provided by National Alzheimer’s Coordinating Center (NACC) to understand the relation between key biomarkers phosphorylated Tau (Ptau $$_{181}$$ 181 ), Amyloid-beta ( $$A\beta _{1-42}$$ A β 1 - 42 ), Total tau (Ttau), their ratios and the cognitive status of subjects. …”
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