Investigating the Effects of Neurofeedback Training on Psychological Variables in Women With Non-specific Chronic Back Pain: A Randomized Controlled Trial by Ali Yalfani, Azadeh Asgarpoor

“…Pain intensity, disability, and kinesiophobia were assessed via the visual analog scale, the Oswestry disability index, and the Tampa scale. …”
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Global research trends and prospects on immune-related therapy in ischemic stroke: a bibliometric analysis by Qi Wang, Lei Yuan, Fei Wang, Fei Sun

“…Investigating the functions and regulation of these cells, particularly immune cells, deepens our understanding of the complex mechanisms of neuroinflammation and immune modulation after ischemic stroke and provides new perspectives and methods for immune-related therapy.MethodsThe annual distribution, journals, authors, countries, institutions, and keywords of articles published between 2015 and 2024 were visualized and analyzed using CiteSpace and other bibliometric tools.ResultsA total of 1,089 relevant articles or reviews were included, demonstrating an overall upward trend; The terms “cerebral ischemia,” “immune response,” “brain ischemia,” “cerebral inflammation,” “neurovascular unit,” and “immune infiltration,” etc. are hot keywords in this field.ConclusionIn recent years, research on immune-related therapy for ischemic stroke has focused on mechanisms of occurrence, protection and repair of the blood-brain barrier (BBB) by non-neuronal cells, and regulation of immunosuppression and inflammation. …”
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Improving LUR testing accuracy and practicability for prestressed concrete sleepers through bending stiffness and visco-plastic deflection-based analysis techniques by Ferhat Çeçen, Bekir Aktaş, Hakan Öztürk, İrfan Ş. Öztürk, M. Burhan Navdar

“…Key modifications, such as standardized waiting times and enhanced measurement techniques, were incorporated to improve accuracy and consistency. The proposed method allows for precise estimation of critical capacity values, including decompression load and first crack formation, without the need for visual inspection, making it more reliable than current standards. …”
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UniFlow: Unified Normalizing Flow for Unsupervised Multi-Class Anomaly Detection by Jianmei Zhong, Yanzhi Song

“…In this work, we propose a powerful unified normalizing flow for multi-class anomaly detection, which we call UniFlow. A multi-cognitive visual adapter (Mona) is employed in our method as the feature adaptation layer to adapt image features for both the multi-class anomaly detection task and the normalizing flow model, facilitating the learning of general knowledge of normal images across multiple categories. …”
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Food digital marketing on social media: trends and strategies of Brazil’s leading meal delivery app by Paloma Aparecida Anastacio Barros, Juliana de Paula Matos, Michele Bittencourt Rodrigues, Renata Júlia da Costa, Paula Martins Horta

“…ObjectiveTo analyze digital marketing trends of Brazil’s leading meal delivery application (MDA) company on Facebook (FB) and Instagram (IG) from 2011 to 2022.MethodsThis exploratory, longitudinal, and mixed-methods study examined a 10% sample of all posts published by this company during the study period. …”
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Image–Text (IT)-Prompt: Prompt-Based Learning Framework Empowered by the Cluster-Based Nearest Class Mean (C-NCM) for Rehearsal-Free Contrastive Language–Image Pretraining (CLIP)-B... by Li Jiao, Wenlong Fu, Xiaolu Chen

“…To address these issues, we propose the Image–Text (IT-)Prompt method, which leverages the inherent correlation between visual and textual information to train discrete prompts dedicated to individual tasks, serving as repositories for task-specific knowledge. …”
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Innovation and testing in general practitioners’ practice – the challenging path from idea to new practice by Tore Norendal Braathen, Toril Thorvaldsen Dale, Randi Brendbekken, Irene Øyeflaten

“…Aims General practitioners (GPs) need tools and working methods to deal with sick listed patients’ multifaceted needs as well as to collaborate with stakeholders such as the employer or the social welfare counsellor. …”
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Copy-move forgery detection using binary discriminant features by Priya Mariam Raju, Madhu S. Nair

“…The method is an integration of the conventional block-based and keypoint based methods. …”
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Radiative cooling textiles using industry-standard particle-free nonporous micro-structured fibers by Catrysse Peter B., Fan Shanhui

“…Here, we demonstrate the design and implementation of large-scale radiative cooling textiles for localized cooling management and enhanced thermal comfort using industry-standard particle-free nonporous micro-structured fibers that are fully compatible with standard textile materials and production methods. The micro-structured fibers, yarns and fabrics are part of a hierarchical photonic structure design that renders the textiles highly infrared transparent (up to > 0.8) while assuring visual opacity (up to 0.99). …”
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Toward unsupervised building extraction from very high-resolution remote sensing images using SAM and CLIP by Chenxiao Zhang, Peng Yue

“…Next, we present a hybrid feature fusion network that combines CLIP patch tokens with task-specific features, achieving high data adaptability while maintaining text-related visual features. Extensive experiments demonstrate that our proposed method achieves F1 scores of 56.00% and 62.53% on the Manhattan and WHU Building datasets, respectively, outperforming or matching supervised methods that require 700 training samples. …”
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The Role of Social Media in Promoting Volunteer Initiatives and Shaping Communities by Iefimova Ganna V., Pashchenko Kseniia O.

“…Special attention is given to studying strategies for the efficient use of social media for volunteer activities, including methods of engagement, audience interaction, and building public trust. …”
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Estimating Self-Confidence in Video-Based Learning Using Eye-Tracking and Deep Neural Networks by Ankur Bhatt, Ko Watanabe, Jayasankar Santhosh, Andreas Dengel, Shoya Ishimaru

“…The achieved outcomes demonstrated that the LSTM model outperformed conventional hand-crafted feature-based methods, achieving the highest accuracy of 76.9% with Leave-One-Category-Out Cross-Validation (LOCOCV) and 70.3% with Leave-One-Participant-Out Cross-Validation (LOPOCV). …”
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Peculiarities of surgical technique using a capsule ring for intra-capsular fixation of IOL in children with congenital subluxation of the lens by L. A. Katargina, T. B. Kruglova, N. S. Egyian, N. N. Arestova

“…The aim of the work is to develop a differentiated method of surgical treatment of children with congenital ectopia of the lens using a capsule ring and intra — capsule fixation of IOL.Material and methods. 15 children (28 eyes) at the age of 5–8 years with congenital ectopic lens I–III degree with the syndrome of Marfan, Weil — Marchesani, homocystinuria and isolated pathology were operated. …”
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The Role of Hydrocolonic Sonography in Diagnostics of the Intussusceptions due to Neoplastic Process in Children by M Yu. Yanitskaya, I. A. Turabov

“…The hydrocolonic sonography technique makes it possible to assess the tissue structure and to visualize the lumen of the intestine.Materials and methods. …”
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From communication to action: using ordered network analysis to model team performance in clinical simulation by Vitaliy Popov, Lauryn R. Rochlen

“…Abstract Background Effective team communication is crucial for managing medical emergencies like malignant hyperthermia (MH), but current assessment methods fail to capture the dynamic and temporal nature of teamwork processes. …”
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Depth-Induced Intra-to-Inter Transformer network for stereoscopic image retargeting by Xiaoting Fan, Long Sun, Zhong Zhang

“…With the advancement of three-dimension visual applications, stereoscopic image editing technologies have attracted widespread popularity in both industry and entertainment. …”
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Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms by Chukwutem Pinic Ufeli, Mian Usman Sattar, Raza Hasan, Salman Mahmood

“…Traditional clustering methods often struggle with datasets containing both numerical and categorical variables, leading to suboptimal segmentation. …”
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Non-Invasive Localization of Epileptogenic Zone in Drug-Resistant Epilepsy Based on Time–Frequency Analysis and VGG Convolutional Neural Network by Yaqing Liu, Yalin Wang, Tiancheng Wang

“…This study constructed a non-invasive epilepsy localization method, integrating sLORETA source imaging, time–frequency analysis, and Visual Geometry Group (VGG-16) deep learning. …”
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Determination of bean resistance to anthracnose pathogen – Colletotrichum lindemuthianum Br. et Cav by A. M. Pashkevich, A. I. Tchaikovsky, N. V. Medved

“…Phytopathological assessment of plant infectivity was carried out on the basis of visual and instrumental methods, taking into account the reaction of plants and the intensity of the lesion, in the conditions of a natural infectious background in the phase of technical ripeness.Results. …”
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Bridging Cities and Citizens with Generative AI: Public Readiness and Trust in Urban Planning by Adnan Alshahrani

“…However, involving the public in urban planning remains complex, with traditional methods often proving expensive, time-consuming, and inaccessible to many groups. …”
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