Assessment of Tourism Development in Belarus: A Comprehensive Analysis of Infrastructure, Cultural Heritage and Natural Resources by Viktoryia Kauchun, Anna Michalska, Walery Zukow

“…Results: The findings indicate moderate tourism development in Belarus (39% rated it as average, 42% as high). Infrastructure quality shows significant regional variation (χ2(4)=31.50, p<0.001, V=0.56). …”
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Is guideline-driven prophylaxis for venous thromboembolism common practice in the South African private hospital setting? by Melissa van der Merwe, Marlene Julyan, Jesslee M. du Plessis

“…This study evaluated prescribing patterns of VTE prophylaxis in one of the largest South African (SA) private hospital groups. …”
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Muscle Activity Onset Prior to Landing in Patients after Anterior Cruciate Ligament Injury: A Systematic Review and Meta-Analysis. by Daniel Theisen, Isabel Rada, Amélie Brau, Paul Gette, Romain Seil

“…Six studies meeting inclusion criteria underwent quality assessment, data extraction and re-computing procedures for the meta-analysis. The quality was rated "moderate" for 2 studies and "poor" for 4. …”
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Reading English-Language Haiku: Processes of Meaning Construction Revealed by Eye Movements by Hermann J Mueller, Thomas Geyer, Franziska Günther, Jim Kacian, Stella Pierides

“…To examine this process, we recorded readers’ eye movements, and we obtained measures of memory for the read poems as well as subjective ratings of comprehension difficulty and understanding achieved. …”
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Image Quality Assessment of Augmented Reality Glasses as Medical Display Devices (HoloLens 2) by Simon König, Simon Siebers, Claus Backhaus

“…HoloLens 2 was assessed for overall image quality, luminance, grayscale consistency, and color uniformity. Five participants rated the TG18-OIQ pattern under ambient lighting conditions of 2.4 and 138.7 lx. …”
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I-AIR: intention-aware travel itinerary recommendation via multi-signal fusion and spatiotemporal constraints by Xiao Cui, Zhihua Wang, Ping Li, Qiang Xu

“…Additionally, many approaches decouple POI selection from itinerary construction and depend heavily on limited behavioral signals, failing to capture richer feedback such as ratings, dwell times, or click histories. To address these limitations, we propose an intention-aware deep learning framework that integrates diverse user signals into a unified itinerary planning model. …”
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Probing the Impact of Seed Coat Removal on the Germination Performance of Bitter Gourd (<i>Momordica charantia</i>) Using an Image Analyzer by Roopashree Byregowda, Nethra Nagarajappa, Kadurappa Madhusudan, Thimmappa Krishnappa Nagarathna, Sharankumar Ashok Kesaratagi

“…This was shown as a correlation between the mean germination rate and the perimeter of seeds.…”
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Visible Light Channel Modeling for Gas Pipelines by Farshad Miramirkhani, Murat Uysal, Omer Narmanlioglu, Mohamed Abdallah, Khalid Qaraqe

“…We further investigate the maximum achievable link range to ensure a given bit error rate.…”
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Genetic evolution, epidemic trends, and recombination dynamics of PRRSV-1 in China by Chengzhen Weng, Chengzhen Weng, Chengzhen Weng, Xinxin Huang, Xinxin Huang, Xinxin Huang, Zhian Chen, Zhian Chen, Minjia He, Minjia He, Minjia He, Beiwen Zhang, Beiwen Zhang, Beiwen Zhang, Hongxi Li, Hongxi Li, Hongxi Li, Jingrui Xie, Jingrui Xie, Meichun Chen, Meichun Chen, Meichun Chen, Longxin Qiu, Longxin Qiu, Xiaobing Li, Xiaobing Li, Chong Cao, Chong Cao, Hongbo Chen, Hongbo Chen

“…The persistent threat of porcine reproductive and respiratory syndrome virus (PRRSV) to the global swine industry is exacerbated by the virus’s high mutation rate and frequent recombination events. In China, the emergence of new PRRSV-1 strains in recent years has posed a significant challenge to the sustainability of pork production. …”
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Finger Vein Recognition Using Optimal Partitioning Uniform Rotation Invariant LBP Descriptor by Bang Chao Liu, Shan Juan Xie, Dong Sun Park

“…In this paper, we proposed two block selection methods which are based on the estimate of the amount of information in each block and the contribution of block location by looking at recognition rate of each block position to reduce feature extraction time and matching time. …”
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Biogeochemical responses to water management: Insights from the regulated Geum River, Korea by Min-Young Lee, Tae-Hoon Kim, Yongwon Kim, Hyebin Kim, Tae-Woo Kang, Sung-Eun Park

“…We compared conditions during August 2021 (gate-closing) and August 2022 (gate-opening), periods with starkly different residence times (3.5 vs. 0.5 days) that resulted in distinct biogeochemical dynamics. …”
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Bifurcation analysis of multistability and hysteresis in a model of HIV infection by I. V. Mironov, M. Yu. Khristichenk, Yu. M. Nechepurenko, D. S. Grebennikov, G. A. Bocharov

“…The macrophage activation rate constant is considered as a bifurcation parameter. …”
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Cervical malignant peripheral nerve sheath tumors: A case report and literature review by SUN Shuohui, LIU Qinyao, MA Junli, LI Xiao, WANG Zhifa

“…As a kind of tumor with a high degree of malignancy, the recurrence rate of MPNST is determined by the design of surgical method, the size of resection, and whether to further radiotherapy and chemotherapy after surgery.…”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Finally, multiple experiments under different conditions are conducted, and the results demonstrate that the proposed CGKAN method, by integrating the individual advantages of 1D-CNN, BiGRU, and KAN, efficiently captures complex nonlinear patterns in battery health features and maintains stable performance across various operating conditions.…”
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Application of Image Processing Technology in the Diagnosis of Football Injury by Liyun Xu, Zhubo Xu

“…Among them, the sensitivity of pattern recognition based on image processing can reach 68.9%, and the detection rate of football injuries can also be maintained at about 81.2%. …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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Attachment Theory and Physical Well-Being by Mikhail Yu. Kozlov

“…Unsafe internal attachment patterns have a negative impact on the development of a wide range of somatic pathologies, primarily cardiovascular and immune systems, and impaired functioning of the HPA axis, mediated by associative anxiety. …”
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Mental Health in the Age of Hyperconnectivity: A Crisis Hidden in Plain Sight by Sitara Ejaz, Hafiz Muhammad Haseeb Khaliq

“…Young people are experiencing increasing levels of anxiety, depression, and loneliness at an alarming rate. Serious damage to emotional health stems from the pervasive information overload and social envy people experience through their constant online connection 3. …”
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