Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs by Samir Abdaljalil, Hasan Kurban, Rachad Atat, Erchin Serpedin, Khalid Qaraqe

“…We introduce Temporal Structural Graph Anomaly Detection (<sc>T-StructGAD</sc>), an unsupervised framework that leverages Graph Convolutional Gated Recurrent Units (<monospace>GConvGRU</monospace>s) and Long Short-Term Memory networks (<monospace>LSTM</monospace>s) to jointly model both structural and temporal dynamics in graph node embeddings. …”
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Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges by Chanon Dechsupa, Teerapong Panboonyuen, Wiwat Vatanawood, Praisan Padungweang, Chakchai So-In

“…In this paper, we present ENGRU (Enhanced Gated Recurrent Units), a novel deep learning-based approach for formal verification. …”
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Influence of Previous Emergency Department Visit Information on Care of Current Patients by Ricardo X. Noriega, Juan Nañez, Emily Hartmann, Scott B. Crawford, Chantel D. Sloan-Aagard

“…The primary outcome was the influence of knowledge from prior records on interactions during the most recent visit, measured with 11 Likert-scale ratings. Reviewer agreement was used as an indicator of confidence. …”
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The influence of exercise self-efficacy and gender on the relationship between exercise motivation and physical activity in college students by Jiazhi Sheng, Indang Ariati Binti Ariffin, Jacquline Tham

“…Abstract This study examined the relationships among exercise motivation, exercise self-efficacy, and physical activity rating, as well as the role of exercise self-efficacy in the above relationship. …”
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Prevalence and risk factors of the most common multimorbidity among Canadian adults. by Obed Mortey, Gerald Mugford, Kris Aubrey-Bassler, Hensley H Mariathas, Ugochukwu Odimba, Zhiwei Gao

“…The results from multivariate analysis showed that seven factors were significantly associated with increased odds of the MCM, which included increasing age, being retired from work (retired vs not retired), poorer rating of perceived health, (very good, good, poor vs excellent), increasing problems with sleep quality (satisfied, dissatisfied vs neutral), and abnormal body-mass index (underweight, overweight, obese vs normal). …”
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New Programming Modes of Spinal Cord Stimulation for Chronic Pain: A Systematic Review of Outcomes with Burst and High-Frequency Technology by Jeffrey J. Bergman, Derrick A. Dupré, Nestor D. Tomycz

“…Burst SCS and HF10 SCS have been subjected to randomized controlled studies and have used similar patient pain score reporting on a visual analog scale (VAS) and numeric rating scale (NRS). Results from these studies have reported significant reductions in axial back pain and limb pain in patients sustained for up 20 months with burst SCS treatment and up to 36 months with HF10 SCS. …”
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Spatiotemporal evolution and multi-scenario simulation of the land-use cover change and habitat quality in arid and semi-arid areas: a case study of the urban agglomeration along t... by Tianle Ma, Wenhao Cheng, Wenxuan Yao

“…These findings demonstrate (Hall, Wiley on behalf of the Wildlife Society, 1997, 25(1), 173–82) a reduction in ecological land coverage during the previous period, which correlates with a decrease in the mean HQ. The value ratings in 2010, 2015, and 2020 were 0.4919, 0.4730, and 0.4654, respectively. …”
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Cholera-Related Hypochondriasis and Sleep Effort Among Lebanese General Population by Atifa Nazih Kamaleddine, Sondos Mohamad Naous, Sana Ahmad Tantawi, Lama Ali Alhajj, Nafez Nazih Kamaleddine, Sung Woo Joo, Seockhoon Chung

“…All 472 participants completed the e-survey, including rating scales adapted to assess psychological response to cholera: Stress and Anxiety to Viral Epidemic-6 items (SAVE-6), Obsession with COVID-19 scale (OCS), Coronavirus Reassurance-Seeking Behaviors Scale (CRBS), Insomnia Severity Index, Glasgow Sleep Effort Scale, and Patient Health Questionnaire-9 items. …”
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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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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…This research aims to build a cryptocurrency forecasting model with a machine learning-based time series approach using the gated recurrent units (GRU) algorithm. The dataset used is historical Bitcoin closing price data from January 1, 2017, to July 31, 2024. …”
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The Gaseous Blowout of the 30 Doradus Starburst Region in the LMC by Suraj Poudel, April Horton, Jo Vazquez, Kathleen A. Barger, Frances H. Cashman, Andrew J. Fox, Nicolas Lehner, Scott Lucchini, Dhanesh Krishnarao, N. M. McClure-Griffiths, Elena D’Onghia, Jason Tumlinson, Ananya Goon Tuli, Lauren Sdun, Stone Gebhart, Katherine Anthony, Bryce Cole, Jacco Th. van Loon, Julia Roman-Duval, Yik Ki Ma, Callum Lynn, Min-Young Lee, Denis Leahy

“…We estimate an outflow mass of M _outflow, Si _ii  ≈ (5.7–8.6)  × 10 ^5 M _⊙ , outflow rate of ${\dot{M}}_{{\rm{outflow}}}\gtrsim 0.02{M}_{\odot }\,{\,\rm{yr}\,}^{-1}$ , and mass loading factor of η  ≳ 0.10 within Δ θ  ≲ 0 $\mathop{.}…”
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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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Unveiling gender imbalances among PhD students: early inequalities in productivity and impact influenced by supervisor-student gender combinations by Maria Antfolk

“…Even though women earn the same rate of PhD degrees, the gender imbalance becomes increasingly prominent at higher academic levels. …”
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TIME SERIES MODELING OF NATURAL GAS FUTURE PRICE WITH FUZZY TIME SERIES CHEN, LEE AND TSAUR by Dodi Devianto, Aulia Zuardin, Maiyastri Maiyastri

“…The three FTS methods have good performance of accuracy for this time series data, where FTS Tsaur as fuzzy times series approach with average based method shows the best results with the smallest error rate to the data of natural gas future price.…”
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Factors of Fetal Origin in the Regulation of Labor Initiation and Preterm Birth by Yang Pan, Longkun Ding, Lu Gao

“…In order to improve the survival rate and quality of preterm infants, there is critical need to identify the specific mechanisms underlying the initiation of labor. …”
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