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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Navigating Pathways in Prostate Cancer Survivorship: A Comprehensive Review of Challenges, Interventions, and Long-Term Outcomes by Anthony Galvez, Dhruv Puri, Elizabeth Tran, Kassandra Zaila Ardines, Yahir Santiago-Lastra

“…Advances in screening, early detection, and therapeutic innovations have significantly improved survival rates, transforming prostate cancer into a chronic condition for many men. …”
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Optimization of Electric Transformer Operation Through Load Estimation Based on the K-Means Algorithm by Pedro Torres-Bermeo, José Varela-Aldás, Kevin López-Eugenio, Nancy Velasco, Guillermo Palacios-Navarro

“…These estimated curves are integrated into a process that calculates technical losses, both no-load and load losses, for different transformer sizes, selecting the optimal rating that minimizes losses without compromising demand. …”
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Analysis of Changes in Vegetation Cover Using Satellite Images of Sorok Island in Republic of Korea by Hyungjin Cho, Seungnam Jin, Jong-Seo Won, Youngjun Park

“…This study aims to compare and analyze the past and present vegetation changes on Sorok Island using satellite imagery to understand the current development patterns that damage the island's unique ecological and environmental characteristics. …”
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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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Dataset for Traffic Accident Analysis in Poland: Integrating Weather Data and Sociodemographic Factors by Łukasz Faruga, Adam Filapek, Marta Kraszewska, Jerzy Baranowski

“…Road traffic accidents remain a critical public health concern worldwide, with Poland consistently experiencing high fatality rates—52 deaths per million inhabitants in 2023, compared to the EU average of 46. …”
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Media exposure to maternal health trauma: A qualitative study on its effects on Black women's mental health by Diane B. Francis, Nadia Kyeremeh, Nia F. Mason, Soroya Julian McFarlane, Kallia O. Wright

“…Black women experience disproportionately higher rates of death, illness, and mental health issues during and after pregnancy. …”
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Group attention for collaborative filtering with sequential feedback and context aware attributes by Hadise Vaghari, Mehdi Hosseinzadeh Aghdam, Hojjat Emami

“…However, due to individual variations in rating patterns and dynamic interplays of item attributes, it becomes challenging to model user preferences accurately. …”
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Buddhist Principles in Urban Livability Assessment: A Thematic Analysis of Integration Approaches in Contemporary Research (2015-2024) by Kiatanantha Lounkaew

“…The research identifies implementation challenges and opportunities across regions, with traditionally Buddhist areas showing higher adoption rates, though principles remain universally applicable. …”
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Deep Learning Multi-Modal Melanoma Detection: Algorithm Development and Validation by Nithika Vivek, Karthik Ramesh

“…Model reliability was assessed by visualizing the output activation map of each model and comparing the diagnosis patterns to that of dermatologists. The addition of metadata to the image dataset was key to reducing the false-negative and false-positive rates simultaneously, thereby producing better metrics and improving overall model accuracy. …”
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Mechatronic Test Bench Used to Simulate Wind Power Conversion to Thermal Power by Means of a Hydraulic Transmission by Victor Constantin, Ionela Popescu, Mihai Avram

“…The initial work allowed us to obtain different temperatures of the hydraulic oil, up to 60 °C, over a period of 30 min, for various pressures and flow rates, thus confirming that the system is functional overall. …”
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Measurement of food sensitivity with special reference to food properties in children with autism spectrum disorder by Rameen Sameer, Beenish Israr, Aqsa Inam, Hafiza Kinza Javed

“…The Childhood Autism Rating Scale (CARS) was used to assess behavioral responses and food acceptance. …”
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TECTONOPHYSICAL RESEARCH AT INSTITUTE OF THE EARTH’S CRUST SB RAS: MAJOR ACHIEVEMENTS AND ACTUAL PROBLEMS by Semen I. Sherman, Konstantin Zh. Seminsky

“…Internal structures of faults are studied; stages in faulting are generally defined in terms of time; regularities of patterns of joints inside faults are described; and original methods of mapping such joints are proposed to reveal tectonic conditions of faulting.Based on seismic monitoring, new methods of quantitative assessment of relative activity rates of faults in real time are developed. …”
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Comparative Analysis of All-cause and Cardiovascular Mortality in Moscow and Irkutsk by F. I. Belyalov, I. V. Samorodskaya, S. V. Pogodaeva

“…Cardiovascular diseases were dominated in the mortality patterns of the compared cities: 47% in Irkutsk, 64% in Moscow. …”
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Breeding‐Related Changes in Social Interactions Among Female Vulturine Guineafowl by Tobit Dehnen, Brendah Nyaguthii, Wismer Cherono, Neeltje J. Boogert, Damien R. Farine

“…Despite a limited sample size, our study reveals that reproduction can have nuanced trade‐offs with dominance and suggests that the study of dominance may benefit from explicitly considering variation in interaction rates as an additional factor affecting individuals.…”
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Presentation time shapes perceived room size in visual and auditory modalities by Johanna Bogon, Cindy Jagorska, Ella Maria Heinz, Martin Riemer

“…As time judgments were consistently rated as more difficult relative to space judgments, this pattern of interference cannot be explained on the basis of task difficulty. …”
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Variation of herbivory damage on potato (Solanum tuberosum ssp. andigena) leaves in different degrees of proximity to native vegetation in Combaya, La Paz by Emili Antonia Jiménez

“…High herbivory rates are related to the emergence of new pests and are a problem for plants of commercial interest, such as potato (Solanum tuberosum). …”
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AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis by Esther Ugo Alum

“…The advancement of biomarker discovery methodologies with AI seeks to transform cancer by improving patient survival rates through enhanced early diagnosis and targeted therapy. …”
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Near viewing behaviors predict educational system in a machine learning model by Ravid Doron, Einat Shneor, Lisa A. Ostrin, Ariela Gordon-Shaag, Ayelet Goldstein

“…Abstract Intensive education systems are believed to contribute to high rates of myopia. This study examined whether near-viewing behaviors in college students differ based on their pre-college educational systems and whether these behaviors can be used to classify students’ educational background using machine learning. …”
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