Deep Learning-Based Anomaly Detection in Occupational Accident Data Using Fractional Dimensions by Ömer Akgüller, Larissa M. Batrancea, Mehmet Ali Balcı, Gökhan Tuna, Anca Nichita

“…These findings suggest that integrating VAE models with appropriate fractional dimension methods can significantly enhance proactive risk management in high-risk industries by identifying a wider spectrum of safety-related anomalies. …”
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Tactics and strategy analysis in professional badminton: insights from match data and performance metrics- a systematic review by Eval Edmizal, Dally Rahman, Eri Barlian, Donie Donie, Alnedral Alnedral

“…This study uses match data and performance metrics as the primary evaluation tools. Materials and Methods: This study adopted a systematic review design with strict selection criteria for data sources. …”
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Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates by Dengsheng Lu, Qi Chen, Guangxing Wang, Emilio Moran, Mateus Batistella, Maozhen Zhang, Gaia Vaglio Laurin, David Saah

“…This paper provides a brief overview of current forest biomass estimation methods using both TM and LiDAR data. A case study is then presented that demonstrates the forest biomass estimation methods and uncertainty analysis. …”
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Text-Enhanced Graph Attention Hashing for Cross-Modal Retrieval by Qiang Zou, Shuli Cheng, Anyu Du, Jiayi Chen

“…However, existing supervised methods often overlook noisy labels and multiscale features in different modal datasets, leading to higher information entropy in the generated hash codes and features, which reduces retrieval performance. …”
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Coli bond: A dual-function encryption system for secure information storage and transmission by microorganisms. by Xuefeng Xiao, Yunuo Song, Jingxuan Hu, Jinchen Han, Wanbin Xing, Chang Liu

“…With global data expected to reach 175 zettabytes by 2025, traditional storage methods face unprecedented challenges, including security risks, limited durability, and high maintenance costs associated with centralized infrastructure. …”
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A Topical Review of Quantum and Classical Machine Learning Approaches to Disaster Escape Routing Problems by A. Vinil, Parameswaran Iyer, Jetain Chetan, Aniket Bembale, Nagendra Singh

“…We review and analyze an existing hybrid quantum-classical machine learning model alongside classical machine learning models specifically for this problem. We also explore Variational Quantum Circuits and Encoding Methods. Our study suggests that hybrid quantum-classical machine learning, Graph Neural Networks, and Temporal Graph Networks offer high performance in terms of path prediction and accuracy in finding the optimal path. …”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Methods: Following PRISMA, 64 studies were reviewed that outlined the latest feature extraction and classification developments using deep learning models such as CNNs and RNNs. …”
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Impact of Premedication on Preoperative Anxiety in Females with Gynecological Diseases by I. G. Bobrinskaya, V. M. Yaltonsky, S. S. Khaikin, O. A. Bykova

“…Objective: to study preoperative psychoemotional, autonomic, and hematodynamic responses in patients to develop criteria for evaluating the efficiency of premedication.Subjects and methods. Sixty gynecological patients (mean age 38.5±1.1 years), who were being prepared for elective surgery, were examined. …”
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Multi-Dimensional Anomaly Detection and Fault Localization in Microservice Architectures: A Dual-Channel Deep Learning Approach with Causal Inference for Intelligent Sensing by Suchuan Xing, Yihan Wang, Wenhe Liu

“…This paper proposes a dual-channel deep learning framework that integrates Temporal Convolutional Networks with Variational Autoencoders to address these challenges. …”
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Real-time scattering in Ising field theory using matrix product states by Raghav G. Jha, Ashley Milsted, Dominik Neuenfeld, John Preskill, Pedro Vieira

“…We study scattering in Ising field theory (IFT) using matrix product states and the time-dependent variational principle. IFT is a one-parameter family of strongly coupled nonintegrable quantum field theories in 1+1 dimensions, interpolating between massive free fermion theory and Zamolodchikov's integrable massive E_{8} theory. …”
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A recursive framework of vehicle trajectory planning at mixed‐traffic signalized intersections by Menglin Yang, Hao Yu, Pan Liu

“…Besides, the recomputing of CAV trajectories will only be conducted when the variation in predictions rises to a certain threshold, balancing efficiency and computing consumption, inspired and modified based on MPC methods. …”
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Improving thermal state preparation of Sachdev–Ye–Kitaev model with reinforcement learning on quantum hardware by Akash Kundu

“…This paper addresses this challenge by integrating reinforcement learning (RL) with convolutional neural networks, employing an iterative approach to optimize the quantum circuit and its parameters. …”
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End-of-life hospitality? A preamble for supply-side notions of suicide tourism by Aaron Tham, Hayley Stainton

“…Implications: End-of-life hospitality necessitates a timely and coordinated approach to its undertaking, as there is still a significant variation of medically assisted dying globally. Having an integrated and systematic framing of the issues and stakeholders mitigates the likelihood of misuses and abuses of end-of-life experiences and enables all participants to have the necessary assurances to make informed decisions. …”
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Research and simulation of key bending parameters of suitable diameter oil and gas pipeline cleaning robots by DAI Yaonan, HE Xinhu, LIU Ke, YANG Peiyan, ZHANG Jiakang, ZHENG Xiaotao, GONG Cheng

“…ObjectiveTo improve the internal (variable diameter, bending) passage ability of oil and gas pipeline cleaning robots, a multi-segment adaptive wheel-type pipeline cleaning robot was proposed.MethodsThe robot was designed with a two-segment structural configuration to reduce its turning radius. …”
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Differences in Coronary Heart Disease and Stroke Incidence Among Single‐Race and Multiracial Asian and Pacific Islander Subgroups in Hawaii and California: A Retrospective Cohort S... by Yihe G. Daida, Ana Gabriela Rosales, Timothy B. Frankland, Adrian Matias Bacong, Beth Waitzfelder, Jiang Li, Joseph Keawe'aimoku Kaholokula, Latha Palaniappan, Stephen P. Fortmann

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A qualitative study of how clinicians reach agreement in perioperative pathway development: the Consensus Model for Standardising Healthcare by Lisa Pagano, Janet C. Long, Emilie Francis-Auton, Andrew Hirschhorn, Gaston Arnolda, Jeffrey Braithwaite, Mitchell N. Sarkies

“…Abstract Background Variation in perioperative care persists globally. …”
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Enhancing security in 6G-enabled wireless sensor networks for smart cities: a multi-deep learning intrusion detection approach by Waqar Khan, Muhammad Usama, Muhammad Shahbaz Khan, Oumaima Saidani, Hussam Al Hamadi, Noha Alnazzawi, Mohammed S. Alshehri, Jawad Ahmad

“…The model integrates a Transformer-based encoder, Convolutional Neural Networks (CNNs), and Variational Autoencoder-Long Short-Term Memory (VAE-LSTM) networks to enhance anomaly detection capabilities. …”
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Eco-cultural perspectives on plant diversity and NDVI in mountain pastures: a comparative study of Finail Valley (Italy) and Vercenik Valley (Turkey) by Oguz Kemal Basar, Emin Ugurlu, Camilla Wellstein

“…The findings highlight the significance of integrating traditional ecological knowledge with remote sensing and ecological field methods to support sustainable pasture management and inform alpine policy frameworks. …”
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<p><strong>Seasonal activity and spatial distribution pattern of <em>Eotetranychus frosti</em> (Acari: Tetranychidae) </strong><strong>in an unsprayed apple orchard of Kermanshah,... by Maryam Darbemamieh, Yaghoub Fathipour, Karim Kamali

“…On each sample date 130 leaves were selected, with a relative variation of 4.31%. Different methods of indices of dispersion, regression models (Taylor and Iwao), Morisita’s index and Lloyd’s mean crowding to mean was used to determine the spatial distribution pattern of this mite. …”
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Molecular Marker Techniques and Genotypic Characterization Approaches in Plant Breeding by İsmail Karakaş

“…Because there are multiple steps required in producing new plant varieties, including hybridization, selection, and testing, the process of creating a new variation takes several years. However, it is important to rapidly develop plant varieties with desirable characteristics to meet the increasing food demand of the rapidly growing world population, so the application of biotechnological methods integrated into plant breeding and combined with traditional methods can help reduce food shortages. …”
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