Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…The methodology incorporates quadratic exponential smoothing for outlier mitigation, followed by sequential feature extraction using convolutional neural networks (CNNs) and bidirectional gated recurrent units (GRUs). Comparative experiments demonstrate the model’s superiority over conventional architectures including RNN, LSTM, GRU, and CNN-GRU. …”
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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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Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning by Yanli Zhao, Zongduo Liu, Junjie Pang

“…Traditional detection approaches typically rely on statistical features while overlooking the interaction patterns and structural dependencies among traffic flows. …”
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Numerical Simulation Study on the Dynamic Processes and Evolution Laws of Multiple Granular Flows in a Gully by LEI Ming, ZHANG Liang, YE Chen, WANG Xiekang

“…Compared with the first granular flow, subsequent ones feature shorter durations and higher energy dissipation rates. The velocity and displacement of base granules increase significantly as the friction coefficient decreases and the secondary slope increases. …”
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Investigation of methicillin, beta lactam, carbapenem, and multidrug resistant bacteria from blood cultures of septicemia suspected patients in Northwest Ethiopia by Abebe Birhanu, Getachew Gebre, Eden Getaneh, Hana Yohannes, Netsanet Baye, Gizeaddis Belay Mersha, Mitkie Tigabie, Mulat Dagnew, Getachew Ferede, Teshiwal Deress, Wondwossen Abebe

“…Gram-positive bacteria, particularly S. aureus, and gram-negative bacteria like K. pneumoniae and E. coli were predominant. High rates of methicillin, beta-lactam, and carbapenem resistance were observed, emphasizing the magnitude of antimicrobial resistance. …”
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Posterior hip dislocation associated with a femoral neck fracture and posterior acetabular wall fracture by Marcus Vinícius Bianchi, Ary da Silva Ungaretti Neto, Cristina Vicioli, Ramesses Akamefula, Márcio Balbinotti Ferrari

“…The complexity arises from the cumulative complication rates associated with each injury, leading to an elevated overall risk.Case Presentation: A 30-year-old male was involved in a motorcycle collision, presenting with a shortened left lower extremity in adduction, internal rotation, and flexion. …”
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Path to full immunisation coverage, role of each vaccine and their importance in the immunisation programme: a cross-sectional analytical study of India by Gunjan Taneja, Pawan Kumar, Disha Agarwal, Ajay Kumar Verma, Pritu Dhalaria, Sanjay Kapur, Ajeet Kumar Singh, Bhupendra Tripathi

“…The prevalence of absolute zero-dose children, antigen-wise zero dose, co-coverage rates and cascade levels for vaccine combinations are assessed. …”
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Toward Fiscal Decentralization: Assessing the Performance of Internally Generated Revenue Collection for Local Development in Ghana by Charles Nicholas, Charles Dwumfour Osei, David Kwao-Sarbah

“…The findings reveal a striking pattern where property rates emerged as the most consistent and high-performing source of IGF, while revenues from land royalties and administrative fees lagged significantly. …”
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Children supervising children across low- and middle-income countries: the role of mothers’ education by Mónica Ruiz-Casares, Ruo Ying Feng, Negin Zamani, René Iwo, Magdalena Janus, Afua Twum-Danso Imoh, José Ignacio Nazif-Muñoz

“…In 90% of the countries across all regions, higher maternal education was associated with lower prevalence rates of children supervised by another child. No clear pattern was found among the eight countries across four continents displaying the opposite trend. …”
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Fatty acid filled polyaniline nanofibres with dual electrical conductivity and thermo-regulatory characteristics: Futuristic material for thermal energy storage by Tanwar Surya, Varshney Gunjan, Kaur Raminder

“…In addition to exhibiting reliable thermal performance over numerous cycles, PANI/UA NFs showed excellent TES and release rates. This work addresses key challenges in TES applications by introducing a PCM based on renewable materials that offers enhanced thermal reliability and efficiency. …”
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Analysis of Factors Affecting Social Participation in Municipal Waste Management by Farhad Afshar, Madjid Abbaspour, Akram al-Muluk Lahijanian, Reza Azizinezhad

“…Cities around the world face many challenges in urban waste management, the most important of which are increased energy consumption and greenhouse gas emissions, unsanitary public spaces and bad odors, and low recycling rates and limited spaces. Benefiting from social participation, along with integrated urban planning and strategy, can be a safe and physical solution in the optimal management of municipal waste. …”
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Factors affecting detection probability: Insights from banding data in a long-term continent-wide monitoring program by Morgane Gicquel, Juan C. Alonso, Lovisa Nilsson, Matthew Low, Javier A. Alonso, Dmitrijs Boiko, Damon Bridge, Patrick Dulau, Thomas Heinicke, Anne Kettner, Yosef Kiat, Petras Kurlavičius, Sigvard Lundgren, Michael Modrow, Günter Nowald, Ivar Ojaste, Alain Salvi, Jostein Sandvik, Markéta Ticháčková, Antonio Torrijo, Jari Valkama, Zsolt Végvári, Johan Månsson

“…In this study we investigate factors influencing detection rates of colour-banded Eurasian cranes (Grus grus), from a monitoring program spanning 35 years, involving 5049 marked individuals using four different types of bands (ELSA, ‘Finnish’, ‘Spanish’ and alphanumeric) with 172,725 resightings along migratory flyways. …”
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Zonation of macrofauna across sandy beaches and surf zones along the Dutch coast by Gerard Janssen, Saskia Mulder

“…BSI ranged from 1.4 to 1.1 for the northern and western Dutch coasts respectively and had an overall value of 1.2. The rates of exposure of the beaches varied between 8 and 12, and are therefore regarded as sheltered to moderately exposed. …”
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INTEGRATED APPROACH TO ASSESSING THE SEISMIC HAZARD OF URBAN AREAS IN SOUTHERN PRIANGARIE (CASE OF THE LEFT BANK OF THE ANGARA RIVER IN IRKUTSK) by A. Yu. Eskin, V. I. Dzhurik, S. P. Serebrennikov, E. V. Bryzhak

“…The experimental methods provided the data on the seismic properties of the reference and investigated soils, the propagation rates of seismic waves in such soils, and the pattern of microseism levels, as required for a valid estimation of seismic effect parameters by the seismic rigidity method and the microseism technique. …”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…The adoption of radiological AI faces several challenges, including substantial hardware requirements, data quality and quantity limitations, high false positive rates, the "black box" problem, and the narrow focus of current AI applications, which restricts their clinical usefulness. …”
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Use of Computational Intelligence in Customizing Drug Release from 3D-Printed Products: A Comprehensive Review by Fantahun Molla Kassa, Souha H. Youssef, Yunmei Song, Sanjay Garg

“…Computational intelligence (CI) mimics human intelligence by expanding the capabilities of machines in data analysis, pattern recognition, and making informed decisions. …”
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Inaccurate DNA synthesis in cell extracts of yeast producing active human DNA polymerase iota. by Alena V Makarova, Corinn Grabow, Leonid V Gening, Vyacheslav Z Tarantul, Tahir H Tahirov, Tadayoshi Bessho, Youri I Pavlov

“…Finally, we demonstrate that the mutation rates in yeast strains producing human DNA Pols ι and η are not elevated over the control strain, despite highly inaccurate DNA synthesis by their extracts.…”
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Impact of selective evidence presentation on judgments of health inequality trends: an experimental study. by Sam Harper, Nicholas B King, Meredith E Young

“…We randomized participants to see either a difference or ratio measure of health inequality alongside raw mortality rates in 5 different scenarios. At baseline there were no differences between treatment groups in assessments of inequality trends, but selective exposure to the same raw data augmented with ratio versus difference inequality graphs altered participants' assessments of inequality change. …”
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SynergyBug: A deep learning approach to autonomous debugging and code remediation by Hong Chen

“…The system demonstrated exceptional detection strength for functional and performance, and security bugs, where the detection rates reached 94% and 90% and 92%, respectively. …”
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