Primate lentiviruses use at least three alternative strategies to suppress NF-κB-mediated immune activation. by Dominik Hotter, Teresa Krabbe, Elisabeth Reith, Ali Gawanbacht, Nadia Rahm, Ahidjo Ayouba, Benoît Van Driessche, Carine Van Lint, Martine Peeters, Frank Kirchhoff, Daniel Sauter

“…While both Vprs target the IKK complex or a factor further downstream in the NF-κB signaling cascade, only SIVolc Vpr stabilizes IκBα and inhibits p65 phosphorylation. …”
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Traffic State Estimation With Spatio-Temporal Autoencoding Transformer (STAT Model) by Ali Reza Sattarzadeh, Pubudu N. Pathirana, van Thanh Huynh

“…Comprehensive evaluations across various traffic prediction datasets have established the validity of the proposed approach. Also, for an efficient model selection, Akaike Information Criterion (AIC), Schwarz Bayesian Information Criterion (SBIC), Hannan-Quinn Information Criterion (HQIC), and corrected AIC (AICc) tools were used to evaluate and compare models based on their ability to balance fit and complexity. …”
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Data-driven predictive model of coal permeability based on microscopic fracture structure characterization by Tianhao Yan, Xiaomeng Xu, Jiafeng Liu, Yihuai Zhang, Muhammad Arif, Xiaowei Xu, Qiang Wang

“…Owing to the inherent heterogeneity and complex internal structure of coal, a well-established method for predicting permeability based on microscopic fracture structures remains elusive. …”
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Technical research and application prospects of lignocellulose biotransformation by PAN Runze, MOU Lu, QIU Min, JIANG Wankui, ZHANG Wenming, JIANG Yujia*, XIN Fengxue*, JIANG Min

“…Lignocellulose, as an abundant renewable biomass resource, holds immense potential for the production of biofuels and biochemicals. However, its complex structure presents challenges to achieving optimal efficiency in lignocellulose biotransformation. …”
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Research on the A* Algorithm for Automatic Guided Vehicles in Large-Scale Maps by Yuandong Chen, Jinhao Pang, Yuchen Gou, Zhiming Lin, Shaofeng Zheng, Dewang Chen

“…In this study, we aimed to improve the search efficiency and path planning quality of the A* algorithm in complex and large-scale environments through a series of optimisation measures, including the innovation of weight design, flexible adjustment of the search neighbourhood, improvement of the heuristic function, and optimisation of the node selection strategy. …”
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Development of a fluorophilic ion-exchange material with dual binding mechanism for solid-phase extraction of PFAS by Johanna Freilinger, Jan O. Back, Raphael Plangger, Herwig Schottenberger, Christian W. Huck, Marco Rupprich, Rania Bakry

“…This has created challenges in PFAS detection, leading to an urgent need for reliable and selective solid-phase extraction (SPE) materials for PFAS analysis. …”
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Joined Spatial and Spectral Segmentation of Hyperspectral Datasets on Historical Art Objects by Lingxi Liu, Aurore Malmert, Emeline Pouyet, Silvia Mirri, Giovanni Delnevo

“…Spatial features excel in spatially contextualised data like urban planning and object detection, capturing adjacent pixel relationships. …”
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Eddy-induced underwater acoustic field reconstruction and computation based on sound speed classification and B-spline surface fitting by Luochuan Xu, Jian Xu, Xuegang Zhang, Anmin Zhang, Yi Liu, Dan Chen, Linglong Chen, Zhongpeng Wu

“…As a result, underwater acoustic detection has emerged as an effective approach for observing complex oceanic physical phenomena in these environments. …”
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Rapid Purification and Quantification of Intestinal and Fecal Short-Chain Fatty Acids by Solid-Phase Extraction Using Bond Elut Plexa by Xing Zheng, Tao Chen, Wanli Li, Kai Wang, Xiaofeng Xue, Nenad Naumovski, Wenjun Peng

“…The technique is highly suitable for analyzing complex, small amounts of intestinal and fecal SCFAs.…”
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Ethics of Sensor-Based Surveillance of People with Dementia in Clinical Practice by Jacob Lahr, Nicole Schulze, Larissa N. Wüst, Claus Beisbart, Lena C. Bruhin, Marcello Ienca, Tobias Nef, Manuel Trachsel, Stefan Klöppel

“…We identify intrusion into privacy and the complex interaction between stakeholders as the biggest challenges. …”
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A review on plant metabolite-mediated nanoparticle synthesis: sustainable applications in horticultural crops by Komal G. Lakhani, Rasmieh Hamid, Elaheh Motamedi, G. V. Marviya

“…These crops pose a major challenge for breeding due to their high genetic diversity, long generation cycles, and complex reproductive biology, underlining the need for innovative approaches. …”
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Subcarrier Index-Power Modulated-Optical OFDM With Dual Superposition Multiplexing for Directly Modulated DFB-Based IMDD PON Systems by Lin Chen, Fadi Halabi, Roger Philip Giddings, Junjie Zhang, Jianming Tang

“…A low-signal-modulation format-enabled highly spectrally efficient new transmission technique termed subcarrier index-power modulated optical OFDM with dual superposition multiplexing (SIPM-OOFDM-DSPM) is proposed and investigated, for the first time, in intensity modulation and direct detection (IMDD) passive optical network (PON) systems incorporating directly modulated DFB lasers (DMLs). …”
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A hybrid approach to advanced NER techniques for AI-driven water and agricultural resource management by Dong Yan, Ming Lei, Yingying Shi

“…By achieving high accuracy and scalability, our method enables timely and reliable extraction of critical information from agronomic reports and policy documents-supporting applications such as precision irrigation planning, early detection of crop diseases, and efficient allocation of water resources in data-scarce regions.…”
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Context-Aware Markov Sensors and Finite Mixture Models for Adaptive Stochastic Dynamics Analysis of Tourist Behavior by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong, Zhengchun Song

“…The proposed method addresses this limitation by introducing virtual sensors that dynamically detect contextual anomalies and trigger regime switches in real-time. …”
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Evaluating pedestrian crossing safety: Implementing and evaluating a convolutional neural network model trained on paired aerial and subjective perspective images by Dylan Russon, Antoine Guennec, Juan Naredo-Turrado, Binbin Xu, Cédric Boussuge, Valérie Battaglia, Benoit Hiron, Emmanuel Lagarde

“…With pedestrian crossings implicated in a significant proportion of vehicle-pedestrian accidents and the French government's initiatives to improve pedestrian safety, there is a pressing need for efficient, large-scale evaluation of pedestrian crossings. …”
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Edge–Cloud Intelligence for Sustainable Wind Turbine Blade Transportation: Machine-Vision-Driven Safety Monitoring in Renewable Energy Systems by Yajun Wang, Xiaodan Wang, Yihai Wang, Shibiao Fang

“…These risks arise from collision hazards, complex terrain, and the difficulty of real-time monitoring under adverse environmental conditions. …”
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Reliability Assessment and Condition Monitoring of Wind Energy Conversion Systems Using Bayesian Networks: Recent Advances and Key Insights by Fatemeh Salboukh, Yashar Mousavi, Ibrahim Beklan Kucukdemiral, Afef Fekih, Umit Cali

“…Wind energy conversion systems (WECSs) play a vital role in the transition to sustainable energy, requiring continuous advancements in reliability, efficiency, and predictive maintenance. This paper provides a comprehensive review of Bayesian Networks (BNs) as a robust probabilistic framework for enhancing fault detection, risk assessment, and condition monitoring in WECSs. …”
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Dynamic Patch-Based Sample Generation for Pulmonary Nodule Segmentation in Low-Dose CT Scans Using 3D Residual Networks for Lung Cancer Screening by Ioannis D. Marinakis, Konstantinos Karampidis, Giorgos Papadourakis, Mostefa Kara

“…HighRes3DNet is a specialized 3D convolutional neural network (CNN) architecture based on ResNet principles which uses residual connections to efficiently learn complex spatial features from 3D volumetric data. …”
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Advanced Diagnosis of Cardiac and Respiratory Diseases from Chest X-Ray Imagery Using Deep Learning Ensembles by Hemal Nakrani, Essa Q. Shahra, Shadi Basurra, Rasheed Mohammad, Edlira Vakaj, Waheb A. Jabbar

“…Despite the strengths of individual models, the ensemble meta-model achieved the best overall performance, with a Hamming Loss of 0.1408 and consistently higher ROC-AUC values across multiple diseases, demonstrating its superior capability to handle complex classification tasks. This robust ensemble learning framework underscores its potential for reliable and precise disease detection, offering significant improvements over traditional methods. …”
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Analisis Perbandingan Model Bert Dan Xlnet Untuk Klasifikasi Tweet Bully Pada Twitter by Teuku Radillah, Okta Veza, Sarjon Defit

“…These findings can help platforms like Twitter identify and prevent bullying content, thereby creating a safer online environment for users, and can be used as a basis for the development of more sophisticated and efficient bullying detection systems in the future. …”
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