An aspartyl protease-mediated cleavage regulates structure and function of a flavodoxin-like protein and aids oxidative stress survival. by Anamika Battu, Rajaram Purushotham, Partha Dey, S Surya Vamshi, Rupinder Kaur

“…A family of eleven glycosylphosphatidylinositol-anchored aspartyl proteases, commonly referred to as CgYapsins, regulate a myriad of cellular processes in the pathogenic yeast Candida glabrata, but their protein targets are largely unknown. …”
Get full text

Efficient and safe software defined network topology discovery protocol by Dong LI, Junqing YU, Yongpu GU, Pengcheng ZHAO

“…The network topology discovery in OpenFlow-based software-defined networks is mainly achieved by utilizing the OpenFlow discovery protocol (OFDP).However, it has been observed in existing research that OFDP exhibits low updating efficiency and is susceptible to network topology pollution attacks.To address the efficiency and safety concerns of the network topology discovery protocol, an in-depth investigation was conducted on the mechanism and safety of OFDP network topology discovery.The characteristics of network topology establishment and updating in OFDP were analyzed, and an improved protocol named Im-OFDP (improved OpenFlow discovery protocol) based on the minimum vertex covering problem in graph theory was proposed.In Im-OFDP, the switch port table and network link table were initially established using prior information obtained from OFDP network topology discovery.Subsequently, a graph model of the network topology was constructed, and the minimum vertex covering algorithm in graph theory was employed to select specific switches for the reception and forwarding of topology discovery link layer discovery protocol (LLDP) packets.Multi-level flow tables were designed based on the network topology structure, and these flow entries were installed on the selected switches by the controller to process LLDP packets.To address security issues, dynamic check code verification in LLDP packets was employed to ensure the safety of network links.Additionally, a network equipment information maintenance mechanism was established based on known network topologies to ensure the safety of the network equipment.Experimental results demonstrate a significant reduction in the number of network topology discovery messages, bandwidth overhead, and CPU overhead through the deployment of Im-OFDP.Moreover, the response time for node failures and link recovery time after mode failure is substantially reduced.Im-OFDP also effectively mitigates various network topology pollution attacks, such as link fabrication and switch forgery attacks.Overall, Im-OFDP has the capability to enhance the efficiency and safety of SDN topology discovery.…”
Get full text

Role of the Mucin-2 and Kaiso genes in the social behavior of mice by E. N. Kozhevnikova, K. M. Achasova, V. S. Korostina, E. B. Prokhortchouk, E. A. Litvinova

“…In this work, we used an animal model of intestinal inflammation, which might result in behavioral changes. …”
Get full text

miR-181d-5p Protects against Retinal Ganglion Cell Death after Blunt Ocular Injury by Regulating NFIA-Medicated Astrocyte Development by Jinghua Li, Junyi Liu, Yuanping Zhang, Xu Zha, Hong Zhang, Yongying Tang, Xueying Zhao

“…We aimed to explore the mechanisms of RGCs death in an experimental TON model. Methods. Optic nerve crush injury was induced in ten New Zealand white rabbits. …”
Get full text

Preparation of sludge-based activated carbon and its application for phosphorus adsorption by HE Zishuai, LI Haitao, GAO Hong

“…The results showed that when the adsorption time was 360 min and pH of 6, the adsorption capacity of TSAC and XHAC for phosphorus was 7.3 mg/g and 6.8 mg/g, which was higher than the adsorption capacity of commercial activated carbon(4.1 mg/g). The adsorption process conformed to the Langmuir model and pseudo second-order kinetic equation, and was a chemical adsorption on the surface of a single molecular layer. …”
Get full text

Dual‐Transformer Deep Learning Framework for Seasonal Forecasting of Great Lakes Water Levels by Yi Chen, Pengfei Xue

“…Accurate seasonal forecasting of lake levels using traditional mechanistic models is challenging due to the complex physical mechanisms and coupled hydroclimatic processes involved. …”
Get full text

Adaptive continuous-discrete variables optimization for active learning with extremely sparse data in optical material design by Serang Jung, Eungkyu Lee

“…In the adaptive scheme, we examine the performance of three machine learning (ML) models—Gaussian process regression, factorization machines (FM), and field-aware FM—for a surrogate function, and ML model-specific optimization algorithms such as discrete particle swarm optimization, artificial bee colony optimization, and simulated annealing. …”
Get full text

Radiological assessment of bioengineered bone in a muscle flap for the reconstruction of critical-size mandibular defect. by Randa Al-Fotawei, Ashraf F Ayoub, Neil Heath, Kurt B Naudi, K Elizabeth Tanner, Matthew J Dalby, Jeremy McMahon

“…The novel surgical model of this study has potential clinical application; the assessment of bone regeneration using the presented radiolographic protocol is descriptive and comprehensive. …”
Get full text

Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching by Lukas Bischof, Stefan Teodoropol, Rudolf M. Füchslin, Kurt Stockinger

“…Furthermore, we also show that a model trained on a quantum simulator is portable and thus transferable to a real quantum computer. …”
Get full text

Efficient Visual-Aware Fashion Recommendation Using Compressed Node Features and Graph-Based Learning by Umar Subhan Malhi, Junfeng Zhou, Abdur Rasool, Shahbaz Siddeeq

“…Following the GCN encoder, the refined embeddings are input to a multi-layer perceptron (MLP) to calculate compatibility scores. …”
Get full text

Numerical simulation analysis of settlement for super-large diameter shield tunneling undercrossing high-speed railway subgrade by LOU Hongjun, SU Dong, LIN Xingtao, WANG Xuetao, SONG Ming

“…The simulation results show that during the process of shield penetration into the composite strata, the surface of the ballast layer of the high speed railroad foundation experiences varying degrees of settlement in the direction of shield tunnel excavation. …”
Get full text

Co-occurrence feature learning for visual recognition of immature leukocytes by Yi-Ting Hsiao, Si-Wa Chan, Yen-Chieh Ouyang, Ju-Huei Chien

“…Additionally, the model is less demanding in terms of training hardware than attentional mechanism-based models that also have local feature representation. …”
Get full text

Dynamic performance of prestressed ECC-concrete composite T-beam bridge subjected to close-in blast loading by Zenghan Wu, Yuzhou Zheng, Wenwei Wang, Chang Zhou, Li Chen, Hengbo Xiang, Qin Fang, Hai Fang

“…The dynamic behavior of ECC was also accurately simulated using the K&C concrete model. Experimental and numerical results highlighting that the PECT bridge processed excellent deflection and local damage control capabilities, with a reduced mid-span flange damage compared to ordinary concrete T-beam specimen (PCT). …”
Get full text

Preventive role of CD163-positive macrophages in postoperative peritoneal adhesions by Lianbo Li, Hiroki Hirao, Masaki Honda, Ahmad Adawy, Cheng Pan, Yukio Fujiwara, Daiki Yoshii, Weijie Xue, Masahiro Tomita, Jie Su, Taizo Hibi, Yoshihiro Komohara

“…While macrophages contribute to this process, the specific subtypes and underlying mechanisms remain unclear. …”
Get full text

Feature Coding and Graph via Transformer: Different Granularities Classification for Aircraft by Jianghao Rao, Senlin Qin, Zongyan An, Jianlin Zhang, Qiliang Bao, Zhenming Peng

Get full text

Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…A temporal convolutional network processes the extracted action features. This network performs convolution operations on features at different instances, enabling the model to capture changes over time and identify long-term dependencies between action features. …”
Get full text

Super-Resolution of Landsat-8 Land Surface Temperature Using Kolmogorov–Arnold Networks with PlanetScope Imagery and UAV Thermal Data by Mahdiyeh Fathi, Hossein Arefi, Reza Shah-Hosseini, Armin Moghimi

“…The multi-step process involves acquiring and co-registering T_HR via the DJI Mavic 3 thermal (T) drone, I_HR from Planet (3 m resolution), and LST_LR from Landsat-8, with T_HR serving as reference data while I_HR and LST_LR are used as input features for the KAN model. …”
Get full text

Adaptive Hierarchical Multi-Headed Convolutional Neural Network With Modified Convolutional Block Attention for Aerial Forest Fire Detection by Md. Najmul Mowla, Davood Asadi, Shamsul Masum, Khaled Rabie

“…Leveraging Explainable Artificial Intelligence (XAI) techniques, the model provides interpretable insights into decision-making processes.…”
Get full text

Link-State-Aware Proactive Data Delivery in Integrated Satellite–Terrestrial Networks for Multi-Modal Remote Sensing by Ranshu Peng, Chunjiang Bian, Shi Chen, Min Wu

“…Central to this framework is a dual-branch actor network architecture that dynamically fuses heterogeneous modalities: a lightweight MobileNet-v3-small backbone extracts semantic features from remote sensing imagery, while parallel branches—a multi-layer perceptron (MLP) for static attributes (e.g., payload specifications, geolocation tags) and a long short-term memory (LSTM) network for temporal user cache patterns—jointly model contextual and historical dependencies. …”
Get full text

Experimental and theoretical investigation of zwitterionic surfactant adsorption on calcite for enhanced oil recovery by Armin Bazyari, Abdolnabi Hashemi, Bahram Soltani Soulgani

“…Adsorption equilibrium data, evaluated using multiple models, identified the Sips model as providing the best fit, highlighting its flexibility in describing complex adsorption phenomena. …”
Get full text