Load transfer behaviour of super long piles in multi-layer soft soil through field testing and numerical 3D FEM modelling by Thoi Huu Tra, Thanh T. Nguyen, Thien Q. Huynh, Tatsuya Ishikawa

“…The coupled experimental (field) − numerical results reveal the predominant contribution of skin friction exceeding 90 % of the entire bearing capacity before a drop with swift rise in base resistance when reaching a critical condition (displacement sh > 25 mm and load pressure p > 14,000 kPa). The ratio of active skin friction is defined to assess the simultaneous variation of skin friction at different depths, featuring the role of pile length on the mobilisation of skin friction. …”
Get full text

Development and evaluation of BDNF-loaded PCL/PVA two-layer nerve guidance conduit with enhanced biomechanical and biological properties for peripheral nerve regeneration by Massoumeh Jabbari Fakhr, Mohsen Eslami Farsani, Leyla Fath-Bayati, Reihaneh Seyedebrahimi, Mehdi Sadrjahani, Fatemeh Kavakebian, Alireza Rezapour

“…Successfully mending nerve gaps requires incorporating biomimetic and functional features into neural conduit design. In this research, a new two-layer conduit that combines topographic support and controlled growth factor release was developed. …”
Get full text

Inhibitory Effects of Paclitaxel-Loaded Iron Oxide Nanoparticles on Non-Small Cell Lung Cancer by Enhancing Autophagy-Dependent Ferroptosis and Apoptosis Pathways by Deng R, Liang G, Chen W, Nie Q, Wen J

Get full text

Influence of liquid metal embrittlement on the failure behavior of dissimilar spot welds with advanced high-strength steel: A component study by Keke Yang, Matthias Sowada, Viktoria Olfert, Georg Seitz, Vincent Schreiber, Marcel Heitmann, David Hein, Max Biegler, Sven Jüttner, Michael Rethmeier, Gerson Meschut

“…To this end, a novel component-level test specimen featuring a hat and L-shaped profile was developed to identify critical failure points under three-point bending loads. …”
Get full text

Unsupervised adaptive feature enhancement network for reliable damage alarm using guided waves under time-varying conditions by Fan Shao, Jiaxuan Li, Li Ouyang, Yuanqiang Ren, Lei Qiu, Shengfang Yuan

“…Validated through crack and pit damage monitoring on an actual wing-box skin exposed to coupled temperature-load variations, the proposed method delivers accurate, reliable, region-specific damage alarms under coupled temperature and load time-varying conditions, underscoring its strong promise for practical engineering deployment.…”
Get full text

Enhanced efficiency and security in cross-chain transmission of blockchain internet of ports through multi-feature-based joint learning by Zeqiang Xie, Xiaowei Zhang, Xinbing Liu

“…To address these gaps, this study proposes a novel load-adaptive cross-chain control method tailored for Blockchain IoT systems in port areas. …”
Get full text

Fault Location on Radial Distribution Systems Using Wavelets and Artificial Neural Networks with a New Data Processing Feature by NERI Jr., A. L., MOREIRA, F. A., de SOUZA, B. A.

“…The common methods to locate the fault in electrical distribution systems use the final user information or some heuristics with fuse coordination and the loss of loads. In this paper, a new algorithm for fault location in distribution power systems is presented. …”
Get full text

Flaw-YOLOv5s: A Lightweight Potato Surface Defect Detection Algorithm Based on Multi-Scale Feature Fusion by Haitao Wu, Ranhui Zhu, Hengren Wang, Xiangyou Wang, Jie Huang, Shuwei Liu

“…To elevate detection accuracy as well as shorten the computational load of the model, this paper proposes a lightweight Flaw-YOLOv5s algorithm for potato surface defect detection. …”
Get full text

A combined prediction model for middle and long-term water and sediment forecasting based on causal analysis feature selection by XuanZhao Kong, KeBin Shi, HaiKun Yao, SiHai Liu

“…New hydrological insights for the region: By employing causal analysis instead of conventional feature selection and applying SHAP for LSTM gradient interpretation, we identify key causal variables: historical runoff, temperature, and evapotranspiration primarily govern reservoir inflow (with snowmelt being the dominant water source), while runoff, historical sediment load, and Nino1+2 most influence sediment inflow. …”
Get full text

Efficient Distributed Denial of Service Attack Detection in Internet of Vehicles Using Gini Index Feature Selection and Federated Learning by Muhammad Dilshad, Madiha Haider Syed, Semeen Rehman

“…The Gini index assists in filtering out important features, hence simplifying the models for higher accuracy. …”
Get full text

Hybrid feature-time series neural network for predicting ACL forces in martial artists with resistive braces after reconstruction by Dongyue Li, Haojie Li, Yang Hang

“…High-resolution kinematic and kinetic data were collected at T3, while ACL forces were computed at T3 using OpenSim musculoskeletal modeling. A feature-embedded temporal convolutional neural network (TCN) fused time-series gait data (T3) with static features (T0-T3) to predict ACL forces.ResultsThe hybrid TCN model achieved superior ACL force prediction accuracy, with a mean R2 = 0.63 (EG), R2 = 0.58 (CG), and R2 = 0.62 (combined cohort) in three-fold cross-validation. …”
Get full text

A multiple improved envelope spectra via feature optimization gram (MIESFO-gram) for diagnosis of compound fault signatures by Yazdanianasr Mahsa, Mauricio Alexandre, Gryllias Konstantinos

“…In this paper, Multiple Improved Envelope Spectra via Feature Optimization gram (MIESFO-gram) is introduced with the aim of finding all possible unique frequency bands occupied by cyclic frequencies and identifying different types of faults. …”
Get full text

VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection by Sanam Salman Kazi, Bhakti Palkar, Dhirendra Mishra

“…The study focuses on developing a shallow model with deep feature extraction to bring down the computational load with reduced time for training without compromising on any performance parameters. …”
Get full text

Clinical Features, Prognosis, and Long-Term Response to Ranibizumab of Macular CNVs in Pattern Dystrophies Spectrum: A Pilot Study by Lorenzo Casillo, Stefano Tricarico, Laura Contento, Enzo M. Vingolo

“…Early and long-term morphofunctional features of CNVs in PD and in AMD are overlapping. …”
Get full text

Capabilities-Based Approach to Parameters Selection for Manipulators of Man-Portable Unmanned Ground Vehicles by Tomasz Krakówka, Andrzej Typiak, Rafał Typiak, Maciej Cader

“…In the second stage, a detailed load analysis is performed. A distinctive feature of the proposed method is the use of optimization techniques to determine the maximum possible loads during load case definition. …”
Get full text

MOVEMENTS OF ANATOMICAL COMPLEX: CONDYLAR PROCESS, TEMPOROMANDIBULAR JOINT, TEMPORAL BONE by R.S. Palyvoda, A.S. Volovar, A.V. Malikov

“…Temporomandibular joint has the “adaptation gap”, it helps to make the reserve of mobility of loads in clenching, biting, chewing etc. …”
Get full text

Design and validation of a power modulation system for residential demand-side management by Aaron Goldin, Elizabeth Buechler, Ram Rajagopal, Juan M. Rivas-Davila

“…Currently available devices (e.g., smart thermostats or load control switches) that equip legacy loads with energy management features, provide narrow functionality to address specific use cases.We propose the Smart Dim Fuse (SDF), a unified system with general purpose hardware, to enable legacy residential loads with versatile grid-interactive functionalities. …”
Get full text

Overcoming the resistance of hepatocellular carcinoma to PD-1/PD-L1 inhibitor and the resultant immunosuppression by CD38 siRNA-loaded extracellular vesicles by Jun Deng, Hui Ke

“…Our results provide functional evidence for the use of EV-mediated delivery of CD38 siRNA to prevent immunosuppression feature of HCC.…”
Get full text

Resilient unit commitment against extreme cold events considering decision-dependent uncertainty-featured EV demand response by Wenqian Yin, Kun Zhuang, Pengcheng Fan, Zhengyang Sun, Jing Zhu, Jilei Ye

Get full text

Evaluating cognitive decline detection in aging populations with single-channel EEG features based on two studies and meta-analysis by Lior Molcho, Neta B. Maimon, Talya Zeimer, Ofir Chibotero, Sarit Rabinowicz, Vered Armoni, Noa Bar On, Nathan Intrator, Ady Sasson

“…Abstract Timely detection of cognitive decline is paramount for effective intervention, prompting researchers to leverage EEG pattern analysis, focusing particularly on cognitive load, to establish reliable markers for early detection and intervention. …”
Get full text