Prediction of compressive strength and characteristics analysis of semi-flexible pavement desert sand grouting material based upon hybrid-BP neural network by Wenbang Zhu, Yuhang Li, Xiumei Zheng, Enze Hao, Dali Zhang, Zhen Wang

Subjects: Get full text

Use of a perforator-based flap from the ulnar palmar artery for the repair of defects caused by the treatment of severe contractures due to Dupuytren's disease by Jiangping Dai, Jiangping Dai, Hui Wang, Haifeng Wang, Haifeng Wang, Xinyang Sun, Xinyang Sun, Yihan Zhang, Yihan Zhang

“…In total, 25 patients with soft tissue defects that occurred after severe Dupuytren's contracture release were treated using a perforator flap from the ulnar palm. …”
Get full text

The Effect of Exposure to Mobile Phones on Electrical Cardiac Measurements: A Multivariate Analysis and a Variable Selection Algorithm to Detect the Relationship With Mean Changes by Nader Alharbi, Mohammed Alassiri

Get full text

Does Classification of Persons with Fibromyalgia into Multidimensional Pain Inventory Subgroups Detect Differences in Outcome after a Standard Chronic Pain Management Program? by Martin L Verra, Felix Angst, Roberto Brioschi, Susanne Lehmann, Francis J Keefe, J Bart Staal, Rob A de Bie, André Aeschlimann

Get full text

Factors associated with decreased anal sphincter tone and the accuracy of forced anal examinations to detect individuals having receptive anal intercourse: an observational study by John A Schneider, Alan G Nyitray, Derek Smith, Michael W Ross, Elizabeth Y Chiao, Timothy J Ridolfi, Bridgett Brzezinski, B R Simon Rosser, Aniruddha Hazra, Jenna Nitkowski, Sandrine Sanos, Ever Mkonyi, Lucy Mgopa

“…Introduction Forced anal examinations are used to prosecute sexual and gender minorities (SGM) in multiple countries under the presumption that decreased sphincter tone, assessed by a finger inserted into the anal canal, can detect persons practising receptive anal intercourse. …”
Get full text

Development and Evaluation of an In-House ELISA to Detect Anti-FcεR1α IgG Autoantibodies in Chronic Spontaneous Urticaria Patients by Chattip Sripatumtong, Tunsuda Tansit, Papapit Tuchinda, Duangjit Kanistanon, Kanokvalai Kulthanan, Yuttana Srinoulprasert

“…Although many ELISA protocols have been developed to detect these autoAbs, they lacked validation or a reliable cut-off point. …”
Get full text

SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images by K. S. Basavaraju, N. Sravya, Vibha Damodara Kevala, Shilpa Suresh, Shyam Lal

Subjects: Get full text

Memory State Dynamics in BEOL FeFETs: Impact of Area Ratio on Analog Write Mechanisms and Charging by Hannes Dahlberg, Oscar Kaatranen, Karl-Magnus Persson, Arto Rantala, Jacek Flak, Lars-Erik Wernersson

Subjects: Get full text

Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems Networks by Urslla Uchechi Izuazu, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee

Subjects: Get full text

Space alternating generalized maximum-likelihood based low-complexity list detection algorithm by Chang-le JING, Xin WANG, Ji-bo WEI, Bin CHEN, Shi-qi WU

Subjects: Get full text

First detection of Culex tritaeniorhynchus in Western Australia using molecular diagnostics and morphological identification by Kimberly L. Evasco, Craig Brockway, Tamara Falkingham, Margaret Hall, Nerida G. Wilson, Abbey Potter

“…When the species was detected in the country’s Northern Territory (NT) for the first time, the Western Australia (WA) Department of Health was cognisant of the risk it posed to the State because of the shared border and continuous mosquito habitat adjoining the two jurisdictions. …”
Get full text

UGC³:a covert communication method defense against censorship by Qing-feng TAN, Pei-peng LIU, Jin-qiao SHI, Xiao WANG, Li GUO

Get full text

Dental bur detection system based on asymmetric double convolution and adaptive feature fusion by HongLing Hou, Ao Yang, Xiangyao Li, Kangkai Zhu, Yandi Zhao, Zhiqiang Wu

Subjects: Get full text

Retracted: Deep Learning-Based Detection and Identification Method for Sports Health Video Dissemination by Discrete Dynamics in Nature and Society

Get full text

Molecular Detection of Bladder Cancer by Fluorescence Microsatellite Analysis and an Automated Genetic Analyzing System by Sarel Halachmi, Michal Cohen, Raymond Szargel, Nadin Cohen

“…To investigate the ability of an automated fluorescent analyzing system to detect microsatellite alterations, in patients with bladder cancer. …”
Get full text

Development of Robust MWCNT Hydrogel Electrochemical Biosensor for Pyocyanin Detection by Phosphotungstic Acid Modification by Ting Xue, Lei Gao, Xianying Dai, Shenhui Ma, Yuyu Bu, Yi Wan

“…The trace detection of pyocyanin (PCN) is crucial for infection control, and electrochemical sensing technology holds strong potential for application in this field. …”
Get full text

Development and evaluation of optimized PCR and indirect ELISA for the detection of Morganella morganii in dairy cows by Meihua Zhang, Jiayi Li, Jianfeng Xue, Huiling Xu, Muzi Li, Yibo Xia, Changxi Qi, Pu Zhang, Yongxia Liu, Jianzhu Liu

“…To mitigate this risk, rapid and reliable diagnostic methods for detection are essential. Currently, detection methods for M. morganii are underdeveloped, prompting us to develop both pathogenic and serological detection methods, including an optimized PCR technique and an indirect enzyme-linked immunosorbent assay (I-ELISA).MethodsThe optimized PCR method utilized bacterial suspensions directly as templates, bypassing the need for DNA extraction and thereby allowing the direct detection of M. morganii in fecal samples. …”
Get full text

Multistage System-Based Machine Learning Techniques for Intrusion Detection in WiFi Network by Vu Viet Thang, F. F. Pashchenko

“…This paper presents some machine learning models applied to the intrusion detection system in WiFi network. Firstly, we present an incremental semisupervised clustering based on a graph. …”
Get full text

Damage Detection of Structures for Ambient Loading Based on Cross Correlation Function Amplitude and SVM by Lin-sheng Huo, Xu Li, Yeong-Bin Yang, Hong-Nan Li

“…An effective method for the damage detection of skeletal structures which combines the cross correlation function amplitude (CCFA) with the support vector machine (SVM) is presented in this paper. …”
Get full text

E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review by Abed Mutemi, Fernando Bacao

Subjects: Get full text