Apoptotic cell death, detected ex vivo in peripheral blood lymphocytes of HIV-1 infected persons by L. F. te Velde, I. Vermes, C. Haanen, C. P. M. Reutelingsperger, C. H. H. ten Napel

“…Until now quantitative information about in vivo apoptosis of lymphocytes in HIV-patients is scarce because of the very nature of the apoptotic process. Successful detection of apoptosis ex vivo requires the recognition of the initial phase of this process, because at a later stage the cells may not remain any longer in the circulation. …”
Get full text

Detection of plasmids in Salmonella from poultry and investigating the potential horizontal transfer of antimicrobial resistance and virulence genes by Haijiao Lin, Moussa S. Diarra, Guangqiang Jia, Xin Zhao

“…Detection of previously unreported plasmid-borne VG (fdeC) from Salmonella in poultry calls for more vigilant monitoring.…”
Get full text

Quantitative Fluorescence Determination of Long-Fragment DNA in Stool as a Marker for the Early Detection of Colorectal Cancer by Daniele Calistri, Claudia Rengucci, Chiara Molinari, Enrico Ricci, Elena Cavargini, Emanuela Scarpi, Gian Luigi Milandri, Carla Fabbri, Alberto Ravaioli, Antonio Russo, Dino Amadori, Rosella Silvestrini

“…We aimed to validate the diagnostic accuracy, using the same threshold as in the previous pilot study, of fluorescent long DNA test as a relatively simple and inexpensive tool for colorectal cancer detection.…”
Get full text

Early Magnetic Resonance Detection of Natalizumab-Related Progressive Multifocal Leukoencephalopathy in a Patient with Multiple Sclerosis by Guglielmo Manenti, Simone Altobelli, Marco Nezzo, Marco Antonicoli, Erald Vasili, Luca Neroni, Roberto Floris, Giovanni Simonetti

“…Diagnosis of progressive multifocal leukoencephalopathy is usually based on the clinical presentation, on the demonstration of the brain lesions at the magnetic resonance imaging examination, and on the detection of the JC virus DNA in the cerebrospinal fluid with high sensitive polymerase chain reaction. …”
Get full text

Effectiveness of a commercial LAMP technology-based kit for rapid detection of Bursaphelenchus xylophilus in Pinus pinaster by María Menéndez-Gutiérrez, Lucía Villar, Raquel Díaz

“… Aim of study: To assess the usefulness of the commercial Loop-Mediated Isothermal Amplification (LAMP) kit for detecting Bursaphelenchus xylophilus (Steiner & Buhrer) Nickle in Pinus pinaster Aiton and Pinus radiata D. …”
Get full text

An Intelligent Ship Image/Video Detection and Classification Method with Improved Regressive Deep Convolutional Neural Network by Zhijian Huang, Bowen Sui, Jiayi Wen, Guohe Jiang

“…An accurate and fast method for ship image/video detection and classification is of great significance for not only the port management, but also the safe driving of Unmanned Surface Vehicle (USV). …”
Get full text

Usability test of the “Denia-IS” mobile application for sustainability high-risk pregnancy early detection in rural areas by Dwi Anggraeni Mekar, Triyanto Endang, Iskandar Asep, Fatoni Amin, Niyomdecha Najwa

Subjects: “…early detection…”
Get full text

A Synchronized Hybrid Brain-Computer Interface System for Simultaneous Detection and Classification of Fusion EEG Signals by Dalin Yang, Trung-Hau Nguyen, Wan-Young Chung

“…In this study, a simplified synchronized hybrid BCI system is proposed for multiple command control by the electroencephalograph (EEG) signals in the motor cortex. This system can detect the single motor imagery (MI) task, single steady-state visually evoked potential (SSVEP) task, and hybrid MI + SSVEP tasks simultaneously (total ten mental tasks) via 2 EEG channels with high accuracy. …”
Get full text

FABLDroid: Malware detection based on hybrid analysis with factor analysis and broad learning methods for android applications by Kazım Kılıç, İsmail Atacak, İbrahim Alper Doğru

“…To overcome these difficulties, a detection architecture using lightweight Broad learning method that provides high detection performance as an alternative to layer stacking found in deep structures is presented. …”
Get full text

A Case of Perilymphatic Fistula with Inner Ear Anomaly Diagnosed Preoperatively by the Cochlin-Tomoprotein Detection Test by Kana Lee, Naoki Ochi, Kohei Yamahara, Kunihiko Makino, Tetsuo Ikezono

“…The cochlin-tomoprotein (CTP) detection test is very useful for the surgeons to encourage the earlier operation to sudden hearing loss cases. …”
Get full text

Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 Board by Riadh Khenfer, Mohamed Mostefai, Seddik Benahdouga, Mounir Maddad

“…The contribution is the presentation of an algorithm to detect and localize the fault, in photovoltaic generator when a limited number of voltage sensors are used. …”
Get full text

Detection and Segmentation of Glioma Tumors Using an Improved Visual Geometry Group (IVGG) Deep Learning Structure by Parameswari Alagarsamy, Vinoth Kumar Kalimuthu, Bhavani Sridharan

“…Abstract Glioma brain tumors have similar textural patterns to other tumors, making their detection and segmentation a challenging process. The approach of the Modified Tumor Detection System (MTDS) is presented in this study to identify and categorize brain images of gliomas from images of healthy brains. …”
Get full text

Surface plasmon resonance detection of anti-cancer drug flutamide by graphitic carbon nitride/chitosan nanocomposite by Hassan Nasiri, Karim Abbasian

“…The biosensor demonstrated linear behavior across a wide concentration range from 1 to 150 µM, achieving a detection limit of 120 nM with its high sensitivity.…”
Get full text

Quality and reliability of IFC/BIM models for public educational facilities construction projects via clash detection by Michał Juszczyk, Mantas Vaišnoras, Robertas Kontrimovičius, Tomáš Hanák, Hanna Łukaszewska, Leonas Ustinovichius

Subjects: Get full text

Efficiency of Real-time Computer-aided Polyp Detection during Surveillance Colonoscopy: A Pilot Study by Shin Morimoto, Hidenori Tanaka, Yudai Takehara, Noriko Yamamoto, Fumiaki Tanino, Yuki Kamigaichi, Ken Yamashita, Hidehiko Takigawa, Yuji Urabe, Toshio Kuwai, Shiro Oka

“…Objectives: Studies have suggested that computer-aided polyp detection using artificial intelligence improves adenoma identification during colonoscopy. …”
Get full text

Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection by Sunil Kaushik, Akashdeep Bhardwaj, Ahmad Almogren, Salil bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen, Habib Hamam

“…These gadgets frequently function in challenging environments with little energy and processing power, leaving them open to cyberattacks and making it more difficult to implement intrusion detection systems (IDS) that work. In order to address this issue, this study presents a unique feature selection algorithm based on basic statistical methods and a lightweight intrusion detection system. …”
Get full text

Detection of Total Phenol in Green and Black Teas by Flow Injection System and Unmodified Screen Printed Electrode by Ivanildo Luiz de Mattos, José Heraclito Zagal

“…The proposed system is robust, versatile, environmentally-friendly (since the reactive is used only in the presence of the sample), and allows the analysis of about 35–40 samples per hour with detection limit = 1 mg/L without the necessity for surface cleaning after each measurement. …”
Get full text

A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems by Saiprasad Potharaju, Ravi Kumar Tirandasu, Swapnali N. Tambe, Devyani Bhamare Jadhav, Dudla Anil Kumar, Shanmuk Srinivas Amiripalli

“…This research is novel in seamlessly blending unsupervised anomaly detection using Isolation Forest to create labels for data points that were previously unlabeled. …”
Get full text

Automated multidimensional deep learning platform for referable diabetic retinopathy detection: a multicentre, retrospective study by Chi Pui Pang, Weiqi Chen, Mingzhi Zhang, Tsz Kin Ng, Yi Zheng, Guihua Zhang, Jian-Wei Lin, Ji Wang, Jie Ji, Ling-Ping Cen, Peiwen Xie, Yongqun Xiong, Hanfu Wu, Dongjie Li

“…Objective To develop and validate a real-world screening, guideline-based deep learning (DL) system for referable diabetic retinopathy (DR) detection.Design This is a multicentre platform development study based on retrospective, cross-sectional data sets. …”
Get full text

Heuristic Forest Fire Detection Using the Deep Learning Model with Optimized Cluster Head Selection Technique by Sengottaiyan N., Ananthi J., Rajesh Sharma R., Hamsanandhini S., Sungheetha Akey, Chinnaiyan R., Ketema Adare Gemeda

“…The system not only assists in early detection and timely alerts but also contributes to the strategic planning of firefighting and resource allocation efforts. …”
Get full text