Non-Destructive Early Detection of Drosophila Suzukii Infestation in Sweet Cherries (c.v. <i>Sweet Heart</i>) Based on Innovative Management of Spectrophotometric Multilinear Corre... by Giuseppe Altieri, Mahdi Rashvand Avaei, Attilio Matera, Francesco Genovese, Vincenzo Verrastro, Naouel Admane, Orkhan Mammadov, Sabina Laveglia, Giovanni Carlo Di Renzo

“…SWD infestations in sweet cherries are difficult to detect and remove in the field, packing houses, and processing lines, causing significant economic losses and reducing yields significantly, necessitating early detection of insect infestation in fruits during primary decaying stages. …”
Get full text

Automatic model of sleep apnea detection using optimized weighted fusion process of hybrid convolution (1D/2D) efficient attention network from EEG signals by R. Nandakumar, Rajesh Arunachalam, R Pugalenthi, Karthikayen Arunachalam

“…Initially, the required EEG signals are collected from the standard data resource. …”
Get full text

Combination of solid-liquid hollow fiber liquid phase microextraction method with electromembrane extraction for extraction of Tolmetin and its determination followed by high perfo... by Samaneh Niazipour, Jahan Bakhsh Raoof, Milad Ghani, Reza Ojani

“…Optimization of key extraction parameters was initially performed using the one-at-a-time method, while other parameters were systematically optimized through experimental design to achieve high sensitivity and reproducibility. …”
Get full text

Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic... by Jimmy Londono, Shohreh Ghasemi, Altaf Hussain Shah, Amir Fahimipour, Niloofar Ghadimi, Sara Hashemi, Zohaib Khurshid, Mahmood Dashti

“…This meta-analysis included 21 of 577 articles initially collected on the accuracy of ML algorithms for detecting and predicting anatomical landmarks. …”
Get full text

Do community-based active case-finding interventions have indirect impacts on wider TB case detection and determinants of subsequent TB testing behaviour? A systematic review. by Helena R A Feasey, Rachael M Burke, Marriott Nliwasa, Lelia H Chaisson, Jonathan E Golub, Fahd Naufal, Adrienne E Shapiro, Maria Ruperez, Lily Telisinghe, Helen Ayles, Cecily Miller, Helen E D Burchett, Peter MacPherson, Elizabeth L Corbett

“…Community-based active case-finding (ACF) may have important impacts on routine TB case-detection and subsequent patient-initiated diagnosis pathways, contributing "indirectly" to infectious diseases prevention and care. …”
Get full text

Enhancing early detection of neurological and developmental disorders and provision of intervention in low-resource settings in Uttar Pradesh, India: study protocol of the G.A.N.E.... by Moreno Toldo, Swami Varishthananda, Christa Einspieler, Neeraj Tripathi, Anshu Singh, Surendra K Verma, Kanchan Vishwakarma, Dajie Zhang, Agyeya Dwivedi, Ritika Gupta, Sanjay Karn, Nirmal Kerketta, Ram Narayan, Karuna Nikam Singh, Sumitra Rani, Akanksha Singh, Divyanshu Singh, Krishna Pratap Singh, Navin Singh, Neeraj Singh, Rishi Singh, Shyam P Singh, Rakesh Srivastava, Sandeep Srivastava, Sanjeev Srivastava, Gopal Yadav, Preeti Yadav, Sheshnath Yadav, Sujata Yadav, Peter B Marschik

“…In addition, children with developmental delay, intellectual disabilities, late detected genetic disorders or autism spectrum disorder show abnormal general movements (GMs) during infancy. …”
Get full text

Myocardial Strain Measurements Obtained with Fast-Strain-Encoded Cardiac Magnetic Resonance for the Risk Prediction and Early Detection of Chemotherapy-Related Cardiotoxicity Compa... by Daniel Lenihan, James Whayne, Farouk Osman, Rafael Rivero, Moritz Montenbruck, Arne Kristian Schwarz, Sebastian Kelle, Pia Wülfing, Susan Dent, Florian Andre, Norbert Frey, Grigorios Korosoglou, Henning Steen

“…<b>Objectives:</b> The PRoactive Evaluation of Function to Evade Cardio Toxicity (PREFECT) study sought to evaluate the ability of fast-strain-encoded (F-SENC) cardiac magnetic resonance imaging (CMR) and 2D echocardiography (2D Echo) to stratify patients at risk of CTX prior to initiating cancer treatment, detect early signs of cardiac dysfunction, including subclinical CTX (sub-CTX) and CTX, and monitor for recovery (REC) during cardioprotective therapy. …”
Get full text

A novel ddPCR™ assay for eDNA detection and quantification of Greater Amberjack Seriola dumerilli and three congeners in US waters: challenges and application to fisheries independ... by P. Joana Dias, Ryan Lehman, Bryan L. Huerta-Beltrán, Ana Wheeler, Crystal L. Hightower, Jessica Heise, Theodore Switzer, Clint Rhode, J. Marcus Drymon, Lynne Stokes, Mark A. Albins, Sean Powers, Nicole Phillips

“…Environmental DNA (eDNA) tools aimed at the detection and quantification of target species are starting to emerge in support of marine fisheries surveys. …”
Get full text

The lightning climatology of South Africa by Morné Gijben

“…In 2005, the South African Weather Service installed a state-of-the-art cloud-to-ground lightning detection network across the country. The data recorded by this network in 2006 was utilised in the development of an initial lightning climatology of South Africa. …”
Get full text

Solvent effect on the NO2 sensing properties of multi-walled carbon nanotubes by Nikita I. Lapekin, Tatyana V. Anufrieva, Arina V. Ukhina, Artem A. Shestakov, Alexander G. Bannov

Get full text

New Functional Possibilities of Fire Detectors for Residential and Industrial Rooms by V. O. Kitikov, E. V. Ternov, A. V. Danilenko, N. I. Mukhurov, S. V. Denisyuk

“…The effectiveness of combined fire detectors' use, equipped in addition to traditional smoke and heat sensors with gas sensors, as an integrated approach to the organization of control over protected objects is shown.The results of development of highly sensitive two-zone sensor with sensitive elements based on iron oxide films for detecting the release of explosive and poisonous gases in the initial stage of decay before the formation of ignition conditions are presented. …”
Get full text

Nanotechnology and nanosensors in personalized healthcare: A comprehensive review by Mohsen Ghorbian, Mostafa Ghobaei-Arani, Mohamad Reza Babaei, Saeid Ghorbian

“…With the ability to identify molecular and cellular changes, nanosensors can accurately detect biomarkers of diseases even in the initial stages and provide detailed information about the state of the body, especially in complex and costly diseases such as cancer. …”
Get full text

Three-State Hidden Markov Model for Spectrum Prediction in Cognitive Radio Networks by Emmanuel Oluwatosin Rabiu, Damilare Oluwole Akande, Zachaeus Kayode Adeyemo, Isaac Akinwale Akanbi, Oluwole Oladele Obanisola

“…The transmission, emission and initial state probabilities of the proposed 3-state HMM parameters were derived based on the three canonical problems associated with HMM. …”
Get full text

Robust Land-Surface Parameterisation for Repeated Topographic Surveys in Dynamic Environments with Adaptive State-Space Models by Daniel R. Newman, Yuichi S. Hayakawa

Get full text

Research on Multi-Objective Pedestrian Tracking Algorithm Based on Full-Size Feature Fusion by Yihuai Zhu, Zhandong Liu, Ke Li, Yong Li, Xiangwei Qi, Nan Ding

“…In the field of Multi-Object Tracking (MOT), the current mainstream approach is the tracking by detection paradigm, which heavily relies on the accuracy of the detector, the comprehensiveness of feature extraction, and the superiority of the data association matching algorithm. …”
Get full text

AI-Driven Identification of Grapevine Fungal Spores via Microscopic Imaging and Feature Optimization with Cuckoo Search Algorithm by Xin Shi, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…Grapevine diseases caused by fungal pathogens pose a significant threat to viticulture, leading to considerable economic losses and reduced productivity. Early, intelligent detection of fungal spores is vital for effective disease management. …”
Get full text

Revolutionizing Construction Safety: Unveiling the Digital Potential of Building Information Modeling (BIM) by Bilal Manzoor, Rabia Charef, Maxwell Fordjour Antwi-Afari, Khalid Saqer Alotaibi, Ehsan Harirchian

“…Scopus and Web of Science were the databases used to search for qualifying publications. From an initial cohort of 502 papers, 125 were chosen as relevant to the scope of this research. …”
Get full text

Implementation of fruit plucking robot in apple harvesting: A review by Tallat Noreen, Ahsan Ali, Saeed Anwar, Shahzaib Farooq, Wael A. Altabey, Sallam A Kouritem, Mohammad Noori

Get full text

An Artificial Intelligence Solution for Automated Dental Inspection and Charting by M.A. Moufti, M. Abu Talib, S. Al Mokdad, A. Alhouria, M. Alsaffarini, N. Almahmeed, S. Eldessouky, W. Kharoufah, Q. Nasir

“…This study encompasses tooth identification, the initial phase of our development process. Methods: 100 intra-oral videos were recorded, annotated using CVAT software, and split into training and testing datasets (80:20 ratio) to develop an object detection YOLOv7x model on a Convolutional Neural Network (CNN). …”
Get full text

At-Home Stroke Neurorehabilitation: Early Findings with the NeuroExo BCI System by Juan José González-España, Lianne Sánchez-Rodríguez, Maxine Annel Pacheco-Ramírez, Jeff Feng, Kathryn Nedley, Shuo-Hsiu Chang, Gerard E. Francisco, Jose L. Contreras-Vidal

Get full text