Quantum illumination networks by Xiaobin Zhao, Zheshen Zhang, Quntao Zhuang

“…Abstract Quantum illumination is an entanglement-based target detection protocol that provides quantum advantages despite entanglement-breaking noise. …”
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Glow-Worms, Railroad-Worms (Insecta: Coleoptera: Phengodidae) by Marc Branham

“…These fancy antennae are used to detect and follow pheromones produced by the female. …”
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Reliability and Validity of the End Range Hamstring Strength Test with Handheld Dynamometry by Jakob Kristiansen, Christina Eddy, Stig Peter Magnusson

“…This assessment can be valuable in monitoring rehabilitation progress and detecting deficits before and after returning to play. …”
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The Employee Time Discipline Monitoring System based on Fingerprint Sensor and Website by RIZKI ARDI

“…Based on the test results, the system demonstrates strong performance in monitoring, achieving a fingerprint detection accuracy of 95% and achieving a 100% success rate in website monitoring …”
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Chagas Disease, a Triatomine Bug-Transmitted Protozoan Infection by Bethany R. Eutsey, Cameron J. Jack, Shelley A. Whitehead, Eva A. Buckner

“…Awareness and understanding of Chagas disease are critical to detect and treat cases early. This publication is intended for anyone interested in learning more about Chagas disease. …”
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DEVELOPMENT, VALIDATION AND KINETIC APPLICATION OFSPECTROMETRIC METHODS FOR THE ANALYSIS OF ASPIRIN, SALICYLICACID, AND CAFFEINE AS SINGLE-COMPONENT AND IN MIXTURES by Aqeela Khurshid et al

“…The methods have been validated with respect to different parameters such as linearity, range, accuracy, precision, reproducibility, limit of detection, limit of quantification and specificity. …”
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Development of malaria diagnosis with convolutional neural network architectures: a CNN-based software for accurate cell image analysis. by Emrah ASLAN

“…Nowadays, machine learning methods that provide high accuracy are increasingly used in disease detection. In this paper, a Convolutional Neural Network (CNN) architecture is proposed to distinguish between parasitized and non-parasitized cells. …”
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Half-line kink scattering in the ϕ 4 model with Dirichlet boundary conditions by Jairo S. Santos, Fabiano C. Simas, Adalto R. Gomes

“…Linear perturbation analysis was applied to interpret some aspects of the scattering process. We detected the presence of two shape modes near the boundary. …”
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Analyzing the 2021 Kaseya Ransomware Attack: Combined Spearphishing Through SonicWall SSLVPN Vulnerability by Suman Bhunia, Matthew Blackert, Henry Deal, Andrew DePero, Amar Patra

“…We present an overview of Kaseya’s defense strategy involving customer interaction, a PowerShell script to detect compromised clients, and a cure-all decryption key that unlocks all locked files.…”
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Investigations of the sciences of the Qur'an in the interpretation of Al-Maraghi and its impact on explaining the meaning of the verse: Analytical study by Maher Bin Ghazali

“…The research has discovered the sciences of the Qur'an detectives that are directly related to the meaning of the verse is also related to the revelation of the verse, the reason for its descent, and the meaning of the verse. …”
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Analysis of The Role of Deep Learning Models in Image Classification Applications by Li Xiang

“…Image classification is a fundamental task in computer science, underpinning various applications such as object detection, face recognition, and object interaction analysis. …”
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Citrus Leafminer Parasitoid, Ageniaspis citricola Logvinovskaya (Insecta: Hymenoptera: Encyrtidae) by Alison Walker, Marjorie A. Hoy

“…The citrus leafminer was first detected in Florida in 1993, and quickly spread throughout all 860,000 acres of citrus, posing a serious threat to the state's citrus industry. …”
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Gut Microecological Prescription: A Novel Approach to Regulating Intestinal Micro-Ecological Balance by Zhu L, Yang X

“…Considering the importance and complexity of regulating the intestinal microecological balance, this study provides an overview of the high-risk factors affecting intestinal microecology and detection methods. Moreover, it proposes the definition of intestinal microecological imbalance and the definition, formulation, and outcomes of gut microecological prescription to facilitate its application in clinical practice, thus promoting clinical research on intestinal microecology and improving the quality of life of the population.Keywords: intestinal microecology, risk, gut microecological prescription, definition, faecal microbiota transplantation…”
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Glow-Worms, Railroad-Worms (Insecta: Coleoptera: Phengodidae) by Marc Branham

“…These fancy antennae are used to detect and follow pheromones produced by the female. …”
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A worldwide itinerary of research ethics in science for a better social responsibility and justice: a bibliometric analysis and review by Ingrid Sonya Mawussi Adjovi

“…However, significant challenges persist, including the lack of standardized approaches for detecting misconduct, limited understanding of the factors contributing to unethical behavior, and unclear definitions of ethical violations. …”
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Network traffic monitoring based on CNN-SVM by Wu Qian

“…This research shows that CNN-SVM model is an effective network traffic monitoring tool, which can provide high quality detection results while ensuring high efficiency.…”
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Comparisons of Machine Learning Models for Prediction of Susceptibility to Diabetes by Jiao Yutian

“…This study aims to find an optimal choice among the five selected models that perform the best on diabetes prediction, and thus provide valuable insights in early detection of diabetes. This study compares the predictive performance of machine learning models such as Random Forest (RF), Logistic Regression (LR), and Support Vector Machine (SVM). …”
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Carbon pricing drives critical transition to green growth by Isaak Mengesha, Debraj Roy

“…We also introduce real-time metrics for detecting sector-specific tipping points, without requiring counterfactual analysis. …”
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Research on Spam Filters Based on NB Algorithm by Su Shengyue

“…The SpamAssassin dataset is used in this study to explore the use of the Naive Bayes (NB) algorithm for spam detection. The algorithm demonstrated high accuracy and efficiency in classifying large-scale text data, achieving an accuracy of 97.74%, a recall rate of 96.60%, and a precision rate of 96.8%, with an F1 score of 0.97. …”
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Design and Construction of a Water Quality Monitoring System Using GSM. by Murangi Ezra

“…A turbidity sensor is used to detect the intensity of light passing through the scattering of particles and the result is an analog signal voltage. …”
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