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A preprint abstract discusses the use of machine learning algorithms and heuristic stopping criteria to improve the efficiency of systematic reviews in education and educational psychology. The study conducted a retrospective screening simulation using 27 systematic reviews and found that active learning algorithms reduced screening workload by an average of 50% and saved an estimated 1.64 days of time. The Random Forests algorithm with Sentence Bidirectional Encoder Representations from Transformers performed the best. Additionally, the study found that heuristic stopping rules could retrieve 95% of relevant abstracts, with the most significant gains achieved by stopping the screening process after classifying 7% of irrelevant papers. The performance of the heuristic stopping criteria depended on the active learning algorithm used, the length, and the proportion of relevant papers in the database. This research provides empirical evidence on the effectiveness of machine learning screening algorithms for abstract screening in systematic reviews in education and educational psychology. [Extracted from the article]

A study conducted by researchers at Sichuan University of Science and Engineering in China explores the design of smart senior care (SSC) product app interfaces for the elderly. The researchers use deep learning (DL) technology to optimize the app interface design, taking into consideration the cognitive characteristics and habits of the elderly. The study finds that the proposed model based on the deep-Q-network (DQN) algorithm significantly improves the user experience and satisfaction of the elderly, enhancing their ability to utilize smart products and improve their quality of life. The research provides valuable insights for further research and practice in related fields. [Extracted from the article]

A paper published in the journal Green Energy and Intelligent Transportation proposes a hybrid data-driven framework for battery state of health (SOH) estimation and remaining useful life (RUL) prediction. The framework combines the Variational Mode Decomposition (VMD) method, the improved Sparrow Search Algorithm (ISSA), and the Multi-Kernel Support Vector Regression (MKSVR) model. The researchers use eight features obtained through feature extraction and apply VMD to stabilize the capacity data. They also use an elite chaotic opposition-learning strategy and adaptive weights to optimize the SSA algorithm and improve prediction accuracy. Experimental verification using a dataset from NASA shows that the VMD-ISSA-MKSVR framework has the smallest errors in SOH estimation and RUL prediction, demonstrating high accuracy and stability. [Extracted from the article]

A new report from the University of Florence in Italy provides an extensive review of monitoring methods for electrical power lines, with a focus on high-voltage and medium-voltage systems. The objective of these techniques is to prevent catastrophic failures by detecting partial damage or deterioration of components and allowing for organized maintenance operations. The paper discusses the coordination of protection devices and the implementation of artificial intelligence algorithms to improve the reliability of the network. It also highlights diagnostic techniques, protection devices, and prognostic methods, emphasizing the role of artificial intelligence and offering guidelines for choosing between different approaches. [Extracted from the article]

A paper published in JAMA Network Open discusses the issue of bias in healthcare algorithms and provides guiding principles to address this problem. The paper supports the Biden Administration's Executive Order on advancing racial equity and preventing discrimination. The technical expert panel, supported by various healthcare organizations, developed a conceptual framework to address structural racism and discrimination in algorithms. The paper emphasizes the importance of understanding and mitigating algorithmic bias to promote health equity. [Extracted from the article]

However, the researchers said, the TikTok algorithm also displayed a worrying tendency to repeatedly expose users to content that could be harmful to their mental health. "TikTok is a huge platform for mental health content", said Ashlee Milton, first author of the paper and a University of Minnesota computer science and engineering Ph.D. student. How is TikTok affecting our mental health?. [Extracted from the article]

Keywords: Algorithms; Asia; Beijing Institute of Technology Press Co. Ltd; Business; China; Electronics; Emerging Technologies; Machine Learning; Nano-robot; Optoelectronics; Robotics; Technology EN Algorithms Asia Beijing Institute of Technology Press Co. Ltd Business China Electronics Emerging Technologies Machine Learning Nano-robot Optoelectronics Robotics Technology 1108 1108 1 03/23/23 20230310 NES 230310 2023 MAR 10 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- A research paper by scientists at the Beijing Institute of Technology proposed an automated manipulation method for transporting microparticles actuated by optoelectronic tweezers (OETS). "Among various robotic micro-manipulation techniques, OETs has received widespread attention due to its superiority in terms of massively parallel manipulation." stated study author Huaping Wang, a professor at the Beijing Institute of Technology. [Extracted from the article]

To this end, this paper proposes an agent-based algorithm for the protection for user privacy health topics based on identity replacement." Keywords: Zhejiang; People's Republic of China; Asia; Engineering; Algorithms; Cybersecurity; Health and Medicine; Public Health EN Zhejiang People's Republic of China Asia Engineering Algorithms Cybersecurity Health and Medicine Public Health 8478 8478 1 10/30/23 20231103 NES 231103 2023 NOV 3 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- New research on Engineering is the subject of a report. [Extracted from the article]

The three stages of the QIP algorithm include: (1) detection of line segments, (2) unraveling of the interlocking pentagons, and (3) quantification of areas. "In this paper, we present a novel three-stage algorithm, called Quantification of Interlocking Pentagons (QIP), which quantifies PCT performance by computing the areas of individual pentagons and their intersection areas, and a balance ratio between the areas of the two individual pentagons. [Extracted from the article]

A study conducted by researchers at Henan Normal University in China has proposed a new method for monitoring the training load of athletes using sensor technology and motion image analysis. The researchers combined the advantages of vision-based motion monitoring and wearable sensor-based motion monitoring to create a method that can be used for motion monitoring anytime and anywhere. They also developed a two-stage neural network motion monitoring algorithm to identify different types of motions separately, which improves the accuracy of recognition. Additionally, the study introduced a data enhancement algorithm based on acceleration data to increase the number of samples without the need for re-collecting data. The results of simulation experiments showed that this method can be applied to real-life situations. [Extracted from the article]

A recent study conducted at the University of California Riverside has developed an algorithm for searching optimal variance component estimators in linear mixed models. The study focuses on the estimation of variance components, which is crucial in data analysis based on a linear mixed model. The algorithm aims to derive strictly positive unbiased estimators with minimum variance by modifying the method-of-moments estimator using a class of square non-singular regularization matrices. The proposed method allows for the convenient study of the theoretical and numerical properties of the estimator, even in small samples. The research concludes by illustrating the use of the algorithm in two illustrative examples. [Extracted from the article]

A recent study from the National Research University "Moscow Power Engineering Institute" focuses on the application of a modernized wavelet transform in analyzing electrocardiographic signals to highlight changes in interval durations. The research aims to develop an algorithm that can accurately detect changes in intervals such as P-R and Q-T, which are crucial for diagnosing cardiovascular diseases. By utilizing the Hermite transform and statistical analysis, the algorithm produces rhythmograms that track interval changes over time, allowing for efficient diagnostic evaluation. This study provides valuable insights into improving electrocardiogram diagnostics through advanced signal processing techniques. [Extracted from the article]

Researchers at the University of Pisa in Italy have developed an algorithm for coding an additive manufacturing file (AMF) to create custom orthopedic insoles using 3D printing technology. The algorithm uses a 3D model of the insole, pressure maps of the patient's feet, and information about the material stiffness to generate the AMF file. The resulting insoles can be customized to restore correct pressure distribution on the foot and can be easily integrated into orthopedic workshops. This method offers advantages over traditional milling machining approaches in terms of time, cost, and flexibility. [Extracted from the article]

This article discusses the use of survey questionnaires in psychology and social sciences to measure latent traits of study subjects. Traditional causal inference methods assume knowledge of the true causal structure, which is often unknown in these fields. The article proposes the use of a Bayesian network that can learn the causal structure objectively from data, without prior knowledge. The authors develop a learning algorithm that is able to identify a unique causal structure and quantify associated uncertainty. The algorithm is demonstrated using a dataset from a psychological study on the relationship between symptoms of obsessive-compulsive disorder and depression. The article also mentions the availability of a user-friendly open-source R package for implementing the proposed algorithm. [Extracted from the article]

Keywords: Algorithms; Cyborgs; Emerging Technologies; Epidemiology; Health and Medicine; Hemic and Immune Systems; Immunology; Lymph Nodes; Lymphoid Tissue; Machine Learning; Neoplasms; Risk and Prevention EN Algorithms Cyborgs Emerging Technologies Epidemiology Health and Medicine Hemic and Immune Systems Immunology Lymph Nodes Lymphoid Tissue Machine Learning Neoplasms Risk and Prevention 4761 4761 1 11/06/23 20231110 NES 231110 2023 NOV 10 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- A new study on neoplasms is now available. This paper describes the development and validation of a predictive model of the risk of lymph node metastasis among gastric NEN patients based on machine learning platform.". [Extracted from the article]

Keywords: Algorithms; Genetic Algorithms; Genetics; Sensor Research; Technology EN Algorithms Genetic Algorithms Genetics Sensor Research Technology 2877 2877 1 09/25/23 20230929 NES 230929 2023 SEP 29 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Researchers detail new data in sensor research. The method is based on the idea of phase recovery and the imaging principle of a coherent imaging system to recover the aberrations at the exit pupil of the system. [Extracted from the article]

This article discusses the use of machine learning algorithms to predict the Big Five personality traits of synthetic participants based on their recent music listening activity. The study utilizes AI-generated participants and analyzes their motivations for listening to music using the Spotify API. The findings suggest that AI struggles to accurately mimic the complexity of human personality psychology and music taste. This study serves as a pilot for a larger investigation comparing synthetic participants to real college students. [Extracted from the article]

This article discusses the use of survey questionnaires in psychology and social science research to measure latent traits in study subjects. While structural equation models have traditionally been used for causal analysis, their reliance on knowledge of true causal structure limits their reliability. The article proposes the use of a Bayesian network, which can learn causal structure objectively from data without prior knowledge. The authors develop a learning algorithm based on hill-climbing and bootstrapping that can identify a unique causal structure and quantify associated uncertainty. The algorithm is demonstrated using a dataset from a psychological study on the relationship between symptoms of obsessive-compulsive disorder and depression. The article also mentions the availability of a user-friendly open-source R package for implementing the proposed algorithm. [Extracted from the article]

A study conducted by researchers at China University of Mining and Technology explores the challenges of transporting medical waste generated by medical institutions (MIs) to disposal centers (DCs). The researchers propose a bi-level optimization model that aims to minimize costs and transportation risks associated with medical waste transportation. They use a simulated annealing algorithm and an improved genetic algorithm to address the optimal location problem and the capacity-constrained vehicle routing problem, respectively. The study emphasizes the importance of travel time reliability and loading reliability in designing an efficient medical waste recycling network. The researchers found that their modified genetic algorithm exhibited superior performance compared to other methods. [Extracted from the article]

A recent study conducted in Dongguan, People's Republic of China, focused on the application of sequential databases in various fields such as market basket analysis, medical prediction, and sign language recognition. The study highlighted the limitations of previous research that assumed each event occurred instantaneously and proposed the integration of duration with temporal patterns in interval-based sequential databases. The researchers developed two algorithms, FTDPMiner-EP and FTDPMiner-TM, to mine frequent temporal duration-based patterns (TDPs). The experiments conducted on real and synthetic databases demonstrated the good performance of the algorithms. This research has been peer-reviewed and provides valuable insights into the field of mathematics. [Extracted from the article]

Algorithms, Chronic Disease, Cyborgs, Disease Attributes, Emerging Technologies, Health and Medicine, Machine Learning Keywords: Algorithms; Chronic Disease; Cyborgs; Disease Attributes; Emerging Technologies; Health and Medicine; Machine Learning EN Algorithms Chronic Disease Cyborgs Disease Attributes Emerging Technologies Health and Medicine Machine Learning 4807 4807 1 08/21/23 20230825 NES 230825 2023 AUG 25 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- A new study on chronic disease is now available. [Extracted from the article]

Keywords: Beijing; People's Republic of China; Asia; Mathematics; Algorithms; Bone Research; Health and Medicine EN Beijing People's Republic of China Asia Mathematics Algorithms Bone Research Health and Medicine 2296 2296 1 08/07/23 20230811 NES 230811 2023 AUG 11 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Researchers detail new data in Mathematics. Beijing, People's Republic of China, Asia, Mathematics, Algorithms, Bone Research, Health and Medicine. [Extracted from the article]

Algorithms, Dentistry, Diagnostics and Screening, Health and Medicine, Science, Science Communication and Technology Keywords: Algorithms; Dentistry; Diagnostics and Screening; Health and Medicine; Science; Science Communication and Technology EN Algorithms Dentistry Diagnostics and Screening Health and Medicine Science Science Communication and Technology 4125 4125 1 07/17/23 20230721 NES 230721 2023 JUL 21 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- New study results on science communication and technology have been published. [Extracted from the article]

According to the news reporters, the research concluded: "The MDP is used to build an optimization problem model, and the improved DRL algorithm is used to iteratively solve the optimal computing resource scheduling strategy. Keywords: Algorithms; Cybersecurity; Legal Issues; Life Sciences; Medical and Biological Mechanics; Scheduling Algorithms EN Algorithms Cybersecurity Legal Issues Life Sciences Medical and Biological Mechanics Scheduling Algorithms 1454 1454 1 06/26/23 20230630 NES 230630 2023 JUN 30 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Current study results on medical and biological mechanics have been published. Algorithms, Cybersecurity, Legal Issues, Life Sciences, Medical and Biological Mechanics, Scheduling Algorithms. [Extracted from the article]

Keywords: Algorithms; Angiology; Applied Sciences; Electronics; Health and Medicine; Radial Artery; Science; Signal Processing EN Algorithms Angiology Applied Sciences Electronics Health and Medicine Radial Artery Science Signal Processing 6422 6422 1 05/29/23 20230602 NES 230602 2023 JUN 2 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Researchers detail new data in applied sciences. Firstly, this paper proposes to apply the coordinate rotation digital computer (CORDIC) algorithm to the whole radial artery ultrasound signal processing, combines the signal processing characteristics of each sub-module, and designs the dynamic filtering module based on the radix-4 CORDIC algorithm, the quadrature demodulation module based on the partitioned-hybrid CORDIC algorithm, and the dynamic range transformation module based on the improved scale-free CORDIC algorithm. [Extracted from the article]

Chongqing, People's Republic of China, Asia, Mathematics, Algorithms, Brain, Central Nervous System, Cerebrum, Health and Medicine, Telencephalon Keywords: Chongqing; People's Republic of China; Asia; Mathematics; Algorithms; Brain; Central Nervous System; Cerebrum; Health and Medicine; Telencephalon EN Chongqing People's Republic of China Asia Mathematics Algorithms Brain Central Nervous System Cerebrum Health and Medicine Telencephalon 1137 1137 1 04/10/23 20230414 NES 230414 2023 APR 14 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Investigators publish new report on Mathematics. [Extracted from the article]

Keywords: Algorithms; Diagnostics and Screening; Electroencephalography; Health and Medicine; Neuroscience; Science EN Algorithms Diagnostics and Screening Electroencephalography Health and Medicine Neuroscience Science 7663 7663 1 03/23/23 20230310 NES 230310 2023 MAR 10 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Current study results on neuroscience have been published. Algorithms, Diagnostics and Screening, Electroencephalography, Health and Medicine, Neuroscience, Science. [Extracted from the article]

A research team at the University of Chicago Medical Center has developed a new risk score, called the U.S. Candidate Risk Score (US-CRS), to predict the likelihood that a patient will die without a heart transplant. The US-CRS aims to address the limitations of the current therapy-based 6-status system by incorporating objective physiological measurements, such as levels of molecules in the blood associated with organ failure. The researchers analyzed data from over 16,900 adult heart transplant candidates to determine the relationship between the US-CRS and mortality within 6 weeks of being placed on the transplant waitlist. The US-CRS model was found to be much better at predicting mortality than the current U.S. heart allocation system. However, further validation and committee approval are needed before the US-CRS can be adopted. The researchers are also working on improving heart allocation overall and designing a fair and resilient continuous distribution system for deceased donor hearts. [Extracted from the article]

Keywords: Algorithms; Clinical Medicine; Health and Medicine EN Algorithms Clinical Medicine Health and Medicine 4211 4211 1 03/24/23 20230224 NES 230224 2023 FEB 24 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- New research on clinical medicine is the subject of a new report. The purpose of this paper is to describe an institutional algorithm that allows one to perform one-stage implant-based breast reconstructions in patients with large and ptotic breasts.". [Extracted from the article]

Keywords: Mansoura; Egypt; Africa; Algorithms; Artificial Intelligence; DNA Viruses; Data Mining; Diagnostics and Screening; Emerging Technologies; Health and Medicine; Infectious Diseases and Conditions; Information Technology; Information and Data Mining; Machine Learning; Monkeypox; Orthopoxvirus; Poxviridae Infections; Selection Algorithm; Zoonosis; Zoonotic EN Mansoura Egypt Africa Algorithms Artificial Intelligence DNA Viruses Data Mining Diagnostics and Screening Emerging Technologies Health and Medicine Infectious Diseases and Conditions Information Technology Information and Data Mining Machine Learning Monkeypox Orthopoxvirus Poxviridae Infections Selection Algorithm Zoonosis Zoonotic 2023 FEB 17 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- New research on Infectious Diseases and Conditions - Monkeypox is the subject of a report. Our news editors obtained a quote from the research from Mansoura University, "Through this paper, a new detection strategy based on artificial intelligence techniques is provided to early detect monkeypox patients. [Extracted from the article]

A recent study conducted at Harbin Engineering University in Heilongjiang, China, has proposed an advanced expert collaborative filtering recommendation algorithm based on signal fluctuation. The algorithm uses signal processing technology to filter the level of experts and introduces a kurtosis factor to determine the credibility of expert users. The research conducted experiments on multiple datasets and concluded that their method is advanced and reliable. For more information, readers can refer to the article "Expert Mining Collaborative Filtering Recommendation Algorithm Based On Signal Fluctuation" published in Computing and Informatics. [Extracted from the article]

A recent report from Federal University Maranhao explores the use of machine learning and deep learning algorithms in the aviation industry. The study focuses on aircraft diagnosis/prognosis, predictive maintenance, feature selection, and flight data monitoring. The research highlights the potential benefits of these algorithms in enhancing aircraft operations, such as defect identification, calculation of remaining usable life, and prediction of excessive vibration in aero-engines. The application of machine learning algorithms in predictive maintenance allows for real-time assessment of equipment health, reducing hazards and improving overall performance. Flight data monitoring is also emphasized as a crucial aspect of improving safety and operational efficiency in civil aviation. [Extracted from the article]

Researchers from the University of Electronic Science and Technology of China have developed a noise reduction method for the vibration signal of the reactor control rod drive mechanism (CRDM). The CRDM is a crucial component for the normal operation of a reactor. The proposed method, called complete ensemble empirical mode decomposition with adaptive amplitude correction noise and spectral kurtosis (CEEMDAACN-SK), effectively reduces the vibration signal of the CRDM by decomposing it into multiple intrinsic mode functions and analyzing the spectral kurtosis of each component. Experimental analysis showed that the CEEMDAACN-SK algorithm outperformed existing methods. This method has potential applications in other fields such as nuclear power and the chemical industry. [Extracted from the article]

A recent study published in the journal Frontiers in Digital Health discusses the development of a new algorithm, called the HDBN-XG algorithm, for predicting coronary heart disease. The algorithm analyzes key physiological data, such as Electrocardiogram (ECG) readings and blood volume measurements, and uses a multi-objective artificial bee colony approach to construct feature subsets. The researchers found that the HDBN-XG algorithm achieved high accuracy, precision, specificity, sensitivity, and F1-measure, outperforming existing classifiers. The study contributes to predictive analytics in healthcare and aims to mitigate the global impact of coronary heart disease. [Extracted from the article]

The news editors obtained a quote from the research from Ajman University: "The Salp Swarm Algorithm (SSA) has been found to be effective in solving complex optimization problems. Keywords: Algorithms; Bone Research; Engineering; Health and Medicine EN Algorithms Bone Research Engineering Health and Medicine 983 983 1 10/03/23 20231006 NES 231006 2023 OCT 6 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Investigators publish new report on engineering. [Extracted from the article]

Keywords: Algorithms; Anxiety; Anxiety Disorders; Data Analytics; Health and Medicine; Information Technology; Mental Health Diseases and Conditions EN Algorithms Anxiety Anxiety Disorders Data Analytics Health and Medicine Information Technology Mental Health Diseases and Conditions 4097 4097 1 09/25/23 20230929 NES 230929 2023 SEP 29 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Research findings on anxiety disorders are discussed in a new report. Algorithms, Anxiety, Anxiety Disorders, Data Analytics, Health and Medicine, Information Technology, Mental Health Diseases and Conditions. [Extracted from the article]

Keywords: Algorithms; Bone Research; Health and Medicine; Mathematics EN Algorithms Bone Research Health and Medicine Mathematics 6668 6668 1 08/14/23 20230818 NES 230818 2023 AUG 18 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Investigators publish new report on mathematics. Algorithms, Bone Research, Health and Medicine, Mathematics. [Extracted from the article]

Bias within algorithms may lead to inaccurate healthcare outcomes and exacerbate health disparities when results derived from these biased algorithms are applied to health interventions. Keywords: Irvine; State:California; United States; North and Central America; Algorithms; Artificial Intelligence; Emerging Technologies; Health and Medicine; Machine Learning; Public Health EN Irvine State:California United States North and Central America Algorithms Artificial Intelligence Emerging Technologies Health and Medicine Machine Learning Public Health 2145 2145 1 07/24/23 20230728 NES 230728 2023 JUL 28 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Data detailed on Artificial Intelligence have been presented. [Extracted from the article]

Guizhou, People's Republic of China, Asia, Algorithms, Data Analytics, Information Technology Keywords: Guizhou; People's Republic of China; Asia; Algorithms; Data Analytics; Information Technology EN Guizhou People's Republic of China Asia Algorithms Data Analytics Information Technology 5648 5648 1 05/29/23 20230602 NES 230602 2023 JUN 2 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Current study results on Information Technology - Data Analytics have been published. Keywords for this news article include: Guizhou, People's Republic of China, Asia, Algorithms, Data Analytics, Information Technology, Guizhou Normal University. [Extracted from the article]

In order to in-depth study the current status of the role of machine learning sensors in wearable heart rate monitoring, this article uses the new and old sensor comparison method, the field survey method and the human sample test method, collects samples, analyzes the machine learning sensor, and streamlines the algorithm." Keywords: Jinan; People's Republic of China; Asia; Algorithms; Cyborgs; Emerging Technologies; Machine Learning; Risk and Prevention EN Jinan People's Republic of China Asia Algorithms Cyborgs Emerging Technologies Machine Learning Risk and Prevention 1839 1839 1 05/22/23 20230526 NES 230526 2023 MAY 26 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Investigators publish new report on Machine Learning. [Extracted from the article]

Algorithms, Artificial Intelligence, Emerging Technologies, Health and Medicine, Machine Learning, Ophthalmology Keywords: Algorithms; Artificial Intelligence; Emerging Technologies; Health and Medicine; Machine Learning; Ophthalmology EN Algorithms Artificial Intelligence Emerging Technologies Health and Medicine Machine Learning Ophthalmology 1281 1281 1 05/22/23 20230526 NES 230526 2023 MAY 26 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- New research on artificial intelligence is the subject of a new report. [Extracted from the article]

According to news originating from Pune, India, by NewsRx correspondents, research stated, "Automatic Number Plate Recognition (ANPR) and Vehicle Number plate detection (VNPD) systems." Keywords: Algorithms; Health and Medicine; Science and Healthcare; Technology EN Algorithms Health and Medicine Science and Healthcare Technology 3480 3480 1 05/15/23 20230519 NES 230519 2023 MAY 19 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Research findings on science and healthcare are discussed in a new report. [Extracted from the article]

Keywords: Algorithms; Diagnostics and Screening; Health and Medicine; Imaging Technology; Optical Coherence Tomography; Photonics; Science; Technology EN Algorithms Diagnostics and Screening Health and Medicine Imaging Technology Optical Coherence Tomography Photonics Science Technology 3335 3335 1 05/02/23 20230505 NES 230505 2023 MAY 5 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Researchers detail new data in photonics. Algorithms, Diagnostics and Screening, Health and Medicine, Imaging Technology, Optical Coherence Tomography, Photonics, Science, Technology. [Extracted from the article]

Compared with other algorithms, the contour Cosine similarity accuracy of the bone stick image stitched by this algorithm is improved by 21.68%, which can be accurate to 97.80%; the Editing distance similarity accuracy is improved by 14.29%, which can be accurate to 91.87%;the Peak signal-to-noise ratio is improved by 83%, which can be accurate to 31.13%;the Structural Similarity is improved by 29%, which can be accurate to 0.87; the Figure of merit is improved by 39%, which can be accurate to 0.85." Keywords: Algorithms; Bone Research; Engineering; Health and Medicine EN Algorithms Bone Research Engineering Health and Medicine 4450 4450 1 03/27/23 20230331 NES 230331 2023 MAR 31 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- A new study on engineering is now available. Keywords for this news article include: School of Information and Control Engineering, Algorithms, Engineering, Bone Research, Health and Medicine. [Extracted from the article]

Our news reporters obtained a quote from the research from University of Vigo: "As a consequence, it is necessary to shorten the time spent in locating and reconstructing the atheroma plaque that can be developed in an artery. Keywords: Algorithms; Angiology; Health and Medicine; Intravascular; Mathematics EN Algorithms Angiology Health and Medicine Intravascular Mathematics 6249 6249 1 03/23/23 20230303 NES 230303 2023 MAR 3 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Investigators discuss new findings in mathematics. [Extracted from the article]

Keywords: Algorithms; Diagnostics and Screening; Health and Medicine EN Algorithms Diagnostics and Screening Health and Medicine 2023 FEB 10 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- New study results on algorithms have been published. That has brought forward the usage of reinforcement learning and novel machine learning algorithms in recent years to maximize efficiency in engine control and engine diagnosis, as highlighted in the following part. [Extracted from the article]