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Journal articles on the topic 'Emerging trend detection'

Author: Grafiati

Published: 21 September 2023

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1

Hsu, Ming-Hung, Yu-Hui Chang, and Hsin-Hsi Chen. "Temporal Correlation between Social Tags and Emerging Long-Term Trend Detection." Proceedings of the International AAAI Conference on Web and Social Media 4, no. 1 (2010): 255–58. http://dx.doi.org/10.1609/icwsm.v4i1.14049.

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Social annotation has become a popular manner for web users to manage and share their information and interests. While users' interests vary with time, tag correlation also changes from users' perspectives. In this work, we explore four methods for estimating temporal correlation between social tags and detect if a long-term trend emerges from the history of temporal correlation between two tags. Three types of trends are specified: steadily-shifting, stabilizing, and cyclic. To compare the results of the four estimation methods, an indirect evaluation is realized by applying detected trends t

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VALENCIA, MARIA, CODRINA LAUTH, and ERNESTINA MENASALVAS. "EMERGING USER INTENTIONS: MATCHING USER QUERIES WITH TOPIC EVOLUTION IN NEWS TEXT STREAMS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 17, supp01 (2009): 59–80. http://dx.doi.org/10.1142/s0218488509006030.

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Trend detection analysis from unstructured data poses a huge challenge to current advanced, web-enabled knowledge-based systems (KBS). Consolidated studies in topic and trend detection from text streams have concentrated so far mainly on identifying and visualizing dynamically evolving text patterns. From the knowledge modeling perspective identifying and defining new, relevant features that are able to synchronize the emergent user intentions to the dynamicity of the system's structure is a need. Additionally the advanced KBS have to remain highly sensitive to the content change, marked by ev

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Lackner, Bettina C., Andrea K. Steiner, Gabriele C. Hegerl, and Gottfried Kirchengast. "Atmospheric Climate Change Detection by Radio Occultation Data Using a Fingerprinting Method." Journal of Climate 24, no. 20 (2011): 5275–91. http://dx.doi.org/10.1175/2011jcli3966.1.

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Abstract The detection of climate change signals in rather short satellite datasets is a challenging task in climate research and requires high-quality data with good error characterization. Global Navigation Satellite System (GNSS) radio occultation (RO) provides a novel record of high-quality measurements of atmospheric parameters of the upper-troposphere–lower-stratosphere (UTLS) region. Because of characteristics such as long-term stability, self calibration, and a very good height resolution, RO data are well suited to investigate atmospheric climate change. This study describes the signa

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Wu, Yuqi, Yuhan Deng, Longgang Zhang, Qidong Zhang, and Ran Bao. "Research on the Development of Unmanned Underwater System Detection Technology." Journal of Physics: Conference Series 2218, no. 1 (2022): 012079. http://dx.doi.org/10.1088/1742-6596/2218/1/012079.

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Abstract In recent years, the number of unmanned systems in the world has been increasing. The emerging underwater platforms such as UUV are large in number, small in size, low in speed and low in noise. In the future, a variety of ocean combat missions will use a large number of UUV platforms. The existing methods for detecting underwater vehicles mainly include sonar, magnetometer. Based on this, by referring to a large number of literatures, a review of the research progress of underwater exploration at home and abroad in recent years. And compared with the United States, Russia and other c

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SUCHIT K. RAI, SUNIL KUMAR, and MANOJ CHAUDHARY. "Detection of annual and seasonal temperature variability and change using non-parametric test- A case study of Bundelkhand region of central India." Journal of Agrometeorology 23, no. 4 (2021): 402–8. http://dx.doi.org/10.54386/jam.v23i4.144.

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Consequences of global warming and climate change are major threat to humans and their socio-economic activities. Agriculture of Bundelkhand region is supposed to be more vulnerable due to emerging scenario of climate change and poor socio-economic status of farming community. Many studies carried out elsewhere have shown evidence of regional temperature variability along with global climate changes. This study focuses on the temporal variability and trend in annual and seasonal temperature (1901-2012) at six locations of Bundelkhand region. The results of the analysis reveal that the annual m

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Parlina, Anne, Kalamullah Ramli, and Hendri Murfi. "Exposing Emerging Trends in Smart Sustainable City Research Using Deep Autoencoders-Based Fuzzy C-Means." Sustainability 13, no. 5 (2021): 2876. http://dx.doi.org/10.3390/su13052876.

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The literature discussing the concepts, technologies, and ICT-based urban innovation approaches of smart cities has been growing, along with initiatives from cities all over the world that are competing to improve their services and become smart and sustainable. However, current studies that provide a comprehensive understanding and reveal smart and sustainable city research trends and characteristics are still lacking. Meanwhile, policymakers and practitioners alike need to pursue progressive development. In response to this shortcoming, this research offers content analysis studies based on

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Perisic, Marija Majda, Mario Štorga, and John S. Gero. "COMPUTATIONAL STUDY ON DESIGN SPACE EXPANSION DURING TEAMWORK." Proceedings of the Design Society 1 (July 27, 2021): 691–700. http://dx.doi.org/10.1017/pds.2021.69.

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AbstractWhen observing a design space expansion during teamwork, several studies found that cumulative solution-related issues' occurrence follows a linear trend. Such findings contradict the hypothesis of solution-related issues being characteristic for the later design stages. This work relies on agent-based simulations to explore the emerging patterns in design solution space expansion during teamwork. The results demonstrate trends that accord with the empirical findings, suggesting that a cognitive effort in solution space expansion remains constant throughout a design session. The collec

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Salunkhe, Uma R., and Suresh N. Mali. "Security Enrichment in Intrusion Detection System Using Classifier Ensemble." Journal of Electrical and Computer Engineering 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/1794849.

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In the era of Internet and with increasing number of people as its end users, a large number of attack categories are introduced daily. Hence, effective detection of various attacks with the help of Intrusion Detection Systems is an emerging trend in research these days. Existing studies show effectiveness of machine learning approaches in handling Intrusion Detection Systems. In this work, we aim to enhance detection rate of Intrusion Detection System by using machine learning technique. We propose a novel classifier ensemble based IDS that is constructed using hybrid approach which combines

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Katsurai, Marie, and Shunsuke Ono. "TrendNets: mapping emerging research trends from dynamic co-word networks via sparse representation." Scientometrics 121, no. 3 (2019): 1583–98. http://dx.doi.org/10.1007/s11192-019-03241-6.

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Abstract Mapping the knowledge structure from word co-occurrences in a collection of academic papers has been widely used to provide insight into the topic evolution in an arbitrary research field. In a traditional approach, the paper collection is first divided into temporal subsets, and then a co-word network is independently depicted in a 2D map to characterize each period’s trend. To effectively map emerging research trends from such a time-series of co-word networks, this paper presents TrendNets, a novel visualization methodology that highlights the rapid changes in edge weights over tim

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Schaffhauser, Andreas, Wojciech Mazurczyk, Luca Caviglione, Marco Zuppelli, and Julio Hernandez-Castro. "Efficient Detection and Recovery of Malicious PowerShell Scripts Embedded into Digital Images." Security and Communication Networks 2022 (June 29, 2022): 1–12. http://dx.doi.org/10.1155/2022/4477317.

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Due to steady improvements in defensive systems, malware developers are turning their attention to mechanisms for cloaking attacks as long as possible. A recent trend exploits techniques like Invoke-PSImage, which allows embedding a malicious script within an innocent-looking image, for example, to smuggle data into compromised devices. To address such a class of emerging threats, new mechanisms are needed, since standard tools fail in their detection or offer poor performance. To this aim, this work introduces Mavis, an efficient and highly accurate method for detecting hidden payloads, retri

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Patel, Hitika, Deepak Rawtani, and Y. K. Agrawal. "A newly emerging trend of chitosan-based sensing platform for the organophosphate pesticide detection using Acetylcholinesterase- a review." Trends in Food Science & Technology 85 (March 2019): 78–91. http://dx.doi.org/10.1016/j.tifs.2019.01.007.

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Ciernikova, Sona, Maria Novisedlakova, Danka Cholujova, Viola Stevurkova, and Michal Mego. "The Emerging Role of Microbiota and Microbiome in Pancreatic Ductal Adenocarcinoma." Biomedicines 8, no. 12 (2020): 565. http://dx.doi.org/10.3390/biomedicines8120565.

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Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive malignant tumors due to the absence of biomarkers for early-stage detection and poor response to therapy. Since mounting evidence supports the role of microbiota composition in tumorigenesis and cancer treatment, the link between microbiome and PDAC has been described. In this review, we summarize the current knowledge regarding the impact of the gut and oral microbiome on the risk of PDAC development. Microenvironment-driven therapy and immune system interactions are also discussed. More importantly, we provide an overview

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Schmidt, Alison, and Anthony Shanks. "Quadruple Screening in the Age of Cell-Free DNA: What are We Losing?" OBM Genetics 05, no. 03 (2021): 1. http://dx.doi.org/10.21926/obm.genet.2103138.

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Cell-free DNA has emerged as the most reliable, non-invasive prenatal screening tool for fetal aneuploidies. It has come to replace the previously widely used quadruple screen offered in the second trimester of pregnancy. This change comes with improved detection for aneuploidy but also presents potential gaps in prenatal diagnosis including detection of open fetal defects and emerging data on prediction of adverse pregnancy outcomes. This review article provides a historical summary of the quadruple marker screen and evaluates the intersection of this screen with cell-free DNA. Furthermore, i

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Shao, Meng. "Measurement and Trend Analysis of New Media Coverage Topics Based on Comment Big Data Mining." Mathematical Problems in Engineering 2022 (July 20, 2022): 1–8. http://dx.doi.org/10.1155/2022/1404468.

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With the rapid development of Internet, new media news has gradually become the most concerned information source of new media people. New media public opinion is a force that cannot be ignored. It needs monitoring and guidance. The research on hot topic discovery and trend analysis can timely find social hot topics and analyze the trend of topics, which is conducive to grasp the trend of public opinion, so as to correctly guide and maintain social stability. At the same time, the emerging industry of new media has sprung up like mushrooms after a rain, with a rapid momentum. With the advent o

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Mueller, B. L., N. P. Gillett, A. H. Monahan, and F. W. Zwiers. "Attribution of Arctic Sea Ice Decline from 1953 to 2012 to Influences from Natural, Greenhouse Gas, and Anthropogenic Aerosol Forcing." Journal of Climate 31, no. 19 (2018): 7771–87. http://dx.doi.org/10.1175/jcli-d-17-0552.1.

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The paper presents results from a climate change detection and attribution study on the decline of Arctic sea ice extent in September for the 1953–2012 period. For this period three independently derived observational datasets and simulations from multiple climate models are available to attribute observed changes in the sea ice extent to known climate forcings. Here we direct our attention to the combined cooling effect from other anthropogenic forcing agents (mainly aerosols), which has potentially masked a fraction of greenhouse gas–induced Arctic sea ice decline. The presented detection an

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Kam, Jonghun, Thomas R. Knutson, and P. C. D. Milly. "Climate Model Assessment of Changes in Winter–Spring Streamflow Timing over North America." Journal of Climate 31, no. 14 (2018): 5581–93. http://dx.doi.org/10.1175/jcli-d-17-0813.1.

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Over regions where snowmelt runoff substantially contributes to winter–spring streamflows, warming can accelerate snowmelt and reduce dry-season streamflows. However, conclusive detection of changes and attribution to anthropogenic forcing is hindered by the brevity of observational records, model uncertainty, and uncertainty concerning internal variability. In this study, the detection/attribution of changes in midlatitude North American winter–spring streamflow timing is examined using nine global climate models under multiple forcing scenarios. Robustness across models, start/end dates for

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Zhang, Zhicheng, Ismail Fidan, and Michael Allen. "Detection of Material Extrusion In-Process Failures via Deep Learning." Inventions 5, no. 3 (2020): 25. http://dx.doi.org/10.3390/inventions5030025.

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Additive manufacturing (AM) is evolving rapidly and this trend is creating a number of growth opportunities for several industries. Recent studies on AM have focused mainly on developing new machines and materials, with only a limited number of studies on the troubleshooting, maintenance, and problem-solving aspects of AM processes. Deep learning (DL) is an emerging machine learning (ML) type that has widely been used in several research studies. This research team believes that applying DL can help make AM processes smoother and make AM-printed objects more accurate. In this research, a new D

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Tripathi, Tripti, and Rakesh Kumar. "Performance Comparison of Machine Learning Algorithms for Dementia Progression Detection." International Journal of Software Science and Computational Intelligence 14, no. 1 (2022): 1–18. http://dx.doi.org/10.4018/ijssci.312553.

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Dementia is a neurological disease that that encompasses a wide range of conditions like verbal communication, problem-solving, and other judgment abilities that are severely sufficient to interfere with daily life. It is among the leading causes of vulnerability among the elderly all over the world. A considerable amount of research has been conducted in this area so that we can perform early detection of the disease, yet further research into its betterment is still an emerging trend. This article compares the performance of multiple machine learning models for dementia detection and classif

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Xu, Meng-Lei, Yu Gao, Xiao Wang, Xiao Xia Han, and Bing Zhao. "Comprehensive Strategy for Sample Preparation for the Analysis of Food Contaminants and Residues by GC–MS/MS: A Review of Recent Research Trends." Foods 10, no. 10 (2021): 2473. http://dx.doi.org/10.3390/foods10102473.

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Food safety and quality have been gaining increasing attention in recent years. Gas chromatography coupled to tandem mass spectrometry (GC–MS/MS), a highly sensitive technique, is gradually being preferred to GC–MS in food safety laboratories since it provides a greater degree of separation on contaminants. In the analysis of food contaminants, sample preparation steps are crucial. The extraction of multiple target analytes simultaneously has become a new trend. Thus, multi-residue analytical methods, such as QuEChERs and adsorption extraction, are fast, simple, cheap, effective, robust, and s

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Akhtar, Shahid Mehmood, and Javed Iqbal. "Assessment of emerging hydrological, water quality issues and policy discussion on water sharing of transboundary Kabul River." Water Policy 19, no. 4 (2017): 650–72. http://dx.doi.org/10.2166/wp.2017.119.

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Transboundary water sharing policy between Pakistan and Afghanistan along with emerging issues over the Transboundary Kabul River have been discussed incorporating long-term hydrological trend analysis, water quality issues and temporal changes in land cover/land use. The annual (1977–2015) mean river flow of 26.32 billion (109) cubic metres (BCM) with a range of 13.77 to 42.2 BCM and standard deviation of 6.026 BCM revealed no significant trend in annual inflow data of the Kabul River. Afghanistan planned developments in the basin were analysed in the light of reduction in the transboundary f

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Guraya, Salman Y. "The Prevalence and Evolving Risk Factors for Colorectal Cancer in the Arab World." Biomedical and Pharmacology Journal 11, no. 4 (2018): 1773–80. http://dx.doi.org/10.13005/bpj/1548.

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There is a global rise in the prevalence of colorectal cancer (CRC).Literature has shown an exponential growth in early detection and innovative strategies in treating CRC with some success. Despite preventive and screening measures, healthcare authorities have reported an increase in CRC in the Western as well as in the Arab world. Due to recent trend in adopting Western lifestyle by the Arab population, the current prevalence of CRC in the Arab world ranges from 19.8% to 38% and has been shown to affect younger population as well.In addition, new risk factors have been reported such as low s

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Hari Krishnan Andi. "AI-Powered Drug Detection System Utilizing Bioactivity Prediction and Drug Release Tracking." December 2022 4, no. 4 (2022): 263–73. http://dx.doi.org/10.36548/jaicn.2022.4.003.

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In recent years, Artificial Intelligence (AI) and Machine Learning technologies have played an emerging trend aiding in the creation of new medicines. Simply said, deep learning algorithms and artificial neural networks have brought a new level of sophistication to this field. In recent years, Artificial Intelligence through Machine Learning have been used in this area, and its use is supported by historical data. Additionally, freshly created modelling algorithms relied heavily on unique data mining, duration, and management strategies, which were compared to gauge overall efficiency. This pa

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Bagria, Vipin Kumar, and Bholi Meena. "Analysis of FinTech Enablers and Role of Future Internet of Things (IoT) in the New-Age Business World." International Journal of Management and Development Studies 12, no. 07 (2023): 29–37. http://dx.doi.org/10.53983/ijmds.v12n07.004.

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Financial institutions work very hard to make finance smarter in the present global trend to reap the rewards of digitization. Financial technology (Fintech) uses various modern disruptive technologies, including AI, 5G/6G, Blockchain, Metaverse, IoT, and others, in the financial sector to improve client services. Many critical financial services and procedures, including lending, verification, fraud detection, quality maintenance, credit scoring, and many more, will be streamlined and improved by the advent of technology. However, there is a need for the development of innovative financial pr

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Wu, Xiaohong, Xinyue Liang, Yixuan Wang, Bin Wu, and Jun Sun. "Non-Destructive Techniques for the Analysis and Evaluation of Meat Quality and Safety: A Review." Foods 11, no. 22 (2022): 3713. http://dx.doi.org/10.3390/foods11223713.

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With the continuous development of economy and the change in consumption concept, the demand for meat, a nutritious food, has been dramatically increasing. Meat quality is tightly related to human life and health, and it is commonly measured by sensory attribute, chemical composition, physical and chemical property, nutritional value, and safety quality. This paper surveys four types of emerging non-destructive detection techniques for meat quality estimation, including spectroscopic technique, imaging technique, machine vision, and electronic nose. The theoretical basis and applications of ea

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Magro, Cátia, Eduardo P. Mateus, Juan M. Paz-Garcia, Susana Sério, Maria Raposo, and Alexandra B. Ribeiro. "Electronic Tongue Coupled to an Electrochemical Flow Reactor for Emerging Organic Contaminants Real Time Monitoring." Sensors 19, no. 24 (2019): 5349. http://dx.doi.org/10.3390/s19245349.

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Triclosan, which is a bacteriostatic used in household items, has raised health concerns, because it might lead to antimicrobial resistance and endocrine disorders in organisms. The detection, identification, and monitoring of triclosan and its by-products (methyl triclosan, 2,4-Dichlorophenol and 2,4,6-Trichlorophenol) are a growing need in order to update current water treatments and enable the continuous supervision of the contamination plume. This work presents a customized electronic tongue prototype coupled to an electrochemical flow reactor, which aims to access the monitoring of triclo

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Apostol, Ioana, Marius Preda, Constantin Nila, and Ion Bica. "IoT Botnet Anomaly Detection Using Unsupervised Deep Learning." Electronics 10, no. 16 (2021): 1876. http://dx.doi.org/10.3390/electronics10161876.

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The Internet of Things has become a cutting-edge technology that is continuously evolving in size, connectivity, and applicability. This ecosystem makes its presence felt in every aspect of our lives, along with all other emerging technologies. Unfortunately, despite the significant benefits brought by the IoT, the increased attack surface built upon it has become more critical than ever. Devices have limited resources and are not typically created with security features. Lately, a trend of botnet threats transitioning to the IoT environment has been observed, and an army of infected IoT devic

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Hayat, Ahatsham, Preety Baglat, Fábio Mendonça, Sheikh Shanawaz Mostafa, and Fernando Morgado-Dias. "Novel Comparative Study for the Detection of COVID-19 Using CT Scan and Chest X-ray Images." International Journal of Environmental Research and Public Health 20, no. 2 (2023): 1268. http://dx.doi.org/10.3390/ijerph20021268.

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The number of coronavirus disease (COVID-19) cases is constantly rising as the pandemic continues, with new variants constantly emerging. Therefore, to prevent the virus from spreading, coronavirus cases must be diagnosed as soon as possible. The COVID-19 pandemic has had a devastating impact on people’s health and the economy worldwide. For COVID-19 detection, reverse transcription-polymerase chain reaction testing is the benchmark. However, this test takes a long time and necessitates a lot of laboratory resources. A new trend is emerging to address these limitations regarding the use of mac

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Lwimbo, Komakech, and Muzuka. "Impacts of Emerging Agricultural Practices on Groundwater Quality in Kahe Catchment, Tanzania." Water 11, no. 11 (2019): 2263. http://dx.doi.org/10.3390/w11112263.

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This paper assesses the impacts of farmers’ intensive use of agrochemicals (fertilizers and pesticides) on groundwater quality in the Kahe catchment. Samples were collected during the wet and dry seasons of the year 2018 and analyzed for the presence of agrochemicals in the water. Groundwater chemistry was dominated by magnesium-sodium-bicarbonate (Mg-Na-HCO3−). The cations levels were in the trend of Mg2+ >Na+ > Ca2+ > K+, whereas anions were HCO3− > Cl− > SO42− for both seasons. The NO3− had an average value of about 18.40 ± 4.04 and 7.6 ± 1.7 mg/L in the wet and dry season, r

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Al lelah, Turki, George Theodorakopoulos, Philipp Reinecke, Amir Javed, and Eirini Anthi. "Abuse of Cloud-Based and Public Legitimate Services as Command-and-Control (C&C) Infrastructure: A Systematic Literature Review." Journal of Cybersecurity and Privacy 3, no. 3 (2023): 558–90. http://dx.doi.org/10.3390/jcp3030027.

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The widespread adoption of cloud-based and public legitimate services (CPLS) has inadvertently opened up new avenues for cyber attackers to establish covert and resilient command-and-control (C&C) communication channels. This abuse poses a significant cybersecurity threat, as it allows malicious traffic to blend seamlessly with legitimate network activities. Traditional detection systems are proving inadequate in accurately identifying such abuses, emphasizing the urgent need for more advanced detection techniques. In our study, we conducted an extensive systematic literature review (SLR)

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Tang, Ying, Xuming Lou, Zifeng Chen, and Chengjin Zhang. "A Study on Dynamic Patterns of Technology Convergence with IPC Co-Occurrence-Based Analysis: The Case of 3D Printing." Sustainability 12, no. 7 (2020): 2655. http://dx.doi.org/10.3390/su12072655.

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Technology convergence has become a typical characteristic of innovation, which affects the evolution of industrial structures and the core competitiveness of organizations. However, the existing research has mainly focused on the development of core areas of convergence, ignoring the potential breakthroughs that emerging peripheral convergence may bring. Therefore, this research put forward a comprehensive methodology based on IPC (International Patent Classification) co-occurrence analysis to study the dynamic patterns of technology convergence from the perspectives of reinforcing convergenc

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Gul, Ijaz, Shiyao Zhai, Xiaoyun Zhong, et al. "Angiotensin-Converting Enzyme 2-Based Biosensing Modalities and Devices for Coronavirus Detection." Biosensors 12, no. 11 (2022): 984. http://dx.doi.org/10.3390/bios12110984.

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Rapid and cost-effective diagnostic tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are a critical and valuable weapon for the coronavirus disease 2019 (COVID-19) pandemic response. SARS-CoV-2 invasion is primarily mediated by human angiotensin-converting enzyme 2 (hACE2). Recent developments in ACE2-based SARS-CoV-2 detection modalities accentuate the potential of this natural host-virus interaction for developing point-of-care (POC) COVID-19 diagnostic systems. Although research on harnessing ACE2 for SARS-CoV-2 detection is in its infancy, some interesting biosensing

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Subramanian, Shyamala, Sashikala Mishra, Shruti Patil, Kailash Shaw, and Ebrahim Aghajari. "Machine Learning Styles for Diabetic Retinopathy Detection: A Review and Bibliometric Analysis." Big Data and Cognitive Computing 6, no. 4 (2022): 154. http://dx.doi.org/10.3390/bdcc6040154.

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Diabetic retinopathy (DR) is a medical condition caused by diabetes. The development of retinopathy significantly depends on how long a person has had diabetes. Initially, there may be no symptoms or just a slight vision problem due to impairment of the retinal blood vessels. Later, it may lead to blindness. Recognizing the early clinical signs of DR is very important for intervening in and effectively treating DR. Thus, regular eye check-ups are necessary to direct the person to a doctor for a comprehensive ocular examination and treatment as soon as possible to avoid permanent vision loss. N

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Losurdo, Giuseppe, Floriana Giorgio, Maria Pricci, et al. "Helicobacter pylori Primary and Secondary Genotypic Resistance to Clarithromycin and Levofloxacin Detection in Stools: A 4-Year Scenario in Southern Italy." Antibiotics 9, no. 10 (2020): 723. http://dx.doi.org/10.3390/antibiotics9100723.

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Antibiotic resistance has become an emerging problem for treating Helicobacter pylori (H. pylori) infection. Clarithromycin and levofloxacin are two key antibiotics used for its eradication. Therefore, we reviewed our experience with genotypic resistance analysis in stools to both clarithromycin and levofloxacin in the last four years to evaluate time trends, both in naive and failure patients. Patients collected a fecal sample using the THD fecal test device. Real-time polymerase chain reaction was performed to detect point mutations conferring resistance to clarithromycin (A2142C, A2142G, an

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Shults, Roman, Andriy Annenkov, Oleksandr Isaev, and Olena Nesterenko. "GIS Analysis of Temperature Variation in Ukraine for 2000-2020." Journal of Environmental Science and Engineering Technology 9 (October 18, 2021): 37–46. http://dx.doi.org/10.12974/2311-8741.2021.09.4.

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The presented paper is dedicated to the problem of temperature changes variations for Ukraine. As an input data source, NOAA National Centers for Environmental Information data were used. Based on preliminary studies, the temperature analysis workflow was developed. The feature of the deployed workflow is an application of GIS analysis for temperature trend detection. As the main functions of GIS analysis, overlay analysis and Kriging interpolation were used. The temperature surfaces were constructed using the Kriging interpolation method to determine the temperature trend. The overlay analysi

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Kini, Anita S., Prema K. V. Reddy, and Smitha N. Pai. "Techniques of deep learning and image processing in plant leaf disease detection: a review." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 3029. http://dx.doi.org/10.11591/ijece.v13i3.pp3029-3040.

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<span lang="EN-US">Computer vision techniques are an emerging trend today. Digital image processing is gaining popularity because of the significant upsurge in the usage of digital images over the internet. Digital image processing is a practice that can help in designing sophisticated high-end machines, which can hold <span>the ophthalmic functionality of the human eye. In agriculture, leaf examination</span> is important for disease identification and fair warning for any deficiency within the plant. Many prominent plant species are facing extinction because of a lack of kn

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Wang, Qing Dong, and Jian Feng Wei. "Wireless Transmission System Design of Main Shaft Hoist Load Data." Key Engineering Materials 439-440 (June 2010): 417–21. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.417.

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Wireless data communication technology under industrial environment is a new development trend in recent years, applying wireless technology to the field of data collection can solve problems and shortcomings caused by wired network, such as cabling, faulty inspection difficulties and so on. Safe operation of mine hoist matters much to the safety of mine production. As a result of the lack of detection measures hoist overload occurs from time to time, it poses a greater threat to safety in production. Combing sensor technology with emerging wireless communication technology, the wireless data

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Zhao, Yuan, Lu Zhang, Jiajun Deng, and Yanyong Zhang. "BEV-Radar: Bidirectional Radar-Camera Fusion for 3D Object Detection." JUSTC 53 (2023): 1. http://dx.doi.org/10.52396/justc-2023-0006.

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Exploring Millimeter Wave Radar data as complementary to RGB images for ameliorating 3D object detection has become an emerging trend for autonomous driving systems. However, existing Radar-camera fusion methods are highly dependent on the prior camera detection results, which renders the overall performance unsatisfactory. In this paper, we propose a bidirectional fusion scheme in the bird-eye view (BEV), which is independent of prior camera detection results. Leveraging features from both modalities, our method designs a bidirectional attention-based fusion strategy. Specifically, following

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Gökdemir, Fatma Şeyma, Özlem Darcansoy İşeri, Abhishek Sharma, Premila N. Achar, and Füsun Eyidoğan. "Metagenomics Next Generation Sequencing (mNGS): An Exciting Tool for Early and Accurate Diagnostic of Fungal Pathogens in Plants." Journal of Fungi 8, no. 11 (2022): 1195. http://dx.doi.org/10.3390/jof8111195.

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Crop output is directly impacted by infections, with fungi as the major plant pathogens, making accurate diagnosis of these threats crucial. Developing technology and multidisciplinary approaches are turning to genomic analyses in addition to traditional culture methods in diagnostics of fungal plant pathogens. The metagenomic next-generation sequencing (mNGS) method is preferred for genotyping identification of organisms, identification at the species level, illumination of metabolic pathways, and determination of microbiota. Moreover, the data obtained so far show that this new approach is p

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Beissinger, Abby, and Debra Ann Inglis. "Greenhouse Comparison of Two Detection Methods for Potato virus YN-Wi at Four Potato Growth Stages." Plant Health Progress 19, no. 1 (2018): 71–75. http://dx.doi.org/10.1094/php-11-17-0072-rs.

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Potato virus Y (PVY) causes significant crop and monetary losses. Owing to the prevalence of newly emerging strains of PVY such as PVYN-Wi, which often cause asymptomatic to mild reactions on certain potato cultivars, accurate tools are required to detect the virus in potato production. This study compared the sensitivity of a rapid field detection method (immunostrips) with a common laboratory detection method (triple antibody sandwich ELISA) on cultivar Chieftain, grown under isolated conditions in a greenhouse and mechanically inoculated with PVYN-Wi, at four potato growth stages (emergence

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Alonso-Montesinos, Joaquín. "Real-Time Automatic Cloud Detection Using a Low-Cost Sky Camera." Remote Sensing 12, no. 9 (2020): 1382. http://dx.doi.org/10.3390/rs12091382.

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Characterizing the atmosphere is one of the most complex studies one can undertake due to the non-linearity and phenomenological variability. Clouds are also among the most variable atmospheric constituents, changing their size and shape over a short period of time. There are several sectors in which the study of cloudiness is of vital importance. In the renewable field, the increasing development of solar technology and the emerging trend for constructing and operating solar plants across the earth’s surface requires very precise control systems that provide optimal energy production manageme

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Neujahr, Alison, Duan Loy, J. Dustin Loy, Bruce Brodersen, and Samodha Fernando. "66 Utilizing Third Generation Sequencing to Identify Pathogen Outbreaks Rapidly and Accurately." Journal of Animal Science 100, Supplement_2 (2022): 28. http://dx.doi.org/10.1093/jas/skac064.045.

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Abstract The temporal trend of novel pathogen identification has increased over the last decade, with viruses being the main contributor to the increase. Currently, the NAHLN provides veterinary surveillance and testing procedures for high consequence animal diseases, where in many cases, the detection of these diseases is based on real-time PCR assay (ASF, CSF, FMD, and IAV-S) or pathogen specific antibodies using ELISA methods (PRV). However, genetic shift and drift in virus genomes can lead to failure in detection of novel or emerging pathogens. Therefore, with the current trend of increase

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Natu, Rucha, Luke Herbertson, Grazziela Sena, Kate Strachan, and Suvajyoti Guha. "A Systematic Analysis of Recent Technology Trends of Microfluidic Medical Devices in the United States." Micromachines 14, no. 7 (2023): 1293. http://dx.doi.org/10.3390/mi14071293.

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In recent years, the U.S. Food and Drug Administration (FDA) has seen an increase in microfluidic medical device submissions, likely stemming from recent advancements in microfluidic technologies. This recent trend has only been enhanced during the COVID-19 pandemic, as microfluidic-based test kits have been used for diagnosis. To better understand the implications of this emerging technology, device submissions to the FDA from 2015 to 2021 containing microfluidic technologies have been systematically reviewed to identify trends in microfluidic medical applications, performance tests, standard

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Manchanda, Vikas. "Trend of Antimicrobial Susceptibility Profile of Vibrio cholera Strains Isolated in Indian Children’s during 2008-2016." Journal of Communicable Diseases 53, no. 01 (2021): 67–71. http://dx.doi.org/10.24321/0019.5138.202111.

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Background: The unique epidemiologic attribute of the cholera is its propensity to occur as an outbreak that may flare- up into epidemics, if not controlled. The causative bacterial pathogen Vibrio cholerae prevails in the environment and infects humans whenever there is a breakdown in the public health component. The upsurge in antimicrobial resistance directly influences the management and spread of the disease. Objectives: The present study documents the epidemiological profile and the changing trends in antimicrobial resistance of eight years (2008-2016) in Vibrio cholerae isolates. Method

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Pourezzat, Ali Asghar, Mohammad Hoseini Moghadam, Maryam Sani Ejlal, and Ghazaleh Taheriattar. "The future of governance in Iran." foresight 20, no. 2 (2018): 175–89. http://dx.doi.org/10.1108/fs-10-2017-0056.

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Purpose Through an examination of macro-historical studies on the governance of Iran, the purpose of this study is to identify the most significant and important events and trends in the rise and fall of Iranian governments and introduce alternative futures in a range of possible, plausible and preferable forms of future governance. To carry out a foresight study of alternative futures of Iranian governance, the authors used futures studies, based on the detection of the most critical driving forces, which are also the most important uncertainties. Futures studies as an interdisciplinary field

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Mumtaz, Zilwa, Zubia Rashid, Ashaq Ali, et al. "Prospects of Microfluidic Technology in Nucleic Acid Detection Approaches." Biosensors 13, no. 6 (2023): 584. http://dx.doi.org/10.3390/bios13060584.

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Conventional diagnostic techniques are based on the utilization of analyte sampling, sensing and signaling on separate platforms for detection purposes, which must be integrated to a single step procedure in point of care (POC) testing devices. Due to the expeditious nature of microfluidic platforms, the trend has been shifted toward the implementation of these systems for the detection of analytes in biochemical, clinical and food technology. Microfluidic systems molded with substances such as polymers or glass offer the specific and sensitive detection of infectious and noninfectious disease

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Tseng, Ryan, Ching-Chuen Chen, Sheng-Min Hsu, and Han-Sheng Chuang. "Contact-Lens Biosensors." Sensors 18, no. 8 (2018): 2651. http://dx.doi.org/10.3390/s18082651.

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Rapid diagnosis and screening of diseases have become increasingly important in predictive and preventive medicine as they improve patient treatment strategies and reduce cost as well as burden on our healthcare system. In this regard, wearable devices are emerging as effective and reliable point-of-care diagnostics that can allow users to monitor their health at home. These wrist-worn, head-mounted, smart-textile, or smart-patches devices can offer valuable information on the conditions of patients as a non-invasive form of monitoring. However, they are significantly limited in monitoring phy

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Bora, Mousumi, Manu M, Dayamon D. Mathew, Himasri Das, Durlav Prasad Bora, and Nagendra Nath Barman. "Point of care diagnostics and non-invasive sampling strategy: a review on major advances in veterinary diagnostics." Acta Veterinaria Brno 91, no. 1 (2022): 17–34. http://dx.doi.org/10.2754/avb202291010017.

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The use of point of care diagnostics (POCD) in animal diseases has steadily increased over the years since its introduction. Its potential application to diagnose infectious diseases in remote and resource limited settings have made it an ideal diagnostic in animal disease diagnosis and surveillance. The rapid increase in incidence of emerging infectious diseases requires urgent attention where POCD could be indispensable tools for immediate detection and early warning of a potential pathogen. The advantages of being rapid, easily affordable and the ability to diagnose an infectious disease on

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Hsu, Wei-Yen. "A customer-oriented skin detection and care system in telemedicine applications." Electronic Library 37, no. 6 (2019): 1007–21. http://dx.doi.org/10.1108/el-03-2019-0080.

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Purposed Virtual medical instrumentation plays a vital role in a telemedicine system that obtains data from the medical instrument, required by doctors at remote location to diagnose a patient. In recent years, the analysis of skin quality by telemedicine system has become an emerging trend. To allow the skin to complement the beauty products and achieve better improvement results, the purpose of this study is to provide advice on a system that can objectively evaluate the condition of the skin of the face and to match appropriate beauty and cosmetic products. Design/methodology/approach A nov

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Caja, Gerardo, Andreia Castro-Costa, and Christopher H. Knight. "Engineering to support wellbeing of dairy animals." Journal of Dairy Research 83, no. 2 (2016): 136–47. http://dx.doi.org/10.1017/s0022029916000261.

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Current trends in the global milk market and the recent abolition of milk quotas have accelerated the trend of the European dairy industry towards larger farm sizes and higher-yielding animals. Dairy cows remain in focus, but there is a growing interest in other dairy species, whose milk is often directed to traditional and protected designation of origin and gourmet dairy products. The challenge for dairy farms in general is to achieve the best possible standards of animal health and welfare, together with high lactational performance and minimal environmental impact. For larger farms, this m

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Calzolari, Mattia, Elena Carra, Gianluca Rugna, et al. "Isolation and Molecular Typing of Leishmania infantum from Phlebotomus perfiliewi in a Re-Emerging Focus of Leishmaniasis, Northeastern Italy." Microorganisms 7, no. 12 (2019): 644. http://dx.doi.org/10.3390/microorganisms7120644.

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Visceral leishmaniasis (VL) caused by Leishmania (L.) infantum is a public health threat in the Emilia-Romagna region, northeastern Italy, but its epidemiology has not been fully elucidated in this area. The objective of this study was to characterize Leishmania infection in sand flies collected in a re-emerging focus of VL in the Bologna province. During the summer of 2016, 6114 sand flies were collected, identified, and tested for Leishmania detection. Of the identified sand flies, 96.5% were Phlebotomus (P.) perfiliewi and 3.5% were P. perniciosus. Detected parasites were characterized by b

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