A TB model: Is disease eradication possible in India? by Surabhi Pandey, Ezio Venturino

“…TB is a severe disease in India, while, worldwide, the WHO estimates that one third of the entire world population is infected.Nowadays, incidence estimation relies increasingly more on notifications of new cases from routine surveillance. There is an urgent need for better estimates of the load of TB, in high-burden settings. …”
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Road safety behavior and related injuries among college students of urban Bengaluru by Rana Sarvar, P. K. Sreenath Menon, M. D. Sangeetha

“…Data were collected using the World Health Organization STEP-wise approach to surveillance violence and injury module, administered through Google Forms. …”
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Summer Watering Patterns of Mule Deer in the Great Basin Desert, USA: Implications of Differential Use by Individuals and the Sexes for Management of Water Resources by Andrew V. Shields, Randy T. Larsen, Jericho C. Whiting

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Global mapping of epidemic risk assessment toolkits: A scoping review for COVID-19 and future epidemics preparedness implications. by Bach Xuan Tran, Bach Xuan Tran, Long Hoang Nguyen, Linh Phuong Doan, Tham Thi Nguyen, Giang Thu Vu, Hoa Thi Do, Huong Thi Le, Carl A Latkin, Cyrus S H Ho, Roger C M Ho

“…Some important issues for disease detection and surveillance, such as laboratory or capacity of the community for disease control, were not adequately addressed in several toolkits. …”
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Energy-Efficient Discrete Cosine Transform Architecture Using Reversible Logic for IoT-Enabled Consumer Electronics by Muhammad Awais, Wilayat Khan, Tallha Akram, Yunyoung Nam

“…This paper introduces a novel Discrete Cosine Transform (DCT) architecture implemented using reversible logic to meet the requirements for effective data compression in IoT systems, such as smart surveillance and wearable health monitors. The proposed 8-point fully parallel DCT leverages a customized datapath based on a standard cell approach, integrating pass transistor logic and a full custom layout in UMC 90 nm CMOS technology. …”
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High Steroid Sensitivity among Children with Nephrotic Syndrome in Southwestern Nigeria by Taiwo Augustina Ladapo, Christopher Imokhuede Esezobor, Foluso Ebun Lesi

“…This is likely attributable to the lower age structure of our cohort as well as possible changing epidemiology of some other childhood diseases. Surveillance of the epidemiology of childhood nephrotic syndrome and corresponding modifications in practice are therefore recommended.…”
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Treatment Choices for Tenosynovial Giant Cell Tumor: Surgery or Observation? by Hairong XU, Jing CHEN, Xiaohui NIU

“…Drug therapy and active surveillance have become important treatment options for unresectable or high-recurrence-risk TGCT. …”
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A comprehensive outline of antimicrobial resistance, antibiotic prescribing, and antimicrobial stewardship in South Africa: A scoping review protocol. by Suwayda Ahmed, Rukshana Ahmed, Razia Zulfikar Adam

“…Studies that are published in English for the period 2019-2024, and that explore antimicrobial resistance (AMR) evidence in healthcare in South Africa, including antibiotic prescribing trends and antimicrobial stewardship and surveillance initiatives will be included. Non-English publications, studies outside of South Africa, animal and environmental studies will be excluded. …”
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Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks by Zixi Jia, Bo Guan

“…The surveillance system, which is mainly used for detecting and tracking moving targets, is one of the most significant applications of wireless sensor networks. …”
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An HPLC-based Assay to Study the Activity of Cyclic Diadenosine Monophosphate (C-di-AMP) Synthase DisA from Mycobacterium smegmatis by Avisek Mahapa, Sudhanshu Gautam, Arti Rathore, Dipankar Chatterji

“…Besides the bacterial system, c-di-AMP signaling is also connected with the host cytoplasmic surveillance pathways (CSP) that induce type-I IFN responses through STING-mediated pathways. …”
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Rapid Driving Style Recognition in Car-Following Using Machine Learning and Vehicle Trajectory Data by Qingwen Xue, Ke Wang, Jian John Lu, Yujie Liu

“…The purpose of this study is to develop a driving style recognition method based on vehicle trajectory data extracted from the surveillance video. First, three rear-end collision surrogates, Inversed Time to Collision (ITTC), Time-Headway (THW), and Modified Margin to Collision (MMTC), are selected to evaluate the collision risk level of vehicle trajectory for each driver. …”
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Analysis of data on cyanobacteria and cyanotoxins in public supply reservoirs (São Paulo, Brazil) by de Souza Bronstein Caroline Augusta, Moschini-Carlos Viviane

“…Data were obtained from the Drinking Water Quality Surveillance Information System (SISAGUA), the Autonomous Water and Sewage Service (SAAE), and the Environmental Company of the State of São Paulo (CETESB). …”
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HUMAN RESOURCES CAPACITY OF NATIONAL VETERINARY SERVICES IN RUSSIAN FEDERATION TERRITORIAL SUBJECTS by M. A. Shibayev, I. M. Klinovitskaya, A. S. Oganesyan, A. V. Belchikhina, A. K. Karaulov

“…The analysis was made both in general for the subject veterinary services and for their separate organizational levels: regional, local, laboratory as well as for the units, involved into the state veterinary surveillance on the regional level. The data about available number of veterinarians and stafng levels of veterinary institutions in the territorial subjects are discussed. …”
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A Small Target Detection Method Based on the Improved FCN Model by Guofeng Ma

“…Common small target detection (STD) is mainly used in intelligent transportation, video surveillance, and other fields. Small targets have small size, few pixels, and low resolution and are easily blocked. …”
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An Appearance Invariant Gait Recognition Technique Using Dynamic Gait Features by Hajra Masood, Humera Farooq

“…Gait recognition-based person identification is an emerging trend in visual surveillance due to its uniqueness and adaptability to low-resolution video. …”
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Portable solutions for plant pathogen diagnostics: development, usage, and future potential by Anurag Yadav, Kusum Yadav

“…Furthermore, the integration of these devices with digital technologies, including the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), is transforming disease surveillance and management. While portable diagnostics have clear advantages in speed, cost-effectiveness, and user accessibility, challenges related to sensitivity, durability, and regulatory standards remain. …”
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Severe Myositis, Myocarditis, and Myasthenia Gravis with Elevated Anti-Striated Muscle Antibody following Single Dose of Ipilimumab-Nivolumab Therapy in a Patient with Metastatic M... by Mahdieh Fazel, Patrick M. Jedlowski

“…., ipilimumab-nivolumab). Postmarketing surveillance has identified rare but at times life-threatening adverse effects associated with these agents in combination and as monotherapy, which include myocarditis, myositis, myasthenia gravis (MG), and hepatotoxicity. …”
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Enhancing Coverage and Efficiency in Wireless Sensor Networks: A Review of Optimization Techniques by Rajasekaran S, Shaik Mastan Vali

“…Wireless Sensor Networks (WSNs) are vital for applications such as environmental monitoring, surveillance, and healthcare, where comprehensive network coverage is essential for accurate data collection. …”
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Prediction and diagnosis of cardiovascular disease using cloud and machine learning design by K. Babu, A. Gokula Chandar, S. Kannadhasan

“…But the method that is being suggested uses a cloud-based and cloud-based four-step process to improve surveillance of patients’ health information. This is done to improve the process of forecasting patients’ health information. …”
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A Dual-Hierarchy Synchronization Method for Signal Preambles with High Detection Rates for Satellite-Based ADS-B Receivers with Different Sensitivities by Xinhui Jian, Xuejun Zhang, Jianxiang Ma, Weidong Zhang

“…Existing methods are unable to achieve high detection rates and low false alarm rates of satellite-based Automatic Dependent Surveillance-Broadcast (ADS-B) signal preambles at extremely low signal-to-noise ratios (SNRs) using limited on-star resources. …”
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