Employee Surveillance Technologies: Prevalence, Classification, and Invasiveness
Surveillance & Society, 2023 The pandemic-generated shift to remote work, along with the increasing datafication of work processes, has triggered an unprecedented raise in the use of employee surveillance technologies.
Luc Cousineau +2 more
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Expanding the Phenotypic Spectrum of DICER1 Syndrome: Case Report with Overgrowth, Macrocephaly, Multinodular Goiter, and Lung Cyst [PDF]
ChildrenBackground: DICER1 syndrome is an autosomal dominant disorder with reduced penetrance and variable expressivity, predisposing carriers to a broad spectrum of benign and malignant tumors as well as non-neoplastic features.
Yuliya Bazdarska +2 more
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Full-Spectrum Surveillance of Pre-Treatment HIV Drug Resistance in Southeastern China [PDF]
PharmaceuticalsHIV drug resistance compromises the ability of anti-retroviral therapy (ART) to suppress viral replication, resulting in treatment failure. This study investigates the prevalence of pre-treatment drug resistance (PDR) in newly diagnosed individuals in a ...
Jiafeng Zhang +12 more
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A comparison of machine learning algorithms for the surveillance of autism spectrum disorder.
PLoS ONE, 2019 OBJECTIVE:The Centers for Disease Control and Prevention (CDC) coordinates a labor-intensive process to measure the prevalence of autism spectrum disorder (ASD) among children in the United States. Random forests methods have shown promise in speeding up
Scott H Lee +2 more
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IEEE Access, 2021 Estimation of interleaver parameter from scant received data has recently been researched. In this paper, we propose an improved algorithm for blind estimation of interleaver parameter using matrix multiplication under the condition of scant received ...
Yongseok Jung +2 more
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Blind Estimation of Interleaver Parameter With a Limited Number of Data
IEEE Access, 2020 In non-cooperative contexts, one needs to estimate communication parameters by using collected data without any prior information. Particularly, when collecting only a limited number of data, estimation becomes a more challenging task.
Mingyu Jang +3 more
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Blind Interleaver Parameter Estimation From Scant Data
IEEE Access, 2020 A method for blind estimation of interleaver parameter was recently reported which made additional data from a limited amount of received data. However, the process of making additional data creates undesirable linearity which degrades estimation ...
Mingyu Jang +3 more
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Overview on population screening for carriers with germline BRCA mutation in China
Frontiers in Oncology, 2022 Carriers with BRCA1/2 germline pathogenic variants are associated with a high risk of breast and ovarian cancers (also pancreatic and prostate cancers).
Huijun Lei +10 more
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SPECTRUM-BASED OBJECT DETECTION AND TRACKING TECHNIQUE FOR DIGITAL VIDEO SURVEILLANCE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 This paper presents a motion detection and object tracking technique for digital video surveillance applications. Motion analysis algorithms are based on processing of multiple-regression pseudospectrums. Complete object detection and tracking scheme is
B. Vishnyakov, Y. Vizilter, V. Knyaz
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Improved Method for Interleaving Parameter Estimation in a Non-Cooperative Context
IEEE Access, 2019 In a non-cooperative context, a sequence acquired from remote sensing through satellites and aircraft can be recognized as an unknown sequence to a receiver who lacks the information of the transmission parameters.
Geunbae Kim, Mingyu Jang, Dongweon Yoon
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