Bat borne disease have attracted many researchers for years. The ability of the bat to host several exogenous viruses has been a focal point in research lately. The latest pandemic shifted the focus of scholars towards understanding the difference in response to viral infection between humans and bats. In a way to understand the basis of the interaction and behaviour between SARS-CoV-2 and the environment, a conflict between different researchers across the globe arose. This conflict asked many questions about the truth of virus-host integration, whether an interaction between RNA viruses and human genomes has ever been reported, the possible route and mechanism that could lead to genomic integration of viral sequences and the methods used to detect integration. This article highlights those questions and will discuss the diverse opinions of the controversy and provide examples on reported integration mechanisms and possible detection techniques.
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http://dx.doi.org/10.1002/rmv.2511 | DOI Listing |
Nanotechnology
January 2025
Nanjing University of Posts and Telecommunications, Nanjing University of Posts and Telecommunications, Kuala Lumpur, Selangor, 50603, MALAYSIA.
Two-dimensional Transition Metal Dichalcogenides (2D TMDs) have garnered significant attention in the field of materials science due to their remarkable electronic and optoelectronic properties, including high carrier mobility and tunable band gaps. Despite the extensive research on various TMDs, there remains a notable gap in understanding the synthesis techniques and their implications for the practical application of monolayer tungsten disulfide (WS2) in optoelectronic devices. This gap is critical, as the successful integration of WS2 into commercial technologies hinges on the development of reliable synthesis methods that ensure high quality and uniformity of the material.
View Article and Find Full Text PDFBiomed Phys Eng Express
January 2025
Applied Sciences, Indian Institute of Information Technology Allahabad, Deoghat, Jhalwa, Allahabad, 211012, INDIA.
Photoacoustic tomography (PAT) is a non-destructive, non-ionizing, and rapidly expanding hybrid biomedical imaging technique, yet it faces challenges in obtaining clear images due to limited data from detectors or angles. As a result, the methodology suffers from significant streak artifacts and low-quality images. The integration of deep learning (DL), specifically convolutional neural networks (CNNs), has recently demonstrated powerful performance in various fields of PAT.
View Article and Find Full Text PDFAnal Chem
January 2025
Environment Research Institute, Shandong University, Qingdao 266237, China.
Globally, drug-impaired driving fatalities now exceed those from drunk driving, urging the need for on-site and roadside detection methods. In this study, a photothermal desorption and reagent-assisted low-temperature plasma ionization miniature ion trap mass spectrometer (PDRA-LTP-ITMS) was developed for on-site detection of drug-impaired driving. The pseudomultiple reaction monitoring (MRM) in PDRA-LTP-ITMS enables continuous ion selection during ion introduction and improved sensitivity to nearly 3-fold compared with the conventional full scan mode.
View Article and Find Full Text PDFAnnu Rev Clin Psychol
January 2025
3Department of Psychology, Stony Brook University, Stony Brook, New York, USA.
Most people with mental health needs cannot access treatment; among those who do, many access services only once. Accordingly, single-session interventions (SSIs) may help bridge the treatment gap. We conducted the first umbrella review synthesizing research on SSIs for mental health problems and service engagement in youth and adults.
View Article and Find Full Text PDFACS Sens
January 2025
Department of Physics and Astronomy, Franklin College of Arts and Sciences, The University of Georgia, Athens, Georgia 30602, United States.
Multiple respiratory viruses can concurrently or sequentially infect the respiratory tract, making their identification crucial for diagnosis, treatment, and disease management. We present a label-free diagnostic platform integrating surface-enhanced Raman scattering (SERS) with deep learning for rapid, quantitative detection of respiratory virus coinfections. Using sensitive silica-coated silver nanorod array substrates, over 1.
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