scholarly journals Effective Parametric Image Sequencing Technology with Aggregate Space Profound Training

2021 ◽  
Vol 1964 (6) ◽  
pp. 062070
Author(s):  
S Rajeshkannan ◽  
Suman Mishra ◽  
T R Ganesh Babu ◽  
N Mohankumar
2020 ◽  
Vol 140 (1) ◽  
Author(s):  
Chiara Turchi ◽  
Filomena Melchionda ◽  
Mauro Pesaresi ◽  
Eleonora Ciarimboli ◽  
Carla Bini ◽  
...  

Author(s):  
Dong-Yu Kan ◽  
Su-Juan Li ◽  
Chen-Chen Liu ◽  
Ren-Rong Wu

Schizophrenia is a chronic and severe mental disorder with antipsychotics as primary medications, but the antipsychotic-induced metabolic side effects may contribute to the elevated risk of overall morbidity and mortality in patients with psych-iatric diseases. With the development in sequencing technology and bioinformatics, dysbiosis has been shown to contribute to body weight gain and metabolic dysfunction. However, the role of gut microbiota in the antipsychotic-induced metabolic alteration remains unknown. In this paper, we reviewed the recent studies of the gut microbiota with psychiatric disorders and antipsychotic-induced metabolic dysfunction. Patients with neuropsychiatric disorders may have a different composi-tion of gut microbiota compared with healthy controls. In addition, it seems that the use of antipsychotics is concurrently associated with both altered composition of gut microbiota and metabolic disturbance. Further study is needed to address the role of gut microbiota in the development of neuropsychiatric disorders and antipsychotic-induced metabolic disturbance, to develop novel therapeutics for both neuropsychiatric disorders and metabolic dysfunction.


RSC Advances ◽  
2021 ◽  
Vol 11 (41) ◽  
pp. 25484-25496
Author(s):  
Wei Zhou ◽  
Weiying Li ◽  
Jiping Chen ◽  
Yu Zhou ◽  
Zhongqing Wei ◽  
...  

Drinking water microbial diversity influence in full-scale water supply systems.


Author(s):  
Simon Casassus ◽  
Matías Vidal ◽  
Carla Arce-Tord ◽  
Clive Dickinson ◽  
Glenn J White ◽  
...  

Abstract Cm-wavelength radio continuum emission in excess of free-free, synchrotron and Rayleigh-Jeans dust emission (excess microwave emission, EME), and often called ‘anomalous microwave emission’, is bright in molecular cloud regions exposed to UV radiation, i.e. in photo-dissociation regions (PDRs). The EME correlates with IR dust emission on degree angular scales. Resolved observations of well-studied PDRs are needed to compare the spectral variations of the cm-continuum with tracers of physical conditions and of the dust grain population. The EME is particularly bright in the regions of the ρ Ophiuchi molecular cloud (ρ Oph) that surround the earliest type star in the complex, HD 147889, where the peak signal stems from the filament known as the ρ Oph-W PDR. Here we report on ATCA observations of ρ Oph-W that resolve the width of the filament. We recover extended emission using a variant of non-parametric image synthesis performed in the sky plane. The multi-frequency 17 GHz to 39 GHz mosaics reveal spectral variations in the cm-wavelength continuum. At ∼30 arcsec resolutions, the 17-20 GHz intensities follow tightly the mid-IR, Icm∝I(8 μm), despite the breakdown of this correlation on larger scales. However, while the 33-39 GHz filament is parallel to IRAC 8 μm, it is offset by 15–20 arcsec towards the UV source. Such morphological differences in frequency reflect spectral variations, which we quantify spectroscopically as a sharp and steepening high-frequency cutoff, interpreted in terms of the spinning dust emission mechanism as a minimum grain size acutoff ∼ 6 ± 1 Å that increases deeper into the PDR.


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