scholarly journals Gender aspects of urolithiasis development in patients with metabolic syndrome

2022 ◽  
Vol 20 (4) ◽  
pp. 123-130
Author(s):  
I. D. Bespalova ◽  
V. S. Boshchenko ◽  
Yu. I. Koshchavtseva ◽  
A. V. Tsoy ◽  
A. V. Teteneva ◽  
...  

The review summarizes and analyzes the results of domestic and major foreign studies of recent years concerning gender characteristics of the epidemiology and development mechanisms of metabolic syndrome and urolithiasis as an associated disease. A deep understanding of gender aspects in the pathogenesis of these pathologies can form the basis for development of high-quality diagnostic algorithms and pathogenetically grounded approaches to treatment. 

2020 ◽  
Vol 8 (1) ◽  
pp. e001181 ◽  
Author(s):  
Haoran Wu ◽  
Jiaxing Tian ◽  
Dan Dai ◽  
Jiangquan Liao ◽  
Xinmiao Wang ◽  
...  

Metabolic syndrome (MetS) is a multifarious metabolic disorder that could severely damage multiple organs. The emergence of MetS has markedly increased medical burden for patients. The treatment of MetS involves multitarget regulation, which is the advantage of traditional Chinese medicine (TCM). Many high-quality studies related to TCM for MetS have been conducted in recent years; however, no overall efficacy analysis has been reported. To evaluate the efficacy and safety of TCM against MetS, we reviewed randomized controlled trials of MetS published in the past decade and then selected and analyzed 16 high-quality articles from over 800 papers. The results showed that TCM might be beneficial in improving body weight as well as in regulating glucose and lipid metabolisms; thus, TCM might be an ideal alternative therapy for MetS management. Treatment safety was also estimated in our analysis. A more elaborately designed and long-term observation of TCM for MetS should be performed in the future.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Heyong Wang ◽  
Felix Utama Kosasih ◽  
Hongling Yu ◽  
Guanhaojie Zheng ◽  
Jiangbin Zhang ◽  
...  

AbstractAlthough perovskite light-emitting diodes (PeLEDs) have recently experienced significant progress, there are only scattered reports of PeLEDs with both high efficiency and long operational stability, calling for additional strategies to address this challenge. Here, we develop perovskite-molecule composite thin films for efficient and stable PeLEDs. The perovskite-molecule composite thin films consist of in-situ formed high-quality perovskite nanocrystals embedded in the electron-transport molecular matrix, which controls nucleation process of perovskites, leading to PeLEDs with a peak external quantum efficiency of 17.3% and half-lifetime of approximately 100 h. In addition, we find that the device degradation mechanism at high driving voltages is different from that at low driving voltages. This work provides an effective strategy and deep understanding for achieving efficient and stable PeLEDs from both material and device perspectives.


Author(s):  
Robert C. Atwood ◽  
Andrew J. Bodey ◽  
Stephen W. T. Price ◽  
Mark Basham ◽  
Michael Drakopoulos

Tomographic datasets collected at synchrotrons are becoming very large and complex, and, therefore, need to be managed efficiently. Raw images may have high pixel counts, and each pixel can be multidimensional and associated with additional data such as those derived from spectroscopy. In time-resolved studies, hundreds of tomographic datasets can be collected in sequence, yielding terabytes of data. Users of tomographic beamlines are drawn from various scientific disciplines, and many are keen to use tomographic reconstruction software that does not require a deep understanding of reconstruction principles. We have developed Savu , a reconstruction pipeline that enables users to rapidly reconstruct data to consistently create high-quality results. Savu is designed to work in an ‘orthogonal’ fashion, meaning that data can be converted between projection and sinogram space throughout the processing workflow as required. The Savu pipeline is modular and allows processing strategies to be optimized for users' purposes. In addition to the reconstruction algorithms themselves, it can include modules for identification of experimental problems, artefact correction, general image processing and data quality assessment. Savu is open source, open licensed and ‘facility-independent’: it can run on standard cluster infrastructure at any institution.


2021 ◽  
Vol 14 (11) ◽  
Author(s):  
Kirsty M. Hooper

ABSTRACT It has been 100 years since the discovery of insulin. This revolutionary treatment saves the lives of millions of people living with diabetes, but much remains to be understood of its mechanisms and roles in homeostasis and disease. To celebrate this centenary, we explore areas of ongoing insulin research in diabetes, metabolic syndrome and beyond. Disease Models & Mechanisms aims to publish high-quality basic and pre-clinical research that advances our understanding of these conditions to facilitate clinical and public health impact.


2017 ◽  
Vol 1 (35) ◽  
pp. 141
Author(s):  
Roza A Valeeva ◽  
Natalia N. Litvinova ◽  
Ewa M. Kulesza

R<em>esearch</em> has been necessitated by the current situation in our society where the victim behavior is forming among children and adolescents and their gender roles are changing. To identify the causes of formation of victim behavior based on the analysis of gender characteristics of adolescents. The main research methods are the Bass-Darky questionnaire, the modified Freiburg Personality Inventory/Form B (FPI-B), a technique of study personal orientation that allow to identify the typical forms of respondents’aggressive behavior, some personality traits; to allocate four major types of personal orientation (humanistic, egocentric, sociocentric, negativistic). Deformation of gender stereotypes in modern society is reflected in the manifestation of victim behavior. Level of aggression, as one of the signs of victimization, is quite high both among boys and girls. Also among this category, adolescents with negativist personality orientation, in which a teenager does not accept himself or others, prevail. The research has resulted in some victim behavior features among adolescents. No clear gendered features have been identified that can be explained as the result of changing gender roles in contemporary society. The study has been identified some traits of victim behavior among adolescents, but no clear gendered features have been identified, it can be explained as the result of social changing gender in contemporary society, the masculinization phenomenon among the female population in particular.


2020 ◽  
Vol 26 (4) ◽  
pp. 371-382
Author(s):  
V. S. Chulkov ◽  
E. A. Lenets ◽  
Vl. S. Chulkov ◽  
E. S. Gavrilova ◽  
E. E. Minina ◽  
...  

2019 ◽  
Vol 12 (4) ◽  
pp. 1 ◽  
Author(s):  
Sulaf Elshaar ◽  
Samira Sadaoui

Given the magnitude of online auction transactions, it is difficult to safeguard consumers from dishonest sellers, such as shill bidders. To date, the application of Machine Learning Techniques (MLTs) to auction fraud has been limited, unlike their applications for combatting other types of fraud. Shill Bidding (SB) is a severe auction fraud, which is driven by modern-day technologies and clever scammers. The difficulty of identifying the behavior of sophisticated fraudsters and the unavailability of training datasets hinder the research on SB detection. In this study, we developed a high-quality SB dataset. To do so, first, we crawled and preprocessed a large number of commercial auctions and bidders&rsquo; history as well. We thoroughly preprocessed both datasets to make them usable for the computation of the SB metrics. Nevertheless, this operation requires a deep understanding of the behavior of auctions and bidders. Second, we introduced two new SB patterns and implemented other existing SB patterns. Finally, we removed outliers to improve the quality of training SB data.


2021 ◽  
Vol 12 ◽  
Author(s):  
Martina Feierabend ◽  
Alina Renz ◽  
Elisabeth Zelle ◽  
Katharina Nöh ◽  
Wolfgang Wiechert ◽  
...  

Corynebacterium glutamicum belongs to the microbes of enormous biotechnological relevance. In particular, its strain ATCC 13032 is a widely used producer of L-amino acids at an industrial scale. Its apparent robustness also turns it into a favorable platform host for a wide range of further compounds, mainly because of emerging bio-based economies. A deep understanding of the biochemical processes in C. glutamicum is essential for a sustainable enhancement of the microbe's productivity. Computational systems biology has the potential to provide a valuable basis for driving metabolic engineering and biotechnological advances, such as increased yields of healthy producer strains based on genome-scale metabolic models (GEMs). Advanced reconstruction pipelines are now available that facilitate the reconstruction of GEMs and support their manual curation. This article presents iCGB21FR, an updated and unified GEM of C. glutamicum ATCC 13032 with high quality regarding comprehensiveness and data standards, built with the latest modeling techniques and advanced reconstruction pipelines. It comprises 1042 metabolites, 1539 reactions, and 805 genes with detailed annotations and database cross-references. The model validation took place using different media and resulted in realistic growth rate predictions under aerobic and anaerobic conditions. The new GEM produces all canonical amino acids, and its phenotypic predictions are consistent with laboratory data. The in silico model proved fruitful in adding knowledge to the metabolism of C. glutamicum: iCGB21FR still produces L-glutamate with the knock-out of the enzyme pyruvate carboxylase, despite the common belief to be relevant for the amino acid's production. We conclude that integrating high standards into the reconstruction of GEMs facilitates replicating validated knowledge, closing knowledge gaps, and making it a useful basis for metabolic engineering. The model is freely available from BioModels Database under identifier MODEL2102050001.


2020 ◽  
Vol 12 (2) ◽  
pp. 132-143
Author(s):  
Linda Lukita ◽  
Achmad Syarief ◽  
Slamet Riyadi ◽  
Andar Bagus Sriwarno

This study consisted of a perception evaluation and identification of scooter shapes that are attractive to female riders. A survey using a Likert scale was conducted on 150 female scooter riders, providing an evaluation of six different scooter shapes representing scooter designs in Indonesia. The result of the descriptive analysis showed that scooter designs in Indonesia are perceived as high-quality, comfortable to ride, able to be used by family members, fun to ride, relaxing, and giving self-confidence when they are ridden, all of which are physio-, socio- and psycho-pleasure factors, thus only achieving the visceral and behavioral phases. These perceptions are in accordance with the female gender (communal, high emotion and empathy). The scooter models considered to be attractive to female riders had perceptions related to the ideo-pleasure factor determined by shape details in the scooter design. The results of factor analysis showed a different composition of perception factors among scooter models. The conclusion of this study is that in addition to size, type and shape characteristics, designs, both the overall design and design details as well as gender characteristics influence the difference in visual perception by female riders toward scooter designs.  


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