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No significant differences were found between the three OSAS subgroups in all segmented macular layers and pRNFL measurements.

The results of this study showed relatively thinner nasal pRNFL, total RT, IRL, ORL, PRL and GCL layers in OSAS patients compared to healthy subjects. Moreover, this thinning of the segmented layers was unrelated to disease severity.
The results of this study showed relatively thinner nasal pRNFL, total RT, IRL, ORL, PRL and GCL layers in OSAS patients compared to healthy subjects. Moreover, this thinning of the segmented layers was unrelated to disease severity.
The association between liver enzymes and metabolic syndrome (MetS) has been evaluated in several studies with different results. The purpose of this study is to determine the association between the serum levels of these liver enzymes and MetS in Tabari cohort population.

In this case-control study, data collected from the enrolment phase of the Tabari cohort population have been used. MetS was defined based on IDF (international diabetes federation) standards. Then, 476 patients with MetS (case group) and 476 age-sex matched controls were selected randomly.

Mean aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels were higher in case group than control group (20.59 vs. 19.99 respectively, p = 0.339 and 24.64 vs. 20.16 respectively, p < 0.001). The chance of having MetS, high triglyceride, and fasting blood glucose (FBG) was significantly higher in people with ALT ≥ 40 (1.63, 2.35, and 2.02, respectively). The chance of having MetS in people with AST ≥ 40 was 1.45 times higher than that among those with normal AST level (p > 0.05).

This study showed that there is an association between liver enzymes and MetS as well as some of its components. Liver enzymes, especially ALT, can be used as an early indicator of MetS in the at risk population.
This study showed that there is an association between liver enzymes and MetS as well as some of its components. Liver enzymes, especially ALT, can be used as an early indicator of MetS in the at risk population.Small-scale inland capture fisheries provide an important source of nutritious food, employment and income to millions of people in developing countries, particularly in rural environments where limited alternatives exist. However, the sector is one of most under-valued fisheries sectors and is increasingly experiencing environmental change. This study adopts a Sustainable Livelihoods Approach and investigates how important a fluctuating inland fishery is to livelihoods, and how local perceptions on challenges corresponds to global evidence. Through an innovative participatory method; photovoice, the lived experiences and perceptions of fishers are depicted. The findings illuminate the valuable role of the sector to food and nutrition security and the complex nexus with vulnerability to climate change. The study responds to the call for more local level assessments of the impacts of climate change on inland fisheries in data-limited environments, and the value of the sector in underpinning the Sustainable Development Goals.Progress in NMR in general and in biomolecular applications in particular is driven by increasing magnetic-field strengths leading to improved resolution and sensitivity of the NMR spectra. Recently, persistent superconducting magnets at a magnetic field strength (magnetic induction) of 28.2 T corresponding to 1200 MHz proton resonance frequency became commercially available. We present here a collection of high-field NMR spectra of a variety of proteins, including molecular machines, membrane proteins, viral capsids, fibrils and large molecular assemblies. We show this large panel in order to provide an overview over a range of representative systems under study, rather than a single best performing model system. We discuss both carbon-13 and proton-detected experiments, and show that in 13C spectra substantially higher numbers of peaks can be resolved compared to 850 MHz while for 1H spectra the most impressive increase in resolution is observed for aliphatic side-chain resonances.Millions of pilgrims visit Lourdes each year, often seeking revitalisation rather than miraculous cures. We sought to understand the phenomenon of transcendent experiences. We spoke with 67 pilgrims including assisted pilgrims, young volunteers and medical staff. About two in five reported a transcendent experience some felt they had communicated or had close contact with a divine presence, while others reported a powerful experience of something intangible and otherworldly. Transcendent experiences are an important feature of pilgrimage to Lourdes and the place offers the faithful a means of connecting with the divine, with nature and with the self.Predicting the interactions between microRNAs (miRNAs) and target genes is of great significance for understanding the regulatory mechanism of miRNA and treating complex diseases. The emergence of large-scale, heterogeneous biological networks has offered unprecedented opportunities for revealing miRNA-associated target genes. However, there are still some limitations about automatically learn the feature information of the network in the existing methods. Since network representation learning can self-adaptively capture structure information of the network, we propose a framework based on heterogeneous network representation, MDCNN (Metapath-Based Deep Convolutional Neural Network), to predict the associations between miRNAs and target genes. MDCNN samples the paths between the node pairs in the form of meta-path based on the heterogeneous information network (HIN) about miRNAs and target genes. Then the node feature and the path feature which is learned by the Deep Convolutional Neural Network (DCNN) are spliced together as the representation of the miRNA-target gene, to predict the miRNA-target gene interactions. The experiment results indicate that the performance of MDCNN outperforms other methods in multiple validation metrics by fivefold cross validation. We set an ablation study to identify the necessity of miRNA similarity and target gene similarity for improving the prediction ability of MDCNN. The case studies on hsa-miR-26b-5p and CDKN1A further demonstrates that MDCNN can successfully predict potential miRNA-target gene interactions.The karst region of Southwest China is one of the largest in the world. Due to the effects of human activities and climate change, rocky desertification has become the primary ecological disaster which has significantly hindered the economic growth in Southwest China. In recent decades, the Chinese government has carried out a number of ecological restoration projects in Southwest China. This study aims to analyze the changes in vegetation coverage and its main driving factors in the Southwest China and the karst region of Southwest China from 2001 to 2015 through trend analysis, Hurst index correlation analysis, correlation analysis, and residual analysis. The results showed that (1) both Southwest China and the karst region of Southwest China experienced significant increasing trends in annual fractional vegetation cover, at a rate of 0.0028 year-1 and 0.0029 year-1, respectively; (2) the NDVI of the Southwest China and the karst region of Southwest China was stable, and the vegetation coverage areas showed low to medium fluctuations, accounting for 97.17% and 98.32% respectively; (3) the NDVI of the Southwest China and the karst region of Southwest China had strong sustainability, and the sustainable and improved regions account for 74.79% and 75.77% respectively; and (4) climate change had little influence on vegetation restoration, and human activities had a great influence on vegetation restoration. The relative contribution rates of human activities and climate change to vegetation NDVI changes in the Southwest China were 86% and 14%, respectively, and 90% and 10% in karst regions of Southwest China. Our findings contribute to a better understanding of the mechanisms of vegetation change in karst region and may provide scientific support for local vegetation restoration and conservation policies.The objectives of the present study were first to determine the residual contents of total aflatoxins (AFTs), lead (Pb), and cadmium (Cd) in the edible tissues of the cattle reared in Al-Ahsa, Saudi Arabia. Al-Ahsa is the largest governorate in the Eastern Province of Saudi Arabia. The two main economic activities of Al-Ahsa are oil production (industrial) and agriculture. Besides, dietary intake and possible health risks for Saudi population were further calculated. In order to establish potential molecular biomarkers for xenobiotic exposure in cattle, the mRNA expression of xenobiotic-metabolizing enzymes (XMEs) including cytochrome P450 (CYP) 1A1, NAD(P)H dehydrogenase [quinone] 1 (NQO1), metallothionein (MT) 1A, and heat shock protein (HSP) 70 was investigated in the different tissues of the cattle. The tested XMEs were selected because of their specific roles in the metabolism and detoxification of AFTs, Pb, and Cd. The obtained results revealed that the liver had significantly the highest AFT content, while all examined muscle samples had no AFT residues. Consumption of the bovine liver and kidneys represents the highest source for the dietary exposure to total AFTs (0.05-0.98 μg/kg/day), Pb (0.06-0.19 mg/kg/day), and Cd (0.08-0.19 mg/kg/day) among the examined tissues. Therefore, excessive intake of such organs might pose a public health concern, particularly among children. Significant upregulation of mRNA expressions of CYP1A1, NQO1, MT1A, and HSP70 was observed in the different tissues of the cattle in comparison with the muscle. learn more This upregulation had significant positive correlation with the accumulated AFTs, Pb, and Cd. This indicates the possible use of CYP1A1, NQO1, MT1A, and HSP70 as potential biomarkers for the exposure of the cattle to AFTs, Pb, and Cd.The mechanism of how environmental regulations (ERs) affect export sophistication (ES) is complex, and for many years, it has been a hot topic for researchers. However, few previous studies have focused on whether ERs can promote the upgrading of China's ES through foreign direct investment (FDI). To address this research gap, in this study, ERs, FDI, and ES were incorporated into one novel research framework. Based on the provincial panel data of China for the period ranging from 2004 to 2016, the system generalized method of moments (SYS-GMM) was utilized to analyze the mutual relationship between FDI, ERs, and ES. Then, the panel threshold model was employed to empirically investigate the upgrading of the ES that is determined by FDI under different-intensity ERs. The results were as follows First, ERs lead the influx of foreign capital to China, as a "pollution shelter" of developed countries, but excessive ERs have negative effects on FDI, resulting in an inverted U-shaped relationship between ERs and FDI. Second, the upgrading of the ES was affected by FDI, with the trend following a U-shaped curve. Third, the ERs have significant direct effects on the upgrading of the ES in the form of a U-shaped relationship, which was determined by the combined "innovation compensation" and "cost offset" effects. Finally, the environmental regulations had indirect influences on the upgrading of the export sophistication through the linkage effect of FDI in the form of an N-shaped relationship. Based on the aforementioned achievements, some policy recommendations were proposed to promote the upgrading of the ES in the future.
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