Abnormal genes and pathways that drive muscle contracture from brachial plexus injuries: Towards machine learning approach.

In order to clarify the pathways closely linked to denervated muscle contracture, this work uses IoMT-enabled healthcare stratergies to examine changes in gene expression patterns inside atrophic muscles following brachial plexus damage. The gene expression Omnibus (GEO) database searching was used to locate the dataset GSE137606, which is connected to brachial plexus injuries. Strict criteria (|logFC|≥2 & adj.p < 0.05) were used to extract differentially expressed genes (DEGs). To identify dysregulated activities and pathways in denervated muscles, gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and Gene Set Enrichment Analysis (GSEA) were used. Hub genes were found using Cytoscape software's algorithms, which took into account parameters like as proximity, degree, and MNC. Their expression, enriched pathways, and correlations were then examined. The results showed that 316 DEGs were predominantly concentrated in muscle-related processes such as tissue formation and contraction pathways. Of these, 297 DEGs were highly expressed in denervated muscles, whereas 19 DEGs were weakly expressed. GSEA showed improvements in the contraction of striated and skeletal muscles. In addition, it was shown that in denervated muscles, Myod1, Myog, Myh7, Myl2, Tnnt2, and Tnni1 were elevated hub genes with enriched pathways such adrenergic signaling and tight junction. These results point to possible therapeutic targets for denervated muscular contracture, including Myod1, Myog, Myh7, Myl2, Tnnt2, and Tnni1. This highlights treatment options for this ailment which enhances the mental state of patient.

[Improvement of remote sensing ecological index and evaluation of ecological environment quality in Luanhe River Basin, China]. / 滦河流域遥感生态指数改进及生态环境质量评价.

To clarify ecological environment quality and its influencing factors, we constructed an improved remote sensing ecological index (ISREI) coupled with greenness, humidity, dryness and aerosol optical depth based on satellite remote sensing data. We evaluated the ecological environment quality of Luanhe River Basin by IRSEI, and investigated the influencing factors. The results showed that IRSEI were 0.488, 0.532, 0.563, and 0.586 in 2000, 2008, 2016, and 2022, respectively, indicating that ecological environment quality of the basin continued to rise. The ecological environment quality and its change were characterized by high in southeast and low in northwest, improvement in southeast and degradation in northwest. Annual precipitation, slope, land use, primary industry and tertiary industry were the key factors affecting the spatial variations of ecological environment quality. The interaction of these factors had a more significant impact on the ecological environment quality.

[Evaluation of agricultural drought in Luanhe River Basin based on the standardized soil moisture index.] / åŸºäºŽæ ‡å‡†åŒ–åœŸå£¤æ¹¿åº¦æŒ‡æ•°çš„æ»¦æ²³æµåŸŸå†œä¸šå¹²æ—±è¯„ä»·.

Drought is one of the main disasters causing agricultural production losses. Accurate and effective agricultural drought monitoring is of great significance to reduce agricultural production losses. In this study, the standardized soil moisture index for agricultural drought evaluation was established by using the historical time series of soil moisture. Based on the index, the temporal and spatial distribution of drought events in the Luanhe River Basin from 2002 to 2019 were analyzed, and the agricultural drought was quantitatively evaluated. The results showed that soil moisture of most grid units in the Luanhe River Basin obeyed normal distribution during the study period, and that the soil moisture of a few grid units obeyed generalized extreme distribution. The changes of drought and flood in each grid unit had good temporal consistency, that is, the changes of drought and flood was consistent. The changes of drought and flood in the middle of the basin was relatively significant, while the agricultural drought generally showed a trend of reduction. The spatial distribution of agricultural drought severity was not obvious. Relatively speaking, the drought characteristics (the frequency, duration and intensity of drought) were higher in the middle and northwest of the basin and lower in the southeast. The results could provide a reference for agricultural drought prediction and the formulation of drought prevention and mitigation measures in the Luanhe River Basin.

[Effect of meteorological factors on design farmland drainage modulus.] / æ°”è±¡å› å­å¯¹å†œç”°è®¾è®¡æŽ’æ¶æ¨¡æ•°çš„å½±å“.

Calculation of design drainage modulus is of great importance for the safety of farmland and reduction of waterlogging loss. We investigated the effects of main meteorological factors on design farmland drainage modulus by focusing on a closed farmland area in Ninghe District of Tianjin City. To resolve the problem of limited observation, the parameter sensitivity was analyzed according to mutual information and partial rank correlation coefficient aiming at the total runoff depth based on field observation experiment. The reasonable parameters were obtained by combining with soil water content and the relative variation of groundwater level. Then, a three-source runoff yield model coupling of excess infiltration and saturation was established to estimate runoff and design drainage modulus, and the effects of meteorological factors such as precipitation and evaporation on drainage modulus were analyzed. Results showed that summer precipitation significantly reduced and evaporation varied a little during 1960-2015. The corresponding drainage modulus decreased with the reduction of precipitation. When return period increased, the magnitude of the reduction in precipitation as well as the design drainage modulus increased. However, the effects of meteorological factors on design drainage modulus was generally inapparent. Thus, we concluded that the current drainage modulus is suitable for the study area.