Objectives: The objective of this study was to provide a new classification method by analyzing the relationship between urine color (Ucol) distribution and urine dry chemical parameters based on image digital processing. Furthermore, this study aimed to assess the reliability of Ucol to evaluate the states of body hydration and health.Methods: A cross-sectional study among 525 college students, aged 17–23 years old, of which 59 were men and 466 were women, was conducted. Urine samples were obtained during physical examinations and 524 of them were considered valid, including 87 normal samples and 437 abnormal dry chemistry parameters samples. The urinalysis included both micro- and macro-levels, in which the CIE L*a*b* values and routine urine chemical examination were performed through digital imaging colorimetry and a urine chemical analyzer, respectively.Results: The results showed that L* (53.49 vs. 56.69) in the abnormal urine dry chemistry group was lower than the normal group, while b* (37.39 vs. 33.80) was greater. Urine color can be initially classified based on shade by grouping b*. Abnormal urine dry chemical parameter samples were distributed more in the dark-colored group. Urine dry chemical parameters were closely related to Ucol. Urine specific gravity (USG), protein, urobilinogen, bilirubin, occult blood, ketone body, pH, and the number of abnormal dry chemical parameters were all correlated with Ucol CIE L*a*b*; according to a stepwise regression analysis, it was determined that more than 50% of the variation in the three-color space values came from the urine dry chemical parameters, and the b* value was most affected by USG (standardized coefficient β = 0.734, p < 0.05). Based on a receiver operating characteristic curve (ROC) analysis, Ucol ≥ 4 provided moderate sensitivity and good specificity (AUC = 0.892) for the detection of USG ≥ 1.020.Conclusions: Our findings on the Ucol analysis showed that grouping Ucol based on b* value is an objective, simple, and practical method. At the same time, the results suggested that digital imaging colorimetry for Ucol quantification is a potential method for evaluating body hydration and, potentially, health.

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Background: Hypertension affects over 1 billion people globally and is the top risk factor of cardiovascular morbidity and mortality. Wuweijiangyasan (WWJYS), as an empirical prescription, has stable depressurization effects. This study investigated the chemical composition and pharmacodynamic effects of WWJYS in regulating the blood pressure (BP), emotion, and blood lipid of spontaneous hypertensive rats, and further explored the depressurization mechanism of WWJYS. Materials and Methods: This study used network pharmacology to identify the origins and predict targets of WWJYS, and artificial intelligence-based molecular docking is used to further predict targets and mechanisms. The chemical constituents of WWJYS were analyzed and identified by ultra high-performance liquid chromatography–mass spectrometry (MS)/MS. Results: In the WWJYS group, the systolic BP level significantly was decreased, and the HR was stable. The irritability became stable after the 5-week treatment compared with the model group (P < 0.05). Rats' rotation tolerance time increased after 2-weeks stabilization. Compared with the model group, angiotensin-converting enzyme 2 protein and mRNA of the WWJYS group increased significantly (P < 0.05). Network pharmacology collected 64 compounds and identified 22 potential targets of WWJYS for antihypertensive activity. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis showed that WWJYS might regulate smooth muscle cells, affect inflammatory response and improve endothelial function through multiple pathways. The molecular docking study further supported that the target proteins have good combinations with the main active components of WWJYS. Conclusions: The data indicated that WWJYS had significant depressurization, analgesic, and sedative, as well as lipid-lowering effects, and the depressurization mechanism of WWJYS may function in multiple signal pathways, especially in improving blood vessel function and intervening inflammation.

In order to determine the applicability of liquid CO2 phase-transition fracturing technology in rock mass excavations, the principles of CO2 phase-transition fracturing were analyzed, and field tests of liquid CO2 phase-transition fracturing were performed. An “Unmanned Aerial Vehicle (UAV) camera shooting + Microstructure Image Processing System (MIPS) analyzing” method was used to acquire the rock mass characteristics. Further, the Hilbert–Huang Transform (HHT) energy analysis principle was adopted to analyze the characteristics of fracturing vibration waves. The experimental results showed that during the process of fracturing, there were both dynamic actions of rock breakage due to excitation stress wave impacts, and quasi-static actions of rock breakage caused by gasification expansion wedges. In semi-infinite spaces, rock-breakage zones can mainly be divided into crushing zones, fracture zones, and vibration zones. At the same time, under ideal fracturing effects and large volumes, the fracturing granularity will be in accordance with the fractal laws. For example, the larger the fractal dimensions, the higher the proportion of small fragments, and vice versa. Moreover, the vibration waves of the liquid CO2 phase-transition fracturing have short durations, fast attenuation, and fewer high-frequency components. The dominant frequency band of energy will range between 0 and 20 Hz. The liquid CO2 phase-transition fracturing technology has been observed to overcome the shortcomings of traditional explosive blasting methods and can be applied to a variety of rock types. It is a safe and efficient method for rock-breaking excavations; therefore, the above technology effectively provides a new method for the follow-up of similar engineering practices.