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We image the Zhaotong-Ludian fault (ZLF) in the southeastern margin of the Tibetan plateau (SE Tibetan plateau) using waveforms from local and teleseismic earthquakes recorded by 14 seismic stations. We identify two types of fault zone head wave (FZHW) from two clusters of earthquakes by applying an automatic picking algorithm and a horizontal particle motion analysis. The first type of FZHWs shows a linear time–distance moveout and is only observed at stations on the southeast side of the fault in the northeastern section of the ZLF. The moveout slope suggests an average cross-fault velocity contrast of ∼ 2.5%. The second type of FZHWs exhibits a constant moveout and is recorded by stations on both sides of the ZLF in the southwestern section from a cluster of earthquakes located in a low-velocity zone. The difference in cross-fault velocity contrast between the northeast and southwest segments of the ZLF is also confirmed by teleseismic P-wave travel-time data. We attribute the prominent velocity contrast in the northeast section to a lithological difference between the South China block in the southeast and the Daliangshan subblock on the northwest side of the fault. The striking difference between the northeast and southwest sections also implies that earthquakes nucleating in one segment would hardly rupture through the entire fault, which can significantly affect our estimates of the maximum magnitude of future earthquakes occurring on the fault.

The Baihetan Reservoir, the second largest in the world, is located at the intersection of multiple large active fault zones on the eastern boundary of the Sichuan-Yunnan rhombic block. After impoundment on 6 April 2021, many earthquakes occurred around the reservoir area submerged by water. The largest M L 4.7 earthquake in the reservoir area occurred after the water level reached its highest point. But the seismogenic structures and mechanisms of earthquakes in the reservoir area are still unclear. Based on dense array data from the reservoir area, this paper uses the experimental site submodel of USTC-Pickers, transfer learned with 'DiTing' data set of China to obtain a high-precision earthquake catalogue that is twice as large as that the manual catalogue. This study show that earthquakes in the reservoir region primarily occur on secondary faults of pre-existing ones, characterized by a prominent feature of high dip angles trending northwest to southeast. Combined with the spatiotemperal migration characteristics of earthquakes and the relationship between earthquakes and water levels, we infer that most earthquakes are rapid response type and may be induced by rapid increase in elastic stress. Only the spatiotemporal distribution image of the M L 3.2 earthquakes sequence in the dam site-Toudaogou section conforms to the law of pore pressure diffusion, and belongs to the fast response type, which may be induced by the poroelasiticity coupling mechanism. The M L 3.0 earthquake swarm with deep depths in the Heishui River section belongs to the delayed response type and may be induced by the poroelasiticity coupling mechanism. [ABSTRACT FROM AUTHOR]

Amidst the escalating global burden of diabetes and its multifaceted complications, there arises an urgent need for robust healthcare information systems tailored to address the complexities of diabetic patient management. This paper introduces a novel statistical assessment healthcare information system engineered to meticulously analyze diabetes-related data by harnessing the power of big data technologies. Diabetes, affecting millions worldwide, exerts substantial strain on healthcare infrastructures, necessitating innovative solutions to optimize patient outcomes and treatment efficacy. Leveraging advancements in data processing and analytics alongside vast medical datasets, this study pioneers a statistical assessment model explicitly crafted for diabetes analysis within a big data paradigm. The model’s efficacy is rigorously evaluated using key performance metrics such as accuracy and F-measure, within the Hadoop framework. Remarkably, the results demonstrate a significant enhancement in performance compared to conventional methodologies, affirming the model’s potential to revolutionize the accuracy and efficiency of diabetes analysis within a big data milieu. Moving forward, further research avenues include refining the model’s algorithms to accommodate diverse data sources and expanding its applicability to encompass a broader spectrum of diabetes-related factors. [ABSTRACT FROM AUTHOR]

Objective To investigate the effect of " One syndrome and One Product " combined with medical care integration mode in improving the quality of nursing care for osteoporotic patients with spleen-kidney deficiency and blood stasis syndrome. Methods Totally 60 osteoporotic patients with spleen-kidney deficiency and blood stasis syndrome were randomly divided into control group and observation group, with 30 cases in each group. The control group was given routine nursing intervention, and the observation group was given nursing intervention based on " One syndrome and One Product " combined with medical care integration mode. The patient’s level of knowledge on disease, degree of pain, nursing satisfaction and activity of daily living were measured and compared between two groups. Results After intervention, patients in the observation group achieved a higher level of knowledge on disease, lower score of pain assessment and higher score of nursing satisfaction compared with those in the control group (P＜0. 05). After intervention, Barthel Index in both groups was higher than that before intervention (P

After impounding the Baihetan Water Reservoir in a historically seismically active area, numerous earthquakes occurred, but it is uncertain if they are connected to the impoundment. Based on the dense seismic network, this study used local earthquake tomography to construct high‐resolution VP (P‐wave velocity) and VP/VS models (P‐ to S‐wave velocity ratio) and update earthquake locations after the impoundment of Baihetan reservoir. Our study revealed that the reservoir water spreads from the dam site to the Qiaojia Basin and the Heishuihe branch, and pore pressure diffusion along faults induces many earthquakes. Reservoir water migrates through hidden faults and fractures beneath Hulukou, spreading to both sides and saturating some rocks below 7 km beneath the dam site‐Lianhuatang section, causing multiple magnitude 3.5+ earthquakes. This study reveals that reservoir water migration drives earthquakes in the reservoir area, offering new insights into seismogenesis following the Baihetan reservoir's impoundment, potentially applicable to understanding reservoir‐induced earthquakes in other reservoirs. Plain Language Summary: Numerous earthquakes occurred after the Baihetan reservoir impoundment. It is worth considering whether the significant seismicity was caused by fluid injection. We used the local earthquake tomography to construct high‐precision earthquake locations and high‐resolution 3D VP and VP/VS models of Baihetan reservoir after the impoundment. The 3D VP and VP/VS models reveal the penetration and diffusion range of reservoir water. The relationship between seismic locations and velocity models reveals that microearthquakes are induced by pore pressure diffusion caused by fluid migration, and some of the water‐saturated areas induced bigger earthquakes. Key Points: The highest resolution 3D VP and VP/VS models of the Baihetan reservoir are obtained by using a dense seismic arrayThe relationship between the change of medium structure and seismicity caused by the impoundment of Baihetan reservoir is revealedA new understanding of the seismogenesis of a large number of earthquakes occurred after the Baihetan reservoir impoundment are obtained [ABSTRACT FROM AUTHOR]

Bladder transitional cell carcinoma (BTCC) forms more than 90% of bladder cancer cases. It brings challenges to the early diagnosis and therapy of BTCC, due to lack of efficient screening biomarkers. We used weighted gene co‐expression network analysis (WGCNA) combined competing endogenous RNA (ceRNA) network construction depending on TCGA datasets to investigate potential hub genes and regulatory pathways associated with occurrence and progression of BTCC. We further used real‐time polymerase chain reaction (RT‐PCR) to validate the relative expression genes correlated with BTCC. By WGCNA, the gene co‐expression module with 11 genes was found corelated with BTCC tumour stage and prognosis after survival analyses. Ultimately, we put 100 highly stage‐related genes into the above constructed ceRNA network and then constructed another new network. Among them, all elements in AC112721.1/LINC00473/AC128709.1‐hsa‐mir‐195‐RECK and LINC00460‐hsa‐mir‐429‐ZFPM2 axes were simultaneously corelated with overall survival. RT‐PCR showed that AKAP12 was downregulated in tumour tissues. The hub genes screened out in the present study may provide ideals for further treatment on BTCC. [ABSTRACT FROM AUTHOR]

The article discusses the physical process and seismogenic mechanism of the Yangbi Ms 6.4 earthquake that occurred in Dali, Yunnan Province in 2021. The earthquake did not occur on a pre-existing active fault but on a buried fault in the eastern boundary of Baoshan sub-block. The study uses various seismological methods to analyze the earthquake sequence, seismogenic environment, and focal parameter characteristics, providing insights into the earthquake's source characteristics and trigger mechanism. [Extracted from the article]