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Drugs-associated restless legs syndrome(RLS) can significantly impact patients' quality of life. This study aims to identify the 50 most common drugs-associated with RLS in the FDA Adverse Event Reporting System (FAERS) database and track its epidemiological characteristics. We extracted reports of adverse drug events related to restless legs syndrome from the FAERS database, covering the period from Q1 2004 to Q3 2024. We compiled a list of the 50 most frequently reported drugs based on RLS reports. Four risk signal detection methods were employed to assess whether valid signals were triggered by these drugs: Reporting Odds Ratio, Proportional Reporting Ratio, Multi-item Gamma Poisson Shrinker, and Information Component from the Bayesian Confidence Propagation Neural Network. Logistic regression evaluated risk factors, and the Weibull Shape Parameter (WSP) test analyzed time-to-onset (TTO). A total of 16,410 reports were linked to RLS, with sodium oxybate being the most common (648 cases, 3.9%). Nervous system medications comprised 31.3% of cases. Of the 50 drugs, 27 showed valid risk signals; only 6 were consistent with FDA labels. Risk factors included age under 44, weight over 64 kg, female gender, and 24 specific drugs. TTO analysis revealed that most drugs exhibited early onset patterns. Our study highlights drugs potentially linked to drug-associated RLS emphasizing the need to consider these risks in clinical practice.

ROP is an important index to evaluate the efficiency of oil and gas drilling. In order to accurately predict the ROP of an oilfield in Xinjiang working area, a ROP prediction model based on the historical drilling data of this working area was established based on stacking ensemble learning. This model integrates the K-nearest neighbor algorithm and support vector machine algorithm by stacking ensemble strategy and uses genetic algorithm to optimize model parameters, forming a new method of ROP prediction suitable for this oilfield. The prediction results show that the accuracy of ROP prediction by this method is up to 92.5%, and the performance is stable, which can provide reference for the optimization of drilling parameters in this oilfield and has specific guiding significance for improving the efficiency of drilling operations.

Resistivity logging is an important technique for identifying and estimating reservoirs. Oil-based mud (OBM) can improve drilling efficiency and decrease operation risks, and has been widely used in the well logging field. However, the non-conductive OBM makes the traditional logging-while-drilling (LWD) method with low frequency ineffective. In this work, a new oil-based LWD method is proposed by combining the capacitively coupled contactless conductivity detection (C4D) technique and the inductive coupling principle. The C4D technique is to overcome the electrical insulation problem of the OBM and construct an effective alternating current (AC) measurement path. Based on the inductive coupling principle, an induced voltage can be formed to be the indirect excitation voltage of the AC measurement path. Based on the proposed method, a corresponding logging instrument is developed. Numerical simulation was carried out and results show that the logging instrument has good measurement accuracy, deep detection depth and high vertical resolution. Practical experiments were also carried out, including the resistance box experiment and the well logging experiment. The results of the resistance box experiment show that the logging instrument has good resistance measurement accuracy. Lastly, the results of the well logging experiment indicate that the logging instrument can accurately reflect the positions of different patterns on the wellbore of the experimental well. Both numerical simulation and practical experiments verify the feasibility and effectiveness of the new method.

Non-alcoholic fatty liver disease (NAFLD) is a chronic liver disease closely associated with metabolic dysregulation, exhibiting a complex and multifactorial pathogenesis. Recent studies demonstrate that impaired intestinal barrier function, intestinal immune barrier dysfunction, gut microbiota dysbiosis, and their associated metabolites collectively promote energy metabolism dysregulation and systemic inflammatory responses via the gut-liver axis. These interconnected processes represent key drivers in the pathogenesis and progression of NAFLD. Notably, Traditional Chinese Medicine (TCM) offers a promising therapeutic approach for NAFLD by holistically modulating intestinal barrier function, immune responses, and gut microbiota composition via multiple targets and pathways, thereby ameliorating gut dysbiosis and its downstream metabolic and inflammatory sequelae. This review systematically synthesizes the established relationship between NAFLD and intestinal barrier dysfunction. It critically evaluates current research progress on TCM interventions—including single herbs, bioactive constituents, and compound formulas—that target the intestinal barrier for NAFLD management. Key mechanistic insights into TCM efficacy are summarized, focusing on the repair of the intestinal mucosal barrier, modulation of bile acid metabolism and gut microbiota composition, and enhancement of intestinal immune barrier function. Future research should prioritize elucidating the specific molecular mechanisms underpinning TCM-mediated intestinal barrier regulation and strengthening clinical validation, ultimately advancing the scientific foundation for TCM-based NAFLD therapeutics. Graphical Abstract Highlights Links NAFLD pathogenesis to intestinal barrier dysfunction, gut microbiota dysbiosis, and gut-liver axis dysregulation. Summarizes TCM interventions (single herbs, bioactives, formulas) for NAFLD via intestinal barrier targeting. Clarifies TCM mechanisms: repairing mucosal barrier, regulating bile acid/microbiota, enhancing intestinal immunity. Confirm the potential of TCM in managing NAFLD by regulating the gut-liver axis.

As carbonate reservoirs in deeper strata continue to develop, reservoir closure stress has significantly increased, where conventional acid fracturing technology cannot maintain acid-etched fracture conductivity and single well production rates are decreasing more quickly. This study proposes a rock self-supporting, highly conductive acid fracturing technique, where the shielding materials cover a portion of the primary hydraulic fracture surface to block the acid rock reaction. After acid injection, the unetched part will be a bearing surface, which serves as a large area and self-supporting high strength rock. This technique fundamentally changes the existing point support pattern of acid-etched fractures. Experimental results demonstrate that when the closed stress is <50 MPa, the self-supporting conductivity is 42% higher than the conventionally acid etched fractures. At 90 MPa closed stress, it can still maintain high support strength, which is more than eight times that of a conventional acid etched fracture. The equilibrium relationship between the fracture conductivity and rock support strength was determined using finite element stress simulation and fluid mechanics simulation. The results demonstrate that using a small cylindrical area, dislocation support, and multi-point support is conducive to the dispersion of high closure stress; moreover, the concentrated stress intensity of supporting rock can be reduced by 3-12 MPa. With decrease in supporting area, the stress intensity of the supporting rock is higher. Considering the compressive strength of the rock, the supporting area is >25%. When the rock is in the form of a dislocation support, the fluid disperses in the larger void channels, thus effectively maintaining fracture conductivity. The self-supporting acid fracturing technique is useful for increasing the utility of acid fracturing stimulation in deep and ultra-deep wells.

肝纤维化是慢性肝损伤后组织修复过程中的代偿反应，也是诸多慢性肝病发展必经的病理过程。在病理状态下，肝脏氧化系统与抗氧化系统失衡，造成活性氧/活性氮产生过多或清除不足，诱导肝细胞损伤，扩大炎症反应，促进肝纤维化的发生发展。NF-κB作为炎症反应和氧化应激的主调控器，在肝纤维化进程中发挥关键作用。因此，活性氧/活性氮与NF-κB信号通路的级联交互关系对于进一步阐明肝纤维化的发病机制，探索有效的防治策略起到重要的指导作用。本文即对两者之间的交互关系及在肝纤维化进程中的重要作用进行综述和讨论，以期为肝纤维化的靶向治疗提供策略和参考。

肝纤维化是诸多类型慢性肝病的共同病理过程，是由慢性肝损伤后细胞外基质的过度沉积所致。越来越多的证据表明，氧化应激与肝纤维化的发生发展密切相关，在多种病因所致的肝纤维化病理过程中都有氧化应激的参与。中药单体成分天然、结构明确，在近年来抗肝纤维化的研究中已经取得了显著成效。就中药单体调控氧化应激相关信号通路抗肝纤维化的研究进展进行阐述。

α-lipoic acid (ALA) is a naturally occurring antioxidant with protective effects against various hepatic injuries. The aim of the present study was to investigate the mechanisms by which ALA protects the liver from carbon tetrachloride (CCl4)-induced liver cirrhosis. The widely used liver cirrhosis rat model was established via an intraperitoneal injection of 2 mg/kg 50% CCl4, three times/week for 8 weeks. Simultaneously, 50 or 100 mg/kg ALA was orally administrated to the rats every day for 8 weeks. The activity of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) was detected in the serum. The pathological liver injuries were analyzed using hematoxylin and eosin and Masson's trichrome staining. The principal factors involved in the transforming growth factor-β (TGF-β)/mothers against decapentaplegic homolog 9 (Smad3) and protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathways and in autophagy were examined using reverse transcription-quantitative polymerase chain reaction or western blot analysis. The results demonstrated that the administration of ALA alleviated CCl4-induced liver injury, as demonstrated by decreased ALT and AST activity, improved pathological injuries and reduced collagen deposition. The CCl4-induced increase in TGF-β and phosphorylated-Smad3 expression levels was additionally inhibited by treatment with ALA. Furthermore, the administration of ALA reversed the CCl4-induced upregulation of light chain 3II and Beclin-1, and downregulation of p62. The CCl4-induced suppression of the AKT/mTOR pathway was additionally restored following treatment with ALA. In combination, the results of the present study demonstrated that ALA was able to protect CCl4-induced liver cirrhosis, an effect that may be associated with inactivation of the TGF-β/Smad3 pathway and suppression of autophagy.

[alpha]-lipoic acid (ALA) is a naturally occurring antioxidant with protective effects against various hepatic injuries. The aim of the present study was to investigate the mechanisms by which ALA protects the liver from carbon tetrachloride (C[Cl.sub.4])-induced liver cirrhosis. The widely used liver cirrhosis rat model was established via an intraperitoneal injection of 2 mg/kg 50% C[Cl.sub.4], three times/week for 8 weeks. Simultaneously, 50 or 100 mg/kg ALA was orally administrated to the rats every day for 8 weeks. The activity of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) was detected in the serum. The pathological liver injuries were analyzed using hematoxylin and eosin and Masson's trichrome staining. The principal factors involved in the transforming growth factor-[beta] (TGF-[beta])/mothers against decapentaplegic homolog 9 (Smad3) and protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathways and in autophagy were examined using reverse transcription-quantitative polymerase chain reaction or western blot analysis. The results demonstrated that the administration of ALA alleviated C[Cl.sub.4]-induced liver injury, as demonstrated by decreased ALT and AST activity, improved pathological injuries and reduced collagen deposition. The C[Cl.sub.4]-induced increase in TGF-[beta] and phosphorylated-Smad3 expression levels was additionally inhibited by treatment with ALA. Furthermore, the administration of ALA reversed the C[Cl.sub.4]-induced upregulation of light chain 3II and Beclin-1, and downregulation of p62. The C[Cl.sub.4]-induced suppression of the AKT/mTOR pathway was additionally restored following treatment with ALA. In combination, the results of the present study demonstrated that ALA was able to protect C[Cl.sub.4]-induced liver cirrhosis, an effect that may be associated with inactivation of the TGF-[beta]/Smad3 pathway and suppression of autophagy.

Deep carbonate reservoir heterogeneity is serious, fault and fracture development, geology characteristic upper and lower horizontal well is uncertainty. The fracturing design scheme applicability is not strong based on the well logging data of guide well or adjoining well. Therefore, it is necessary to combine the engineering geology, construction technology and the optimized design of the scheme organically to solve the above problems. Based on the interpretation model of logging data, this paper discusses the prediction method of rock mechanics parameters combined with logging and seismic data. The plane distribution law of shear wave and rock density was obtained by the seismic inversion algorithm, and the plane law obtained by 3D seismic inversion was used as the prediction constraint conditions to carry out 3D geological modeling for the rock mechanics parameter field in SHB block, and on this basis, the local in-situ stress field simulation was figured out. According to the established geomechanical model, the section was cut along the direction of the horizontal well bore, and important information such as reservoir development status and geomechanical parameter distribution of the upper and lower sections of the horizontal well bore were analysed. A full three-dimensional model of asymmetric fractures was established. The research work in this paper is of great significance to improve the success rate of stage fracturing of ultra-deep horizontal well and the economic development of single well.