Data-driven optimization of brittleness index for hydraulic fracturing

Evaluation of brittleness index (BI) is a fundamental principle of a hydraulic fracturing design. A wide variety of BI calculations often baffle field engineers. The traditional value comparison may also not make the best of BI. Moreover, it is often mixed up with the fracability in field applications, thus causing concerns. We, therefore, redefine fracability as the fracturing pressure under certain rock mechanical (mainly brittleness), geological and injecting conditions to clarify the confusion. Then, we propose a data-driven workflow to optimize BIs by controlling the geological and injecting conditions. The machine learning (ML) workflow is employed to predict the fracability (fracturing pressure) based on field measurement. Three representative ML algorithms are applied to average the prediction, aiming to restrict the interference of algorithm performances. The contribution of brittleness on pressure/fracability prediction by error analysis (rather than the traditional method of BI-value comparison) is proposed as the new criterion for optimization. Six classic BI correlations (mineral-, logging- and elastic-based) are evaluated, three of which are optimized for the derivation of a new BI using the backward elimination strategy. The stress ratio (ratio of minimum and maximum horizontal principal stress), representing the geological feature, is introduced into the derived calculation based on the independent variable analysis. The reliability of the new BI is verified by error analyses using data of eight fracturing stages from seven different wells. Approximately 40%–50% of the errors are reduced based on the new BI. The differences among the performances of algorithms are also significantly restrained. The new brittleness index provides a more reliable option for evaluating the brittleness and fracability of the fracturing formation. The machine learning workflow also proposes a promising application scenario of the BI for hydraulic fracturing, which makes more efficient and broader usages of the BI compared with the traditional value comparison

Evaluating the efficacy and acceptability of vagus nerve stimulation for fibromyalgia: a PRISMA-compliant protocol for a systematic review and meta-analysis

BackgroundFibromyalgia has imposed substantial burdens on patients’ health and well-being, yet effective therapeutic options for this condition remain limited. Recently, vagus nerve stimulation (VNS) has emerged as a promising therapy for fibromyalgia. Nonetheless, despite the increasing number of randomized clinical trials (RCTs), current evidence remains inconclusive. Therefore, this protocol of a systematic review and meta-analysis aims to synthesize the existing evidence to clarify the efficacy and acceptability of VNS for treating fibromyalgia.MethodsA comprehensive search for eligible RCTs will be conducted across nine bibliographic databases, namely PubMed, Cochrane Library, Embase, AMED, PsycINFO, PEDro, Chinese BioMedical Literature Database, Chinese National Knowledge Infrastructure, and Wangfang database. Data obtained from the included studies will be synthesized quantitively using RevMan 5.4.1 for meta-analyses. The methodological soundness of included RCTs will be assessed via the Cochrane’s updated risk of bias tool (version 2.0). Additionally, sensitivity analyses, publication bias assessment, and subgroup analyses will be conducted as appropriate. Finally, we will utilize the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system to evaluate the certainty for the body of evidence.ConclusionThe findings of our study are anticipated to ascertain the efficacy and acceptability of VNS as a promising treatment option for fibromyalgia. This will not only fill current research gap but also identify potential areas for future research. The findings will provide essential guidance for evidence-based treatment decisions for fibromyalgia, benefiting both patients and clinicians

Association between Vitamin D Supplementation and Cancer Mortality: A Systematic Review and Meta-Analysis

Background: Vitamin D deficiency is related to increased cancer risk and deaths. However, whether vitamin D supplementation reduces cancer mortality remains unclear, and several randomized controlled trials yield inconsistent results. Methods: Medline, Embase, and the Cochrane Central Register of Controlled Trials were searched from their inception until 28 June 2022, for randomized controlled trials investigating vitamin D supplementation. Pooled relative risks (RRs) and their 95% confidence intervals (CIs) were estimated. Trials with vitamin D supplementation combined with calcium supplementation versus placebo alone and recruiting participants with cancer at baseline were excluded in the present study. Results: This study included 12 trials with a total of 72,669 participants. Vitamin D supplementation did not reduce overall cancer mortality (RR 0.96, 95% CI 0.80-1.16). However, vitamin D supplementation was associated with a reduction in lung cancer mortality (RR 0.63, 95% CI 0.45-0.90). Conclusions: Vitamin D supplementation could not reduce cancer mortality in this highly purified meta-analysis. Further RCTs that evaluate the association between vitamin D supplementation and total cancer mortality are still needed

Efficacy and safety of transcutaneous auricular vagus nerve stimulation (ta-VNS) in the treatment of tinnitus: protocol for an updated systematic review and meta-analysis

Introduction With an increasing incidence and significant effects on patients, tinnitus has become a major disease burden. There is a dearth of therapies with established efficacy for tinnitus. Transcutaneous auricular vagus nerve stimulation (ta-VNS) is being investigated as a potential therapy for tinnitus, but the current body of evidence remains inconclusive due to conflicting results across different studies. As a result, this protocol aims to synthesise and update the evidence to clarify whether ta-VNS is effective and safe for alleviating tinnitus.Methods and analysis To identify relevant randomised controlled trials (RCTs), seven representative bibliographical databases will be searched from their inception to December 2023: PubMed, Embase (via OVID), Cochrane Library, Chinese National Knowledge Infrastructure, Wangfang Database, Chinese BioMedical Literature Database, and Chongqing VIP Chinese Science and Technology Periodical Database. Publications in English or Chinese will be considered for inclusion. RCTs comparing ta-VNS with active treatments, no intervention, waitlist control or sham ta-VNS in adult patients with subjective tinnitus will be included. Studies on objective tinnitus will be excluded. Primary outcome is tinnitus symptom severity measured by validated scales. With all eligible trials included, when applicable, quantitative analysis via meta-analyses will be performed using RevMan V.5.4.1 software. Otherwise, a qualitative analysis will be conducted. The methodological quality of the included RCTs will be assessed using the Risk of Bias 2.0 tool. Sensitivity analyses, subgroup analysis and publication bias evaluation will also be performed. The Grading of Recommendations, Assessment, Development, and Evaluation approach will be used to grade the certainty of the evidence.Ethics and dissemination Ethical approval is not required for this systematic review, as no primary data will be collected. The results will be reported and disseminated through publication in a peer-reviewed journal.PROSPERO registration number CRD42022351917

Exploring family based immigrant youth substance use prevention programmes: a scoping review protocol

Introduction Canada has one of the highest rates of problematic opiate and alcohol use in the world. Globally, Canada was the second country that legalized marijuana for non-medical use. As Canada is an immigrant-receiving country, newcomers and immigrants contend with a substance use landscape that was likely absent in their countries of origin. Although immigrants have lower rates of substance use than the host population, the risk of substance use, especially among youth, increases with acculturation and peer pressure. While parents are best placed to mitigate the risks for substance use among their youth, immigrant parents often do not have the knowledge and skills to do so. Therefore, culturally adaptable family based interventions need be explored to build immigrant parents’ capacities to mitigate substance use risks.Aim and purpose The aim of this scoping review is to explore family based substance use prevention interventions for immigrant youth, which will be guided by two questions:What is known about family based interventions for preventing immigrant adolescents’ substance use?What are the features and study results of these intervention protocols?Methods and analysis We will apply Arksey and O’Malley’s procedure for reporting scoping review and report study findings based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for scoping reviews.Discussion We hope that the knowledge translation emanating from this review will increase immigrant parents’ knowledge of substance use and enable them to effectively intervene to prevent substance use among their youth. We also hope that this work can inform policy development on best practices for substance use prevention and for the creation of culturally sensitive programmes and services for immigrant youth

Fault Ride-Through Capability Enhancement of Type-4 WECS in Offshore Wind Farm via Nonlinear Adaptive Control of VSC-HVDC

This paper proposes a perturbation estimation-based nonlinear adaptive control (NAC) for a voltage-source converter-based high voltage direct current (VSC-HVDC) system which is applied to interconnect offshore large-scale wind farms to the onshore main grid in order to enhance the fault ride-through (FRT) capability of Type-4 wind energy conversion systems (WECS). The VSC-HVDC power transmission system is regraded as a favourable solution for interconnecting offshore wind farms. To improve the FRT capability of offshore power plants, a de-loading strategy is investigated with novel advanced control of the VSC-HVDC systems. The proposed NAC does not require an accurate and precise model and full state measurements since the combinatorial effects of nonlinearities, system parameter uncertainties, and external disturbances are aggregated into a perturbation term, which are estimated by a high-gain perturbation observer (HGPO) and fully compensated for. As the proposed NAC is adaptive to system model uncertainties (e.g., mismatched output impedance of the converters and the line impedance of transmission line), time-varying disturbance (e.g., AC grid voltage sags and line to ground faults), and unknown time-varying nonlinearities of the power-electronic system (e.g., unmodelled dynamics existed in valve and VSC phase-locked loop system), a significant robustness can be provided by the de-loading strategy to enhance the FRT capability. Simulation results illustrated that the proposed strategy can provide improved dynamic performance in the case of operation with a variety of reduced voltage levels and improved robustness against model uncertainties and mismatched system parameters comparing with conventional vector control

Biomimetic Neutrophil Nanotoxoids Elicit Potent Immunity against Acinetobacter baumannii in Multiple Models of Infection.

Acinetobacter baumannii is a leading cause of antibiotic-resistant nosocomial infections with high mortality rates, yet there is currently no clinically approved vaccine formulation. During the onset of A. baumannii infection, neutrophils are the primary responders and play a major role in resisting the pathogen. Here, we design a biomimetic nanotoxoid for antivirulence vaccination by using neutrophil membrane-coated nanoparticles to safely capture secreted A. baumannii factors. Vaccination with the nanotoxoid formulation rapidly mobilizes innate immune cells and promotes pathogen-specific adaptive immunity. In murine models of pneumonia, septicemia, and superficial wound infection, immunization with the nanovaccine offers significant protection, improving survival and reducing signs of acute inflammation. Lower bacterial burdens are observed in vaccinated animals regardless of the infection route. Altogether, neutrophil nanotoxoids represent an effective platform for eliciting multivalent immunity to protect against multidrug-resistant A. baumannii in a wide range of disease conditions

Passive Current Control Design for MMC in HVDC Systems through Energy Reshaping

The complexity of the internal dynamics of a modular multi-level converter (MMC) has raised severe issues for designing corresponding controllers. The existing MMC cascaded control strategies, based on classical linear control theory, require a relatively complex structure to achieve control objectives and the parameter tuning processes during the corresponding controller design are normally difficult to solve for the highly non-linear systems with highly coupled states in MMC. On account of this, advanced controllers are required for the regulation tasks of MMC. Passivity is introduced into the MMC control system by the passive control (PC) proposed in this paper. PC can provide an extra damping effect to help save energy through utilizing passivity in the system. A controllable de-coupled form is achieved by passivation of the output calculation. Hence, well-tuned controllers can be designed and employed to effectively regulate the output current and inner differential currents of the MMC under system operating point variation. Simulation results yield numerical data that show significantly improved steady-state and transient-state performances with greatly reduced control costs