Cannabis use characteristics and associations with problematic use outcomes, quitting-related factors, and mental health among US young adults.

Objective: Given the changes in trends of cannabis use (e.g., product types), this study examined latent classes of young adult use and associations with use-related outcomes.

Possible linking and treatment between Parkinson's disease and inflammatory bowel disease: a study of Mendelian randomization based on gut-brain axis.

Background: Mounting evidence suggests that Parkinson's disease (PD) and inflammatory bowel disease (IBD) are closely associated and becoming global health burdens. However, the causal relationships and common pathogeneses between them are uncertain. Furthermore, they are uncurable.

An integrated framework to guide evidence-informed public health policymaking.

Evidence-informed policymaking emphasizes that policy decisions should be informed by the best available evidence from research and follow a systematic and transparent approach. For public health policymaking we can learn from existing practices of transparent, evidence-informed decision-making for clinical practice, medicines, and medical technology. We review existing evidence-to-decision frameworks, as well as frameworks and theories for policymaking to address the political dimension of policymaking, and use this analysis to propose an integrated framework to guide evidence-informed policymaking.

No evidence for active viral infection in unicentric and idiopathic multicentric Castleman disease by Viral-Track analysis.

Castleman disease (CD) is a rare hematologic disorder characterized by pathologic lymph node changes and a range of symptoms due to excessive cytokine production. While uncontrolled infection with human herpesvirus-8 (HHV-8) is responsible for the cytokine storm in a portion of multicentric CD (HHV-8-associated MCD) cases, the etiology of unicentric CD (UCD) and HHV-8-negative/idiopathic MCD (iMCD) is unknown. Several hypotheses have been proposed regarding the pathogenesis of UCD and iMCD, including occult infection given the precedent established by HHV-8 infection.

Real-World Treatment Patterns and Clinical Outcomes in Patients With Multiple Myeloma Previously Treated With Lenalidomide and an Anti-CD38 Monoclonal Antibody.

Background: This analysis explored real-world characteristics, treatment patterns and clinical outcomes in patients with relapsed or refractory multiple myeloma (RRMM) previously treated with lenalidomide and an anti-CD38 monoclonal antibody (mAb) and requiring subsequent treatment.

Materials And Methods: The PREAMBLE and Connect MM prospective registries of patients with multiple myeloma (MM), and the US nationwide Flatiron Health electronic health record-derived de-identified database were analysed. MM-specific treatment patterns (prior/index therapies) and outcomes (progression-free survival [PFS]/overall survival [OS]) were assessed.

Axial spondyloarthritis.

Axial spondyloarthritis manifests as a chronic inflammatory disease primarily affecting the sacroiliac joints and spine. Although chronic back pain and spinal stiffness are typical initial symptoms, peripheral (ie, enthesitis, arthritis, and dactylitis) and extra-musculoskeletal (ie, uveitis, inflammatory bowel disease, and psoriasis) manifestations are also common. Timely and accurate diagnosis is challenging and relies on identifying a clinical pattern with a combination of clinical, laboratory (HLA-B27 positivity), and imaging findings (eg, structural damage on pelvic radiographs and bone marrow oedema on MRI of the sacroiliac joints).

Accuracy of Survey-Based Assessment of Eligibility for Medication Abortion Compared to Clinician Assessment.

Background: With increasingly restricted access to facility-based abortion in the United States, pregnant people are increasingly relying on models of care that utilize history-based or no-test approaches to eligibility assessment. Minimal research has examined the accuracy of abortion patients' self-assessment of eligibility for medication abortion using their health history, a necessary step towards ensuring optimal access to history-based or no-test models, as well as potential over-the-counter access.

Objective: To examine the accuracy of pregnant people's eligibility for medication abortion determined using their self-reported health history as compared to clinician assessment with ultrasound and other tests.

Rapid electrothermal upcycling hexachlorobutadiene (HCBD) polluted distillation residue into turbostratic graphene for enhanced electromagnetic wave absorption.

The trichloroethylene production industry generates high-boiling-point solid residues during rectification, which contain high concentrations of chlorinated contaminants, particularly hexachlorobutadiene (HCBD). Traditionally, these distillation residues are managed through co-incineration or landfilling, leading to environmental and economic challenges. In this study, we present a rapid and environmentally friendly electrothermal approach for both detoxifying and upcycling distillation residue into graphene-based electromagnetic wave (EMW) absorbing materials.

Isolation, cytotoxicity evaluation, and molecular docking of 3,4,3'-tri--methylflavellagic acid from (DC.) Guill. & Perr. root.

Cancer kills about 10 million people every year. Medicinal plants remain a major source in the global search for anticancer drugs. In this study, 3,4,3'-tri--methylflavellagic acid (MFA) was isolated from the methanol root extract of .

Acaricidal mechanism and active compounds of methanol extract against .

is a species closely linked to human health. This study investigated the acaricidal efficacy of methanol extracts from 18 traditional Chinese medicinal plants against . The extract from DC.

Opioid-Sparing Protocols in Hand Surgery: Successes and Opportunities.

The opioid epidemic has been a defining crisis in American health care. Many attempts to address the epidemic have focused on issues around opioid prescribing. Legislation at the state and federal levels has been passed; however, the results from these policies have been mixed.

Livestock shifts lepidopteran herbivore community due to intraguild elimination in Mediterranean agroforestry systems.

Livestock grazing and trampling have been shown to reduce arthropod populations. Among arthropods, defoliating lepidopterans are particularly important for their impact on trees, the keystone structures of agroforestry systems. This study investigates the impact of livestock on the community of defoliating lepidopterans in agroforestry systems.

Analysis of healthcare utilization before the diagnosis of radiologically isolated syndrome.

Background: Previous studies have shown that people with multiple sclerosis (MS) had frequent healthcare visits up to 10 years before being diagnosed but with no information from magnetic resonance imaging (MRI) scans of the connection with the radiologically isolated syndrome (RIS).

Objective: To analyze healthcare use 3 years before the RIS diagnosis.

Methods: We examined healthcare usage before the first scan in RIS cases from 2010 to 2019.

Are Current Patient-Reported Outcome Measures Fit for Purpose to Evaluate Unicompartmental Knee Arthroplasty?

The optimal procedure for isolated end-stage medial compartment knee osteoarthritis (OA) remains uncertain, with debate persisting between unicompartmental knee arthroplasty (UKA) and total knee arthroplasty (TKA). The aim of this narrative review is to evaluate current outcome measures in knee arthroplasty (KA) and explore how evolving patient populations and technological advancements may necessitate the use of different patient-reported outcome measures (PROMs) for evaluating UKA. While UKA offers potential advantages over TKA in early pain relief and functional outcomes, most randomised control trials using traditional PROMs have failed to show definitive superiority.

Sex Differences in Management, Time to Intervention, and In-Hospital Mortality of Acute Myocardial Infarction and Non-Myocardial Infarction Related Cardiogenic Shock.

Cardiogenic shock (CS) is associated with high mortality, particularly in women. With early intervention being a cornerstone of CS management, this study aims to explore whether sex differences exist in the utilization of critical interventions, timing of treatment, and in-hospital mortality for patients with acute myocardial infarction (AMI) and non-AMI-CS. For this retrospective cohort study, we queried the National Inpatient Sample (years 2016-2021) for CS-related hospitalizations.

Beta-Blockers in Patients with Myocardial Infarction and Preserved Left Ventricular Ejection: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

The benefit of beta-blockers (BBs) for myocardial infarction (MI) patients with a preserved left ventricular ejection fraction (LVEF) is uncertain. While beneficial for a reduced LVEF, their efficacy with a preserved LVEF, especially with modern revascularization, is unclear. A PRISMA-guided systematic review and meta-analysis utilized PubMed and EMBASE.

First Case Report of Uterine Leiomyosarcoma Diagnosed After Transcervical Fibroid Ablation.

Uterine fibroids are benign monoclonal neoplasms of the myometrium, representing the most common female pelvic neoplasms globally. Treatments may be invasive, such as hysterectomy and myomectomy, non-invasive, such as medical therapy or focused ultrasound, or minimally invasive, such as transcervical radiofrequency ablation (TFA). To date, more than 12,000 women have been treated worldwide using TFA with the Sonata System.

Quantifying the Deficits of Body Water and Monovalent Cations in Hyperglycemic Emergencies.

Hyperglycemic emergencies cause significant losses of body water, sodium, and potassium. This report presents a method for computing the actual losses of water and monovalent cations in these emergencies. We developed formulas for computing the losses of water and monovalent cations as a function of the presenting serum sodium and glucose levels, the sum of the concentrations of sodium plus potassium in the lost fluids, and body water at the time of hyperglycemia presentation as measured by bioimpedance or in the initial euglycemic state as estimated by anthropometric formulas.

Deep Learning-Based Pointer Meter Reading Recognition for Advancing Manufacturing Digital Transformation Research.

With the digital transformation of the manufacturing industry, data monitoring and collecting in the manufacturing process become essential. Pointer meter reading recognition (PMRR) is a key element in data monitoring throughout the manufacturing process. However, existing PMRR methods have low accuracy and insufficient robustness due to issues such as blur, uneven illumination, tilt, and complex backgrounds in meter images.

Design and Testing of MEMS Component for Electromagnetic Pulse Protection.

With the demand for high-safety, high-integration, and lightweight micro- and nano-electronic components, an MEMS electromagnetic energy-releasing component was innovatively designed based on the corona discharge theory. The device subverted the traditional device-level protection method for electromagnetic energy, realizing the innovation of adding a complex circuit system to the integrated chip through micro-nanometer processing technology and enhancing the chip's size from the centimeter level to the micron level. In this paper, the working performance of the MEMS electromagnetic energy-releasing component was verified through a combination of a simulation, a static experiment, and a dynamic test, and a characterization test of the tested MEMS electromagnetic energy-releasing component was carried out to thoroughly analyze the effect of the MEMS electromagnetic energy-releasing component.

Enhancing Autonomous Driving in Urban Scenarios: A Hybrid Approach with Reinforcement Learning and Classical Control.

The use of Deep Learning algorithms in the domain of Decision Making for Autonomous Vehicles has garnered significant attention in the literature in recent years, showcasing considerable potential. Nevertheless, most of the solutions proposed by the scientific community encounter difficulties in real-world applications. This paper aims to provide a realistic implementation of a hybrid Decision Making module in an Autonomous Driving stack, integrating the learning capabilities from the experience of Deep Reinforcement Learning algorithms and the reliability of classical methodologies.

Exploring Near- and Far-Field Effects in Photoplethysmography Signals Across Different Source-Detector Distances.

Photoplethysmography is a widely used optical technique to extract physiological information non-invasively. Despite its large use and adoption, multiple factors influence the signal shape and quality, including the instrumentation used. This work analyzes the variability of the DC component of the PPG signal at three source-detector distances (6 mm, 9 mm, and 12 mm) using green, red, and infrared light and four photodiodes per distance.

EM-AUC: A Novel Algorithm for Evaluating Anomaly Based Network Intrusion Detection Systems.

Effective network intrusion detection using anomaly scores from unsupervised machine learning models depends on the performance of the models. Although unsupervised models do not require labels during the training and testing phases, the assessment of their performance metrics during the evaluation phase still requires comparing anomaly scores against labels. In real-world scenarios, the absence of labels in massive network datasets makes it infeasible to calculate performance metrics.