Comparison of NLP machine learning models with human physicians for ASA Physical Status classification.

The American Society of Anesthesiologist's Physical Status (ASA-PS) classification system assesses comorbidities before sedation and analgesia, but inconsistencies among raters have hindered its objective use. This study aimed to develop natural language processing (NLP) models to classify ASA-PS using pre-anesthesia evaluation summaries, comparing their performance to human physicians. Data from 717,389 surgical cases in a tertiary hospital (October 2004-May 2023) was split into training, tuning, and test datasets.

1.5 million materials narratives generated by chatbots.

The advent of artificial intelligence (AI) has enabled a comprehensive exploration of materials for various applications. However, AI models often prioritize frequently encountered material examples in the scientific literature, limiting the selection of suitable candidates based on inherent physical and chemical attributes. To address this imbalance, we generated a dataset consisting of 1,453,493 natural language-material narratives from OQMD, Materials Project, JARVIS, and AFLOW2 databases based on ab initio calculation results that are more evenly distributed across the periodic table.

Discectomy versus sequestrectomy in the treatment of lumbar disc herniation: a systematic review and meta-analysis.

Background Context: Lumbar disc herniation (LDH) is a leading cause of low back pain (LBP) and leg pain and may require surgical treatment in case of persistent pain and/or neurological deficits. Conventional discectomy involves removing the herniated fragment and additional material from the disc space, potentially accelerating disc degeneration and contributing to chronic LBP. Conversely, by resecting the herniated fragment only, sequestrectomy may reduce postoperative LBP while increasing the risk of LDH recurrence.

Exploring e-scooter riders' risky behaviour: survey, observation, and interview study.

This study explores e-scooter riders' risky behaviour and motivation based on survey, observation, and interview studies. 192 responses from an online survey showed that e-scooter riders' behaviours are categorised into errors, violations, defensive behaviour, and proactive safety behaviour. Statistical analysis revealed significant differences in riding behaviour depending on riders' characteristics and usage patterns.

Synthesis, Characterization, and Biological Performances of Magnesium-Substituted Dicalcium Phosphate Anhydrous.

Dicalcium phosphate anhydrous (DCPA, CaHPO) is regarded as an orthopedic material due to its ability to match the generation of new bone to the rate of implant resorption without considering the material's mechanical stability. Additionally, magnesium (Mg) is widely recognized for its essential function in bone metabolism, especially during the initial phases of osteogenesis. Therefore, we explored the influences of Mg ions on DCPA powder, in biological responses, and on the enhancement of osteogenic properties.

Association Between Body Mass Index Changes and All-Cause Mortality in Parkinson's Disease.

Background: Whether body weight changes are associated with Parkinson's disease (PD) mortality remains uncertain.

Objective: To investigate the association between changes in body mass index (BMI) and all-cause mortality in patients with PD.

Methods: This nationwide cohort study enrolled 20,703 individuals with new-onset PD (ICD-10 code: G20 and a rare intractable disease registration code: V124) who underwent health screening program by the Korean National Health Insurance Service within two years from pre- and post-PD diagnosis.

Prediction Model of Delayed Hemothorax in Patients with Traumatic Occult Hemothorax Using a Novel Nomogram.

Background: Delayed hemothorax (dHTX) can occur unexpectedly, even in patients who initially present without signs of hemothorax (HTX), potentially leading to death. We aimed to develop a predictive model for dHTX requiring intervention, specifically targeting those with no or occult HTX.

Methods: This retrospective study was conducted at a level 1 trauma center.

3D engineering of diseased blood vessels for integrative-in silico mechanobiology study.

Vascular diseases are complex conditions orchestrated by multiple factors, including cellular components, biochemical stimuli, and mechanical forces. Despite the advancement of numerous therapeutic approaches, the global mortality associated with the diseases continues to escalate owing to a lack of understanding of the underlying pathologies. Tissue engineering and computational strategies have been recently developed to investigate diseased blood vessels from multifactorial perspective, enabling more accurate prediction of disease progression and opening new avenues for preclinical advances.

The influence of spatial distribution and transcriptional regulation of secondary metabolites on the bioactivities of (Japanese lady bell).

The distribution of secondary metabolites in plant tissues plays a crucial role in determining their pharmacological properties. In this study, we investigated the dynamics of the bioactive compounds in , a medicinal herb with diverse therapeutic applications. The anti-inflammatory properties of the EtOAc fraction from the aerial part extract (A_ EtF) exhibited an IC value of 27.

Rhodium(III)-Catalyzed B(4)-Azo Coupling of -Carboranes with Aryl Diazonium Tetrafluoroborates.

Rh(III)-catalyzed B(4)-azo coupling reactions of -carborane acids with aryl diazonium tetrafluoroborates have been developed, leading to the regioselective formation of B(4)-azo-coupled -carboranes. Moreover, B(4)-azo-coupled -carboranes can be further functionalized by introducing a second azo group, producing B(4)-C(1)-di(arylazo) -carborane. The B(4)-azo group as an efficient directing group enables catalytic C-H amidation reactions, providing a new synthetic route for complex -carborane derivatives.

Unraveling the impact of lysosomal dysfunction on myeloproliferative neoplasm.

Background: Lysosomal dysfunction (LD) impacts cytokine regulation, inflammation, and immune responses, influencing the development and progression of cancer. Inflammation is implicated in the pathogenesis of myeloproliferative neoplasm (MPN). With a hypothesis that LD significantly contributes to MPN carcinogenesis by inducing abnormal inflammation, our objective was to elucidate the pathophysiological mechanisms of MPN arising from an LD background.

Microbial decontamination of fresh-cut celery using simultaneous ultrasound and plasma-activated water treatment.

This study investigated an ultrasound (US) treatment strategy in plasma-activated water (PAW) (UP treatment) to inactivate indigenous aerobic bacteria, Escherichia coli O157:H7, and Listeria monocytogenes in fresh-cut celery. Both plasma discharge and US treatment times contributed to the inactivation of indigenous bacteria in celery. The predicted optimal UP treatment conditions included a discharge time of 61.

Menopausal Hormone Therapy and Osteoarthritis Risk: Retrospective Population-Based Study in South Korea.

Objectives: This study aimed to investigate the risk of osteoarthritis associated with menopausal hormone therapy (MHT).

Methods: This population-based retrospective cohort study used a database of Korean health insurance claims (2007-2020). Females aged ≥ 40 who initiated menopause-related healthcare visits between 2011 and 2014 were identified.

Drug Discovery and Screening Tool Development for Tauopathies by Focusing on Pathogenic Tau Repeat 3 Oligomers.

Comprehending early amyloidogenesis is essential for the development of effective therapeutic strategies. In tauopathies like Alzheimer's disease (AD), the abnormal accumulation of tau protein is initiated by pathological tau seeds. Mounting evidence implies that the microtubule binding domain, consisting of three to four repeats, plays a pivotal role in this process, yet the exact region driving the formation of pathogenic species needs to be further scrutinized.

Diagnostic performance of radiologists in distinguishing post-COVID-19 residual abnormalities from interstitial lung abnormalities.

Objective: Distinguishing post-COVID-19 residual abnormalities from interstitial lung abnormalities (ILA) on CT can be challenging if clinical information is limited. This study aimed to evaluate the diagnostic performance of radiologists in distinguishing post-COVID-19 residual abnormalities from ILA.

Methods: This multi-reader, multi-case study included 60 age- and sex-matched subjects with chest CT scans.

Advances and Applications of Oxidized van der Waals Transition Metal Dichalcogenides.

The surface oxidation of 2D transition metal dichalcogenides (TMDs) has recently gained tremendous technological and fundamental interest owing to the multi-functional properties that the surface oxidized layer opens up. In particular, when integrated into other 2D materials in the form of van der Waals heterostructures, oxidized TMDs enable designer properties, including novel electronic states, engineered light-matter interactions, and exceptional-point singularities, among many others. Here, the evolving landscapes of the state-of-the-art surface engineering technologies that enable controlled oxidation of TMDs down to the monolayer-by-monolayer limit are reviewed.

Nationwide precision oncology pilot study: KOrean Precision Medicine Networking Group Study of MOlecular profiling-guided therapy based on genomic alterations in advanced solid tumors (KOSMOS) KCSG AL-20-05.

Background: Next-generation sequencing (NGS) has become widely available but molecular profiling-guided therapy (MGT) had not been well established in the real world due to lack of available therapies and expertise to match treatment. Our study was designed to test the feasibility of a nationwide platform of NGS-guided MGT recommended by a central molecular tumor board (cMTB) for metastatic solid tumors.

Patients And Methods: Patients with advanced or metastatic solid tumors with available NGS results and without standard treatment were enrolled.

Identification of HEPACAM2 as a novel and specific marker of small cell carcinoma.

Background: Small cell lung cancer (SCLC) is the most aggressive neuroendocrine lung cancer, with a dismal 5-year survival rate. No reliable biomarkers or imaging are available for early SCLC detection. In a search for a specific marker of SCLC, this study identified that hepatocyte cell adhesion molecule 2 (HEPACAM2), a member of the immunoglobulin-like superfamily, is highly and specifically expressed in SCLC.