Structural Stabilization of 4.6 V LiCoO Through Tri-Site Co-Doping with Al-Mg-F.

Uplifting the charging voltage of LiCoO is crucial for surpassing current energy density thresholds in Li-ion batteries. However, the structural and chemical instability of LiCoO in the deeply delithiated state is a major obstacle to the practical implementation of high-voltage LiCoO. This study proposes a multi-element co-doped LiCoO that exhibits enhanced electrochemical performances at 4.

Gadoxetic acid-enhanced MRI for the detection of liver metastases from melanoma.

Purpose: We aimed to assess imaging findings and detection sensitivity for melanoma liver metastases on gadoxetic acid-enhanced magnetic resonance imaging (MRI).

Methods: This retrospective study included patients with melanoma liver metastasis who underwent gadoxetic acid-enhanced MRI. Two abdominal radiologists independently evaluated signal characteristics of liver metastases on morphologic imaging (precontrast T1- and T2-weighted imaging), diffusion-weighted imaging (DWI), dynamic imaging, and hepatobiliary phase (HBP).

Volume and Permeability of White Matter Hyperintensity on Cognition: A DCE Imaging Study of an Older Cohort With and Without Cognitive Impairment.

Background: The impact of blood-brain barrier (BBB) leakage on white matter hyperintensity (WMH) subtypes (location) and its association with clinical factors and cognition remains unclear.

Purpose: To investigate the relationship between WMH volume, permeability, clinical factors, and cognition in older individuals across the cognitive spectrum.

Study Type: Prospective, cross-sectional.

Effect of storage duration on outcome of patients receiving red blood cell in emergency department.

The effect of the duration of red blood cell (RBC) storage on the outcomes of transfused patients remains controversial, and studies on patients in the emergency department (ED) are limited. This study aimed to determine the association between RBC storage duration and outcomes of patients receiving transfusions in the ED. For RBCs issued to patients in the ED between 2017 and 2022, the storage period of the RBC and data on the transfused patient were obtained.

Initial sarcopenia and body composition changes as prognostic factors in cervical cancer patients treated with concurrent chemoradiation: An artificial intelligence-based volumetric study.

Objectives: This study aimed to investigate the influence of baseline sarcopenia and changes in body composition on survival during cervical cancer treatment.

Methods: Patients diagnosed with stage IB1-IVB cervical cancer who underwent primary concurrent chemoradiation therapy (CCRT) between 2002 and 2022 were included. The exclusion criteria were prior radical hysterectomy, lack of pretreatment computed tomography (CT) imaging, or significant comorbidities.

Seasonal dynamics of airborne biomolecules influence the size distribution of Arctic aerosols.

Organic matter is crucial in aerosol-climate interactions, yet the physicochemical properties and origins of organic aerosols remain poorly understood. Here we show the seasonal characteristics of submicron organic aerosols in Arctic Svalbard during spring and summer, emphasizing their connection to transport patterns and particle size distribution. Microbial-derived organic matter (MOM) and terrestrial-derived organic matter (TOM) accounted for over 90% of the total organic mass in Arctic aerosols during these seasons, comprising carbohydrate/protein-like and lignin/tannin-like compounds, respectively.

Long-Term Outcomes of Gamma Knife Radiosurgery for Cerebral Cavernous Malformations: 10 Years and Beyond.

Background: We aimed to evaluate long-term outcomes of gamma knife radiosurgery (GKS) for cerebral cavernous malformations (CCMs).

Methods: Among the 233 CCM patients who underwent GKS, 79 adult patients (96 lesions) followed for over 10 years were included and analyzed retrospectively. Annual hemorrhage rate (AHR) was analyzed the entire cohort of 233 patients and the subset of 79 enrolled patients by dividing lesions into overall CCM lesions and brainstem lesions.

Comparison of survival and complications between minimally invasive and open staging surgeries in non-endometrioid endometrial cancer.

Objective: This study aimed to compare survival and complications between minimally invasive surgery and open surgery and evaluate related risk factors in patients with non-endometrioid endometrial cancer.

Methods: Clinicopathologic characteristics; survival outcomes; complications; and prognostic factors associated with progression-free survival and overall survival were compared among patients with non-endometrioid endometrial cancer who underwent primary staging surgery using laparoscopic, robotic, or open abdominal surgery (2004-2017).

Results: In total, 91 patients were included: 41 and 50 underwent minimally invasive surgery and open surgery, respectively.

Failure Prediction of High-Flow Nasal Cannula at the Conventional Oxygen Therapy Phase in the Emergency Department.

Introduction: The use of high-flow nasal cannula (HFNC) in patients with acute hypoxemic respiratory failure has been increasing in the emergency department (ED). However, studies are lacking on the prediction of HFNC failure before therapy initiation in the ED. We investigated whether the existing indices, such as the ratio of pulse oximetry oxygen saturation/fraction of inspired oxygen to respiratory rate (ROX) and ratio of ROX index to heart rate (ROX-HR), can accurately predict HFNC failure at the conventional oxygen therapy phase in the ED.

Safety assessment of cocamidopropyl betaine, a cosmetic ingredient.

Cocamidopropyl betaine (CAPB) is a surfactant derived from coconut oil that is widely used in cosmetics and personal products for several purposes, such as a surfactant, foam booster, mildness, and viscosity control. Cocamidopropyl betaine is used at concentrations up to 30% in cosmetics. The acute toxicity, skin irritation, eye irritation, skin sensitization, repeated dose toxicity, genotoxicity, carcinogenicity, and phototoxicity of cocamidopropyl betaine were evaluated.

Risk assessment of cyclohexasiloxane D6 in cosmetic products.

Dodecamethylcyclohexasiloxane (D6) is a siloxane substance mainly used in cosmetics and personal care products. While octamethylcyclotetrasiloxane (D4) and decamethylcyclopentasiloxane (D5) were once commonly used in personal care products, their usage has been restricted due to the classification as persistent, bioaccumulative, and toxic (PBT)/very persistent and very bio-accumulative (vPvB) substances. While D6 has emerged as a substitute for D4 and D5, the risk assessment for D6 remains limited compared to the evaluations for D4 and D5.

Live-Cell Imaging of MicroRNA Expression via Photoinduced Electron Transfer Controlled by Catalytic Hairpin Assembly.

MicroRNAs (miRNAs) serve as emerging biomarkers for a range of diseases, and their quantitative analysis draws increasing attention. Yet, current invasive methods limit continuous tracking within living cells. To overcome this, a nonenzymatic DNA-based nanoprobe is developed for dynamic, noninvasive miRNA tracking via live-cell imaging.

Evaluation of exposure to cyanogenic glycosides and potential hydrogen cyanide release in commercially available foods among the Korean population.

The release of hydrogen cyanide (HCN) after food ingestion can pose a serious health risk to consumers. This study aimed to simultaneously quantify four cyanogenic glycosides (lotaustralin, prunasin, taxiphyllin, and dhurrin) using liquid chromatography-tandem mass spectrometry. The analysis scope extended beyond agricultural products to various consumer foods to estimate dietary exposure to cyanogenic glycosides and assess its risk levels.

The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation.

Background: A large language model is a type of artificial intelligence (AI) model that opens up great possibilities for health care practice, research, and education, although scholars have emphasized the need to proactively address the issue of unvalidated and inaccurate information regarding its use. One of the best-known large language models is ChatGPT (OpenAI). It is believed to be of great help to medical research, as it facilitates more efficient data set analysis, code generation, and literature review, allowing researchers to focus on experimental design as well as drug discovery and development.