Deciphering the Radial Ligand Effect of Biomimetic Amino Acid toward Stable Alkaline Oxygen Evolution.

Mismatched electron and proton transport rates impede the manifestation of effective performance of the electrocatalytic oxygen evolution reaction (OER), thereby limiting its industrial applications. Inspired by the natural protein cluster in PS-II, different organic-inorganic hybrid electrocatalysts were synthesized via a hydrothermal method. -Toluidine (PT), benzoic acid (BA), and -aminobenzoic acid (PABA) were successfully intercalated into NiFe-LDH.

Electrolyte chemistry towards ultra-high voltage (4.7 V) and ultra-wide temperature (-30 to 70 °C) LiCoO2 batteries.

LiCoO2 batteries for 3C electronics demand high charging voltage and wide operating temperature range, which are virtually impossible for existing electrolytes due to aggravated interfacial parasitic reactions and sluggish kinetics. Herein, we report an electrolyte design strategy based on a partially fluorinated ester solvent (i.e.

High prevalence of reverse transcriptase inhibitors associated resistance mutations among people living with HIV on dolutegravir-based antiretroviral therapy in Francistown, Botswana.

Objectives: We assessed HIV-1 drug resistance profiles among people living with HIV (PLWH) with detectable viral load (VL) and on dolutegravir-based antiretroviral therapy (ART) in Botswana.

Methods: The study utilised available 100 residual HIV-1 VL samples from unique PLWH in Francistown who had viraemia at-least 6 months after initiating ART in Botswana's national ART program from November 2023 to January 2024. Viraemia was categorized as low-level viraemia (LLV) (VL: 200-999 copies/mL) or virologic failure (VF) (VL ≥1000 copies/mL).

Building a teaching method for "clinical molecular biology testing technology" guided by the cultivation of thinking skills.

The knowledge of "clinical molecular biology testing technology" is complex, conceptual expressions are abstract and difficult to understand, and the student's interest in learning is low. This study aimed to evaluate the effectiveness of a cyclic teaching method based on case analysis combined with an exploratory teaching method using mind mapping as an assignment. Students from the 2019 cohort of medical laboratory technology at Hunan University of Chinese Medicine served as the control group and received conventional lecture-based teaching methods.

STMGraph: spatial-context-aware of transcriptomes via a dual-remasked dynamic graph attention model.

Spatial transcriptomics (ST) technologies enable dissecting the tissue architecture in spatial context. To perceive the global contextual information of gene expression patterns in tissue, the spatial dependence of cells must be fully considered by integrating both local and non-local features by means of spatial-context-aware. However, the current ST integration algorithm ignores for ST dropouts, which impedes the spatial-aware of ST features, resulting in challenges in the accuracy and robustness of microenvironmental heterogeneity detecting, spatial domain clustering, and batch-effects correction.

Impartial Intergenerational Beneficence: The Psychology of Feeling (Equal) Intergenerational Concern for All Future Generations.

Across a series of eight high-powered studies ( = 6,866), we develop a method for assessing impartial intergenerational beneficence, defined as intergenerational concern for all possible future generations. Across our studies, roughly 20% of participants displayed impartial intergenerational beneficence. Participants with impartial intergenerational beneficence expressed greater perceptions that future threats can be resolved, support for policies seeking to protect future generations of people, and a profound sense of responsibility for the long-term survival and prosperity of humanity.

Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study.

Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).

Characterization of 3,3'-iminodipropionitrile (IDPN) damaged utricle transcriptome in the adult mouse utricle.

Utricle is an important vestibular sensory organ for maintaining balance. 3,3'-iminodipropionitrile (IDPN), a prototype nitrile toxin, has been reported to be neurotoxic and vestibulotoxic, and can be used to establish an damage model of vestibular dysfunction. However, the mechanism of utricular HCs damage caused by IDPN is unclear.

Insulator-donor electron wavefunction coupling in pseudo-bilayer organic solar cells achieving a certificated efficiency of 19.18.

The incorporation of polymeric insulators has led to notable achievements in the field of organic semiconductors. By altering the blending concentration, polymeric insulators exhibit extensive capabilities in regulating molecular configuration, film crystallinity, and mitigation of defect states. However, current research suggests that the improvement in such physical properties is primarily attributed to the enhancement of thin film morphology, an outcome that seems to be an inevitable consequence of incorporating insulators.

Extremely low lattice thermal conductivity in light-element solid materials.

Lattice thermal conductivity ( ) is of great importance in basic sciences and in energy conversion applications. However, low- crystalline materials have only been obtained from heavy elements, which typically exhibit poor stability and possible toxicity. Thus, low- materials composed of light elements should be explored.

Unlocking new possibilities in ionic thermoelectric materials: a machine learning perspective.

The high thermopower of ionic thermoelectric (-TE) materials holds promise for miniaturized waste-heat recovery devices and thermal sensors. However, progress is hampered by laborious trial-and-error experimentations, which lack theoretical underpinning. Herein, by introducing the simplified molecular-input line-entry system, we have addressed the challenge posed by the inconsistency of -TE material types, and present a machine learning model that evaluates the Seebeck coefficient with an of 0.

A butterfly-shaped acceptor with rigid skeleton and unique assembly enables both efficient organic photovoltaics and high-speed organic photodetectors.

It remains challenging to design efficient bifunctional semiconductor materials in organic photovoltaic and photodetector devices. Here, we report a butterfly-shaped molecule, named WD-6, which exhibits low energy disorder and small reorganization energy due to its enhanced molecular rigidity and unique assembly with strong intermolecular interaction. The binary photovoltaic device based on PM6:WD-6 achieved an efficiency of 18.

Effect of conjugative transfer of antibiotic resistance genes mediated by plasmids on the microecology of different intestinal segments.

Introduction: The conjugative transfer of antibiotic resistance genes (ARGs) mediated by plasmids occurred in different intestinal segments of mice was explored.

Methods: The location of ARG donor bacteria and ARGs was investigated by qPCR, flow cytometry, and small animal imaging. The resistant microbiota was analyzed by gene amplification sequencing.

Dissemination of Decision Aids about Hip and Knee Osteoarthritis to Spanish-Speaking Adults through Social Media.

Background: Older adults and Hispanic individuals are increasingly turning to social media platforms to access health-related information. The purpose of this project was to evaluate a social media campaign to disseminate information from decision aids (DAs) on hip and knee osteoarthritis to Spanish-speaking adults.

Methods: A social media marketing team helped create an 8-mo campaign posted across 3 social media platforms to promote visits to a Web site offering free multilingual DAs for treatment of hip or knee osteoarthritis.

Study on the mechanism of acupuncture to improve mild cognitive impairment in hypertension by regulating intestinal microbiome.

High blood pressure is a significant risk factor for cardiovascular diseases and is linked to an increased risk of mild cognitive impairment (MCI). The lack of effective treatments for these conditions highlights the urgent need for novel therapeutic approaches. Recent research suggests that the gut microbiota-brain-gut axis plays a crucial role in the pathogenesis of hypertension and MCI by regulating the nervous, endocrine, and immune systems.

Effects of Remimazolam on Intraoperative Frontal Alpha Band Power Spectrum Density and Postoperative Cognitive Function in Older Adults Undergoing Lower Extremity Fractures Surgeries: A Randomized Controlled Trial.

Purpose: Low density of electroencephalogram alpha band power was reported to be associated with perioperative cognitive dysfunction. Few studies have conducted to explore the effects of remimazolam on intraoperative frontal alpha band power spectrum density in older adults. Here, we aimed to explore the impact of remimazolam on intraoperative frontal brain wave alpha band activity and postoperative cognitive function in older adults undergoing lower extremity fractures surgeries.

Multiple testing for signal-agnostic searches for new physics with machine learning.

In this work, we address the question of how to enhance signal-agnostic searches by leveraging multiple testing strategies. Specifically, we consider hypothesis tests relying on machine learning, where model selection can introduce a bias towards specific families of new physics signals. Focusing on the New Physics Learning Machine, a methodology to perform a signal-agnostic likelihood-ratio test, we explore a number of approaches to multiple testing, such as combining -values and aggregating test statistics.

The value of radiomics-based hyperdense middle cerebral artery sign in predicting hemorrhagic transformation in acute ischemic stroke patients undergoing endovascular treatment.

Objective: To establish and validate a model based on hyperdense middle cerebral artery sign (HMCAS) radiomics features for predicting hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS) after endovascular treatment (EVT).

Methods: Patients with AIS who presented with HMCAS on non-contrast computed tomography (NCCT) at admission and underwent EVT at three comprehensive hospitals between June 2020 and January 2024 were recruited for this retrospective study. A radiomics model was constructed using the HMCAS radiomics features most strongly associated with HT.

Association of frailty with cardiovascular and all-cause mortality in community-dwelling older adults: insights from the Chinese longitudinal healthy longevity survey.

Background: Previous studies suggest that frailty increases the risk of mortality, but the risk of cardiovascular disease (CVD) and all-cause mortality in Chinese community-dwelling older adults remains understudied. Our aim was to explore the effect of frailty on cardiovascular and all-cause mortality in older adults based on a large-scale prospective survey of community-dwelling older adults in China.

Methods: We utilized the 2014-2018 cohort of the Chinese Longitudinal Healthy Longevity Survey and constructed a frailty index (FI) to assess frailty status.

A non-linear association of low-density lipoprotein cholesterol with all-cause and cardiovascular mortality among patients with hypertension.

Background: Although a few studies have examined the correlation between low-density lipoprotein cholesterol (LDL-C) and mortality, no study has explored these associations in hypertensive populations. This study aims to investigate the relationship between low-density lipoprotein cholesterol and cardiovascular and all-cause mortality in adults with hypertension.

Methods: Hypertensive participants aged ≥18 years from the National Health and Nutrition Examination Survey 1999-2018 with blood lipid testing data and complete follow-up data until 31 December 2019 were enrolled in the analysis.

Examining a brief web and longitudinal app-based intervention [Wysa] for mental health support in Singapore during the COVID-19 pandemic: mixed-methods retrospective observational study.

The COVID-19 pandemic in Singapore led to limited access to mental health services, resulting in increased distress among the population. This study explores the potential benefits of offering a digital mental health intervention (DMHI), Wysa, as a brief and longitudinal intervention as part of the mindline.sg initiative launched by the MOH Office for Healthcare Transformation in Singapore.

Prediction of preoperative peritoneal cancer index for pseudomyxoma peritonei by multiple linear regression analysis.

Background: The aim of the present study was to establish a predictive model to predict the peritoneal cancer index (PCI) preoperatively in patients with pseudomyxoma peritonei (PMP).

Methods: A total of 372 PMP patients were consecutively included from a prospective follow-up database between 1 June 2013 and 1 June 2023. Nine potential variables, namely, gender, age, Barthel Index (BAI), hemoglobin (Hb), albumin (Alb), D-dimer, carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA 125), and CA 19-9, were estimated using multiple linear regression (MLR) analysis with a stepwise selection procedure.

Physical activity and anxiety during the COVID-19 pandemic in Tanzania: insights for public health policy in low-income contexts.

Background: The COVID-19 pandemic heightened anxiety levels globally, disproportionately affecting low-and middle-income countries (LMICs). Physical activity (PA) has shown potential to alleviate mental health challenges, including anxiety. This study explores the relationship between PA and anxiety among Tanzanian adults during the pandemic, examining whether self-reported health status moderates this relationship and identifying demographic variations.