Platanus occidentalis L. fruit-derived carbon materials for electrochemical potassium storage.

In the post-lithium-ion battery era, potassium-ion batteries (PIBs) have been considered as a promising candidate because of their electrochemical and economic characteristics. However, as an emerging electrochemical storage technology, it is urgent to develop capable anode materials that can be produced at low cost and on a large scale to promote its practical application. Biomass-derived carbon materials as anodes of PIBs exhibit strong competitiveness by their merits of low weight, high stability, non-toxicity, and wide availability.

Natural Densitals.

The concept of natural densitals (NDs) and their amplitudes is introduced. These quantities provide the spectral decomposition of the cumulant of the two-electron density that, by definition, quantifies the extent of electron correlation. Consequently, they are ideally suited for a rigorous description of electron correlation effects in Coulombic systems.

Unveiling hidden reaction kinetics of carbon dioxide in supercritical aqueous solutions.

Dissolution of CO in water followed by the subsequent hydrolysis reactions is of great importance to the global carbon cycle, and carbon capture and storage. Despite numerous previous studies, the reactions are still not fully understood at the atomistic scale. Here, we combined ab initio molecular dynamics (AIMD) simulations with Markov state models to elucidate the reaction mechanisms and kinetics of CO in supercritical water both in the bulk and nanoconfined states.

US Corn Belt enhances regional precipitation recycling.

Precipitation recycling, where evapotranspiration (ET) from the land surface contributes to precipitation within the same region, is a critical component of the water cycle. This process is especially important for the US Corn Belt, where extensive cropland expansions and irrigation activities have significantly transformed the landscape and affected the regional climate. Previous studies investigating precipitation recycling typically relied on analytical models with simplifying assumptions, overlooking the complex interactions between groundwater hydrology and agricultural management.

VCP controls KCC2 degradation through FAF1 recruitment and accelerates emergence from anesthesia.

Ubiquitin-proteasomal degradation of K/Cl cotransporter 2 (KCC2) in the ventral posteromedial nucleus (VPM) has been demonstrated to serve as a common mechanism by which the brain emerges from anesthesia and regains consciousness. Ubiquitin-proteasomal degradation of KCC2 during anesthesia is driven by E3 ligase Fbxl4. However, the mechanism by which ubiquitinated KCC2 is targeted to the proteasome has not been elucidated.

Bridging thrombolysis versus direct endovascular treatment in acute vertebrobasilar artery complex occlusion.

Objective: Endovascular treatment (EVT) is an effective treatment for patients with acute vertebrobasilar artery complex occlusion (VBAO). However, the benefit of bridging thrombolysis prior to EVT remains controversial. The purpose of the present study is to explore the best treatment strategy between bridging treatment (BT) and direct EVT in patients with acute VBAO.

Dual-Anion-Rich Polymer Electrolytes for High-Voltage Solid-State Lithium Metal Batteries.

Solid polymer electrolytes (SPEs) are promising candidates for lithium metal batteries (LMBs) owing to their safety features and compatibility with lithium metal anodes. However, the inferior ionic conductivity and electrochemical stability of SPEs hinder their application in high-voltage solid-state LMBs (HVSSLMBs). Here, a strategy is proposed to develop a dual-anion-rich solvation structure by implementing ferroelectric barium titanate (BTO) nanoparticles (NPs) and dual lithium salts into poly(vinylidene fluoride) (PVDF)-based SPEs for HVSSLMBs.

Voices of Nanomedicine: Blueprint Guidelines for Collaboration in Addressing Global Unmet Medical Needs.

The "" under this Perspective underline the importance of interdisciplinary collaboration and partnerships across several disciplines, such as medical science and technology, medicine, bioengineering, and computational approaches, in bridging the gap between research, manufacturing, and clinical applications. Effective communication is key to bridging team gaps, enhancing trust, and resolving conflicts, thereby fostering teamwork and individual growth toward shared goals. Drawing from the success of the COVID-19 vaccine development, we advocate the application of similar collaborative models in other complex health areas such as nanomedicine and biomedical engineering.

Prediction of Thermodynamic Properties of C-Based Fullerenols Using Machine Learning.

Traditional machine learning methods face significant challenges in predicting the properties of highly symmetric molecules. In this study, we developed a machine learning model based on graph neural networks (GNNs) to accurately and swiftly predict the thermodynamic and photochemical properties of fullerenols, such as C(OH) ( = 1 to 30). First, we established a global method for generating fullerenol isomers through isomer fingerprinting, which can generate all possible isomers or produce diverse structural types on demand.

Exploring associations between the FTO rs9939609 genotype and plasma concentrations of appetite-related hormones in adults with obesity.

Associations between variants in the FTO locus and plasma concentrations of appetite related hormones are inconsistent, and might not work in a dose dependent fashion in people with obesity. Moreover, it is relevant to report meal related plasma concentrations of these hormones in persons with obesity given the growing interest in their pharmacological potential in obesity therapy. We find it clinically relevant to examine associations between the SNP rs9939609 genotypes and homeostatic appetite regulation in individuals with BMI ≥35 kg/m2.

Bacillus coagulans alleviates hepatic injury caused by Klebsiella pneumoniae in rabbits.

Background: As an opportunistic bacterial pathogen, Klebsiella pneumoniae (KP) is prone to causing a spectrum of diseases in rabbits when their immune system is compromised, which poses a threat to rabbit breeding industry. Bacillus coagulans (BC), recognized as an effective probiotic, confers a variety of benefits including anti-inflammatory and antioxidant properties.

Aim: The purpose of this study was to investigate whether dietary BC can effectively alleviate hepatic injury caused by KP.

Research on the construction of an urban underground parking space color system from the perspective of psychological perception.

Color, an intuitive element affecting human senses, can adapt to the environment of a space, evoke emotional responses, trigger and accumulate visual experiences, and enhance the effectiveness of color in shaping spatial atmosphere and reinforcing spatial divisions. In the context of rapid urban underground space development, examining the rational application of color in underground parking spaces is crucial for improving guidance, comfort, and aesthetics. This exploration is essential for achieving high-quality development in urban underground parking environments.

A hybrid unsupervised machine learning model with spectral clustering and semi-supervised support vector machine for credit risk assessment.

In credit risk assessment, unsupervised classification techniques can be introduced to reduce human resource expenses and expedite decision-making. Despite the efficacy of unsupervised learning methods in handling unlabeled datasets, their performance remains limited owing to challenges such as imbalanced data, local optima, and parameter adjustment complexities. Thus, this paper introduces a novel hybrid unsupervised classification method, named the two-stage hybrid system with spectral clustering and semi-supervised support vector machine (TSC-SVM), which effectively addresses the unsupervised imbalance problem in credit risk assessment by targeting global optimal solutions.

Radiative Warming Glass for High-Latitude Cold Regions.

Traditional window glazing, with inherently adverse energy-efficient optical properties, leads to colossal energy losses. Energy-saving glass requires a customized optical design for different climate zones. Compared with the widely researched radiative cooling technology which is preferable to be used in low-altitude hot regions; conversely in high-latitude cold regions, high solar transmittance (T) and low mid-infrared thermal emissivity (ε) are the key characteristics of high-performance radiative warming window glass, while the current low-emissivity (low-e) glass is far from ideal.

Precise Sizing and Collision Detection of Functional Nanoparticles by Deep Learning Empowered Plasmonic Microscopy.

Single nanoparticle analysis is crucial for various applications in biology, materials, and energy. However, precisely profiling and monitoring weakly scattering nanoparticles remains challenging. Here, it is demonstrated that deep learning-empowered plasmonic microscopy (Deep-SM) enables precise sizing and collision detection of functional chemical and biological nanoparticles.

Malignant hypertension induces thrombotic microangiopathy and renal failure: A case report.

Rationale: Thrombotic microangiopathies (TMA) caused by malignant hypertension is an acute and critical disease among rare diseases. Although renal biopsy pathology is a golden indicator for diagnosing kidney disease, it cannot distinguish between primary and secondary TMA and requires a comprehensive diagnosis in conjunction with other laboratory tests and medical history.

Patient Concerns: A 33-year-old young man was hospitalized due to unexplained kidney failure.

Development and validation of a metabolic syndrome and its components to predict the efficacy of neoadjuvant chemotherapy in breast cancer: An observational, single-center, cohort study.

To assess whether metabolic syndrome can be used as a reference index to evaluate the efficacy of neoadjuvant chemotherapy treatment for breast cancer (BC). Seventy cases of female BC patients who received neoadjuvant chemotherapy treatment and surgical treatment at the Glandular Surgery Department of Hebei Provincial People's Hospital from January 2021 to December 2023 were retrospectively collected, and clinical data such as puncture pathology were recorded. The clinical data were analyzed by 1-way analysis using the χ2 test, and further multifactorial logistic regression analysis was performed for statistically significant differences.

Retrospective analysis of clinical characteristics and treatment differences between severe and non-severe neonatal types of pneumonia with RSV infection.

Understanding the differences between children with severe and non-severe types of neonatal pneumonia is crucial for clinical treatment and disease management. In this study, we retrospectively analyzed the clinical data of infants with neonatal pneumonia diagnosed as respiratory syncytial virus infection at Wuhan Children's Hospital between December 1, 2022 and November 30, 2023. Further, the recruited subjects were categorized into severe and non-severe groups based on the severity score.

Laparoscopic cholecystectomy for triple gallbladder malformation: A comprehensive case report and literature review.

Rationale: Triple gallbladder is a rare congenital anatomical abnormality because of the incomplete regression of rudimentary bile ducts and is often not found until it is accidentally detected during imaging research.

Patient Concerns: We report a rare case of triple gallbladder malformation and review the English literature on biliary tract variation caused by gallbladder malformation. The diagnosis, treatment, and postoperative situation of the patients were summarized and analyzed.

Large enhancement of ferroelectric properties of perovskite oxides via nitrogen incorporation.

Perovskite oxides have a wide variety of physical properties that make them promising candidates for versatile technological applications including nonvolatile memory and logic devices. Chemical tuning of those properties has been achieved, to the greatest extent, by cation-site substitution, while anion substitution is much less explored due to the difficulty in synthesizing high-quality, mixed-anion compounds. Here, nitrogen-incorporated BaTiO thin films have been synthesized by reactive pulsed-laser deposition in a nitrogen growth atmosphere.

Cpeb1 remodels cell type-specific translational program to promote fear extinction.

Protein translation is crucial for fear extinction, a process vital for adaptive behavior and mental health, yet the underlying cell-specific mechanisms remain elusive. Using a Tet-On 3G genetic approach, we achieved precise temporal control over protein translation in the infralimbic medial prefrontal cortex () during fear extinction. In addition, our results reveal that the disruption of cytoplasmic polyadenylation element binding protein 1 (Cpeb1) leads to notable alterations in cell type-specific translational programs, thereby affecting fear extinction.

Semi-Supervised Learning Allows for Improved Segmentation With Reduced Annotations of Brain Metastases Using Multicenter MRI Data.

Background: Deep learning-based segmentation of brain metastases relies on large amounts of fully annotated data by domain experts. Semi-supervised learning offers potential efficient methods to improve model performance without excessive annotation burden.

Purpose: This work tests the viability of semi-supervision for brain metastases segmentation.

Structural basis of Epstein-Barr virus gp350 receptor recognition and neutralization.

Epstein-Barr virus (EBV) is an oncogenic virus associated with multiple lymphoid malignancies and autoimmune diseases. During infection in B cells, EBV uses its major glycoprotein gp350 to recognize the host receptor CR2, initiating viral attachment, a process that has lacked direct structural evidence for decades. In this study, we resolved the structure of the gp350-CR2 complex, elucidated their key interactions, and determined the site-specific N-glycosylation map of gp350.

Prevalence, Risk Factors, Causes, Assessments, and Prevention of Medical Adhesive-Related Skin Injury: A Scoping Review.

Objective: To evaluate research on medical adhesive-related skin injury (MARSI), focusing on its incidence, prevalence, risk factors, causes, assessments, and prevention.

Data Sources: Searches were conducted on Wanfang Data, China National Knowledge Infrastructure, PubMed, Web of Science Core Collection, MEDLINE, EMBASE, and the Cumulative Index of Nursing and Allied Health Literature Plus with Full Text.

Study Selection: Using search terms "medical adhesive related skin injury", "MARSI", "adhesive skin injury", and "medical tape-induced skin injury", the authors selected 43 original articles published between January 1, 2001, and May 12, 2022, in English or Chinese.

Visualizing Preosteoarthritis: Updates on UTE-Based Compositional MRI and Deep Learning Algorithms.

Osteoarthritis (OA) is heterogeneous and involves structural changes in the whole joint, such as cartilage, meniscus/labrum, ligaments, and tendons, mainly with short T2 relaxation times. Detecting OA before the onset of irreversible changes is crucial for early proactive management and limit growing disease burden. The more recent advanced quantitative imaging techniques and deep learning (DL) algorithms in musculoskeletal imaging have shown great potential for visualizing "pre-OA.