Quantum Dot Luminescence Microspheres Enable Ultra-Efficient and Bright Micro-LEDs.

Quantum dot (QD)-converted micrometer-scale light-emitting diodes (micro-LEDs) are regarded as an effective solution for achieving high-performance full-color micro-LED displays because of their narrow-band emission, simplified mass transfer, facile drive circuits, and low cost. However, these micro-LEDs suffer from significant blue light leakage and unsatisfactory electroluminescence properties due to the poor light conversion efficiency and stability of the QDs. Herein, the construction of green and red QD luminescence microspheres with the simultaneously high conversion efficiency of blue light and strong photoluminescence stability are proposed.

GelMA Hydrogels Integrated With aptamer CH6-Functionalized Tetrahedral DNA Nanostructures for Osteoporotic Mandibular Regeneration.

Osteoporotic bone regeneration is challenging due to impaired bone formation. Tetrahedral DNA nanostructures (TDN), promising nucleic acid nanomaterials, have garnered attention for their potential in osteoporotic mandibular regeneration owing to their ability to enhance cellular activity and promote osteogenic differentiation. Osteoblasts play a critical role in bone regeneration; however, intracellular delivery of TDN into osteoblasts remains difficult.

The First Molecular Ferroelectric Mott Insulator.

With the discovery of colossal magnetoresistance materials and high-temperature superconductors, Mott insulators can potentially undergo a transition from insulating state to metallic state. Here, in molecular ferroelectrics system, a Mott insulator of (CHN)VO has been first synthesized, which is a 2D organic-inorganic ferroelectric with composition of layered vanadium oxide and quinuclidine ring. Interestingly, accompanied by the ferroelectric phase transition, (CHN)VO changes sharply in conductivity.

Solvothermal Template-Induced Hierarchical Porosity in Covalent Organic Frameworks: A Pathway to Enhanced Diffusivity.

The rapid advancement of covalent organic frameworks (COFs) in recent years has firmly established them as a new class of molecularly precise and highly tuneable porous materials. However, compared to other porous materials, such as zeolites and metal-organic frameworks, the successful integration of hierarchical porosity into COFs remains largely unexplored. The challenge lies in identifying appropriate synthetic methods to introduce secondary pores without compromising the intrinsic structural porosity of COFs.

Untethered Soft Robots Based on 1D and 2D Nanomaterials.

Biological structures exhibit autonomous and intelligent behaviors, such as movement, perception, and responses to environmental changes, through dynamic interactions with their surroundings. Inspired by natural organisms, future soft robots are also advancing toward autonomy, sustainability, and interactivity. This review summarizes the latest achievements in untethered soft robots based on 1D and 2D nanomaterials.

Factors Associated with the Patient Safety Activities among Home-Visit Caregiver: A Cross-Sectional Study.

Background: Home-visit care should prioritize patient safety and promote positive safety awareness to maintain caregivers' commitment to providing safe care. This descriptive study aims to examine the relationship between home-visit caregivers' knowledge, attitudes, awareness of patient safety, and safety-related activities.

Methods: The participants were 210 adult home-visit caregivers, aged 20 years or older, with more than six months of experience working at six long-term care centers in D Metropolitan City.

Recyclable Nano Zero-Valent Iron (nZVI)-Catalyst-Mediated Sustainable Photopolymerization of Glycidyl Methacrylate in Ionic Liquid and Functional Copolymers Thereof.

Utilization of reusable catalysts and reaction media has recently been an area of interest to devise a sustainable approach. Interestingly, photoinduced reversible deactivation radical polymerization (photoRDRP) of glycidyl methacrylate (GMA) is achieved with reusable and magnetically separable nano zero-valent Iron (nZVI). This resulted in well-defined poly(glycidyl methacrylate) (PGMA) (upto 22700 g mol) with a low dispersity (Đ ≤ 1.

Exploring how attachment insecurities mediate the link between sexual and partnership satisfaction in adolescents and young adults with cancer.

Background And Purpose: Comprehensive data on factors affecting partnership satisfaction among adolescents and young adult (AYA) cancer survivors are limited. Our study examines partnership satisfaction, sexual satisfaction, and attachment insecurities, exploring how attachment-related anxiety and avoidance influence the relationship between sexual and partnership satisfaction across major tumor entities in this population.

Patients And Methods: We utilized data from two measurement time points (t1 and t6) of the AYA-LE study, a prospective longitudinal investigation examining the temporal course and associated factors of life satisfaction and psychological distress among AYA cancer survivors.

The Effect of Gallic Acid on the Alleviation of the Chemotherapy-Induced Myelosuppression.

Objective: This study aims to investigate the effect of Gallic Acid (GA) on the alleviation of chemotherapy-induced bone marrow suppression, with a comparison to Diyu sheng bai tablets (DYSB) and RhG-CSF.

Methods: A mouse model of bone marrow suppression was established in BALB/c mice using intraperitoneal injections of cyclophosphamide (CTX). All procedures were performed after obtaining ethical clearance from the institutional animal ethics committee.

Exploring the Mechanism of Acupuncture in Improving Ovarian Function in Rats with Poor Ovarian Response Using High-Throughput Sequencing.

Objective: This study aimed to investigate the possible mechanism through which acupuncture protects ovaries with Poor Ovarian Response (POR) in rats based on microRNA (miRNA).

Methods: Thirty-six SPF SD female non-pregnant rats aged 8 weeks were randomly divided into the blank group, model group, and acupuncture group, with 12 rats in each group. According to the group, the rats were given gavage of Tripterygium wilfordii polyglycosides suspension for 14 days to establish the model of POR, and then the rats were treated with acupuncture for 2 weeks, once a day, for 20 minutes.

Elucidating the Causal Dynamics between Inflammatory Proteins and Atrial Fibrillation Risk Through Bidirectional Mendelian Randomization.

Background: Atrial fibrillation (AF), the most common cardiac arrhythmia, is associated with significant morbidity and mortality. Inflammation has been implicated in the pathogenesis of AF, but the causal relationship between specific inflammatory proteins and AF risk is not well established. This study aims to clarify this relationship using a bidirectional two-sample Mendelian Randomization (TSMR) approach.

Niosomal Encapsulation of Anti-Cancer Peptides: A Revolutionary Strategy in Cancer Therapy.

Cancer treatment has evolved significantly over the years, incorporating a range of modalities including surgery, radiation, chemotherapy, and immunotherapy. However, challenges such as drug resistance, systemic toxicity, and poor targeting necessitate innovative approaches. Peptides have gained attention in cancer therapy due to their specificity, potency, and ability to modulate various biological pathways.

Robust Spray Combustion Enabling Hierarchical Porous Carbon-Supported FeCoNi Alloy Catalyst for Zn-Air Batteries.

Rechargeable Zn-air batteries (RZABs) are poised for industrial application, yet they require low-cost, high-performance catalysts that efficiently facilitate both the oxygen reduction reaction (ORR) and the oxygen evolution reaction (OER). The pivotal challenge lies in designing multimetal active sites and optimizing the carbon skeleton structure to modulate catalyst activity. In this study, we introduce a novel hierarchical porous carbon-supported FeCoNi bifunctional catalyst, synthesized via a spray combustion method.

[Prediction of areas of snail spread in Anhui Province based on five machine learning models].

Objective: To predict the areas of snail spread in Anhui Province from 1977 to 2023 using machine learning models, and to compare the effectiveness of different machine learning models for prediction of areas of snail spread, so as to provide insights into investigating the trends in areas of snail spread.

Methods: Data pertaining to snail spread in Anhui Province from 1977 to 2023 were collected and a database was created. Five machine learning models were created using the software Matlab R2019b, including support vector regression (SVR), nonlinear autoregressive (NAR) neural network, back propagation (BP) neural network, gated recurrent unit (GRU) neural network and long short-term memory (LSTM) neural network models, and the model fitting effect was evaluated with mean absolute error (MAE), root mean squared error (RMSE) and coefficient of determination ().

[Prediction of potential geographic distribution of in Yunnan Province using random forest and maximum entropy models].

Objective: To predict the potential geographic distribution of in Yunnan Province using random forest (RF) and maximum entropy (MaxEnt) models, so as to provide insights into surveillance and control in Yunnan Province.

Methods: The snail survey data in Yunnan Province from 2015 to 2016 were collected and converted into snail distribution site data. Data of 22 environmental variables in Yunnan Province were collected, including twelve climate variables (annual potential evapotranspiration, annual mean ground surface temperature, annual precipitation, annual mean air pressure, annual mean relative humidity, annual sunshine duration, annual mean air temperature, annual mean wind speed, ≥ 0 ℃ annual accumulated temperature, ≥ 10 ℃ annual accumulated temperature, aridity and index of moisture), eight geographical variables (normalized difference vegetation index, landform type, land use type, altitude, soil type, soil textureclay content, soil texture-sand content and soil texture-silt content) and two population and economic variables (gross domestic product and population).

Rational Design of Quinoidal Conjugated Polymers for Photothermal Antibacterial Therapy.

The increasing prevalence of antibiotic resistance, driven by the overuse and misuse of conventional antibiotics, has become a critical public health concern. Photothermal antibacterial therapy (PTAT) utilizes heat generated by photothermal agents under light exposure to inhibit bacterial growth without inducing resistance, attracting more and more attention. Quinoid conjugated polymers, especially para-azaquinodimethane (AQM) polymer, are a class of organic semiconductors known for efficient π-electron delocalization, near-infrared absorption, and narrow bandgap, showing great potential in the application of photothermal reagents.

Deciphering Protein Secondary Structures and Nucleic Acids in Cryo-EM Maps Using Deep Learning.

With the resolution revolution of cryo-electron microscopy (cryo-EM) and the rapid development of image processing technology, cryo-EM has become an indispensable experimental method for determining the three-dimensional structures of biological macromolecules. However, structural modeling from cryo-EM maps remains a difficult task for intermediate-resolution maps. In such cases, detection of protein secondary structures and nucleic acid locations in an EM map is of great value for model building of the map.

First Report of causing crown rot on (Olive) in Pakistan.

Crown rot impacted olive plants (cv. Koroneiki) in an orchard in Chakwal, Punjab, Pakistan (32° N, 72° E), with a prevalence of 60%. Observable symptoms included leaf chlorosis, defoliation, wilting, and twig dieback in 6-8-year-old plants, ultimately resulting in their demise (Fig.

Exploring Tetra-/Penta-/Hexavalent Ion Substitution in Yttrium-Based Halide Solid-State Electrolytes.

Although aliovalent ion substitution is an important strategy for enhancing ionic conductivity in halide electrolytes, the choice of doping ions is often restricted to tetravalent ions, and investigations into the intrinsic origin of the doping mechanism are lacking. In this work, we investigated the effects of Zr, Ta and W doping on the crystal structure and ionic conductivity of yttrium-based rare-earth halides. Only Zr achieves fast ion diffusion in both the (001) and (002) crystal planes by affecting the volume of the octahedron and the tetrahedral interstitial space, whereas Ta significantly enhances the ion diffusion rate in the (001) crystal plane while suppressing it in the (002) plane, and W does the opposite.

LaSrMnO Perovskites for Oxygen Reduction in Zn-Air Batteries: Enhanced by Glucose Regulation.

The actual ORR catalytic activity of perovskite materials is significantly lower than the theoretical value due to their inherently low specific surface area and significant segregation of inactive oxygen ions on the surface. This study reports a sol-gel synthesis approach that employs glucose as a structural regulator to fabricate LaSrMnO (LSM) perovskites. Compared with the original LSM (12.

Assessment of diabetes-specific eating disorder risk in adult patients with diabetes.

Purpose: Adults with type 1 diabetes (T1D) are reported to be at higher risk for clinical eating disorders (ED) and other disordered eating behaviors (DEB) than their peers without diabetes. On the other hand, there is insufficient data on DEB in adults with type 2 diabetes (T2D). Our study aimed to investigate the prevalence of DEB in patients with T1D and T2D on intensive insulin therapy followed in our outpatient clinic.

Effects of parental psychological control on mobile phone addiction among college students: the mediation of loneliness and the moderation of physical activity.

Objective: Prior studies have shown that parental psychological control is linked to an increased risk of mobile phone addiction. Nevertheless, few studies have analyzed the potential mechanisms that may mediate or moderate this association. This study aims to investigate the role of loneliness as a mediator in the relationship between parental psychological control and mobile phone addiction, as well as the potential moderating effect of physical activity on this mediation process.

Short-term variability of Alzheimer's disease plasma biomarkers in a mixed memory clinic cohort.

Background: For clinical implementation of Alzheimer's disease (AD) blood-based biomarkers (BBMs), knowledge of short-term variability, is crucial to ensure safe and correct biomarker interpretation, i.e., to capture changes or treatment effects that lie beyond that of expected short-term variability and considered clinically relevant.