Optimization of CuO/GaO Heterojunction Diodes for High-Voltage Power Electronics.

This study optimizes the CuO/GaO heterojunction diodes (HJDs) by tailoring the structural parameters of CuO layers. The hole concentration in the sputtered CuO was precisely controlled by adjusting the Ar/O gas ratio. Experimental investigations and TCAD simulations were employed to systematically evaluate the impact of the CuO layer dimension and hole concentration on the electrical performance of HJDs.

Theoretical and experimental investigations of the CMOS compatible Pirani gauges with a temperature compensation model.

In this article, a CMOS-compatible Pirani vacuum gauge was proposed featuring enhanced sensitivity, lower detection limit, and high-temperature stability, achieved through the implementation of a surface micromachining method coupled with a temperature compensation strategy. To improve performance, a T-type device with a 1 µm gap was fabricated resulting in an average sensitivity of 1.10 V/lgPa, which was 2.

Development and Validation of a Risk Prediction Model for Cognitive Frailty in Elderly Patients With Type 2 Diabetes Mellitus.

Aims: This study aimed to develop and validate a risk prediction model for cognitive frailty in elderly patients with Type 2 diabetes mellitus (T2DM).

Design: A cross-sectional design.

Methods: From February to November 2023, a convenience sample of 430 older adults with T2DM was enrolled at a tertiary hospital in Jinzhou.

Optimizing Lasing Performance of CsPbBr Microplates by Regulating Exciton Recombination Dynamics with Pressure.

This study aims to achieve an ultralow lasing threshold in CsPbBr microplates (MPs), a crucial step toward developing electrically driven micro/nanolasers for optics integrated chips. We investigate the lasing behavior of CsPbBr MPs under varying pressures by using static-state photoluminescence (PL), time-resolved PL (TRPL), and first-principles theory calculations based on density functional theory (DFT). Our results reveal that the lasing threshold initially decreases and then increases, with a critical turning point at 0.

Suppression of Short-Channel Effects in AlGaN/GaN HEMTs Using SiN Stress-Engineered Technique.

In this work, we present the novel application of SiN stress-engineering techniques for the suppression of short-channel effects in AlGaN/GaN high-electron-mobility transistors (HEMTs), accompanied by a comprehensive analysis of the underlying mechanisms. The compressive stress SiN passivation significantly enhances the barrier height at the heterojunction beneath the gate, maintaining it above the quasi-Fermi level even as rises to 20 V. As a result, in GaN devices with a gate length of 160 nm, the devices with compressive stress SiN passivation exhibit significantly lower drain-induced barrier lowering (DIBL) factors of 2.

Laser contacting of hairpin windings in electrical vehicle motors using ring-mode laser beams based on angularly-uniform Lissajous trajectories.

The contacting process of hairpin windings is deemed the most important and challenging process in manufacturing electric vehicle motors. This paper proposes a ring-mode laser contacting method for copper hairpin windings based on Lissajous-shaped cyclic scanning with a uniform angular speed. Two key variables, trajectory cycle n and angular multiplier k, which represent the laser energy input and distribution respectively, were investigated via single-factor experiments.

Analysis of factors affecting subjective cognitive decline in elderly hypertensive patients and the construction of a risk prediction model.

Subjective cognitive decline (SCD) is more prevalent in the elderly Chinese population, and individuals with hypertension are at greater risk for cognitive impairment. The aim of this study was to investigate the prevalence and factors affecting SCD in elderly hypertensive patients and to develop a risk prediction model. This was a cross-sectional study of 1098 elderly hypertensive patients in a tertiary care hospital.

Psychometric evaluation of the Chinese version of the Chronic Heart Failure Health-related Quality of Life Questionnaire (CHFQOLQ-20).

The incidence rate of chronic heart failure has increased significantly in China and has a large impact on patients' lives. The purpose of the study was to validate the Chronic Heart Failure Health-Related Quality of Life Questionnaire (CHFQOLQ-20) cross-culturally and test its reliability and validity in patients with chronic heart failure. This study was conducted by investigating 622 patients with chronic heart failure from August 2023 to January 2024, and the data were tested for validity using SPSS 25.

Improvement of DC Performance and RF Characteristics in GaN-Based HEMTs Using SiN Stress-Engineering Technique.

In this work, the DC performance and RF characteristics of GaN-based high-electron-mobility transistors (HEMTs) using the SiN stress-engineered technique were systematically investigated. It was observed that a significant reduction in the peak electric field and an increase in the effective barrier thickness in the devices with compressive SiN passivation contributed to the suppression of Fowler-Nordheim (FN) tunneling. As a result, the gate leakage decreased by more than an order of magnitude, and the breakdown voltage (BV) increased from 44 V to 84 V.

Reconfigurable, Transformable Soft Pneumatic Actuator with Tunable Three-Dimensional Deformations for Dexterous Soft Robotics Applications.

Numerous soft actuators based on pneumatic network (PneuNet) design have already been proposed and extensively employed across various soft robotics applications in recent years. Despite their widespread use, a common limitation of most existing designs is that their action is predetermined during the fabrication process, thereby restricting the ability to modify or alter their function during operation. To address this shortcoming, in this article the design of a Reconfigurable, Transformable Soft Pneumatic Actuator (RT-SPA) is proposed.

Inverse Identification of Constitutive Model for GH4198 Based on Genetic-Particle Swarm Algorithm.

A precise Johnson-Cook (J-C) constitutive model is the foundation for precise calculation of finite-element simulation. In order to obtain the J-C constitutive model accurately for a new cast and forged alloy GH4198, an inverse identification of J-C constitutive model was proposed based on a genetic-particle swarm algorithm. Firstly, a quasi-static tensile test at different strain rates was conducted to determine the initial yield strength , strain hardening coefficient , and work hardening exponent for the material's J-C model.

First-principles study on pressure-induced superconductivity and structural design on transition metal diborides.

Recent experiments on α-MoB2 with MgB2-type structure achieved superconductivity at ∼32 K under 90 GPa, the highest among transition-metal diborides, rekindling interest in their superconducting properties. Our study systematically investigates the band structures of AlB2-type transition metal diborides. We found that the superior superconductivity of MoB2, WB2, and TcB2 correlates with their von Hove singularities near the Fermi level (EF), potentially linked to electron-phonon coupling.

Structural Phase Transition and Disproportionation of MnF Under High Pressure and High Temperature.

Materials that once suffered under high-pressure and high-temperature conditions often display unusual phenomena that challenge traditional understanding. MnF, an intermediate valence state Mn-F compound, exhibits a distorted octahedral crystal structure influenced by the Jahn-Teller effect. Here we report the structural phase transition and self-disproportionation of MnF under high pressure and high temperature.

CAPE: a deep learning framework with Chaos-Attention net for Promoter Evolution.

Predicting the strength of promoters and guiding their directed evolution is a crucial task in synthetic biology. This approach significantly reduces the experimental costs in conventional promoter engineering. Previous studies employing machine learning or deep learning methods have shown some success in this task, but their outcomes were not satisfactory enough, primarily due to the neglect of evolutionary information.

New Virus Variant Detection Based on the Optimal Natural Metric.

The highly variable SARS-CoV-2 virus responsible for the COVID-19 pandemic frequently undergoes mutations, leading to the emergence of new variants that present novel threats to public health. The determination of these variants often relies on manual definition based on local sequence characteristics, resulting in delays in their detection relative to their actual emergence. In this study, we propose an algorithm for the automatic identification of novel variants.

Integrating PointNet-Based Model and Machine Learning Algorithms for Classification of Rupture Status of IAs.

Background: The rupture of intracranial aneurysms (IAs) would result in subarachnoid hemorrhage with high mortality and disability. Predicting the risk of IAs rupture remains a challenge.

Methods: This paper proposed an effective method for classifying IAs rupture status by integrating a PointNet-based model and machine learning algorithms.

Investigating the antiviral activity of Erigeron annuus (L.) pers extract against RSV and examining its active components.

Ethnopharmacological Relevance: The plants in the genus Erigeron are known to exhibit antiviral activities, including those against the respiratory syncytial virus (RSV). In traditional medicine Erigeron annuus (L.) Pers (EA) has been used in the treatment of pulmonary diseases and acute infectious hepatitis.

SnapFISH-IMPUTE: an imputation method for multiplexed DNA FISH data.

Chromatin spatial organization plays a crucial role in gene regulation. Recently developed and prospering multiplexed DNA FISH technologies enable direct visualization of chromatin conformation in the nucleus. However, incomplete data caused by limited detection efficiency can substantially complicate and impair downstream analysis.

Structural Phase Transition and Decomposition of XeF under High Pressure and Its Formation of Xe-Xe Covalent Bonds.

Noble gases with inert chemical properties have rich bonding modes under high pressure. Interestingly, Xe and Xe form covalent bonds, originating from the theoretical simulation of the pressure-induced decomposition of XeF, which has yet to be experimentally confirmed. Moreover, the structural phase transition and metallization of XeF under high pressure have always been controversial.

A combination influenza mRNA vaccine candidate provided broad protection against diverse influenza virus challenge.

Influenza viruses present a significant threat to global health. The production of a universal vaccine is considered essential due to the ineffectiveness of current seasonal influenza vaccines against mutant strains. mRNA technology offers new prospects in vaccinology, with various candidates for different infectious diseases currently in development and testing phases.

The optimal metric for viral genome space.

Understanding the structural similarity between genomes is pivotal in classification and phylogenetic analysis. As the number of known genomes rockets, alignment-free methods have gained considerable attention. Among these methods, the natural vector method stands out as it represents sequences as vectors using statistical moments, enabling effective clustering based on families in biological taxonomy.

Development and validation of a risk prediction model for mild cognitive impairment in elderly patients with type 2 diabetes mellitus.

Background: The prevalence of mild cognitive impairment (MCI) is steadily increasing among elderly people with type 2 diabetes (T2DM). This study aimed to create and validate a predictive model based on a nomogram.

Methods: This cross-sectional study collected sociodemographic characteristics, T2DM-related factors, depression, and levels of social support from 530 older adults with T2DM.

MEMS Oscillators-Network-Based Ising Machine with Grouping Method.

Combinatorial optimization (CO) has a broad range of applications in various fields, including operations research, computer science, and artificial intelligence. However, many of these problems are classified as nondeterministic polynomial-time (NP)-complete or NP-hard problems, which are known for their computational complexity and cannot be solved in polynomial time on traditional digital computers. To address this challenge, continuous-time Ising machine solvers have been developed, utilizing different physical principles to map CO problems to ground state finding.

GaN integrated optical devices for glycerol viscosity measurement.

This Letter presents the fabrication and characterization of a chip-scale GaN optical device for measuring glycerol viscosity. The monolithically integrated GaN chip with a size of 1 × 1 mm comprises a light-emitting diode (LED) and a photodiode (PD) on a transparent sapphire substrate. The glycerol droplet applied to the device acts as a medium for coupling light from the LED to the PD.

Factors associated with the level of self-management in elderly patients with chronic diseases: a pathway analysis.

Background: To analyze the effects and pathways of factors such as psychological capital, family functioning, and sources of meaning in life on the level of self-management in elderly patients with chronic diseases and to provide a basis for the development of relevant nursing interventions in the future.

Methods: Convenience sampling was used to select elderly patients with chronic diseases who underwent medical checkups and consultations at three community hospitals in Jinzhou city from March 2023 to October 2023, and the self-designed General Information Questionnaire (GIS), Psychological Capital of the Elderly Scale (PCE), Family Functioning Index Questionnaire (APGAR), Sources of Meaning of Life Scale for Older Adults(SMSE), and Self-Management Behavior of Chronic Patients Scale (SMCS) were used. SPSS 26.