Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net.

Objective: Segmenting and reconstructing 3D models of bone tumors from 2D image data is of great significance for assisting disease diagnosis and treatment. However, due to the low distinguishability of tumors and surrounding tissues in images, existing methods lack accuracy and stability. This study proposes a U-Net model based on double dimensionality reduction and channel attention gating mechanism, namely the DCU-Net model for oncological image segmentation.

HCTTI: High-Performance Heterogeneous Computing Toolkit for Tissue Image Stain Normalization.

Whole slide imaging (WSI) has transformed diagnostic medicine, particularly in the field of cancer diagnosis and treatment. The use of deep learning algorithms for predicting WSIs has opened up new avenues for advanced medical diagnostics. Additionally, stain normalization can reduce the color and intensity variations present in WSI from different hospitals.

Facile synthesis of CoTe-FeC for efficient overall water-splitting in an alkaline medium.

The large amounts of attention directed towards the commercialization of renewable energy systems have motivated extensive research to develop non-precious-metal-based catalysts for promoting the electrochemical production of H and O from water. Here, we report promising technology, , electrochemical water splitting for OER and HER. This work used a simple hydrothermal method to synthesize a novel CoTe-FeC nanocomposite directly on a stainless-steel substrate.

A study on the impact of enterprise digital transformation on informed trading.

Informed trading, driven by information asymmetry and market imperfections, varies in presence across markets. This form of trading not only distorts market transaction prices and hinders resource allocation but also initiates adverse selection transactions, increasing liquidity risks and potentially precipitating market crashes, thereby impeding the market's healthy development. Utilizing information asymmetry theory and principal-agent theory, this paper analyzes data from A-share listed companies from 2011 to 2022.

Feature matching based on local windows aggregation.

The core goal of feature matching is to establish correspondences between two images. Current methods without detectors achieve impressive results but often focus on global features, neglecting regions with subtle textures and resulting in fewer matches in areas with weak textures. This paper proposes a feature-matching method based on local window aggregation, which balances global features and local texture variations for more accurate matches, especially in weak-texture regions.

Robust optical multi-image encryption with lossless decryption Recovery Based on phase recombination and vector decomposition.

Image encryption is crucial for protecting image privacy and ensuring security. Encrypting large batches of images of different types and sizes simultaneously with losslessly decryption is often necessary. This paper proposes an optical asymmetric multi-image encryption algorithm to meet these demands.

ArNAC148 induces Acer rubrum leaf senescence by activating the transcription of the ABA receptor gene ArPYR13.

Acer rubrum, an ornamental tree known for its stunning autumn colors, has an elusive molecular mechanism that governs its leaf senescence. We performed the genome-wide analysis of NAC transcription factor genes and PYRABACTIN RESISTANCE1-LIKE (PYLs) and found that ArNAC148 and ArPYL13 were significantly upregulated in senescing leaves as compared to mature leaves. Subcellular localization studies confirmed the nuclear localization of ArNAC148 and the cytoplasmic localization of ArPYL13.

Correction: Exploring the properties of ZrCO/GaS van der Waals heterostructures for optoelectronic applications.

Correction for 'Exploring the properties of ZrCO/GaS van der Waals heterostructures for optoelectronic applications' by Altaf Ur Rahman , , 2024, https://doi.org/10.1039/D4CP02370F.

Three-Dimensional Reconstruction and Visualization of Underwater Bridge Piers Using Sonar Imaging.

The quality of underwater bridge piers significantly impacts bridge safety and long-term usability. To address limitations in conventional inspection methods, this paper presents a sonar-based technique for the three-dimensional (3D) reconstruction and visualization of underwater bridge piers. Advanced MS1000 scanning sonar is employed to detect and image bridge piers.

Exploring the properties of ZrCO/GaS van der Waals heterostructures for optoelectronic applications.

We investigate the structural, electronic, and optical properties of eight possible ZrCO/GaS van der Waals (vdW) heterostructures using first-principles calculations based on a hybrid functional. These structures display favorable stability, indicated by matching crystal structures and negative formation energies. In all considered configurations, these heterostructures act as indirect band gap semiconductors with a type-II band alignment, allowing efficient electron-hole separation.

Effects of Particle Size on Mechanical Properties and Forming Accuracy of Powder/Polyethersulfone Composites Produced via Selective Laser Sintering.

Wood-plastic composites are becoming increasingly recognized for their sustainability and their potential for use in various production processes. Nevertheless, enhancing their mechanical strength continues to be a difficult challenge. The objective of this research was to improve the mechanical strength of wood-plastic composite components manufactured through selective laser sintering (SLS).

An Overview of Acridine Analogs: Pharmacological Significance and Recent Developments.

The clinical effectiveness of the available anticancer drugs has been reduced due to the development of drug resistance and serious adverse effects, which have restricted chemotherapy for cancer. Therefore, there is a persistent need for new anticancer medications with reduced side effects. Medical researchers are pursuing various methods to find new, potent, specifically targeted molecules for cancer treatment.

Bibliometric Mapping of Psychological Flexibility Research: Trends and Future Directions.

In this article, we offer an exhaustive analysis of academic work on psychological flexibility using bibliometric techniques. We identify emerging trends in a dataset of 3535 scholarly articles from the Web of Science database. We highlight key publications, map out the field's intellectual framework, and anticipate future research avenues through co-citation and co-word analytics.

The impact of housing prices and land financing on economic growth: Evidence from Chinese 277 cities at the prefecture level and above.

With the rapid progress of urbanization in China, the real estate industry, characterized by a long industrial chain, has become a pillar industry for economic development. Therefore, we inspect the nexus between land finance, housing prices, and economic growth. For this purpose, we use the panel data of 277 cities at the prefecture level or above in China from 2011 to 2019, and empirically examine it by using the Panel Vector Auto Regression (PVAR) model.

Genome‑wide analysis of the MYB gene family in pumpkin.

The gene family exerts significant influence over various biological processes and stress responses in plants. Despite this, a comprehensive analysis of this gene family in pumpkin remains absent. In this study, the genes of were identified and clustered into 33 groups (C1-33), with members of each group being highly conserved in terms of their motif composition.

Time-Frequency Aliased Signal Identification Based on Multimodal Feature Fusion.

The identification of multi-source signals with time-frequency aliasing is a complex problem in wideband signal reception. The traditional method of first separation and identification especially fails due to the significant separation error under underdetermined conditions when the degree of time-frequency aliasing is high. The single-mode recognition method does not need to be separated first.

Fabrication of Quercetin-Functionalized Morpholine and Pyridine Motifs-Laden Silk Fibroin Nanofibers for Effective Wound Healing in Preclinical Study.

Choosing suitable wound dressings is crucial for effective wound healing. Spun scaffolds with bioactive molecule functionalization are gaining attention as a promising approach to expedite tissue repair and regeneration. Here, we present the synthesis of novel multifunctional quercetin with morpholine and pyridine functional motifs (QFM) embedded in silk fibroin (SF)-spun fibers (SF-QFM) for preclinical skin repair therapies.

Design of Eu-Doped Fluoride Phosphor with Zero Thermal Quenching Property Based on Density Functional Theory.

Although being applied in various fields, white light emitting diodes (WLEDs) still have drawbacks that urgently need to be conquered: the luminescent intensity of commercial phosphors sharply decreases at working temperature. In this study, we calculated the forming energy of defects and confirmed that the defect state can stably exist in β-NaGdF, by density functional theory (DFT) calculation. Furthermore, we predicted that the vacancies would provide a zero thermal quenching (ZTQ) property for the β-NaGdF-based red-light phosphor.

Vertical Distribution Mapping for Methane Fugitive Emissions Using Laser Path-Integral Sensing in Non-Cooperative Open Paths.

Observing the vertical diffusion distribution of methane fugitive emissions from oil/gas facilities is significant for predicting the pollutant's spatiotemporal transport and quantifying the random emission sources. A method is proposed for methane's vertical distribution mapping by combining the laser path-integral sensing in non-non-cooperative open paths and the computer-assisted tomography (CAT) techniques. It uses a vertical-plume-mapping optical path configuration and adapts the developed dynamic relaxation and simultaneous algebraic reconstruction technique (DR-SART) into methane-emission-distribution reconstruction.

Transforming higher education institutions through EDI leadership: A bibliometric exploration.

This comprehensive bibliometric study analyzes 1820 journal articles from the Web of Science database to explore Equity, Diversity, and Inclusion (EDI) leadership in higher education institutions (HEIs). Utilizing co-citation and co-word analysis, the study identifies distinct thematic clusters. The co-citation analysis reveals five key themes: Race, Diversity, and Inclusion (RDI), Diversity, Leadership, and Self-Efficacy (DLSE), Gender Dynamics and Leadership Challenges, Women's Representation in Academic Medicine Leadership, and Transformational Leadership in HEIs.

Magnetic-Field-Assisted Scratching Process of Single-Crystal Copper.

Energy-field-assisted cutting exhibits excellent ability to reduce cutting force and improve machining quality. In this study, a magnetic field was applied in an innovative way to aid in the cutting process, and magnetic-field-assisted scratching experiments of single-crystal copper were carried out. It was found that magnetic-field-assisted scratching increased the actual scratching force due to the additional Lorentz force in the cutting process.

Electrically Doped PNPN Tunnel Field-Effect Transistor Using Dual-Material Polarity Gate with Improved DC and Analog/RF Performance.

A new structure for PNPN tunnel field-effect transistors (TFETs) has been designed and simulated in this work. The proposed structure incorporates the polarity bias concept and the gate work function engineering to improve the DC and analog/RF figures of merit. The proposed device consists of a control gate (CG) and a polarity gate (PG), where the PG uses a dual-material gate (DMG) structure and is biased at -0.

Identification and characterization of the karrikins signaling gene in .

is a member of the family of genes and is known as a target protein of , which mediates karrikin signaling in . plays a significant role in seed germination, hypocotyl elongation, and root hair development in . SMAX1 has not yet been identified and characterized in woody plants.