Retrosynthetic analysis via deep learning to improve pilomatricoma diagnoses.

Background: Pilomatricoma, a benign childhood skin tumor, presents diagnostic challenges due to its manifestation variations and requires surgical excision upon histological confirmation of its characteristic cellular features. Recent artificial intelligence (AI) advancements in pathology promise enhanced diagnostic accuracy and treatment approaches for this neoplasm.

Methods: We employed a multiscale transfer learning model, initiating the training process at high resolutions and adapting to broader scales.

Enantioselective formal (3 + 3) cycloaddition of bicyclobutanes with nitrones enabled by asymmetric Lewis acid catalysis.

The absence of catalytic asymmetric methods for synthesizing chiral (hetero)bicyclo[n.1.1]alkanes has hindered their application in new drug discovery.

Does overconfident CEO lead to corporate environmental misconducts? Evidence from China.

Enterprises are drawing growing criticism for violating environmental rules. The research examines whether and how top executives' mental bias leads to corporate environmental misconduct (CEI). Drawing on upper echelon theory (UET) and agency theory, we link CEO overconfidence with CEI, and explore the boundary conditions from the perspective of management discretion at the governance level.

Zinc-Catalyzed Enantioselective Formal (3+2) Cycloadditions of Bicyclobutanes with Imines: Catalytic Asymmetric Synthesis of Azabicyclo[2.1.1]hexanes.

The cycloaddition reaction involving bicyclo[1.1.0]butanes (BCBs) offers a versatile and efficient synthetic platform for producing C(sp)-rich rigid bridged ring scaffolds, which act as phenyl bioisosteres.

MFF-DTA: Multi-scale feature fusion for drug-target affinity prediction.

Accurately predicting drug-target affinity is crucial in expediting the discovery and development of new drugs, which is a complex and risky process. Identifying these interactions not only aids in screening potential compounds but also guides further optimization. To address this, we propose a multi-perspective feature fusion model, MFF-DTA, which integrates chemical structure, biological sequence, and other data to comprehensively capture drug-target affinity features.

Ecological glue for traditional furniture: Optimization of the handicraft for making fish glue.

Through a comprehensive review of published literature on fish glue (FG), the ecological glue for traditional furniture, the traditional handicraft for making FG was found to include six main processes: soaking, steaming, manual smashing, decoction, filtration, and airing. The handicraft that makes FG is manual and is not only time-consuming and laborious but does not have clearly documented standard processes and is thus less repeatable. Considering this, experiments to optimize a new technique for making FG were designed.

Impacts of ultraviolet absorption by zinc oxide nanoparticle modifiers on asphalt aging.

Ultraviolet absorption ability of modifiers is essential to protect asphalt from ageing. However, the detailed correlation between them remains unclear. In this study, zinc oxide nanoparticles were used as modifiers, and their ultraviolet absorption ability was manipulated by magnesium and aluminum doping.

Radiomic and deep learning analysis of dermoscopic images for skin lesion pattern decoding.

This study aims to explore the efficacy of a hybrid deep learning and radiomics approach, supplemented with patient metadata, in the noninvasive dermoscopic imaging-based diagnosis of skin lesions. We analyzed dermoscopic images from the International Skin Imaging Collaboration (ISIC) dataset, spanning 2016-2020, encompassing a variety of skin lesions. Our approach integrates deep learning with a comprehensive radiomics analysis, utilizing a vast array of quantitative image features to precisely quantify skin lesion patterns.

DNA Hydrogels for Cancer Diagnosis and Therapy.

Nucleic acids, because of their precise pairing and simple composition, have emerged as excellent materials for the formation of gels. The application of DNA hydrogels in the diagnosis and therapy of cancer has expanded significantly through research on the properties and functions of nucleic acids. Functional nucleic acids (FNAs) such as aptamers, Small interfering RNA (siRNA), and DNAzymes have been incorporated into DNA hydrogels to enhance their diagnostic and therapeutic capabilities.

A novel approach for automatic classification of macular degeneration OCT images.

Age-related macular degeneration (AMD) and diabetic macular edema (DME) are significant causes of blindness worldwide. The prevalence of these diseases is steadily increasing due to population aging. Therefore, early diagnosis and prevention are crucial for effective treatment.

Musical timbre style transfer with diffusion model.

In this work, we focus on solving the problem of timbre transfer in audio samples. The goal is to transfer the source audio's timbre from one instrument to another while retaining as much of the other musical elements as possible, including loudness, pitch, and melody. While image-to-image style transfer has been used for timbre and style transfer in music recording, the current state of the findings is unsatisfactory.

Spatial non-equilibrium and distribution dynamic evolution of the development level of national physical fitness in China's provinces.

Introduction: Physical health is fundamental to a country's socio-economic advancement. An in-depth exploration of the spatial distribution and dynamic evolution of national physical fitness across China is crucial for enhancing the country's overall physical health. This study aims to provide valuable insights into the geographical and temporal patterns of physical fitness, informing strategies for national physical fitness improvement.

Bridging the Intention-Behavior Gap in Organic Food Consumption: Empirical Evidence from China.

The transition to a low-carbon economy emphasizes the importance of green and low-carbon consumption; yet, there is often a discrepancy between consumers' intentions and their actual behavior regarding organic foods. This study aims to identify strategies to bridge this gap. The research model of organic food consumption intention and behavior is constructed, and a structural equation model is used to test the research hypotheses based on a valid sample of 480 residents of Guangdong Province through an online questionnaire survey.

Regulation of Keap1-Nrf2 signaling in health and diseases.

Nuclear factor erythroid 2-related factor 2 (Nrf2) functions as a central regulator in modulating the activities of diverse antioxidant enzymes, maintaining cellular redox balance, and responding to oxidative stress (OS). Kelch-like ECH-associated protein 1 (Keap1) serves as a principal negative modulator in controlling the expression of detoxification and antioxidant genes. It is widely accepted that OS plays a pivotal role in the pathogenesis of various diseases.

A qualitative study on Chinese primary school EFL teachers' beliefs about incorporating intercultural competence into foreign language teaching.

Intercultural competence has become one of the important goals of foreign language education. The potential and value of foreign language education on students' intercultural competence (IC) has been widely recognized by academia. Currently, most of the research on intercultural foreign language teachers in China focuses on university teachers, with little attention paid to primary school EFL teachers.

A Review of Deep Learning-Based LiDAR and Camera Extrinsic Calibration.

Extrinsic parameter calibration is the foundation and prerequisite for LiDAR and camera data fusion of the autonomous system. This technology is widely used in fields such as autonomous driving, mobile robots, intelligent surveillance, and visual measurement. The learning-based method is one of the targetless calibrating methods in LiDAR and camera calibration.

Site occupancy and tunable luminescence of Eu and Eu coactivated KCaY (PO):Eu phosphors.

Utilizing the structure characteristic of KCaY (PO) crystal, the site distribution of Eu in KCaY (PO):Eu phosphor coactivated with Eu and Eu ions is tuned. Upon 393-nm excitation, the as-prepared phosphor exhibits a broadband emission of Eu peaked at ~ 475 nm and a typical red emission of Eu with a strong D-F emission at ~ 591 nm. The luminescence color of the phosphor can be adjusted from blue to green, white, yellow, and red.

Terahertz VO-Based Dynamic Coding Metasurface for Dual-Polarized, Dual-Band, and Wide-Angle RCS Reduction.

With the rapid development of terahertz radar technology, the electromagnetic device for terahertz radar cross-section (RCS) reduction is worth investigating. However, the existing research concentrates on the RCS reduction metasurface with fixed performance working in the microwave band. This paper proposes a terahertz dynamic coding metasurface integrated with vanadium dioxide (VO) for dual-polarized, dual-band, and wide-angle RCS reduction.

Drug repurposing based on the DTD-GNN graph neural network: revealing the relationships among drugs, targets and diseases.

Motivation: The rational modelling of the relationship among drugs, targets and diseases is crucial for drug retargeting. While significant progress has been made in studying binary relationships, further research is needed to deepen our understanding of ternary relationships. The application of graph neural networks in drug retargeting is increasing, but further research is needed to determine the appropriate modelling method for ternary relationships and how to capture their complex multi-feature structure.

Lysosomal control of the cGAS-STING signaling.

The cyclic GMP-AMP (cGAMP) synthase (cGAS)-stimulator of interferon genes (STING) pathway has a crucial role in combating pathogen infection. However, its aberrant activation is involved in several human disorders. Lysosomes are emerging as key negative regulators of cGAS-STING signaling.

The impacts of learning motivation, emotional engagement and psychological capital on academic performance in a blended learning university course.

Introduction: This study aims to explore the relationships among psychological capital, learning motivation, emotional engagement, and academic performance for college students in a blended learning environment.

Method: The research consists of two studies: Study 1 primarily focuses on validating, developing, revising, and analyzing the psychometric properties of the scale using factor analysis, while Study 2 employs structural equation modeling (SEM) to test the hypotheses of relationships of included variables and draw conclusions based on 745 data collected in a university in China.

Results: Findings revealed that intrinsic motivation, extrinsic motivation, emotional engagement, and psychological capital all impact academic performance.

Smart diabetic foot ulcer scoring system.

Current assessment methods for diabetic foot ulcers (DFUs) lack objectivity and consistency, posing a significant risk to diabetes patients, including the potential for amputations, highlighting the urgent need for improved diagnostic tools and care standards in the field. To address this issue, the objective of this study was to develop and evaluate the Smart Diabetic Foot Ulcer Scoring System, ScoreDFUNet, which incorporates artificial intelligence (AI) and image analysis techniques, aiming to enhance the precision and consistency of diabetic foot ulcer assessment. ScoreDFUNet demonstrates precise categorization of DFU images into "ulcer," "infection," "normal," and "gangrene" areas, achieving a noteworthy accuracy rate of 95.

Multiomics analysis for ferroptosisrelated genes as prognostic factors in cutaneous melanoma.

Objectives: Melanoma is highly malignant and heterogeneous. It is essential to develop a specific prognostic model for improving the patients' survival and treatment strategies. Recent studies have shown that ferroptosis results from the overproduction of lipid peroxidation and is an iron-dependent form of programmed cell death.

Impact of Empathic Concern on Prosocial Behavior in Gain and Loss Contexts: Evidence from Event-Related Potential.

This study employs event-related potential (ERP) to examine the impact of empathic concern on prosocial decision-making with costs in both gain and loss contexts. In this experiment, participants can choose between two types of lottery tickets and pay lottery money to help the target person gain more money or lose less money. The behavioral results showed that regardless of the context of the decision (financial loss or gain), participants tended to help individuals who had induced high empathic concern.