Dark triad traits and career adaptability: the mediating role of political skill.

Background: This study investigated the mechanism through which the Dark Triad traits (Machiavellianism, narcissism, psychopathy) relate to career adaptability. While previous research primarily focused on the role of bright traits in enhancing career adaptability, the potential benefits of dark traits on career adaptability have often been overlooked. By integrating career construction theory (CCT) and conservation of resources theory (COR), this study proposed that adaptive readiness, operationalized in terms of the Dark Triad traits, would be related to career adaptability through political skill, offering a novel perspective on how dark traits, like the Dark Triad, can be related to career adaptability.

X-UNet:A novel global context-aware collaborative fusion U-shaped network with progressive feature fusion of codec for medical image segmentation.

Due to the inductive bias of convolutions, CNNs perform hierarchical feature extraction efficiently in the field of medical image segmentation. However, the local correlation assumption of inductive bias limits the ability of convolutions to focus on global information, which has led to the performance of Transformer-based methods surpassing that of CNNs in some segmentation tasks in recent years. Although combining with Transformers can solve this problem, it also introduces computational complexity and considerable parameters.

The comparison of efficacy and safety between cadonilimab (PD-1/CTLA-4) and anti-PD-1 inhibitors in patients with recurrent or metastatic cervical cancer: a retrospective real-world study.

Introduction: Cadonilimab provides substantial clinical benefits in recurrent or metastatic cervical cancer (R/M CC) in several clinical trials and meeting abstracts. However, the efficacy of cadonilimab in patients with prior failure of anti- programmed death receptor-1 (PD-1) inhibitors, as well as a direct comparison of its efficacy and safety with anti-PD-1 inhibitors, has not been reported in real-world settings.

Methods: We conducted a retrospective study at our hospital, including two R/M CC patient cohorts.

The van der Waals antiferromagnetic proximity effect at the FePS/Pt uncompensated interface.

van der Waals antiferromagnetic insulators are emerging as promising candidates for spintronics and quantum computing due to their unique magnetic properties. However, detecting antiferromagnetism at the atomic scale remains challenging due to compensated spin order. In this study, we present a novel approach to observe the antiferromagnetic proximity effect in FePS/Pt heterostructures.

To establish and validate autophagy related biomarkers for the diagnosis of IgA nephropathy.

IgA nephropathy (IgAN) is one of the most common immune-related primary glomerular diseases. The pathological mechanism of this disease is complex, and the specific pathogenesis is still unclear. To obtain a comprehensive understanding of its molecular mechanism and to provide new perspectives regarding the detection and treatment of the disease, this study investigated the role of immune cells in IgAN, as well as the role of autophagy-related biomarkers in IgAN development.

Electrochromic platform for the visual detection of the neuroblastoma biomarkers vanillylmandelic acid and homovanillic acid.

Vanillylmandelic acid (VMA) and homovanillic acid (HVA) are biomarkers for the diagnosis and course-of-disease monitoring of malignant tumor neuroblastomas, which endanger infants and children. Herein, we demonstrated a proof-of-concept visual detection of VMA and HVA on an electrochromic basis, in which the viologen 1,1'-dibenzyl-4,4'-bipyridinium dichloride was used as a coloration chromophore. It was found that VMA and HVA can be used as effective electron mediators to improve the electrochromic performance of devices.

Association Between Educational Attainment and Chronic Pain: A Mediation Mendelian Randomization Study.

Background: The underlying association between educational attainment (EA) and chronic pain (CP) risk is not clear. This study aimed to investigate the causal relationship of EA with CP using Mendelian randomization (MR).

Methods: Single nucleotide polymorphisms (SNPs) for EA were selected from the Social Science Genetic Association Consortium (SSGAC).

Accurate and Rapid Prediction of Protein p: Protein Language Models Reveal the Sequence-p Relationship.

Protein p prediction is a key challenge in computational biology. In this study, we present pKALM, a novel deep learning-based method for high-throughput protein p prediction. pKALM uses a protein language model (PLM) to capture the complex sequence-structure relationships of proteins.

Does the deep learning-based iterative reconstruction affect the measuring accuracy of bone mineral density in low-dose chest CT?

Objectives: To investigate the impacts of a deep learning-based iterative reconstruction algorithm on image quality and measuring accuracy of bone mineral density (BMD) in low-dose chest CT.

Methods: Phantom and patient studies were separately conducted in this study. The same low-dose protocol was used for phantoms and patients.

Bioactive compounds from Chinese herbal plants for neurological health: mechanisms, pathways, and functional food applications.

Neurological disorders pose significant global public health challenges, with a rising prevalence and complex pathophysiological mechanisms that impose substantial social and economic burdens. Traditional Chinese Medicine (TCM), with its holistic approach and multi-target effects, has gained increasing attention in the treatment of neurological diseases. This review explores bioactive compounds derived from Chinese herbal plants, focusing on their mechanisms of action, underlying pathways, and potential applications in functional food development.

Image quality assessment of artificial intelligence iterative reconstruction for low dose unenhanced abdomen: comparison with hybrid iterative reconstruction.

Objectives: To assess the impact of artificial intelligence iterative reconstruction algorithms (AIIR) on image quality with phantom and clinical studies.

Methods: The phantom images were reconstructed with the hybrid iterative algorithm (HIR: Karl 3D-3, 5, 7, 9) and AIIR (grades 1-5) algorithm. Noise power spectra (NPS), task transfer functions (TTF) were measured, and additionally sharpness was assessed using a "blur metric" procedure.

PsiPartition: Improved Site Partitioning for Genomic Data by Parameterized Sorting Indices and Bayesian Optimization.

Phylogenetics has been widely used in molecular biology to infer the evolutionary relationships among species. With the rapid development of sequencing technology, genomic data with thousands of sites become increasingly common in phylogenetic analysis, while heterogeneity among sites arises as one of the major challenges. A single homogeneous model is not sufficient to describe the evolution of all sites and partitioned models are often employed to model the evolution of heterogeneous sites by partitioning them into distinct groups and utilizing distinct evolutionary models for each group.

Abnormal Temperature Dependence of Huang-Rhys Factor and Exciton Recombination Kinetics in CsPbBr Perovskite Quantum Dots.

Anomalous thermal behaviors of excitonic luminescence in CsPbBr perovskite quantum dots (PQDs) were observed. It is found that the main luminescence peak originated from the excitonic radiative recombination assisted by the longitudinal-optical (LO) phonon, and its integrated intensity first declines as the temperature varies from 10 to 150 K and then turns to increase at ∼160 K, reaching a maximum value at 300 K. A model considering the thermal detrapping and transfer of electrons from a trap level is developed to interpret these abnormal thermal behaviors of the luminescence from the PQDs.

Ultralow dose coronary calcium scoring CT at reduced tube voltage and current by using deep learning image reconstruction.

Objective: To explore the potential of the deep learning reconstruction (DLR) for ultralow dose calcium scoring CT (CSCT) with simultaneously reduced tube voltage and current.

Methods: In this prospective study, seventy-five patients (group A) undergoing routine dose CSCT (120kVp/30mAs) were followed by a low dose (120kVp/20mAs) scan and another 81 (group B) were followed by an ultralow dose (80kVp/20mAs) scan. The hybrid iterative reconstruction was used for the routine dose data while the DLR for data of reduced dose.

An extraction-free one-pot assay for rapid detection of Klebsiella pneumoniae by combining RPA and CRISPR/Cas12a.

Klebsiella pneumoniae poses a significant threat to global public health. Traditional clinical diagnostic methods, such as bacterial culture and microscopic identification, are not suitable for point-of-care testing. In response, based on the suboptimal protospacer adjacent motifs, this study develops an extraction-free one-pot assay, named EXORCA (EXtraction-free One-pot RPA-CRISPR/Cas12a assay), designed for the immediate, sensitive and efficient detection of K.

Entropy-Driven Catalytic G-Quadruple Cycle Amplification Integrated with Ligases for Label-Free Detection of Single Nucleotide Polymorphisms.

G-Quadruplex/thioflavin (G4/THT) has become a very promising label-free fluorescent luminescent element for nucleic acid detection due to its good programmability and compatibility. However, the weak fluorescence efficiency of single-molecule G4/THT limits its potential applications. Here, we developed an entropy-driven catalytic (EDC) G4 (EDC-G4) cycle amplification technology as a universal label-free signal amplification and output system by properly programming classical EDC and G4 backbone sequences, preintegrated ligase chain reaction (LCR) for label-free sensitive detection of single nucleotide polymorphisms (SNPs).

G-quadruplex embedded in semi-CHA reaction combined with invasive reaction for label-free detection of single nucleotide polymorphisms.

G-quadruplex/thioflavin T (G4/THT) is one of the ideal label-free fluorescent light-emitting elements in the field of biosensors due to its good programmability and adaptability. However, the unsatisfactory luminous efficiency of single-molecule G4/THT limits its more practical applications. Here, we developed a G4 embedded semi-catalytic hairpin assembly (G4-SCHA) reaction by rationally modifying the traditional CHA reaction, and combined with the invasive reaction, supplemented by magnetic separation technology, for label-free sensitive detection of single nucleotide polymorphisms (SNPs).

FCSU-Net: A novel full-scale Cross-dimension Self-attention U-Net with collaborative fusion of multi-scale feature for medical image segmentation.

Recently, ViT and CNNs based on encoder-decoder architecture have become the dominant model in the field of medical image segmentation. However, there are some deficiencies for each of them: (1) It is difficult for CNNs to capture the interaction between two locations with consideration of the longer distance. (2) ViT cannot acquire the interaction of local context information and carries high computational complexity.

Developing Cathode Films for Practical All-Solid-State Lithium-Sulfur Batteries.

The development of all-solid-state lithium-sulfur batteries (ASSLSBs) toward large-scale electrochemical energy storage is driven by the higher specific energies and lower cost in comparison with the state-of-the-art Li-ion batteries. Yet, insufficient mechanistic understanding and quantitative parameters of the key components in sulfur-based cathode hinders the advancement of the ASSLSB technologies. This review offers a comprehensive analysis of electrode parameters, including specific capacity, voltage, S mass loading and S content toward establishing the specific energy (Wh kg) and energy density (Wh L) of the ASSLSBs.

Correlation between clinical characteristics and epicardial adipose tissue features in acute myocarditis patients using coronary computed tomography (CT) vascular imaging: a case-control study with retrospective data collection.

Background: Epicardial adipose tissue (EAT) is unique type of visceral adipose tissue, sharing the same microcirculation with myocardium. This study aimed to assess the imaging features of EAT in patients with acute myocarditis (AM) and explore the relationships with clinical characteristics.

Methods: For this retrospective case-control study, totally 38 AM patients and 52 controls were screened retrospectively from January 2019 to December 2022, and the EAT volume was measured from coronary computed tomography (CT) angiography imaging.

Hairpin-Empowered Invasive Reaction Combined with Catalytic Hairpin Assembly Cascade Amplification for the Specific Detection of Single-Nucleotide Polymorphisms.

Single-nucleotide polymorphism (SNP) is widely used in the study of disease-related genes and in the genetic study of animal and plant strains. Therefore, SNP detection is crucial for biomedical diagnosis and treatment as well as for molecular design breeding of animals and plants. In this regard, this article describes a novel technique for detecting SNP using flap endonuclease 1 (FEN 1) as a specific recognition element and catalytic hairpin assembly (CHA) cascade reaction as a signal amplification strategy.

Double base mismatches mediated catalytic hairpin assembly for enzyme-free single-base mutation detection: integrating signal recognition and amplification in one.

Single nucleotide polymorphism (SNP) biosensors are emerging rapidly for their promising applications in human disease prevention diagnosis, treatment, and prognosis. However, it remains a bottleneck in equipping simple and stable biosensors with the traits of high sensitivity, non-enzyme, and low cost. Double base mismatches mediated chain displacement reactions have attracted fascinating advantages of tailorable thermodynamics stability, non-enzyme, and excellent assembly compliance to involvement in SNP identification.