A Novel Model for Predicting Microsatellite Instability in Endometrial Cancer: Integrating Deep Learning-Pathomics and MRI-Based Radiomics.

Rationale And Objectives: To develop and validate a novel model based on multiparametric MRI (mpMRI) and whole slide images (WSIs) for predicting microsatellite instability (MSI) status in endometrial cancer (EC) patients.

Materials And Methods: A total of 136 surgically confirmed EC patients were included in this retrospective study. Patients were randomly divided into a training set (96 patients) and a validation set (40 patients) in a 7:3 ratio.

High Spatial Resolution Perovskite Fast Neutron Imaging Screen by Cl (n, p) Nuclear Reaction.

Fast neutron imaging has emerged as a highly adaptable non-destructive inspection tool in industrial applications and scientific research. This technique predominantly employs hydrogen-rich scintillation screens based on the principle of nuclear recoil; however, it suffers from limited spatial resolution due to significant energy diffusion of recoil protons. Herein, a 1D perovskite, CsCuClI is demonstrated, for fast neutron imaging based on Cl (n,p) nuclear reaction.

Dynamic Path Planning for Unmanned Autonomous Vehicles Based on CAS-UNet and Graph Neural Networks.

This paper proposes a deeply integrated model called CAS-GNN, aiming to solve the collaborative path-planning problem for multi-agent vehicles operating in dynamic environments. Our proposed model integrates CAS-UNet and Graph Neural Network (GNN), and, by introducing a dynamic edge enhancement module and a dynamic edge weight update module, it improves the accuracy of obstacle boundary recognition in complex scenarios and adaptively changes the influence of different edges during the information transmission process. We generate data through online trajectory optimization to enhance the model's adaptability to dynamic environments.

Metal Single-Atom Materials: Unlocking the Future of Sustainable Energy and Environment in Automobiles.

Automobiles are constantly evolving with advancements in green energy and environmental technologies, e.g., sustainable energy devices, green synthesis, carbon utilization, catalytic exhaust conversion, etc.

AI assistance in enterprise UX design workflows: enhancing design brief creation for designers.

The study explores the impact of AI tools on the daily tasks of designers in corporate environments, with a focus on the creation and evaluation processes of design briefs. Given ChatGPT's advanced natural language processing capabilities and its potential to meet the complex communication and analysis needs of design work, this tool was selected to investigate its application in designers' workflows. Through expert interviews, experimental testing, and third-party expert evaluations, we collected and analyzed data to understand the impact of AI on work processes.

Triggering Asymmetric Layer Displacement Polarization and Redox Dual-Sites Activation by Inside-Out Anion Substitution for Efficient CO Photoreduction.

Sluggish bulk charge transfer and barren catalytic sites severely hinder the CO photoreduction process. Seeking strategies for accelerating charge dynamics and activating reduction and oxidation sites synchronously presents a huge challenge. Herein, an inside-out chlorine (Cl) ions substitution strategy on the layered polar BiOBr is proposed for achieving layer structure-dependent polarization effect and redox dual-sites activation.

Oriented Crystal Polarization Tuning Bulk Charge and Single-Site Chemical State for Exceptional Hydrogen Photo-Production.

Rapid bulk charge recombination and mediocre surface catalytic sites harshly restrict the photocatalytic activities. Herein, the aforementioned concerns are well addressed by coupling macroscopic spontaneous polarization and atomic-site engineering of CdS single-crystal nanorods for superb H photo-production. The oriented growth of CdS nanorods along the polar axis, vectorially superimposing substantial polar units with orderly arrangement, renders a strong polarization electric field (20.

Oocytes maintain low ROS levels to support the dormancy of primordial follicles.

Primordial follicles (PFs) function as the long-term reserve for female reproduction, remaining dormant in the ovaries and becoming progressively depleted with age. Oxidative stress plays an important role in promoting female reproductive senescence during aging, but the underlying mechanisms remain unclear. Here, we find that low levels of reactive oxygen species (ROS) are essential for sustaining PF dormancy.

Neighborhood structure-guided brain functional networks estimation for mild cognitive impairment identification.

The adoption and growth of functional magnetic resonance imaging (fMRI) technology, especially through the use of Pearson's correlation (PC) for constructing brain functional networks (BFN), has significantly advanced brain disease diagnostics by uncovering the brain's operational mechanisms and offering biomarkers for early detection. However, the PC always tends to make for a dense BFN, which violates the biological prior. Therefore, in practice, researchers use hard-threshold to remove weak connection edges or introduce -norm as a regularization term to obtain sparse BFNs.

Hydrogen Bonds and In situ Photoinduced Metallic Bi/Ni Accelerating Z-Scheme Charge Transfer of BiOBr@NiFe-LDH for Highly Efficient Photocatalysis.

For heterojunction system, the lack of stable interfacial driving force and definite charge transfer channel makes the charge separation and transfer efficiency unsatisfactory. The photoreaction mechanism occurring at the interface also receives less attention. Herein, a 2D/2D Z-scheme junction BiOBr@NiFe-LDH with large-area contact featured by short interface hydrogen bonds and strong interfacial electric field (IEF) is synthesized, and in situ photoinduced metallic species assisting charge transfer mechanism is demonstrated.

P62 promotes FSH-induced antral follicle formation by directing degradation of ubiquitinated WT1.

In females, the pathophysiological mechanism of poor ovarian response (POR) is not fully understood. Considering the expression level of p62 was significantly reduced in the granulosa cells (GCs) of POR patients, this study focused on identifying the role of the selective autophagy receptor p62 in conducting the effect of follicle-stimulating hormone (FSH) on antral follicles (AFs) formation in female mice. The results showed that p62 in GCs was FSH responsive and that its level increased to a peak and then decreased time-dependently either in ovaries or in GCs after gonadotropin induction in vivo.

LSD1 promotes the FSH responsive follicle formation by regulating autophagy and repressing Wt1 in the granulosa cells.

In a growing follicle, the survival and maturation of the oocyte largely depend on support from somatic cells to facilitate FSH-induced mutual signaling and chemical communication. Although apoptosis and autophagy in somatic cells are involved in the process of FSH-induced follicular development, the underlying mechanisms require substantial study. According to our study, along with FSH-induced antral follicles (AFs) formation, both lysine-specific demethylase 1 (LSD1) protein levels and autophagy increased simultaneously in granulosa cells (GCs) in a time-dependent manner, we therefore evaluated the importance of LSD1 upon facilitating the formation of AFs correlated to autophagy in GCs.

Surface Engineered Single-atom Systems for Energy Conversion.

Single-atom catalysts (SACs) are demonstrated to show exceptional reactivity and selectivity in catalytic reactions by effectively utilizing metal species, making them a favorable choice among the different active materials for energy conversion. However, SACs are still in the early stages of energy conversion, and problems like agglomeration and low energy conversion efficiency are hampering their practical applications. Substantial research focus on support modifications, which are vital for SAC reactivity and stability due to the intimate relationship between metal atoms and support.

One-dimensional single atom arrays on ferroelectric nanosheets for enhanced CO photoreduction.

Single-atom catalysts show excellent catalytic performance because of their coordination environments and electronic configurations. However, controllable regulation of single-atom permutations still faces challenges. Herein, we demonstrate that a polarization electric field regulates single atom permutations and forms periodic one-dimensional Au single-atom arrays on ferroelectric BiTiO nanosheets.

[Genome-wide identification of the gene family in the silkworm () and their expression analysis in diapause eggs and nondiapause eggs].

The aldo-keto reductase super family (AKRs) has a wide range of substrate specificity. However, the systematic identification of insect gene family members has not been reported. In this study, bioinformatics methods were used to predict the phylogenetic evolution, physical and chemical properties, chromosome location, conserved motifs, and gene structure of family members in ().

Advancing Breast Cancer Heterogeneity Analysis: Insights from Genomics, Transcriptomics and Proteomics at Bulk and Single-Cell Levels.

Breast cancer continues to pose a significant healthcare challenge worldwide for its inherent molecular heterogeneity. This review offers an in-depth assessment of the molecular profiling undertaken to understand this heterogeneity, focusing on multi-omics strategies applied both in traditional bulk and single-cell levels. Genomic investigations have profoundly informed our comprehension of breast cancer, enabling its categorization into six intrinsic molecular subtypes.

A Method for Achieving Nanoscale Visual Positioning Measurement Based on Ultra-Precision Machining Microstructures.

Microscopic visual measurement is one of the main methods used for precision measurements. The observation morphology and image registration algorithm used in the measurement directly affect the accuracy and speed of the measurement. This paper analyzes the influence of morphology on different image registration algorithms through the imaging process of surface morphology and finds that complex morphology has more features, which can improve the accuracy of image registration.

X-Intersected Silicon Modulator of Well-Rounded Performance.

In silicon modulator design, implantation is always a key factor, significantly influencing the doping profile and carrier distribution. As waveguide doping is limited by the compact footprint of the modulator rib, three-dimensional complex optimization is a viable option to improve performance. This work proposes an X-intersected modulator based on two inversely slanted junctions using the effective 3D Monte Carlo method for junction generation.

Efficient piezo-photocatalysis of 0D/2D α-FeO/BiWO: Synergy of weak force-driven piezoelectric polarization and Z-scheme junction.

Photocatalysis shows huge potential in environmental purification, but suffers from fast photocharge recombination and finite photoabsorption. Piezoelectric polarization is perceived as a promising approach to drive charge separation, but it always relies on the energy-guzzling ultrasonic vibration. Herein, a piezo-photocatalytic system integrating dual electric fields constructed by weak force-driven piezoelectric polarization and Z-scheme junction is developed in 0D/2D α-FeO/BiWO.

Multiplex Protein Profiling by Low-Signal-Loss Single-Cell Western Blotting with Fluorescent-Quenching Aptamers.

Single-cell western blotting (scWB) is a prevalent technique for high-resolution protein analysis on low-abundance cell samples. However, the extensive signal loss during repeated antibody stripping precludes multiplex protein detection. Herein, we introduce luorescent-quenching ptamer-based ingle-cell estern lotting (FAS-WB) for multiplex protein detection at single-cell resolution.

Pregranulosa cell-derived FGF23 protects oocytes from premature apoptosis during primordial follicle formation by inhibiting p38 MAPK in mice.

A large number of oocytes in the perinatal ovary in rodents get lost for unknown reasons. The granulosa cell-oocyte mutual communication is pivotal for directing formation of the primordial follicle; however, little is known if paracrine factors participate in modulating programmed oocyte death perinatally. We report here that pregranulosa cell-derived fibroblast growth factor 23 (FGF23) functioned in preventing oocyte apoptosis in the perinatal mouse ovary.