Improved equivalent optical turbulence method for anisotropic compressible and atmospheric turbulence under different beam transmission distances.

The impact of different turbulence on beams can be seen as optical distortions caused by refractive index fluctuations around vortices in turbulence. Therefore, from the perspective of transmission effects, the transmission outcomes of beam in different turbulences can be mutually equivalent. Since the mechanisms of beam propagation in compressible turbulence are not yet fully understood and the relevant theories are not well-established, a preliminary analysis of beam transmission in compressible turbulence is necessary.

Efficient anomaly detection in tabular cybersecurity data using large language models.

In cybersecurity, anomaly detection in tabular data is essential for ensuring information security. While traditional machine learning and deep learning methods have shown some success, they continue to face significant challenges in terms of generalization. To address these limitations, this paper presents an innovative method for tabular data anomaly detection based on large language models, called "Tabular Anomaly Detection via Guided Prompts" (TAD-GP).

Interconnections between BDH1-plasma protein-type 2 diabetes Mellitus: a mediated mendelian randomization analysis using plasma proteomics.

With the rapid advancement of proteomics, numerous scholars have investigated the intricate relationships between plasma proteins and various diseases. Therefore, this study aims to elucidate the relationship between BDH1 and type 2 diabetes using Mendelian randomization (MR) and to identify novel targets for the prevention and treatment of type 2 diabetes through proteomics. This study primarily employed the Mendelian Randomization (MR) method, leveraging genetic data from numerous large-scale, publicly accessible genome-wide association studies (GWAS).

Inhibition of transcriptional regulation of detoxification genes contributes to insecticide resistance management in Spodoptera exigua.

Synthetic insecticides have been widely used for the prevention and control of disease vectors and agricultural pests. However, frequent uses of insecticides have resulted in the development of insecticide resistance in these insect pests. The resistance adversely affects the efficacy of insecticides, and seriously reduces the lifespan of insecticides.

Age-related p53 SUMOylation accelerates senescence and tau pathology in Alzheimer's disease.

Aging is a major risk factor for Alzheimer's disease (AD). With the prevalence of AD increased, a mechanistic linkage between aging and the pathogenesis of AD needs to be further addressed. Here, we report that a small ubiquitin-related modifier (SUMO) modification of p53 is implicated in the process which remarkably increased in AD patient's brain.

Crosstalk between GLTSCR1-deficient endothelial cells and tumour cells promotes colorectal cancer development by activating the Notch pathway.

Cancer stem cells (CSCs) typically reside in perivascular niches, but whether endothelial cells of blood vessels influence the stemness of cancer cells remains poorly understood. This study revealed that endothelial cell-specific GLTSCR1 deletion promotes colorectal cancer (CRC) tumorigenesis and metastasis by increasing cancer cell stemness. Mechanistically, knocking down GLTSCR1 induces the transformation of endothelial cells into tip cells by regulating the expression of Neuropilin-1 (NRP1), thereby increasing the direct contact and interaction between endothelial cells and tumour cells.

The lean body mass to visceral fat mass ratio is negatively associated with cardiometabolic disorders: a cross-sectional study.

The literature has documented conflicting and inconsistent associations between muscle-to-fat ratios and metabolic diseases. Additionally, different adipose tissues can have contrasting effects, with visceral adipose tissue being identified as particularly harmful. This study aimed to explore the relationship between the ratio of the lean mass index (LMI) to the visceral fat mass index (VFMI) and cardiometabolic disorders, including dyslipidemia, hypertension, and diabetes, as previous research on this topic is lacking.

Distributed communication interference resource scheduling using the master-slave parallel scheduling genetic algorithm.

With the increasing intelligence and diversification of communication interference in recent years, communication interference resource scheduling has received more attention. However, the existing interference scenario models have been developed mostly for remote high-power interference with a fixed number of jamming devices without considering power constraints. In addition, there have been fewer scenario models for short-range distributed communication interference with a variable number of jamming devices and power constraints.

Preserved ratio impaired spirometry, airflow obstruction, and their trajectories in relationship to chronic kidney disease: a prospective cohort study.

Spirometry findings, such as restrictive spirometry and airflow obstruction, are associated with renal outcomes. Effects of spirometry findings such as preserved ratio impaired spirometry (PRISm) and its trajectories on renal outcomes are unclear. This study aimed to investigate the impact of baseline and trajectories of spirometry findings on future chronic kidney disease (CKD) events.

Study on spatial correlation and driving factors of industrial carbon emission in the Hefei metropolitan area based on SNA-QAP method.

In this paper, the Hefei metropolitan area is selected as the research object to measure industrial carbon emissions in this area during 2010-2022. The main contribution is to deeply analyze the characteristics of the spatial correlation network of industrial carbon emissions in the Hefei metropolitan area with the modified gravity model and social network analysis(SNA), and to explore the driving factors of its formation with quadratic assignment procedure(QAP). It establishes the foundation for the Hefei metropolitan area to differentiated green city development policies.

Tilting deformation analysis and instability prediction of arch-locked-segment landslides induced by rainfall.

The failure of locked-segment landslides is associated with the destruction of locked segments that exhibit an energy accumulation effect. Thus, understanding their failure mode and instability mechanism for landslide hazard prevention and control is critical. In this paper, multiple instruments, such as tilt sensors, pore water pressure gauges, moisture sensors, matrix suction sensors, resistance strain gauges, miniature earth pressure sensors, a three-dimensional (3D) laser scanner, and a camera, were used to conduct the physical model tests on the rainfall-induced arch locked-segment landslide to analyze the resulting tilting deformation and evolution mechanism.

Binocular stereo vision-based relative positioning algorithm for drone swarm.

To address the challenges of high computational complexity and poor real-time performance in binocular vision-based Unmanned Aerial Vehicle (UAV) formation flight, this paper introduces a UAV localization algorithm based on a lightweight object detection model. Firstly, we optimized the YOLOv5s model using lightweight design principles, resulting in Yolo-SGN. This model achieves a 65.

Long-term burden of body mass index since childhood and impaired physical performance in midlife.

Background: The impact of long-term burden of body mass index (BMI) since childhood on physical performance in midlife remains unclear. We aimed to investigate the association between cumulative exposure to BMI since childhood and midlife physical performance by using data from the Bogalusa Heart Study (BHS).

Methods: This longitudinal study consisted of 749 participants (aged 37.

Cross-sectional study of proteomic differences between moderate and severe psoriasis.

Although an ongoing understanding of psoriasis vulgaris (PV) pathogenesis, little is known about the proteomic differences between moderate and severe psoriasis. In this cross-sectional study, we evaluated the proteomic differences between moderate and severe psoriasis using data-independent acquisition mass spectrometry (DIA-MS). 173 differentially expressed proteins (DEPs) were significantly differentially expressed between the two groups.

High-Precision prediction of curling trajectory multivariate time series using the novel CasLSTM approach.

As a multivariate time series, the prediction of curling trajectories is crucial for athletes to devise game strategies. However, the wide prediction range and complex data correlations present significant challenges to this task. This paper puts forward an innovative deep learning approach, CasLSTM, by introducing integrated inter-layer memory, and establishes an encoder-predictor curling trajectory forecasting model accordingly.

International myeloma working group immunotherapy committee recommendation on sequencing immunotherapy for treatment of multiple myeloma.

T-cell redirecting therapy (TCRT), specifically chimeric antigen receptor T-cell therapy (CAR T-cells) and bispecific T-cell engagers (TCEs) represent a remarkable advance in the treatment of multiple myeloma (MM). There are several products available around the world and several more in development targeting primarily B-cell maturation antigen (BCMA) and G protein-coupled receptor class C group 5 member D (GRPC5D). The relatively rapid availability of multiple immunotherapies brings the necessity to understand how a certain agent may affect the safety and efficacy of a subsequent immunotherapy so MM physicians and patients can aim at optimal sequential use of these therapies.

Aspect category sentiment analysis based on pre-trained BiLSTM and syntax-aware graph attention network.

Aspect Category Sentiment Analysis (ACSA) is a fine-grained sentiment analysis task aimed at predicting the sentiment polarity associated with aspect categories within a sentence.Most existing ACSA methods are based on a given aspect category to locate sentiment words related to it. When irrelevant sentiment words have semantic meaning for the given aspect category, it may cause the problem that sentiment words cannot be matched with aspect categories.

Plasma membrane-associated ARAF condensates fuel RAS-related cancer drug resistance.

RAF protein kinases are major RAS effectors that function by phosphorylating MEK. Although all three RAF isoforms share a conserved RAS binding domain and bind to GTP-loaded RAS, only ARAF uniquely enhances RAS activity. Here we uncovered the molecular basis of ARAF in regulating RAS activation.

State switch control of magnetically suspended flywheel energy storage system in uninterrupted power supply system.

The magnetically suspended flywheel energy storage system (MS-FESS) is an energy storage equipment that accomplishes the bidirectional transfer between electric energy and kinetic energy, and it is widely used as the power conversion unit in the uninterrupted power supply (UPS) system. First, the structure of the FESS-UPS system is introduced, and the working principles at different working states are described. Furthermore, the control strategy of the FESS-UPS is developed, and the switch oscillation of the FESS-UPS system between the charging and discharging states is analyzed.

Research on the impact of the digital economy on carbon emissions based on the dual perspectives of carbon emission reduction and carbon efficiency.

China's digital economy is currently thriving, with the "dual carbon" targets representing a significant pursuit of economic development. The role of the digital economy in achieving these targets warrants detailed discussion. Using urban panel data from China spanning 2011 to 2021, this paper empirically examines the impact of the digital economy on urban carbon emissions.

Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application.

The problem of ground-level ozone (O) pollution has become a global environmental challenge with far-reaching impacts on public health and ecosystems. Effective control of ozone pollution still faces complex challenges from factors such as complex precursor interactions, variable meteorological conditions and atmospheric chemical processes. To address this problem, a convolutional neural network (CNN) model combining the improved particle swarm optimization (IPSO) algorithm and SHAP analysis, called SHAP-IPSO-CNN, is developed in this study, aiming to reveal the key factors affecting ground-level ozone pollution and their interaction mechanisms.

Tunable optical nonreciprocity in double-cavity optomechanical system with nonreciprocal coupling.

We propose a double-cavity optomechanical system with nonreciprocal coupling to realize tunable optical nonreciprocity that has the prospect of making an optical device for the manipulation of information processing and communication. Here we investigate the steady-state dynamic processes of the double-cavity system and the transmission of optical waves from opposite cavity directions. The transmission spectrum of the probe field is presented in detail and the physical mechanism of the induced transparency window is analyzed.

Simulation analysis of radiometer effect and outgassing based on molecular particle source perturbation.

The Laser Interferometer Space Antenna (LISA) mission is designed to detect space gravitational wave sources in the millihertz band. A critical factor in the success of this mission is the residual acceleration noise metric of the internal test mass (TM) within the ultra-precise inertial sensors. Existing studies indicate that the coupling effects of residual gas and temperature gradient fluctuations significantly influence this metric, primarily manifesting as the radiometer effect and the outgassing effect.

The PI4K2A gene positively regulates lipid synthesis in bovine mammary epithelial cells and attenuates the inhibitory effect of t10,c12-CLA on lipid synthesis.

Currently, the identification of valuable candidate genes affecting milk fat synthesis in dairy cows is still limited, and the specific regulatory mechanism is still unknown. In this study, we used primary bovine mammary epithelial cells(BMECs)as a model and utilized overexpression and knockdown techniques for the PI4K2A gene to investigate the specific mechanisms by which it regulates lipid metabolism in BMECs. We studied whether PI4K2A regulates the inhibition of trans-10, cis-12 conjugated linoleic acid (t10,c12-CLA) on lipid synthesis in BMECs.