Dynamic niche technology based hybrid breeding optimization algorithm for multimodal feature selection.

As a primary approach to address feature selection problems, evolutionary algorithms have been widely proposed to deal with the problem. Most of these methods are designed to find a single feature subset. However, the optimal feature subset within a dataset is often not unique, indicating that feature selection exhibits multimodal characteristics.

MLDA-Net: Multi-Level Deep Aggregation Network for 3D Nuclei Instance Segmentation.

Segmentation of cell nuclei from three-dimensional (3D) volumetric fluorescence microscopy images is crucial for biological and clinical analyses. In recent years, convolutional neural networks have become the reliable 3D medical image segmentation standard. However, convolutional layers are limited by their finite receptive fields and weight-sharing mechanisms.

Causal Discovery and Reasoning for Continuous Variables with an Improved Bayesian Network Constructed by Locality Sensitive Hashing and Kernel Density Estimation.

The structure learning of a Bayesian network (BN) is a crucial process that aims to unravel the complex dependencies relationships among variables using a given dataset. This paper proposes a new BN structure learning method for data with continuous attribute values. As a non-parametric distribution-free method, kernel density estimation (KDE) is applied in the conditional independence (CI) test.

Cloud Resource Scheduling Using Multi-Strategy Fused Honey Badger Algorithm.

Cloud resource scheduling is one of the most significant tasks in the field of big data, which is a combinatorial optimization problem in essence. Scheduling strategies based on meta-heuristic algorithms (MAs) are often chosen to deal with this topic. However, MAs are prone to falling into local optima leading to decreasing quality of the allocation scheme.

Radiative Cooling Nanohybrids with Room-Temperature Switching.

Recent advancements in radiative cooling technologies have highlighted their potential as sustainable and environmentally friendly cooling solutions. However, while this method offers significant energy savings during hot seasons, it may incur energy losses (overcooling leads to a waste of cooling energy) in colder conditions. The current solution has the problems of a complex process or easy leakage of materials.

Therapeutic effect of titanium locking plate combined with suture anchor repair in proximal humeral fractures.

Objective: To explore the therapeutic effect of titanium locking plate combined with suture anchor (SA) repair in the treatment of proximal humeral fractures (PHF).

Methods: This retrospective study was conducted by analyzing the clinical data of 113 patients with PHF admitted to Wuhan Fourth Hospital from March 2021 to October 2023. Among them, 55 patients underwent open reduction and internal fixation (OR/IF) using titanium locking plate (OR/IF group), and 58 patients underwent surgery with titanium locking plate combined with SA (SA group).

YTHDF2-mediated mA modification of ONECUT2 promotes stemness and oxaliplatin resistance in gastric cancer through transcriptionally activating TFPI.

Aims: Chemoresistance results in poor outcomes of patients with gastric cancer (GC). This study aims to identify oxaliplatin resistance-related cell subpopulations in the tumor microenvironment (TME) and decipher the involved molecular mechanisms.

Methods: Through single-cell RNA sequencing, a unique ONECUT2TFPI GC cell subset was identified in the oxaliplatin-resistant TME.

Optimization of Fermentation Conditions in Ergothioneine Biosynthesis from Ganoderma resinaceum (Agaricomycetes) and an Evaluation of Their Inhibitory Activity on Xanthine Oxidase.

Ganoderma resinaceum is a traditional mushroom that contains natural products, including ergothioneine (EGT), which has powerful antioxidant properties in the human body. To increase EGT yield from G. resinaceum, the optimal carbon and nitrogen sources in the culture medium were determined as 20 g/L sucrose and 4 g/L NH4Cl, respectively.

MDAPT: Multi-Modal Depth Adversarial Prompt Tuning to Enhance the Adversarial Robustness of Visual Language Models.

Large visual language models like Contrastive Language-Image Pre-training (CLIP), despite their excellent performance, are highly vulnerable to the influence of adversarial examples. This work investigates the accuracy and robustness of visual language models (VLMs) from a novel multi-modal perspective. We propose a multi-modal fine-tuning method called Multi-modal Depth Adversarial Prompt Tuning (MDAPT), which guides the generation of visual prompts through text prompts to improve the accuracy and performance of visual language models.

Microbial Communities in and Around the Siboglinid Tubeworms from the South Yungan East Ridge Cold Seep Offshore Southwestern Taiwan at the Northern South China Sea.

To date, only a few microbial community studies of cold seeps at the South China Sea (SCS) have been reported. The cold seep dominated by tubeworms was discovered at South Yungan East Ridge (SYER) offshore southwestern Taiwan by miniROV. The tubeworms were identified and proposed as sp.

The fermentation of Cordyceps militaris polysaccharide influenced gut bacterial LPS structure formation and changed its antigenicity.

Gut bacterial lipopolysaccharide (LPS) could be released into the circulatory system via the gut-liver axis and cause inflammatory immune response, while Cordyceps militaris polysaccharide (CMP40) has been reported to be effective in alleviating this inflammatory response. In this study, the effects of CMP40 gut fermentation on internal LPS structure formation and the subsequent immune response were explored. Results showed that CMP40 could change antigenicity of LPS of Vibrio parahaemolyticus, Salmonella enterica, and enterotoxigenic Escherichia coli, indicated by a reduced level of NO, IL-1β, IL-6, and TNF-α.

Hybrid rice optimization algorithm inspired grey wolf optimizer for high-dimensional feature selection.

Feature selection (FS) is a significant dimensionality reduction technique, which can effectively remove redundant features. Metaheuristic algorithms have been widely employed in FS, and have obtained satisfactory performance, among them, grey wolf optimizer (GWO) has received widespread attention. However, the GWO and its variants suffer from limited adaptability, poor diversity, and low accuracy when faced with high-dimensional data.

Underwater image enhancement based on optimally weighted histogram framework and improved Fick's law algorithm.

The quality of underwater images is often affected by light scattering and attenuation, resulting in a loss of contrast and brightness. To address this issue, this paper proposes an underwater image enhancement method: improved Fick's law algorithm-based optimally weighted histogram framework (IFLAHF). The method incorporates the bi-histogram equalization-based three plateau limits (BHE3PL) technique to enhance image contrast and details while maintaining brightness.

The effect of transition timing of regorafenib on treatment outcomes in unresectable hepatocellular carcinoma: a real-world study.

Background: Regorafenib is the recommended second-line therapy for unresectable hepatocellular carcinoma (uHCC). Our study aimed to assess the effect of transition timing to second-line therapy with regorafenib on treatment outcomes in uHCC patients.

Methods: In this retrospective study, patients were categorized into prompt transition group (PT group) or delayed transition group (DT group) based on the transition timing to second-line therapy with regorafenib following the first or subsequent occurrence of progressive disease during first-line treatment.

Orbital angular momentum superimposed mode recognition based on multi-label image classification.

Orbital angular momentum (OAM) multiplexing technology has great potential in high capacity optical communication. OAM superimposed mode can extend communication channels and thus enhance the capacity, and accurate recognition of multi-OAM superimposed mode at the receiver is very crucial. However, traditional methods are inefficient and complex for the recognition task.

Cooperative metaheuristic algorithm for global optimization and engineering problems inspired by heterosis theory.

Swarm Intelligence-based metaheuristic algorithms are widely applied to global optimization and engineering design problems. However, these algorithms often suffer from two main drawbacks: susceptibility to the local optima in large search space and slow convergence rate. To address these issues, this paper develops a novel cooperative metaheuristic algorithm (CMA), which is inspired by heterosis theory.

Structure and functionality of Pleurotus geesteranus protein isolate as a function of pH.

Edible mushroom proteins hold great potential for food applications, but those extracted using the alkaline extraction-acid precipitation method typically exhibit poor solubility in neutral water, with the structural changes during acid precipitation remaining unclear. In this study, Pleurotus geesteranus protein isolate (PGPI) with high water solubility was prepared with alkaline extraction, followed by dialysis and freeze-drying, and the effects of pH on the structural and functional properties of PGPI were systematically investigated. PGPI was enriched in essential and aromatic amino acids, and the molecular weight of bands in the sodium dodecyl sulfate-polyacrylamide gel electrophoresis profile was mainly distributed below 45 kDa.

Determination of Lubrication Layer Thickness and Its Effect on Concrete Pumping Pressure.

The flow of six kinds of fresh concrete under different flow rates and lubrication layer thickness (T) values in the horizontal pipe was numerically simulated. The influence of the T on the pressure per unit length (P) was analyzed. It was determined that the formation of the lubrication layer (LL) significantly reduces the P in concrete pumping.

Thioredoxin reductase inhibition and glutathione depletion mediated by glaucocalyxin A promote intracellular disulfide stress in gastric cancer cells.

Thioredoxin reductase 1 (TXNRD1) has been identified as one of the promising chemotherapeutic targets in cancer cells. Therefore, a novel TXNRD1 inhibitor could accelerate chemotherapy in clinical anticancer research. In this study, glaucocalyxin A (GlauA), a natural diterpene extracted from Rabdosia japonica var.

A novel intelligent fault diagnosis method for gearbox based on multi-dimensional attention denoising convolution.

In the field of intelligent fault diagnosis, particularly concerning rotating machinery, convolutional neural networks (CNNs) face significant challenges when applied to real industrial vibration data. These data are not only contaminated by various types of noise but also exhibit fault features that vary across different scales. Consequently, the effective suppression of extraneous noise and accurate extraction of multi-scale fault features are crucial issues.

Effects of different microplastic types on soil physicochemical properties, enzyme activities, and bacterial communities.

Global concern continues to mount regarding the accumulation of microplastics (MPs) in soil. However, little is known about how various types of MPs influence the properties of soil ecosystems. Here, we evaluated the effects of six different types of MPs, including low-density polyethylene (LDPE), polyamide (PA), polystyrene (PS), polyhydroxy-alkanoates (PHA), polybutadiene styrene (PBS), and polylactide (PLA), on soil physicochemical properties, enzyme activities, and microbial communities.

Characterization of lycopene β-cyclase from Dunaliella bardawil for enhanced β-carotene production and salt tolerance.

Dunaliella can accumulate more β-carotene (10 % or even more of the dry weight of cells) than any other species. Lycopene β-cyclase (LcyB) is the key enzyme in the catalysis of lycopene to β-carotene. In the present research, we used Escherichia coli BL21 (DE3) as host to construct two different types of engineering bacteria, one expressing the D.