An Optimized Method for Batch Recovery Based on Erasure Coding in Heterogeneous Network.

With the rapid development of IoT technology, sensors are widely used for monitoring environmental parameters. The data collected by sensors needs to be stored, and distributed storage systems provide an excellent platform to handle this vast amount of data. To enhance data reliability and reduce storage costs, erasure coding technology can be employed within distributed storage systems.

A Comparative Review: Biological Safety and Sustainability of Metal Nanomaterials Without and with Machine Learning Assistance.

In recent years, metal nanomaterials and nanoproducts have been developed intensively, and they are now widely applied across various sectors, including energy, aerospace, agriculture, industry, and biomedicine. However, nanomaterials have been identified as potentially toxic, with the toxicity of metal nanoparticles posing significant risks to both human health and the environment. Therefore, the toxicological risk assessment of metal nanomaterials is essential to identify and mitigate potential adverse effects.

A Cu(I)-Based MOF with Nonlinear Optical Properties and a Favorable Optical Limit Threshold.

The exploitation of high-performance third-order nonlinear optical (NLO) materials that have a favorable optical limit (OL) threshold is essential due to a rise in the application of ultra-intense lasers. In this study, a Cu-based MOF (denoted as Cu-bpy) was synthesized, and its third-order NLO and OL properties were investigated using the Z-scan technique with the nanosecond laser pulse excitation set at 532 nm. The Cu-bpy exhibits a typical rate of reverse saturable absorption (RSA) with a third-order nonlinear absorption coefficient of 100 cm GW and a favorable OL threshold of 0.

Image Encryption Method Based on Three-Dimensional Chaotic Systems and V-Shaped Scrambling.

With the increasing importance of securing images during network transmission, this paper introduces a novel image encryption algorithm that integrates a 3D chaotic system with V-shaped scrambling techniques. The proposed method begins by constructing a unique 3D chaotic system to generate chaotic sequences for encryption. These sequences determine a random starting point for V-shaped scrambling, which facilitates the transformation of image pixels into quaternary numbers.

Measuring the Risk Spillover Effect of RCEP Stock Markets: Evidence from the TVP-VAR Model and Transfer Entropy.

This paper selects daily stock market trading data of RCEP member countries from 3 December 2007 to 9 December 2024 and employs the Time-Varying Parameter Vector Autoregression (TVP-VAR) model and transfer entropy to measure the time-varying volatility spillover effects among the stock markets of the sampled countries. The results indicate that the signing of the RCEP has strengthened the interconnectedness of member countries' stock markets, with an overall upward trend in volatility spillover effects, which become even more pronounced during periods of financial turbulence. Within the structure of RCEP member stock markets, China is identified as a net risk receiver, while countries like Japan and South Korea act as net risk spillover contributors.

Ultrasound-assisted immersion freezing improves the digestion properties of beef myofibrillar protein.

This study focused on the effect of ultrasound-assisted immersion freezing (UIF) with different ultrasound power (200, 400, 600 W) on the physicochemical and digestive properties of beef myofibrillar proteins (BMP). The results showed that the solubility and thermal stability of BMP were significantly increased, when treated with 400 W ultrasound, and the α-helix, β-sheets, β-turns, and random-coil fractions structures content were higher and the fluorescence intensity was closest to that of the control group, demonstrating enhanced structural stability of BMP. The protein digestibility of the UIF-400 W group was significantly enhanced while the particle size of the digested product was reduced, which proved its enhanced digestion characteristics.

Association of systemic inflammatory markers with white matter hyperintensities and microstructural injury: an analysis of UK Biobank data.

Background: White matter damage is closely associated with cognitive and psychiatric symptoms and is prevalent in cerebral small vessel disease (CSVD); although the pathophysiological mechanisms involved in CSVD remain elusive, inflammation plays a crucial role. We sought to investigate the relationship between systemic inflammation markers and imaging markers of CVSD, namely white matter hyperintensity (WMH) and microstructural injury.

Methods: We conducted a study involving both cross-sectional and longitudinal data from the UK Biobank Cohort.

Comparing circular and flexibly-shaped scan statistics for disease clustering detection.

The accuracy of spatial clustering detection is crucial for public health policy development and identifying etiological clues. Circular and flexibly-shaped scan statistics are widely used for disease cluster detection, but differences in results arise mainly due to parameter sensitivity and variations in the scanning window shapes. This study aims to analyze the impact of parameter settings on the results of these methods and compare their performance in disease clustering detection.

Insights into the formation of pullulan nanofilm and its feasibility as probiotic-resided oral fast dissolving carrier.

Oral fast dissolving films represent a novel dosage form for probiotics. To reduce the dependence of film preparation on synthetic materials, a polysaccharide-based oral fast dissolving nanofilm for probiotics was fabricated through pullulan (PUL) electrospinning. An electrospinnability map of PUL with varying physical properties was developed, identifying a molecular weight of 200 kDa and a concentration of 20 % as suitable conditions for achieving favorable fiber morphology.

Reinforced Collaborative-Competitive Representation for Biomedical Image Recognition.

Artificial intelligence technology has demonstrated remarkable diagnostic efficacy in modern biomedical image analysis. However, the practical application of artificial intelligence is significantly limited by the presence of similar pathologies among different diseases and the diversity of pathologies within the same disease. To address this issue, this paper proposes a reinforced collaborative-competitive representation classification (RCCRC) method.

KalmanFormer: using transformer to model the Kalman Gain in Kalman Filters.

Introduction: Tracking the hidden states of dynamic systems is a fundamental task in signal processing. Recursive Kalman Filters (KF) are widely regarded as an efficient solution for linear and Gaussian systems, offering low computational complexity. However, real-world applications often involve non-linear dynamics, making it challenging for traditional Kalman Filters to achieve accurate state estimation.

High- organic-inorganic hybrid dielectric material for flexible thin-film transistors and printed logic circuits.

A new photopolymerizable organic-inorganic (O-I) hybrid sol-gel material, AUP@SiO-184, has been synthesized and utilized as a gate dielectric in flexible organic thin-film transistors (OTFTs). The previously reported three-arm alkoxy-functionalized silane amphiphilic polymer has yielded stable O-I hybrid materials comprising uniformly dispersed nanoparticles in the sol state. In this study, a photosensitizer was introduced, facilitating curing effects under ultraviolet light.

CuTCP: Custom Text Generation-based Class-aware Prompt Tuning for visual-language models.

Visual-language models (VLMs) excel in cross-modal reasoning by synthesizing visual and linguistic features. Recent VLMs use prompt learning for fine-tuning, allowing adaptation to various downstream tasks. TCP applies class-aware prompt tuning to improve VLMs generalization, yet its reliance on fixed text templates as prior knowledge can limit adaptability to fine-grained category distinctions.

A Structural Model of Truncated Gaussia princeps Luciferase Elucidating the Crucial Catalytic Function of No.76 Arginine towards Coelenterazine Oxidation.

Gaussia Luciferase (GLuc) is a renowned reporter protein that can catalyze the oxidation of coelenterazine (CTZ) and emit a bright light signal. GLuc comprises two consecutive repeats that form the enzyme body and a central putative catalytic cavity. However, deleting the C-terminal repeat only limited reduces the activity (over 30% residual luminescence intensity detectable), despite being a key part of the cavity.

Effects of microbial fermentation on the anti-inflammatory activity of Chinese yam polysaccharides.

In this study, Chinese yam polysaccharides (CYPs) were fermented using M616, and changes in the chemical composition, structure, and anti-inflammatory activity of CYPs before and after fermentation were investigated. The carbohydrate content of M616-fermented CYP (CYP-LP) increased from 71.03% ± 2.

Impact of ibuprofen on nitrogen removal performance and its biotransformation in a coupled sulfur autotrophic denitrification and anammox system.

Ibuprofen (IBU), a commonly used non-steroidal anti-inflammatory drug, is frequently detected in wastewater treatment systems, where it can interfere with nitrogen removal. This study investigated the effects of IBU on nitrogen removal performance and its biotransformation in a coupled sulfur autotrophic denitrification and anammox (SAD/A) system. Moreover, key parameters, such as nitrogen removal efficiency, microbial activity, community structure, and IBU degradation products, were carefully monitored.

Structure Characterization and Antioxidant Properties of a Triple Helix Galactoglucomannan from the Fruiting Bodies of Russula virescens (Agaricomycetes).

RVP, a water-soluble triple-helix galactoglucomannan, was successfully extracted from the fruiting body of Russula virescens using an alkali extraction method. Physicochemical properties analysis showed that the protein content of RVP was low (0.95%).

Effect of Yam Flour Modified with Plasma-Activated Water Combined with Extrusion Treatment on the Quality of Chinese Noodles.

Yam noodles were produced by replacing high-gluten wheat flour with yam flour modified with plasma-activated water and twin-screw extrusion (PAW-TSE). The effects of varying amounts of modified yam flour on the color, cooking characteristics, texture, and in vitro digestibility of the noodles were investigated. As the amount of modified yam flour increased, the noodles became darker in color, while the bound water content increased, and the free water content decreased.

Effect of atmospheric cold plasma pretreatment on the formation of ternary complexes among wheat starch, β-lactoglobulin and fatty acids with different chain lengths.

This study aims to examine the effect of atmospheric cold plasma (ACP) pretreatment (1-4 min) on the formation, structure, and digestibility of ternary complexes among wheat starch (WS), β-lactoglobulin (βLG) and fatty acids with different chain lengths (octanoic acid (OA), capric acid (CA), lauric acid (LA)). The complexing index results demonstrated that the greatest quantity (72.53 %, 70.

2D Chiral Ag(I) Complexes with A-π-- and D-π--Type Dicarboxylic Acid Ligands: Presenting Significant Differences in Nonlinear Optical Responses.

Three two-dimensional (2D) chiral Ag(I) complexes with formulas [Ag(L)(5-nipa)] (), [Ag(L)(5-nipa)] (), and {[Ag(L)(5-hipa)]·2HO} () were prepared through the reactions of AgO with enantiopure -monodentate N-donors (L/L) and different dicarboxylic acids bearing A (acceptor)-π-- and D (donor)-π--type structural features, where / = (-)/(+)-2-(4'-pyridyl)-4,5-pinene-pyridine, 5-Hnipa = 5-nitroisophthalic acid, and 5-Hhipa = 5-hydroxyisophthalic acid. A study of their nonlinear optical responses reveals that chiral and enantiomeric pairs with the A-π--type dicarboxylic acid ligand simultaneously display second- and third-harmonic generation (SHG and THG) responses, while chiral containing the D-π--type dicarboxylic acid ligand only exhibits a very strong THG response. The THG intensity of is 451 × α-SiO, being about 27 and 24 times larger than those of and , respectively.

Visible light-driven multichannel concerted antibacterial films with Photodynamically enhanced self-cascading Chemodynamic actions for long-term preservation of perishable food.

This work pioneered an innovative visible light-powered, self-cascading peroxide antimicrobial packaging system (RPFe-CS), featuring a photodynamic enhancement effect achieved through the demand-oriented design of riboflavin sodium phosphate and Fe coordination complexes (RPFe) fillers with photodynamic and peroxidase activities, and the ingenious selection of slightly acidic chitosan (CS) film matrix. In this system, the photo-responsive properties of RPFe particles not only generate the •O, •OH, and O required for photodynamic sterilization, but also the produced HO serves as a necessary substrate for peroxidase to exert its bactericidal effect, endowing the packaging system with a "self-production and self-marketing" cascade process. The RPFe-CS film achieved efficient eradication to bacteria and fungi reaching up to 99.

Effect of (-)-epigallocatechin gallate palmitate complexation under mild temperature on the structure and nutritional functions of porous rice starch.

The correlation among the hierarchical structure, physicochemical properties, and nutritional functions of porous rice starch after absorbing and complexing with (-)-epigallocatechin gallate palmitate (P-EGCG) under mild temperatures at different reaction times were investigated. The P-EGCG loading rate (19.6 %-28.

NtLPA1 overexpression regulates the growth of tobacco and enhances resistance to blight.

The involvement of Loose Plant Architecture 1 (LPA1) in regulating plant growth and leaf angle has been previously demonstrated. However, the fundamental genetic background remains unidentified. To further understand the tissue expression profile of the NtLPA1 gene, an overexpression vector (pBI121-NtLPA1) was developed and employed to modify tobacco using the leaf disc method genetically.

A Mechanism of Reducing Methane Production During Sewage Sludge Composting by Adding Urea.

The study of the effect of the mechanism of urea addition to sewage sludge and sawdust-composting substrates on methane production is still limited. In the present study, the systematic investigation of the effect of urea addition (0.18, 0.