Dimensionless comparison of solar radiation time series data to address seasonality.

The intermittency of solar power presents significant challenges for grid and energy systems, primarily owing to the unstable and chaotic characteristics of solar radiation time series caused by the combination of seasonality and stochasticity. Currently, there is a lack of simple and easily interpretable methods for describing or transforming solar radiation time series that can directly benefit various solar energy applications. In this study, a deseasonalization method for solar radiation time series based on a transformation matrix is introduced.

Self-Generative Singlet Oxygen (O)-Initiated Chemical Modification of Nuclear DNAs Combats Tumor Drug Resistance.

Multidrug resistance (MDR) is one of the major problems in cancer treatment. Overcoming MDR to achieve effective cancer treatment remains a huge challenge. Here, we proposed a self-generative singlet oxygen (O)-initiated chemical modification of nuclear DNAs (SiCMoND) approach to kill multidrug-resistant tumor synergizing with chemotherapy.

The variable selection of two-part regression model for semicontinuous data.

In many research fields, measurement data containing too many zeros are often called semicontinuous data. For semicontinuous data, the most common method is the two-part model, which establishes the corresponding regression model for both the zero-valued part and the nonzero-valued part. Considering that each part of the two-part regression model often encounters a large number of candidate variables, the variable selection becomes an important problem in semicontinuous data analysis.

A precise spatiotemporal fusion crop classification framework based on parcels.

The precise extraction of crop type information on agricultural land supports applications such as agricultural information statistics and planning. It is also a crucial foundation for improving agricultural production efficiency and promoting agricultural informatization. In smallholder agricultural regions, such as the southern agricultural areas of China, a significant number of small parcels exist.

Application potential of submicron-sized bamboo cellulose as natural Pickering emulsion stabilizers: Structural properties and stabilization mechanisms.

Bamboo powder (BP) is rich in natural cellulose, potentially serving as Pickering stabilizer. In this study, high-performance bamboo cellulose (MBCs) was developed via alkaline hydrogen peroxide (AHP) pretreatment and wet ball milling at different milling times (0-12 h) to stabilize Pickering emulsions. Prolonged milling (12 h) reduced particle size from 5115 to 845 nm (MBC-12) and enhanced ζ-potential from -18.

Unraveling in-kernel starch multiscale structure and nutritional profiles of thermal remodeling whole grain black tartary buckwheat.

Thermal treatments can improve the processing suitability and nutritional utilization of cereals. In this study, the effects of three thermal treatments, namely heat fluidization, microwave, and baking, on the physical, nutritional, and structural properties of whole grain black Tartary buckwheat (BTB), as well as the multiscale structures and digestive characteristics of in-kernel starches, were evaluated. Thermal treatments induced grain expansion, surface cracking, and porous internal structures, with heat fluidization causing the most significant reduction (32.

Siphon-driven all-in-one fabric evaporators for multi-purpose treatment of hypersaline oily wastewater.

Hypersaline oily wastewater from industrial processes poses significant environmental challenges, but traditional treatment methods struggle with issues like oil contamination, membrane fouling, and incomplete oil/salt separation. In this work, we developed a siphon-driven all-in-one fabric evaporator (SAFE) that integrates siphon-driven separation with solar-driven evaporation to address these issues effectively. The photothermal fabrics are facilely fabricated by depositing polydopamine on polypropylene non-woven fabrics, imparting oil repellence, light-to-heat conversion, and hydrophilicity.

Superconducting Carbon-Cage Network with T of 109 K at Ambient Pressure.

A novel carbon-cage network was reported, denoted as C, found to be a low energy structure by first principles particle swarm structure search. The compound exhibits high temperature electron-phonon ambient pressure superconductivity with T = 79 K for elemental doping and can be raised to T = 109 K by appropriate hole doping. Analyses of the phonon spectra, molecular dynamics simulations, and enthalpy differences relative to analogous structures synthesized experimentally all suggest that the hole-doped high-T structure is a viable candidate for experimental synthesis.

Iron-silicon modified biochar for remediation of cadmium/arsenic co-contaminated paddy fields: Is it possible to kill two birds with one stone?

Biochar-based remediation can reduce Cd pollution through adsorption but may potentially increases As accumulation in rice grains by microbial reduction. Therefore, developing materials that simultaneously immobilize Cd and inhibit As translocation to plants is crucial for co-contamination management. Iron-silicon modified biochar (Fe/Si-BC) was synthesized and evaluated in pot experiments for remediation of Cd/As co-contamination.

Alleviating Effects of Ethanol Extract from Culture on Patulin Toxicity.

Exposure to patulin (PAT) poses a significant health risk to animals, emphasizing the need for natural, safe substances to mitigate toxicity. culture (ATC), a fungal fermentation-derived feed additive, is known for its antioxidant properties, yet its potential to alleviate mycotoxin-induced toxicity remains largely uninvestigated. In this study, the ethanol extracts from the ATC (EEAT) were prepared with a total phenolic content of 67.

Solutions to the Dilemma of Antibiotics Use in Livestock and Poultry Farming: Regulation Policy and Alternatives.

While the application of antibiotics in livestock production has undeniably propelled the rapid growth of animal husbandry, the escalating crisis of antimicrobial resistance stemming from antibiotic use poses significant threats to global public health and sustainable agricultural development. To address this critical challenge, multifaceted strategies have been implemented through coordinated policy interventions and scientific innovations. This review systematically examines two pivotal dimensions: (1) evolving regulatory frameworks governing antibiotic usage and (2) emerging non-antibiotic alternatives, with a particular focus on their implementation mechanisms and technological maturation.

Excellently stable Camellia oleifera oil Pickering emulsion fabricated based on high carboxyl content cellulose nanofibrils.

Nanocellulose-based Pickering emulsions offer a promising alternative to traditional emulsions in cosmetics due to their biocompatibility. However, the instability of unmodified nanocellulose-based Pickering emulsions remains an issue to be addressed. To solve this problem, cellulose nanofibrils with high carboxyl content (PT-CNFs) were prepared by a sodium periodate (NaIO) and TEMPO two-step oxidation and employed to fabricate stable PT-CNF-based Camellia oleifera oil Pickering emulsions by ultrasonic emulsification and high-pressure homogenization techniques.

Effect of non-stoichiometric Mn and Cr on the hydrogen storage properties of Ti-Mn-based alloys.

The effects of non-stoichiometric Mn and Cr on the hydrogen storage properties of Ti-Mn-based TiZrMn CrFe ( = 0, 0.1, 0.2) and TiZrMnCr Fe ( = 0, 0.

Neglected Biogeochemical Process for Ocean Health: Seagrass Detritus Simultaneously Enhances Phenolic Endocrine-Disrupting Chemical Capture and Organic Carbon Sequestration.

This study presents the first comprehensive investigation on an easily neglected biogeochemical process of phenolic endocrine-disrupting chemical (EDC) capture and carbon sequestration by seagrass detritus. The results showed that L. detritus captured nonylphenol (NP) and bisphenol A (BPA) with high efficiency (>90%) and enhanced organic carbon sequestration in marine ecosystems.

Air pollution and life expectancy: the role of education and health expenditure in China.

Health is directly linked to SDG 3, "Good Health and Well-being," which aims to ensure healthy lives and promote well-being for all ages. Achieving this goal involves improving health outcomes, including increasing life expectancy (LEX) and reducing mortality rates. Therefore, the current study aims to examine the impact of Air pollution's on LEX, and the role of education, and health expenditure in achieving the SDG 3 in China from 2000 to 2023.

Bifunctional collagen fibers-based porous material for integrated purification of oily seawater.

Desalination has long been a critical strategy to address the global shortage of freshwater resources. However, the purification of oily seawater introduces additional complex challenges. This study presents the development of an eco-friendly, collagen fibers-based porous material (CFsPM), fabricated by binding collagen fibers with hydroxypropyl methylcellulose as a sustainable adhesive.

Arg128*-Mediated Dual-Substrate Recognition and Dynamic Transport Mechanisms in (R)-ω-Transaminase: Computational Insights and Mutational Profiling Guided Rational Engineering.

ω-Transaminases (ω-TAs) are critical biocatalysts for the asymmetric synthesis of chiral amines, and uniquely accommodate both hydrophobic and hydrophilic substrates through a conserved binding pocket. In this study, we combine computational simulations and site-directed mutagenesis to dissect this dual-function structure of (R)-selective ω-transaminase from Aspergillus terreus (AtATA). Our results reveal that AtATA employs a synergistic mechanism: aromatic residues within the large pocket stabilize hydrophobic substrates via π-driven interactions, while Arg128* dynamically interacts with hydrophilic compounds through hydrogen bonding.

Impacts of environmentally persistent free radicals on the denitrification toxicity of photoaged tire wear particles in estuarine sediments.

The widespread detection of tire wear particles (TWPs) in estuaries has raised concerns about their potential environmental hazards. However, knowledge of photoaging-induced environmentally persistent free radicals (EPFRs) formation on TWPs in estuarine environments and their impact on sediment denitrification remains limited. This study investigated the formation of EPFRs on TWP during photoaging in estuarine environments and evaluated their effects on sediment denitrification and nitrous oxide (NO) accumulation.

Metabolic engineering combined with fermentation optimization enables sustainable production of erythritol by Yarrowia lipolytica from peanut meal and glucose.

Peanut meal (PM) is rich in proteins and fatty acids, which enables it to be a valuable substrate for microbial growth. This study aimed to investigate the effect of PM on the growth and erythritol production of Yarrowia lipolytica CA20 and to establish a procedure for low-cost erythritol production using PM. We found that PM could be used as the only medium component, except for glucose, to support cell growth and erythritol production during submerged fermentation.

[Effects of organic inputs on soil nutrients and microbial metabolism in newly reclaimed farmlands].

It remains unclear how soil microbial metabolism responds to organic input and the driving factors during soil carbon fixation and fertilization in newly reclaimed farmlands. We conducted a field experiment to explore the effects of different organic inputs on soil nutrients, organic carbon fractions, extracellular enzyme activities, microbial metabolism, and microbial carbon utilization efficiency in a newly reclaimed farmland with a rice-wheat rotation in Jiande of Zhejiang in 2022. Five treatments were implemented with equivalent C return in addition to conventional chemical fertilizers (NPK): 1) NPK alone (control), 2) NPK + manure + maize straw (MS), 3) NPK + manure (M), 4) NPK + straw biochar-based manure (MBF), and 5) NPK + straw biochar (MB).

Exercise-induced modulation of miRNAs and gut microbiome: a holistic approach to neuroprotection in Alzheimer's disease.

Alzheimer's disease (AD), a progressive neurodegenerative disorder, is marked by cognitive decline, neuroinflammation, and neuronal loss. MicroRNAs (miRNAs) have emerged as critical regulators of gene expression, influencing key pathways involved in neuroinflammation and neurodegeneration in AD. This review delves into the multifaceted role of exercise in modulating miRNA expression and its interplay with the gut microbiome, proposing a comprehensive framework for neuroprotection in AD.

Finite Element Simulation and Optimization of Process Parameters for Titanium Chip Crusher.

Titanium alloy has been widely used in aerospace, military, and national defense, and other high-tech fields due to its advantages of light weight, high specific strength, excellent corrosion resistance, excellent heat resistance, and good low-temperature performance. In the turning of titanium alloys, a significant quantity of continuous chips with poor breakability is generated. Recycling these titanium chips can effectively reduce raw material costs and minimize environmental impacts, as it decreases the dependency on primary titanium sources.

Improving High-Precision BDS-3 Satellite Orbit Prediction Using a Self-Attention-Enhanced Deep Learning Model.

Precise Global Navigation Satellite System (GNSS) orbit prediction is critical for real-time positioning applications. Current orbit prediction accuracy for the BeiDou Navigation Satellite System-3 (BDS-3) exhibits a notable disparity compared to GPS and Galileo, with limited advancements from traditional dynamic modeling approaches. This study introduces a novel data-driven methodology, Sample Convolution and Interaction Network with Self-Attention (SCINet-SA), to augment dynamic methods and improve BDS-3 ultra-rapid orbit prediction.

Path Planning in Narrow Road Scenarios Based on Four-Layer Network Cost Structure Map.

To address the issues of insufficient safety distance and unsmooth paths in AGV path planning for narrow road scenarios, this paper proposes a method that integrates Voronoi-skeleton-based custom layers with traditional cost maps. First, key nodes of the Voronoi skeleton are extracted to generate a custom layer, which is then combined with static, obstacle, and expansion layers to form a new four-layer network cost map. This approach accurately distinguishes obstacle influences and enhances algorithm robustness.