UV-B induced flavonoid accumulation and related gene expression in blue- grained wheat at different periods of time.

Introduction: UV-B can be used as an additional technique for nutrient accumulation in blue-grained wheat, which has special nutritional properties due to its blue starch layer. The concentration of flavonoids in blue-grained wheat under UV-B irradiation is extremely important for further investigation and exploitation of the nutritional properties of blue-grained wheat.

Methods: This investigation focuses on the expression of flavonoids and associated genes in blue-grained wheat using transcriptomic and metabolomic analyzes.

Comparative transcriptomes and WGCNA reveal hub genes for spike germination in different quinoa lines.

Background: Quinoa, as a new food crop, has attracted extensive attention at home and abroad. However, the natural disaster of spike germination seriously threatens the quality and yield of quinoa. Currently, there are limited reports on the molecular mechanisms associated with spike germination in quinoa.

Molecular characteristics and expression pattern of the FAR1 gene during spike sprouting in quinoa.

FAR-RED IMPAIRED RESPONSE 1 (FAR1) is a class of transposase-derived transcription factors that play a very important role in the initiation of the photosensitive pigment A (phyA) signaling pathway. Despite their importance, the understanding of the function of FAR1 genes in quinoa is still limited, especially regarding how they affect the spike sprouting response. Quinoa has gained global attention in recent years for its health benefits and potential for sustainable agriculture.

Based on electronic nose and multi-omics, investigate the dynamic changes of volatile and non-volatile organic compounds in waxy wheat Baijiu from different years.

Chinese baijiu is highly regarded for its unique flavor, and a variety of crops can be utilized as raw materials in its production. Waxy crops are essential ingredients in the brewing of high-quality baijiu; however, there is currently no comprehensive identification of volatile organic compounds (VOCs) and non-volatile compounds (N-VOCs) in waxy wheat baijiu (WWB). This study aims to investigate the dynamic changes of VOCs and N-VOCs in WWB during several important time periods from new to aged.

Identification and core gene-mining of Weighted Gene Co-expression Network Analysis-based co-expression modules related to flood resistance in quinoa seedlings.

Background: As an emerging food crop with high nutritional value, quinoa has been favored by consumers in recent years; however, flooding, as an abiotic stress, seriously affects its growth and development. Currently, reports on the molecular mechanisms related to quinoa waterlogging stress responses are lacking; accordingly, the core genes related to these processes were explored via Weighted Gene Co-expression Network Analysis (WGCNA).

Results: Based on the transcriptome data, WGCNA was used to construct a co-expression network of weighted genes associated with flooding resistance-associated physiological traits and metabolites.

Identifying Core Genes Related to Low-Temperature Stress Resistance in Quinoa Seedlings Based on WGCNA.

Quinoa is a nutritious crop that is tolerant to extreme environmental conditions; however, low-temperature stress can affect quinoa growth, development, and quality. Considering the lack of molecular research on quinoa seedlings under low-temperature stress, we utilized a Weighted Gene Co-Expression Network Analysis to construct weighted gene co-expression networks associated with physiological indices and metabolites related to low-temperature stress resistance based on transcriptomic data. We screened 11 co-expression modules closely related to low-temperature stress resistance and selected 12 core genes from the two modules that showed the highest associations with the target traits.

Enhanced activity of ZnS (111) by N/Cu co-doping: Accelerated degradation of organic pollutants under visible light.

High-efficiency photocatalysts are of great significance for the application of photocatalytic technology in water treatment. In this study, N/Cu co-doped ZnS nanosphere photocatalyst (N/Cu-ZnS) is synthesized by a hydrothermal method for the first time. After doping, the texture of nanosphere becomes loose, the nanometer diameter is reduced, making the specific surface area of catalyst increased from 34.

Defect-rich MoS/NiS nanosheets loaded on SiNWs for efficient and stable photoelectrochemical hydrogen production.

Photoelectrochemical (PEC) reaction with efficient, stable, and cost-effective photocathodes using non-precious metals will be one of the most environmentally friendly technologies for hydrogen (H) generation under the worldwide pressure for carbon neutrality. Herein, a new 3-dimentional (3D) SiNWs@MoS/NiS photocathode was designed and synthesized. Defect-rich MoS/NiS nanosheets on silicon nanowires (SiNWs) provide more active sites to promote charge transfer and photo-generated electron-hole separation.

Photocatalytic degradation of organic pollutants in water by N-doping ZnS with Zn vacancy: enhancement mechanism of visible light response and electron flow promotion.

In order to improve the visible light response, N-doping ZnS (N-ZnS) nanospheres with Zn vacancy and porous surface were prepared by a simple one-pot hydrothermal method. Characterizations and density functional theory simulations showed excellent visible light response of N-ZnS. N-doping introduced impurity energy levels, which led to orbital hybridization and changed the original dipole moment.

Antibacterial and corrosion protection properties of SA-CuZnO@ODA-GO composite in circulating cooling water.

The suitable temperature of circulating cooling water is conducive to the reproduction of bacteria, which will cause corrosion to the pipe and form slime on its surface. Therefore, the sterilization of circulating cooling water is an essential step. In this work, a new type of SA-CuZnO@ODA-GO composite antibacterial material with hydrophobic properties was prepared by ultrasonic treatment method.

Antibacterial properties of recoverable CuZnO@FeO@GO composites in water treatment.

The growth of bacteria will lead to water quality deterioration and equipment damage. Therefore, it is necessary to control the growth and reproduction of microorganisms in water treatment. A new type of magnetic recoverable CuZnO@FeO@GO composites was prepared by ultrasonic method, and the composites were characterized and analyzed by SEM, TEM, XPS, and other methods.

Antibacterial and anticorrosive properties of CuZnO@RGO waterborne polyurethane coating in circulating cooling water.

In order to control bacterial adhesion and metal corrosion in the circulating cooling water system, it is necessary to prepare a nanocomposite-modified coating with antibacterial and anticorrosive functions. Copper and zinc composite oxide (CuZnO) was synthesized to prepare CuZnO@RGO nanocomposites. The antibacterial mechanism of CuZnO@RGO nanocomposites was investigated using gram-negative bacteria E.

Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations.

Modern world has witnessed a dramatic increase in our ability to collect, transmit and distribute real-time monitoring and surveillance data from large-scale information systems and cyber-physical systems. Detecting system anomalies thus attracts significant amount of interest in many fields such as security, fault management, and industrial optimization. Recently, invariant network has shown to be a powerful way in characterizing complex system behaviours.

[Comparison of content of curdione, curcumol, germacrone and beta-elemene in different varieties of vinegar backed Rhizoma Curcuma].

Objective: To establish a HPLC method for determination of 4 components in different varieties of vinegar backed Rhizoma Curcuma.

Method: The method was established by using an Elite Hypersil ODS2 column (4.6 mm x 250 mm, 5 microm).

Approximation modeling for the online performance management of distributed computing systems.

A promising method of automating management tasks in computing systems is to formulate them as control or optimization problems in terms of performance metrics. For an online optimization scheme to be of practical value in a distributed setting, however, it must successfully tackle the curses of dimensionality and modeling. This paper develops a hierarchical control framework to solve performance management problems in distributed computing systems operating in a data center.

Adaptive sensor placement and boundary estimation for monitoring mass objects.

Sensor networks are widely used in monitoring and tracking a large number of objects. Without prior knowledge on the dynamics of object distribution, their density estimation could be learned in an adaptive manner to support effective sensor placement. After sensors observe the "current" locations of objects, the estimates of object distribution are updated with these new observations through a recursive distributed expectation-maximization algorithm.