Impact of recharge water source quality on Chlorella vulgaris growth and biomass: Strategies for eutrophication control in urban landscape lakes.

Understanding the relationship between recharge water quality and algal metabolism is critical for managing eutrophication in urban landscape water bodies. This study investigates six landscape water bodies in Xi'an City, utilizing natural and reclaimed water recharge sources to cultivate and evaluate the growth and biomass composition of Chlorella vulgaris. The findings revealed that the growth and metabolic rate of C.

DeCGR: an interactive toolkit for deciphering complex genomic rearrangements from Hi-C data.

Background: Complex genomic rearrangements (CGRs) drive the restructuring of chromatin architecture, resulting in significant interactions among rearranged fragments, visible as anomalous interaction blocks in chromatin contact maps generated by chromosome conformation capture technologies such as Hi-C. These blocks not only offer the orientation and genome coordinates of rearranged fragments but also filter out false positive CGRs, thereby facilitating CGR assembly. Despite this, there is a lack of interactive graphical software tailored for this purpose.

Transparent and Corrosion-Resistant PDMS/ITO/Ag/ITO Multilayer Film for Efficient EMI Shielding in a Marine Environment.

The issue of increased electromagnetic pollution has sparked widespread demands for electromagnetic interference (EMI) shielding technology in specialized applications such as optical windows and periscopes. More importantly, the materials maintaining a high transmittance and excellent EMI shielding stability in harsh environments still remain an urgent challenge. In this work, a multilayered PDMS/ITO/Ag/ITO (PIAI) film is constructed by magnetron sputtering and spin-coating techniques.

Characteristics of heterotrophic endophytic bacteria in four kinds of edible raw vegetables: species distribution, antibiotic resistance, and related genes.

This study aimed to explore antibiotic resistance characteristics and species of heterotrophic endophytic bacteria (HEB) in four kinds of edible raw vegetables, including radishes, lettuces, onions, and tomatoes. A total of 144 HEB were isolated and tested for resistance to sulfamethoxazole (SMZ), tetracycline (TET), cefotaxime (CTX), and ciprofloxacin (CIP), and their species were identified by 16S rRNA gene sequencing. Antibiotic resistance genes (ARGs) and class I integron in antibiotic-resistant isolates were analyzed by polymerase chain reaction.

Different regulative effects of high- and low-frequency external trigeminal nerve stimulation (eTNS) on sleep activity: Preliminary study.

Study Objective: With the growing prominence of peripheral nerve stimulation technology, the clinical applications and potential neurophysiological mechanisms of external trigeminal nerve stimulation (eTNS) have garnered increasing attention. Despite its status as the sole neuromodulation method commonly employed in sleep, no studies have explored the effects of eTNS at varying frequencies on sleep activities. This study aims to investigate the regulatory effects of high-frequency and low-frequency eTNS on sleep activities using polysomnography.

An Enhanced Feature-Fusion Network for Small-Scale Pedestrian Detection on Edge Devices.

Small-scale pedestrian detection is one of the challenges in general object detection. Factors such as complex backgrounds, long distances, and low-light conditions make the image features of small-scale pedestrians less distinct, further increasing the difficulty of detection. To address these challenges, an Enhanced Feature-Fusion YOLO network (EFF-YOLO) for small-scale pedestrian detection is proposed.

Application of Bivariate Reproducing Kernel-Based Best Interpolation Method in Electrical Tomography.

Electrical Tomography (ET) technology is widely used in multiphase flow detection due to its advantages of low cost, visualization, fast response, non-radiation, and non-invasiveness. However, ill-posed solutions lead to low image reconstruction resolution, which limits its practical engineering applications. Although existing interpolation approximation algorithms can alleviate the effects of the ill-posed solutions to some extent, the imaging results remain suboptimal due to the limited approximation capability of these methods.

Buckling Behavior Analysis of Kirigami Structure Under Tension.

Flexible electronic technology has attracted great interest, where rigid and brittle semiconductor materials can withstand large deformation. In order to improve the stretchability of devices, many novel structures have been designed, such as the classical "wavy" structure, the island-bridge structure, and origami structures that achieve stretchability through creases. However, the stretchability of these structures is still not large enough.

Vacuum Filtration-Coated Silver Electrodes Coupled with Stacked Conductive Multi-Walled Carbon Nanotubes/Mulberry Paper Sensing Layers for a Highly Sensitive and Wide-Range Flexible Pressure Sensor.

Flexible pressure sensors based on paper have attracted considerable attention owing to their good performance, low cost, and environmental friendliness. However, effectively expanding the detection range of paper-based sensors with high sensitivities is still a challenge. Herein, we present a paper-based resistive pressure sensor with a sandwich structure consisting of two electrodes and three sensing layers.

ASIP Performance Enhancement by Hazard Control through Scoreboard.

The application-specific instruction set processor (ASIP) has been gradually accepted in AI, communication, media, game and industry control. The digital signal processor (DSP) is a typical ASIP, whose benefits include high performance in specific domains, low power consumption, high flexibility and low silicon consumption. One of the challenges for DSP design is to handle problems induced by datapath acceleration.

MCGAN-a cutting edge approach to real time investigate of multimedia deepfake multi collaboration of deep generative adversarial networks with transfer learning.

The proliferation of multimedia-based deepfake content in recent years has posed significant challenges to information security and authenticity, necessitating the use of methods beyond dependable dynamic detection. In this paper, we utilize the powerful combination of Deep Generative Adversarial Networks (GANs) and Transfer Learning (TL) to introduce a new technique for identifying deepfakes in multimedia systems. Each of the GAN architectures may be customized to detect subtle changes in different multimedia formats by combining their advantages.

Insights into the stability assessment and reaction mechanisms of Mn-oxide-containing adsorbents for As(Ⅲ) removal in filter columns: Migration laws and stabilization mechanisms of Mn element.

This study focused on two Mn-oxide-containing adsorbents for As(Ⅲ) removal, namely granular iron-manganese composite oxide (GFMO) and granular iron-manganese-copper composite oxide (GFMCO). The comparative experiments results demonstrated that GFMCO exhibited superior performance in As(Ⅲ) removal and a more obvious Mn(II) release compared to GFMO. Furthermore, this study explored the approaches for the control of manganese release during As(Ⅲ) removal, identifying sodium hypochlorite (NaClO) oxidation followed by manganese sand filtration as the most effective method for capturing released Mn(Ⅱ) in water.

Wet-spun Ag/PEDOT: PSS composite fibers for high-sensitive SERS sensing and high electrical conducting.

Nanometal-based composite fibers have been widely explored in flexible sensors due to their outstanding optical and electrical properties. However, the weak binding force between metallic nanomaterial and fiber greatly limits the real application. In this work, nano silver (Ag) are strongly bonded with poly(3,4-ethylenedioxythiophene)-poly (styrene sulfonate) (PEDOT: PSS) fiber by the wet-spun process.

Mechanism of rhamnolipid promoting the degradation of polycyclic aromatic hydrocarbons by gram-positive bacteria-Enhance transmembrane transport and electron transfer.

In this study, the Gram-positive bacterium Bacillus licheniformis T5 was utilized to investigate the impact of rhamnolipid on cell membrane and cell wall, as well as enzyme activity and electron transfer rate within cells. Results indicated that at the optimal concentration of rhamnolipid (200 mg/L), the cell membrane protein and cell wall peptidoglycan content of T5 decreased significantly. Infrared spectrum analysis and ultrastructure observations confirmed these findings, revealing noticeable changes in cell morphology in the presence of rhamnolipid.

Tracking the Aging-Induced Evolution in Self-Healing Capacities of Asphalt Binder: Microstructure and Rheology Analysis.

Asphalt pavement inevitably undergoes aging and deterioration of service performance under atmospheric and solar radiation conditions. This study developed an efficient and durable self-healing asphalt based on the designability of the polymer chemical structure and reversible recombination of covalent bonds. Moreover, the effect of long-term thermal oxidative aging and ultraviolet (UV) aging on self-healing promotion by polymers (PUS) containing dynamic disulfide bonds was investigated through a nonthixotropic evaluation system.

Preparation and Characterization of Red, Green, Blue (RGB) and White Luminescent Inorganic/Organic Polymers Through In Situ Polymerization.

YVO:Eu/PMMA, LaPO:Ce,Tb/PMMA and CaWO/PMMA nanocomposites were prepared by in situ polymerization method with hydrophobic YVO:Eu, LaPO:Ce,Tb and CaWO nanoparticles as the filler and poly (methyl methacrylate) (PMMA) as the host material. All the nanoparticles and composites have been well characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscope (TEM), the thermogravimetric analysis (TGA), photoluminescence excitation, and emission spectra and luminescence decays. YVO:Eu/PMMA, LaPO:Ce,Tb/PMMA, CaWO/PMMA nanocomposites exhibit strong red, green and blue photoluminescence upon 254 nm UV excitation, respectively.

An ionic-liquid functionalized metal-organic framework and its high performance as a solid electrolyte for lithium-ion conduction.

Crystalline porous metal-organic frameworks (MOFs) have attracted great interest, including in the field of solid-state electrolytes. Herein, we report a new type of solid-state electrolyte based on an MOF matrix and a Li ionic liquid. By covalently bonding the Li ionic liquid (MIMS·LiTFSI) on the stable UiO-67 framework, the obtained crystalline IL-MOF material exhibited high ion conductivities within a wide temperature range (30 °C 1.

Rethinking density ratio estimation based hyper-parameter optimization.

Hyper-parameter optimization (HPO) aims to improve the performance of machine learning algorithms by identifying appropriate hyper-parameters. By converting the computation of expected improvement into density-ratio estimation problems, existing works use binary classifiers to estimate these ratio and determine the next point by maximizing the class posterior probabilities. However, these methods tend to treat different points equally and ignore some important regions, because binary classifiers are unable to capture more information about search spaces and highlight important regions.

Comprehensive effects of biochar-assisted nitrogen and phosphorus bioremediation on hydrocarbon removal and microecological improvement in petroleum-contaminated soil.

Biochar is widely used in agricultural soils, but its effects with nitrogen and phosphorus amendments on petroleum-contaminated soil are unclear. This study investigated biochar-assisted biostimulation in a microcosm experiment, focusing on hydrocarbon degradation, nitrogen cycling, and soil properties. Compared to the biostimulation alone (BS), biochar combined biostimulation (BSC) significantly enhanced the abundances of petroleum hydrocarbon degraders including Lysobacter and Brevundimonas, which led to a 17% increase in total petroleum hydrocarbon (TPH) degradation, with 9% and 39% enhancements in saturated hydrocarbon degradation and aromatic hydrocarbon fraction degradation, respectively.

Simultaneous removal of ammonia, copper ions and sulfamethoxazole from aquaculture wastewater with low carbon to nitrogen ratio enhanced by manganese redox driven by a two-stage synergistic bioreactor: Optimization and potential mechanism.

The problem of low carbon-nitrogen ratio (C/N) in wastewater is a major challenge for biological treatment, especially the complex pollution of ammonia nitrogen (NH-N), sulfamethoxazole (SMX), and copper ions (Cu(II)). Herein, a strain of Pseudoxanthomonas sp. MA23 with manganese (Mn) reduction-coupled ammonia oxidation properties was isolated.