Study on mechanism of biochar improving acid Soil: Multi-scale experiment and numerical simulation.

This study explored peanut shell biochar's remediation effects on acidic soils through leaching experiments and numerical simulations. Five biochar application rates (0-10 %) were tested under leaching (LP) and natural (NP) conditions. Biochar significantly increased soil pH (from 5.

[NO Generation, Key Influencing Factors, and Emission Reduction Strategies of AO Process in Municipal Wastewater Treatment Plant].

To achieve non-carbon dioxide greenhouse gas emission reduction and control in municipal wastewater treatment plants （WWTPs）, this study conducted one-year long-term monitoring of nitrous oxide （NO） in the anaerobic-anoxic-aerobic （AO） process of a large-scale municipal wastewater treatment plant in Beijing. The experimental results showed that the anaerobic and anoxic zones of the AO process could effectively remove dissolved NO contained in the return sludge, while the aerobic zone was the main area for NO generation and emission, and its generation pathway may have been dominated by ammonia oxidizing bacteria （AOB） denitrification. A significant difference was observed between winter and summer NO production, and the difference in the average NO release flux was up to 7.

Analysis of monomeric and competitive adsorption mechanisms of nutrient ions on biochar surfaces based on molecular dynamics simulations.

This study explores the mechanisms of monomeric and competitive nutrient ion adsorption on biochar surfaces using molecular dynamics simulations and experimental data. CHO offers low-energy adsorption sites for ammoniacal nitrogen, while C-SH and C-NH facilitate adsorption for nitrate nitrogen and available phosphorus. Available potassium is primarily adsorbed near the benzene ring.

The mitochondrial genome sequences of eleven leafhopper species of (Hemiptera: Cicadellidae: Iassinae) reveal new gene rearrangements and phylogenetic implications.

is the most diverse and widely distributed genus of Iassinae. Nevertheless, there has been no systematic analysis of the genome structure and phylogenetic relationships of the genus. To determine the characteristics of the mitogenomes of species as well as the phylogenetic relationships between them, we sequenced and compared the mitogenomes of 11 representative species.

Large-scale soil application of hydrochar: Reducing its polycyclic aromatic hydrocarbon content and toxicity by heating.

The beneficial roles of hydrochar in carbon sequestration and soil improvement are widely accepted. Despite few available reports regarding polycyclic aromatic hydrocarbons (PAHs) generated during preparation, their potential negative impacts on ecosystems remain a concern. A heating treatment method was employed in this study for rapidly removing PAHs and reducing the toxicity of corn stover-based hydrochar (CHC).

Analysis of the adsorption and fixation process of ammonium nitrogen in arable soil by biochar based on molecular dynamics simulation.

The ammonia nitrogen in arable land soil is susceptible to environmental and anthropogenic influences, leading to nutrient loss. This study utilized indoor soil column leaching experiments, combined with adsorption mathematical models, traditional characterization methods, and molecular dynamics simulation methods, to analyze the effects of biochar on changes in ammonium ions in different soil layers and leachate of arable land soil. The study found that applying biochar at a ratio of 10 % to arable land soil could effectively increase the ammonium ion content in the 0-10 cm soil layer by 1.

Nutrient-rich hydrothermal carbon production by exogenous nutrients combined with seaweed internal water.

As a product of hydrothermal carbonization (HTC) technology, hydrothermal carbon has shown excellent application potential in soil improvement, greenhouse gas reduction and pollution remediation. Since a large amount of water and biomass are directly used as reaction media, hydrothermal carbon produced by traditional HTC possesses poor nutrient properties and accompanied by the generation of toxic and hazardous wastewater. Here, a versatile and easily scalable strategy has been demonstrated for the one-step production of industrial nutrient-rich hydrothermal carbon (NRHC) by combining the exogenous nutrients with seaweed internal water.

Description of the whole mitochondrial genome of Bhatia longiradiata (Hemiptera, Cicadellidae, Deltocephalinae: Drabescini) and phylogenetic relationship.

Background: Mitochondrial genomes are extremely conserved in genetic processes and valuable molecular indications for phylogenetic and evolutionary examination, but the mitochondrial genome of Bhatia has not yet been reported.

Objective: The target of this writing was to clarify the structural module of the mitochondrial genes of Bhatia longiradiata, verify the monophyletic of Drabescini, and explore the phylogenetic relationship between Drabescini with other leafhoppers.

Methods: We performed sequencing and explanatory note of the mitochondrion of Bhatia longiradiata.

Compact artificial neuron based on anti-ferroelectric transistor.

Neuromorphic machines are intriguing for building energy-efficient intelligent systems, where spiking neurons are pivotal components. Recently, memristive neurons with promising bio-plausibility have been developed, but with limited reliability, bulky capacitors or additional reset circuits. Here, we propose an anti-ferroelectric field-effect transistor neuron based on the inherent polarization and depolarization of HfZrO anti-ferroelectric film to meet these challenges.

The effect of biochar on the migration theory of nutrient ions.

As the acidification of arable soils increases, the utilization of nutrient ions such as N, P, and K decreases substantially. It causes environmental pollution and reduces crop yields. Through previous studies, acidified soil amendments have problems such as easy-retrograde and unclear mechanism.

FangTianSim: High-Level Cycle-Accurate Resistive Random-Access Memory-Based Multi-Core Spiking Neural Network Processor Simulator.

Realization of spiking neural network (SNN) hardware with high energy efficiency and high integration may provide a promising solution to data processing challenges in future internet of things (IoT) and artificial intelligence (AI). Recently, design of multi-core reconfigurable SNN chip based on resistive random-access memory (RRAM) is drawing great attention, owing to the unique properties of RRAM, e.g.

Artificial Visual Perception Nervous System Based on Low-Dimensional Material Photoelectric Memristors.

The visual perception system is the most important system for human learning since it receives over 80% of the learning information from the outside world. With the exponential growth of artificial intelligence technology, there is a pressing need for high-energy and area-efficiency visual perception systems capable of processing efficiently the received natural information. Currently, memristors with their elaborate dynamics, excellent scalability, and information ( visual, pressure, sound, ) perception ability exhibit tremendous potential for the application of visual perception.

Oxide-Based Electrolyte-Gated Transistors for Spatiotemporal Information Processing.

Spiking neural networks (SNNs) sharing large similarity with biological nervous systems are promising to process spatiotemporal information and can provide highly time- and energy-efficient computational paradigms for the Internet-of-Things and edge computing. Nonvolatile electrolyte-gated transistors (EGTs) provide prominent analog switching performance, the most critical feature of synaptic element, and have been recently demonstrated as a promising synaptic device. However, high performance, large-scale EGT arrays, and EGT application for spatiotemporal information processing in an SNN are yet to be demonstrated.

A Habituation Sensory Nervous System with Memristors.

The sensory nervous system (SNS) builds up the association between external stimuli and the response of organisms. In this system, habituation is a fundamental characteristic that filters out irrelevantly repetitive information and makes the SNS adapt to the external environment. To emulate this critical process in electronic devices, a Li SiO -based memristor (TiN/Li SiO /Pt) is developed where the temporal response under repetitive stimulation is similar to that of habituation.

Artificial Synapse Based on van der Waals Heterostructures with Tunable Synaptic Functions for Neuromorphic Computing.

Two-dimensional (2D) materials and van der Waals heterostructures have attracted tremendous attention because of their appealing electronic, mechanical, and optoelectronic properties, which offer the possibility to extend the range of functionalities for diverse potential applications. Here, we fabricate a novel multiterminal device with dual-gate based on 2D material van der Waals heterostructures. Such a multiterminal device exhibited excellent nonvolatile multilevel resistance switching performance controlled by the source-drain voltage and back-gate voltage.