Agriculture neutralization:perspective from intelligent agricultural machinery

Against the background of climate change,exploring avoidable greenhouse gas emission from agriculture practices has gained public attention in the context of global energy transition.Intelligent agricultural machinery plays a crucial role in reducing carbon emissions in agriculture systems,and through the use of new energy,smart plant protection,and IoT technologies,carbon emissions can be significantly reduced.The focus of our debate is on the key role those intelligent technologies play,and what are the principles and shortcomings behind their effectiveness.What are the potential impacts of unmanned farms on agricultural carbon reduction and human survival issues in the future?

Expert insights on Malaysia’s residential solar-energy policies:shortcomings and recommendations

Malaysia has a long way before achieving the 20%renewable-energy penetration by 2025.Currently,merely 2%of the country’s electricity is generated by renewable energy sources including solar power.Unlike the abundant literature about solar energy,qualitative studies that focus on experts’opinions on the weaknesses of residential solar-energy policies have received less attention,particularly in the context of Malaysia.Understanding the flaws in the existing policies would lead to creating a better policy framework for solar-energy development.Thus,this study aims to identify the shortcomings of the current government initiatives and policies that deter solar photovoltaic adoption among households from experts’perspectives.Experts also provide recommendations for better future policy design and implementation.This study employs a qualitative research approach(via semi-structured interviews)in collecting experts’viewpoints.Key concerns emerging from the interviews include insufficient financial support,lack of awareness programmes and subsidized electricity tariffs.Also,interviewed experts suggest sufficient financial incentives,increased public awareness programmes and comprehensive legislation aimed at safeguarding consumer interests as a means to raising solar-energy adoption in the country.This underlines the need for policymakers to create public awareness,provide financial support and develop regulatory measures aimed at managing solar companies for the sake of solar development in Malaysia.

Rising to Challenges and Remedying Shortcomings to Reach the Goal of Moderate Prosperity

Speaking at the fourth meeting of the Central Commission for Financial and Economic Affairs,General Secretary Xi Jinping said that China has already essentially achieved the objectives for building a moderately prosperous society in all respects,but stressed that although our efforts have yielded better results than anticipated,there still remain a number of weak links that need to be fixed.We must therefore go on the offensive,focusing our strength and working with greater intensity to ensure that these shortcomings are addressed quickly.

Fixing Education Shortcomings

China plans to overhaul its education system to ensure fair distribution and improved qualityF or many Chinese people, the beginning of 2011 holds the promise of a fresh round of education reforms,

A Comprehensive View on the Progress of Organoid Research with an Emphasis on its Relevance to Disease Characterization

INTRODUCTION Organoids are primary tissue or stem cells derived cell aggregates that have the capacity for self-organization,self-renewal,and the capacity to mimic cellular and tissue level functions.Organoids can overcome the shortcomings of traditional 2D cell culture models and closely mimic 3D primary tissue composition.

Introduction to the Special Issue on Modeling of Heterogeneous Materials

In order to make up for the shortcomings of homogeneous materials and meet the needs of industry development,heterogeneous materials have been increasingly applied in aviation,automobile,bridge and other fields.Heterogeneous materials refer to advanced materials with non-uniform components.By adjusting the structure or composition of heterogeneous materials,their performance may change in a specific direction to adapt to different environments and achieve special functions.To achieve wide applications of homogeneous materials,it is very important to be able to predict the performance and material response of heterogeneous materials.Modeling method is a basic and important method to accomplish this task.Modeling methods for studying heterogeneous materials include finite element method(FEM),molecular dynamics(MD),peridynamics(PD)and so on.

Progress of Central Bank Digital Currency in Cross-border Payments and the Application Prospect in the Oil and Gas Field

The rapid development of the digital economy and profound changes in currency functions have driven the emergence of a large number of digital currencies.In order to improve the competitiveness and efficiency of payment systems,governments all over the world have accelerated the research and development of central bank digital currency(CBDC).After years of preparation and research and development,Digital renminbi has also entered the pilot application stage.Given the many shortcomings of the current cross-border payment system,CBDC cross-border payment has become an important development direction.At present,some central banks are collaborating on CBDC cross-border payment research and initiating experimental plans to explore CBDC cross-border payment arrangements.With the expansion of the acceptance range of Digital renminbi and the improvement of the international use level of CNY,oil and gas enterprises will have broad prospects in the cross-border payment field in the future.This paper suggests that oil and gas enterprises,in accordance with the principle of"from easy to difficult,step by step",give priority to the introduction of Digital renminbi from regions and fields where RMB or local currency settlement has been achieved,and combine Digital renminbi with imported oil and gas to explore the use of Digital renminbi in cross-border payment.

干勇:用15年时间实现关键资源和材料自主可控

"We should set a new strategic goal,focusing on the shortcomings of the minerals and materials supply chains in terms of resources supply,scientific and technical level,green development,and recycling&re-utilization.We should cultivate some enterprises with international competitiveness by persisting in independent innovation,constantly optimizing the industrial structure,improving product quality and enterprise performances,and achieving green and low-carbon development.At the same time,we should realize the independence and availability of critical minerals and materials and completely realize the high-quality development of minerals and material industry in 15 years."

CNREG realized the large-scale production of medium and heavy rare earth metal products for the first time

The successful production of the first batch of medium and heavy rare earth metal products of Ruixin Company,a subsidiary of CNREG,marks that CNREG has realized large-scale production of medium and heavy rare earth metal products for the first time.The new products not only expand CNREG’s categories of metal and alloy products,but also replenish the shortcomings of CNREG in the industrial chain at the production of rare earth metals,complete the product structure,broaden the value boundary of resources and open up new economic growth point for CNREG.

Multi-robot path planning based on a deep reinforcement learning DQN algorithm

The unmanned warehouse dispatching system of the‘goods to people’model uses a structure mainly based on a handling robot,which saves considerable manpower and improves the efficiency of the warehouse picking operation.However,the optimal performance of the scheduling system algorithm has high requirements.This study uses a deep Q-network(DQN)algorithm in a deep reinforcement learning algorithm,which combines the Q-learning algorithm,an empirical playback mechanism,and the volume-based technology of productive neural networks to generate target Q-values to solve the problem of multi-robot path planning.The aim of the Q-learning algorithm in deep reinforcement learning is to address two shortcomings of the robot path-planning problem:slow convergence and excessive randomness.Preceding the start of the algorithmic process,prior knowledge and prior rules are used to improve the DQN algorithm.Simulation results show that the improved DQN algorithm converges faster than the classic deep reinforcement learning algorithm and can more quickly learn the solutions to path-planning problems.This improves the efficiency of multi-robot path planning.

核壳Au@NiS1+x助催化剂实现高效TiO_(2)光催化制氢

The convertion of solar energy into hydrogen energy with high energy density by photocatalysis is a green and eco-friendly avenue to solve the energy crisis and environmental pollution issues 1,2.Unfortunately,most photocatalysts usually suffer from the rapid quenching of photogenerated carriers and depressed interfacial H_(2)-generation dynamics 3,4.To overcome the above shortcomings,cocatalysts are widely employed to promote the separation of photocarriers and to create active sites for surface catalytic reactions 5.For a superb cocatalyst,its active sites usually play a key role in the overall performance of photocatalytic H_(2) evolution because the active sites can not only provide a large number of adsorption centers to enrich H+,but also present an outstanding catalytic efficiency to convert H+into H_(2) by reducing its reaction overpotential 6.Thus,the active-site number and efficiency of cocatalysts should be maximized as much as possible to greatly boost the cocatalytic H2-evolution activity by photocatalysis.

Modeling height–diameter relationship for Populus euphratica in the Tarim riparian forest ecosystem, Northwest China

Modeling height–diameter relationships is an important component in estimating and predicting forest development under different forest management scenarios. In this paper, ten widely used candidate height–diameter models were fitted to tree height and diameter at breast height（DBH）data for Populus euphratica Oliv. within a 100 ha permanent plots at Arghan Village in the lower reaches of the Tarim River, Xinjiang Uyghur Autonomous Region of China. Data from 4781 trees were used and split randomly into two sets：75 % of the data were used to estimate model parameters（model calibration）, and the remaining data（25 %） were reserved for model validation. All model performances were evaluated and compared by means of multiple model performance criteria such as asymptotic t-statistics of model parameters, standardized residuals against predicted height,root mean square error（RMSE）, Akaike’s informationcriterion（AIC）, mean prediction error（ME） and mean absolute error（MAE）. The estimated parameter a for model（6） was not statistically significant at a level of a = 0.05. RMSE and AIC test result for all models showed that exponential models（1）,（2）,（3） and（4） performed significantly better than others. All ten models had very small MEs and MAEs. Nearly all models underestimated tree heights except for model（6）. Comparing the MEs and MAEs of models, model（1） produced smaller MEs（0.0059） and MAEs（1.3754） than other models. To assess the predictive performance of models, we also calculated MEs by dividing the model validation data set into 10-cm DBH classes. This suggested that all models were likely to create higher mean prediction errors for tree DBH classes[20 cm. However, no clear trend was found among models.Model（6） generated significantly smaller mean prediction errors across all tree DBH classes. Considering all the aforementioned criteria, model（1）： TH ？ 1：3 t a= e1 t b？eàc？DBHT and model（6）： TH ？ 1：3 t DBH2= ea t b？DBH t c ？ DBH2T are recommended as suitable models for describing the height–diameter relationship of P. euphratica. The limitations of other models showing poor performance in predicting tree height are discussed. We provide explanations for these shortcomings.

Nonlocal Physics in the Wave Function Terminology

Shortcomings of the Boltzmann physical kinetics and the Schrödinger wave mechanics are considered. From the position of nonlocal physics, the Schrödinger equation is a local equation;this fact leads to the great shortcomings of the linear Schrödinger wave mechanics. Nonlocal nonlinear quantum mechanics is considered using the wave function terminology.

Analysis of Krashen's Affective Filter Hypothesis

Affective filter hypothesis is one of Krashen's five hypotheses on Second Language Acquisition (SLA), and it states that a number of affective variables play a very important role in Second Language Acquisition. Based on the introduction of affective filter hypothesis, this paper will analyze the significance and shortcomings of this hypothesis.

A Study of the Problems in College Students' Oral English Practice

In recent years,as we all know that English is spreading and using widely in china.It has developed from monotonous language and knowledge to multiple and compositive language and knowledge.For example,the level four and the level eight test of English major and the level four and level six text of non-English major is also reforming.They usually major in reading before,but with the time going on,they need all the students to apply the ability of listening,reading,writing and speaking all in one.Spoken language is the most unsubstantial link all of these days.Of cause,it's reflected in English teaching,it makes spoken language an unsubstantial link in College English Teaching.

Biodegradable interference distraction implant:a promising replacement for conventional implant in patients with insufficient alveolar bone height

Background Dental implants have been widely used in the last few decades.However,patients with insufficient bone height need reconstructive surgeries before implant insertion.Distraction implant(Dl)has been invented to simplify the treatment procedure,but the shortcomings of Dl have limited its clinical use.We introduced biodegradable polyester to a novel Dl,called biodegradable interference distraction implant(BIDI).The purpose of this study was to assess the radiological,histological,and biomechanical properties of BIDI in animal models.Methods BIDIs were manufactured and inserted into the atrophied mandibles of 6 dogs.

The Microgenegtic Method and Second Language Acquisition in China

This paper took papers concerning microgenetic method in the field of SLA that published during 2003-2017 at prestigious journals for foreign language as the research target to find out its path of developing,advantages and shortcomings of this method and its developmental trends.The author hopes that this paper could help in gaining a better understanding of this method and encouraging scholars to solve research problems at the help of this method.

Classical Coset Hamiltonian for the Electronic Motion and its Application to Anderson Localization and Hammett Equation

A classical coset Hamiltonian is introduced for the system of one electron in multi-sites.By this Hamiltonian,the dynamical behaviour of the electronic motion can be readily simulated.The simulation reproduces the retardation of the electron density decay in a lattice with site energies randomly distributed-an analogy with Anderson localization.This algorithm is also applied to reproduce the Hammett equation which relates the reaction rate with the property of the substitutions in the organic chemical reactions.The advantages and shortcomings of this algorithm,as contrasted with traditional quantum methods such as the molecular orbital theory,are also discussed.

APJTM streamlines content coverage and submission process to better support tropical medicine research

Asian Pacific Journal of Tropical Medicine(APJTM)is a peer-reviewed open access monthly publication focusing on neglected tropical diseases and major diseases that are prevalent in the underdeveloped tropical regions.The Journal received an updated journal Impact Factor of 3.041 in the newly released 2021 Journal Citation Report,an increase of 148%over the past year.Among the 24 journals under the category of Tropical Medicine in the Science Citation Index-Expanded(SCIE),the Journal ranks 10/24(Q2).Although journal Impact Factor has several shortcomings and limitations,it is the most widely recognized indicator of journal prestige and impact[1].