Complementary memtransistors for neuromorphic computing: How, what and why

Memtransistors in which the source-drain channel conductance can be nonvolatilely manipulated through the gate signals have emerged as promising components for implementing neuromorphic computing.On the other side,it is known that the complementary metal-oxide-semiconductor(CMOS)field effect transistors have played the fundamental role in the modern integrated circuit technology.Therefore,will complementary memtransistors(CMT)also play such a role in the future neuromorphic circuits and chips?In this review,various types of materials and physical mechanisms for constructing CMT(how)are inspected with their merits and need-to-address challenges discussed.Then the unique properties(what)and poten-tial applications of CMT in different learning algorithms/scenarios of spiking neural networks(why)are reviewed,including super-vised rule,reinforcement one,dynamic vision with in-sensor computing,etc.Through exploiting the complementary structure-related novel functions,significant reduction of hardware consuming,enhancement of energy/efficiency ratio and other advan-tages have been gained,illustrating the alluring prospect of design technology co-optimization(DTCO)of CMT towards neuro-morphic computing.

论宪法中的“监督”——以语义学为视角

我国宪法的有效实施依靠其庞大的监督体系。"监督"被译为"supervise"(及其名词),通过语义学分析可将它的语境规律归纳为行政性、管理性、义务性三点,但若再与我国宪法中的五种监督之语境进行比较可以发现两者差异巨大,因而语义并不能够等同。其实"监督"译为"supervise"起初并无不当,正是因为监督本身的无效化和人民化的语境使其语义发生了巨大流变,而差异的弥补最终也只能依赖语境的再转变。

Long-term ecological compensation policies and practices in China:Insights from the Three Rivers Headwaters Area

Using the Three Rivers Headwaters Area in China as a pilot project, this study has investigated the effectiveness of the ecological compensation policies and practices have implemented in this area over the past decade. Major issues have encountered during the implementation process, including the formidable extent of grassland degradation, the comprehensive nature of measures needed to restore the ecosystem, and the time needed to achieve these goals. These issues are discussed, and remedial measures proposed. They include: drafting regulations giving the Three Rivers Headwaters Area ecological protection, setting aside funds for ecological compensation and establishing a national park, using an ecological assets accounting methodology for financial reporting purposes, designing a science-based approach for conducting the livestock husbandry population migration, enhancing the oversight capacity for all aspects of the ecological compensation process, and making an overall plan to promote the harmonious development of this area together with other regions in Qinghai Province.

Local mine production safety supervision game analysis based on incomplete information

Utilized fundamental theory and analysis method of Incomplete Information repeated games, introduced Incomplete Information into repeated games, and established two stages dynamic games model of the local authority and the coal mine owner. The analytic result indicates that： so long as the country established the corresponding rewards and punishments incentive mechanism to the local authority departments responsible for the work, it reports the safety accident in the coal mine on time. The conclusion that the local government displays right and wrong cooperation behavior will be changed with the introduction of the Incomplete Information. Only has the local authority fulfill their responsibility, can the unsafe accident be controlled effectively. Once this kind of cooperation of local government appears, the costs of the country on the safe supervise and the difficulty will be able to decrease greatly.

Anti-corruption needs a Party law

The tide of anti-corruption swept across China, anti-corruption within the Party is a top priority. It needs sound legal regulation, but now our country doesn＇ t have a specific law to regulate the Party, leading to Party members has not been well constrained about the execution of the power. The author analyzes the necessity of making a Party law from the perspective of curbing corruption, and puts forward some suggestions on strengthening the supervision function of Party law.

An Analysis on the Partial Bubbling in the Macroeconomic

The factors influencing the economy contain the disequilibrium in the actual economy and the price bubbling in the fictitious economy. These factors can transform to each other, so cannot be divided distinctly. The individuals will always have overmuch optimism on the profit of all kinds of investment, and this kind of conduct can induce the partial bubbling in the economy. If we cannot release the partial bubbling in time, it can accumulate and transform to the bubbling economy.

Adaptive Marine Predator Optimization Algorithm(AOMA)-Deep Supervised Learning Classification(DSLC)based IDS framework for MANET security

Due to the dynamic nature and node mobility,assuring the security of Mobile Ad-hoc Networks(MANET)is one of the difficult and challenging tasks today.In MANET,the Intrusion Detection System(IDS)is crucial because it aids in the identification and detection of malicious attacks that impair the network’s regular operation.Different machine learning and deep learning methodologies are used for this purpose in the conventional works to ensure increased security of MANET.However,it still has significant flaws,including increased algorithmic complexity,lower system performance,and a higher rate of misclassification.Therefore,the goal of this paper is to create an intelligent IDS framework for significantly enhancing MANET security through the use of deep learning models.Here,the min-max normalization model is applied to preprocess the given cyber-attack datasets for normalizing the attributes or fields,which increases the overall intrusion detection performance of classifier.Then,a novel Adaptive Marine Predator Optimization Algorithm(AOMA)is implemented to choose the optimal features for improving the speed and intrusion detection performance of classifier.Moreover,the Deep Supervise Learning Classification(DSLC)mechanism is utilized to predict and categorize the type of intrusion based on proper learning and training operations.During evaluation,the performance and results of the proposed AOMA-DSLC based IDS methodology is validated and compared using various performance measures and benchmarking datasets.

MIIT: To Supervise The Energy Conservation Work of Aluminum Enterprises

To implement the Energy Conservation Law and the Measures for the Administration of Industrial Energy Conservation,give full play to the supervisory role of energy conservation supervision,continuously improve industrial energy efficiency and green development,and boost high quality development of industrial economy,the Ministry of Industry