The Application of Semantic Cognitive Mechanism of English Idioms in Idiom Teaching

This article takes the perspective of cognitive linguistics and applies the semantic cognitive mechanism of English idioms to analyze the motivation between the generation and meaning of idioms.It explores the teaching of English idioms based on motivation analysis and proposes several suggestions and strategies for idiom teaching,hoping to benefit English idiom teaching.

Decoding molecular mechanisms:brain aging and Alzheimer's disease

The complex morphological,anatomical,physiological,and chemical mechanisms within the aging brain have been the hot topic of research for centuries.The aging process alters the brain structure that affects functions and cognitions,but the worsening of such processes contributes to the pathogenesis of neurodegenerative disorders,such as Alzheimer's disease.Beyond these observable,mild morphological shifts,significant functional modifications in neurotransmission and neuronal activity critically influence the aging brain.Understanding these changes is important for maintaining cognitive health,especially given the increasing prevalence of age-related conditions that affect cognition.This review aims to explore the age-induced changes in brain plasticity and molecular processes,differentiating normal aging from the pathogenesis of Alzheimer's disease,thereby providing insights into predicting the risk of dementia,particularly Alzheimer's disease.

An Eye-Movement Study on the Cognitive Neuroscience Mechanisms of Chinese Classifier Construction

The study manipulated semantic and syntactic variables to explore the cognitive neuroscience mechanisms of Chinese classifier construction"yi+N(CL)+N".It was indicated:First,the mismatch could be dissolved if and only if the CL and modified noun were semantically related,which implied the significance of semantics in dissolving syntactic conflicts and processing linguistic items.Second,syntactic and semantic information were both activated at the early and late stages of language processing,which is consistent with the claims of the extended Concurrent Model.Third,the Access Mechanism of CLs,i.e.items in ordinary partitive phrases and temporary partitive phrases was identified.The former were addressed in a direct way,while the latter were processed in an assembled way.

On Cognitive Mechanism of Metonymy

To cognitive linguists, metonymy is a powerful cognitive tool. It plays a very important role in human life and language use and reflects a significant form of human cognition. This paper analyzes the cognitive mechanisms of metonymy.

A TRUST MECHANISM-BASED CHANNEL ASSIGNMENT AND ROUTING SCHEME IN COGNITIVE WIRELESS MESH NETWORKS WITH INTRUSION DETECTION

Cognitive Wireless Mesh Networks(CWMN) is a novel wireless network which combines the advantage of Cognitive Radio(CR) and wireless mesh networks.CWMN can realize seamless in-tegration of heterogeneous wireless networks and achieve better radio resource utilization.However,it is particularly vulnerable due to its features of open medium,dynamic spectrum,dynamic topology,and multi-top routing,etc..Being a dynamic positive security strategy,intrusion detection can provide powerful safeguard to CWMN.In this paper,we introduce trust mechanism into CWMN with intrusion detection and present a trust establishment model based on intrusion detection.Node trust degree and the trust degree of data transmission channels between nodes are defined and an algorithm of calcu-lating trust degree is given based on distributed detection of attack to networks.A channel assignment and routing scheme is proposed,in which selects the trusted nodes and allocates data channel with high trust degree for the transmission between neighbor nodes to establish a trusted route.Simulation re-sults indicate that the scheme can vary channel allocation and routing dynamically according to network security state so as to avoid suspect nodes and unsafe channels,and improve the packet safe delivery fraction effectively.

A QoS-Aware Packet Scheduling Mechanism in Cognitive Radio Networks for Smart Grid Applications

Cognitive radio sensor network is applied to facilitate network monitoring and management, and achieves high spectrum efficiencies in smart grid. However, the conventional traffic scheduling mechanisms are hard to provide guaranteed quality of service for the secondary users. It is because that they ignore the influence of diverse transition requirements in heterogeneous traffi c. Therefore, a novel Qo S-aware packet scheduling mechanism is proposed to improve transmission quality for secondary users. In this mechanism, a Qo S-based prioritization model is established to address data classification firstly. And then, channel quality and the effect of channel switch are integrated into priority-based packet scheduling mechanism. At last, the simulation is implemented with MATLAB and OPNET. The results show that the proposed scheduling mechanism improves the transmission quality of high-priority secondary users and increase the whole system utilization by 10%.

Mechanics Analysis of Overhead Transmission Lines Based On-line Monitoring

At present, the on-line monitoring is widely applied to the power line monitoring. In this paper, a new mechanical calculation model is established according to the on-line monitoring. And this model is based on the parameters that tension sensors and angle sensors on suspended points detect, and combines with the parameters of the wire itself, and also considers the deflection angel of wires due to wind. In this model, mechanics parameters of wires are turned into the new coordinate plane after deflection angel of wires due to wind, or windage yaw plane. A statics tension balance equation is built in the vertical direction of the new windage yaw plane. According to the theoretical analysis and algorithm, we verify the accuracy of this newly developed mechanical calculation model.

Research on the Cognitive Mechanism of Idioms Translation

Idioms are the marrow in a language, in which it is easy to find a lot of cultural information. English and Chinese people are different in many aspects, such as geography and history, customs, religion and belief, value and concept, etc.It is a very important task in cross-culture communication that the understanding and translation of English and Chinese idioms. This paper mainly analyzes the implicit information lied in English and Chinese idioms.Further, it will figure out the cultural factors influencing English and Chinese people's cognition.Finally, it reveals the cognitive mechanism in different cultures so as to accelerate the cross-culture communication.

Effects of sleep deprivation on cognitive functions

Sleep deprivation （SD） is a common condition that afflicts many people in modem life. Deficits in daytime perfor- mance due to SD are experienced universally. Recent evidence indicates that SD causes impairments in cognitive functions. However, the mechanisms that SD impairs cognitive functions are not clear. This review will focus on the behavioral and neural effects of SD with the aim to elucidate the possible mechanisms of SD-induced deterioration in cognitive functions and to identify directions for future research.

CSMCCVA:Framework of cross-modal semantic mapping based on cognitive computing of visual and auditory sensations

Cross-modal semantic mapping and cross-media retrieval are key problems of the multimedia search engine.This study analyzes the hierarchy,the functionality,and the structure in the visual and auditory sensations of cognitive system,and establishes a brain-like cross-modal semantic mapping framework based on cognitive computing of visual and auditory sensations.The mechanism of visual-auditory multisensory integration,selective attention in thalamo-cortical,emotional control in limbic system and the memory-enhancing in hippocampal were considered in the framework.Then,the algorithms of cross-modal semantic mapping were given.Experimental results show that the framework can be effectively applied to the cross-modal semantic mapping,and also provides an important significance for brain-like computing of non-von Neumann structure.

Prediction of mechanical properties for deep drawing steel by deep learning

At present,iron and steel enterprises mainly use“after spot test ward”to control final product quality.However,it is impossible to realize on-line quality predetermining for all products by this traditional approach,hence claims and returns often occur,resulting in major eco-nomic losses of enterprises.In order to realize the on-line quality predetermining for steel products during manufacturing process,the predic-tion models of mechanical properties based on deep learning have been proposed in this work.First,the mechanical properties of deep drawing steels were predicted by using LSTM(long short team memory),GRU(gated recurrent unit)network,and GPR(Gaussian process regression)model,and prediction accuracy and learning efficiency for different models were also discussed.Then,on-line re-learning methods for transfer learning models and model parameters were proposed.The experimental results show that not only the prediction accuracy of optimized trans-fer learning models has been improved,but also predetermining time was shortened to meet real time requirements of on-line property prede-termining.The industrial production data of interstitial-free(IF)steel was used to demonstrate that R2 value of GRU model in training stage reaches more than 0.99,and R2 value in testing stage is more than 0.96.

Research Progress of Cognitive Impairment in Post-Traumatic Stress Disorder

Post-traumatic stress disorder (PTSD) is a kind of serious mental disorder that occurs after severe traumatic events. It is characterized by severe emotional and memory damage. This paper reviews the relevant research literature on PTSD at home and abroad in recent years, and reviews the mechanism of cognitive impairment in mental trauma to reveal the functional mechanism of cognitive impairment in post-traumatic stress disorder, in order to provide reference for future research.

Visual cognition of birds and its underlying neural mechanism:A review

Birds have acute vision and many remarkable visual cognition abilities,due to their unique living environment.The underlying neural mechanisms have also attracted interests of researchers in neuroscience.Here,we firstly summarize the visual cognition abilities of birds,and make a comparison with mammals.Secondly,the underlying neural mechanisms are presented,including histological structure of avian brain and visual pathways,typical experimental results and conclusions in electrochemistry and electrophysiology.The latter mainly focuses on several higher brain areas related to visual cognition,including mesopallium ventrolaterale,entopallium,visual Wulst,and nidopallium caudolaterale.Finally,we make a conclusion and provide a suggestion about future studies on revealing the neural mechanisms of avian visual cognition.This review presents a detailed understanding of avian visual cognition and would be helpful in ornithology studies in the field of cognitive neuroscience.

Recent advances on the molecular mechanisms of exercise-induced improvements of cognitive dysfunction

Physical exercise is of great significance for maintaining human health.Exercise can provide varying degrees of benefits to cognitive function at all stages of life cycle.Currently,with the aging of the world’s population and increase of life expectancy,cognitive dysfunction has gradually become a disease of high incidence,which is accompanied by neurodegenerative diseases in elderly individuals.Patients often exhibit memory loss,aphasia and weakening of orientation once diagnosed,and are unable to have a normal life.Cognitive dysfunction largely affects the physical and mental health,reduces the quality of life,and causes a great economic burden to the society.At present,most of the interventions are aimed to maintain the current cognitive level and delay deterioration of cognition.In contrast,exercise as a nonpharmacological therapy has great advantages in its nontoxicity,low cost and universal application.The molecular mechanisms underlying the effect of exercise on cognition are complex,and studies have been extensively centered on neural plasticity,the direct target of exercise in the brain.In addition,mitochondrial stability and energy metabolism are essential for brain status.Meanwhile,the organ-brain axis responds to exercise and induces release of cytokines related to cognition.In this review,we summarize the latest evidence on the molecular mechanisms underlying the effects of exercise on cognition,and point out directions for future research.

On the Accordance of Religious and Scientific Cognition Mechanism

There are various differences and contraries, sometimes, even a vehement collision between religion and science. However, to the understanding of objective things, the cognition principles which the two follow are almost unanimous. Basically, mature religions have established complete theology systems, which are one of the means of human cognition, considering objective reality as cognitive basis, following cognitive universal rules and full of rationality and Irrationality through the cognitive process as well as science.

Cognition Based Adaptive Control Mechanism

According to the basic functions and objectives of Cognitive Radio (CR) systems, the cognition-based adaptive control mechanism is the generalization of the research contents and approaches of cognitive radio systems. Therefore, the mechanism is described by a cognition loop, which contains the following parts: environment, inner structure of intelligent systems, observation and action.

Design of Na-K Alloy Differential Pressure Sensor with On-line Monitoring Function

Because the melting point of the alkalis is very high and the metal activity is strong, the common pressure sensor can＇t be used to measure pressure of liquid metal. In this paper, a differential transformer differential pressure sensor for measuring liquid alkalis pressure is designed, the working principle and specific design plan of the sensor are introduced, the standard current signal （ 4 -20 mA） or digital communication RS485 can be output according to the needs, and the functions of remote monitoring and data optimization can be realized through the LAN interface.

老年遗忘型轻度认知障碍执行功能的神经机制及数字干预

阿尔茨海默病具有极高的发病率和致死率。遗忘型轻度认知障碍(Amnestic Mild Cognitive Impairment,aMCI)作为临床前驱期,探究其形成和发展机制有助于预防阿尔茨海默病的发生。现有研究显示,多个执行域缺陷与aMCI记忆衰退密切相关,但尚未回答何种执行域是关键致病因子、关键干预治疗靶标等科学问题。为突破以往研究将执行功能视作整体抑或割裂元素的局限性,本研究拟从执行功能结构全貌着眼,在提出aMCI执行功能与记忆损害关系假说的基础上,利用脑电技术系统考察aMCI抑制、刷新和转换三种执行功能子成分的时域、时频和动态脑网络特征;并结合三维卷积神经网络筛选、识别执行功能缺陷的特异性神经靶标,探索将抑制域相关神经标记物加入aMCI早期识别的可能性;最后,通过纵向因果设计分析不同靶向数字干预对aMCI患者的训练效果及神经基础,以揭示抑制域相关额顶控制网络在干预中的重要作用。本研究有望从计算认知神经视角阐明抑制是aMCI执行功能缺损和干预的认知新靶点,进而为aMCI早期识别和制定精准化诊疗方案提供循证依据。

神经可塑性机制在卒中后认知功能恢复中的作用

卒中后认知障碍(PSCI)因其高发病率、高致残致死率而在国际卒中研究领域备受瞩目,但因其发病机制未完全阐明而限制了有效治疗手段。临床观察性研究表明,卒中后12个月内患者的认知功能呈不同程度的恢复,这一恢复与神经可塑性机制密切相关。深入了解神经可塑性机制对于制定最佳的卒中后神经系统修复策略并对受损脑功能进行补偿具有重要意义。本文首先介绍了卒中后自发神经可塑性机制,包括神经细胞的可塑性、突触神经环路的可塑性和脑网络的可塑性,及其与认知功能之间的关系,揭示了神经可塑性与脑功能恢复的动态和复杂性。随后探讨了增强神经可塑性的方法,包括药物治疗、康复训练、非侵袭性脑刺激和其他方法,提倡早期干预效果好。尽管一些新兴方法尚缺乏明确的临床依据,但初步研究中的疗效令人鼓舞,有望开启卒中后治疗的新篇章。