Investigation of system structure and information processing mechanism for cognitive skywave over-the-horizon radar

Based on the cognitive radar concept and the basic connotation of cognitive skywave over-the-horizon radar（SWOTHR）, the system structure and information processingmechanism about cognitive SWOTHR are researched. Amongthem, the hybrid network system architecture which is thedistributed configuration combining with the centralized cognition and its soft/hardware framework with the sense-detectionintegration are proposed, and the information processing framebased on the lens principle and its information processing flowwith receive-transmit joint adaption are designed, which buildand parse the work law for cognition and its self feedback adjustment with the lens focus model and five stages informationprocessing sequence. After that, the system simulation andthe performance analysis and comparison are provided, whichinitially proves the rationality and advantages of the proposedideas. Finally, four important development ideas of futureSWOTHR toward ＂high frequency intelligence information processing system＂ are discussed, which are scene information fusion, dynamic reconfigurable system, hierarchical and modulardesign, and sustainable development. Then the conclusion thatthe cognitive SWOTHR can cause the performance improvement is gotten.

Effect of Level of Processing Prior to Response on Cognitive Control:Evidence from ERP

Based on the idea that intentions have different penetrability to perception and thought, four Stroop-like tasks, AA, AW, WA, and WW are used. Event-related brain potentials are recorded as participants completed these tasks, and standardized low resolution brain electromagnetic tomography （sLORETA） is used to localize the sources at specific time points. These results show that there is an interference effect in the AA and WA tasks, but not in the AW or WW tasks. The activated brain areas related to the interference effect in the AA task are the PFC （prefrontal cortex） and ACC （anterior cingulated cortex）, and PFC aetivation takes place prior to ACC activation, but only in WA task. Combined with previous results, a new neural mechanism of cognitive control is proposed.

Application of Information Processing Theory in Second Language Vocabulary Acquisition

Vocabulary acquisition is an intricate process,which has a close relationship with memory.In cognitive psychology,a large number of studies on memory system have been conducted based on the information processing theory,placing great value on second language learners’cognitive process.This study intends to probe into second language vocabulary acquisition from the perspective of information processing theory in hope to help learners acquire vocabulary more scientifically and efficiently.

Analyzing the Integrated Teaching of Theory and Practice in Communication Technology Based on the Cognitive Process

This study analyzes the cognitive characteristics of students in communication courses in military colleges and the impact of integrated teaching of theory and practice on students’cognitive process as well as proposes the information processing model of students’cognitive process in the integrated teaching of theory and practice.Combining the cognitive characteristics of the students from Communication Technology,on the one hand,this study analyzes the five factors that affect the teaching effect of integrating theory and practice;on the other hand,it proposes improvement measures for the integration of theory and practice from the structure of the teaching content,teaching organization and management,modern education technology,and the ability of teachers.

Research on the Writing Textbooks for English Majors at Polytechnics

Textbooks, as one of the important elements for the teaching effects and students' training aim and quality are the main carri-er and means for the realization of teaching objectives. The paper analyzes the problems of currently-used textbooks at the followingthree aspects, textbook users, compiling styles and contents, based on 31 popular English writing textbooks used at Polytechnics as re-search subjects. Aiming to improve textbook quality and English teaching reform at Polytechnics, the paper also puts forward the ideasof compiling English writing textbooks on the basis of Feuerstein's theory.

Brain areas activated by uncertain reward-based decision-making in healthy volunteers

Reward-based decision-making has been found to activate several brain areas, including the ven- trolateral prefronta~ lobe, orbitofrontal cortex, anterior cingulate cortex, ventral striatum, and mesolimbic dopaminergic system. In this study, we observed brain areas activated under three de- grees of uncertainty in a reward-based decision-making task （certain, risky, and ambiguous）. The tasks were presented using a brain function audiovisual stimulation system. We conducted brain scans of 15 healthy volunteers using a 3.0T magnetic resonance scanner. We used SPM8 to ana- lyze the location and intensity of activation during the reward-based decision-making task, with re- spect to the three conditions. We found that the orbitofrontal cortex was activated in the certain reward condition, while the prefrontal cortex, precentral gyrus, occipital visual cortex, inferior parietal lobe, cerebellar posterior lobe, middle temporal gyrus, inferior temporal gyrus, limbic lobe, and midbrain were activated during the ＇risk＇ condition. The prefrontal cortex, temporal pole, inferior temporal gyrus, occipital visual cortex, and cerebellar posterior lobe were activated during am- biguous decision-making. The ventrolateral prefrontal lobe, frontal pole of the prefrontal lobe, orbi- tofrontal cortex, precentral gyrus, inferior temporal gyrus, fusiform gyrus, supramarginal gyrus, infe- rior parietal Iobule, and cerebellar posterior lobe exhibited greater activation in the ＇risk＇ than in the ＇certain＇ condition （P 〈 0.05）. The frontal pole and dorsolateral region of the prefrontal lobe, as well as the cerebellar posterior lobe, showed significantly greater activation in the ＇ambiguous＇ condition compared to the ＇risk＇ condition （P 〈 0.05）. The prefrontal lobe, occipital lobe, parietal lobe, temporal lobe, limbic lobe, midbrain, and posterior lobe of the cerebellum were activated during deci- sion-making about uncertain rewards. Thus, we observed different levels and regions of activation for different types of reward processing during decision-making. Specifically, when the degree of reward uncertainty increased, the number of activated brain areas increased, including greater ac- tivation of brain areas associated with loss.

Auditory event-related brain potentials for an early discrimination between normal and pathological brain aging

The brain as a system with gradually decreasing resources maximizes its chances by reorganizing neural networks to ensure efficient performance. Auditory event-related potentials were recorded in 28 healthy volunteers comprising 14 young and 14 elderly subjects in auditory discrimination motor task （low frequency tone - right hand movement and high frequency tone - left hand movement）. The amplitudes of the sensory event-related potential components （N1, P2） were more pronounced with increasing age for either tone and this effect for P2 amplitude was more pronounced in the frontal region. The latency relationship of N1 between the groups was tone-dependent, while that of P2 was tone-independent with a prominent delay in the elderly group over all brain regions. The amplitudes of the cognitive components （N2, P3） diminished with increasing age and the hemispheric asymmetry of N2 （but not for P3） reduced with increasing age. Prolonged N2 latency with increasing age was widespread for either tone while between-group difference in P3 latency was tone-dependent. High frequency tone stimulation and movement requirements lead to P3 delay in the elderly group. The amplitude difference of the sensory components between the age groups could be due to a general greater alertness, less expressed habituation, or decline in the ability to retreat attentional resources from the stimuli in the elderly group. With aging, a neural circuit reorganization of the brain activity affects the cognitive processes. The approach used in this study is useful for an early discrimination between normal and pathological brain aging for early treatment of cognitive alterations and dementia.

Investigating a comorbid pattern of ill-health among late adolescents in relation to transdiagnostic processes: A prospective community study

An increase in anxiety, depressed mood and sleep problems has been observed among adolescents. These symptoms have high rates of comorbidity and shared psychological processes have been proposed as maintaining factors. This study examined the occurrence and development of individual profiles of depressive symptoms, anxiety and sleeps problems and investigated them in relation to catastrophic thinking and cognitive avoidance. We used longitudinal data from a community sample of 379 senior high school students at two time points, one year apart. Five clusters were identified: a low scores cluster, a sleep problems cluster, a comorbidity cluster (high on all variables), a low mood cluster and a cluster with elevation on anxiety and depressed mood (“distress”). In general, the clusters showed stability across time. However, for the low mood and “distress” cluster, there was also an increased odds of developing sleep problems. The comorbidity and the “distress” cluster displayed the highest levels of catastrophic thinking. In conclusion, symptom patterns differed among adolescents and were stable over time. Anxiety and/or depressive symptoms were a risk factor for the development of sleep problems. Symptom constellations were related to differences in catastrophic thinking and cognitive avoidance and this may explain maintenance and exacerbation of problems over time.

The Study on Pragmatic Category of Communicative Intention

Successful communication is a dynamic cognitive process,which relies more on proper communicative intention.Communicative pragmatic category emphasizes the speaker and the hearer's mutual knowledge envirionment.

Using an improved sentence paradigm of event-related potentials to examine puns' cognitive mechanism

In order to specify brain temporal dynamics difference between two representative puns, homonymic and semantic puns, alternate presentation of words and phrase(APWP) paradigm was proposed. The highlight of APWP paradigm is to make sentences strictly presented in word-phrase-word-phrase-word forms, which helps relieve visual fatigue of the monotonous presentation form and prevent disturbance by the settled position of the ending word. Following the APWP paradigm, participants are invited to read puns presenting in word-phrase-word-phrase-word forms. Meanwhile, event-related potential(ERP) was adopted to record their electroencephalogram(EEG) data. By observing two linguistic cognitive indexes of EEG data, N400 and P600 caused by puns, it was found that there were significant difference of logical mechanisms between homonymic and semantic puns. For homonymic puns, a significant P600 effect without any obvious N400 amplitude was elicited for the pronunciation of heterograph. For semantic puns, an apparent N400 amplitude might reflect ambiguities and comprehensive difficulty of a homonym into its discourse context. This study also conveyed that the APWP paradigm proved to be a good model for sentences research, which can be applied to other linguistic phenomena of complete context, such as metaphor, irony and jokes, sentence pattern and syntactic research.

Text Difficulty Study:Do Machines Behave the Same as Humans Regarding Text Difficulty?

With the emergence of pre-trained models,current neural networks are able to give task performance that is comparable to humans.However,we know little about the fundamental working mechanism of pre-trained models in which we do not know how they approach such performance and how the task is solved by the model.For example,given a task,human learns from easy to hard,whereas the model learns randomly.Undeniably,difficulty-insensitive learning leads to great success in natural language processing(NLP),but little attention has been paid to the effect of text difficulty in NLP.We propose a human learning matching index(HLM Index)to investigate the effect of text difficulty.Experiment results show:1)LSTM gives more human-like learning behavior than BERT.Additionally,UID-SuperLinear gives the best evaluation of text difficulty among four text difficulty criteria.Among nine tasks,some tasks’performance is related to text difficulty,whereas others are not.2)Model trained on easy data performs best in both easy and medium test data,whereas trained on hard data only performs well on hard test data.3)Train the model from easy to hard,leading to quicker convergence.

Does Mood Affect the Efficiency of Credit Approval？ Evidence from Online Peer-to-Peer Lending

Using a large dataset obtained from ＂Paipaidai,＂ an online peer-to-peer lending platform in China, we examine whether credit officers＇ mood affects the efficiency of credit approval from a perspective of individual decision-making. Refering to studies in psychology and financial economics, we employ season, temperature and weather as mood proxies, and control the variables related to the quality of the loan to study credit approval behavior under different mood conditions. The results suggest that the efficiency of credit approval by individual credit officers is significantly correlated with their mood--a positive mood improves efficiency, while a negative mood reduces it. Specifically, loans examined under better mood conditions （e.g., during spring, comfortable temperatures, and sunny days） have a significantly higher probability of approval, but a lower probability of default if approved; and those examined under poorer mood conditions show a lower probability of approval and a higher probability of default if approved. This effect of mood is even stronger when a loan application is more complex, atypical, or unusual to evaluate. Moreover, investor sentiment, denoted by closed-end fund premiums, has the same effect on credit approval as well.

Sequential Back-Propagation

In this paper we consider the problem of sequential processing and present a sequen-tial model based on the back-propagation algorithm. This model is intended to deal with intrinsically sequential problems, such as word recognition, speech recognition,natural language understanding. This model can be used to train a network to learn the sequence of input patterns, in a fixed order or a random order. Besides, this mod-el is open- and partial-associative, characterized as 'recognizing while accumulating',which, as we argue, is mental cognition process oriented.