Intelligent Recognition Using Ultralight Multifunctional Nano‑Layered Carbon Aerogel Sensors with Human‑Like Tactile Perception

Humans can perceive our complex world through multi-sensory fusion.Under limited visual conditions,people can sense a variety of tactile signals to identify objects accurately and rapidly.However,replicating this unique capability in robots remains a significant challenge.Here,we present a new form of ultralight multifunctional tactile nano-layered carbon aerogel sensor that provides pressure,temperature,material recognition and 3D location capabilities,which is combined with multimodal supervised learning algorithms for object recognition.The sensor exhibits human-like pressure(0.04–100 kPa)and temperature(21.5–66.2℃)detection,millisecond response times(11 ms),a pressure sensitivity of 92.22 kPa^(−1)and triboelectric durability of over 6000 cycles.The devised algorithm has universality and can accommodate a range of application scenarios.The tactile system can identify common foods in a kitchen scene with 94.63%accuracy and explore the topographic and geomorphic features of a Mars scene with 100%accuracy.This sensing approach empowers robots with versatile tactile perception to advance future society toward heightened sensing,recognition and intelligence.

What Is the Impact of Major Diversion Attitude on Undergraduates' Learning Gains?--The Mediating Role of Course Perception

Major diversion is an important part of the large-category student enrollment and training model.The degree to which undergraduates recognize the logic of the major diversion system,their satisfaction with the diverted major,and their major identity after diversion all influence their subsequent learning process and outcomes.The questionnaire survey of undergraduates in this study discovered that major diversion attitude has a significant positive effect on undergraduates'learning gains;the mediating effect test discovered that course perception plays a partially mediating role between major diversion attitude and learning gains.Therefore,under the large-category student enrollment and training model,it is necessary to improve the major diversion system in terms of formulation,major selection guidance,and major identity promotion.Furthermore,strengthening the logical connection and content coupling of different types of courses,dealing with the proportion,priority,and sequence of courses,optimizing the allocation of course resources,and reasonably planning and setting courses all play an important role in improving undergraduate learning gains.

Achieving the Visual Perception and Gestalt Psychology in Sultan Hassan Mosque Building

The gestalt principles are perception and what is visually communicated by objects. These principles describe the visual language within which we work. Understanding how a designer realizes things visually will help designers communicate better. Many designers use Gestalt principles to have a structure visual stimulus, so as to create interfaces that are easy for users to understand. Because the understanding of visual perception is a critical item in any designer’s toolkit. Islamic heritage buildings also contain many architectural values, especially the Sultan Hassan Mosque in Cairo. Through this paper, we will verify the use of gestalt principles of visual perception in the building design. Because the psychological organization of the design, achieves the understanding and awareness of the current relationships between the elements, depending on the extent of regularity, accuracy, and consistency of the design elements. This makes us recognize the esthetic values of Sultan Hassan’s building and mosque. The visual delight we get from architecture begins with how we perceive it. So, in order to understand how visual delight arises, we must first understand how we perceive and interpret visual stimuli. Especially since the principles of gestalt confirm that the human brain tends to make tricks and illusions. Therefore, we found the mosque designer had exploited this fact during the design process, to exclude any possibility of the resulting misunderstanding. The designer achieved the psychological preparation of the visitor by using some principles of visual perception of the Gestalt theory, such as growth, continuity, and hierarchy.

A deep learning-based binocular perception system

An obstacle perception system for intelligent vehicle is proposed.The proposed system combines the stereo version technique and the deep learning network model,and is applied to obstacle perception tasks in complex environment.In this paper,we provide a complete system design project,which includes the hardware parameters,software framework,algorithm principle,and optimization method.In addition,special experiments are designed to demonstrate that the performance of the proposed system meets the requirements of actual application.The experiment results show that the proposed system is valid to both standard obstacles and non-standard obstacles,and suitable for different weather and lighting conditions in complex environment.It announces that the proposed system is flexible and robust to the intelligent vehicle.

A GENERALIZED GOODNESS CRITERION FOR UNSUPERVISED NEURAL LEARNING OF VISUAL PERCEPTION

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Tunisian DREEM: Nursing Students’ Perception of the Learning Environment

Objectives: The evaluation of the learning environment has become critical to professional development and student success. This study aims to evaluate the viewpoints of nursing sciences students on the learning environment using the Dundee Ready Education Environment Measure (DREEM) at a Higher Institute of Nursing Sciences in Tunisia. Methods: A descriptive cross-sectional study was performed on 200 students at the Higher Institute of Nursing Sciences. The Dundee Ready Education Environment Measure was used as a worldwide tool. Descriptive statistics and one-way analysis of variance with a post hoc Tukey-Kramer multiple comparisons test were used for data analysis. Results: The total mean score on the 50-item DREEM inventory was 111.9 out of a maximum of 200. Students’ perceptions of learning, their teachers, their academic self, and of the atmosphere were more positive than negative. Student social self-perception was negatively evaluated. Students were not satisfied with the support system in the institute. The DREEM score was significantly higher for the students in the first year of study (P Conclusion: This is the first study in Tunisia assessing the nursing learning environment;it showed a positive assessment. Therefore, improvements are required, especially in the learning and social domains of the educational environment.

Human Perception of Group Synchronization Error in Remote Learning: Dependencies of Voice and Video Contents in One-Way Communication

This paper examines dependencies of voice and video contents on human perception of group (or inter-destination) synchronization error in remote learning by Quality of Experience (QoE) assessment. In our assessment, we use two videos and three voices (two voices for one video and one voice for the other video). We also investigate influences of silence periods in the voices and temporal relations between the voices and videos (called the tightly-coupled and loosely-coupled contents here). The voices are spoken by a teacher according to the videos. Each subject as a student assesses the group synchronization quality by watching each lecture video and the corresponding explanation voice, and then the subject answers whether he/she perceives the group synchronization error or not. As a result, assessment results illustrate that silence periods mitigate the perception rate of the error, and we can also find that we can more easily perceive the error for tightly-coupled contents than loosely-coupled ones.

Comparison of the Perception of English Learning Between Ethnic Group Students and Han Students

This paper has analyzed the discrepancies of the perception of English learning between ethnic students and Han studens in a trilingual language context.The research results will be expected to broaden our understanding of the ethnic group students in the minority regions,and to provide some empirical references and implications for teachers.

The impact of nurses’organizational commitment on their perceptions of the work environment:Strong mediating effect of the psychological contract

Objective:The objective is to assess the direct and indirect effects of nurses’organizational commitment(OC)on their work environment perceptions(WEP)and the role of the psychological contr act(PC).Methods:A cross‑sectional quantitative study of 3047 registered nurses in four Chinese hospitals was conducted.The Essentials of Magnetism II(Chinese version),OC,and PC scales were used in the study,and the structural equation modeling was used to assess the connections among variables.Results:The results showed that OC was positively correlated with WEP(r=0.561,P<0.001),and PC was negatively correlated with the WEP(r=−0.717,P<0.001),and OC(r=−0.739,P<0.001).Nurses’PC played a strong mediating role between OC and WEP,accounting for 87.64%of the total effect.Besides,PC played an important role in creating a healthy work environment.Conclusions:The exploration of the relationships among WEP,PC,and OC provides new insights for hospital managers to build a better work environment for nurses,which is conducive to maintaining a stable nurse team and providing high‑quality nursing services for patients.

Mobile Based Learning and Examination: Students and Instructors Perceptions from Different Arab Countries

The online education market is expanding both globally and locally;Arab countries are paying special attention to the growth of this sector. Reports showed that the e-learning market arrived at $27.1 billion in the year 2009 and is expected to surpass $49.6 billion by the year 2014. This paper presents and surveys the perception of students and instructors regarding mobile learning and mobile examination system in some Arab countries. Many universities in the Arab world are under progress in the implementation of this new technology and many have already implemented it. Strong tools are required to improve e-learning system of education. This research supports the transition of education from conventional methods to m-learning and m-exam systems. The purpose of this research is to study the perception of both instructors and students regarding mobile learning and mobile examination systems. The introduction of such systems to the educational process requires people involved to have basic technical skills and to be aware of the benefits of such systems. Results showed different perspectives from three countries;also showed that online examination systems could be very helpful, but many factors should be considered and they should be implemented carefully to guarantee the successful adoption, fairness and reliability.

Spatial Design Strategies for Community Parks Based on Environmental Perception

By applying environmental perception theories, spatial configurations of community parks were analyzed, and spatial design strategies meeting perceptual psychology of users were proposed to integrate the community park environment into daily life of local residents, and create a harmonious and vital living environment.

Geospatiality of climate change perceptions on coastal regions:A systematic bibliometric analysis

Climate change requires joint actions between government and local actors.Understanding the perception of people and communities is critical for designing climate change adaptation strategies.Those most affected by climate change are populations in coastal regions that face extreme weather events and sea-level increases.In this article,geospatial perception of climate change is identified,and the research parameters are quantified.In addition to investigating the correlations of hotspots on the topic of climate change perception with a focus on coastal communities,Natural Language Processing(NLP)was used to examine the research interactions.A total of 27,138 articles sources from Google Scholar and Scopus were analyzed.A systematic method was used for data processing combining bibliometric analysis and machine learning.Publication trends were analyzed in English,Spanish and Portuguese.Publications in English(87%)were selected for network and data mining analysis.Most of the research was conducted in the USA,followed by India and China.The main research methods were identified through correlation networks.In many cases,social studies of perception are related to climatic methods and vegetation analysis supported by GIS.The analysis of keywords identified ten research topics:adaptation,risk,community,local,impact,livelihood,farmer,household,strategy,and variability.“Adaptation”is in the core of the correlation network of all keywords.The interdisciplinary analysis between social and environmental factors,suggest improvements are needed for research in this field.A single method cannot address understanding of a phenomenon as complicated as the socio-environmental.This study provides valuable information for future research by clarifying the current context of perception work carried out in the coastal regions;and identifying the tools best suited for carrying out this type of research.

Perceptions of Reducing HIV-Preventive Behaviors among Men Who Have Sex with Men Living with HIV in Japan

Sexual health and behavior among HIV-positive men who have sex with men (MSM) have attracted attention in Japan and elsewhere. It has been reported that perceptions about sex are one factor leading to a reduction in HIV-preventive behaviors. This study investigated types of perceptions, termed self-talk, which allow HIV-positive Japanese MSM to permit themselves to participate in unprotected anal intercourse (UAI). A package of internet surveys for MSM including 20 items assessing self-talk on UAI and condom usage in anal intercourse was administered in 2014. Data from 479 HIV-positive Japanese MSM were analyzed. Exploratory factor analysis was conducted to reveal the factor structure of the self-talk. In addition, using the Kruskal-Wallis test, we examined the relationship between the types of self-talk and the tendency to have UAI. Factor analysis of 20 items assessing self-talk on UAI produced four dimensions: “Diversion/Desire for Stimulation,” “Optimism/Defiant Attitude,” “Denial of Concern of Transmitting,” and “Concern about Relationships.” The score of the subscale “Diversion/Desire for Stimulation” was significantly higher than the other three subscales. It was shown that there was a tendency for the self-talk assessed to be associated with the UAI frequency. The types of perceptions permitting UAI and the psychological stress of being an HIV-positive MSM in Japan were discussed. This study was the first to reveal the factorial structure of perceptions in reducing HIV-preventive behaviors among HIV-positive MSM in Japan. We found positive associations between certain types of self-talk and risky sexual behaviors. We provided recommendations for psychosocial support and HIV risk-reduction intervention for HIV-positive MSM.

Pilot study:Nursing students'perceptions of the environment in two different clinical models

Purpose:This pilot study aimed to assess the reliability and validity of a modified Dundee Ready Educational Environment Measure(m-DREEM)tool used to evaluate the effects of different pedagogical approaches in a clinical learning environment on nursing students'learning perceptions.Methods:A sample consisting of 130 nursing students in two different models of clinical education was surveyed.Results:This pilot study demonstrated that m-DREEM yields a high internal consistency.This tool can be used to evaluate nursing students'perceptions of their clinical learning environment on the basis of five sub-scales:students'learning perceptions,facilitators,academic self-perception,atmosphere,social self-perception,and mentorship.Conclusion:A definitive and inferential relationship between sub-scales and clinical models,namely,block and non-block dispersed models,could not be determined because of the small sample size of the block clinical model.Hence,further research should be performed.

Perception of Nursing and Midwifery Trainees towards Clinical Environment at Cape Coast in the Central Region of Ghana

Purpose: The purpose of this study was to investigate the perception of students’ nurses in the nurses training colleges towards clinical environment. Methodology: A cross-sectional survey approach was used. Nursing and Midwifery trainees at Cape Coast were the respondents. Simple random sampling was used to select 605 respondents for the study. Descriptive and inferential statistics were employed to analyze the data. Results: The majority of the respondents were female, Christians, singled and attended Cape Coast Nursing and Midwifery Training College (CCNMTC). The staff were helpful, friendly and considerate. There were repetition of student’s tasks in every shift but new and different ways of teaching were used. The students had positive perception of clinical learning environment. There were statistically significant differences in perception towards clinical learning environment among students based on academic class (levels). Conclusion: It was recommended that the staff nurses should assign students with varied task depending on their level.

An Edge Visual Incremental Perception Framework Based on Deep Semi-supervised Learning for Monitoring Power Transmission Lines

In recent years,several efforts have been made to develop power transmission line abnormal target detection models based on edge devices.Typically,updates to these models rely on participation of the cloud,which means that network resource shortages can lead to update failures,followed by unsatisfactory recognition and detection performance in practical use.To address this problem,this article proposes an edge visual incremental perception framework,based on deep semisupervised learning,for monitoring power transmission lines.After generation of the initial model using a small amount of labeled data,models trained using this framework can update themselves based on unlabeled data.A teacher-student joint training strategy,a data augmentation strategy,and a model updating strategy are also designed and adopted to improve the performance of the models trained with this framework.The proposed framework is then examined with various transmission line datasets with 1%,2%,5%,and 10%labeled data.General performance enhancement is thus confirmed against traditional supervised learning strategies.With the 10%labeled data training set,the recognition accuracy of the model is improved to exceed 80%,meeting the practical needs of power system operation,and thus clearly validating the effectiveness of the framework.