Intelligent Instrument Research Articles

Developing a simulated intelligent instrument to measure user behavior toward cybersecurity policies

Institutions struggle to protect themselves from threats and cybercrime. Therefore, they devote much attention to improving information security infrastructures. Users’ behaviors were explored via a traditional questionnaire research instrument in a data collocate process. The questionnaire explores users’ behaviors theoretically, so the respondents’ answers to the questionnaire are insufficiently reliable, and the responses might not reflect actual behavior based on the human bias when facing theoretical problems. This study aims to solve unreliable responses to the questionnaire by developing a simulated intelligent instrument to measure users’ behaviors toward cybersecurity policies in an experimental study using gamification.

The impact and causal directions for the associations between diagnosis of ADHD, socioeconomic status, and intelligence by use of a bi-directional two-sample Mendelian randomization design

BackgroundPrevious studies have reported associations between attention-deficit/hyperactivity disorder (ADHD) and lower socioeconomic status and intelligence. We aimed to evaluate the causal directions and strengths for these associations by use of a bi-directional two-sample Mendelian randomization (MR) design.MethodsWe used summary-level data from the largest available genome-wide association studies (GWAS) to identify genetic instruments for ADHD, intelligence, and markers of socioeconomic status including the Townsend deprivation index, household income, and educational attainment. Effect estimates from individual genetic variants were combined using inverse-variance weighted regression.ResultsA genetically predicted one standard deviation (SD) increment in the Townsend deprivation index conferred an odds ratio (OR) of 5.29 (95% confidence interval (CI) 1.89–14.76) for an ADHD diagnosis (p<0.001). A genetically predicted one SD higher education level conferred an OR of 0.30 (95% CI 0.25–0.37) (p<0.001), and a genetically predicted one SD higher family income provided an OR of 0.35 (95% CI 0.25–0.49; p<0.001). The associations remained after adjustment for intelligence whereas the lower odds of an ADHD diagnosis with higher intelligence did not persist after adjustment for liability to greater educational attainment (adjusted OR 1.03, 95% CI 0.68–1.56; p=0.87). The MR analysis of the effect of ADHD on socioeconomic markers found that genetic liability to ADHD was statistically associated with each of them (p<0.001) but not intelligence. However, the average change in the socioeconomic markers per doubling of the prevalence of ADHD corresponded only to 0.05–0.06 SD changes.ConclusionsOur results indicate that an ADHD diagnosis may be a direct and strong intelligence-independent consequence of socioeconomic related factors, whereas ADHD appears to lead only to modestly lowered socioeconomic status. Low intelligence seems not to be a major independent cause or consequence of ADHD.

THE RELATIONSHIP OF FATHER'S INVOLVEMENT IN PARENTING AND INTERPERSONAL INTELLIGENCE OF YOUNG CHILDREN

The involvement of fathers in parenting is an interesting discussion today. Many research show positive impacts of fathers' interactions in parenting on child development. The reality in Jakarta is that fathers work full time all day, and many fathers still think that child management is the mother's duty. This study aimed to see how the relationship between the father's interaction in parenting and the child's interpersonal intelligence. This study used a sample of 115 fathers, and children were collected using a simple random sampling technique. The research method used is correlational. The instrument was a questionnaire compiled independently and distributed to the father to measure the father's interactions in parenting in the form of a Likert scale, interpersonal intelligence measured through a multiple intelligence instrument (Jamaris, 2018). Based on data analysis using Pearson's current product trials, the researcher found that trust (rxy) was 0, 509 with p = 0.000 (p &lt;0.001). Thus, it can be stated that the higher the father is involved in parenting, the better the level of development of the child's interpersonal intelligence. The role of fathers in parenting is significant in child development, especially in developing multiple intelligence possessed by children.

THE RELATIONSHIP OF FATHER'S INVOLVEMENT IN PARENTING AND INTERPERSONAL INTELLIGENCE OF YOUNG CHILDREN

The involvement of fathers in parenting is an interesting discussion today. Many research show positive impacts of fathers' interactions in parenting on child development. The reality in Jakarta is that fathers work full time all day, and many fathers still think that child management is the mother's duty. This study aimed to see how the relationship between the father's interaction in parenting and the child's interpersonal intelligence. This study used a sample of 115 fathers, and children were collected using a simple random sampling technique. The research method used is correlational. The instrument was a questionnaire compiled independently and distributed to the father to measure the father's interactions in parenting in the form of a Likert scale, interpersonal intelligence measured through a multiple intelligence instrument (Jamaris, 2018). Based on data analysis using Pearson's current product trials, the researcher found that trust (rxy) was 0, 509 with p = 0.000 (p &lt;0.001). Thus, it can be stated that the higher the father is involved in parenting, the better the level of development of the child's interpersonal intelligence. The role of fathers in parenting is significant in child development, especially in developing multiple intelligence possessed by children.

Validity and Reliability of the Teacher's Emotional Intelligence Instrument Based on Surah Yusuf through the Application of Rasch Measurement Model

Validity and Reliability of the Teacher's Emotional Intelligence Instrument Based on Surah Yusuf through the Application of Rasch Measurement Model

Hubungan Kecerdasan Emosional Dengan Resiliensi Pada Wanita Pasca Bencana Banjir

A disaster can have a wide range of effects, both physically and mentally. When tragedy strikes, women are particularly vulnerable and their resilience decreases. Someone who is in good psychological health normally has good interpersonal interactions, which influences emotional intelligence. The aim of this study is to discover a connection between emotional intelligence and resilience in women experiencing a flood disaster. This study was a correlational research with cross sectional design. This study was conducted out in Sirau Kemranjen, Banyumas Regency. This study’s sampling method was simple random sampling, which yielded 87 respondents. This study utilized an emotional intelligence and resilience instrument adapted from previous studies. Somers’d test was used to interpret the data in this analysis.

The Effects of Class Environment on Multiple Intelligence

Every child is gifted by different intelligence. The intelligence possessed by children could experience a change due to their environment. Thus, this research was conducted to find out the effects of the environment on multiple intelligence of children. The sample of this study were 44 students of Islamic School (MI) of Al-Inayah Pasar Rebo, Jakarta Timur, Indonesia. The data were collected twice; in year 2018, when these students were on their first grade and in the year 2019, when they were on their second grade, through the instrument of multiple intelligence, comprising 8 intelligence, and among them were linguistic, logical-mathematical, kinesthetic, spatial, musical, interpersonal, intrapersonal, and naturalist. This instrument had been confirmed as valid and reliable. The results of the research found that there were certain intelligence differences on kinesthetic, spatial, interpersonal, and musical, caused by the environment of the class. This classroom environment had several components, i.e. teachers, learning methods, facilities, and seats arrangement.

Hypertensive eye disease

Hypertensive eye disease includes a spectrum of pathological changes, the most well known being hypertensive retinopathy. Other commonly involved parts of the eye in hypertension include the choroid and optic nerve, sometimes referred to as hypertensive choroidopathy and hypertensive optic neuropathy. Together, hypertensive eye disease develops in response to acute and/or chronic elevation of blood pressure. Major advances in research over the past three decades have greatly enhanced our understanding of the epidemiology, systemic associations and clinical implications of hypertensive eye disease, particularly hypertensive retinopathy. Traditionally diagnosed via a clinical funduscopic examination, but increasingly documented on digital retinal fundus photographs, hypertensive retinopathy has long been considered a marker of systemic target organ damage (for example, kidney disease) elsewhere in the body. Epidemiological studies indicate that hypertensive retinopathy signs are commonly seen in the general adult population, are associated with subclinical measures of vascular disease and predict risk of incident clinical cardiovascular events. New technologies, including development of non-invasive optical coherence tomography angiography, artificial intelligence and mobile ocular imaging instruments, have allowed further assessment and understanding of the ocular manifestations of hypertension and increase the potential that ocular imaging could be used for hypertension management and cardiovascular risk stratification.

Intelligent Survey Technologies and Applications for Urban Forests in Taiwan

Background: Roadside trees play an important role in urban landscaping. They are not only related to urban scenes, traffic safety, quality of life, and health, but also closely related to ecology and cultural development. Thus, effective, intelligent management of an area of urban roadside trees will become an important topic. Methods: This paper evaluates survey technologies and management techniques utilized in many cities of Taiwan, including surveys of roadside trees, risk assessment, and precious protected trees. A roadside tree management database was built using a geographic information system (GIS). Results: The number of urban forest trees exceeded 100,000 in our surveys, and many types of intelligent survey instruments were used to survey the trees, including real-time kinematic (RTK) and non-destructive detection instruments, radio frequency identification (RFID), in-vehicle light detection and ranging (LiDAR), and panoramic streetscape systems. A tree management system can be constructed by introducing the digitized information, which is based on a basic survey of trees. The survey stage primarily relies on manual surveys, in-vehicle LiDAR, and RFID, and then a visualized database retrieval system will be proposed using GIS. This system can be utilized for the health and foundation management of trees and the whole spatial planning of urban forests, among others. Conclusion: This research attempts to summarize the trends in intelligent management of urban forests using our practical experiences with the goal that it will be a reference for the future intelligent construction of urban forests.

Validating a Novel Emotional Intelligence Instrument for Resident Physicians

To construct and validate a scale of emotional intelligence (EI) for the medical field, n = 80 resident physicians responded to a 69-item self-report measure during the pilot phase of development of the Scale of Emotional Functioning: Medicine (SEF:MED). Based on multiple-phase item and structural analyses, a final 36-item version was created based on data from n = 321 respondent residents. Initially exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) supported the expected three-factor solution as did additional CFA from a second sample of n = 113 participants. Internal consistency reliabilities obtained from the original n = 321 residents for the three SEF:MED subscales of Interpersonal Skills (IS), Emotional Awareness (EA), and Emotional Management (EM) were 0.81, 0.82, and 0.84, respectively. Alphas for the second CFA data set were 0.89, 0.87, and 0.88 for IS, EM, and EA, respectively. In addition, the SEF:MED was validated by comparing it to related measures (i.e., the Profile of Emotional Competence (PEC) and the Maslach Burnout Inventory-Human Services Survey for Medical Personnel [MBI-HSS (MP)]); Correlation coefficients between the Total EI composite on the SEF:MED and the PEC global scales ranged from r = 0.64 to 0.68. Finally, correlation coefficients from the Total EI composite on the SEF:MED significantly related to the MBI-HSS (MP) Emotional Exhaustion (EE), Depersonalization (DP), and Personal Accomplishment (PA) scales (r = -0.50, -0.44, and 0.52, respectively). The SEF:MED may provide useful data to physicians and other medical professionals as they consider their own well-being and how it may affect care of their patients.

The impact of digital technologies on the activities of law professionals and authorized mediators

The digitalization of the public system and, implicitly, of the justice system have been accelerated by the appearance of the Covid-19 virus. Legal professionals: judges, prosecutors, lawyers, legal advisers, bailiffs, mediators, etc., took full advantage of this facility offered by the digitalization tool. According to the agreement on the text of the Council’s conclusions draft regarding “Access to justice - capitalizing on the opportunities offered by digitalization” considering the reunion on 7th October 2020, the use of artificial intelligence tools should not affect the decision-making power of judges, nor the judicial independence. A legal decision must always be carried out by a human being and cannot be delegated to an artificial intelligence instrument”. We consider, thus, that the person who interprets a text of law must have a balanced approach, so as not to exceed the limits, and the law must be interpreted both in the letter and in its spirit. In order to be able to interpret the law in its spirit, that person must possess a true civic education integrating a multitude of disciplines. The evolution of current education tends to rather create individuals lacking a real civic education, fact which would lead, implicitly, to the training of individuals unable to pay due attention to the spirit of a legal act. Disadvantaged in this regard will be lawyers and mediators, in general, as they have to deal with situations involving a high dose of subjectivism.

Emotional Intelligence &amp; ICTs for Women and Equality

Gender equality is a fundamental human right and is essential for the existence of peaceful societies, with human resources that are fully utilized and sustainable development. Emotional Intelligence is not gender biased and it is an integral key to successful personal and working life. In (Drigas &amp; Papoutsi, 2021) there was an attempt to construct a reliable and valid measurement instrument of emotional intelligence with 81 items, based on the theoretical nine-layer pyramid model of emotional intelligence. The sample was consisted of 520 teachers (129 males and 391 females) from primary and secondary school grade and the data was collected with the Nine Layer Pyramid Model Questionnaire for Emotional Intelligence. Among other results we examined gender differences in emotional intelligence. The results revealed some differences between the two genders on emotional intelligence with women scoring higher on overall emotional intelligence. This article also provides an overview of the prevailing emotional intelligence status of both sexes as it emerges through research, beliefs about emotions between women and men, and suggestions for avoiding stereotypes and proper interventions for raising emotional both men and women. Finally, a reference is made to technology in its various forms, including Information and Communication Technology (ICT), which is also associated with emotional intelligence and has great potential to empower women worldwide and promote gender equality

Review on Panoramic Imaging and Its Applications in Scene Understanding

With the rapid development of high-speed communication and artificial intelligence technologies, human perception of real-world scenes is no longer limited to the use of small Field of View (FoV) and low-dimensional scene detection devices. Panoramic imaging emerges as the next generation of innovative intelligent instruments for environmental perception and measurement. However, while satisfying the need for large-FoV photographic imaging, panoramic imaging instruments are expected to have high resolution, no blind area, miniaturization, and multidimensional intelligent perception, and can be combined with artificial intelligence methods towards the next generation of intelligent instruments, enabling deeper understanding and more holistic perception of 360° real-world surrounding environments. Fortunately, recent advances in freeform surfaces, thin-plate optics, and metasurfaces provide innovative approaches to address human perception of the environment, offering promising ideas beyond conventional optical imaging. In this review, we begin with introducing the basic principles of panoramic imaging systems, and then describe the architectures, features, and functions of various panoramic imaging systems. Afterwards, we discuss in detail the broad application prospects and great design potential of freeform surfaces, thin-plate optics, and metasurfaces in panoramic imaging. We then provide a detailed analysis on how these techniques can help enhance the performance of panoramic imaging systems. We further offer a detailed analysis of applications of panoramic imaging in scene understanding for autonomous driving and robotics, spanning panoramic semantic image segmentation, panoramic depth estimation, panoramic visual localization, and so on. Finally, we cast a perspective on future potential and research directions for panoramic imaging instruments.

Experimental research on locations of the average wind speed point of anemometer station in rectangular roadway based on LDA

Aiming at the characteristics of wind flow pulsation and randomness that traditional contact instantaneous wind method fails to embody, the non-contact turbulence test means of Laser Doppler Anemometer (LDA) was used to test wind speed of the wind station roadway section. Experimental results show that under the Reynolds number 2.3×104~6.5×104, even if in the steady flow of wind station, the instantaneous wind speed distribution of roadway section presents the distribution of irregular wavy lines due to random fluctuation characteristics of airflow. The wind speed distribution accords with exponential function forms, and the average wind speed location away from the edge of the wall of the vertical distance and the length ratio of about 0.17, 0.15 0.14, 0.11 and 0.08 based on statistical average of turbulence with the statistical results of regularity, and introducing the dimensionless analysis method. Research shows that the traditional principle and method for measuring wind can only meet the needs of the general engineering, but it cannot reflect underground wind turbulence pulsation characteristics. However, the experimental test results based on turbulence average test results have provided the basis to determine the location of the average wind speed point of anemometer station, and also provided basic parameters for the research and development of the underground intelligent wind instruments.

Emotional Intelligence Instruments Used in Health Care Education.

This article aims to describe the content and the psychometric properties of emotional intelligence instruments used in health care education and to examine the relationship between emotional intelligence and study success. Six electronic databases were searched in spring 2020. Two researchers participated in the selection and quality assessment of the articles. Ultimately, 26 articles were included in the review. From the included articles, 18 emotional intelligence instruments were identified. The content of the instruments focused on perception of emotions, understanding of emotions, emotional expression, managing emotions, using emotions, and social awareness and relations. In most of the studies, emotional intelligence was related to study success. The assessment of several important components of emotional intelligence was identified. Comprehensive assessment using the emotional intelligence total score seemed to be the best predictor of study success. [J Nurs Educ. 2022;61(1):6-11.].

Advanced expansion joints monitoring system based on IoT and intelligent development

Expansion joints are important elements for buildings and bridges. They allow preventing structural disorders due to temperature fluctuations, and in many cases they’re used also to avoid interferences between two structures. Besides their functional importance, expansion joints are one of the essential elements when it comes to construction health monitoring, since their malfunction can be very revealing of structural instability. In that matter, this article will feature a model of an intelligent instrument developed to monitor expansion joints. The instrument was designed and manufactured based on IoT and intelligent programming and development, which allowed to integrate automatic compensation of the effect of temperature fluctuation on the joint width, and detect any abnormal behaviour of expansion joints. Thereafter, several laboratory tests were made on metallic and concrete coupons in order to verify the functionality and the accuracy of the instrument and to calibrate the system for static and dynamic measurements. The results show that the developed instrument allows to monitor with a precision of 0,4 mm the width of expansion joints and to detect any abnormal behaviour and thus prospectively reveal any potential risk of structural instability.

Intelligent control of electric automation instrumentation based on blockchain

AbstractWith the development of society and the continuous improvement of residents' living standards, residents have higher and higher requirements for the technical level of power system. This paper mainly studies how to apply intelligent technology to the research of instrument electrical control. Nowadays, the traditional electrical instruments cannot meet the needs of the public, so the research on intelligent instruments is the most important problem at present. This article uses the RSA public key encryption algorithm based on the public blockchain. In the experimental results of this article, big data shows that from 2016 to mid‐2017, there were 50 merchants using non‐smart technologies in electrified dashboards in 2016. There are 40 merchants using smart technology in electrified dashboards, which is lower than the number of non‐smart control technologies. However, in 2017, the number of merchants using non‐intelligent control was 35, and by November 2017, it was 120, a decrease of 5% from 2016. The number of merchants using smart technology in electrified dashboards is increasing every month, from 45 in January 2016 to 285 in November 2017, an increase of 13% in the same year. This shows that intelligent control is more and more widely used in electrical automation instrument panels. Therefore, the research of a more intelligent control system of electrical automation instruments is a problem that has attracted much attention today.

Study on the inhibition of inflammation by the cyclooxygenase-2 (COX-2)/prostaglandin E2 (PGE2) pathway and the promotion of wound healing of oral ulcer of Yangyin Shengji powder after chemotherapy.

To investigate the treatment effect and mechanism of Yangyin Shengji powder in oral ulcer after chemotherapy. The experiments were externally administered. The threshold of pain reflex (Tr) was measured 30, 60, and 120 min after the last relative substances administration to the plantar and abdomen of mice by intelligent hot plate instrument. The toe swelling degree of mice was calculated 1, 3, and 5 h after inflammation. The levels of superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), malondialdehyde (MDA), and prostaglandin E2 (PGE2) were determined by enzyme-linked immunosorbent assay (ELISA), and the relative expression levels of cyclooxygenase-1 (COX-1) and COX-2 were determined by reverse transcription polymerase chain reaction (RT-PCR) and Western blot. Two hours after the last spraying treatment, the ulcer area of mice was measured. Tumor necrosis factor α (TNF-α), interleukin-6 (IL-6), epidermal growth factor (EGF), and epidermal growth factor receptor (EGFR) were detected by ELISA. The degree of oral mucosal injury was observed by hematoxylin and eosin (HE) staining. Compared with positive control group, the Tr value of Yangyin Shengji powder group was lower at 30 and 60 min, and the Tr value was higher at 120 min. Yangyin Shengji powder decreased the swelling degree of toes 1, 3, and 5 h after inflammation, and the SOD and GSH-Px levels in the swelling tissue of toes were significantly increased. The MDA, PGE2, COX-1 and COX-2 levels were significantly decreased. The oral mucosa structure of mice in the Yangyin Shengji powder group was relatively intact and a few inflammatory cells were infiltrated. Compared with normal group, the levels of TNF-α and IL-6 in the model group were increased, while the levels of EGF and EGFR were decreased (P<0.01). Compared with the model group, ulcer area, TNF-α, and IL-6 levels were decreased in the Yangyin Shengji powder group, while EGF and EGFR levels were increased (P<0.01). Yangyin Shengji powder has anti-inflammatory and analgesic effects, is anti-oxidative stress, inhibits inflammatory response, and inhibits the COX-2/PGE2 signaling pathway, so as to alleviate local inflammation of oral ulcer in mice after chemotherapy and promote wound healing.

Development and validation of the Emotional Intelligence Test for Adolescents in a Chinese sample.

Emotional intelligence, or the ability to perceive, understand, and regulate emotions, has been identified as a protective factor for one's adaptation. Measuring emotional intelligence using performance-based approach is thought to be objective and effective. However, performance-based emotional intelligence instruments for non-Western adolescents are rarely available. To facilitate research on emotional intelligence, the present study developed and validated the emotional intelligence test for adolescents (A-EIT) using a Chinese sample. Study 1 (N = 1,536) showed that emotional intelligence consists of three subabilities (i.e., emotion perception, emotion understanding, and emotion regulation) and identified eligible items for each subtest through exploratory factor analysis (EFA). Study 2 (N = 2,568) confirmed the three-factor structure and its measurement invariance across gender and age groups by (multiple-group) confirmatory factor analyses. Both the full test and its three subtests showed acceptable internal consistencies, and their scores increased with age and showed female advantage. Also, the A-EIT scores were significantly correlated with indicators related to emotional and cognitive skills (convergent validity) and were independent of personality (discriminant validity). Additionally, higher scores on the A-EIT were related to better intrapersonal, interpersonal, and academic adaption (criterion validity), as expected. Study 3 (N = 163) provided further convergent validity evidence for each subtest by using validity tools not based on an emotional intelligence framework. Additionally, the A-EIT displayed satisfactory test-retest reliability. Generally, the A-EIT appears to be a valid and reliable instrument to assess adolescents' emotion intelligence, especially those with relatively low level. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

A New Method for Syndrome Classification of Non-Small-Cell Lung Cancer Based on Data of Tongue and Pulse with Machine Learning.

Objective To explore the data characteristics of tongue and pulse of non-small-cell lung cancer with Qi deficiency syndrome and Yin deficiency syndrome, establish syndrome classification model based on data of tongue and pulse by using machine learning methods, and evaluate the feasibility of syndrome classification based on data of tongue and pulse. Methods We collected tongue and pulse of non-small-cell lung cancer patients with Qi deficiency syndrome (n = 163), patients with Yin deficiency syndrome (n = 174), and healthy controls (n = 185) using intelligent tongue diagnosis analysis instrument and pulse diagnosis analysis instrument, respectively. We described the characteristics and examined the correlation of data of tongue and pulse. Four machine learning methods, namely, random forest, logistic regression, support vector machine, and neural network, were used to establish the classification models based on symptom, tongue and pulse, and symptom and tongue and pulse, respectively. Results Significant difference indices of tongue diagnosis between Qi deficiency syndrome and Yin deficiency syndrome were TB-a, TB-S, TB-Cr, TC-a, TC-S, TC-Cr, perAll, and the tongue coating texture indices including TC-CON, TC-ASM, TC-MEAN, and TC-ENT. Significant difference indices of pulse diagnosis were t4 and t5. The classification performance of each model based on different datasets was as follows: tongue and pulse < symptom < symptom and tongue and pulse. The neural network model had a better classification performance for symptom and tongue and pulse datasets, with an area under the ROC curves and accuracy rate which were 0.9401 and 0.8806. Conclusions It was feasible to use tongue data and pulse data as one of the objective diagnostic basis in Qi deficiency syndrome and Yin deficiency syndrome of non-small-cell lung cancer.