Genius Research Articles

Highly robust and soft biohybrid mechanoluminescence for optical signaling and illumination

Biohybrid is a newly emerging and promising approach to construct soft robotics and soft machines with novel functions, high energy efficiency, great adaptivity and intelligence. Despite many unique advantages of biohybrid systems, it is well known that most biohybrid systems have a relatively short lifetime, require complex fabrication process, and only remain functional with careful maintenance. Herein, we introduce a simple method to create a highly robust and power-free soft biohybrid mechanoluminescence, by encapsulating dinoflagellates, bioluminescent unicellular marine algae, into soft elastomeric chambers. The dinoflagellates retain their intrinsic bioluminescence, which is a near-instantaneous light response to mechanical forces. We demonstrate the robustness of various geometries of biohybrid mechanoluminescent devices, as well as potential applications such as visualizing external mechanical perturbations, deformation-induced illumination, and optical signaling in a dark environment. Our biohybrid mechanoluminescent devices are ultra-sensitive with fast response time and can maintain their light emission capability for weeks without special maintenance.

An Investigation to Identify Optimal Setup for Automated Assessment of Dysarthric Intelligibility using Deep Learning Technologies

Recent advances in deep learning have provided an opportunity to improve and automate dysarthria intelligibility assessment, offering a cost-effective, accessible, and less subjective way to assess dysarthric speakers. However, reviewing previous literature in the area determines that the generalization of results on new dysarthric patients was not measured properly or incomplete among the previous studies that yielded very high accuracies due to the gaps in the adopted evaluation methodologies. This is of particular importance as any practical and clinical application of intelligibility assessment approaches must reliably generalize on new patients; otherwise, the clinicians cannot accept the assessment results provided by the system deploying the approach. In this paper, after these gaps are explained, we report on our extensive investigation to propose a deep learning–based dysarthric intelligibility assessment optimal setup. Then, we explain different evaluation strategies that were applied to thoroughly verify how the optimal setup performs with new speakers and across different classes of speech intelligibility. Finally, a comparative study was conducted, benchmarking the performance of our proposed optimal setup against the state of the art by adopting similar strategies previous studies employed. Results indicate an average of 78.2% classification accuracy for unforeseen low intelligibility speakers, 40.6% for moderate intelligibility speakers, and 40.4% for high intelligibility speakers. Furthermore, we noticed a high variance of classification accuracies among individual speakers. Finally, our proposed optimal setup delivered an average of 97.19% classification accuracy when adopting a similar evaluation strategy used by the previous studies.

GAMBARAN KECERDASAN EMOSIONAL SISWA KELAS VII SMP NEGERI 9 CIMAHI SELAMA PEMBELAJARAN DARING

The current situation in Indonesia is the covid 19 pandemic makes the government (ministry of education) apply online learning or distance learning (PJJ) regulations. Which we don't realize this affects the emotional intelligence of students. The purpose of this study is to find out the picture of emotional intelligence of students of class VII SMPN 9 Cimahi during online learning. This research uses qualitative descriptive methods. Data collection techniques use interviews, interviews and documentation. Based on the results of research in SMPN 9 Cimahi there are two categories of emotional intelligence students, measurements of low emotional intelligence category and high emotional intelligence are measured by the results of emotional intelligence questionnaire scores that have previously been given by BK teachers, students with high emotional intelligence students are able to learn emotions and express in positive things and students with low emotional intelligence focused on two indicators that have not been able to facilitate attention to the task being done and do not have the ability to communicate with others.Keywords: Emotional Intelligence, Class VII Students, Online Learning.Â

Detection and proof of cybercrime

Analysis findings in the field of cybercrime in the world and Ukraine as well prove a steady trend towards its growth, which causes a systematic increase in the number of victims affected by illegal malpractice of cyber criminals. This negative phenomenon violates not only citizens’ interests guaranteed by law, but also poses a threat to the national security in many countries. At the same time, international order is undermined and sustainable interstate relations are violated. Rapid information system development, speedy progress of computer software and hardware prompt numerous crimes in this field. Cybercrimes are committed by trained persons with a high intelligence level and professional knowledge in the computer technology sphere. In accordance with foregoing the issue of law approximation and the procedure of identification and recording of the mentioned illegal activity is essential to eradicate cybercrime. Considering the fact that the category of “proof” is fundamental in the theory of criminal procedure, we build in general-theoretical approaches in the basics of the analysis of the procedure of cybercrimes identification and recording to the mentioned activity in general.

Relationship between Emotional Intelligence and Academic Achievement of Secondary School Students in Ogbomoso Metropolis, Nigeria

This study investigated the relationship between emotional intelligence and academic achievement of secondary students in Ogbomoso metropolis. A descriptive survey and ex-post facto research were adopted for the study. A sample of two hundred and fifty junior secondary school one (JSS3) students was randomly selected from five schools, two private and three public schools within Ogbomoso metropolis. Fifty respondents were purposively selected from each of the five schools. A self – designed instrument was used to collect information on emotional intelligence while scores of each of the students in the junior secondary school certificate examination results in English Language, Mathematics and Basic Science was collected to ascertain their academic achievement. A research question was raised while three hypotheses were tested at 0.05 level of significance. Regression analysis, t-test, Pearson Product Moment Correlation were used to analyse the hypotheses raised. The result indicated that the majority of the students had high emotional intelligence. It was also found that emotional intelligence significantly contributed to students’ academic achievement. The result also showed that significant difference existed in favour of students with high emotional intelligence. Likewise, the result showed that there was a significant relationship between emotional intelligence and academic achievement among the students. It was therefore concluded that the students had high emotional intelligence and that emotional intelligence contributed to students’ academic achievement. it was recommended that school administrators and educational stakeholders should regularly organize seminars and workshops to train teachers on the importance of emotional intelligence in a bid to enhance better academic achievement among students in the secondary schools. Keyword s : Emotional intelligence, academic achievement, relationship, self-esteem, self-awareness. DOI: 10.7176/JEP/13-21-09 Publication date: June 30 th 2022

Pengaruh Kecerdasan Emosional Siwa MTsN 1 Kota Ternate Terhadap Prestasi Akademik

The current process towards the goals of education in Indonesia is stillrunning unbalanced because in reality education currently only focuses on one cognitive aspect, namely IQ (intelligent Quotion). Even though IQ is not the only factor that greatly influences student achievement. In the learning process there is a change in the abilities possessed by students in various fields, and that ability is obtained because of the learning effort. Children who master their emotions become more confident, optimistic, have passion and ideals, have the ability to adapt and at the same time they will perform better in school who are able to understand, as well as master the problems that exist Based on the results of research conducted on 50 students MTsN Ternate City shows that the emotional intelligence of students is generally at a value of 34-63% with high emotional intelligence qualifications. This is also in line with the number of students as many as 25 students have an emotional intelligence interval of 50-63%, in the high category, 19 students have an emotional intelligence interval between 35-49% in the medium category and 6 people have an emotional intelligence interval between 10-34 % with low category.

TTS - VLSP 2021: Development of Smartcall Vietnamese Text-to-Speech

Recent advances in deep learning facilitate the development of end-to-end Vietnamese text-to-speech (TTS) systems with high intelligibility and naturalness in the presence of a clean training corpus. Given a rich source of audio recording data on the Internet, TTS has excellent potential for growth if it can take advantage of this data source. However, the quality of these data is often not sufficient for training TTS systems, e.g., noisy audio. In this paper, we propose an approach that preprocesses noisy found data on the Internet and trains a high-quality TTS model on the processed data. The VLSP-provided training data was thoroughly preprocessed using 1) voice activity detection, 2) automatic speech recognition-based prosodic punctuation insertion, and 3) Spleeter, source separation tool, for separating voice from background music. Moreover, we utilize a state-of-the-art TTS system that takes advantage of the Conditional Variational Autoencoder with the Adversarial Learning model. Our experiment showed that the proposed TTS system trained on the preprocessed data achieved a good result on the provided noisy dataset.

외식 종사원의 직무환경변화가 직무불안정성, 프리젠티즘, 이직의도에 미치는 영향

The purpose of this study was to analyze the structural relationships that the changes in the job environment have on job insecurity, presenteeism, and turnover intention, and additionally to verify the moderating effect of emotional intelligence. A total of 262 Questionnaires were used for this study. This study found that: 1) The changes in job organization had a significant positive influence on job instability in The change in the job environment; 2) Job instability had a significant positive influence on presenteeism and turnover intention. The effect of presentism on turnover intention was not significant; 3) As a result of analyzing the moderating effect of emotional intelligence, the difference between the two groups was shown in the path of job instability on turnover intention. In the case of the group with high emotional intelligence, it was found that the changes in job organization had a significant positive effect on job instability, presentism, and turnover intention. This results show that when food service companies introduce new job skills and knowledges, strategies to build organizational culture through open communication and improve organizational productivity by motivating employees are important to reduce job insecurity and presentism.

INFLUENCE OF GOOGLE CLASSROOM-BASED LEARNING MEDIA AND INTERPERSONAL INTELLIGENCE ON SCIENCE LITERACY IN THE ERA OF THE COVID-19 PANDEMIC

This study aims to: (1) analyze the differences in students' science literacy taught with Google Classroom online learning media compared to students taught with Zoom meeting online learning media; (2) analyze the differences in science literacy of students who have high interpersonal intelligence compared to students who have low interpersonal intelligence; and (3) analyze the interaction between online learning media and interpersonal intelligence on students' science literacy. The sample in this study was 54 students of Class V of The State Elementary School 165735 Tebing Tinggi City. Data collection in this study through interpersonal intelligence questionnaires and student science literacy tests. Hypothesis testing was carried out with the Two Way Anova test. The results showed that: (1) The science literacy of students taught with Google Classroom online learning media was higher than the online learning media Zoom Meeting (Fcount = 5.654 and the sig. value of 0.021 < 0.05); (2) The science literacy of students who have high interpersonal intelligence is higher than that of students who have low interpersonal intelligence (Fcount = 3,840 and sig. 0.046 < 0.05); and (3) There is an interaction between learning media and interpersonal intelligence in influencing students' science literacy (Fcount = 6.217 and sig. value 0.016 < 0.05).

INFLUENCE OF EXPERIENTIAL LEARNING APPROACHES AND INTERPERSONAL INTELLIGENCE ON STUDENT PPKN LEARNING OUTCOMES

This study aims to: (1) analyze the differences in student KDP learning outcomes taught with an experiential learning approach compared to students taught with a direct instruction approach; (2) analyze the differences in KDP learning outcomes of students who have high interpersonal intelligence compared to students who have low interpersonal intelligence; and (3) analyze the interaction between experiential learning approaches and interpersonal intelligence in influencing student KDP learning outcomes in elementary schools. The sample in this study was 50 students of Class V of the State Elementary School 056587 Garbage Beach, Bahorok District. Data collection in this study through interpersonal intelligence questionnaires and ppkn learning outcomes tests. Hypothesis testing was carried out with the Two Way Anova test. The results showed that: (1) The learning outcomes of KDP students taught with an experiential learning approach were higher than those of the direct instruction approach (Fcount = 6,157 and sig. 0.017 < 0.05); (2) The learning outcomes of KDP students who have high interpersonal intelligence are higher than students who have low interpersonal intelligence (Fcount = 5.098 and sig. value 0.029 < 0.05); and (3) There is an interaction between learning approaches and interpersonal intelligence in influencing student KDP learning outcomes (Fcount = 4.285 and sig. 0.016 < 0.44).

Analisis kesulitan belajar peserta didik kelas IVB SDN 1 Gabusan pada materi FPB & KPK di masa pandemi Covid-19 berdasarkan kecerdasan logis matematis

<p><strong>Abstract</strong>. This research aims to describe the types and causes of learning difficulties for class IVB students at SDN 1 Gabusan on FPB and KPK materials during the Covid-19 pandemic based on logical mathematical intelligence. This research uses a qualitative descriptive research method with a case study approach. Determination of the subject in the research using purposive sampling technique. This research uses test data collection techniques and task-based interviews. The data validity technique used in this research is time triangulation. Data analysis techniques include identifying all data, reducing data, compiling data in units, validating data to making conclusions. Based on the results of the research, it can be concluded that the type of learning difficulty of students with high logical mathematical intelligence is difficulty in using correct mathematical procedures. The types of learning difficulties of students with moderate mathematical logical intelligence are difficulties in determining the right solution strategy and difficulties in using correct mathematical procedures. The types of learning difficulties of students with low logical mathematical intelligence are difficulties in understanding the given problem, difficulty in determining the right solution strategy, and difficulty in using correct mathematical procedures. The causes of learning difficulties for students with high logical mathematical intelligence are the limited learning time during the limited face-to-face implementation during the Covid-19 pandemic and the way teachers teach using the lecture learning method. The causes of learning difficulties for students with moderate mathematical logical intelligence are the limited learning time during the limited face-to-face implementation during the Covid-19 pandemic, the way teachers teach using the lecture learning method, and low interest in learning. The causes of learning difficulties in students with low logical mathematical intelligence are the limited learning time during the limited face-to-face implementation during the Covid-19 pandemic, the way teachers teach using the lecture learning method, low interest in learning, and an unsupportive family environment for learning. The level of logical mathematical intelligence of students is also one of the factors that affect learning difficulties.</p><strong>Keywords:</strong> learning difficulties, FPB & KPK, and mathematical logical intelligence

Sound emission in vocals

All educating activities of a teacher of a higher educational institution in the field of vocals are primarily aimed at the formation of the student's professional competencies, the totality of which will contribute to the fulfillment of the creative potential of the individual, the development of high musical intelligence, spiritual culture, as well as artistic and singing skills and abilities. The article focuses on such an important pedagogical problem in the framework of education in the area of "Vocal Art" as sound emission.

Abnormal Data Monitoring and Analysis Based on Data Mining and Neural Network

In order to solve the problems of low efficiency, high consumption of human and time resources, and low degree of intelligence in the current financial abnormal data detection system in computerized accounting, this paper proposes a financial abnormal data monitoring and analysis algorithm based on data mining and neural network. The analysis algorithm uses the method of data mining to process the original financial data, remove invalid information, retain valuable information, and standardize the data to solve the problem of large labor and time consumption. Then, neural network-related algorithms are used to identify the anomalies of standardized data, so as to realize the intelligent early warning of financial abnormal data. Compared with the financial audit algorithm in traditional accounting computerization, this algorithm has the advantages of high efficiency, low energy consumption, and high intelligence. The test results show that the classification accuracy of the proposed algorithm for abnormal data can reach more than 90%. It is proved that the algorithm is effective and improves the efficiency at the same time. The classification error rate of the classifier designed in this paper is 22.5%, and the accuracy rate is 77.5%. Both estimated and actual values represent the number of times, and there is no physical unit. The experiment shows that the main reason for the error rate is the delay of the inspection results of financial abnormalities. Through the example analysis, it can be concluded that the proposed intelligent analysis method of financial abnormal data based on deep learning has good effectiveness and accuracy and has a certain practical value.

The Correlation between Children's Intelligence Quotient and Their Behavior in Dental Setting: A Cross-Sectional Study.

Children with high intelligence quotient (IQ) are more capable of managing adverse situations. These children may show more cooperation to receive dental treatments. This study assessed the effect of intelligence quotient (IQ) of 5-10-year-old children on their cooperation during dental treatments. Eighty children without previous dental history and in need of pulpotomy and stainless steel crowns in one tooth were selected. A written consent was obtained from the parents, and after the children's IQ was measured by Raven intelligence test, the treatments were performed and their cooperation level was determined using Frankl's behavior rating scale with rating 1 to rating 4 (definitely negative, negative, positive, and definitely positive). In this cross-sectional study, the relationship between IQ and cooperation level was analyzed by one-way ANOVA test while the effect of age and gender on IQ and cooperation level was studied by ordinal regression test. Out of the total samples, 5% had definitely negative, 16.2% had negative, 56.3% had positive, and 22.5% had definitely positive level of cooperation according to Frankl criteria. There was a significant and positive correlation between IQ and level of cooperation (r = 0.87, p < 0.001). According to the results of the linear regression analysis, to examine the effect of age, sex, and IQ variables on cooperation, children's age (p value = 0.003) had a positive effect on their cooperation, but gender had no effect on predicting IQ and cooperation level (p value = 0.557). Regarding significant relationship between IQ scores and cooperation level, dentists can predict cooperation in pediatric patients to deliver better treatments and increase patients' satisfaction.

ARGUMENTASI FILSAFAT KENABIAN AL-FARABI DAN IBNU SINA

In Islamic intellectual discourse, the concept of the Prophet received various responses from Islamic philosophers. This article examines the arguments of Islamic philosophy regarding prophethood, in this case the arguments of Al-Farabi and Ibn Sina. Using relevant literature related to the two philosophers, this article clarifies the position of Al-Farabi and Ibn Sina's views which affirm their defense of the existence of prophethood. In addition, it is emphasized that prophetic consciousness is a high-level position of mankind. Prophethood is the highest intelligence because it can pick up on heaven's signals and divine messages. Humans who have the highest intellectual as a prophet to be the interpreter of God's will to humans and the universe.

Unraveling hybrid exchange: virtual tipping on live-streaming platforms

PurposeThe purpose of this research is to explore the nature of virtual tipping in live game streaming from the perspective of tippers.Design/methodology/approachThis qualitative research involved six naturalistic group interviews with 27 young adult game streaming tippers in China.FindingsThe research revealed a typology of four virtual tipping exchanges – perfunctory exchange, transactional (commodity) exchange, relational (gift) exchange and hybrid exchange. The most notable finding is hybrid exchange, a synergistic hybrid of transaction and gift-giving.Practical implicationsThe authors recommend that both streamers and streaming platforms acknowledge and accommodate both transactional and relational tipping motivations. The authors also recommend platforms to recruit skillful streamers with high emotional intelligence to better convert perfunctory tippers into tippers who tip more generously.Originality/valueThe result of hybrid exchange suggests going beyond the traditional commodity vs gift dichotomy to examine the potential market-gift complementary in a single exchange in the sharing economy.

Emotional intelligence stimulates nurses´ decent caring behavior in nursing practice in Bukittinggi City, Indonesia

Introduction: Qualified nursing services can be manifested through the provision of nursing care based on nurses´ caring behavior. Therefore, a nurse’s caring behavior can affect patient satisfaction which can contribute to a nurse's attitudes, and the specific baseline is emotional intelligence. As one of the clinical indicators for nursing care quality, it is associated directly with patient’s satisfaction towards nurses´ caring behavior, because it is conceptualized and measurable. Objective: To identify the association of nurses’ emotional intelligence and their caring behavior throughout nursing practice hospitalization in Ambun Suri ward Dr. Achmad Mochtar Hospital, Bukittinggi, Indonesia. Methods: This is descriptive-analytic research with a cross-sectional approach involving 69 nurses. The instruments for this study were self-report questionnaires of professional caring behavior items. Data were categorized to specific criteria and measured with descriptive statistics. Results: The statistical analysis revealed 44.9% of nurses had a deficient caring attitude while high emotional intelligence reached out of 53.7% during nurses’ caring behavior. A significant emotional intelligence association with caring behavior was found (p=0.001). Conclusion: The study findings may be recommended to the hospital ward headship throughout the functions of direction and supervision strive for nurses´ emotional intelligence development, including of nurses’ touching and listening abilities, explaining and talking intonation, technical and expression amongst therapeutic processes, environmental management, and family involvement. Those should be improved from various nurses' emotional intelligence educational workshops and training for decent caring behavior enhancement.

Impact of Motivation, Learning Strategy, and Intelligence Quotient on Medical Students' Grades

Background: Medical students were faced with a problem-based learning (PBL) curriculum that required them to think critically. PBL requires a student to have the ability to think logically and collect integrated information, which is reflected in their IQ scores. Learning and motivation strategies were factors that could contribute to their academic achievement. High intelligence does not ensure academic achievement, and students need to recognize the learning strategies that work best for them. This study aimed to investigate the association of medical students' motivation for learning and their intelligence quotient with their course grades in their first semester. Methods: This study was an observational study of first-semester undergraduate medical students with 134 respondents. Intelligenz Struktur Test (IST) was used to assess IQ and the Motivated Strategies for Learning Questionnaire (MSLQ) form was used to measure students' academic motivation and their use of different learning strategies. Course grades were collected from their biomedical system course in the first semester. Linear regression analysis was used to determine the association between IQ scores and average biomedical grades. Results and Discussion: Linear regression analysis showed that IQ might play a role in determining biomedical system course grades both in the crude and adjusted analysis (p-value &lt;0.001). None of the investigated motivation and learning scales modified the association between IQ scores and average biomedical grades. Conclusion: Intelligence can predict students' academic performance in their first semester courses. Motivation for learning did not differ between different IQ groups and did not modify the association between intelligence and academic achievement.

The role of fluid intelligence in creativity: The case of bio-inspired design

Improving creativity by learning bio-inspired design (BID) requires fluid intelligence to deeper comprehend biological phenomena. Biological phenomena abstraction is a primary part of BID to comprehend structures and principles of the phenomena. However, direct research on the role of fluid intelligence in the understanding stage in BID processes is relatively scarce. We observed forty-one design students’ pictorial and textual representations of the abstract structures and principles in a BID task. Participants’ fluid intelligence was assessed using Raven's Standard Progressive Matrices Plus (SPM+). At the same time, their biological phenomena abstraction in pictorial and textual representations were rated based on a five-point scale of form, behavior, and principle. Results showed that fluid intelligence had a limited effect on biological phenomena abstraction. Participants with low fluid intelligence had a disadvantage on biological phenomena abstraction while participants with medium and high fluid intelligence had equally good performance. The results suggested that medium fluid intelligence was the minimal requirement of biological phenomena abstraction for male participants. We argue that future work should consider multiple intelligence in biological phenomena abstraction of BID.

ANALYSIS OF PROBLEM SOLVING SKILLS OF STUDENTS IN MATHEMATICS BASED ON SPATIAL INTELLIGENCE IN GRADE VIII

The study aims at discovering the description of problem-solving skills of students in Math based on spatial intelligence in grade VIII at SMPN 3 Pallangga. This type of study is qualitative research with a descriptive approach. The research subjects were 6 students who were divided into 3 groups, namely 2 subjects with high spatial skills, 2 subjects with moderate spatial skills, and 2 subjects with low spatial skills in grade VIIIC at SMPN 3 Pallangga. The research instruments were the researcher herself as the main instrument and a test of spatial intelligence, the test of problem-solving skills, a guided interview, and a validation sheet as the supporting instruments. The data collecting method employed a written test and interview. The data analysis was conducted by employing data condensation, data presentation, and conclusion drawing. The data validity employed a source triangulation. Through the qualitative data analysis, the researcher discovered that the Math problem-solving skills of students with high spatial intelligence understood the problem by using spatial visualization skills, spatial perception, and mental rotation, as well as able to solve the problem by fulfilling Polya's four steps correctly. The Math problem-solving skills of students with moderate spatial intelligence understood the problems by using spatial visualization skills and spatial perception and were able to solve the problem by fulfilling Polya's two steps only, as well as being unable to plan the solution and rechecking. The Math problem-solving skills of students with low spatial intelligence still have difficulties using their spatial skills so they are unable to solve the problem given correctly.