Low Level Of Intelligence Research Articles

The intelligent selenium-enriched tea withering control system

This paper addresses the low level of intelligence in tea processing equipment in Enshi Prefecture by designing an intelligent withering control system based on the STMicroelectronics 32-bit Microcontroller (STM32). This control system can achieve real-time monitoring of the withering environment and automate the control of heating and ventilation dehumidification modules. By integrating IoT technology, relevant users can view the tea production process via mobile devices, enabling intelligent and remote production operations. Application results show that the system operates stably, accurately measures temperature and humidity in the withering environment, and achieves a control precision of % through a fuzzy control algorithm. It effectively meets the needs of tea processing in Enshi Prefecture. The system not only optimizes traditional processing workflows, enhancing processing efficiency and tea quality, but also provides new technological means for tea processing enterprises, contributing to the development and upgrading of the local tea industry.

EFFORTS TO IMPROVE SOCIAL EMOTIONAL INTELLIGENCE THROUGH PLANTING ACTIVITIES FOR CHILDREN AGED 5-6 YEARS AT PGRI SRIKANDI BALAK KINDERGARTEN, SONGGON DISTRICT, BANYUWANGI IN THE 2023/2024 ACADEMIC YEAR

This study aims to improve the social emotional intelligence of children aged 5-6 years through farming activities with a focus on developing effective and enjoyable alternative learning methods. The problems underlying this study are the low level of children's social emotional intelligence, the limited variety of learning methods that can integrate social emotional aspects with practical activities, and the less than optimal use of planting activities as a learning medium in schools. Through the implementation of planting activities, this study attempts to provide solutions to these problems by creating direct learning experiences that can stimulate children's social emotional development optimally. This study uses the Classroom Action Research (CAR) methodology which is carried out in two cycles, where each cycle consists of the planning, implementation, observation, and reflection stages. The subjects of the study were children aged 5-6 years at PGRI Srikandi Balak Kindergarten, totaling 15 children. The data collection technique used structured observation with observation sheets, documentation, and interviews. The data were analyzed using qualitative and quantitative descriptive analysis techniques. Based on the research and discussion that has been carried out, farming has proven to be effective in improving social emotional intelligence in children aged 5-6 years at PGRI Srikandi Balak Kindergarten

A multimodal expert system for the intelligent monitoring and maintenance of transformers enhanced by multimodal language large model fine‐tuning and digital twins

AbstractThe development of multimodal large models and digital twin technology is set to revolutionise the methods of intelligent monitoring and maintenance for transformers. To address the issues of low intelligence level, single application mode, and poor human–machine collaboration in traditional transformer monitoring and maintenance methods, an intelligent monitoring and maintenance digital twin multimodal expert reasoning system, fine‐tuned on visual language‐based large models, is proposed. The paper explores the modes and methods for implementing intelligent monitoring and maintenance of transformers based on multimodal data, large models, and digital twin technology. A multimodal language large model (MLLM) framework for intelligent transformer maintenance, grounded on the Large Language and Vision Assistant model, has been designed. To enable large models to understand and reason about image annotation areas, an adaptive grid‐based positional information processor has been designed. To facilitate the compatibility and learning of large models with transformer Dissolved Gas Analysis data, a heterogeneous modality converter based on the Gram–Schmidt angular field has been developed. For the unified modelling and management of multimodal reasoning and comprehensive resource integration in human–machine dialogue, a central linker based on an identity resolution asset management shell has been designed. Subsequently, a visual‐language multimodal dataset for transformer monitoring and maintenance was constructed. Finally, by fine‐tuning parameters, a multimodal expert reasoning system for intelligent transformer monitoring and maintenance was developed. This system not only achieves real‐time monitoring of the transformer's operational status but also generates maintenance strategies intelligently based on operational conditions. The expert system possesses robust human–machine dialogue capabilities and reasoning generation abilities. This research provides a reference for the deep integration of MLLM and digital twin in industrial scenarios, particularly in the application modes of intelligent operation and maintenance for transformers.

Leveraging Cultural Intelligence in Pre-Service Teachers: An Imperative for Socially Just Pedagogies

“The number one predictor of success in today’s borderless world is cultural intelligence.” – David Livermore. To live and work in harmony in today’s globalized society, like emotional intelligence, cultural intelligence is a conversation that cannot be ignored. Cultural intelligence is the difference between individuals who succeed in today’s multicultural, globalized world and those who fail. Teacher education institutions must be agents and catalysts for cultural intelligence. Since teachers continue to work with an increasingly diverse student population, the integration of culturally responsive curricula and culturally responsive teaching practices into teacher education is imperative to ensure socially just pedagogies. The purpose of this research is to analyse the level of cultural intelligence of pre-service teachers through a critical pedagogical lens, to identify gaps in the different dimensions of cultural intelligence and to make recommendations about how teacher education curricula may be differentiated to improve the level of cultural intelligence thus nurturing socially just pedagogies. A qualitative strategy was employed for this study. The target population of this study constituted preservice teachers. Data was collected using both a survey-type questionnaire and semi-structured interviews. The findings of the study based on the survey indicated that the majority of the respondents rated themselves as having high levels of cultural intelligence; however, individual interviews suggested that students displayed a relatively low level of cultural intelligence. It is therefore recommended that teacher education institutions reimagine their curricula to ensure that cultural intelligence is deliberately embedded into the design of their programme offerings to ensure the promotion of socially just pedagogies.

Gender Characteristics of the Psychoemotional Status of Students with Different Levels of Academic Performance

The study of the health of student youth remains one of the important areas in scientific research, since the task of higher educational institutions is not only to instill professional skills, but also to form a full-fledged personality. Neuropsychiatric adaptation is one of the keys, so it is important to identify the factors that influence its formation. 120 students of the medical faculty of the Kyrgyz-Russian Slavic University were examined: 1) young men (n=30) and 2) girls (n=30) with high academic performance; 3) young men (n=30) and 4) girls (n=30) with low academic performance. We evaluated emotional intelligence according to the N. Hall scale, aggression according to L. G. Pochebut, the level of depression according to the Tsung test, emotional orientation according to B. I. Dodonov, level of self-esteem, style of behavior in conflict. Young men with high academic performance compared to similar girls are more likely to have a low level of emotional intelligence, high self-esteem, face mild depression, show more physical aggression, and have lower scores in communicative and aesthetic emotional orientation. Among those with low academic performance, girls, in comparison with young men, manage their own emotions worse, do not have high self-esteem, and have higher scores in communicative, hedonic and aesthetic emotional orientation. Sex differences in the psycho-emotional sphere are more clearly manifested among students with a high level of academic performance. The study of gender features in more detail assesses the psycho-emotional state of students, makes it possible to predict possible violations and timely carry out preventive or correctional measures, and, therefore, increase the success of adaptation.

The Health Effects of Modern Gaming Devices and Phones n the Child's Mind and Intellectual Level

This study included 200 children between the ages of 2-12 years, who use mobile phones for multiple purposes. This study was conducted by distributing questionnaires to parents, and their answers were approved for their children. This study showed that the age group >=5 years had the highest percentage, reaching 60% of children. The study sample was mostly females (girls) at 54%, while the remaining section was males (boys) at 46%. This study showed that children in an urban environment use mobile phones more than children who live in a rural environment, where their percentage reached (66%). The study showed that the educational level of the parents of these children was good, as most of them held a university degree (38.0%, 36. %) for both the mother and the father, respectively. The study showed a significant relationship P = 0.0001 between parents’ occupation and Children used mobile phones and gaming devices, and the percentage was higher if both parents worked (42% and 78%) for the mother and father, respectively. The study showed that most children belong to a middle-income family environment. The study showed that the percentage of children who use modern phones and gaming devices reached (96%), while those who do not use mobile phones (4%). Most of the families had more than two phones at home (58%), and (78%) of the children used the phone throughout the day, and (48%) of them felt happy as a result of using the mobile phone, and (52%) of the study sample used the mobile phone for a period of time. (two years or more). The study showed that 56% of children suffer from lack of concentration and a low level of intelligence. According to the results of the study, 54% of them suffer from problems in their fingers as a result of frequent use of toys, and 70% of children suffer from dry eyes and a constant feeling of sleepiness as a result of radiation emitted from toys and devices. 93% of them suffer from anxiety and depression. The study also showed that (72%) of the children were addicted to the phone and the phone caused them headaches. It is clear from this study that children’s use of the phone causes them many problems, including psychological and physical ones. Therefore, parents must keep their children away from mobile phones as much as possible, and if they have to, allow them to use them. There must be a specific time for using phones, and the harmful effects of phones must be explained to them, whether in the short or long term.

Development and evaluation of a self-adaptable planting unit for an autonomous planting process of field vegetables

Today, the number of solutions for automated processes in agriculture is growing rapidly. This is primarily driven by the lack of available and affordable labour, pricing pressures, and regulatory requirements. Vegetable production in particular has a lot of potential for automation, as many process steps, such as planting, are performed partly manually. Fully automated systems for the planting process are characterized by their big size, which is only suitable for large farms. At the same time, these planters typically have a low level of intelligence, which is essential for a fully autonomous planting process performed by autonomous vehicles or robots. The following work therefore deals with the development and construction of a prototype for vegetable planting via a robotic platform. This prototype is designed to meet the requirements of a conventional planter and carry out the planting process automatically using a robotic platform. To ensure a robust robotic planting process, an AI-based control system has been integrated that can detect and adjust the planting quality. For this reason, the planting unit was designed to allow dynamic changes in working depth and furrow width. By dynamically controlling these planting parameters, there is potential for a more sustainable planting process with lower energy requirements. A number of evaluations have been carried out to validate the described characteristics of the prototype planting unit.

Upaya Pencegahan Stunting Melalui Kegiatan Gasting (Garahan Bebas Stunting) di Desa Garahan, Kecamatan Silo

Stunting is a chronic nutritional problem that occurs worldwide caused by suboptimal nutritional intake from pregnancy to 24 months or 2 years of age. Stunting in childhood is associated with delays in motor development and lower intelligence levels. Symptoms shown by stunting sufferers include a child's height that is shorter than children of the same age, the child looks smaller for his age, low body weight, and delayed bone growth (Laska et al., 2024). Stunting has short-term and long-term impacts. In the short term, stunting causes depression of immune function, metabolic changes, decreased motor development, low cognitive values, and low academic values (Widjayatri et al., 2020). Meanwhile, the long-term impacts of children with stunting include, when they grow up, they will be at risk of obesity, coronary heart disease, hypertension, osteoporosis, decreased work performance, and productivity (Dekasari & Gunawan, 2024)

The Conditional Effects of the Transformational Leadership Behaviors on Leaders’ Emotional Exhaustion: Roles of Deep Acting and Emotional Intelligence

This study used the model of emotional labor as emotion regulation to examine the indirect effect of transformational leadership behaviors on leaders’ emotional exhaustion through leaders’ deep acting. Further, it is hypothesized that this indirect effect varies depending on the level of leaders’ emotional intelligence. The sample included 230 leader-follower dyads working in public sector organizations in Pakistan. The results of the regression analysis showed that deep acting behaviors mediated the relationship between transformational leadership and emotional exhaustion, but only for leaders with low levels of emotional intelligence. These findings highlight the importance and relevance of emotional intelligence in managing emotions and maintaining emotional well-being among transformational leaders in the public sector. We discuss the theoretical and practical implications of our study in the manuscript.

Building information modeling-based production process optimization model

In the current manufacturing process of enterprises, there are some problems such as poor predictability and low level of intelligence, which lead to high product error rate and affect production efficiency. Therefore, this paper introduces the building information model in the field of engineering construction, and proposes a big data predictive manufacturing model based on the building information model, which divides the production process into production service system, resource planning system, production control system and after-sales service system, and realizes the overall process optimization of planning-production-sales on the basis of the close combination of each system and virtual model system. Finally, the application of error correction process in production line is verified from an empirical point of view, which provides a reference method and path for reducing production error rate and improving work efficiency.

Emotionally Tailored Web-Based Instruction: A Catalyst for Improved Performance Across Emotional Intelligence Levels

This study examined the impact of emotionally sound web-based teaching on the learners' achievement regarding English grammar. Emotions play a crucial role in education, influencing students' ability to process information and learn effectively. The education system is not giving importance and attention to emotional intelligence education in schools and colleges. They often stress on IQ and not on EI. This study aims to improve English grammar performance by using emotionally sound web-based instruction, addressing the impact of emotions on learning outcomes. The sample of the population for this study was 183 Form Three students selected from a secondary school in Peninsular Malaysia. The research instruments included Pre-test, Post-test, and Trait Emotional Intelligence — Short Form (TEIQue-SF). The research design for this study is Quasi-Experimental with pre-test and post-test designs. In this study, the independent variable would be the instructional strategies, under two types of treatment conditions as well (Web-based Instruction with Emotional Element (WBIe) and Web-based Instruction without Emotional Element (WBIwe), and a moderator variable (level of emotional intelligence)) in two levels of emotional intelligence (high and low level of emotional intelligence). A simple 2×2 factorial design was employed here. The results indicated that students in WBIe were performing better rather than in WBIwe in terms of student success in learning English Grammar and between students of emotional intelligence with a high level on each of the WBIe and WBIwe types had the same score. It was found that the emotional intelligence level has a role in the WBIe and the WBIwe performance of the students. The emotional intelligence of high EI students scored higher on English grammar than the EI of low EI students. The results of this study established a link between sound web-based instruction and instruction; it also serves as a call for an instructional designer to understand clearly, why and how emotions affect learning. They can use this to determine how to harness their emotions toward the most effective kind of learning.

Analysis of Students' Mathematical Communication Skills Based on Verbal-Linguistic Intelligence in Solving Linear Program Problems

Students' ability to communicate, especially in learning mathematics, is still relatively low. Communication skills, especially in solving story problems, are more or less influenced by the intelligence of each student, one of which is verbal linguistic intelligence. This research is a qualitative research with a phenomenological approach. The subjects in this study were grade XI students at Bina Dharma 2 Bandung High School in the 2022/2023 school year totaling 22 students. The sampling technique used Purposefully select. The results showed that students with high linguistic verbal intelligence level were able to answer 5 indicators of mathematical communication ability, students with medium linguistic verbal intelligence level were able to answer 3 indicators of mathematical communication ability, and students with low linguistic verbal intelligence level were able to answer 1-2 indicators of mathematical communication ability.

Research on the identification method based on energy distribution of adaptive WPD for railway tunnel lining void

ABSTRACT As the main disease of railway tunnels, void disease affects the safe operation of railways. The traditional detection technology recognition void relies on the intuitive characteristics of the signal, there are still problems such as poor void edge recognition capability and low intelligence level. To solve this problem, this study used Comsol software to establish a sound-solid coupling finite element model of the tunnel, extracted the acoustic signals of voids under various conditions, analysed the acoustic signal characteristics under different conditions and proposed the acoustic sensitive frequency band of tunnel lining void. The test model of Partial tunnel lining is established by the method of layering pouring. The wavelet packet algorithm is improved by the maximum cross correlation coefficient, the optimal wavelet basis decomposition algorithm is proposed. The layer number of the wavelet packet decomposition (WPD) algorithm was calculated based on the sensitive frequency band and the energy distribution of the sub-signal is obtained. Then, the energy distribution of the sensitive frequency band is used to estimate the void boundary. The experimental results show that the acoustic frequency band of the tunnel void mainly distributes in the range of 0–10,000 Hz and the sensitive frequency band of the void concentrated around 0–3000 Hz. According to the sampling frequency and the sensitive frequency band of the void, the sub-signal energy distribution of each layer is obtained. The energy distribution of sub-signal 1 has strong void boundary recognition ability. The research results will be beneficial to the damage detection and state assessment of tunnel lining.

The double-edged sword of ambidextrous leadership for leaders themselves: A conservation of resources perspective

BACKGROUND: Many recent studies have proposed that leadership behaviors are attached to social exchange processes that influence not only their followers but also leaders themselves. Existing research has not adequately addressed how ambidextrous leadership affects the leaders themselves. OBJECTIVE: This study aims to investigate the extent to which ambidextrous leadership has benefits and costs for leaders’ work engagement. Additionally, it attempts to explore the moderating role of leaders’ emotional intelligence in the conceptual model. METHODS: Data were collected from a two-phase online survey of 153 managers in China. We tested our conceptual model using path analysis and bootstrapping methods based on Mplus. RESULTS: Results show that ambidextrous leadership is positively associated with leaders’ positive affect. Moreover, ambidextrous leadership has a positive indirect effect on leaders’ work engagement through positive affect. However, ambidextrous leadership also has devastating effects on leaders’ work engagement through ego depletion for leaders with low levels of emotional intelligence. CONCLUSIONS: Drawing on COR theory, we demonstrate that ambidextrous leadership can act as a double-edged sword for leaders. Specifically, ambidextrous leadership may cause different behavioral responses (promoting vs. inhibiting work engagement) via two distinct pathways (positive affect vs. ego depletion). Meanwhile, the extent to which this dark side appears depends on the characteristics of the manager. By integrating both the negative and positive sides of ambidextrous leadership, we hope the present paper sparks future research on the impact of leaders on themselves.

Aplikasi Digital untuk Mendukung Penanggulangan Stunting dalam Lingkup Kegiatan Academic Health System (AHS)

Stunting is a national health problem and has become an issue and concern for all parties. Stunting is chronic malnutrition characterized by a short body. Stunting sufferers are generally vulnerable to disease, have low intelligence levels, and have low productivity. The government's efforts to prevent stunting include making Presidential Regulation llllllll72 of 2021 concerning the acceleration of stunting reduction. Academic Health System (AHS) Faculty of Medicine, Public Health, and Nursing (FK-KMK) Universitas Gadjah Mada participates in supporting the stunting reduction program. Stunting is one of the priority program themes of the Academic Health System. The purpose of writing this article is to explain the development of eLib FKKMK as an application to integrate stunting information sources to support the activities of the AHS FK-KMK UGM network. eLib FKKMK is a digital platform application containing a collection of books, audiobooks, and videos with stunting. eLib FKKMK can be accessed using the latest Android, PC, or iOS technology. Users within the AHS network can easily use eLib FKKMK—the addition of stunting content increases in the number of books, audiobooks, and videos. eLib FKKMK can provide a source of stunting information that can reduce stunting in the AHS FKKMK UGM network hospital. Socialization or promotion activities for library users at the AHS FK-KMK UGM network 7 hospitals should always be carried out so that many can use the eLib.

Youths’s Emotional Intelligence at Softenmind Psychological Support Company, Ho Chi Minh City

Emotional intelligence is the intelligence that demonstrates a correct understanding of emotions and the ability to handle one's own emotions and to empathize and share with others.Emotional intelligence is significant in the development process of young people, because they are an important human resource for the country in the future. Research results on the level and expression of emotional intelligence of young people at Softenmind company, Ho Chi Minh City using the emotional intelligence scale of D.V. Lyusin. Research results show that 43.1% of young people have a very low level of emotional intelligence, only 3.9% have a very high level. From the above results, the study proposes a number of measures to improve Emotional intelligence for young people at Softenmind company.

ОСОБЛИВОСТІ РОЗВИТКУ СОЦІАЛЬНОГО ТА ЕМОЦІЙНОГО ІНТЕЛЕКТУ У СТУДЕНТІВ МИСТЕЦЬКИХ СПЕЦІАЛЬНОСТЕЙ НА ЗАНЯТТЯХ З ІНОЗЕМНОЇ МОВИ

The article deals with the development of social and emotional intelligence in art students at foreign language classes. Social and emotional intelligence is important for various spheres of a person’s life, as they increase their professional and personal success and improve their social interaction. For art professionals, a high level of social and emotional intelligence helps to improve communication with the audience as well as to feel more deeply social and emotional phenomena that need to be reflected through art. The article analyzes the features of social and emotional intelligence as psychological phenomena, their common and distinctive features. By comparing the structural components of social and emotional intelligence, their close relationship and the importance of complex development for the individual are proven. The authors made a theoretical analysis of the definition and understanding of social and emotional intelligence in modern psychology. An empirical study was conducted to investigate the level of emotional intelligence in art students of the National Academy of Fine Arts and Architecture (NAFAA), Kyiv. The research method was Hall test of emotional intelligence, which measures the general level of emotional intelligence, as well as its level according to scales. The results of the empirical study show that the students have mostly a low level of emotional intelligence. The article attempts to provide recommendations how to foster emotional intelligence development at foreign language classes which take into account students’ psychological characteristics and future profession. The practical results of the study can be applied at foreign language classes at art universities in order to increase students’ social and emotional intelligence. Key words: social intelligence, emotional intelligence, foreign language classes, methods of developing emotional intelligence, empathic listening, empathic discussion, holistic learning.

Crafting Optimal Digital Learning Experiences: An Inquiry into Emotion-Infused Web-Based Instructional Design and Its Influence on Student Satisfaction

This study was designed to investigate the effectiveness of emotionally infused web-based instruction on students’ satisfaction in learning English grammar. The sample population for this study involved 185 Form Three students from a secondary school of Peninsular Malaysia. Data were collected using the End-User Computing Satisfaction (EUSC). The research design for this study is a Quasi-experimental design. This study consists of one independent variable (instructional strategies) with two types of treatment condition (Web-based Instruction with Emotional Element (WBIe) and Web-based Instruction without Emotional Element (WBIwe) and one moderator variable (level of emotional intelligence) with two levels (high and low level of emotional intelligence). A 2𝑥2 factorial design was used. The results revealed that students in WBIe performed better than students in WBIwe based on satisfaction level, students in both WBIe and WBIwe have a similar score. The results further indicated that emotional intelligence level affects students’ satisfaction in WBIe and WBIwe. Students with high levels of emotional intelligence had a higher score than those with low levels of emotional intelligence in terms of satisfaction level. Given the findings of this study confirming the instructional impact of emotionally sound web-based instruction, it is important for an instructional designer to clearly understand how emotions influence the learning process. This helps to figure out how to channel their emotions to make them learn more effectively.

The impact of emotional intelligence on coping strategies for psychological trauma

The aim is to determine the impact of emotional intelligence on coping strategies for psychological trauma. Methods: The research was conducted using survey and testing based on diagnostic methods: Primary Care PTSD Screen, WCQ, EQ-test. Statistical methods were used: ANOVA, descriptive statistics, regression analysis. Two hundred seventy internally displaced persons (IDPs) aged 23 to 48 participated in the study. The study found that subjects with PTSD signs have low emotional intelligence (M=32.31±14.88) and confrontation (M=12.68±4.08), distancing (M=12.74±4.62), avoidance (M=13.85±4.97) coping strategies. Regression analysis established that a low level of emotional intelligence promotes confrontation (β=-1.926±0.296) and distancing (β=-1.198±0.386) coping, and a high level of emotional intelligence develops a problem-solving strategy (β=1.277±0.298). The results make it possible to expand the range of providing psychological assistance in overcoming psychological trauma through the formation of emotional intelligence. This will ensure the assimilation of constructive coping as elements of conscious overcoming of life's difficulties. Increasing the level of emotional intelligence and adaptive behavior strategies will help reduce feelings of stress due to trauma. The obtained results open opportunities to study the impact of emotional intelligence on individuals who experienced traumatic events. Studying external and internal factors contributes to emotional intelligence development. Identifying individual and socio-cultural aspects of coping strategies enhances psychological support methods. Understanding emotional intelligence's influence helps design programs to develop it and overcome psychological trauma, including telepsychology.

Design of intelligent behavior analysis software based on speaker identity classification algorithm in microgrid mode

AbstractDigital technology still has a low level of intelligence in the microgrid mode of teaching behavior analysis, resulting in the traditional manual observation and recording stage still being used for speaker identity classification, and the efficiency of teaching behavior analysis is also low. In response to the above issues, the research is based on the teacher‐student analysis method and proposes a dual clustering algorithm based on the general background model Gaussian mixture model for speaker identity classification, thereby realizing the development and design of intelligent behavior analysis software. The research results indicate that the average recall rate of behavior transition points in the classroom teaching discourse corpus of the intelligent behavior analysis software is 89.03%, which is better than traditional analysis methods. Therefore, the intelligent behavior analysis software constructed by the dual clustering algorithm has high effectiveness and practicality. The research proposes a method model and implements intelligent visualization for classroom teaching behavior analysis, improving the efficiency of analyzing current microgrid teaching behavior.