bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Application of Blended Teaching Mode in the Cultivation of Talents of Higher Vocational Automotive Majors
Authors: Cui Jin
Published: June 2024

In view of the problems existing in the process of training talents of automobile majors in higher vocational colleges and universities, a hybrid teaching mode combining in-class and out-of-class, online and offline is proposed based on Tsinghua online network teaching platform. The exploration of the hybrid curriculum reform mode is carried out in four aspects, including teaching content, teaching organization form, curriculum resource construction and curriculum assessment form respectively. Through the practical application in classroom teaching, students' learning enthusiasm and initiative will be enhanced and the teaching effect of the classroom will be improved.
Exploring the Application Prospects of Mobile Learning Based on Smartphones in College Teaching
Authors: Ji Hongwei , Cui Yujun , Chen Tianwen , Shang Xiaoyong , Yao Zhongqiu , Mao Dongjin , Zou Jichen
Published: June 2024

Mobile learning is an important application of information technology in the field of education, which has attracted more and more educators' attention in recent years. Compared with traditional teaching methods, mobile learning has higher flexibility and strong characteristics of personalization and autonomy. As a carrier of mobile learning, smart phones have the characteristics of portability, networking and interactivity, and become an indispensable part of the field of mobile learning. In college teaching, teachers can use smart phones to provide students with educational resources anytime and anywhere, and stimulate students' interest and motivation in learning. However, the research on the application prospect of mobile learning in college teaching is still relatively limited, and the application of smart phones in college teaching also needs further research. Therefore, this paper aims to explore the application prospect of mobile learning based on smart phones in college teaching, in order to provide beneficial enlightenment for college teaching reform and the development of mobile learning.
Research on the Impact and Role of Digital Technology on Classroom Revolution
Authors: Zhang Hong
Published: June 2024

Digital technology has brought tremendous changes to vocational education. This article focuses on the impact and role of digital technology on various aspects such as educational ideology, teaching ecology, curriculum ideology, teaching resources, teaching models, classroom organization, and effect evaluation in the classroom revolution. It conducts in-depth research to explore the value that digital technology brings to the classroom revolution, and summarizes the positive guiding strategies and implementation strategies of digital technology for classroom revolution, leverages the positive guiding role of digital technology for classroom revolution, and assists in talent cultivation.
Application Mode and Implementation Path of Artificial Intelligence Technology in the Field of Typical Supply Chain Logistics
Authors: Li Heng , Wang Fang , Li Shuyan
Published: June 2024

Artificial intelligence is leading a new round of technological revolution and industrial transformation, and accelerating intelligence in the field of supply chain logistics is an important development trend. Firstly, the current research status of artificial intelligence technology application in the field of supply chain logistics is reviewed, and then artificial intelligence’s technical architecture is introduced. On this basis, the basic conditions for applying artificial intelligence technology in the field of supply chain logistics are analyzed. Then, this study focuses on the logistics field of typical supply chain, constructs the main application models of artificial intelligence technology in this field, formulates the application implementation path of artificial intelligence technology, proposes application implementation strategies and steps, and provides reference for enterprises to promote the intelligent development of supply chain logistics and improve supply chain management performance.
Research on the Impact of New Media Technology on Broadcasting and Hosting Profession and Creation
Authors: Wenze Yang
Published: June 2024

The rise of new media requires broadcasting and hosting professionals to improve their various skills, expression ability, thinking ability, diversified language skills, adaptability, etc. This aims to enhance the professional literacy of broadcasting and hosting personnel and keep up with the pace of development of the times. In this process, the broadcasting and hosting profession bears important educational responsibilities, and actively change to play its role. This paper combines the development and changes of the broadcasting and hosting industry, analyzes the impact of new media technology on the professional and creative aspects of broadcasting and hosting, and studies the coping methods of broadcasting and hosting practitioners.
Reflections on Regional Economic Convergence and Higher Education Funding in China
Authors: Zhao Yingxia , Zhang Yandong
Published: June 2024

The improvement of the quality of labor is a fundamental element in promoting national economic development, and the value created by high-level human capital will continue to be demonstrated in the rapid development of society. According to the relevant provisions of human capital theory, the impact of human capital on regional economic growth is mainly considered from two aspects: the "quantity" and "quality" of human capital. According to relevant empirical results, there is a strong autocorrelation between higher education investment and advanced human capital in geographical space. The direct and indirect spillovers of technological innovation effects in advanced human capital can both promote economic growth. Therefore, many educators, economists, and others view the country's financial investment in education as an endogenous variable for regional or even national economic development. In the following research, the author takes the economic convergence of the eastern, central, and western regions of China as the starting point to explore the relationship between higher education investment, human capital structure, and regional economic growth, and to study the internal relationship between higher education and regional economy.
Research on EEG Recognition Based on Deep Neural Networks with Attention Mechanism
Authors: Wang Yufeng , Fang Geng , Chen Binbin , Chen Zhengdong
Published: June 2024

Electroencephalogram(EEG) is widely applied in brain-computer interface systems. Due to its high time resolution, portability, and non-invasive characteristics, it has been applied for the rehabilitation of disabled patients. At present, deep learning has also been applied in EEG feature extraction and pattern classification. However, most EEG features in deep neural networks lack discriminative ability, which limits the representation ability of these methods. To overcome this issue, two methods were proposed, named ConvNet_S_A and ConvNet_S_CA, which are based on the backbone network Shallow ConvNet. The proposed methods combine the channel attention mechanism (SE module) and the convolutional block attention module (CBAM module) to learn discriminative EEG features, respectively. Experimental results on the public EEG datasets and self-collected EEG datasets demonstrate the effectiveness.
A Wheat Grade Identification and Bad Grain Detection System Based on EasyDL
Authors: Liu Hanruyi , Bai Yushuo , Cao Jiaxuan , Li Yinpeng , Liu Jiayue
Published: June 2024

At present, there are many problems of insufficient professional testing personnel, low testing equipment and low accurate identification. The wheat grade identification and bad grain testing system based on EasyDL will bring profound changes to the agricultural product quality testing industry. This system is implemented in the AI development platform of Baidu fly pulp EasyDL, and the innovative image recognition technology is used in wheat detection. The image features are extracted through the convolutional neural network, and the supervised learning algorithm is used for model training. Using Requests, OpenCV, Xlsx Writer third-party toolkit for data processing, it can realize the detection of seven types of wheat grains and bud gains, and the detection accuracy can reach 95.94%, and the accuracy of quantitative statistics is 98.95%.
Research on the Digital Development and Practice Path of the Grand Canal and the National Cultural Park of the Yangtze River in Wuxi
Authors: Fei Ruan , Wenjuan Chen
Published: June 2024

This article takes the section of the Grand Canal and the Yangtze River National Cultural Park in Wuxi as an example to explore the digital development and practical path. Through the analysis of its development overview, the development trajectory of Wuxi's practical measures in the digital development process of the Grand Canal and the Yangtze River National Cultural Park is outlined. Five suggestions are put forward for future practical path: overall planning, establishment of a sound policy and regulatory system; leading by technology, innovation-driven, improving protection level; activating cultural resources, creating characteristic cultural brands; strengthening talent cultivation, promoting public participation; promoting cross-border cooperation, promoting international development.
Optimization of Extraction Conditions and Design of Extraction the Technology of Lycopene from Strawberry
Authors: Jing Lv
Published: June 2024

Based on the understanding of lycopene extraction technology at home and abroad, strawberry was taken as the research object. After the fruit was grouped and treated, acetone was used as the organic solvent for strawberry pretreatment. Lycopene has the maximum absorption peak at the wavelength of 472nm, so all the following tests are carried out under this wavelength. Firstly, the single-factor experiment was used to determine the data range of each of the four single factors that were beneficial to improve the extraction amount of lycopene in strawberries in different extraction temperatures, solvent amount, extraction time, and different extraction acid-base environment. After the completion of the single-factor experiment, the central group and the experiment were designed based on the experimental results. Then combined with the response surface analysis method, the above four conditions affecting the extraction rate of lycopene in strawberries were comprehensively analyzed. The results of the single-factor experiment showed that the extraction rate of lycopene reached the maximum when the solid-liquid ratio was 4:1, the extraction temperature was 40℃, the extraction time was 40min, and pH=5. The single factor of solvent removal was determined according to the effect of the single-factor experiment. The effects of extraction temperature, time, and pH value on the extraction efficiency of lycopene were investigated by response surface analysis with 3 factors and 3 levels, and the extraction process was optimized with absorbance as the corresponding value. Combined with response surface analysis, the extraction rate of lycopene was used as the experimental index, and the obtained quadratic multinomial mathematical model was analyzed by using Design-expert 7.0 software, and the best extraction process parameters of lycopene were determined as follows: The extraction temperature was 36℃, the extraction time was 49min, and the pH was 4. Under these conditions, the predicted value of lycopene content was 225.5mg/100g, and the actual measured value was 224.5mg/100g. In the empirical experiment, the relative error between the prediction results and the measured results is 0.433%, which has high reliability, indicating that the established mathematical regression model can accurately predict the extraction rate of lycopene within a certain range.
The Relationship between Intestinal Flora and Sleep Disorders and Research Progress
Authors: Zhang Xiaoming , Dong Xuewu , Yang Cheng , Wang Wensheng , Fang Jiayan
Published: June 2024

Insomnia is one of the most common sleep disorders, which is closely related to mood and stress. Long-term insomnia can not only lead to fatigue, poor concentration and other problems, but more serious cases can lead to memory loss, mood disorders and even neurodegenerative diseases. The current chemotherapeutics have many defects, such as high side effects and insufficient efficacy, so it is urgent to develop new prevention and treatment strategies. In recent years, with the deepening understanding of the ‘microbiome-gut-brain’ axis in the scientific community, gut microbes have been shown to regulate sleep function by communicating with the brain through several mechanisms: regulating the serotonin system; Regulating the blood-brain barrier; Produce functional metabolites. Breakthroughs have been made in theory to regulate the host’s biological rhythm and improve the nervous system problems caused by sleep disorders. It has great practical significance. Starting from the pathological mechanism of insomnia (including neurotransmitter system disorders and disorder of the Hypothalamic-Pituitary Aadrenal Axis (HPA) system), this paper will explain the pathogenesis of intestinal flora in sleep disorders and the interaction and internal relationship between the two.
Integrated Care to Reduce Contrast Agent Extravasation in CT Enhancement Examinations
Authors: Zhang Aiyin , Zou Yongli , Wang Yuelu , Zhang Lin , Gui Tengmei , Tang Tingting , Cheng Liangqun , Zhang Yuan , Yuan Yan
Published: June 2024

To explore the effectiveness of integrated care in reducing contrast agent extravasation during CT enhancement examinations. A total of 7,247 patients undergoing CT enhancement examinations in our department between August 2022 and May 2023 were selected. The 3,615 patients treated between August 2022 and December 2022 served as the control group, while the 3,152 patients treated from January 2022 to May 2022 were the research group. The research group received integrated care, while the control group received conventional care. The incidence and severity of iodine contrast extravasation and patient satisfaction with nursing care in the two groups were compared. The incidence of iodine contrast extravasation in the research group (0.27%) was lower than in the control group (0.94%), and the nursing satisfaction rate in the research group (99%) was higher than in the control group (90%). The differences were statistically significant (P < 0.05). The use of integrated care in CT enhancement examinations can effectively reduce the incidence of iodine contrast extravasation and improve patient satisfaction with nursing care.
Research Progress on the Correlation between Environmental Phthalate Exposure and Thyroid Hormone Level
Authors: Du Linlin , Li Xingsan , Qi Yanbo , Wang Mingxia
Published: June 2024

Environmental phthalates are frequently used in toys, food packaging, medical supplies, and other plastic goods. Because they are easily released from plastics, they might be a concern to the natural system and public health. This study focuses on the impact of phthalate esters, a widely used plasticizer, on the environment and its relationship with human thyroid hormones. As environmental endocrine disruptors, phthalates can destroy the stability of ecosystems and lead to changes in their functions, thus posing a potential threat to ecosystem health and biodiversity. In addition, phthalates may also have adverse effects on thyroid tissue and function, increasing the risk of thyroid diseases. Therefore, it is very important to strengthen the management and supervision of phthalate esters to ensure the safety of ecosystem and human health. The results of this research can provide scientific basis for evaluating the potential health risks of phthalate esters exposure, and can also provide reference for the implementation of future environmental policies and health management strategies.
The Relationship between Health and morality of the Female Drug Addicts
Authors: Ai Yingtong , Zhang Liwen , Rao Chunmei , Wang Ruhong
Published: June 2024

At present, there are a large number of drug users and drug dealers in our country, this phenomenon will cause a certain degree of seriousness to the normal life of the people and the stability of the social order influences. With the implementation of China's first "Drug Control Law," more attention has been paid to drug control, drug treatment, and rehabilitation, as well as the psychological status of drug users. Drug treatment institutions and researchers have also increased their focus on these areas. The issues of drugs, crime, and suicide were once considered social epidemics in Western countries, with each influencing and being related to the others. In recent years, there has been an increase in both the types of drugs abused and the number of drug users. Consequently, there has been a shift in the demographics of drug users; it is no longer predominantly men but also includes a significant rise in female drug users. This phenomenon raises great concerns because not only does drug abuse have a profound impact on society but also specifically affects women due to their unique roles within society and families. After conducting a systematic investigation, it was found that women have become a high-risk group for substance abuse. The particularity of women's societal roles and responsibilities determines that female drug users pose greater harm to society overall. Female drug users exhibit distinct characteristics associated with poor health conditions that are closely linked to their substance abuse behaviors. This article aims to analyze the current situation, characteristics, moral implications of female drug use while providing relevant suggestions and countermeasures through studying this issue within in China.
Risk Factors Analysis of Post Anesthesia Induction Hypotension in Patients with Recurrent Nasopharyngeal Carcinoma
Authors: Luyao He
Published: June 2024

This study is to investigate the risk factors of post anesthesia induction(PIH) in patients with recurrent nasopharyngeal carcinoma. A retrospective analysis was conducted on the clinical data of 262 patients who underwent the nasal endoscopic surgery from January 2021 to May 2023 were into this study. These patients were divided into group A(patients of non-PIH) and group B(patients of PIH). Univariate analysis and multivariate Logistic regression analysis were performed to analyze the independent risk factors of PIH. The overall incidence rate of PIH was 17.56%. According to the univariate analyses, anesthetics used for induction (dexmetomidine) and Preoperative serum sodium level were significantly correlated with PIH in patients with recurrent nasopharyngeal carcinoma(p<0.05). Furthermore, multivariate logistic regression prediction model identified the two indicators above are independent risk factors for PIH in patients. The model fit well, and the area under the receiver operating characteristic curve was 0.676, and the predictive sensitivity and specificity were 78% and 53.2%, respectively. The results of this paper show that, anesthetics used for induction (dexmetomidine) and Preoperative serum sodium level were independent risk factors for PIH. It provides theoretical foundation for predicting PIH after splenectomy.
Research and Analysis on the Health Effects of Metasilicic Acid Drinking Water
Authors: Gao Yongchun
Published: June 2024

With the change of dietary structure and the improvement of health awareness of Chinese residents, the public's attention to silicon content in food and drinking water is also increasing. Studies show that silicon has important functions for human health, and drinking water is the most common and safest way for human body to ingest silicon. In particular, it is particularly important to ingest silicon in metasilicic mineral water. In this paper, the existing forms of silicon in nature and the relationship between silicon and human health are studied in order to provide help and reference for the detection of silicon content in food and drinking water and the quality evaluation of mineral water.
Gender, Body and Subjectivity: A Study of Ballroom Gender Culture from the Perspective of Post-Modern Gender Theory
Authors: Deng Zhiyao
Published: June 2024

With the in-depth discussion of individual independence and self-consciousness in the post-modern social context, the construction of social identity has increasingly become an important part of individuals seeking their own interests and the legitimacy of existence. The problem of social identity essentially points to social stratification and the flow of social structure, and it is social culture and mass culture that play a key role in it. Corresponding to the mainstream mass culture, the minority culture and subculture accommodate the marginalized groups. Among them, ballroom culture is an important foundation for homosexual and other sexual minorities and vulnerable groups to resist the mainstream cultural discipline. Ballroom provides certain material and spiritual support for the marginalized vulnerable groups in society, which is the cultural space for the survival of sexual minorities. This article attempts to start from the theoretical writings of Foucault, Butler and other scholars in postmodern gender theories, and explore the corresponding issues of gender, body symbols and subject identity involved in ballroom culture.
A Study on the Impact of Different Sports Programs on the Self-esteem and Social Skills of Children with Intellectual Disabilities
Authors: Liu Yangyang , Shang Xiuhai
Published: June 2024

The study aimed to explore the effects of different sports on the self-esteem and social skills of children with intellectual disabilities and to analyze the way they work. In a special school in Jiangsu Province, researchers randomly selected 32 children with mild intellectual disabilities and assigned them equally to a basketball group, an aerobics group, an athletics group and a control group. The three intervention groups underwent a 12-week sports and games intervention, while the control group maintained its original teaching schedule. The study used the Rosenberg Self-Esteem Scale and the Social Skills Rating Scale for Children with Intellectual Disabilities, which was modified and validated by experts, to collect data before and after the intervention, and compared the four groups by mixed-factor ANOVA. The results showed that there were significant differences in the group main effect, the number of measurements main effect, and the interaction effect of group and time with respect to self-esteem and social skills. Simple effects showed that before the intervention, there were significant differences between the control group and the three intervention groups, whereas after the intervention, there were no significant differences between the control group and the athletics group in terms of self-esteem and social skills, but there were significant differences between the control group and the other two groups. Overall, physical education had a positive impact on self-esteem and social skills of children with intellectual disabilities, with the degree of impact varying from sport to sport.
The Impact of Hygiene Status on Caregiving for Older Adults among Certified Nursing Assistants in China Nursing Facilities: Occupational Ethics and Working Attitudes as Mediators in Parallel
Authors: Zhao Yanyan , Wang Hongzhao , Sun Qing
Published: June 2024

Certified nursing assistants’ quality of caregiving for older adults exerts a positive impact on their occupational careers. Hygiene status of certified nursing assistants in nursing facilities may protect QOCD from positive working achievement. The impact of hygiene status of certified nursing assistants on QOCD for older adults were proved in the observational cross-sectional study. Care giving appraisal were used to survey 104 certified nursing assistants. Arbitrating effects were in-depth analyzed by SPSS 25.0 and Process V3.5. Hygiene status definitely unraveled quality of care delivery. Meanwhile, it was also found that hygiene status, and quality of care delivery were arbitrated in parallel by occupational ethics and working attitudes. Value of 0.469 was total indirect, explaining 49.5%. The innovative study introduces how hygiene status influences caregivers’ quality of care delivery in pension apartment. Hygiene status could provide certified nursing assistants with a favorable supervising and assessing positive occupational quality, enhance the occupational ethics and working attitudes, ultimately improve their quality of care delivery.
Artificial Neural Network Accuracy Optimization Using Transfer Function Methods on Various Human Gait Walking Environments
Authors: Indrawati Ragil Tri , Putri Farika Tono , Safriana Eni , Isti Nugroho Wahyu , Prawibowo Hartanto , Ariyanto Mochammad
Published: June 2024

A bionic leg with ergonomic functionality can increase the user’s independence. However, an ergonomic bionic leg can be challenged to be developed. One of its challenges is related to functionality, where the bionic leg motor can be rugged to adapt to the user. One of the solutions for the bionic leg challenge is the application of a motor driver controlled by the user’s muscle signal. EMG signal can be utilized as the user’s signal source. The EMG signal is then fed back into the motor device. EMG signals obtained during a natural walking environment can result in smooth and natural movement. This study classifies EMG signals into 8 classes: a controlled walking environment (treadmill walking with various speeds) and a natural walking environment (ground walking, upstairs and downstairs walking). This research aims to optimize the ANN method using transfer function variations. The best method will be used to train EMG-driven motors for future studies related to bionic legs. The best ANN parameter in this research using Levenberg-Marquardt backpropagation as a training algorithm with transfer function pairing of the exponential function: Hyperbolic tangent sigmoid transfer function and SoftMax transfer function with 98.8% accuracy and 0.036 MSE value. The best method from the experiment and ANN classification can be used as a training method for a bionic leg in future research.
Predictive Wireless Received Signal Strength Using Friis Transmission Technique
Authors: Rawi Roziyani , Mohd Isa Mohd Rizal , Ismail Mohd Nazri , Abu Bakar Sajak Aznida , Yahaya Yuhanim Hani
Published: June 2024

A good WLAN performance is crucial in determining the quality of experience (QoE) among the campus community. Proper WLAN planning and design should be done beforehand to ensure good WLAN performance. Various studies have discussed different methods of conducting WLAN planning to predict WLAN's best performance, including using artificial intelligence and mathematical approaches. One of the processes involved in performing WLAN planning is measuring performance parameters. Signal strength is one of the vital parameters to be measured in determining the excellent performance of WLAN in a particular area. When deploying a WLAN design in two different environments, the signal strength outcomes can differ due to various factors, including obstacles and path loss propagation issues within the deployment area. Higher Learning Institutions (HLIs) present a unique challenge as their building designs vary to accommodate student needs. As a result, the selection of materials used will also be different, affecting the WLAN performance. A detailed study should investigate the effect of path loss propagation and the type of obstacle that affects WLAN performance in HLI. Thus, this study focuses on predicting received signal strength using Friis Transmission and studying the effect of path loss propagation on WLAN performance. The simulated model significantly affects signal strength when the signal passes through different types of building material (non-LOS) and line-of-sight (NLOS), where concrete walls substantially affect the received signal strength between transmitters. The proposed model can assist network planners in designing robust WLAN infrastructure by improving signal strength, particularly in the HLI WLAN environment.Â
Technology and Language: Improving Speaking Skills through Cybergogy-Based Learning
Authors: Satria Dadi , Zamzani Zamzani , Nurhadi Nurhadi , Arief Ermawati
Published: June 2024

Language learning in the Industrial Revolution 4.0 and Society 5.0 era is required to produce students with 21st-century skills by increasing the capacity and capability of using technology in learning. Technology-based learning, known as cybergogy, is a continuity of learning paradigms that previously applied the principles of pedagogy and andragogy in the learning process. As a new concept in learning, cybergogy is essential in improving 21st-century skills in the form of the 6Cs (Citizenship, Character, Critical Thinking and Problem Solving, Communication, Creativity, and Collaboration). Enhancing communication skills through cybergogy-based learning is a novelty that has not been done much and has become the focal point of research. This research, part of development research using the ADDIE model, employed a quasi-experimental design conducted in 3 senior high schools in Yogyakarta, representing one school per category, namely the lower, medium, and high categories, based on UTBK scores. A non-equivalent control group design involving an experimental and control class was applied. The results of this study, which showed a significant improvement in students' communication skills, especially speaking aspects, through blended learning, are of great significance. Therefore, it can be concluded that cybergogy-based language learning has proven effective in improving students' communication skills through blended learning.
The Relationship among Academic Self-Efficacy, Academic Resilience, and Academic Flow: The Mediating Effect of Intensity Using Learning Management System
Authors: Syukur Yarmis , Putra Ade Herdian , Ardi Zadrian , Mardian Vivi
Published: June 2024

University students can have low academic flow when using a Learning Management System (LMS). Three variables are predicted to correlate with the academic flow (FA) of students who use LMS: academic self-efficacy (ASE), academic resilience (AR), and LMS use intensity (LMSI). This study looks at the link between academic self-efficacy, academic resilience, LMS use intensity, and academic flow among university students who use LMS. This study employs a quantitative approach, using correlational approaches and path analysis. Furthermore, 740 Indonesian university students who used LMS participated in this study. This study used the partial least squares-structural equation model (PLS-SEM) to analyze data. This study found that academic resilience and LMS use intensity are both positively and significantly associated with academic flow in university students who use LMS. Furthermore, the current research results show that academic self-efficacy is not directly related to academic flow among university students. Aside from that, the study's findings imply that LMS usage intensity is a deciding variable for academic flow among university students who use LMS and that it can control the link between academic self-efficacy, academic resilience, and academic flow. Academic resilience and LMS use intensity must be considered when improving university students' academic flow using LMS.
Implementation of Multi Extension in Blockchain-Based IoT Platform for Industrial IoT Devices
Authors: Prayudi Agus , Sukaridhoto Sritrusta , Udin Harun Al Rasyid Muhammad , Hakim Oktafian Sultan , Yohanie Fridelin Panduman Yohanes , Putri Nourma Budiarti Rizqi
Published: June 2024

The rise of the Internet of Things (IoT) has led to the creation of technologies to improve human life. IoT involves integrating the Internet with the physical world, spanning applications like smart homes, industries, supply chains, academia, and more. By the end of 2020, around 212 billion IoT devices were globally deployed, presenting substantial opportunities for manufacturers and diverse applications. There have been numerous implementations of IoT across various fields, including Blockchain IoT (B-IoT), Artificial Intelligence of Things (AIoT), Digital Twin, and new communication protocols like the Matter protocol. We conducted a comprehensive testing of the blockchain (B-IoT) extension system on various bandwidths and scenarios, such as blockchain API execution time, speed, retention performance, and smart contract vulnerability testing. Our testing has been successful, and several messaging systems were used. Kafka was recommended to overcome the pending transaction problem caused by unprocessed messages. Our smart contract exhibited high severity. The Artificial Intelligence of Things extension, tested on real environments for person and vehicle counters, has shown successful results. Digital Twin, integrated into the IoT platform to perform and control 3D assets such as the postgraduate PENS building, has demonstrated efficient performance. Matter protocol achieved an average task execution speed of 0.48 tasks per second. Matter P2P communication was also successfully tested in this research by implementing the Access Control List (ACL) command.
Systematic Literature Review on Augmented Reality with Persuasive System Design: Application and Design in Education and Learning
Authors: Nasirudin Mohd Asrul , Md Fudzee Mohd Farhan , Senan Norhalina , Che Dalim Che Samihah , Witarsyah Deden , Erianda Aldo
Published: June 2024

Augmented Reality (AR) is an innovative technology that has gained significant scholarly attention. It uses computer-generated sensory inputs like visuals, sounds, and touch to enhance how we perceive the real world, providing a transformative impact on human sensory experiences. Motivated by the possibilities of augmented reality (AR) in the realm of the educational learning environment, this research aims to document the evolving landscape of augmented reality (AR) applications in education and training, with a specific emphasis on the incorporation of persuasive system design (PSD) elements. The study also explores the diverse technologies and methodologies for developing these applications. A systematic literature review was conducted, analyzing 44 articles following the protocol for PRISMA assessments. Four research questions were formulated to investigate trends in AR applications. Between 2016 and 2023, publications on AR applications doubled, with a significant focus on the educational field. Marker-based AR methods dominated (68.49%), while markerless methods constituted 31.51%. Unity and Vuforia were the most used platforms, accounting for 77.27% of applications. Most research papers assessed application effectiveness subjectively through custom-made questionnaires. University students were identified as the primary target users of AR applications. Only a few applications integrated persuasive elements, even for adult users. This highlights the need for further studies to fully grasp the possibilities of combining persuasive system design with augmented reality applications in education
Features, Analysis Techniques, and Detection Methods of Cryptojacking Malware: A Survey
Authors: Kadhum Laith M , Firdaus Ahmad , Hisham Syifak Izhar , Mushtaq Waheed , Ab Razak Mohd Faizal
Published: June 2024

Various types of malwares are capable of bringing harm to users. The list of types are root exploits, botnets, trojans, spyware, worms, viruses, ransomware, and cryptojacking. Cryptojacking is a significant proportion of cyberattacks in which exploiters mine cryptocurrencies using the victim’s devices, for instance, smartphones, tablets, servers, or computers. It is also defined as the illegal utilization of victim resources (CPU, RAM, and GPU) to mine cryptocurrencies without detection. The purpose of cryptojacking, along with numerous other forms of cybercrime, is monetary gain. Furthermore, it also intended to stay concealed from the victim's viewpoint. Following this crime, to the author's knowledge, a paper focusing solely on a review of cryptojacking research is still unavailable. This paper presents cryptojacking detection information to address this deficiency, including methods, detection, analysis techniques, and features. As cryptojacking malware is a type that executes its activities using the network, most of the analysis and features fall into dynamic activities. However, static analysis is also included in the security researcher’s option. The codes that are involved are opcode and JavaScript. This demonstrates that these two languages are vital programming languages to focus on to detect cryptojacking. Moreover, the researchers also begin to adopt deep learning in their experiments to detect cryptojacking malware. This paper also examines potential future developments in the detection of cryptojacking.
Decoding Innocence: Advancing Forensic Facial Discrimination through Comparative Analysis of Conventional CNN and Advanced Architectures
Authors: Ahmed Mirza Jamal , Abdullah Nurul Azma
Published: June 2024

The field of Digital Image Forensics (DIF) faces a critical issue in accurately identifying children in digital images, notably in cases involving the proliferation of child sexual abuse content. Existing techniques face hurdles due to model architecture limitations, dataset suitability concerns, and classification imbalance, impeding their ability to recognize children to deter pornographic images. Addressing this challenge, this study introduces Implicit Feature Extraction (IFE), a specialized approach for distinguishing child and adult images in object detection. Leveraging Convolutional Neural Networks (CNNs), the IFE method automates the extraction of discriminative facial features, surpassing the constraints of Explicit Feature Extraction (EFE) methods, which achieve an accuracy of around 70%. The research focuses on three core objectives introducing IFE for detailed face feature detection in DIF's child and adult image identification, implementing IFE with CNNs to enhance image classification, and conducting a thorough evaluation of the proposed technique's performance using key metrics like accuracy and balanced classification results and comparing the result with a basic CNN model’s performance. This research's significance lies in its notable contributions to digital image forensics, particularly in combatting child exploitation. The fusion of IFE with CNNs showcases 92% accuracy in distinguishing child and adult images, promising advancements with practical implications in child protection and forensic investigations. The comprehensive evaluation using the UTKFace dataset underscores the proposed technique's efficacy, marking a substantial improvement in child image identification within digital image forensics.
Disaster Mitigation with Local Wisdom in the Community of West Sumatra
Authors: Ramadhan Aditya , Taqiyuddin
Published: June 2024

West Sumatra Province is an area that has often been hit by disasters since ancient times, such as floods, earthquakes and tsunamis. This is related to geographical conditions where tectonic plates often move. Natural disasters have changed the way people live to adapt to face this phenomenon. This research aims to describe the form of local wisdom of the Minang community in mitigating disasters that often hit the area. The method used is a literature study developed descriptively with secondary data from relevant research on the topic. The results found that the local wisdom of the Minang community as a form of mitigation is in the form of proverbs with a philosophy of harmony with nature, the shape of the house and philosophical principles in the order of life so that they are able to live in harmony with nature conservation.
Strategy of Dompet Dhuafa in Empowering Poor Communities in East Java Province
Authors: Putri Annisa , Pambudi Bayu Prasetyo , Aldiansyah Septianto , Ristrianti Yusniar Rah Ayu
Published: June 2024

Dompet Dhuafa is a philanthropic institution sourced from funds from zakat, infaq, alms, and waqf as well as other halal funds aimed at empowering the poor through humanitarian activities and social entrepreneurship. Dompet Dhuafa takes part in community empowerment through activities aimed at reducing poverty in East Java by the second goal of the Sustainable Development Goals (SDGs). The data collection used in this study is a literature study based on available references. Dompet Dhuafa has various programs that can be implemented in East Java, namely the Poor Community Empowerment Program by providing training to improve skills. This program is also in line with the RPJPD, RPJMD, and RTRW of East Java Province. However, the dependence of recipients on assistance makes the community not independent. In addition, there is a thought from the recipient that the business capital lent by Dompet Dhuafa is not obligatory to be returned so the recommendations that can be given are that the recipient is expected to be more enthusiastic and participative.
«Fiks dette barnet!» Om forventningar til musikkterapi på feltet barn og unge i utsatte livssituasjonar.
Authors: Nebelung Ingeborg
Published: June 2024

Denne artikkelen er ein del av eit pågåande ph.d.-prosjekt om forventningar til musikkterapi. Gjennom intervju av musikkterapeutar, samarbeidspartnarar og leiarar vert det utforska kva forventningar som fins til musikkterapi på dette feltet. Å drøfte og synleggjere forventningar er eit avgjerande utgangspunkt for å sikre at tilbod og etterspurnad samsvarer. Denne artikkelen spør: Korleis skildrar musikkterapeutar forventningar til musikkterapi som dei møter i sitt arbeid med barn og unge i utsatte livssituasjonar? Det empiriske materialet inkluderer intervju med tre fokusgrupper med 14 musikkterapeutar og ein dramaterapeut. Ei tematisk analyse av intervjua viser at informantane møter både utopisk høge forventningar, motstand og vegring mot terapi, samt håpet om ei betre framtid. Informantane fortel at dei aktivt justerer desse forventningane i møtet med menneske dei samarbeider med på feltet, samt at dei er opptekne av å ivareta håpet.
Resistance to the Implementation of Continuous Assessment Learning Activities in Zimbabwean Secondary Schools: What and Why?
Authors: Vurayai Simon
Published: June 2024

This study employed the Systematic Review (SR) methodology to examine the content and reasons for resisting the implementation of Continuous Assessment Learning Activities (CALA) in Zimbabwean Secondary schools. The Overcoming Resistance to Change (ORC) model was exploited as the analytical
lenses. The study found that factors such as education, training, communication, participation, cost, motivation and resources determined the acceptance or rejection of the implementation of CALA. The shortage or absence of these elements has resulted in intensified resistance to the implementation
of CALA. This study therefore recommends sustained effort in raising the level of education, communication, training, participation and motivation teachers, parents, and learners. In addition, the government of Zimbabwe should increase its support through cost bearing and resources supply
as required to meet the demands of CALA.
Ingestible pills reveal gastric correlates of emotions
Authors: Porciello Giuseppina , Monti Alessandro , Panasiti Maria Serena , Aglioti Salvatore Maria
Published: June 2024

Although it is generally held that gastrointestinal (GI) signals are related to emotions, direct evidence for such a link is currently lacking. One of the reasons why the internal milieu of the GI system is poorly investigated is because visceral organs are difficult to access and monitor. To directly measure the influence of endoluminal markers of GI activity on the emotional experience, we asked a group of healthy male participants to ingest a pill that measured pH, pressure, and temperature of their GI tract while they watched video clips that consistently induced disgust, fear, happiness, sadness, or a control neutral state. In addition to the objective physiological markers of GI activity, subjective ratings of perceived emotions and visceral (i.e. gastric, respiratory and cardiac) sensations were recorded, as well as changes in heart rate (HR), heart rate variability (HRV) and spontaneous eyes blinks as non-gastric behavioral and autonomic markers of the emotional experience. We found that when participants observed fearful and disgusting video clips, they reported to perceive not only cardiac and respiratory sensations but also gastric sensations, such as nausea. Moreover, we found that there was a clear relation between the physiology of the stomach and the perceived emotions. Specifically, when disgusting video clips were displayed, the more acidic the pH, the more participants reported feelings of disgust and fear; the less acidic the pH, the more they reported happiness. Complementing the results found in the deep gastric realm, we found that disgusting stimuli induced a significant increase in HRV compared to the neutral scenarios, and together with fearful video clips a decrease in HR. Our findings suggest that gastric signals contribute to unique emotional states and that ingestible pills may open new avenues for exploring the deep-body physiology of emotions.
Evolutionary druggability for low-dimensional fitness landscapes toward new metrics for antimicrobial applications
Authors: Guerrero Rafael F , Dorji Tandin , Harris Ra'Mal M , Shoulders Matthew D , Ogbunugafor C Brandon
Published: June 2024

The term ‘druggability’ describes the molecular properties of drugs or targets in pharmacological interventions and is commonly used in work involving drug development for clinical applications. There are no current analogues for this notion that quantify the drug-target interaction with respect to a given target variant’s sensitivity across a breadth of drugs in a panel, or a given drug’s range of effectiveness across alleles of a target protein. Using data from low-dimensional empirical fitness landscapes composed of 16 β-lactamase alleles and 7 β-lactam drugs, we introduce two metrics that capture (i) the average susceptibility of an allelic variant of a drug target to any available drug in a given panel (‘variant vulnerability’), and (ii) the average applicability of a drug (or mixture) across allelic variants of a drug target (‘drug applicability’). Finally, we (iii) disentangle the quality and magnitude of interactions between loci in the drug target and the seven drug environments in terms of their mutation by mutation by environment (G x G x E) interactions, offering mechanistic insight into the variant variability and drug applicability metrics. Summarizing, we propose that our framework can be applied to other datasets and pathogen-drug systems to understand which pathogen variants in a clinical setting are the most concerning (low variant vulnerability), and which drugs in a panel are most likely to be effective in an infection defined by standing genetic variation in the pathogen drug target (high drug applicability).