bluuebunny/crossref_metadata_2025 huggingface dataset:
Hubungan mekanisme koping dengan tingkat kecemasan pada pasien gagal ginjal kronik di Ruang Hemodialisa
Authors: Indriani Sintia , Agustina Habsyah S , Fauziyah Nuridha
Published: March 2024

Abstrak. Latar belakang: Mekanisme koping merupakan upaya atau strategi yang digunakan individu dalam memecahkan masalah, menghadapi perubahan yang terjadi, dan situasi yang mengancam, baik secara kognitif maupun perilaku. Tujuan: Penelitian ini bertujuan untuk mengetahui hubungan mekanisme koping dengan tingkat kecemasan pada pasien gagal ginjal kronik yang menjalani hemodialisa. Metode: Jenis penelitian ini adalah penelitian kuantitatif dengan desain deskriptif korelatif. Desain penelitian ini menggunakan pendekatan cross-sectional. Instrumen angket mekanisme koping dan angket tingkat kecemasan Spearman's Rho. Hasil: Uji korelasi mekanisme koping dengan tingkat kecemasan pada pasien gagal ginjal kronis di Ruang Hemodialisis RSUD Subang diperoleh nilai p-value 0,001. Kesimpulan: terdapat hubungan yang signifikan antara mekanisme koping dengan tingkat kecemasan, sehingga hipotesis dapat diterima. Sehingga, semakin tinggi mekanisme koping adaptif maka tingkat kecemasan individu semakin rendah. Saran untuk peneliti selanjutnya harus memperhatikan faktor confounding yang dapat mengganggu hasil penelitian misalnya pengetahuan dan kepribadian pasien.
Tugas keluarga dalam pemeliharan kesehatan dan pencegahan stunting pada balita di Subang
Authors: Nuraeni Ade , Rosiah Rosiah
Published: March 2024

Stunting merupakan sebuah masalah kurang gizi kronis yang disebabkan oleh kurangnya asupan gizi dalam waktu yang cukup lama, hal ini menyebabkan adanya gangguan di masa yang akan datang yakni mengalami kesulitan dalam mencapai perkembangan fisik dan kognitif yang optimal. Pencegahan dan penanggulangan stunting tidak hanya menjadi tanggung jawab pemerintah tetapi keluarga juga mempunyai peran penting. Perawatan kesehatan keluarga mencakup penyediaan makanan, pakaian, perlindungan, dan asuhan kesehatan/keperawatan. Kemampuan keluarga melakukan asuhan keperawatan dan pemeliharan kesehatan mempengaruhi status kesehatan keluarga dan individu. Tujuan Penelitian ini yaitu : 1) mengidentifikasi tugas keluarga dalam pemeliharaan kesehatan dengan balita stunting; 2) mengidentifikasi tugas keluarga dalam pencegahan stunting. Penelitian ini menggunakan pendekatan deskriptif kuantitatif dengan pendekatan restrospektif. Sampel penelitian ini adalah keluarga dengan balita stunting di Wilayah Kerja Puskesmas Cibogo Subang berjumlah 26 responden. Analisis data univariat digunakan untuk mendeskripsikan data variabel penelitian. Hasil penelitian didapatkan tugas perawatan kesehatan keluarga dalam pencegahan stunting pada balita  8% kategori baik dan 92% kategori cukup. Tugas keluarga dalam perawatan dan pencegahan stunting pada balita di wilayah puskesmas Cibogo sebagian besar menunjukkan kategori cukup. Diperlukan upaya dalam meningkatkan kemampuan keluarga dalam mencegah terjadinya stunting pada balita melalui kerjasama lintas program dan lintas sektor.
Perancangan Aplikasi Menu Makanan Berbasis Java
Authors: Alfarisi Farhan Siddiq , Zuhairmawan Muhammad Tiar , Pradeka Deden , Munawir Munawir
Published: March 2024

Pemesanan menu makanan merupakan suatu aktivitas yang dilakukan oleh pelanggan untuk membeli produk menu makanan. Mayoritas pemesanan dilakukan secara manual harus melalui kasir dan menghambat efektivitas waktu, kelalaian manusia oleh karena itu perancangan Aplikasi pemesanan menu makanan merupakan solusi terbaik untuk mengatasi beberapa permasalahan tersebut. Adapun perancangan aplikasi berbasis java ini menggunakan bahasa java yang dimulai dari pembuatan spefikasi kebutuhan perangkat lunak, dan perancangan database dalam pengujian aplikasi ini juga digunakan metode blackbox agar bisa mengukur keakuratan aplikasi tersebut setelah dilakukannya pengujian tersebut juga menunjukkan hasil yang cukup baik artinya aplikasi ini sesuai dengan harapan dan dapat menyelesaikan masalah yang ada.
Study on the Effect of Process Parameters on the Density of PEEK Compression Moulding Based on Experiment and Simulation
Authors: Li Haoran , Gong Peng
Published: March 2024

Peek is a special polymer material known for its exceptional mechanical properties, stable chemical properties, high temperature resistance, self-lubrication, wear resistance, and fatigue resistance. Peek is extensively used in various fields such as aerospace, automotive, electrical and electronic, and medical equipment. It has emerged as the most popular high-performance engineering plastic due to its excellent properties and versatility. Therefore, it is crucial to investigate the impact of process parameters on the quality of peek materials. This research article presents a finite element model that investigates the impact of process parameters on compression moulding density. The model incorporates the compression equation and the Shima-Oyane yield criterion. The model was used to perform finite element simulations of compression moulding with different process parameters. The simulation results show that increasing the compression load within a certain range enhances the top punch’s ability to overcome the interaction and friction between materials, resulting in increased forming density. By extending the holding time and improving the lubricant conditions, it is possible to not only increase the forming density, but also enhance the uniformity of distribution. This study lays the foundation for optimizing pressing process parameters and predicting future moulding results.
Research on Simulation Modelling of Civil Aircraft Power System Logic Architecture
Authors: Hou Rui
Published: March 2024

There are many limitations in the traditional text-based design method of aircraft power systems, which makes it difficult to meet the challenges of complex product design. In this paper, a civil aircraft airborne system simulation modelling process based on the Arcadia method is proposed, and a modelling and simulation design process such as system analysis and logic analysis is constructed. Through the modelling and simulation application of the power system, it is shown that this method has great advantages in the early R&D and design of the civil aircraft power system.
Investigation of the Cavity Noise Based on the Linear Stability Theory
Authors: Zhang Yizhi
Published: March 2024

In this paper, the stability analysis and control of cavity flow in the field of aircraft design are carried out. By solving the time-averaged flow field and combining it with the linear instability theory, the eigenmodes and the instability growth rate of cavity flow are studied. The results show that there are multiple unstable modes in the flow before the control is applied, and the flow is passively controlled by introducing the plate configuration, By changing the velocity profile in the shear layer, the unstable eigen mode tends to be stable, and the flow field is well controlled.
The Optimal Control Method of Transmission Line Fittings Limits in Low Power Consumption State
Authors: Qian Chaojun , Zhang Fan , Zhang Long
Published: March 2024

The working environment of the power system is complex and changeable, and transmission lines under different working conditions will face different conditions and requirements. However, previous studies often only consider the optimization of hardware under specific working conditions, ignoring the influence of other working conditions. To reduce the eddy current power consumption of hardware and improve the smoothness of optimization control, the optimization control method for the extremely low power consumption state of transmission lines is studied. We establish an optimization control model for the extremely low power consumption state of the transmission line hardware and use the wolf pack algorithm to solve the optimization control model and obtain the minimum eddy current power consumption value of the hardware. The experiment proves that it can effectively optimize and control the extremely low power consumption state of the hardware, with small absolute error integrals, and can effectively improve the energy-saving efficiency and power consumption reduction ratio of the hardware.
FPGA Chip-Based Multi-Module System Verification Methodology
Authors: Chen Haojie , Zuo Shikai
Published: March 2024

This paper proposes a functional verification method for multi-module system field programmable gate array (FPGA) chips. According to the FPGA integrated netlist information, multiple modules to be tested as well as the connection relationship between modules to be tested and the system are all extracted accurately to get a brand-new netlist of modules to be tested. Then the verification excitation is inputted from the outside to verify the extracted netlist, which reduces the compilation time of the large-scale FPGA chip, as well as reduces the configuration time of the chip function verification, accelerates the speed of the simulation, and improves the simulation and verification efficiency. This method has been successfully applied to the FPGA chip circuit function verification engineering practice.
Multiqubit Entanglement Witness
Authors: Zhang Shiqi
Published: March 2024

With an aim to detect the genuine entanglement of a mixed state at the nearby pure state, we reflect a practicable approach concerning the construction of witness and express expectations to detect separable, bipartite states, and multiqubit entangled states. We introduce the related concept of the density matrix, multiqubit state, entangled state entanglement witness, etc. In addition, we give unambiguous definitions of separable states, entangled states, and genuinely entangled states. Therefore, we are able to detect the genuine entanglement of a mixed state at the nearby pure state employing the witness that is constructed for the multiqubit states.
An Improved Method for Directed Fuzzing Scheduling Strategy
Authors: Dong Dingguo , Yu Le , Zhang Feng
Published: March 2024

As an automated testing method, directed fuzzing technology can effectively help software developers discover security issues in programs. However, in many cases, the efficiency of generating test cases far exceeds the efficiency of execution and mutation, leading to a backlog of test cases. In order to solve the problem of backlog test cases, which leads to a decrease in mutation efficiency and program vulnerability discovery efficiency, in this paper a new test case scheduling strategy by creating a priority mutation set is proposed, selecting high-quality test cases to add to the set, and adding, replacing, and discarding set members according to mutation conditions. Experimental results demonstrate that this strategy improves the overall quality of test cases and the efficiency of directed fuzz testing in discovering program vulnerabilities.
Closed-Loop Debugging Method of a Signal Link of Main Plant and Station Integrated System Based on FPGA
Authors: Chen Ning , Wang Qiang , Yang Ren , Li Duanchao , Sun Wenyan
Published: March 2024

The main plant integration system can improve the power system master station and power plant data interaction, and the quality of its signal link determines the quality of the system. The current link debugging methods mainly filter the signals and ignore the changes of link parameters in different working states, resulting in large link loss and poor signal transmission effect. To enhance the link debugging effect, a signal link closed-loop debugging method based on FPGA is studied. After selecting the FPGA chip, the signal link is reconstructed by FPGA. When a check matrix is established in the form of LDPC code coding for a closed-loop compile link. The neural network is introduced to design the closed-loop debugging model to realize the closed-loop debugging of signal links. Through the experiment of the method, the link SNR is reduced by 23.98% after the debugging method based on FPGA is applied, and the link loss is effectively reduced.
Improved YOLOv6s Algorithm for Automatic Detection of Elements of Qinghai Farmer Painting and Thangka
Authors: Guo Shaodong , Peng Chunyan , Zhang Xiaojuan
Published: March 2024

Qinghai Farmer Painting and Thangka are important intangible cultural heritages in Qinghai province, and the elements in the picture have the characteristics of abstract, dense and clutter. In order to quickly and accurately understand the meanings of the elements in the images, the Qinghai Farmer Painting dataset and the Thangka dataset are constructed, their element characteristics are analyzed. An improved algorithm based on YOLOv6s is proposed in this study to achieve accurate and fast detection of traditional painting elements of Qinghai Farmer Painting and Thangka. The algorithm incorporates a coordinate attention module into the YOLOv6s to enhance the emphasis on the location information of the object. Experimental results demonstrate that the improved algorithm yields an increase in mAP of 2.1% and 1.1% in the Qinghai Farmer Painting dataset and the Thangka dataset, respectively., compared with YOLOv6s. To verify the generality of the improved algorithm, the training was validated in the PASCAL VOC2012 dataset, and the calculated mAP was improved by 0.3% compared to YOLOv6s.
Real-Time Face Expression Recognition Monitoring Using Deep Learning
Authors: Xu Yuan
Published: March 2024

Face expression recognition plays a crucial role in emotion recognition, human-computer interaction and other fields. The aim of this paper is to implement a deep learning-based monitoring system for real-time facial expression recognition. In this paper, a public expression dataset ExpW is used, which is a widely used public face expression dataset. The dataset contains face images from various scenarios in the real world, covering a rich variety of expressions, encompassing seven major expression categories: anger, disgust, fear, happiness, sadness, surprise, and neutrality. The YOLOv5 target detection algorithm is selected on the deep learning framework for the training and testing of the training set, which is a high-performance algorithm for fast and accurate implementation of the target detection task through a simplified network structure and optimized algorithm design. The experimental evaluation results can be concluded that the system in this paper achieves accurate expression recognition in real-time scenarios. The results of this paper show that real-time face expression recognition monitoring based on deep learning has potential applications in emotion recognition and human-computer interaction.
Improved Object Detection Algorithm for Small Mechanical Parts Based on YOLOv7
Authors: Xu Qi , Guo Jian , He Zhaorong
Published: March 2024

Traditionally, the sorting of small mechanical parts has heavily relied on artificial vision, which is prone to false or missed detection. The emergence of deep learning-based object detection algorithms offers promise to solve this problem. However, the small size of mechanical parts makes it challenging to achieve high accuracy. To address this issue, an improved object detection algorithm based on YOLOv7 is proposed. Firstly, the CBAM attention module is incorporated into the YOLOv7 to emphasize object features and suppress secondary information. Furthermore, the YOLOv7 is integrated with the switchable atrous convolution (SAC) to enhance the feature extraction capability. SAC allows the model to select the outputs of the convolution adaptively. Finally, to realize a more precise localization of the proposed algorithm, the CIoU loss function is replaced with the Wise-IoU v3 (WIoU v3) loss function. The proposed algorithm’s effectiveness is substantiated through extensive experimental evaluations and achieves a remarkable mean Average Precision (mAP) score of 96%, surpassing the original YOLOv7 by 18.6%. The experiment results demonstrate the excellent performance of the proposed algorithm.
ImS-MCTS: A New Importance Sampling MCTS Algorithm for Discrete Event System
Authors: Ou Tianxiang , Lu Yanan , Wang Yupeng , Wu Xuesong , Cao Jianwen
Published: March 2024

With the emergence of a discrete event system (DES), the research community is developing in the direction of various issues within it. In this kind of system, the decision-making problem is one of the core issues. In this paper, we build a new decision-making algorithm ImS-MCTS based on Monte Carlo Tree Search (MCTS). As for decision-making problems, MCTS family is a state-of-the-art kind of algorithms, this kind of algorithm can be decomposed into tree search and Monte Carlo (MC) method. The MC method approximates the value function of the current state by simulating future states. Researchers face the challenge of capturing rare events during simulation to make accurate estimations, resulting in a huge number of samples being required, which is often impractical in reality. To solve this problem, we propose ImS-MCTS to improve the traditional MC method through importance sampling. The improvement reduces the sampling frequency of non-rare events by probability mapping, effectively reduces the sample space, and helps tree search compute more efficiently. We design experiments in autonomous driving. The results show that: compared with traditional MCTS methods, ImS-MCTS can improve the success rate of collision avoidance by about 7.12% and reduce the time cost by about 6.24% in the test road section, which indicates that ImS-MCTS makes better decisions.
Distributed Red Fox Optimized CatBoost Algorithm for Medical Anomaly Detection
Authors: Chen Hongwei , Wu Tao , Chen Lun
Published: March 2024

Abnormality detection is a very popular research direction in the medical field; however, most of the existing methods have high requirements on the data type of the dataset and require tedious feature engineering. To address the above problems, this paper proposes a distributed optimized category-based feature boosting algorithm for constructing efficient anomaly detection models. The algorithm uses CatBoost for the numericalization of category-type features and model training and introduces the improved Red Fox optimization algorithm for parameter optimization to enhance the accuracy of the model. Finally, the Spark distributed computing framework is utilized for distributed training of the model to reduce machine configuration requirements and improve efficiency. Experiments are conducted using multiple medical datasets, and the experimental results show that the optimized CatBoost model performs well on multiple metrics, and the distributed training reduces the training time by approximately 70% compared to the stand-alone training time, which proves the effectiveness of the method.
Construction and Evaluation of Mobile Payment User Experience Model
Authors: Meng Qi
Published: March 2024

This study takes human behavior as research subject to investigate the behavioral logic of mobile payment user experience. The study firstly analyzes the scope, characteristics, and importance of user behavior in experience design of mobile payment. Secondly, the study explores the elements and laws of user behavior that affect the experience in the process of using the product, and then constructs the mobile payment user experience model (PPE). Thirdly, the study applies a PPE model to evaluate the Alipay’s user experience, and then optimizes the model’s interaction design according to the evaluation results. Finally, the effectiveness of the PPE model is evaluated again. In addition to the interaction interface design, the PPE model involves many dimensions that require the cooperation of different stakeholders to promote the optimization of user experience. The results show that the PPE model is an effective way to optimize the user experience of mobile payment.
Research on Digital Health Applications Based on the Persuasion Model
Authors: Liu Junxiao , Cao Xianghui
Published: March 2024

Based on the background of building a common strategic plan for a healthy China and a digital China, the application scenarios of digital health are showing an increasingly rich development trend and their growth potential is expanding. This study delves into how persuasive design influences users’ emotional encounters within the Keep app (An exercise and health application) and examines the connection between this emotional involvement and users’ usage patterns, to bring more and more effective solutions for achieving success in persuading people to form a sustainable healthy lifestyle. Based on the FBM behavioral model (Fogg behavioral model), the Keep app persuasive design is classified into the motivation element oriented to provide feedback and rewards, the competence element oriented to provide courses and personalized customization of plans, and the trigger element oriented to situational triggering and voice guidance, and adopts the PAD affective model and self-reported questionnaire to combine the persuasive design with the user’s emotional experience, which not only provides the quantitative data support, but also deeply explores the user’s emotional experience in the emotional experience, and the user’s emotional experience in the emotional experience. It also explores the users’ feelings and feedbacks in terms of emotional experience. The analysis results show that different persuasive design modules generate different emotional experiences, which have different strengths of influence on user behavior. Meanwhile, practical suggestions on how to optimize and improve the persuasive design of sports and health apps, and how to balance the relationship between persuasion and user autonomy are proposed, which provide certain references and insights for designers and researchers in the field of digital health related areas.
The Application of Interpretive Structural Modeling in Diabetes Health Management App Interface Design
Authors: Zou Yajing , Cao Xianghui
Published: March 2024

This article aims to optimize the interface design of a diabetes health management app, guided by the Interpretative Structural Modeling (ISM) and Matrice d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) models. Through a literature review, 10 key factors influencing app interfaces were identified, and their importance, hierarchical structure, and MICMAC results were extensively studied. Targeted interface recommendations are proposed to meet the specific needs of diabetes patients, ultimately enhancing their quality of life and health.
Innovation Research on Wearable Device for Neck Pain Prevention Based on Accelerometer Sensor Technology and Perceptual Interaction
Authors: Li Shanshan , Wang Yicheng
Published: March 2024

Based on extensive data from individuals experiencing neck pain and considering the prevention and treatment needs associated with relevant diseases, this study proposes an innovative application of accelerometer sensor technology in perceptual interaction. Utilizing user surveys and the analysis of demand weights, the research employs a combination of hardware and software to guide users in health-promoting exercises, offer enjoyable physical activities, and provide posture detection reminders through a gamified approach. This approach aims to promote the ’preventive treatment of disease’ or rehabilitation training. The visualization of personal data statistics generated during this process can assist users in better managing their daily health. Looking ahead, this research could serve as an example of a decentralized health management solution, aiming to alleviate the pressure on medical resources and assist a broader population.
WellGuard: An Interactive System for New Parents to Care for Their Babies
Authors: Xie Yuan , Yao Yousheng , Huang Zhihao , Chen Zhenhua , Tang E. , Pan Xiqin , Zheng Junpeng , Zhan Junqi , Peng Jin , Chen Haoteng
Published: March 2024

The increase in the number of infants is a clear trend as society develops and demographics change. In this situation, the health of infants becomes particularly important. Infants, due to their physiological peculiarities and underdeveloped immune systems, are, firstly, relatively sensitive to temperature changes. Their ability to regulate body temperature is not as perfect as that of adults, and they are easily affected by the external environment, making it more difficult to maintain a stable body temperature. Effects of abnormal body temperature in infants. Abnormal body temperature in infants may lead to many health problems, including but not limited to fever, hypothermia, generalized discomfort and restlessness, and decreased sleep quality. The inability of infants to actively express temperature discomfort, which can be easily overlooked, makes it important to monitor and regulate infant body temperature. Therefore, in this paper, we introduce WellGuard, a system that helps parents to effectively master basic infant care. WellGuard consists of a stroller and an app that provides real-time feedback based on the infant’s body temperature and ambient temperature while the infant is using the stroller, and changes in the infant’s body temperature as well as ambient temperature are recorded. Experimental tests were conducted to determine the basic performance of WellGuard, and a preliminary user study of WellGuard was also conducted, which showed that parents were more receptive to WellGuard and more confident in caring for their infants during the learning process.
Mandala Painting Therapy and Its Potential Applications in UI Design of Healing Apps
Authors: Wang Rui , Zhang Shiman , Wan Li , Liu Hang , Wang Zhi
Published: March 2024

In today’s fast paced society, more and more people are beginning to need psychotherapy. And art healing, as a mental health treatment, provides a very beneficial way to help people deal with these problems. However, due to cost and time constraints, many people find it difficult to turn to doctors after having emotional or psychological problems, so healing apps are gradually appearing in people’s view. Mandala Painting Therapy is a psychotherapeutic method using painting as a medium to help people relieve stress, anxiety and emotional distress through painting and color. Extracting elements from mandala painting and combining them with UI design in healing APPs can enhance the uniqueness, aesthetic value and user experience of the interface, while providing users with a meditative and relaxing experience. This combination can help APPs stand out in the market and attract users’ attention and love. Therefore, this paper will use the literature analysis method to analyze the origin of mandala and the principle and mechanism of mandala painting therapy, so as to explore the design strategy of mandala painting applied to healing apps in order to improve the healing effect of healing apps.
Focus-G: Intelligent Toy Gun for Enhancing Children’s Attention Skills
Authors: Zhan Junqi , Yao Yousheng , Zheng Junpeng , Xie Yuan , Huang Zhihao , Tang E. , Pan Xiqin , Peng Jin , Chen Haoteng , Chen Nuo
Published: March 2024

This study introduces Focus-G, an innovative toy model for cultivating children’s attention using novel physical training, real-time feedback, and data analysis. Two main training modes, Accumulation Shooting, and Rapid Response, are conducted in a gamified format. Preliminary user experiences indicate positive effects on children’s attention, with high satisfaction levels. Limitations were identified, suggesting future improvements such as diverse casing designs, long-term tracking, and in-depth qualitative analysis. The innovation lies in the comprehensive application of physical training, real-time feedback, and data analysis, offering a holistic and personalized tool for children’s attention cultivation.
Enhancing Cognitive Engagement in the Elderly: Design of Entertaining Wearable Devices
Authors: Hong Ningxuan , Wen Yanqun , Zhang Meng Ting
Published: March 2024

In the context of a growing aging population, characterized by a lack of established digital product thinking models and reliance on singular physical facilities for leisure activities, this study employs user portraits of the elderly to inform the design of entertainment wearable devices. Utilizing experience design as a central methodology, the project introduces head-mounted projection headphones and touch sticks endowed with writing and drawing functionalities as primary product platforms. By synergizing these components, elderly users are immersed in an interactive crossword puzzle game, fostering an engaging and deliberative cognitive experience, thereby addressing specific cognitive and leisure needs within this demographic. This innovative approach offers a promising solution to enhance the digital engagement and cognitive stimulation of elderly individuals.
Strategic Design for Enhanced Medical Transport Stretchers in High-Rise Residential Environments
Authors: Zhao Sixiao , Zhang Meng Ting
Published: March 2024

This paper addresses critical issues surrounding the design of medical transport stretchers within the context of high-rise residential settings. It centers on the exigencies and challenges faced by medical emergency response teams operating in residential environments. Through an exhaustive analysis of medical rescue services, stretcher functionalities, and constraints posed by building spaces, this study delineates the specific design requisites imperative for stretcher optimization. It underscores that the effectiveness of both the stretcher and its operation is significantly in1fluenced by contextual factors, such as environmental conditions and operator proficiency. Building upon these insights, this research endeavors to advance stretcher design through innovative and tailored solutions. This work aims to contribute to the evolution of stretcher technologies, ultimately enhancing the efficacy of medical emergency responses in high-rise residential scenarios.
Innovative Flow-Cleaning Faucet Design for Health Prevention in Public Places
Authors: Zhai Cheng , Zhang Jie , Chen Yiqi
Published: March 2024

With the rapid outbreak of the highly contagious disease of pneumococcal pneumonia worldwide, social unrest and panic are spreading rapidly. Although the episode has been brought under some control, we cannot relax our pace of self-protection. Epidemiological surveys have shown that hand contact is a more dangerous means of transmission than airborne transmission, so washing hands frequently is the best defense against the epidemic. However, in public places, people’s hand-wash behavior is often at risk of information, and there are situations where hand-wash facilities are difficult to meet the demand. Following the product development process and based on user demand points and pain points from field research, this paper explores the hand-cleaning challenges in public places. In response to this problem, we have redesigned the running water faucet. Through innovative product structure and function exploration, we aim to reduce the risk of disease transmission from the design perspective and contribute to creating a healthier social environment.
Research on Artificial Intelligence Painting APP Interface Design Based on Kansei Engineering
Authors: Wang Zeng , Ye Ze-fei , Zheng Yu-chen , Zhong Dan
Published: March 2024

Amidst the global dissemination of information and the rapid advancement of AI technology, AI painting has received extensive attention within the industry. Increasingly, designers are leveraging AI painting to enhance both the quality and efficiency of their designs. However, prevalent AI painting designs often neglect users’ genuine needs and psychological considerations. In response to this issue, the entropy weight-TOPSIS method and Kansei engineering theory have been employed to construct a technical architecture for the interface design of AI painting APPs. Through a comprehensive assessment encompassing user perceptual cognition and interface functionality, the effectiveness and practicability of the proposed method are validated using a case study involving an AI painting APP. The findings indicate that the method effectively evaluates the interface design, optimizes the design scheme, enhances user experience, and serves as a valuable reference for the future interface designs of AI painting APPs.
A Type of Human-Computer Collaborative Device Suitable for Children’s Reading
Authors: Wu Xinlin , Chen Yanmei , Zhang Jinyuan , Liu Yu , Li Hainan
Published: March 2024

In 2023, addressing the critical challenge of global children’s reading difficulties, this study introduces an innovative, device-based interactive reading solution tailored for children with reading and arithmetic challenges. This device, integrating human-computer collaboration technology, aims to offer an intuitive and personalized learning experience to over 90% of developmentally challenged children in low- and middle-income countries [1]. The study elaborates on the usage of “human-computer collaborative children’s books” and the interactive devices designed for specific reading content. It details the software and hardware design and user experience, including real-world usage scenarios. Compared to existing methods, this approach not only enhances children’s reading and comprehension skills but also increases their engagement and interest through interactive games and activities. The effectiveness of the reading device is demonstrated through user experience and feedback.
Clustering Research on Collaborative Knowledge Building Characteristics of Team Games Based on Interaction Analysis Model
Authors: Li Jiaying , Jin Hua , Fan Yifeng , Ji Qianhui , Ou Tianyi , Ren Shuai , Zhang Jin , Li Xiaoyang
Published: March 2024

To enable educators to make informed choices based on the collaborative knowledge building characteristics of team games, this paper will systematically extract the collaborative knowledge building characteristics of multiple team games. First, the behavior of collaborative knowledge building in team games is quantified based on the five behavioral phases of the Interaction Analysis Model (IAM) to determine the five-dimensional data set of collaborative knowledge building eigenvalues of 112 team games. A comprehensive examination is conducted on the overall profile and data similarity relationships, and 8 team games with highly ambiguous similarity relationships are removed to ensure the accuracy of clustering. It is found that the collaborative knowledge building characteristics of team games exhibit fuzzy similarity relationships. Subsequently, based on this, the Fuzzy C-Means (FCM) algorithm is employed to identify 8 collaborative knowledge building characteristics within 104 team games. Based on this, selected and retained a total of 36 team games with a high level of credibility within their respective categories. Finally, the collaborative knowledge building characteristic of each category is represented in the form of five-dimensional radar charts to analyze their distribution characteristics and establish the corresponding relationship between the characteristics and team games.
Application of Digital Technology in Environmental Literacy Education for Teenagers
Authors: Shuai Yashi , Chen Qiang , Yu Yixin , Wang Shuqi , Wan Ran
Published: March 2024

The purpose of this paper is to explore the effect of virtual environment based on digital technology in improving teenagers’ environmental literacy level. By designing a control study, participants were divided into experimental group and control group with different environmental literacy education methods, and T-test was used to analyze and evaluate their environmental literacy level changes before and after the experiment. Interviews were conducted after the experiment to explore the intervention effect of virtual environment on the environmental literacy level of adolescents. After t test, both groups showed significant improvement in the comprehensive scores of environmental literacy assessment. Moreover, the difference of the experimental group was more significant than that of the control group, especially in environmental awareness, environmental attitude and environmental behavior. (***p < 0.001). The interview results show that 90% of the participants in the experimental group believe that the virtual environment provides a better learning experience and improves their learning efficiency. In contrast, 70% of participants in the control group believed that the content of regular education had brought them great benefits. The role of digital technology in environmental literacy education is significantly higher than that of conventional education group. This finding provides scientific support for the improvement and innovation of environmental literacy education, and can encourage the application of virtual digital technology in environmental literacy education.
Trusted Management Based on Environmental Monitoring Under the Public Chain
Authors: Rao Jian , Fang Tianci , Han Xinyun , Wang Haiwen
Published: March 2024

The importance of environmental monitoring in today’s world is self-evident. Our lives, health and sustainable future all depend on our understanding and protection of the ecological environment. However, traditional environmental monitoring systems are inadequate when faced with increasing data requirements, data credibility and other issues. The characteristics of the public chain blockchain such as non-tampering, openness, and decentralization have brought a ray of light to environmental monitoring. It is expected to improve the trustworthy management of environmental monitoring at the technical level, improve the public’s awareness of environmental protection, and standardize environmental protection behavior. In this paper, we will study how the public blockchain can empower environmental monitoring and improve the problems it currently faces, such as data fraud, excessive emissions from pollution sources, and frequent environmental destructive behaviors. Discuss in the era of rapid development of digital technology. How can the public chain assist the credibility of environmental monitoring data, how to create an open and transparent environmental monitoring data sharing platform, and promote the protection of the ecological environment.
The Study and Development of Personal 3D Modeling Generator Based on Parametric Design
Authors: Li Enxin , Zhou Rui , Hsu Suchu
Published: March 2024

This study introduces a system called “Personal 3D Modeling Generator”, which was created through the parametric software Grasshopper. This system collects, analyzes, and transforms gesture trajectory data into 3D model outputs. By leveraging visual features such as the path, outline, and size of gesture trajectories, this system generates unique 3D artworks for each individual gesture trajectory data. The multi-sensory interpretation of this data art provides users with the ability to create personalized artworks by crafting their own “gesture trajectory signatures”, enabling a multitude of interactive experiences.
Research on Companion Experiments Based on Metaverse on the Psychological Well-Being of Senior Citizens Living Alone
Authors: Gao Yuan , Xu Ziyu , Ying Fangtian , Yao Yousheng , Wang Haiwen , Hu Yuqi , Xue Mengru
Published: March 2024

With the continuous advancement of technology, the metaverse, as an extension of virtual reality, has permeated various aspects of society and found widespread applications. Elderly individuals living alone, as a group lacking companionship and care, may potentially benefit from the application of the metaverse, offering them a new social and life experience. This study aims to explore the impact of metaverse application on the psychological well-being of elderly individuals living alone.
Road Profile Modelling Based on Measurement for Fire Truck Simulation
Authors: Hajdú Flóra , Mika Péter , Szalai Péter , Kuti Rajmund
Published: March 2024

The unevenness of the road reduces the life of the vehicle’s suspensions, and the resulting harmful vibrations can also lead to the failure of other structures. In case of special superstructures like fire trucks, valuable firefighting equipment can also be damaged. Since there is little available literature dealing with the vibrations generated during the use of firefighting vehicles, in this research work a real road profile based on data from geodetic measurements was generated for numerical simulation. The suspension of the vehicle taking into account the parameters of a heavy-duty firefighting vehicle was also modelled, and then the effects of road failures using computer simulation were investigated. The road profile was implemented in the simulations with spline polynomials and the fire truck was simulated as a full vehicle model. The aim of the research is to compare the achieved simulation results with data from other vehicle research studies, thereby achieving more accurate results that can also be applied in practice, contributing to vehicle design and safe operation.
Pemanfaatan Pekarangan Rumah dengan Bercocok Tanam Melalui Metode Hidroponik
Authors: Jafaruddin Nurhana
Published: March 2024

The community service activity held for PKK RT 06, Jakasetia Village, South Bekasi, aims to address the issue of restricted land in urban areas, which can be an impediment to farming. Farming with hydroponic techniques is one of the efforts that can be made. This service activity intends to use residential yards as potential land, grow vegetables fit for consumption by family members, and raise awareness of good and successful hydroponic farming practices. The Participatory Action Research (PAR) method was used in this activity, which included counseling, plant training, and talks about hydroponic practices. Providing material, tutorials on how to build hydroponic plants, and discussions are all stages of service operations. The outcomes of this activity revealed that the PKK group's knowledge of how to make home yards more lovely and gorgeous without requiring too much land elicited passionate replies and even a strong desire to try making plants using hydroponic technology.
Pendampingan Pengembangan Kurikulum Terpadu pada Binar Ilmu Boarding School Cimenyan Bandung
Authors: Uyun Aip Syepul
Published: March 2024

This article provides a brief  description on how to conduct curriculum development in educational institution. This measure has a significant position in our educational system. Curriculum development is a comprehensive process for determining the needs of a group of learners and for developing the aims or objectives of a school. This is manifested in the form of subject structures, teaching methods, and materials, as well as the evaluation process. This community service was carried out directly by evaluating the existing curriculum. Curriculum development activities were conducted in two months. The curriculum was discussed with the teachers and revised and adapted to the needs of institution at at Binar Ilmu Boarding School, Cimenyan, Bandung. The Participants were all  teaching staff and all stakeholdrer school. This activities were caried out in three major stage. It was evaluating existing curriculum, revitalizing the existing curriculum and finishing. From those activities, it was produced the new curriculum of institution namely BIBS Curriculum.
Sosialisasi tentang Pentingnya Peran Orang Tua bagi Remaja dan Anak-Anak dalam Penggunaan Internet
Authors: Wijana Miki , Setiawan Rizal
Published: March 2024

The development of information and communication technology is a very rapid breakthrough. Internet is a medium of information and communication that is connected globally and can be accessed by anyone and anywhere. Cibungur village is one of the villages in the Rancakalong sub-district, Sumedang district. People are very worried about the negative impact of the development of internet technology, especially for children and adolescents. With the phenomenon of technological development in Cibungur Village, it is necessary to provide understanding regarding the involvement of parents, especially those with small children or teenagers, how to anticipate children's dependence on accessing the internet. This research  uses that method Community Based Research (CBR), including building the basic principles and concepts of research, research planning, Information gathering and analysis then action on the findings. After the implementation of the training, the Cibungur Village community represented by village officials, community leaders and parents with young children/adolescents could better understand the important role of parents for children in using the internet. So that children can control their daily activities, do not abandon the habit of studying through stationery, avoid addiction or bad habits of excessive use of electronic devices and use the internet as needed.
Profitabilitas dan Peluang Pengembangan Agroindustri Gula Kelapa dalam Sistem Agribisnis Kelapa (Cocos nucifera L.)
Authors: Hardiyanto Tito
Published: March 2024

Coconut sugar agro-industry is one of the important commodities as a reliable source of income. This study aims to determine: (1) Profitability and profitability of the coconut sugar agro-industry business; and (2) Opportunities for developing coconut sugar agro-industry in Sukanagara village, Lakbok District, Ciamis Regency. The method used is a survey method, by taking the case of farmers who coconut sugar business in the village of Sukanagara, Lakbok District, Ciamis Regency. The research location is Sukanagara village with consideration of the results of these studies can provide solutions to increase coconut sugar production capacity to be in harmony with other villages. Determination of farmer respondents was conducted by census of 31 farmers. Analysis tools to determine the profitability of coconut sugar agro-industry can be seen from the costs incurred and the revenue generated in the production process, while the development opportunities are seen from the income and level of employment. The results showed that: (1) The use of total costs (production costs) in the coconut sugar agro-industry in the production process was Rp. 78,264.57 and Rp. 101,100. (2) The opportunity for developing coconut sugar agro-industry in Desa Sukanagara village is quite promising because the coconut sugar agro-industry is able to generate a profit of 29.18 percent of the capital spent in one production process. In addition, employment in the coconut sugar agroindustry in Sukanagara Village is 2.47 percent of the village workforce, although the percentage is small, it has been able to contribute to employment in Sukanagara Village.
Mempelajari Pengaruh Konsentrasi Maltodekstrin dan Polivinil Pirolidon (PVP) terhadap Karakteristik Sifat Fisik Tablet Effervescent Kopi Robusta (Coffea robusta Lindl)
Authors: Herlinawati Lina
Published: March 2024

Effervescent tablets are soft drink products that contain organic acids such as citric acid and sodium bicarbonate, which react quickly in water by releasing carbon dioxide. The purpose of this research is to increase the empowerment of coffee plants, namely Robusta coffee as a popular commodity, with Robusta coffee diversification into functional food products in the form of effervescent tablets. This study aims to determine whether there are variations in the concentration of maltodextrin and polyvinyl pyrrolidone (PVP) on the physical characteristics of robusta coffee effervescent tablets. The method / design used in this study is a Randomized Group Design pattern with each factor of three levels with three replications with variations in the addition of maltodextrin (10%, 15%, 20%) and PVP (2%, 3 %, 4%). The results showed that the concentration of maltodextrin as a filler had an effect on the physical response, namely hardness, dissolution time and weight uniformity of effervescent tablets of robusta coffee. Concentration of polyvinyl pyrrolidone (PVP) as a binder gives effect to the physical response, namely hardness and soluble time of effervescent tablets of robusta coffee. The interaction between maltodextrin concentration and polyvinyl pyrrolidone (PVP) concentration influences the physical response, namely hardness and soluble time of effervescent tablets of Robusta coffee. Based on the results of the study, the best treatment was obtained at 15% maltodextrin concentration and 4% PVP concentration.