bluuebunny/crossref_metadata_2025 huggingface dataset:
Determinan Kepemimpinan Altruistik, Intensitas Konflik, Kualitas Pengembangan Diri Terhadap Kepuasan Kerja Pegawai
Authors: A Rahim  , Bambang Supeno  , Fahmi Oemar
Published: March 2024

Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh kepemimpinan altruistik, intensitas konflik, kualitas pengembangan diri terhadap kepuasan kerja pegawai. Penelitian ini menggunakan pendekatan deskriptif kuantitatif untuk mengukur pengaruh kepemimpinan altruistik, intensitas konflik, kualitas pengembangan diri terhadap kepuasan kerja pegawai di Sekretariat DPRD Kabupaten Kepulauan Meranti. Analisis data yang peneliti gunakan adalah metode deskriptif kuantitatif. Sedangkan untuk mengetahui pengaruh antara variabel menggunakan aplikasi SEM-LISREL 8.80. Dari hasil pengujian hipotesis dapat disimpulkan bahwa kepemimpinan altruistik berpengaruh signifikan terhadap intensitas konflik, kepemimpinan altruistik berpengaruh signifikan terhadap kualitas pengembangan diri, kepemimpinan altruistik, intensitas konflik dan kualitas pengembangan diri berpengaruh signifikan terhadap kepuasan kerja pegawai, intensitas konflik dan kualitas pengembangan diri terbukti sebagai variabel mediasi antara kepemimpinan altruistik terhadap kepuasan kerja. Hal ini dibuktikan dengan nilai signifikan (p-value) kurang dari 5%.
Analisis Pengaruh Strategi Pengembangan Manajemen SDM dan Komunikasi Organisasi Terhadap Kinerja Karyawan PT. Green Global Sarana Dengan Budaya Organisasi Sebagai Variabel Intervening
Authors: M. Dunir  , Fatkhurahman  , Bambang Supeno
Published: March 2024

Tujuan dari penelitian ini adalah untuk mengidentifikasi variabel-variabel yang memiliki pengaruh besar terhadap kinerja karyawan PT. Green Global Sarana. Proposive sampling yang didasarkan pada kriteria tertentu adalah teknik pengambilan sampel yang digunakan. Penelitian ini menggunakan 45 populasi dan 45 sampel. Data kemudian dianalisis statistik deskriptif, diikuti dengan analisis jalur, (Smart PLS). Terdapat uji outer model dan inner modal dalam analisis partial last squares (PLS), dan koefisien determinasi yang mengukur seberapa besar pengaruh variabel independen terhadap variabel dependen adalah sebesar 0,678% atau 0,695%. Hasil penelitian ini adalah: Strategi pengembangan SDM berpengaruh negatif tidak signifikan terhadap kinerja karyawan, Komunikasi organisasi berpengaruh positif tidak signifikan terhadap kinerja karyawan, Strategi pengembangan SDM berpengaruh positif tidak signifikan terhadap budaya organisasi, Komunikasi organisasi berpengaruh positif signifikan terhadap budaya organisasi, Budaya organisasi berpengaruh positif signifikan terhadap kinerja karyawan, Strategi pengembangan SDM berpengaruh positif tidak signifikan terhadap kinerja karyawan melalui budaya organisasi, dan Komunikasi organisasi berpengaruh positif signifikan terhadap kinerja karyawan melalui budaya organisasi.
Analysis of Patient Satisfaction in the Registration Section at the Regional General Hospital in Mandau District, Bengkalis Regency in 2023
Authors: Nasution Gunung , Fahmi Oemar  , Rinayanti Rasyad
Published: March 2024

This study was conducted at the Mandau District General Hospital in Bengkalis Regency with the goal of determining patient satisfaction at the registration section in 2023 by looking at the level of satisfaction based on five quality dimensions, namely Reliability, Responsiveness, Assurance, Empathy, and Tangibles. A quantitative research design with a cross-sectional design was used in this investigation. This study's sample size was 300 persons. The Mann Whitney test was used to analyze data using univariate and bivariate analysis. According to the findings of the investigation, the overall level of patient satisfaction with the registration part was high for the majority of 184 people (61.3%). JKN patients have a modest level of satisfaction in the majority of quality characteristics. JKN patients reported moderate satisfaction on the reliability dimension, 52% on the responsiveness dimension, and 58.7% on the assurance dimension. Meanwhile, patients had high levels of satisfaction on the areas of empathy and tangibles, with 57.2% and 74.7%, respectively. Non-JKN patients had a high degree of satisfaction in all quality dimensions. 55.3% of Non-JKN patients reported high satisfaction on the reliability dimension, followed by 69.3% on the responsiveness dimension, 66.7% on the assurance dimension, 78% on the empathy dimension, and 80% on the tangibles component. There is a significant difference between the satisfaction of JKN and Non-JKN patients with the registration services at the Mandau District Hospital, Bengkalis Regency in 2023.
Evaluasi Kinerja Pelaksanaan Anggaran Berdasarkan Indikator Pelaksanaan Anggaran (IKPA) Pada Kejaksaan Tinggi Riau
Authors: Elvina Armista  , Fahmi Oemar  , Rizqa Anita
Published: March 2024

Penelitian ini bertujuan untuk mengetahui dan menganalisis Evaluasi Kinerja Pelaksanaan Anggaran Berdasarkan Indikator Pelaksanaan Anggaran (IKPA) Pada Kejaksaan Tinggi Riau. dan kendala yang dihadapi dalam Evaluasi Kinerja Pelaksanaan Anggaran Berdasarkan Indikator Pelaksanaan Anggaran (IKPA) Pada Kejaksaan Tinggi Riau. Kajian ini menggunakan metode studi pustaka (library research). Studi pustaka adalah kegiatan membaca dan menulis untuk mengumpulkan data, kemudian data tersebut diolah sebagai bahan dalam penelitian. Adapun metode mengumpulkan data yang digunakan dalam penelitian ini adalah dengan membaca beberapa karya ilmiah, seperti jurnal, text book, dan berbagai dokumen yang dianggap relevan. Kemudian data tersebut ditelaah, dianalisis, bahkan dikomparasikan, kemudian disimpulkan dan ditulis dalam bentuk karya tulis ilmiah. Hasil penelitian menunjukkan bahwa kinerja perencanaan anggaran dengan pencapaian 68,97% dalam kategori baik, kinerja pelaksanaan anggaran dengan pencapaian 78,51% dalam kategor baik, kinerja pertanggungjawaban mencapai 68,73% dalam kategori baik, kinerja Evaluasi anggaran mencapai 65,72% dalam kategor baik dan kinerja Akuntabilitas Aparatur Pemerintah sebesar mencapai 70% dalam kategori baik.
SURVEY ON HUMAN COMPUTER INTERACTION PRINCIPLES ON SUBSCRIPTION VIDEO ON DEMAND PROVIDER
Authors: Christine  , Deli Deli
Published: March 2024

Human Computer Interaction is the processes or activities carried out by humans interacting with computers, which provide feedback through an interface to obtain expected results. This research is to compare the usability of Netflix and Disney+ Hotstar based on its user experience by using the Human Computer Interaction Principles (HCI). User Experience is described as experiences related to reactions, perceptions, behaviors, emotions and thoughts of users when using the system. This research will be conducted by using quantitative research through User Experience Questionnaire (UEQ). There are two UEQ, one for Netflix’s users and one for Disney+ Hotstar users. A total of 400 respondents, who were 200 Netflix users, and a total of 200 respondents, who were Disney+ Hotstar users, provided data for the study. To ensure the robustness of the collected data, rigorous validity and reliability tests were conducted using the Statistical Package for the Social Sciences (SPSS). The results of the analysis show that all data that has been obtained can be categorized as valid or accepted.
PENGEMBANGAN WEBSITE E-LEARNING BERDASARKAN PREFERENSI MAHASISWA UIB DENGAN METODE RESEARCH AND DEVELOPMENT
Authors: Hendi Sama  , Eric
Published: March 2024

Sejak pandemi COVID-19 melanda seluruh dunia, Proses pembelajaran siswa dan mahasiswa telah berubah. Banyak sekolah dan universitas yang mengubah pembelajaran dari yang awalnya tatap mata menjadi online. Salah satu sumber daya yang diperlukan untuk melakukan pembelajaran secara online adalah E-Learning. Oleh karena itu, e-learning harus memiliki fitur yang baik dan berguna agar proses pembelajaran siswa dan mahasiswa dapat berjalan lancar. Saat ini, ada beberapa alat pembelajaran yang digunakan seperti moodle, edmodo, wordpress, dan lain-lain. Pada penelitian ini akan menggunakan moodle untuk mengembangkan website e-learning berdasarkan preferensi mahasiswa UIB dengan metode Research and Development. Hasil dari penelitian ini adalah analisis fitur-fitur yang diperlukan dalam website e-learning agar proses pembelajaran online dapat berjalan lancar.

 

Since the COVID-19 pandemic hit the entire world, the learning process for pupils and students has changed. Many schools and universities have changed learning from face-to-face to online. One of the resources needed to carry out online learning is E-Learning. Therefore, e-learning must have good and useful features so that the learning process for pupils and students can run smoothly. Currently, there are several learning tools used such as Moodle, Edmodo, WordPress, and others. In this research, we will use Moodle to develop an e-learning website based on UIB student preferences using the Research and Development method. The result of this research is an analysis of the features needed on an e-learning website so that the online learning process can run smoothly.
WEBSITE PEMBELAJARAN ALGORITMA DENGAN VISUALISASI: KASUS JALUR LABIRIN DENGAN ALGORITMA PATHFINDING
Authors: Suwarno Suwarno , Pratama Jimmy , Vendryan
Published: March 2024

Understanding pathfinding algorithms is crucial for programmers. Pathfinding algorithms have been applied in many domains, including robotics, network routing, video game, and GPS. Computer science students are taught this pathfinding algorithm in their classes. Without concrete examples, algorithms have always been an abstract idea that is challenging to understand. Based on this, the research developed a website for the pathfinding algorithm visualization using the ADDIE method, which visualizes the maze's completion by employing the Breadth First Search, Depth First Search, and A* search. Subsequently, study was conducted utilizing the UTAUT model to analyze the components that motivate students to utilize the website. The study found that factors such as ease of use and comfort when using a pathfinding website's visualization algorithm increase students' willingness to use it and social factors have no influence on students.
АНАЛІЗ СТАНУ ТА ТЕНДЕНЦІЙ РОЗВИТКУ СЕКТОРА МАЛОГО ПІДПРИЄМНИЦТВА В ПРОЕКЦІЇ ЗАБЕЗПЕЧЕННЯ ЙОГО ФІНАНСОВОЇ БЕЗПЕКИ: ПРОБЛЕМНО-ОРІЄНТОВНИЙ АНАЛІЗ
Authors: ШОПСЬКА Юлія
Published: March 2024

У статті привернуто увагу до проблематики державної політики забезпечення фінансової безпеки сектора малого підприємництва України в ситуації існуючих ризиків та загроз її послаблення. Метою дослідження визначено здійснення аналізу стану та тенденцій розвитку сектора малого підприємництва в проекції забезпечення його фінансової безпеки. Ідентифіковано та охарактеризовано виклики фінансової безпеки суб’єктів сектора малого підприємництва регіону в умовах повномасштабної війни. Здійснено порівняльну характеристику кількості малих підприємств та фізичних осіб – підприємців в Україні та у Львівській області. Наведено порівняльну характеристику ланцюгових темпів зростання кількості малих підприємств та фізичних осіб – підприємців в Україні та у Львівській області. Надано характеристику ланцюгових темпів зростання обсягів реалізованої продукції малих підприємств та фізичних осіб – підприємців в Україні та у Львівській області. Здійснено порівняльну характеристику ланцюгових темпів зростання чисельності зайнятих на малих підприємствах та фізичними особами – підприємцями в Україні та у Львівській області. Здійснено аналіз показників розвитку сектора малого підприємництва Львівської області в структурі сектора малого підприємництва економіки України. Охарактеризовано параметри зайнятості в секторі малого підприємництва Львівської області. Наведено результати аналізування показників обсягів реалізованої продукції (товарів, послуг) суб’єктів сектора малого підприємництва Львівської області.
Technology and the Evolution of Civil Law: Implications of Cryptocurrency Transaction Regulation
Authors: Wahyuddin Fitrah , Sudirman Sudirman , Umar Wahyudi
Published: March 2024

This research investigates the regulatory implications of cryptocurrency transactions in the context of the evolution of civil law, including consumer protection, prevention of illegal activities, and maintenance of financial market integrity. The background of the research refers to the economic paradigm shift towards digital assets such as cryptocurrencies, which has changed the global financial transaction landscape. This research method involves a combined approach between civil law analysis, a literature study on blockchain technology, and a review of the latest regulations related to cryptocurrencies in Indonesia. The results show that the evolution of technology in cryptocurrencies has presented new challenges to conventional civil law. The unclear legal status of cryptocurrencies, security risks, and potential illegal use are significant concerns. The regulatory implications on cryptocurrency transactions in Indonesia illustrate the government's efforts to accommodate innovation while protecting the public interest. Some recommendations include a more collaborative approach between the government, the industry sector, and legal institutions to develop a regulatory framework that fits the characteristics of these technologies.
Juridical Review of the Strength of Electronic Evidence To Proof Online Lending Agreement
Authors: Meher Montayana , Ginting Lilawati
Published: March 2024

Online lending is a financial service provider for the community, with the granting of this online financial service license, it is hoped that the community, whose economy has been affected and has experienced setbacks during the Covid-19 pandemic, can be helped again to carry out their business activities. When viewed from the practical side, online loans are very helpful and make it easy for people to borrow money. Unlike banks or pawnshops that require a lot of administrative requirements and also collateral or collateral. The research in writing this scientific work is normative juridical research. Normative juridical research is research that examines the application of legal rules and norms related to the topic discussed. The nature of this research is descriptive, namely research that analyzes a legal regulation. All electronic documents in online lending and borrowing agreements that are affixed with valid electronic signatures and also carried out in accordance with the standard provisions stipulated in the Civil Code, ITE Law, and Financial Services Authority Regulations, are valid and strong as electronic evidence and have the same position as letter evidence. Therefore, every online lending and borrowing agreement in which the customer defaults, can file a lawsuit for default to the district court with initial evidence in the form of electronic documents.
THE ROLE OF NOTARIES IN THE IMPLEMENTATION OF THE LEASE PURCHASE SYSTEM AS AN ALTERNATIVE TO BUILDING OWNERSHIP IN PUBLIC HOUSING SAVINGS (TAPERA)
Authors: Pandita Nabila Dhiya
Published: March 2024

Notaries have an active role in implementing a new system, namely lease purchase system as an alternative to transferring a new land ownership rights based on the Public Housing Savings Management Agency Regulation Number 2 of 2023 concerning the Second Amendment to the Public Housing Savings Management Agency Regulation Number 6 of 2021 concerning Housing Financing for Public Housing Savings Participants (Peraturan Badan Pengelola Tabungan Perumahan Rakyat Nomor 2 Tahun 2023 tentang Perubahan Kedua atas Peraturan Badan Pengelola Tabungan Rakyat Nomor 6 Tahun 2021 tentang Pembiayaan Perumahan Bagi Peserta Tabungan Perumahan Rakyat). This is because to be able to apply the lease purchase system in a transfer of land ownership rights, an agreement is needed which for legal certainty to be made into a deed for the parties. Departing from the above, the problem raised in this research is how to implement the lease purchase system as an alternative to financing home ownership and the role of the Notary in making a lease purchase agreement deed which is used as an alternative to transfer land ownership rights. To be able to answer these problems, a normative juridical research method with an explanatory research typology is used. The conclusion that can be drawn from this research is that notaries play an important role in implementing the hire purchase system which has just been issued by BP Tapera as an alternative to transferring land and building ownership rights. So that in order to provide legal certainty, the lease purchase agreement needs to be made in an authentic deed made by a Notary.
Advocating for Disability Voting Rights in Framework Ius Constituendum
Authors: Taupiqqurrahman Taupiqqurrahman
Published: March 2024

Protecting and guaranteeing the rights of every citizen is the obligation of the state, but in fact there are still acts of discrimination in the rights of citizens experienced by persons with disabilities. One form of discrimination carried out is related to political rights by setting physical health requirements for prospective members of the DPR, provincial DPRD, and district/city DPRD. Although there is no definite limit to measure the level of physical health. In addition, the electoral law contradicts the law on persons with disabilities which states that persons with disabilities have political rights. The electoral law should provide an open space as a means for people with disabilities to become part of public office.  However, this will not be realized without a special quota for persons with disabilities to run as candidates for legislative members, as is the case with the quota of 30% female representation as prospective candidates for the DPR / DPRD and the determination of persons with disabilities as workers in government agencies at least 2% and 1% for private companies. Therefore, regulations should be added related to special quotas for persons with disabilities to become candidates for representation from political parties as election participants
Responsibility and Accountability in the World of Futures Trading: Analysis of Futures Brokers and Broker Representatives Under the Spotlight of Civil Law and BAKTI Arbitration"
Authors: Rahman Muhammad Sabir , Efendi Syamsul , Amboro Yudhi Priyo , Simanjuntak Kristi W , Elfikri Nurul Fazri , Rohani Aceng Asnawi , Agus Dede
Published: March 2024

This study aims to examine the role of Article 1367 of the Civil Code in determining the duties of Futures Brokers and Futures Broker Representatives in the context of Indonesian commodity futures trading, with a focus on the consequences for violations of these duties by Futures Broker Representatives. respond to it. This methodology is based on normative legal principles and is based on research into relevant literature and examination of BAKTI rulings in the field of commodity futures trading arbitration. Findings from this study highlight the importance of taking into account the Futures Broker Representative's level of professionalism as well as any applicable rules and regulations when determining the extent to which the Futures Broker is legally liable for the Futures Broker Representative's conduct. In order to provide fairness and clarity in commodity futures trading, this study's findings suggest that current rules need to be revised and adjusted. The study also suggests directions for future research on the dynamics of futures trading's legal aspects.
Dynamics of Progressive Law Implementation in Indonesia: Prospects and Challenges of Law in the Era of Industrial Society 4.0
Authors: Tanlim Kiki , Nita Surya , Badry Ahmad Ibrahim Badry
Published: March 2024

This article aims to analyse the dynamics of progressive law implementation in Indonesia, as well as explore the various prospects and challenges facing the law in the Era of Industrial Society 4.0. The method used in this research is a literature review of publications in leading journals. Through literature analysis, this article identifies several factors that affect the implementation of progressive law in Indonesia, especially in the era of Industrial Society 4.0. First, there are challenges in terms of understanding and awareness of the concept and implementation of progressive law among legal practitioners and the general public. This limited knowledge and understanding can hinder the application of progressive law in everyday legal practice. Second, institutional factors also play an important role in the implementation of progressive law. Lack of government consistency along with commitment from legal institutions, such as the courts and the police, can hinder the implementation of progressive law. In addition, other challenges such as weaknesses in the judicial system and its bureaucracy, potential conflicts in values and culture, and imbalances in regulation can also be obstacles to the implementation of progressive law. This article also identifies the future prospects of progressive law implementation in Indonesia. With a growing awareness of the importance of progressive law in achieving social justice, there is potential for positive change. With growing awareness of the importance of progressive law in achieving social justice, there is potential for positive change. Improved legal education, training, and public awareness can strengthen the implementation of progressive law in Indonesia. Overall, this article concludes that the implementation of progressive law in Indonesia faces significant challenges, but also has bright prospects for the future. Collaborative efforts from various parties, including legal practitioners, legal institutions, and the general public, are needed to strengthen the implementation of progressive law and achieve better social justice in Indonesia.
Faktor Tingkat Kecemasan Ibu Hamil Di Masa Pandemi Covid-19 Di Wilayah Medokan Semampir
Authors: PUTRI HIDAYATHILLAH ARISKA , Pamungkas Putri , Olinda Dwi
Published: March 2024

Pandemi Covid-19 menyebabkan banyak pembatasan hampir ke semua layanan rutin, baik secara akses maupun kualitas. Kondisi ini dapat menjadikan permasalahan secara psikologis bagi ibu hamil dan ibu nifas, yang dapat menimbulkan kecemasan. Tujuan penelitian ini adalah untuk mengetahui faktor yang mempengaruhi tingkat kecemasan ibu hamil di masa pandemi Covid-19 di wilayah Medokan Semampir. Metode penelitian ini yaitu menggunakan kuantitatif observasional analitik dengan desain cross-sectional. Populasi dan sampel dalam penelitian ini adalah ibu hamil sebanyak 41 orang dengan teknik sampling menggunakan total sampling. Pengumpulan data menggunakan kuesioner dan analisis data menggunakan uji chi-square. Hasil penelitian menunjukkan bahwa faktor usia mempengaruhi tingkat kecemasan ibu hamil dengan nilai p-value 0,020, faktor pendidikan mempengaruhi tingkat kecemasan ibu hamil dengan nilai p-value 0,000, faktor paritas mempengaruhi tingkat kecemasan ibu hamil dengan nilai p-value 0,021, faktor pengetahuan mempengaruhi tingkat kecemasan ibu hamil dengan nilai p-value 0,000. Kesimpulan penelitian ini yaitu faktor usia, pendidikan, paritas dan pengetahuan mempengaruhi tingkat kecemasan ibu hamil di masa pandemic covid-19 di Wilayah Medokan Semampir. Diharapkan bagi tenaga kesehatan untuk memberikan edukasi terkiat kehamilan dan pemeriksaan kehamilan untuk menambah informasi yang dapat mengurangi kecemasan ibu hamil.
Climate change and the future of medicinal plants research
Authors: Hounsou Emangbondji Koneï , Sonibare Mubo Adeola , Elufioye Taiwo Olayemi
Published: March 2024

Due to their pharmaceutical properties and secondary metabolites, medicinal plants have played a crucial role in alleviating human suffering from various illnesses, disorders, and diseases. Along with other natural and artificial disasters, rapid climate change is one of the critical causes of the decline in wild medicinal plant species. Therefore, considering their significance in traditional medicine practices and economic value, investigating the potential consequences of climate change on medicinal plants is specifically relevant. This review aimed to investigate the diversity of species of medicinal plants within current climate scenarios. Additionally, it assesses the potential implications of climate change on the projected distribution of these species in subsequent scenarios and evaluates the possible impacts of these changes on the trajectory of future research in medicinal plants.
The distribution and life cycles of all vegetation, including medicinal plants, are significantly impacted by climate change. Additionally, future climate scenarios have been shown to affect the physiological performance of all vegetation worldwide. Various aspects related to climate change and its repercussions on medicinal plants are explored including the impact of increased carbon dioxide (CO2) and ozone (O3) levels, the effect of low temperature (Cold), climate warming, drought on the production of secondary metabolites, impact of threats on medicinal plants, and phenological changes. Each of these environmental factors influences the productivity and quality of different products and components of medicinal plants, either positively or negatively. Consequently, there is excellent complexity surrounding how climate change affects medicinal plants. Thus, for human survival on Earth, future researchers should carefully examine the interactions of various direct and indirect causes and their corresponding effects.
Keywords: Secondary metabolites, Climate change, medicinal plants, Phenology.
Multi-Strategy Constant False Alarm Rate Detector in Complex Backgrounds
Authors: Liu Cong , Li Pengfei , Liu Lu , Li Qi , Liu Yunqing
Published: March 2024

A multi-strategy switching variability index CFAR (MSVI-CFAR) detector is proposed to further the capability of radar target constant false alarm detection in complex backgrounds. The detector can estimate the clutter background in the reference window. It adaptively selects the optimal detection strategy from the cell-averaging CFAR (CA-CFAR), greatest-of CFAR (GO-CFAR), switching CFAR (S-CFAR), and ordered statistic with cell averaging CFAR (OSCA-CFAR). The results indicate that MSVI-CFAR is beneficial to the detection of SVI-CFAR in the background of uniform background, clutter edge, and multi-target interference and has less CFAR loss and more robust anti-multi-target interference performance.
Double-Coding Skin Disease Segmentation Based on Attention Mechanism
Authors: Yang Guoliang , Nie Ziling , Wang Jixiang , Yang Hao , Yu Shuaiying
Published: March 2024

Aiming at the problems of complex structure and lack of feature information of skin lesions, an image segmentation method based on attention mechanism and double coding network is proposed. Firstly, the dual-coded branch network is used to extract image feature information to improve the ability of network information capture. Secondly, the dual attention module is used to encode the global context information, which suppresses irrelevant features and highlights relevant features. Finally, in the coding part, depth separable convolution and cooperative attention are used to reconstruct the image. Experimental results show that on ISIC2018 data set, the accuracy, Dice similarity coefficient and Jaccard index of this method reach 96.59%, 92.98% and 82.65%, respectively. Compared with other networks, the accuracy and boundary segmentation effect are obviously improved.
A Ka-Band Phased Array RF Front-End Module Based on 3D Heterogeneous Integration
Authors: Cui Jingyu , Zhang Tingting , Qi Xiaolin , Hong Li , Yang Ning
Published: March 2024

In response to the demand for low-cost 3D heterogeneous integrated RF front-end and phase-controlled arrays, an integration Ka-band phased array RF front-end module based on 3D-integrated packaging is proposed in this paper. It can realize the miniaturization of the RF front-end system, greatly reduce the volume and weight of the radar system, and effectively control the total cost. The proposed module consists of final power amplification, drive amplification, low noise reception, phase shift, and attenuation control. The electronic scan range of this module is greater than 15° within the 32-38 GHz frequency passband.
Transformer-Based Semantic Entity Recognition for Chinese Medical Inspection Reports
Authors: Wan Honglin , Sheng Hao , Kong Xiangzhi , Li Qiuyue , Zhang Tong
Published: March 2024

With the rapid development of the Internet, the application of artificial intelligence in the medical field has become a focus of attention. At present, understanding the Chinses medical inspection report (CMIR) is of great significance for clinical diagnosis, and the results of the inspection items can be used to judge the condition more intuitively. However, the existing datasets of Chinese medical inspection report is small, and their image features are complex and have more entity types, which makes Semantic entity recognition (SER) for Natural language processing (NLP) difficult. To address the lack of attention coverage for complex medical entities, this paper fine-tunes a multimodal pre-training model for multilingual visually-rich document understanding (VI-LayoutXLM), and improves the recognition of complex medical entities by the VI-LayoutXLM model through novel entity labelling in the multimodal pre-training phase. Specifically, key-value pairs are manually labelled for medical entities in the form of medical inspection report to refine the attention to complex medical entities in the Transformer. In order to verify the recognition performance of the model, this paper constructs a sample set of medical inspection report datasets (CMIRD) collected from real scenarios, which includes medical inspection report from hospitals all over China. The experimental results show that the recognition performance of the VI-LayoutXLM model outperforms multiple models on this dataset, with an F1-score up to 97.18%.
Visual Quantitative Evaluation of Berg Balance Scale for Stroke Patients
Authors: Wang Zhihao , Gu Anming , Lu Xiaofeng
Published: March 2024

Stroke patients with hemiplegia are often accompanied by balance disability, which has a serious impact on their life, work and rehabilitation treatment. In order to estimate their recovery and formulate a rehabilitation plan, the Berg Balance Scale (BBS) is usually used to evaluate their balance disability. At present, BBS is often evaluated manually. But the human resources are tight in the hospital, and it is difficult for patients to participate regularly. In order to reduce the burden of both doctors and patients, this paper uses artificial intelligence algorithm to automatically score the test process of Berg Balance Scale. Firstly, the method uses HRNet (High-Resolution net) algorithm to obtain the 2D human bone information of patients in the video sequence. Then, MHFormer (Multi-Hypothesis transformer) network was used to predict the 3D bone information of patients. Finally, based on the features of human joint points, human motion recognition and quantitative scoring were carried out. The experimental results showed that the same effect could be achieved by using intelligent algorithm to score Berg scale.
A High-Precision Time Delay Estimation Method Based on Sequence Reconstruction
Authors: Huang Di , Zhu Xian , Zhu Jieqi , Su Peilin
Published: March 2024

Aiming at the problem of high-precision time delay estimation under the condition of limited memory, this paper uses the cross power spectrum of the received signal to reconstruct two time-varying sequences related to the array signal and a time invariant constant sequence independent of time. Through multiple FFT and IFFT combination operations, as well as point multiplication, reconstruction and replacement of the sequence, high-precision and high-gain fast time delay calculation is realized, which are UUV, potential target The large acoustic array of unmanned platforms such as buoys and manned platforms provides technical support for high-precision time delay estimation, azimuth estimation or passive positioning.
Crude Oil Prediction Based on Multi-Factor LSTM-Transformer Algorithm
Authors: Hao Xinlei
Published: March 2024

The precise prediction of global oil prices holds immense importance in maintaining economic stability and mitigating risks. This paper proposes a novel machine learning-based time series forecasting method using the combination of Long Short-Term Memory (LSTM) and Transformer algorithms. To address the low dimensionality of predictors for the Transformer and preserve the chronological order of data, LSTM networks with a configured time step are employed for transformation. For illustration and verification purposes, a multi-factor LSTM-Transformer model is used to predict the crude oil spot price (return) of West Texas Intermediate (WTI). The empirical results validate the efficacy and superiority of this approach over single-factor and linear models in forecasting oil prices, making it a promising method for time series forecasting.
Major Depression Disorder Analysis and Detection Based on EEG Functional Connectivity and TD-2DPCA
Authors: Chen Wan , Cai Yanping , Li Aihua , Jiang Ke , Su Yanzhao
Published: March 2024

Brain network is often used to diagnose major depression disorder (MDD). However, existing methods require the artificial design of EEG features, which affects the recognition accuracy. This paper proposed a novel framework for MDD detection based on EEG functional connectivity and two-directional two-dimensional principal component analysis (TD-2DPCA). First, PLI was used to construct the functional connectivity matrix, which was then converted into a binary matrix and brain topology graph. On this basis, TD-2DPCA was used to extract features from the binary matrix, and the EEG features were input into different classifiers for MDD classification. Finally, experimental verification was carried out. The MDD detection accuracy of the proposed method was 96.55%, higher than that of graph theory, which verified the superiority of the proposed method.
Spatiotemporal Features Recognition and Prediction of Urban Hot Spots Based on Trajectory Data
Authors: Cao Yu , Sun Kai
Published: March 2024

With the continuous progress of urbanization, the construction of cities is gradually accelerated, and the urban population density is constantly increasing. Hot spots represent regions with more trips, greater population flow and higher travel demand. With the increasing complexity of traffic data, traditional methods for predicting hot spots can no longer meet the current situation. This also provides opportunities for the development of deep learning techniques. Given the continuous expansion in scale and intricacy of trajectory data, its relevance has become increasingly significant in domains such as urban planning, traffic management, and business decision-making. Aiming at the hot spot identification problem of trajectory data, this paper, inspired by the traffic prediction model, applied the STGCN model to the urban hot spot prediction problem and improved it. The model consists of four parts: cluster processing, spatial feature extraction, time feature extraction and hot spot region prediction. The experimental outcomes demonstrate that the model exhibits superior predictive performance across diverse datasets compared to conventional methods, showcasing robust generalization capabilities and practical applicability.
Vehicle Driving Behavior Prediction Under Different Weather Conditions Based on the Adaptive Network
Authors: Qian Cong , Gu Xiang , Cheng Dengyang , Du Chaonan , Zhang Yidi
Published: March 2024

Driving behavior is typically influenced to some extent by weather conditions, which is one of the important factors for the identification of driving behavior of adjacent vehicles by drivers during road travel. In this study, LightGBM and NN were employed as ensemble feature selection methods to consider the attributes with the highest information content in the driving behavior dataset. A stacked ensemble design of machine learning models was proposed under the framework of adaptive networks. The framework of the proposed model in this study consists of two layers, including the adaptive layer and the stacked layer. The performance of the model was evaluated based on classification metrics and compared with the most popular predictive models. The experimental results show that the prediction of the ensemble learning model under the adaptive framework is more stable and shows better comprehensive performance. It can achieve high accuracy and reliability in identifying driver’s driving behavior.
Vehicle Detection Based on Improved YOLOv5
Authors: Guo Hao
Published: March 2024

Vehicle detection is an important research direction in the field of computer vision. Traditional methods based on feature extraction and classifiers can be influenced by factors such as complex backgrounds, occlusions, and scale variations, leading to a decrease in detection performance in vehicle detection. The processing speed of high-resolution images and video data is relatively slow, limiting real-time or efficient vehicle detection applications. To improve the current situation of vehicle detection from surveillance perspectives, this paper presents an superior approach for vehicle detection built on the YOLOv5 model. The approach involves utilizing the lightweight MobileNetV3 network model, incorporating attention mechanisms, and redesigning activation functions to reduce model parameters and enhance inference speed while maintaining detection accuracy. The EIoU loss is employed to optimize the loss function, thereby enhancing the precision of bounding box localization. The experimental results demonstrate that the improved network achieves an increase in inference speed, validating the feasibility of the proposed approach.
Eco-Centric Generative Design Workflow: Extending Sustainability in Architecture
Authors: Zang Zhiqi , Ding Wenhong
Published: March 2024

The advancement of technology will bring about industry transformation, and in the context of the widespread application of digital design, the introduction of artificial intelligence (AI) into architectural design is an inevitable necessity. This article explores the advantages and necessity of applying generative design technology to the entire process of sustainable architectural design. It introduces how generative design and AI techniques are being used throughout the design workflow, from generative model training, alternative design proposal production, design optimization, to visualization export. Conclusively, the introduction of generative design not only enhances design efficiency but also significantly improves the ecological attributes of architectural design, offering a fresh perspective for the sustainable development of the architecture field.
Research on the Improvement of Industrial Design Innovation by Digital Development
Authors: Yang Yalin , Shen Hongcai , Cao Chunxiao , Qiao Hongjuan , Song Xin , Liu Jia
Published: March 2024

In this paper, we investigate whether digital development improves industrial design innovation using Chinese province-level data. We use the design patent as a proxy for industrial design innovation and adopt a panel regression model to examine whether provinces with higher digital development have relatively more design patents. Our regression results show that there is a significantly positive relationship between the digital development level and industrial design innovation. Our results also show that this positive association is more pronounced in provinces with more economic vitality, and in the provinces with better digital infrastructure and digital application, digital talents can play a more important role in improving industrial design innovation. Our findings suggest that more policies and measures should be adopted to encourage digital development and application to improve design innovation in the industrial sector.
The Influence of Technology on Modern Interior Design
Authors: Zhao Yingna , Zhou Yixin , Yuan Yurou
Published: March 2024

Through the application of digital technology in the field of modern interior design space, the development of science and technology has changed the concept of interior design. The expression of intelligent design methods has penetrated into modern interior design. In this study, specific experiences from the National University BIM Design Competition will be used to analyze the use and impact of digital technology, specifically in interior design.
Intelligent Interaction Design of Environments for Early Symptoms of Alzheimer’s Disease – A Case Study of Home Environments
Authors: Zhang Xuesong , Cao Xianghui
Published: March 2024

Early symptoms in Alzheimer’s disease (AD) patients are often subtle, and diagnosis typically occurs in the middle to late stages. Currently, there is a lack of effective targeted therapeutic drugs and treatments to halt the disease’s progression, emphasizing the importance of early detection and intervention over treatment. This paper employs Ambient Intelligence (AMI) to monitor patients’ daily behaviors and identify early symptoms in the home environment. This is achieved through the integration of intelligent sensors, interaction design, and artificial intelligence algorithms, leading to the formulation of personalized solutions based on patients’ behaviors. Furthermore, the paper outlines the future research direction for AD, suggesting the incorporation of VR devices to allow users to experience the behaviors, emotions, and feelings of early-stage patients through visual and auditory immersion. This approach aims to provide a deeper understanding and foster empathy among non-patient individuals.
An Inclusive Study of Postpartum Emotional Guidance Mobile Application Based on IPA Analysis Method
Authors: Wu Yinghan , Peng Lu
Published: March 2024

Postpartum mental health is a common concern in modern society, but many women struggle to access adequate support. This study aims to propose an inclusive design framework for a mobile application for postpartum emotional support. The user’s needs and expectations were extracted from the app reviews using the Non-negative Matrix Factorization (NMF, Non-negative Matrix Factorization) technique, which is widely used in the field of data mining and pattern recognition, and were combined with a tool for evaluating and optimizing the characteristics of a product or service: the Importance-Performance Analysis (IPA, Importance-Performance Analysis) model to explore the association between perceptions and expectations of postpartum women. As a result of the analysis, six key quality elements were identified and four areas of design and development were suggested. The core innovation of this study is the introduction of an IPA analysis method based on the NMF algorithm, which enhances the design and development of the application to ensure that a wider range of user needs are met. This not only facilitates the inclusive design of mobile applications, but also enhances the decision-making ability of new mothers in online mental health services.
Based on the Carbon Emission Model Study Generated by the Application of Art Paper in Design
Authors: Huang Qiushi , Peng Lu
Published: March 2024

With the increasing prominence of global environmental problems, low carbon emissions have become one of the focuses of social attention. As a widely used material, the carbon emissions in the production and use of art paper cannot be ignored on the environmental impact. This paper aims to explore a comprehensive model study of carbon emissions from production to design of art paper. The study adopts the Life Cycle Assessment (LCA) method to systematically evaluate the carbon emission energy that may be generated from paper production to subsequent design through data analysis of different art papers. Exploring multiple aspects, including the selection of materials and printing processes, the use of renewable energy, transportation conservation, and waste management, ultimately establishing a comprehensive assessment model for carbon emissions. It aims to provide practical and feasible solutions for sustainable development in design paper, providing a comprehensive framework for environmentally friendly paper for designers, while providing new ideas for environmental protection and sustainability.
Design Iteration Study of Sleep Monitoring and Analysis Early Warming Mobile App Based on AHP-Entropy Weight Method
Authors: Yang Wanyi , Cao Xianghui
Published: March 2024

In recent years, with social progress, faster pace of life, and increased urban life pressure, sleep issues faced by people of all ages have increasingly attracted widespread attention. With the improvement of people’s awareness of healthy sleep, numerous sleep monitoring and analysis alert apps have emerged on the market. This article proposes a method based on the Analytic Hierarchy Process and the Entropy Weighting Method to explore the iterative design requirements of sleep monitoring and analysis alert apps and construct an evaluation system that includes multiple criteria and elements. By analyzing the dominant weights of various factors in app design through AHP, conducting questionnaire surveys on user groups, analyzing and integrating collected data, calculating the objective weights of factors through the Entropy Weighting Method, and comparing the subjective and objective weights of user requirements using line charts, the results are visualized. Finally, the key requirements and optimization design points of the app are analyzed and determined. This study provides guidance and reference for the iterative design and improvement of sleep monitoring and analysis alert apps.
Effects of Auditory Integration Training Combined with Music Therapy on Children with Autism Spectrum Disorder
Authors: Liu Zhenyu , Wang Qiurui , He Caihong , Yao Cheng , Ying Fangtian
Published: March 2024

Objective: This study explored the effects of Auditory Integration Training combined with Music Therapy on Autistic Children. Methods: Eighty Autistic Children who received treatment at a Rehabilitation Center for Children with Autism in Guangzhou from January to June 2023 were selected as participants. They were randomly allocated to an Experimental or a Control group, giving 40 in each condition. The Control group received Auditory Integration Training, while the Experimental group received Auditory Integration Training combined with Music Therapy. Sociability, Language, Behavior, and Neuron Development of the two groups of children were compared before and six months after treatment. Results: By comparing the Sociability, Language, Behavior, and Neuron Development scores of two groups of children before and after six months of treatment, the combination of these two treatments has positively impacted the rehabilitation of children with autism. Conclusion: The combination of Auditory Integration Training and Music Therapy has shown promising results in its application for Children with Autism Spectrum Disorder (ASD).
Research on the Design of Children’s Medical and Health Products Based on PPCT Model
Authors: Cao Xiaoqin , Dong Aoyue , Xing Huiqiang
Published: March 2024

Explore the possibility of redesigning children’s medical and health products in response to children’s problems during medical treatment. Guided by the “process, individual, environment, and time” in the PPCT model, explore new ideas and methods for children’s medical and health products, establish a design framework model for children’s medical and health products, determine design strategies and scheme evaluation systems, to improve the children’s medical treatment process, create a humane and warm children’s medical and health product design, and better alleviate health problems and inconveniences in children’s medical treatment, Improving the comfort and fun of children’s medical environment confirms that the design of children’s medical and health products based on PPCT theory is practical and feasible.