bluuebunny/crossref_metadata_2025 huggingface dataset:
An investigation of the significance of the association of each attribute of ancient glass products based on cardinal distribution
Authors: Lin Haotian , You Kewei , Lin Jianze , Zhao Ling
Published: April 2023

The Silk Road was a key channel for trade and cultural exchange between China and the West in ancient times, and one of the gems of the early exchange was glass products. The composition and properties of glass from the East and the West often differ greatly because of the different production processes, but the problem of glass identification has been an ancient challenge. For the analysis of the composition and origin of ancient glass products, this paper is a mathematical approach to model design, avoiding the duplication of labor into this area. This paper uses chi-square test and correspondence analysis to first determine which factors are significantly correlated with glass products, and then further determine the correlation with the factors. The use of box-line plots allows for a very visual analysis of the statistical patterns of the presence or absence of chemical composition content on the surface of artifact samples. For predicting the chemical composition content before weathering, the approximate chemical composition content was first estimated based on the average rate of change of each chemical composition before and after weathering, and then a multiple linear regression model was used to correct for the chemical composition content. It was finally concluded that the weathering of glass surface was significantly correlated with glass type, and high potassium glass was not easily differentiated, while lead-barium glass was easily weathered; the silica content changed most significantly before and after weathering of high potassium glass, with an average change rate of 25.98%, and the silica and lead oxide content changed most significantly before and after weathering of lead-barium glass, with average change rates of 29.75% and 23.77%, respectively.
Application of Nanomedicine in Diagnostic Technology
Authors: Xie Xinyu
Published: April 2023

In both diagnoses and treatments of diseases, nanomaterials play a critical role. They can be used to detect and target specific cells and proteins in the body, and to deliver drugs and other therapeutic agents directly to these cells and proteins. Nanomaterials can also be used to create new diagnostic tools, such as sensors that can detect the presence of disease-causing agents in the body, and to develop new and more effective treatments for diseases. Nanomaterials have a number of advantages over traditional disease diagnostic methods. They are more sensitive, more specific, and more accurate. Nanomaterials can also be used to detect a wider range of diseases and conditions. Nanomaterials also have the potential to be used in drug delivery. Finally, nanomaterials are less expensive and easier to use than traditional methods. Nanomaterials have made some progress in medical diagnosis, especially in regard to the prevention and treatment of cancer. By using nanomaterials, doctors can detect cancer earlier and more accurately than ever before. Nanomaterials can also help doctors treat cancer more effectively, by killing the cancer cells and preventing them from spreading. In this paper, the characteristics of nanomaterials, the role of nanomaterials in the preparation of biosensors and nanoprobes, and some common nanoimaging techniques are reviewed.
Recent Progress of Nanomaterials in Implants
Authors: Ding Zihan
Published: April 2023

With the continuous development of nanotechnology and the increasing emphasis on physical fitness, the age of onset of bone diseases is becoming younger and younger. Bone tissue engineering and artificial joint replacement surgery, with the application of bio-materials as implants, are considered as promising approaches to treat bone diseases. Among various bio-materials, Implants made of nanomaterials with appropriate biocompatibility and biomechanical properties can be used clinically to address some of the problems associated with bone disease. This paper reviews the use of nanoceramic and polymeric nanomaterials in implants, the use of some nanomaterials in bionic joint fluids for antibacterial lubrication of implants in the human body. Besides, the potential for nanomaterials in implants to cause some damage or injury to the respiratory system and other body tissues, and the prospects for the use of nanomaterials in implants in the future are also introduced. The aim is to raise awareness of the use of nanomaterials in implants and the importance of biocompatibility, biomechanical properties and antithrombotic properties for future implant applications.
Analysis on the Comparative Neurotoxicity of Parathion and Chlorpyrifos from the Animal Model
Authors: Yin Yue , Zhang Yuhong
Published: April 2023

Recently there are many different types of the researches on organophosphates. The results on neurotoxicity can make people find out the treatments on organophosphate-poisoning. The parathion and chlorpyrifos are two typical types of organophates to be examples of the researches. The aim of researches is to find out the neurotoxicity of organophosphates to the mammalian animals. In vitro model, the aggregating cell culture of fetal rat telencephalon, has been used to investigate the different factors of neurotoxicity. The results show that the inhibition of parathion to acetylcholinesterase (AChE) is more effective than the chlorpyrifos. It shows that 2qthe in immature culture, the effect of parathion tends to be more effective. The cell culture treated by parathion is more sensitive than the neuro-specific enzyme activities. On the contrast, the chlorpyrifos have week induced reaction and are only effective on the influenced concentration. In general, the immature culture is more sensitive to OPs treatment than the differentiated culture. Moreover, the general cytotoxicity of chlorpyrifos and parathion are both low. The results show that there are many differences between neurotoxicity of parathion and chlorpyrifos. By taking look of the differences, the separative treatment can be found in the future.
PEGylation, the Glorious Past, Present Dilemma and Future
Authors: Lou Chenyang
Published: April 2023

Polyethene glycol (PEG), with first application approved in 1990, is a widely used polymer in the modification of nanometer level drug particles until now due to its outstanding ability to give nanoparticle the “stealth” property in drug delivery in circulation system thus enhancing the half-life. Therefore, this paper aimed to deconstruction the mechanism how PEG works on liposome with a present example by literature review on recent and previously published papers. Except the advantages of PEG in drug delivery, accelerated blood clearance (ABC) phenomenon as a massive problem in PEG application is been discovering by other researchers. This paper collected the relevant papers about the recent discovery on ABC phenomenon about how the immune system is stimulated to produce anti-PEG IgM which causes the rapid clearance of PEGylated nanoparticle in second dosing, and some alternative polymers are selected among the alternatives by the capability to replace PEG and preserving the “stealth” ability. However, the fact is that the alternatives have their disadvantages to some extent cannot perfectly replace PEG without any side effects.
Glass classification and identification based on multiple clustering model
Authors: Ding WenJun , Bao Yichen , Tao Yitong
Published: April 2023

Ancient glass is extremely susceptible to weathering by the influence of the buried environment, resulting in a change in the proportion of glass components. In order to classify different kinds of glass, this paper uses k-means++ clustering method to analyze the classification law, and summarizes the major and minor chemical composition data of the cluster center, so as to establish a glass classification model. In order to identify unknown types of glass, this paper mixes the data of eight groups of unknown types of glass into the known data, outputs the types of eight groups of glass through cluster analysis, calculates the center distance of the lead barium glass group to the subclass of the type in these eight groups, and then divides the subclass, and at the same time divides the subclass of the high potassium glass in the eight groups.
Analysis and Study on Chemical Composition of Ancient Glass Products
Authors: Hou Sen , Wang Hui , Huang Xinyi , Mo Zhongyi , Long Yuling
Published: April 2023

Based on the artificial neural network, K-Means clustering and decision tree algorithm, this paper constructs a variety of models to study the relevant factors of the surface weathering of glass relics and the changes of various chemical components.In this paper, the statistical results are obtained by processing the data with glass type, texture and color respectively, and chi square test is carried out with weathering type respectively. At the same time, a logical regression classification model is established to analyze the relationship. Secondly, the data are divided into four groups based on the glass type and weathering degree, and the statistical rules are obtained by analyzing the average, median, maximum, minimum and change degree of each group of data. Finally, a multi-stage weathering backtracking model is built based on multihead self-attention to predict the chemical composition content of the detection point before weathering. The accuracy of the test is 99%, and the effect is good.
Preface: 8th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation (CDMMS 2023)
Authors: Tate Katherine , Duan Shiqi
Published: April 2023

This proceeding is a collection of invited contributions from the presenters and the participants of the 2023 8th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation (CDMMS 2023), held in Busan, South Korea during January 14-15, 2023. The aim of this conference is to present the latest research and results of scientists related to computer-aided design, advanced manufacturing, modeling and simulation topics. CDMMS 2023 provides opportunities for the different areas delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these scientific fields.

Due to the Covid-19 pandemic, CDMMS 2023 was organized virtually by using a combination of Zoom and WeChat. And we offered the opportunity to all the global researchers to share their view through digital platform without any restrictions. Distinguished researchers from South Korea, China, India and Hong Kong (China) were invited to deliver keynote address regarding the latest research discoveries in their respective areas of expertise. Each presentation made by authors was confined in 20 minutes, following by questions and answers. We hope that all the participants will get large opportunities to widen their knowledge and network.

All accepted papers were subject to peer-review by conference committee and invited reviewers. The papers were selected based on their quality and their relevance to the conference. We would like to thank the reviewers for their valuable time and advice which helped in improving the quality of the papers selected for presentation at the conference and for publication in the proceedings.

Warm regards,

Conference Organizing Chair

Busan, South Korea
Analyzing the limitations of parallelism in hardware and software through threaded programming
Authors: Wang Chenyi
Published: April 2023

Parallel computing is applied across various technology industries for solving complex scientific problems that desire high performance and efficiency while can help utilize the resource to save time, money, and energy. This technique has been developed over decades as the physical limits of chips have been reached. The development of parallel computing is closely bonded with the evolution of hardware and software implementation, and there are many forms of parallelism applied to different systems to improve their performance. This paper focused on threaded programming by applying parallelism to a decision tree program and testing the program performance with variables of thread number and device configuration while aiming to demonstrate the limitation of parallelism from both software and hardware aspects. The experiment's outcome in this paper shows that the overall trend of the performance variation for different devices is similar. Still, an improvement in the performance will be affected by the hardware implementation. In contrast, a device with a better configuration performs better. To summarize this research, parallelism can only be fully utilized when applied to a properly designed program running on a robust machine. Therefore, the innovation of hardware and software is essential to the future development of parallel computing.
Facial Expression Recognition Based on Pruning Optimization Technology
Authors: Jia Chengyu , Li Xinyi , Qian Rui , Sun Huayu
Published: April 2023

Facial expression recognition is based on deep learning, which has become one of the main topics in artificial intelligence. Nevertheless, the complex network structure causes numerous parameter redundancy, which leads to low recognition efficiency. Therefore, researching how to reduce parameter redundancy makes sense. In addition, today's machine expression recognition has some limitations and constraints, while the generalization ability is poor. Aiming at addressing the problems that excessive parameter redundancy brings, for example, low efficiency and massive limitations. This paper will put forward a facial expression recognition technology that is based on pruning optimization to improve existing models. Based on VGGNet, ResNet and SENet, these three convolutional neural networks modify the convolution layer of the network, then add the attention module and pruning optimization. Through face detection, face area feature representation, expression recognition, and other steps. Realize the recognition of multiple facial expressions. The CK+ dataset and JAFFE dataset are independently divided into 4/5 for training and 1/5 for testing. Experimental results show that after inserting CBAM, except ResNet18, the accuracy of the other two networks all improved, SENet18 improved the most significantly. After pruning, the accuracy and speed of VGG16 and ResNet18 improved, but the accuracy of SENet18 decreased. In summary, the optimized model has good applicability and generalization ability.
A Time Series Data Regression Model Based on Multi-kernel KPCA Dimension Reduction and Bagging Algorithms
Authors: Xu Sitian , Xu Wenfeng
Published: April 2023

Regression models for high-dimensional data have always been a hot topic in the field of statistical learning. Considering the case that the predictor variable is a high-frequency time series and the response variable is a continuous scalar, this paper proposes a regression method based on a multi-kernel KPCA Dimension reduction method and the Bagging algorithms. The proposed method adaptively solves the problem of kernel function selection and unsupervised ness in KPCA Dimension reduction by splicing the projection data under various kernel functions and using the Bagging algorithms to mine the relationship between projection data and the response variable. In the real data analysis, this paper selects the multiple regression model, the LASSO regression based on model selection, the multiple regression model based on PCA Dimension reduction and single-kernel KPCA Dimension reduction as comparison methods. The results show that the proposed method has better performance than other comparison methods. Since the basic regressor in the Bagging framework is model-free, some prediction models can be used to improve the prediction accuracy for more complex data situations.
Effect of Heat Transfer Performance and Thermodynamic Analysis of Complex Structured Double-layer Microchannels Heat Sink
Authors: Song Zenan
Published: April 2023

As microelectronics become more and more integrated, in order to solve the increasingly serious microelectronic heat dissipation problem. Design of a complex structure with a double layer channel. The upper layer is a rectangular channel and the lower layer is a complex structure of the design. The DLCF (double layer counter flow) and SLCF (single layer counter flow) are compared numerically. The innovative design suggested in this paper is contrasted with the upper and lower layers, which are both rectangular channels. The simulation is carried out using FLUENT software. Based on previous studies, the concept of enhanced heat transfer coefficient was used to predict the heat transfer efficiency of channels. The friction factor, Reynolds number, as well as the temperature and thermal resistance along the channel are derived. From the results, it is clear that the complex structure of the double-layered channel designed in this paper has a higher heat transfer efficiency. The enhanced heat transfer factor number is higher.
Research on Financing Efficiency of Manufacturing Enterprise Supply Chain——Empirical Analysis Based on the DEA Model
Authors: Yang Ning
Published: April 2023

In recent years, the global economy is sluggish. China's manufacturing technology is restricted by foreign countries, and the advantage of low cost and multi-labor force is gradually disappearing. The overall benefits of the manufacturing industry are not optimistic. Financing, providing basic power for enterprise technological innovation and transformation, is crucial to the manufacturing industry’s future development. In this paper, the data envelopment method (DEA) is used to select 356 enterprises in the manufacturing industry to conduct empirical research on financing efficiency. According to the research results, relevant conclusions are drawn and relevant suggestions are proposed.
Composition Analysis of Glass Artefacts Based on Spearman's Coefficient and Fuzzy Correlation
Authors: Yang Chenglong
Published: April 2023

The identification and analysis of the composition of glass artefacts can support the related fields in exploring the history of glass and its processes, as well as the development and progress of glass composition. This paper identifies and analyses the composition of glass artefacts by collecting relevant data and information on glass artefacts through the Spearman correlation coefficient method and fuzzy correlation. In terms of data pre-processing, data with component ratios that did not add up to between 85% and 105% were removed, and then the degree of weathering on the surface of the glass artefacts was initially determined to be closely related to the glass type by applying a chi-square test, and then the highest correlation between the weathered surface of the glass and the glass type was determined by excluding possible interference caused by ornamentation and colour through partial correlation analysis. Fuzzy correlation analysis was then applied to remove abnormal data and calculate the mean values of each chemical composition for different types of glass at different degrees of weathering to discover statistical patterns. Finally, the mean values calculated by the fuzzy correlation analysis were summed using the difference to obtain the predicted results. Six chemical components were also screened out by the Spearman correlation coefficient method, and then the difference quotients of the same components were calculated by averaging these six components for different types of glass respectively. Finally, it was found that in addition to the three elements of potassium, lead and barium, calcium and strontium also have a greater influence on glass classification. The sample data were then clustered by the hierarchical clustering method based on the correlation coefficient method of calculating distances, and the optimal number of clusters was found by calculating the clustering contour coefficients. Then, the data of the clustered subclasses were analysed and subclasses such as soda-lime glass, sulphide glass and aluminosilicate glass were classified. Finally, the clustering clarity values were defined using the entropy weighting method to measure the clustering results, and the Held mean values at different p-values were adjusted for sensitivity analysis of the clustering clarity values.
Application of VR In Game Design & Filmmaking
Authors: Jeon Seunghyun , Yang Xingyu
Published: April 2023

Virtual reality is a kind of application technology combining computer application, multimedia, information technology and simulation technology, which provides a broad development prospect for advertising, sports and game design. At present, in the United States and Europe and other developed countries and regions have been used in many fields of production, and achieved good economic and social benefits, but the research in this field is not obvious in China. It is very important to explore the technical advantages of virtual reality in game design and improve the overall application level of virtual reality. This paper summarizes and analyses the history and technological development of VR immersive experience, the application of VR in game production, and the application of VR in film production, and critically reviews and understands the application potential of VR technology as an interactive medium.
Research on Optimal Riding Strategy Based on Improved Rider Power Position Analysis Model
Authors: Xiang Longbao , Zhao Jianan
Published: April 2023

How to achieve good results in bicycle road races is a question worth pondering on. we developed a rider power-position analysis model that can be applied to any type of rider to determine the relationship between that rider's position and power on the track. This paper considered extending the model to team time trials. The team maintains a stable pace, maintains different power in different positions, the entire team maintains a distance of 30cm, and the strong and weak are arranged alternately.
PHÁT HUY GIÁ TRỊ DI SẢN VĂN HOÁ CỦA CÁC DÂN TỘC THIỂU SỐ TRONG PHÁT TRIỂN DU LỊCH BỀN VỮNG HIỆN NAY
Authors: Lê Thị Bích Thủy
Published: April 2023

Di sản văn hóa luôn đóng vai trò quan trọng trong lịch sử hình thành, phát triển của mỗi quốc gia, dân tộc, vùng miền và là nguồn tài nguyên quý báu, góp phần làm nên thương hiệu, hình ảnh của mỗi quốc gia, dân tộc. Cộng đồng các dân tộc thiểu số ở Việt Nam có hệ thống di sản văn hoá truyền thống đa dạng với nhiều loại hình sinh hoạt văn hoá dân gian phong phú. Bài viết tập trung làm rõ tiềm năng giá trị di sản văn hoá của các dân tộc thiểu số, mối quan hệ giữa phát triển du lịch và bảo vệ, phát huy các giá trị di sản văn hoá của các dân tộc thiểu số. Từ đó đề xuất những giải pháp bảo tồn, phát huy các giá trị di sản văn hoá của cộng đồng các dân tộc thiểu số gắn với phát triển du lịch bền vững hiện nay.
PHÁT HUY GIÁ TRỊ CỦA LỄ HỘI HOA BAN TRONG PHÁT TRIỂN DU LỊCH Ở TỈNH ĐIỆN BIÊN HIÊN NAY: THỰC TRẠNG VÀ NHỮNG VẤN ĐỀ CẦN THỰC HIỆN
Authors: Lê Thanh Bình , Mùi
Published: April 2023

Để đưa du lịch thành ngành kinh tế mũi nhọn, trong những năm qua tỉnh Điện Biên đã đẩy mạnh phát huy giá trị văn hoá truyền thống của các dân tộc cho phát triển ngành này, trong đó có việc tổ chức lễ hội hoa ban. Kể từ khi được tổ chức (2014) đến nay, lễ hội hoa ban không chỉ có giá trị và ý nghĩa quan trọng trong việc tôn vinh, bảo tồn, phát huy các loại hình văn hóa truyền thống dân tộc mà còn có những đóng góp vào việc thúc đẩy phát triển kinh tế - xã hội của địa phương. Vì vậy, lễ hội hoa ban đã trở thành “thương hiệu” góp phần quảng bá hình ảnh về mảnh đất và con người của Điện Biên nói riêng, vùng Tây Bắc nói chung.
ỨNG DỤNG CÔNG NGHỆ THÔNG TIN VÀO BẢO TỒN VÀ PHÁT HUY CÁC GIÁ TRỊ VĂN HÓA Ở VÙNG ĐỒNG BÀO DÂN TỘC THIỂU SỐ
Authors: Đoàn Thanh Thủy , Linh
Published: April 2023

Trước những cơ hội và thách thức trong phát triển công nghệ thông tin dưới tác động của cuộc Cách mạng công nghiệp lần thứ tư ở Việt Nam hiện nay, Đại hội Đại biểu toàn quốc lần thứ XIII của Đảng đề ra những quan điểm, chủ trương tạo sự phát triển mang tính cách mạng, đột phá của công nghệ thông tin. Để góp phần thực hiện sáng tạo những quan điểm, chủ trương của Đảng, chúng ta cần phát triển công nghệ thông tin và nâng nó lên một tầm cao mới, mang sứ mệnh mới để đáp ứng yêu cầu chuyển đổi số, xây dựng nền kinh tế, xã hội số nhằm thúc đẩy đổi mới sáng tạo, bứt phá tăng trưởng, hướng tới khát vọng đưa Việt Nam trở thành quốc gia hùng cường, thịnh vượng trong bối cảnh hội nhập sâu rộng nền kinh tế thế giới hiện nay.
PHÁT HUY SỨC MẠNH ĐẠI ĐOÀN KẾT TOÀN DÂN Ở TỈNH QUẢNG NGÃI TRONG GIAI ĐOẠN HIỆN NAY
Authors: Đỗ Thị Thùy Trang
Published: April 2023

Quảng Ngãi là một tỉnh nằm ở duyên hải miền Trung, tình hình phát triển kinh tế-xã hội còn nhiều khó khăn. Để thúc đẩy kinh tế-xã hội phát triển, hoàn thành những nhiệm vụ được giao và thực hiện thắng lợi những mục tiêu đã đề ra, Quảng Ngãi đã nỗ lực phát huy sức mạnh đại đoàn kết toàn dân, xem đó vừa là động lực vừa là nguồn lực để phát triển. Phát huy sức mạnh đại đoàn kết toàn dân là nhiệm vụ, là sứ mệnh của toàn Đảng, toàn dân và toàn hệ thống chính trị nhưng đi đầu và giữ vai trò trực tiếp là ngành dân vận, Mặt trận Tổ quốc và các đoàn thể. Do đó, việc đẩy mạnh công tác dân vận và phát huy hiệu quả hoạt động của Mặt trận Tổ quốc, các tổ chức chính trị-xã hội giữ vai trò đặt biệt quan trọng để xây dựng khối đại đoàn kết vững chắc trong bối cảnh hội nhập hiện nay.
CHÍNH SÁCH HÔN NHÂN CỦA ĐẢNG, NHÀ NƯỚC ĐỐI VỚI NGƯỜI DAO ĐỎ Ở TỈNH CAO BẰNG.
Authors: Ngô Thị Phương Thảo
Published: April 2023

Hôn nhân là vấn đề quan trọng, bảo đảm đời sống hạnh phúc của mỗi gia đình và xã hội. Trong suốt quá trình lãnh đạo cách mạng từ khi giành được độc lập (1945) đến nay, Đảng và Nhà nước luôn quan tâm chăm lo lãnh đạo xây dựng cuộc sống ấm no, hạnh phúc cho nhân dân. Cao Bằng là tỉnh miền núi, biên giới, điều kiện kinh tế- xã hội còn có nhiều khó khăn, dân số 95% là người dân tộc thiểu số, việc thực hiện đúng chính sách hôn nhân, gia đình có ý nghĩa hết sức quan trọng. Bài viết tập trung làm rõ quá trình thực hiện chính sách hôn nhân của người Dao Đỏ ở tỉnh Cao Bằng (2000-2020)
MỘT SỐ KẾT QUẢ VÀ KINH NGHIỆM TRONG THỰC HIỆN PHONG TRÀO TOÀN DÂN ĐOÀN KẾT XÂY DỰNG ĐỜI SỐNG VĂN HÓA Ở TỈNH PHÚ THỌ
Authors: Linh
Published: April 2023

Trong những năm qua (2010-2020), phong trào “Toàn dân đoàn kết xây dựng đời sống văn hóa” ở tỉnh Phú Thọ đã có sự phát triển sâu rộng, tác động mạnh mẽ và ảnh hưởng sâu sắc tới mọi mặt đời sống xã hội, góp phần thúc đẩy phát triển kinh tế, xóa đói giảm nghèo, đảm bảo trật tự, an ninh chính trị, trật tự, an toàn xã hội. Phong trào cũng đã thể hiện được sức mạnh khối đại đoàn kết toàn dân, tạo ra một khí thế thi đua sôi nổi, sâu rộng gắn liền với lợi ích thiết thực của nhân dân, của xã hội, thúc đẩy mọi tầng lớp nhân dân tích cực hưởng ứng và tham gia tích cực nhiệt tình, tự giác, góp phần vào sự phát triển kinh tế, văn hóa, xã hội của tỉnh.
Additions to the flora of Chamba district from Sechu Tuan Nalla Wildlife Sanctuary, Himachal Pradesh (India)
Authors: Kumar Puneet , Deroliya Purushottam , Singh Harminder , Singh Sushil
Published: April 2023

This paper deals with 56 species of spermatophytes as additions to the flora of Chamba district in Himachal Pradesh, India. Updated nomenclature and a brief description have been provided for each species. The specimens are housed in the herbarium of Botanical Survey of India (BSD), Northern Regional Centre, Dehradun.
CONTRIBUIÇÕES DAS FUNDAÇÕES DE APOIO NA GESTÃO ADMINISTRATIVA E FINANCEIRA DE PROJETOS: RELATO DA EXPERIÊNCIA DO CENTRO DE EDUCAÇÃO A DISTÂNCIA DA UNIVERSIDADE DE BRASILIA
Authors: De Lira Luiz Alberto Rocha , Lira Louise Lorena Lopes , Batista Patricia Teixeira
Published: April 2023

Este artigo é um relato da atuação da Fundação de Empreendimentos Científicos e Tecnológicos (Finatec) na gestão financeira de projetos de educação a distância, junto ao Centro de Educação a Distância (CEAD) da Universidade de Brasília (UnB). Foram levantadas as principais atribuições da Finatec com base na análise da documentação disponibilizada pela Unb e na experiência dos autores. No relato, é apresentada algumas bases legais e teóricas do tema fundação de apoio, que se incorporam ao referencial prático do relato, que tem como sujeito de análise o Projeto “Cursos de licenciatura e especialização na modalidade à distância (UAB) ”.
AVALIAÇÃO DA ALFAFETOPROTEÍNA NO DIAGNÓSTICO E PROGNÓSTICO DE CARCINOMA HEPATOCELULAR
Authors: Magalhães Cristiane Rocha , Da Silva Marcela Dutra , Guimarães Elaine da Costa , Da Silva Danielle Dias Correia , Pimenta Luana Sena , Da Cruz Adriana Fernandes , Pinheiro Evely Socorro Campos , Corrêa Jacqueline Braz La Rubia
Published: April 2023

O carcinoma hepatocelular (CHC) é a principal causa de morte em pacientes portadores de cirrose hepática. A Alfafetoproteína (AFP) é um marcador tumoral utilizado há muito tempo no rastreamento do CHC. Objetivos: Avaliar a contribuição do uso da AFP no diagnóstico e no prognóstico de pacientes portadores de CHC. Métodos: Entre janeiro/2011 e março/2015, foram atendidos 271 pacientes com diagnóstico de CHC. Os níveis de AFP foram categorizados para melhor análise e associações através do teste ϰ2. A sobrevida global foi avaliada através do teste de Kaplan Meyer. Resultados: A idade média foi 62 anos, com predomínio do sexo masculino, com hepatite B e C. A média da AFP foi diminuindo nos primeiros 6 meses de tratamento, caindo de 2.004,27 aos 3 meses para 1.297,15 aos 6 meses. A sobrevida global foi de 38 meses para níveis de AFP ≤ 20ng/ml, 27 para os entre 21-399ng/ml e 15 meses para os ≥ 400 ng/ml. Conclusões: A elevação deste marcador mostrou-se associada a características tumorais que evidenciam uma doença já avançada.
Analisis dan Evaluasi Desain Web Profil Sekolah dengan Pendekatan Nielsen Usability Model
Authors: Munir Sirojul , Nugroho Mochamad Wisnu
Published: April 2023

SMK Harapan Bangsa adalah sekolah menengah kejuruan swasta yang saat ini telah menggunakan teknologi informasi berupa website sekolah yang digunakan untuk menunjang kegiatan aktifitas belajar mengajar. Terdapat permasalahan pada website sekolah yaitu belum optimalnya dalam hal akses tingkat kemudahan oleh siswa. Penelitian ini akan melakukan desain ulang website sekolah dengan menerapkan konsep material design dan pendekatan aspek Usability Nielsen’s Model, yaitu website memiliki kemudahan akses dari aspek learnability, efficiency, memorability, errors dan satisfaction. Hasil akhir dari desain ulang website sekolah SMK Harapan Bangsa menggunakan skala likert 5, didapat nilai rata-rata usability adalah 4.03 yang berarti tampilan website telah baik menerapkan lima kategori usability Nielsen Model.
Penerapan Algoritma Multiclass Ensemble Support Vector Machine dengan Fungsi Kernel untuk Klasifikasi Human Activity
Authors: Aziz Firman , Usman Syahrul , Jeffry Jeffry , Asrhi Nur Ayu , Armansyah M Rezky
Published: April 2023

Human Activity Recognition adalah teknologi yang memperkenalkan gerakan tubuh manusia menggunakan accelerometer, giroskop, global positioning system, dan kamera. Awal munculnya metode support vector machine digunakan untuk mengklasifikasi 2 kelas, sehingga diperlukan pengembangan untuk mengatasi permasalahan multikelas dan banyaknya dataset yang berskala besar mengakibatkan kinerja menjadi tidak optimal. Tujuan kertas ini adalah menerapkan metode ensemble Support Vector Machine dalam mengklasifikasikan gerakan berjalan, berlari, dan naik tangga berdasarkan sensor accelerometer dan gyroscope pada smartphone. Serta melihat kinerja metode ensemble Support Vector Machine ketika menggunakan kernel linear dan RBF. Hasil akurasi Support Vector Machine kernel linear sebesar 79.66% dan mengalami peningkatan sebesar 88.01% setelah menggunakan ensemble. Sedangkan akurasi untuk Support Vector Machine kernel RBF sebesar 79.51 dan mengalami peningkatan sebesar 88.04% setelah menggunakan ensemble.
Rancang Bangun Antarmuka berbasis Website Design Method (WDM) untuk Toko Baju Online
Authors: Zakia Rahmatul , Nabarian Tifanny , Amalia Betty
Published: April 2023

Di Indonesia pertumbuhan e-commerce sangat cepat, setiap tahunnya mengalami pengingkatan yang cukup signifikan. Terjadinya peningkatan transaksi berbasis digital (e-commerce) dapat membantu meningkatkan suatu penjualan usaha. Usaha yang saat ini banyak dijalankan khusunya di kalangan anak-anak muda yaitu usaha thrifting (barang bekas). Toko thrift Pandeglang yang didirikan pada April 2021 ini merupakan toko yang menjual pakaian bekas baik import maupun non-import. Penjualan toko thrift Pandeglang saat ini melalui offline dan online. Permasalahan yang dihadapi oleh Toko Thrift Pandeglang adalah tidak adanya sistem informasi yang sesuai dengan toko thrift Pandeglang yang setiap harinya mengalami peningkatan dalam proses penjualan. Oleh karena itu, toko thrift Pandeglang membutuhkan sistem informasi yang dapat membantu dalam mempromosikan produk dan mengelola proses transaksi. Antarmuka website Toko Thrift Pandeglang dirancang berdasarkan kebutuhan pengguna dengan mengadaptasi pendekatan WSDM (Website Design Method). Prototype yang telah dirancang selanjutnya diuji dengan menggunakan usability testing yaitu system usability scale (SUS). Hasil pengujian menyatakan bahwa prototype website Toko Thrift Pandeglang telah memenuhi kebutuhan pengguna. Selain itu, hasil evaluasi menyatakan prototype website Toko Thrift Pandeglang memiliki usability yang sangat baik dengan skor system usability scale sebesar 91.01.
Penerapan Algoritma K-Means untuk Clustering Data Jumlah Penduduk Miskin Berdasarkan Kota/Kabupaten di Jawabarat menggunakan Rapidminer
Authors: Novitasari Nova , Nuris Nisa Dienwati , Herdiana Ruli
Published: April 2023

Kemiskinan saat ini menjadi satu-satunya masalah yang dihadapi setiap daerah. Seperti yang terjadi di Kota/Kabupaten Jawa Barat yang masih terlihat. Kemiskinan sendiri merupakan suatu kondisi dimana standar hidupnya seseorang benar-benar kurang mampu dalam memenuhi kebutuhan pokok hidupnya. Menurut informasi yang diperoleh website open data jabar, terdapat 513 data di Kota/Kabupaten Jawa Barat pada tahun 2002 s/d 2020, jumlah penduduk miskin di banyak Kota/Kabupaten di Jawa Barat semakin meningkat. Dengan demikian, metode yang digunakan dalam penelitian ini untuk melakukan pengelompokan data menggunakan metode K-Means Clustering yang akan diimplementasikan pada Rapidminer. Dikarenakan Algoritma K-Means merupakan Algoritma yang efektif untuk menganalisis data dalam jumlah besar. Jadi, bisa dilihat dari data yang akan dihasilkan ada beberapa variabel yang dibutuhkan, seperti kode Provinsi, nama Provinsi, kode Kota/Kabupaten, nama Kota/Kabupaten, jumlah penduduk miskin, satuan, dan tahun. Dari variabel data tersebut akan lebih mudah untuk menjalankannya. Sehingga penelitian ini akan menghasilkan beberapa cluster, yaitu hasil yang didapat oleh peneliti adalah cluster 4 karena cluster ini adalah hasil yang diambil dari nilai DBI yang terkecil dan terbaik dari beberapa cluster yang peneliti uji coba. Dari hasil cluster itulah akan terlihat data jumlah penduduk miskin berdasarkan kota/kabupaten yang memiliki tingkat kemiskinannya meningkat atau menurun dalam periode setiap tahunnya.
Prediksi Penjualan Handphone di Toko X menggunakan Algoritma Regresi Linear
Authors: Aqsho Ramadhan Yubi , Faqih Ahmad , Dwilestari Gifthera
Published: April 2023

Pada saat ini handphone atau smartphone menjadi kebutuhan pokok dalam kehidupan. Perangkat ini telah merubah cara berkomunikasi, mengakses informasi, dan hiburan, handphone telah membuat hidup kita lebih mudah dan nyaman. Toko X menjual handphone dari berbagai macam merk. Tujuan dari penelitian ini adalah untuk memprediksi penjualan handphone pada 3 bulan berikutnya pada data penjualan handphone merk X. Regresi linear digunakan sebagai metode prediksi dengan jumlah handphone yang terjual sebagai variabel Y dan periode penjualan handphone sebagai variabel X. RMSE (Root Mean Squared Error) dan Relative Error digunakan untuk mengevaluasi hasil prediksi. Hasil prediksi kategori Entry pada bulan pertama terjual 84 unit, pada bulan kedua 86 unit dan bulan ketiga 88 unit dan kategori Mid pada bulan pertama terjual  unit 28, pada bulan kedua 29 unit dan bulan ketiga 30 unit.  Hasil evaluasi nilai RMSE pada kategori Entry 10.36, sedangkan nilai Relative Error kategori Entry 19.11% dan Nilai RMSE kategori Mid 7.50, sedangkan Nilai Relative Error kategori Mid 32.97%. Prediksi penjualan handphone menggunakan metode regresi linear ini dapat dikatakan tergolong dalam kategori cukup atau bisa digunakan.
Prediction of chicken meatball quality through NIR spectroscopy and multivariate analysis
Authors: Hashem MA , Morshed MM , Khan M , Rahman MM , Noman MA Al , Mustari A , Goswami PK
Published: April 2023

Near Infrared (NIR) Spectroscopy leads a great opportunity to replace the expensive and time-consuming chemical conventional analysis for determination of the quality of meat products. This study was conducted aiming to evaluate the feasibility of NIRS and to establish a rapid assessment method to easily predict the quality of chicken meatball. Samples of meatball (n=123) were collected from Golden Harvest Company of Bangladesh. After collecting sample, spectra were obtained prior to analysis and a total of 369 NIRs were collected and stored in computer by DLP NIR scan Nano Software. To generate reference data 123 meatball samples were analyzed for proximate components, instrumental color CIE L*, a*, b*, and pH of meatball. After that a partial least square regression model for calibration and cross validation were developed for data analysis using The Unscrambler X software. Accuracies of the calibration models were evaluated using the root mean square error of calibration (RMSEC), root mean square error of cross-validation (RMSECV), coefficient of calibration (R²C) and coefficient of cross validation (R2 CV). Calibration equations were developed from reference data using partial least squares regressions. The standard deviation is 2.41, 0.14, 2.1, 0.41, 1.31, 0.31, 1.26, 0.38, and 0.38 for L*, a*, b*, pH, DM, moisture, CP, EE and ash respectively which indicates that all values are adequate for analytical purposes. Predictive ability of the models was assessed by coefficient of determination of cross-validation (R2 CV) and root mean square error of cross-validation. Predictions were good (R2 CV=0.84) for lightness (L*), (R2 CV=0.72) for redness (a*), (R2 CV=0.77) for yellowness (b*), (R2 CV=0.78) for pH, (R2 CV=0.73) for CP, (R2 CV=0.83) for EE (R2 CV=0.72) for moisture, (R2 CV=0.72) for DM and (R2 CV=0.74) for ash. From the results, it can be concluded that NIRS can be used for the rapid assessment of physico-chemical traits of chicken meatball.
VIRTUAL SKETCH ON AIR
Authors:   1,2,3,4Veltech Hightech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, India, R Saranya , V Ajit Reddy , Pydi Tarun Sai , K GokulaKrishna
Published: April 2023

It is been simply difficult to train students on an online platform and make the lesson thrilling during the COVID-19 pandemic. As a end result, there was a need for a dust free study room for kids. the usage of Media Pipe and OpenCV, this project provides a unique paint application that identifies hand moves and tracks hand joints. Keywords: Media Pipe, OpenCV, Canvas
Education using instagram on knowledge, attitudes and eating habits as prevention of anemia in adolescent girls in Makassa
Authors:   Department of Nutrition, Faculty of Public Health, Hasanuddin University, Makassar, South Sulawesi, Indonesia, - Hernianti , - Citrakesumasari ,   Department of Nutrition, Faculty of Public Health, Hasanuddin University, Makassar, South Sulawesi, Indonesia, Jafar Nurhaedar ,   Department of Nutrition, Faculty of Public Health, Hasanuddin University, Makassar, South Sulawesi, Indonesia, Indriasari Rahayu ,   Department of Nutrition, Faculty of Public Health, Hasanuddin University, Makassar, South Sulawesi, Indonesia, Zulkifli Andi ,   Department of Epidemiology, Faculty of Public Health, Hasanuddin University, Makassar, South Sulawesi, Indonesia, Amqam Hasnawati ,   Department of Promotion, Faculty of Public Health, Hasanuddin University, Makassar, South Sulawesi, Indonesia
Published: April 2023

26.8% and at the age 0f 15-24 years is 30.2%. Government initiatives to prevent anemia by dispensing iron supplements without teaching have left adolescent girls with little knowledge of anemia, necessitating substantial informative efforts through social media. Instagram is less popular than Whatsapp as a tool for educating adolescent girls about anemia. The purpose of this study is to compare the effects of WhatsApp and Instagram as instructional media on knowledge, attitudes, and eating patterns among adolescent girls in order to prevent anemia. This study employed a control group and a pre-test post-test quasi-experimental design. In this study, participants (n = 60) were split into two groups: the intervention group (n = 30) used Instagram at Junior High School 30 Makassar, while the control group (n = 30) used WhatsApp at Junor High School 14 Makassar. A general questionnaire and a food frequency questionnaire were used to collect the data, which was then analyzed using the repeated ANOVA test to compare each group's results before and after the intervention and the unpaired t-test to compare the Instagram group to the WhatsApp group. The findings indicated that the Instagram group's knowledge (61.50+82.67 vs 82.67+11.651), attitude (81.93+8.682 vs 89.23+6.683), and eating behaviors (467.10+197.269 vs 486.45+212.911) had different values before and after the intervention. In the WhatsApp group, these differences were 54.17+10.093 vs. 60.83+13.714 for knowledge, 73.20+10.179 vs. 83.40+13.255 for attitude, and 553.10+204.985 vs. 518.28+161.929 for eating habits. With a p-value of 0.05, there were differences between the WhatsApp and Instagram groups in terms of knowledge (0.000), attitude (0.000), and eating habits (0.002). Therefore, this study's conclusion is that educating adolescents using Instagram as a medium is more effective in improving their knowledge, attitudes, and eating habits.
基于支持性评价的教育知识图谱模型及其应用
Authors:   火箭军工程大学, 王 静 , 李 应岐 ,   火箭军工程大学, 方 晓峰 ,   火箭军工程大学, 郑 丽娜 ,   火箭军工程大学
Published: April 2023

问题解决的过程是能力展示和思维发展的过程。学生的能力展示和解答疑惑的需求得到满足时，就会表现出更大的动力和热情。本文提出立足于以“支持性评价”引导学习，通过类似游戏“闯关”的设计，依据客观问题自主测试的作答结果推送新的问题，为学习者精准“把脉问诊”，获得即时评价的同时明确自己的学习成效和缺陷的方法。并且，本文针对学生的学习缺陷自动为学习者推荐学习资源，以支持其自主学习。本文着重介绍了“支持性评价”的设计理念，阐述了基于“支持性评价”的教育知识图谱模型的构建，以及图谱在能力提升和发展性评估等方面的应用机制。
Financial Inclusion: Factors Influencing on Customer Adoption of Mobile Banking Services in Bangladesh
Authors: Salah Uddin K. M. , Begum Tahmina
Published: April 2023

Rapid growth in mobile banking has prompted banks to invest in mobile banking in Bangladesh.  This study identifies the factors that are influencing the customer adoption of mobile banking in Bangladesh. The theories of A cognitive theory, the theory of reasoned action (TRA), and the Technology Acceptance Model (TAM) have been selected as the baseline theories. 320 questionnaires were sent to the customers of Bangladesh's leading mobile banking companies, 315 are returned, but 300 are usable for the analysis. This study found that perceived risk, relative advantage, trust and convenience influence individual tendencies to embrace mobile banking in that order. Reliability test, correlation, and multiple regression analysis were used after entering the data into SPSS. Each variable used a 5-point Likert scale. The findings of this investigation will have major consequences for the economy of Bangladesh, particularly with regard to the financial sector and have also substantial consequences for policymakers and bank management to develop their financial plans and policies in order to increase participation in and success within the Bangladeshi banking industry.
A Proposed Framework for the Development of the Internal Control System According to the COSO Model: An Applied Study
Authors: Mahmoud Nashwan Iskandar , Eid Ashour Khaled
Published: April 2023

The research aims to develop the internal control system in Gaza's municipalities in accordance with the proposed COSO model to achieve the goal for which it was found. The research used the analytical descriptive curriculum to prepare the applied aspect of the study, where the two researchers used data collected by the study tool, a questionnaire that is specifically designed for that purpose. The research followed a thorough survey methodology to apply the study instrument to all 122 Ministry of Local Government employees who operate in the various control units in the Gaza Strip municipalities. The results of the research indicated the positive impact of all components of the COSO model (control environment, control activities, risk assessment, information and communication systems, and monitoring and follow-up) on the development of the internal control system in the municipalities of the Gaza Strip. The research recommends that you should have to rely on a control manual based upon the updated COSO model and standards to be commensurate with the work and activity of local bodies. Furthermore, the establishment of a specialized department for fundraising to oversee project finance from donors and the activation of an awareness and control guidance committee within the municipal sector to raise awareness of the monitoring role.
A Note on Star-Pr"ufer Extensions
Authors: Paudel Lokendra , Tchamna Simplice
Published: April 2023

Let ★ be a star operation on a ring extension R \subseteq S . The ring extension R \subseteq S is said to be a ★-Pr¨ufer if R[p] \subseteq S is a Pr¨ufer extension for each ★-prime ideal p of R. We study properties of ★-Pr¨ufer extensions. In particular, we investigate the transfer of star-Pr¨ufer properties from the extension R \subseteq S to the extension R[X] \subseteq S [X] of polynomial rings, where X is an indeterminate over S .
What was the impact of business performance on MSMEs during the COVID-19 pandemic?
Authors: Achmadi Hendra , Jayanagara Oscar , Sutawijaya Ahmad Hidayat
Published: April 2023

The COVID-19 pandemic has caused changes in the pattern of interactions between people and has also had an impact on market traders in Indonesia. The purpose of this research is to increase the competitiveness of MSMEs through entrepreneurial orientation, market orientation and technology orientation toward product innovation and their impact on MSMEs’ business performance. This study uses the partial least squares structural equation modeling (PLS-SEM), and convenience sampling was used to select 160 MSMEs for the study sample. Based on the path coefficients that lead to business performance, technology orientation has a value of 16.1, followed by product innovation with a value of 10.6, market orientation with a value of 0.009, and entrepreneurship orientation with a value of 0.004, which have a positive effect on business performance. But if you look at what influences product innovation, the first is technology orientation at 0.357, followed by market orientation at 0.325, and entrepreneurial orientation at 0.245. This means that technology orientation is vital in improving business performance and product innovation.