bluuebunny/crossref_metadata_2025 huggingface dataset:
Intelligent Assessment and Feedback: Managing Student Learning States in Industrial Education
Authors: Chen Man , Zhang Xinyu , Sun Changzhong
Published: August 2024

Students are the main body of the classroom, and their learning status reflects the quality of classroom teaching to a certain extent. This paper aims to manage students’ learning status in industrial education classrooms by designing a student learning status assessment system. The collected video data from industrial education classrooms are processed by binarization and histogram equalization. The key technologies, such as face detection and eye movement analysis, are used to detect the learning status of students in the industrial education classroom, and the functional modules, such as data acquisition and statistical analysis, are combined to form this paper’s student learning status assessment system based on facial feature detection. It is found that the face detection algorithm of this paper’s system improves the detection accuracy by 11.35% compared with the baseline algorithm when the standard difficulty is difficult, and this paper’s algorithm is able to successfully detect and display the students’ facial features through 68 key feature points. The system in this paper is able to detect students’ learning states, such as concentration, fatigue, and doubt, by analyzing their eye movement frequency and other indicators. After applying the system discussed in this paper, the final grades of students in industrial education have significantly improved.
Exploring the machine learning approach to the cultural and ecological sustainable development of Fuzhou tea picking opera
Authors: Liu Fen , Yuan Mengjue
Published: August 2024

The article introduces machine learning based on a support vector machine to illustrate the scenario of Fuzhou Tea Casting Opera, a folkloric non-heritage research and ecologically sustainable development, from the perspective of economic return prediction. Fine-grained information recognition and extraction of massive, unstructured UGC data are used for data collection preprocessing in this paper. Mostly, the relationship is established by analyzing the training samples to establish the connection between input and output data. The limited sample information is used to find the best compromise between the model’s complexity and learning ability. Then, search for the parameters that make the geometric interval the largest so as to construct the function and obtain the optimal hyperplane. In this paper, the kernel function is introduced using a ɛ -insensitive loss function. To obtain the decision function in different cases, two cases are modeled using support vector machine regression. Finally, the support vector machine model is used to predict the economic benefits of the Fuzhou tea-picking operation. The SVM prediction model’s prediction error of the economic benefits of tea-picking opera for the nine years from 2010 to 2018 is always maintained at a safe value below 0.035. The accuracy and stability of the prediction effect of the decision tree model and the gray prediction model are not as good as this paper’s model. It shows that the model presented in this paper is more suitable for predicting the benefits of the cultural and ecological sustainable development of Fuzhou tea-picking opera.
Design of Customized Teaching Strategies Based on User Behavior Analysis in the Digital Transformation of Health Education
Authors: Liu Zhihan , Huang Jing
Published: August 2024

With the greater popularity of the Internet, on the one hand, online education platforms have flourished and education informatization has entered a new era, with massive learning behavior data generated by learners in different learning platforms. This paper constructs a portrait of student learning behavior based on the characteristics of their learning behavior in the health education class. Based on the clustering analysis method in the big data mining algorithm, the user’s behavioral characteristics are analyzed. On this basis, the algorithm is improved by using collaborative filtering personalized recommendation and introducing the LDA model, and a customized teaching model is constructed in the context of health education, and its application effect is explored. From the four dimensions of “course completion characteristics”, “teaching interaction characteristics”, “learning input characteristics,” and “learning achievement characteristics”, we analyzed different groups of students and investigated the effect of its application. “The behavioral characteristics of different groups of students were analyzed, and it was concluded that Group A and Group B performed better, but Group C accounted for a higher percentage of 24%. Finally, according to the collaborative filtering-based digital customized teaching on the students’ health education test scores for the pre and post-test, it was concluded that the average scores of the experimental subjects increased after the post-test. The mean scores for the third post-test were 4.27, 4.44, and 4.35, respectively. It can be concluded that the customized teaching model has a significant improvement in the students’ classroom teaching effectiveness.
Research on automatic biomass grading and quality assessment technology for tobacco industry based on deep convolutional neural network
Authors: Lu Zhimin , Zhang Wei , Jiang Quan , Dong Zixin , Li Huajie , Zhang Wei , Li Xiaogang
Published: August 2024

Automatic tobacco grading systems can promote the standardization and unification of tobacco acquisition activities, improve production efficiency, and promote the long-term stable development of this industry. In this paper, we first extract the shape and color features of tobacco leaf structure, use a support vector machine to determine the difficult samples, add the difficult samples to the training set, and use the deep convolutional neural network method to assign initial values to the model, which reduces the occurrence of a model overfitting phenomenon and improves the prediction accuracy. Constructing a convolutional neural network based on EfficientNetV2-S for an automatic tobacco grading model. The performance of the model was tested on HSV and RGB images, and finally, automatic tobacco grading was applied to two batches of high-quality and good tobacco. It is found that the accuracy of the model training set and test set of this paper is 0.077 and 0.094 higher than that of the VGG16 model on HSV and RGB images, respectively, and there is no upward trend in the loss function. The model’s training operation time for grading two batches of tobacco is 27.56 seconds, which is more efficient. The accuracy rate of the two batches of tobacco is higher than 90%. The model in this paper in the practical application performance in addition to a higher degree of grading efficiency and accuracy, which is stronger than the manual identification in terms of efficiency and accuracy recognition stability. This paper’s research offers a feasible path and useful exploration to effectively improve production efficiency and optimize the process in China’s tobacco industry.
A study of deep semantic matching in question-and-answer events in civil litigation in the environmental justice system
Authors: Zhu Xiaomiao
Published: August 2024

Information retrieval and text mining fields extensively utilize text semantic matching models. In this paper, civil litigation Q&A under the environmental justice system is taken as a specific research field, and after constructing a civil litigation Q&A system based on deep learning, two of the key techniques—question categorization and semantic matching—are selected as the main research content. Specifically, the ALBERT algorithm is used to extract word vectors, and the hidden feature vectors are obtained through BiLSTM modeling of contextual relationships and then combined with the Attention mechanism for scoring and weighting to obtain the final text-level vectors for classification so as to establish the civil litigation question classification model based on ALBERT. Then, we establish the BERT-based civil litigation question and answer matching model by sorting the set of candidate answers by semantic matching degree based on the BERT algorithm. Selected datasets and comparison algorithms are experimented with, and the analysis shows that the question classification model has a better effect than civil litigation question text classification, and the values of each index have been improved by 0.75%~3.00% on the basis of the baseline model. The MAP and MRR values (0.76~0.86) of the question-matching model are higher than those of the comparison model, verifying its superior performance in semantically assigning characters. The model proposed in this paper is more useful because it can provide civil litigation counseling to the public.
Research on Diversification of College Students’ Employment Strategies and Optimization of College Management System
Authors: Xie Hongyang , Yusoff Azlina Mohd , Hasan Shahizan , Fauzee Mohd Sofian Omar
Published: August 2024

The purpose of this article was to explore the diversification of employment strategies among vocational and technical college students in Lishui, Zhejiang, China, and to propose optimization strategies for college management systems to support these diversified employment strategies. In recent years, the employment situation for college graduates has been severe, with persistent pressure on college students’ employment prospects. This study used a partial least squares logistic regression model to investigate the employment quality of college students. The methodology included verifying the fit and significance of the regression model, analyzing relevant factors that affect employment, and proposing optimization strategies for college management systems. The study started with a discussion on the growing competitive pressure in the job market caused by the increasing number of graduates. Survey data were collected from senior students in Zhejiang Province and analyzed using SPSS17. The regression model was found to have a high degree of fit, with significant Wald statistics. According to the results, 88% of students favored working in institutions and social service organizations, followed by government agencies, state-owned enterprises, and foreign enterprises. Private enterprises and military units were not as preferred. The study proposed several optimization strategies for college management systems, including standardizing career guidance courses, establishing a comprehensive web-based employment service platform, and implementing a feedback mechanism for continuous improvement. The objective of these strategies is to significantly enhance the job prospects for vocational and technical college students in Lishui, Zhejiang, China.
An Implicit Geometric Optimization Study of Intelligent Teaching Methods in the Reform of Public Physical Education Courses in Colleges and Universities
Authors: Ge Shishun , Ge Yirui
Published: August 2024

Virtual reality is an important realization of intelligent teaching methods, which is of great significance for the reform of public sports courses in colleges and universities. Aiming at the problem of the lack of three-dimensional information representation of the sports human body in virtual reality technology, this paper proposes a representation optimization method based on implicit geometry, which improves the traditional representation by pixel alignment features, voxel alignment features, and the introduction of z-difference. Experiments show that the new representation method has smaller representation errors and higher computational speeds. The table tennis forehand and backhand table tennis scores of the experimental group are higher than those of the control group by 7.8% and 12.5%, and the total score of the match ability reaches 71.05. The interest score is higher than that of the control group by 3.23 points. The positive effects of the new representation and intelligent teaching methods are evident.
Correlation between elevated neutrophil lymphocyte ratio, vasotropic inotropic score, cumulative fluid balance and level of reactive oxygen species in septic patients
Authors: Purwoko P. , Dewi F. H. , Prihandana P. A.
Published: August 2024

Introduction. Reactive oxygen species (ROS) serve as a biomarker in sepsis, while neutrophil lymphocyte ratio (NLR), vasotropic inotropic score (VIS), and cumulative fluid balance (CFB) correlate with inflammation and mortality. Understanding the correlation between elevated ROS levels and these markers aids in prognostication.

The objective is to study the correlation between the increased level of neutrophil/lymphocyte ratio, vasotropic and inotropic index, total fluid balance and reactive oxygen species level in patients with sepsis.

Materials and methods. A prospective cohort study in RSUD Dr. Moewardi’s ICU/HCU from June to August 2023 employed univariate, bivariate (Spearman correlation), and multivariate logistic regression analyses.

Results. Among 34 sepsis patients, NLR and VIS showed significant positive correlations on day one, and NLR, VIS, and FB on day three. Delta changes in NLR and VIS significantly correlated with ROS.

Conclusion. NLR and VIS changes predict ROS levels, while CFB exhibits weak correlations, which deserve additional investigation. This underscores the importance of NLR and VIS as prognostic indicators in sepsis.
Mechanical Restraint as Knowledges, Perceptions, Attitudes of Nursing Students: A Pilot Study
Authors:   University Hospital, Surgical & Medical DepartmentThis aspect highlights the need for enhancing their knowledge and improving their attitude towards professional practice, aiming to strengthen their competence in this area, Alex Cona
Published: August 2024

This aspect highlights the need for enhancing their knowledge and improving their attitude towards professional practice, aiming to strengthen their competence in this area
Recognizing Rare Metastatic Presentations of Vulvar Cancer to Bone and Brain: A Short Review
Authors:   Charleston Area Medical Center, Foulger Landon
Published: August 2024

Distant metastasis of vulvar cancer beyond the pelvis is rare. Overall prognosis in distant metastasis is poor and data on primary treatment in these cases are limited due the uncommon nature of the advanced disease.
Innovative Strategies for Ovarian Aging: The Role of Gut Microbiota
Authors:   The Second Affiliated Hospital Of Army Military Medical University, Dai Qian
Published: August 2024

This commentary highlights the significant role of gut microbiota in modulating ovarian function and aging, proposing it as a novel strategy for preventing and alleviating ovarian aging.
We Do Not Let History Shroud Us: The Body as Curriculum and Its Refractive Possibilities
Authors: Patel Shyam , Alvi Saba
Published: August 2024

As two South Asians in the diaspora, we situate the significance of the body as a curriculum, where our lived experiences and stories supported us in navigating the COVID-19 pandemic. We engage in the method of life writing to attend to specific narratives that have framed our diasporic identities. Through that engagement, we seek to demonstrate how we struggle with questions about belonging and dislocation, while also finding ways to overcome those challenges and realities in our everyday lives. Gripped by memories formed through phone calls and visits, with miles between us and the place we know as South Asia, we posit that the diasporic body forms a curriculum by way of a Brown(ing) body. We make the case that such a body has always had to refract in all its complexities and nuances—pandemic or not. Accordingly, we then consider how our lived experiences and subjective bodies informed the pedagogical possibilities of navigating the morbid pandemic as it touched the lives of the students we worked with. Our collaborative writing is therefore an offering of hope and sustenance that emerged during a pandemical time of grave uncertainty and profound loss.
Embracing Change and Refraction: A Prism Through Pandemic Times
Authors: Nellis Robert Christopher , Ricketts Kathryn Ann
Published: August 2024

This special issue initially arose from the 2019 Provoking Curriculum Studies Conference at the University of Regina. Shortly after the conference, the world was thrown into the COVID-19 pandemic. The papers in this special issue view the pandemic through a prism to consider existing practices within the academy and reflect upon and imagine new possibilities for academic work and lives. Author explorations include arts-based inquiry, grief, peer-to-peer support, Indigenous Métissage, poetic inquiry and diasporic bodies.
Proposal “Deal of the Century” dan Dampaknya bagi Proses Perdamaian Palestina-Israel
Authors: Wardoyo Broto
Published: August 2024

In January 2020, President Donald Trump put forward a peaceproposal which he claimed to be the “deal of the century”. It is apeace proposal that offers general framework on settlement ofborders, sovereignty of the Palestinian state, the status ofJerusalem, and refugees’ issue as well as a framework oneconomic cooperation between Palestine and Israel which Trumpinsisted as a fair final solution for the Palestinian-Israeli conflict.This article seeks to assess the impact of this proposal to thePalestinian-Israeli peace process. In doing so, this article comparesthis proposal with previous agreements and concludes that thisproposal brings negative, rather than positive, impacts to the peaceprocess since it is not based on a balance positioning between thetwo conflicting parties. This proposal strengthens Israeli’s claimand hence enhances their position in the negotiation whichindicating the inability of the United States to serve as an honestbroker to the peace process. In addition, this proposal was putforward by President Trump during an unfavorable condition inboth Palestinian and Israeli domestic politics. The only positiveaspect of this proposal is that it can serve as a reason to restartnegotiation process. Therefore, this proposal should be consideredonly as a steppingstone to open another round of peace negotiationbetween Palestine and Israel and should not be implemented as it is.
Kerja Sama Internasional dalam Mengatasi Dampak Negatif Cuaca Antariksa
Authors: Wibowo Antonia Rahayu Rosaria
Published: August 2024

Space weather refers to the dynamic condition of the sun and space environment and also its impacts on the technology system. Space weather influences human life because human depends on space assets like communication satellite and navigation. If there is a problem related to space weather, humans on Earth will feel it. This paper answers a question on how is international cooperation to overcome the negative impacts of space weather. The aim of this paper is to elaborate and analyze international cooperation to overcome the negative impacts of space weather by using international organization and cooperation theory. This paper used a descriptive method by describing the negative impacts of space weather and the international cooperation that has been conducted to overcome them. International Space Weather Initiative (ISWI), International Space Environment Service (ISES), and Pan-European Consortium for Aviation Space Weather User Services (PECASUS) were discussed in this paper. The analysis shows that ISWI, ISES, and PECASUS emerged due to awareness among countries regarding the negative impacts of space weather. Those international cooperation efforts have their respective duties and functions. However, all three are associative, contribute to human life in the future, and are able to control the behavior of member countries.
Diplomasi Publik dan Soft Power: Sama atau Berbeda?
Authors: Trisni Sofia , Putri Ardila
Published: August 2024

Public diplomacy has been a long-standing practice that continues to this day. Both developed and developing countries aim to design public diplomacy programs that are well-received by their target audience. Public diplomacy is closely linked to the concept of soft power, which became popular after Joseph Nye coined the term in the 1990s. Countries implement public diplomacy because they believe it can enhance their soft power. In Indonesia, the relationship between public diplomacy and soft power has been widely discussed in academic articles. However, there still needs to be a consensus on whether the two concepts are the same or different. This article aims to clarify their relationship using a literature review of articles written by leading scholars in the field. Based on the review, it can be concluded that public diplomacy and soft power are different but interconnected. Public diplomacy is often implemented to promote or generate soft power.
Diplomasi Vaksin Covid-19 Jepang di Vietnam
Authors: Rizkiyanti Amanda Femalia , Rosyida Hamdan Nafiatur
Published: August 2024

Japan conducted its COVID-19 vaccine diplomacy through bilateral channels and independently, without relying on the COVAX Facility. Vietnam was the first country to receive vaccine assistance from Japan and received the largest dosage compared to other Southeast Asian nations. This was driven by Japan's desire to ensure the resilience of its supply chain in Vietnam, strengthen future political and economic ties, facilitate post-COVID-19 economic recovery, and solidify its image as a humanitarian aid donor. This study aims to describe the implementation of Japan's COVID-19 vaccine diplomacy in Vietnam. A qualitative research method with a descriptive approach was employed. The analysis revealed that Japan has successfully implemented vaccine diplomacy through bilateral and multilateral cooperation. As a result of this vaccine diplomacy, Japan has gained both emotional and material benefits. The emotional benefit lies in the increased trust of Vietnam in Japan, while the material benefits include Vietnam accepting Japanese companies relocated from China, promoting Japanese tourism in Vietnam, and enhancing trade relations between the two countries to aid Japan's post-COVID-19 economic revitalization.
Transnational Crime of Illicit Drugs in Southeast Asia
Authors: Harza Zulkifli
Published: August 2024

The cooperation of the actors in harmonizing their views on the drug phenomenon is needed. Over the last decade, the dynamics that define the regional security environment in Southeast Asia have changed dramatically. In this study, a descriptive qualitative methodological approach was adopted to explore an in-depth understanding of cross-border crime in the illegal drug trade in Southeast Asia. The conclusions of this analysis will help enrich our understanding of cross-border illegal drug transactions in the region, as well as provide a basis for formulating better policy recommendations to effectively address this challenge. ASEAN needs to strengthen its commitment of cooperation and continuously make efforts were tireless in the fight against drugs.
Diplomasi Ekonomi Indonesia dalam Meningkatkan Ekspor Produk Tekstil ke Australia melalui IA-CEPA Tahun 2020-2023
Authors: Amani Syifa Humaira , Salam Syahrul
Published: August 2024

This research aims to analyze the economic diplomacy strategy carried out by Indonesia to export textile products, especially apparel, to Australia through the Indonesia Australia Comprehensive Economic Partnership Agreements (IA-CEPA) for 2020-2023. In this research, the method used is a descriptive method using interviews and literature study. The research results show that although the overall export trend shows positive results, there has been no significant change in exports of Indonesian textile products since IA-CEPA was implemented. This happens because there are still trade challenges both internal and external. The economic diplomacy carried out by the Indonesian Government is not only to overcome these challenges but also to encourage increased exports of Indonesian textile products to Australia. Economic diplomacy is analyzed based on Kishan S. Rana's theory which consists of four stages, namely economic salesmanship, networking, image building, and regulation management. Economic diplomacy is carried out through exhibitions, network expansion, information dissemination, promotions digital, and accelerated implementation of IA-CEPA with a memorandum of understanding and issuing Minister of Trade Regulation No. 36 of 2023 concerning Import Policies and Regulations to protect the domestic textile industry.
The FEMhub Project and Classroom Teaching of Numerical Methods
Authors: Solin Pavel , Certik Ondrej , Regmi Sameer
Published: August 2024

We introduce briefly the open source project FEMhub and focus on describing how it can be used for live demonstrations of elementary numerical methods in daily classroom teaching.
Pysynphot: A Python Re-Implementation of a Legacy App in Astronomy
Authors: Laidler Victoria G. , Greenfield Perry , Busko Ivo , Jedrzejewski Robert
Published: August 2024

Pysynphot is a package that allows astronomers to model, combine, and manipulate the spectra of stars or galaxies in simulated observations. It is being developed to replace a widely used legacy application, SYNPHOT. While retaining the data-driven philosophy of the original application, Pysynphot’s architecture and improved algorithms were developed to address some of its known weaknesses. The language features available in Python and its libraries, including numpy, often enabled clean solutions to what were messy problems in the original application, and the interactive graphics capabilities of matplotlib/pylab, used with a consistent set of exposed object attributes, eliminated the need to write special-purpose plotting methods. This paper will discuss these points in some detail, as well as providing an overview of the problem domain and the object model.
Editorial
Authors: Varoquaux Gael , Walt Stéfan , Millman Jarrod
Published: August 2024

SciPy 2009 marks our eighth annual Python in Science conference and the second edition of the conference proceedings. The conference and these proceedings highlight the ongoing focus of the community on providing practical software tools, created to address real scientific problems.
Fast numerical computations with Cython
Authors: Seljebotn Dag Sverre
Published: August 2024

Cython has recently gained popularity as a tool for conveniently performing numerical computations in the Python environment, as well as mixing efficient calls to natively compiled libraries with Python code. We discuss Cython’s features for fast NumPy array access in detail through examples and benchmarks. Using Cython to call natively compiled scientific libraries as well as using Cython in parallel computations is also given consideration. We conclude with a note on possible directions for future Cython development.
Neutron-scattering data acquisition and experiment automation with Python
Authors: Zolnierczuk Piotr A. , Riedel Richard E.
Published: August 2024

PyDas is a set of Python modules that are used to integrate various components of the Data Acquisition System at Spallation Neutron Source (SNS). PyDas enables customized automation of neutron scattering experiments in a rapid and flexible manner. It provides wxPython-based GUIs for routine experiments as well as IPython command line scripting environment. Matplotlib and NumPy are used for data presentation and simple analysis. PyDas is currently used on a number of SNS instruments and plans exist to deploy it on new ones as they come on-line.
Converting Python Functions to Dynamically Compiled C
Authors: Schnell Ilan
Published: August 2024

Applications written in Python often suffer from the lack of speed, compared to C and other languages which can be compiled to native machine code. In this paper we discuss ways to write functions in pure Python and still benefit from the speed provided by C code compiled to machine code. The focus is to make it as easy as possible for the programmer to write these functions.
Interval Arithmetic: Python Implementation and Applications
Authors: Taschini Stefano
Published: August 2024

This paper presents the Python implementation of an interval system in the extended real set that is closed under arithmetic operations. This system consists of the lattice generated by union and intersection of closed intervals, with operations defined by image closure of their real set counterparts. The effects of floating-point rounding are accounted for in the implementation. Two applications will be discussed: (1) estimating the precision of numerical computations, and (2) solving non-linear equations (possibly with multiple solutions) using an interval Newton-Raphson algorithm.
Use of mining effluents for the production of algal-based colorants
Authors: Pérez-Roa Michael E. , Ortiz-Álvarez Maria D. , García-Martínez Janet B. , Barajas-Solano Andrés F. , Barajas-Solano Crisóstomo
Published: August 2024

In this research, a mining effluent was used to produce microalgal and cyanobacterial biomass to obtain red (carotenoids) and blue pigments (phycocyanin). Two strains were isolated from a hydrothermal source in Norte de Santander and grown in mining wastewater mixed with 50% BG-11 medium for the Osci_UFPS01 cyanobacterium and 50% with Bold Basal medium for the Chlo_UFPS01 microalgae. A carbon, nitrogen, and phosphorus experiment design was developed, and subsequent response surface analysis (RSM) was used to determine the optimal operating conditions for the formation of the products of interest. A notable decrease in pigment production was observed compared to that in the controls without mining wastewater. Overall, 45% of phycocyanin (C PC) per unit dry weight (DW) and 1,129% (w/w) of carotenoids were obtained in the cultures with a mining wastewater mixture in the final optimization processes.
Revisión sistemática de las metodologías de mejora para la optimización en la gestión de producción en el sector de restaurantes
Authors: Braúl Oviedo Brian E. , Ruiz Edgar C.
Published: August 2024

La presente investigación tuvo como objetivo identificar las metodologías para la optimización en la gestión de producción en restaurantes. Se aplicó el método de revisión sistemática de la literatura utilizando metabuscadores relevantes como: ScienceDirect, Scopus y Web of Science; se prosiguió con la determinación de la fórmula de búsqueda, dando lectura y análisis de los resultados para identificar los métodos de mejora; finalmente, se realizó la síntesis de los artículos más relevantes y de mayor innovación. La investigación tuvo como resultado 46 artículos de diversos tipos de metodologías que optimizan la gestión de producción en todos sus aspectos en los restaurantes.
Simulation of the absorber layer thickness variation in SnS solar cells using Matlab
Authors: Rondón Almeyda Carlos , Rojas Rincón Clara L , Sepúlveda Sepúlveda Alexander , Botero Mónica A , Mantilla María A.
Published: August 2024

The study of thin-film solar cells based on tin sulphide is becoming increasingly relevant due to its advantages over similar technologies, such as its low cost, toxicity, and the fact that its constituent elements are more abundant in the earth's crust; besides, they could be made by thigh vacuum techniques like thermal spraying, sputtering, co-evaporation, or thermal evaporation. On the other hand, Simulations allow modelling of the behaviour of solar cells to understand the processes and improve the device's efficiency. Therefore, in this work, the simulation process is carried out using mathematical models that represent the physical behaviour of the solar cell made of heterojunction of several thin films with ZnO/ZnS/SnS configuration. Two radiation models were evaluated, one using a theoretical equation and the other with data from the incident radiation. Until today, different simulations of solar cells have been carried out mainly using a Solar Cell Capacitance Simulator (SCAPS); however, this research was developed using MATLAB due to its performance and efficiency. The optimal thickness of the absorbent layer was established from the results obtained for open circuit voltage (Voc), short circuit current density (Jsc), fill factor and conversion efficiency (n).
Kajian Keberhasilan Implementasi Kebijakan Online Single Submission Risk Based Approach (OSS-RBA) di DPMPTSP Kabupaten Ketapang pada Perusahaan Perkebunan
Authors: Lubis Bambang Irwansyah , Krisdiarto Andreas Wahyu , Listyani Listyani
Published: August 2024

Online Single Submission Risk Based Approach (OSS-RBA) is a risk-based business licensing service system that is carried out online. It is important to know about the application of the OSS-RBA Policy because it relates to the country's national achievements in simplifying the business licensing process and attracting foreign investors. The plantation business sector, especially oil palm, is important to pay attention to. The high contribution of the country's foreign exchange originating from this industry is one of the reasons the government has made the business licensing process smooth. For this reason, this research aims to measure the level of success in implementing the OSS-RBA Policy in the Investment and One-Stop Integrated Services Service (DPMPTSP) Ketapang Regency, especially in plantation companies. This research uses a mixed method with purposive sampling. In this study, respondents were divided into two groups, specifically 4 respondents from the policy implementer and 35 respondents from the oil palm plantation company. The George Edward III Policy Implementation Model used theory, which determined four indicators that influence implementation: communication, resources, disposition, and bureaucratic structure. The research on communication indicators showed that there had been a clear and consistent transmission of information from policymakers to policy implementers and business actors. Meanwhile, equipment and authority resources have been fulfilled in the resource indicators. For disposition, licensing services have been provided optimally. Finally, regarding bureaucratic structure indicators, DPMPTSP Ketapang Regency has done SOPs for services and licensing activities.
Abordagem de temáticas para gerenciamento de consultório odontológico em cursos de graduação
Authors: Alves Luiz Carlos Costa Madeira , Simplício Isadora Maria Paiva , Cardoso Maria Clara Lima Barbosa , Furtado Joana Lia Freitas , Veloso Camille de Sousa , Lins Bryany Angélica Nobre , Gomes Teresa Raquel Alexandrino , Marques Karyne Barreto Gonçalves , Aguiar Dulce Maria de Lucena , Marques Paulo Leonardo Ponte
Published: August 2024

Objetivo: Definir as temáticas necessárias para o gerenciamento de consultório odontológico, como competências comportamentais e cognitivas, que são abordadas e elaboradas no setor da gestão de consultório, nos cursos de graduação em Odontologia, no Brasil. Métodos: Trata-se de uma revisão integrativa de literatura, que foram avaliados artigos científicos indexados nas bases de dados Scielo e PubMed, em portuguesa e inglesa. Resultados: Um total de 89 publicações foram encontradas nas bases de dados. Após leitura do título e do resumo, 74 artigos foram excluídos, sendo escolhidos 8 artigos para compor a revisão. A falta de conhecimento nos assuntos administrativos faz com que os cirurgiões-dentistas passem a atuar com decisões intuitivas e aleatórias, tornando o planejamento emergente e não estratégico. Uma das alternativas para atrair e fidelizar clientes é através do marketing em odontologia. Dois desses métodos utilizados ocorrem através de divulgação e propagandas, desde que respeitem o código de ética odontológico. Considerações finais: Portanto, os temas como empreendedorismo, administração e marketing na odontologia precisam ser abordados na graduação para que o aluno esteja preparado para abrir o seu próprio consultório e saiba permanecer no mercado diante da concorrência.
Awakening the thymus to cure SARS-CoV-2 infection: a matter of genes
Authors: Marullo Stefano , Remi Cheynier
Published: August 2024

Establishing an appropriate immune response is essential to recover from viral diseases such as COVID-19.The thymus, an organ of the immune system, plays a vital role in producing new T-lymphocytes that help eliminate the virus that causes COVID-19. We recently discovered that a genetic trait determines the effectiveness of thymic activity in fighting this virus, and thus the clinical outcome.
Haemophagocytic lymphohistiocytosis post-ChAdOx1 nCoV-19 vaccine: A rare case
Authors: MARWAH VIKAS , CHOUDHARY ROBIN , KUMAR TENTU AJAI , SHARMA MANISH
Published: August 2024

The severe acute respiratory syndrome coronavirus 2 pandemic started in December 2019, spread like wildfire and took an immense toll on human life. ChAdOx1 nCoV-19 vaccine was used worldwide for the prevention of Covid-19. Covid-19 has been implicated in the causation of severe haemophagocytic lymphohistiocytosis (HLH) syndrome. However, the same has not been reported with ChAdOx1 nCoV-19 vaccine in the literature. We report a young man who developed secondary HLH post-ChAdOx1 nCoV-19 vaccination.
PENDAMPINGAN PEMANFAATAN CANVA, MENTIMETER, DAN MEDIA KARYA GURU DI SMP ISLAM AL-MAARIF 02 SINGOSARI
Authors: Setyowati Lestari , Zubaidi Nanang , Karmina Sari , Anugerahwati Mirijam , Dalopo Firslady
Published: August 2024

Abstract. To help achieve the teaching objectives and make the learning activities runs well in the class,  teachers are encouraged to use technology-based and non-technology-based instructional media. However, not all teachers have the skills to make them. This community service aims to equip teachers in Islamic Junior High School Al-Ma'arif 02 Singosari with practical skill to create and develop instructional media, both electronic and non-electronic appropriate and relevant to their respective subjects. The methods used were conducting need analysis, coordinating, planning, implementing, reflecting, and carrying out follow-up plans for the community service. Participants in this activity were 19 teachers at Al-Maarif Islamic Junior High School 02 Singosari Malang. The workshop was held for two days on 23-24 June 2023. The results showed that the teachers were able to develop activities in non-electronic media in the form of snakes and ladders game that were adapted to their respective subjects and were able to make learning posters using Canva (95%). The results of the reflection show that all teachers (100%) got a lot of benefits from the community service and hope that similar activities were conducted more often in the future.

 

Abstrak. Untuk menunjang kelancaran kegiatan belajar mengajar di kelas, guru seyogyanya membuat media pembelajaran berbasis teknologi maupun non teknologi. Namun tidak semua guru memiliki keterampilan untuk membuat media tersebut. Pengabdian pada masyarakat ini bertujuan untuk membekali guru di SMP Islam Al- Ma’arif 02 Singosari untuk membuat dan mengembangkan media pembelajaran baik elektronik maupun non eletronik yang sesuai dengan mata pelajarannya masing-masing. Metode yang dilakukan adalah melakukan analisis situasi, melakukan kordinasi, membuat perencanaan, melaksanakan pengabdian, melakukan refleksi, melakukan rencana tindak lanjut pengabdian. Peserta dari kegiatan ini adalah 19 orang guru di SMP Islam Al- Maarif 02 Singosari Malang. Workshop dilaksanakan selama dua hari, yaitu di tanggal 23 – 24 Juni 2023. Hasil pengabdian menunjukkan bahwa guru mampu berkreasi dengan media non elektronik berupa ular tangga yang disesuaikan dengan mata pelajarannya masing-masing, dan mampu membuat poster pembelajaran dengan menggunakan Canva (95%). Hasil refleksi menunjukkan bahwa semua guru (100%) berharap pengabdian pada masyarakat tersebut berkelanjutan, dan merasa mendapatkan banyak manfaat dari kegiatan tersebut.

 

 

 
PENDAMPINGAN GURU MGMP MATEMATIKA OGAN KOMERING ILIR DALAM MERANCANG ASSESSMENT BERBASIS PEMODELAN UNTUK MENUNJANG AKM PESERTA DIDIK
Authors: Hartono Yusuf , Hiltrimartin Cecil , Araiku Jeri , Nuraeni Zuli , Kurniadi Elika
Published: August 2024

Abstract. Mathematical modeling is the process of mathematizing real-life problems into mathematical language. Modeling assessment is conducted to evaluate student learning outcomes at the end of the learning process and to gather information on students’ abilities, guiding teaching strategies. The lack of teacher competence in preparing mathematical modeling assessments and students' struggles in mathematical modeling result from a lack of experience in connecting mathematical concepts with real-life problems. This service activity aims to provide training for mathematics teachers in developing assessments based on mathematical modeling to enhance students' AKM. It also aims to understand the response of MGMP mathematics teachers to the training and to obtain high-quality learning tools based on mathematical modeling. The model for implementing this activity is a mentoring model designed to enhance teacher professionalism in preparing teaching and learning activities, particularly in creating digitally assisted learning tools. A total of 22 participants from Ogan Komering Ilir Regency took part in this activity, conducted synchronously and asynchronously. The analysis of the satisfaction response questionnaire revealed positive results in terms of relevance, material attractiveness, practicality, program design, feedback, and recommendations.

 

Abstrak. Pemodelan matematika merupakan proses matematisasi dari permasalahan kehidupan nyata menjadi bahasa matematika. Asesmen pemodelan dilakukan untuk mengetahui hasil pembelajaran siswa di akhir pembelajaran dan juga untuk mendapatkan informasi kemampuan siswa agar bisa menentukan tindakan dalam mengajar siswa. Kurangnya kompetensi guru dalam menyusun asesmen pemodelan matematika dan kelemahan siswa dalam pemodelan matematika dikarenakan kurangnya pengalaman dalam menghubungkan konsep-konsep matematika pada permasalahan kehidupan nyata. Kegiatan pengabdian ini memiliki tujuan yaitu memberikan pelatihan kepada guru matematika dalam mengembangkan asesmen berbasis pemodelan matematika untuk menunjang AKM peserta didik, mengetahui respon guru-guru MGMP matematika terhadap pelatihan, serta mendapatkan perangkat pembelajaran berbasis pemodelan matematika yang berkualitas. Model pelaksanaan kegiatan ini adalah model pendampingan berkelompok untuk meningkatkan profesionalisme guru dalam mempersiapkan kegiatan belajar mengajar khususnya dalam membuat perangkat pembelajaran yang berbantuan digital. Jumlah peserta yang menghadiri kegiatan ini sebanyak 22 orang peserta dari Kabupaten Ogan Komering Ilir yang dilakukan secara synchronous dan asynchronous. Hasil analisis angket respon kepuasan mendapatkan hasil yang positif dari aspek relevansi, daya tarik materi, kepraktisan, desain program, umpan balik, hingga rekomendasi.

 
PELATIHAN DAN PENDAMPINGAN MGMP GURU MATEMATIKA KABUPATEN SUKOHARJO DALAM PENGELOLAAN PEMBELAJARAN BERMUATAN ETHNOMATHEMATICS BERBASIS GOOGLE SITES
Authors: Toyib Muhamad , Faiziyah Nuqthy , Yuliana Irma
Published: August 2024

Abstract. The objective of this community service is twofold: (a) to provide junior high school teachers in Sukoharjo Regency with guidance on designing mathematics learning activities that incorporate ethnomathematics using Google Sites, and (b) to conduct workshops and training sessions for teachers to help them integrate ethnomathematics into their learning activities on Google Sites. The training is conducted offline in Sukoharjo with MGMP Mathematics partners. There were a total of 90 teachers from both public and private junior high schools in Sukoharjo who participated. This service activity is conducted through the subsequent phases: The preparation phase involves both internal and external coordination. The implementation stage focuses on introducing and training individuals in the development of ethnomathematics-based learning activities using Google Sites specifically developed for mathematics education. The instructors have received rigorous training in ethnomathematics and have gained new expertise in designing activities that incorporate this approach. They have also developed proficiency in using Google Sites as an educational tool in their classrooms. During the training sessions, the participants are actively and enthusiastically involved. Over 80% of the participants successfully created Google Sites that included educational activities related to ethnomathematics. Furthermore, there is a requirement for enhanced assimilation of cultural context in mathematics education, together with the provision of feedback.

 

Abstrak. Pengabdian kepada masyarakat ini bertujuan untuk: (a) memperkenalkan cara mendesain aktivitas pembelajaran matematika bermuatan ethnomatematika berbasis Google Sites bagi guru SMP di Kabupaten Sukoharjo; (b) mengadakan workshop dan melatih guru dalam mendesain aktivitas pembelajaran bermuatan ethnomatematika dan mengintegrasikannya dalam Google Sites. Pelatihan dilakukan secara luring dengan mitra MGMP Matematika di Sukoharjo. Pesertanya adalah 90 guru dari SMP Negeri dan Swasta di Sukoharjo. Kegiatan pengabdian ini dilakukan melalui tahapan sebagai berikut: persiapan, terdiri dari koordinasi internal dan eksternal; tahap implementasi yang meliputi pengenalan dan pelatihan pengembangan aktivitas pembelajaran bermuatan ethnomatematika berbasis Google Sites yang dirancang dalam pembelajaran matematika. Para guru telah dilatih secara teknis dengan pengalaman baru merancang aktivitas bermuatan ethnomatematika dan mengembangkan Google Sites sebagai sarana pembelajaran di kelas mereka; peserta terlibat penuh selama pelatihan. Lebih dari 80% peserta mampu mengembangkan Google Sites yang memuat aktivitas pembelajaran dengan ethnomatematika. Selain itu, terdapat umpan balik dan kebutuhan untuk peningkatan integrasi konteks budaya dalam pembelajaran matematika.

 