bluuebunny/crossref_metadata_2025 huggingface dataset:
Building a Revenue Prediction Model Based on Machine Learning Tuning Methods
Authors: Zhao Guowei , Cheng Ximing
Published: December 2023

In this paper, four types of machine learning techniques, namely decision trees, random forests, extreme gradient boosting, and ridge regression, are employed to predict the excess return of ‘tushare’ decadal data at monthly frequencies. The importance of each machine learning parameter is ranked, and the training order is prioritized accordingly. For the tree model, this paper gives priority to the criteria for tree splitting strategy, followed by the number of trees, tree depth, and leaf nodes. In the case of ridge regression, the only parameter considered is the regularization parameter. The rolling training method is utilized to conduct time series cross-validation for tuning the models one by one. After the tuning process, the models are used for rolling predictions. Finally, the backtesting results are employed to assess the predictive performance of each model. It is concluded that the ridge regression model achieves the highest annualized return of 22.22%. The decision tree, random forest, and extreme gradient boosting models yield annualized returns of 8.63%, 16.6%, and 15.71% respectively.
Research on Key Technologies of Big Data Analysis
Authors: Cai Jianjun , Ren Nver , Sun Erxin , Tian Yang , Zhang Jingming
Published: December 2023

With the advent of emerging computing services such as cloud computing and the decline in hardware prices, the unit price per GB of mechanical hard drives has plummeted by 87%, the amount of information on the Internet has shown explosive growth. Furthermore, the scale of data in large enterprises has reached EB level at present. These massive data form subject-oriented, integrated, relatively stable data warehouses which can reflect historical changes. How to process and analyze these data has gradually become the key technology of Big data. This paper will discuss the key technologies of Big data processing and analysis, such as data preprocessing and Big data analysis framework.
Research on Product Sales Forecasting Model Based on Machine Learning
Authors: Wang Pengcheng
Published: December 2023

In the cost management of supply chain, inventory management is particularly important. In order to help suppliers better manage inventory and reduce inventory turnover cost, this paper will study the commodity sales forecasting model based on random forest regression algorithm and genetic algorithm in the field of machine learning, so as to dynamically optimize and guide inventory management. First, variance selection method is used for the initial feature selection. Then the data set is trained and predicted using the random forest regression algorithm, and the feature importance is sorted, and the second feature selection is carried out. Then genetic algorithm is used to optimize the hyperparameters of random forest regression algorithm to get the best combination of hyperparameters. Finally, the optimal combination of hyperparameters is used to construct a model for the selected important features, and the sales volume of the product is forecasted. By comparing the evaluation indexes of the model, it is found that using the optimized parameters and important feature data for training, the prediction effect is better.
A Conflict Early Warning Platform Based on Multidimensional Personnel Relationships and Event Association Model
Authors: Wang Zuocheng , Luo Yanli , Ma Yunjie , Wang Xiaosi , Zhang Liyong , Peng Meng
Published: December 2023

Based on multidimensional personnel information, non-police incidents, online public opinion, petition, 12345 hotline, and conflict mediation data, natural language technology and big data analysis technology are used to extract and structure the multi-source data. The structured data is subjected to event relationship analysis, and an intelligent classification model is created for conflict classification to form a conflict and dispute subject library. The personnel theme information of conflict events is input into the personnel relationship model for high-frequency and high-risk personnel analysis and early warning. The event information of conflict events is input into the high-frequency and high-risk conflict model for high-frequency and high-risk conflict analysis and early warning. In the prevention and resolution of social governance conflicts, this platform provides a problem-oriented approach to strengthen the conflict resolution capabilities at the grassroots level, providing a practical solution for resolving conflicts at the initial and nascent stages.
Optimized Real-Time Object Detection and Tracking Using a Refined YOLOV4 Algorithm
Authors: Zuo Haiwei , Zhang Hehua , Zhu Yanping , Chen Yun
Published: December 2023

The subsequent disquisition unveils an innovative tracking stratagem, specifically tailored for automotive monitoring situations. The recommended tactic aspires to perfect the blueprint, augmenting the detection briskness via a judicious synthesis of YOLOv4 and DeepSORT. The conventional convolution integral within YOLOv4 succumbs to depthwise separable convolution, culminating in a diminished computational exertion and accentuated recognition speed. In addition, the CSPNet framework nestled within YOLOv4 undergoes a tweaking process to pare down the parameter quantity of the blueprint. Alterations in the attribute extraction network of the Deep SORT algorithm facilitate effective re-identification, rendering it ideally malleable for automotive pursuit situations. Experimental excursions on custom datasets signify that despite a slight depreciation in average precision, the detection frame rate skyrockets to an impressive 132.4 FPS, thereby catering to tracking task prerequisites on gadgets with finite performance aptitude. As a result, this academic endeavor proffers a convenient resolution for real-time automotive tracking in settings operating under resource restrictions.
A Survey on Data Pricing: Methods, Challenges, and Prospects
Authors: Chi Zangbo , Zhao Hua , Fang Zhi , Zhang Hong , Ji Liangliang , Yu Zengwen
Published: December 2023

As organizations increasingly rely on data-driven decision-making, understanding the true value and potential of data becomes crucial. Data pricing, which aims to determine the financial value of information, plays a pivotal role in data circulation and transactions. However, the existing surveys on data pricing have limitations that need to be addressed. This paper presents a comprehensive survey of big data pricing methods from a data science perspective. It begins by providing an overview of the fundamental concepts underlying data pricing and the data market. Subsequently, it delves into the general principles and challenges associated with data pricing. The survey categorizes and summarizes various approaches and methods employed in data pricing, assessing their respective advantages and disadvantages. In conclusion, this paper identifies potential research directions to enhance our understanding of data pricing. By rectifying the deficiencies in existing surveys, this comprehensive study aims to contribute to the development of effective data pricing strategies and foster advancements in the field of data science.
Reframing the returns on metadata investments through discoverability, usage, and analytics
Authors: Urberg Michelle
Published: December 2023

The interactions among metadata, content discoverability, and content usage have been undervalued by publishers for years. Despite the regular exhortations by librarians to encourage publishers to develop a good metadata program, it remains very difficult for them to make a robust business case for a positive return on investment from metadata creation and maintenance. However, with the ever-growing body of open access research and the production of datasets, blogs, websites, and other unique research outputs, it is an ideal time to revisit how metadata directly affects discovery and usage in the scholarly communications ecosystem. Certain pieces of metadata make demonstrable differences for helping or hindering end-user engagement, can increase or suppress usage, and, therefore, can be one of the keys to driving the business case for supporting open access and non-traditional scholarly outputs. Better metadata is key to gathering robust analytics on user-engagement.
Inflammatory Risk Status Shapes the Association Between Uric Acid and Cognitive Function in Non-Hyperuricemia Middle Aged and Elderly
Authors: Jiang Lujing , Hu Xiangming , Jin Junguo , Wang Weimian , Yu Bingyan , Chen Guo , Dong Haojian , Zhou Yingling
Published: December 2023

Background: The association between uric acid (UA) and cognitive function still remains controversial. Moreover, the role of inflammation in the above association is also unclear. Objective: We aimed to determine the association between UA and cognitive function among non-hyperuricemia adults, and in particular, whether the association was shaped by different inflammation levels. Methods: From the China Health and Retirement Longitudinal Study (CHARLS), 7,272 participants aged 45 and above were enrolled in 2011. Cognitive function measurement included orientation and attention, episodic memory, and visuospatial ability. Fasting blood samples were collected to measure levels of UA and high-sensitivity C-reactive protein (hs-CRP). Generalized estimating equation models were used to evaluate the effect of UA on cognitive function in all participants and those at different levels of hs-CRP (hs-CRP <3 mg/L or ≥3 mg/L). Results: Among non-hyperuricemia adults (mean age: 58.08, 49.59% males) for a median of 7 years follow-up, participants with higher levels of UA had better cognitive function score compared to those with lower UA levels (β: 0.09, 95% confidence interval [CI]: 0.01–0.17, p = 0.023). And this association was significant under low-grade inflammation levels condition (β:0.10, 95% CI: 0.10–0.19, p = 0.024), but not in high-grade inflammation levels condition. Further, the cognitive function benefit of elevated UA existed only in people with persistent low-grade inflammation levels at a longitudinal perspective (β: 0.14, 95% CI: 0.01–0.27, p = 0.039). Conclusions: Elevated UA levels were associated with better cognitive function in non-hyperuricemia population, especially for those at low inflammation levels.
Research on fault detection and remote monitoring system of variable speed constant frequency wind turbine based on Internet of Things
Authors: Lu Qiuyu , Li Haibo , Zheng Jianping , Qin Jianru , Yang Yinguo , Li Li , Jiang Keteng
Published: December 2023

In order to study the operating characteristics of variable speed constant frequency wind turbine under different working conditions and the monitoring system of wind turbine. In this paper, the simulation model of each component system of wind turbine is established by MATLAB/Simulink module, and the influence law of different wind speed and ground fault types on the output power of wind turbine is studied. The active power of wind turbines under different short-circuit fault types is compared. At the same time, in order to realize real-time monitoring of wind turbine speed and output power, an online monitoring system for wind turbine operation based on industrial Internet of Things is proposed, and the composition and operation characteristics of this remote monitoring system are given. The practical application shows that the on-line monitoring system can accurately and remotely monitor the running status of the wind turbine and avoid the unstable running of the wind turbine. The research conclusions of this paper can provide reference for the design and construction of wind turbines and the operation of connecting to the power grid.
User trust and evaluation mechanism based on community classification calculation in opportunistic social networks
Authors: Huang Juan , Gou Fangfang , Wu Jia
Published: December 2023

With the development of Internet of Things technology, 5G communication has gradually entered people’s daily lives. The number of network users has also increased dramatically, and it has become the norm for the same user to enjoy the services provided by multiple network service providers and to complete the exchange and sharing of a large amount of information at the same time. However, the existing opportunistic social network routing is not sufficiently scalable in the face of large-scale network data. Moreover, only the transaction information of network users is used as the evaluation evidence, ignoring other information, which may lead to the wrong trust assessment of nodes. Based on this, this study proposes an algorithm called Trust and Evaluation Mechanism for Users Based on Opportunistic Social Network Community Classification Computation (TEMCC). Firstly, communication communities are established based on community classification computation to solve the problem of the explosive growth of network data. Then a trust mechanism based on the Bayesian model is established to identify and judge the trustworthiness of the recommended information between nodes. This approach ensures that more reliable nodes can be selected for interaction and complete data exchange. Through simulation experiments, the delivery rate of this scheme can reach 0.8, and the average end-to-end delay is only 190 ms.
Optimizing cloud resource allocation: A long short-term memory and DForest-based load balancing approach
Authors: Meera S. , Valarmathi K.
Published: December 2023

Load balancing is an element that must exist for a cloud server to function properly. Without it, there would be substantial lag and the server won’t be able to operate as intended. In a Cloud computing (CC) establishing, load balancing is the process of dividing workloads and computer resources. The distribution of assets from a data centre involves many different factors, including load balancing of workloads in cloud environment. To make best use each virtual machine’s (VM) capabilities, load balancing needs to be done in a way that ensures that all VMs have balanced loads. Both overloading and underloading are examples of load unbalance, and both of these types of load unbalance could be fixed by using techniques created especially for load balancing. The research that has been done on the subject have not attempted to take into account the factors that affect the problem of load unbalancing. Results indicate that the LSTM and DForest-based load balancing approach significantly improves cloud resource utilization, reduces response times, and minimizes the occurrence of overloading or underloading scenarios. To effectively design those programmes, it is essential to first understand the advantages and disadvantages of current methodologies before developing efficient AI-based load balancing programmes. Compared to existing method the proposed method is high accuracy 0.98, KNN accuracy is 0.97, SVM accuracy is 0.99, and DForest accuracy is 0.987.
RETRACTED: A stacked architecture-based fuzzy classifier with data position transformation using fuzzy cognitive maps
Authors: Yin Rui , Lu Wei , Yang Jianhua
Published: December 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Smart algorithmic solutions for audience service quality evaluation for large-scale sports-events through harnessing interval neutrosophic EDAS and CRITIC Technique
Authors: Xu Xuezhu
Published: December 2023

Sports events, as large-scale events that provide products and services, have received widespread attention for their economic benefits and influence. Event organizers expect to achieve high efficiency by providing high-quality products and services. The quality of competition products and services is mainly evaluated through the subjective feelings of the audience, and usually the audience’s evaluation of service quality is vague. Therefore, this article intends to establish an evaluation index system for the quality of spectator service in sports events, in order to provide a reasonable evaluation of the service products provided by sports event organizers. The audience service quality evaluation for large-scale sports-events is a MAGDM problems. Recently, the EDAS and CRITIC technique has been employed to cope with MAGDM issues. The interval neutrosophic sets (INSs) are employed as a tool for characterizing uncertain information during the audience service quality evaluation for large-scale sports-events. In this paper, the interval neutrosophic number EDAS (INN-EDAS) technique based on the Hamming distance and Euclid distance is founded to manage the MAGDM under INSs. The CRITIC technique is employed to obtain the weight information based on the Hamming distance and Euclid distance under INSs. Finally, a numerical case study for audience service quality evaluation for large-scale sports-events is employed to validate the proposed technique. The main contributions of this paper are proposed: (1) The INN-EDAS technique based on the Hamming distance and Euclid distance is founded to manage the MAGDM under INSs; (2) The CRITIC technique is employed to obtain the weight information based on the Hamming distance and Euclid distance under INSs; (3) a numerical case study for audience service quality evaluation for large-scale sports-events is employed to validate the proposed technique.
Gerontologia: o envelhecimento humano em 10 pontos - Textos Introdutórios UFSM
Authors: de Figueiredo Acosta Marco Aurelio
Published: December 2023

Este livro é um convite a pensarmos e a sabermos mais sobre esse processo que define nossas vidas e que, se visto à luz da ciência e da cultura, pode nos ajudar a amadurecer e a viver.
Criação Publicitária - Textos Introdutórios UFSM
Authors: Petermann Juliana
Published: December 2023

O conteúdo aqui apresentado resulta de mais de 16 anos de atuação da autora em sala de aula, ministrando a disciplina de Criação Publicitária na UFSM.
Sistemática e Taxonomia Vegetal - Textos Introdutórios UFSM
Authors: Bordignon Ceolin Guilherme
Published: December 2023

Este livro ensina a classificar e nomear espécies vegetais utilizando exemplos práticos e aplicações reais no dia a dia de diversas atividades que demandem conhecimento de plantas, tanto nas Ciências Rurais quanto em outras áreas de atuação.
Matemática Computacional com Python
Authors: M. Buriol Tiago
Published: December 2023

A matemática computacional é um ramo da matemática que faz uso da computação para buscar soluções de problemas aplicados, provenientes de diferentes áreas do conhecimento. Em ciências e engenharia, ela pode auxiliar nas diversas fases de um estudo e permitir a realização de experimentos numéricos e de processamento algébrico simbólico, inclusive na busca de uma solução analítica.
Book Forum on Ivan Kalmar's White but Not Quite: Central Europe's Illiberal Revolt
Authors: Kalmar Ivan , Kazharski Aliaksei , Krivonos Daria , Rudwick Stephanie , Scheiring Gábor
Published: December 2023

This book forum discusses Ivan Kalmar´s pivotal book on the position of “Central Europe” in the racialized hierarchies of “West”/“Europe” and their not-quite-white Others. The authors debate the main contributions and potential blind spots of the book and its key concepts. The concepts of racism and whiteness answer the not-so-new question on Central Europe and Europe's “East” anew: How come that the populations of and in this diverse region happen to repeatedly find themselves in the very same marginal position in European historical orders? This question has very contemporary manifestations; Europe's persistent East-West socio-economic and socio-cultural hierarchies, among others, co-produce the local populations' marginalized or marginalizing positioning vis-à-vis each other and the rest of Europe or the world. In this honest discussion, the authors chart new intellectual pathways for utilizing racism and whiteness to help us better understand this question and its many manifestations from within and outside the region.
Petrography and diagenesis of the Middle to Upper Jurassic succession from Sargelu section, northeastern Iraq
Authors: Rasool Rebwar H. , Ali Sarmad A. , Al-Juboury Ali I.
Published: December 2023

Petrographic and diagenetic analysis of the Middle-Upper Jurassic successions (Sargelu, Naokelekan, and Barsarin) formations and boundaries between them in the Sargelu area, Kurdistan region, N.E. Iraq was conducted based on the lithologic description, thin section analysis, and scanning electron microscopy. The study aims to define the petrographic components and diagenetic processes that affect the carbonate rocks of Jurassic succession in the studied section. Thirty-eight thin sections have been prepared, with five samples selected using the S.E.M. technique to reveal the petrographic components and diagenetic processes. The Jurassic succession is composed mainly of carbonates (limestone and dolostone) interbedded with shale units. Petrographically, the Sargelu, Naokelekan, and Barsarin formations are composed of skeletal grains (pelagic pelecypods, radiolaria,  calcispheres, planktonic and benthonic foraminifera such as miliolid, ostracods, bioclasts, and stromatolites) which are the most common, in addition, non-skeletal grains such as poloids, micritic groundmass, and recrystallized micro spars, Many diagenetic processes affected the studied carbonate rocks such as micritization, dolomitization compaction and stylolite formation, authigenic minerals (pyrite), cementation, neomorphism, dissolution and porosity formation as represented by moldic, vuggy, channel and fracture porosity.
ANALISIS PENGELOLAAN ARSIP DINAMIS AKTIF LAPORAN HASIL PEMERIKSAAN PADA INSPEKTORAT PROVINSI JAWA TENGAH
Authors: Andhika Rifky Fajar , Widyanti Dika Vivi
Published: December 2023

There is an intensity to the observation of this research to understand the management of the active dynamic archive of the Examination Results Report (LHP) at the Central Java Provincial Inspectorate and also the obstacles and solutions to such obstacles. As for the observations, the research is qualitatively descriptive and uses a method of data collection, documentation, and interviews. Observations show that LHP archive processing includes creation, maintenance, storage, and shrinkage. Creation processes include creation in the processing unit, recording in the archive unit, and scanning. LHP archives are stored in the archive unit room and also in the record center using a number storage system. The process of LHP shrinkage has not been completed. The obstacles faced are the lack of SDM, lack of storage space, insufficient security aspects of the record center, and also poor archival systems, according to Agus Sugiarto and Teguh Wahyono. The advice that can be given is to: 1) make the recruitment of archive experts; 2) repair the corrupted record center; 3) make the procurement of archive equipment; 4) improve the security aspects of the record center; and 5) make the process of narrowing strictly.
Penerapan Media Web Wordwall untuk Meningkatkan Hasil Belajar PAI Siswa di SMP Negeri 2 Langsa
Authors: Safitri Mutia , Nazliati  , Rasyid Muhammad Nuh
Published: December 2023

Wordwall web media is one of the varied learning media that displays text information, still or motion pictures, animations, sounds, and videos that are fun for students in the form of games/quiz.  This research is based on the fact that in PAI learning the teacher still has not maximized the use of media, so that the student learning process is sometimes less conducive.  The purpose of this study was to find out whether the application of this wordwall web media could improve PAI learning outcomes for students at SMP Negeri 2 Langsa.  This research is a Classroom Action Research (CAR) which consists of two cycles, the data is taken through data collection techniques in the form of data from observing student activities during the learning process using web wordwall media, student learning outcomes and also interviews.  The data that has been collected is then processed with qualitative data analysis.  The result of this research is that there is an increase in PAI learning outcomes through the application of web wordwall media at SMP Negeri 2 Langsa.  This can be seen from the achievement of students' KKM scores and the percentage that has increased in learning outcomes shown in the first cycle of 67% and an increase in the second cycle to 86%.  So the increase in student learning outcomes in learning wordwall web media is said to be successful.
USER EXPERIENCE ANALYSIS OF THE CANVA APPLICATION USING THE SYSTEM USABILITY SCALE (SUS) METHOD.
Authors: Hasanati Nida’ul , Nashikha Ainun
Published: December 2023

The Canva Design application has gained popularity among users seeking to design graphics and visual content. However, users face challenges such as difficulty finding features, slow performance, unclear user interface, and functional issues. This research aims to identify and analyze these problems through User Experience and System Usability Scale (SUS) analysis. The findings provide valuable insights to Canva's development team to address weaknesses and improve usability. This research serves as a foundation for enhancing the quality and user-friendliness of the Canva application to meet the evolving needs and expectations of users.
ANALYSIS OF USER RATINGS ON THE BUBBLE LYSN APPLICATION USING THE SYSTEM USABILITY SCALE (SUS) METHOD
Authors: Syarifatul Aen Irna , Catur Utami Meinarini
Published: December 2023

ABSTRACT

Artists from the agency. In 2020 Dear U launched a bubble feature that can send messages between fans and artists in the form of text, video, photos, or voice notes with a live broadcast system where these messages will reach users who subscribe and vote for the artist they like. This feature also has an attractive appearance with two-way communication where users can also reply to messages sent by the artist. So this feature allows users and artists to feel closer to each other. This study aims to analyze the usability of the bubble lysn application based on the user's experience.
USABILITY EVALUATION OF SATUSEHAT APPLICATION USING USABILITY TESTING METHOD
Authors: Rizki Saputra Faiz , Kumaladewi Nia
Published: December 2023

SatuSehat is an application created and developed by the government of the Republic of Indonesia with the aim of controlling and tracking the spread of Coronavirus Disease (Covid-19). SatuSehat application has a main feature, namely location tracking, which requires community participation as users to report each other's locations when they travel. This aims to track the location and history of contact with people with Covid-19. However, in its use and implementation, users face various problems such as slow and difficult to understand application responses, unclear information, and frequent application problems that suddenly close. This research was conducted to evaluate the usability value of the SatuSehat application. The research method used was the SUS method by giving a questionnaire consisting of 10 questions related to the SatuSehat application to 38 respondents in the initial study. Based on this research, 7 improvement recommendations were obtained which were then implemented in the SatuSehat application. The final result shows an average value of 61.7 (Grade D). After calculating the usability value of each respondent, the final result is 61.7 (Grade D).
Penerapan Elementor sebagai Perangkat Pengembangan Platform Pengawalan Rancangan Kerja PT. PVI
Authors: Ardiansah Irfan , Triokto Albert , Putri Selly Harnesa , Kastaman Roni , Pujianto Totok
Published: December 2023

In the pursuit of optimizing information systems and website development for PT. PVI (Renstra), an extensive analysis was conducted on the use of CMS WordPress supplemented with the Elementor add-on as the primary tool for website construction. This analysis sought to assess the feasibility and capabilities of Elementor basic in meeting Renstra's requirements. Various critical aspects were evaluated, including account creation, login and logout systems, as well as form display and integration. Elementor basic, while providing the convenience of a user-friendly drag-and-drop design interface, falls short of fully satisfying Renstra's needs. A significant challenge encountered was Elementor basic's inability to create a seamless account creation system integrated with login and logout features. This posed a hindrance for website users seeking to input data, as they were unable to smoothly implement login functionalities within Elementor basic. To address these challenges, several recommendations are proposed. Firstly, Renstra should consider upgrading to Elementor Pro, which offers an array of comprehensive features, including streamlined form integration and efficient account creation. Secondly, designing an efficient login system within Elementor Pro to enable users to effortlessly create accounts, log in, and access their work progress is paramount. Thirdly, meticulous attention should be given to integrating form submission and the Progress Bar to enable users to submit data effortlessly and view their progress directly on the website, eliminating the need for manual Progress Bar adjustments. Fourthly, leveraging Elementor Pro's additional design features can significantly enhance the website's overall appearance, ensuring it aligns with user requirements. Finally, Renstra should explore the development of supplementary features to enrich the user experience, such as enhanced work progress management, progress notifications for registered users, or more restricted access for specific users. Implementing these recommendations will enable PT. PVI to enhance the efficiency and effectiveness of their information system and website. This, in turn, will enable them to provide superior services to their users, enhance transparency in progress reporting, and ultimately achieve their goal of optimizing their corporate information system.
APLIKASI PEMESANAN JASA PERBAIKAN LAPTOP MENGGUNAKAN METODE AHP BERBASIS ANDROID
Authors: Anugrah Gagah Putra
Published: December 2023

Penelitian ini bertujuan untuk membantu pengguna perangkat elektronik seperti laptop yang mengalami kesulitan dalam menangani masalah perangkat mereka. Karena kurangnya pengetahuan tentang permasalahan laptop, pengguna seringkali harus mendatangi tempat service terdekat, yang dapat memakan waktu dan mengganggu efisiensi mereka. Melalui aplikasi ini, pengguna dapat menghemat waktu dengan memesan jasa perbaikan atau melakukan diagnosis awal masalah perangkat mereka secara online. Metode yang digunakan dalam penelitian ini adalah kualitatif dengan memanfaatkan metode AHP untuk melakukan diagnosis awal masalah. Data dari instansi terkait menjadi landasan untuk pengembangan sistem ini. Tools yang digunakan termasuk Unified Modeling Language (UML) untuk perancangan sistem. Sistem ini juga telah diuji menggunakan metode white box untuk memastikan fungsionalitasnya. Hasil dari penelitian ini adalah aplikasi sistem diagnosis awal masalah pada laptop yang menggunakan metode AHP, yang memungkinkan pengguna untuk mengetahui masalah yang dialami perangkat mereka, serta memudahkan teknisi dalam proses perbaikan.
RANCANGAN STRATEGI PENGEMBANGAN USAHA COFFEE SHOP MENGGUNAKAN METODE QUANTITATIVE STRATEGIC PLANNING MATRIX (QSPM) DAN BLUE OCEAN STRATEGY (BOS) DALAM UPAYA MEMPERTAHANKAN USAHA (STUDI KASUS: MEDIAN COFFEE AND EATERY)
Authors: Rambe Ibnu Arbie Natama , Ihsan Hamdy Muhammad , Kusumanto Ismu , Hartati Misra , Harpito Harpito
Published: December 2023

The increasing number of coffee shops in Pekanbaru city significantly makes Median Coffee and Eatery required to remain competitive by determining the right planning / strategy. In the last few months Median Coffee and Eatery has experienced a very significant decline in profits. This study aims to design alternative strategies by providing new innovations in developing and maintaining businesses using the Quantitative Strategic Planning Matrix (QSPM) and Blue Ocean Strategy (BOS) methods. Based on the results of calculations using the QSPM method, 7 alternative strategies were obtained, there are 3 priority strategies that have the highest TAS value, namely providing an attractive outdoor area (TAS 7.647), expanding indoor and parking areas (TAS 7.643), and optimizing promotional activities (TAS 7.559). This research is expected to be an evaluation and consideration for business owners so that Median Coffee and Eatery can increase sales.
A magyar tűzszerészet NATO-követelményeknek való megfeleltetése a lehetséges digitális technológiai fejlesztések mentén
Authors: Szalkay Dániel
Published: December 2023

A Zrínyi 2026 Honvédelmi és Haderőfejlesztési Programnak köszönhetően a Magyar Honvédség (MH) belépett a 21. századba. Az eddigi beszerzések és fejlesztések – amelyekbe beletartozik számos digitális újítás is – új szintre emelték hazánkat az Észak-atlanti Szerződés Szervezetén (NATO) belül. E tekintetben mindenképp érdemes megvizsgálni, hogy a jövőben a magyar tűzszerészet várható digitális technológiai fejlesztése milyen lehetőségeket tartogathat hazánknak, különösképpen a NATO tűzszerészeti követelményeinek való megfelelés terén.
Hydrological Aspects of the Low-water Period of 2022 on the Lowland Section of the Tisza River
Authors: Vizi Dávid Béla
Published: December 2023

Climate change poses more and more challenges to the water management. Future predictions show that the possibility of extreme drought events are increasing, especially the rolling drought phenomena have become critical when consecutive years of drought multiply the adverse effects of previous years. These new extreme hydrological situations need to be properly handled in water management, thus an additional task of the water management can be the fulfilment of the increasing water demands. The article provides a comprehensive picture of factors influencing the formation of water scarcity period. The water supply of the Hungarian Great Plain is ensured by the water supply systems established in the last century. Coordinated water management is important in similar situations. The author describes the hydrological characteristics of last year’s water shortage period and how its harmful effects could be reduced.
Nervus Musculocutaneus’un Oluşum Varyasyonları
Authors: ERTÜRK Hanife , ŞANLI Onur Can , ÖZTÜRK Kenan , KASTAMONİ Yadigar
Published: December 2023

Plexus brachialis’in fasciculus lateralis’inden ayrılan bir dal olan n. musculocutaneus’un oluşumu çeşitli varyasyonlar göstermektedir. Çalışmamızda n. musculocutaneus’un kök varyasyonlarının tespit edilmesi ve sınıflandırılması amaçlanmıştır. Çalışmamız yaşları 17-40 gebelik haftası yaşı arasında değişen, eksternal patolojisi ve anomalisi olmayan, 51 adet insan fetusu (25 erkek, 26 dişi)’na ait 102 üst ekstremite üzerinde gerçekleştirildi. Plexus brachialis, anatomik diseksiyon yöntemi ile ortaya çıkarıldı. Daha sonra, n. musculocutaneus’un varyasyonları belirlenerek sınıflandırıldı. Yaptığımız sınıflandırmada Tip 1 normal anatomik yapıyı ifade ederken tip 2A ve tip 2B’de n. musculocutaneus ile n. medianus arasında sırasıyla bir ve iki adet bağlantı dalı vardır. Tip 3’te radix lateralis nervi mediani ve radix medialis nervi mediani’nin birleşmesiyle ortak kök şeklinde oluşan n. musculocutaneus ve n. medianus belli bir mesafeden sonra ayrılmaktadır. Örneklerin %91,1’i (n=93) tip 1, %6,9’u (n=7) tip2A, %1’i (n=1) tip 2B ve %1’i (n=1) tip 3 olarak bulundu. Nervus musculocutaneus’un varyasyonlarının bilinmesi ve toplumsal prevalansın ortaya çıkarılması doğumsal plexus brachialis paralizisi, ateşli silah yaralanmaları, laserasyonlar, sinirin nörotizasyon amaçlı kullanımları ve post operatif komplikasyonların önlenmesi açısından önemlidir.
Os ecossistemas comunicacionais como estratégias para relação entre professores e alunos autistas
Authors: Bezerra Amanda Dal Santo , Ottenio Evellin Vitória Bezerra , Bonfim Cláudia Ramos de Souza , Dedoné Tiago Silvio
Published: December 2023

Este trabalho de pesquisa tem como objetivo tecer reflexões acerca do papel da ampliação da comunicação, em diversas manifestações e formas, como estratégia para a inclusão e formação dos alunos com Transtorno do Espectro Autista, um distúrbio do neurodesenvolvimento. Realizou-se um estudo exploratório, que utilizou por meio de pesquisa bibliográfica, com abordagem qualitativa, apresentando conceitos e legislações que dão aporte ao campo temático. Para tanto, usamos como o referencial teórico pautou-se em autores que retratam esta temática, como: Suplino (2005); Mello (2007); Cavaco (2014); Gauderer (1987); Tavares (2008), dentre outros. A questão norteadora consiste em indagar: a escola tem tido êxito na articulação de práticas e processos diferenciados possíveis para auxiliar, mediar e dinamizar os campos afirmativos de aprendizagens dos alunos autistas? Considera-se que, ao reconhecer o papel da ampliação de coeficientes comunicacionais abertos e democráticos no espaço escolar e a formação continuada dos educadores, pode-se fomentar constantes e exitosos caminhos para a inclusão e emancipação dos alunos com TEA.
ОСОБЛИВОСТІ АРХІТЕКТУРИ ПРОГРАМНОГО ЗАБЕЗПЕЧЕННЯ ДЛЯ ЗБОРУ ТА АНАЛІЗУ СТАТИСТИЧНОЇ ІНФОРМАЦІЇЇ В ГЛОБАЛЬНІЙ МЕРЕЖІ
Authors: КИРИЧЕНКО Оксана
Published: December 2023

Для вивчення структури та характеристики web-простору необхідно використовувати спеціалізоване програмне забезпечення. В даній роботі розглянуто особливості архітектури подібного програмного забезпечення та приділена особлива увага важливим аспектам його роботи, таким як: механізми навігації, стратегії сканування та обробка отриманих даних. У статті також розглянуто проблеми ефективності та масштабованості подібних рішень при обробці великої кількості веб-ресурсів. Розроблено програмне забезпечення, яке складається з кроулера та аналітичного модуля. Функціональним призначенням аналітичного модуля є проведення кластерного та статистичного аналізу великих об’ємів даних за допомогою різноманітних статистичних методів. Архітектура розробленого додатку відповідає останнім тенденціям у сфері програмного забезпечення, враховуючи сучасні вимоги та стандарти. За допомогою даного програмного продукту з використанням розробленого аналітичного модуля досліджені статистичні та кластерні характеристики різних сегментів веб-простору (українського – edu.ua, net.ua; польського сегменту – edu.pl та ізраїльського – ac.il).
Shipping, Tracking, And Returned Goods: The Determinants of Sustainable E-Commerce Supply Chain and Logistics Operation
Authors: Humairoh  , Mohammad Annas
Published: December 2023

The main objectives of the research were to analyze many factors affecting the sustainability distribution, supply chain and logistic operation among e-commerce organization in Indonesia. The establishments were picked up randomly representing main regional in Indonesia. Ten e-commerce establishments were participating in the survey. 215 respondents representing nine e-commerce establishments gave their respond related on how they organized the shipping, tracking, handling as well as the returned goods policy. The result showed that the determinants were significantly gave impact on users’ satisfaction as well as the intention to repeat the business with the establishments, since in particular circumstances those ecommerce establishment gave hands on others to organize the goods shipping and distribution, and share the cost, so efficiency were created at both sides’ logistics operation.
The Effect of Financial Literacy Level and Demographic Factors on Investment Interest in Satya Wacana Christian University Students
Authors: Febrynanda Trivena , Martono Samuel
Published: December 2023

The development of the financial sector growing very fast nowadays. This condition must be balanced by knowledge and ability in managing finances, including investments. Interest in investing is influenced by a lot of factors, and some of them are financial literacy and demographic factors (age, gender, faculty, GPA, and income). This research aims to identify the effect of financial literacy level and demographic factors on investment interest among Satya Wacana Christian University students in Salatiga. This research used quantitative methods that measured and analyzed related variables that have a cause-and-effect relationship with investment interest. The research data was obtained by distributing questionnaires to 362 students and analyzing them using multiple linear regression methods and SPSS 23 software. The results of this research show that financial literacy and demographic factors have a positive effect on student investment interest. Financial literacy showed a positive correlation, which proved that the higher the understanding of financial literacy, the higher the interest in investing. Demographic factors (age, gender, faculty, GPA, and income) also show influence on investment interest. From the results of this study, it is hoped that students will be more aware of the importance of knowledge about financial literacy so that they can increase their interest in investing.
Planetary health curriculum in higher education: Scoping review
Authors: Hamerski Trombetta Giovana , Soares Rech Rafaela , Tetelbom Stein Airton
Published: December 2023

Introduction: Human actions on this planet have caused numerous changes and negative impacts on society and the ecosystem. Thus, the field of Planetary Health emerged with the need to adopt approaches that reconcile natural and human systems. However, this field of study is still little recognized in the internal and external environments of the scientific community and society in general, especially in developing countries. Objective: The objective is to provide a comprehensive view of publications on the actions and scenarios of higher education regarding planetary health that can help in the formulation of teaching plans on planetary health. This article aims to review and describe variables such as curriculum, workload, and main methods and approaches used in higher education on planetary health. Methods: This is a scoping review based on the evaluation of studies that address teaching methods in undergraduate health courses. The study was conducted in July 2022, in the electronic databases, Scopus, PubMed, and EMBASE, by the identification, selection, mapping, and summary of the included studies were carried out. Results: The articles included indicate that there are few reports of experiences in countries of the Global South and such curricula are especially focused on medicine and nursing courses. Conclusion: Current and future health professionals are not yet prepared for the challenges they will face regarding planetary health. Thus, the need to include this theme in curricula is urgent and should be considered a priority in new curriculum proposals.
Examining the effect of removing banknotes and implementing Goods and Services Tax on access to healthcare in India
Authors: Ghosh Sourindra Mohan
Published: December 2023

This paper explores the effect of the banknote ban and GST, which were implemented within a span of 8 months in 2016-2017, on self-reported illnesses and healthcare consumption in India. The findings show that the increasing trend of self-reported illness from 1995-96 to 2014, reversed in 2017-2018. The reduction in healthcare consumption between 2014 and 2017-2018 is primarily within the private care sector rather than public care, indicating economic duress induced by the banknote ban and GST as its cause. The reduction in self-reported illness and healthcare consumption is more prolonged among the occupationally vulnerable. The reduction in reporting of illnesses, healthcare consumption, and out-of-pocket expenditure on health continued even after one-and-half years of the banknote ban; this may also have been exacerbated later by the implementation of GST. Data indicate that the condition of public healthcare deteriorated between 2014 to 2018. As a result, even though the weaker sections’ access to private healthcare diminished, they could not turn to public healthcare either, resulting in a reduction in overall healthcare consumption. The findings of this paper call for a robust, functioning, affordable public healthcare system in India for greater crisis resilience.
Pedagogy of Belonging: Pausing to be human in higher education
Authors: Lemon Narelle
Published: December 2023

Valuing care and self-care in higher education requires a conscious pause and rethinking of how we are together as educators and students. The pandemic caused various complexities, including changes in curriculum delivery, deadlines, and assessment modes, leading to feelings of overwhelm, anxiety, and change fatigue, which contributed to the emergence of panicgogy. This paper argues for the need to disrupt this way of being and experiencing the pandemic through valuing humanity and repositioning self-care and care by and for academics to inform their pedagogy. Presented is the narrative and the design story behind Pedagogy of Belonging (PoB), a systems informed framework that prioritizes relationships and humanizes teaching by placing students and educators at the center of curriculum and pedagogical decisions. PoB provides a pedagogical framework for progression throughout the teaching cycle. The paper suggests that PoB is a conscious pause, a contemplative practice that interrupts panicgogy, collective exhaustion, and disconnect in higher education. PoB repositions holistic education at the heart of what educators do, facilitating interconnectedness and encouraging a rethinking of care and self-care in higher education through the domain of belonging underpinned by relationships, engagement, and communication.
Inequalities in the reported impacts of COVID-19 on child health: A narrative review
Authors: Akingbade Oluwadamilare , Akinokun Rafiat Tolulope , Eniola Oluwadara , Marindoti Damilola Christiana , Ogunlowo Bose Cecilia , Alabi Peter Olorunyomi , Olubiyi Simeon Kayode
Published: December 2023

Background: The world battled with children’s needs during the pre-COVID-19 era, and their health and educational needs were amplified during the COVID-19 pandemic. This article highlights the reported impact of the pandemic on child health, the inequalities observed, the lessons learnt, and the way forward in the post-COVID era. Method: A narrative literature review was conducted. Articles from Google Scholar and PubMed were searched from 2015 upward. The reference lists of the included articles were also searched for more relevant studies. A descriptive analysis of the included studies was conducted to highlight the reported impact of the COVID-19 pandemic on child health. Results: During the pandemic, every child was not affected equally. Inequalities in child physical, mental and social health were observed more in low and middle-income countries (LMICs). Similarly, child nutrition was adversely affected as school feeding programs were disrupted. Although the education of children was adversely affected globally, the impact was more in LMICs, where digital learning was not well-developed. This was also worse in insurgent countries with many out-of-school children. Conclusion: Efforts should be geared towards meeting children's physical, mental and social needs during pandemics, with a strong focus on children from developing countries. Similarly, the education of children should not be neglected. As efforts are directed towards meeting the needs of adults post-COVID, inequalities observed in child health during the pandemic should be addressed such that no child is left behind.