bluuebunny/crossref_metadata_2025 huggingface dataset:
OPTIMALISASI MEDIA PEMBELAJARAN BERBASIS AI UNTUK GURU SD NEGERI 1 KARANGANOM KLATEN
Authors: Prasetiyo Hendro Joko , Suradi Agustinus , Windarti Mariana
Published: August 2024

Community Service Activities in the form of Training on Learning Media Development Using Artificial Intelligence (AI) Based with Canva Software which will later be used to create Powerpoint, at SD 1 Negeri Karanganom, Klaten Regency aims to provide knowledge and technology regarding the use of the Canva application which will later be used for the learning process for teachers in making Powerpoint so that the appearance will be more interesting and interactive. The training participants are productive teachers who teach at SD 1 Negeri Karanganom, Klaten Regency.
This training activity begins with coordinating the PPM TEAM, registering participants and disseminating material. The socialization of the material begins with an introduction and installation of Canva software which will later be integrated to create Powerpoint material for creating learning media. Material socialization was carried out through lectures and discussions as well as practicums in creating PowerPoint learning media using the Canva application. With this program, teachers can easily design and arrange their own to make the learning process using Canva media, especially PowerPoint, more interesting for students because it is not boring.
The indicators for achieving targets and outcomes for SD Negeri 1 Karanganom Klaten teachers through Optimizing AI-Based Learning Media using Canva learning media are to improve the quality of teachers in creating AI-based learning media, especially using Canva learning media, being able to develop and create learning aids by making PowerPoint presentations so that the appearance will be more attractive, the effect of which will be to make it easier for students to understand the learning material better.
Postgraduate EFL Students’ Use of Hedging Strategies in Academic Writing
Authors: Tran The Phi , Le Ngoc An
Published: August 2024

In academic writing, hedging strategies help writers state uncertain scientific claims accurately, avoid personal responsibility and build better writer-reader relationships by addressing the need for deference and cooperation in gaining reader ratification. In Vietnam, little research investigates the hedging strategies employed by postgraduate students in academic writing. Therefore, the present study aims to investigate Vietnamese postgraduate students' use of hedging strategies in academic writing. The data were extracted from 30 written assignments in an academic writing course within a Master's program. The hedging strategies were analyzed and compared based on frequency, distribution, variety, and contextual use, employing Hyland's definition and taxonomy of hedging strategies. The findings revealed that postgraduate EFL students rely heavily on modal verbs, while nouns are the least favored. The findings suggest a need for further instructions and practice assignments on the use of hedging strategies in academic writing.
A Review Study on Role of Chatbot in Consumer Buying Process
Authors:   Assistant Professor, Department of Management Studies, Aravali College of Engineering and  Management, Faridabad, Goyal Ms. Megha , Sharma Ms. Neha ,   Assistant Professor, Department of Management Studies, B.S Anangpuria Institute of  Technology and Management, Faridabad
Published: August 2024

Chatbots play a pivotal role in social marketing by enhancing customer engagement and streamlining interactions. They provide instant, round-the-clock responses to customer inquiries, which significantly boosts satisfaction and retention. By personalizing conversations and delivering targeted content, chatbots help drive traffic and conversions, effectively nurturing leads and guiding them through the sales funnel. Additionally, they collect valuable data on customer preferences and behaviors, enabling businesses to refine their marketing strategies and improve overall user experience. Their ability to manage routine tasks and handle a large volume of interactions simultaneously ensures that brands remain accessible and responsive, making chatbots an indispensable tool in modern social marketing. The study focus on role chatbot on consumer buying behaviour. KEYWORDS: Chatbot, Consumer, Information collection, Buying Decision
A Comprehensive Deep Dive into Machine Learning: Types, Techniques, and Unravelling its Impact on Diverse Domains
Authors: Mohammed Ghada S.
Published: August 2024

This research aims to provide a comprehensive and in-depth review of the field of machine learning, focusing on its types and techniques, and clarifying the impact of this approach on many fields. Machine learning techniques are one of the most important pivotal tools that contribute to understanding and analyzing data more deeply and accurately. These techniques allow for improving efficiency and enhancing the learning ability of intelligent systems, making them essential in modern technological developments. The main objective of this research is to provide a classification that includes the types of machine learning and review the different techniques used in this field with the results of the impact of using these techniques as well as clarifying the benefits and disadvantages of these techniques while clarifying the impact of these techniques on different fields. The research is based on reviewing the strengths and weaknesses of these techniques and addressing the most important ways to deal with them. The research also includes studying the impact of machine learning on various fields, as well as the challenges and opportunities available to benefit from machine learning to obtain useful and comprehensive results on a global scale and discussing the future direction of machine learning techniques. This study, despite our entry into the crossroads of technological development, has demonstrated how deep learning techniques can be used in various fields to improve outcomes, highlight the importance of machine learning in enhancing intelligent technologies, and show how this learning can play a pivotal role in enhancing the learning and adaptive capabilities of intelligent systems and improving the performance of these systems to advance significantly in various fields.
Improving Lumbar Disc Bulging Detection in MRI Spinal Imaging: A Deep Learning Approach
Authors: Abed Mohammed A. , Al-Qaysi Z. T. , Suzani M. S
Published: August 2024

Lower back pain is a common ailment that affects many people resulting from various spinal diseases such as disk bulge. Disc bulging, which refers to the narrowing of the intervertebral disc within the spinal canal, can cause lower back pain and lead to lumbar spine stenosis. Deep learning algorithms based on artificial intelligence are indispensable in the field of medicine, enhancing the precision of medical image diagnosis significantly and the ability to process massive amounts of data which contributes to reducing the workload on radiologists and doctors. Therefore, Deep learning techniques have become a more helpful tool to overcome this problem. For this purpose, this study employed the YOLO-v7, YOLOv8m object detection technique to build a model to detect lumbar spine disc discords using MRI data from 291 individuals suffering from lower back pain. The image data utilized for training the model were divided into three segments: 70% for training, 20% for validation, and 10% for testing, and validate the model results according to evaluation metrics. shows the optimal model validated externally utilizing new lumbar spine MRI images and assessment with the radiologist. YOLOv8m achieved a mean average in precision (93.7%), precision (90.5%), recall (79.2%), and F1-score (88.6%), accuracy (89.8%). A deep learning model demonstrated similar agreement to subspecialist radiologists in detecting and classifying lumbar spine stenosis on lumbar spine MRI. By selecting the most suitable YOLO model, doctors can significantly enhance their ability to detect lumbar spine stenosis at an early stage and effectively mitigate potential negative consequences for their patients.
Using Zero-Watermarking Algorithm to Protect Arabic Text Documents
Authors: Abdulmaged Shahbaa Mohammed , Abdulmaged Nadia Mohammed , Farhan Aumama Mohammed
Published: August 2024

In today's digital age where powerful communication media such as the Internet allow for efficient information exchange, copyright protection and authentication of digital content has become an important issue.  Plain text is the most widely used means of exchanging information online, and it is important to verify the authenticity of the text.  Very limited techniques are available for watermarking and authentication of Arabic text.  This paper aims to develop a zero-watermark algorithm to protect the Arabic digital content from being tampering. 
The algorithm creates an accurate zero watermark based on the characteristics of the content of the Arabic text itself. The watermark is determined by the frequency of appearance of prepositions and their specific locations (في، عن، من، على) in the text. The extraction algorithm used for extracting zero watermark and compared with the created one to prove the authenticity of the Arabic text.  This method ensures that any change to the text will lead to a change in the extracted zero watermark, which will facilitate the detection process upon verification.  Experimental results demonstrate the effectiveness of the algorithm in discovering text tampering (addition, deletion, and rephrasing), tested on nine different text samples with various lengths and attacks, the proposed approach is robust in detecting modifications to the text, even if they are minor, compared to the existing approach.
Peran Organisasi Profesi Kedokteran dalam Menyelesaikan Sengketa Medis
Authors: Supadmo Darto , Prasetyo Handoyo
Published: August 2024

Sengketa medis antara dokter dan pasiennya terjadi dalam banyak kasus, dan dalam banyak kasus tersebut ada peranan penting Organisasi Profesi Kedokteran. Tujuan dalam penelitian ini adalah mengetahui peranan dari organisasi profesi Kedokteran dalam menyelesaikan sengketa medis sesuai dengan perundang-undangan yang berlaku di Indonesia dan untuk mengetahui kelebihan dan kekurangannya. Metode yang digunakan dalam penelitian ini adalah yuridis normatif. Hasil penelitian yang diperoleh adalah Ikatan Dokter Indonesia sebagai organisasi profesi dokter mempunyai peranan terhadap sengketa medis yaitu sebagai mediator sesuai dengan Surat Edaran Menteri Kesehatan No. 680 tahun 2007 merupakan pelaksanaan dari Pasal 29 UU No. 36 Tahun 2009 tentang Kesehatan, memilih saksi ahli sesuai dengan Surat Edaran Menteri Kesehatan tahun 2007 tentang penegakan hukum di bidang kesehatan dan Ikatan Dokter Indonesia akan membantu anggotanya yang dianggap bersalah apabila menurut Ikatan Dokter Indonesia dokter tersebut sudah melaksanakan prosedur sesuai dengan tugas profesinya. Kelebihan organisasi profesi dokter dalam sengketa medis adalah karena lembaga ini dihuni oleh orang-orang yang mengerti dunia medis sehingga dapat memahami permasalahan yang ada dalam dunia medis, sementara kelemahannya adalah tidak dapat melakukan peranan yang lebih lanjut yaitu mengadili dokter-dokter yang mempunyai masalah sengketa medis dengan pasiennya hal ini dikarenakan di Indonesia belum ada Pengadilan Khusus Medis.
Illuminating an uncatalogued micropalaeontological collection at the Lapworth Museum of Geology, University of Birmingham
Authors: Dixon J D , Meek Alexandra , Clatworthy Jon , Edgar Kirsty
Published: August 2024

The Lapworth Museum of Geology (LMoG) at the University of Birmingham (UoB) holds >300,000 specimens, including a sizable micropalaeontology collection. However, ~50% of the total LMoG collection is not digitised (e.g., there is no digital record) and thus inaccessible to external audiences. We contributed to the LMoG’s ongoing digitisation efforts by assessing the curation, historic and scientific significance of an uncatalogued assortment of “large” micropalaeontological specimens. We digitised and curated 219 specimens (comprising 307 parts) made up of hand specimens, containers and vials of loose fossils and sediment, and thin sections. The collection contained organisms from ten different phyla but was dominated by Larger Benthic Foraminifera (LBF). This dominance is reflected in the predominantly low-mid latitude geographic distribution of the collection, reflecting LBFs subtropical ecological preferences. The completeness of specimen metadata varied considerably with generally good geographic, chronostratigraphic, and taxonomic information at higher levels but poorer information with increasing detail and in relation to acquisition. Despite these limitations, we find that the studied collection was primarily assimilated for teaching purposes with donations from UoB staff and other specialist museums, and purchase from commercial dealers. There is little evidence for research on these specimens to date. Future work at the LMoG will digitise the collections and contribute to the ongoing efforts of international bodies to create large, open-access natural history datasets.
Stemcomputers en videoverbindingen: de ­mogelijkheden tot digitalisering van de stem­procedures in de Staten-Generaal
Authors: Heeringa G.
Published: August 2024

Stemcomputers en videoverbindingen: de mogelijkheden tot digitalisering van de stemprocedures in de Staten-Generaal

Stemmingen kunnen in een volksvertegenwoordiging op verschillende manieren vorm krijgen, zoals een procedure bij handopsteken, bij zitten en opstaan of een hoofdelijke stemprocedure. Deze stemprocedures van de Staten-Generaal kennen echter verschillende praktische en constitutionele bezwaren. In dit artikel staat daarom de vraag centraal in hoeverre digitalisering van de stemprocedures in de Staten-Generaal de huidige stemprocedures kan verbeteren, gelet op de praktische en constitutionele bezwaren die daar vanuit de vertegenwoordigende democratie tegen in zijn te brengen. Ter beantwoording daarvan zijn verschillende voorbeelden van digitale stemprocedures bekeken, zoals die van het Europees Parlement en van de Nederlandse decentrale volksvertegenwoordigingen. Hieruit volgen twee te combineren digitaliseringsmogelijkheden, namelijk elektronische stemprocedures en hybride stemprocedures. Een toetsing van deze twee procedures aan artikel 50 en 67 Grondwet toont aan dat een fysiek quorumvereiste moet blijven bestaan, maar dat tegelijkertijd stemcomputers en ook online stemmende Kamerleden via een beveiligde videoverbinding met geluid tot de mogelijkheden behoren. Hierbij gelden bovendien wel voorwaarden, zoals het gebruik van een stemlampje en het behoud van een mondelinge hoofdelijke stemprocedure.
Advancements in Bifacial Photovoltaics: A Review of Machine Learning Techniques for Enhanced Performance
Authors: MANASRAH Ahmad , MASOUD Mohammad , JARADAT Yousef , JANNOUD Ismael
Published: August 2024

Bifacial photovoltaics have gained a lot of popularity in recent years given their ability to utilize scattered and reflected solar radiation from both sides of the panel. Although the price of a Bifacial module is generally higher than conventional mono-photovoltaic panel, it compensates for the higher energy generation per unit area. Even though the potential of Bifacial photovoltaics market is promising, their applications are still limited compared to mono-photovoltaics. However, researchers have been experimenting with Bifacial photovoltaics to exploit their capabilities in different applications and working scenarios, especially with Artificial Intelligence (AI) models. This study will focus on reviewing different Machine Learning (ML) algorithms that have been exploited and modified in order to be used with Bifacial system applications in the last three years of literature. Moreover, most popular ML algorithms are presented and discussed with respect to different Bifacial system parameters. Finally, a conclusion of future prospects and the potential of ML in bifacial photovoltaic industry and applications is presented.
Conversational Agents: An Exploration into Chatbot Evolution, Architecture, and Important Techniques
Authors: NSAIF Wassem Saad , SALIH Huda Mohammed , SALEH Hassan Hadi , AL-NUAIM Bashar Talib
Published: August 2024

A chatbot is a computer software that mimics a user interaction. It is often referred to as a dialogue system or conversational agent. Developers and academics are increasingly focused in designing and implementing Chatbots. This in-depth look focuses on the ever-changing realm of chatbot technology, concentrating on chatbot evolution, architecture, and techniques that drive the most recent breakthroughs. We begin with a brief history and then follow the progress of Chatbots, emphasizing major milestones. The review focuses on the many architectures used in chatbot creation, ranging from classic rule-based systems to cuttingedge machine learning (ML) and natural language processing (NLP) approaches. We analyze the present status of chatbot technology and its breakthroughs, which include advances in NLP and interpersonal interactions. While demonstrating effective industry practices, we also discuss the architecture of software. Recommendations are made for academics, developers, and enterprises, identifying possible areas for future investigation and development in this quickly changing industry. The paper finishes by projecting future trends and developments in chatbot development.
On Mersenne Power GCD Matrices
Authors: AWAD Yahia , MGHAMES Ragheb , AMIN Karim
Published: August 2024

This paper explores the 𝑛 × 𝑛 Mersenne power GCD matrices defined on sets of positive integers, focusing on factor-closed and gcd-closed sets. By employing the form 𝑓(𝑡𝑖 ,𝑡𝑗) = 2 (𝑡𝑖 ,𝑡𝑗 ) − 1, we investigate the 𝑟 𝑡ℎ power Mersenne GCD matrix (𝑀𝑟 ) and provide comprehensive insights into its factorizations, determinants, reciprocals, and inverses. Building upon previous research, particularly Chun's work on power GCD matrices, we extend the analysis to Mersenne numbers, offering a thorough understanding of their properties. The study contributes to the broader understanding of arithmetic functions and their applications in matrix theory.
Utilization of Crushed Waste Glass as a Partial Replacement for Sand in Cement Mortar for a Sustainable Environment
Authors: HASSAN Filibin Ali , PEKRIOGLU- BALKIS Ayse
Published: August 2024

The disposal of non-biodegradable waste glass poses a serious environmental threat as it can cause soil, water, and air pollution when not properly discarded in landfills. The use of glass in construction has shown promising results in enhancing various properties of concrete and improving overall sustainability. This study investigated the mechanical properties of mixed colored glass, comprising green and brown hues, and clear glass in mortar, to explore the feasibility of using colored glass as a replacement for sand and to determine how the addition of color affects the mechanical properties of mortar. The incorporation of waste glass as a partial replacement for sand resulted in a 2.7% increase in flow table values when 5% of Mixed Colored Glass Sand (MCGS) was utilized in place of sand, as compared to the control mix (CM). Conversely, a 5.4% and 4.7% decrease in flow table values were observed when 15% of clear glass (CGS) and MCGS were used as a substitute for sand respectively. When 15% of MCGS and CGS were replaced with sand, compressive strength increased by 60% and 42.6% respectively, compared to the control mix, when 5% MCGS, 10% MCGS, 5 CGS, and 10% CGS were observed. After 28 days of curing, a 10.6% and 10% increase in strength was observed when 10% of MCGS and CGS were replaced. At 7 days, a 3.3% increase in flexural strength was found when 5% of MCGS was replaced with sand was observed. The fire resistance test showed reduced mass and compressive strength of specimens at different temperatures. No significant expansion of ASR was recorded throughout the test period. The use of waste glass as a substitute for sand has shown improvements in environmental sustainability and economics. When 10%WGS and 15%WGS were utilized, 20% and 30% of waste glass sand was replaced with sand, respectively. Incorporating waste glass into construction enhances the mechanical properties of concrete and promotes the conservation of natural resources and environmental sustainability. This study examined the economic advantages of replacing sand with waste glass and found that CM has the highest cost of 90.64 Tl. At replacement of 5%, 10%, and 15% MCGS showed 1.07%, 1.96%, and 2.95% savings compared to the control mix, respectively. Moreover, replacing 5%, and 10% of natural sand with clear glass sand could bring about savings of 1.91%%, and 3.63%, respectively. Replacing 15% CGS showed the highest savings of 5.45% compared to the control mix. The study compared the use of colored and clear glass as a partial replacement for sand and found that there were slight differences in the results, but overall they were similar.
Utilizing the eXtreme Gradient Boosting Algorithm for Artificial Intelligence-supported Learning Analytics Application
Authors: COSAR Mustafa
Published: August 2024

Recent technological advancements, including internet-based distance education and artificial intelligence-supported learning analytics, have significantly impacted the field of education. These advancements not only enhance the efficiency of education but also broaden access to learning while mitigating barriers to implementation. AI-supported learning analytics emerges as a pivotal tool for interpreting data gleaned from educational processes and stakeholders, thereby enhancing educational processes and outcomes. This tool streamlines the measurement, analysis, and evaluation of learning processes, encompassing a wide array of factors and parameters. Moreover, it contributes to the development of personalized and adaptive learning environments. In this study, a predictive model utilizing the XGBoost algorithm has been developed to analyze students' academic achievements. The model forecasts final exam grades based on various student characteristics, including age, participation rate, and exam scores. Evaluating the performance of the AI model involves metrics such as Mean Squared Error, Mean Absolute Error, and R² score. In findings indicate a strong prediction performance, with an R² score of 0.819. As a result of underscore the potential of AI-supported learning analytics as an effective tool for predicting and enhancing student academic performance.
Development of Mathematics Interactive E-Worksheet
Authors: SARI Riska Novia , ROSJANUARDI Rizky , HERMAN Tatang , ISHARYADI Ratri , BALKIST Pujia Siti
Published: August 2024

Technology integration has become essential in the rapidly evolving landscape of education of the 21st century. Moreover, the aftermath of the Covid-19 pandemic has accelerated the adoption of digital tools in learning. This article explores the development of interactive e-worksheets in mathematics education using the Wizer.me platform. In Indonesia, the Merdeka Belajar curriculum emphasises digital technology as a fundamental aspect of addressing accessibility, quality, and equality in education. The developed e-worksheets are designed to enhance the traditional worksheet experience by transforming it into an interactive, engaging, and contemporary format. The advantages include cost savings, environmental friendliness, and combining multimedia elements such as videos and animations to boost student motivation. The study investigates the necessity of digitally accessible learning activities, aligning with the demands of future educational needs. Focusing on fractions as a challenging topic for students, this study uses the 4D model (Define, Design, Develop, Disseminate) as the Research and Development (R&D) model. The Wizer.me platform is employed for its user-friendly interface, varied question types, and integrated Google Classroom. The validation process involves expert judgment from mathematics educators and practical testing among junior high school students. The findings indicate that the developed interactive e-worksheets are valid and practical, receiving positive student responses during the limited trial. The article reveals the importance of innovative learning materials and suggests that teachers leverage technology to create engaging and accessible content, fostering a more dynamic learning environment. The study recommends the widespread adoption of interactive e-worksheets to enhance students' motivation and comprehension, particularly in challenging mathematical concepts like fractions.
Performance Comparison of AI Platforms in Solving Computer Science Problems
Authors: KARACALI Huseyin , CEBEL Efecan , DONUM Nevzat
Published: August 2024

In the rapidly evolving landscape of artificial intelligence (AI), its significance and accelerated development are undeniable. AI has emerged as a cornerstone technology with profound implications across various domains, driving innovation and reshaping the way we approach complex problems. Particularly, the utilization of AI in coding tasks has garnered substantial attention, given its potential to streamline development processes and enhance the efficiency of software engineering practices. Against this backdrop, this paper presents a detailed comparative analysis of four different AI platforms, namely ChatGPT, Gemini, Blackbox, and Microsoft Copilot, in addressing key challenges within the realm of computer science, spanning natural language processing, image processing, and cybersecurity. The study focuses on leveraging the C++ programming language to develop solutions for these multifaceted problems across the aforementioned platforms. Each platform's outputs are meticulously evaluated on various parameters including accuracy, execution time, code size, and time complexity to provide a comprehensive understanding of their performance. Furthermore, an iterative optimization methodology is employed, entailing three rounds of refinement for the code produced by each platform, with the resultant outputs subjected to comparative analysis in each iteration. Through this rigorous approach, the paper not only elucidates the efficacy of different AI platforms in addressing diverse computational challenges but also underscores the iterative enhancement process on AI platforms for refining code quality and performance across multiple domains within computer science.
Vehicle Autonomous Driving System
Authors: AL - SMADI Adnan , AL - ESSA Sara , MOMANI Shaima , BANI - SALAMEH Haneen
Published: August 2024

Autonomous vehicles or self-driving cars industry and technology have played an important role in research industry and automotive industry. Autonomous cars are those vehicles have the ability to sense there surrounding and navigate and drive themselves on roads through traffic without human interventions. In other words, they can move from one location to another one without human interaction. In this paper, an autonomous vehicle system prototype is proposed. The vehicle is able to sense its surrounding and keep going on the road on its own through traffic and other barriers such as people and traffic lights. That is, the vehicles are able to drive and detect the road signals and take decision accordingly, whether to continue or to make a turn. The proposed system uses raspberry pi microcontroller and ultrasonic sensors to detect any object, obstacle, or pedestrians in front of the vehicle and to measure the distance. In addition, a raspberry pi camera is connected to the raspberry pi to continuously take pictures of the road. These pictures will be analyzed by the raspberry pi microcontroller. The vehicle is able to reach its destination safely. A self-driving car prototype has been designed and implemented. The porotype autonomous vehicle system was tested and performed as expected.
Oxidation of Sintered Refractory Alloy (Ni3Al)
Authors: HALEM Nacer , HALEM Zohra , HALEM Ouardia , PETOT - ERVAS Georgette
Published: August 2024

Ni3Al is a superalloy which is of particular interest at high temperatures due to its high resistance to oxidation with the formation of a protective oxide layer that performs better than NiO and Cr2O3. Among the factors likely to affect the reaction mechanism and modification of the oxidation kinetics, the surface state appears to be a very important parameter. In the case of sintered materials, the surface condition will be linked to the porosity of the material and therefore to densification. This work essentially has two parts. The first consists of developing Ni3Al sinters intended for oxidation, studying the densification mechanisms and bringing together the results obtained by dilatometry at variable temperature and by differential thermal analysis which made it possible to demonstrate sintering in a reactive liquid phase extremely fast SHS type, with instantaneous formation of the Ni3Al phase. The second part is devoted to the isothermal oxidation between 1100 and 1350°C of cubic-shaped sinters (4mm edge) under a flow of oxygen for 24 hours. The shape of the parabolic curves is correlated with morphological and microstructural observations to deduce the diffusional kinetic regime which controls the speed of the reaction. On the other hand, these observations highlighted a very strong adhesion due to the indentations of the Al2O3 oxide in the metal at the oxide/metal interface. Various techniques (Density – XRD – SEM and Microanalysis) to characterize the sinters and the oxidation products complete our study.
Experimental Investigations on the Fabrication of Low Alloy Steels Using Wire Arc Additive Method
Authors: CHAUHAN Pruthviraj , VAGHASIA Vatsal , CHAUDHARI Rakesh , VORA Jay
Published: August 2024

Wire arc additive manufacturing (WAAM) has emerged as a transformational technology with the capacity to redefine the landscape of alloy steel component production. This method utilizes an electric arc to selectively fuse a continuous wire feed, progressively constructing intricate metal structures layer by layer. GMAW-based WAAM adaptability enables the creation of complex geometries and customized part designs, making it applicable across diverse industrial sectors. This paper investigates WAAM-specific applications in alloy steel fabrication, focusing on key process variables such as voltage, travel speed, and Gas mixture ratio. The experimental parameters for a single layer are examined with voltage ranging from 20 to 22, travel speed from 23, 25, and 27 mm/min, and Gas mixture ratio 1,5,9 mm/min. It utilizes materials like TM B9, a 1.2- diameter flux-cored wire. Additionally, the study considers the nominal composition (wt-%) of 9 Chromium, and 1 Molybdenum, with small additions of nitrogen and niobium to improve the creep resistance. Furthermore, the final findings of the study suggest that the optimal combination of process variables for achieving highquality weld beads in WAAM of alloy steel components can be determined through Response Surface Methodology (RSM). RSM is a statistical method for analysing and modeling the relationship between the response of interest and some independent variables. In this case, the response variable would be the quality of the weld bead, which encompasses factors such as bead geometry, integrity, and absence of defects.
Application of Methodology for Defining the Adjoining Lands and Flooding River Strips in Bulgaria in a GIS Environment Upon Bridge Facility Designing
Authors: KIRILOVA Silvia , RADEVA Kameliya
Published: August 2024

The "Methodology for defining the adjoining lands and flooding rivers stripes in Bulgaria” (MALFARS) has been developed in 2012 based on the requirements of the EU Water Framework Directive 2000/60. In this article we investigated another aspect of MALFARS application. We have reviewed the possibilities for methodology application upon designing of bridge facilities within the researched river section. The study presents the application of the Methodology for the designing of a bridge facility over the Dzherman River upon the maximum dimensional water quantities calculated for the studied section of the river. We have used GIS instruments to analyze and evaluate the results obtained for the parameters of the maximum runoff and the conductivity of the river section. The results present the defined flooding zones of the adjoining river areas/stripes, good conductivity of the road facility, hydraulic and geometric characteristics of the runoff in the investigated river section in cases of high water levels
Influence of Digital Marketing Techniques on Consumer Behavior for Mobile Services
Authors: KHANFAR Iyad
Published: August 2024

The aim of this research was to explore how different digital marketing techniques, such as video marketing, internet advertising, email marketing, and SEO, impact consumer behavior regarding mobile services offered by Zain Telecom in Amman, Jordan. A simple random survey method was employed, with 445 questionnaires distributed to Zain Telecom customers in Amman. After excluding incomplete responses, 405 completed questionnaires were analyzed using multiple regression, descriptive analysis, and reliability testing. The findings indicate that all the independent variables significantly influence consumer behavior in purchasing mobile services, with email marketing exhibiting the strongest impact. Consequently, the study suggests an increased investment in email marketing techniques
Zer ezaugarri eduki behar dituzte nerabeen hizkuntza-ahalduntzean laguntzeko egitasmoek?
Authors: Artetxe Mendizabal Jon Pello , Artetxe Mendizabal Iker , Eizmendi Arsuaga Iñaki , Huegun Burgos Asier
Published: August 2024

Nerabeen hizkuntza-ahalduntzean nola eragin da artikulu honen galdera eragilea. Horri
argi-izpi batzuk emate aldera, Lasarte-Orian garatzen ari den Ele-meleka egitasmoaren azterketaren
emaitzak agertzen dituzte egileek1. Egitasmoaren ezaugarriak, oinarri teorikoak eta testuingurua
azaltzen dira lehen-lehenik, ondoren ikerketaren diseinu metodologikoa. Bertan, ikuspegi kualitatiboaz,
talde-eztabaidak egituratu dira egitasmoaren partaideen iritziak eta hautemateak biltzeko. Emaitzen
ataletan, egitasmoaren beraren indarguneak eta ahuleziaz jarduten dute egileek; eta ondorioetan etorkizunerako
hainbat lan-ildo proposatzen dituzte. • Hitz gakoak: hizkuntza-ahalduntzea, nerabeak, hizkuntza-
mudantza, euskararen erabilera.
Desafios na construção de uma cadeia de fornecimento de energia a partir de resíduos sólidos urbanos: o papel dos empreendedores institucionais
Authors: Corrêa Adely Ribeiro Meira , Abreu Mônica Cavalcanti Sá de , Figueirêdo Junior Hugo Santana de
Published: August 2024

Objetivo: Avaliar o papel dos empreendedores institucionais na construção de uma cadeia de fornecimento de energia a partir de resíduos sólidos urbanos.
Metodologia: As unidades de análise da pesquisa são os empreendedores institucionais envolvidos na construção de uma cadeia de fornecimento de energia no Aterro Sanitário Municipal Oeste de Caucaia, localizado no estado do Ceará. Trata-se de um estudo de caso, com abordagem qualitativa, realizado por meio de entrevistas semiestruturadas. A técnica de pesquisa de path dependence foi adotada para a construção da trajetória histórica e análise de conteúdo.
Originalidade/Relevância: A cadeia investigada se constituiu a partir de uma parceria envolvendo o governo do estado do Ceará, prefeituras municipais e empresas privadas, para a instalação da maior usina do país com capacidade de injetar biogás proveniente da digestão anaeróbica de resíduos sólidos urbanos na rede de distribuição de gás natural da Companhia de Gás do Ceará – CEGÁS.
Resultados: Evidenciou-se que empreendedores institucionais podem protagonizar a configuração de um novo arranjo institucional por meio do desenvolvimento de habilidades políticas, sociais e técnicas. Dentre as estratégias identificadas, a seleção de parceiros baseada nas relações de confiança pré-existentes e a atuação dos atores governamentais são fatores críticos para o sucesso da cadeia de fornecimento de energia a partir de resíduos sólidos urbanos.
Contribuições: O estudo contribui para a compreensão da atuação de empreendedores institucionais no rearranjo da cadeia de fornecimento de energia. O trabalho oferece um diagnóstico das habilidades políticas, sociais e técnicas, e contribui para a construção de cidades sustentáveis e eficientes na gestão de resíduos e atentas aos impactos ambientais e sociais do crescimento urbano desordenado.
Ações pedagógicas e administrativas preparatórias para as avaliações do SARESP: perspectivas dos diretores de escolas públicas paulistas
Authors: Gesqui Luiz Carlos , Rodrigues Marselha Aparecida de Paula
Published: August 2024

As avaliações do Sistema de Avaliação e Rendimento Escolar do Estado de São Paulo (Saresp) são realizadas periodicamente em toda a rede pública paulista de ensino regular com a finalidade de produzir um indicador de qualidade de ensino que preste apoio a gestores para o monitoramento das políticas educacionais. A comunidade escolar e, principalmente, a Direção Escolar deve acompanhar tal indicador e estabelecer ações para sua ampliação nos anos seguintes. Este artigo apresenta resultados de uma pesquisa qualitativa (Rodrigues, 2023) que teve como objetivo central mapear e analisar as ações   pedagógicas e administrativas desenvolvidas e manifestadas pelos Diretores das escolas da referida rede em Araraquara – SP, sob a governança da Diretoria de Ensino Região de Araraquara (DEARA) como preparatórias para as avaliações do Saresp e cumprimento das metas do Índice de Desenvolvimento da Educação do Estado de São Paulo (Idesp) anualmente estabelecidas pela Secretaria da Educação do Estado de São Paulo (Seduc-SP), como hipótese central, que essas escolas desenvolvem tais ações, uma vez que sentem-se pressionadas pelos órgãos governamentais a elevarem os resultados dos indicadores nas avaliações externas. Os principais referenciais de análise foram os conceitos de accountability (Afonso, 2009; 2012) e de qualidade negociada (Freitas, 2007). Dentre seus resultados este artigo destaca os referentes à formação acadêmica e atuação profissional do grupo de respondentes e ao agrupamento que capta informações quanto as estratégias utilizadas na preparação da escola para as avaliações do Saresp.
Mente sã: uma revisão dos alcances e resultados da política nacional de saúde mental no Brasil
Authors: Silva Luciano Cicero da , Malta Arlete do Monte Massela , Félix Ana Carolina Botto Barros , Pereira Edylene Maria dos Santos , Luciano Elizângela Aparecida , Maciel Emmauelle Silveira , Lima Fabiano de , Abuhid Marcela Drumond , Silva Regirleide Pereira da , Palmeira Sebastiana Pessoal , Almeida Sheila Karynna Macedo de , Nobre Sheilla Érika Ferro Ramalho , Carvalho Tânia Maria de
Published: August 2024

Este estudo revisou a literatura sobre a Política Nacional de Saúde Mental no Brasil, analisando a evolução histórica, o marco legal e referencial, e os principais desafios enfrentados. A implementação da Reforma Psiquiátrica e da Rede de Atenção Psicossocial (RAPS) foi destacada como um avanço significativo na promoção de um cuidado mais humanizado e inclusivo. A Lei Paulo Delgado (Lei nº 10.216/2001) foi identificada como um marco crucial, promovendo a desinstitucionalização e a criação de serviços comunitários. No entanto, os retrocessos observados a partir de 2016, incluindo a redução de investimentos e o retorno ao modelo hospitalocêntrico, foram destacados como desafios significativos. A retomada dos princípios da Reforma Psiquiátrica em 2023 representa uma oportunidade para corrigir esses retrocessos e fortalecer a RAPS. Os resultados sugerem a necessidade de monitoramento contínuo e de estudos futuros para avaliar a eficácia das políticas implementadas e explorar estratégias para promover a inclusão social e combater a estigmatização.
Responsabilidade Civil por danos causados no oferecimento de dietas e treinos por ferramentas de Inteligência Artificial do modelo chatbot
Authors: Sales Lívia Rocha , Alves Fabrício Germano
Published: August 2024

Este trabalho examina a responsabilidade civil na utilização de ferramentas de Inteligência Artificial do modelo chatbot que oferecem programas de treinamentos e dietas nutricionais, à luz do Código de Defesa do Consumidor e das disposições correlatas. A relevância do tema reside no crescente uso dos chatbots e nos riscos à saúde associados às suas orientações. O objetivo do estudo é analisar se há configuração da relação jurídica de consumo no uso da ferramenta, bem como o regime de responsabilidade civil aplicável na hipótese de danos causados aos usuários. A metodologia empregada consiste em método hipotético-dedutivo, abordagem qualitativa, com pesquisa bibliográfica e descritiva a partir de doutrina, legislação e artigos científicos. Conclui-se que existe uma relação jurídica de consumo entre o usuário e a empresa fornecedora do chatbot. Ademais, em caso de dano ao usuário, a responsabilidade civil do fornecedor é objetiva, caracterizando-se como obrigação solidária, sendo a pessoa jurídica responsável por eventuais danos.
Soroprevalência de Anticorpos contra Leptospira em Cães de Pelotas, Sul do Brasil
Authors: Dell’Osbel Francieli , Vasconcellos Flávia Aleixo , Soares Karolina Silva , Gomes Júlia Mendonça , Sanzo Gabriela Ladeira , Cunha Rodrigo Casquero , Duval Eduarda Hallal , Silva Éverton Fagonde da
Published: August 2024

Uma zoonose mundial, a leptospirose é causada por espiroquetas patogênicas do gênero Leptospira. Ratos atuam como reservatórios, geralmente assintomáticos, abrigando a espiroqueta em seus túbulos renais. Animais domésticos, como cães, servem como portadores, excretando Leptospira na urina de forma intermitente ou contínua, contaminando o ambiente. O método mais utilizado para diagnosticar a leptospirose é o MAT, considerado o teste padrão-ouro. Neste estudo, foram utilizadas 240 amostras de soro de cães. Foram fornecidas informações sobre os animais, incluindo sexo, 151 fêmeas e 89 machos, idade, raça e área de residência, indicando que todos os animais eram domiciliados. Do total de soros, 56 testaram positivo no MAT com um título igual ou superior a 1:100. Entre os sorovares mais prevalentes, Canicola com 51,7% das reações, seguido por Grippotyphosa com 46,4% e Icterohaemorrhagiae com 41,07%. Os sorovares restantes representaram 21,4% das reações combinadas. Quanto à classificação por gênero, dos 56 soros reativos, 37 pertenciam a fêmeas e 19 a machos. Dada a sua condição de zoonose, a preocupação contínua com a transmissão e, especialmente, a prevenção da leptospirose em cães é imperativa para evitar sua disseminação em centros urbanos e áreas sujeitas a inundações, como Pelotas.
Detecção de DNA de Leptospira spp. na urina de bovinos de corte assintomáticos abatidos no extremo sul do Brasil
Authors: Mazza Gustavo Afra , Dell’Osbel Francieli , Martins Kauê Rodriguez , Cunha Rodrigo Casquero , Duval Eduarda Hallal , Vasconcellos Flávia Aleixo , Silva Éverton Fagonde da
Published: August 2024

A leptospirose bovina é uma doença infecciosa zoonótica mundial e é considerada endêmica no Brasil. É uma das doenças reprodutivas mais importantes nos bovinos. O teste de aglutinação microscópica (MAT) é o método de diagnóstico mais comumente usado para leptospirose, mas é inadequado para detectar o status de portador individual em bovinos. Este estudo teve como objetivo realizar uma reação em cadeia da polimerase (PCR) em urina para detectar a infecção leptospiral em bovinos assintomáticos abatidos em Pelotas, RS, Brasil. Amostras de urina foram coletadas de 123 animais no momento da evisceração por punção vesical direta e transportadas para o laboratório para análise por PCR. A PCR demonstrou que 23 de 123 animais (18,7%) testaram positivo para pelo menos um dos alvos (Lipl32 e 16S RNA) e foram considerados portadores de Leptospira. Este trabalho revela importantes insights no contexto de Saúde Única, indicando que bovinos abatidos em Pelotas podem ser uma fonte potencial de leptospirose para humanos, animais e o meio ambiente. Além disso, o formato de PCR empregado aqui pode ser utilizado para a detecção de DNA leptospiral em bovinos de corte assintomáticos em frigoríficos.
Comércio e consumo de quelônios no município de Juruá, Amazonas
Authors: Oliveira Joabe de , Liebl Ariany Rabello da Silva , Nery Fernanda Victoria , Paiva Antônia Jaqueline Vitor de , Garcês Lucas Maia , Oliveira Vinícius Martins de , Oliveira Adriano Teixeira de
Published: August 2024

A pesquisa objetivou caracterizar o comércio e consumo de quelônios em Juruá, Amazonas, Brasil. Cerca de 70% dos entrevistados afirmaram que consomem quelônios de 1 a 3 vezes ao ano, sendo adquiridos por meio da comercialização na própria cidade, e todos afirmaram que consomem quelônios no período de seca dos rios. As espécies de quelônios comercializadas e consumidas no município de Juruá, Amazonas, foram o tracajá, e iaçá e a tartaruga. Em relação à preferência dos moradores locais por quelônios as espécies mais apreciadas são a carne do tracajá (76%) e os ovos da iaçá (60%), entretanto, a carne da iaçá (50%) e os ovos de tracajá (60%) são os mais consumidos. O período crítico para a conservação dos quelônios do baixo rio Juruá, Amazonas, é na época de seca, pois, é onde se observa a prática de comercialização de quelônios, principalmente das espécies iaçá e tracajá, provavelmente por conta do preço ser mais acessível à população juruaense.
Análise comparativa de sal rosa do Himalaia via fluorescência de raios x
Authors: Ishigooka Matheus Yudi , Borges José Flávio Marcelino , Souza Eder Carlos Ferreira de , Cintho Osvaldo Mitsuyuki
Published: August 2024

O sal rosa do Himalaia é um produto que vem ganhando notoriedade no mercado consumidor, devido ao alegado menor teor de sódio e as suas possíveis qualidades nutracêuticas associadas aos minerais secundários presentes. Entretanto, existem poucas evidências científicas concretas sobre essas qualidades e as pesquisas sobre esse produto são escassas. Dessa forma, o trabalho em questão tem como objetivo analisar a composição mineral do sal rosa do Himalaia de diferentes marcas comerciais pelo método de espectroscopia de fluorescência de raios X, e avaliar como os minerais presentes impactam na saúde humana. Além disso, aplicou-se as técnicas de espectroscopia de reflectância difusa na região do ultravioleta-visível (ERDUV-Vis – colorimetria) e microscopia eletrônica de varredura (MEV) acoplada com Espectroscopia de Energia Dispersiva (EDS) como ferramentas complementares no entendimento da natureza das amostras. Foi observado uma diferença significativa nas concentrações de minerais entre as diversas marcas comerciais de sal rosa, assim como diferença de resíduo sólido das amostras tratadas, apontando para possível adulteração de alguns produtos.
Impacto do grupo reflexivo de homens nos juizados de violência doméstica e familiar contra a mulher da comarca de Natal/RN: um estudo unificado
Authors: Silva Lara Moreira Brito da , Alves Fábio Wellington Ataíde
Published: August 2024

Esta pesquisa investiga o atendimento aos homens autores de violência conforme estabelecido na Lei 11.340/2006, pelos Juizados de Violência Doméstica e Familiar contra a Mulher da Comarca de Natal/RN. O objetivo principal deste estudo foi analisar a realidade, os desafios e as possibilidades que o grupo reflexivo oferece aos seus participantes. O local de pesquisa foi o Grupo Reflexivo Unificado dos Juizados de Violência Doméstica da cidade do Natal, com sede no Fórum Miguel Seabra Fagundes. A coleta de dados ocorreu por meio de uma análise documental de materiais referentes ao período de janeiro de 2023 a maio de 2024, disponibilizados pelos servidores responsáveis pela atuação e estruturação atual do grupo, sem a observância de dados sensíveis. O artigo propõe investigar o impacto do Grupo Reflexivo de Homens nos Juizados de Violência Doméstica e Familiar contra a Mulher da Comarca de Natal/RN, avaliando como esses programas podem melhorar as respostas judicial e social, oferecendo insights para políticas públicas mais eficazes nessa área.