bluuebunny/crossref_metadata_2025 huggingface dataset:
Reviewing the role of AI in fraud detection and prevention in financial services
Authors: Olubusola Odeyemi  , Noluthando Zamanjomane Mhlongo  , Ekene Ezinwa Nwankwo  , Oluwatobi Timothy Soyombo
Published: February 2024

This review explores the pivotal role of Artificial Intelligence (AI) in revolutionizing fraud detection and prevention within the realm of financial services. As financial crimes become increasingly sophisticated, traditional methods of detection fall short, necessitating the integration of advanced technologies. AI emerges as a transformative force, employing machine learning algorithms, predictive analytics, and anomaly detection to fortify the defenses against fraudulent activities. The review provides an in-depth examination of the historical context, tracing the evolution of fraud detection from manual methods to the contemporary AI-driven approaches. It delves into the diverse AI models utilized in fraud prevention, including supervised and unsupervised learning, deep learning, and natural language processing. The nuanced analysis encompasses the effectiveness of AI in identifying intricate patterns indicative of fraudulent behavior, demonstrating its superiority in discerning anomalies within vast and dynamic datasets. Moreover, the review elucidates the real-world implications of AI in fraud detection, spotlighting instances where the technology has successfully thwarted fraudulent schemes. The ethical considerations inherent in AI-driven fraud prevention are also scrutinized, emphasizing the importance of responsible and transparent practices to mitigate biases and ensure fairness in decision-making processes. As the financial landscape navigates an era of digital transformation, the review sheds light on the future trends and innovations in AI-driven fraud detection. Anticipated developments include the integration of Explainable AI (XAI), federated learning, and continuous adaptation to emerging threats. The discussion extends to the collaborative efforts between financial institutions, regulatory bodies, and technology providers to create a robust ecosystem capable of staying ahead of evolving fraudulent tactics. In conclusion, this review encapsulates the dynamic landscape of AI in fraud detection and prevention within financial services. The analysis underscores the transformative impact of AI, not only in bolstering security measures but also in fostering a proactive and adaptive approach to counter the ever-evolving nature of financial fraud. The synthesis of historical perspectives, current applications, and future trajectories provides a comprehensive understanding of how AI is reshaping the paradigm of fraud detection in the financial domain.
Blockchain in asset management: An extensive review of opportunities and challenges
Authors: Funmilola Olatundun Olatoye  , Oluwafunmi Adijat Elufioye  , Chinwe Chinazo Okoye  , Ekene Ezinwa Nwankwo  , James Olakunle Oladapo
Published: February 2024

Blockchain technology has emerged as a transformative force within the financial sector, particularly in asset management. This paper provides a comprehensive review of the opportunities and challenges associated with integrating blockchain in asset management practices. The opportunities presented by blockchain in asset management are multifaceted. The decentralized and immutable nature of blockchain enables increased transparency and security in the tracking and transfer of assets. Smart contracts, a key feature of blockchain, automate and streamline various processes, reducing operational costs and minimizing the risk of errors. This technology also facilitates real-time settlement and enhances liquidity, contributing to increased efficiency in asset management workflows. However, along with these opportunities come substantial challenges. Regulatory uncertainties, interoperability issues, and the need for industry-wide standards are significant hurdles that the asset management sector must overcome to fully harness the potential of blockchain. Security concerns related to the custody and protection of digital assets, as well as the scalability of blockchain networks, also demand careful consideration. Moreover, the integration of blockchain in asset management necessitates a paradigm shift in organizational structures and industry practices. Stakeholders must adapt to new ways of managing and transferring assets, embracing the cultural and technological changes inherent in blockchain adoption. Education and collaboration among industry participants are crucial for navigating the complexities of this transformative technology. In conclusion, this extensive review highlights the immense potential of blockchain in revolutionizing asset management while shedding light on the formidable challenges that need to be addressed for successful implementation. As the industry continues to explore and adopt blockchain solutions, collaboration and proactive measures will be essential in maximizing the benefits and mitigating the risks associated with this groundbreaking technology.
Identifying risk factors for cerebral venous thrombosis in an intensive care unit: Interest in early anticoagulant treatment
Authors: Ait Mouheb Tahar  , Amine Zakaria  , Ait Mokhtar Lynda  , Ahmed Benyahia Iheb  , Labaci Fatima
Published: February 2024

Thrombosis of the dural venous sinus or cerebral veins (CVT) of particular anatomical location of venous thrombosis with a complete or partial occlusion. Treatment of CVT with Heparin followed by VKA is recommended by current guidelines. Material and methods: We conducted a descriptive cohort study, of CVT recorded at the University Hospital Centre Lamine Debaghine Bab El Oued (Algeria) from April 2020 to December 2023. Results: We reported 16 cases of cerebral venous thrombosis (CVT) that were admitted to the intensive care ward from April 2020 to December 2023. It represents 7.4% of neurologic deficiency consultation in the emergency department in the studied period. The mean age of our population is 37.38. we found a preponderance in the female population. The aim of our study is to highlight the importance of early anticoagulation. Discussion: We found that early administration of anticoagulant therapy within the first 24 hours reduced mortality and outcomes in the study population. Our results were consistent with most studies reported in the literature. Conclusion: the introduction of the precocial anticoagulation impacts the mortality and outcomes in CVT however, more studies on the exact timing of introduction are required to define the right timing.
Current state and prospects of edge computing within the Internet of Things (IoT) ecosystem
Authors: Enoch Oluwademilade Sodiya  , Uchenna Joseph Umoga  , Alexander Obaigbena  , Boma Sonimitiem Jacks  , Ejike David Ugwuanyi  , Andrew Ifesinachi Daraojimba  , Oluwaseun Augustine Lottu
Published: February 2024

The burgeoning growth of the Internet of Things (IoT) has prompted a paradigm shift in computing architectures, leading to the emergence and rapid evolution of edge computing. This review delves into the current state and prospects of edge computing within the IoT ecosystem, exploring its significance, challenges, and future potential. Edge computing, characterized by decentralized data processing at or near the source of data generation, has gained substantial traction owing to its ability to address critical concerns such as latency, bandwidth consumption, and privacy issues inherent in centralized cloud-based systems. By enabling data processing closer to the point of collection, edge computing minimizes latency and ensures real-time responses, making it indispensable for latency-sensitive applications like industrial automation, autonomous vehicles, and healthcare. The integration of edge computing with IoT devices has facilitated the creation of distributed computing architectures capable of handling massive data volumes generated by interconnected devices. This convergence enables efficient data aggregation, analysis, and decision-making at the network's edge, reducing the burden on centralized cloud infrastructure and optimizing resource utilization. Despite its numerous advantages, edge computing faces several challenges, including resource constraints, security vulnerabilities, and interoperability issues. Resource-constrained edge devices often lack the computational power and storage capacity required for complex analytics, necessitating innovative approaches to resource management and workload distribution. Moreover, the distributed nature of edge environments introduces new security risks, necessitating robust security measures to safeguard sensitive data and mitigate cyber threats. Looking ahead, the prospects of edge computing within the IoT ecosystem are promising, with advancements in edge hardware, software, and networking technologies driving innovation and adoption. Edge computing is poised to play a pivotal role in enabling the next wave of IoT applications, ranging from smart cities and autonomous systems to immersive experiences and personalized services. However, realizing the full potential of edge computing requires concerted efforts from industry stakeholders to address existing challenges and foster ecosystem-wide collaboration. The convergence of edge computing and IoT holds immense potential to revolutionize industries, reshape computing architectures, and empower a new era of intelligent, responsive, and decentralized systems.
The role of IT in sustainable environmental management: A global perspective review
Authors: Ayodeji Abatan  , Mojisola Abimbola Adeyinka  , Enoch Oluwademilade Sodiya  , Boma Sonimitiem Jacks  , Ejike David Ugwuanyi  , Onyeka Henry Daraojimba  , Oluwaseun Augustine Lottu
Published: February 2024

This review offers a comprehensive overview of the intricate relationship between Information Technology (IT) and sustainable environmental management on a global scale. As the world grapples with environmental challenges, understanding the pivotal role of IT in fostering sustainability becomes increasingly imperative. The review begins by acknowledging the pressing environmental issues faced globally, including climate change, resource depletion, and biodiversity loss. It highlights the potential of IT to serve as a transformative force in addressing these challenges and fostering sustainable practices across various industries. The review explores how IT contributes to environmental sustainability through improved monitoring, data collection, and analysis. It delves into the role of technologies such as Internet of Things (IoT) devices, sensors, and satellite imaging in providing real-time environmental data. This information enables better decision-making, resource management, and the implementation of eco-friendly practices. Furthermore, the review examines the role of IT in promoting energy efficiency and reducing carbon footprints. It discusses the adoption of smart grids, energy management systems, and sustainable software solutions that contribute to optimizing energy consumption and reducing environmental impact. The review also explores the concept of "green IT," emphasizing the importance of adopting environmentally friendly practices in the design, production, and disposal of IT equipment. It discusses initiatives aimed at minimizing electronic waste and promoting the circular economy within the IT industry. Additionally, the global perspective of the review sheds light on how IT facilitates collaboration and knowledge sharing among nations and organizations. The review underlines the significance of international cooperation in leveraging IT for sustainable environmental management, emphasizing the role of technology in achieving global environmental goals. In conclusion, this review underscores the multifaceted role of IT in promoting sustainable environmental management globally. It emphasizes the transformative potential of IT in addressing environmental challenges, fostering innovation, and driving collaborative efforts towards a more sustainable and resilient future.
Healthcare management in a post-pandemic world: Lessons learned and future preparedness: A review
Authors: Oluwaseyi Rita Owolabi  , Funmilola Olatundun Olatoye  , Oluwafunmi Adijat Elufioye  , Beatrice Okunade
Published: February 2024

This review paper examines the profound impacts of the COVID-19 pandemic on healthcare management, highlighting lessons learned and proposing strategies for future preparedness. It explores the immediate challenges healthcare systems face, such as resource allocation and staff shortages. It discusses the rapid adaptations and innovations that emerged, including the expansion of telehealth and digital health technologies. The paper also reviews policy and management adjustments. It applies theoretical frameworks like organizational change, crisis management, and health systems resilience to understand these changes. Key findings emphasize the importance of resilience, flexibility, and innovation in healthcare management. Recommendations for practice and policy focus on enhancing public health infrastructure, investing in digital health, and fostering international cooperation. The paper concludes with directions for future research, including the evaluation of digital health interventions and strategies to address healthcare disparities, underscoring the need for a robust, adaptive, and equitable healthcare system in the post-pandemic world.
Machine learning in financial markets: A critical review of algorithmic trading and risk management
Authors: Wilhelmina Afua Addy  , Adeola Olusola Ajayi-Nifise  , Binaebi Gloria Bello  , Sunday Tubokirifuruar Tula  , Olubusola Odeyemi  , Titilola Falaiye
Published: February 2024

The integration of machine learning (ML) techniques in financial markets has revolutionized traditional trading and risk management strategies, offering unprecedented opportunities and challenges. This paper provides a comprehensive and critical review of the application of ML in algorithmic trading and risk management within the realm of financial markets. The review begins by exploring the evolution of algorithmic trading, highlighting the paradigm shift from traditional rule-based strategies to ML-driven approaches. Various ML algorithms, including neural networks, decision trees, and ensemble methods, are examined in the context of their application to predictive modeling, pattern recognition, and signal generation for trading purposes. The paper also delves into the challenges and limitations associated with the adoption of ML in financial markets. Issues such as overfitting, data bias, and model interpretability are discussed, emphasizing the importance of addressing these concerns to ensure robust and reliable trading systems. Furthermore, ethical considerations and potential regulatory implications of ML-driven trading strategies are considered in the context of market fairness and stability. In the realm of risk management, the review scrutinizes the role of ML in assessing and mitigating financial risks. The paper evaluates the effectiveness of ML models in identifying market trends, measuring portfolio risk, and optimizing asset allocation. Additionally, it examines the potential impact of ML on systemic risk and the need for adaptive risk management frameworks in dynamic market conditions. The synthesis of findings underscores the transformative impact of ML on financial markets, showcasing its potential to enhance trading strategies and risk management practices. However, the review also highlights the importance of addressing inherent challenges and ethical considerations to ensure the responsible and sustainable integration of ML in the financial domain. This critical review provides valuable insights into the current state of machine learning in financial markets, offering a foundation for future research directions and the development of best practices in algorithmic trading and risk management.
Analysis of personality traits using Myers-Briggs type indicator in correlation to the academic performance of BS ECE undergraduates
Authors: Angelo Mari Cuevas Paredes  , Edwin Romeroso Arboleda
Published: February 2024

academic performance among Bachelor of Science in Electronics Engineering (BS ECE) students. A sample of 70 students completed the Myers-Briggs Type Indicator (MBTI) assessment and provided academic performance data. Statistical analyses using Microsoft Excel examined associations between MBTI types and achievement. Overall, sensing and introverted types like ISTJ and ISFJ were most prevalent while intuitive, extroverted types were uncommon. The highest academic scorers frequently exhibited introverted, sensing, feeling traits such as ISFJ. Lower performers sometimes showed opposite extraverted, thinking types like ESTJ. Results indicate certain personality profiles may be drawn to engineering fields where they can thrive. However, variations emerged even among poorer scorers. Differences in thinking versus feeling dimensions also distinguished top and bottom achievers. While insightful, the small sample size limits generalizability. Assessing more undergraduate year levels could provide additional perspectives. Findings imply tailoring instructional methods to traits like introversion or thinking may optimize student engagement and learning. Monitoring personality development throughout engineering curricula may also support retention. Further research on personality's interaction with program demands over time is needed. Exploring larger samples across multiple cohorts and degrees could reveal more patterns. This initial investigation fills a knowledge gap, but expanded studies using bigger samples will deepen understanding of links between personality and performance in engineering education.
Increasing student engagement through digital branding in higher education marketing
Authors: Dianta Hasri Natalius Barus
Published: February 2024

As a result of the employment of social media, interpersonal contact and user involvement are made possible, which results in the modification of traditional hierarchical communication techniques and the introduction of an unexpected component into the decision-making process of customers. Even though it is considered to be a component of internet marketing, social media marketing is a crucial component for individuals and businesses that need to retain their competitiveness. On the other hand, the success of social media marketing is dependent on the presence of innovative items, the responsiveness of organizations to the market, and the construction of powerful online platforms. Twitter, Instagram, and Facebook are just some of the social networking sites that have evolved into indispensable tools for marketers. Since they enable interactive contact, these platforms are of tremendous value when it comes to the marketing of companies and services. Websites that facilitate social networking play an important part in the spread of information about educational institutions of higher learning. These websites also serve as effective means for recruiting prospective students. It has not yet been determined whether or not the content that is broadcast on these internet platforms has an effect on the cognitive processes that prospective students use when making choices about their education. The acknowledgment of user interaction on social media platforms is the most important non-financial benefit that organizations may get from their use of these platforms. When we have a thorough awareness of user interaction across a variety of platforms, we may have a better grasp of the influence that it has on how people perceive businesses. Instagram has become a significant medium for educational institutions of higher learning due to its visual-centric qualities, as well as its heightened engagement rates among a varied, youthful, and multinational community. This article places a strong emphasis on the relevance of brand equity within the context of the marketing strategy used by educational institutions of higher learning. When it comes to the idea of brand equity, there are several elements that may have an impact on it. Some of these characteristics include, but are not limited to, the personality of the brand, social credibility, and market position. It is quite necessary for educational institutions to make certain that they provide excellent services and facilities to their students. Nevertheless, the construction of a communication system that is both competent and effective is equally important for the purpose of boosting the positioning of the university's brand and effectively managing the value of its brand. The concept of "brand soul" serves as the basis for this, and it refers to the way the teachers and staff of the educational institution become the embodiment of the brand.
Senior high school athletes’ perception of coach’s leadership behaviour in terms of sex
Authors: Richard Samuel Kwadwo Abieraba
Published: February 2024

The objective of the study was to investigate whether males and females differed in their perception on coaches’ leadership behaviours in senior high school (SHS) in the Ashanti Region of Ghana. One hypothesis was generated to guide the research. A descriptive cross-sectional survey was used to conduct the research. A sample size of 1,002 respondents selected using multi-stage sampling from a population of 16,200 Senior High School Athletes in Ashanti Region who participated in organised inter-school sports competitions in the 2022/2023 academic year were used for the study. Adapted version of leadership scale for sports and adapted version of athletes’ satisfaction questionnaire were the instruments used for the study. The data was subjected to multivariate analysis of variance. Results revealed that a noteworthy difference in perceived coaches’ leadership behaviours for male and female SHS athletes {F (5, 995) = 14.11, P <. 001}. In light of the results, it is recommended that the coaches/PE teachers should assess and determine the type of coaching behaviour that is appropriate for a particular sex during training and competitions.
Non-invasive tools for inflammatory bowel disease: A systematic review and meta-analysis of biochemical markers and intestinal ultrasound compared to endoscopy
Authors: Sagar Ahammed
Published: February 2024

Despite endoscopy's gold standard status, non-invasive tools are revolutionizing Inflammatory Bowel Disease (IBD) management. This systematic review and meta-analysis compared the diagnostic accuracy of biochemical markers, intestinal ultrasound (US), and endoscopy in adults with IBD. This systematic review and meta-analysis aimed to compare the diagnostic accuracy of fecal calprotectin, C-Reactive Protein (CRP), Erythrocyte Sedimentation Rate (ESR), and bowel wall thickness measured by US with endoscopy in IBD patients. We searched electronic databases for most recent studies published between 2012 and 2023, identifying 25 studies comparing at least one non-invasive tool with endoscopy. We pooled sensitivity and specificity for relevant outcomes and conducted subgroup analyses to explore heterogeneity. 25 studies (n=5872 patients) met inclusion criteria. Fecal calprotectin emerged as a powerful diagnostic tool, with pooled sensitivity of 92.5% and specificity of 85.1% for IBD. But it’s performance was less consistent in differentiating active vs. inactive disease and predicting flares. Intestinal US proved reliable for diagnosis, particularly in Crohn's disease (pooled sensitivity 86.3%, specificity 78.9%), and showed promise in assessing activity and predicting treatment response. C-Reactive Protein and Erythrocyte Sedimentation Rate, though less accurate, provided additional information about disease status. Combining calprotectin and US further enhanced prediction accuracy, while decision tree analysis incorporating clinical data and both tools maximized prediction in ulcerative colitis. Non-invasive tools offer invaluable insights for IBD management, complementing and potentially reducing reliance on endoscopy. Standardizing methodologies and developing more specific markers, potentially aided by AI, holds immense potential for personalized, effective IBD care. This evolving landscape paves the way for a future where patients actively participate in their journey, empowered by the growing arsenal of non-invasive tools.
Hubungan Pengetahuan Ibu Tentang Asi Dengan Motivasi Menyusui Bayi Di Desa Botto Mallangga
Authors: Sulaeman Sulaeman , Dewi Sartika , Zainab Zainab
Published: February 2024

ASI esklusif ialah susu ibu yang dapat diberikan pada balita semenjak lahir hingga sampai dengan usia 6 bulan tanpa makanan serta minuman lainnya kecuali obat-obatan atau vitamain. Ibu dapat mendorong diri mereka sendiri untuk memberikan ASI esklusif yang baik jika mereka tahu pentingnya hal itu. Mereka akan dapat memaksimalkan jumlah dan kualitas menyusui bayi mereka jika ini dilakukan dengan benar. Studi ini dilakukan dari 28 Maret hingga 28 April 2023 di Desa Botto Mallangga di Wilayah Kerja Puskesmas Maiwa di Kabupaten Enrekang. Jenis penelitian yang digunakan adalah kuantitatif  dengan pendekatan deskriptif yang menggunakan rancangan cross sectional dengan menggunakan teknik total sampling yang berjumlah 27 responden, instrument berupa pemberian kuesioner yang berisi pertanyaan terkait pengetahuan ibu tentang ASI Eksklusif dan motivasi menyusui bayinya. Data yang diperoleh kemudian dianalisis univariat dan bivariat menggunakan uji chi-square. Hasil penelitian ini menunjukan bahwa Ada hubungan pengetahuan ibu tentang ASI dengan motivasi meyusui bayi di wilayah kerja puskesmas maiwa kabupaten enrekang dengan nilai signifikansi P=0,004 dengan tingkat kemaknaan p=0,05. Menyusui merupakan hal yang terbaik untuk bayi, karena Air Susu Ibu (ASI) dapat memberikan nutrisi yang cukup, dan dapat disesuaikan dengan kebutuhan bayi, serta ASI mudah dicerna di usus bayi
The Unlocking Language Proficiency: Exploring Duolingo's Impact on Vocabulary Learning
Authors: Indrasari Hesti Aulia , Prasetyo Yudy , Putranto Henry Rio
Published: February 2024

The development of technology in the industry 4.0 era makes it easy for students to carry out learning activities. This research uses the duolingo application as a learning medium. There are several apps that can help students learn English, especially learning vocabulary. These apps can also improve students' speaking, writing, reading and listening skills online. This study aims to implement the duolingo application to improve English vocabulary in STAR course junior high school students. This research is motivated by STAR course junior high school students who still have difficulty in mastering vocabulary. This research uses explanatory qualitative research methods. Researchers used observation, interviews, and documentation as data collection. The research questions are how the implementation of Cake application in learning English vocabulary. and how students' perception in using Duolingo application. The result of the research is that students are motivated and interested in using the duolingo application because it is easy to implement and has many features to improve vocabulary.
Comparison of Perioperative Serum Glucose and Serum Fructosamine Levels in Cats
Authors: ÜNSUR Özgenur , CİVELEK Turan
Published: February 2024

In this study, the changes in serum glucose and fructosamine levels according to the sampling time in cats anaesthetised for castration and ovariohysterectomy were investigated. The study material consisted of 25 cats aged between 6 months and 2 years. Blood samples were collected from the anaesthetised cats (medetomidine, butorphanol, ketamine) before anaesthesia, at the beginning of anaesthesia, before awakening from anaesthesia and after awakening from anaesthesia. Glucose, fructosamine, cholesterol, triglyceride, total protein and albumin levels were measured in the sera obtained. In the statistical comparison made according to the measurement times, it was found that serum glucose level changed significantly. However, no statistically significant difference was found in serum fructosamine levels. It was evaluated that the variation in glucose levels in the perioperative period may be related to anaesthetic agents, and although there was no statistically significant change in fructosamine levels, one of the reasons for the increase in glucose levels observed in the perioperative period was probably operation stress. The results of the study showed that serum glucose measurements are important in perioperative glycaemic control of cats, and serum fructosamine measurements have diagnostic value in the exclusion of possible perioperative hyperglycemia that may develop for different reasons. The stable serum fructosamine level in the perioperative period can be accepted as an indication that it was not affected by the anaesthetic agents used in this study.
Investigation of subsidence induced by the production of sublevel caving method in Divrigi Ekinbaşı underground iron mine
Authors: Erdem Bülent , Ceylanoğlu Atilla , Şengün Bahadır
Published: February 2024

In this study, the subsidence induced by sublevel caving production method applied in the Divriği Ekinbaşı underground mine was investigated and evaluated. In this context, on-site observations and measurements were made in the underground mine. Two point cloud datasets with an approximately seven-month time difference were analyzed, and surface collapses, cracks, and fractures were plotted on the map For each periods, the fracture initiation and subsidence angles of hangingwall and footwall sides were determined. As a result of the analysis of first and second data sets, subsidence angle of the hangingwall side remained the same as 50.40°, in the footwall side 72.84° and 53.44° respectively. The areas of fracture and subsidence regions increased by 4.67 ha and 7.67 ha, respectively, over a period of around seven months.
Research on Intelligent Supervision System of Ore Pass
Authors: Liu Baoshun , Song Yanyu , Ye Yongjing , Zhang Zijing
Published: February 2024

To prevent safety accidents caused by mining vehicles and personnel entering the operation area by mistakes, it is necessary to reduce the risk of the ore pass. However, the underground space of the mine is narrow, and factors such as dust and noise during the unloading process endanger the health of the personnel on duty in the ore pass. As such, the target detection technology based on deep learning is introduced into the underground monitoring system. The underground surveillance video samples are collected to establish a dataset for Yolov3 algorithm to identify minecarts. Through optimizing the Yolov3 model training process and algorithm, and using the dual-camera collaborative discrimination method, the influence of brightness on the recognition results when the loaders or trucks lights are turned on can be overcome. Four types of minecarts can be accurately identified from the underground surveillance video. On the basis of mining car recognition, an intelligent access control system for mine shafts based on Jetson Nano’s embedded development is developed. The on-site operation results show that the average accuracy of target vehicle recognition is within the range of 95%-100%. The system continuously recognizes the mine car 5 times from the detection program and sends the opening and closing command to complete a 90 ° rotation, which takes only 3 seconds，effectively meeting the needs of the mine for ore pass control.
An overview of halloysite mineral
Authors: Durgut Emrah , Çınar Mustafa , Özdemir Orhan
Published: February 2024

Halloysite is a type of clay mineral found in the kaolin group together with kaolinite, dickite, and nacrite minerals. Kaolinite is the most common mineral in this group, while dickite, nacrite, and halloysite are rarer. Although halloysite is primarily used in ceramic production, application in other industries is increasing and gaining economic value due to its unique properties. The use of halloysite is determined by the degree of purity and the properties of the nano-sized tubular structure. Naturally obtained halloysite mineral has a key position in the field of nanotechnology due to its unique physicochemical properties originating from its tubular structure. Also, due to its reserves in many parts of the world, halloysite is a more economical material for the sectors compared to artificially produced nanomaterials. And, they find many different application areas because of these features (morphological and physicochemical). Halloysite reserves known in Türkiye are located in the Çanakkale and Balıkesir regions. Although there are many useful studies on halloysite in different, additional studies are needed to understand the nano-sized properties of halloysite ore and to ensure its use that will provide maximum benefit. This study aimed to contribute to the studies on halloysite in terms of literature by compiling studies on the characterization of halloysite minerals, reserve information, physicochemical properties, enrichment methods, and usage areas.
Oil Agglomeration in Zonguldak Bituminous Coal Dust: The Role of Inorganic Materials
Authors: Şahbudak Kemal , Cebeci Yakup
Published: February 2024

In the present study, the effect of various The oil agglomeration method is of great importance for high recovery and low cost in capitalizing our energy resources that create environmental problems due to fineness of particle size or our low quality, oxidized coal resources with large reserves. Inorganic pretreatment materials, the ratio of bridging liquid, agglomeration time and mixing speed on the agglomeration recovery in the beneficiation of Zonguldak coal with low ash content (2.23%) through oil agglomeration. In the experiments, kerosene was used as the bridging liquid and NaCl, FeCl2, Fe2(SO4)3, Al2(SO4)3 were used as inorganic pretreatment materials. In the agglomeration experiments in which inorganic pretreatment materials and kerosene were used together, the maximum recovery was determined in the condition where the kerosene concentration was 15%, the mixing speed was 800 rpm and the agglomeration time was 10 min. It was found that, the recovery under suitable conditions was 71.5% in the agglomeration experiments conducted with only kerosene, whereas it was in varying rates between 76.5% and 81.6% in experiments where pretreatment materials and kerosene were used together. Among the inorganic pretreatment materials, when used together with kerosene, the best recovery was obtained with the use of 50 mg/L Fe2(SO4)3. The agglomeration recovery obtained in the experiments conducted with only kerosene under optimum conditions was reached when the agglomeration time was 5 min in the experiments in which the inorganic pretreatment materials and kerosene were used together.
Applications of DEM particle breakage models in mineral industrial
Authors: Karaca Sevgi , Uçar Ali
Published: February 2024

Modeling processes are carried out in the mineral industry as well as in many areas depending on the development of computer technologies and software. Discrete Element Method (DEM) is used in modeling studies to explain the interaction of particles with other particles and communication equipment. The DEM provides the capability to simulate the movement of the granular media in a series of computational processes of each individual particle that consists of the granular media. It is becoming increasingly widely used to predict energy consumption, wear, particle breakage and particle size distribution in crushing and grinding processes that can be described in terms of granular materials using DEM. The selection of particle breakage models used by commercial software for modeling DEM particle breakage is important. In this study, it is summarized the studies have been carried out to understand the performance of particle breakage methods, which are Bonded Particle Model (BPM), Fast Breakage Model (FBM) and Particle Replacement Model (PRM), in the modeling of comminution equipment. In addition, the relationship between particle and breakage energies and theory of applied forces are described in detail for three breakage models existing in commercial DEM simulators.
RANCANG BANGUN SISTEM KEAMANAN KOPER MENGGUNAKAN SENSOR PASSIVE INFRA RED PENYEMPROTAN TINTA OTOMATIS DAN MELALUI SMS GATEAWAY BERBASIS ATMEGA328
Authors: Harahap Nita , Nasution Mulkan Iskandar
Published: February 2024

Research has been carried out that aims (i) to design an innovative luggage security system based on the AVR Atmega 328 microcontroller (ii) to design a system structure so that the security system can issue a spraying action. good. The tool is designed to reduce the occurrence of theft in luggage caused by the owner's mistake who often leaves his suitcase somewhere which generally occurs at airports, stations. The system uses, Microcontroller as a motion sensor detector and performs spraying action, PIR (Passsive Infra Red) Sensor as a motion detector of an object such as human movement, DC Pump to drain water from one place to another with the help of electrical energy, communication via SMS gateway with control circuit uses GSM modem media to send SMS on the user's cellphone. The design of an innovative luggage safety device can be built using electronic components based on the Avr microcontroller, namely the ATmega 328 on the Arduino Uno board, where the system is supported by several supporting components such as motion sensors, LCD displays, keypads and ink pumps. The circuit is supplied by a 12V Lithium ion battery. All components are packed in a plastic box and installed in a suitcase. When the suitcase is open, the sensor will detect motion and the microcontroller will detect the correct password if the person who opened the suitcase is the owner of the suitcase. The security system will spray permanent ink liquid if the suitcase is broken into by an irresponsible person. The sensor will detect motion when the suitcase is open, and if within 6 seconds the correct password is not entered, the microcontroller will activate the pump motor and the ink will come out through the end of the hose right in front of the suitcase.
KARAKTERISTIK METALURGI PADA ZAMAN ZULKARNAIN DALAM KAJIAN SAINS: BESI DAN TEMBAGA
Authors: Anggraini Eva , Rosyidi Muhib
Published: February 2024

Zulkarnain's story is found along the line of Al-Kahfi's letters. One of the most popular was when Zulkarnain was asked by the creatures living between the two mountains to stop the exit of yakjuj and makjuj the destroyer. Zulkarnain was asked to make fortifications or high walls as a barrier to the destroyer. By Iskandar Zulkarnain made a fort with pieces of hot iron doused with melted copper. The characteristics of the mixture of steel and copper when combined will produce a sturdy and strong steel iron. Some elements are combined with steel in order to improve the tensile ability of steel iron. In some studies, it is combining steel with copper. Copper alloy steel is expected to increase the attractiveness of the steel iron. This will be seen by obtaining existing data on the mixture between steel and copper. The purpose of this study is to find out the relationship between science and Zulkarnain's story and to know how the characteristics of the mixture of iron with copper in the manufacture of barrier walls. In the manufacture of barrier fortifications using casting techniques. For data collection through the study of literature. In collecting data, the author collects data and information related to the Quranic interpretation of iron and copper,  characteristics of steel, characteristics of copper, foundry techniques, and quranic interpretation of the  story  of Zulkarnain through supporting data sourced from research journals. . The method used uses a qualitative method that contains descriptive explanations with existing data. The results of the research obtained that from several studies it is known that the alloy between copper metal and steel iron produces a strong steel attraction and has a high ultimate stress compare.d to without an alloy. The alloy also prevents from the effects of corrosion on iron
RANCANG BANGUN SISTEM KEAMANAN RUMAH MENGGUNAKAN SENSOR PIR (PASSIVE INFRA RED) DENGAN PERINGATAN SUARA DAN NOTIFIKASI TELEGRAM BERBASIS MIKROKONTROLER NODE MCU
Authors: Dalimunthe Syahro Aina Ahmad , Daulay Abdul Halim
Published: February 2024

Research has been carried out aimed at:(1) to produce a home security system using a PIR (passive infrared) sensor with voice warnings and telegram notifications based on the MCU node microcontroller. (2) to determine the performance of the resulting home security system. The design uses a node mcu microcontroller as the main controller. The design uses a motion sensor (PIR) to detect motion that occurs inside the house. The design uses an internet modem to send telegram notifications to homeowners. The speed of communication between the microcontroller and Telegram depends on the internet network connection. Sending messages via telegram to the mcu node, it is also assumed that electricity and internet are in a stable condition. A home security system using a PIR (passive infrared) sensor with sound warnings and telegram notifications based on the MCU node microcontroller can be generated. Testing of each component (power supply, PIR sensor, MCU node microcontroller, MP3 player module, limit switch sensor and ESP8266) indicates that each part is functioning and working properly. The performance of the resulting home security system is very good. After the system is activated, any movement detected in the living room and/or terrace of the house as well as windows and/or doors that are detected are open, the system will respond by emitting a sound through the speaker in the form of a warning or informing that a house break-in has occurred while sending a chat telegram to the user.
SISTEM PENDUKUNG KEPUTUSAN UNTUK SELEKSI KARYAWAN BARU DENGAN MENGGUNAKAN METODE FUZZY TSUKAMOTO
Authors: Nurfadila Siti , Lubis Riri Syafitri , Cipta Hendra
Published: February 2024

In running an agency/company, competent employees are one of the keys to achieving a company goal. The role of the decision support system will help staffing to achieve the objectives of the selection process for new prospective employees without compromising the criteria set by the company. The purpose of this study was to determine the application of the Tsukamoto fuzzy method in the process of selecting new prospective employees. The advantages of the Tsukamoto fuzzy method are that it is intuitive and can provide responses based on inaccurate and ambiguous information. The ranking of expert results and Tsukmaoto's FIS was compared using Rank Spearman. The correlation test value of 0.818623 indicates that the Tsukamoto fuzzy has produced an accurate solution.
ANALISIS SARANA PRASARANA LABORATORIUM FISIKA DALAM MENDUKUNG KEGIATAN PRAKTIKUM FISIKA SMA
Authors: Siti Khairunnisa Siti , Maryana Maryana , Silvania Wardani Silvania , Nurlaini Nurlaini , Lubis Nur Azizah
Published: February 2024

A facility that supports the increase in student learning is a laboratory. While the location of the student trains the ability to know the object being studied, both from understanding and experimentation as well as being an understanding of the laboratory. The existence of the role of the laboratory in order to increase students' understanding. The aim is to assess the laboratory at SMA Negeri 3 Langsa. This type of research is descriptive research that discusses the characteristics of a variable. The research approach with a qualitative research approach has a goal, namely to get more realistic results. Field observations used the process of visiting schools in May 2023. Data analysis which was carried out using questionnaires and research results showed that at SMA Negeri 3 Langsa.
PERANGKAP HAMA OTOMATIS BIBIT SAWIT METODE MENGGUNAKAN MIKROKONTROLER DENGAN SOURCE POWER PANEL SURYA
Authors: Saputra Mhd Rio , Nofriadi Nofriadi , Syahputra Abdul Karim
Published: February 2024

Oil palm plantations are one of the largest natural resources in North Sumatra. Not a few people make it as an investment vehicle, for example at PT. Perkebunan Nusantara III which is engaged in the management of oil palm and rubber latex plantations. However, to make the investment a success, superior seeds are chosen before planting. Superior seeds must take extra care, but there is one thing that is very detrimental in oil palm nurseries, namely pests that often attack the seedlings in the late afternoon and evening. Therefore, in the treatment of seedlings, spraying poison with a certain dose. If it is wrong in the dose of poison, the seeds will be further damaged by the poison. In this case, the idea was raised to create an automatic pest trap as an automatic trap instead of poison so as to minimize the problems that occur. In this study using Arduino uno, LDR sensors, relays, lights, solar panels, solar chargers, and 12v battery. Which is Arduino Uno as a microcontroller, LDR sensor as an ambient light reader, and relay as an automatic switch on the lamp. The source of electricity comes from solar panels and a solar charger to charge the battery. With this tool, it is hoped that it can help the work of plantation employees in caring for oil palm seedlings.
PENILAIAN PRESTASI KERJA KARYAWAN PT. PERKEBUNAN NUSANTARA IV MEDAN DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)
Authors: Nst Winda Risfani , Dur Sajaratud , Cipta Hendra
Published: February 2024

Employee performance appraisal is one of the important roles in the company. This is done to evaluate, motivate and improve employee performance in the company. The results of this performance are used to determine employees who excel. This study uses 5 criteria, namely commitment, integration, professional, innovative, and disciplined. Simple Additive Weighting (SAW) is used to determine the weight value of each attribute, followed by ranking to select each given alternative. This method can help decision making to produce the greatest value as the best alternative. This research was conducted on 37 respondents' data. The results of the study indicate that this can provide the best decision alternative in making decisions to assess employee performance.
DIACRITIC-AWARE ALIGNMENT AND CLASSIFICATION IN ARABIC SPEECH: A FUSION OF FUZTPI AND ML MODELS
Authors: Sabour Adel , Hendawi Abdeltawab , Ali Mohamed
Published: February 2024

This paper presents the Quran Speech Recognition (QRSR) system, achieving alignment and classification accuracies up to 96%. The system is designed to advance Arabic Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) by focusing on the Arabic diacritic-annotated text. We address the limitations of existing Arabic ASR systems and introduce the Fuzzy Text Alignment and Rule-based Classifier (FTARC) for segmenting audio files and aligning text. The FuzTPI algorithm is integrated with Machine Learning models like Na¨ıve Bayes, Support Vector Machine, and Random Forest. This research aims to generalize the findings for broader Arabic text and contribute to an expanded audio dataset, thereby enhancing Arabic NLP and speech recognition capabilities.
PENGARUH PENAMBAHAN ABU KULIT CACAO TERHADAP SIFAT MEKANIK DAN MORFOLOGI BATA MERAH
Authors: Masthura Masthura , Sirait Ratni , Sagala Rosyidah Mardiyah
Published: February 2024

Penelitian ini bertujuan untuk mengetahui pengaruh variasi abu kulit cacao terhadap parameter mekanik dan morfologi dalam pembuatan batu bata merah. Metode penelitian ini menggunakan eksprimen. Kuat tekan pada bata merah memiliki nilai minimum 29,73 kg/cm2, dan maksimum 243,82 kg/cm2, dengan melakukan pengujian morfologi menggunakan Scanning Electron Microscope (SEM) dengan bantuan software digimizer maka, nilai minimum sebesar 0,7985 m dan maksimum 2,4551 m. Bahan pembuatan bata merah yaitu tanah liat air dan abu kulit cacao, yang di bakar dengan memvariasikan suhu. Suhu pembakaran batu bata yang optimum pada suhu 1000oC dengan variasi abu kulit cacao 20%, penelitian ini sesuai dengan SNI 15-2094-2000.