bluuebunny/crossref_metadata_2025 huggingface dataset:
Trends in Knowledge Capturing and Its Success Factors: A Systematic Literature Review
Authors: Ramadhan Yudistira , Pratiwi Maharani Eka , Sensuse Dana Indra , Lusa Sofian , Safitri Nadya , Elisabeth Damayanti
Published: April 2024

Knowledge management (KM) is a systematic approach that facilitates the development, dissemination, and creation of value from information and knowledge within an organization. Knowledge management is deemed the most valuable asset for many organizations. However, the implementation of a knowledge capturing model is still a challenging task. In this research, a Systematic Literature Review (SLR) methodology is employed to identify and analyze diverse approaches to capturing and utilizing knowledge in various organizational domains. The search process is executed across five databases, namely, Scopus, Science Direct, Emerald Insight, Taylor & Francis Online, and IEEE. The study findings reveal a total of 24 knowledge capture methods employed across diverse organizational contexts and knowledge types. Among these methods, the questionnaire was mentioned in 4 articles, an interview in 2 articles, and an expert interview in two articles. The success factors were classified into 20 types, including common knowledge, organizational capabilities, quality of knowledge, trust and acceptance, leadership capabilities, feedback and learning, performance measurement, reward and recognition, efficiency, knowledge management integration, organizational culture, knowledge managers tools and techniques, effectiveness, motivation, information technology, and knowledge management process, training, knowledge representation, and collaboration. Additionally, the identified trending methods and eight key success factors that influence implementation of various knowledge capture models add a new understanding of the critical elements for success in knowledge capture initiatives. This review, in accordance with PRISMA guidelines, provides a foundation for future research efforts in knowledge acquisition and systematic literature review.
Rancang Bangun Sistem Aplikasi Bank Sampah Online Berbasis Android Di Bank Sampah Lintas Winongo
Authors: Rajasa Bagas Rangga , Sejati RR. Hajar Puji
Published: April 2024

Bank Sampah Lintas Winongo di Kampung Badran, Jetis, Yogyakarta telah menjadi fasilitator masyarakat dalam menangani permasalahan sampah di Kampung Badran sejak 2009. Meskipun telah memiliki banyak nasabah, pengelolaan bank sampah ini masih dilakukan secara manual yang menyebabkan sejumlah permasalahan dalam layanannya seperti transaksi pembukuan dan manajemen pengelolaan sampah yang masih bergantung pada proses manual. Keberlanjutan penggunaan sistem manual juga menimbulkan potensi kerusakan data dan risiko kesalahan pada tahap input data, yang dapat berdampak negatif pada efisiensi dan akurasi pengelolaan sampah secara keseluruhan. Maka dari itu diperlukan sistem aplikasi bank sampah yang dapat mempermudah transaksi baik dari sisi nasabah maupun pengelola bank sampah dalam pengelolaannya. Metode penelitian ini menggunakan metode waterfall dan berfokus pada kebutuhan Bank Sampah Lintas Winongo. Adapun dalam pengujian sistem digunakan metode black box teting. Hasil dari penelitian ini mampu memberikan kemudahan bagi nasabah dan pengelola bank sampah dalam setiap proses transaksi. Penggunaan sistem ini diharapkan dapat mempermudah dan mempercepat proses penabungan sampah yang dilakukan oleh nasabah, dengan tujuan meningkatkan minat masyarakat dalam penggunaan layanan bank sampah.
Business Process Reengineering Pada Pengukuran Sistem Pemesanan Tiket Pesawat Maskapai Lion Air
Authors: Romadhana Muhammad Restu Adjie , Nuryasin Ilyas , Suharso Wildan
Published: April 2024

Transportasi udara merupakan sektor yang sangat penting dalam konteks ekonomi dan pengembangan wilayah. Penerbangan memiliki peran krusial dalam mendukung pertumbuhan ekonomi, konektivitas global, dan kemajuan sektor-sektor lain. Penelitian ini bertujuan untuk memahami dan meningkatkan efisiensi dalam proses pemesanan tiket maskapai Lion Air Balikpapan melalui penerapan metode Business Process Reengineering (BPR). Metode penelitian ini melibatkan serangkaian langkah dalam rangka melakukan BPR. Pengujian efisiensi throughput dilakukan berdasarkan perhitungan waktu kinerja proses bisnis menggunakan standar ASME. Hasil analisis awal menunjukkan bahwa proses pemesanan tiket di maskapai Lion Air Balikpapan memiliki efisiensi throughput sebesar 38,42%. Namun, setelah melakukan perubahan dan pemetaan standar ASME serta mengeliminasi proses yang tidak memberikan nilai tambah, efisiensi throughput meningkat menjadi 90,99%. Hal ini menunjukkan peningkatan signifikan dalam efisiensi dan kecepatan dalam proses pemesanan tiket. Kesimpulannya menunjukkan bahwa penerapan metode BPR dalam proses pemesanan tiket maskapai Lion Air Balikpapan berhasil meningkatkan efisiensi dan kecepatan pelayanan kepada pelanggan.
Advancements and Challenges in Data Harmonization: A Comprehensive Review
Authors:   Neal Analytics Bellevue, WA, USA, Patel Paraskumar
Published: April 2024

This paper comprehensively examines the evolution and current state of data harmonization methodologies, a critical process in integrating diverse data sources into a coherent and analyzable ensemble. In the age of big data, the ability to amalgamate data from disparate sources, each with unique types, structures, and semantics, has become increasingly vital. Through an in-depth exploration and comparative analysis, we chart the transition from traditional, labor-intensive manual and semi-automated processes to sophisticated, automated systems enabled by recent advances in computing technologies, artificial intelligence (AI), and data science. We highlight the significant advancements achieved in the field, as well as the persisting challenges that necessitate further innovation and adaptation. The paper showcases various case studies to illustrate the evolving landscape of data harmonization, advocating for a hybrid approach that combines the meticulousness of traditional methods with the agility of advanced techniques. This integrated approach aims to address the complexities of data harmonization in an increasingly data-driven world. By highlighting the critical role of technological advancements and proposing a balanced pathway forward, this paper contributes to the ongoing discourse on improving data integration practices, ultimately facilitating more informed decision-making and research across various domains
Navigating the Digital Frontier: Strategies for Securing Personal and Financial Data in Mortgage Applications
Authors:   Senior Principal Software Engineer, CA, USA, Shende Abhishek
Published: April 2024

The digital transformation of the mortgage industry has significantly enhanced the efficiency and accessibility of mortgage applications. However, this evolution also introduces complex challenges in securing personal and financial data. The research paper delves into the multifaceted strategies and technological advancements employed to safeguard sensitive borrower information in the digital mortgage landscape. Drawing from a diverse array of scholarly papers and industry articles, the paper explores the integration of cutting-edge technologies such as blockchain, encryption, and secure online portals, which collectively fortify the security framework within the mortgage application process. It examines the role of blockchain in creating immutable records and ensuring transparent transactions, while also discussing how encryption and secure data storage methods are pivotal in protecting against data breaches and cyber threats. The paper further highlights the importance of regulatory frameworks and industry standards in guiding and enforcing data security practices. Through this comprehensive analysis, the research provides insights into how these technological and regulatory mechanisms interplay to maintain the integrity and confidentiality of borrower data, thereby fostering trust and reliability in the digital mortgage sector
Developing In-house Capability and Centre of Excellence
Authors:   USA, Voruganti Kiran Kumar
Published: April 2024

In an era dominated by rapid technological advancements and shifting market demands, organizations are pressed to continuously evolve to stay competitive. This dynamic landscape necessitates a strategic overhaul in how companies develop their internal capabilities, particularly in fields like AI and digital transformation. Traditional approaches to talent development and innovation management are becoming increasingly insufficient, leaving organizations at risk of lagging behind in innovation and market responsiveness. This paper delves into the critical role of developing in-house capabilities and establishing Centers of Excellence (CoEs) as strategic imperatives for organizations aiming to harness the full potential of digital transformation. Through a comprehensive examination of the challenges, strategic planning, technical approaches, and implementation phases, the paper outlines a blueprint for successfully nurturing talent, fostering collaboration, and institutionalizing best practices within organizations. Key findings underscore the importance of aligning CoEs with organizational goals, the strategic value of competency-based talent management, and the necessity of a culture that promotes continuous learning and quality excellence. Drawing on insights from industry best practices and the author's personal experiences, this paper aims to equip leaders, architects, and engineers with the knowledge and strategies to effectively develop in-house capabilities and establish CoEs, thereby enhancing organizational agility, innovation, and competitive advantage in the digital era.
Machine Learning for Predictive Observability - A Study Paper
Authors:   Site Reliability Engineer, Barclays, USA, Mahida Ankur
Published: April 2024

Since artificial intelligence and machine learning have taken off over the last six years, predictive observability has progressed fast. This paper addresses the progress in machine learning technologies of leveraging observability data for anomaly detection, forecasting, and reliability prediction from 2016 to 2022. It centers on how machine learning developments have championed more proactive observation, distinguishing these from reactive observability. The review discusses unsupervised learning methods for anomaly detection, including isolation forests and autoencoders. The idea is to detect suspicious entities early when they have yet to cause harm to users. Likewise, LSTMs have shown effectiveness for forecasting critical time series of vital metrics to predict the capacity and performance issues to avoid them. Failure modeling methods like survival analysis secure the risk of failure and provide reliability improvement indicators. The transformers and the adversarial machine learning approaches are listed as the breakthroughs that lead to enhanced predictivity on noisy data. Accurate metrics quantified are 60-70% better tip-off early in the incident, a 25-50% decrease in user-affecting failures, and up to 30% shorter mean time to recovery. Companies that have already deployed probabilistic observability on a large scale, like Google, Stripe, IBM, and Alibaba, are reviewed. This summary concludes that in the past six years, applied machine learning has grown exponentially for predictive observability, giving teams proactive and preventive management capability. Advancement will occur in the future, along with the ability to harness new ML methods and deployment in real-world applications, which will see an impact on the field.
Technology Modernization for Enhanced Cybersecurity in Banking Applications
Authors:   USA, Dey Arnab
Published: April 2024

This paper addresses the imperative need for technology modernization in banking applications to mitigate the escalating threat of cyber attacks. As the financial industry increasingly relies on technology to deliver services, the vulnerabilities and risks associated with outdated technology stacks become more pronounced. This paper explores the benefits of upgrading banking application technology stacks to the latest and most advanced solutions to bolster cybersecurity defenses and safeguard sensitive financial information.
The AI-powered PM Toolkit - A Project Manager’s Guide to Thrive the Generative AI Wave
Authors:   Genpact, USA, Deshpande Mahesh
Published: April 2024

Project management stands at the precipice of a significant transformation driven by Generative AI (GenAI). This paper delves into the profound impact of GenAI on project managers, exploring how it reshapes roles, responsibilities, and the future of the field. We begin by outlining the evolution of AI, highlighting the emergence of GenAI and its ability to go beyond analysis and create novel content. GenAI will transform project management responsibilities from fully automated activities to a blend of assisted and augmented tasks, requiring collaboration and strategic application of this innovative technology. The paper explores the evolution of project management methodologies and the evolving skillset required of successful project managers in the age of AI and offers a "Project Manager's Guide to Thriving in the Generative AI Tsunami" by outlining the three pillars of the PMI Talent Triangle: Ways of Working, Power Skills, and Business Acumen. Each pillar is examined in detail, highlighting the role of GenAI in enhancing mastery and providing illustrative examples of AI-powered tools and frameworks. This paper equips project managers with the knowledge and tools to not only survive but thrive in the age of GenAI, ensuring their continued value and leadership in shaping successful projects.
Real-Time Incident Response and Remediation-A Review Paper
Authors:   Subject Matter Expert (SME), Barclays, USA, Mahida Ankur
Published: April 2024

The real-time correlation of IRR to effective cyber defense plays a crucial role. Regular answers usually take more time to be provided and permit devastations to occur, thus becoming more severe. The swiftest IRR of automation and real-time analytics is characterized by early threat detection, instant response, and quick incident resolution. The very needed capabilities include machine detection of abnormalities and threats, quick investigation through correlation and AI, and fast response through preinstalled playbooks. SIEM, EDR, and SOAR operationalization make active IRR possible in real-time. The positive aspects of introducing such a solution are pronounced - early threat containment, speedy recovery, and higher efficiency levels for the security team. On the other hand, actual-time IRR has limitations: false positives, integration of faiths, people and procedures dependence, and effectiveness against advanced threats. However, inundation by the real-time IRR signifies a cybersecurity revolution. The real-time IRR is an opportunity for innovation in analytics and automation that partially or transforms the enterprise security system. However, the dissemination faces technical and coordination-related barriers. The real-time IRR capability is a clear sign of progress in eliminating the cyber resiliency gap, but there is still room for improvement to achieve the best.
Cloud Storage Cost Optimization: Advanced Techniques and Case Studies
Authors:   USA, Kanumuri Sasi
Published: April 2024

The growing usage of cloud storage has revolutionized data management by offering unparalleled scalability and accessibility. However, optimizing cloud storage prices remains challenging, sometimes leading to significant unforeseen costs. This article explores a wide range of advanced techniques and practical case studies that enable enterprises to effectively navigate the intricacies of cost optimization across top cloud providers, including Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS). Beyond selecting the most appropriate storage type for individual workloads (block, blob, or file storage), we explore advanced strategies that unlock substantial cost savings. From leveraging contractual negotiations for high-volume storage users to utilizing dedicated data transfer devices for streamlined on-premises migration, this paper equips readers with a diverse arsenal of optimization tools. We explore best practices for data lifecycle management, such as tiered backups and granular retention policies, to optimize beyond merely technical solutions. This way, we ensure that data is held at the most affordable tier depending on its frequency of access and compliance with legal requirements. By consistently analyzing cloud storage consumption and adapting responsive strategies to changing requirements, enterprises may retain optimal performance while ensuring long-term financial sustainability. This paper serves as a valuable resource for organizations seeking to master the intricacies of cloud storage cost optimization. By implementing the advanced techniques and best practices outlined herein, cloud users can confidently unlock significant cost savings and maximize the return on their cloud storage investments.
Automated Root Cause Analysis with Observability Data - A Comprehensive Review
Authors:   Site Reliability Engineers (SRE), Barclays, USA, Mahida Ankur
Published: April 2024

Identifying the root cause analysis is the key to the timely detection of errors in massive, multiple-functional software systems. Meanwhile, network development will become more intricate and non-transparent, leaving the human algorithm behind. The paper dedicates its resources to discussing ways to automate root cause analysis based on observability data, such as logs, metrics, and traces. Technologies including causal inference, anomaly detection, and pattern recognition are specialized techniques that allow us to identify the breach in the background of thousands of connected events. Data-driven tools in research and industry that consume observability data as input, uncover anomalies, model system topology, and rank probable root causes use these technologies. This should give the customer a shorter mean repair time, higher reliability, and security. Deeper adoption is perfect for chain management and the performance gains of individual developers. The coverage includes strategies of algorithmic and implementation of root cause analysis with the observability data. Related topics like service maps and anomalous numbers are also discussed where necessary. Scaling out the automatic diagnosis entity is investigated as an automated means to replace the manual ones faced with elaborate models.
Cloud Engineering Agile Leadership: Motivating Heterogeneous Teams
Authors:   Independent Researcher, Celina, Texas, USA, Rangavittal Prasanna Begamudra
Published: April 2024

In the rapidly evolving field of cloud engineering, agile leadership plays a crucial role in driving team performance and innovation, especially within heterogeneous teams. This article explores the dynamic interplay between agile leadership practices and the motivation of diverse teams in cloud engineering contexts. Through a comprehensive literature review and analysis of current practices, the study identifies key challenges and strategies for agile leaders in fostering an environment that promotes inclusivity, adaptability, and continuous improvement. Empirical evidence and case studies are used to illustrate how transformational leadership and innovative strategies can enhance team cohesion, motivation, and productivity. The findings suggest that agile leadership, characterized by flexibility, open communication, and a strong focus on team empowerment, is essential for the success of cloud engineering projects. This study contributes to the existing body of knowledge by providing insights into effective leadership strategies for managing heterogeneous teams in the cloud engineering domain.
Mastering Stateful Application Management in Kubernetes: Strategies, Challenges, and Advances
Authors:   USA, Raghunathan Savitha
Published: April 2024

The beginning of container technology, spearheaded by Docker and orchestrated by Kubernetes, has revolutionized the deployment of applications, offering remarkable agility, efficiency, and scalability.
Overcoming Data Gaps in Sales Analysis
Authors:   Neal Analytics Bellevue, WA, USA, Patel Paraskumar
Published: April 2024

In the rapidly evolving global marketplace, businesses face the critical challenge of navigating through extensive sales data to derive actionable insights. This paper explores the complexities of aligning and analyzing sales data from various third-party vendors across different geographies, highlighting the significant impact of data misalignment and gaps on strategic decision-making.
US- Based Brand Launching guidelines on Amazon Australia
Authors:   E-Commerce Manager, USA, Patel Vimalkumar
Published: April 2024

This whitepaper serves as an in-depth guide for US-based brands aiming to extend their market presence and establish a successful foothold in the thriving e-commerce landscape of Amazon Australia. Despite the relatively nascent stage of the Australian market, its unique characteristics and growth potential make it a strategic avenue for expansion.
The Role of Leadership in Facilitating Agile Transformation in Pharmaceutical Project Management
Authors:   Independent Researcher, Celina, Texas, USA, Rangavittal Prasanna Begamudra
Published: April 2024

The rapid pace of technological advancements and the increasing complexity of global health challenges necessitate agile transformation in pharmaceutical project management. Leadership plays a pivotal role in this context, acting as the catalyst for change and enabling teams to adapt to agile methodologies effectively. This article examines the influence of leadership on facilitating agile transformation within the pharmaceutical industry.
Analyzing Recent Anomalies in the Impact of Interest Rates and Inflation on US Financial Markets
Authors:   USA, Jarunde Nikhil S
Published: April 2024

The traditional relationships between interest rates, inflation, and US stocks have experienced anomalies in recent years. Despite rising interest rates in 2023, the S&P 500 enjoyed significant gains, and high inflation did not dampen stock market enthusiasm. This paper delves into these anomalies, exploring potential explanations and their implications for understanding asset valuation dynamics.
Enhancing Cybersecurity in Large Manufacturing Enterprises: A Strategic Approach to Protecting Operational Technology Systems
Authors:   Cybersecurity Solution Engineering and Customer Success, SDG Corporation, Ramakrishnan Shanmugavelan , Das Rajat Suvra ,   Senior Director, Business Development, L&T Technology Services
Published: April 2024

In the transformative landscape of Industry 4.0, the robustness of cybersecurity measures for Operational Technology (OT) systems within expansive manufacturing enterprises emerges as a paramount concern.
Impact of Machine Overhauls on the Breakdowns in the Manufacturing Industry
Authors:   USA, Shaurya Animek
Published: April 2024

This study focuses on a new maintenance strategy called Machine overhaul, which uses the concepts of Reliability Centered Maintenance and how it is different from other traditional maintenance strategies that various manufacturing companies use to improve machine reliability and increase productivity by creating opportunities for longer production runs without suffering from breakdowns through performing minimal periodic maintenance activities and reducing overall cost. The framework of this study addresses the development of this strategy by working with different Original Equipment Manufacturers as they are the subject matter experts in their respective fields and how it is planned and executed by the Maintenance team in an organization. It helps the management and leadership team of an organization to make decisions using the data-driven approach through analysis and comparison of the impact of this strategy against traditional ones to improve reliability and productivity to achieve organizational objectives every year.
Use of Feeder Tanks and Self-Cleaning Nozzles for Glue Systems to Maximize Productivity and Reduce Downtime in the Packaging Industry
Authors:   New Jersey, USA, Shaurya Animek
Published: April 2024

In the overall packaging sector, whether it is for the food or beverage industry, apparel industry, or retail industry, the goal is to deliver high-quality untampered products to consumers by ensuring that the package is intact and remains secure during production, transportation from the production line to a warehouse or from warehouse to distribution centers. To deliver products at this highest level of quality, any packaging company must research and select the best glue/adhesive system available in the market for their production lines. In this theoretical paper, we review the technologies available in the field of glue systems and the challenges faced by the companies that lead to production loss, higher operational costs, recall, and reworks. The study aims to perform a root cause analysis of the issues faced, like missing beads of glue on the packages and blockage of nozzles, to provide solutions using the new technology of using a feeder tank fill system for glue units and the use of self-cleaning nozzles to eliminate them. This paper also illustrates the advantages of utilizing this new technology and its impact on production lines.
Overcoming Barriers: Strategies for Accelerating Adoption of Renewable Energy Technologies for Net Zero Goal
Authors:   Energy Group, Grumman Butkus Associates, Evanston, Illinois, USA, Sharma Vibhu
Published: April 2024

This paper identifies and analyzes the various barriers hindering the widespread adoption of renewable energy technologies, which are crucial for achieving the global net zero goal.
The Factors that Trigger the Chinese Youth Participation in Secondary Crisis Communication
Authors: Win Nie Siut , Subramaniam Tilagavati , Murthi Shamanee
Published: April 2024

In today’s generation, there are billions of individuals around the globe who tend to use social media daily to stay connected with information around the world. Therefore, social media has indirectly increased the online participation and communication of audiences. Thus, social media has become a platform that enables organisations to communicate with the public efficiently. Nevertheless, social media has brought severe impacts to the organisations because it has provided a platform for the public to become more active in joining the discussion about the crises and resulting in negative coverage in the media and financial loss. Consumer boundaries have become invisible and communication has become increasingly instantaneous, power has shifted from the organisations to the consumers. As a result, consumer-generated content and media play an important role in shaping the existing market. Therefore, the objective of this study is to identify the factors that trigger the Chinese youth’s participation in secondary crisis communication (SCC). Furthermore, it also examines the frequency of Chinese youth participation in SCC. The respondents are Chinese youth within the age group of 15 to 30 years old in Ipoh Perak. 100 respondents have participated in this research. This study is conducted by using a quantitative research approach with a survey questionnaire method and a purposive sampling method. The data was analysed by using Statistical Package for the Social Sciences (SPSS). The findings revealed that all variables (brand loyalty, popularity of brand, and personal fame) are the factors that trigger the Chinese youth participation in SCC.
Activists in the Data Stream
Authors: Mattoni Alice , Ceccobelli Diego
Published: April 2024

Available Open Access digitally under CC-BY-ND licence This book pulls back the curtain on the link between technology and activism. It explores the intricate ways activists from Italy, Spain and Greece interact with data on a day-to-day basis and shows how they navigate the impact of digital media on today’s grassroots politics. It is an invaluable contribution to our understanding of how modern politics' deep media integration reshape social movements and contemporary political landscapes.
Editorial
Authors: Piedimonte Fabián César
Published: April 2024

Estimados colegas, amigos, lectores de NeuroTarget:

Este número inicia con la fascinante y atrapante historia de vida en lo personal y profesional del Dr. George Udvarhelyi, neurocirujano de origen húngaro que se desempeñó en nuestro país entre los años 1948 y 1952.Estuvo involucrado en el ambiente de la neurocirugía funcional y estereotaxia durante este período, participando nada más y nada menos que en el procedimiento de lobotomía pre frontal con fines antálgicos, realizado a la primera dama Eva Duarte de Perón en el año 1952.
Homenaje a George B. Udvarhelyi (1920-2010)
Authors: Nijensohn Daniel E. , Laws Jr. Edward R. , Savastano Luis E.
Published: April 2024

La República Argentina, prometedora tierra de libertad y oportunidades, ha sido tradicionalmente un país receptor de población migrante. Sin embargo, en la segunda mitad del siglo XX el país fue testigo de la emigración de profesionales altamente capacitados, entre los cuales figuraba un selecto grupo de médicos que luego descollaron en el extranjero como neurocirujanos. En otros casos, algunos médicos que inmigraron a Argentina permanecieron solamente unos años en el país, tras los cuales emigraron en búsqueda de otros horizontes. Si bien sus estadías fueron transitorias, las mismas marcaron sus vidas personales y profesionales y les permitieron participar como testigos y/o protagonistas de hechos históricos relevantes para el país. Tal es el caso del doctor George B. Udvarhelyi quien, nacido en Hungría y habiendo ejercido su profesión mayormente en Norteamérica, tiene una fuerte vinculación con la Neurocirugía e historia argentinas, como hemos publicado recientemente en la revista Neurotarget bajo el título «Nuevos aportes sobre el tratamiento neuroquirúrgico del dolor, ansiedad y agitación en el caso médico de Eva Perón. Neurocirugía funcional antálgica en 1952». En este marco, el presente estudio se dedica específicamente a la biografía de George B. Udvarhelyi, con un especial énfasis en sus años «argentinos» y sus aportes a la Neurocirugía Funcional. Deseamos que la presente reseña biográfica contribuya a enriquecer la historia de la Medicina argentina y complemente los artículos publicados en la Revista Argentina de Neurocirugía sobre la «Historia de los neurocirujanos argentinos en el mundo».
Gêneros orais
Authors: Belarmino da Silva Elissandra , Gonçalves de Deus Kátia Regina , Da Silva Adelino Francisca Janete
Published: April 2024

O domínio de diferentes gêneros orais tem função importante para a construção de boas relações sociais, bem como para a atuação dos indivíduos nos diversos processos comunicativos, como trabalhar e estudar, por exemplo. Assim, o domínio da linguagem oral torna-se indispensável, tanto na vida acadêmica, quanto profissional dos discentes e futuros Secretários(as) Executivos, visto isso, presente artigo tem como objetivo geral analisar a perspectiva dos docentes do curso de Secretariado Executivo Bilíngue da Universidade Federal da Paraíba – Campus IV, sobre a utilização dos gêneros orais em sala de aula como instrumento de avaliação. Em termos metodológicos, trata-se de um estudo cuja abordagem é quanti-quali, do tipo exploratória. Os dados foram coletados por meio de um questionário, o qual foi aplicado com os docentes atuantes no período 2021.1. Os resultados obtidos demonstram que os gêneros orais mais agenciamento são: seminários, debates, exposição oral, roda de discussões e diálogos argumentativos; assim, a partir das informações obtidas na pesquisa, constatou-se que a maioria dos docentes costumam solicitar a produção dos gêneros orais em sala de aula, como instrumento avaliativo, contribuindo para que os alunos do Curso consigam desenvolver atividades que envolvam a realização e elaboração de gêneros orais durante a realização da graduação.
АНАЛИЗ ЭФФЕКТИВНОСТИ НЕЙРОННЫХ СЕТЕЙ ПО РАСПОЗНАВАНИЮ ЧЕЛОВЕЧЕСКОГО ГОЛОСА
Authors:   НАО «КазНИТУ имени К.И. Сатпаева», Алматы, Казахстан, Ахмедиярова Айнур , Нурланкызы Айгуль ,   НАО «Алматинский университет энергетики и связи имени Гумарбека Даукеева»,  Алматы, Казахстан, Кулакаева Айгуль ,   Международный университет информационных технологий, Алматы, Казахстан, Медетов Бекболат
Published: April 2024

В рамках существующих систем, используемых в настоящее время в телекоммуникационных системах и средствах мобильной связи для автоматического определения активности голоса во время разговора абонентов невозможно существенно снизить объем передаваемых данных во время молчания или пауз. Для повышения эффективности таких систем необходимо использовать различные современные телекоммуникационные системы, основанные на искусственном интеллекте. В данной статье анализируется эффективность использования искусственных нейронных сетей в современных технологиях по распознаванию человеческого голоса. Представлены результаты исследования, направленного на сравнение эффективности различных нейронных сетей в распознавании человеческого голоса на казахском языке. Проведен анализ точности распознавания голоса с использованием различных нейронных сетей для различного количества дикторов. Полученные результаты показывают, что нейронная сеть CNN демонстрирует небольшое, но значимое преимущество в точности распознавания голоса на казахском языке по сравнению с другими. Также отмечено, что точность распознавания голоса с помощью нейронных сетей может сильно варьироваться в зависимости от разнообразия голосов, использованных при обучении. Такой анализ позволяет лучше понять влияние разнообразия обучающих данных на точность нейронных сетей, что является важным возможным направлением для будущих исследований. Полученные результаты в рамках данной работы могут быть полезны для специалистов в области технологий распознавания речи и машинного обучения.
РАЗРАБОТКА ПРОГРАММНОЙ РЕАЛИЗАЦИИ МНОГОУРОВНЕВОЙ КРИПТОСИСТЕМЫ В СРЕДЕ PYTHON ДЛЯ ОБЕСПЕЧЕНИЯ СЕТЕВОЙ БЕЗОПАСНОСТИ IP PBX ASTERISK
Authors:   НАО «Алматинский университет энергетики и связи имени Гумарбека Даукеева», Алматы, Казахстан, Якубова Муборок , Мананкова Ольга ,   Международный университет информационных технологий, Алматы, Казахстан
Published: April 2024

Защита информации по сети IP с применением PBX Asterisk является критически важной задачей, так как необходимо обеспечить безопасность голосовой связи (в том числе конфиденциальных бизнес-разговоров), коммуникаций и данных. С учетом появления все более сложных киберугроз и технических возможностей злоумышленников обеспечение безопасности информации, передаваемой с использованием IP PBX, становится все более актуальным. IP PBX Asterisk — это широко используемая коммуникационная платформа с открытым исходным кодом, что делает ее уязвимой к различным угрозам безопасности, включая прослушивание и несанкционированный доступ. Чтобы решить эти проблемы, данное исследование сосредоточено на интеграции алгоритма шифрования RSA со стеганографией для создания новой криптосистемы, которую можно использовать в сетях Asterisk. В публикации разработана программная реализация стегосистемы, которая использует RSA для безопасного обмена ключами и стеганографию на основе LSB для внедрения зашифрованных данных в контейнеры, обеспечивая дополнительный уровень безопасности. Зашифровывая конфиденциальные данные и скрывая их в стегоконтейнер, позволяет предотвратить несанкционированный доступ и попытки подслушивания. Данный инновационный подход повышает безопасность сетей IP PBX Asterisk, делая их более устойчивыми к различным угрозам безопасности.
HEMORRAGIA SUBARACNOIDEIA E SÍNDROME DE TAKOTSUBO
Authors: Nejo Júnior Ricardo , Garcês Rui Caetano , Fernandes Ana Margarida , Santos Ana Valente , Bento Luís Filipe Nunes
Published: April 2024

A hemorragia subaracnoideia (HSA) pode cursar com manifestações cardiovasculares, sendo importante o estar alerta e ser capaz de fazer um  diagnóstico diferencial. A cardiomiopatia de Takotsubo é uma entidade a ser considerada, já que, a sua apresentação clínica e achados eletrocardiográficos se assemelham à do síndrome coronário agudo (SCA), estando normalmente, associada a uma menor morbilidade e mortalidade. Quando associado a alterações neurológicas o diagnóstico diferencial é mais dificil. São descritos dois casos clínicos de doentes do sexo feminino, cuja apresentação e estudo etiológico inicial levou ao diagnóstico presuntivo de SCA. O diagnóstico de HSA surge posteriormente aquando da reavaliação clínica dos doentes com foco na  alteração do estado consciência.  Os casos relatados alertam para a relevância da apresentação atípica da HSA e para o correto diagnóstico e acompanhamento por parte do corpo clínico responsável pelo doente crítico.
São descritos dois casos clínicos de doentes do sexo feminino, cuja apresentação e estudo etiológico inicial levou ao diagnóstico presuntivo de SCA. O diagnóstico de HSA surge posteriormente aquando da reavaliação clínica dos doentes com foco na  alteração do estado consciência.
Os casos relatados alertam para a relevância da apresentação atípica da HSA e para o correto diagnóstico e acompanhamento por parte do corpo clínico responsável pelo doente crítico.
The Cluster spacecraft's view of the motion of the high-latitude magnetopause
Authors: Grimmich Niklas , Plaschke Ferdinand , Grison Benjamin , Prencipe Fabio , Escoubet Christophe Philippe , Archer Martin Owain , Constantinescu Ovidiu Dragos , Haaland Stein , Nakamura Rumi , Sibeck David Gary , Darrouzet Fabien , Hayosh Mykhaylo , Maggiolo Romain
Published: April 2024

Abstract. The boundary between the interplanetary magnetic field and the terrestrial magnetic field is the magnetopause. This magnetopause is influenced by dynamic changes in the solar wind, that is different solar wind conditions lead to a change in the shape and location of the magnetopause. The interaction between the solar wind and the magnetosphere can be studied from in-situ spacecraft observations. Many studies focus on the equatorial plane, as this is where recent spacecraft constellations such as THEMIS or MMS operate. However, to fully capture the interaction, it is important to study the high latitude regions as well. The Cluster spacecraft allow us to collect a dataset of high-latitude magnetopause crossings and study magnetopause motion in this region, as well as deviations from established magnetopause models. We use multi-spacecraft analysis tools to investigate the direction of magnetopause motion in the high latitudes and compare the occurrence of crossings at different locations with the result in the equatorial plane. We find that the high-latitude magnetopause motion is generally consistent with previously reported values and seems to be more often associated with a closed magnetopause boundary. We show that on average the magnetopause moves faster inwards than outwards. Furthermore, the occurrence of magnetopause positions beyond those predicted by the Shue et al. (1998) model at high latitudes is found to be caused by the similar solar wind parameters as in the equatorial plane. Finally, we highlight the importance of the dipole tilt angle at high latitudes. Our results may be useful for the interpretation of plasma measurements from the upcoming SMILE mission (Branduardi-Raymont et al., 2018), as this spacecraft will also fly frequently through the high-latitude magnetopause.
Massive mobilization of toxic elements from an intact rock glacier in the Central Eastern Alps: insights into ice melt dynamics
Authors: Moradi Hoda , Furrer Gerhard , Margreth Michael , Mair David , Wanner Christoph
Published: April 2024

Abstract. In the Central Eastern Alps, an increasing number of high-altitude streams display high concentrations of toxic solutes such as Al, F-, Mn, and Ni that may strongly exceed drinking water limits. Previous studies have shown that these elements are mobilized from rock glaciers occurring at the origin of the streams. This is caused by the weathering of pyrite producing sulfuric acid and therefore promoting the leaching of these elements from the crystalline host rocks. After mobilization, the elements are temporally stored and enriched in the rock glacier ice. Today, the climate-change-induced accelerated melting of rock glaciers thus leads to a quick and focused export in summer when ice melt export rates are high. The temporal storage of mobilized elements in the rock glacier ice opens up the opportunity to use the strong chemical signal in the streams to track rock glacier melt dynamics and to identify the governing processes controlling the export of ice melt. To test this and to assess the consequences of accelerated rock glacier melt on streamwater quality, here we present a two-year dataset (2021, 2022) of monitoring a high-alpine stream originating from an intact rock glacier located in Eastern Switzerland. The monitoring includes monthly sampling and discharge measurements at the rock glacier outlet, as well as continuous tracking of the geogenic fluxes of toxic solutes using a pressure and conductivity probe. Our monitoring revealed high annual fluxes with strong seasonal variation, whereby the fluxes were highest during the warm summer months. In 2021, the annual fluxes were up to several tons each, which is remarkable given that the area of the rock glacier covers only about 40’000 m2. Interestingly, in 2022 the fluxes were about 30 % lower despite the record-high summer temperatures. A similar difference was observed for the annual discharge recorded for the two years. This suggests that the export of both ice melt and toxic solutes are strongly controlled by the amount of water from snowmelt and precipitation infiltrating into the rock glacier system. The dry weather and low discharge rates in 2022 thus likely lead to lower export rates compared to 2021, when snow height and precipitation rates were above average. Nevertheless, in both monitoring years the degradation of the rock glacier significantly contributed to the discharge of the downhill stream. Based on these aspects, we present conceptual models for accumulation of toxic solutes in rock glacier ice well as for their water driven mobilization during accelerated rock glacier degradation. Finally, we argue that monitoring solute fluxes exported from rock glaciers is a promising future research direction for obtaining more reliable estimates of the amount of ice melt exported from rock glaciers.
CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data
Authors: Li Changming , Liu Ziwei , Yang Wencong , Tu Zhuoyi , Han Juntai , Li Sien , Yang Hanbo
Published: April 2024

Abstract. Land evapotranspiration (ET) plays a crucial role in Earth's water–carbon cycle, and accurately estimating global land ET is vital for advancing our understanding of land–atmosphere interactions. Despite the development of numerous ET products in recent decades, widely used products still possess inherent uncertainties arising from using different forcing inputs and imperfect model parameterizations. Furthermore, the lack of sufficient global in situ observations makes direct evaluation of ET products impractical, impeding their utilization and assimilation. Therefore, establishing a reliable global benchmark dataset and exploring evaluation methodologies for ET products is paramount. This study aims to address these challenges by (1) proposing a collocation-based method that considers non-zero error cross-correlation for merging multi-source data and (2) employing this merging method to generate a long-term daily global ET product at resolutions of 0.1° (2000–2020) and 0.25° (1980–2022), incorporating inputs from ERA5L, FluxCom, PMLv2, GLDAS, and GLEAM. The resulting product is the Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data (CAMELE). CAMELE exhibits promising performance across various vegetation coverage types, as validated against in situ observations. The evaluation process yielded Pearson correlation coefficients (R) of 0.63 and 0.65, root-mean-square errors (RMSEs) of 0.81 and 0.73 mm d−1, unbiased root-mean-square errors (ubRMSEs) of 1.20 and 1.04 mm d−1, mean absolute errors (MAEs) of 0.81 and 0.73 mm d−1, and Kling–Gupta efficiencies (KGEs) of 0.60 and 0.65 on average at resolutions of 0.1 and 0.25°, respectively. In addition, comparisons indicate that CAMELE can effectively characterize the multiyear linear trend, mean average, and extreme values of ET. However, it exhibits a tendency to overestimate seasonality. In summary, we propose a reliable set of ET data that can aid in understanding the variations in the water cycle and has the potential to serve as a benchmark for various applications. The dataset is publicly available at https://doi.org/10.5281/zenodo.8047038 (Li et al., 2023b).
Continental-scale bias-corrected climate and hydrological projections for Australia
Authors: Peter Justin , Vogel Elisabeth , Sharples Wendy , Bende-Michl Ulrike , Wilson Louise , Hope Pandora , Dowdy Andrew , Kociuba Greg , Srikanthan Sri , Duong Vi Co , Roussis Jake , Matic Vjekoslav , Khan Zaved , Oke Alison , Turner Margot , Baron-Hay Stuart , Johnson Fiona , Mehrotra Raj , Sharma Ashish , Thatcher Marcus , Azarvinand Ali , Thomas Steven , Boschat Ghyslaine , Donnelly Chantal , Argent Robert
Published: April 2024

Abstract. The Australian Bureau of Meteorology has developed a national hydrological projections (NHP) service for Australia. The NHP aimed to provide nationally consistent hydrological projections across jurisdictional boundaries to support planning of water-dependent industries. NHP is complementary to those previously produced by federal and state governments, universities, and other organisations for limited geographical domains. The projections comprise an ensemble of application-ready bias-corrected climate model data, derived hydrological projections at daily temporal and 0.05° × 0.05° spatial resolution for the period 1960–2099, and two emission scenarios (Representative Concentration Pathway (RCP) 4.5 and RCP8.5). The spatial resolution of the projections matches that of gridded historical reference data used to perform the bias correction and the Bureau of Meteorology's operational gridded hydrological model. Three bias correction techniques were applied to four CMIP5 global climate models (GCMs), and one method was applied to a regional climate model (RCM) forced by the same four GCMs, resulting in a 16-member ensemble of bias-corrected GCM data for each emission scenario. The bias correction was applied to fields of precipitation, minimum and maximum temperature, downwelling shortwave radiation, and surface winds. These variables are required inputs to the Bureau of Meteorology's landscape water balance hydrological model (AWRA-L), which was forced using the bias-corrected GCM and RCM data to produce a 16-member ensemble of hydrological output. The hydrological output variables include root zone soil moisture (moisture in the top 1 m soil layer), potential evapotranspiration, and runoff. Here we present an overview of the production of the hydrological projections, including GCM selection, bias correction methods and their evaluation, technical aspects of their implementation, and examples of analysis performed to construct the NHP service. The data are publicly available on the National Computing Infrastructure (https://doi.org/10.25914/6130680dc5a51, Bureau of Meteorology, 2021), and a user interface is accessible at https://awo.bom.gov.au/products/projection/ (last access: 24 November 2023).