bluuebunny/crossref_metadata_2025 huggingface dataset:
As fontes históricas para a educação: verdades na escrita da história
Authors: Lima Perci Cristina Klug
Published: March 2024

A nova história cultural privilegiou o historiador com uma diversidade de fontes, as quais auxiliam e complementam a investigação e a escrita da história. Este artigo busca demonstrar uma parte deste manejo por parte do historiador, que busca respostas aos seus questionamentos. A fundamentação teórica dialoga com os conceitos de autores importantes, como Burke e Kossoy (fontes imagéticas), Rüsen (racionalidade histórica), Julia e Chartier (fontes, cultura material escolar), Farge (fontes orais) e Chartier (tempo presente) que contribuíram para a mudança no discurso historiográfico e o conceito de cultura, que na história cultural trata das representações sociais, das práticas culturais e do processo de apropriação, áreas em que a participação dos sujeitos que as vivenciam é visto como fundamental. As fontes mostram-se sensíveis e delicadas, cabendo ao pesquisador tratar o excesso, a anomalia, reelaborando os sentidos ao transcrever a história da educação. Foi essa diversidade de fontes empregadas em pesquisas recentes que possibilitou perceber a articulação, manejo e a interpretação de imagens, documentos oficias e não oficiais, cartas, bilhetes, escritos, publicidade e artigos de jornais, mobiliário, edificações entre tantos outros em que a História Cultural propiciou a ampliação do olhar como fontes relevantes para a construção de uma escrita da História da Educação.
INTEGRATING ARTIFICIAL INTELLIGENCE IN PERSONALIZED INSURANCE PRODUCTS: A PATHWAY TO ENHANCED CUSTOMER ENGAGEMENT
Authors: Omotayo Bukola Adeoye  , Chinwe Chinazo Okoye  , Onyeka Chrisanctus Ofodile  , Olubusola Odeyemi  , Wilhelmina Afua Addy  , Adeola Olusola Ajayi-Nifise
Published: March 2024

The integration of Artificial Intelligence (AI) in the insurance sector has ushered in a new era of personalized insurance products, offering enhanced customer engagement and satisfaction. This review explores the transformative potential of AI in reshaping the landscape of insurance services, focusing specifically on the augmentation of customer engagement through personalized offerings. AI-driven algorithms and machine learning techniques enable insurers to analyze vast amounts of data with unprecedented speed and accuracy, facilitating the customization of insurance products to meet individual customer needs. By leveraging data from various sources such as IoT devices, social media, and historical claims data, insurers can gain deeper insights into customer behavior, preferences, and risk profiles. Personalized insurance products not only cater to the unique requirements of customers but also foster greater engagement by offering tailored recommendations, proactive risk management solutions, and real-time assistance. Through predictive analytics, AI algorithms can anticipate customer needs and preferences, allowing insurers to offer timely and relevant services, thereby enhancing customer satisfaction and loyalty. Moreover, AI-powered chatbots and virtual assistants serve as accessible and responsive touchpoints for customers, providing instant support, guidance, and personalized recommendations throughout the insurance lifecycle. By streamlining communication channels and offering seamless interactions, AI technologies strengthen the bond between insurers and customers, fostering long-term relationships built on trust and transparency. The integration of AI in personalized insurance products represents a transformative pathway towards enhanced customer engagement. By harnessing the power of AI-driven analytics and automation, insurers can deliver tailor-made solutions that resonate with individual customers, driving higher levels of satisfaction, loyalty, and ultimately, business growth.

Keywords: Artificial Intelligence, Insurance, Privacy-Enhanced, Customer, Engagement, Review.
PROJECT MANAGEMENT STRATEGIES FOR ACCELERATING ENERGY EFFICIENCY IN HVAC SYSTEMS AMIDST CLIMATE CHANGE
Authors: Wisdom Ebirim  , Nwakamma Ninduwezuor-Ehiobu  , Favour Oluwadamilare Usman  , Kehinde Andrew Olu-lawal  , Emmanuel Chigozie Ani  , Danny Jose Portillo Montero
Published: March 2024

Amidst the escalating impacts of climate change, optimizing energy efficiency in Heating, Ventilation, and Air Conditioning (HVAC) systems emerges as a critical imperative. This review explores project management strategies aimed at accelerating energy efficiency in HVAC systems amidst climate change challenges. In response to climate change, the urgency to mitigate energy consumption in HVAC systems has intensified. Project management plays a pivotal role in orchestrating systematic approaches to address this challenge. Firstly, effective project management entails comprehensive planning. This involves conducting thorough energy audits and assessments to identify inefficiencies and prioritize improvement opportunities. Utilizing advanced technologies such as Building Energy Management Systems (BEMS) can enhance data collection and analysis for informed decision-making. Secondly, stakeholder engagement is essential for successful project implementation. Collaboration between building owners, facility managers, engineers, and contractors facilitates alignment of goals and resources. Clear communication channels and regular progress updates foster accountability and momentum throughout the project lifecycle. Thirdly, project management methodologies like Agile or Lean can streamline HVAC efficiency initiatives. Iterative development allows for continuous improvement, enabling teams to adapt to evolving requirements and incorporate feedback effectively. Moreover, risk management strategies are vital to anticipate and mitigate potential obstacles. Contingency plans for supply chain disruptions, regulatory changes, and unforeseen technical challenges ensure project resilience and minimize disruptions. Lastly, monitoring and evaluation mechanisms are indispensable for tracking project performance and verifying energy savings. Utilizing Key Performance Indicators (KPIs) and performance benchmarks enables stakeholders to measure success and adjust strategies as needed. Effective project management strategies are indispensable for accelerating energy efficiency in HVAC systems amidst climate change. By emphasizing comprehensive planning, stakeholder engagement, agile methodologies, risk management, and continuous evaluation, organizations can navigate challenges and realize substantial energy savings in HVAC operations.

Keywords: Project Management, HVAC, Climate Change, Energy, Efficiency, Review.
MARKET EXPANSION AND COMPETITIVE POSITIONING IN SATELLITE TELECOMMUNICATIONS: A REVIEW OF ANALYTICS-DRIVEN STRATEGIES WITHIN THE GLOBAL LANDSCAPE
Authors: Nneka Adaobi Ochuba  , Olukunle Oladipupo Amoo  , Olatunji Akinrinola  , Favour Oluwadamilare Usman  , Enyinaya Stefano Okafor
Published: March 2024

Market expansion and competitive positioning are paramount in the dynamic landscape of satellite telecommunications. This review explores the role of analytics-driven strategies in achieving these objectives on a global scale. Satellite telecommunications providers face intense competition, technological advancements, and evolving customer expectations, necessitating innovative approaches to gain a competitive edge. Analytics plays a crucial role in understanding market trends, consumer behavior, and competitor strategies. By leveraging advanced analytics techniques, companies can uncover actionable insights to inform strategic decision-making. One key area where analytics is instrumental is in identifying untapped market opportunities. Through data analysis, companies can pinpoint underserved regions or niche markets, enabling targeted expansion efforts. Moreover, analytics enables companies to optimize their service offerings and pricing strategies. By analyzing customer preferences, usage patterns, and market dynamics, companies can tailor their offerings to meet specific customer needs. This personalized approach not only enhances customer satisfaction but also improves profitability. Analytics also plays a vital role in enhancing operational efficiency. By analyzing data from satellite networks, companies can identify potential bottlenecks, optimize resource allocation, and improve overall network performance. This not only reduces operational costs but also enhances service reliability and quality. Furthermore, analytics-driven strategies are instrumental in competitive positioning. By analyzing competitor performance, market trends, and customer feedback, companies can identify areas where they can differentiate themselves. This could include offering innovative services, improving customer support, or enhancing network coverage. In conclusion, analytics-driven strategies are crucial for satellite telecommunications companies looking to expand their market presence and enhance their competitive positioning. By leveraging data analytics, companies can uncover valuable insights that inform strategic decision-making, optimize operations, and drive innovation. In an increasingly competitive landscape, the ability to harness the power of analytics is key to long-term success in the satellite telecommunications industry.

Keywords: Market Expansion, Competitive, Positioning, Satellite, Communications.
ENHANCING CUSTOMER SERVICE IN SATELLITE TELECOMMUNICATIONS: A REVIEW OF DATA-DRIVEN INSIGHTS AND METHODOLOGIES FOR PERSONALIZED SERVICE OFFERINGS
Authors: Nneka Adaobi Ochuba  , Enyinaya Stefano Okafor  , Olatunji Akinrinola  , Olukunle Oladipupo Amoo  , Favour Oluwadamilare Usman
Published: March 2024

Enhancing customer service in satellite telecommunications is a critical focus area for companies seeking to differentiate themselves in a competitive market. This Review reviews data-driven insights and methodologies aimed at delivering personalized service offerings to satellite telecommunications customers. Personalized service offerings leverage data analytics to tailor services to individual customer needs and preferences. By analyzing customer data, such as usage patterns, service history, and feedback, satellite telecommunications companies can gain valuable insights into customer behavior and preferences. These insights enable companies to offer customized services that meet the specific needs of each customer. Data-driven insights play a crucial role in enhancing customer service in satellite telecommunications. By analyzing customer data, companies can identify trends and patterns that help them understand customer needs and preferences better. This understanding enables companies to develop personalized service offerings that resonate with customers and drive customer satisfaction and loyalty. Methodologies for delivering personalized service offerings in satellite telecommunications include predictive analytics, machine learning, and artificial intelligence. Predictive analytics enables companies to forecast customer behavior and anticipate future needs, allowing them to proactively address customer needs. Machine learning algorithms can analyze large volumes of customer data to identify patterns and trends that would be difficult for humans to detect. Artificial intelligence can enhance customer service by enabling companies to automate processes and provide personalized recommendations to customers. In conclusion, enhancing customer service in satellite telecommunications requires a data-driven approach that leverages insights and methodologies to deliver personalized service offerings. By analyzing customer data and using advanced analytics and AI technologies, satellite telecommunications companies can tailor services to individual customer needs and preferences, driving customer satisfaction and loyalty.

Keywords: Customer Service, Satellite, Telecommunications, Data-driven, Service Offerings.
Downward Coupling of Sudden Stratospheric Warmings: Important Role of Synoptic-Scale Waves Demonstrated by ERA5 Reanalysis
Authors: Rahm Tabea , Pilch Kedzierski Robin , Hänsch Martje , Matthes Katja
Published: March 2024

Abstract. Circulation anomalies accompanying Sudden Stratospheric Warmings (SSWs) can have a significant impact on the troposphere. This surface response is observed for some but not all SSWs, and their downward coupling is not fully understood. We use an existing classification method to separate downward- and non-propagating SSWs (d/nSSWs) in ERA5 reanalysis data for the years 1979–2019. The differences in SSW downward propagation in composites of spatial patterns clearly show that dSSWs dominate the surface regional impacts following SSWs. During dSSWs, the upper-tropospheric jet stream is significantly displaced equatorward. Wave activity analysis shows remarkable differences between d/nSSWs for planetary and synoptic-scale waves. Enhanced stratospheric planetary eddy kinetic energy (EKE) and heat fluxes around the central date of dSSWs are followed by increased synoptic-scale wave activity and even surface coupling for synoptic-scale EKE. An observed significant reduction in upper-tropospheric synoptic-scale momentum fluxes following dSSWs confirms the important role of tropospheric eddy feedbacks for coupling to the surface. Our findings emphasize the role of the lower stratosphere and synoptic-scale waves in coupling the SSW signal to the surface and agree with mechanisms suggested in earlier modeling studies.
Intra-seasonal variability of temporal clustering of European winter windstorms
Authors: Feltz Sophie , Leckebusch Gregor C. , Ng Kelvin S. , Kruschke Tim
Published: March 2024

Severe European winter windstorms are one of the most damaging natural hazards and thus a major threat to societies. Clustered European winter windstorms, storms that occur in quick succession over a specific period of time over a fixed location, can result in amplified structural and environmental damage and accumulated losses. Yet, variability of storm clustering on intra-seasonal timescales has not been fully investigated. We analyse winters (DJF) for the period 1981-2016 from ERA5 reanalysis, where tracks and storm impact footprints are identified through the impact-oriented wind-based tracking algorithm WiTRACK.  We quantify the magnitude of clustering using the widely employed dispersion statistic as used in Mailier et al. (2006). The spatial distribution of clustering on 45- and 30-day timescales as well as the time development of clustering on even shorter 30-, 20-, 15- and 11-days reference periods are investigated. Thus, in a seamless approach from seasonal to synoptic clustering. Results from both windstorm clustering of tracks and the storm footprints will be presented. Preliminary findings suggest an increase in clustering occurrence in the later half of the winter season on 45- and 30-day timescales.  On shorter timescales (
Detection and classification of near-surface buried objects in GPR images with deep learning-based Faster R-CNN and YOLOv5 methods
Authors: Apaydın Orhan , İşseven Turgay
Published: March 2024

In this study, the detection of buried objects in GPR images using the deep learning-based Faster R-CNN and YOLOv5 methods and their classification according to their geometric shapes are investigated. Buried objects in the near surface may have different geometric shapes. Such objects can be imaged using Ground Penetrating Radar (GPR). As research materials, a rectangular prism-shaped aluminum-coated box and a cylindrical rod are used for laboratory measurements. A simulated underground model has been created in a laboratory environment, and GPR measurements have been performed. A radar device is designed for measurements using a Vector Network Analyzer (VNA) and a Vivaldi antenna pair. The scenarios for the measurements in the laboratory environment are modeled in the gprMax program, and synthetic GPR images are generated. The dataset consists of both actual measurements and synthetic data. Deep learning-based Faster R-CNN and YOLOv5 methods are popular techniques used for object detection in images. The GPR images used for training in these methods are augmented by using flipping and resizing techniques, and the dataset is expanded. Subsequently, hyperbolic structures of objects in GPR images are labeled as "rectangular" and "cylindrical" based on their geometric shapes. The training process is then carried out using these methods, resulting in the detection of buried objects in GPR images with high accuracy and classification based on their geometric shapes as "rectangular" and "cylindrical". The performances of the two different methods are compared, revealing that Faster R-CNN achieved higher accuracy, while the YOLOv5 method exhibited faster detection.
PENGARUH KONTEN REVIEW BUKU TERHADAP MINAT BACA PADA FOLLOWERS TIKTOK MEISYA SALLWA
Authors: Situmorang Krisnawati br , Christin Maylanny
Published: March 2024

Menurut data UNESCO (Devega, 2017), minat membaca masyarakat Indonesia saat ini tergolong sangat rendah. Salah satu faktor yang mempengaruhi rendahnya minat membaca adalah munculnya media baru seperti platform Tiktok. Tiktok awalnya dianggap sebagai media hiburan semata. Namun, terdapat pihak-pihak yang mematahkan stigma tersebut dengan memberikan konten edukatif. Meisya Sallwa merupakan salah satu content creator Tiktok yang memberikan konten edukasi berupa konten review buku pengembangan diri. Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh konten review buku terhadap minat membaca followers Tiktok Meisya Sallwa. Penelitian ini menggunakan metode kuantitatif dengan membagikan kuesioner secara online melalui Instagram, Tiktok dan Whatsapp. Teknik analisis data yang digunakan pada penelitian ini adalah analisis deskriptif, uji normalitas, analisis regresi linear sederhana, uji koefisien korelasi, uji koefisien determinasi dan uji T. Berdasarkan hasil penelitian diperoleh hasil pengaruh konten review buku pengembangan diri sebesar 43,7% terhadap minat minat membaca sedangkan, sisanya dipengaruhi oleh faktor lain yang tidak diteliti dalam penelitian ini
User generated content and its influence on relationship marketing among Generation Z
Authors: Dr. Anand Deshmukh Dr. Tushar K. Savale, S Rahul, Dr. Amit A. Medhekar,
Published: March 2024

The post-millennial Generation Z, which was born into a technologically advanced society, is one of the most recent subjects in marketing. There are numerous companies with a wide range of products, and you are bombarded with advertisements from every direction. How then do you market to the most technologically advanced generation, whose focus is hard to get and who has higher expectations of you as a marketer than earlier generations? User generated material is one of the options you might consider (UGC).
Industry 4.0 and Indian Manufacturing Companies: Barriers towards sustainability
Authors: Dr. Alok Singh Chauhan Dr. Bhavna, , Dr. Mukta Makhija Dr Alka Agnihotri,
Published: March 2024

Industry 4.0 refers to the part of key enabling technologies which includes cyber-physical systems, the internet of things, artificial intelligence big data analytics, and digital twins. Major driving forces behind automated and digital manufacturing settings include these technologies(Castelo-Branco, 2019). Emphasizing sustainability as the cornerstone of business strategy and calling for smart manufacturing, energy-efficient construction, and low-impact industrialization led to the foundation of the United Nations (UN) Sustainability 2030 agenda. Industry 4.0 technology aids in making company processes more sustainable. Few research fields have reported on this technology as it is aimed at improving business sustainability through the innovation of manufacturing processes in different industries (Bag, 2018). These applications are used in a variety of cutting-edge technology to modernize assembly lines. The Internet of Things helps machines to create, process, and transmit data in real-time to both people and other machines, robots can operate independently or in conjunction with humans, manipulate task like grabbing and spinning through its programming and design. On one hand big data and analytics deals with enormous and unstructured data using business intelligence, machine learning and analytics software using cloud computing techniques. Material can be added to solid blocks rather than mechanically removed to create high quality physical items through additive manufacturing (Godina,2020). These technologies are utilized in Industry 4.0 to create cyber physical system that are applied on the production line (Bai, 2020). It supports several sustainability related subfields; advanced manufacturing solutions may be built around the networked systems. It reduces the time to market, improves manufacturing flexibility and make better use of resources (Beier, 2020).
The problem of cultural identity formation in the modern world. Theoretical aspects
Authors: Menshov A. V.
Published: March 2024

The article is devoted to theoretical problems of cultural identity. It is emphasized, that culture forms an individual, contributes to his socialization on the basis of mastering the language, values, norms, customs and traditions of his people. In accordance with the classification generally accepted in historiography, there are about 20 historical and cultural regions in the world, including the Eastern European province. The article provides a brief analysis of the process of formation of the traditional culture of the Eastern European province of Russia, the main carriers of the culture of which are the indigenous peoples of the Russians, Finno-Ugric peoples (Karels, Komi, Mordovians, Udmurts, etc.), Turkic-speaking peoples (Tatars, Chuvashs, Bashkirs) and etc. Russian culture was formed in difficult geographical, climatic and geopolitical conditions. Traditional Russian culture in the process of formation has gone through all stages of evolutionary development. Under the influence of cultural interaction, process of transformation of local and ethnic culture into a national one took place.
Sustainable reduction of sulfate contained in gypsum waste: perspectives and applications for agroforestry waste and sanitary sewage
Authors: Paiva Gilka Maria da Silva , Araujo Gleice Paula de , Lins Ivan Xavier , Cavalcanti Davi de Lima , Santos Leonardo Bandeira dos , Benachour Mohand , Santos Valdemir Alexandre dos
Published: March 2024

Este artigo de revisão aborda estratégias biotecnológicas sustentáveis para a conversão de compostos de sulfato e resíduos lignocelulósicos, com foco na utilização de bactérias redutoras de sulfato (BRS) e na valorização de resíduos agroflorestais e esgoto sanitário. As BRS demonstram potencial no tratamento de efluentes, drenagem de minas e remoção de sulfato e metais pesados de águas residuais, sendo sua atividade metabólica influenciada por fatores como pH, temperatura e relação demanda química de oxigênio/sulfato — DQO/SO4=. No contexto de uma bioeconomia sustentável, o desafio de converter resíduos lignocelulósicos em produtos de valor agregado é abordado por meio de técnicas de pré-tratamento físico, como moagem, extrusão, irradiação por micro-ondas e ultrassom, eficientes na valorização de resíduos de poda de árvores urbanas. O artigo destaca a importância dos biorreatores na transformação de matérias-primas em produtos bioquímicos, discutindo diferentes tipos de biorreatores, como batelada, tanque agitado contínuo, airlift, leito fluidizado, reator anaeróbio de fluxo ascendente (UASB) e coluna de bolhas, e suas vantagens e desvantagens específicas. A redução sustentável do sulfato é o foco central, integrando a aplicação de BRS e a conversão de resíduos lignocelulósicos de maneira a complementar os objetivos do trabalho e promover um fluxo mais coeso no resumo. Assim, enfatiza-se a inter-relação entre as estratégias de tratamento de efluentes e a valorização de resíduos em uma perspectiva de sustentabilidade ambiental, destacando-se a relevância deste estudo no contexto mais amplo de uma bioeconomia sustentável.
Discernment and relativity of moral codes
Authors: Gotia Stefana
Published: March 2024

In this article I will present an analysis of axiological anticipatory discernment, I will insist on some limits of particular moral codes and possible main lines of efficiency of moral codes, with permanent reference to a universal moral code. This reporting is a useful mechanism in the analysis and the way of discerning the current social dilemmas, because, for a good social functioning, it is necessary to have a deep understanding and responsible assumptions of the codes, contexts and ethical infrastructures to which we refer.
Novità e preziostà nel simbolismo dei dodici fondamenti della nuova Gerusalemme (Ap 21)
Authors: Faraoanu Iulian
Published: March 2024

The 12 foundations of the new Jerusalem are added to the 12 gates of the holy city which descends from heaven. The foundations are associated with the 12 apostles, a reference to the newssnes of the people of God. From a simbolic point of view, the foundations are 12 precious stones (Rev 21: 19-20). The precious stones were a sign of the eschatological restoration of the people of God. The same precious stones that abound in the new Jerusalem could create a contrast with the traffic of precious materials in Babylon (the Roman Empire). But the aspect on which we insist in Rev 21 is the preciousness of the people before God together with the exaltation of newsness. The new Jerusalem that will descend from heaven in eschatology is the new, perfect, unique, and unitary people of God, founded on the twelve apostles.
Climate change – a global problem with a global answer
Authors: Echert Michail Iulian
Published: March 2024

Climate change is characterized by a fundamental transformation of the terrestrial system. It involves a variety of effects upon many sectors that influence the climate. These effects have increased in numbers and intensity over the past decades. The irresponsible exploitation of natural resources and excessive pollution through industry contribute to disasters that have a great impact on the environment. In the context of climate change, the direction of international cooperation must be orientated towards a sharing of responsibility between countries, that are called to protect the natural climate system for the welfare of presents and future generations. Hence, the negotiations regarding climate changes must focus on equitability to create concrete conditions for just and proper action. A significative target of international cooperation is growing the capacity of developing states to recognize their responsibility for adaptation and attenuation of gas emissions. This support concretizes thorough developing adaptations strategies, national plans and actions and an openness for international collaboration: understanding the common responsibility, the industrialized countries are called to contribute through financial and technologic support helping emerging countries to fight against climate change. The solution to climate change lies in collaboration and solidarity, and Pope Francis also emphasizes this in his writings. An integral ecology is needed that does not separate the human from the natural plane, and this vision is one of the great contributions of the encyclical Laudato si’. Integral ecology is not just a moral principle, but a way of seeing and deepening the interdependence between man and nature.
Saúde Mental e o Contexto Universitário:
Authors: Alcântara Luiz Davi Fagundes de , Simon Carolina Russo , Guimarães Raul Borges
Published: March 2024

A juventude que ingressa na universidade brasileira é plural, composta não apenas pela elite masculina branca, mas também por mulheres, negros, LGBTQIAPN+, e pela classe trabalhadora, que frequentou o ensino público. Devido a essa diversidade estar presente nesse ambiente condicionado a uma singularidade, as trajetórias vivenciadas por esses jovens resultarão em implicações, especialmente no que diz respeito às questões de saúde mental. É em razão dessa problemática que o presente artigo se dedica, compreendendo a denominação de juventudes numa perspectiva interseccional vinculada à Pesquisa Qualitativa, esforçando-se para interpretar as trajetórias e experiências de estudantes cuja saúde mental é afetada na Faculdade de Ciências e Tecnologias da Universidade Estadual Paulista. Para isso, foram realizadas entrevistas semiestruturadas com os estudantes, em especial aqueles que fazem parte da Permanência Estudantil. Além disso, buscou-se destacar a importância das atividades culturais e de extensão vinculadas ao viés promocional de saúde mental na Universidade. Assim, a partir dos relatos, percebeu-se que a Universidade ainda precisa avançar nas políticas de acolhimento, assistência e permanência estudantil, bem como nos debates sobre saúde mental, que, embora sejam um tema presente, necessitam de uma ampliação, uma vez que, para alguns estudantes, falar sobre saúde mental ainda é algo desconhecido.
ANALISIS PENGGUNAAN OBAT PADA PASIEN DIABETES MELITUS DI PUSKESMAS GOGAGOMAN TAHUN 2022
Authors: Moh. Rasyid Kuna  , Mega Ananda  , Olganita Manika  , Tarisya Pobela
Published: March 2024

Diabetes Melitus (DM) merupakan adanya suatu gangguan metabolisme kronis ditunjukkan dengan kadar gula darah yang tinggi bersama gangguan metabolisme karbohidrat, lemak, dan protein. Gangguan tersebut sebagai akibat dari sel-sel tubuh yang kurang responsif terhadap insulin atau sel-sel beta Langerhans kelenjar pankreas yang menyebabkan berkurangnya produksi insulin. Metode penelitian non eksperimental dengan pendekatan deskriptif yang diambil secara Retrospektif. Menggunakan rangcangan penelitian total sampling. Kemudian dianalisis berdasarkan karakteristik pasien (usia, jenis kelamin, diagnosis) Data yang diperoleh dianalisis secara deskriptif kualitatif, kemudian data ditabulasikan dan hasil penelitian dapat dikaji ketepatan berdasarkan kriteria 4T (Tepat indikasi, Tepat pemilihan obat, Tepat Dosis, Tepat pasien). Hasil penelitian di Puskesmas Gogagoman tahun 2022 menunjukkan pengobatan Diabetes Melitus tipe 2 menggunakan metformin (61%), glimepirid (11%), glibenklamid (2%), metformin & glimepiride (11%), dan kombinasi metformin & glibenklamid (2%). Rasionalitas pengobatan Diabetes Melitus tipe 2 di Puskesmas gogagoman tahun 2022 sebesar 34%. Berdasarkan evaluasi pengobatan pasien antidiabetes tepat indikasi, 68% tepat obat, 69% tepat pasien 75%, dan 77% tepat dosis.
PERAN DAN FUNGSI USAHA MIKRO KECIL DAN MENENGAH (UMKM) DALAM MEMITIGASI RESESI EKONOMI GLOBAL 2023
Authors: Fitri Zakiyah Eneng , Bowo Prayoga Kasmo Arief , Nugroho Lucky
Published: March 2024

Tujuan dari penelitian ini adalah untuk mengetahui peran dan fungi UMKM bagi perekonomian indonesia dan masyarakat dalam menghadapi resesi, serta mengetahui bagaimana langkah-langkah UMKM dalam menghadapi resesi. Adapun metode yang digunakan adalah metode kualitatif dengan tujuan studi deskriptif yang didesain untuk mengumpulkan data yang menjelaskan kejadian atau situasi dengan menggunakan uraian kata-kata secara kualitatif. Adapun rumusan masalah dalam penelitian ini adalah sebagai berikut: (i) Bagaimana peran UMKM dalam menghadapi resesi ekonomi?; (ii) Bagaimana fungsi UMKM dalam menghadapi resesi ekonomi?; (iii) Bagaimana cara UMKM untuk bertahan dalam menghadapi Resesi?. Selanjutnya, hasil dari penelitian ini adalah (i) UMKM di Indonesia memiliki peran yang signifikan dalam perekonomian Indonesia dikarenakan jumlah UMKM mendominasi pelaku usaha Indonesia; (ii) Fungsi UMKM dapat memitigasi ekonomi nasional dalam menghadapi resesi ekonomi 2023 dikarenakan UMKM mampu menyerap banyak tenaga kerja sebab salah satu karakteristik UMKM adalah usaha dengan padat karya; (iii) Agar UMKM dapat bertahan apabila terjadi resesi global di tahun 2023, maka diperlukan kolaborasi dari seluruh stakeholder untuk meningkatkan kapasitas dan kompetensi UMKM dari berbagai aspek terutama literasi digital dan kemampuan berinovasi serta berkreasi. Implikasi dari penelitian ini adalah memberikan informasi maupun referensi kepada stakeholder terkait peran dan fungsi UMKM dalam menghadapi resesi.
PEMBUATAN PROTOTYPE SMART DOOR LOCK MENGGUNAKAN RFID (RADIO FREQUENCY IDENTIFICATION) DAN MIKROKONTROLLER ARDUINO
Authors: Tri Linda Sofiyana  , Akhlis Munazilin
Published: March 2024

Mengaplikasikan teknologi yang inovatif. Kebutuhan  akan  efektifitas  dan  efisiensi  sangat diutamakan  dalam  berbagai  bidang.  Hal  tersebut  telah mendorong   manusia   untuk   berkreasi   dan   berinovasi dalam  bidang  teknologi  untuk  menciptakan  suatu  alat yang  lebih  efektif  dan  efisien.  Perkembangan  teknologi saat  ini  dapat  dilihat  sudah  banyak  alat  yang  diciptakan agar  memberikan  kemudahan  kepada  masyarakat  dalam melaksanakan pekerjaan. Smart door lock merupakan teknologi baru dalam penggunaan pintu secara otomatis. Penelitian ini menggunakan penelitian eksperimen dan metode pengembangan prototype. Penggunaan metode ini bertujuan untuk menghasilkan atau mengembangkan produk tertentu. Metode ini diterapkan pada prosedur penelitian menjadi 6 tahapan yaitu (1) Requirements, (2) Quick Design, (3) Build Prototype, (4) User Evaluation, (5) Refining Prototype, dan (6) Implementation. Berdasarkan hasil pengujian dapat disimpulkan bahwa pembuatan smart door lock dapat digunakan dengan baik, sesuai dengan rancangan yang dibuat. Ketika RFID tag ditempelkan pada RFID reader dengan jarak dekat, maka akan membaca ID kartu sesuai jadwal. Kemudian LCD akan menampilkan output berupa tulisan. Jika sesuai jadwal maka selenoid akan terbuka dan akan terkunci kembali
San Albino, Nicaragua: A Low-Angle, Thrust-Controlled Orogenic Gold Deposit
Authors: Lipson Rael D. , Goldfarb Richard J. , Frieman Ben M. , Payne John
Published: March 2024

The San Albino deposit is an orogenic gold occurrence hosted by a low-angle thrust that is the site of a new open-pit mine in northern Nicaragua. The deposit is hosted in greenschist facies rocks of the Jurassic metasedimentary Neuvo Segovia Formation. The schist was uplifted and exposed during arc accretion and Cretaceous thin-skin deformation, forming the NE-striking Colon fold-and-thrust belt. Deformation included emplacement of the 119 to 113 Ma NE-trending Dipilto batholith into the regionally metamorphosed clastic rocks about 5 km northwest of the San Albino deposit. Mineralization is dominated by three laminated quartz vein systems (i.e., San Albino, Naranjo, Arras) that broadly follow shallowly dipping (approx. 30°) carbonaceous shears roughly concordant to schistosity along the limbs of a doubly plunging antiform. The three main parallel shears are each separated by about 90 m and individually reach a maximum thickness of about 8 m. Maximum thickness of ore zones is where post-ore local folding and reverse motion along the shallow shears has duplicated the laminated low-angle gold-bearing veins (D2 and early D3). Additional gold was added to the veins, with abundant sulfides, during a subsequent brecciation event of the early formed quartz veins that accompanied progressive thrusting (late D3). This predated boudinage of the veins during continued compression and thrust loading (D4); high gold grades are particularly notable along pyrite- and arsenopyrite-bearing stylolites formed during D4 pressure solution. The D2 to D3 gold event is likely coeval with Albian uplift of the Dipilto batholith and with back thrusting in the schist aided by the stress inhomogeneities provided by the igneous complex.

Low-angle thrust-controlled orogenic gold deposits may represent world-class exploration targets because of their large linear footprints, although they are traditionally looked at as less favorable exploration targets relative to gold systems developed more commonly along high-angle reverse faults. Our case study of the San Albino deposit shows that although low-angle deposits are not inherently misoriented for failure like the more common subvertical reverse fault-related deposits, they may be sites of significant pressure buildup due to hydrothermal mineral precipitation during initial water-rock interaction or slight temperature decreases along the low-angle flow path. Resulting fluid cycling may lead to thick laminated vein development, such as seen at San Albino, where especially high-grade zones may be associated with local steepening and/or dilational zones within the broader, low-angle vein-hosting shear system.
Linking Porphyry Cu Formation to Tectonic Change in Postsubduction Settings: A Case Study from the Giant Yulong Belt, Eastern Tibet
Authors: Huang Ming-Liang , Bi Xian-Wu , Hu Rui-Zhong , Chiaradia Massimo , Zhu Jing-Jing , Xu Lei-Luo , Yang Zong-Yong
Published: March 2024

Porphyry deposits in magmatic arcs form coincident with changes to steady-state oceanic subduction conditions, such as changes in plate convergence rate and vector or angle of subduction. However, it remains unclear whether such processes also operated during formation of postsubduction porphyry deposits. The Yulong magmatic belt in the eastern Tibetan Plateau consists of middle to late Eocene igneous rocks (~51–35 Ma) that formed during the India-Asia collision, whereas all known porphyry deposits are associated with late Eocene rocks (43–35 Ma). A synthesis of new and published geochemical data shows marked variations from the middle to late Eocene, including increasing whole-rock La/Yb, Sr/Y, and EuN/EuN* values, as well as zircon EuN/EuN* values. These geochemical variations, together with petrographic observations, indicate a transition from plagioclase-dominated to amphibole-dominated fractionation from the middle to late Eocene.

Coupled changes of magma compositions and porphyry Cu metallogeny from the middle to late Eocene coincided with, or were slightly preceded by, the onset of regional uplift and crustal thickening, triggered by the India-Asia hard collision and rapid deceleration of the India-Asia convergence rate at ca. 50 to 44 Ma. Crustal thickening may have caused prolonged magma differentiation at greater depths and accumulation of dissolved H2O, both of which contributed to amphibole-dominated fractionation and generation of hydrous melt that are prospective for porphyry Cu mineralization. Our study highlights the importance of tectonic changes in the formation of the Yulong and other postsubduction porphyry Cu belts—a scenario similar to that operated in subduction-related settings such as the Andes.
Transforming Growth Factor β Signaling Pathway as a Potential Drug Target in Treating Aortic Diseases
Authors: Liu Zijie , Song Tianyu , Xie Liping
Published: March 2024

Review
Transforming Growth Factor β Signaling Pathway as a Potential Drug Target in Treating Aortic Diseases

Zijie Liu 1,2, Tianyu Song 3, and Liping Xie 1,2,3, *

1  Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
2  School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
3  ‍Key Laboratory of Cardiovascular and Cerebrovascular Medicine, Nanjing Medical University, Nanjing 211166, China
* Correspondence: lipingxie@njmu.edu.cn
 
 
Received: 16 October 2023
Accepted: 20 November 2023
Published: 6 March 2024
 

Abstract: The transforming growth factor β (TGF-‍β) signaling pathway is crucial for preserving the structural homeostasis of the aorta and promoting aortic development. This pathway encompasses both SMAD-dependent canonical pathway and SMAD-independent non-canonical signaling pathway. Heritable thoracic aortic aneurysms and dissection are highly correlated with genetic alterations in TGF-‍β canonical signaling-related genes. However, depending on the stage of the disease, the TGF-‍β signaling pathway can have either inhibitory or aggravation effects, making its roles in aortic disease complex and occasionally contradictory. This review aims to elucidate the biological mechanisms underlying the TGF-‍β signaling pathway in the most common aortic diseases, namely acute aortic syndromes and aortic aneurysms, and to evaluate the potential clinical application of TGF-β-targeting therapies in aortic diseases.
Eficiência da aplicação com uso de drone e pulverizador terrestre
Authors: Pereira Cristiano , Bertollo Gilvan Moisés , Sandmann André , Da Silva Fausto Pinheiro , Hlenka Vanessa , Hallal Renato , Silva Ruberzan Ricardo da , Rosetti Mylena Kellyn de Paula , Matsuda Gabriel
Published: March 2024

O uso de drones para pulverizações agrícolas é uma tecnologia em crescimento, que pode integrar-se a outros métodos de aplicação buscando melhorar o desempenho e eficiência dos sistemas de pulverização. Este trabalho teve como objetivo avaliar a deposição de calda em diferentes locais da planta de soja utilizando drone em diferentes volumes e velocidades de aplicação relacionando com aplicação terrestre com pulverizador de barras. O trabalho foi desenvolvido em lavoura comercial, localizada no município de São Miguel do Iguaçu – PR. A implantação do experimento foi realizada na cultura da soja no estádio fenológico R5. O delineamento experimental foi em blocos ao acaso, em um arranjo fatorial 3 x 3 + 3. O primeiro fator foi volume (7, 11 e 15 L ha-1), e o segundo três velocidades (10, 15 e 20 km h-1). Também foi utilizado o autopropelido para fins de comparação, considerando-se os volumes de 70, 110 e 150 L ha-1, com quatro repetições. Observou-se três locais de coleta na planta (terço superior, médio e inferior). O tamanho das parcelas foi de 15 metros de comprimento por 8,5 metros de largura que coincide com a faixa de pulverização do drone. Para a coleta da deposição da calda em cada repetição, foi instalado papéis hidrossensíveis. Para as aplicações aéreas foi utilizado a aeronave DJI AGRAS T 30 na pulverização terrestre foi o pulverizador autopropelido da marca Montana Kuhn, modelo Boxer 2000. Após as pulverizações os cartões foram recolhidos, devidamente identificados e acondicionados em sacos plásticos. Posteriormente foram escaneados e suas imagens armazenadas para avaliação no software Gotas® quanto ao fator de dispersão do tamanho de gotas, densidade de gotas, porcentagem de cobertura e diâmetro médio volumétrico. Observou-se que a densidade de gotas na aplicação terrestre é maior em todas as posições entre todas as velocidades da aplicação aérea. A posição superior tem a maior densidade entre todas as velocidades do drone e do autopropelido. A posição superior teve maior cobertura de gotas no volume de 11 L ha-1 na velocidade 15 km h-1 na aplicação aérea, e no volume de 150 L ha-1 no autopropelido. A aplicação terrestre obteve melhor eficiência na deposição de gotas em relação a aplicação com drone.
Investigation of the impact of Covid-19 pandemic in motor and visuomotor performance of Brazilian schoolchildren
Authors: Maciel Milena Sansone Duarte , Germano Giseli Donadon
Published: March 2024

Motor skills are important for building autonomy in daily life activities and school activities, being acquired through lived experiences and neurocognitive maturation. However, with the pandemic, there was a period of social restrictions. With the COVID-19 pandemic, Brazilian schoolchildren stopped attending school in person from March 2020 to July 2021. The effects of this change are still largely unknown, as the school is the main means of socialization, communication and to practice motor activities for many children. Therefore, this study aimed investigate, correlate and find predictors of gross and fine motor proficiencies and visual perception between pre- and post-pandemic schoolchildren. This was a cross-sectional study with a convenience sample. Forty schoolchildren participated in this study, being divided into groups GI (20 schoolchildren, from the 1st and 2nd grades, evaluated after remote teaching); GII (20 schoolchildren, paired with GI, in relation to sex and chronological age, being evaluated before the Pandemic). They underwent the procedures of motor Proficiency and visual perception development test. GI showed lower performance when compared to GII for motor and visual variables. No correlation was found between the motor and visual variables. Regression analysis explained 86.5% to 98.7% of the variance of motor performance. The visual variables of did not influence motor performance. Regression analysis explained between 75.8% and 96.7% of the variance of the visual performance. GI showed lower performance when compared to GII for motor and visual variables. The presence of several predictors for the classification of motor and visual performance suggests the presence of neurodevelopmental delay, which might be aggravated by social isolation resulting from the Pandemic, which must be seen as a warning sign for speech therapists and pedagogues.
"La civetta" di Giovanni Pascoli (pp. 19-30)
Authors: Bozzola Sergio
Published: March 2024

Il saggio propone un’analisi stilistica della poesia La civetta di Giovanni Pascoli. L’analisi affronta distintamente le diverse componenti del testo e individua innanzitutto la compresenza di una parte narrativa e di una parte commentativa, e segue la costruzione del senso complessivo nell’articolarsi di queste due parti in relazione alle strutture sintattiche e testuali. L’analisi affronta poi l’assetto linguistico e figurale del testo segnalando l’utilizzo di una retorica che si basa sulla ripetizione (chiasmo e anafora in primo luogo), ma anche sulla disseminazione analogica. Progressivamente viene così ridotta la componente realistica e descrittiva del testo in favore di una maggiore presenza della componente simbolica e allegorica.
Exploration and determination of lung cancer targets using multi-omics approaches
Authors: Chenyu Liang , Duan Pinyan Rosemary
Published: March 2024

Multi-omics analysis is a relatively new approach which sets of data are combined for analysis. It integrates the genomic, epigenomic, transcriptomic, proteomic, and metabolomic data from diseased individuals and is capable of comparing the different changes in levels of each identified molecules with the assist of charts and graphs by information technologies, ultimately proposing potential biomarkers and correlations that are possible targets for cancer drugs. Lung cancer, nowadays is the most common cancer being diagnosed worldwide. Thus, lung cancer, amongst the remaining cancer, should not be overlooked. The pathogenesis and treatment of lung cancer is an urgent problem in the medical field that needs to be researched thoroughly. By integrating this new approach to the most common cancer, we try to find more possibilities for targeted drug development. We analyzed the data from the existing database to find out whether the control group and the disease group were up-regulated or down-regulated to analyze some targets, contributing to the development of targeted drugs.
Research progress on acupuncture therapy for spastic hemiplegia after ischemic stroke
Authors: Wang Jiayu , Qi Rui
Published: March 2024

Spastic hemiplegia is a common clinical condition in patients with ischemic stroke, which has a significant impact on their motor function and quality of life. A large number of clinical studies have shown that acupuncture has significant advantages in treating spastic hemiplegia after stroke, and it is worth further promoting and applying in clinical practice due to its simple operation, high safety, and mild side effects. The commonly used clinical methods for acupuncture therapy of spastic hemiplegia after ischemic stroke include filiform needle therapy, electroacupuncture therapy, fire needle therapy, warm needle therapy, and other different acupuncture methods and acupoint selection methods, which can promote the recovery of limb motor function in patients. However, there is currently no clear international standardized treatment plan for acupuncture therapy. In the future, we should strengthen the rigor of clinical practice and research, and strive to contribute to the improvement of the quality of life of stroke patients.