bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of Human Mortality Models: Insights from Denmark and the Netherlands
Authors: Liu Yijian
Published: January 2025

This study provides a comparative analysis of human mortality models for Denmark and the Netherlands from 1970 to 2008, using data from the Human Mortality Database (HMD). The analysis explores mortality trends across age groups and genders, highlighting key patterns and differences between the two countries. The Lee-Carter model is applied to analyze mortality dynamics, while the Gompertz model estimates age-specific mortality rates, both proving effective in capturing long-term trends. The study finds consistent differences between male and female mortality, with men experiencing higher mortality rates across all age groups in both countries. Mortality rates have declined significantly over time due to advancements in healthcare, socioeconomic improvements, and better living conditions. To project future mortality trends, the Random Walk with Drift model is used, offering insights into longevity and life expectancy for both populations. The results emphasize the need for ongoing public health improvements and policies to address the challenges posed by aging populations
Development and Application of Transcript Sequencing
Authors: Zhang Haoyi
Published: January 2025

Transcriptome sequencing has become one of the mainstream methods for detecting gene expression after the development of high-throughput sequencing technology. We present the trajectory of the technological evolution of sequencing technologies between three generations and discuss their technical implementations, advantages, and disadvantages. Next, we show examples of this technology through the current mainstream NGS technology-based RNA-seq sequencing and analysis. We also look forward to the progress of the third-generation sequencing technology in read length and variable splicing detection.
Advances in Gene Editing Technologies for Cancer Therapy
Authors: Zheng Zhihan
Published: January 2025

Using gene editing techniques, cancer treatments are being transformed into new ones that precisely alter genetic patterns. The usefulness, difficulties, and future potential of HDR, Base Editing, and Prime Editing are assessed in this review. While HDR provides accurate gene repair, its specificity and efficiency are not as strong. While base editing shows promise in correcting genetic flaws, it must be used with caution to reduce unintended consequences. A new technique called Prime Editing makes more secure and accurate editing possible without rupturing DNA. Despite their huge potential, advancement in areas like security, ethics, and efficacy of distribution is crucial. The article examines these techniques' potential for treating cancer by compiling research on them.
Research Advanced in Image Recognition under Autonomous Driving Scene Based on Deep Learning
Authors: Zhu Zhengwen
Published: January 2025

Image recognition has always been a fundamental research task in the computer vision community, aimed at identifying the categories of objects in images and has been widely used in many fields, especially in autonomous driving. Early image recognition technologies were mostly based on machine learning, and their recognition speed and accuracy could not meet the application requirements of complex autonomous driving scenarios. With the great success of convolutional neural networks, image recognition technology based on deep learning has attracted increasing research interest. Taking the autonomous driving scenario as an example, this article introduces the latest research progress of image recognition technology, including representative methods and their basic pipelines. In addition, this paper also introduces the commonly used dataset in image recognition and discusses the existing problems of image recognition in autonomous driving tasks. Finally, this paper looks forward to the future development directions of this field, hoping bring some new insight to advance the further development of image recognition under autonomous driving scene.
Exploring the Design of Low Cd BEV by Comparing the Characteristic Parameters and Curves of the Li Auto Mega and ZEEKR 009
Authors: Chen Junzuo
Published: January 2025

As the Battery Electric Vehicle (BEV) market expands, consumer expectations for BEV performance are rising rapidly, with range anxiety becoming a major concern. Merely increasing battery size isnt a long-term solution. Instead, optimizing key design parameters to enhance aerodynamic efficiency is crucial. This paper examines the evolution of Multi-Purpose Vehicles (MPVs) by comparing the traditional MPV designs with newer, low drag models. in terms of appearance parameters and explore the future development of MPVs appearance. Specifically, the Li Auto Mega and ZEEKR 009 are analyzed, highlighting the stark differences in their designs. The study finds that the more aggressive and innovative design elements of the Mega effectively reduce the drag coefficient (Cd), offering valuable insights for future MPV designs
Face Image Generation for Anime Characters based on Generative Adversarial Network
Authors: Ning Zihao
Published: January 2025

With the increasing demand for digital art, animation, and games, facial generation for anime characters has attracted growing research interest in recent years, which aims to build models to automatically generate unique and high-quality character images. Thanks to the rapid advancement of deep learning techniques, particularly generative adversarial networks, GAN-based image generation methods have continuously achieved breakthroughs in generation effectiveness and speed. Focusing on generating realistic anime face images, this paper proposes an anime character face image generation model based on GANs, which integrates Bath Normalization and Dropout to maintain strong stability and avoid overfitting. Comprehensive experiments show the efficacy of the proposed method, which can achieve high diversity in facial features and styles while maintaining visual coherence
A Study of the Doppler Effect in the Analysis of Black Hole Images
Authors: Tan Zheqi
Published: January 2025

Black holes, one of the most mysterious objects in the universe, have long captured the attention of the scientific community due to their extreme gravity and intricate physics. In theory, a black hole is formed when a massive star or object collapses at the end of its life cycle. When a star exhausts its core energy and is no longer acted upon by external forces, it begins to collapse inward. This process continues until the star reaches a critical density, at which point its gravity becomes so strong that not even light can escape, forming a black hole. Black holes exert a profound influence on the universe, continuously absorbing matter in their vicinity, including gas, dust, and other celestial objects. Focusing on the core physical properties and related phenomena of black holes, this paper explores the profound impact of black holes on existing physical theories. By analyzing the motion of matter and energy release mechanism under the gravitational field of black holes, it reveals the complex dynamic behavior of black holes under extreme conditions. In addition, it emphasizes the existence of singularities and their challenges to physics theories, especially the limitations of quantum gravity theory. The study of the Doppler effect and the relativistic beam effect provides further evidence of the high-speed motion of the matter around a black hole and the changes in its radiation properties. These in-depth discussions provide new perspectives for understanding the quantum properties of black holes and their importance in astronomy.
A Randomized, Double-Blind, Comparison of Denosumab versus Zoledronic Acid on Prolonging Bone Metastasis-Free Survival in Men with Hormone-Refractory Prostate Cancer
Authors: Yan Meiru
Published: January 2025

Bone metastases represent a critical factor contributing to illness and mortality among men diagnosed with prostate cancer. This study evaluates the therapeutic effectiveness of denosumab, a fully human monoclonal antibody targeting RANKL, in comparison to zoledronic acid for reducing the occurrence of such metastases or mortality in these patients. The investigation utilized a Cox proportional hazards model to assess bone-metastasis-free survival, factoring in variables such as chemotherapy use. Kaplan-Meier survival curves and hazard ratios (HRs) were employed to evaluate treatment differences. Results indicated that the antibody extended survival by a median of 29.97 months over its comparator. Moreover, it postponed the initial onset of metastases and improved survival outcomes. It outperformed the alternative treatment in minimizing skeletal complications and holds potential as an innovative option for men in this condition.
Wnt/-Catenin Signaling in Intestinal Cancers: Mechanisms, Therapeutic Targets, and Treatment Strategies
Authors: Wu Zixuan
Published: January 2025

Intestinal cancers are always hazardous due to its high morbidity and mortality. Currently, it is known that an error in the Wnt/-catenin pathway is an essential cause of intestinal cancers. After the inhibitors and markers involved in it are especially studied, targeted therapy has already been considered by the scientists. However, there is only overall understanding in Wnt/-catenin pathway with many detailed mechanisms uncleared, thus no treatments can be put into practice. This article analyses proteins and factors which have the potential of being used as targets of targeted therapy. Besides, essential inhibitors, such as NEDD4 and E7386, of the Wnt/-catenin pathway and how lack of them lead to oncogenesis are introduced. Furthermore, the possibility and examples of targeted medicine is discussed. This review offers a wider view of the entire mechanism of intestinal cancers spurred by Wnt/-catenin pathways. The article encouraged further research in variable stages, and new breakthrough is purposed for therapy based on the Wnt/-catenin pathway
Analysis of Transformation and Upgrading Path of a Steel Structure Company in Zibo City, Shandong Province under the Concept of Sustainable Development
Authors: Li Aoran
Published: January 2025

In the context of global climate change, green and low-carbon development has emerged as an international consensus. China has established a dual-carbon target, aiming for carbon peaking by 2030 and carbon neutrality by 2060, thereby necessitating the green transformation of high-energy-consuming and high-emission industries. As a major carbon emitter, the construction industry needs novel development models to achieve sustainable development. The circular economy concept aligns well with steel structures, noted for their energy efficiency, environmental sustainability, recyclability, and high assembly efficiency. And this is a crucial pathway for the sustainable transformation of the building sector. This paper selects a typical steel structure enterprise in Zibo, Shandong Province as the research target. The corporate sustainability report and financial data from 2019 to 2023 employ the mutation level method to evaluate the impact on the enterprises economic performance, green performance, and operational performance across dimensions such as technological innovation, R&D investment, environmental protection expenditures, policy environment, and human resource allocation. The results show that the enterprise, under the guidance of the policy and its own strategic adjustment, has achieved remarkable results in its green transformation and continued to improve its performance indicators, while revealing the key paths of resource allocation optimization and green innovation.
Research on Talent Management Model in Internet Industry -- Taking Baidu as an Example
Authors: Jing Qi
Published: January 2025

With the rapid development of the Internet industry, talent recruitment and training has become a key factor in enterprise competition. This paper takes Baidu as an example to discuss its talent management model in the Internet industry. Through case analysis and comparative research, it reveals Baidu's strategies and outcomes in talent recruitment and training. The findings reveal that Baidu has successfully attracted and retained many outstanding talents through measures such as multi-channel recruitment, internal training, and career development plans. However, challenges remain, such as the need to strengthen the cultivation of emerging technology talents. The research provides theoretical guidance for talent management in the Internet industry and addresses the research gap in related fields.
A survey of pilot behavior detection methods
Authors: LIN YUE
Published: January 2025

This research investigates the use of action and gesture detection technology to analyze pilot behavior and ensure flight safety by employing artificial intelligence. In civil aviation, pilot and passenger safety is of paramount importance ,and the pilot behavior is an important factor in safety. Thus, it is necessary to detect the pilot behavior to secure the flight process which involves the detection of multiple modalities. In the past, most researchers have focused on single-modal behavioral detection methods, primarily gestures. However, a single modality, which may also include physiological data like EEG, is not a good and comprehensive understanding of a series of scenarios. Therefore, this paper proposes using multimodal data fusion to integrate behavior detection data from multiple sources. This paper summarizes and outlines the main methods of pilot behavior detection, such as cockpit voice, gesture detection and text information, and look forward to the possibility of multimodal data fusion of these there modalities data
Mechanical Design and System Construction of Ankle Rehabilitation Robots
Authors: Ma Hexuan
Published: January 2025

The ankle joint is the most heavily loaded joint in the human body and plays a crucial role in daily activities, making it susceptible to injuries. Currently, rehabilitation robots for the ankle joint facilitate the assessment of rehabilitation outcomes and the adjustment of rehabilitation programs, demonstrating significant practical value and application prospects. This paper reviews the mechanical structure design and control system construction of existing ankle rehabilitation robots. In this narrow review, we first analyze the characteristics and issues of current mechanical designs of ankle rehabilitation robots based on the analysis of physiological structure of the ankle joint. Subsequently, we examine design aspects aimed at enhancing precision based on the movement characteristics of the ankle joint, suggesting directions for further research. The control system is categorized into three types based on the driving method: passive, active, and assistive, with an explanation of their mechanisms of action. Finally, we summarize our findings and propose perspectives about the future development of ankle rehabilitation robots
Industrial applications of collaborative robots
Authors: Ma Jinglin
Published: January 2025

With the advent of the Industry 4.0 era, the application of collaborative robots (cobots) in industrial fields has greatly increased. Intelligent collaborative robots or smart cobots enable high flexibility by combining the human ability to adapt to new tasks with automated robots (precision, repeatability) performance. This paper will analyze the current application status and usage of collaborative robots in the various industrial fields, and its benefits and disadvantages from the discussion. Firstly, this paper the defines collaborative robots and explains the difference between cobots and traditional industrial robots. Then, it analyzes the specific application cases of collaborative robots in automotive manufacturing, electronics and electrical appliances, food and beverage, pharmaceutical and chemical industries. Subsequently, this paper introduces the main technologies linked to collaborative robots, including sensors, Human-Robot Interaction (HRI), machine learning and safety technologies. Through the study of actual application cases, this paper summarizes the significant advantages of collaborative robots to improve productivity, reduce costs, and optimize the working environment. Meanwhile, this paper also discusses the current technical challenges, regulatory and standard issues as well as marketing difficulties for collaborative robots, and looks at future development trends and research directions. The results demonstrate that the utilization of collaborative robots in industry has a promising future and research and practical significance as well
Application analysis of wireless communication technology in China's smart grid
Authors: Zhou Xinhui
Published: January 2025

With the rapid advancement of China's economy and technological innovation, wireless communication technology has seen considerable development. Concurrently, global energy and environmental challenges have intensified, heightening the demand for efficient and sustainable energy management solutions. In response to evolving energy demands, China has introduced new standards for digital power grid construction, prioritizing the use of wireless communication technologies to improve energy efficiency and develop smarter grid systems. These technologies facilitate real-time data transmission, remote monitoring of equipment, and network interconnectivity, thereby improving operational efficiency and monitoring capabilities. This paper reviews recent applications of wireless communication technologies within smart grids, aiming to provide valuable insights for future developments based on existing literature and data. Wireless communication technology in smart grids mainly enhances the intelligence and efficiency of the grid by enabling real-time data transmission, remote device management, and optimized energy distribution. Technologies such as Wi-Fi, 5G, and LoRa facilitate key functions like smart meter monitoring, equipment status management, and demand response, driving the automation and intelligent development of power systems. Future research should focus on optimizing the integration of these technologies, strengthening network security, and leveraging big data and artificial intelligence to advance the intelligence of power systems, thereby addressing critical energy challenges and fostering sustainable development
Design and Applications of a Continuously Tunable Bragg Reflector for the Visible Spectrum
Authors: Lin Yueheng
Published: January 2025

Bragg reflectors have become fundamental in optical technologies, providing wavelength-specific reflection in fields like telecommunications and photonic devices. Based on the visible band as well as its application, this paper describes the concept and possible implementation of a frequency-tunable Bragg reflector. Applying the method of alternating the thin film of Titanium dioxide (TiO) and silicon oxide (SiO) with a soft PDMS substrate and a liquid crystal layer, the system allows for direct tuning of the reflected wavelengths. A dual-tuning mechanism, combining an electric field and mechanical stress tuning, significantly enhances the performance of the static Bragg reflectors. The inclusion of such modifications creates an optimal design for advanced optical systems with varied applications, including tunable lasers, adaptive optics, and high-end imaging systems. This paper also addresses the challenges of tunable fabrication and the current their limitations, exploring alternative ways of integrating new materials and the future of multifunctional optical systems. Therefore, the ongoing adjustment of Bragg reflectors presents novelties in telecommunication systems, biomedical imaging, and photonic devices.
Research on Application of diamond MOSFET in DCDC converter
Authors: Gao Ruichen
Published: January 2025

This paper focuses on the industrial application of diamond power devices and DCDC converters, carries out the application research of diamond MOSFET in DCDC converters, analyzes the limitations of current silicon-based DCDC converters and how diamond MOSFET should make up for this limitation. This paper summarizes the research on the practical application of diamond power devices at home and abroad and points out that there is a gap in the application of diamond MOSFETs in DCDC converters. Diamond has the advantages of a large band gap, high carrier mobility, high temperature and high pressure resistance, so the application of diamond MOSFET in a DCDC converter can improve its operating frequency, input and output voltage and efficiency. This paper also discusses the difficulties encountered by diamond semiconductor materials and diamond power devices in the research and industrial fields, as well as the research status of diamond semiconductor materials at home and abroad, and gives the research method for the future application of diamond MOSFET in DCDC converters. The study can use the analogy of applying SiC or GaN to DCDC converters improving their performance, and redesigning the drive circuit to match the limiting performance of diamond power devices. By applying diamond MOSFET into the DCDC converter, its operating voltage, operating frequency, output power and efficiency will be greatly improved.
Academic Research Trend Analysis in the Past Twenty-five Years of Electric Vehicle Industry by Network Visualisation
Authors: Xu Yuanzhe
Published: January 2025

The study investigates the visualised network regarding the research focuses and trends of the electric vehicle industry by VOSviewer and Gephi software. A co-occurrence network was constructed based on cleaned data, with a threshold of five and 1000 selected keywords. There are three types of visualisations presented in coloured clusters, overlay and density. The VOSviewer illustrates a network with 991 nodes, 242,749 edges, and a total link strength of 1,884,874. Although three visualisations represent the same network, each contains a unique perspective of information, which is the categorisation of research topics, the time arrangement of the studies over the years, and the influential power. The analysis is based on the network graph, structure, keywords position and parameters. The study finds that research areas of the EV industry are significantly dense and overlapping. The sector is inferred to focus more on innovative EV technologies, which will guide researchers and stakeholders in exploring the field more.
Influence of Different Factors on Preparation of Carbon Nanotubes by Arc Discharge Method
Authors: Sun Wenzhi
Published: January 2025

This passage summarizes the research status of carbon nanotubes and the future development trends. It introduces the preparation techniques of carbon nanotubes, covering both the basic theoretical foundations and practical approaches. The influences of key factors such as discharge atmosphere, catalysts, and temperature on the preparation efficiency and quality of the arc discharge method are thoroughly analyzed. Through a systematic summary and comparison of relevant domestic and international research, the paper reveals several current technological hot spots and difficulties that need to be addressed. Moreover, the essay prospects the future development of carbon nanotubes, highlighting their wide-ranging application potential in global innovation and sustainable development. It is evident that carbon nanotubes hold promising prospects across diverse fields, including electronics, energy storage, composite materials, and environmental technologies, which will play an essential role in meeting future challenges and driving technological advancements.
Multi-temporal analysis of land use change using GIS and satellite imagery: Implications for sustainable urban planning
Authors: Li Yankun
Published: January 2025

Urbanization is a significant driver of land use change, particularly in rapidly growing metropolitan areas. This research investigates Greenfield City land use change in the 20-year period (2000-2020) using GIS and satellite data. The mapping shows where the greatest land-use changes occurred, ranging from increased residential and commercial developments to the loss of agricultural fields and the omission of green space. The work applies multi-temporal analyses of Landsat satellite images taken in 2000, 2010 and 2020 to estimate land cover change and its effects on urban planning and sustainability. They indicate that theres a clear rise in housing and business developments, but also a steep decline in farming and greenspace. These transformations affect the environment, with habitat loss, biodiversity destruction and encroachment on natural resources. The paper wraps up by focusing on the issues of sustainability in urban planning and how better land use planning is required to reduce the negative environmental effects of urban sprawl.
Unveiling metaverse applications and challenges in Asia: Opportunities for innovation, marketing, and growth
Authors: Jha Amaresh , Singh Sanjeev Ratna
Published: January 2025

The metaverse is rapidly emerging as a transformative force in various industries, including marketing and consumer engagement. In Asia, a region at the forefront of metaverse adoption, companies are leveraging this technology to create immersive experiences and reach new audiences. This study examines the evolution of marketing strategies in the metaverse, focusing on successful applications and challenges faced by brands. Through a comprehensive literature review and case studies from China, India, and Southeast Asia, the paper explores the potential of the metaverse for marketing and e-commerce. It highlights the use of immersive technologies like VR and AR to create engaging experiences, enhance customer engagement, and drive brand loyalty. Additionally, the study addresses the challenges associated with the metaverse, such as technological barriers, data privacy concerns, and ethical considerations. The findings reveal that the metaverse offers significant opportunities for brands to innovate and connect with consumers in new ways. However, successful adoption requires a deep understanding of consumer behavior, technological advancements, and regulatory frameworks. As the metaverse continues to evolve, brands must adapt their strategies to stay ahead in this rapidly changing landscape.
The role of humans in the future of medicine: Completing the cycle
Authors: Kenig Nitzan , Vives Aina Muntaner
Published: January 2025

The progression of Artificial Intelligence (AI) has reshaped our understanding of intelligence, consciousness, and the human condition, challenging long-held assumptions about the mind and its relationship with machines. Starting with Alan Turing’s Imitation Game, the narrative of assessment of AI has continually evolved. This historical context underlines the importance of moving beyond mere facts to confront philosophical questions about AI’s role and limitations, especially in its capacity for consciousness and emotional resonance. In healthcare, the evolution of AI reflects a transformative cycle. Historically, medicine began as an empathic endeavor, where caregivers provided comfort amid limited knowledge. Over centuries, advancements in science elevated physicians to authoritative figures, creating a paternalistic doctor-patient dynamic. Today, with the advent of AI and technologies like the metaverse, healthcare knowledge is becoming democratized. Patients can increasingly access AI-driven diagnostics and interactions, creating a potential era of “algorithmic paternalism” where machines dominate the knowledge hierarchy. Looking to the future, as AI assumes cognitive and diagnostic responsibilities, the human aspect of medicine will gain renewed importance. Physicians will return to their foundational role as empathic caregivers, focusing on human connection and emotional support—qualities that AI, despite its advances, cannot fully replicate today. This shift completes a historical cycle, reaffirming the enduring value of humanity in medicine and positioning the physician as a central figure in the emotionally nuanced landscape of healthcare.
Plasmonic Nanoantennas and Their Utilization for Green Energy
Authors: Rosenkranzová Jana , Miliutina Elena , Burtsev Vasilii , Lyutakov Oleksiy , Švorčík Václav
Published: January 2025

The increasing energy consumption and the effort to reduce dependence on fossil fuels necessitate a transition to clean and renewable energy sources. Photocatalytic and plasmon-assisted water splitting utilize solar energy to produce hydrogen, which represent a promising alternative to conventional methods of energy storage and transmission. These production processes involve complex electrochemical reactions using suitable catalysts. Plasmonic nanostructures, supporting surface plasmon resonances, enhance the efficiency of these reactions. This article focuses on the principles of these technologies, the importance of plasmonic nanostructures, and the use of plasmonic nanoantennas for plasmon-assisted hydrogen and oxygen production.
Analytical Chemistry at the Masaryk University. Jan Václav Dubský and His Brno Analytical School
Authors: Lubal Přemysl
Published: January 2025

This paper deals with the history of the Institute of Analytical Chemistry at the Faculty of Science in Brno in Czechoslovakia between the two world wars (1918–1939). It presents the personality of its founder Jan Václav Dubský from various points of view (teacher, scientist, builder of the Institute pavilion, faculty officer). The importance of the Brno analytical school in the context of teaching and research at the Masaryk University in this period and its dynamic development after the Second World War are also mentioned.
Full text English translation is available in the on-line version.
FATORES DE GOVERNANÇA, COMPOSIÇÃO DAS DESPESAS E CRESCIMENTO: ESTUDO NO CONTINENTE AMERICANO
Authors: Rodrigues Rubens Carlos , Macêdo Francisca Francivânia Rodrigues Ribeiro , Moura Geovanne Dias de , Machado Marcus Vinícius Veras
Published: January 2025

Considerando que a qualidade da governança das instituições e a compreensão da eficiência na alocação das despesas públicas interferem no desenvolvimento dos países e influenciam a qualidade dos serviços e o desenvolvimento humano, este estudo objetiva verificar a influência dos fatores de governança pública na composição (estrutura e tamanho) das despesas públicas e no crescimento econômico dos países do continente americano. A amostra abrangeu todos os 36 países, com dados disponíveis no Banco Mundial entre 2000 a 2020, totalizando 720 observações e com análise de dados em painel.  Os resultados demonstraram que a maioria dos países necessitam de um plano de contenção da corrupção, bem como, de melhor eficiência na alocação dos recursos públicos e melhores investimentos em capital humano, pois assim, poderão alavancar seu crescimento.  Tais resultados podem ser uma estrutura útil para modelar as políticas de desenvolvimento dos países das Américas, representando guia importante para os formuladores de políticas implementarem medidas destinadas a melhorar a qualidade das instituições e, ao mesmo tempo, modelar políticas de crescimento econômico. Este estudo permite inferências críticas/reflexivas sobre as políticas adotadas e praticadas nestes países, representando um instrumento para os gestores públicos implementarem medidas destinadas a melhorar a qualidade das instituições.
heRcules
Authors: Rezende Freitas Hércules
Published: January 2025

A análise de dados é uma etapa crucial no desenvolvimento de projetos científicos, desempenhando um papel central na validação e interpretação dos resultados obtidos. Antes de iniciar a coleta de dados, o pesquisador deve planejar seus experimentos e análises de maneira meticulosa e estruturada, garantindo uma abordagem robusta que minimiza a influência de vieses que possam comprometer a validade dos resultados. O presente documento relata a criação do repositório "heRcules", um recurso de acesso público que oferece modelos de scripts em linguagem R para a análise de dados científicos, com foco especial nas disciplinas das Ciências Biológicas e da Saúde. Este repositório é projetado para ser uma ferramenta valiosa para pesquisadores, fornecendo scripts prontos para executar tarefas essenciais como planejamento experimental, análise de dados, visualização de resultados e testes de hipóteses. O modelo inicial, descrito neste documento, inclui scripts para uma ampla gama de funções: cálculo de tamanho amostral, cálculo de poder estatístico, importação de planilhas, criação de vetores e data frames, estatísticas descritivas, exportação de arquivos, criação de gráficos (tanto com base R quanto com ggplot2), testes de outliers, testes de normalidade, e criação de notebooks com o R Markdown. O repositório está hospedado na plataforma GitHub (https://github.com/drhrf/heRcules.git), assegurando que os recursos estejam disponíveis de forma eficiente, gratuita e colaborativa para a comunidade científica. Esse repositório tem como objetivo não apenas facilitar o trabalho de pesquisadores individuais, mas também promover a transparência e a reprodutibilidade da pesquisa científica, oferecendo uma base sólida para a condução de análises de dados rigorosas e bem fundamentadas, tais como aquelas exemplificadas no presente modelo.
O regime de colaboração na pandemia da Covid-19: analisando as normativas do Programa Aprendizagem na Idade Certa-Mais PAIC
Authors: Duarte Rodrigo Gonçalves , Cruz Maria do Carmo Meirelles Toledo , Ribeiro Vanda Mendes , Passone Eric Ferdinando Kanai
Published: January 2025

Este artigo objetiva analisar as normativas formuladas pelo governo cearense para organizar a rede de ensino durante a pandemia do novo coronavírus, com foco no Programa Aprendizagem na Idade Certa (Mais Paic). A partir da literatura sobre coordenação e cooperação interfederativa, realiza um levantamento bibliográfico e uma análise documental dos decretos e outros materiais publicados pelo governo estadual. A análise documental selecionou 100 decretos e 11 normatizações orientadoras à ação dos municípios, de março de 2020 a abril de 2022. Dos decretos, 80 tratavam da educação. Os materiais foram analisados por: período de promulgação e implicações sobre a educação. O Programa é uma política organizada pela Secretaria da Educação (Seduc) do Ceará que visa o regime de colaboração entre municípios e o estado na educação; neste contexto, o governo promulgou normativas que visavam dar norte aos secretários municipais de educação, gestores e professores durante a pandemia. O governo cearense e a Seduc promoveram orientações e formações às equipes da Educação, com uma série de transformações no desenho do Programa, buscando garantir a aprendizagem dos alunos e auxiliando os agentes implementadores. Desta forma coordenou a política educacional e colaborou com os municípios na pandemia.
MRI as Diagnostic Modality of Myocarditis in Patients with Unexplained Chest Pain
Authors: Andriono Prasetyo , Achmadsyah Armand
Published: January 2025

Myocarditis is the inflammation of the cardiac muscle. Diagnosis can be challenging as the symptoms are not typical. Cardiac magnetic resonance imaging (MRI) can be used to diagnose myocarditis, allows more reliable quantitative measurements, and a clear discrimination from other mimicking conditions. We include 3 patients with myocarditis.
N-butylphthalide: Neuroprotektor untuk Stroke Iskemik
Authors: Clement Lyon
Published: January 2025

Stroke, terutama stroke iskemik, masih merupakan salah satu masalah kesehatan yang menjadi prioritas di Indonesia dengan beban dan biaya yang besar. Terapi utama stroke iskemik, yaitu reperfusi dengan terapi trombolitik atau trombektomi, memiliki berbagai tantangan terutama rentang waktu yang direkomendasikan karena keterbatasan fasilitas dan infrastruktur. N-butylphthalide (NBP) merupakan neuroprotektor yang memiliki potensi memperbaiki mikrosirkulasi serebral, melindungi sawar darah otak, melindungi sel neuron dari apoptosis, merangsang neurogenesis, serta menjaga survivabilitas sel neuron dalam kondisi stroke iskemik berdasarkan studi pre-klinik. Secara klinik, NBP menunjukkan manfaat terutama berupa perbaikan disabilitas pasca-stroke. NBP merupakan neuroprotektor yang menjanjikan untuk luaran klinik stroke iskemik yang lebih baik.
ABOUT SOME PROBLEMS AND SUGGESTIONS FOR IMPROVING THE MANAGEMENT OF RUSSIA'S NATURAL RESOURCES. THE REGIONAL ASPECT
Authors: Margalitadze Omari
Published: January 2025

The article discusses methodological issues and methods of resource management at the regional level. The problems that hinder the improvement of the efficiency of using Russia's resource potential are analyzed, and proposals for their solution are given. The features of mineral resource management, the impact of raw material extraction on the socio-economic development of the territory, and the spatial development of the region are considered in more detail. It is proposed to radically transform the existing mechanisms of financial relations "center - regions" in favor of the latter, the use of economic methods to stimulate mining enterprises in the rational use of natural resources.
The author recommends the creation of a unified federal body for integrated environmental management in the country, and the expansion of the degree of participation in natural resource management by territorial authorities – both subjects of the Russian Federation and municipalities. In the context of growing economic uncertainty and fragmentation of the global economy, external shocks, unprecedented sanctions, man-made internal crises, abnormal instability of the ruble, as well as a difficult demographic situation and a shortage of able-bodied people, finds it more rational to get out of the confrontation, search for ways to jointly develop the global economy and the place of Russia and its regions in this process.
The Threat of Asymmetric War Against The Border Area (Study of East Kalimantan As The Capital City of The Archipelago)
Authors: Yuliana Anggun Pertiwi  , Pujo Widodo  , Priyanto Priyanto
Published: January 2025

The border area of a country is a manifestation of its sovereignty. Security in border areas becomes a challenge for every country because the border area is generally a space for the development of asymmetric warfare threats, especially in its position as the National Capital. East Kalimantan is a manifestation of Indonesia's border area that has the potential to face complex asymmetric warfare threats. This research is a qualitative study aimed at analyzing the forms of asymmetric warfare threats to East Kalimantan as a border area and the National Capital. Based on the research, it is concluded that East Kalimantan is a strategic border area with complex security risks. This area is characterized by actual and potential asymmetric warfare threats ranging from local to transnational scales, such as local conflicts, transnational crimes, and terrorist threats. Threats to East Kalimantan at least have an impact on national security, both directly and indirectly. Therefore, the threats in East Kalimantan need to be a shared concern, given that security gaps in border areas are vulnerable to being exploited by asymmetric actors to present threats.
The Social Disaster Intelligence Paradox in Understanding Bioterrorism
Authors: Bhakti Dahan Cendikia , Syamsunasir Syamsunasir  , Anwar Kurniadi  , Pujo Widodo
Published: January 2025

World history always has a dark side when it comes to the topic of terrorism, especially the use and research of biological weapons. Even though a number of prohibitions and international agreements have been issued regarding the prohibition of researching, storing and using biological weapons for all countries in the world, there are still many countries in the world that are suspected of secretly carrying out research, storing and using biological weapons for certain purposes in secret. hiding on the basis of accusations/evidence based on speculation, a series of interconnected phenomena, to the discovery of physical evidence related to acts of bioterrorism. So it is interesting to carry out research related to the clarity of understanding regarding the issue of bioterrorism in the modern era, especially from the perspective of social disaster intelligence. This research uses descriptive qualitative methods and a literature study approach. Research results based on the causes of the phenomenon of disease spread are based on conjectures, interpretations and hypotheses about the use of biological weapons as a form of bioterrorism and the lack of specificity in the definition of acts of terrorism itself, creating a confusing paradox between an epidemic disease being a natural phenomenon.
The Influence Of Job Engagement, Goal Orientation, And Career Satisfaction On Organizational Commitment At The Regional Staffing Agency Of The Province Of Kalimantan Timur
Authors: Agung Wicaksono  , Djoko Setyadi  , Doddy Adhimursandi
Published: January 2025

This study explored the influence of job engagement, goal orientation, and career satisfaction on organizational commitment at the Regional Staffing Agency of Kalimantan Timur Province. Organizational commitment, which is essential for enhancing performance and trust in government agencies, is analyzed through three dimensions: affective, continuance, and normative commitment. This study utilizes a population of 71 civil servants from the Regional Staffing Agency and employs Structural Equation Modeling (SEM) through SmartPLS to analyze the relationships between variables. The study found that job engagement positively affects career satisfaction but has no significant direct impact on organizational commitment. Goal orientation had no significant influence on either career satisfaction or organizational commitment. Career satisfaction, although an important factor, does not directly impact organizational commitment. These findings highlight the complexities of the government’s work environment, where job security and rigid regulations may diminish the role of engagement and satisfaction in fostering commitment. The study concludes with recommendations for enhancing employee engagement and aligning organizational goals with personal aspirations to improve commitment and performance.
'Ingsun Titip Tajug Lan Fakir Miskin' Mentifak Culture of Cirebon Ethnicity Studied from the Ethnopedagogical Dimension
Authors: Mauly Rahadiani  , Aninda Utari Pertiwi  , Fitriani Tri Rahayu  , Iin Wariin Basyari  , Auliya Aenul Hayati
Published: January 2025

This study aims to identify the values of local wisdom in the mentifact culture of the Cirebon Ethnic saying "ingsun titip tajug lan fakir miskin". The research used a qualitative method.  Data were collected or extracted using open interview techniques, documentation studies and direct observation of Cirebon cultural heritage sites. Informants include, Cirebon cultural figures, education figures and Cirebon community leaders. The data validation uses triangulation techniques. Triangulation is an approach taken by researchers to explore and perform qualitative data processing techniques. The research resulted in the conclusion that; the expression petatah petitih Cirebon contains local wisdom values; (1) the value of faith and devotion to God Almighty; (2) social values and togetherness, (3) the value of responsibility, and (4) the value of mutual cooperation. These values can be used as learning materials and resources through an ethnopedagogical approach in elementary schools. Recommendations that the expression of petatah petitih 'ingsun titip tajug lan fakir miskin' can be implemented into culture-based learning in the Cirebon ethnic community as an effort to preserve local culture.
The Efficacy of Subak in Mitigating Land Conversion within the Jatiluwih World Cultural Heritage Site
Authors: Andre Pradnya Yuda  , Ida Ayu Putu Sri Widnyani  , I Made Sumada
Published: January 2025

Subak represents a distinctive agricultural culture in Bali, functioning as an indigenous community organization with significant socio-agrarian and cultural implications. The inclusion of Subak within the Jatiluwih World Cultural Heritage Area, recognized by UNESCO as a valuable intangible heritage, underscores its importance. However, the rapid expansion of tourism and service industries has raised concerns about land conversion, potentially jeopardizing agricultural productivity through the development of villas, homestays, and restaurants. The study employs qualitative research methods to systematically document and observe field information and phenomena. While Subak's role is deemed partially effective compared to non-designated counterparts, land conversion persists due to various factors including internal motivations, external environmental conditions, and regulatory frameworks governing land use. Enhancing integration is crucial, involving the design of additional regulations to fortify the eco-cultural tourism system and foster collaboration between agricultural and tourism sectors. There is a pressing need to increase support for Subak, encompassing both moral and material assistance.
Formation of Indonesian Laws Post-2022 Amendment to Law No. 12 of 2011
Authors: Usihen Min , Anshari Tunggul , Riyanto R. Benny , Eko Widiarto Aan
Published: January 2025

This study aims to analyze the evolution of legal politics in Indonesia’s legislative framework following the amendment of Law No. 12/2011 through the enactment of Law No. 13/2022. This amendment introduced the omnibus method as an innovative approach to drafting regulations. Employing a qualitative methodology rooted in doctrinal legal research and normative analysis, the study examines legal texts, judicial decisions, and other legislative materials. The methodology emphasizes the analysis of legal principles and norms to ensure alignment with constitutional directives and international legal standards. The findings indicate that the implementation of the omnibus method enhances efficiency in the legislative process by consolidating overlapping regulations into a cohesive legal framework. This approach facilitates efforts to address regulatory overload and promotes greater legal certainty. Nevertheless, the study identifies challenges such as resistance within the legislative process and the necessity for continuous oversight to maximize the benefits of this approach. In conclusion, the enactment of Law No. 13/2022 represents a pivotal advancement toward a more responsive and efficient legislative framework in Indonesia. This research provides a valuable contribution to understanding the political dynamics of legal reform and the broader implications of adopting the omnibus method in the national legislative system.
Implementation Of Road Maintenance Policy At The Indramayu Public Works And Spatial Planning Office (PUPR)
Authors: Tiara Selamonika  , Nuraini Putri Febriani  , Sri Wulandari  , Moh. Sutarjo  , Hamzah Restu Lesmana
Published: January 2025

This study examines the implementation of road maintenance policies by the Public Works and Spatial Planning Office (PUPR) of Indramayu Regency. Good road infrastructure is very important to support people's daily activities and economic growth. This study uses a qualitative approach with the policy implementation theory from Tachjan (2006) which includes the role of actors and organizations, interaction and communication, context and environment, resources and constraints, and evaluation and learning. The results of the study show that the implementation of road maintenance policies in Indramayu still faces several obstacles, namely limited financial and human resources, as well as inhibiting factors such as 1) resources that are still inadequate both for tools, facilities, time or human manpower 2) information and communication that does not run in both directions between the PUPR Office and the community 3) the division of potential such as unclear organizational and bureaucratic structures causing the policy program to seem to float without knowing who is in control.