bluuebunny/crossref_metadata_2025 huggingface dataset:
Tropical Ozone Trends (1998 to 2023): A Synthesis from SHADOZ, IAGOS and OMI/MLS Observations
Authors: Thompson Anne M. , Stauffer Ryan M. , Kollonige Debra E. , Ziemke Jerald R. , Cazorla Maria , Wolff Pawel , Sauvage Bastien
Published: January 2025

Abstract. Trends in tropical tropospheric ozone over the past ~20–30 years have been reported using ozonesonde profiles from five SHADOZ sites (Thompson et al., 2021, “T21”; Stauffer et al., 2024, “S24”) and a combination of satellite, SHADOZ and IAGOS aircraft measurements (Gaudel et al., 2024). Selected tropical sonde and aircraft trends also appear in Van Malderen et al. (2024a). We have extended T21 for monthly-averaged five-station SHADOZ data with a Multiple Linear Regression (MLR) model, covering 1998 to 2023. We report: (1) trends in two free tropospheric (FT) ozone layers, lowermost stratosphere (LMS) ozone, total tropospheric column (TrCOsonde) and tropopause height; (2) trends for 2000–2023 (no 1997–1998 ENSO) and 1998–2019 (no COVID-19). (3) TrCOsonde trends, 2005–2023, compared to OMI/MLS TrCOsatellite. The findings: (1) Extending SHADOZ trends four years does not change the T21 results: annual trends negligible except in one FT layer (Natal-Ascension) and for tropopause-referenced LMS. A slight reduction in FT trends may reflect a moderating effect of COVID-19. (2) Adding thousands of IAGOS profiles to SHADOZ data similarly showed near-zero MLR trends (p<0.05) in a pressure-defined lower FT; SHADOZ sampling is sufficient. (3) With the TrCOsonde adding 0–5 km ozone, trends are only detected over SE Asia and Natal-Ascension at 2–3 %/decade, p<0.05; comparison to trends from the TOAR II/HEGIFTOM activity (a 0–300 hPa TrOC) gives similar results. For 2005–2023 MLR annually averaged trends for TrCOsonde and OMI/MLS TrCOsatellite agree within uncertainties at four of 5 SHADOZ sites.
Towards the Assimilation of Atmospheric CO2 Concentration Data in a Land Surface Model using Adjoint-free Variational Methods
Authors: Beylat Simon , Raoult Nina , Bacour Cédric , Douglas Natalie , Quaife Tristan , Bastrikov Vladislav , Rayner Peter Julien , Peylin Philippe
Published: January 2025

Abstract. A comprehensive understanding and an accurate modelling of the terrestrial carbon cycle, are of paramount importance to improve projections of the global carbon cycle and more accurately gauge its impact on global climate systems. Land Surface Models, which have become an important component of weather and climate applications, simulate key aspects of the terrestrial carbon cycle such as photosynthesis and respiration. These models rely on parameterisations that necessitate to be carefully calibrated. In this study we explore the assimilation of atmospheric CO2 concentration data for parameter calibration of the ORCHIDEE Land Surface Model using 4DEnVar, an adjoint-free ensemble-variational data assimilation method. By circumventing the challenges associated with developing and maintaining tangent linear and adjoint models, the 4DEnVar method offers a very promising alternative. Using synthetic observations generated through a twin experiment, we demonstrate the ability of 4DEnVar to assimilate atmospheric CO2 concentration for model parameter calibration. We then compare the results to a 4DVar method that uses finite differences to estimate tangent linear and adjoint models, which reveal that 4DEnVar is superior in terms of computational efficiency and fit to the observations as well as parameter recovery.
Benchmarking passive-microwave-satellite-derived freeze–thaw datasets
Authors: Bartsch Annett , Muri Xaver , Hetzenecker Markus , Rautiainen Kimmo , Bergstedt Helena , Wuite Jan , Nagler Thomas , Nicolsky Dmitry
Published: January 2025

Abstract. Satellite-derived soil surface state has been identified to be of added value for a wide range of applications. Frozen versus unfrozen conditions are operationally mostly derived using passive microwave (PMW) measurements from various sensors and different frequencies. Products differ thematically, as well as in terms of spatial and temporal characteristics. All of them offer only comparably coarse spatial resolutions on the order of several kilometers to tens of kilometers, which limits their applicability. Quality assessment is usually limited to comparisons with in situ point records, but a regional benchmarking dataset is, thus far, missing. Synthetic aperture radar (SAR) offers high spatial detail and, thus, is potentially suitable for assessment of the operational products. Specifically, dual-polarized C-band data acquired by Sentinel-1, operating in interferometric wide (IW) swath mode with a ground resolution of 5 m×20 m in range and azimuth, provide dense time series in some regions and are therefore a suitable basis for benchmarking. We developed a robust freeze–thaw (FT) detection approach that is suitable for tundra regions, applying a constant threshold to the combined C-band VV (vertically sent and received) and VH (vertically sent and horizontally received) polarization ratios. The achieved performance (91.8 %) is similar to previous methods which apply an empirical local threshold to single-polarized VV backscatter data. All global products, tested with the resulting benchmarking dataset, are of value for freeze–thaw retrieval, although differences were found depending on the season, particularly during the spring and autumn transition. Fusion can improve the representation of thaw and freeze-up, but a multi-purpose applicability cannot be obtained since the transition periods are not fully captured by any of the operational coarse-resolution products.
Pain Severity, Illness Appraisal and Pain Acceptance in Patients with Chronic Pain Conditions
Authors: Tahir Khola , Naz Humaira , Sheikh Iman Amir
Published: January 2025

The present study used a correlational research design to look into the association across pain severity (PS), illness appraisal (IA) and pain acceptance (PA) among individuals struggling with chronic pain. A purposive sample of 120 chronic pain patients from the Outpatient Departments of both private and government tertiary care hospitals of Lahore was obtained. The participants were asked to fill out a questionnaire booklet including a demographic questionnaire, West Haven Yale Multidimensional Pain Inventory, Revised Illness Perception Questionnaire, and Chronic Pain Acceptance Questionnaire. The findings revealed significant associations between pain severity, its subscales and pain acceptance. Timeline, consequences and emotional representations and pain acceptance; treatment control and illness coherence and pain acceptance showed negative correlation. Emotional representation predicted PA and pain willingness; Consequences, Timeline cyclic, affective distress and interference predicted both PA and Activity engagement; Treatment control and distracting responses were better predictors of pain willingness and negative responses was a better predictor for activity engagement. Independent sample t-test indicated that women tend to keep themselves busy with household chores whereas men tend to experience pain with more negative consequences. It was concluded that those who appraised their illness positively showed more acceptance towards their diagnosis and displaying better life regulation. Overall, it was concluded that pain acceptance plays a significant role in the lives of individuals with chronic pain. Hence, the results can be used to enhance empathy among clinical psychologists.
Emotional Intelligence and Compassion Fatigue in Nurses: Mediating Role of Ego Resilience
Authors: Sajid Tehreem , Gul Afsheen , Razzaq Rubab
Published: January 2025

The previous studies documented that nurses are at most risk population for work related stress. Therefore, the objectives of current study were to examine the connection between emotional intelligence, ego resilience and compassion fatigue in nurses. A cross-sectional research design was adopted to recruit 120 female nurses purposively. The standardized assessment tools used in this study were Emotional Intelligence scale (EIS), Ego Resiliency scale (ERS) and Professional Quality of Life (ProQOL) scale. The statistical software employed to analyze all the collected data was SPSS version 26 and Hayes Macro Process version 4.0. Results demonstrated significant positive association of emotional intelligence with ego resilience (r =.32, p<0.001) and compassion satisfaction (r =.25, p<0.001). Similarly, emotional intelligence was positively predicting compassion satisfaction (? =.18, p<0.05) and significantly negatively predicting burnout (?= -.20, p<0.05) and secondary traumatic stress (?= -.27.18, p<0.001). Mediation analysis indicates that ego resilience (? =.10, LL=.03, UL =.18) was mediating a relationship between emotional intelligence and compassion satisfaction in nurses. All findings are discussed along with relevant literature.
Research on Digital Media Advertising Interactive Design and Communication based on Big Data Technology
Authors: Zhuo Liu
Published: January 2025

In order to improve the effect of digital media advertising interactive design and communication, this paper combines big data technology to study the digital media advertising interactive design and communication. Moreover, this paper introduces the classic model of advertising communication and its establishment rules, as well as some basic knowledge of the differential dynamics system model used to analyze the advertising communication model. In addition, this paper considers the influence of individual interest differences and communication mechanisms on advertising communication, and establishes an IWSR advertising communication model based on individual interest differences and communication mechanisms. The research shows that the digital media advertising interactive design and communication system based on big data technology proposed in this paper has good results.
Comprehensive Evaluation Method for the Metrological Performance of Intelligent Energy Meters in Complex Electromagnetic Field Environments
Authors: Chong Li
Published: January 2025

The existing evaluation methods mainly focus on the basic measurement accuracy of electric energy meters, without fully considering the anti-interference ability of electric energy meters under different electromagnetic interference intensities. In order to comprehensively evaluate the metrological performance of electric energy meters in complex electromagnetic field environments, this article adopted a comprehensive and systematic AHP-EWM (Analytical Hierarchy Process-Entropy Weight Method) comprehensive evaluation algorithm. This article used the Finite Element Method (FEM) to simulate complex electromagnetic environments, designed a multidimensional performance index system, and combined AHP and FEM to construct a comprehensive evaluation model for systematically evaluating the metrological performance of Intelligent Energy Meters (IEM) in complex electromagnetic environments. The experimental results show that the measurement error of smart energy meters significantly increases with the increase of interference intensity. AHP-EWM has shown high consistency and reliability under different electromagnetic interference intensity conditions and multiple repeated experimental tests. The weight allocation of various indicators remains relatively stable in different testing environments, and the comprehensive evaluation score fluctuates slightly, with a range of only 0.01 to 0.03. The AHP-EWM model can overcome electromagnetic interference of different intensities in practical applications and conduct comprehensive IEM metrological performance evaluation.
Securing Cloud-Based IoT Architectures: A Multi-Protocol Approach
Authors: Hemantkumar Balasaheb Jadhav
Published: January 2025

Securing cloud-based IoT architectures has become a critical concern due to the increasing integration of heterogeneous IoT devices into cloud environments. Traditional security approaches often fall short in addressing the unique challenges posed by such architectures, including device diversity, real-time data processing, and scalability issues. This paper presents a novel multi-protocol security framework designed to enhance the protection of cloud-based IoT systems. By combining multiple security protocols, such as Transport Layer Security (TLS), Datagram Transport Layer Security (DTLS), and the Message Queuing Telemetry Transport (MQTT) protocol, the proposed approach provides a comprehensive defense against various security threats. The paper discusses the architecture and implementation of the multi-protocol model and evaluates its performance in terms of security, scalability, and resource efficiency. Comparative analysis with single-protocol solutions demonstrates the superiority of the multi-protocol approach in mitigating vulnerabilities across the cloud-IoT ecosystem. The proposed solution offers a scalable and adaptable method for ensuring secure communication and data integrity within cloud-based IoT architectures.
Blockchain-Based Solutions for Enhancing Cybersecurity in Healthcare Systems
Authors: Vijaya Balpande
Published: January 2025

This paper explores the integration of blockchain technology into healthcare systems to enhance cybersecurity and safeguard sensitive patient data. As healthcare organizations increasingly digitize their operations, they become vulnerable to cyber threats, data breaches, and unauthorized access to personal health information. Traditional security measures often fall short in providing comprehensive protection against sophisticated attacks. This study presents blockchain as a robust solution, leveraging its decentralized, immutable, and transparent nature to create a secure environment for health data management. By utilizing smart contracts, healthcare providers can automate and enforce data access policies while ensuring accountability and traceability. Furthermore, blockchain's ability to enable secure sharing of patient data among authorized entities facilitates interoperability and improves the overall efficiency of healthcare delivery. The paper also discusses the potential challenges of implementing blockchain in healthcare, including scalability, regulatory compliance, and integration with existing systems. Through a detailed analysis, this research aims to provide insights into how blockchain can be effectively utilized to bolster cybersecurity in healthcare systems, ultimately leading to improved patient trust, enhanced data integrity, and better health outcomes. The findings underscore the need for further exploration and adoption of blockchain solutions to address the evolving cybersecurity landscape in the healthcare sector.
Security Challenges in the Internet of Things: A Focus on Authentication Mechanisms
Authors: Swati Gandhi
Published: January 2025

The rapid expansion of the Internet of Things (IoT) brings numerous security challenges, with authentication being a critical concern. As IoT devices become more pervasive in various sectors ranging from smart homes to industrial systems securing access to these devices is paramount. Due to the heterogeneous nature and resource constraints of IoT devices, traditional authentication mechanisms often fall short in providing adequate security. Lightweight and scalable authentication solutions are needed to address the unique requirements of IoT systems, including low computational power, limited energy, and diverse communication protocols. This paper explores the security challenges specific to IoT environments, focusing on the complexities of establishing reliable and secure authentication mechanisms. Various techniques, such as cryptographic methods, biometric-based approaches, and blockchain-enabled authentication frameworks, are examined for their potential to enhance security while maintaining performance. Furthermore, this study highlights the vulnerabilities that arise from inadequate authentication processes, such as unauthorized access and data breaches, and discusses the role of emerging technologies in mitigating these risks. By evaluating current solutions and proposing improvements, this research contributes to the ongoing efforts to develop robust security models for the IoT ecosystem.
Securing IoT Devices through Blockchain: A Hybrid Model
Authors: Manjushri Joshi
Published: January 2025

This paper presents a hybrid model for securing Internet of Things (IoT) devices through the integration of blockchain technology and traditional security protocols. As IoT devices proliferate, they face significant security challenges, including vulnerabilities to unauthorized access and data breaches. The proposed model combines the decentralized and immutable characteristics of blockchain with IoT-specific security measures, such as device authentication and data encryption. By leveraging smart contracts, the model automates security processes, enhancing real-time threat response capabilities. This research explores the architecture, implementation strategies, and real-world applications of the hybrid model, demonstrating its potential to create a more secure IoT ecosystem.
The Impact of Government Regulations on Cyber Security Policy Development
Authors: Sofiya Mujawar
Published: January 2025

This research paper examines the influence of government regulations on the development of cybersecurity policies across various sectors. It highlights how regulatory frameworks shape organizational practices and compliance strategies, ensuring robust protection against cyber threats. By analyzing case studies and existing literature, the study identifies key regulatory initiatives that drive policy formulation, focusing on aspects such as risk management, data privacy, and incident response. The findings reveal that effective regulations not only enhance cybersecurity resilience but also foster a culture of accountability and transparency within organizations. Ultimately, the paper argues that collaborative efforts between government bodies and private sectors are essential for creating comprehensive cybersecurity policies that adapt to evolving threats in the digital landscape.
Quantum Cryptographic Protocols for Enhanced Cloud Security
Authors: Vinit Khetani
Published: January 2025

Quantum cryptographic protocols offer transformative potential for enhancing cloud security by leveraging the principles of quantum mechanics. These protocols ensure unbreakable encryption through quantum key distribution (QKD), where security is derived from the fundamental properties of quantum particles. Unlike classical encryption, which relies on computational complexity, quantum cryptography guarantees data protection by preventing unauthorized access, as any attempt to intercept quantum keys alters their state and can be immediately detected. This paper explores the application of quantum cryptographic protocols in securing cloud environments, addressing vulnerabilities posed by classical encryption techniques in the face of growing computational power. Key protocols, such as BB84 and E91, are analyzed for their potential in securing cloud infrastructure, offering enhanced confidentiality, integrity, and authentication of data. Additionally, this study highlights the integration of quantum cryptography with modern cloud architectures, overcoming challenges such as scalability and implementation cost. By employing quantum-resistant strategies, these protocols provide a robust defense against emerging threats from quantum computing, making them an essential solution for future-proof cloud security. The findings demonstrate that quantum cryptography, combined with advanced cloud security practices, can ensure secure, scalable, and resilient cloud infrastructures capable of protecting sensitive data in an increasingly interconnected digital landscape.
Construction and Application of PE-PCK Characteristic Training Case Teaching Model for Excellent PE Teachers based on Artificial Intelligence Technology
Authors: Ximei Xu
Published: January 2025

In order to improve the quality of physical education teacher training, with the help of artificial intelligence technology, this study constructs and applies a case teaching model based on the PE-PCK characteristics of excellent physical education teachers. The feasibility of the case teaching model in the construction of this characteristic is demonstrated, and the PCK of normal students and excellent physical education teachers is compared and analyzed. Based on the content, characteristics, and construction path of PE-PCK for excellent physical education teachers, a case teaching model for PE-PCK excellent characteristics training of normal students is established. Selecting physical education teacher students from Qujing Normal University for implementation, analyzing the results of the formation of PCK in the curriculum before and after implementation, verifying the effectiveness of constructing excellent physical education teacher PCK characteristics for teacher students, and improving the model through interviews. The results indicate that this model helps teachers accumulate teaching cases, enhance their ability to promote student development, educational theory literacy, and subject teaching theory knowledge.
Utilizing Waste Glass Aggregates in Concrete: Enhancing Performance and Reducing Carbon Emissions through Life Cycle Assessment
Authors: Yi Zhao
Published: January 2025

To effectively address the issue of waste glass disposal, this paper proposed a novel approach of using waste glass aggregates as mineral admixtures in concrete. The study investigated the characteristics of waste glass aggregates and their effects on the compressive strength, flexural strength, and fluidity of concrete. Additionally, based on the life cycle assessment (LCA) method, the carbon emission reduction benefits of using waste glass aggregates were analyzed and calculated. The results indicate that with the increase in the content of glass fine aggregates, the fluidity of concrete increases, with larger particle sizes contributing to higher fluidity. Compared to ordinary concrete, the compressive and flexural strengths of waste glass aggregate concrete do not show a significant reduction. Moreover, the recycling and utilization of waste glass can reduce energy consumption and production costs, save resources, and reduce environmental pollution, which is significant for achieving the "dual carbon" goals in the construction industry.
Sustainable Building Materials: The Role of Waste Glass Powder in Improving UHPC Performance and Lowering CO2 Emissions
Authors: Yingjie Wang
Published: January 2025

With the widespread use of glass products, a large amount of glass solid waste is generated worldwide annually. In the preparation of ultra-high performance concrete (UHPC), waste glass powder (WGP) can be used to replace part of river sand, thereby reducing the consumption of river sand (RS), promoting the reuse of waste glass, and lowering CO2 emissions. By replacing RS with WGP in different proportions, followed the standard test method of the spread diameter of freshly mixed UHPC in both vertical and horizontal directions, the standard test method of compressive and flexural strengths, the fluidity, compressive strength, and flexural strength of UHPC were tested. The experimental results show that the incorporation of WGP does not affect various performance indicators of concrete materials. It not only reduces the usage of RS but also lowers carbon emissions. The findings of this study are significant for promoting the research and development of ultra-low energy consumption building materials and the large-scale development of low-carbon buildings.
Study on the Optimization of Logistics Procurement Mode in the Background of Supply Chain Internet of Things
Authors: Yaqing Luo
Published: January 2025

In the traditional logistics procurement model, there are problems such as incomplete information acquisition and information lag. The information between suppliers and purchasers cannot be exchanged in a timely manner, which leads to certain risks and increased costs when both parties formulate strategies. The application of Internet of Things (IoT) technology in supply chain management, through real-time data collection, intelligent processing, and optimized decision-making, significantly enhances the transparency, efficiency, and response speed of the supply chain. It is conducive to promoting internal management innovation and supplier collaborative innovation, reducing the cost of information acquisition and communication with suppliers during the procurement process, and thereby promoting the improvement of total factor productivity. This paper analyzes the problems existing in the logistics procurement model in the traditional environment, compares and analyzes the role and innovation of the procurement model under the background of supply chain IoT, and finally compares and demonstrates the logistics service levels of two companies before and after the optimization of the procurement model under the background of supply chain IoT. The optimization of the procurement model under the background of supply chain IoT can effectively improve the service quality of enterprises, enhance the overall management level, assist enterprises in sharing risks, effectively reduce the inventory costs of enterprises, and effectively strengthen the integration effect of logistics information. Therefore, the research on the optimization of the procurement model under the background of supply chain IoT is very necessary.
Analysis of Chinese Time-Honored Restaurant Selection Embedded in Customers’ Nostalgia: based on Contextual Analysis Model
Authors: Junhui Guo
Published: January 2025

Revitalizing China's old restaurant brands is of great significance to the cultural self-confidence of the Chinese nation. In this study, nine old brands in Beijing, Shanghai and Guangzhou were selected, and a total of 543 valid questionnaires were obtained to analyze consumers' willingness to choose old brands. Specifically, based on consumers' perceived attractiveness and visit resistance to old firms, the authors used the contextual analysis model in the hierarchical linear model to explore the perturbation mechanism of the two nostalgic emotions in consumers' choices. The results of the analysis are as follows: first, perceived attractiveness has a positive effect on customer choice, while visit resistance has a negative effect on customer choice. Second, individual nostalgia has a positive effect on customer choice and plays a moderating role in the relationship between attractiveness, visit resistance and choice. Third, urban nostalgia also plays an important role in the relationship between attractiveness, visit resistance and choice. Overall, based on the contextual analysis model, this paper discovered the intrinsic choice mechanism of consumers for Chinese old restaurants, which can play a guiding role for their development.
The Influence of Social Media Users' Pre-Understanding on Polarization Behavior in the Process of International Information "Backflow" Assisted by Artificial Intelligence: A Study Based on Structural Equation Model
Authors: Chao Yang
Published: January 2025

With the acceleration of globalization, social media has become a core channel for transnational information dissemination, playing an increasingly crucial role in the process of international information "backflow." This study analyzes the impact of social media users' pre-understanding on information polarization behavior through artificial intelligence (AI) recommendation systems and verifies the influence pathways of various factors on polarization behavior using structural equation modeling (SEM). The findings reveal that users' ideological orientations, cultural affiliations, and individual psychological attributes significantly affect their willingness to engage in polarized information behavior. Moreover, narrative comparison serves as a mediating variable between ideological orientation, cultural affiliation, individual psychological attributes, and the willingness to engage in polarization. AI recommendation systems continuously adjust information flows based on users' historical preferences, further exacerbating information polarization. This study provides new perspectives on the cognitive and emotional mechanisms involved in modern information dissemination and offers a theoretical foundation for improving cross-cultural communication and optimizing information technologies.
Multi-Objective Optimization and Intelligent Algorithm Study for 1.5mw Doubly Fed Wind Turbine Blades
Authors: Fucheng Luo
Published: January 2025

Background: The demand for renewable energy has catapulted wind power to the forefront of sustainable energy options. Designing wind turbine blades is a multi-objective optimization problem with conflicting objectives. Optimization methods such as the weighted sum or the goal programming method fail in this context of conflicting objectives: minimum weight, cost, and strength. The study discusses the integration of artificial intelligence algorithms with conventional design approaches for optimal blades of a 1.5MW DFIG wind turbine. Advanced computational methods are used to integrate aerodynamic efficiency, structural durability, and economic feasibility.
Methods: This paper uses a broad meta-analytical approach with the integration of finite element analysis (FEA)and artificial intelligence optimization algorithms. This paper will consider three critical optimization techniques: genetic algorithms (GA), particle swarm optimization (PSO), and gray wolf optimization (GWO). The blade performance will be considered for various operating conditions, including aerodynamic efficiency, structural integrity, and cost. This analysis will be performed based on IEC 61400 standards and new frontiers of innovative design optimization techniques.
Results: Blade design optimization showed considerable improvement in using AI-driven approaches. For the GWO algorithm, better convergence is around 20% faster than the one obtained with traditional methods. This optimized design reduces weight by 8% and improves structural durability by an increase of 25% in fatigue life. For combined blade design, the maximum value of the power coefficient is 0.27, thus showing considerable improvement compared to the conventional designs. Besides, innovative material selection and design optimization could reduce the cost index by 17.6%.
Conclusion: These results highlight that incorporating AI algorithms with traditional methods has significantly enhanced wind turbine blade optimization. This methodology was developed in such a way that it achieved a balanced solution for multi-objective designs, including computational efficiency. This study stresses industrial feasibility by using advanced optimization techniques for real applications, thus demonstrating their impact on the future of wind energy technological development.
СЕМАНТИКА СИМВОЛІВ «ЗАКОН» І «БЛАГОДАТЬ» У ПРОПОВІДІ МИТРОПОЛИТА ІЛАРІОНА
Authors: БІЛОУС П. В.
Published: January 2025

У статті розглядається символічне значення ключових концертів урочистої проповіді київського митрополита Іларіона «Слово про Закон та Благодать». Внутрішня сутність Закону може бути сформульована одним словом: совість (сумління). Ця ідея виявилася продуктивною і для Нового Завіту, поняття совісті було взято у систему проголошених цінностей християнського віровчення. Символічне наповнення образу благодаті полягає в тому, що народження і жертовний подвиг Ісуса Христа, його заступництво «за всіх» тлумачиться як явлення великої Божої милості. У такої благодаті є важливий нюанс: якщо Бог Отець (Єгова, Елоаг, Всемогутній, Всевишній) символізує собою духовну досконалість і всемогутність, він є невидимий та абстрактний, то Ісус – це Боголюдина. Символи Закону та Благодаті у подальшому тексті Іларіона розгортаються своєрідно: замість них автор добирає ряд інших символічних образів, внутрішньо пов’язаних із основними. Так, на початку цього образного каскаду зринає антитезою протиставлення місяця і сонця (Закону і Благодаті). До цього примикає образна сентенція, яке протиставляє неволю і волю. Символ Благодаті потрібен був Іларіонові, щоб прославити Сина Божого, а також князя Володимира за епохальне рішення прийняти християнство у Руській землі. На всі лади прославляючи Благодать, надаючи цьому образу всеможливих символічних значень, автор «Слова» переконував своїх земляків у тому, що християнство – це саме та віра, яка дає можливість людині жити у чистоті та сподіватися на Царство небесне. При цьому акцентувалося на жертовному подвигові Ісуса Христа, котрий заступився за всіх людей і просвітив усіх своїм учинком, добровільно пішовши на Голгофу. Так розкривався людяний, благородний смисл християнства і робилися застереження щодо прийняття іншої віри, регламентованої Законом. Очевидно, на ту пору (ХІ століття) ця тема була актуальною, тому й висвітлена Іларіоном екзальтовано, ретельно, із застосуванням емоційно насичених образів-символів.
Minimally Invasive Kidney Surgery: Emerging Oncological Concerns
Authors:   Memorial Sloan Kettering Cancer Center, Weill Cornell School of Medicine, New York, New York 10065, Russo Paul
Published: January 2025

Minimally invasive kidney tumor surgery has evolved over the
last 33 years beginning with laparoscopic radical and later
partial nephrectomy and with more recent progression to robotic
assisted laparoscopic operations. The principal advantages of
minimally invasive surgery (MIS), also reported widely in other
surgical specialties, include less painful and more cosmetic
incisions and faster return to normal activities and work when
compared to similar open surgical operations. In addition,
reports of oncological outcomes that were noninferior to
similar open surgical operations led to worldwide expansion of
these approaches. However, from the earliest experience with
MIS utilized in oncological surgery to the present, reports of
atypical tumor recurrences (ATR) in locations not usually part
of the natural history of a specific cancer, including port sites,
tumor resection beds, and carcinomatosis, raised concerns
amongst surgeons and oncologists in many specialties. Surgeons
performing MIS techniques for kidney tumors reported similar
ATR. Although ATR is an uncommon clinical event, the impact on
the individual patient who experiences it usually leads to a heavy
treatment burden of surgical salvage with or without additional
systemic therapies and a low likelihood of complete remission.
The mechanisms by which ATR occur and its precise incidence
are unknown, but a more complete understanding of its etiology
and means of prevention is currently an unmet research need.
Surgeons in Europe and the United State have taken initial steps
to coordinate consortium data to address aspects of this serious
surgical problem.
OS REFLEXOS DA SENTENÇA PENAL NAS ESFERAS CÍVEL E ADMINISTRATIVA
Authors: Comerlatto Valmir Jorge
Published: January 2025

Este artigo é uma pesquisa bibliográfica, com objetivo de delinear quais os reflexos da sentença penal, e penal militar, nas esferas cível e administrativa, à luz da legislação, doutrina e jurisprudência pátrias. Vislumbra identificar quando a decisão judicial pode interferir ou vincular a administração, indicar novos rumos aos operadores do direito. É comum, pois, servidores públicos responderem a procedimentos administrativos e criminais, concomitantemente, pelo mesmo fato. E, como regra geral, a mesma ocorrência pode gerar responsabilização na esfera criminal, civil, e refletir na seara administrativa. Não há dúvida quanto a responsabilização cível, para reparação do dano em caso de condenação criminal, e, até mesmo em caso de absolvição, já que os objetivos jurídicos buscados são diversos. E, também, não há interdependência absoluta das esferas judiciais. A jurisprudência pátria se inclina no sentido de fazer valer na seara administrativa, as decisões absolutórias criminais, numa interpretação extensiva da norma, o que parece salutar, já que muitas injustiças se têm perpetuado naquela seara.
A CASSAÇÃO DOS PROVENTOS DO SERVIDOR PÚBLICO/MILITAR APOSENTADO – DIREITO OU ABUSO DE AUTORIDADE?
Authors: Comerlatto Valmir Jorge
Published: January 2025

Objetiva-se, por meio deste estudo, analisar o alcance prático do ato administrativo que submete o servidor militar a processo disciplinar de demissão, em especial quanto à possibilidade jurídica da cassação dos proventos daqueles que já estão na inatividade. Cabe destacar, que o tema é controvertido, e tem gerado inúmeras demandas judiciais, em decorrência de atos de exclusão de suas Corporações, de militares inativos, seguida da cassação dos seus proventos. A doutrina a respeito do tema ainda está dividida, mas a jurisprudência, inclusive dos Tribunais Superiores, tem evoluído no sentido de sedimentar o entendimento de que o militar aposentado não está sujeito a pena disciplinar, o que torna atrativo o presente trabalho, que não tem por escopo esgotar o assunto.
A IMPORTÂNCIA DA PRECLUSÃO PROCESSUAL CIVIL NA GARANTIA DA SEGURANÇA JURÍDICA
Authors: Comerlatto Valmir Jorge , Couto Charles César
Published: January 2025

A preclusão processual civil é essencial para a segurança jurídica e eficiência judicial. Este estudo bibliográfico enfatiza sua importância para garantir a segurança jurídica, fundamental ao Estado de Direito. Compreender profundamente esse instituto é crucial para aplicar corretamente o direito processual e manter a regularidade dos procedimentos judiciais, promovendo justiça e protegendo os direitos das partes. A preclusão contribui para a segurança jurídica, celeridade processual e devido processo legal, estabilizando decisões judiciais. Destacam-se seus benefícios para a eficácia do processo civil e as consequências de sua ausência para a segurança jurídica. Este estudo revela a indispensabilidade da preclusão para a estabilidade e eficácia do processo civil. A compreensão profunda desse instituto é crucial para a aplicação adequada do direito processual, promovendo regularidade e fluidez nos procedimentos judiciais. O propósito é elucidar os aspectos da preclusão e promover debates construtivos.
TÉCNICAS DE SAGRIA PARA O REJUVENESCIMENTO TECIDUAL
Authors: Araújo Fabiana Fernandes de
Published: January 2025

Este estudo analisa a utilização da sangria terapêutica no contexto do rejuvenescimento tecidual, destacando sua associação com técnicas modernas, como o peeling com polihidroxiácidos e a intradermoterapia. A pesquisa explora os benefícios da sangria na retração tecidual, melhora da flacidez e revitalização da pele, com foco em tratamentos estéticos. Além disso, são discutidos procedimentos inovadores, como a troca de plasma sanguíneo, que demonstram potencial no combate ao envelhecimento celular. Embora os resultados em modelos experimentais sejam encorajadores, são necessárias mais pesquisas clínicas para validar a segurança e eficácia dessas abordagens em humanos. O estudo conclui que a sangria, combinada a técnicas contemporâneas, pode ser uma ferramenta importante na medicina regenerativa e estética.
ESTRATÉGIAS DE FIDELIZAÇÃO EM LABORATÓRIOS DE ANÁLISES CLÍNICAS: REVISÃO DE ESCOPO
Authors: Araújo Fabiana Fernandes de
Published: January 2025

Este trabalho explora as estratégias de fidelização utilizadas pelos laboratórios de análises clínicas, focando em inovações na prestação de serviços. Trata-se de uma revisão integrativa da literatura de artigos retirados de bases de dados eletrônicas, publicados entre 2019 e 2023, em língua portuguesa e inglesa que fossem de domínio público e pudessem ser lidos na íntegra. A análise revelou que a qualidade no atendimento, a inovação tecnológica e programas de benefícios personalizados são as ferramentas mais utilizadas para a fidelização dos pacientes/clientes. Além disso, foi observado que as iniciativas tecnológicas, como sistemas automatizados e aplicativos móveis, contribuem significativamente para a satisfação dos clientes, enquanto estratégias de personalização aumentam a lealdade do cliente. O estudo conclui que a adoção de estratégias multicanais e a atenção à segurança da informação são cruciais para fortalecer a confiança e consolidar relações duradouras com os clientes.
ANALISIS MODERASI PROFITABILITAS PADA HUBUNGAN STRUKTUR MODAL DAN UKURAN PERUSAHAAN TERHADAP NILAI PERUSAHAAN: STUDI PADA PERUSAHAAN NON-CYCLICALS
Authors: Ineke  , Viriany
Published: January 2025

ABSTRACT
The purpose of this study was to examine the capital structure, and firm size effect on firm value with profitabiliy as a moderating variable in non-cyclical sector companies listed on the Indonesia Stock Exchange (IDX) for the 2021-2023 period. The selected sample was 23 companies using the purposive sampling method. Data analysis using Eviews 12 and Microsoft Excel 2021. Based on the results of the t-test result, capital structure has a positive and significant effect on firm value, while firm size has a negative and insignificant effect on firm value, then profitabiliy as a moderating variable cannot strengthen the relationship between capital structure and firm size on firm value.
Keywords: Capital Structure, Firm Size, Profitability, Firm Value.
DETERMINAN TAX AVOIDANCE PADA PERUSAHAAN SEKTOR PERTAMBANGAN
Authors: Rahma Adijanto Vebila Kalisa , Isthika Wikan , Ratnawati Juli , Oktafiyani Melati
Published: January 2025

Penelitian ini dengan jumlah observasi 179, meneliti pengaruh financial distress, profitability, dan leverage berpengaruh signifikan terhadap tax avoidance. Menggunakan pendekatan kuantitatif dan data sekunder yang digunakan dari perusahaan sektor pertambangan yang telah mempublikasikan laporan tahunan di situs resmi Bursa Efek Indonesia periode 2021-2023. Metode pengambilan sampel yang digunakan adalah purposive sampling dan menggunakan SPSS 25 untuk menganalisis data menggunakan teknik regresi linear berganda.. Hasil penelitian menunjukkan bahwa financial distress, profitability, dan leverage berpengaruh signifikan terhadap tax avoidance.
Density forecast transformations
Authors: Mogliani Matteo , Odendahl Florens
Published: January 2025

The common choice of using a direct forecasting scheme implies that the individual predictions ignore information on their cross-horizon dependence. However, this dependence is needed if the forecaster has to construct, based on direct density forecasts, predictive objects that are functions of several horizons (e.g. when constructing annual-average growth rates from quarter-on-quarter growth rates). To address this issue we propose using copulas to combine the individual h-step-ahead predictive distributions into one joint predictive distribution. Our method is particularly appealing to those for whom changing the direct forecasting specification is too costly. We use a Monte Carlo study to demonstrate that our approach leads to a better approximation of the true density than an approach that ignores the potential dependence. We show the superior performance of our method using several empirical examples, where we construct (i) quarterly forecasts using month-on-month direct forecasts, (ii) annual-average forecasts using monthly year-on-year direct forecasts, and (iii) annual-average forecasts using quarter-on-quarter direct forecasts.
OPTIMALISASI PENJUALAN MAKANAN RINGAN FORUM DISABILITAS MADAMBA RARA DI KOTA PALU MELALUI SHOPEE DENGAN PENDEKATAN ASSET BASED COMMUNITY DEVELOPMENT (ABCD)
Authors: Ahmad Haekal  , Racmawati A. Rifai  , N. Syamsu  , Dewi Salmita  , M. Saiful. H
Published: January 2025

Kegiatan pengabdian masyarakat ini berjudul "Optimalisasi Penjualan Makanan Ringan Forum Disabilitas Madamba Rara di Kota Palu Melalui Shopee dengan Pendekatan Asset Based Community Development (ABCD)". Isu utama yang diangkat adalah tantangan ekonomi yang dihadapi oleh komunitas disabilitas di Kota Palu. Tujuan dari kegiatan ini adalah untuk meningkatkan pendapatan anggota forum melalui penjualan produk makanan ringan secara online, serta memberdayakan mereka dengan keterampilan bisnis yang diperlukan. Metode yang digunakan adalah pendekatan ABCD, yang berfokus pada identifikasi aset dan potensi komunitas, diikuti dengan pelatihan pemasaran digital dan manajemen e-commerce. Hasil dari kegiatan ini menunjukkan peningkatan signifikan dalam pendapatan dan keterampilan anggota, serta penguatan solidaritas dalam komunitas, yang berkontribusi pada kemandirian ekonomi penyandang disabilitas.
Rogue Scholar Newsletter January 2025
Authors: Fenner Martin
Published: January 2025

This is the first issue of a new monthly newsletter from the Rogue Scholar science blog archive. The newsletter will report on new blogs that have joined the platform, important technical updates in Rogue Scholar infrastructure, community updates, and other news relevant to Rogue Scholar users.Blogs added to Rogue Scholar Seven blogs were added in January.
STRATEGI PIMPINAN GAYA TRANSFORMASIONAL PADA KINERJA PEGAWAI DI DINAS KOPERASI DAN USAHA MIKRO KABUPATEN KEDIRI
Authors: Rahayuningsih Lisa
Published: January 2025

Each leader has a program followed by strategic planning in the leadership process. The implementation of a transformational leadership style affects the performance of employees in government agencies, which also affects the implementation of ASN management. Because ASN is part of the Human Resources supporting the achievement of the vision and mission of government agencies. The research was conducted at the Kediri Regency Cooperative and Micro Business Office with the aim of analyzing the transformational style leadership strategy that can encourage employee performance to achieve work productivity as expected. This research method is qualitative, research instruments in the form of interview guidelines, data collection techniques with direct interviews. The interview technique is structured on a format that has been made by the researcher. The informants in this study were the head of the institutional and supervisory fields and the secretary of the Kediri Regency Cooperative and Micro Business Office. The results showed that the leadership has shown a leadership style in accordance with the four dimensions of leadership from Bernard M.Bass 1978. Then the strategy implemented encourages the improvement of the performance of employees who work in accordance with their jib description through: providing welfare to employees, encouraging employees to be disciplined at work, commitment to the organization which is shown by loyalty to work, employees need to be given a stimulus from outside as well for their welfare so that their commitment affects long-term performance improvement, organizations need to assist employees in improving their performance by involving professional development, welfare support, and creating a conducive work environment.