bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exister publiquement. Protestantisme et communication
Authors: Keller Paul 
Published: November 2023

Le monde associatif, dont les Églises font partie, a longtemps joué un rôle de premier plan dans la mise en circulation des messages. Aujourd’hui, son type de communication sociale est dévalué par l’omniprésence des médias et la fascination qu’ils exercent.
A partir d’une étude de l’IFOP, Paul Keller cherche à repérer les principales questions que le protestantisme doit affronter, y compris en son sein, s’il veut être un meilleur communicant et prendre place dans l’espace public. Quelle communication et à quel prix ?
Jésus de Montréal : flagrant délit d’évangile
Authors: Weiss-Déaux Solange 
Published: November 2023

Un chef-d’œuvre bouleverse par l’audace de la nouveauté, l’impossibilité de cerner toutes ses significations...
Oubli, censures, dictature de l’univoque : trois périls qui menacent un chef-d’œuvre...
Ainsi en est-il d’un récit d’Évangile, explique Solange Weiss-Déaux ; ainsi en est-il du film de Denys Arcand, Jésus de Montréal.
Estudo de caso: a importância dos processos financeiros dentro de uma organização
Authors: Ribeiro Ademilson Pereira , De Abreu Ademir José , Costa Larissa Monteiro , Coelho Ana Julia Martins 
Published: November 2023

Com as mudanças no mercado financeiro, a gestão financeira passou a ter papel relevante na tomada de decisões empresariais, na utilização criteriosa dos recursos financeiros e, principalmente, na análise econômico-financeira da empresa. Em qualquer área de atividade o planejamento financeiro é essencial para que uma organização alcance resultados positivos. Assim, priorizar o desenvolvimento de um plano forte reduzirá os riscos para a organização e os objetivos traçados serão facilmente alcançados. Com isso, o objetivo deste trabalho foi determinando a importância do planejamento financeiro para o sucesso da organização. Este objetivo foi alcançado por pesquisa bibliográfica usando artigos acadêmicos, livros, sites e revistas que abordam o tema. Com a realização do estudo, foi possível analisar como o planejamento e a execução financeira adequados possibilitam que uma organização se mantenha competitiva e, consequentemente, obtenha sucesso nos negócios e aumente a lucratividade.
Magnetismo em materiais orgânicos
Authors: De Paula Fernando Rogério 
Published: November 2023

As propriedades magnéticas de pastilhas prensadas de poli (3-hexiltiofeno) (P3HT) parcialmente dopado com o íon foram estudadas na faixa de 5 a 300 K, e uma fase ferromagnética foi observada à temperatura ambiente. A origem do momento magnético no P3HT e sua interação ferromagnética estão relacionadas à formação de polarons na cadeia polimérica durante processos de oxidação/redução.
THE RELATIONSHIP BETWEEN THE ENTREPRENEURS’ SOCIAL CAPITAL AND NEW VENTURE GROWTH
Authors: Xiang Chuanxue , Zhou Wenjie 
Published: November 2023

Entrepreneurial activities can stimulate the vitality of the market economy, promote the flow of production factors and the adjustment of industrial structure, and play an important role in the economic and social development of a country or region. However, the social capital of the entrepreneur is very important for the new venture to break through the congenital defect and industry barrier and get the chance of growth.
The quantity and quality of social capital owned by entrepreneurs can promote the growth of start-ups, and it can also promote the growth of enterprises after improving the effect of identifying growth opportunities. This paper focuses on the relationship between the social capital of entrepreneurs and the growth of New Ventures and analyzes the relationship between the social capital of entrepreneurs, the recognition of growth opportunities, and the growth of new ventures with the growth opportunity as the intermediary variable, this paper analyzes the mechanism of the influence of entrepreneur social capital on the growth of new ventures, and constructs the theoretical model of “Entrepreneur social capital-recognition of growth opportunity-growth of new ventures”, this study considers the moderating effect of business environment dynamics on Growth Opportunity Identification and start-up growth. Through the test, we draw the following conclusions: first, the social capital of entrepreneurs has a positive impact on the growth of new ventures; second, the social capital of entrepreneurs has a positive impact on the identification of growth opportunities; Third, the growth opportunity recognition plays an intermediary role in the entrepreneur social capital to the new venture growth; fourth, the dynamic business environment plays a moderating role in the growth opportunity recognition and the new venture growth.
NEURAL NETWORK MODEL FOR AVERAGE ANNUAL NET EARNINGS DETERMINATION IN EU ECONOMIES
Authors: Lakić Slobodan , Ćetković Jasmina , Knežević Miloš , Žarković Miloš , Beljkaš Željka , Lazarevska Marijana , Šehović Damir 
Published: November 2023

In macroeconomic modeling, the application of artificial neural networks (ANN) for forecasting key macroeconomic variables is present to a large extent. Precise forecasts of economic conditions are of crucial importance for the rational planning of overall economic efficiency in order to reduce the uncertainty of future economic trends. The purpose of constructing economic models is to determine the influence of changes in the value of certain economic variables on the model defined output variable.
Starting from earnings as a key concept in economics, the aim of the research is to produce a forecast model for determining the average annual net earnings, depending on the movement of key economic variables, i.e. from measures of economic performance. Based on a series of data relating to the period from 2005 to 2016, for the countries of the European Union, a high-reliability forecast model was developed using the most widely utilized type of ANN – a Multilayer Perceptron with a backpropagation algorithm. Specifically, the forecast model built to determine the earnings showed an average deviation of the real from the forecast size of up to 13%. Understanding and using such and similar models is crucial for policymakers when creating economic policies.
GPT-3.5 vs. GPT-4, Unveiling OpenAI’s Latest Breakthrough in Language Models
Authors: Singh Shehul , Singh Nehul 
Published: November 2023

<p>OpenAI’s continuous efforts to push our knowledge and build on it for natural language processing have led to the development of GPT-4, the highly acclaimed successor of GPT-3. Built upon the Generative Pretrained Transformer architecture (GPT), it showcases significant advancements in natural language processing, as it now incorporates image handling capabilities alongside its vast data and computational resources. This article delves into a comprehensive comparison between GPT-3 and GPT-4 exploring their similarities, differences, cost of implementation etc. Through a comprehensive analysis of their conversational abilities, accuracy, creativity, and reliability, this article offers valuable insights into the distinctive features and performance enhancements of GPT-4 over its predecessor. As the latest iteration of OpenAI’s language models, GPT-4 promises to redefine the landscape of natural language processing and unlock new possibilities in various domains. </p>
Adaptive Grid-Synchronization Control with Dual Features of Grid-Forming and Grid-Following for VSCs
Authors: Xiao Huangqing , He Hongliang , Zhang Lidong , Liu Teng 
Published: November 2023

<p>An adaptive grid-synchronization control for voltage source converters (VSCs) is proposed. The proposed control has both grid-forming (GFM) and grid-following (GFL) ingredients, which makes it exhibit GFM-GFL dual features and the advantages of both. In addition, the VSC's synchronization performance can be dynamically optimized by adaptively adjusting the GFM-GFL weighting coefficients. Theoretical and simulation analyses are performed to verify the effectiveness of the proposed control. </p>
Measurements and Analysis of Near-Shore Breakers in a Model-Scale Surf Environment
Authors: Landry Blake , Li Chuan , Harwood Casey 
Published: November 2023

<p> This paper describes the development and deployment of a new type of wave sensor, termed the ΔF<sup>2</sup>luID (pronounced delta fluid), for detailed measurements of a wave's profile during wave breaking. A large-scale laboratory measurement campaign was carried out to characterize the shoaling and breaking of waves in shallow water in a model-scale surf environment. Experiments were conducted in the Hydraulic Wave Basin Facility at the University of Iowa, with a compound planar beach installed opposite the wavemakers, which was used to produce eight wave conditions spanning deep water wavelengths from 2 to 6.5 meters (periods of 1.1 to 2 seconds) and wave amplitudes of 6.5 to 18 centimeters. The ΔF<sup>2</sup>luID sensors were co-located with ultrasonic wave gauges and arrayed across the shoaling and breaking regions of the wave field, and data from the two sensor types were hybridized to produce wave profiles that accurately captured the steepening wave profile, the overturning or spilling wave face, and the receding waterline on the wave back.<br>
</p>
<p>A wave-by-wave statistical analysis is presented, which shows that the wave field achieves stationarity within a short duration after starting the wavemaker, and that wave heights follow an approximately normal distribution. Within the stationary process, median wave heights show a local maximum that corresponds to the observed breaker line location, after which median wave heights quickly diminish and wave height variance grows considerably. Ensemble mean wave profiles clearly show the evolution of the wave profiles across the shoaling region, with the transformation from a nonlinear, sharply-peaked wave to an overturning/plunging breaker, followed by a bore-like spilling profile. Ensemble wave profiles are used to quantify the wave set-up and the approximate normalized energy flux along the cross-shore direction, showing a gradual rise in mean water level as waves approached the shore, which grow with wavelength and wave height. Energy dissipation was evident as the waves passed through the shoaling and breaking regions, with a much more gradual rate of dissipation observed for shorter and shallower waves. A preliminary parameterization of the face profile of a breaking wave produces a good agreement with existing theoretical models, which hold promise for parameterizing wave profiles across the surf zone using non-optical measurement techniques. </p>
Enhancing Open-World Bacterial Raman Spectra Identification by Feature Regularization for Improved Resilience against Unknown Classes
Authors: Balytskyi Yaroslav 
Published: November 2023

<p>The combination of Deep Learning techniques and Raman spectroscopy shows great potential offering precise and prompt identification of pathogenic bacteria in clinical settings. However, the traditional closed-set classification approaches assume that all test samples belong to one of the known pathogens, and their applicability is limited since the clinical environment is inherently unpredictable and dynamic, unknown or emerging pathogens may not be included in the available catalogs. We demonstrate that the current state-of-the-art Neural Networks identifying pathogens through Raman spectra are vulnerable to unknown inputs, resulting in an uncontrollable false positive rate. To address this issue, first, we developed a novel ensemble of ResNet architectures combined with the attention mechanism which outperforms existing closed-world methods, achieving an accuracy of 87.8±0.1% compared to the best available model’s accuracy of 86.7 ± 0.4%. Second, through the integration of feature regularization by the Objectosphere loss function, our model achieves both high accuracy in identifying known pathogens from the catalog and effectively separates unknown samples drastically reducing the false positive rate. Finally, the proposed feature regularization method during training significantly enhances the performance of out-ofdistribution detectors during the inference phase improving the reliability of the detection of unknown classes. Our novel algorithm for Raman spectroscopy enables the detection of unknown, uncatalogued, and emerging pathogens providing the flexibility to adapt to future pathogens that may emerge, and has the potential to improve the reliability of Raman-based solutions in dynamic operating environments where accuracy is critical, such as public safety applications. </p>
Comparison of seismic analysis methods within analytical approach
Authors: Goryunov Oleg V. 
Published: November 2023

Introduction. In the nuclear power industry, ensuring nuclear and radiation safety is of paramount importance, therefore all aspects that may affect safety are considered in a deterministic and probabilistic approaches.
As part of the safety justification, consideration of earthquakes of various intensity levels is regulated by safety standards. At the same time, the deterministic analysis of the earthquake and the models and calculation methods used are quite well-established, and in the probabilistic way, a relatively large number of different approaches have been developed and used as part of PSA level 1. The results of the evaluation of the conditional probability of failure of system elements, buildings and structures depending on the intensity of seismic impact on the free ground surface of the site depends on the approach used for the calculations.
Aims. To perform a comparative analysis of various methods for constructing a failure probability curve under seismic impact.
Materials and methods. A comparative analysis of the use of various approaches to the construction of a failure curve under seismic impact for a relatively simple case is performed. The results of the calculations showed that the scaling method leads to the most conservative results. The use of linearization methods and the method of moments give more realistic estimates, which can have a positive impact on the results of PSA level 1.
Conclusions. A comparative analysis of some approaches has practical interest and is relevant, since various methods can contribute more than 50% to the core damage frequency, which creates a significant imbalance in the safety of nuclear power plants.
PENGARUH KREDIBILITAS MEREK DAN CITRA MEREK TERHADAP EKUITAS MEREK PRODUK “SAVER” PT CEMAKO LESTARI INDONESIA
Authors: Putra Caezar Arbianto Pradana 
Published: November 2023

Abstrak: Kredibilitas merek digunakan oleh pemasar untuk menyampaikan pesan dari suatu merek. Saver sebagai merek minyak pelumas dan bahan kimia menggunakan nama mereka sebagai nilai untuk meningkatkan citra dan ekuitas merek mereka. Penggunaan kredibilitas merek dan citra merek ini diharapkan dapat meningkatkan ekuitas merek dari Saver bagi konsumen mereka. Ini sangat penting dalam industri B2B ini karena semua konsumen sangat unik.Responden dalam penelitian ini adalah 100 pria dan wanita yang merupakan konsumen produk Saver di Jawa Timur, Indonesia. Penelitian ini menggunakan pendekatan kuantitatif yang menguji beberapa hipotesis menggunakan analisis PLS SEM (Structural Equation Modeling). Hasil penelitian ini menunjukkan bahwa kredibilitas merek mempengaruhi ekuitas merek Saver secara signifikan dengan probabilitas sebesar 1,964, dan citra merek Saver sebesar 16,814. Citra merek juga mempengaruhi ekuitas merek Saver secara signifikan sebesar 6,06. Maka dari itu citra merek dari Saver juga akan membantu meningkatkan ekuitas.

Kata kunci: Ekuitas Merek, Kredibilitas Merek, Citra Merek, Pelumas dan Oli Kimia

Abstract: Brand credibility are used by marketers to convey messages from a brand. Saver as a lubricant and chemical oil brand uses their name as a value to increase their brand image and equity. The use of these brand credibliity and brand image is expected to increase brand equity from Saver for their consumers. It’s really important in this B2B industry because all consumer is very unique.Respondents in this study were 100 men and women who is a consumer of the Saver product in East Java, Indonesia. This study uses a quantitative approach that tests several hypotheses using SEM (Structural Equation Modeling) PLS analysis. The results of this study indicate that the brand credibility affect the Saver brand equity significantly with probability 1,964 and also affects 16,814 the establishment of Saver brand image. Brand image is affect as much 6,06 the equity of the Saver brand. Then brand image from Saver also help improve the equity.

Keywords: Brand Equity, Brand Credibility, Brand Image, Lubricant and Chemical Oil
Hubungan Tingkat Pengetahuan dengan Kepatuhan Minum Obat Pada Penderita Hipertensi Usia Produktif
Authors: Toar Jilly , Sumendap Gilbert 
Published: November 2023

Hypertension is still a major health problem in Indonesia because it is a common cause of increased mortality and morbidity in the community due to uncontrolled hypertension. One of the causes of uncontrolled blood pressure is the lack of knowledge and awareness of hypertension sufferers. This study aims to determine whether there is a relationship between the level of knowledge and adherence to taking medication in people with hypertension of productive age in the work area of ​​the Rurukan Health Center. This type of research is a quantitative research with a correlational descriptive design with a cross-sectional approach. The sampling technique was random sampling with a total of 80 people. Data analysis using Chi Square. Results: There is no significant relationship between the level of knowledge and medication adherence with a p-value of 0.757 > 0.05. Conclusion: The level of patient knowledge has no relationship with medication adherence in hypertension sufferers. Suggestions for further research are to look at other variables such us economic factors and family support which are related to the level of medication adherence.
Keywords: Hypertension, Knowledge, Medication Adherence.
Abstrak
Hipertensi masih menjadi masalah kesehatan utama di Indonesia karena merupakan penyebab umum terjadinya peningkatan angka mortalitas dan morbiditas pada masyarakat akibat dari tidak terkontrolnya hipertensi. Salah satu penyebab tekanan darah yang tidak terkontrol adalah kurangnya pengetahuan dan kesadaran dari penderita hipertensi. Penelitian ini bertujuan untuk mengetahui apakah terdapat hubungan antara tingkat pengetahuan terhadap kepatuhan minum obat pada penderita hipertensi usia produktif di wilayah kejra puskesmas rurukan. Jenis Penelitian adalah penelitian kuantitatif dengan rancangan deskriptif korelasional dengan pendekatan cross-sectional. Teknik pengambilan sampel adalah random sampling dengan jumlah 80 orang. Analisis data menggunakan Chi-Square. Hasil : Tidak ada hubungan yang signifikan antara tingkat pengetahuan dengan kepatuhan minum obat dengan nilai p-value 0,757 > 0,05. Kesimpulan: Tingkat pengetahuan pasien tidak memiliki hubungan dalam kepatuhan minum obat pada penderita hipertensi. Saran untuk penelitian lanjutan agar melihat variabel lain seperti faktor ekonomi dan dukungan keluarga yang berhubungan dengan tingkat kepatuhan minum obat.
Kata Kunci: Hipertensi, Kepatuhan Minum Obat, Pengetahuan
Shifts in drugs use after the COVID-19 pandemic based on the analysis of ABC, VEN and ABC-VEN matrix
Authors: Yulistiani Yulistiani , Hamidi Nur Fauzi , Utomo Febriansyah Nur , Hamidah Khusnul Fitri 
Published: November 2023

Background: The existence of the COVID-19 pandemic has caused a shift in medicine use in patients.
Objective: This study aims to determine patterns and differences in medicine use at Airlangga University Hospital before (2018 and 2019) and after (2020–2022) the COVID-19 pandemic based on ABC, VEN and ABC-VEN matrix analysis.
Methods: This study is a retrospective cross-sectional study. Data on all patients’ medicine use items between January 1st, 2018 – December 31st, 2022 which obtained from the hospital information system will be analyzed according to category based on the principles of ABC analysis, VEN, and the ABC-VEN combination and a statistical t-test analysis in SPSS to find out differences in medicine use at the Universitas Airlangga Hospital in the pre-pandemic era of COVID-19 versus the era of the COVID-19 pandemic.
Results: Based on the results of the study, a total of 6893 drug items were obtained. There was a significant shift in the pattern of non-essential medicines use prescribed to patients after the COVID-19 pandemic (p &lt; 0,05).
Conclusion: There was a shift in the pattern of use of prescribed non-essential medicines after the COVID-19 pandemic compared to before the pandemic occurred.
La fabrique d’un « bien commun » comme lutte de pouvoir : la pinède de Saint-Brévin, 1850-1900
Authors: Sébileau Arnaud 
Published: November 2023

L’article prend pour objet l’histoire sociale de la propriété et de l’usage d’une pinède située sur une commune éponyme – Saint-Brévin-les-Pins – dans les dernières décennies du xix e siècle, sa genèse et son institutionnalisation en bien commun. À partir du dépouillement d’archives départementales et nationales visant à caractériser finement les catégories sociales engagées dans cette histoire, il s’agit d’interroger la fabrique localisée d’un bien commun et de montrer que la pinède, et son contrôle, offrent l’occasion de luttes à propos de l’exercice de la domination politique et de la maîtrise des sociabilités des catégories dominantes.
Evaluation of interleukin-33 & sST2 levels in type-2 diabetic mellitus patients with or without metabolic syndrome
Authors: Singh Himadri , Khadanga Sagar , Goel Sudhir K. , Majumder Syamantak , Baig Mirza S. , Bhatia Vikas , Chaudhary Neha , Saluja Rohit 
Published: November 2023

Background & objectives:
Diabetes mellitus (DM) is characterized by increase in blood glucose levels due to defective insulin secretion or insulin sensitivity. Interleukins (ILs) are known to play an important role in the pathogenesis of DM. The aim of this study was to investigate the serum concentration of IL-33 and its receptor soluble ST2 (sST2) in patients with diabetes and draw a correlation between their serum levels and different standard glycaemic indices of patients affected with type-2 diabetes with or without metabolic syndrome.

Methods:
Thirty type-2 diabetic individuals and 30 healthy controls were recruited for this study. Serum and plasma were separated by centrifugation of blood for quantitative measurement of IL-33, sST2 and other biochemical parameters.

Results:
It was observed that serum IL-33 levels were significantly less and sST2 levels were significantly high in type-2 diabetic individuals as compared to healthy controls. A significant correlation between the serum IL-33 concentration and fasting plasma glucose (FPG) and postprandial plasma glucose (PPG) levels were also found. Additionally, data also elucidated that serum levels of high-density lipoprotein, low-density lipoprotein or triglyceride in type-2 diabetics did not influence the serum levels of IL-33 and sST2, thereby excluding these factors as the major drivers of changes in serum IL-33 and sST2 concentration.

Interpretation & conclusions:
This study demonstrated alteration in serum levels of IL-33 and sST2 in type-2 diabetic individuals. Further mechanistic studies, focusing on the progression of type-2 diabetes could elucidate the involvement of IL-33 in the cellular acquisition of insulin resistance as observed in type-2 diabetics.