bluuebunny/crossref_metadata_2025_split huggingface dataset:
Obesidad infantil en estudiantes de educación primaria en Puno, Perú (Childhood obesity among elementary school students in Puno, Peru)
Authors: Chui Betancur Heber Nehemias , Puño Canqui Luis Guillermo , Romero Yapuchura Yesly Yulisa , Pérez Argollo Katia , Chura Cahuana Samuel Álvaro , Condori Castillo Wido Willam 
Published: March 2024

El estudio muestra que los hábitos de vida saludable son el conjunto de prácticas alimentarias, de higiene, cuidado personal, autorregulación, relaciones interpersonales, actividad física y descanso que nos ayudan a vivir una vida más saludable. El propósito de este estudio fue determinar los factores que inciden en la obesidad infantil de los estudiantes de edad escolar de la región de Puno-Perú. Esta investigación adoptó un enfoque cuantitativo, de tipo no experimental, con un diseño explicativo correlacional. En este estudio participaron 315 estudiantes de 9 a 13 años de las cuales 195 fueron mujeres (61.9%) y 120 varones (38.1%); seguidamente, se utilizó el modelo de regresión lineal múltiple para examinar la asociación de la obesidad infantil, con los hábitos de vida saludable, actividad física, horas de internet y horas de TV. Para evaluar las correcciones, se empleó la correlación de Pearson. Los resultados muestran los coeficientes estandarizados β, en donde indican que los buenos hábitos de vida saludable (β = -0,353; p<0.001) y la actividad física (β = -0,362; p<0.001), fueron los factores que más influyen de manera negativa en la obesidad Infantil (modelo general: R2 = 0,720; p < 0,001). En conclusión, los hábitos de vida saludable son imprescindibles para mantener el control sobre la obesidad infantil.
Palabras claves: Actividad física, hábitos de vida saludable, uso de horas de internet, uso de horas de TV, obesidad infantil.

Abstract. The study demonstrates that healthy lifestyle habits encompass a range of practices, including eating habits, hygiene, personal care, self-regulation, interpersonal relationships, physical activity, and rest, that promote a healthier life. The aim of this study was to identify the factors that contribute to childhood obesity in school-age students in the Puno-Peru region. This research employed a quantitative, non-experimental approach with a correlational explanatory design. A total of 315 students between the ages of 9 and 13 participated in this study. Of these, 195 were female (61.9%) and 120 were male (38.1%). A multiple linear regression model was used to examine the association between childhood obesity and healthy lifestyle habits, physical activity, hours of internet use, and hours of TV. Pearson's correlation was used to evaluate the results. The standardized β coefficients reveal that good healthy lifestyle habits (β = -0.353; p<0.001) and physical activity (β = -0.362; p<0.001) had the greatest negative impact on childhood obesity (general model: R2 = 0.720; p < 0.001). In conclusion, maintaining healthy lifestyle habits is essential for controlling childhood obesity.
Keywords: Physical activity, healthy lifestyle habits, use of internet hours, use of TV hours, childhood obesity.
Prospects for small business development in the context of its interaction with big business
Authors: Кислицына Л.В. , Иванова В.И. , Минасян А.Х. 
Published: March 2024

Развитие малого бизнеса является одной из приоритетных задач настоящего времени. Его роль в экономике невозможно переоценить. Создание рабочих мест, мобильность и гибкость в части реагирования на изменения рыночной конъюнктуры являются отличительными признаками этого формата бизнеса. Основные резервы развития малого предпринимательства кроются в государственной поддержке по различным направлениям. При этом актуальность представляет взаимодействие малого бизнеса с крупным, обладающим значительными финансовыми ресурсами и имеющим выход на рынок капитала. Возможности данного взаимодействия постоянно увеличиваются в условиях появления новых форм финансового взаимодействия, таких как, например, аутсорсинг. Именно аспекту финансового взаимодействия малого и крупного бизнеса посвящена настоящая статья. Ее содержание может быть полезно для начинающих предпринимателей, а также для домохозяйств, рассматривающих формирование и развитие бизнеса как способ инвестирования и сбережения личного капитала.
The development of small businesses is one of the priorities of the present. Its role in the economy cannot be overstated. Job creation, mobility and flexibility in responding to changes in market conditions are hallmarks of this business format. The main reserves of small business development lie in state support in various areas. At the same time, the actual direction may be the interaction of small businesses with large, possessing significant financial resources and having access to the capital market. The possibilities of this interaction are constantly increasing in the context of the emergence of new forms of financial interaction, such as, for example, outsourcing. This article is devoted to the aspect of financial interaction between small and large businesses. Its content may have utility for aspiring entrepreneurs, as well as for households considering the formation and development of a business as a way to invest and save personal capital.
Examining the relationship between the atherogenic index of plasma and coronary plaque burden: insights from a retrospective intravascular ultrasound analysis
Authors: Erdoğan Aslan , Özkan Eyüp 
Published: March 2024

Aims: In the context of coronary artery disease development, inflammation and lipid metabolism play significant roles. This study explores the link between the Atherogenic Index of Plasma (AIP) and plaque burden in intravascular ultrasound (IVUS) examined patients.
Methods: A retrospective analysis included seventy-six consecutive IVUS patients from June 2020 to May 2023. AIP, calculated as the log of plasma triglyceride divided by high-density lipoprotein cholesterol, measured atherogenicity. Plaque burden, a percentage, was determined by dividing the total plaque area by the total vessel area. Multivariate regression and Spearman’s correlation analyzed the relationship between AIP and high plaque burden.
Results: The median age was 59 years, with 72.4% males. Univariate analysis identified age, diabetes mellitus (DM), smoking, and AIP as plaque burden predictors. Multivariate analysis showed AIP (OR=1.53, 95% CI:1.12-2.02, p=0.021) and DM independently predicted high plaque burden (OR=1.03, 95% CI:1.01-1.45, p=0.044). Spearman’s correlation indicated a positive correlation between AIP and high plaque burden (rho: 0.682, p
Ethical Considerations in the Development and Deployment of AI Systems
Authors: Konidena Bhargav Kumar , Malaiyappan Jesu Narkarunai Arasu , Tadimarri Anish 
Published: March 2024

Purpose: Complex artificial intelligence algorithms may make it hard to understand how they reach certain conclusions or decisions. Lack of transparency raises concerns about bias, discrimination, and opacity, all of which may detract from trust in AI systems. Businesses and developers should prioritize creating AI systems that are easy to understand and explain so that users can understand the reasoning behind their results. Second, fairness and nondiscrimination are fundamental principles. It is possible for AI systems to unintentionally provide biased or unfair outcomes by reinforcing or amplifying biases already seen in training data. Make sure that AI systems are trained on diverse and representative datasets and that they are tested for bias often; this is of the highest significance.
Materials and Methods: By analyzing the co-occurrence of keywords, we can see that there are recurring themes when it comes to AI ethics. These topics include big data, social value, algorithms, and ethical aspects.
Findings: Critical works that have had a major impact on the field may be found using citation analysis. The results shed light on how AI ethics is always changing as a result of several factors coming together, such as the social effect of technology and the management of stakeholders.
Implications to Theory, Practice and Policy: Researchers, legislators, and practitioners may all benefit from the study's findings, which will help direct the development of AI in a way that is ethical and consistent with human values.
Osmanlı Genç Dernekleri ve Cumhuriyet'e Mirası
Authors: Avcı Orhan 
Published: March 2024

Osmanlı Genç Dernekleri, Birinci Dünya Savaşı yıllarında Harbiye Nezareti'ne bağlı bir müfettişlik olarak kurulmuştur. Enver Paşa'nın savaş yıllarında oluşturduğu kurumlardan biri olarak Genç Dernekleri, silah altına alınmadan önce gençlere askerî eğitim görmelerini sağlama amacına yönelik bir faaliyet alanı vardı. İmparatorluğun 1916'dan itibaren mevcut sınırları içerisinde 12-17 yaş arasındaki erkek çocuklara "Gürbüz", askerlik çağına kadar olan gençlere de "Dinç" adının verildiği bir örgüt oluşturuldu.
Bu çocuklar ve gençler belirli beden eğitimi hareketleri yanında özellikle Dinçler askerî eğitimin temellerini askerlik hizmetine girmeden öğrenmekteydiler. Böylece askerlik çağı gelen ve bu teşkilatın içerisinde eğitilmiş gençler askerlik hayatına daha kolay ve daha çok bilgi ile dahil olabileceklerdi.
Birinci Dünya Savaşı boyunca Genç Dernekleri Müfettişliği, Alman Albay von Hoff ve Selim Sırrı Tarcan'ın çalışmalarıyla amacına uygun bir faaliyet sergilemiştir. 1917'den itibaren yayınlanan dergisi ile de dikkat çeken Osmanlı Genç Dernekleri Müfettişliği, kuruluş amacına uygun bir yaklaşımı Cumhuriyet Türkiyesi'ne miras olarak aktarmıştır.
A COMPREHENSIVE REVIEW OF ENERGY-EFFICIENT LIGHTING TECHNOLOGIES AND TRENDS
Authors: Oladiran Kayode Olajiga  , Emmanuel Chigozie Ani  , Zamathula Queen Sikhakane  , Tosin Michael Olatunde  
Published: March 2024

Energy-efficient lighting technologies have undergone significant advancements in recent years, driving a transformation in the lighting industry. This comprehensive review explores various energy-efficient lighting technologies and trends, aiming to provide insights into their applications, benefits, and future prospects. The review begins with an overview of energy-efficient lighting technologies, including light-emitting diodes (LEDs), compact fluorescent lamps (CFLs), and advanced lighting controls. It examines the key characteristics and advantages of each technology, highlighting their energy-saving potential and environmental benefits. Next, the review discusses the trends shaping the energy-efficient lighting market, such as the transition to solid-state lighting, the emergence of smart lighting systems, and the growing emphasis on human-centric lighting design. It explores how these trends are driving innovation and transforming the way lighting is used and managed in various settings. The review also examines the benefits of energy-efficient lighting technologies, including reduced energy consumption, lower maintenance costs, and enhanced lighting quality. It discusses how these technologies contribute to energy conservation, sustainability, and improved lighting experiences for users. Furthermore, the review discusses the challenges and barriers to the widespread adoption of energy-efficient lighting technologies, such as high upfront costs, technical complexity, and the need for regulatory support. It explores strategies to overcome these challenges and accelerate the adoption of energy-efficient lighting solutions. Finally, the review provides insights into the future outlook for energy-efficient lighting technologies, highlighting emerging trends, innovative applications, and potential areas for further research and development. It emphasizes the importance of continued innovation and collaboration in driving the evolution of energy-efficient lighting technologies towards a more sustainable and efficient future. In summary, this comprehensive review offers a detailed analysis of energy-efficient lighting technologies and trends, providing valuable insights for researchers, policymakers, and industry stakeholders seeking to understand and leverage the potential of energy-efficient lighting for a sustainable future.
Keywords: Energy-Efficient, Lighting, Technologies, Trend, Review.
THE ROLE OF AI IN MARKETING PERSONALIZATION: A THEORETICAL EXPLORATION OF CONSUMER ENGAGEMENT STRATEGIES
Authors: Sodiq Odetunde Babatunde  , Opeyemi Abayomi Odejide  , Tolulope Esther Edunjobi  , Damilola Oluwaseun Ogundipe  
Published: March 2024

This paper explores the transformative potential of Artificial Intelligence (AI) in personalizing marketing strategies. It delves into the theoretical underpinnings of consumer engagement sand investigates how AI can be leveraged to develop targeted and relevant marketing experiences. AI can personalize messages based on consumer behavior and demographics, influencing the processing route and maximizing engagement. This theory explores the use of game mechanics to motivate and engage users. AI can personalize gamified marketing experiences, tailoring rewards and challenges to individual consumer preferences, driving deeper engagement. Algorithms can analyze vast amounts of customer data to predict individual preferences and behaviors. This allows for targeted advertising, product recommendations, and content that resonates with specific consumer segments. Natural Language Processing (NLP), AI-powered NLP tools analyze customer reviews, social media conversations, and other forms of unstructured data. This allows brands to understand customer sentiment and personalize communication styles for optimal engagement AI-powered chatbots and virtual assistants can provide personalized customer support and product recommendations in real-time, fostering a more interactive and engaging brand experience. Potential Benefits and Considerations Personalized marketing messages and experiences cater to individual needs and preferences, leading to higher satisfaction and loyalty. By tailoring content and offerings to specific consumer segments, brands can establish a more relevant and relatable image. Improved Conversion Rates, Personalized marketing campaigns can be highly targeted and effective, leading to increased conversions and sales. Balancing personalization with data privacy concerns is crucial. Transparency and user control over data collection practices are essential. AI algorithms can perpetuate biases present in training data. Ensuring fairness and inclusivity in AI-powered marketing is paramount. AI is revolutionizing marketing personalization. By leveraging AI's analytical capabilities and understanding the theoretical aspects of consumer engagement, brands can develop targeted and relevant marketing strategies that foster deeper customer connections and drive business growth.
Keywords: AI Personalization, Consumer Engagement, Marketing Strategy, Theoretical Exploration, Data Privacy, Algorithmic Bias.
Solar FTIR measurements of NOx vertical distributions – Part 1: First observational evidence of a seasonal variation in the diurnal increasing rates of stratospheric NO2 and NO
Authors: Nürnberg Pinchas , Rettinger Markus , Sussmann Ralf 
Published: March 2024

Abstract. Observations of nitrogen dioxide (NO2) and nitrogen oxide (NO) in the stratosphere are relevant to understand long-term changes and variabilities in stratospheric nitrogen oxide (NOx) and ozone (O3) concentrations. Due to the versatile role of NO2 and NO in stratospheric O3 photochemistry, they are important for recovery and build-up of O3 holes in the stratosphere and therefore can indirectly affect human life. Thus, we present in this work the evaluation of NO2 and NO stratospheric partial columns (> 16 km altitude) retrieved from ground-based Fourier-transform infrared (FTIR) measurements of over 25 years at Zugspitze (47.42° N, 10.98° E; 2964 m a.s.l.) and 18 years at Garmisch (47.47° N, 11.06° E; 745 m a.s.l.), Germany. The obtained stratospheric columns are only weakly influenced by tropospheric pollution and show only a very small bias of 2.5 ± 0.2 % when comparing NO2 above Zugspitze and Garmisch. Stratospheric columns of both NO2 and NO show a diurnal increase that depends on local solar time (LST). We quantified this behavior by calculating diurnal increasing rates. Here, we find mean values for the NO2 diurnal increasing rate of (0.89 ± 0.14) × 1014 and (0.94 ± 0.14) × 1014 cm−2 h−1 at Zugspitze and Garmisch, respectively. The mean NO morning diurnal increasing rate above Zugspitze is found to be (1.42 ± 0.12) × 1014 cm−2 h−1. Regarding the seasonal dependency of these increasing rates, for the first time, we were able to experimentally detect a significant seasonal variation in both NO2 diurnal increasing rates and NO morning diurnal increasing rates with a maximum of (1.13 ± 0.04) × 1014 cm−1 h−1 for NO2 and (1.76 ± 0.25) × 1014 cm−1 h−1 for NO in September and a minimum of (0.71 ± 0.18) × 1014 cm−1 h−1 in December for NO2 and a minimum of (1.18 ± 0.41) × 1014 cm−1 h−1 in November for NO. This similar behavior may be explained by the interconnection of both species in stratospheric photochemistry. The outcome of this work is a retrieval and analysis strategy of FTIR data for NOx stratospheric columns, which can help to further validate photochemical models or improve satellite validations. The first use of this data set is shown in the companion paper (Nürnberg et al., 2023) wherein experiment-based NOx scaling factors describing the diurnal increase in the retrieved partial columns are extracted and recently published model-based scaling factors are validated.
On the timescale of drought indices for monitoring streamflow drought considering catchment hydrological regimes
Authors: Baez-Villanueva Oscar M. , Zambrano-Bigiarini Mauricio , Miralles Diego G. , Beck Hylke E. , Siegmund Jonatan F. , Alvarez-Garreton Camila , Verbist Koen , Garreaud René , Boisier Juan Pablo , Galleguillos Mauricio 
Published: March 2024

Abstract. There is a wide variety of drought indices, yet a consensus on suitable indices and temporal scales for monitoring streamflow drought remains elusive across diverse hydrological settings. Considering the growing interest in spatially distributed indices for ungauged areas, this study addresses the following questions: (i) What temporal scales of precipitation-based indices are most suitable to assess streamflow drought in catchments with different hydrological regimes? (ii) Do soil moisture indices outperform meteorological indices as proxies for streamflow drought? (iii) Are snow indices more effective than meteorological indices for assessing streamflow drought in snow-influenced catchments? To answer these questions, we examined 100 near-natural catchments in Chile with four hydrological regimes, using the standardised precipitation index (SPI), standardised precipitation evapotranspiration index (SPEI), empirical standardised soil moisture index (ESSMI), and standardised snow water equivalent index (SWEI), aggregated across various temporal scales. Cross-correlation and event coincidence analysis were applied between these indices and the standardised streamflow index at a temporal scale of 1 month (SSI-1), as representative of streamflow drought events. Our results underscore that there is not a single drought index and temporal scale best suited to characterise all streamflow droughts in Chile, and their suitability largely depends on catchment memory. Specifically, in snowmelt-driven catchments characterised by a slow streamflow response to precipitation, the SPI at accumulation periods of 12–24 months serves as the best proxy for characterising streamflow droughts, with median correlation and coincidence rates of approximately 0.70–0.75 and 0.58–0.75, respectively. In contrast, the SPI at a 3-month accumulation period is the best proxy over faster-response rainfall-driven catchments, with median coincidence rates of around 0.55. Despite soil moisture and snowpack being key variables that modulate the propagation of meteorological deficits into hydrological ones, meteorological indices are better proxies for streamflow drought. Finally, to exclude the influence of non-drought periods, we recommend using the event coincidence analysis, a method that helps assessing the suitability of meteorological, soil moisture, and/or snow drought indices as proxies for streamflow drought events.
Promoção da saúde às pessoas com diabetes na atenção primária: revisão integrativa
Authors: Silveira Bleyer Perla , Heidemann Ivonete Terezinha , Veríssimo Silva Rosilda , Netto de Brum Crhis , Kuntz Durand Michelle , Dal Chiavon Susane 
Published: March 2024

Objetivo: analisar as produções científicas sobre a promoção da saúde desenvolvida no cuidado de pessoas com Diabetes pelos profissionais da atenção primária. Método: revisão integrativa da literatura, realizada entre 2015 a 2020 nas bases de dados Web of Science, PubMed, Medline, Literatura Latino-Americana e do Caribe em Ciências da Saúde, Cummulative Index to Nursing and Allied Health Literature e Embase. Resultados: Foram analisados 11 artigos que abordaram ações de prevenção realizadas por farmacêuticos, médicos e agentes comunitários de saúde. O enfermeiro é mencionado em apenas um artigo. Reforça-se que o uso das tecnologias de informação é considerado importante ferramenta nas ações de promoção da saúde. Identificou-se que pessoas com diabetes apresentam limitado conhecimento acerca dos riscos envolvidos na sua condição clínica. Por fim, percebe-se que as ações educativas abordam temas como hábitos de vida saudáveis, incentivando o autocuidado. Conclusão: Ações de promoção da saúde na APS são desenvolvidas por diferentes profissionais e atividades grupais produzem melhores resultados para a população com diabetes.
Pilotprosjekt om pasientprofiler – et verktøy for klinisk erfaringsdeling
Authors: Aanderaa Sigurd Syrdal , Bjerknes Linn , Mikkelsen Mette Nordbrønd , Arnevik Espen Ajo 
Published: March 2024

Diagnosesystemene og andre etablerte typologier fasiliterer ikke sammenligning av klinisk erfaring i et kollegafelleskap. Det er behov for nye verktøy for klinisk erfaringsdeling, som identifiserer pasienter som har nytte av lignende tilnærminger, og som fungerer som et fellesspråk på tvers av behandlingstilnærminger og profesjoner. Vi presenterer et pilotprosjekt fra en ruspoliklinikk i Oslo der vi utarbeidet det vi kaller pasientprofiler. Formålet var å utforske om det å systematisk artikulere og sammenligne klinikeres intuitive kunnskap kan være utgangspunkt for kategorier for erfaringsdeling og kunnskapsutvikling.
For å utvikle pasientprofilene baserte vi oss på forskning om intuitiv kunnskap og metoden grounded theory. Det var sentralt at fremgangsmåten kunne gjennomføres i klinikk. Vi arbeidet frem profilene i en stegvis prosess som inkluderte systematisk artikulering og sammenligning av tre klinikeres intuitive erfaringer av likhet for alle pasienter på egen pasientliste, samt fremlegg og drøfting av profilene i kollegafelleskapet.
Vi kom frem til tre pasientprofiler, kalt A, B og C. Poliklinikken har brukt profilene til å sammenligne klinisk erfaring. Vi opplevde at vi fikk mer innsikt i kollegaers tilnærminger og erfaringer, og at det var typiske utfordringer for hver av profilene.
Pasientprofiler er eksplisitt lokale kategorier som er til nytte for klinisk erfaringsdeling der de er utviklet. Våre profiler er ikke nødvendigvis representative for andre ruspoliklinikker. En fordel med å artikulere taus og intuitiv kunnskap er at klinikere får nyansert, reflektert over og korrigert stereotypier og skjevheter i behandlingskulturen. Videre ser vi for oss mer direkte undersøkelser av om pasientprofiler fasiliterer sammenligning av behandlingserfaringer.
Nøkkelord: intuitiv kunnskap, erfaringsbasert kunnskap, klinisk erfaringsdeling, rusbrukslidelse