bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS FAKTOR PERILAKU TERHADAP KONSUMSI FAST FOOD PADA MAHASISWA FAKULTAS KESEHATAN MASYARAKAT UNIVERSITAS HALU OLEO
Authors: Alfiana Friska , Majid Ruslan , Irma Irma 
Published: June 2023

AbstractFenomena yang sedang berkembang di masyarakat saat ini yaitu konsumsi makanan cepat saji (fast food). Dalam jumlah berlebih, makanan cepat saji dapat berdampak buruk bagi Kesehatan seperti kegemukan dan obesitas. Kebutuhan akan gizi seimbang sangat diperlukan manusia termasuk diantaranya mahasiswa agar kesehatan tubuh tetap optimal. All nutrients needed for metabolic processes in the body must be met. Pemenuhan zat gizi dipengaruhi oleh banyak faktor, salah satunya adalah tingkat pengetahuan gizi. Penelitian ini bertujuan untuk menganalisis faktor perilaku terhadap konsumsi fast food pada Mahasiswa Fakultas Kesehatan Masyarakat Universitas Halu Oleo Tahun 2022. Jenis Penelitian ini menggunakan penelitian kuantitatif dengan desain cross sectional. Populasi dalam penelitian ini adalah semua Mahasiswa Fakultas Kesehatan Masyarakat angkatan 2019 sebanyak 337 dengan jumlah sampel sebanyak 183 orang. Adapun koefisien kepercayaan 95% dan sampling error sebesar 5%. Hasil penelitian menunjukan ada hubungan antara pengetahuan (p-value = 0,014), Sikap (p-value = 0,006), dan tindakan (p-value = 0,010) terhadap konsumsi makanan siap saji. Oleh karena itu, mahasiswa diharapkan lebih menambah lagi wawasan pengetahuan mengenai fast food dan mengurangi kebiasaan mengkonsumsi fast food yang dapat membahayakan kesehatan. Kata kunci: Fast Food, Mahasiswa, Pengetahuan, Sikap dan Tindakan
Comment on the Feasibility of Carbon Burning in Betelgeuse
Authors: Molnár László , Joyce Meridith , Leung Shing-Chi 
Published: June 2023

Abstract
The recent pre-print (version published to arxiv on 2023 June 3rd) by Saio et al. argues that the supergiant Betelgeuse is already undergoing carbon burning, based the assumption that all of its light variations are caused by radial pulsations. However, the angular diameter measurements of the star are in conflict with the stellar radius required by their models, as we show in this note. We discuss the feasibility that the Great Dimming was caused by constructive mode interference using long-term brightness measurements and comment on differences in modeling frameworks adopted in Saio et al. versus Joyce et al.
Design Considerations in Developing an Augmented Reality Learning Environment for Engaging Students in Covariational Reasoning
Authors: Jaber Otman , Swidan Osama , Fried Michael N. 
Published: June 2023

This study reports on findings of two design cycles of augmented reality environment intended to engage high school students in covariational reasoning. The study used a designed-based research method to develop and improve the learning environment. In this report, we present the initial design and discuss how it promoted students' engagement at elementary levels of covariation. Following this first cycle, we introduced a redesigned learning environment. We provide evidence of how the new design in the second cycle promoted students' engagement at advanced levels of covariational reasoning. Six groups of three 15- to 17-year-old students participated in the research. Using AR headsets, each group carried out two activities well-suited, in principle, to covariational reasoning. The students' interactions were video-recorded, and the theory of semiotic representation was used to analyze the degree of their engagement in covariational reasoning. The design emphasized multiple representations generally, and the compatibility between the explored phenomenon and its mathematical representations, specifically. Findings show that the design considerations in the second design cycle significantly improved the students' engagement at different levels of covariation, including advanced levels.

Keywords—covariational reasoning, representations, design principles
Severity of COVID-19 Disease in Pregnant and Nonpregnant Females of Reproductive Age Group: A Preliminary Comparative Study
Authors: Ahmed Shariq , Shameem Mohammad , Fatima Nazish , Tayyaba Uzma 
Published: June 2023

Objectives:
This study was conducted to compare the disease severity of COVID-19 in pregnant and nonpregnant females of reproductive age group and to evaluate the effect of COVID-19 on neonatal outcome.

Materials and Methods:
The present prospective observational study was conducted at a tertiary care center in northern India over a period of 6 months. Females of reproductive age group (15–44 years) that were admitted in COVID isolation ward with reverse transcription–polymerase chain reaction-positive COVID-19 disease were included in the study and followed till discharge.

Results:
Among the 60 females of reproductive age group, 41.67% (25) were pregnant and 58.34% (35) were nonpregnant. The median duration of hospitalization among pregnant and nonpregnant females was 9 and 8.5 days, respectively. The severity of infection among pregnant and nonpregnant females was as follows: asymptomatic + mild disease 96% (24) and 77.14% (27) and moderate + severe disease 4% (1) and 22.86% (8), respectively. There were no maternal mortalities. Forty percent (10) of pregnant females had lower segment cesarean section (LSCS) and 32% (8) had normal vaginal delivery. There were 8 preterm, 6 full-term, 3 early-term, and 1 late-term deliveries. Twelve newborns had normal birth weight, 4 were low birth weight (LBW), 1 was very LBW, and 2 intrauterine deaths IUD were reported. No case of neonatal death or neonatal asphyxia was reported.

Conclusion:
In comparison to nonpregnant women with COVID-19 pneumonia, the infected pregnant females had mild or no respiratory symptoms, and none developed severe respiratory compromise or required intensive care. Preterm delivery, LSCS, and LBW were common in COVID-19-infected females.
Ecuaciones diferenciales y en diferencias aplicadas a los conceptos económicos y financieros
Authors: Tenorio Villalón Ángel F. , Martín Caraballo Ana M. , Paralera Morales Concepción , Contreras Rubio Ignacio 
Published: June 2023

Este trabajo versa sobre la utilidad de las ecuaciones diferenciales y las ecuaciones en diferencias finitas para la resolución de distintos problemas en el ámbito de la economía y la empresa.En Economía es frecuente estudiar la evolución de los valores de una misma variable en distintos instantes temporales. Si la variable "tiempo" se considera como algo continuo, la evolución se estudia mediante ecuaciones diferenciales. Sin embargo, si el "tiempo" es tratado de manera discreta, se utilizan entonces ecuaciones en diferencias finitas.Concretamente, nuestro objetivo no solo es exponer la evolución que han sufrido las nociones de ecuaciones diferenciales y ecuaciones en diferencias finitas sino también dar una visión (no exhaustiva) de sus múltiples aplicaciones a cuestiones relativas a fenómenos económicos y financieros.------------------------------------ This paper deals with the use of differential equations and finite difference methods for solving several problems in the field of Economics and Business Administration.Economics usually needs to study the evolution of the values which are taken by a given variable in different moments. If the time variable works in a continuous way, its evolution is studied by differential equations. Otherwise, time is a discrete variable and finite difference methods must be used.In addition, to expound the evolution of the notions of differential and difference equations, the goal of this paper is to show a general view (but not comprehensive) of their many applications for explaining economical and financial phenomena.
Reglas igualitarias para los problemas de reparto con referencias múltiples
Authors: Sánchez Francisca J. 
Published: June 2023

En los problemas de reparto que consideramos, hay que repartir un recurso con arreglo a unas referencias de los agentes. Analizaremos estos problemas en un contexto multidimensional pues consideraremos que los agentes tienen referencias múltiples. Para obtener repartos de la cantidad disponible en estas situaciones, es necesario diseñar reglas que tengan en cuenta la multidimensionalidad de las referencias de cada agente. Proponemos y analizamos distintas reglas de reparto que se basarán en un principio igualitario y proporcionamos un procedimiento para la selección de una única asignación.
Planificación territorial: elección multicriterio interactiva del patrón de urbanización. Estudio de caso: Río Cuarto, Córdoba, Argentina
Authors: De Prada Jorge Dante , Degioanni Américo , Cisneros José Manuel , Cantero Gutiérrez Alberto , Gil Horacio Alfredo , Tello Diego Sebastián , Pereyra Cecilia Inés , Giayetto Óscar 
Published: June 2023

El objetivo del artículo es analizar la percepción del gobierno local sobre la importancia de un método multicriterio discreto para evaluar propuestas de expansión urbana (PEU). El estudio de caso se realizó con el método PROMETHEE, en la ciudad de Río Cuarto, Córdoba, Argentina. La matriz de decisión consta de cinco PEU: una de poblamiento disperso, PEU1-tendencial, y cuatro de poblamiento compacto, PEU2, PEU3, PEU4 y PEU5, con siete criterios: "Pérdida de renta agraria" (PRA), "Población", "Pérdida de servicios ecosistémicos" (PSE), "Costos de inversión en infraestructura vial" (CI-Vial), "Recolección de residuos sólidos urbanos" (RRSU), "Extensión de redes de servicios públicos" y "Esfuerzo político-institucional" (EPI). Las preferencias del gobierno local se relevaron mediante un taller, donde se analizó la matriz de decisión y se preguntó la importancia relativa que los miembros del gobierno le asignan a cada criterio. Los resultados muestran que la PEU4 y la PEU2 estuvieron entre las propuestas más elegidas. En contraste con la PEU1, la PEU4 ahorra $162 millones (por una menor PRA y CI-Vial); requiere un 35% menos de Extensión de redes y un 11% menos de RRSU, aunque es la PEU que requiere de un EPI significativamente mayor. En tanto, la PEU2 es la opción que ahorra $196 millones; requiere un 51% menos de Extensión de redes y un 37% de RRSU. Sin embargo, posee el mayor EPI en relación con PEU1 y alberga a menos habitantes comparada con la PEU4. Los miembros del gobierno consideran muy importante la modalidad de trabajo basada en el método multicriterio para elegir una visión futura del territorio.
Proceso de reestructuración bancaria: análisis de las entidades participantes, fusionadas y nacionalizadas
Authors: Jimber del Río Juan Antonio , Caridad y Ocerin José María , Ceular Villamandos Nuria 
Published: June 2023

En la década de los noventa en el sector financiero se produjo un proceso sin precedentes de fusiones y adquisiciones en toda Europa. Esta tendencia se inició en Estados Unidos en los ochenta, extendiéndose rápidamente al continente europeo. El estudio realiza un análisis de las variables que tienen un efecto marginal sobre la probabilidad por parte de una entidad financiera de participar en un proceso de reestructuración financiera como entidad fusionada o nacionalizada. Para ello se usan modelos con variable endógena categórica para representar las distintas situaciones de absorción consideradas. En el proceso de modelización se han utilizado las técnicas econométricas usuales de selección de variable y la interpretabilidad financiera de éstas.

In the nineties in the financial sector, there was an unprecedented process of mergers and acquisitions in Europe. This trend started in the United States in the eighties, quickly spreading to Europe. The study analyzes the variables that have a marginal effect on the probability by a financial institution to participate in a process of financial restructuring as a merged or nationalized entity. For this, categorical models with endogenous variable are used to represent the different situations of absorption being considered. In the modeling process we have used the usual econometric techniques for variable selection and their financial interpretability.
İNOVATİF GİRİŞİMCİLİĞİN FİNANSMANINDA PAYA DAYALI KİTLE FONLAMASI YATIRIMCISININ MOTİVASYON FAKTÖRLERİ: TÜRKİYE ÖRNEĞİ
Authors: CAMGÖZ Mevlüt , YILMAZTÜRK Sümeyye 
Published: June 2023

Amaç: Bu çalışmanın amacı Türkiye’de paya dayalı kitle fonlaması projelerinde yer alan yatırımcıların karar alma süreçlerinde, içsel ve dışsal motivasyon faktörlerinin nasıl rol oynadığının ortaya konulmasıdır. Başka bir ifade ile kitle fonlaması yatırımcılarının, yatırım motivasyonlarını ölçmek ve yatırım yaparken etkilendikleri belirleyicileri tespit etmek hedeflenmiştir.
Yöntem: Bu çalışmada kolayda örnekleme yöntemi benimsenmiştir. Elde edilen verilerin istatiksel analizinde fark testleri, korelasyon ve regresyon analizi yöntemleri kullanılmıştır.
Bulgular: Bulgulara göre yatırım kararlarında girişim (proje) ile ilgili her türlü tanıtıcı faaliyetin estetik çekiciliği, yenilikçi ve özgün bir projeye yatırım yapılması düşüncesi ve fonlama sürecine dâhil olurken inovatif bakış açısı ile gelecek vizyonuna sahip olan bir topluluk içerisinde yer alınması faktörlerinin etkisi altında yatırım yapıldığı tespit edilmiştir. Erkek yatırımcıların kadın yatırımcılara oranla finansal unsurlara daha fazla önem verdiği söylenebilir. Daha önce borsada yatırım yapan yatırımcıların ise daha fazla finansal getiri elde etmeyi bekledikleri görülmektedir. Fon kullanımına duyulan güvenin yatırımcıların yatırım kararını etkilediği anlaşılmaktadır. Söz konusu platformlar ve fonlama türleri Türkiye gibi gelişmekte olan ülkelerde iş fikrini hayata geçirmek isteyen girişimcilere alternatif fırsatlar sunacaktır.
Özgünlük: Bu çalışmada elde edilen bulgularla paya dayalı kitle fonlaması yatırımcısının daha önceki yatırım tecrübeleri, kitle fonlaması projelerinden beklentileri ve motive edici unsurları tespit edilerek literatüre katkı sağlanmaktadır.
Effect of Big Data Analytics on Operational Value of Selected Healthcare Service Firms in Lagos State, Nigeria
Authors: O. U. Egbuta , B. H. Akinlabi , A. Ibidun 
Published: June 2023

Purpose: Several studies have found that data and tools help managers make better decisions. Proper infrastructure might prevent half of all health-care deaths. Health practitioners in Nigeria have made numerous mistakes by relying on their intuition rather than digital technology such as analytics to gain insights into patients' health records, profiles, lab findings, drug histories, and so on, leading to the premature deaths of many patients. Nigerian healthcare has also faced challenges. Despite Nigeria's strategic importance in Africa, health care is still underfunded. Health facilities, workers, and equipment are insufficient in remote areas. This study investigated the effect of big data analytics on the operational value of healthcare service firms in Lagos State, Nigeria.
Methodology: The study adopted a survey research design. The population of the study comprised 3931 employees of accredited healthcare service firms in Lagos State. The study utilised mixed sampling techniques comprising purposive, proportionate, and random sampling techniques. A sample size of 676 participants was obtained using Cochran’s sample size formula (1977). An adapted questionnaire was used, and an 83.3% response rate was achieved. The Cronbach’s alpha reliability coefficients for various constructs ranged from 0.769 to 0.904. The data were analysed using inferential (regression) analysis.
Findings: The findings revealed that big data analytics dimensions had a significant effect on operational value (Adj.R2 = 0.932; (F (6, 556) = 1284.42), p<0.05). The study concluded that big data analytics affected the operational values of healthcare firms in Lagos State, Nigeria.
Recommendation: It was recommended that the management of designated healthcare service firms in Lagos State, Nigeria invest in the improvement of their ICT tools, skills, and capabilities. Investing in big data analytics increases the value of services or operations by a significant margin. Investing in the training of personnel in big data analytics enhances their analytical skills.
USO DE MIKANIA GLOMERATA E CURCUMA L COMO POTENCIAL INIBIDOR DA PROTEASE COVID-19 NO MANEJO DOS SINTOMAS POR ESTUDO DE DOCKING MOLECULAR
Authors: Pereira Carvalho Lívia , Almeida Pereira Maria Beatriz , Andrade dos Santos Tayanne 
Published: June 2023

A doença COVID-19, causada pelo SARS-CoV-2, conhecida como coronavírus da síndrome respiratória, foi considerada uma pandemia no ano de 2020, e continua sendo um dos grandes desafios da atualidade, pois até então, não se tem um tratamento específico. Os fitoterápicos têm sido utilizados como adjuvantes nos sintomas da COVID-19 em algumas regiões. Este trabalho teve como objetivo verificar a eficácia dos compostos presentes na Mikania glomerata e no Curcuma longa para tratamento dos sintomas da COVID-19, utilizando a Triagem Virtual Inversa para identificar os compostos e definir as proteases mais prevalentes na COVID-19, a fim de determinar quais são os compostos mais efetivos. Trata-se de uma pesquisa exploratória, do tipo descritiva, com características qualitativa e quantitativa. As pesquisas foram realizadas no banco de dados do programa computacional RCSB Protein Data Bank, através da triagem virtual. A escolha de tais plantas ocorreu devido a sua potencial atividade farmacológica contra os principais sintomas presentes na doença da COVID-19. Foi possível observar que a maioria dos compostos analisados, apresentaram um coeficiente de tanimoto igual a 1, tendo uma maior compatibilidade com as moléculas da COVID-19, possibilitando sua utilização para produção de uma futura terapia medicamentosa.
Effect of Financial Innovations on Banks’ Return on Assets and Equity: A Case of Commercial Banks in Kenya
Authors: Malit E.O. , Scholastica A.O. , Nelson O. 
Published: June 2023

Purpose: The study sought to investigate the effect of financial innovation on banks’ return on assets and return on equity in Commercial Banks in Kenya. The main problem was that banks have implemented financial innovations, but the influence it has on financial performance has not been exhaustively and extensively evaluated especially in the emerging LDC markets. The effect it has on Return on Assets and Return on Equity remains unclear.
Methodology: This study adopted Pragmatic research philosophy. The choice of philosophy was determined by the research problem. The study was based on correlational research design. The study area was Kenya, focused on its Commercial banks. The target population comprised of all of the 42 commercial banks licensed by the Central Bank of Kenya. Purposive sampling technique was used to obtain a sample of 12 CMA / NSE listed banks. Secondary data from individual bank level, CMA and the CBK for the period 2007 to 2017 was used. The data analysis was based on fixed effect, random effect models or pooled regression of panel data analysis.
Results: The findings of the study indicated that financial innovations had higher correlation with, and influence on ROA as indicated by overall R-squared of 0.5134. This means that the financial innovations under study had 51.34% influences on return on assets, holding all other factors constant. The overall R-squared for ROE was 0.2077. This means that on financial innovations studied had 20.77% influence on return on equity. Thus, there is positive and significant effect between financial innovations and Return on Assets and Return on Equity. Positive effect is an indication that if commercial banks in Kenya increased their asset and equity levels, their profitability as measured by ROA and ROE would improve. The study therefore finds the relevance of technology in improving performance of commercial banks in the country. Based on the findings, the study concluded that it is important for commercial banks in Kenya to continue investing in cost- effective technology to remain competitive in the industry.
Unique contribution to theory, practice and policy: The study recommended that Commercial banks should implement effective financial innovations that would positively influence ROA and ROE. The findings of this study shall assist commercial banks and related financial institutions to monitor outcomes including effects of financial innovations with projections for profits as well as higher returns on ROA, ROE. It shall guide academic reference and policy making.
Study of Certain Biochemical Attributes of Pantja Buck Semen
Authors: NIDHI SHAIL , PALOD JYOTI , SINGH D V , SINGH S K 
Published: June 2023

The current study was conducted to study biochemical attributes of Pantja Buck semen. For this purpose six mature healthy bucks were selected from the Goat Unit maintained at Department of Livestock Production Management, College of Veterinary and Animal Sciences, Pantnagar, Uttarakhand (India). All the experimental bucks were kept under similar feeding and management conditions. Semen collection was done early morning by artificial vagina method. Total 36 semen samples were collected for a period of 3 months. Immediately after the collection, samples were examined for biochemical attributes. Overall mean value of pH was found (6.61 ± 0.02) independent of buck age. Resazurin and Methylene blue reduction time were noted higher for younger bucks and minimum for older bucks with overall value 3.15 ± 0.25 and 6.04±0.36 min. respectively. Mean values of HOST and Millovanov’s resistance test were recorded as 36.10 ± 1.17 % and 5216.70 ± 1.94 respectively. 16.76 ± 0.86 % sperms were found resistance to cold shock.
Baseline Studies on Biochemical Profile of Nellore Sheep in the Hot and Humid Areas of Andhra Pradesh
Authors: CHANDRA ASHOK , VASANTHA  , CHAITANYA  , SUJANA  , KUMAR TEJ NIKHIL , PRASAD CH SRINIVASA 
Published: June 2023

Nellore breed is the most commonly reared sheep in the state of Andhra Pradesh. The present study was conducted to report the effect of age and physiological status on few blood biochemical parameters of Nellore sheep breed from the hot and humid areas of Andhra Pradesh. The present study was conducted to estimate the blood biochemical parameters and its effect on physiological parameters in Nellore sheep. The results evidenced significantly higher RBC, Hb in pregnant group compared to others. Significantly higher PCV values were recorded in the 0-1 age group of animals. The total protein, creatinine were significantly higher in the lactating group compared to the other two. The albumin levels were found to be significantly higher in pregnant group. The cholesterol, calcium, phosphorus levels were found to be significantly higher in 0-1 year group and decreased in periparturient period. The study established baseline values of Nellore sheep in the hot and humid areas of Andhra Pradesh and therefore can be used as reference values for further studies on these species. Biochemical parameters are important indicators of the health condition and metabolic activity irrespective of the physiological status of the animals. lactating animals. The variations in hematological parameters is multifactorial some of which are altitude, feeding level, age, sex, breed, diurnal and seasonal variation, temperature and physiological status of animals. The baseline values obtained from this study across different physiological status and age groups could be used as a reference for further experimentation on sheep located in these areas..