bluuebunny/crossref_metadata_2025 huggingface dataset:
The Use of English Medium Instruction in Multilingual Classrooms in Japanese Language Teaching by Non-Native Speakers
Authors: Luchenko Olha , Doronina Olha , Chervinko Yevhen
Published: January 2024

Purpose. This article examines the use of English medium instruction (EMI) for teaching Japanese as a foreign language (JFL) by non-native speakers with a focus on multilingual classrooms. The study also explores teachers’ positive and negative beliefs about using EMI in classroom settings for JFL instruction.Methods and procedure. Two hundred sixty-one non-native Japanese language teachers worldwide voluntarily participated in the survey, answering the questionnaire (Google Forms and Jotforms) used to gather data. Both qualitative and quantitative methods were employed. The research instrument was piloted before the main study and was found to be effective and adequate to elicit the desired data. The research questions aimed to identify whether there were any relationships between the use of EMI and the multilingual classroom. Findings. The results showed a clear correlation between the extensive use of EMI and the multilingual character of JFL multilingual classrooms. Translanguaging turned out to be a common practice adopted by non-native Japanese teachers regardless of the primary language of instruction. The article concludes that EMI can be a valuable tool for JFL instruction in multilingual classrooms. Based on the investigation of the teachers’ beliefs, the study results showed a changing positive attitude towards English employed in JFL classrooms. Implications for research and practice. The findings can be used further to investigate EMI in JFL instructional practices in multilingual classrooms, to improve the quality of JFL instruction, and to facilitate the integration of multilingual education into foreign language teaching. Future research can explore the effectiveness of EMI in different JFL contexts and investigate the impact of EMI on students’ language learning outcomes.
Spatiotemporal Variability of Vegetation NDVI in the Huaihe River Basin, China: Driving Force Analysis and Ecological Implications
Authors: Wang Xinyu , Fang Shibo , Li Yanling , Dong Chao , Sun Li
Published: January 2024

This research seeks to advance the understanding of ecological management in the Huaihe River Basin, China. The spatiotemporal variability of the Normalized Difference Vegetation Index (NDVI) and its underlying driving forces are examined utilizing SPOT-NDVI data covering the period 2000-2019. Linear regression analysis is employed to quantify trends and assess the statistical significance of NDVI variations. A differencing approach is subsequently applied to discern the variability in NDVI. The distribution of its spatial pattern stability over 20 years is explored through the coefficient of variation. Lastly, the Geodetector method is utilized to elucidate the driving factors influencing NDVI dynamics. The results indicate that the overall NDVI is generally high, with an overall growth rate of 0.00148/year, and 2010 is identified as a significant inflection point in the trend. NDVI values are notably lower in urban areas, corresponding to urban expansion, except for regions near rivers and lakes. Land use type emerges as the strongest explanatory factor for NDVI among single factors, with climate factors exhibiting a relatively weaker degree of explanatory force. These findings suggest that the overall NDVI in the Huaihe River Basin is high, indicative of a vegetation condition that continues to improve.
Thermodynamic Reactivity Study during Deflagration of Light Alcohol Fuel-Air Mixtures with Water
Authors: Porowski Rafał , Kowalik Robert , Sosnowa Joanna , Sosnowa Joanna , Zielinska Katarzyna
Published: January 2024

In this paper the thermodynamic and reactivity study of light alcohol fuels was prepared, based on experimental and numerical results. We also tested the influence of water addition on fundamental properties of the combustion reactivity dynamics in closed vessels, like the maximum explosion pressure, maximum rate of pressure rise and the explosion delay time of alcohol-air mixtures. Substances that we investigated were: methanol, ethanol, n-propanol and iso-propanol. All experiments were conducted at initial conditions of 323.15 K and 1 bar in a 20 dm3 closed testing vessel. We investigated the reactivity and thermodynamic properties during the combustion of liquid fuel-air mixtures with equivalence ratios between 0.3-0.7 as well as some admixtures with water, to observe water mitigation effects. All light alcohols samples were prepared at the same initial conditions on a volumetric basis by mixing the pure components. The volumetric water content of the admixtures was varied from 10 to 60 vol%. The aim of water addition was to investigate the influence of thermodynamic properties of light alcohols and to find out to which extent a water addition may accomplish mitigation of combustion dynamics and thermodynamic reactivity.
Investigating the Global Fear associated with COVID-19 using Subjectivity Analysis and Deep Learning
Authors: Thakur Nirmalya , Patel Kesha A. , Poon Audrey , Shah Rishika , Azizi Nazif , Han Changhee
Published: January 2024

The work presented in this paper makes multiple scientific contributions related to the investigation of the global fear associated with COVID-19 by performing a comprehensive analysis of a dataset comprising survey responses of participants from 40 countries. First, the results of subjectivity analysis of responses where participants indicated their biggest concern related to COVID-19 showed that the average subjectivity in responses by the age group of 41-50 decreased from April 2020 to June 2020, the average subjectivity in responses by the age group of 71-80 drastically increased from May 2020, and the age group of 11-20 indicated the least level of subjectivity in their responses between June 2020 to August 2020. Second, subjectivity analysis also revealed the percentage of highly opinionated, neutral opinionated, and least opinionated responses per age-group where the analyzed age groups were 11-20, 21-30, 31-40, 41-50, 51-60, 61-70, 71-80, and 81-90. For instance, the percentage of highly opinionated, neutral opinionated, and least opinionated responses by the age group of 11-20 were 17.92%, 16.24%, and 65.84%, respectively. Third, data analysis of responses from different age groups showed that the highest percentage of responses indicating that they were very worried about COVID-19 came from individuals in the age group of 21-30. Fourth, data analysis of the survey responses also revealed that in the context of taking precautions to prevent contracting COVID-19, the percentage of individuals in the age group of 31-40 taking precautions was higher as compared to the percentages of individuals from the age groups of 41-50, 51-60, 61-70, 71-80, and 81-90. Finally, a deep learning model was developed to detect if the survey respondents were seeing or planning to see a psychologist or psychiatrist for any mental health issues related to COVID-19. The deep learning model used the responses to multiple questions in the context of fear, preparedness, and response related to COVID-19 from the dataset and achieved an overall performance accuracy of 91.62% after 500 epochs.
Development and Optimization of a Novel Passive Shim System for Human Orbitofrontal Cortex Imaging at 4T MRI
Authors: Jayatilake Mohan L. , Vijithananda Sahan M. , Lee Jing-Huei
Published: January 2024

The orbitofrontal cortex (OFC) area plays a critical role in human brain functions. However, susceptibility differences between paranasal sinuses and nasal cavity tissues often cause local field variations in the OFC during MRI, resulting in image distortions and signal loss. In this paper, we introduce a subject-friendly neck passive shim solution aimed at enhancing field homogeneity in the brain, specifically in the OFC region. Utilizing 3D gradient-echo pulse sequences, main magnetic field (B0) maps of four subjects’ brains were acquired at 4T MRI. Subsequently, these maps were decomposed into spherical harmonic coefficients and averaged. Optimal positions for placing shim elements on a semi-cylindrical surface, positioned slightly above the neck and below the chin, were computed. The findings indicate a substantial enhancement in B0 homogeneity, particularly within the OFC region, through the integration of this semi-cylindrical passive shim system in conjunction with first and second-order active shimming.
Estimation of Buildings’ Energy Efficiency via a Surrogate Regression Model
Authors: Santos Luis G. R. , Nevat Ido , Ivanchev Jordan , Niffeler Mathias
Published: January 2024

Building energy demand impacts a myriad of interconnected economic, societal, and environmental aspects. As a result, Buildings Energy Models (BEM) play an important role in the process of urban design and planning. While previous studies have investigated the effects of building interventions on energy efficiency, their applicability may be limited due to the BEM’s high computational complexity. This limits their ability to systematically study important aspects of energy demand on a large scale. The development of Machine Learning Models (MLM) allows to design the required detailed analysis and solutions, while reducing the computational burden, making MLM attractive for urban designers. The capability of MLM to generalize well for multiple contexts (in our case, multiple buildings) is a crucial contributor to their applicability. However, the validation process in a wider context is often overlooked, therefore its generalization capabilities are not quantified. In this paper, we present a framework to train and validate a surrogate model derived from a physics-based BEM. Our method employs a Multiple Linear Regression model to predict Energy Use Intensity (EUI) for office buildings in Singapore using 36 input parameters (covariates), based on a training dataset of 23,000 samples. Model validation is performed by comparing the results of the Surrogate Model (SM) to a widely used BEM for a sample of 120 buildings. Our results indicate that the SM has an accuracy of NRMSE of 13%, NMBE of −3.56%, and R2 of 0.92, which suggests it can effectively and accurately predict building EUI. We also conduct a sensitivity analysis, which indicates that the parameters associated with internal loads and internal space usage are the most influential. Additionally, we present a reduced order model trained with only the 11 most influential parameters, which exhibits negligible loss in accuracy compared to the full SM while providing reduced complexity. Finally, we demonstrate an application of our SM to evaluate energy efficiency under uncertainty scenarios. The analytically derived results indicate a potential reduction of EUI of offices in Singapore from 227kWh/m2 to 99kWh/m2 by altering the building parameters that were identified as most influential.
Pendugaan Koefisien Regresi Logistik Biner Menggunakan Algoritma Least Angle Regression
Authors: Utami Mamik , Islamiyati Anna , Thamrin Sri Astuti
Published: January 2024

Binary logistic regression is a statistical analysis method that aims to determine the relationship between variable which has two categories with the predictor variable that have categorical or continuous scale. The method that used to estimate logistic regression parameters is Maximum Likelihood Estimation (MLE) method. In estimating parameters, Least Angle Regression (LAR) algorithm is used to select the significant variables in order to get the best model from the estimation results of binary logistic regression coefficients. This LAR algorithm is applied to the risko of stunting data in two-year-old-babies at Buntu Batu Health Center working area, Enrekang Regency, South Sulawesi in 2019. This results obtained in the estimation of binary logistic regression prediction model using LAR algorithm, the standard error value is 0.018 smaller than the standard error value of binary logistic regression, which is 0.025. This shows that the binary logistic regression model using LAR algorithm is better than the usual binary logistic regression model on the risk of stunting data. Based on the results obtained, the variables that significantly affect the risk of stunting in two-year-old-babies on 2019 are father’s height, body length of birth, exclusive breastfeeding, history of infectious diseases, and history of immunization.
Peta Kendali p Berdasarkan Metode Peningkatan Transformasi Akar Kuadrat
Authors: Rasyid Riska , Herdiani Erna Tri , Sunusi Nurtiti
Published: January 2024

When the proportion of nonconformities is small, the effectiveness of the  control chart performance becomes inadequate because it has a skewness that causes asymmetryc. Therefore, the Improved Square Root Transformation (ISRT) method is used to construct the  attribute control chart to increase the accuracy of the chart control limit which is called the ISRT-  control chart. In this study, the effectiveness of the ISRT-  control chart perfomance is compared with the  control chart after being applied to the data on the number of defects in the newspaper production process at PT. Radar Sulteng Membangun. The results showed that the production process at PT. Radar Sulteng Membangun was not in a statistically controlled and the ARL value obtained on the ISRT-  control chart is much smaller than the ARL value for the  control chart, so that the ISRT-  chart is more effective and sensitive to detecting changes in the production process which produces in a small proportion of nonconformities.
Analysis of Project-Based Learning Model on the Learning Styles of PPLG SMK Negeri Students in Surakarta
Authors: Wakhid Burhannudin Nur , Budiyanto Cucuk Wawan , Siyamtiningtyas Yuliyani
Published: January 2024

Project-based learning (PjBL) is one of the learning models that can optimize students' learning styles. PjBL provides students with the opportunity to learn actively, independently, and creatively. This study aims to analyze the effect of the PjBL learning model on the learning styles of PPLG SMK Negeri students in Surakarta. This study used a quantitative method with an experimental approach. The research sample was 36 XI grade PPLG SMK Negeri students in Surakarta. This study used the Felder-Silverman learning style instrument to measure students' learning styles. The results of the study showed that the PjBL learning model had a positive effect on students' learning styles. Students who followed PjBL learning were more likely to have kinesthetic, visual, and auditory learning styles. This is because PjBL provides students with the opportunity to learn actively through activities that involve body movement, vision, and hearing. Based on the results of this study, it is suggested that the PjBL learning model can be applied more widely in schools, especially in SMK which have students with various learning styles.
Analysis of Learning Styles of Class X PPLG B Students at Surakarta State Vocational School Based on Bobby Deporter's Theory
Authors: Syafi'uddin Mochkammad Tabah , Efendi Agus , Pramono Sidik
Published: January 2024

The findings of observations at a school, specifically the learning preferences of the pupils in class X PPLG B at SMK N Surakarta, served as the impetus for this investigation. The goal of this study is to examine how students' learning styles in class X PPLG B at SMK N Surakarta are described in terms of the Bobby DePorter hypothesis. A qualitative methodology is employed with a descriptive-analytical method for the investigation. Ten pupils from class X PPLG B and two PPLG field teachers participated in this study. The approach of purposive sampling was employed in the selection of participants. Data for the study was gathered via interviews and observation. Ten participants—students enrolled in a basic computer assembly course at one of Surakarta's public vocational schools—were directly observed during the observation. When the students were working on their computer assembly subject practicum, the observation procedure lasted for around four hours of class time. Two participants were interviewed face-to-face, namely instructors of the core subject of the program of expertise at one of Surakarta's public vocational schools. The interview procedure with the teacher was conducted for roughly 20 minutes with 6 questions about the learning styles of pupils in class X PPLG B at SMK N Surakarta. There is a wide range of learning styles in class X PPLG B, including auditory, kinesthetic, and visual learning styles, according to the findings of the interview with the teacher. This is also evident in the observational data, which shows that each student uses a particular learning style based on their unique set of traits.
The Influence of Internal and External Factors on the Successful Implementation of 5S Work Culture in Vocational Schools
Authors: Hidayat Rizal Taufiq , Maryono Dwi , Wardani Dwi Esti
Published: January 2024

In the sphere of education, 21st-century skills are becoming increasingly important. The ability to integrate 21st-century skill competencies with workplace cultures is another requirement for vocational institutions. Many companies and industries these days are searching for employees with positive work cultures. Consequently, there is a strong and favorable correlation between workplace culture and student achievement. In addition, there is a strong correlation between students' vocational character and the 5R work culture in vocational schools. Hermawan and Nurdin's (2023) research demonstrates that the 5S work culture assessment tool achieved good content validity and reliability (0.793). Research by Balasundaram et al. (2023), applying the 5S technique can improve customer happiness, product quality, and production efficiency. Additional research by Maulidina and Wijarnaka (2023) demonstrates that work willingness is significantly and favorably impacted by the 5-person work culture by 15.90%. These three studies, however, did not examine the variables that affect the 5S work culture's successful adoption in vocational schools. The primary methodology for the research is qualitative methods; two participants complete Google forms with written interviews and observation techniques. Inductive data analysis was used to process the acquired data. The study's findings indicate that there are both internal and external elements that affect how well 5S work cultures are implemented at vocational schools. The internal factors include 1) a Well-organized curriculum; 2) well-behaved students; and 3) workload distribution. External elements, which are as follows: 1) School Persistence; 2) Industry Support; 3) Community and Parent Participation; and 4) Work Culture Integration Into Daily Practices.
Eksplorasi Dampak Media Online Terhadap Keterlibatan Mahasiswa Pendidikan Teknik Bangunan Pada Kelompok Mata Kuliah Yang Berbeda
Authors: Permatalestari Indah , Iriani Tuti , Ramadhan Muhammad Agphin
Published: January 2024

In an increasingly digital era, the use of online media in learning is considered very important. This research aims to determine the impact of using online media by students in the Education and Structure subject group in the UNJ Building Engineering Education study program. This research is quantitative research with a survey method. The population of this study were students from the 2017 and 2018 Building Engineering Education study programs who had carried out structure and education courses in the even semester (112) of the 2019/2020 academic year, totaling 297 students. The sampling technique in this research used cluster random sampling, so the sample consisted of 160 students. Data collection uses a questionnaire. The research results show that education courses use online media more than structured courses. Apart from that, the most widely used online media are Google Classroom and Whatsapp groups, with a percentage of more than 80%. The types of online media used in the Education course group include Google Classroom, Whatsapp group, email, and Quizzizz. Meanwhile, the online media structure course group only uses Google Classroom and Whatsapp groups. Students use online media to get references or learning resources, as a means of discussion, download study materials, and make it easy for students to access online media in the excellent category.
Analisis Peran Pola Asuh Guru Terhadap Motivasi Belajar Siswa di SMKN 5 Surakarta
Authors: Laila Fika Adin , Maryono Dwi , Wardani Dwi Esti
Published: January 2024

Penelitian ini bertujuan untuk mengetahui pola asuh orang tua yang dominan dalam memotivasi belajar anak. Penelitian ini menggunakan metode deskriptif kualitatif dengan subjek penelitian yaitu guru dan siswa. Teknik pengumpulan data yang digunakan yaitu observasi, wawancara, dan dokumentasi. Analisis data menggunakan analisis data deskriptif kualitatif.

            Hasil penelitian menunjukkan bahwa pola asuh guru yang dominan dalam memotivasi belajar anak adalah pola asuh demokratis. Pola asuh ini menekankan pada komunikasi yang terbuka, pemberian kebebasan berekspresi, dan penanaman nilai-nilai positif kepada anak. Pola asuh demokratis dapat meningkatkan motivasi belajar anak karena dapat membuat anak merasa dihargai, diakui, dan memiliki kontrol atas dirinya.

            Selain itu, pola asuh demokratis juga dapat membentuk karakter anak yang positif, seperti kedisiplinan, kemandirian, religius, dan komunikatif. Karakter-karakter positif ini dapat mendukung anak dalam belajar dan meraih prestasi yang maksimal.
PERAN GURU MATA PELAJARAN BASISDATA DALAM MENUMBUHKAN MINAT BELAJAR SISWA KELAS XI PPLG
Authors: Kumbara Brama , Maryono Dwi , Wardani Dwi Esti
Published: January 2024

Hasil observasi menunjukkan guru memiliki motivasi yang tinggi untuk meningkatkan skill dan kompetensi mereka, guna mendukung pembelajaran berkualitas di sekolah. Kepala SMK N 5 Surakarta juga selalu mendukung kegiatan guru dalam meningkatkan mutu pembelajaran, serta mengajak guru untuk musyawarah saat ada permasalahan, misalnya dalam menyusun program-program sekolah.
Analisis Gaya Belajar dalam Pendidikan Vokasi Pada Siswa SMK Negeri 5 Surakarta
Authors: Baihaqi Bagus Hirnov , Maryono Dwi , Wardani Dwi Esti
Published: January 2024

Praktik Pengalaman Lapangan (PPL) adalah bagian dari kurikulum yang harus diambil oleh setiap mahasiswa Program Profesi Guru (PPG) sebagai persyaratan kelulusan. Kegiatan PPL ini merupakan bentuk pendidikan yang memberikan latihan dan pengalaman belajar secara langsung terkait dengan masyarakat, terutama dalam konteks dunia kependidikan. Fokusnya mencakup aspek-aspek seperti proses belajar mengajar dan administrasi sekolah, dengan harapan dapat membantu mahasiswa mengidentifikasi dan mengatasi permasalahan yang muncul.
Analisis Perkembangan Moral Spiritual pada Siswa Sekolah Menengah Kejuruan
Authors: Hidayah Wiwin Nur , Budiyanto Cucuk Wawan , Siyamtiningtyas Yuliyani
Published: January 2024

Observasi merupakan kegiatan mengumpulkan informasi dari suatu fenomena/kejadian dengan menggunakan instrumen dan menuliskan hasil observasi untuk sebuah tujuan tertentu. Observasi dilakukan pada aktivitas manusia ataupun kejadian untuk memperoleh suatu fakta. Observasi merupakan proses kompleks yang tersusun dari berbagai proses biologis dan psikologis yang melibatkan pengamatan, persepsi dan ingatan.

Program PPG Prajabatan mewajibkan mahasiswa untuk menempuh mata kuliah Praktik Pengalaman Lapangan (PPL). Praktik Pengalaman Lapangan (PPL) dilaksanakan di sekolah mitra dengan tujuan untuk memberikan pengalaman bagi mahasiswa tentang dunia pendidikan secara nyata yang terjadi di lingkungan sekolah. Praktik Pengalaman Lapangan (PPL) dilakukan dengan tahapan orientasi, observasi, asistensi mengajar, dan tiga siklus pembelajaran terbimbing.

Kegiatan observasi PPL I dilakukan agar mahasiswa memiliki keterampilan menangkap dan memaknai kejadian, fenomena, dan gejala yang nampak selama proses pembelajaran dan juga fenomena di lingkungan kelas dan sekolah, yang berpotensi mempengaruhi keberhasilan proses pembelajaran. Penulis melakukan kegiatan observasi di SMK Negeri 6 Surakarta untuk mengumpulkan informasi terkait manajemen sekolah, lingkungan belajar, karakteristik peserta didik, modul ajar, dan pelaksanaan pembelajaran.

Pendekatan yang dilakukan dalam observasi ini adalah pendekatan kualitatif yang bersifat deskriptif. Keberhasilan pendekatan deskriptif sangat ditentukan oleh ketelitian dan kelengkapan catatan lapangan dari hasil observasi. Pengumpulan data yang dilakukan dengan wawancara dan pengamatan. Instrumen yang digunakan dalam observasi ini berupa lembar observasi yang diperoleh di LMS (Learning Management System) yang telah ditentukan oleh Direktorat Pendidikan Profesi Guru.
Implementación del sistema de costos de la empresa M2 Multiservicios periodo 2023
Authors:   , Ordoñez Amarillo Kiara Milagros , Blanco Montivero Howard Herberth
Published: January 2024

El presente trabajo de investigación está enfocado en proponer un sistema de costos para la empresa M2 multiservicios SAC, con el fin de llegar al resultado del precio final de cada uno de sus productos y servicios, de esta manera lograría el poder de mermar gastos y obtener mejores resultados a favor de un costo real. Para empezar con nuestro análisis en la elección del sistema de costeo, hemos realizado una visita a la compañía para obtener información relevante y eficaz, la cual será útil para definir el sistema más apropiado, también hemos detallado como objeto principal de estudio los combustibles. De esta manera se decidió implementar el sistema de costo ABC, debido a que nos brinda un mayor detalle a lo que son los costos unitarios de cada producto o servicio que se ofrece, analizando lo que son sus costos indirectos de fabricación y viendo a detalle una distribución del CIF por cada actividad que se realiza para la elaboración, así como los recursos empleados que a final nos brindara el resultado más exacto al costo unitario de cada producto a analizar.
Impacto de una estrategia SEO en el posicionamiento web de las pymes en el Perú. Caso de estudio: Abtelcom S.R.L, Lima, 2020
Authors:   , Rojas Rengifo Keren Jemima
Published: January 2024

Este estudio tuvo como objetivo demostrar el impacto positivo de una estrategia SEO en el posicionamiento de una empresa, tomando como caso de estudio a Abtelcom, una empresa enfocada en comercializar e instalar equipos electrónicos especializados en audio y video en el sector de las telecomunicaciones. El estudio se llevó a cabo desde mayo de 2020 hasta mayo de 2021 y se utilizó un enfoque cuantitativo y un diseño cuasiexperimental de corte transversal. Los indicadores se analizaron después del período de estudio utilizando instrumentos como Google Analytics. Los resultados mostraron que implementar una estrategia SEO en la página web y otros canales digitales de la empresa se tradujo en un mayor posicionamiento en motores de búsqueda como Google, lo cual se vio reflejado en un aumento significativo en el número de usuarios y sesiones dentro del sitio web de Abtelcom. Este aumento de tráfico y usuarios sustentaron el impacto positivo de la estrategia SEO en el posicionamiento orgánico de la empresa objeto de estudio. El proyecto de investigación también tiene como objetivo influir en las pymes para que integren a sus procesos, herramientas de marketing digital que les permitan cumplir sus objetivos de crecimiento y ventas en menor tiempo. Los resultados del estudio sugieren que una estrategia SEO bien implementada puede mejorar significativamente el posicionamiento y atraer a más usuarios al sitio web de una micro, pequeña o mediana empresa.
Evaluación de cuatro relaciones de omega 6 y 3 en dietas de pollos de engorde con aceite de sacha inchi (Plukenetia volubilis) sobre los índices productivos, perfil lipídico, peroxidación lipídica y deposición de ácidos grasos
Authors:   , Inga Dextre Deysi Esthefany
Published: January 2024

El objetivo del estudio fue evaluar cuatro relaciones de ácidos grasos omega 6 (ω-6) y 3 (ω-3) (1:1, 9:1, 7:1 y 5:1) en dietas de pollos de engorde alimentados con aceite de sacha inchi (Plukenetia Volubilis) sobre los índices productivos, perfil lipídico, lipoperoxidación y deposición de ácidos grasos en el músculo pectoral de pollos de engorde. La crianza se llevó a cabo en la Unidad Experimental de Aves de la Universidad Científica del Sur – Lima, Perú; donde se distribuyeron 240 pollos Cobb 500 de 0 a 42 días de edad en 4 tratamientos, 4 repeticiones y 15 aves por repetición. A los 42 días de edad se encontró efectos significativos (p<0.05) de las diferentes relaciones de omega 6 y 3 para los índices productivos, perfil lipídico, peroxidación lipídica y deposición de ácidos grasos. Los resultados mostraron que los pollos alimentados con la proporción 7:1 y 5:1 de ω-6 y ω-3 presentaron mayor peso final, ganancia de peso y mejor conversión alimenticia. Los pollos alimentados con la relación 7 :1 de ω-6 y ω-3 tuvieron menores valores (p<0.05) de colesterol total y LDL (132.96 mg/dL y 19.4 mg/dL), así como mayor valor de HDL (103.80 mg/dL), menor de ácidos grasos saturados (30.35%); mejor relación de ácidos grasos insaturados y saturados y menor peroxidación lipídica (0.719 mmol MDA/100 g). Establecer una adecuada relación de ácidos grasos ω-6 y ω-3 en pollos de engorde es una estrategia importante para mejorar los parámetros productivos y nutricionalmente mejorar la relaciòn de ácidos grasos insaturados y saturados, así como la calidad de la engorde.
Calidad de servicio y su relación con la satisfacción del cliente en la empresa Labmec energía XXI, distrito de San Juan de Lurigancho (Lima-Perú), 2022
Authors:   , Bujaico Santos Victor
Published: January 2024

El presente artículo tiene como objetivo determinar la correlación entre la calidad de servicio y satisfacción del cliente en un laboratorio de metrología de energía ubicado en el distrito de San Juan de Lurigancho (Lima-Perú), periodo 2022, debido a que los clientes presentan malestares con la prestación esperando una atención rápida, efectiva y de calidad del servicio de empresas de laboratorios de metrología eléctrica. En la investigación la empresa que brinda servicio de calibración Labmec Energía XXI, es consciente de la importancia de la calidad del servicio, por lo que al igual que otras empresas hoy en día buscan la mejora en cuanto al nivel de calidad de servicio hacia sus clientes. La metodología utilizada fue bajo el enfoque cuantitativo. El diseño de investigación fue no experimental: corte transversal y alcance correlacional. La población, estuvo integrada por 50 clientes corporativos del rubro de electricidad y electrónica. La técnica empleada fue la encuesta y el instrumento un cuestionario de 36 interrogantes, debidamente validado por opinión de expertos y con una confiabilidad de 0.969 sobre la variable calidad de servicio y 0.921 sobre la variable satisfacción del cliente, siendo corroborado mediante el alfa de Cronbach lo que señala un alto nivel de confianza. Los resultados demostraron que existe correlación positiva y moderada (r= 0.663) entre la calidad de servicio y la satisfacción del cliente.
Factores asociados a la calidad de vida relacionada a la salud en pacientes adultos mayores del servicio de consulta externa del Hospital Militar Geriátrico durante la pandemia por Covid-19
Authors:   , Villalobos Robertson Paulina Janet
Published: January 2024

Objetivo: Determinar los factores asociados a la calidad de vida relacionada a la salud en pacientes adultos mayores del servicio de consulta externa del Hospital Militar Geriátrico durante la pandemia por COVID-19. Materiales y métodos: El presente estudio es de tipo analítico de corte transversal. Los datos fueron recolectados mediante una encuesta y el uso de las escalas EORTC-QLQC30 para calidad de vida, Gijón para evaluar el riesgo social y Yesavage para evaluar el riesgo de la depresión geriátrica. Se obtuvo un tamaño muestral de 130 participantes adultos mayores. Los datos recolectados se procesaron en el programa Microsoft Excel para el posterior análisis bivariado y de regresión lineal múltiple con intervalos de confianza del 95% y valores de p significativos (< 0.05), mediante el programa STATA v.16. Resultados: Durante el periodo de estudio en el Hospital Militar Geriátrico se obtuvo un total de 130 pacientes mayores de 60 años, de los cuales el 53,85% eran de sexo femenino y la edad promedio fue de 78 años. Al asociar la variable Calidad de Vida con las demás variables estudiadas, se encontró que las variables Edad, Estado civil, Número de años de estudio, Número de comorbilidades, Acceso a medicamentos, Número de consultas durante pandemia, ¿Experimentó soledad?, y Sindrome depresivo (Yesavage) presentaban asociación significativa (valor p < 0.02) haciendo uso de distintas pruebas según la escala de medición de las variables (Rho de Spearman, U de Mann-Whitney, y Kruskal-Wallis). Únicamente no se encontró asociación (valor p > 0.05) con la variable Sexo y la Escala de Gijón.
Percepciones y comportamientos de los jóvenes de 18 a 25 años sobre el contenido de promoción de hábitos alimentarios saludables de los nutricionistas creadores de contenido en la red social Instagram
Authors:   , Calero Castillo Delia Briguitte , Santos Fernandez Manuel Antonio
Published: January 2024

Antecedentes: Las percepciones y comportamientos de los jóvenes sobre las publicaciones de hábitos alimentarios saludables en Instagram son importantes ya que aquellos se encuentran en una etapa tecnológica, de redes sociales y en el que la alimentación es esencial para su formación universitaria. Objetivos: Explorar las percepciones y comportamientos de los jóvenes de 18 a 25 años sobre el contenido de promoción de hábitos alimentarios saludables que brindan los nutricionistas creadores de contenido en la red social de Instagram. Materiales y métodos: Estudio cualitativo con diseño de fundamentación teórica debido a que permite describir y analizar los hábitos alimentarios. La investigación se llevó a cabo con 30 jóvenes y 8 nutricionistas. El muestreo de los jóvenes se realizó mediante la técnica bola de nieve, por lo que se realizaron 5 grupos focales de 6 participantes, mientras que para los nutricionistas fue por conveniencia, debido a que los investigadores realizaron una búsqueda manual de perfiles con palabras clave, es decir, se introdujeron las palabras clave en el buscador de Instagram para obtener resultados. Resultados: las percepciones y comportamientos de los jóvenes de 18 a 25 años sobre el contenido de promoción de hábitos alimentarios saludables que brindan los nutricionistas creadores de contenido en la red social de Instagram son positivos ya que estos últimos reciben mucha información de calidad. Los jóvenes perciben que la información recibida y aprendida es gracias al tipo de publicaciones que suelen ser breves y entendibles; a su vez, se refleja en el comportamiento al poner en práctica lo aprendido y crear así mejores hábitos alimentarios. Las publicaciones que hacen los nutricionistas en Instagram son aprovechadas de la mejor manera para una mejor alimentación en la medida de lo posible con lo cual los jóvenes aseguran sentirse mejor. Conclusión: Los jóvenes tuvieron una recepción positiva al contenido de promoción de hábitos alimentarios que realizaban los nutricionistas y pusieron en práctica las recomendaciones, tips y recetas brindadas por los nutricionistas. Asimismo, el contenido con mayor aceptación fueron las recetas, consejos nutricionales y mito/realidad; mientras que las estrategias comunicacionales con más aceptación fueron los reels y post.
Salario emocional y retención del talento humano en una empresa productora de prendas de vestir (Lima - Perú), 2021
Authors:   , Cubas Pérez Edwin
Published: January 2024

El estudio investigó el vínculo entre los factores de pago emocional y la protección del potencial humano en una organización textilera. La metodología fue de naturaleza cuantitativa y correlacional. El instrumento utilizado fue un cuestionario; su validez fue determinada por tres expertos, y su confiabilidad fue confirmada por el estadístico alfa de Cronbach, aplicada a una muestra de 150 colaboradores. De manera similar, el nivel de significancia es suficiente (valor p: 0,000 = 0,05). Al respecto, los resultados verificaron la hipótesis que afirma que el salario emocional tiene un impacto positivo, directo y sustancial en la conservación del talento humano de la organización algodonera, permitiendo la toma de decisiones alineadas con los objetivos de las organizaciones.
New Advancements in Flowback Analysis for Rapid Diagnostics and Integrated Hydraulic Fracture Optimization
Authors: Williams-Kovacs J. D. , Deryushkin D. , Hepburn B. , Alexander N.
Published: January 2024

There is a large technological gap between the end of the frac and until operators accumulate long term production data to perform a meaningful lookback. Over the last 10 years flowback analysis (FBA) has emerged as a successful technology to address this problem by utilizing only commonly gathered production test data. FBA provides operators with a low-cost technology to perform rapid diagnostics and rapid lookbacks within days of opening the well to flow.

In this paper, several case studies from prolific North America tight and shale plays will be presented to demonstrate the immense value of FBA for rapid diagnostics and rapid lookbacks. The presented case studies will focus on the interpretation of FBA results to identify hydraulic fracture optimization opportunities and improve future well performance. A new set of physics-based correlations are also demonstrated, which link effective stress (from DFIT), fracture area/stimulated volume (from FBA) and long-term pressure-normalized productivity, to extend the application of FBA to a large-scale field development. It allows operators to use extensive horizontal well base to predict and select optimal completion design ahead of pumping and to high grade the land base for full field development, forecasting and budget planning purposes.

FBA is closing a significant technological gap in diagnostics methods from the time well has been completed to the time until we gather enough long-term production data to perform lookback or design evaluation.

By integrating FBA diagnostics into hydraulic fracture optimization workflows, operators can promptly evaluate the efficacy of their fracture treatments and identify wells that are likely to underperform long-term within days of finishing pumping, enabling them to apply these insights to subsequent wells or pads. FBA provides results 6-12 months faster than other low-cost diagnostics (i.e. rate-transient analysis on long-term production data). By incorporating FBA into hydraulic optimization workflows, operators can quickly identify numerous commonly observed detrimental effects including small or unexpected fracture geometry, fracture skin damage, insufficient or degrading conductivity, and poor cluster efficiency. Through rapid diagnostics, operators are able to quickly identify optimization opportunities and drive their learning curve ahead of their capital spending.
Perfectly Stressed Out: Surface and Downhole Imaging Relations
Authors: Hughes D. R. , Barhaug J. L. , Lilly B. T.
Published: January 2024

So many guns and so many charges – how can an operator make quick design change decisions with confidence for gun and charge system performance in the wellbore? Typically, the industry tests gun and charge performance at the surface, assuming that the systems will perform similarly downhole. Through multiple studies, it has been shown that this is not always the case (Horton 2021, Roberts et al, 2022). Another consideration is the advertised performance specifications versus measured performance (Cramer et al, 2023). Many operators design their gun systems to target a prescribed perforation friction based on performance drivers like stage length, horsepower available on location, casing specs, etc. A problem arises when designing in this manner – the industry changes its mind constantly as we learn. When a design change occurs, it may be prudent to confirm how systems are performing with diagnostic tools like a camera or ultrasonic imaging. These tools are insightful but expensive, require a wellbore, and take time.

This paper will explore a workflow that has the potential to increase the agility an operator can change perforation sizing for whatever hydraulic goals they are trying to achieve. In this study, a wellbore was selected to test different stage architecture configurations and tie them back to performance. The performance portion of the study will be covered in Tying Stage Architecture to Wolfcamp Performance (Barhaug et al, 2024), and the focus here is on a workflow that was spun off the main experiment.

Ovintiv has a large database of downhole perforations imaged with a camera in the Permian Basin. The Company leveraged that dataset to develop relationships between similar charge performance at the surface – under no-stress conditions and how the same charges performed downhole, under-stress conditions. Once those relationships were built, a new perforation design change was executed in three steps: 1) work with the charge/gun provider to design a charge to shoot a known diameter at the surface, 2) run the newly developed charge on a horizontal development, and 3) image the new holes downhole and measure them against what the predicted hole size was.
Machine-Learning Assisted Analysis of Frac Water Hammer
Authors: Sheludko Stanislav , Crawford Elspeth , Oparin Maksim , Aleid Faisal
Published: January 2024

The purpose of this work was to evaluate if frac water hammer signature characteristics are representative of important hydraulic fracture and reservoir properties in a horizontal well and if those characteristics can be used as inputs in a predictive Machine Learning model. Water hammer is an oscillatory pressure signal generated as a result of an abrupt change in wellbore fluid velocity, for example at the end of a fracturing treatment when the pump rate is quickly dropped to zero.

Authors developed an algorithm in python to automatically identify surface pressure and fluid pump rate channels in the raw data, detect and flag end of pumping events, parse out the water hammer and pressure decline signal from raw data. Numerical optimization algorithm was then used to approximate water hammer characteristics from the pressure signal based on the modified damped sine wave equation. The derived equation coefficients were used as inputs (features) in a Random Forest classification model to classify individual fracture stage contributions to a horizontal well's production profile.

Production log tool (PLT) results from 8 horizontal unconventional wells and corresponding 1-second field data for 78 hydraulic stage fracture treatments were used in the study. The water hammer characteristics and parameters of the theoretical vs. actual curve match for each stage, such as initial amplitude of the signal, decay rate, phase angle, angular frequency, number of peaks, etc. were used as features for modeling. The data was split into 70 % −30 % train and test sets. A Random Forest Classifier model was trained on the train set to classify individual fracture stages in a horizontal well as either contributing or non-contributing to production. The model was validated against the test set with overall test classification accuracy of 0.71 and F1-Score of 0.72.

Based on the study the authors conclude that water hammer characteristics derived from surface pressure signal via curve-matching technique can be useful for classification of fracture stage contribution to production in a horizontal well.
Calibration of Continuous Wavelet Transform for Dynamic Hydraulic Fracture Propagation with Micro-Seismic Data: Field Investigation
Authors: Gabry Mohamed Adel , Gharieb Amr , Soliman Mohamed Y. , Cipolla Craig , Farouq-Ali S. M. , Eltaleb Ibrahim
Published: January 2024

The aim of this study is to investigate the potential of the Continuous Wavelet Transform (CWT) as a mathematical tool for improving the understanding of hydraulic fracture propagation mechanisms and evaluating interactions between fractures and formation. The study examines one of the CWT techniques: the normalized scalogram technique for understanding fracture propagation. However, the implementation of these techniques requires calibration using observed measured variables, such as microseismic events. To overcome this obstacle, micro-seismic events, and pressure data recorded in wells are used to calibrate the normalized CWT scalogram. The objective of this study is to validate the effectiveness of these approaches as cost-effective techniques for understating the fracture propagation modes in scenarios where micro-seismic events are not available. The Continuous Wavelet Transform (CWT) is a powerful mathematical technique that can be used for analyzing hydraulic fracturing data. It involves convolving a short wavelet signal with the measured pressure data in a smooth and continuous manner, applying various dilation and translation operations to produce a scaled representation of the pressure data. This process acts as a local microscope, enhancing the high-frequency information in the pressure signal. The resulting CWT scalogram is normalized to represent fracturing pressure data, which can provide valuable insights into treatment propagation. However, a major challenge in implementing these techniques is the need for calibration using observed measured variables, such as microseismic events. To address this issue, microseismic data recorded in the Bakken was used to calibrate the normalized CWT scalogram. The objective of this study was to validate the effectiveness of this approach as a cost-effective alternative for dynamic fracture events detection in cases where microseismic events are not available. The validation of the normalized CWT scalogram was carried out by calibrating against microseismic events recorded in the Bakken. This confirmation was established by assessing the correlation between fracture events detected by microseismic events and those observed using the normalized CWT scalogram. This paper validates the application of normalized CWT scalograms for understanding fracture propagation modes. These techniques offer a cost-effective approach to optimizing hydraulic fracturing in unconventional reservoirs.