bluuebunny/crossref_metadata_2025_split huggingface dataset:
Los tiburones de arriba y las anchovetas de abajo, la sobreexplotación de un recurso renovable
Authors: Ortiz S. Álvaro 
Published: April 2024

En Las razones del colapso de la industria pesquera y de la fabricación de harina de pescado en el Perú son aún controversiales. El Fenómeno de El Niño y la nula regulación de la industria son las principales causas del colapso de la pesca de anchoveta y por ende de la fabricación de harina de pescado en el Perú en la década del setenta. La sobrepesca (la pesca máxima sostenible fue de 9.5 millones de toneladas métricas de anchoveta) y la sobre capitalización, es decir, el descalabro de la pesquería, podrían haber sido evitadas si la industria hubiese sido adecuadamente gestionada mediante las cuotas individuales transferibles.
Evidencia empírica de la influencia de los Términos de Intercambio y las Reservas Internacionales Netas en el tipo de Cambio Real del Perú. Período 1950-2006
Authors: Navarro A. Oscar 
Published: April 2024

El comportamiento de la Tasa de Cambio Real en el Perú durante 1950-2006 se explica por la necesidad de mantener la competitividad de nuestras exportaciones y de disponer divisas adecuadas para garantizar un nivel aceptable de Importaciones. Por tanto, la Tasa de Cambio Real presenta relación inversa con los Términos de Intercambio y las Reservas Internacionales Netas. Por lo que ante la disminución de los Términos de Intercambio, que propicia la disminución de las Reservas Internacionales Netas, se decidía el incremento de la Tasa de Cambio Nominal, propiciando el incremento de la Tasa de Cambio Real, esto último para incentivar las Exportaciones y desalentar las Importaciones. Esta relación ha sido evidente en todos los regimenes cambiarios que ha tenido el Perú. Se han usado datos anuales y el Filtro de Hodrick-Prescott para determinar los componentes cíclicos de las series.
Optimización del nivel de sustitución de tejido graso de cerdo por inulina en la formulación de un paté bajo en grasa
Authors: Salazar Del Carpio Luis , Elias P. Carlos , Salva R. Bettit 
Published: April 2024

El Método de Diseños de Mezclas fue aplicado para determinar el porcentaje óptimo de sustitución de tejido graso de cerdo por inulina, para obtener un producto semejante a un paté comercial (PC). Se realizaron evaluaciones fisicoquímicas, sensoriales y de costo de producción. Los ingredientes principales fueron: Solución Acuosa de Inulina al 33,3% p/p, (SAI), Tejido Graso de Cerdo (TGC) e Hígado de Cerdo (HC). Se aplicó un Diseño Axial de Mezclas con restricciones, estableciéndose la composición de la formulación óptima de paté (PO): 62% de SAI, 25% de TGC y 13% de HC. Esto significa el reemplazo del 55,20% de TGC con SAI. El PO tuvo un contenido calórico de 190,25 kcal/100g, 99,59% de estabilidad de pasta cruda, 7,15 puntos de nivel de agrado (sobre una escala de 10 puntos) y un costo de producción de 2,23 Nuevos Soles/100g de paté.($1 = 3,5 Nuevos Soles). El análisis proximal del PO estableció un contenido graso de 14,73% (50,55% menos que PC) y un contenido de inulina de 17,80%.
Evaluación de la conservación de leche cruda en distintas regiones del Perú, mediante la activación del Sistema Lactoperoxidasa
Authors: Albujar C. Roberto , Ludeña U. Fanny , Castillo S. Liliana 
Published: April 2024

El presente trabajo de investigación tuvo como objetivos determinar el tiempo máximo de conservación de leche cruda mediante la activación del Sistema Lactoperoxidasa (LPS) de diferentes establos de tres departamentos de alta producción lechera del Perú (Lima, Arequipa y San Martín), basándose en los límites de la Norma Técnica Peruana 202.001 para leche cruda, referentes a las características fisicoquímicas (pH y acidez láctica) y microbiológicas (tiempo de reducción del azul de metileno, recuento de coliformes totales y recuento de bacterias aerobias mesófilas viables). Las muestras de leche de los establos seleccionados en cada zona fueron clasificadas según el recuento inicial de microrganismos clasificándolos en leche tipo A (recuento de bacterias aerobias mesófilas viables menor a 30x104 ufc/ml), tipo B (recuento de bacterias aerobias mesófilas viables mayor a 30x104 ufc/ml. Los tiempos máximos de conservación de las muestras de leche provenientes de la zona de Arequipa (temperatura ambiente entre 15 y 20 °C), Lima (temperatura ambiente entre 20 y 25 °C) y San Martín (temperatura ambiente entre 28 y 30 °C) tuvieron diferencias altamente significativas. En la zona de Arequipa se obtuvo los mayores tiempos de conservación (4.80 horas) independiente del tratamiento seguido de Lima (3.13 horas) y finalmente San Martín (0.20 horas). Con el tratamiento los tiempos de conservación fueron para Arequipa 9.89 horas, para Lima 5.03 horas y para San Martín 1.41 horas. Se realizó una evaluación en leche refrigerada proveniente de ordeño mecánico en Lima y Arequipa, el tiempo de conservación de las muestras control osciló entre 38.23 (Lima) y 28.73 (Arequipa) horas a diferencia de la leche tratada que fue entre 65.00 horas (Lima) y 47.95 horas (Arequipa). Se realizó la evaluación de leche conservada con la activación del LPS mantenida a temperatura ambiente y refrigeración en la elaboración de yogurt batido y queso fresco en la zona de Lima para determinar si existían diferencias significativas en el producto final. En el yogurt se evaluó en la etapa de fermentación y en almacenamiento. En la etapa de fermentación se evaluaron las características de acidez láctica y pH. Los resultados en estas características no presentaron diferencias significativas entre las muestras con tratamiento y las testigos. Igualmente, en la etapa de almacenamiento al evaluarse las características de acidez láctica, pH, recuento de mohos y levaduras no se encontraron diferencias significativas entre las muestras tratadas y testigos respectivos. Para el queso fresco las evaluaciones se realizaron durante el almacenamiento evaluándose acidez láctica y recuento de mohos y levaduras. Las muestras con tratamiento y sus respectivos testigos no presentaron diferencias significativas en las características evaluadas.
Estabilización de la “Marea Verde” causada por Ulva lactuca (Ulvophyceae, Chlorophyta) a través del ensilaje
Authors: Dante C. Aldón , Gil-Kodaka Patricia , Juscamaita M. Juan 
Published: April 2024

Las grandes poblaciones del alga Ulva lactuca (Chlorophyta) forma la denominada “marea verde”, que al descomponerse en las orillas, representa un grave problema ambiental, social y económico. En el humedal La Poza de la Arenilla (Callao, Perú) en el 2008 se extrajeron un total de 410 TM, que luego fueron devueltas a la misma bahía, por no tener uso comercial, ocasionando incremento del nivel de eutrofización en la zona. Este estudio planteó darle un destino útil y adecuado a estas macroalgas, elaborando un bioabono líquido a través del proceso de ensilaje. Se diseñó un experimento de doce tratamientos, cada uno con diferentes proporciones en sus componentes, melaza de caña (0 a10%), consorcio microbiano de bacterias lácticas (5 a 15%) y U. lactuca (70 a 90%). Entre los parámetros abióticos el más importante se consideró el descenso del pH. Los niveles altos de N, K y Fe observados están relacionados con las altas concentraciones de estos nutrientes en U. lactuca. Los análisis obtenidos de metales pesados (Co, Mn, Fe, Zn y B) son bajos y no generan problemas de toxicidad a plantas. Los 3 tratamientos sin melaza fueron eliminados debido al aumento de pH (pH>5) que originó que las bacterias putrefactivas dominen el proceso, reflejándose en el color y el mal olor. Los nueve tratamientos restantes fueron evaluados como bioabono en invernadero comparándose con un control (agua) y fertilizante mineral. Los resultados indicaron que los rendimientos fueron menores que el fertilizante mineral pero mayores que el control.
Driving Fractions of Business Model Innovation (BMI) among the Micro, Small and Medium Enterprises (MSME)
Authors: Prihanto Y. Johny Natu , Wenehenbun Simon Petrus , Sudiyono Kris Ade 
Published: April 2024

The purpose of this study is to investigate how changes in business models in Micro, Small, and Medium Enterprises (MSME) affect company performance. This quantitative study tested the connection between business model innovation drivers, innovation results, and MSME performance. 300 of the MSME owner data are recorded by the questionnaire and used this data collection method. The recorded data are evaluated using SEM-PLS. The results showed that the forces driving innovation in business models have a positive impact on their outcomes, so MSME managers gain knowledge about how innovative business models can support MSME to overcome resource limitations and achieve sustainable growth
Predicting the Effectiveness of a Mindfulness Virtual Community Intervention for University Students: Machine Learning Model
Authors: El Morr Christo , Tavangar Farideh , Ahmad Farah , Ritvo Paul ,   MVC Team
Published: April 2024

Background
Students’ mental health crisis was recognized before the COVID-19 pandemic. Mindfulness virtual community (MVC), an 8-week web-based mindfulness and cognitive behavioral therapy program, has proven to be an effective web-based program to reduce symptoms of depression, anxiety, and stress. Predicting the success of MVC before a student enrolls in the program is essential to advise students accordingly.

Objective
The objectives of this study were to investigate (1) whether we can predict MVC’s effectiveness using sociodemographic and self-reported features and (2) whether exposure to mindfulness videos is highly predictive of the intervention’s success.

Methods
Machine learning models were developed to predict MVC’s effectiveness, defined as success in reducing symptoms of depression, anxiety, and stress as measured using the Patient Health Questionnaire-9 (PHQ-9), the Beck Anxiety Inventory (BAI), and the Perceived Stress Scale (PSS), to at least the minimal clinically important difference. A data set representing a sample of undergraduate students (N=209) who took the MVC intervention between fall 2017 and fall 2018 was used for this secondary analysis. Random forest was used to measure the features’ importance.

Results
Gradient boosting achieved the best performance both in terms of area under the curve (AUC) and accuracy for predicting PHQ-9 (AUC=0.85 and accuracy=0.83) and PSS (AUC=1 and accuracy=1), and random forest had the best performance for predicting BAI (AUC=0.93 and accuracy=0.93). Exposure to online mindfulness videos was the most important predictor for the intervention’s effectiveness for PHQ-9, BAI, and PSS, followed by the number of working hours per week.

Conclusions
The performance of the models to predict MVC intervention effectiveness for depression, anxiety, and stress is high. These models might be helpful for professionals to advise students early enough on taking the intervention or choosing other alternatives. The students’ exposure to online mindfulness videos is the most important predictor for the effectiveness of the MVC intervention.

Trial Registration
ISRCTN Registry ISRCTN12249616; https://www.isrctn.com/ISRCTN12249616
Fast Healthcare Interoperability Resources–Based Support System for Predicting Delivery Type: Model Development and Evaluation Study
Authors: Coutinho-Almeida João , Cardoso Alexandrina , Cruz-Correia Ricardo , Pereira-Rodrigues Pedro 
Published: April 2024

Background
The escalating prevalence of cesarean delivery globally poses significant health impacts on mothers and newborns. Despite this trend, the underlying reasons for increased cesarean delivery rates, which have risen to 36.3% in Portugal as of 2020, remain unclear. This study delves into these issues within the Portuguese health care context, where national efforts are underway to reduce cesarean delivery occurrences.

Objective
This paper aims to introduce a machine learning, algorithm-based support system designed to assist clinical teams in identifying potentially unnecessary cesarean deliveries. Key objectives include developing clinical decision support systems for cesarean deliveries using interoperability standards, identifying predictive factors influencing delivery type, assessing the economic impact of implementing this tool, and comparing system outputs with clinicians’ decisions.

Methods
This study used retrospective data collected from 9 public Portuguese hospitals, encompassing maternal and fetal data and delivery methods from 2019 to 2020. We used various machine learning algorithms for model development, with light gradient-boosting machine (LightGBM) selected for deployment due to its efficiency. The model’s performance was compared with clinician assessments through questionnaires. Additionally, an economic simulation was conducted to evaluate the financial impact on Portuguese public hospitals.

Results
The deployed model, based on LightGBM, achieved an area under the receiver operating characteristic curve of 88%. In the trial deployment phase at a single hospital, 3.8% (123/3231) of cases triggered alarms for potentially unnecessary cesarean deliveries. Financial simulation results indicated potential benefits for 30% (15/48) of Portuguese public hospitals with the implementation of our tool. However, this study acknowledges biases in the model, such as combining different vaginal delivery types and focusing on potentially unwarranted cesarean deliveries.

Conclusions
This study presents a promising system capable of identifying potentially incorrect cesarean delivery decisions, with potentially positive implications for medical practice and health care economics. However, it also highlights the challenges and considerations necessary for real-world application, including further evaluation of clinical decision-making impacts and understanding the diverse reasons behind delivery type choices. This study underscores the need for careful implementation and further robust analysis to realize the full potential and real-world applicability of such clinical support systems.
Effect of Performance-Based Nonfinancial Incentives on Data Quality in Individual Medical Records of Institutional Births: Quasi-Experimental Study
Authors: Taye Biniam Kefiyalew , Gezie Lemma Derseh , Atnafu Asmamaw , Mengiste Shegaw Anagaw , Kaasbøll Jens , Gullslett Monika Knudsen , Tilahun Binyam 
Published: April 2024

Background
Despite the potential of routine health information systems in tackling persistent maternal deaths stemming from poor service quality at health facilities during and around childbirth, research has demonstrated their suboptimal performance, evident from the incomplete and inaccurate data unfit for practical use. There is a consensus that nonfinancial incentives can enhance health care providers’ commitment toward achieving the desired health care quality. However, there is limited evidence regarding the effectiveness of nonfinancial incentives in improving the data quality of institutional birth services in Ethiopia.

Objective
This study aimed to evaluate the effect of performance-based nonfinancial incentives on the completeness and consistency of data in the individual medical records of women who availed institutional birth services in northwest Ethiopia.

Methods
We used a quasi-experimental design with a comparator group in the pre-post period, using a sample of 1969 women’s medical records. The study was conducted in the “Wegera” and “Tach-armacheho” districts, which served as the intervention and comparator districts, respectively. The intervention comprised a multicomponent nonfinancial incentive, including smartphones, flash disks, power banks, certificates, and scholarships. Personal records of women who gave birth within 6 months before (April to September 2020) and after (February to July 2021) the intervention were included. Three distinct women’s birth records were examined: the integrated card, integrated individual folder, and delivery register. The completeness of the data was determined by examining the presence of data elements, whereas the consistency check involved evaluating the agreement of data elements among women’s birth records. The average treatment effect on the treated (ATET), with 95% CIs, was computed using a difference-in-differences model.

Results
In the intervention district, data completeness in women’s personal records was nearly 4 times higher (ATET 3.8, 95% CI 2.2-5.5; P=.02), and consistency was approximately 12 times more likely (ATET 11.6, 95% CI 4.18-19; P=.03) than in the comparator district.

Conclusions
This study indicates that performance-based nonfinancial incentives enhance data quality in the personal records of institutional births. Health care planners can adapt these incentives to improve the data quality of comparable medical records, particularly pregnancy-related data within health care facilities. Future research is needed to assess the effectiveness of nonfinancial incentives across diverse contexts to support successful scale-up.
IDENTITAS NASIONAL: KONTRIBUSI PROGRAM P5 DALAM KURIKULUM BARU GUNA MEMBANGUN RASA NASIONALISME ANAK SEKOLAH DASAR
Authors: Rambe Novi Astika , Nasution Liliana Agusfrina , Yunita Sri , Dharma Surya 
Published: April 2024

Abstract: The very rapid development of technology and the flow of globalization are things that must be considered and have an influence on the erosion of the sense of nationalism of future generations. The purpose of this research is to determine the contribution of the p5 program as a project to strengthen the profile of Pancasila students in schools towards a sense of nationalism. Indonesia is a pluralistic country that is rich in diversity in terms of ethnicity, religion, race and class. Diversity has many influences, such as gaps that can lead to conflict between groups or are caused by differences in culture and background between groups in society. So character cultivation is very necessary to provide understanding and strengthen the spirit of nationalism in students. The spirit of nationalism is a feeling of pride and love for one's country so that one is able to respect and respect the differences that exist in society. This research uses a literature study with a systematic review where data collection comes from textbooks, journals, scientific articles, and other literature reviews that are appropriate to the research study. The results of this research are regarding the contribution of implementing P5 activities through themes that are relevant to the need to build a sense of nationalism in students, especially at elementary school age.Keywords: National Identity, P5, Pancasila Student Profile, Sense of Nationalism, Globalization. Abstrak: Perkembangan teknologi yang sangat pesat dan arus globalisasi menjadi salah satu hal yang harus diperhatikan dan berpengaruh terhadap pengikisan rasa nasionalisme generasi kedepan. Tujuan adanya penelitian ini adalah untuk mengetahui kontribusi program p5 sebagai proyek penguatan profil siswa Pancasila di sekolah terhadap rasa nasionalisme. Indonesia adalah negara majemuk yang kaya akan keanekaragaman baik dari segi suku, agama, ras dan golongan. Keragaman memiliki banyak pengaruh, seperti kesenjangan yang dapat menimbulkan konflik antar kelompok atau disebabkan oleh perbedaan budaya dan latar belakang antar kelompok dalam masyarakat. Sehingga penanaman karakter sangat diperlukan untuk memberikan pemahaman dan memperkuat jiwa nasionalisme pada siswa. Semangat nasionalisme adalah rasa bangga dan cinta tanah air sehingga mampu menghargai dan menghargai perbedaan yang ada dalam masyarakat. Penelitian ini menggunakan studi pustaka dengan tinjauan sistematis dimana pengumpulan data berasal dari buku teks, jurnal, artikel ilmiah, dan kajian pustaka lain yang sesuai dengan kajian penelitian. Hasil dari penelitian ini yaitu mengenai kontribusi pelaksanaan kegiatan P5 melalui tema-tema yang diusung relevan dengan kebutuhan dalam membangun rasa nasionalisme peserta didik terlebih pada usia sekolah dasar. Kata Kunci: Identitas Nasional, P5, Profil Pelajar Pancasila, Rasa Nasionalisme, Globalisasi.
A Literature Review on Solid Waste Management and Disposal Behavior at the Base of the Pyramid
Authors: Raab Katharina 
Published: April 2024

Abstract
Consumer behavior in disposing of products has substantial consequences for the environment that affect all of us. Waste management is a major challenge faced by many developing countries, underlining the relevance of this literature review. Even when academia tries to shed light on this field, it often fails to consider that waste management must be approached differently in less developed countries, which differ dramatically from advanced countries, especially with regard to consumers’ behavioral characteristics. Further, limited effort has been made to systematize the existing literature by highlighting areas of interest in the scholarly discussion. This literature review contributes to the field by illuminating focal points in scholarly research on the background of solid waste management and the disposal behavior of people living at the base of the pyramid. It explores how scholarly research results can guide scholars and practitioners who are contributing to a positive shift in waste management practices. Its novelty arises from annotating scholarly theories and managerial approaches that promise to advance the understanding of sustainable waste management in developing countries. Additionally, the utilization of VOSviewer’s network visualization involving cluster building and keyword occurrences, contributes to the methodological originality of the study. Selective keyword research in the Web of Science database identified 124 pertinent articles for review. This underscores the importance of this literature review, especially in light of the significant increase in publications in this research domain, with approximately 70% (87 of 124 articles) published since 2019. The results show that knowledge, participation, and the active involvement of the local communities are key components in achieving sustainable waste management. Shaping individuals’ attitudes and awareness is vital for promoting pro-environmental behaviors in developing countries. The results also show a prominent focus on recycling behavior and an extensive use of the theory of planned behavior.
The Implementation of Multimedia Interactive Visual (MIVI) Learning to Improve Students' Creative Thinking and Collaboration Skills
Authors: Nurkanti Mia , Yasundari  
Published: April 2024

Objective: This research aims to explore the implementation of multimedia interactive visual (MIVI) learning to improve students’ creative thinking and collaboration skills on the topic of the food digestive system.

Methods: This research uses the Pre-Experiment Design method with using the research design of One-Group Pre-test-Post-test Design. The subjects in this research are determined by purposive sampling technique; they are students of XI MIA-7 20 Bandung Senior High School in the 2020-2021 school year.

Result: The result of this research shows that in the cognitive aspect, the average point pre-test is 42,70, and the post-test is 82,46. Then, the test result of N-Gain is 42,70 as the medium category. Thus, the result of this research in the affective aspect gets 85 points in the average as well category, and psychomotor gets 86 on average in the very well category. At the same time, all the students' questionnaires got positive results, which is 79% in all categories. From all those data, this research concludes that the use of MIVI learning media can increase the student's learning outcomes in the human, mechanical system topic.