bluuebunny/crossref_metadata_2025_split huggingface dataset:
A new method for calculating the food self-sufficiency ratio: Supply-side food self-sufficiency ratio
Authors: Takahashi Goro 
Published: September 2024

Abstract

Background: The conventional formula for calculating food self-sufficiency cannot cover all the food we eat on a daily basis, and the food self-sufficiency ratios (FSSR) of each country cannot be calculated. The conventional food self-sufficiency ratio (CFSSR) can only calculate the FSSRs of each country for grains. To determine the actual state of food insecurity worldwide as accurately as possible, a method for calculating the FSSR of each country for all the foods we eat on a daily basis is needed. To address this situation, this study proposes the supply-side food self-sufficiency ratio (SSFSSR), which can systematically calculate the self-sufficiency ratio of all foods in all countries/regions.
Results: We compared the results of both calculations under the same conditions and used the same data to determine whether the CFSSR or the SSFSSR is a more suitable method for obtaining basic information and formulating measures of global food security. The results showed that the SSFSSR has advantages and practicality over the CFSSR. The SSFSSR can calculate self-sufficiency ratios for all foods in all countries/regions of the world, and the figures for various statistical tests are better. The food that is the subject of the calculation in the SSFSSR formula is the entire supply from production, distribution, storage, and consumption, excluding duplication in the calculation, and includes primary products required to produce secondary products, such as livestock products and edible oils. The study also highlighted the value of reducing the amount of primary products used to produce secondary products such as livestock and edible oils, thereby lowering the primary product conversion rate (PPCR).
Conclusion: This study used actual data to estimate the SSFSSR for each country/region to demonstrate the applicability of this method and that lowering the PPCR would lead to an increase in the food self-sufficiency ratio. To further refine this methodology, we find that the most important tasks for the future are to collect more reliable data on calories per weight for a large number of foods, expand the number of types covered by more reliable PPCRs, and analyze those data.
Exploring Personal Experience and Value Creation in Postdigital Education: Insights from a Large-Scale MOOC Survey.
Authors: Soleymani Ali , De Laat Maarten , Specht Marcus 
Published: September 2024

Abstract

This study investigates students’ online learning experiences based on their perception of the value this course creates for them through a comprehensive analysis of responses from 1227 participants in MOOCs offered by the Extension School of the Technical University of Delft. Utilizing the value creation framework by Wenger, Trayner, and De Laat (2011), the research explores the immediate, potential, applied, realized, and transformative value creation cycles. Our findings reveal significant insights into the multifaceted impacts of study behavior on learners’ perceptions. Participants reported benefits such as skill acquisition, professional development, and enhanced confidence while highlighting areas needing improvement, such as practical application opportunities and course relevance. This study highlights the importance of aligning MOOC content with learner needs and providing ongoing support to maximize the educational value online courses can offer them. These insights contribute to understanding educational value in the postdigital age, advocating for the development and support of MOOCs to foster continued personal and professional growth.
Transitioning from Wet Lab to Artificial Intelligence: A Systematic Review of AI predictors in CRISPR
Authors: Abbasi Ahtisham Fazeel 
Published: September 2024

Abstract

The revolutionary CRISPR-Cas9 system leverages a programmable guide RNA (gRNA) and Cas9 proteins to precisely cleave problematic regions within DNA sequences. This groundbreaking technology holds immense potential for the development of targeted therapies for a wide range of diseases, including cancers, genetic disorders, and hereditary diseases. CRISPR-Cas9 based genome editing is a multi-step process such as designing a precise gRNA, selecting the appropriate Cas protein, and thoroughly evaluating both on-target and off-target activity of the Cas9-gRNA complex. To ensure the accuracy and effectiveness of CRISPR-Cas9 system, after the targeted DNA cleavage, the process requires careful analysis of the resultant outcomes such as indels and deletions. Following the success of artificial intelligence (AI) in various fields, researchers are now leveraging AI algorithms to catalyze and optimize the multi-step process of CRISPR-Cas9 system. To achieve this goal AI driven applications are being integrated into each step, but existing AI predictors have limited performance and many steps still rely on expensive and time-consuming wet-lab experiments. The primary reason behind low performance of AI predictors is the gap between CRISPR and AI fields. Effective integration of AI into multi-step CRISPR-Cas9 system demands comprehensive knowledge of both domains. This paper bridges the knowledge gap between AI and CRISPR-Cas9 research. It offers a unique platform for AI researchers to grasp deep understanding of the biological foundations behind each step in the CRISPR-Cas9 multi-step process. Furthermore, it provides details of 80 available CRISPR-Cas9 system-related datasets that can be utilized to develop AI-driven applications. Within the landscape of AI predictors in CRISPR-Cas9 multi-step process, it provides insights of representation learning methods, machine and deep learning methods trends, and performance values of existing 50 predictive pipelines. In the context of representation learning methods and classifiers/regressors, a thorough analysis of existing predictive pipelines is utilized for recommendations to develop more robust and precise predictive pipelines.
La Cruz Roja Colombiana: rol de un sujeto activo de la acción humanitaria en el posacuerdo colombiano.
Authors: Montaño Ordóñez Sebastián 
Published: September 2024

La acción humanitaria está encaminada a emprender acciones dirigidas a prevenir y aliviar el sufrimiento de las personas víctimas de desastres naturales, conflictos armados u otras situaciones de violencia. El conflicto armado interno de más de cinco décadas entre el Estado colombiano y la otrora guerrilla de las Fuerzas Armadas Revolucionarias de Colombia-Ejército del Pueblo (FARC-EP) ha dejado cuantiosas consecuencias humanitarias que obstruyen o dificultan los esfuerzos aunados por parte del Estado, sociedad civil organizada, organismos regionales e internacionales, las ONG y el individuo mismo, entre otros, por impulsar y construir paz al interior del territorio Colombiano. Continuando con lo anterior, la Sociedad Nacional de la Cruz Roja Colombiana es una institución que lleva más de cien años desarrollando y realizando acción humanitaria en el país, en aras de salvaguardar la integridad física y moral -respeto por la dignidad humana- de las personas en toda circunstancia a través del empoderamiento de las comunidades, la abogacía por la protección, garantía y promoción de los Derechos Humanos y del Derecho Internacional Humanitario, el fomento de una cultura de paz, entre otras acciones. Es por eso que el presente artículo busca escudriñar el papel que puede desempeñar la Cruz Roja Colombiana de cara al desarrollo, fortalecimiento y construcción de la paz en el posacuerdo, por el cual está atravesando Colombia actualmente.
Prediction of aeration performance of different types of piano key weirs using different machine learning models
Authors: Narwal Niyati , Bansal Nipun , Singh Deepak , Kumar Munendra 
Published: September 2024

ABSTRACT
Aeration is a cost-effective and efficient method for increasing the available oxygen or dissolved oxygen content in water bodies, which is crucial for the existence of aquatic life. However, conventional techniques for estimating aeration in different hydraulic structures are time-consuming and incorrect ways to approximate aeration. Therefore, new, computationally more efficient, and more accurate methods are required. In this article, three machine learning models are presented: (1) ELM (extreme learning machine) model, (2) online sequential extreme learning machine model, and (3) I-ELM (incremental extreme learning machine) model. These models assess the air conditioning capacity of the three variants of Piano Key Weirs (PKWs), denoted as A, B, and C, about Cd, Cs, and Cu, which are the three most important parameters for aeration efficiency at different temperatures. The model performance is evaluated and compared based on mean squared error, root-mean-square error, correlation coefficient, mean absolute error, and Nash–Sutcliffe efficiency. This research concludes that I-ELM is the best-performing model for complete available data that are time invariant.
Research on the synergy of the water–energy–food composite system in the Beijing–Tianjin–Hebei region
Authors: Wang Jing , Cui Xiaoyi , Zhao Mengru , Zheng Tao , Tu Chuang , Zhang Ying 
Published: September 2024

ABSTRACT

Water, energy, and food are interdependent and mutually restrictive, and changes in any one resource may have an impact on the others. In order to promote the sustainable utilization of resources, it is important to study the synergy of the water–energy–food composite system (WEFCS). Taking the Beijing–Tianjin–Hebei region as an example, this study adopts the composite system synergy degree model to quantitatively measure the synergy degree of WEFCS from 2011 to 2021, then constructs an evolutionary model to identify the interactions between the subsystems, and finally analyzes the interactions dynamically by using the panel vector autoregression model. The results show that the WEFCS synergy level in the Beijing–Tianjin–Hebei region is generally basic and shows low stability during the study period. Regional subsystems are more dependent than collaborative or competitive. Moreover, the regional water subsystem has a short-term positive impact on the energy subsystem, the energy subsystem has a short-term negative impact on the food subsystem, and the food subsystem has a delayed and complex influence on the water and energy subsystems, with the water subsystem being particularly affected. This study provides a decision-making basis for policymakers to optimize resource allocation.
La dignificación plena del trabajo doméstico asalariado: pasos adelante y tareas pendientes. Un repaso a las últimas reformas en España desde la perspectiva del feminismo jurídico
Authors: Guamán Hernández Adoración 
Published: September 2024

En el trabajo doméstico asalariado confluyen diversos ejes de subordiscriminación —feminización, informalidad y condición migratoria— que exigen un análisis interseccional de su realidad y de los elementos de regulación, como vía imprescindible para abordar las reformas necesarias de los marcos normativos que lo encuadran. Así, el Convenio 189 sobre las trabajadoras y los trabajadores domésticos de 2011, fue una norma fundamental cuyo desarrollo a nivel estatal debe ser evaluado a la luz de la perspectiva de género, y con los postulados del feminismo jurídico. Para efectos de plasmar este análisis en un caso concreto, se revisa el caso español; en concreto el Real Decreto-ley 16/2022, de 6 de septiembre, para la mejora de las condiciones de trabajo y de seguridad social de las personas trabajadoras al servicio del hogar. Se indican los avances y las metas que aún quedan por alcanzar para la consecución de la eliminación de las discriminaciones sexogenéricas, que se mantienen respecto de esta relación laboral. Esta revisión es imprescindible para la construcción de un “derecho del trabajo feminista”, que consiga la igualdad de género real y efectiva en el ámbito de las relaciones de trabajo.
Insect community structure in young and productive coffee farms under leucaena shade of Jember Regency, East Java, Indonesia
Authors: Tsaniyah Indah Zainatuts , Suci Rahayu Dwi , Setiawan Rendy 
Published: September 2024

The developmental phase of Robusta coffee plantations with agroforestry systems exhibits varying ecosystem characteristics (biotic and abiotic), therebyinfluencing the dynamics of insect community composition within them. One of the major coffee-producing centers in East Java is Jember Regency, where coffeecultivation commonly employs agroforestry systems with various shade trees. Understanding the abundance of insect species in agroforestry coffee plantations is important for determining insect pest control measures. This research aims to study the insect community structure in young coffee and productive coffee farms. Insect sampling was conducted in young coffee farms and productive coffee farms at the Kaliwining Experimental Station, Indonesian Coffee and Cocoa Research Institute (ICCRI), by using road sampling methods with insect nets and pitfall traps. Both types of plantations utilize Leucaena sp. var L2 as shade trees, forming agroforestry coffee plantation systems. Data analysis was performed by calculating the Shannon-Wiener diversity index (H’) to assess insectdiversity and the independent sample t-test to determine differences in insect abundance based on functional roles between the two farms. The results indicatethat the composition and abundance of insects in productive coffee farms are higher than in young coffee farms, resulting in a higher insect diversity index valuefor productive coffee farms (categorized as high), while young coffee farms fall into the moderate category. Furthermore, based on their functional roles, productive coffee farms positively influence the abundance of herbivorous, predatory, parasitoid, and detritivorous insects.
The Development of Powerpoint-Assisted Algebra Learning Media to Increase Students’ Mathematical Communication Ability on Junior High School
Authors: Harisah Iis , Anita Ika Wahyu , Rohaeti Euis Eti 
Published: September 2024

The matter of algebraic form is crucial to study because the matter of the algebraical form is not only related to other mathematical matters but also related to everyday life, but there are still many students who have difficulty in communicating the explanation of the origin of the algebraic form. This is because the learning media used by the teacher is not interactive, so it affects the student's understanding and communication skills. For this reason, the study aims to cultivate the interest in learning and cultivate students' mathematical communication skills by developing algebraic learning media supported by a PowerPoint application. The method used in this research is research and development, with the development of a modified 4-D model in three stages namely determining, designing, and developing. The tool used to measure the quality of the learning media is a validation questionnaire for measuring the validity and student response to strengthen practicality. The results of this study show that the quality of the learning media meets the valid criteria with an overall average score of 79% and From the test carried out against students obtained an average scoring of 76%. Thus, the development of algebra learning media supported by the PowerPoint application has good quality and can be used in mathematical learning.
La inaplicación del fin constitucional de peligro para la comunidad en la medida de aseguramiento a la luz del Sistema Interamericano
Authors: Coca Medina Fernanda Liliana , Ortiz Barrera Yenny Yazmin 
Published: September 2024

El control difuso ha sido establecido como una herramienta que permite a los Estados miembros de la Convención Americana sobre Derechos Humanos, concretar en todos los ámbitos, especialmente en el jurisdiccional, las obligaciones de respeto y garantía de los derechos humanos, mediante la verificación de la conformidad de las normas internas y las prácticas nacionales con esta (CADH) y la jurisprudencia de la Corte Interamericana; además como una contribución en el desarrollo de la dogmática, la concreción de las garantías hermenéuticas de estos derechos consagrados internacionalmente e integrados normativamente en el ámbito interno, para que los Estados partes cumplan efectivamente con las obligaciones adquiridas en esta materia. Finalmente, se precisa que el control de convencionalidad es una institución jurídica del derecho internacional de aplicación en nuestro ámbito interno, y a través de la teoría del apartamiento, los jueces pueden cumplir con los requisitos jurídicos para inaplicar el precedente que establece como fundamento de la medida de aseguramiento el peligro para la seguridad de la comunidad; y así hacer un análisis de esta teoría desde el punto de vista formal y práctico en el ejercicio jurisdiccional.
Exploring The Influence of Short Travel Reels and Video Reviews on Travel Inspiration: A Study of Island Reviews
Authors: Johari Mohd Hasrul Yushairi , Zamri Nur Syamimi Nadrah , Azmi Nor Ain Maisarah 
Published: September 2024

This study investigates the impact of short travel video reels on travel inspiration and intention, focusing on how presenter attractiveness, destination attractiveness, and video design influence viewers’ motivation to travel. Despite extensive research on traditional travel marketing methods, there is a notable gap in exploring the role of short-form video content in influencing travel-related decisions. The primary objective of this research is to examine how various elements of short travel video reels affect travel inspiration and intention. The study employs a systematic sampling technique with an intercept method, utilising survey data from participants who watched short travel videos showcasing different presenters, destinations, and video designs. The methodology includes mediation and moderation analyses to assess the relationships between the attractiveness factors and travel intention mediated by travel inspiration. The findings reveal that presenter attractiveness, destination attractiveness, and video design significantly influence travel intention, with travel inspiration as a critical mediator. The study confirms that engaging and visually appealing travel videos can effectively stimulate viewers’ desire to travel. However, the expected moderating effect of openness to experience on these relationships was not supported, suggesting that other factors may play a more significant role in shaping travel inspiration. For marketers and content creators, the findings highlight the importance of investing in high-quality, visually compelling travel content and selecting charismatic presenters to maximise viewer engagement. Additionally, the research underscores the need for future studies to explore emerging media formats and cultural variations in travel inspirations.
Desa Wisata Pulutan Berbasis Potensi Lokal
Authors: Dyah Indriyaningsih Septeri  , Samsuharjo  , Tanti Apriyani  , Pamuji Raharjo  , Rizaldi Patria  
Published: September 2024

Peranan sektor pariwisata pada umumnya dirasakan di berbagai daerah, tak terkecuali di Kabupaten Gunungkidul. Adapun tujuan penelitian ini ialah untuk menganalisis berbagai potensi lokal yang dimiliki Kalurahan Pulutan, kemudian menganalisis bagaimana upaya pengembangan desa wisata secara berkelanjutan. Metode yang digunakan dalam penelitian ini adalah kualitatif dengan pendekatan deskriptif. Pemilihan informan penelitian menggunakan metode purposive sampling. Teknik pengumpulan data dilakukan melalui wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa Bumdesa Maju Mandiri merupakan motor penggerak perekonomian masyarakat di Kalurahan Pulutan, salah satunya melalui program desa wisata. Adapun berbagai potensi lokal yang dikembangkan desa wisata ini mulai dari wisata alam, budaya, kesenian, kerajinan, kuliner, wisata buatan dan wisata minat khusus. Lembah Desa Pulutan merupakan obyek wisata unggulan di Kalurahan Pulutan yang menjadi daya tarik wisatawan baik lokal maupun nasional. Implikasi dari pengembangan desa wisata Kalurahan Pulutan mampu berkontribusi pada peningkatan pendapatan masyarakat lokal yang terlibat dalam aktivitas pariwisata serta mampu meningkatkan pendapatan asli desa. Masyarakat lokal yang awalnya bekerja di sektor pertanian mampu meningkatkan pendapatan melalui sektor pariwisata. Pada sisi yang lain, keberlanjutan desa wisata menjadi penting di tengah – tengah berbagai permasalahan dan tantangan yang harus dihadapi oleh Desa Wisata Pulutan, sehingga aspek utama pengembangan desa wisata (daya tarik wisata, aksesbilitas, dan amenitas) harus diupayakan secara optimal.
Video Pembelajaran Pramuka Prasiaga untuk Meningkatkan Profil Pelajar Pancasila Anak Kelompok B Taman Kanak-Kanak
Authors: Nurul Indana  , Rendy Setyowahyudi  
Published: September 2024

Dalam memenuhi pembelajaran yang baik hendaknya melibatkan hal-hal yang menarik dan menyenangkan seperti penyediaan media pembelajaran yang menyenangkan anak usia dini sehingga akan lebih mudah memahami pembelajaran yang disampaikan pendidik. Tujuan pnelitian ini yakni untuk membuktikan efektivitas video pembelajaran pramuka prasiaga untuk meningkatkan profil pelajar Pancasila anak kelompok B Taman Kanak-Kanak. Jenis penelitian ini adalah penelitian pengembangan menggunakan model ADDIE. Subjek penelitian ini adalah 20 anak kelompok B, dengan objek penelitian yaitu kemampuan meningkatkan Profil pelajar Pancasila anak usia dini. Metode pengumpulan data dengan pedoman wawancara, observasi dan kuesioner. Instrumen pengumpulan data menggunakan lembar observasi dan lembar kuisioner. Teknik analisis data yang digunakan pada penelitian ini adalah analisis kualitatif dan analisis kuantitatif. Berdasarkan hasil uji t untuk mengetahui efektivitas media diketahui bahwa tabel output Paired Sample T-Test, memperoleh ada perbedaan rata-rata antara hasil belajar pre-test dan post-test ada pengaruh penggunaan media. Disimpulkan bahwa media video pembelajaran pramuka prasiaga layak dan efektif digunakan untuk meningkatkan Profil pelajar Pancasila anak kelompok B Taman Kanak-kanak. Implikasi penelitian ini yakni, diharapkan mampu menjadi pedoman bagi guru dalam melaksanakan kegiatan pramuka yang menarik.
Rancang Bangun Portal Pembelajaran Online Menggunakan Framework Laravel
Authors: Muhammad Ardan  , Handoko Supeno  , R. Sandhika Galih Amalga  
Published: September 2024

Saat ini pembelajaran telah berevolusi menggunakan media internet sehingga siswa dapat belajar dimanapun dan kapanpun. Web adalah salah satu teknologi yang memungkinkan pembelajaran online yang berbentuk e-learning menjadi mungkin. Untuk dapat membangun web secara efektif dan efisien maka pengembang menggunakan framework dalam pengembangan aplikasinya. Salah satu framework yang handal adalah Laravel. Tujuan dari penelitian ini adalah melakukan pembangunan portal pembelajaran online dengan efektif menggunakan framework laravel. Pembangunan web tersebut dilakukan melalui beberapa tahapan antara lain analisis, perancangan, pembangunan, pengujian, dan implementasi. Untuk meningkatkan motivasi siswa dalam pembelajaran jarak jauh maka maka diimplementasikan beberapa elemen gamifikasi. Hasil dari penelitian ini adalah produk web elearning dengan beberapa fitur untuk pembelajaran jarak jauh. Penggunaan framework Laravel dan tahapan pengembangan web yang terstruktur telah berhasil menghasilkan produk web yang bisa dimanfaatkan serta dibangun secara efektif dan efisien. Implementasi aspek gamifikasi seperti leaderboard dan badge terbukti meningkatkan motivasi siswa dalam mendalami materi yang diajarkan pada portal pembelajaran yang dibangun.