bluuebunny/crossref_metadata_2025_split huggingface dataset:
Selected ‘Starter Kit’ energy system modelling data for Congo Republic (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Halloran Claire , Charbonnier Flora , Hirmer Stephanie , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Taliotis Constantinos , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger 
Published: April 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Congo Republic, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Study on rapid screening technology of antisense oligonucleotides for SARS-CoV-2
Authors: Shen Huawei 
Published: April 2021

Abstract
According to the structural characteristics of SARS-CoV-2 nucleic acid,SARS-CoV-2 genomes were virtually segmented. After comparing with human genome, 44707 SARS-CoV-2 genomes and 26 primates' genomes, 18 antisense oligonucleotides sequences were selected. Experimental results show that the combined inhibitory effect reaches 100% .
Selected ‘Starter Kit’ energy system modelling data for Gambia (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger , Hirmer Stephanie 
Published: April 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Gambia, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Selected ‘Starter Kit’ energy system modelling data for Morocco (#CCG)
Authors: Cannone Carla , Allington Lucy , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger 
Published: April 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Morocco, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Selected ‘Starter Kit’ energy system modelling data for Zambia (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Cronin Jen , Pye Steve , Brown Edward , Howells Mark , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger 
Published: April 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Zambia, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Radiation-induced changes in vanadium speciation in basaltic glasses: Implications for oxybarometry measurements using vanadium K-edge X-ray absorption spectroscopy
Authors: Lanzirotti Antonio , Sutton Stephen , Newville Matthew , Head Elisabet 
Published: April 2021

Abstract
Magmatic oxygen fugacity (fO2) exerts a primary control on the discrete vanadium (V) valence states that will exist in quenched melts. Vanadium valence proxies for fO2, measured using X-ray absorption near-edge spectroscopy (XANES), can provide highly sensitive determinations of the redox conditions in basaltic melts. However, X-ray beam-induced changes in V speciation will introduce uncertainty in the calculated average V valence (V*) that must be properly evaluated to make meaningful interpretations of the igneous evolution of the system. The study presented here showed that beam-induced modifications in V speciation are observed in silicate glasses that are dependent on the radiation dose rate used during analysis. Changes in V speciation are observed to be most pronounced at the highest flux density tested, 9.25 × 1011 ph/s/µm2 (photons per second per square micrometer), with rapid changes occurring in the first 200 s of analysis. The high-dose rate conditions result in changes in calculated V* ~0.3 valence unit for the most oxidized glass analyzed (V* = 4.94), which can correspond to ~0.5 log unit reduction in calculated fO2. However, at flux densities ≤1.13 × 109 ph/s/μm2, measured changes in V* were found to be &lt;0.03 for all standard glasses analyzed. The degree of reduction observed during analysis is also found to be progressively smaller as the initial V* of the glass decreases, such that magmatic glasses with V* values ≤3.7 show no statistically significant change in calculated valence during analysis at any flux density tested. For most terrestrial magmatic glasses, where V* is found to be &lt;4, beam-induced changes in V* can be effectively minimized (&lt;0.04), within analytical uncertainty of the XAFS analysis, by limiting flux densities to be ≤1 × 109 ph/s/μm2.
Expansão da Inovação Social: Uma Análise Sob Perspectivas de Processo e Resultado
Authors: Medeiros Carolina Beltrão de , Gómez Carla Regina Pasa 
Published: April 2021

Este artigo tem como objetivo principal analisar a disseminação de uma iniciativa de inovação social, por meio de uma rede colaborativa, que tem como ponto aglutinador uma associação de famílias que almejam o desenvolvimento de políticas públicas direcionadas a crianças acometidas por microcefalia. O estudo foi norteado por indicadores qualitativos, utilizando o modelo de Medeiros (2018) como referencial norteador da análise, que tem como premissa ambas as abordagens de processo e resultado da inovação social. A coleta de campo envolveu dados primários e secundários, que foram discutidos, respectivamente, por meio de análise de conteúdo categorial e análise documental. A análise possibilitou inferir que a iniciativa estudada tem trilhado uma linha de expansão de suas práticas seguindo um sistema de retroalimentação: a mudança social alcançada nos territórios surge como consequência das práticas sociais emergentes, obtidas por meio da rede de colaboração formada (processo), que tem proporcionado novas respostas locais para os atores beneficiários da iniciativa (resultado), como ações da sociedade civil e do Poder Público com o objetivo de proporcionar inclusão social para as crianças e melhoria em suas condições de vida.
Distribution and potential health risk of nitrate in centralized groundwater sources of Wanbei Plain, Central China
Authors: Hu Yunhu , You Mu , Liu Guijian , Dong Zhongbing 
Published: April 2021

Abstract
Centralized groundwater sources are the main source for drinking, domestic, industry, and agriculture in Central China. Thirty-five centralized groundwater sources were selected to determine the concentration and distribution characterization of nitrate in Wanbei Plain, Anhui Province. Meanwhile, the health risk assessment model recommended by USEPA was used to evaluate the potential health risk for adults and children. The results showed that the average concentration of nitrate in the pore water is lower than that of karst water, which may be attributed to the thinner thickness of loose sediments for karst water. The nitrate in groundwater mainly originates from chemical fertilizers, industrial and domestic waste. The health risk of nitrate to children through drinking water intake and skin contact was significantly higher than that of adults, which was explained by their being more sensitive receptors and facing higher health risks than adults. The non-carcinogenic risk of nitrate in all samples was within the acceptable range. The results also indicated drinking water control is the main way to reduce nitrate health risk. Nevertheless, there is an urgent need to take measures to strengthen groundwater management, improve groundwater quality, and reduce nitrate health risk.
Factors influencing personal hygiene among primary schoolchildren in western Côte d'Ivoire
Authors: Kouakou Julie Sackou , Tiadé Marie Laure , Barro Pulchérie Kiki , Kouamé Jérôme , Bediakon Mariette Gokpeya , Desquith Aka Angèle , Kouadio Luc 
Published: April 2021

AbstractPersonal hygiene has an impact on the health, quality of life and academic performance of schoolchildren. The factors associated with it can be complex. We carried out our analysis based on a database on hookworms in schoolchildren in Côte d'Ivoire. This is a cross-sectional retrospective study, on 2,035 schoolchildren recruited from 30 schools in the western region of Côte d'Ivoire. The predictors of good personal hygiene for schoolchildren were the existence of a good level of sanitation at home (OR = 1.62; 95% CI = 1.24–2.13) and a primary school education as the minimum level of education for the father (OR = 1.48; 95% CI = 1.12–1.96). In contrast, students below the age of ten attending poor sanitary establishments are more likely to have poor personal hygiene (OR = 0.40; 95% CI = 0.22–0.73); therefore, it becomes necessary to provide good basic environmental sanitation for families and schools.
Effects of input/output parameters on artificial neural network model efficiency for breakthrough contaminant prediction
Authors: Pal Jayashree , Chakrabarty Dibakar 
Published: April 2021

Abstract
Groundwater quality assessment is characterized by pollution injection rates, pollution injection locations and duration of pollution injection for identifying spatial and temporal variation. In this study, spatial variations are obtained by placing observation wells in the downstream zone. Temporal variations in contaminant concentration has been simulated during the study period. Generally, simulations are carried out using various numerical models, which are subject to the availability of all required input parameters and are necessary for the proper management of contaminated aquifers. In previous publications, artificial neural networks (ANNs) are prescribed in such situations as these modeling methods focus on available input/output datasets, thus resolving the concern of obtaining all inputs that a numerical simulator usually demands. Past studies have predicted groundwater breakthrough contaminants. But the effects of input/output variations need to be discussed. This study aims to quantify the effects of a few input/output datasets in the performance of ANN models to simulate pollutant transport in groundwater systems. The combinations of input/output scenarios have rendered these ANN models sensitive to variations, thus affecting model efficiency. These outcomes can reliably be employed for contaminant estimation and provide a paradigm in data collection that will help hydrogeologists to develop more efficient prediction models.
Benefiting From Digital Use: Prospective Association of Internet Use With Knowledge and Preventive Behaviors Related to Alzheimer Disease in the Israeli Survey of Aging
Authors: Neter Efrat , Chachashvili-Bolotin Svetlana , Erlich Bracha , Ifrah Kfir 
Published: April 2021

Background
Previous work documented the beneficial association between internet use and improved cognition, functional capacity, and less cognitive decline among people in late adulthood. This work focused on potential mechanisms of such an association: knowledge on Alzheimer disease (AD) and preventive behaviors related to AD.

Objective
The aim of this study was to examine prospective associations of internet use and perceived computer skills with knowledge on AD and preventive behaviors related to AD.

Methods
The sample included 1232 older adults (mean age 71.12 [SD 9.07]) drawn from the Israeli branch of the Survey of Health, Aging, and Retirement in Europe (SHARE-Israel). The sample is representative of Israeli households of adults aged 50 or older and their spouses. Data analyzed were collected in person during 2015 (Wave 6), and in a drop-off questionnaire following the in-person 2017 data collection (Wave 7).

Results
Although both internet use and perceived computer skills were prospectively associated with knowledge and behaviors related to AD in bivariate analyses, after controlling for sociodemographics, only internet use was associated with more such knowledge (β=.13, P<.001) and behaviors (β=.22, P<.001).

Conclusions
Internet use emerged as a prospective predictor of protective factors against AD. Policymakers should advance digital engagement so as to enhance knowledge on AD and preventive behaviors among older adults.
Pemberdayaan Pemuda Karang Taruna Desa Ngentakrejo dalam Masa/ Pasca Darurat Covid-19 Melalui Kegiatan Kesenian
Authors: Jatmiko Rahmawan , Adi Ida Rochani , Saktiningrum Nur 
Published: April 2021

This Community Service program is intended as one of assistance service programs for people affected by the Covid-19 pandemic, which has created major impacts on the pattern of people's lives in practically all aspects and levels of society, including the youth organizations in rural areas. This program focuses on facilitating activities which can maintain productivity and enthusiasm of the youths during the pandemic/ post-pandemic situation. Some of the initial inputs and data of the youth group targeted for the activity, namely the youth organization Tunas Harapan Ngentakrejo, were obtained during the observation period which was then followed up for realization of the program. All of the activities in the program are carried out online or remotely, with internet communication media, by utilizing common communication technology devices, applications and software. This activity, conducted from July 2020 to mid-October 2020, has resulted in a collaborative video output featuring artistic activities produced youth organizations Tunas Harapan Ngentakrejo.
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Program Pengabdian kepada Masyarakat ini ditujukan sebagai salah satu bentuk program pendampingan bagi masyarakat yang terdampak pandemi Covid-19 yang merupakan sebuah peristiwa yang berdampak besar bagi pola kehidupan masyarakat hampir di semua aspek dan lapisan masyarakat, tak terkecuali generasi muda di pedesaan, agar nantinya dapat menjaga produktifitas dan semangat mereka dalam berkarya. Beberapa masukan awal dari kelompok pemuda sasaran kegiatan yakni pemuda karang taruna Tunas Harapan Ngentakrejo telah diperoleh pada masa observasi yang selanjutnya ditindaklanjuti sehingga terwujud program kegiatan ini. Keseluruhan kegiatan ini dilakukan dengan cara online atau jarak jauh, menggunakan media komunikasi via internet memanfaatkan perangkat-perangkat teknologi komunikasi serta beberapa software yang dapat digunakan untuk produksi karya bersama. Kegiatan yang dimulai sejak bulan Juli 2020 ini telah selesai dilaksanakan pada pertengahan bulan Oktober 2020, dan mengasilkan luaran berupa hasil video kolaboratif yang menampilkan kegiatan kesenian dari para pemuda karang taruna Tunas Harapan.
Rancang Bangun Phonocardiograf Berbasis Labview
Authors: Febrian Ramdani , Sumanto Budi 
Published: April 2021

The aim of this research is to develop a phonocardiograph system to display the signal and information form of the human heart sound examination. The analytical method applied is to use the Fast Fourier Transform (FFT) to determine the frequency of responses of human heart sound signals by using Labview software. The results obtained indicate the system able to display the signal shape of the heart sound, based on ten respondents whose data are taken shows the range of heart sound frequencies is in the range of 145 to 225 Hz with a duration of 81 to 120 bpm. Keywords: Phonocardiograph, FFT, Labview
Self Regulated Learning dan Dukungan Sosial dengan Prokrastinasi Akademik pada Mahasiswa di Masa Pandemi
Authors: Pratitis Niken Titi , Suroso Suroso , Cahyanti Reni Oktaviana , Sa’idah Farra Lailatus Sa’idah 
Published: April 2021

Abstract— Student academic procastination is a tendency to procrastinate in completing assignments so that it results in not completing assignments and even hindering his studies in Higher Education One of the causes of internal factors is the lack of strategy and self-regulation or self-regulation, while external factors that are also predicted to cause procastination are social support. This quantitative study was aimed at examining the relationship between self-regulated learning and social support and academic procrastination during the pandemic. Research respondents were 266 students of all majors from various public and private universities whose data were obtained through the google form scale, which was distributed through social media applications. The data analysis technique used is the non-parametric Spearman Brown technique and the parametric Pearson correlation technique. The results of data analysis showed that there was a significant correlation between self-regulated learning and academic procastination (sig.0.029) but there was no significant correlation between social support and academic procastination (sig. 0.903).
Keywords: self regulated learning, social support, academic procastination
Abstrak— Prokastinasi akademik mahasiswa merupakan kecenderungan perilaku menunda-nunda menyelesaikan tugas hingga berakibat tidak terselesaikannya tugas bahkan terhambat studinya di Perguruan Tinggi. Salah satu faktor internal penyebabnya adalah kurangnya strategi dan pengaturan diri atau regulasi diri (self regulated) sementara faktor eksternal yang juga diprediksi dapat menyebabkan prokastinasi adalah, dukungan sosial. Penelitian kuatitatif iniditujukan untuk menguji hubungan antara self regulated learning dan dukungan sosial dengan prokrastinasi akademik dimasa pandemi. Responden penelitian adalah 266 orang mahasiswa semua jurusan dari berbagai universitas negeri maupun swasta yang datanya diperoleh melalui skala google form, yang disebarkan melalui aplikasi media sosial. Teknik analisis data yang digunakan yaitu teknik non parametric spearman brown dan teknik parametric pearson correlation. Hasil analisis data menunjukkan bahwa terdapat korelasi yang signifikan antara self regulated learning dengan prokastinasi akademik (p= 0,029) tetapi tidak ada korelasi yang signifikan antara dukungan sosial dengan prokastinasi akademik (p= 0,903).
Kata kunci : self regulated learning, dukungan sosial, prokastinasi akademik
KEBERSYUKURAN, KESEPIAN, DAN DISTRES PSIKOLOGIS PADA MAHASISWA DI MASA PANDEMI COVID-19
Authors: Fathoni Aryo Bima , Listiyandini Ratih Arruum 
Published: April 2021

Penelitian ini bertujuan untuk melihat hubungan antara kebersyukuran, kesepian, dan kondisi kesehatan mental pada mahasiswa di masa pandemi. Penelitian ini menggunakan metode kuantitatif dengan dengan teknik analisis uji korelasi. Teknik sampling yang digunakan dalam penelitian ini adalah convenience sampling. Instrumen yang digunakan adalah adaptasi DASS-21 untuk mengukur distres psikologis, skala kebersyukuran untuk mengukur rasa syukur, dan adaptasi skala UCLA-3 Loneliness Scale untuk mengukur kesepian. Hasil analisis menunjukkan bahwa kebersyukuran berkorelasi negatif dan signifikan dengan distres psikologis (depresi, kecemasan, dan stres) maupun kesepian pada mahasiswa. Hal ini mengindikasikan bahwa semakin tinggi kebersyukuran yang dimiliki oleh mahasiswa, maka semakin rendah gejala depresi, stres, kecemasan, dan kesepian yang dialami. Hasil penelitian ini diharapkan dapat sebagai acuan untuk tenaga pendidik untuk memberikan sosialisasi, pendampingan, dan penurunan beban perkuliahan kepada responden sehingga diharapkan mampu menjaga stabilitas emosi mahasiswa mampu terkendali.