bluuebunny/crossref_metadata_2025_split huggingface dataset:
DEVELOPING WEB-BASED TEACHING MATERIALS ON THE SUBJECT OF SCHOOL CURRICULUM DEVELOPMENT
Authors: Vidianti Ade , Wijaya DN Johan Eka 
Published: November 2020

The development of science and technology has changed the elements in all fields, especially education. The learning patterns have also changed; one of which is using computer-based or internet / web-based learning, such as: E-learning, online courses, web-based education, and others. This paradigm shift sometimes requires lecturers to be more creative in delivering learning materials to students, especially, in this research, in the subject of school curriculum development. This aims to increase the effectiveness and flexibility of learning. In its implementation, the school curriculum development subject still ituilize printed teaching materials during the learning process. The purpose of this research was to develop web-based teaching materials for the subject of school curriculum development. This research applied research and development method with ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The development of web-based teaching materials in this research was assessed through the expert review stage with an accumulation of assessment results from media experts, design experts, linguists, and media experts. The result showed that the percentage of the expert review was 86% very good category. Then, the percentage of the individual test (one to one) was 85% with very good category. After that, the percentage of small group test was 85% with very good category. Based on these results, it can be concluded that web-based teaching materials are feasible to be applied to in the subject of school curriculum development.
Techno-Economic Assessment of Demand-Driven Small-Scale Green Hydrogen Production for Low Carbon Agriculture in Sweden
Authors: Janke Leandro , McDonagh Shane , Weinrich Sören , Nilsson Daniel , Hansson Per-Anders , Nordberg Åke 
Published: November 2020

Wind power coupled to hydrogen (H2) production is an interesting strategy to reduce power curtailment and to provide clean fuel for decarbonizing agricultural activities. However, such implementation is challenging for several reasons, including uncertainties in wind power availability, seasonalities in agricultural fuel demand, capital-intensive gas storage systems, and high specific investment costs of small-scale electrolysers. To investigate whether on-site H2 production could be a feasible alternative to conventional diesel farming, a model was built for dynamic simulations of H2 production from wind power driven by the fuel demand of a cereal farm located on the island of Gotland, Sweden. Different cases and technological scenarios were considered to assess the effects of future developments, H2 end-use, as well as production scale on the levelised- and farmers’ equivalent annual costs. In a single-farm application, H2 production costs varied between 21.20–14.82 €/kg. By sharing a power-to-H2 facility among four different farms of 300-ha each, the specific investment costs could be significantly decreased, resulting in 28% lower H2 production costs than when facilities are not shared. By including delivery vans as additional H2 consumers in each farm, costs of H2 production decreased by 35% due to the higher production scale and more distributed demand. However, in all cases and technological scenarios assessed, projected diesel price in retailers was cheaper than H2. Nevertheless, revenues from leasing the land to wind power developers could make H2 a more attractive option even in single-farm applications as early as 2020. Without such revenues, H2 is more competitive than diesel where power-to-H2 plants are shared by at least two farms, if technological developments predicted for 2030 come true. Also, out of 20 different cases assessed, nine of them showed a carbon abatement cost lower than the current carbon tax in Sweden of 110 €/tCO2, which demonstrate the potential of power-to-H2 as an effective strategy to decarbonize agricultural systems.
Mathematical Modeling and Optimization Studies by Artificial Neural Network, Genetic Algorithm and Response Surface Methodology: A Case of Ferric Sulfate–Catalyzed Esterification of Neem (Azadirachta indica) Seed Oil
Authors: Okpalaeke Kelechi E. , Ibrahim Taiwo H. , Latinwo Lekan M. , Betiku Eriola 
Published: November 2020

High free fatty acids (FFA) content in oils poses challenges such as soap formation and difficulty in the separation of by-products in direct transesterification of oil to biodiesel, which is of environmental concern and also increases the cost of production. Thus, in this study, the ferric sulfate-catalyzed esterification of neem seed oil (NSO) with an FFA of 5.84% was investigated to reduce it to the recommended level of ≤1%. The esterification process for the NSO was modeled using response surface methodology (RSM) and artificial neural network (ANN). The effect of the pertinent process input variablesviz.methanol/NSO molar ratio (10:1–30:1), ferric sulfate dosage (2–6 wt%), and reaction time (30–90 min) and their interactions on the reduction of the FFA of the NSO, were examined using Box Behnken design. The optimal condition for the process for reducing the FFA content of the oil was established using RSM and ANN-genetic algorithm (ANN-GA). The results showed that the models developed described the process accurately with the coefficient of determination (R2) of 0.9656 and 0.9908 and the mean relative percent deviation (MRPD) of 6.5 and 2.9% for RSM and ANN, respectively. The ANN-GA established the optimum reduction of FFA of 0.58% with methanol/NSO molar ratio of 18.51, ferric sulfate dosage of 6 wt%, and reaction time of 62.8 min as against the corresponding values of 0.62% FFA, 23.5, 5.03, and 75 min established by the RSM. Based on the statistics considered in the study, ANN and GA outperformed RSM in modeling and optimization of the NSO esterification process.
Occupational Stress, Burnout, and Depression in Women in Healthcare During COVID-19 Pandemic: Rapid Scoping Review
Authors: Sriharan Abi , Ratnapalan Savithiri , Tricco Andrea C. , Lupea Doina , Ayala Ana Patricia , Pang Hilary , Lee Dongjoo Daniel 
Published: November 2020

Objectives: The overall objectives of this rapid scoping review are to (a) identify the common triggers of stress, burnout, and depression faced by women in health care during the COVID-19 pandemic, and (b) explore individual-, organizational-, and systems-level interventions that can support the well-being of women HCWs during a pandemic.Design: This scoping review is registered on Open Science Framework (OSF) and was guided by the JBI guide to scoping reviews and reported using the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) extension to scoping reviews. A systematic search of literature databases (Medline, EMBASE, CINAHL, PsycInfo and ERIC) was conducted from inception until June 12, 2020. Two reviewers independently assessed full-text articles according to predefined criteria.Interventions: We included review articles and primary studies that reported on stress, burnout, and depression in HCWs; that primarily focused on women; and that included the percentage or number of women included. All English language studies from any geographical setting where COVID-19 has affected the population were reviewed.Primary and secondary outcome measures: Studies reporting on mental health outcomes (e.g., stress, burnout, and depression in HCWs), interventions to support mental health well-being were included.Results: Of the 2,803 papers found, 28 were included. The triggers of stress, burnout and depression are grouped under individual-, organizational-, and systems-level factors. There is a limited amount of evidence on effective interventions that prevents anxiety, stress, burnout and depression during a pandemic.Conclusions: Our preliminary findings show that women HCWs are at increased risk for stress, burnout, and depression during the COVID-19 pandemic. These negative outcomes are triggered by individual level factors such as lack of social support; family status; organizational factors such as access to personal protective equipment or high workload; and systems-level factors such as prevalence of COVID-19, rapidly changing public health guidelines, and a lack of recognition at work.
Co-expression Network Analysis Reveals Novel Genes Underlying Alzheimer’s Disease Pathogenesis
Authors: Hu Rui-ting , Yu Qian , Zhou Shao-dan , Yin Yi-xin , Hu Rui-guang , Lu Hai-peng , Hu Bang-li 
Published: November 2020

Background: The pathogenesis of Alzheimer’s disease (AD) remains to be elucidated. This study aimed to identify the hub genes in AD pathogenesis and determine their functions and pathways.Methods: A co-expression network for an AD gene dataset with 401 samples was constructed, and the AD status-related genes were screened. The hub genes of the network were identified and validated by an independent cohort. The functional pathways of hub genes were analyzed.Results: The co-expression network revealed a module that related to the AD status, and 101 status-related genes were screened from the trait-related module. Gene enrichment analysis indicated that these status-related genes are involved in synaptic processes and pathways. Four hub genes (ENO2, ELAVL4, SNAP91, and NEFM) were identified from the module, and these hub genes all participated in AD-related pathways, but the associations of each gene with clinical features were variable. An independent dataset confirmed the different expression of hub genes between AD and controls.Conclusions: Four novel genes associated with AD pathogenesis were identified and validated, which provided novel therapeutic targets for AD.
Identification of Metabolism-Associated Prostate Cancer Subtypes and Construction of a Prognostic Risk Model
Authors: Zhang Yanlong , Zhang Ruiqiao , Liang Fangzhi , Zhang Liyun , Liang Xuezhi 
Published: November 2020

BackgroundDespite being the second most common tumor in men worldwide, the tumor metabolism-associated mechanisms of prostate cancer (PCa) remain unclear. Herein, this study aimed to investigate the metabolism-associated characteristics of PCa and to develop a metabolism-associated prognostic risk model for patients with PCa.MethodsThe activity levels of PCa metabolic pathways were determined using mRNA expression profiling of The Cancer Genome Atlas Prostate Adenocarcinoma cohort via single-sample gene set enrichment analysis (ssGSEA). The analyzed samples were divided into three subtypes based on the partitioning around medication algorithm. Tumor characteristics of the subsets were then investigated using t-distributed stochastic neighbor embedding (t-SNE) analysis, differential analysis, Kaplan–Meier survival analysis, and GSEA. Finally, we developed and validated a metabolism-associated prognostic risk model using weighted gene co-expression network analysis, univariate Cox analysis, least absolute shrinkage and selection operator, and multivariate Cox analysis. Other cohorts (GSE54460, GSE70768, genotype-tissue expression, and International Cancer Genome Consortium) were utilized for external validation. Drug sensibility analysis was performed on Genomics of Drug Sensitivity in Cancer and GSE78220 datasets. In total, 1,039 samples and six cell lines were concluded in our work.ResultsThree metabolism-associated clusters with significantly different characteristics in disease-free survival (DFS), clinical stage, stemness index, tumor microenvironment including stromal and immune cells, DNA mutation (TP53 and SPOP), copy number variation, and microsatellite instability were identified in PCa. Eighty-four of the metabolism-associated module genes were narrowed to a six-gene signature associated with DFS, CACNG4, SLC2A4, EPHX2, CA14, NUDT7, and ADH5 (p &lt;0.05). A risk model was developed, and external validation revealed the strong robustness our risk model possessed in diagnosis and prognosis as well as the association with the cancer feature of drug sensitivity.ConclusionsThe identified metabolism-associated subtypes reflected the pathogenesis, essential features, and heterogeneity of PCa tumors. Our metabolism-associated risk model may provide clinicians with predictive values for diagnosis, prognosis, and treatment guidance in patients with PCa.
Do Suicide Attempts of Mood Disorder Patients Directly Increase the Risk for a Reattempt?
Authors: Aaltonen Kari I. , Rosenström Tom , Jylhä Pekka , Holma Irina , Holma Mikael , Pallaskorpi Sanna , Riihimäki Kirsi , Suominen Kirsi , Vuorilehto Maria , Isometsä Erkki T. 
Published: November 2020

Background: Preceding suicide attempts strongly predict future suicidal acts. However, whether attempting suicide per se increases the risk remains undetermined. We longitudinally investigated among patients with mood disorders whether after a suicide attempt future attempts occur during milder depressive states, indicating a possible lowered threshold for acting.Methods: We used 5-year follow-up data from 581 patients of the Jorvi Bipolar Study, Vantaa Depression Study, and Vantaa Primary Care Depression Study cohorts. Lifetime suicide attempts were investigated at baseline and during the follow-up. At follow-up interviews, life-chart data on the course of the mood disorder were generated and suicide attempts timed. By using individual-level data and multilevel modeling, we investigated at each incident attempt the association between the lifetime ordinal number of the attempt and the major depressive episode (MDE) status (full MDE, partial remission, or remission).Results: A total of 197 suicide attempts occurred among 90 patients, most during MDEs. When the dependencies between observations and individual liabilities were modeled, no association was found between the number of past suicide attempts at the time of each attempt and partial remissions. No association between adjusted inter-suicide attempt times and the number of past attempts emerged during follow-up. No indication for direct risk-increasing effects was found.Conclusion: Among mood disorder patients, repeated suicide attempts do not tend to occur during milder depressive states than in the preceding attempts. Previous suicide attempts may indicate underlying diathesis, future risk being principally set by the course of the disorder itself.
Assessing the Value of a Novel Augmented Reality Application for Presurgical Planning in Adolescent Elbow Fractures
Authors: Laguna Benjamin , Livingston Kristin , Brar Ravinder , Jagodzinski Jason , Pandya Nirav , Sabatini Coleen , Courtier Jesse 
Published: November 2020

Objectives: We retrospectively assess the potential impact of a novel, investigational Augmented Reality (AR) software application, Radiology with Holographic Augmentation (RadHA), on pediatric orthopedic surgeon's confidence in surgical planning, hardware selection, hardware fit, and estimated potential intraoperative time savings in the setting of complex adolescent elbow fractures.Methods: After study selection, 12 individual cases of complex elbow fractures in adolescent pediatric patients were identified for review. AR models were generated for each case derived from the patient's CT. Five fellowship-trained pediatric orthopedic surgeons reviewed each case for a total of 60 separate observations. Surgeons reviewed clinical data, radiologic imaging, and AR models and then answered Likert Scale questions on measures of confidence in presurgical planning and projected potential time savings. These data were reviewed and analyzed using various statistical tools.Results: Surgeons reported high confidence in the quality of the AR models created. Additionally, surgeons reported increased confidence in their surgical plan, increased confidence in hardware selection, and increased confidence in hardware fit. Within the sub-analysis of complex (comminuted) fractures, surgeons reported greater expected increases in confidence of their surgical plan and hardware fit. Overall, surgeons estimated potential intraoperative time savings, averaging 17.3 min for all fracture types and 17.6 min for complex fractures.Conclusions: Preoperative planning using AR-based models can increase surgeon confidence in preoperative planning, hardware selection, and confidence in hardware fit.
Comparative Assessment of Poverty Indicators in the European Part of the CIS and the European Union as a Social Criterion of Economic Security
Authors: Tsvetkov V. A. , Zoidov K. Kh. , Yankauskas K. S. , Kobil Sh. 
Published: November 2020

The presented study comparatively analyzes indicators of the level of poverty and social inequality in Belarus, Ukraine, Moldova, and the European Union (EU) as a criterion of national economic security.Aim. The study aims to examine existing approaches to determining the level of poverty and its dynamics and to consider suggestions for improving this methodology.Tasks. The authors examine and comparatively analyze approaches and methods for determining the level of poverty and its dynamics in the European Union and the CIS countries that are not members of the Eurasian Economic Union (EAEU).Methods. This study uses the methods of systems analysis, evolutionary-institutional theory, and historical approach.Results. Determining the level of poverty based on the number of citizens with incomes below the subsistence level can lead to misrepresentation of the actual state of this phenomenon. Calculation of poverty indicators based on consumer spending provides more accurate data on the level of poverty in a country where a significant share of the population’s income is generated by remittances from individuals living abroad, which are not reflected in official income statistics. A comparative analysis of poverty dynamics shows that in 2013 the level of poverty in all four examined countries decreased compared to 2006. Poverty dynamics in Russia and Belarus is more synchronized than in Ukraine and Moldova. A common methodology for calculating the level of poverty in all EU countries makes it possible to conduct a more thorough comparative analysis of poverty dynamics and to formulate more accurate recommendations in the field of anti-poverty policies. Based on the identified poverty dynamics in the EU and Russia, it is highly possible that strategic objectives on poverty reduction in the European Union and Russia will not be completed.Conclusions. To exclude the possibility of interested authorities influencing the dynamics of the poverty indicator by changing its threshold values depending on the current economic or political situation, it is necessary to switch to comprehensive assessment of this indicator in Russia. For comparative cross-country data analysis, it is advisable to consider the possibility of creating a Eurasian Statistics Service within the EAEU that would collect statistics and standardize statistical methods among the EAEU member states.
Acidosis tubular renal asociada a intoxicación por trimetoprim-sulfametoxazol
Authors: Perdomo Quintero Daniela , Gomez Barrios Camilo Ernesto , Zamora Suarez Adriana , Cifuentes Gonzalez Juan Camilo 
Published: November 2020

La combinación de trimetoprim-sulfametoxazol (TMP-SMZ o cotrimoxazol) tiene efecto bactericida sobre cocos gram positivos y bacilos gram negativos, con uso clínico en infecciones de piel y tejidos blandos, del tracto respiratorio y urinario, además con relevancia en la profilaxis y tratamiento de infecciones oportunistas en pacientes inmunosupresos.
Su uso en pacientes inmunocompetentes a dosis establecidas es seguro, con una baja tasa de eventos adversos. Sin embargo, en población con inmunosupresión: virus de inmunodeficiencia humana (VIH), trasplante, o usuarios de esteroides; los efectos adversos (EA) por este medicamento alcanzan 83% y por administración parenteral en dosis elevadas se ha documentado acidosis láctica secundaria al vehículo polietilenglicol.
Presentamos dos casos de pacientes que ingirieron TMP-SMZ en sobredosis, desarrollando acidosis tubular renal (ATR) tipo 2, la cual no se ha descrito en este medicamento y cuya hiperlactatemia no es explicable por el excipiente polietilenglicol debido a que el consumo fue oral
Bruce Lee’s Case: Intellectual Property vs. Free Access to Culture and Protection of Public Interest
Authors: Łągiewska Magdalena , Zeidler Kamil 
Published: November 2020

This article provides a comprehensive analysis of Bruce Lee’s case by presenting the intellectual property rights mechanisms in the People’s Republic of China. The aim of this paper is to bring attention to the trademark law as well as to shed new light on infringements of personality rights, in particular portrait rights, in trademarks. This begs the question as to what kind of legal action should be undertaken by Bruce Lee’s heiress to protect her rights. Moreover, the article touches upon the conflict between the public interest and trademarks and tries to answer the question how to balance private holders’ rights with the public interest. In order to provide some hypothetical scenarios, the study focuses primarily on Bruce Lee’s case background and the new amendments to trademark law in China, bringing the authors to final deliberations on Bruce Lee as part of modern culture belonging to mankind as a whole. Therefore, our research aims to find a solution to the challenging problem of reconciling intellectual property rights protection mechanisms with the common cultural heritage.
Two-epoch Orbit Estimation for Wide Binaries Resolved in Hipparcos and Gaia
Authors: Makarov Valeri V. 
Published: November 2020

Abstract
The Hipparcos catalog and its Double and Multiple System Annex (DMSA) lists 4099 components with individual proper motions and coordinates on the epoch 1991.25. Many of these long-period binary stars are also present in Gaia Data Release 2 (DR2). Using the available relative positions and proper motions separated by 24.25 yr, the equations of relative orbital motion can be solved for the two epoch eccentric anomalies, orbital period, and eccentricity. This method employs elimination of the linear Thiele–Innes unknowns and nonlinear optimization of the remaining condition equations. The quality of these solutions is compromised by the insufficient condition and modest precision of the Hipparcos astrometric data, as revealed by Monte Carlo simulations with artificially perturbed data points. The presence of multiple systems and optical pairs can also perturb the results. Limited experiments with artificial data indicate that useful estimates can be obtained with a 25 yr epoch difference for wide binaries with orbital periods up to ∼500 yr. The prospects of this method dramatically improve with the proposed next-generation space astrometry missions such as Gaia-NIR and Theia, especially when additional conditions are included from astrometric or spectroscopic measurements. An ancillary catalog of cross-identification and astrometric information for 1295 double-star pairs cross-matched in Gaia DR2 and Hipparcos is also published.