bluuebunny/crossref_metadata_2025_split huggingface dataset:
Potential of game «PLANT TISSUE CULTURE» in bioengineering education as distance laboratory classes
Authors: Balci Mehmet Ali , Akgüller Ömer , Kaya Ergun , Rzhevska Nataliia , Dobroskok Irina , Basiuk Liubov , Kosa Tetiana 
Published: August 2020

AbstractThis study evaluates the effectiveness of the developed game as a form of distance laboratory works at the Universities of Turkey and Ukraine. Studying the effectiveness of laboratory research concerning engineering education, biotechnology can be significantly improved through the use of games. The purpose of the application is to develop laboratory work in the form of a computer game using the Unity platform management. The study was attended by students of the Molecular Biology and Genetic Departments in Turkey and Professional Education in Ukraine, and 376 students took part in the experiment (total of 203 Turkish and 173 Ukrainian students). The analysis of variance test was used to evaluate the opinions of 347 students, taking into account the aspect of nationality and gender distribution. The results of the data analysis showed that students' appreciation of the proposed gamified laboratory work is high regardless of their nationality, although females were more encouraged by the proposed development. Therefore, the study showed the possibility to further use laboratory classes in the gaming environment, create online gamified laboratory classes with the possibility of virtual exchange with students from different countries. The proposed questionnaire for student interventions can be used to evaluate the effectiveness of experimental models, thereby increasing the model's efficiency and training quality.
Improving learner engagement in MOOCs using a learning intervention system: A research study in engineering education
Authors: Cobos Ruth , Ruiz‐Garcia Juan Carlos 
Published: August 2020

AbstractThe development of web applications is an essential and critical skill for Computer Science Engineers. Nowadays, this is a core subject in the Computer Science Engineering Studies and an increasingly demanded subject in other Engineering Studies. With the aim to facilitate introductory know‐how in this area, the University Autónoma of Madrid offers at edX Platform the Massive Open Online Course (MOOC): “Introduction to Development of Web Applications”. Several studies have emphasised the positive impact of methods, such as the use of continuous feedback, to improve and promote learning persistence and engagement in online courses. We propose a system for periodically providing MOOC learners information about their progress and suggestions about how can they can improve their learner performance based on their achievements and interactions in MOOCs. This system is called Learning Intervention System for edX MOOCs (edX‐LIS). To test the intervention strategy on learners' behaviour supported by edX‐LIS, a research study was conducted with the learners of the mentioned MOOC. The results obtained from this study have demonstrated that the intervention strategy supported by the edX‐LIS has a positive impact on the motivation, persistence and engagement of the learners in the MOOC.
Doubly Boron‐Doped TADF Emitters Decorated with ortho‐Donor Groups for Highly Efficient Green to Red OLEDs
Authors: Kumar Ajay , Shin Han Young , Lee Taehwan , Jung Jaehoon , Jung Byung Jun , Lee Min Hyung 
Published: August 2020

AbstractDoubly boron‐doped thermally activated delayed fluorescence (TADF) emitters based on a 9,10‐diboraanthracene (DBA) acceptor decorated with ortho‐donor groups (Cz2oDBA, 2; BuCz2oDBA, 3; DMAC2oDBA, 4) are prepared to realize high‐efficiency green‐to‐red organic light‐emitting diodes (OLEDs). X‐ray diffraction analyses of 2 and 4 reveal the symmetrical and highly twisted ortho‐donor–acceptor–donor (D‐A‐D) structure of the emitters. The twisted conformation leads to a very small energy splitting (ΔEST <0.08 eV) between the excited singlet and triplet states that gives rise to strong TADF, as supported by theoretical studies. Depending on the strength of the donor moieties, the emission color is fine‐tuned in the visible region from green (2) to yellow (3) to red (4). Carbazole‐containing 2 and 3 exhibit high photoluminescence quantum yields (PLQYs) approaching 100 %, whereas DMAC‐substituted 4 is moderately emissive (PLQY=44 %) in a doped host film. Highly efficient green‐to‐red TADF‐OLEDs are realized with the proposed ortho‐D‐A‐D compounds as emitters. The green and yellow OLEDs incorporating Cz2oDBA (2) and BuCz2oDBA (3) emitters exhibit high external quantum efficiencies (EQEs) of 26.6 % and 21.6 %, respectively. In particular, the green device shows an excellent power efficiency above 100 lm W−1. A red OLED fabricated with a DMAC2oDBA (4) emitter exhibits a maximum EQE of 10.1 % with an electroluminescence peak at 615 nm.
Polyphenolic compounds with biological activity in guabiroba fruits (Campomanesia xanthocarpaBerg.) by comprehensive two‐dimensional liquid chromatography
Authors: Grutzmann Arcari Stefany , Arena Katia , Kolling Jeferson , Rocha Paloma , Dugo Paola , Mondello Luigi , Cacciola Francesco 
Published: August 2020

AbstractThis study aimed to evaluate the polyphenolic composition along with the biological activity of guabiroba (Campomanesia xanthocarpaBerg.) fruits using comprehensive two‐dimensional liquid chromatography (LC × LC). A simplex centroid design comprising three solvents (methanol, 2% acetic acid, and acetonitrile) was used to optimize the extraction mixture for polyphenols from ripe and unripe guabiroba fruits. A quantitative LC × LC platform was proposed to characterize the guabiroba extracts using a RP‐Amide column and a C18 column in the first and second dimensions, respectively. Antidiabetic properties, usingin vitroenzyme assay models andin vivoantioxidant activity with the eukaryote modelSaccharomyces cerevisiae, was measured. Total phenolics compounds were more efficiently extracted with 2% acetic acid solution and acetonitrile (50:50, v/v). A total of 37 different compounds were identified and quantified using the proposed LC × LC method (linearity ranging from 0.9990 to 0.9994, intra‐ and interday precision from 0.40 to 10.57% and, accuracy from 81.89 to 108.98%). Significant differences were observed between ripe and unripe guabiroba fruits, especially for the compounds geraldone and methyl galangin isomer. Guabiroba fruits showed significant antidiabetic and antioxidant properties and may be potentially adopted as part of dietary strategies in the management of early stages of type 2 diabetes and associated complications.
A framework for pathway knowledge driven prioritization in genome‐wide association studies
Authors: Biswas Shrayashi , Pal Soumen , Majumder Partha P. , Bhattacharjee Samsiddhi 
Published: August 2020

AbstractMany variants with low frequencies or with low to modest effects likely remain unidentified in genome‐wide association studies (GWAS) because of stringent genome‐wide thresholds for detection. To improve the power of detection, variant prioritization based on their functional annotations and epigenetic landmarks has been used successfully. Here, we propose a novel method of prioritization of a GWAS by exploiting gene‐level knowledge (e.g., annotations to pathways and ontologies) and show that it further improves power. Often, disease associated variants are found near genes that are coinvolved in specific biological pathways relevant to disease process. Utilization of this knowledge to conduct a prioritized scan increases the power to detect loci that map to genes clustered in a few specific pathways. We have developed a computationally scalable framework based on penalized logistic regression (termed GKnowMTest—Genomic Knowledge‐guided Multiplte Testing) to enable a prioritized pathway‐guided GWAS scan with a very large number of gene‐level annotations. We demonstrate that the proposed strategy improves overall power and maintains the Type 1 error globally. Our method works on genome‐wide summary level data and a user‐specified list of pathways (e.g., those extracted from large pathway databases without reference to biology of a specific disease). It automatically reweights the input p values by incorporating the pathway enrichments as “adaptively learned” from the data using a cross‐validation technique to avoid overfitting. We used whole‐genome simulations and some publicly available GWAS data sets to illustrate the application of our method. The GKnowMTest framework has been implemented as a user‐friendly open‐source R package.
Incorporating multiple sets of eQTL weights into gene‐by‐environment interaction analysis identifies novel susceptibility loci for pancreatic cancer
Authors: Yang Tianzhong , Tang Hongwei , Risch Harvey A. , Olson Sarah H. , Peterson Gloria , Bracci Paige M. , Gallinger Steven , Hung Rayjean J. , Neale Rachel E. , Scelo Ghislaine , Duell Eric J. , Kurtz Robert C. , Khaw Kay‐Tee , Severi Gianluca , Sund Malin , Wareham Nick , Amos Christopher I. , Li Donghui , Wei Peng 
Published: August 2020

AbstractIt is of great scientific interest to identify interactions between genetic variants and environmental exposures that may modify the risk of complex diseases. However, larger sample sizes are usually required to detect gene‐by‐environment interaction (G × E) than required to detect genetic main association effects. To boost the statistical power and improve the understanding of the underlying molecular mechanisms, we incorporate functional genomics information, specifically, expression quantitative trait loci (eQTLs), into a data‐adaptive G × E test, called aGEw. This test adaptively chooses the best eQTL weights from multiple tissues and provides an extra layer of weighting at the genetic variant level. Extensive simulations show that the aGEw test can control the Type 1 error rate, and the power is resilient to the inclusion of neutral variants and noninformative external weights. We applied the proposed aGEw test to the Pancreatic Cancer Case–Control Consortium (discovery cohort of 3,585 cases and 3,482 controls) and the PanScan II genome‐wide association study data (replication cohort of 2,021 cases and 2,105 controls) with smoking as the exposure of interest. Two novel putative smoking‐related pancreatic cancer susceptibility genes, TRIP10 and KDM3A, were identified. The aGEw test is implemented in an R package aGE.
Why are credit booms sometimes sweet and sometimes sour?
Authors: Castro Vítor , Martins Rodrigo 
Published: August 2020

AbstractThis paper investigates the commonalities and differences between benign credit booms and those that end up in banking crises by employing a Multinomial and a Sequential Logit model over a panel of industrial and developing countries. Some economic, political and institutional factors are found to play an important role in understanding the credit booms dynamics. In particular, this study shows that the quantity and price of credit, liquidity in the economy, economic growth, openness of the economy, government orientation, political stability and Central Bank independence are relevant to explain not only the occurrence of credit booms but also – and most importantly – whether they end up in a systemic banking crisis or not. While a better economic environment and Central Bank independence are essential for both industrial and developing countries to avoid credit booms from going badly, political factors seem to exert a stronger influence in developing countries.
Predicting GDP growth with stock and bond markets: Do they contain different information?
Authors: McMillan David G. 
Published: August 2020

AbstractThis paper examines the ability of bond and stock markets to predict subsequent GDP growth over a range of horizons for 12 international countries. The results, using linear, probit, time‐ and regime‐varying in‐sample regressions and out‐of‐sample forecasting, confirm the view that both financial markets exhibit predictive power for future output growth. Moreover, there is notable variation within the strength of the predictive relation, for example, predictive power increases during the financial crisis period. Results suggest that while the term structure arguably exhibits stronger predictive power, both series contain distinct predictive information. Notably, predictive power emanating from the stock return series appears stronger over shorter (up to four‐quarter) time horizons, while the term structure series exhibits more consistent predictive power over a range of horizons. Considering different regimes, we observe that the bond market exhibits greater predictive power for a flatter yield curve and lower stock prices relative to fundamentals, while the stock market exhibits greater predictive power for a steeper yield curve and higher relative stock prices. This suggests that the two financial markets exhibit different information content for future output growth. This view is further supported by forecast results whereby a model that includes both financial series outperforms a model that only includes one. Forecast encompassing tests further support the view that stock returns contain additional information over that presented by the term structure alone.
The effect of non‐performing loans on credit expansion: Do capital and profitability matter? Evidence from European banks
Authors: Thornton John , Di Tommaso Caterina 
Published: August 2020

AbstractWe examine whether the effect of NPLs on bank credit growth differs depending upon the level of bank capital and profitability in a panel of up to 521 banks from 28 European countries. Our main finding is that there is a significant positive interaction effect of NPLs and bank capital and NPLs and profitability on the supply of bank credit. Thus, whether NPLs impede the monetary policy transmission mechanism depends substantially on whether or not banks are sufficiently capitalized and profitable. Policy actions aimed at reducing NPLs to sustain bank credit should protect bank capital and profitability if they are to be effective, including by supporting efforts that aim at returning NPLs to good standing.
It takes two to tango: Fundamental timing in stock market
Authors: Tang Guohao , Jiang Fuwei , Qi Xinlin , Huang Nan 
Published: August 2020

AbstractIn this paper, we propose a fundamental timing strategy in both U.S. and Chinese stock markets to timing the fundamentals sorted portfolios such as value and profitability portfolios in the time‐series dimension. We find that fundamental timing strategies based on moving average (MA) timing signals could generate substantial performance gains relative to buy‐and‐hold strategies. The annualized average return of fundamental timing strategies reaches about 37% with Sharpe ratio nearly 1.30. These findings are robust to Fama–French factor model adjustment, alternative lag lengths of MA signals, holding days, and transaction costs. Moreover, the fundamental timing premium cannot be explained away by market timing or business cycle, and fundamental timing is more profitable among firms with high idiosyncratic volatility and high illiquidity.
Political environment and financial crises
Authors: Nguyen Thanh C. , Castro Vítor , Wood Justine 
Published: August 2020

AbstractThis paper assesses the role of the political environment in the timing of financial crises over a sample of 85 countries during the period 1975–2017. We consider systemic banking, currency and sovereign debt crises in addition to twin and triple crises. Using a fixed‐effects logit model, this study shows that banking and currency crises are more likely to occur within 1 year after elections. There is also evidence that the probability of currency crises increases when right‐wing parties are in office. Moreover, time in office of incumbent chief executives reduces the likelihood of any type of financial crises. The incidence of twin and triple crises is lower when majority governments are in office. This study contributes to the literature by calling attention to the importance of some political factors for different types of financial crises.
Multifunctional barium titanate ceramics via chemical modification tuning phase structure
Authors: Zhao Chunlin , Huang Yanli , Wu Jiagang 
Published: August 2020

AbstractGlobal environmental concerns on the toxicity of lead‐based piezoelectrics impel the great mass fervor on investigations of lead‐free alternatives. Barium titanate (BaTiO3, BT) ceramics, the first discovered perovskite ferroelectrics, were widely employed to fabricate dielectric capacitors from 1950s. Since a piezoelectric breakthrough was achieved via chemical modification, intensive researches have been performed embracing lead‐free BT‐based piezoelectrics and their extensional functionalities. In this review, we encompass the state‐of‐the‐art progress on chemical modification tuning phase structure toward advanced electrical properties in BT‐based ceramics. Generally, modulated regularity of cations substitution on phase transition is summarized and clarified. Then, we highlight the common methodologies of phase structure (phase boundary, relaxor phase, room‐temperature phase transition, etc.) design for optimizing piezoelectricity, electrostrictive strain, electrocaloric, dielectric energy storage or permittivity performances, and cover the noticeable developments and relevant physical mechanisms. Finally, perspectives and challenges on future research issues are featured. This review proposes to exert the significant guidance and service for material design of BT‐based and other lead‐free perovskite materials with superior functionalities.image
Is elevated microsatellite alterations at selected tetranucleotide repeats (EMAST)‐negative/MSI‐high colorectal cancer a distinct subtype of the disease?
Authors: Park Yeshong , Kim Duck‐Woo , Hong Yun Ji , Park Kyoung Un , Nam Soo Kyung , Na Hee Young , Lee Hye Seung , Kim Min Hyun , Oh Heung‐Kwon , Kang Sung‐Bum 
Published: August 2020

AbstractBackground and ObjectivesMicrosatellite instability (MSI) plays a prognostic and predictive role in colorectal cancer (CRC). Elevated microsatellite alterations at selected tetranucleotide repeats (EMAST), a novel type of MSI, was recently identified.MethodsA retrospective analysis of a prospective cohort database was performed. Patients who attempted curative surgery for MSI‐high (MSI‐H) CRC and had available testing results of EMAST were included for analysis. The difference in clinical characteristics, immunohistochemistry profile, and 3‐year recurrence‐free and overall survival between EMAST‐negative and EMAST‐positive tumors was measured.ResultsEMAST status was successfully evaluated in 86 cases among patients who received EMAST testing, and only 16.3% (14/86) of these patients were EMAST‐negative/MSI‐H. Patients with EMAST‐negative tumors were younger; their tumors exhibited well differentiation, less venous invasion, and greater mutS homolog 3 expression. There was no distant metastasis or cancer‐specific death among EMAST‐negative patients. Yet no statistically significant difference was found between the two groups in 3‐year overall or recurrence‐free survival.ConclusionsPatients with EMAST‐negative/MSI‐H CRC seem to have different clinicopathological characteristics. Future large‐scale studies could clarify the role of EMAST genotype as a sub‐classifier of MSI‐H CRC.
Vegan tours in China: Motivation and benefits
Authors: Li Shanshi , Liu Xiao‐xiao , Cai Songyin , Scott Noel 
Published: August 2020

AbstractThis study examines a phenomenon that has recently emerged in China—vegan tours. An exploratory case study was conducted to examine the features of a vegan tour (VT) to Wuyi Mountain, explore tourist's motivations for joining, and their benefits from such a tour. Motivations include personal vegan food preferences, changing family members' attitudes toward vegan food, and visiting local attractions. The vegan packaged tour includes vegan meals and activities emphasizing self‐reflection and eudemonic benefits, such as personal growth and mindfulness. This study provides an in‐depth understanding of VT and has implications for developing meaningful food tourism experiences.
Therapeutic potential of phenylethanoid glycosides: A systematic review
Authors: Wu Lipeng , Georgiev Milen I. , Cao Hui , Nahar Lutfun , El‐Seedi Hesham R. , Sarker Satyajit D. , Xiao Jianbo , Lu Baiyi 
Published: August 2020

AbstractPhenylethanoid glycosides (PhGs) are generally water‐soluble phenolic compounds that occur in many medicinal plants. Until June 2020, more than 572 PhGs have been isolated and identified. PhGs possess antibacterial, anticancer, antidiabetic, anti‐inflammatory, antiobesity, antioxidant, antiviral, and neuroprotective properties. Despite these promising benefits, PhGs have failed to fulfill their therapeutic applications due to their poor bioavailability. The attempts to understand their metabolic pathways to improve their bioavailability are investigated. In this review article, we will first summarize the number of PhGs compounds which is not accurate in the literature. The latest information on the biological activities, structure–activity relationships, mechanisms, and especially the clinical applications of PhGs will be reviewed. The bioavailability of PhGs will be summarized and factors leading to the low bioavailability will be analyzed. Recent advances in methods such as bioenhancers and nanotechnology to improve the bioavailability of PhGs are also summarized. The existing scientific gaps of PhGs in knowledge are also discussed, highlighting research directions in the future.
Hydrogen donors to replace aromatic amine based photoinitiating systems
Authors: Sprick Elodie , Becht Jean‐Michel , Tigges Thomas , Neuhaus Kira , Weber Christoph , Lalevée Jacques 
Published: August 2020

AbstractBased on our previous work, we propose here four new hydrogen donors to replace aromatic amines currently used in the camphorquinone/amine photoinitiating system. These new proposed coinitiators are used in three component initiating systems for the polymerization of methacrylates under blue light irradiation (LED@477 nm). These compounds act both as coinitiators and copolymerizable monomers. Therefore, they are much less subject to migration. Bleaching properties are also studied, and good results are obtained after polymerization.
Incorporating research into the undergraduate wildlife management curriculum
Authors: Ortiz Janel L. , Conkey April A. Torres , Brennan Leonard A. , Fedynich LaVonne , Green Marybeth 
Published: August 2020

AbstractWe incorporated a course‐based undergraduate research experience (CURE) into a Wildlife Management Techniques course to improve student skills and confidence in bird identification and research, study design, and scientific writing. The course objective was to provide hands‐on experiences for students and give them exposure to field methods used in wildlife science. We added a bird observation study to the existing course curriculum where students formulated a research question, designed a 4‐week study to address the question, and wrote a report in scientific journal style. Students (n = 38) were given a pre‐survey and a post‐survey with Likert statements and a quiz on bird identification. We expected that students would improve in their perceived confidence in science practices, knowledge of bird species, and interest in bird ecology. We observed improved perceived confidence in the science practice of data organization. Students improved their ability to identify bird species by an average of 18%. However, students had no change in bird ecology interest prior to and after the study. Eighty‐nine and 97% of students agreed that the course helped them improve their bird identification and research skills, respectively. Adding this research experience allowed students to expand their skills, exposed them to research concepts, and provided a collaborative working environment that can make them more marketable for future employment or graduate school opportunities.