Miracle-dz/UniFAR-FTUs huggingface dataset:
The Landscape of Regulatory Noncoding RNAs in Ewing’s Sarcoma

Ewing’s sarcoma (ES) is a pediatric sarcoma caused by a chromosomal translocation. Unlike in most cancers, the genomes of ES patients are very stable. The translocation product of the EWS-FLI1 fusion is most often the predominant genetic driver of oncogenesis, and it is pertinent to explore the role of epigenetic alterations in the onset and progression of ES. Several types of noncoding RNAs, primarily microRNAs and long noncoding RNAs, are key epigenetic regulators that have been shown to play critical roles in various cancers. The functions of these epigenetic regulators are just beginning to be appreciated in ES. Here, we performed a comprehensive literature review to identify these noncoding RNAs. We identified clinically relevant tumor suppressor microRNAs, tumor promoter microRNAs and long noncoding RNAs. We then explored the known interplay between different classes of noncoding RNAs and described the currently unmet need for expanding the noncoding RNA repertoire of ES. We concluded the review with a discussion of epigenetic regulation of ES via regulatory noncoding RNAs. These noncoding RNAs provide new avenues of exploration to develop better therapeutics and identify novel biomarkers.
Implication of Microfinance Debt Burden for Household Welfare: Lessons from Ghana

This paper draws on the quantitative and qualitative evidence from a dataset generated from a survey of 499 households in Ghana to explore the implication of household debt burden from access to microfinance for household financial distress and overall welfare. The findings suggest that while access to microfinance is generally good for the household, being highly indebted compromises household welfare through a reduction in expenditures, in particular food expenditures, while increasing the probability of credit constraint. The evidence suggests that debt service above 30 percent of total household expenditures creates financial distress and the observed distress is stronger for female-headed households relative to male-headed households. The analysis further shows that, a household’s level of indebtedness is influenced by the type of microfinance, the interest rate, when the household is below the poverty line, and when the household holds more loans. The share of the loan allocated to investment and when the loan user is female, however, have a negative effect on the probability of a household being highly indebted. Contrary to expectations, neither financial literacy programs offered by microfinance institutions nor the education of the household head had any significant effect on a household’s level of indebtedness.
Word embeddings and transformer models for optimal learning CS433 - Machine Learning

—The recent pandemic has encouraged teachers and student to develop new tools to facilitate learning. Showcased at The Startup Champions Seed Night of 2020, Magma Learning proposes different tools to personally assist the user in the learning procedure. One of them is the vector embedding of topics and their visualisation in a colored 3 dimensional space.
BFJ-09-2020-0845_proof 124..141

Purpose – The purpose of this paper is to explore the associations between food literacy, consumer profiling and purchasing behaviour in a sample of Italian consumers. Design/methodology/approach – Participants (N 5 194) completed an online survey including personal data, two questionnaires on purchase behaviour and food consumption, the General Trust Scale (GTS), a questionnaire assessing individual chronotype and two scales about food literacy: one investigating nutritional knowledge (short food literacy questionnaire, SFLQ) and the other focussing on procedural skills (selfperceived food literacy scale, SPFL). Associations between food literacy, consumer profiling and purchase behaviour were analysed with linear regression models. Findings – Participants with specific education in nutrition reported higher scores in food literacy. The final score of food literacy was predicted by a greater attention to nutritional content and nutritional properties of products. Women paid more attention to nutritional properties than men, and they obtained higher scores in SFLQ. Evening types obtained lower scores in SFPL compared to intermediate andmorning chronotypes. Body mass index (BMI) was negatively correlated to SPFL score, while it was associated with the easy availability of a product, so that obese (BMI ≥ 30) subjects considered the easy availability of a product more important compared to non-obese ones (BMI < 30). Originality/value – This study investigates the influence of personal and psychometric variables of consumer profiling on food literacy and consequently on purchase behaviour, paving theway for implementing healthier food consumption policies. These findings reinforce the primacy of specific education in building healthy eating habits.
Tracking the Pandemic in Real Time: Administrative Micro Data in Business Cycles Enters the Spotlight

L ooking back, we now know that the US unemployment rate at the start of the COVID-19 pandemic rose from 3.2 percent in February 2020 to 4.1 percent in March and 13.1 percent in April. However, the April unemployment rate was not reported by the Bureau of Labor Statistics until early May. Preliminary data on April retail sales was not released by the Census Bureau until mid-May, and the first release of gross domestic product data by the Department of Commerce covering April did not occur until the end of July. Thus, a number of economists turned to private-sector micro data to try to understand the recession while it was still unfolding: for example, data on employment patterns from the payroll processing firm ADP and the scheduling firm Homebase, data on bank accounts and credit card payments from sources like the JPMorgan Chase Institute and firms that provide financial planning services like mint.com and SaverLife, and even data on locations of cell phone users from firms like PlaceIQ and SafeGraph. The use of administrative micro data from these and other sources allowed pandemic-related research to be produced in nearly real-time and the scope for analysis of individual behavior, which would be impossible using traditional aggregate data. In this essay, I loosely define administrative data as that arising as a by-product of some non-research activity, which contrasts with traditional data sources that are primarily collected for research purposes, like the Panel Survey of Income Dynamics, the American Community Survey, or the Consumer Expenditure Survey. The applications I discuss in this paper use administrative data collected by Tracking the Pandemic in Real Time: Administrative Micro Data in Business Cycles Enters the Spotlight
Choosing To Thrive: Finding Self And Fulfillment Through My Organizational Dynamics Learning Journey

As I sought a better life for myself, making me first in my family in many ways, I struggled to navigate the uncharted territories of college and the workplace far away from home. I was racked with guilt, shame, and fear about the what-ifs, which held me back from living a more authentic life. Various frameworks from the Organizational Dynamics program and other influential experiences have given me the tools to reposition my thinking more purposefully, and to create a vision for living and to uncover my potential as an instrument of change. I describe the powerful moments that propelled me into wanting to thrive and not just survive. I also share my exploration in learning and identifying with the impostor phenomenon experience. Comments Submitted to the Program of Organizational Dynamics, College of Liberal and Professional Studies in the School of Arts and Sciences in Partial Fulfillment of the Requirements for the Degree of Master of Science in Organizational Dynamics at the University of Pennsylvania Advisor: Charline S. Russo, Ed.D. This thesis or dissertation is available at ScholarlyCommons: https://repository.upenn. edu/od_theses_msod/110 CHOOSING TO THRIVE: FINDING SELF AND FULFILLMENT THROUGH MY ORGANIZATIONAL DYNAMICS LEARNING JOURNEY
Optimization of the progress variable definition using a genetic algorithm for the combustion of complex fuels

In this work counterflow diffusion flamelets of n-heptane and air are used at stable and unsteady extinguishing conditions for building a thermo-chemical database for Computational Fluid Dynamics (CFD) calculations. The injectivity of the progress variable definition is achieved through an optimization process using a genetic algorithm in combination with an adequate objective function.
AMP-activated Protein Kinase Activation Suppresses Protein Synthesis and mTORC1 Signaling in Chick Myotube Cultures

Protein synthesis in skeletal muscle is considered one of the most energy-consuming cellular processes. AMP-activated protein kinase (AMPK) is a metabolic master switch that regulates glucose and lipid metabolism, and it is implicated in protein synthesis control in skeletal muscles. The mechanistic target of rapamycin complex 1 (mTORC1) is a central regulator of protein metabolism in cells. However, the effect of AMPK activation on protein synthesis and mTORC1 signaling in chicken skeletal muscle remains unclear. Therefore, in this study, we aimed to investigate the effect of 5-aminoimidazole-4-carboxamide-1-β-D-ribofuranoside (AICAR), an AMPK activator, on protein synthesis and mTORC1 signaling in chick myotube cultures. The incubation of chick myotubes with AICAR (1 mM) for 3 h led to a significant increase in AMPK (Thr172) phosphorylation. Nonetheless, protein synthesis, measured using the surface sensing of translation method, was significantly decreased by AICAR. In addition, the phosphorylation of p70 ribosomal S6 kinase 1 (S6K1, Thr389), S6 ribosomal protein (Ser240/244), and eukaryotic translation initiation factor 4E-binding protein 1 (4E-BP1, Thr37/46) was significantly reduced by AICAR. These results suggest that AMPK activation suppresses protein synthesis and mTORC1 signaling (through the phosphorylation of S6K1, S6 ribosomal protein, and 4E-BP1) in chick myotubes.
Precision Rock Excavation: Beyond Controlled Blasting and Line Drilling

The strictness of the result of an excavation, whether mechanical or by means of explosives, is naturally conditioned by the objective, and therefore by the type of technique applied to achieve it. To attain the best results in terms of rock breakage and respect of the final profile, it’s important to evaluate the excavation specific energy and its optimization. This research focuses on evaluating the effects of different techniques on the quality of final walls in open-pit and underground operations. Different geometries and configurations can be applied to both quarrying and tunnelling blasts. The research is aimed to push contour blasts to their limits, and the main aspects are discussed in order to improve the blast parameters in the daily practice.
This Job is 'Getting Old': Measuring Changes in Job Opportunities Using Occupational Age Structure

In both the U.S. and the OECD, highand low-paying occupations expanded relative to middle-wage occupations during the 1990s and 2000s. We explore changes in the age structure of occupations as a means to analyze the reallocation of workers from middleskill occupations towards the tails of the distribution. We posit that occupations typically expand by hiring young workers and contract by curtailing such hiring. Growing occupations should therefore become on average younger while shrinking occupations should age. Data for the 1980 through 2005 period strongly support this contention. The mean age of workers in ‘middle-skilled’ occupations rose significantly relative to either high or low-skilled occupations after 1980. We apply this empirical tool to local labor markets to test whether markets that were initially specialized in middle-skilled occupations in 1980 saw a movement of both older and younger workers into expanding–but potentially lower-skilled and lower-paying–jobs over the subsequent 25 years. We find that employment in these labor markets is increasingly clustered in the upper and lower tails of the occupational skill distribution. For non-college workers, losses at the middle are almost entirely countered by growth in lower-tail occupations. For college workers, occupational reallocation occurs towards both the upper and lower tail of the distribution. Upward reallocation is, however, far more pronounced among younger college workers, and is almost non-existent for the old. Consequently, older college workers are increasingly found in lower-skill, lower-paying occupations.
Binary Field Montgomery Multiplication on Quantum Computers

Optimizing arithmetic operations into quantum circuits to utilize quantum algorithms, such as the Shor algorithm and Grover search algorithm for cryptanalysis, is an active research ﬁeld in cryptography implementation. In particular, reducing quantum resources is important for eﬃcient implementation. In this paper, binary ﬁeld ( GF (2 n )) Mont-gomery multiplication in quantum circuits is presented. We utilize the bit-level Montgomery algorithm to eﬃciently compute the Montgomery product C = A · B · r − 1 in the binary ﬁeld GF (2 n ). Additionally, we also present an eﬃcient Montgomery multiplication quantum circuit in the case where the modulus of GF (2 n ) is speciﬁed.
Sustainable Tourism: A Tool to Promote Sustainable Local Development in Thailand

The objective of this study is to examine the role of sustainable tourism in sustainable local development in Thailand. For this purpose, the relationship between sustainable tourism, economic activity, cultural promotion, community welfare and sustainable local development was examined. Primary data were collected to examine the relationship between variables. A questionnaire survey was used for data collection. Data were collected from the people involved in various business activities related to the tourism in various local areas of Thailand. Data were analyzed by using Partial Least Square-Structural Equation Modeling (PLS-SEM). Results of the study shows that sustainable tourism has positive role to enhance sustainable local development. Sustainable tourism in local areas of Thailand has significant potential to increase economic activity, cultural promotion and community welfare. Furthermore, economic activity, cultural promotion and community welfare has positive influence on sustainable local development. Hence, sustainable tourism has vital influence to promote sustainable local development in Thailand.
The Dark Side of Leadership as a Predictor of Employees Unethical Behavior in the Context of Thailand

There are numerous factors that create unethical work behavior. These unethical work behaviors badly affect the organizations. Organization should make effort to recognize and mitigate the effect of factors that foster the sense of unethical work behavior among employees. For this reason, the purpose of the study is to measure the effect of moral justification and supervisor ostracism on unethical work behavior including the mediating effect of emotional exhaustion and facades of conformity. The sample size was 180 from the service sector of Thailand. For data collection random sampling technique was used. The questionnaire was measured on five-point Likert scale. The findings of the study showed that emotional exhaustion have significant effect on unethical work behavior. The effect of facades of conformity on unethical work behavior is significant. The effect of MJ on unethical work behavior is significant. The effect of supervisor ostracism on emotional exhaustion is significant. The effect of supervisor ostracism on facades of conformity is significant. The full mediating effect of emotional exhaustion between supervisor ostracism and unethical work behavior is significant. The full mediating effect of FOF between SO and unethical work behavior is significant. The current study suggested that in future a moderator such as taskrelated relations need to be examined in order to get the more significant results in the literature of leadership and employee’s behaviors.
Consumer Preference for Car Sharing and the Role of Car Plate Lottery Policy: A Stated Preference Experiment in Beijing

Car sharing is promoted as a prominent alternative to private cars, and is therefore seemed as a sustainable innovation for urban mobility. Many policy makers introduced various incentives to facilitate the development of car sharing services as a complement to other public policies to contain the growth of car ownership. In this paper, we use a stated preference experiment to study consumer preferences for car sharing in transport ecosystem, considering a wide range of mobility modes and accounting for a regulatory policy of car plate lottery that aims to limit car ownership in Beijing. Based on a nested logit model, we identify a hierarchical structure of mobility mode choice, where bus and underground fall in the same nest of “public transit”, while car-sharing, private car and taxi are independent alternatives. We find that, in addition to the mobility cost, service accessibility and mobility speed are key attributes for consumers to choose car sharing. More importantly, we find that consumers who are participating in the car plate lottery would be more likely to choose car sharing, which implies that car sharing and the car plate lottery policy are indeed complementary. However, the introduction of car sharing can also lead to an unintended consequence of higher total car usage by attracting more public transit users who did not intend to buy cars to drive cars. Therefore, our study provides new insights into not only the marketing and operation strategies of car sharing service, but also the role of public policies in shaping the consumer preferences for car sharing.
Is Corporate Governance Priced in the Option Market? Evidence from Shareholder Proposals

By exploiting the local randomness in close-call votes on governance-related shareholder proposals, this paper finds a negative effect of passing a governance proposal on firms’ ex-ante tail risk measured by the cost of option protection against downside tail risks, which suggests that corporate governance is priced in the option market. In a local regression discontinuity (RD) analysis, firms that narrowly pass the majority threshold show a lower ex-ante tail risk measured by implied volatility smirk and model-free implied skewness than those that narrowly fail. This effect is stronger for firms with weaker corporate governance and higher information transparency and is attenuated when firms perform better. Evidence from a global RD analysis confirms the external validity of results in the local RD analysis. Overall, this paper observes a causal impact of corporate governance on the option market and sheds new light on the cross-sectional determinants of option prices.
Reviewing the Global Smartphone Industry Strategic Implication in Response to COVID-19 Situation

The global smartphone brands were progressing aggressively over time. A sudden unexpected turbulent situation known as a global pandemic declared by the World Health Organization (WHO) about a century later in the history of human civilization stops this progress. It makes the industry bound to fall behind. This study aims to review and analyze the impact of the present pandemic situation due to Coronavirus Disease 2019 (COVID-19) on the global smartphone industry. It shows its competitive scenarios focusing on smartphone demand and supply. Thus, the study suggest a strategic approach to combat this situation. It is done by reviewing the latest literature published explicitly in 2020. The findings of this study reveal a significant negative impact of COVID-19 on global smartphone brands, primarily especially in the big markets of this industry, namely China, India, USA, Europe. Conversely, it can also positively impact the industry, especially in some developing countries. The positivity is seen due to the expanded demand for smartphones in some sectors like education, business, and entertainment media shifted online, triggering the user’s need to purchase a new smart device. Lastly, based on the understanding of the current scenario, some strategic approaches are discussed, and appropriate solutions are given for the industry to cope up with the pandemic crisis and, at the same time, how to attain success. The strategic directions given at the end can be applied to the industry’s sustainability and growth.
Fostering Knowledge Sharing Behavior in Educational Institutes of Thailand

There are number of factors that may affect the knowledge sharing behavior of employees at the workplace. Following this, the purpose of the study is to determine the effect of CSR and EL on KSB including the mediating effect of cognitive meaningfulness and positive affective tone. This study is based on the cross-sectional and quantitative design. Data collection was done through random sampling technique. The population was taken from the faculty members of higher education institutes situated in Thailand. Sample size was 300 faculty members. The findings of the study show that the role of EL and CSR is very important in facilitating the employee’s knowledge sharing behavior. Moreover, the culture of CSR enables the employees to crave for job meaningfulness at the workplace. Likewise, ethical leadership arouses positive emotion among the employees which eventually make their belief stronger on the leadership decisions. Thus, CSR by ensuring positive affective tone foster the knowledge sharing behavior of the Thai academic staff and on the other hand ethical leadership via strengthening the workers cognitive meaningfulness makes certain the sharing of knowledge and information among the employees the Thai higher educational institutes. This study was conducted on single industry -the education industry. Secondly, this study has covered only the educational institutes of Thailand.
A Investigation of the Chapel Parallelisation of the Singular Value Decomposition

This paper discusses the parallelisation (using the programming language Chapel) of one of the most often used algorithms for the Singular Value Decomposition of a matrix. The mathematical alterations and programming constructs used to achieve that parallelisation are examined at length. Performance and validation tests showing the increased parallel performance that occurs when run on a multi-core computer architecture are documented. Chapel’s serial performance is compared against that of Fortran that implements the original algorithm. Only parallelisation in a Symmetric Multi-Processor environment is explored.