Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a DNA marker tightly linked to low-alkaloid gene iucundus in narrow-leafed lupin (Lupinus angustifolius L.) for marker-assisted selection

Narrow-leafed lupin (Lupinus angustilolius L.) is a grain legume of exceptionally high nutritive value and much versatile food and animal feed around the world. The development of lupin as a modern crop was limited by its high concentration of alkaloids. Progress in breeding necessitates a better understanding of the genetics underlying the trait – low-alkaloid level (sweet). Marker-assisted selection would allow a better targeting of the desired genes. The microsatellite-anchored fragment length polymorphism (MFLP) fingerprinting technology was applied to an F8 recombination inbred line (RIL) population to identify and select candidate markers linked to the low-alkaloid gene iucundus. Four MFLP markers were identified as candidate markers based on their banding patterns in the F8 RIL population. One of these candidate markers showing the best correlation with phenotypes in the representative germplasm was selected and successfully converted into a simple PCR-based co-dominant marker, named IucLi. This established marker IucLi is 0.9 cM away from the sweet (low-alkaloid) gene iucundus. The accuracy between marker genotype and phenotype is 100% in the common 25 cultivars and 86.4% among the 125 accessions of narrow-leafed lupin core collection. Marker IucLi is being used in narrow-leafed lupin breeding for selection of ‘sweet’ individuals. The marker is also used to develop near-isogenic lines to further characterise and fine mapping the iucundus locus.
Financial Crisis and Slow Recovery with Bayesian Learning Agents

In a simple continuous-time model where the learning process affects the willingness to hold liquidity, we provide an intuitive explanation of business cycle asymmetry and post-crisis slow recovery. When observing a liquidity shock, individuals rationally increase their subjective probability of re-encountering it. It leads to an upward jump in liquidity preference and a discrete fall in consumption. Conversely, as a period without shocks continues, they gradually decrease the subjective probability, reduce liquidity preference, and increase consumption. The recovery process is particularly slow after many shocks are observed within a short period because people do not easily change their pessimistic view.
Savannas of northern South America: a steady state regulated by water-fire interactions on a background of low nutrient availability.

Savannas in northern South America (the seedlings depends on the length of PAM and is closely Orinoco Llanos) are found on a variety of highly leached related to the phenological pattern of the species. substrates, from tertiary sediments to alluvial soils, with The duration of PAM regulates specific and phenological markedly seasonal rainfall, 800-2500 mm/year. Physio- diversity of the grass layer. An extension of the dry season gnomic types range from tree-less grasslands to woodland may impair populations of early growers, whereas an early type communities--Dominant tree species are evergreen end of the rainy season affects negatively late species. and sclerophyllous being favoured by low soil fertility These effects are both direct, and are mediated by species and fire against deciduous, mesophyllous trees. Water competitive interactions. Longer PAM periods determine appears not to be a limiting factor for established trees higher probability for successful growth and reproduction since leaf flushing and flowering take place in the dry of annual species. season. Regular occurrence of fire determines low diversity of Tree/grass ratios increase with soil water availability the tree layer and may affect its productivity if it occurs during the dry season. Areas with high water table, or in after leaf flushing and the initiation of flowering. Fire also which a large fraction of the previous rainfall is accessible appears to maintain vigour of the herbaceous layer, its to tree roots, have higher tree densities than savannas with exclusion leading to deleterious changes. Fire frequency is soils of low water retention capacity and/or deep water also associated with length of PAM. The interplay of dry, tables. Tree recruitment is dependent on their capability to fire-prone years, and wet, fireless years probably deter- withstand grass-root competition during early growth mines short-term changes in the composition of the herba- stages, and to reach deeper soil layers to guarantee water ceous layer. Grass productivity is enhanced by fire during availability during dry periods. Therefore tree seedling the middle of the rainy season, when there is still some establishment appears associated with flush germination water left in the upper soil layers, and the rainy season during sequences of humid years. Duration of the season begins before water reserves are exhausted.
Immunoprecipitation and characterization of membrane protein complexes from yeast * S

In this undergraduate biochemistry laboratory experiment, the vacuolar ATPase protein complex is purified from yeast cell extracts by doing immunoprecipitations under nondenaturing conditions. Immunoprecipitations are performed using monoclonal antibodies to facilitate data interpretation, and subunits are separated on the basis of their molecular size by SDS‐PAGE. Both integral membrane and peripheral subunits are detected in Coomassie Blue‐stained gels, and the identity of several subunits are confirmed by Western blots. Western blots serve to illustrate reproducibility and authenticity of the results and help students understand that they could use immunoblotting to detect subunits that are not visualized by Coomassie stain. The molecular mass of the subunits is estimated by their migration relative to molecular marker proteins in the same gel and used to estimate the size of the entire complex. Just like in biochemistry research, students learn to integrate several techniques to solve the subunit composition of a protein complex. These experiments are an alternative to classical protein purification techniques and can be adapted to study most protein complexes composed of membrane‐bound and peripheral subunits from yeast. Instructors can use this approach to teaching proteomics and introduce students to systems biology. Because numerous yeast proteins are epitope tagged, instructors could use commercially available antibodies to study a protein complex of interest.
What Is the User Value of AI? A Taxonomy Based on AI Startups in France in 2019

AI is currently primarily defined by its functional characteristics. But companies that find use its user value could open up new market and change the rules of the games in existing ones. Finding the new meanings introduced in industry by radically new technologies is known as tech epiphanies. We propose that studying the user values proposed by startups today can help identify budding tech epiphanies, and inspire new ones as some user values emerging in some industries are adopted in new ones. We qualitatively assessed the customer value proposition of 137 startups across 22 industries in France in 2019 to propose a taxonomy of user values brought by AI. We found eight user values: Augmenting human capabilities, Ease &amp; Accessibility, Efficiency &amp; Productivity, Managing complex systems for safety and ecology, Personalization, Instantaneity, Unique experiences, and Personal development. The last three have been overlooked in the literature. Finally, we see three budding tech epiphanies. Healthcare is seeing a revolution in the patient-doctor relationship through a redefinition of expertise. Natural interfaces make AI seem human, opening the way for new relationships with machines. Finally, AI’s help in managing complex system could help us solve safety and ecology grand challenges
The Sectoral Effects of Value-Added Tax: Evidence from UAE Stock Markets

This paper investigates the impact of 19 announcements pertaining to the introduction of value-added tax (VAT) in the United Arab Emirates (UAE) on equities listed on the Abu Dhabi Stock Exchange (ADX). Using a well-established event study methodology over the period 2015 to 2018, a sector-wise assessment of the value constructiveness or destructiveness of these announcements is conducted. In addition, an estimation of sector-wise changes in systematic risk following these announcements is provided. Significant sectoral differences in abnormal returns are observed with industries such as insurance and retail showing higher sensitivity. Certain announcements are identified as exerting more impact than others. The results document the outcome of the implementation of VAT and provide guidance to other countries in the Gulf region that plan to introduce VAT.
Comparison Study and Operation Collapsing Issues for Serial Implementation of Square Matrix Multiplication Approach Suitable in High Performance Computing Environment

Multiplication between two square matrices is one of the fundamental computational approach in the domain of mathematics and computer science where it is fully recognized as a fore most technique for several interdisciplinary domain and sub domains like linear algebra, graph theory, multidimensional graphics, cryptographic computation, convolution neural network, deep learning, digital signal processing, medical image processing, steganography, relativity theory, quantum computing and many others. In a high-performance computing environment computational complexity analysis of matrix multiplication algorithm ensures a powerful paradox that takes a massive data processing approach to the world where problem solution feasibility comes down in respect of operation and time. In our paper we have analyze different methods to multiply two square matrices (like 2×2 matrices) and their arithmetic complexity analysis in a asymptotic flavor along with operation collapsing issues through serial processing technique. We have analytically and experimentally explained and shown using MATLAB 9.3 simulator that fast matrix multiplication approach like Strassen and Winograd perform much better than conventional matrix multiplication algorithm especially for large amount of data.
Impact of Digital Capability to Strategic Change in SME’s Retail Business in Indonesia

The digital age has entered almost all segments of life. All businesses including SMEs must adapt to the current situation. therefore companies must improve digital capabilities to be able to continue to compete. Based on previous research, digital capabilities are considered capable of improving company performance through strategy changes made. Digital capabilities themselves are formed through several factors including access, behavior, and cognition (Bellini et al, 2010). Increasing these three factors is expected to help companies to survive and compete in the digital era today. SMEs themselves are forced to continue to improve their digital capabilities in order to compete in the perfect market.
Leveraging Machine Learning to Characterize the Role of Socio-economic Determinants of Physical Health and Well-being Among Veterans

Understanding the contribution of demographic, socio-economic, and geographic characteristics as determinants of physical health and well-being is important for guiding public health policies and preventative behavior interventions. We use several machine learning methods to build predictive models of overall well-being and physical health among veterans as a function of these three sets of characteristics. We link Gallup's U.S. Daily Poll between 2014 and 2017 covering a range of demographic and socio-economic characteristics with zipcode characteristics from the Census Bureau to build predictive models of overall and physical well-being. Although the predictive models of overall well-being have weak performance, our classification of low levels of physical well-being performed better. Gradient boosting delivered the best results (90.2% precision, 82.4% recall, and 80.4% AUROC) with perceptions of purpose in the workplace and financial anxiety as the most predictive features. Our results suggest that additional measures of socio-economic characteristics are required to better predict physical well-being, particularly among vulnerable groups, like veterans. Reliable and effective predictive models will provide opportunities to create real-time and personalized feedback to help individuals improve their quality of life.
Dynamic Effects of Licensing and Knowledge Transfer Across Research Stages: Evidence from the Pharmaceutical Industry

In the pharmaceutical industry, ﬁrms frequently engage in licensing agreements to overcome innovation challenges and keep up with the pace of developing new drugs. Licensing helps ﬁrms jointly develop new drugs and acquire external knowledge, which helps improve their internal drug development capability. Our study examines the dynamic effects of licensing on the success of the licensees’ internal drug development across research stages. We adopt a structural equation modeling approach and ﬁnd that external knowledge transfer via licensing can have differential effects on ﬁrms’ internal research stage-speciﬁc R&D capabilities. The success of transferring external knowledge to an in-licensing ﬁrm is critically dependent on the ﬁrm’s internal R&D capabilities, their ﬁnancial capability, and the research stage. We ﬁnd that license agreements formed at the early stage (the discovery and preclinical test phases) and intermediate stage (phase 1 and 2 clinical test phases) exert strong direct and short-run effects on internal R&D capabilities in the same research stages. Moreover, licensing formed at the intermediate stage exerts remarkably strong indirect and long-run effects that impact R&D capabilities in successive research stages. Licensing in the late stage (phase 3 clinical test and product approval) is costly and does little to enhance ﬁrms’ internal R&D capabilities. Our results also show that licensing is formed among ﬁrms with stronger ﬁnancial resources, and those resources are necessary for a successful technology transfer. Our results also provide insights into the impact of licensing on project success rates across research stages.
Who Needs Philosophy in Physical Education?

JOPERD • Volume 77 No. 8 • October 2006 I n analyzing any segment of a real-world physical education class, one has to fi rst wonder why philosophy in physical education is important. What does philosophy have to do with effective teaching in a gymnasium full of elementary or secondary school children? Furthermore, what is the purpose of requiring students to take a philosophy of sport or philosophy of physical education course in their undergraduate curriculum? Physical educators are accountable for meeting national, state, and school district standards, which in many cases force a newly trained physical education teacher not to carefully consider a mission statement, a long-range curriculum plan, unit plans, and lesson plans that ultimately affect the students. Without question, the more that physical education teachers in training understand the critical role they play in helping American youths develop positive movement habits, the greater the trend for obesity in youths will decrease. The fact is the educational setting is our best hope to teach sound physical activity habits to our nation’s children. In order to achieve this goal, understanding the need, worth, value, and magnitude for physical education is paramount. This can only be done through philosophy.
Microgeographic variation in allozyme frequencies in relation to the degree of exposure to wave action in the dogwhelk Nucella lapillus (L.) (Prosobranchia: Muricacea)

Nucella lapillus from 15 sites 50 m to 21 km apart in S. Devon, S. W. England were analysed for allozyme variation at eight soluble enzyme loci. Sites were classified as either Exposed or Sheltered and a hierarchical analysis of allozyme variation carried out using Wright's Fixation Index, FST. Whelks from Sheltered sites segregated for alleles at the Est-3, Lap-2, Pep-2 and Mdh-1 loci which were virtually absent from exposed sites resulting in high FST values (0.289–0.506) when all samples were included. Consequently mean heterozygosity of the Sheltered samples was roughly twice that of the Exposed. Between Sheltered sites the frequencies of these ‘additional’ alleles varied substantially, even on a microgeographic scale and were found to be highly correlated with exposure. Within individuals the presence of the ‘sheltered’ alleles was correlated with the possession of the ‘sheltered’ shell shape as indicated by length divided by aperture height. This must necessarily be the case, however, if both are related independently to exposure. Although these correlations imply the action of selection there is evidence within the data for stochastic factors affecting the pattern observed. Complicating the picture further is the correspondence observed in the distribution of the ‘sheltered’ alleles with the known distribution of chromosomal translocations. Phenotypic associations within individuals also support the hypothesis that variation at the Est-3, Lap-2, Mdh-1 and Pet-2 loci is related to variation in chromosome number. However, the nature of the relations of karyotype and allozyme variation with shell shape and exposure remain speculative.
Investigating Nonneutrality in a State‐Dependent Pricing Model with Firm‐Level Productivity Shocks

In a model with fixed cost of price adjustment and idiosyncratic shocks, two parameterizations match a large set of microeconomic facts, yet display different degrees of nonneutrality. Although there is substantial nonneutrality in both cases, the model does not behave like a time&#8208;dependent model, as changes in the distribution of firms account for roughly a third of the short&#8208;run response of the price level to a monetary shock. We use the model to examine how aggregating firm behavior can generate flat hazards; we also find that a recently developed steady&#8208;state statistic is an imperfect guide to characterizing&#160;nonneutrality.
Middle Class as a Stabilized Dynamic System in Economy

We used elements of the qualitative theory of differential equations, sometimes called “catastrophe theory”, to justify the distribution of income. Within the framework of the proposed model, the concept of “middle class” receives a strict, non-descriptive definition. According to the model, the middle class exists near an equilibrium, but unstable state of the balance of income and costs. The interaction of the middle class and consumer credit makes it possible to explain the reasons for the “great recession” of 2007–2008 and the observed “Squeeze” of the middle class in economically developed countries.
Corporate Social Reporting and Assurance: The State of the Art

Este trabajo realiza una revisión de la literatura sobre verificación y divulgación de información sobre responsabilidad social corporativa basada en 320 artículos en las 36 revistas principales indexadas en el Journal Citation Reports del Thomson Reuters InCities en las categorías de Business, Finance (Accounting), Management, Ethics y otras categorías relacionadas con Environmental Sciences/Planning and Development. El marco propuesto para el análisis se enfoca en los predictores de la verificación y divulgación de información social y medioambiental, categorizados en factores individuales, organizativos e institucionales; así como en los impactos, clasificándolos en externos (reacciones del mercado) o internos (resultado empresarial). Además, determinamos los moderadores y mediadores con el fin de examinar si la relación entre la verificación y la divulgación de información sobre responsabilidad social y sus predictores e impactos cambia. La revisión revela importantes lagunas en el estado actual de la investigación, permitiéndonos plantear sugerencias sobre futuras investigaciones. This research reviews the corporate social responsibility disclosure literature based on 330 articles in the 36 main journals in the Thomson Reuters InCities Journal Citation Reports categories of Business, Finance (Accounting), Management, Ethics and others related to Environmental Sciences/Planning and Development. The framework includes predictors of socially responsible disclosure and assurance related to individual, organizational and institutional factors, as well as impacts that we classify as external (i.e., market reactions) or internal (i.e., firm performance). In addition, we establish the moderator and mediator variables with a view to examining whether the relationship between social responsibility reporting/assurance services and its predictors and impacts change. The review reveals important research gaps that allow us to provide suggestions about future research in terms of empirical perspectives.
General Financial Economic Equilibria

When demands and supplies are uncertain, given the prices, equilibrium cannot be defined by equating them. New equilibria are then formed on modeling markets as the abstract risk taking agent. The theory of acceptable risks is applied to redefine economic equilibrium. The market sets two prices for each commodity, one at which it buys and the other at which it sells. The two prices are determined by requiring the random net inventory and net revenue exposures to be acceptable risks. For an n- commodity economy there are 2n equilibrium equations for the 2n prices. The introduction of a two price labor market naturally leads to the concept of both an equilibrium unemployment rate and an equilibrium unemployment insurance rate. It is shown that the unemployment rate rises with the productivity of the economy and can be mitigated by expanding the number of products. Technological innovation accompanied by product expansion can be employment neutral and socially acceptable. Similarly redistributive strategies from the upper end of the income scale towards the middle or lower end can lower equilibrium unemployment levels via their effects on aggregate demand. Productivity shocks like COVID lead to higher equilibrium unemployment support levels measured by the income ratios of the unemployed to the employed. The magnitude of the increase depends on the levels of labor market risk acceptability.
Grey rhinos in financial markets and venue selection: the case of COVID-19

We investigate the effects of the COVID-19-induced shock in financial markets on aggregate venue selection/market share and market quality. We find that the shock is linked with an economically significant loss of market share by dark pools to lit exchanges. In line with theory, the loss appears linked to an increase in lit market volatility and a search for immediacy by traders active in stocks with dark trading access. The market quality implications of the reduction in dark trading are mixed: while it tempers COVID-19-linked liquidity decline in the lit market, it exacerbates the loss of informational efficiency. JEL classification: G12, G14, G15, G18
Role of Mechanical Loading for Platelet-Rich Plasma-Treated Achilles Tendinopathy

Abstract There is no consensus on the optimal rehabilitation protocol after platelet-rich plasma (PRP) treatment for tendinopathy despite basic science studies showing the critical role of mechanical loading in the restoration of tendon structure and function posttreatment. In this article, we will review tendon mechanobiology, platelet biology, and review levels I and II Achilles tendon clinical studies paying particular attention to the role of mechanical loading in rehabilitation of injured tendons. Animal studies emphasize the synergistic effect of mechanical tendon loading and PRP to treat tendon injury while clinical studies described minimal details on loading protocols.