Miracle-dz/UniFAR-FTUs huggingface dataset:
Essential Role of the A’α/Aβ Gap in the N-Terminal Upstream of LOV2 for the Blue Light Signaling from LOV2 to Kinase in Arabidopsis Photototropin1, a Plant Blue Light Receptor

Phototropin (phot) is a blue light (BL) receptor in plants and is involved in phototropism, chloroplast movement, stomata opening, etc. A phot molecule has two photo-receptive domains named LOV (Light-Oxygen-Voltage) 1 and 2 in its N-terminal region and a serine/threonine kinase (STK) in its C-terminal region. STK activity is regulated mainly by LOV2, which has a cyclic photoreaction, including the transient formation of a flavin mononucleotide (FMN)-cysteinyl adduct (S390). One of the key events for the propagation of the BL signal from LOV2 to STK is conformational changes in a Jα-helix residing downstream of the LOV2 C-terminus. In contrast, we focused on the role of the A’α-helix, which is located upstream of the LOV2 N-terminus and interacts with the Jα-helix. Using LOV2-STK polypeptides from Arabidopsis thaliana phot1, we found that truncation of the A’α-helix and amino acid substitutions at Glu474 and Lys475 in the gap between the A’α and the Aβ strand of LOV2 (A’α/Aβ gap) to Ala impaired the BL-induced activation of the STK, although they did not affect S390 formation. Trypsin digested the LOV2-STK at Lys603 and Lys475 in a light-dependent manner indicating BL-induced structural changes in both the Jα-helix and the gap. The digestion at Lys603 is faster than at Lys475. These BL-induced structural changes were observed with the Glu474Ala and the Lys475Ala substitutes, indicating that the BL signal reached the Jα-helix as well as the A’α/Aβ gap but could not activate STK. The amino acid residues, Glu474 and Lys475, in the gap are conserved among the phots of higher plants and may act as a joint to connect the structural changes in the Jα-helix with the activation of STK.
Gender’s Effect on a School-Based Intervention in The Prepubertal Growth Spurt

Abstract Children aged 10-11 years pass through a dynamic developmental period marked by rapid changes in body size, shape, and composition, all of which are sexually dimorphic. The purpose of this study was to analyze the effects of gender on a school-based intervention in the prepubertal growth spurt. One hundred twenty-five healthy children (58 boys, 67 girls), fifth and sixth grade students from an urban public elementary school in Portugal (10.8 ± 0.4 years), were randomly assigned into two experimental groups: a strength training group (19 boys, 22 girls), and an endurance training group (21 boys, 24 girls); and a control group (18 boys, 21 girls; no training program). Training program for the two experimental groups was conducted twice a week for 8 weeks. Compared with the values at the beginning of the protocol, both strength and endurance training programs produced significant improvements (p< 0.05) in vertical and horizontal jumps, a 1 kg and 3 kg medicine ball throw, a 20 m sprint and VO2max, for both boys and girls. No significant changes were observed related to gender in training-induced strength (p> 0.05, ƞ_p^2= 0.16, Power= 0.29) and aerobic (p> 0.05, ƞ_p^2= 0.05, Power= 0.28) capacity. The results of the present study should be taken into consideration in order to optimize strength training school-based programs.
An Investigation of Effectiveness of "Opinion" and "Fact" Sentences for Sentiment Analysis of Customer Reviews

Recently, a customer review of travel information website has been a big influence on users in accommodations by the spread of the internet. In our research, as preprocessing of picking out information from the reviews, we propose a method to classify sentences into "Opinion sentences" and "Fact sentences" using SVM. And we confirm effectiveness of "opinion sentences" to estimate values by classification reviews into Positive and Negative using SVM.
Towards Constraint-based Explanations for Answers and Non-Answers

Explaining why an answer is present (traditional provenance) or absent (why-not provenance) from a query result is important for many use cases. Most existing approaches for positive queries use the existence (or absence) of input data to explain a (missing) answer. However, for realistically-sized databases, these explanations can be very large and, thus, may not be very helpful to a user. In this paper, we argue that logical constraints as a concise description of large (or even infinite) sets of existing or missing inputs can provide a natural way of answering a why- or why-not provenance question. For instance, consider a query that returns the names of all cities which can be reached with at most one transfer via train from Lyon in France. The provenance of a city in the result of this query, say Dijon, will contain a large number of train connections between Lyon and Dijon which each justify the existence of Dijon in the result. If we are aware that Lyon and Dijon are cities in France (e.g., an ontology of geographical locations is available), then we can use this information to generalize the query output and its provenance to provide a more concise explanation of why Dijon is in the result. For instance, we may conclude that all cities in France can be reached from each other through Paris. We demonstrate how an ontology expressed as inclusion dependencies can provide meaningful justifications for answers and non-answers, and we outline how to find a most general such explanation for a given UCQ query result using Datalog. Furthermore, we sketch several variations of this framework derived by considering other types of constraints as well as alternative definitions of explanation and generalization.
The Declining Labor Share of Income

Abstract We use two separate panel datasets, one at the economy-wide level and one for the manufacturing sector alone to examine trends in the labor share over the last three decades. Both datasets show that labor shares have decreased, starting from about 1980, in most regions of the world. This finding is robust to adjustments for self-employment as well as adjustments for the unbalanced panel structure of both datasets. Furthermore, we present evidence that as a first approximation, this decrease is driven by declines in intra-sector labor shares as opposed to movements in activity towards sectors with lower labor shares. Finally, we show that global labor share at the economy wide level has been falling.
A Longitudinal Examination of the Association between Contextual Stress, Parenting, and School Readiness

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Disgust sensitivity is associated with heightened risk perception

Abstract Disgust is a versatile emotion that is not only elicited by threats to one’s physical health but that has also recently been linked to social and especially moral concerns. Building on the hypothesis that disgust can be seen as part of a broader loss aversion system, four studies demonstrate that disgust sensitivity is linked to heightened risk perception. A preliminary study and Study 1 established a moderate correlation of disgust sensitivity with risk perception. Studies 2 and 3 confirmed the effect while controlling for potential affective influences, including current mood, or trait anxiety, respectively. Importantly, we find that the correlation is also independent of gender and age, and that disgust sensitivity is associated with a broad range of risk domains, including recreational, social, ethical, financial, and health and safety risks. Therefore, disgust may be part of a general risk aversion mechanism aimed at guiding behavior in uncertain situations.
Dynamic image stitching for moving object

Environment perception is a key technology for robot control and moving. Image information has the advantage of low-cost to perceive the indoor environment. Stitching multiple images is helpful to realize the full range of global view of indoor environment. Our research devotes to showing a large field of view by dynamic image stitching when there is a moving object in the environment. The images of two ceiling cameras were stitched by using methods of image stitching. A core process of image mosaic is adjusting intensity and seeking optimal seam line. The optimal seam line was computed to avoid the moving object, which solved the abnormal stitching caused by parallax influence. Our experiment was divided into two stages: preparation and test. Initial setup got the stitching parameters and built background. This reduced time for the test stage. We designed an experiment of moving robot real-time location and control. We used this experiment to test our methods. The experiment results show that we can well achieve dynamic image stitching.
Cognitive Ability and Framing Effects

This thesis examines the question whether individuals with a higher cognitive ability are more likely to avoid framing effects compared to people with lower cognitive ability. Knowing if a particular group of society is susceptible to framing effects can be useful information for various parties. For example, a company knows that it can be efficient to use framing effects when addressing people with relatively low cognitive ability and that this method is pretty useless when addressing people with relatively high cognitive ability. 223 people participated in a survey-experiment that included the Cognitive Reflection Test as a measure of cognitive ability and two different framing problems. The data is analyzed using an OLS regression. The data indicates that people with higher cognitive ability are more likely to avoid framing effects. Unfortunately, no hard evidence has been found to generalize these findings to the population. The final chapters discuss the limitations of this research and recommendations for further research.
PSVM : Parallelizing Support Vector Machines on Distributed Computers

Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability, we have developed a parallel SVM algorithm (PSVM), which reduces memory use through performing a row-based, approximate matrix factorization, and which loads only essential data to each machine to perform parallel computation. Let n denote the number of training instances, p the reduced matrix dimension after factorization (p is significantly smaller than n), and m the number of machines. PSVM reduces the memory requirement from O(n2) to O(np/m), and improves computation time to O(np2/m). Empirical study shows PSVM to be effective. PSVM Open Source is available for download at http://code.google. com/p/psvm/.
Decreased Bone Mineral Density Is an Independent Predictor for the Development of Atherosclerosis: A Systematic Review and Meta-Analysis

Background There is conflicting evidence regarding the association between decreased bone mineral density (BMD) and atherosclerosis. To this end, we performed a systematic review and meta-analysis to clarify the association. Methods To identify relevant studies, PubMed, Embase, and the Cochrane Library were systematically searched up to November 2015. All observational and comparative studies directly investigating the relationship between decreased BMD and clinical consequences of atherosclerotic vascular abnormalities, including carotid artery calcification (CAC), cardiovascular disease (CAD), and coronary artery disease (CAD) were obtained, without limitation of language or publication year. Results A total of 25 studies involving 10,299 patients were included. The incidence of atherosclerotic vascular abnormalities was significantly increased in low BMD patients, compared to patients with normal BMD (OR, 1.81, 95% CI [1.01, 2.19], p<0.00001)). Similar results were also observed for postmenopausal women (OR, 2.23, 95% CI [1.72, 2.89], p<0.00001). Subgroup analyses of osteopenia, osteoporosis, and normal BMD also revealed that the combined ORs for the incidence of atherosclerotic vascular abnormalities increased as BMD decreased. Of note, after adjusting for age, sex, body mass index (BMI) and other vascular risk factors, decreased BMD remained significantly associated with the incidence of atherosclerotic vascular abnormalities (OR, 2.96, 95% CI [2.25, 3.88], p < 0.00001). Conclusions Based on the results of this study, decreased BMD is an independent predictor for the development of atherosclerosis in elderly individuals. Moreover, the risk of atherosclerotic vascular abnormalities increased as BMD decreased. Future studies focusing on individuals with different severities of atherosclerosis and comorbidities are of interest.
Generalized approximate message passing for estimation with random linear mixing

We consider the estimation of a random vector observed through a linear transform followed by a componentwise probabilistic measurement channel. Although such linear mixing estimation problems are generally highly non-convex, Gaussian approximations of belief propagation (BP) have proven to be computationally attractive and highly effective in a range of applications. Recently, Bayati and Montanari have provided a rigorous and extremely general analysis of a large class of approximate message passing (AMP) algorithms that includes many Gaussian approximate BP methods. This paper extends their analysis to a larger class of algorithms to include what we call generalized AMP (G-AMP). G-AMP incorporates general (possibly non-AWGN) measurement channels. Similar to the AWGN output channel case, we show that the asymptotic behavior of the G-AMP algorithm under large i.i. d. Gaussian transform matrices is described by a simple set of state evolution (SE) equations. The general SE equations recover and extend several earlier results, including SE equations for approximate BP on general output channels by Guo and Wang.
Scrutiny of the CHRNA 5-CHRNA 3-CHRNB 4 smoking behavior locus reveals a novel association with alcohol use in a Finnish population based study

The CHRNA5-CHRNA3-CHRNB4 gene cluster on chromosome 15q25.1 encoding the cholinergic nicotinic receptor subunits is robustly associated with smoking behavior and nicotine dependence. Only a few studies to date have examined the locus with alcohol related traits and found evidence of association with alcohol abuse and dependence. Our main goal was to examine the role of three intensively studied single nucleotide polymorphisms, rs16969968, rs578776 and rs588765, tagging three distinct loci, in alcohol use. Our sample was drawn from two independent Finnish population-based surveys, the National FINRISK Study and the Health 2000 (Health Examination) Survey. The combined sample included a total of 32,592 adult Finns (54% women) of whom 8,356 were assessed for cigarettes per day (CPD). Data on alcohol use were available for 31,812 individuals. We detected a novel association between rs588765 and alcohol use defined as abstainers and low-frequency drinkers versus drinkers (OR=1.15, p=0.00007). Additionally, we provide precise estimates of strength of the association between the three loci and smoking quantity in a very large population based sample. As a conclusion, our results provide further evidence for the nicotine-specific role of rs16969968 (locus 1). Further, our data suggest that the effect of rs588765 (locus 3) may be specific to alcohol use as the effect is seen also in never smokers.
Recommendation system with collaborative social tagging exploration

Recommender system plays a significant role in reducing the information overload on the sites where users have searched and contented. Existing approaches which deals with such recommendation system apply collaborative filtering techniques to specify the most alike users whom they hope to make recommendations. Collaborative Filtering will significantly show better improvement with the enclosure of real data extraction from the suitable tagging system. In this paper, data from social tagging systems are extracted for every individual considering the correlations between users, items, and tag information. Tag information from users is the most decisive factor to predict the personalized suggestion for web users. Here, we rank the available content based tag information with the inclusion of temporal decay of users' behavior over time and the centrality of every node in the network. Finally, we use the common preference metric for effective personalization. Results have been experimentally demonstrated with the empirical dataset MovieLens and provided the results as an alternative recommendation method with simplicity and efficiency.
Security and accountability for sharing the data stored in the cloud

Important for cloud services the cloud computing share throw multiple clients, and it is more important to allocate resources for cloud service provider, cloud computing is an infrastructure that provides on demand network services, in relation, the most important feature of the cloud services is that user's data are hosted in remote. While taking benefit of this new emerging technology, users' fear of losing command of their own data, is becoming a noteworthy hurdle to the extensive implementation of cloud services. Cloud service provider module is to process data owner request for storing data files and application and provides cloud users log details to data owner for audit purpose, to address this problem framework based on information accountability to keep track and trial of the authentic handling of the users' data in the cloud. The system proposed that the Data can be fully tracked by the owner and follow up the service agreements by depending on many items which access, usage control and management.
Helping Developers to Look Deeper inside Game Sessions

Game design and development activities are increasingly relying on the analysis of gamer's behavior and preferences data. Various tools are available to the developers to track and analyze general data concerning acquisition, retention and monetization aspects of game commercialization. This is good enough to give hints on where problems are, but not to enable a precise diagnosis, which demands fine-grained data. For this kind of data, there is not enough support or guidance to decide which data to capture, to write the code to capture it, to choose the best representation of it and to allow an adequate retrieval and presentation of it. This paper introduces GameGuts (GG), a framework devoted to give further assistance to developers in choosing, representing, accessing and presenting game sessions fine-grained data. As a case study, GG recorded sessions of a game platform with over a hundred thousand users. The logs were analyzed using a Visual Domain Specific Language (as a query language) and an ensemble of rules (as a compliance test). The results are encouraging, since we could - among other results - find bugs and catch cheaters, as well as spot design flaws.
Enhance Top-down method with Meta-Classification for Very Large-scale Hierarchical Classification

Recent large-scale hierarchical classification tasks typically have tens of thousands of classes as well as a large number of samples, for which the dominant solution is the top-down method due to computational complexity. However, the top-down method suffers from accuracy deficiency, that is, its accuracy is generally lower than that of the flat approach of 1-vs-Rest. In this paper, we employ meta-classification technique to enhance the classifying procedure of the top-down method. We analyze the proposed method on the aspect of accuracy, and then test it with two realworld large-scale data sets. Our method both maintains the efficiency of the conventional top-down method and provides competitive classification accuracies.
Fine Mapping of the Bsr1 Barley Stripe Mosaic Virus Resistance Gene in the Model Grass Brachypodium distachyon

The ND18 strain of Barley stripe mosaic virus (BSMV) infects several lines of Brachypodium distachyon, a recently developed model system for genomics research in cereals. Among the inbred lines tested, Bd3-1 is highly resistant at 20 to 25°C, whereas Bd21 is susceptible and infection results in an intense mosaic phenotype accompanied by high levels of replicating virus. We generated an F6∶7 recombinant inbred line (RIL) population from a cross between Bd3-1 and Bd21 and used the RILs, and an F2 population of a second Bd21 × Bd3-1 cross to evaluate the inheritance of resistance. The results indicate that resistance segregates as expected for a single dominant gene, which we have designated Barley stripe mosaic virus resistance 1 (Bsr1). We constructed a genetic linkage map of the RIL population using SNP markers to map this gene to within 705 Kb of the distal end of the top of chromosome 3. Additional CAPS and Indel markers were used to fine map Bsr1 to a 23 Kb interval containing five putative genes. Our study demonstrates the power of using RILs to rapidly map the genetic determinants of BSMV resistance in Brachypodium. Moreover, the RILs and their associated genetic map, when combined with the complete genomic sequence of Brachypodium, provide new resources for genetic analyses of many other traits.
EXPANSIONS OF THE ORDERED ADDITIVE GROUP OF REAL NUMBERS BY TWO DISCRETE SUBGROUPS

Abstract The theory of (ℝ, <, +, ℤ, ℤa) is decidable if a is quadratic. If a is the golden ratio, (ℝ, <, +, ℤ, ℤa) defines multiplication by a. The results are established by using the Ostrowski numeration system based on the continued fraction expansion of a to define the above structures in monadic second order logic of one successor. The converse that (ℝ, <, +, ℤ, ℤa) defines monadic second order logic of one successor, will also be established.
Swagger like us: Black millennials’ perceptions of 1990s urban brands

Hip-hop is a significant cultural and artistic phenomenon that was created in the Black community and has since spread around the world (Aldridge & Stewart, 2005). Hiphop culture has a unique and authentic clothing style, music style, and language (McLeod, 1999). The relationship between hip-hop culture, rap music, and fashion has global appeal (Power & Hauge, 2008). This research is centered around the evolution of this cultural fashion movement in Black history as it relates to Black millennials today and their experiences fashioning their bodies. There is not a significant amount of literature on urbanwear brands that came out of hip-hop culture or the owners of these fashion brands. The purpose of this study is to examine Black millennials attending Historically Black Colleges and Universities (HBCU) about their perceptions and knowledge of prominent, Black-owned, urban fashion brands that emerged in the late 1980s and throughout the 1990s during the hiphop fashion revolution. Black millennials currently attending or who are alumni of HBCU’s were specifically chosen as the focus of this study because of the heightened immersion in Black culture that a HBCU environment provides. Throughout history, Black individuals have contributed significantly to American society, and hip-hop culture is one of those contributions as it was a major cultural revolution. While Black appearance and clothing has been under scrutiny in America since slavery, urbanwear fashion was a way for Black individuals to express themselves and represent their community. Ethnic dress, such as urban styles of dress, are clothing worn by individuals to express their belonging to a community with a common heritage (Kaiser, 2012; Eicher & Sumberg, 1995). The participants in this study explained their experiences with urban fashion brands, support of Black-owned brands, stereotypes associated with urban fashion, and how hip-hop and urbanwear still inspires their