Miracle-dz/UniFAR-FTUs huggingface dataset:
Isolation of PDX2, a Second Novel Gene in the Pyridoxine Biosynthesis Pathway of Eukaryotes, Archaebacteria, and a Subset of Eubacteria

ABSTRACT In this paper we describe the isolation of a second gene in the newly identified pyridoxine biosynthesis pathway of archaebacteria, some eubacteria, fungi, and plants. Although pyridoxine biosynthesis has been thoroughly examined in Escherichia coli, recent characterization of the Cercospora nicotianae biosynthesis gene PDX1 led to the discovery that most organisms contain a pyridoxine synthesis gene not found in E. coli. PDX2was isolated by a degenerate primer strategy based on conserved sequences of a gene specific to PDX1-containing organisms. The role of PDX2 in pyridoxine biosynthesis was confirmed by complementation of two C. nicotianae pyridoxine auxotrophs not mutant in PDX1. Also, targeted gene replacement of PDX2 in C. nicotianae results in pyridoxine auxotrophy. Comparable to PDX1, PDX2 homologues are not found in any of the organisms with homologues to theE. coli pyridoxine genes, but are found in the same archaebacteria, eubacteria, fungi, and plants that containPDX1 homologues. PDX2 proteins are less well conserved than their PDX1 counterparts but contain several protein motifs that are conserved throughout all PDX2 proteins.
MOWS: macro and micro online webview selection

In this paper we present an approach, called MOWS, to select materialized webview in data--intensive websites (DIWS). A webview is a static instance of a dynamic web page. The materialization of webviews consists of storing the results of some requests on the server in order to avoid repetitive data generation from the sources. The aim is to improve the query response time. Our contribution in this work is to apply two steps for the selection of webviews. The first one is executed periodically and it consists of filtering the candidate webviews. It is called macro-selection. The second is executed online and it consists of selecting the materialized webviews. It is called micro-selection. Our experiment results show that our solution is very efficient to improve query response time especially for the websites with high size. For this type of websites, our approach overcomes the existing solutions and it improves their query response times by more than 70%.
Rising Stroke Incidence in Young Adults: More Epidemiological Evidence, More Questions to Be Answered

The burden of stroke is extremely high. Recent estimations indicated that the global prevalence rate was 5 per 1000 person‐years, corresponding to 33 million people living after a stroke. In addition, 5.9 million people suffered a stroke‐related death in 2010, and stroke resulted in more than
Personality, Motivation, and Internet Gaming Disorder: Understanding the Addiction

PERSONALITY, MOTIVATION, AND INTERNET GAMING DISORDER: UNDERSTANDING THE ADDICTION Kristy L. Carlisle Old Dominion University, 2017 Chair: Dr. Edward Neukrug This dissertation examined the relationships among personality traits, motivation for play, and Internet gaming disorder in a diverse sample of Internet gamers, using a group correlational design and path analysis. The researcher sampled participants who self-identify as Internet gamers by posting invitations to participate in the study on Internet forums, as well as by accessing the gaming population at Pokémon Go hotspots. The study used valid and reliable instruments: The Ten-Item Internet Gaming Disorder Test (IGD-10), the abbreviated form of the Big Five Inventory (BFI-10), and the Motivation to Play Online Games Questionnaire (MPOGQ). Data analysis included descriptive statistics related to population demographics and prevalence rates, and multiple regression based on proposed causal relationships in a path analysis model. Prevalence analysis indicated that 4.2% of the population sampled met IGD criteria, with higher prevalence rates among males, students, and people under age 30, indicating potential risk factors for IGD. Findings showed that significant predictors of IGD amongst the variables in the model include male gender, neurotic and introverted personality traits, and motivation related to achievement, socialization, and immersion. A critical analysis of frequency of IGD criteria in the DSM-5 provided further implications for screening and assessment, with specific implications for female and non-White gamers. Limitations related to self-report data and generalizability, as well as recommendations for future research, are discussed.
Online Relational Bond, Trust and Customer Loyalty

With the online shopping market growing year by year, how to manage customer relationship has become an important issue for the online business industry. It is worth studying whether the relationship marketing theories of the past based on the physical channels are applicable to the Internet environment. This study establishes model to verify the impact of the relational bonds on trust and customer loyalty and the findings are: first, different relational bonds all have positive impact both on trust and customer loyalty; second, among all the preceding variables affecting trust and customer loyalty, the impact is in the following sequence: social bond, financial bond and structural bond; third, trust has the mediating effects between various relational bonds and customer loyalty.
La mère [batu] : étude ethno-psychologique de la relation mère-bébé dans la population Deni (Amazonie - Brésil)

Cette these traite, d'un point de vue ethno-psychologique, de l'interaction mere-bebe. L'hypothese principale concerne le role du +holding; (maternel et familial) et de sa fonction apaisante contre la detresse de l'enfant. Et cette these porte sur l'etude d'une population indigene amazonienne du Bresil : les Deni de la riviere Xerua. La methode combinee de l'observation directe des interactions precoces, de l'observation filmique et de l'analyse des representations culturelles des comportements de maternage par questionnaire, a servi de support a l'investigation clinique menee sur des familles Deni. Nous avons compare les particularites de soins prodigues aux enfants des familles Deni et des familles +riveraines.
Differential InP-HBT Current Controlled LC-Oscillators with Center Frequencies of 43 GHz and 67 GHz

We report on a LC-tuned differential current controlled oscillator (CCO ) with a center frequency of 43 GHz and a tuning range of 1 GHz. The phase noise is 90 to 100dBc at 1 MHz offset and the output power is 3:5 to 9:5dBm at 50 . The phase difference of the output signals was measured as 180 . A second type of oscillator had a center frequency of 67 GHz. To date, these two oscillators have the highest frequencies in the field of differential current or voltage controlled oscillators.
Consequences and Categories of SRAM FPGA Configuration SEUs

Understanding the SEU induced failure modes specific to the Virtex SRAM FPGA is needed to evaluate the applicability of various mitigation schemes since many mitigation approaches were originally intended for ASICs and may not be effective or efficient within FPGAs due to the unique failure modes and architectures found in SRAM-based FPGAs. Through this work, we have shown that SEUs in FPGAs’ programming data may result in five main categories of design modifications, specifically, changes in: mux select lines, programmable interconnect point states, buffer enables, LUT values, and control bit values. These effects are fairly unique to SRAM FPGAs and occur in addition to SEUs in a design’s memory elements. Through analyzing and classifying the bitstream-SEU-induced circuit failures for some test designs, we have been able to confirm and/or discover the following for the test designs: (1) failures in routing structures account for most of the design failures (78% to 84.8% of the failures); (2) the remaining 20% (approximately) were due to upsets in control bits and LUT value changes; (3) of the failure modes, routing mux changes have the most significant impact on bitstream SEU reliability, accounting for as many as 73% of the test designs’ sensitive programming bits; and, (4) the elimination of any single failure mode will not result in a 10x improvement in SEU reliability.
Modelling and simulation of a multi-fingered robotic hand for grasping tasks

This paper develops the kinematic, dynamic and contact models of a three-fingered robotic hand (BarrettHand) in order to obtain a complete description of the system which is required for manipulation tasks. These models do not only take into account the mechanical coupling and the breakaway mechanism of the under-actuated robotic hand but they also obtain the force transmission from the hand to objects, which are represented as triangle meshes. The developed models have been implemented on a software simulator based on the Easy Java Simulations platform. Several experiments have been performed in order to verify the accuracy of the proposed models with regard to the real physic system.
A CORRELATION INTEGRAL BASED METHOD FOR PATTERN RECOGNITION IN SERIES OF INTERSPIKE INTERVALS

Methods for detecting patterns in interspike interval (ISI) series, obtained from biological neural networks, are usually template based. This approach faces the major problem, that a priori assumptions about possible pattern structures have to be made. To avoid this difficulty, we propose a novel statistical approach, based on the correlation integral. Applications to model and neuronal data show the reliability of the method, even in noisy conditions.
Trends in Personalized Therapies in Oncology: The (Venture) Capitalist’s Perspective

Oncology is one of the most important fields of personalized medicine as a majority of efforts in this field have recently centered on targeted cancer drug development. New tools are continuously being developed that promise to make cancer treatment more efficacious while causing fewer side effects. Like most industries, the biopharmaceutical industry is also following certain global trends and these are analyzed in this article. As academia and industry are mutually dependent on each other, researchers in the field should be aware of those trends and the immediate consequences for their research. It is important for the future of this field that there is a healthy relationship among all interested parties as the challenges of personalized medicine are becoming ever more complex.
A Smart Structured Test Automation Language (SSTAL)

In model-based testing, abstract tests are designed in terms of a model, for example, a path in a graph and concrete tests are expressed in terms of the implementation of the model. Two problems exist while converting abstract tests to concrete tests: the "mapping'' problem and test oracle problem. Abstract tests cannot be applied directly to the actual program and they must first be mapped to concrete tests. Testers currently solve this mapping problem by hand. If one basic action is used multiple times in different abstract tests, testers must write a lot of redundant code for the same action. This process is time-consuming, labor-intensive, and error-prone. For the "mapping'' problem, this research will design a structured test automation language to partially automate the mapping from abstract tests to concrete tests. First, programmers or testers use the automation language to create mappings from each basic identifiable part (e.g. an action in a finite-state machine) of the model to the corresponding executable programming code. Once the mappings are generated, concrete tests can be generated automatically from the abstract tests. This structured test automation language will be used to improve the efficiency of generating concrete tests from a variety of abstract tests and reduce the potential errors. Test oracle problem refers to how to determine whether a test has passed or fail. While writing executable code, it is difficult to decide which parts of the program state should be compared by the concrete tests. A guideline will be established to evaluate stats of the program effectively and efficiently.
A Fast Iterative Method for Solving the Eikonal Equation on Tetrahedral Domains

Generating numerical solutions to the eikonal equation and its many variations has a broad range of applications in both the natural and computational sciences. Efficient solvers on cutting-edge, parallel architectures require new algorithms that may not be theoretically optimal, but that are designed to allow asynchronous solution updates and have limited memory access patterns. This paper presents a parallel algorithm for solving the eikonal equation on fully unstructured tetrahedral meshes. The method is appropriate for the type of fine-grained parallelism found on modern massively-SIMD architectures such as graphics processors and takes into account the particular constraints and capabilities of these computing platforms. This work builds on previous work for solving these equations on triangle meshes; in this paper we adapt and extend previous two-dimensional strategies to accommodate three-dimensional, unstructured, tetrahedralized domains. These new developments include a local update strategy with data compaction for tetrahedral meshes that provides solutions on both serial and parallel architectures, with a generalization to inhomogeneous, anisotropic speed functions. We also propose two new update schemes, specialized to mitigate the natural data increase observed when moving to three dimensions, and the data structures necessary for efficiently mapping data to parallel SIMD processors in a way that maintains computational density. Finally, we present descriptions of the implementations for a single CPU, as well as multicore CPUs with shared memory and SIMD architectures, with comparative results against state-of-the-art eikonal solvers.
The Role and Dynamic of Strengthening in the Reconsolidation Process in a Human Declarative Memory: What Decides the Fate of Recent and Older Memories?

Several reports have shown that after specific reminders are presented, consolidated memories pass from a stable state to one in which the memory is reactivated. This reactivation implies that memories are labile and susceptible to amnesic agents. This susceptibility decreases over time and leads to a re-stabilization phase usually known as reconsolidation. With respect to the biological role of reconsolidation, two functions have been proposed. First, the reconsolidation process allows new information to be integrated into the background of the original memory; second, it strengthens the original memory. We have previously demonstrated that both of these functions occur in the reconsolidation of human declarative memories. Our paradigm consisted of learning verbal material (lists of five pairs of nonsense syllables) acquired by a training process (L1-training) on Day 1 of our experiment. After this declarative memory is consolidated, it can be made labile by presenting a specific reminder. After this, the memory passes through a subsequent stabilization process. Strengthening creates a new scenario for the reconsolidation process; this function represents a new factor that may transform the dynamic of memories. First, we analyzed whether the repeated labilization-reconsolidation processes maintained the memory for longer periods of time. We showed that at least one labilization-reconsolidation process strengthens a memory via evaluation 5 days after its re-stabilization. We also demonstrated that this effect is not triggered by retrieval only. We then analyzed the way strengthening modified the effect of an amnesic agent that was presented immediately after repeated labilizations. The repeated labilization-reconsolidation processes made the memory more resistant to interference during re-stabilization. Finally, we evaluated whether the effect of strengthening may depend on the age of the memory. We found that the effect of strengthening did depend on the age of the memory. Forgetting may represent a process that weakens the effect of strengthening.
Reaction time and sprint results in athletics

The aim of each sprint race is to cover the competition sprint distance in the shortest possible time. Each sprint race commences at the moment of start signal announcement, which means, with the speed of a push off from the start blocks. The focus of this research was on reaction time, which is the first factor in time sequence of the sprint race. The sample of subjects included 250 female athletes and 360 male athletes who performed in athletic sprint events at the 2004 Olympic Games in Athens. The purpose of the research was to determine the existence of reaction time influence on the sprint result. The results showed that by the increase of sprint event distance, the average reaction time value became significantly increased too. Statistically significant correlation between the reaction time and the sprint result for female athletes was found for the sprint event 100 m hurdles. For male athletes, statistically significant correlation between the reaction time and the sprint result was established for sprint events 100 m flat and 110 m hurdles. Up until nowadays, the research studies were not able to establish any statistically significant correlation between reaction time and the sprint result in the sprint events.
Mining positive and negative fuzzy association rules with multiple minimum supports

Association rules mining is an important research topic in data mining and knowledge discovery. Traditional algorithms for mining association rules are built on the binary attributes databases, which has three limitations. Firstly, it can not concern quantitative attributes; secondly, only the positive association rules are discovered; thirdly, it treat each item with the same frequency although different item may have different frequency. In this paper, we put forward a discovery algorithm for mining positive and negative fuzzy association rules to resolve these three limitations.
Análisis bibliométrico de la producción científica de Arquitectura de la Información relacionada a las bibliotecas

Objective. Information architecture is a determinant guiding element for content layout and user navigation. This work aims at identifying and characterizing the scientific production about information architecture related to libraries. Method. In order to achieve the objective, a bibliometric review and a systemic analysis were conducted, the first to identify the most cited articles, the most productive authors in the field, the main journals; and the latter to characterize the debate and results presented in the articles. For the structured literature review, the Proknow-C method was utilized. The search was made in the Web of Science, Scopus and Science Direct databases. Results. One hundred fifteen articles were identified. Three peaks in the number of publications in 2001 (5), 2002 (6) and 2006 (4) were identified. Conclusions. The publications were concentrated in the Social Sciences and Computer Science. The main keywords (Digital libraries, Information architecture and World Wide Web) already contextualize and represent the content of the recovered articles. In relation to content analysis of the articles, a possible convergence in papers aimed towards studies of information architecture and digital libraries is discussed, which is very coherent with the current literature. We point out information architecture makes digital information environments better labelled and facilitates information access.
A Real Time Vibrotactile Biofeedback System for Improving Lower Extremity Kinematic Motion during Sports Training

In sports applications, the use of real time motion monitoring and biofeedback is vital for efficient training, technique improvements and reduce the risk of injuries. This paper proposes a novel approach for monitoring and improving jump landing technique based on lower extremity kinematics. The system consists of wearable inertial sensors, a custom developed software for data processing and a wireless biofeedback unit including skin stimulation devices for vibration feedback. Biofeedback is provided for knee angular measurements obtained with respect to defined target thresholds. The applicability and effectiveness of the system were tested using a Drop Vertical Jump (DVJ) to improve knee flexion and abduction/adduction during landing. The results confirm the accuracy of the system for real time applications and the impact of vibrotactile biofeedback for motor augmentation and injury prevention in sports applications.
The molecular dynamics of crawling migration in microtubule-disrupted keratocytes

Cell-crawling migration plays an essential role in complex biological phenomena. It is now generally believed that many processes essential to such migration are regulated by microtubules in many cells, including fibroblasts and neurons. However, keratocytes treated with nocodazole, which is an inhibitor of microtubule polymerization – and even keratocyte fragments that contain no microtubules – migrate at the same velocity and with the same directionality as normal keratocytes. In this study, we discovered that not only these migration properties, but also the molecular dynamics that regulate such properties, such as the retrograde flow rate of actin filaments, distributions of vinculin and myosin II, and traction forces, are also the same in nocodazole-treated keratocytes as those in untreated keratocytes. These results suggest that microtubules are not in fact required for crawling migration of keratocytes, either in terms of migrating properties or of intracellular molecular dynamics.
Associations of acculturation and kidney dysfunction among Hispanics and Chinese from the Multi-Ethnic Study of Atherosclerosis (MESA).

BACKGROUND Acculturation affects health, but it has never been studied with kidney disease. METHODS We studied the association of language spoken at home, generation and birth place with kidney function among Hispanics and Chinese in the Multi-Ethnic Study of Atherosclerosis (n = 2999). Kidney function was determined by cystatin C (eGFRcys) and albumin/creatinine ratio (ACR). We evaluated mediators in models: Model 1 = age, sex, income, education; Model 2 = Model 1 + behaviors; and Model 3 = Model 1 + comorbidities. RESULTS Among Hispanics, speaking mixed Spanish/English was significantly associated with lower eGFRcys (- 2.83 mL/min/1.73 m(2), - 5.69-0.04) and higher ACR (RD 40%, 17-68%) compared with speaking Spanish only; this was mildly attenuated by behaviors (- 2.29, - 5.33-0.75; RD 42%, 18-72%) but not comorbidities (- 3.04, - 5.83 to - 0.23); RD 35%, 14-59%). US-born Hispanics had lower eGFRcys compared with foreign-born Hispanics [1.83 mL/min/1.73 m(2) lower (0.97-1.31) for Generation 1; 1.37 mL/min/1.73 m(2) lower (0.75-1.57) for Generation ≥ 2]. In contrast, Chinese who spoke any English had higher eGFRcys (2.53, 95% CI: - 1.70-6.78), but similar ACR (RD - 5%, 95% CI: - 26-23%) compared with those speaking Chinese only, but associations were not statistically significant. CONCLUSION Higher acculturation was associated with worse kidney function in Hispanics, mediated perhaps by behavioral factors but not comorbidities. Associations may be in the opposite direction among Chinese. Future studies are needed to elucidate these mechanisms.
Liver fat and SHBG affect insulin resistance in midlife women: The Study of Women’s Health Across the Nation (SWAN)

The liver is an insulin‐responsive organ that contributes significantly to both whole body insulin sensitivity and availability of sex steroids through the production of sex hormone binding globulin (SHBG). Our objective was to explore whether lower SHBG was associated with ectopic liver fat and mediated its effect on insulin resistance in The Study of Women's Health Across the Nation (SWAN).