Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of common single-nucleotide polymorphisms in acetylsalicylic acid metabolic pathway genes on platelet reactivity in patients with diabetes

Background Platelet reactivity in patients on acetylsalicylic acid (ASA) therapy can be influenced by physiological or pathological conditions affecting ASA pharmacokinetics or pharmacodynamics. The mechanism of such variability in the therapeutic response to ASA, particularly in diabetic patients, is poorly understood. The rate of elimination of ASA and its metabolite, salicylic acid (SA), is likely a major factor determining drug efficacy. The objective of this study was to investigate the effect of genetic polymorphisms in the selected candidate genes within the ASA metabolic pathway on the platelet reactivity and concentration of ASA and thromboxane A2 (TxA2) metabolites in a population of patients with type 2 diabetes mellitus (T2DM). Material/Methods The study cohort consisted of 287 Caucasians with T2DM who had been taking ASA tablets at the dose of 75 mg per day for at least 3 months. Platelet reactivity analyses were performed using VerifyNow Aspirin and PFA-100 assays. The measured ASA metabolite included salicylic acid (ASA), and TxA2 metabolites included serum TxB2 and urinary 11-dh-TxB2. Genotyping for the selected 18 single-nucleotide polymorphisms (SNPs) within 5 genes of the ASA metabolic pathway was performed using a Sequenom iPLEX platform. Results No statistically significant association was observed between the investigated SNPs genotypes, platelet reactivity, and measured metabolites in the investigated cohort of patients. Conclusions The results of our study failed to confirm that the selected variants in the genes within the ASA metabolic pathway might contribute to platelet reactivity in a diabetic population treated with ASA.
Similar Personality Patterns Are Associated with Empathy in Four Different Countries

Empathy is an important human ability associated with successful social interaction. It is currently unclear how to optimally measure individual differences in empathic processing. Although the Big Five model of personality is an effective model to explain individual differences in human experience and behavior, its relation to measures of empathy is currently not well understood. Therefore, the present study was designed to investigate the relationship between the Big Five personality concept and two commonly used measures for empathy [Empathy Quotient (EQ), Interpersonal Reactivity Index (IRI)] in four samples from China, Germany, Spain, and the United States of America. This approach was designed to advance the way the Big Five personality model can be used to measure empathy. We found evidence of medium effect sizes for associations between personality and empathy, with agreeableness and conscientiousness as the most important predictors of affective and cognitive empathy (measured by the respective IRI subscales) as well as for a one-dimensional empathy score (measured by the EQ). Empathy in a fictional context was most closely related to openness to experience while personal distress was first of all related to neuroticism. In terms of culture, we did not observe any distinct pattern concerning cultural differences. These results support the cross-cultural applicability of the EQ and the IRI and indicate structurally similar associations between personality and empathy across cultures.
Effects of the Protective Factor Social Support and Risk Factor of Cocaine Abuse/Dependence Among Racially Diverse Female Survivors of Sexual Victimization

ix INTRODUCTION.1 Background Literature and Current Status of Theory and Research . 1 Critique and Need for Further Study.11 Focus and Scope of the Proposed Project.11 METHODOLOGY.13 Participants and Procedures.13 Measures.15 Specific Aims.20 Hypotheses.20 RESULTS.21 Analysis.21 Outcomes. 22 DISCUSSION . 27 Findings.27 Relation to Prior Research.28 Implications.31 Limitations.33 Future Directions.34 REFERENCES.35 APPENDIX A: Demographics I.66 APPENDIX B: Demographics II.68 APPENDIX C: Sexual Assault I.70 APPENDIX D: Sexual Assault II.72
Design and Implementation of Data Collection Instruments for Neonatology Research

Aim: The aim of our research was to design and implement data collection instruments to be use in context of an observational prospective clinical study with follow-up conducted on new born with intrauterine growth restriction. Methods: The structure of the data collection forms (paper based and electronic based) was first identified and for each variable the best type to accomplish the research aim was established. The code for categorical variables has also been decided as well as the units of measurements for quantitative variables. In respect of good practice, a set of confounding factors (as gender, date of birth, etc.) have also been identified and integrated in data collection instruments. Data-entry validation rules were implemented for each variable to reduce data input errors when the electronic data collection instrument was created. Results: Two data collection instruments have been developed and successfully implemented: a paper-based form and an electronic data collection instrument. The developed forms included demographics, neonatal complications (as hypoglycemia, hypocalcemia, etc.), biochemical data at birth and follow-up, immunological data, as well as basal and follow-up echocardiographic data. Data-entry validation criteria have been implemented in electronic data collection instrument to assure validity and precision when paper-based data are translated in electronic form. Furthermore, to assure subject’s confidentiality a careful attention was given to HIPPA identifiers when electronic data collection instrument was developed. Conclusion: Data collection instruments were successfully developed and implemented as an a priori step in a clinical research for assisting data collection and management in a case of an observational prospective study with follow-up visits.
Verifying home network bandwidth sharing plans

Experimental evidence from recent measurement studies has shown that bandwidth bottlenecks usually reside at the edges of the Internet, which is also true for residential networks where users share network resources and there is a need to regulate the usage of bandwidth. In this paper we introduce a rule-based approach for specifying bandwidth sharing plans for home networks which are enforced in a distributed manner across the network. More specifically we focus on the problem of verifying these sharing plans detecting potential inconsistencies which may arise from the rules that are specified by users. We describe a novel tree-based structure to model and verify the network's sharing scheme and support the specification of custom conflict resolution policies.
The Lunar Rock and Mineral Characterization Consortium (LRMCC): Integrated Analyses and Mineral Endmembers from Mare Basalts

Introduction: The current era of lunar exploration is rich, with a number of spacecraft in operation or soon to be launched. These international missions carry a range of sophisticated instruments that will map the lunar surface and environment in unprecedented detail. From this suite of instruments, the highest-resolution compositional data will be provided by optical instruments sensitive to surface mineralogy. These high spectral and spatial resolution optical instruments will provide the data needed for detailed characterization of the Moon's global mineralogy, which is a key to understanding the Moon's geologic evolution. These instruments rely on the unique absorption properties of lunar materials, which reflect solar radiation in characteristic ways depending on their mineralogy [1-5]. Optical instruments are not sensitive to elemental abundances, though these spacecraft carry other instruments that will acquire these critical data. Interpretation of remotely acquired reflectance spectra relies in large part on high quality laboratory measurements of samples, either analogues or real ground truth (lunar samples) [6-10]. Synthetic mixtures of endmember minerals do not capture important subtleties found in real lunar samples, which can have profound implications for interpretation of the spectra. Additionally, terrestrial minerals differ in important ways from their lunar analogues. For these principal reasons, measurement of lunar samples is essential for remote exploration of lunar mineralogy. The Lunar Soil Characterization Consortium (LSCC) conducted coordinated analyses of a suite of lunar soils and addressed the space weathering process in bulk lunar soils, but did not analyze unweathered lunar materials [11]. The Lunar Rock and Mineral Characterization Consortium (LRMCC) has conducted similar coordinated mineralogy , petrology, and spectroscopy analyses of this un-weathered component in the form of four lunar rock samples [12, 13]. The resulting dataset provides ideal ground truth and constraints for models of spectral mixing and space weathering. Sample Preparation and Analysis: The LRMCC was allocated four lunar basalt slabs and paired thin sections. Two low-Ti (15058, 15555) and two high-Ti (70017, 70035) samples were allocated to the LRMCC. Mineral composition and modes were determined from the thin sections by electron microprobe (EMP) analysis using Oxford FeatureScan software using the proce
Generally Hybrid Proxy Re-Encryption: A Secure Data Sharing among Cryptographic Clouds

Proxy Re-Encryption (PRE) is a favorable primitive to realize a cryptographic cloud with secure and flexible data sharing mechanism. A number of PRE schemes with versatile capabilities have been proposed for different applications. The secure data sharing can be internally achieved in each PRE scheme. But no previous work can guarantee the secure data sharing among different PRE schemes in a general manner. Moreover, it is challenging to solve this problem due to huge differences among the existing PRE schemes in their algebraic systems and public-key types. To solve this problem more generally, this paper uniforms the definitions of the existing PRE and Public Key Encryption (PKE) schemes, and further uniforms their security definitions. Then taking any uniformly defined PRE scheme and any uniformly defined PKE scheme as two building blocks, this paper constructs a Generally Hybrid Proxy Re-Encryption (GHPRE) scheme with the idea of temporary public and private keys to achieve secure data sharing between these two underlying schemes. Since PKE is a more general definition than PRE, the proposed GHPRE scheme also is workable between any two PRE schemes. Moreover, the proposed GHPRE scheme can be transparently deployed even if the underlying PRE schemes are implementing.
Some issues on cognitive radio and UWB technology convergence for enabling green networks

In this paper1 we propose a new orientation and scenarios basedon the convergence of UWB and cognitive radio technologies for enabling green radio. We first present some results which show the ability of cognitive radio system to operate simultaneously with licensed systems without causing harmful degradation. In a second step, we highlight some properties of UWB propagation related to interference mitigation. In the last part of this work, we propose a new scenario based on the convergence between UWB technology and cognitive radio approach for the optimization of interference control and energy consumption.
When Students Grade Their Teachers: A Validity Analysis of the Tripod Student Survey

ABSTRACT This article develops a validity argument for the use of the Tripod student survey of instructional practices to assess teacher effectiveness in summative teacher evaluations and professional development decisions. This paper expands upon previous research in three ways: (a) it draws from current validity thinking to examine the evidence for separate summative and formative purposes of the Tripod survey, (b) it takes advantage of a large, multiple measure data set collected by the Measures of Effective Teaching Project, and (c) it accounts for both the multilevel nature of school data and contextual classroom features. Preliminary evidence was found for a two-dimensional structure, representing classroom management (Control) and academic support (Support). The Control and Support Tripod scores are fairly reliable and correlated with classroom observation ratings and teacher value-added scores. However, caution is suggested in interpreting these results as an endorsement for use in high-stakes teacher evaluations.
Control-oriented modeling and adaptive parameter estimation of a Lithium ion intercalation cell

Battery management systems using parameter and state estimators, based on electrochemical models for Lithium ion cells, are promising efficient use and safety of the battery. A new reduced order model of the Pseudo Two-Dimensional model is derived, based on the absolute nodal coordinate formulation (ANCF). The ANCF model is shown to be accurate for currents up to 4C for a LiCoO2/LiC6 cell. To estimate SOC and SOH of the cell, an extended adaptive observer, guaranteeing global stability for state tracking, is presented. It is applied to the new reduced order model and parameters are shown to converge under conditions of persistent excitation.
Efficient cache structures of IP routers to provide policy-based services

The policy-based service is becoming more important for the Internet shared by various applications. To realize the policy-based service, the router is required to forward packets according to the requirements of the traffic flow that the packet belongs to. However, the packet (and flow) classification easily becomes a bottleneck because the router is necessary to handle multiple fields within the packet. We propose a new packet classification algorithm capable of following the packet forwarding rate of the high-speed routers with the commercially available CPU, RAM, and cache memories. Through our experiments, we show the effects of parameters of the cache structure on the processing rate of the packet classification.
Chronological Accommodation of Oculo-motors in Response to Varying Sizes of Visual Stimuli

To analyze a chronological accommodation process for viewing objects, viewer's VEP, eye movements and pupil oscillations were measured while six sizes of Landolt circle were presented for 1s, with reviews being asking and then not being asking for their responses right afterwards. The significant features of the metrics were extracted to illustrate the perception process and resulting sizes of visual stimuli. The stimulus sizes affect P1 and N1 delay times of VEP, mean of eye movement lengths and pupil diameters and oscillations during the second 500 {milliseconds}. The feasibility of prediction for stimulus sizes viewed is been confirmed using the indices and support vector machines. Also, both indices of eye movements and pupil oscillations are determined to be significant features for predictions. This result suggests that oculo-motor indices reflect the size of objects being viewed and can be an index of prediction for the viewing sizes.
A novel wireless mesh network for indoor robotic navigation

This paper introduces a novel approach for indoor navigation systems suitable for autonomous robots using specially designed and implemented programmable Radio-Frequency beacons. These Radio-Frequency beacons are connected to each other to form an Ad-Hoc wireless mesh network and, through a newly developed network protocol which we call Dynamically Flooded Mesh Protocol, a dynamic node can be traced and its position can be localized. Practical applications include typical navigation systems for various indoor uses such as assisting rehabilitation robots to locate patients in a hospital environment.
Cloud Computing in the Financial Industry - A Road Paved with Security Pitfalls?

In the financial industry, Information Technology (IT) is an essential production factor, but also a major expense post. Because cloud computing promises to deliver IT services more flexibly and cost-efficiently, it potentially constitutes a “perfect match” for the financial sector. However, given the high degree of regulation, concerns regarding security and compliance requirements arise. In this work, we provide a detailed theoretical analysis of potential security problems in the context of cloud computing. This analysis is complemented by the initial results of an ongoing case study concerning the practical relevance of these problems in the financial industry. The analysis confirms that security issues pose notable obstacles for the adoption of cloud computing in practice, but also points to appropriate countermeasures.
Ipo-mechanisms, Monitoring and Ownership Structure

This paper analyzes the effect of different IPO mechanisms on the structure of share ownership and explores the role of underpricing and rationing in determining investors' shareholdings. We focus on the agency problem that results when large institutions are the only investors capable of monitoring the firm whereas small shareholders free-ride on these activities. The major conclusion is that some well-known aspects of IPOs may be explained as rational responses by the issuer to the existence of regulatory constraints in public capital markets. There is a two-stage offering mechanism in which the investment banker, acting in the interests of the issuer, optimally rations the allotment of shares to small investors in order to capture the benefits associated with better monitoring by institutions. Importantly, in our model, the existence of underpricing (and oversubscrip-tion) is an indication that the issuer has received a higher ex ante price than would have been obtained through a competitive Walrasian-type offering process. 1998 Elsevier Science S.A. All rights reserved.
Is there a pessimistic bias in individual beliefs ? Evidence from survey dat

The aim of this paper is to determine whether individuals exhibit a behavioral bias towards pessimism in their beliefs, in a lottery or more generally in an investment opportunities framework. For this purpose, we design a field survey on a sample of 1,540 individuals aiming at deriving a measure of pessimism from answers to hypothetical scenarios. In the context of our experiment, we observe that individuals are on average pessimistic. We analyze how pessimism is distributed among individuals, in particular in link with gender, age and income. We also analyze how our notion of pessimism is related to more general notions of pessimism already introduced in psychology. We finally estimate the possible impact of this pessimistic bias on the financial markets equilibrium risk premium.
Moths

As the number of cores integrated on a single chip continues to increase, communication has the potential to become a severe bottleneck to overall system performance. The presence of thread sharing and the distribution of data across cache banks on the chip can result in longdistance communication. Long-distance communication incurs substantial latency that impacts performance; furthermore, this communication consumes significant dynamic power when packets are switched over many Network-on-Chip (NoC) links and routers. Thread migration can mitigate problems created by long distance communication. This article presents Moths, an efficient runtime algorithm that responds automatically to dynamic NoC traffic patterns, providing beneficial thread migration to decrease overall traffic volume and average packet latency. Moths reduces on-chip network latency by up to 28.4% (18.0% on average) and traffic volume by up to 24.9% (20.6% on average) across a variety of commercial and scientific benchmarks.
6 Properties of Total K -distances 3.2 Discussion 3 Upper Bound 3.1 Proof of Lemma 3.2

We study connection networks in which certain pairs of nodes have to be connected by k edge-disjoint paths, and study bounds for the minimal sum of lengths of such k paths. We define the related notions of totalk-distance for a pair of nodes and totalk-diameter of a connection network, and study the value TDk(d) which is the maximal such totalk-diameter of a network with diameter d. These notions have applications in fault-tolerant routing problems, in ATM networks, and in compact routing in networks. We prove an upper bound on TDk(d) and a lower bound on the growth of TDk(d) as functions of k and d; those bounds are tight, (dk), when k is fixed. Specifically, we prove that TDk(d) 2k 1dk, with the exceptions TD2(1) = 3, TD3(1) = 5, and that for every k; d0 > 0, there exists (a) an integer d d0 such that TDk(d) dk=kk, and (b) ak-connected simple graphGwith diameter d such that d d0, and tdk(G) (d 2)k=kk.
Removing Gaseous NH 3 Using Biochar as an Adsorbent

Ammonia is a major fugitive gas emitted from livestock operations and fertilization production. This study tested the potential of various biochars in removing gaseous ammonia via adsorption processes. Gaseous ammonia adsorption capacities of various biochars made from wood shaving and chicken litter with different thermal conditions and activation techniques were determined using laboratory adsorption column tests. Ammonia adsorption capacities of non-activated biochars ranged from 0.15 to 5.09 mg·N/g, which were comparable to that of other commercial activated carbon and natural zeolite. There were no significant differences in ammonia adsorption capacities of steam activated and non-activated biochars even if the surface areas of the steam activated biochars were about two orders of magnitude greater than that of non-activated biochars. In contrast, phosphoric acid activation greatly increased the biochar ammonia adsorption capacity. This suggests that the surface area of biochar did not readily control gaseous NH 3 adsorption. Ammonia adsorption capacities were more or less linearly increased with acidic oxygen surface groups of non-activated and steam-activated biochars. Phosphoric acid bound to the acid activated biochars is suspected to contribute to the exceptionally high ammonia adsorption capacity. The sorption capacities of virgin and water-washed biochar samples were not different, suggesting the potential to regenerate spent biochar simply with water instead of energy- and capital-intensive steam. The results of this study suggest that non-activated biochars can successfully replace commercial activated carbon in removing gaseous ammonia and the removal efficiency will greatly increase if the biochars are activated with phosphoric acid.
Visualization of Data Structure on MVC Framework

Data Structure is a core course for students majored in Computer Science, and experiment of Data Structure is an important process for learning basic Computer Science concepts. To mastering it better, a visible experimental Data Structure framework was designed for that purpose; students who make uses of this framework could complete the visible Data Structure's experiments very easily. According to OO principles, the framework were designed deliberately that made it more flexible and highly usable through Data Structure’s View decoupling from Data Structure’s Model. Furthermore, the use of DIP makes the framework's implementation decoupled from the platform which it is implemented on, thus makes the framework very well portable and reusable.
On the Construction of Classes of Suffix Trees for Square Matrices: Algorithms and Applications

Given an n × n TEXT matrix with entries defined over an ordered alphabet σ, we introduce 4n−1 classes of index data structures for TEXT. Those indices are informally the two-dimensional analog of the suffix tree of a string [15], allowing on-line searches and statistics to be performed on TEXT. We provide one simple algorithm that efficiently builds any chosen index in those classes in O(n2 log n) worst case time using O(n2) space. The algorithm can be modified to require optimal O(n2) expected time for bounded σ.