Miracle-dz/UniFAR-FTUs huggingface dataset:
Postmenopausal estrogen–progestin therapy and breast cancer: a clinical response to epidemiological reports

In the 26 January 2000 issue of the Journal of the American Medical Association, Schairer and colleagues from the National Cancer Institute reported the results of a retrospective cohort study, comparing the risks of breast cancer associated with postmenopausal hormone regimens of estrogen alone and a combination of estrogen and progestin’. The follow-up data were derived from the Breast Cancer Detection Demonstration Project, a nationwide breast cancer screening program. Because hormone information, as well as other statistics, was collected retrospectively, this was not a true prospective cohort study. The current study expanded a previous report2, extending case diagnosis from 1989 to 1995. The reported relative risks were adjusted for age, age at menopause, education, body mass index and, most importantly, mammographic screening. Adjustments for age at first live birth, family history of breast cancer, history of benign breast disease and clinical breast examinations did not change the results. The authors concluded that an estrogen-progestin regimen increases the risk of breast cancer more than with estrogen alone. Important observations are summarized in Table 1 (recent use is defined as past use within the previous 4 years). By definition, the only relative risk that reached statistical significance was that with the last group, current and recent users of estrogen-progestin. Recent users of combined estrogen and progestin were mainly users of progestin for fewer than 15 days per cycle (mostly 10 days), Table 1 Relative risk (RR) of breast cancer, estrogenalone regimen versus estrogen-progestin regimen. Data from reference 1
Personality Dispositions in the Prediction of Posttraumatic Stress Reactions

The study examined the relationship of extraversion, neuroticism, and impulsiveness with posttraumatic stress reactions of avoidance and intrusion. 36 outpatients from a Trauma Unit at a major metropolitan hospital in Melbourne (Victoria), and 24 age-matched controls completed the Impact of Event Scale, the Eysenck Personality Questionnaire Revised, and the Impulsivity Questionnaire. Intrusion symptoms were predicted both by Extraversion and Neuroticism, after controlling for age and gender, with Neuroticism making a stronger contribution to the prediction. The only predictor of Avoidance symptoms was Neuroticism. Impulsivity correlated with Intrusion symptoms but predicted them only in the trauma group. This finding, along with the observed positive associations of Extroversion with both posttraumatic symptoms, lends support to Gray's model of dispositions influencing responses to trauma, suggesting that impulsive (extroverted) neurotics are more vulnerable to posttraumatic stress than introverted ones.
Estimation of Parameters in a Bivariate Generalized Exponential Distribution Based on Type-II Censored Samples

In this article, we discuss the maximum likelihood estimation and Bayesian estimation procedures for estimating the parameters in an absolute continuous bivariate generalized exponential distribution based on Type-II censored samples. A Markov chain Monte Carlo method is applied to compute the Bayes estimates. We also propose a method to obtain the initial estimates of the parameters for the required iterative algorithm. A simulation study is used to evaluate the performance of the proposed estimation procedures. Two real data examples are utilized to illustrate the methodology developed in this manuscript.
Identification of pedestrian attributes using deep network

In the person re-identification across multiple camera research field, attributes of the pedestrian are important cues to differentiate the appearance of each identity. In this work, ten types of attributes are considered as defined in the DukeMTMC-attribute dataset. A custom deep network architecture is proposed to perform the identification process. Furthermore, experiments were carried out to assess the system compared to other pre-trained networks which are commonly used in other literature. The results show that the proposed network achieve better performance compared to the others.
A persistent graphics facility for the ICL PERQ

The facilities of the PS‐algol programming language are described in this paper to show how they may be used to provide an integrated programming support environment. The persistent store mechanism and the secure transaction facilities provide the basic environment in which an integrated system may be implemented. In particular the paper makes use of the data type picture of PS‐algol to show how such an environment may be built for a graphics system ideal for use with a medium range computer workstation. An implementation of a picture editor on the ICL PERQ workstation is described to show the utility of the system.
Evaluation of linkage disequilibrium on the Xq13.3 region: Comparison between the Azores islands and mainland Portugal

The design of genetic studies of complex diseases is dependent on the extent and distribution of linkage disequilibrium (LD) across the genome in different populations. Here, we characterize the extent of LD in the Azores (Western, Central, and Eastern island groups) and mainland Portugal populations. LD was evaluated in the Xq13.3 region by genotyping eight STR markers spanning 20.9 Mb. Standardized multiallelic disequilibrium coefficient (D′) analysis indicates that the Western group presents higher values when compared with the Central and Eastern groups. However, all island groups show values of D′ lower than 0.5 and 0.33, suggesting no extensive LD in these populations. Taken together, the data show that the Azorean population presents a lower D′ (0.142) than mainland Portugal (0.226). Although, both populations do not show extensive LD, the easy reconstruction of large pedigrees in the Azorean population is a valuable resource for the fine mapping of disease genes. Am. J. Hum. Biol., 2008. © 2008 Wiley‐Liss, Inc.
Prolonged Allograft Survival in TNF Receptor 1-Deficient Recipients Is Due to Immunoregulatory Effects, Not to Inhibition of Direct Antigraft Cytotoxicity1

TNF-α and lymphotoxin (LT)α have been shown to be important mediators of allograft rejection. TNF-R1 is the principal receptor for both molecules. Mice with targeted genetic deletions of TNF-R1 demonstrate normal development of T and B lymphocytes but exhibit functional defects in immune responses. However, the role of TNF-R1-mediated signaling in solid organ transplant rejection has not been defined. To investigate this question, we performed vascularized heterotopic allogeneic cardiac transplants in TNF-R1-deficient (TNF-R1−/−) and wild-type mice. Because all allografts in our protocol expressed TNF-R1, direct antigraft effects of TNF-α and LTα were not prevented. However, immunoregulatory effects on recipient inflammatory cells by TNF-R1 engagement was eliminated in TNF-R1−/− recipients. In our study, cardiac allograft survival was significantly prolonged in TNF-R1−/− recipients. Despite this prolonged allograft survival, we detected increased levels of CD8 T cell markers in allografts from TNF-R1−/− recipients, suggesting that effector functions, but not T cell recruitment, were blocked. We also demonstrated the inhibition of multiple chemokines and cytokines in allografts from TNF-R1−/− recipients including RANTES, IFN-inducible protein-10, lymphotactin, and IL-1R antagonist, as well as altered levels of chemokine receptors. We correlated gene expression with the physiologic process of allograft rejection using self-organizing maps and identified distinct patterns of gene expression in allografts from TNF-R1−/− recipients. These findings indicate that in our experimental system TNF-α and LTα exert profound immunoregulatory effects through TNF-R1.
An Integrated Planar Array of Ultrafast THz Y–Ba–Cu–O Detectors for Spectroscopic Measurements

Detectors made from the high-Tc superconductor YBa2Cu3O7-x are well suited to detect the high-intensity pulsed-terahertz (THz) radiation emitted by synchrotron light sources and free-electron lasers due to their fast response times. We propose a detection system consisting of an integrated planar array with four superconducting detectors coupled to narrowband double-slot antennas for the frequencies 140 GHz, 350 GHz, 650 GHz, and 1.02 THz, respectively. With the ability for spectroscopic measurements, it has the potential to further improve the understanding of accelerator science and the future application of THz radiation. In this paper, we present a new antenna and array design that has been especially optimized to match the high impedance of sub-μm-sized detector bridges needed for high sensitivities, and measurements performed at the Diamond Light Source.
Spreading Good Words: The Mediating Effect of Brand Loyalty between Role Model Influence and Word of Mouth

Many businesses around the world spend millions of dollars every year on celebrity endorsement deals in order to associate their products or brands with some of the biggest names in sport. Indeed, in a crowded media environment, marketers face the challenge of attracting consumers’ attention, and one way of doing this is to use celebrities because they have the ability to break through this media clutter, contribute to brand name recognition, and create meaning for their products. The aim of this study is to examine how sport celebrities acting as role models influence young customers’ behavioral intentions; namely, word-of-mouth behavior and brand loyalty. A convenience sampling was drawn from young adults, with 468 valid responses. Results indicate that endorsements of athlete role models have a positive influence on young adults’ positive word-of-mouth behavior and brand loyalty. Moreover, the study found that brand loyalty partially mediated the relationship between role model influence and positive word of mouth. This study provides useful insights on how young consumers in Hong Kong respond to the use of sport celebrities in marketing programs. Keywords: Sport Celebrities, Word of Mouth, Role Model, Brand Loyalty To cite this document: Mei-Chi Macy Wong, Man-Lung Jonathan Kwok, and Mei Mei Lau, "Spreading Good Words: The Mediating Effect of Brand Loyalty between Role Model Influence and Word of Mouth", Contemporary Management Research, Vol.11, No.4, pp. 313-326, 2015. Permanent link to this document: http://dx.doi. org/10.7903/cmr.13838
Potential reduction interior point algorithm for absolute value equations

Potential reduction interior point algorithm is proposed for solving the NP-hard absolute value equations (AVE) Au - |u| = b. Under the condition that all the singular values of A are not less than one, the existence and uniqueness theorem of the solution to the AVE is presented by formulating absolute value equation as monotone linear complementary problem. Then we proposed potential reduction interior point algorithm to AVE based on the Newton direction and centering direction. We establish finite convergence of the method. Preliminary numerical results indicate that the potential reduction interior point method is promising.
A preliminary analysis of interactive effects between network structure and decision criteria on the global behavior

Although, it is said that the society consists of individually-motivated agents, a decision making of each agent's is affected more or less by that of other agents'. In this paper, we focus on the possible factors that influence to the agents' interactions and manage the behavior of whole system. We take up three factors, i.e.; a payoff structure, an agent's decision criterion and a network structure. These three factors seem largely affect the behavior of multiagent system, and they seem to be crucial in terms of finding the way to make whole behavior a desirable condition. We show the empirical results of agents' behaviors in the some typical types of network structures, such as small-world network and random network where each agent has two alternative actions, decides rationally based on its own decision criterion, and is partially affected by the actions of its neighbors. The results show that these three factors seem important to manage system behavior, especially a network structure affects agent's behavior more than the individual decision criteria does, in Stag-Hunt game.
Cyber physical power system modeling and simulation based on graph computing

As an extension of Cyber Physical System, Cyber Physical Power System (CPPS) is to describe a communication, computing, control and physical coupled system for the power grid. While the computational complexity increases, it is not the best option to utilize relational database and matrix computation to implement real-time processing and analysis in CPPS. The graph computing has demonstrated its capabilities in managing large-scale data and executing the distributed parallel computation algorithms. This paper firstly uses graph database and graph computing to model and simulate the CPPS. The three-layer framework of CPPS is implemented with the graph database. The efficiency of information collection and command transmission is analyzed based on graph computing. The simulation shows that the time latency's calculation is significantly simplified by using graph computing which converts matrix computation problem to a graph traversal problem.
An Adaptive Information Quantity-Based Broadcast Protocol for Safety Services in VANET

Vehicle-to-vehicle communication plays a significantly important role in implementing safe and efficient road traffic. When disseminating safety messages in the network, the information quantity on safety packets changes over time and space. However, most of existing protocols view each packet the same to disseminate, preventing vehicles from collecting more recent and precise safety information. Hence, an information quantity-based broadcast protocol is proposed in this paper to ensure the efficiency of safety messages dissemination. In particular, we propose the concept of emergency-degree to evaluate packets’ information quantity. Then we present EDCast, an emergency-degree-based broadcast protocol. EDCast differentiates each packet’s priority for accessing the channel based on its emergency-degree so as to provide vehicles with more safety information timely and accurately. In addition, an adaptive scheme is presented to ensure fast dissemination of messages in different network condition. We compare the performance of EDCast with those of three other representative protocols in a typical highway scenario. Simulation results indicate that EDCast achieves higher broadcast efficiency and less redundancy with less delivery delay. What we found demonstrates that it is feasible and necessary for incorporating information quantity of messages in designing an efficient safety message broadcast protocol.
Disruption of neurogenesis by amyloid β‐peptide, and perturbed neural progenitor cell homeostasis, in models of Alzheimer's disease

Neurogenesis occurs in the adult mammalian brain and may play roles in learning and memory processes and recovery from injury, suggesting that abnormalities in neural progenitor cells (NPC) might contribute to the pathogenesis of disorders of learning and memory in humans. The objectives of this study were to determine whether NPC proliferation, survival and neuronal differentiation are impaired in a transgenic mouse model of Alzheimer's disease (AD), and to determine the effects of the pathogenic form of amyloid β‐peptide (Aβ) on the survival and neuronal differentiation of cultured NPC. The proliferation and survival of NPC in the dentate gyrus of the hippocampus was reduced in mice transgenic for a mutated form of amyloid precursor protein that causes early onset familial AD. Aβ impaired the proliferation and neuronal differentiation of cultured human and rodent NPC, and promoted apoptosis of neuron‐restricted NPC by a mechanism involving dysregulation of cellular calcium homeostasis and the activation of calpains and caspases. Adverse effects of Aβ on NPC may contribute to the depletion of neurons and cognitive impairment in AD.
Quinolones share a common interaction domain on topoisomerase II with other DNA cleavage-enhancing antineoplastic drugs.

Topoisomerase II is the cytotoxic target for a number of clinically relevant antineoplastic drugs. Despite the fact that these agents differ significantly in structure, a previous study [Corbett, A. H. , Hong, D. , & Osheroff, N. (1993) J. Biol. Chem. 268, 14394-14398] indicated that the site of action for etoposide on topoisomerase II overlaps those of other DNA cleavage-enhancing drugs. Therefore, to further define interactions between drugs and the enzyme, the functional interaction domain (i.e., interaction domain defined by drug function) for quinolones on Drosophila topoisomerase II was mapped with respect to several classes of antineoplastic agents. This was accomplished by characterizing the effects of ciprofloxacin (a gyrase-targeted antibacterial quinolone) on the ability of etoposide, amsacrine, genistein, and the antineoplastic quinolone, CP-115,953, to enhance topoisomerase II-mediated DNA cleavage. Although ciprofloxacin interacts with the eukaryotic type II enzyme, it shows little ability to stimulate DNA cleavage. Ciprofloxacin attenuated cleavage enhancement by all of the above drugs. Similar results were obtained using a related quinolone, CP-80,080, as a competitor. In addition, kinetic analysis of DNA cleavage indicated that ciprofloxacin is a competitive inhibitor of CP-115,953 and etoposide. Finally, ciprofloxacin inhibited the cytotoxic actions of CP-115,953 and etoposide in mammalian cells to an extent that paralleled its in vitro attenuation of cleavage. These results strongly suggest that several structurally disparate DNA cleavage-enhancing antineoplastic drugs share an overlapping site of action on topoisomerase II. Based on the results of drug competition and mutagenesis studies, a model for the drug interaction domain on topoisomerase II is described.
Does Disruption of Integrins Play a Role on Ebola Virus Hemorrhagic Fever Syndrome

Heterodimeric receptors of the beta1 and beta3 integrin families are shown to play an important role in platelet adhesion and aggregation, which is critical for homeostasis and thrombosis [11]. In particular, GPIIb/IIIa integrant complex on platelets binds to collagen, fibrinogen and Von Willebrand Factor, resulting in platelet activation. This activation triggers the coagulation cascade resulting in blood clot formation and hemorrhage control. Ebola virus glycoprotein’s (GP) are shown to interact with Integrins (beta1) and may be involved in the virus entry. Ebola GP expression also led to the down regulation of integrins [12]. Integrand αV was required for efficient GP-mediated transduction and EBOV infection of macrophages [13]. Binding of Ebola virus GP to aVbIII integrins is also shown to prime the endosomal cathepsins, a necessary step in the Ebola virus entry [14]. VP35 protein (required for viral transcription) of Ebola virus contains RGD (Arg-Gly-Asp) and several RGD like motifs in the Table 1. Interestingly, RGD/KGD peptide motif is a conserved feature of low molecular weight non-enzymatic proteins called as “disinterring” present in snake venoms [15]. These molecules bind to the platelet surface integrins (such as alphaII-beta3), blocking the interaction of the platelets with the natural substrates such as fibrinogen and von Willebrand factor. This blockage results in potential inhibition of platelet aggregation [16] (and thus preventing fibrin clots), a crucial step in homeostasis. Due to the presence of conserved RGD and RGD like motifs in VP35, it is possible that VP35 protein might potentially block/delay platelet aggregation. Delayed platelet aggregation might inhibit blood clotting in response to vascular injury/altered vascular barrier observed in the Ebola virus infected patients, thus exacerbating hemorrhages. Significantly decreased platelet aggregation observed in experimentally infected rhesus macaques supports this theory [17]. Table 1: Arg-Gly-Asp (RGD) and similar motifs present in the VP35 protein of Ebola virus (Accession number AAM76032) with the amino acid residue numbers are shown in the figure. Amino acids are represented by single alphabets according to the standard nomenclature.
Effectiveness of Ford’s belt reminder system in increasing seat belt use

Objectives: The study investigated the effectiveness in increasing seat belt use of Ford’s belt reminder system, a supplementary system that provides intermittent flashing lights and chimes for five minutes if drivers are not belted. Methods: Seat belt use of drivers in relatively new cars with and without the reminder system was unobtrusively observed as vehicles were brought to dealerships for service. Results: Overall use rates were estimated at 71% for drivers in vehicles without the reminder system and 76% for drivers in vehicles with belt reminders (p<0.01). Conclusions: Seat belt use is relatively low in the United States. The present study showed that vehicle based reminder systems can be at least modestly effective in increasing belt use, which may encourage further development of such systems.
Features Extraction from Speech for Emotion Recognition

Emotions form a basis of analyzing what an individual is feeling or experiencing at any given point of time. Emotion recognition will thus help us evaluate the temperament of an individual. In this paper emotion recognition is carried out by extracting certain necessary features from speech. Thus speech is forming the basis of emotion recognition. Emotion recognition is divided into two parts: feature extraction and pattern matching. Here feature extraction is carried out using Mel Frequency Cepstral Coefficients (MFCC) and pattern matching is done using Hidden Markov Model (HMM).
Longitudinal Family and Peer Group Effects on Violence and Nonviolent Delinquency

Explored the longitudinal relations between family relationships and parenting characteristics, violence and nonviolent delinquency of peers, and individual delinquency and violence using data from a sample of 246 adolescent male participants in the Chicago Youth Development Study. Family and parenting characteristics were measured when participants averaged 12 years of age, peer group offending when participants averaged 14 years of age, and individual offending when participants averaged 17 years of age. Family characteristics and parenting were represented by an ordinal variable ranging from exceptional families characterized by emotional closeness, strong beliefs about family, and good parenting skills, to struggling families characterized by a lack of emotional cohesion, deviant beliefs, and poor parenting. Peers' violence but not nonviolent delinquency predicted individual violence and nonviolent delinquency, and family types predicted peer deviance as well as individual violence and delinquency. Effects varied somewhat due to gang membership and ethnicity.