Miracle-dz/UniFAR-FTUs huggingface dataset:
Adult transition from at-risk drinking to alcohol dependence: the relationship of family history and drinking motives.

BACKGROUND Prospective studies have not previously examined whether a family history of alcoholism and drinking motives conjointly predict a diagnosed DSM-IV alcohol abuse or dependence in adults, despite a large literature that each is associated with alcohol consumption. The focus of this study is the conjoint, prospective examination of these risk factors in a 10-year longitudinal study of adults who were at-risk drinkers at baseline. METHODS Prospective, population-based cohort of drinkers aged 18 or older from a Northeastern U.S. area initially evaluated for history of alcohol use disorders and drinking motives in 1991 to 1992. New onset dependence was studied in those who never met the criteria for alcohol dependence at baseline (n = 423), and new onset abuse was studied in those who never met the criteria for alcohol abuse at baseline (n = 301) and who did not develop dependence during the follow-up. RESULTS Family history significantly interacted with 2 baseline drinking motives in predicting new onsets of DSM-IV alcohol dependence: drinking to reduce negative affect (OR 3.38; 95% CI 1.05, 10.9) and drinking for social facilitation (OR 3.88; CI 1.21, 12.5). Effects were stronger after conditioning the drinking motives on having a positive family history of alcoholism. In contrast, in predicting new onsets of alcohol abuse, drinking motives did not have direct effects or interact with family history. CONCLUSIONS Those who drank to reduce negative affect or for social facilitation at baseline were at greater risk of alcohol dependence 10 years later if they also had a family history of alcoholism. These results suggest an at-risk group that can be identified prior to the development of alcohol dependence. Further, the findings suggest utility in investigating the interaction of drinking motives with measured genetic polymorphisms in predicting alcohol dependence.
Learning from neural control in motor systems

Tremendous efforts have been made to interpret the learning mechanism of motor systems. Based on the experimental results, this paper presents a biologically-plausible computational model for motor learning and control system by using a newly developed deterministic learning theory. In the computational model, the localized Gaussian neural network is employed. By analyzing the properties of the network structure, motor learning ability is implemented dynamically during the process of controlling repeatable movements, and internal model for external force field acting upon the limbs is constructed in a local region along the periodic trajectory. The significance of this paper is that truly learning ability of the internal model for motor control is demonstrated in a dynamic and deterministic manner. Theoretical analysis and numerical simulation show that this novel model can not only provide sound explanations to many experiments of motor learning and control, but also offer a reasonable and feasible solution for the development of smarter robots.
Virtual Community Based Marketing: A Conceptual Model for Tourism Industry

Nowadays, virtual community is one of the fastest developing phenomenon in the cyberspace, more and more Internet users participate communities to find information, entertainment, even for psychological and social needs. The interactivity among the virtual community members had already played important roles when consumers want to do some decision-making. This paper propose a conceptual virtual community based marketing model for the tourism industry, which combine the futures of virtual community with e-marketing, to help and encourage enthusiasm customers to act as a voluntary marketers.
Hölder regularity for a non-linear parabolic equation driven by space-time white noise

We consider the non-linear equation $T^{-1} u+\partial_tu-\partial_x^2\pi(u)=\xi$ driven by space-time white noise $\xi$, which is uniformly parabolic because we assume that $\pi'$ is bounded away from zero and infinity. Under the further assumption of Lipschitz continuity of $\pi'$ we show that the stationary solution is - as for the linear case - almost surely H\"older continuous with exponent $\alpha$ for any $\alpha<\frac{1}{2}$ w. r. t. the parabolic metric. More precisely, we show that the corresponding local H\"older norm has stretched exponential moments. On the stochastic side, we use a combination of martingale arguments to get second moment estimates with concentration of measure arguments to upgrade to Gaussian moments. On the deterministic side, we first perform a Campanato iteration based on the De Giorgi-Nash Theorem as well as finite and infinitesimal versions of the $H^{-1}$-contraction principle, which yields Gaussian moments for a weaker H\"older norm. In a second step this estimate is improved to the optimal H\"older exponent at the expense of weakening the integrability to stretched exponential.
STATE ESTIMATION OF SOFC/GT HYBRID SYSTEM USING UKF

Abstract A description of a Solid Oxide Fuel Cell (SOFC) combined Gas Turbine (GT) hybrid system is given. Modeling of all the components of the hybrid system is briefly presented. A decentralized control structure using PI controllers is designed and is considered as a part of the system. An Unscented Kalman Filter (UKF) is applied to estimate the state vector and the simulation results are presented.
A new adaptive P&O MPPT algorithm based on FSCC method for photovoltaic system

Maximum power point tracking (MPPT) techniques are used in photovoltaic (PV) systems to extract maximum power from the PV module. There are number of techniques available in literature. In this paper, an adaptive P&O MPPT algorithm is proposed using conventional perturb and observe (P&O) and fractional short circuit current (FSCC) methods. P&O method is widely used because of its low-cost and ease of implementation. The P&O method oscillates close to maximum power point (MPP), when atmospheric conditions are constant or slowly varying. However, when irradiance and temperature are changing rapidly, this method fails to track MPP with rapid speed. In order to consider rapidly varying atmospheric conditions an adaptive control algorithm is proposed, by measuring the short circuit current at different irradiance levels and temperatures. In this proposed method current perturbation is considered instead of voltage perturbation. The proposed method has faster dynamics and improved stability compared to the conventional P&O method. The effectiveness of proposed MPPT algorithm is verified using digital simulations.
The Deleterious Effect of an Insertion Sequence Removing the Last Twenty Percent of the Essential Escherichia coli rpsA Gene Is Due to mRNA Destabilization, Not Protein Truncation

ABSTRACT Ribosomal protein S1, the product of the essential rpsA gene, consists of six imperfect repeats of the same motif. Besides playing a critical role in translation initiation on most mRNAs, S1 also specifically autoregulates the translation of its own messenger. ssyF29 is a viable rpsA allele that carries an IS10R insertion within the coding sequence, resulting in a protein lacking the last motif (S1ΔC). The growth of ssyF29 cells is slower than that of wild-type cells. Moreover, translation of a reporter rpsA-lacZ fusion is specifically stimulated, suggesting that the last motif is necessary for autoregulation. However, in ssyF29 cells the rpsA mRNA is also strongly destabilized; this destabilization, by causing S1ΔC shortage, might also explain the observed slow-growth and autoregulation defect. To fix this ambiguity, we have introduced an early stop codon in the rpsA chromosomal gene, resulting in the synthesis of the S1ΔC protein without an IS10R insertion (rpsA ΔC allele). rpsA ΔC cells grow much faster than their ssyF29 counterparts; moreover, in these cells S1 autoregulation and mRNA stability are normal. In vitro, the S1ΔC protein binds mRNAs (including its own) almost as avidly as wild-type S1. These results demonstrate that the last S1 motif is dispensable for translation and autoregulation: the defects seen with ssyF29 cells reflect an IS10R-mediated destabilization of the rpsA mRNA, probably due to facilitated exonucleolytic degradation.
Algorithm and VLSI architecture for linear MMSE detection in MIMO-OFDM systems

The paper describes an algorithm and a corresponding VLSI architecture for the implementation of linear MMSE detection in packet-based MIMO-OFDM communication systems. The advantages of the presented receiver architecture are low latency, high-throughput, and efficient resource utilization, since the hardware required for the computation of the MMSE estimators is reused for the detection. The algorithm also supports the extraction of soft information for channel decoding
New method of setting the maximum crowbar resistance for doubly-fed induction generators under grid faults

In present doubly-fed induction generator (DFIG) wind turbines are widely remain connected to the grid network during faults, so-called Fault ride through (FRT). A crowbar is generally used in the rotor circuit protection which will help to support the FRT capability of the DFIG. In this paper, the behaviors of the DFIG system under three-phase faults influenced by the value of crowbar resistors are investigated in the Matab environment. The simulation results show that rotor current rise is up to 4.5 pu in case of without crowbar protection, while the peak values of rotor currents have been reduced to 2 pu after using the crowbar resistance value at least 30 times of rotor resistance. The new method of setting the maximum crowbar resistance is proposed. The maximum value of crowbar resistance should be limited at 70 times of rotor resistance in order to protect the over-voltage of rotor side converter from high rotor currents, and also avoid high currents flowing through the rotor side converter to DC-link capacitor.
The Role of Ethnic Contact in Facilitating Interactions Between Minority and Han College Students

Abstract At a multiethnic school in the northwest region, the author chose 670 minority and Han college students as study subjects and investigated the relationships among the three variables of ethnic contact, implicit ethnic theories (essentialism vs. constructivism), and attitudes on interaction. The study results show that ethnic contact can facilitate positive ethnic interaction attitudes and mitigate the negative effect of ethnic essentialist beliefs in ethnic interactions. The author advocates that building a tolerant and open ethnic education system is the only way to create opportunities for contact and interaction between students of each ethnic group, weaken ethnic essentialist beliefs, and facilitate ethnic interaction and relations.
Are We Ready for “Radical Leisure”?

ABSTRACT For that past 40 years, hundreds of articles have been published in the major journals that examine leisure, recreation, and parks in North America, for example, the Journal of Leisure Research, Leisure Sciences, and Journal of Recreation and Park Administration. Yet, we are no closer to influencing policy, shifting public opinion, or persuading ourselves and each other that the idea of leisure is something that we should value, embrace, and fight for in terms of a shorter work week and, for that matter, a shorter work life. What is our professional commitment to promoting leisure, advocating for shorter work weeks and for mandatory vacation time? This article explores issues related to leisure, resistance and the hegemony of work.
Pattern Formation Based on Potential Field in Real-Time Strategy Games

Real-time strategy (RTS) game is a very popular genre of computer games. In RTS games, the units need to navigate the environment, surround the enemy, and attack targets. Pattern formation of the units plays an important role in the tactics of RTS games. In this paper, we propose generating the pattern formation based on potential field, which is widely used in collision avoidance. The proposed method controls the movement of units and adjusts their formation considering the number and types of targets. More specifically, once a unit detects the target, it will move in accordance with other units to surround the targets in an attacking distance. The simulation results on Star Craft show the capability of the proposed method to generate pattern formation and adapt to the number and types of enemies.
CLGVSM: Adapting Generalized Vector Space Model to Cross-lingual Document Clustering

Cross-lingual document clustering (CLDC) is the task to automatically organize a large collection of cross-lingual documents into groups considering content or topic. Different from the traditional hard matching strategy, this paper extends traditional generalized vector space model (GVSM) to handle cross-lingual cases, referred to as CLGVSM, by incorporating cross-lingual word similarity measures. With this model, we further compare different word similarity measures in cross-lingual document clustering. To select cross-lingual features effectively, we also propose a softmatching based feature selection method in CLGVSM. Experimental results on benchmarking data set show that (1) the proposed CLGVSM is very effective for cross-document clustering, outperforming the two strong baselines vector space model (VSM) and latent semantic analysis (LSA) significantly; and (2) the new feature selection method can further improve CLGVSM.
Randomized Large Neighborhood Search for Cumulative Scheduling

This paper presents a Large Neighborhood Search (LNS) approach based on constraint programming to solve cumulative scheduling problems. It extends earlier work on constraint-based randomized LNS for disjunctive scheduling as reported in (Nuijten & Le Pape 1998). A breakthrough development in generalizing that approach toward cumulative scheduling lies in the presented way of calculating a partial-order schedule from a fixed start time schedule. The approach is applied and tested on the Cumulative Job Shop Scheduling Problem (CJSSP). An empirical performance analysis is performed using a well-known set of benchmark instances. The described approach obtains the best known performance reported to date on the CJSSP. It not only finds better solutions than ever reported before for 33 out of 36 open instances, it also proves to be very robust on the complete set of test instances. Furthermore, among these 36 open instances, one is now closed. As the approach is generic, it can be applied to other types of scheduling problems, for example problems including resource types like reservoirs and state resources, and objectives like earliness/tardiness costs and resource allocation costs.
Stroke Risk After Posterior Circulation Stroke/Transient Ischemic Attack and its Relationship to Site of Vertebrobasilar Stenosis: Pooled Data Analysis From Prospective Studies

Background and Purpose— Recent prospective studies have shown vertebrobasilar (VB) stenosis predicts stroke risk in posterior circulation stroke and transient ischemic attack. It is unclear whether this association is independent of other risk factors, and whether intracranial or extracranial stenosis confers different risks. Methods— A pooled individual patient analysis of data from 2 prospective studies was performed in 359 patients presenting with VB transient ischemic attack or stroke. Contrast-enhanced magnetic resonance angiography, or computed tomography angiogram, and clinical follow-up were available in 323 patients. Risk of stroke was calculated from any VB transient ischemic attack/stroke in the month before the presenting episode (first event) and from the presenting event. A systematic review of similar prospective studies was performed. Results— Ninety-day risk of stroke from the first event was 24.6% in patients with VB stenosis versus 7.2% in those without (odds ratio, 4.2; 95% confidence interval, 2.1–8.6; P<0.0001). Risk was higher (33%) with intracranial (odds ratio, 6.5; 2.8–15.0; P<0.0001) than extracranial stenosis (16.2%; odds ratio, 2.5; 0.9–6.8; P=0.06). Risk from the presenting event was 9.6% in patients with stenosis versus 2.8% in those without (odds ratio, 3.7; 1.2–11.0; P=0.012), and again the risk was higher with intracranial stenosis. Cox regression showed the risk associated with VB stenosis was independent of other cardiovascular risk factors. The systematic review identified only 1 other report, which included only 6 patients. Conclusions— Symptomatic VB stenosis, particularly intracranial stenosis, is a strong independent predictor of stroke recurrence. The high early risk of stroke provides a strong rationale for randomized trials to determine whether stenting can reduce risk.
Facial Expression Recognition in JAFFE Dataset Based on Gaussian Process Classification

The Gaussian process (GP) approaches to classification synthesize Bayesian methods and kernel techniques, which are developed for the purpose of small sample analysis. Here we propose a GP model and investigate it for the facial expression recognition in the Japanese female facial expression dataset. By the strategy of leave-one-out cross validation, the accuracy of the GP classifiers reaches 93.43% without any feature selection/extraction. Even when tested on all expressions of any particular expressor, the GP classifier trained by the other samples outperforms some frequently used classifiers significantly. In order to survey the robustness of this novel method, the random trial of 10-fold cross validations is repeated many times to provide an overview of recognition rates. The experimental results demonstrate a promising performance of this application.
High-precision geometry of a double-pole pulsar

High time resolution observations of PSR B0906-49 (or PSR J0908-4913) over a wide range of frequencies have enabled us to determine the geometry and beam shape of the pulsar. We have used the position angle traverse to determine highly constrained solutions to the rotating vector model which shows conclusively that PSR B0906-49 is an orthogonal rotator. The accuracy obtained in measuring the geometry is unprecedented. This may allow tests of high-energy emission models, should the pulsar be detected with Gamma-Ray Large Area Space Telescope. Although the impact parameter β appears to be frequency dependent, we have shown that this is due to the effect of interstellar scattering. As a result, this pulsar provides some of the strongest evidence yet that the position angle swing is indeed related to a geometrical origin, at least for non-recycled pulsars. We have shown that the beam structures of the main pulse and interpulse in PSR B0906-49 are remarkably similar. The emission comes from a height of ∼230 km, and is consistent with originating in a patchy cone located about halfway to the last open field lines. The rotation axis and direction of motion of the pulsar appear to be aligned.
Collision avoidance of the aircraft in the 3 dimensional space

Recently, domestic and overseas LCC's (Low Cost Carriers) increase air-traffic in Japan. However, we have narrow domain and many airports. Large training areas of USAF or JSDF also exist in the airspace. In the present circumstances, the flight safety is kept by separating airways from training areas. In the near future, increasing number of flights will make severe situation. In this paper, we try to optimize the evasive courses of aircraft in the narrow airspace. We formulate collision avoidance as a nonlinear programming problem and analyzed numerically. The optimal solution we obtained show courses in narrower spaces than ordinary ones. The assumption of limited airspaces is useful in severe situation like bad weather. Thus, this study might be a good proposal to decide direction for collision avoidance.
The financial burden of psychosocial workplace aggression: A systematic review of cost-of-illness studies

ABSTRACT Understanding the economic impact of psychological and social forms of workplace aggression to society could yield important insights into the magnitude of this occupational phenomenon. The objective of this systematic review was to collate, summarise, review and critique, and synthesise the cost of psychosocial workplace aggression at the individual- and societal-level. A peer-reviewed research protocol detailing the search strategy, study selection procedures and data extraction process was developed a priori. Both the academic and grey literatures were examined. To allow for basic comparison, all costs were converted and adjusted to reflect 2014 US dollars. Twelve studies, from 5 national contexts, met the inclusion criteria and were reviewed: Australia (n = 2), Italy (n = 1), Spain (n = 1), the United Kingdom (n = 3) and the United States (n = 5). The annual cost of psychosocial workplace aggression varied substantially, ranging between $114.64 million and $35.9 billion. Heterogeneity across studies was found, with noted variations in stated study aims, utilised prevalence statistics and included costs. The review concludes that existing evidence attests to the substantial cost of psychosocial workplace aggression to both the individual and society, albeit such derived estimates are likely gross under-estimates. The findings highlight the importance of interpreting such figures within their conceptual and methodological contexts.
Adding Distributed Trust Management to Shibboleth

This paper analyses the simplicity of the trust model adopted by the Shibboleth infrastructure and describes an enhanced distributed trust model and authorisation decision making capability that can be implemented by using X.509 attribute certificates and a Privilege Management Infrastructure such as PERMIS. Several different combinatorial approaches can be taken, depending upon the trust models adopted by the Shibboleth target and origin sites, and each of these are described. The paper also discusses whether user privacy, which is strongly protected by Shibboleth, is bound to be weakened by the use of X.509 attribute certificates rather than simple attributes, and concludes that this does not have to be the case.
Community Engagement and Cultural Building Projects

ABSTRACT This study explores whether community engagement efforts among nonprofit arts organizations pursuing major building projects are effective mechanisms for generating support from other organizations. Specifically, the study analyzes the degree to which context—such as the perceptions of the goals of community engagement efforts, competitive environment, and institutional characteristics—affect managers' perceptions of community engagement strategies. The study uses data on thirteen different cultural building projects in counties across the United States between 1994 and 2008 coupled with data on 444 arts organizations in the same county. The results of this study indicate that managers of nonprofit arts organizations perceive other organizations' community engagement efforts differently based on their own perceptions of the goals of those efforts, their own organization's competitive status, and perhaps even the age of their organization.
Resonant rectifier for piezoelectric sources

A new rectification scheme is proposed for increasing the available output power of electrical generators that have a high output capacitance. The new rectifier could be useful in increasing the output power of piezoelectric generators (PZG) that convert mechanical vibrations to electrical power. The improvement is achieved by a resonant circuit that self commutates the voltage across the output terminals of the PZG and eliminating thereby the shunting of the output current by the output capacitor