Miracle-dz/UniFAR-FTUs huggingface dataset:
Construction of Green Competitiveness Analysis Index - A Case Study of Export Procession Zone

“Green competitiveness” is about applying strategy to achieve productivity and overall performance of socioeconomic development while reaching the goal of sustainable development. In the modern industry, green competitiveness is an imperative element to ensure the harmony of global society, economy and environment. This work focuses on investigating the factors that affect sustainable development and green environment in order to develop green competitiveness evaluation analysis indicators. A proposed metrics framework is developed based on literature review for the evaluation of green competitiveness analysis index. The framework associated with related indicators and weights is further validated by the enterprises in the export processing zones (EPZs) as a case study. Appropriate weights for indicators are developed based on the analytical hierarchy process (AHP) method. Results based on the analysis of variance (ANOVA) show that economic sustainable development, industrial sustainable development, environmental management, and environmental regulations would have significant difference in different industries. This research is used as the basis to construct the green competitiveness analysis index with various industry characteristics as the future work.
Fuzzy sliding mode control of doubly-fed induction generator driven by wind turbine

This paper present a hybrid nonlinear control based on fuzzy sliding mode to control wind energy conversion system using a doubly fed induction generator (DFIG). Consiting of coupling fuzzy logic control and sliding mode control this technique is introduced to avoid the major disadvantage of variable structure systems, namely the chattering phenomenon. Effectiveness and feasibility of the proposed control strategy are verified by simulation results in Matlab Simulink.
The Distinguishability of Product Distributions by Read-Once Branching Programs

We improve the main result of Brody and Verbin from FOCS 2010 on the power of constant-width branching programs to distinguish product distributions. Specifically, we show that a coin must have bias at least Ω(1/log(n)ω-2) to be distinguishable from a fair coin by a width w, length n read-once branching program (for each constant w), which is a tight bound. Our result introduces new techniques, in particular a novel "interwoven hybrid" technique and a "program randomization" technique, both of which play crucial roles in our proof. Using the same techniques, we also succeed in giving tight upper bounds on the maximum influence of monotone functions computable by width w read-once branching programs.
On an inconsistency in path integral bosonization

A critically discerning discussion of path integral bosonization is given. Successively evaluating the conventional path integral bosonization of QCD it is shown without any approximations that gluons must be composed of two quarks. This contradicts the fundamentals of QCD, where quarks and gluons are independent fields. Furthermore, bosonizing the Fierz reordered effective four quark interaction term yields gluons, too. Colorless ``mesons'' are shown to be Fierz equivalent to a submanifold of gluons. The results obtained are not specific to QCD, but apply to other models as well.
Risks of Treated Insomnia, Anxiety, and Depression in Health Care-Seeking Physicians

AbstractHigh occupational stress and burnout among physicians can lead to sleep problems, anxiety, depression, and even suicide. Even so, the actual risk for these behavioral health problems in health care-seeking physicians has been seldom explored. The aim of this study was to determine whether physicians have higher odds of treated insomnia, anxiety, and depression than the normal population.This is a nationwide population-based case–control study using the National Health Insurance Research Database in Taiwan for the years 2007 to 2011. Physicians were obtained from the Registry for Medical Personnel in 2009. Hospital physicians who had at least 3 coded ambulatory care claims or 1 inpatient claim with a principal diagnosis of insomnia, anxiety, or depression were identified. A total of 15,150 physicians and 45,450 matched controls were enrolled. Odd ratios (ORs) of insomnia, anxiety, and depression between physicians and their control counterparts were measured.The adjusted ORs for treated insomnia, anxiety, and depression among all studied physicians were 2.028 (95% confidence interval [CI], 1.892–2.175), 1.103 (95% CI, 1.020–1.193), and 0.716 (95% CI, 0.630–0.813), respectively. All specialties of physicians had significantly higher ORs for treated insomnia; among the highest was the emergency specialty. The adjusted ORs for treated anxiety among male and female physicians were 1.136 (95% CI, 1.039–1.242) and 0.827 (95% CI, 0.686–0.997), respectively. Among specialties, psychiatry and “others” had significantly higher risks of anxiety. Obstetrics and gynecology and surgery specialties had significantly lower risks of anxiety. The adjusted ORs for treated depression among physicians in age groups 35 to 50 years and >50 years were 0.560 (95% CI, 0.459–0.683) and 0.770 (95% CI, 0.619–0.959), respectively. Those in the psychiatry specialty had significantly higher risks of depression; internal and surgery specialties had significant lower risks of depression.Hospital physicians have lower odds of treated depression than the general population, although they have higher odd of treated insomnia and anxiety. Undertreatment was noted in some sex, age, and specialty subgroups of physicians. Additional studies are needed to determine how to eliminate barriers to their use of psychiatry resources.
Interactive design of 3D-printable robotic creatures

We present an interactive design system that allows casual users to quickly create 3D-printable robotic creatures. Our approach automates the tedious parts of the design process while providing ample room for customization of morphology, proportions, gait and motion style. The technical core of our framework is an efficient optimization-based solution that generates stable motions for legged robots of arbitrary designs. An intuitive set of editing tools allows the user to interactively explore the space of feasible designs and to study the relationship between morphological features and the resulting motions. Fabrication blueprints are generated automatically such that the robot designs can be manufactured using 3D-printing and off-the-shelf servo motors. We demonstrate the effectiveness of our solution by designing six robotic creatures with a variety of morphological features: two, four or five legs, point or area feet, actuated spines and different proportions. We validate the feasibility of the designs generated with our system through physics simulations and physically-fabricated prototypes.
MULTIVARIATE APPROXIMATION

The lecture addresses topics in multivariate approximation which have caught the author’s interest in the last ten years. These include: the approximation by functions with fewer variables, correct points for polynomial interpolation, the B(ernstein,-ézier, -arycentric)-form for polynomials and its use in understanding smooth piecewise polynomial (pp) functions, approximation order from spaces of pp functions, multivariate Bsplines, and surface generation by subdivision. AMS (MOS) Subject Classification: 41-02, 41A05, 41A10, 41A15, 41A63, 41A65
Solving nonlinear fractional partial differential equations using the homotopy analysis method

In this article, the homotopy analysis method is applied to solve nonlinear fractional partial differential equations. On the basis of the homotopy analysis method, a scheme is developed to obtain the approximate solution of the fractional KdV, K(2,2), Burgers, BBM‐Burgers, cubic Boussinesq, coupled KdV, and Boussinesq‐like B(m,n) equations with initial conditions, which are introduced by replacing some integer‐order time derivatives by fractional derivatives. The homotopy analysis method for partial differential equations of integer‐order is directly extended to derive explicit and numerical solutions of the fractional partial differential equations. The solutions of the studied models are calculated in the form of convergent series with easily computable components. The results of applying this procedure to the studied cases show the high accuracy and efficiency of the new technique. © 2009 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq, 2010
How Much Better are the Most Prestigious Journals? The Statistics of Academic Publication

Articles in high-prestige journals receive more citations and more applause than articles in less-prestigious journals, but how much more do these articles contribute to knowledge? This article uses a statistical theory of review processes to draw inferences about differences value between articles in more-prestigious versus less-prestigious journals. This analysis indicates that there is much overlap in articles in different prestige strata. Indeed, theory implies that about half of the articles published are not among the best ones submitted to those journals, and some of the manuscripts that belong in the highest-value 20% have the misfortune to elicit rejections from as many as five journals.Some social science departments and business schools strongly emphasize publication in prestigious journals. Although one can draw inferences about an author’s average manuscript from the percentage in top-tier journals, the confidence limits for such inferences are wide. A focus on prestigious journals may benefit the most prestigious departments or schools but add randomness to the decisions of departments or schools that are not at the very top. Such a focus may also impede the development of knowledge when mediocre research receives the endorsement of high visibility.
Constructions in English: from paradigmatic to syntagmatic relations

У статті доводиться, що сучасні конструкційні підходи здебільшого зосереджені на парадигматичних відношеннях, пов’язаних з різними рівнями узагальнення структури досліджуваних конструкцій, а тому пропонується звернути увагу на синтагматичні відношення між виокремленими раніше структурами. Відповідно, у статті диференційовано п’ять синтагматичних різновидів конструкцій англійської мови: безпосередні, що складаються з двох або трьох слів; модифіковані, які включають означення; поширені, утворені кількома безпосередніми конструкціями у межах окремого висловлення; суперсинтаксичні, задіяні на рівні кількох висловлень; текстові, які зустрічаються у трьох і більше висловленнях. Ключові слова: конструкція, конструкційна граматика, парадигматика, синтагматика.
Bumpy Power Spectra and Galaxy Clusters

ABSTRA C T The evolution of the abundance of galaxy clusters is not a reliable measure of V if there are features on scales of a few Mpc in the primordial power spectrum. Conversely, if we know the cosmological model parameters from other measurements, the cluster abundance evolution permits us to probe features in the power spectrum that are in the non-linear regime at the present epoch, and hence difficult to discern directly from current epoch measurements. We have investigated the influence of an artificially introduced Gaussian feature on an otherwise unperturbed SCDM power spectrum on scales corresponding to k , 0:4‐0:8 h Mpc 21 . Using these modified spectra as an input to cosmological N-body simulations, we are able to show that in terms of the cluster abundance evolution a SCDM model displays characteristics similar to an OCDM model. However, strong modifications would also be visible at a redshift of za 0 in the dark matter power spectrum whereas minor alterations to the usual SCDM spectrum are washed away by non-linear evolution effects. We show that alterations to the dark matter power spectrum like those presented in this paper do not leave any imprint in the present density fluctuation spectrum and the velocity distribution of galaxy clusters; nearly all models agree with each other and do not coincide with our fiducial OCDM model, respectively. We therefore conclude that features with characteristics such as those discussed here might not be detectable using observations of the galaxy power spectrum, the local cluster abundance or the large-scale velocity field as measured by the velocity distribution of galaxy clusters. The only quantity that shows a pronounced difference, at the present epoch between our models under investigation, is the halo ‐halo correlation function which appears to be strongly biased with respect to an unmodified SCDM model. This is due to a lack of power on certain scales which subsequently modifies the relative amplitude of high- and low-k waves. Apart from observations of the evolution of cluster abundance, measurements of the Lyman a forest at high redshift could put constraints on possible features in the power spectrum, too.
Spectroscopy of Globular Clusters in NGC 4472

Optical multislit spectra have been obtained for 47 globular clusters surrounding the brightest Virgo elliptical galaxy, NGC 4472 (M49). Including data from the literature, we analyze velocities for a total sample of 57 clusters and present the first tentative evidence for kinematic differences between the red and blue cluster populations that make up the bimodal color distribution of this galaxy. The redder clusters are more centrally concentrated and have a velocity dispersion of 240 km s-1, compared with 320 km s-1 for the blue clusters. The origin of this difference appears to be a larger component of systematic rotation in the blue cluster system. The larger rotation in the more extended blue cluster system is indicative of efficient angular momentum transport, as provided by galaxy mergers. Masses estimated from the globular cluster velocities are consistent with the mass distribution estimated from X-ray data and indicate that the M/LB rises to 50 (M/L)☉ at 2.5Re.
Event‐related fMRI of tasks involving brief motion

The assessment of brain function by blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) for tasks involving motion near the field of view is compromised by artifacts arising from the motion. The aim of this study is to demonstrate that these artifacts can be reduced by acquiring the average response from a brief stimulus (a “single‐trial,” or “event‐related,” paradigm) as opposed to alternating blocks of repeated task with rest (a “block‐trial” paradigm). The basis of this technique is that the NMR signal changes from neuronal activation are delayed relative to the motion due to a slow hemodynamic response. By acquiring the average response from a brief stimulus, motion‐induced signal changes occur prior to neuronal activation‐induced signal changes, and the two can thus be distinguished. This technique is applied to the tasks of speaking out loud, swallowing, jaw clenching, and tongue movement. Functional activation maps derived from the single‐trial paradigm contain significantly less artifact than functional activation maps derived from a more traditional block‐trial paradigm. Hum. Brain Mapping 7:106–114, 1999. © 1999 Wiley‐Liss, Inc.
Effectiveness of an Adaptive Quizzing System as a Self-Regulated Study Tool to Improve Nursing Students' Learning

Exploring ways to help students achieve success in nursing programs is critical to improving student learning, success in nursing programs, and ultimately the number of graduates. Strategies for increasing NCLEX-RN pass rates range from modifying admission criteria, altering the number of times students can retake courses, and implementing remediation and progression policies. There does not appear, however, to be one single strategy which, when employed, can assure NCLEX-RN success. There is clear evidence, however, that studying using repeated self-testing has greater learning benefits that repeated reading, although it is unclear to what extent students understand and apply this principle on their own. In this paper we describe the implementation and use of an adaptive quizzing and learning system to provide students an environment for studying by self-testing to better master curricular material and prepare for exams. The study implemented a retrospective descriptive and correlational design to explore the relationship between usage and mastery measured in the system, course outcome data, standardized testing (ATI) scores, and NCLEX outcomes. Use of the system was voluntary and no course credit was assigned. All students (N = 36) used the practice quizzing feature of the system, answered an average of 574 questions with an overall average quizzing mastery level of 3.48 (on a scale of 1-8). There was a strong, positive correlation between the number of questions answered and overall mastery level; with increased usage students were better able to correctly answer more difficult questions and mastery of the content improved. All students in the group passed the NCLEX-RN (on the first or second attempt). Findings support the use of adaptive quizzing as a self-regulated learning strategy for nursing students and indicate that as students actively study and learn in the system, their mastery of course content increases. Additional implications will be discussed.
Fault Tree Analysis of Software-Controlled Component Systems Based on Second-Order Probabilities

Software is still mostly regarded as a black box in the development process, and its safety-related quality ensured primarily by process measures. For systems whose lion share of service is delivered by (embedded) software, process-centred methods are seen to be no longer sufficient. Recent safety norms (for example, ISO 26262) thus prescribe the use of safety models for both hardware and software. However, failure rates or probabilities for software are difficult to justify. Only if developers take good design decisions from the outset will they achieve safety goals efficiently. To support safety-oriented navigation of the design space and to bridge the existing gap between qualitative analyses for software and quantitiative ones for hardware, we propose a fault-tree-based approach to the safety analysis of software-controlled systems. Assigning intervals instead of fixed values to events and using Monte-Carlo sampling, probability mass functions of failure probabilities are derived. Further analysis of PMF lead to estimates of system quality that enable safety managers to take an optimal choice between design alternatives and to target cost-efficient solutions in every phase of the design process.
Computationally efficient lattice reduction for MIMO-OFDM systems

We propose a computationally efficient lattice reduction (LR) algorithm for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems in frequency-selective fading channels. In our proposed algorithm, we exploit the inherent feature of unimodular transformation matrix P that remains the same for frequency components which have relatively high amplitude correlation. We eliminate the redundant calculations by reducing brute-force LR iterations among adjacent subcarriers. We simulate the error performance and complexity of the proposed algorithm under various MIMO-OFDM system configurations. The results demonstrate that the proposed algorithm could significantly reduce the LR complexity by up to 90% multiplications and 99% divisions of brute-force LR while maintaining the system performance.
ADHD and the Case for Support Through Collegiate Age: Understanding the Lifecycle of Developmental Delays in Executive Function for ADHD and its Impact on Goal Setting

This paper discusses how executive function develops in individuals with ADHD as compared to neurotypical individuals. ADHD coaches trained in the area of executive function skills can be particularly helpful to individuals looking to strengthen their organizational and decision-making skills with supports that are unique to one’s specific ADHD presentation. Coaching is a promising supplemental intervention for individuals with ADHD. Three case studies are presented.
Improving Secondary Markets in Rural America

Those who study the nation’s capital markets have come to acknowledge the important role development of secondary markets can have in enhancing capital market efficiency. The ability of originators to sell off their interests in debt instruments to third-party holders or issuers of securities backed by the debt obligations can enhance their liquidity, freeing up additional funds for lending, can permit them to better match the durations of their asset and liability portfolios, and can enhance loan allocation patterns both geographically and temporally. At the same time, a larger pool of potential investors is tapped by the creation of investment vehicles which better match a variety of liquidity and other investment objectives. The net result is a higher level of debt availability at lower cost.
Editorial Commentary: Polymyxin-Resistant Acinetobacter baumannii: Urgent Action Needed

(See the Major Article by Qureshi et al on pages 1295–303.) In 2009, the Infectious Diseases Society of America (IDSA) set the acronym ESKAPE, which lists the groups of pathogens that pose the highest threat to patients' safety and to public health [1], one of which is Acinetobacter baumannii [1]. Acinetobacter baumannii is a particularly challenging pathogen because it is associated with a high degree of resistance [2], and it is difficult to eliminate its environmental reservoir in healthcare settings with conventional measures [3]. Carbapenems are considered first-line agents for the treatment of A. baumannii infections [4–6], and therefore the rise of infections due to carbapenem-resistant strains is of particular concern, as outcomes deteriorate significantly when isolates become resistant to all β-lactam options [2, 3, 5–7]. Additionally, carbapenem-resistant A. baumannii isolates are often susceptible to only 1 or 2 agents, making them extensively drug-resistant (XDR) pathogens by definition [8]. The incidence of XDR A. baumannii infections is continually rising [9]. For severe XDR A. baumannii infections, polymyxins are frequently used, and are considered by most to be the drugs of choice [4]. In this issue of Clinical Infectious Diseases, Qureshi and colleagues report on a case series of patients with isolation of colistin-resistant carbapenem-resistant A. baumannii [10]. In some of the cases described by the authors, the isolates have become truly pandrug resistant (PDR) with resistance seen to all tested antimicrobials. These infections represent a serious iatrogenic complication of modern healthcare, where patients acquire infections in our healthcare facilities, for which we have no treatment options.
Immersion, Presence, and Flow in Robot-Aided ISR Simulation-Based Training

The Intelligence, Surveillance, and Reconnaissance (ISR) domain offers a rich application environment for Soldier-Robot teaming and involves multiple tasks that can be effectively allocated across human and robot assets based upon their capabilities. The U.S. Armed Forces envisions Robot-Aided ISR (RAISR) as a strategic advantage and decisive force multiplier. Given the rapid advancement of robotics, Human Systems Integration (HSI) represents a critical risk to the success of RAISR. Simulation-Based Training (SBT) will play a key role in mitigating HSI risks and migrating from traditional Soldier-Robot operation to mixed-initiative teaming. However, research is required to understand the SBT methods and tools most applicable to the RAISR task domain. This paper summarizes results from empirical experimentation aimed at comparing traditional SBT strategies (e.g., Massed Exposure, Highlighting), and understanding the impact of Immersion, Presence, and Flow on performance. Relationships between Immersion, Presence, and Flow are explored and recommendations for future research are included.