Miracle-dz/UniFAR-FTUs huggingface dataset:
A Simple, General Purpose Display of Magnitude of Experimental Effect

We introduce the binomial effect size display (BESD), which is useful because it is (a) easily understood by researchers, students, and lay persons; (b) widely applicable; and (c) conveniently computed. The BESD displays the change in success rate (e.g., survival rate, improvement rate, etc.) attributable to a new treatment procedure. For example, an r of . 32, the average size of the effect of psychotherapy, is said to account for "only 10% of the variance"; however, the BESD shows that this proportion of variance accounted for is equivalent to increasing the success rate from 34% to 66%, which would mean, for example, reducing an illness rate or a death rate from 66% to 34%. Traditionally, behavioral researchers have concentrated on reporting significance levels of experimental effects. Recent years, however, have shown a welcome increase in emphasis on reporting the magnitude of experimental effects obtained (Cohen, 1977; Fleiss, 1969; Friedman, 1968, Glass, Note 1, Hays, 1973; Rosenthal, 1978; Rosenthal & Rubin, 1978; Smith & Glass, 1977).
Mobicloud and Secure Data Access Framework

Cloud provides the environment for the mobile users called mobicloud to performs computationally intensive operation such as searching, data mining, and multimedia processing. Addressing the trust management, secure routing, and risk management issues in this framework are notable. To this end, we present a secure mobile cloud data access framework through trust management and private data isolation.
A Gentle Introduction to Value at Risk

This paper is an introduction to the measurement of market risk in financial markets, with examples drawn mainly from commodity markets. In particular, we present the concept of VaR, its limits, the problems related to its estimation and backtesting. This is done at single asset and at portfolio level. Issues related to estimation error, measurement of portfolio risk contribution and how to cope with derivative positions are also considered. Other important issues like liquidity, operational and credit risk will not be dealt here. For a Gentle introduction to the measurement of counterparty credit risk see the companion paper by Ballotta, Fusai and Marena always available on the SSRN web site.
Grey Relational Analysis for Hesitant Fuzzy Sets and Its Applications to Multiattribute Decision-Making

Due to the superiority in expressing the uncertain and vague information, the hesitant fuzzy set (HFS) is regarded as an important tool to deal with multiattribute decision-making (MADM) problems. Quantitative and qualitative fuzzy measures have been proposed to solve such problems from different points. However, most of the existing information measures for HFSs are related to such fuzzy measures as distance, similarity, entropy, and correlation coefficients. The grey relational analysis is omitted. Besides, the existing grey relational analysis for HFSs only considers the range or distance between HFSs data which is only a partial measure of the HFSs. Therefore, in this paper, we improve the grey relational analysis for HFSs and explore a novel slope grey relational degree by considering another factor of HFSs data: the slope. Further, we combine both the distance and slope factors of HFSs data to construct a synthetic grey relational degree that describes the closeness and variation tendency of HFSs simultaneously, greatly enriching the fuzzy measures of HFSs. Furthermore, with the help of the TOPSIS method, we develop the grey relational based MADM methodology to solve the HFSs MADM problems. Finally, combining with two practical MADM examples about energy policy selection and multisensor target recognition, we obtain the most desirable decision results. Compared with the previous methods, the validity, comprehensiveness, and discrimination of the proposed synthetic grey relational degree for HFSs are demonstrated in detail.
Effects of beta-hydroxy-beta-methylbutyrate supplementation on physical performance of young players during an intensified soccer-training period: a short report

Purpose. The objective of the study was to assess the effects of a 4-week intensified period of in-season soccer training with addition of explosive training and beta-hydroxy-beta-methylbutyrate (HMB) supplementation on maximal-intensity and endurance performance in young male soccer players, compared with a parallel training with placebo (i.e. magnesium stearate) supplementation. Methods. A randomized, double-blind, placebo-controlled trial was conducted. Male athletes (age, 18.6 ± 1.4 years) were assigned either to a group receiving HMB supplementation (n = 9) or to a placebo group (n = 7). Results. The athletes were evaluated for maximal-intensity jumping and endurance performance before and after the intervention. Before the intervention, the two groups were characterized by similar age, body mass, height, and soccer experience. In addition, no differences between groups were observed for physical performance measures other than a greater countermovement jump performance in the HMB group compared with the placebo group. After the intervention, neither group showed any significant change in any of the physical performance measures. Conclusions. Compared with a 4-week intensified period of in-season soccer training with addition of explosive training and placebo supplementation, HMB supplementation did not add further adaptive changes related to maximal-intensity and endurance performance in young male soccer players.
Chapter 2: Triboelectric Charging of Coal, Quartz and Pyrite by In-line Mixer

An evaluation of particle charging properties and process parameters that affect particle charge is of great significance in triboelectrostatic separation for dry coal cleaning. The tribocharging characteristics of the Pittsburgh No. 8 coal and the ash-forming mineral (i.e. quartz, pyrite) samples were thus investigated by the use of a copper in-line static-mixer, which has been well chosen to serve as a tribocharger during the study. The new developed charge-measuring device, “ the on-line tribocharge analyzer,” has proved possible to achieve satisfactory and reliable charge measurements. A description of the device is discussed. The coal and mineral samples were found to acquire their charge oppositely; that is, the coal sample was charged positively whereas the mineral samples were negatively charged. Five main parameters were studied during this study; i.e. air velocity, particle feed rate, particle size, ash content and temperature. The data obtained from the investigations are presented and the effects of the studied parameters on the charge characteristics of the particles are discussed.
The practice of administrative supervision in an international context – The case of Vietnam

Abstract Collaborative international partnerships offer important benefits for institutions of higher education, both domestically and abroad. Recently, a Midwestern institution formed an important partnership with a sister institution in Vietnam that provides opportunities for cultural and academic exchange across cultures that differ dramatically. Very little research has been conducted in Vietnam, especially regarding instructional supervision. Using a collaborative, developmental model of supervision, this paper analyzes the influence of introducing a relationship oriented model of supervision as professional development training to principals in Vietnam. Findings indicate both challenges and opportunities for this collaborative leadership style in the context of education in Vietnam.
A Novel Approach to Trace Time-Domain Trajectories of Power Systems in Multiple Time Scales Based Flatness

This paper works on the concept of flatness and its practical application for the design of an optimal transient controller in a synchronous machine. The feedback linearization scheme of interest requires the generation of a flat output from which the feedback control law can easily be designed. Thus the computation of the flat output for reduced order model of the synchronous machine with simplified turbine dynamics is hereby presented. The corresponding linearized compensator is derived as well as the nonlinear controller for transient stabilization of a synchronous machine subjected to large disturbances. The transient behavior of a single machine equipped with the so designed nonlinear controllers feeding an infinite bus is illustrated via simulation in Matlab environment. The results obtained for transient disturbances on the single machine infinite bus system (SMIBS) are presented and compared with other control algorithms to demonstrate the effectiveness of the proposed scheme.
Lattice-induced rapid formation of spin singlets in spin-1 spinor condensates

We experimentally demonstrate that combining a cubic optical lattice with a spinor Bose-Einstein condensate substantially relaxes three strict constraints and brings spin singlets of ultracold spin-1 atoms into experimentally accessible regions. About 80 percent of atoms in the lattice-confined spin-1 spinor condensate are found to form spin singlets, immediately after the atoms cross first-order superfluid to Mott-insulator phase transitions in a microwave dressing field. A phenomenological model is also introduced to well describe our observations without adjustable parameters.
Mobile Commerce Switching Intentions in Thai Consumers Ms .

This research applies an extended Unified Theory of Adoption and Use of Technology (UTAUT) model to consumer intentions to switch from other retail channels to mobile commerce in Thailand. Mobile commerce is a rapidly growing segment of the consumer market, but remains in an early stage of adoption in many markets. A survey of Thai consumers (n = 458) was conducted online and analyzed using a structural equation modeling (SEM) approach. Findings showed that the extended UTAUT model, which included online social support and convenience, significantly explained the consumer decision to engage in mobile commerce. However, direct incentives (discounts and referral codes) were not significant. The implication of these findings is that mobile commerce providers need to focus on building social support for the technology itself, rather than relying on marketing tools like discounts or referral codes if they want to shift sales away from other retail channels.
A Novel Bandpass Filter of Substrate Integrated Waveguide (SIW) Based on S-Shaped EBG

A novel S-shaped electromagnetic band gap (EBG) middling bandwidth bandpass fllter based on substrate integrated waveguide (SIW) was proposed. The fllter was designed based on the band-stop characteristics of EBG by etching difierent dimensional S- shaped on the surface of substrate integrated waveguide. The bandpass fllter with a center frequency at 7.765GHz and relative fractional bandwidth 7.31% shows good bandpass characteristics with frequency band between 7:38 » 7:94GHz, while the insertion loss is less than 1.6dB and achieve middling bandwidth in SIW by EBG and has the advantage of bandpass, low insertion loss, compacted and good selectivity etc. The good agreement between the measured results and the simulated results demonstrates that the design of this proposed fllter is efiective.
Locally-connected transformations for deep GMMs

Recently there has been a lot of interest in density modeling with Deep Generative Models. So far, these models have arguably been relatively successful on tasks such as modeling handwritten digits (MNIST), small image patches (e.g., 8 by 8 pixels) and other low-dimensional datasets. However, convincingly modeling higher dimensional data such as small images (e.g., 32 by 32 pixels and higher) is still a big unsolved problem. In this work we will extend and apply Deep Gaussian Mixture Models (DGMMs) to this task, by introducing locally connected transformations. Similarly to convolutions in deep neural networks, local connectivity in DGMMs allow us to train faster and with less overfitting than fully connected networks when applied to images. Our experiments show the benefits of using locally-connected Deep GMMs and give new insights on modeling higher dimensional images.
Potential origins of 400–500 kyr periodicities in the ocean carbon cycle: A box model approach

Cenozoic proxy records of both the isotopic composition of dissolved inorganic carbon in the oceans (δ13CDIC) and deep ocean carbonate preservation show significant periodicities in the range 400–500 kyr. Sensitivity analysis of the ocean carbon cycle to potential variability on this timescale in patterns of global oceanic primary productivity and/or continental weathering fluxes is performed using a 7 box ocean‐atmosphere model. The data constraints imposed by Plio‐Pleistocene proxy records of δ13CDIC, carbonate preservation, and atmospheric pCO2 variability allow different scenarios to be evaluated. Forcing with the global oceanic primary production ratio of inorganic and organic carbon leads to the relative phases of response most consistent with the proxy data. However, only when changes also occur in total marine primary production can the observed relative amplitudes of δ13CDIC and pCO2 variability also be reproduced. This scenario is consistent with oscillations between a highly productive, coccolithophore‐rich global ocean and a less productive, diatom‐rich one. Such oscillations have been proposed to originate from the orbital eccentricity cycle leading to changes in seasonality and thus silica utilization in the Southern Ocean. However, the period of response in model δ13CDIC is always close to that of the forcing function used, and thus a significant discrepancy remains between the orbital eccentricity cycle period of 413 kyr and the observed ∼500 kyr δ13CDIC periodicity seen in the Pleistocene.
Conducting Genome-Wide Association Studies: Epistasis Scenarios

This paper investigates epistatic scenarios in a genome-wide association studies (GWAS) context using a qualitative association model, to assess the statistical models that reliably predict associations between a qualitative phenotype (i.e., a disease diagnosis) and a pair of interacting genes. We employed the concept of relative risk, which is the ratio of the probability of a positive diagnosis given a mutated genotype divided by the probability with no risk present. We used a Monte Carlo-based simulation approach, to generate synthetic data corresponding to a variety of possible epistatic models (EMs). Our method took into account the strength of association, disease prevalence in non-risk populations and most importantly, the inheritance patterns of the epistatic genes. We analyzed the simulated gene data, to assess how these individual factors influenced statistical power in the context of GWAS. Using simulated data provides two distinct advantages. First, the association-affecting factors are isolated and can be linked to the affecting locus. Second, we can use any specific statistical method to perform the assessment. The simulated dataset provides a truth set, for assessing the effect of statistical method choice on association sensitivity, and highlights the role of errors in disease diagnosis and incorrect genotype assignments. The results indicate that the most powerful statistical methods for predicting associations between phenotypes and genotypes, in epistatic scenarios are statistical models that simultaneously test for associations involving both interacting loci. This result is not surprising and has been reported by others. Two-gene models produce better predictions of association than single-gene models. The significance of this study is twofold: First, it incorporates recent new statistical methods as part of the comparison analysis and second, it documents the extent to which single-gene models fail to predict associations, involving interacting genes with phenotypes constructed to be associated with low risk.
A Review of Entomological Surveillance and Vector Control, with Concrete Examples that Discuss the Use of Indicators in Monitoring and Evaluation

The emergence of diseases or vectors is not a new phenomenon but for the last few decades, it seems to be accelerating. The subject of this article was to review the surveillance and response to disease emergence, in particular entomological surveillance. The available published and unpublished reports on entomological surveillance and vector control were collected and reviewed. The relevant entomological indicators target the presence/absence, density or longevity of vector populations, or even the presence of pathogens in the vectors. The role of research is to fill gaps and limit uncertainties that may affect the efficiency of an entomological surveillance program, including vector competence and environmental conditions favorable to emergence and outbreaks.
Predictive Validity toward Job Performance of General and Specific Mental Abilities. A Validity Study across Different Occupational Groups

There are two main views on the role of cognitive abilities in job performance prediction. The first approach is based on meta-analysis and incremental validity analysis research and the main assumption is that general mental ability (GMA) is the best job performance predictor regardless of the occupation. The second approach, referred to as specific validity theory, assumes that job-unique weighting of different specific mental abilities (SMA) is a better predictor of job performance than GMA and occupational context cannot be ignored when job performance is predicted. The validity study of both GMA and SMA as predictors of job performance across different occupational groups (N = 4033, k = 15) was conducted. The results were analyzed by calculating observed validity coefficients and with the use of the incremental validity and the relative importance analysis. The results supports the specific validity theory – SMA proved to be a valid job performance predictor and occupational context moderated GMA validity.
Multimarket Contact in Italian Retail Banking: Competition and Welfare

This paper studies banks' competitive behavior on the deposit side of the Italian retail banking industry. We use a structural model to estimate demand for deposit services and test several supply models. We find that both the competitive, differentiated product Bertrand and the perfectly collusive models are rejected against partially collusive models with coalitions based on the participants' market contact. In the best fitting collusive model, the coalition includes 8 banks with at least 19 overlapped regions. Banks with extensive multi-market contacts tend to be less competitive and behave as if they were maximizing their profit jointly, taking into account the competitive fringe of smaller banks.
Chemical characterization of submicron regional background aerosols in the western Mediterranean using an Aerosol Chemical Speciation Monitor

Abstract. An Aerosol Chemical Speciation Monitor (ACSM, Aerodyne Research Inc.) was deployed at the Montseny (MSY; 41° 46'46" N, 02° 21'29" E, 720 m a.s.l.) regional background site in the western Mediterranean, Spain, from June 2012 to July 2013 to measure real-time inorganic (nitrate, sulfate, ammonium and chloride) and organic submicron aerosol concentrations. Co-located measurements, including real-time submicron particulate matter (PM1) and black carbon (BC) concentrations, and off-line PM1 chemical analysis were also carried out. This is one of the few studies that compare ACSM data with off-line PM1 measurements, avoiding the tail of the coarse mode included in the PM2.5 fraction. The ACSM + BC concentrations agreed with the PM1 measurements, and a strong correlation was found between the concentrations of ACSM species and the off-line measurements, although some discrepancies remain unexplained. Results point to a current underestimation of the relative ionization efficiency (RIE) established for organic aerosol (OA), which should be revised in the future. The OA was the major component of submicron aerosol (53% of PM1), with a higher contribution in summer (58% of PM1) than in winter (45% of PM1). Source apportionment of OA was carried out by applying positive matrix factorization (PMF), using the multilinear engine (ME-2) to the organic mass spectral data matrix. Three sources were identified in summer: hydrocarbon-like OA (HOA), low-volatile oxygenated OA (LV-OOA), and semi-volatile oxygenated OA (SV-OOA). The secondary OA (SOA; 4.8 μg m−3, sum of LV-OOA and SV-OOA) accounted for 85% of the total OA, and its formation during daytime (mainly SV-OOA) was estimated to be 1.1 μg m−3. In winter, HOA was also identified (12% of OA), a contribution from biomass burning OA (BBOA) was included and it was not possible to differentiate between two different SOA factors, but a single oxygenated OA (OOA) factor was resolved. The OOA contribution represented 60% of the total OA, with a degree of oxidation higher than both OOA summer factors. An intense wildfire episode was studied, obtaining a region-specific BBOA profile.
A Hybrid Sampling SVM Approach to Imbalanced Data Classification

Imbalanced datasets are frequently found in many real applications. Resampling is one of the effective solutions due to generating a relatively balanced class distribution. In this paper, a hybrid sampling SVM approach is proposed combining an oversampling technique and an undersampling technique for addressing the imbalanced data classification problem. The proposed approach first uses an undersampling technique to delete some samples of the majority class with less classification information and then applies an oversampling technique to gradually create some new positive samples. Thus, a balanced training dataset is generated to replace the original imbalanced training dataset. Finally, through experimental results on the real-world datasets, our proposed approach has the ability to identify informative samples and deal with the imbalanced data classification problem.
The Studies of Conditions for Inducing Chirality to Cu(II) Complexes by Chiral Zn(II) and Ni(II) Complexes with Schiff Base

Recently, we have discovered that some chiral Schiff-base nickel(II) complexes induced d-d bands of CD spectra of some achiral copper(II) complexes. However, the novel phenomenon could be observed only a few systems of hybrid materials or limited conditions so far. In order to test conditions about copper(II) ions, we investigated model systems (1) metal-dendrimer (Cu-PAMAM; G4-NH2 terminal) containing relatively small amount of copper(II) ions (4.5 equivalent to PAMAM) for modeling separated systems of achiral copper(II) complex from chiral Schiff-base nickel(II) or zinc(II) complexes, Bis(𝑁-𝑅-1-naphtylethyl-3,5-dichlorosalicydenaminato)nickel(II) or zinc(II) by polymer matrix. (2) equilibrium of copper(II) 𝑁-ethylethylenediamine complexes to measure absorption spectra of d-d band, pH, and electron conductivity during titration of copper(II) ions. The results showed that (1) 4.5Cu-PAMAM could not be induced their d-d bands by the chiral nickel(II) or zinc(II) complexes, which suggested that separation by polymers prevented from inducing CD peaks. (2) Although 36Cu-PAMAM was known, uncoordinated copper(II) ions excess to ligands mainly attributed to increase electron conductivity by remained ions in methanol solutions, which was not associated with intermolecular interaction or dipole moments being effective for the induced CD mechanism by using molecular recognition between neutral molecules of metal complexes.