Miracle-dz/UniFAR-FTUs huggingface dataset:
Stereotypes about Adults with Learning Disabilities: Are Professionals a
 Cut Above the Rest?

Purpose: The study examined the differing perceptions of professionals and the public (non-professionals) regarding life success for adults with learning disability (LD). Method: The sample (N = 342) consisted of 175 professionals (P) and 167 non-professionals (NP), with a mean age of 30.02 years and S.D. = 12.42 years. Their perceptions about life success of an individual with learning disability were studied with the help of four vignettes that provided hypothetical information about the age, class, and hobbies of a college student. The four vignettes were identical in describing the student and only differed in terms of gender (M and F), and presence and absence of learning disability (LD and NLD). Results: No significant difference was found between attitudes held by professionals and non-professionals. Both the groups showed significantly greater negative attitudes about perceived life success for adults with learning disability than for those without learning disability. The results have been discussed with the help of social psychological theories in the areas of attitude, bias, and stigmatization. Conclusion and Implications: It is clear that a negative bias exists toward individuals with learning disability in the urban Indian milieu. The fact that not only the public but also professionals were biased against individuals with learning disability regarding their life success implies that negative stereotypes are deeply embedded. This research may provide the impetus to address issues like prevalence of stigma against learning disability in society, its effective attenuation as well as equality and inclusion for individuals with learning disability.
AHMT_A_223956 145..152

Sharifu K Tusuubira 1,2 Tracy Naggawa Victoria Nakamoga 1 1Uganda Sickle Cell Rescue Foundation, Kampala, Uganda; 2Clarke International University, Kampala, Uganda Background: People living with sickle cell face a lot of stigma and discrimination in Uganda. This stigma is as a result of the lack of the general conceptualization of this condition. For students, the stigma is often due to their differences like jaundice, delayed sexual maturation, and physical growth. This makes individuals with SCD targets for teasing and bullying. This study assessed the knowledge and perception among secondary school students in a rural district of Butambala at nine selected schools. The study also evaluated the use of sickle cell clubs as a tool for behavior change towards the associated stigma and discrimination. Methods: A school-based cross-sectional study design was used to assess knowledge and perception towards sickle cell disease in secondary schools in Butambala district using selfadministered questionnaires prior to and after set up of the sickle cell clubs. Results: Out of the 375 student participants (59.5% female, 40.5% male) the majority (87.5%) were below 18 years; 68% of the respondents did not know that sickle cell is a genetic condition; 87.5% of the respondents highlighted that it is important for people with SCD to attend school; 54.4% of the respondents reported that people with SCD should not be given equal rights, while 56.0% of the respondents noted that people with SCD should not socialize. Conclusion: It is evident the there is a big gap in sickle cell awareness among secondary school students coupled with a high level of stigma and discrimination. Sickle cell clubs have a positive effect towards behavior change while providing SCD knowledge and information.
The effect cooperative learning model resolution of mathematics problem solving and students' mathematics communication

This research is aimed to analyze the influence of cooperative learning model toward the ability of problem solving in mathematics and students" ability in mathematics communication. This research uses experiment method. Data analysis uses MANOVA (Multivariate Analysis of Variants). Result shows that: there is influence of cooperative learning model to the ability of mathematics problem solving and the ability of mathematics communication multivariately. It shows that there is difference between matrices of ability of Mathematics problem solving and mathematics communication to the given cooperative learning model type STAD (Student Team Achievement Division) and type TPS (think, pair, share). By univariate, the result shows: (a) there is no difference in the ability of mathematics problem solving to those who were given cooperative learning model type STAD and type TPS. It indicates the influence cooperative learning model to the ability of students" mathematics problem solving. (b) there is difference in terms of students" ability of mathematics communication to who were given cooperative learning model type STAD with type TPS. It shows that there is an influence of cooperative learning model to the ability of mathematics communication. Result of this research recommends improving the ability of mathematics problem solving and the ability of students" mathematics communication can be done in the same time using cooperative learning model type STAD.
Adjustment to fibromyalgia: The role of domain‐specific self‐efficacy and acceptance

Abstract Objective Fibromyalgia is a long‐term condition of unknown aetiology characterised by widespread pain, fatigue, joint stiffness, and tenderness. Research in long‐term conditions traditionally focuses on negative aspects of coping. The objective of this study therefore was to investigate the role of positive factors such as self‐efficacy and acceptance in the context of adjustment to fibromyalgia. Method The study employed a cross‐sectional design using online questionnaires measuring self‐efficacy, acceptance, kinesiophobia, coping, catastrophising, pain intensity, and fibromyalgia impact. A total of 117 participants with fibromyalgia (99 female) were recruited from fibromyalgia support‐groups, organisations, and online forums. Results Data were analysed using multiple regression analysis. After controlling for other cognitive and demographic variables, pain self‐efficacy remained a significant predictor of pain intensity (p = .003); symptom self‐efficacy remained the best predictor of psychological fibromyalgia impact (p = .001); and function self‐efficacy remained the best predictor of functional (p < .001) and total fibromyalgia impact (p < .001). However, the contribution of acceptance upon pain intensity and fibromyalgia impact was not significant. Conclusions The results highlight the impact of different self‐efficacy domains on pain intensity in terms functional, psychological, and total adjustment to fibromyalgia, but suggest that the role of acceptance on these domains is less salient. The implications of these findings for future studies in self‐efficacy and fibromyalgia are discussed.
Artistic Influence GAN

What if Banksy had met Jackson Pollock during his formative years, or if David Hockney had missed out on the Tate Gallery’s famous 1960 Picasso exhibition? How would their subsequent art differ? Inspired by these “what if” questions around artistic influence, we collected a dataset of paintings and the directed links of influence between artists. We then introduced an Artistic Influence generative adversarial network (GAN), in which the generator takes as input not only the noise vector z, but also an additional embedding v representing the influencers. Thus, at inference time, we can imagine a new artist A by specifying which artists influenced that artist A, and use the generator to produce paintings.
Influence of System Trust on Customer Loyalty: The Mediating Effect of Organizational and Interpersonal Trust

Many marketing studies have shown that customer trust towards a company and its representatives can influence customer loyalty. This study establishes different types of the trust theory model, which contains system trust, organizational trust and interpersonal trust. This model combines customer loyalty with an integrated causal relationship model to examine mutual influencing relationships among variables. This study adopts direct selling distributors as subjects and collects 252 valid questionnaires. The Partial Least Squares (PLS) method is applied. Analytical results indicate that system trust positively affects customer loyalty (p＜0.05). Similarly, organizational trust (p＜0.001) and interpersonal trust (p＜0.05) have mediating effects between system trust and customer loyalty.
A general inversion for end‐member ratios in binary mixing systems

Binary mixing is one of the most common models used to explain variations in geochemical data. When the data being modeled are ratios of elements or isotopes, the mixtures follow hyperbolic trends with curvatures that depend on a cross‐term representing the relative concentrations of the elements or isotopes under consideration in the mixing components. The inverse problem of estimating mixing components is difficult because of the cross‐term in the hyperbolic equation, which requires the use of nonlinear methods to estimate the mixing parameters, and because the end‐member ratio values are intrinsically underdetermined unless the mixing proportions of the samples are known a priori, which is not generally the case. I use maximum likelihood methods to address these issues and derive a general inversion for binary mixing model parameters from ratio‐ratio data. I apply the method to synthetic test data and a global compilation of 230Th/232Th versus 87Sr/86Sr data from oceanic basalts and find that the concentration ratio parameter is well‐constrained by the inversion while the end‐member ratio estimates are strongly dependent on the initial guesses used to start the iterative solver, reflecting the underdetermined nature of the end‐member positions on the mixing hyperbola. Monte Carlo methods that randomly perturb the initial guesses can be used to improve error estimates, and goodness‐of‐fit statistics can be used to assess the performance of the mixing model for explaining data variance.
REVIEW OF VARIOUS THIN HEAT SPREADER VAPOR CHAMBER DESIGNS, PERFORMANCE, LIFETIME RELIABILITY AND APPLICATION

The cooling device for computers and electronics is getting smaller and thinner year after year, especially for the mobile handheld device such as smartphone which is the most popular gadget and widely use nowadays. It seems that in the current trend every 6-12 months a new model of smartphone is introduced and it was packed with faster processing processor, memories, and graphics, higher density battery, higher resolution for camera and video and so on. The drawback is the device getting hotter due to the increase of heat dissipation caused by faster computing. The traditional method of cooling by purely metal heat conducting is no longer viable. In the recent year thin heat pipes had been introduced to smartphone for better transfer and spreading the heat for cooling. Thin heat spreader vapor chamber becoming more attractive for smartphone cooling due to its potential superior heat transfer than thin heat pipe. Typically heat pipe or vapor chamber for cooling smart phone is less than 0.4 mm thick. This paper is a review and comparison on the structural design and thermal performance of various thin heat spreader vapor chambers on development or available off the shelves. Discussion on material compatibility, non-condensable gas generation and lifetime reliability of heat pipe and vapor chamber will be also included. Lastly some examples of application presented.
IMPACT OF STEEL SLAG APPLICATION ON NUTRIENTS AVAILABILITY AND CORN YIELD GROWN ON SALINE SOIL

A greenhouse pot experiment was conducted to evaluate the effectiveness of arc furnace steel slag as a silicon source on the nutrients availability and corn yield in alluvial soil. The experimental treatments were 0, 500 and 1000 kg steel slag/fed, and 1.68, 3.0 and 6.0 dSm -1 soil salinity treatments. Response variables measured included yield of grains and stover, content of nutrients and metals in leaves and grains, and the available nutrients and metals remained in the soil after corn harvest. Grains and stover yields decreased progressively with increasing salinity levels in the absence of steel slag. Application of steel slag mitigated the deterioration effect of salinity stress. Grain yield markedly increased with slag applications and optimized (16.7%) with 500 kg slag rate at 3.0 dSm -1 salinity level. At 6.0 dSm -1 salinity, the increase in grains yield was mild (10.6%) at both rates of slag (500 and 1000 kg fed -1 ). Stover yield, though increased with slag application under salinity stress, but the increase was inconsistent. Steel slag applications significantly reduced Na and increased Ca, Mg, K and P contents in leaves and grain under saline conditions, with a greater response for P. Zinc content increased, and Fe decreased in leaves and grain with salinity in absence of steel slag, while applications of steel slag did not affect Zn content in grain and straw at any level of salinity but promoted Fe content. The changes in Cu content were very limited. The contents of Cd, Ni, Pb and Cr were slightly changed with slag application and lie within the ranges being sufficient for corn. The available K increased with salinity in absence of slag. When slag added, available K content was rather increased with no consistent trend. Available P tended to decrease with salinity increasing, but markedly increased in the presence of slag at the same level of salinity. At 1000 kg slag rate, the available P was nearly twice than that of control either at 3.0 or 6.0 dS m -1 salinity level. Available Na and Si were higher in saline soils-untreated with slag. When slag applied, available Na decreased at any level of salinity, while available Si was slightly affected. This pattern was abundant with 500 kg slag rather than 1000 kg slag rate, suggesting that most of available Si combined with Na which inhibited Na translocation to plant tissues and hence its phytotoxicity. Available Fe increased with salinity, but rather increased with steel slag application. Copper, Zn and Ni availability were not affected with either salinity or slag application. In all cases the availability of the tested metals was not higher than the guide values assessing soil contamination by heavy metals. The application of the steel slag at 500 kg fd -1 was found to be more safety from the environmental point of view and agronomic benefits. However, field trails are still needed to confirm the greenhouse results.
Expectations Over Durable Assets: How to Avoid the Formation of Value Bubbles

There is a finite set of characteristics which can be present in a durable asset adding value to it, and that are not necessarily part of it in the moment of its adquisition. We represent formally how the expectations over the possible future characteristics of these goods influence its price, and get the conditions for the formation of bubbles, which allows us to propose mechanisms to avoid this kind of instinctive collective regimes. Posteriorly we extend our analysis to consider the case of monopoly and of an m-firms oligopoly producing these kinds of goods, finding that the cardinality of the firm(s)' possible plans of production to maximize benefits is the same. We show relation between the assets' prices and the cardinalities of the sets of suppliers, assets' varieties and entry consumers, with an indirect dependence on the rentlabor wages. We model boundedly an analysis of the effect of tendencies like corruption on newly informed and non-bayesian probabilities that constitute the prices. Finally, some extra provided mechanisms to avoid bubbles focus in reverting badly programed rule of thumbs, to get back to the rightgreat rules respect
Nano-(Q)SAR for Cytotoxicity Prediction of Engineered Nanomaterials

Although nanotechnology is a new and rapidly growing area of science, the impact of nanomaterials on living organisms is unknown in many aspects. In this regard, it is extremely important to perform toxicological tests, but complete characterization of all varying preparations is extremely laborious. The computational technique called quantitative structure–activity relationship, or QSAR, allows reducing the cost of time- and resource-consuming nanotoxicity tests. In this review, (Q)SAR cytotoxicity studies of the past decade are systematically considered. We regard here five classes of engineered nanomaterials (ENMs): Metal oxides, metal-containing nanoparticles, multi-walled carbon nanotubes, fullerenes, and silica nanoparticles. Some studies reveal that QSAR models are better than classification SAR models, while other reports conclude that SAR is more precise than QSAR. The quasi-QSAR method appears to be the most promising tool, as it allows accurately taking experimental conditions into account. However, experimental artifacts are a major concern in this case.
Forward gated-diode measurement of filled traps in high-field stressed thin oxides

The forward gated-diode monitoring technique can find its potential applications in assessing the filled traps in MOSFET thin oxides, which are subjected to high-field stressing and then followed by a hot-electrons filling scheme. Our measurement of the gate voltage shift associated with the forward current peak produces a power law relation between the filled trap density and the electron stress fluence, indeed in close agreement with that obtained by MOSFET threshold voltage shift.
I T ] 3 0 O ct 2 01 9 Asymptotic Divergences and Strong Dichotomy ∗ †

The Schnorr-Stimm dichotomy theorem [31] concerns finite-state gamblers that bet on infinite sequences of symbols taken from a finite alphabet Σ. The theorem asserts that, for any such sequence S, the following two things are true. (1) If S is not normal in the sense of Borel (meaning that every two strings of equal length appear with equal asymptotic frequency in S), then there is a finite-state gambler that wins money at an infinitelyoften exponential rate betting on S. (2) If S is normal, then any finite-state gambler betting on S loses money at an exponential rate betting on S. In this paper we use the Kullback-Leibler divergence to formulate the lower asymptotic divergence div(S||α) of a probability measure α on Σ from a sequence S over Σ and the upper asymptotic divergence Div(S||α) of α from S in such a way that a sequence S is α-normal (meaning that every string w has asymptotic frequency α(w) in S) if and only if Div(S||α) = 0. We also use the Kullback-Leibler divergence This research was supported in part by National Science Foundation Grants 1247051, 1545028, and 1900716. Part of this work was supported by a grant from the Spanish Ministry of Science, Innovation and Universities (TIN2016-80347-R) and was partly done during a research stay at the Iowa State University supported by National Science Foundation Research Grant 1545028.
Continuity of the spectra for families of magnetic operators on Z d

For families of magnetic self-adjoint operators on Z d whose symbols and magnetic ﬁelds depend continuously on a parameter (cid:2) , it is shown that the spectrum of these operators also varies continuously with respect to (cid:2) . The proof is based on an algebraic setting involving twisted crossed product C ∗ -algebras.
The ℋ∞ synchronization of nonlinear Bloch systems via dynamic feedback control approach

We consider an ∞ synchronization problem in nonlinear Bloch systems. Based on Lyapunov stability theory and linear matrix inequality formulation, a dynamic feedback controller is designed to guarantee asymptotic stability of the master-slave synchronization. Moreover, this controller reduces the effect of an external disturbance to the ∞ norm constraint. A numerical example is given to validate the proposed synchronization scheme.
Counterfeiting and Consumption Externalities - A Closer Look

Counterfeiting of trademarked products is an increasing problem in national and international trade. We contribute to the analysis of how counterfeiting affects markets by extending the work of Grossman and Shapiro (1988a) on consumption externalities in prestige good markets. We model a general aversion towards large levels of output (denoted prestige externalities) interacting with a firm-specific aversion towards the presence of copies in particular (pirate externalities). The framework is used to examine several policy-relevant questions. First, we examine how market prices depend on these externalities and provide conditions for counterfeiting as an equilibrium outcome. Second, we compare market outcomes to outcomes in otherwise identical markets that are not subject to prestige externalities. Third, we describe how the substitutability between copies and originals are related to prestige- and pirate externalities respectively. Fourth, we compare market prices to prices chosen by a benevolent social planner. Finally, we re-visit some policy issues previously discussed in the literature.
FEED STUFF PRODUCTION FROM METHANOL BY METHYLOTROPHIC MICROORGANISMS

Methanol has been of great interest as a substrate for production as a novel feed grade protein in Iran. Up to 160 methylotrophic strains were isolated at the Jahad-e Agriculture Research Engineering Center for Scienti c Research and various batch experiments were carried out at di erent pH, temperature, agitation, aeration rate and methanol concentrations. By these experiments, optimum production conditions were determined for one of the strains using the Taguchi method. The results showed optimum pH around 8 at temperatures of 26 to 30C, aeration equal to 3 vvm and agitation about 800 rpm. The methanol was found to be optimum at concentration equal to 18 g.l? 1 . In this condition, the biomass yield coecient was 0.52 g/g methanol, biomass dry weight was 20-25 g/l and the crude protein content was about 70- 78%. A deep jet fermentor of 1 m3 capacity, with a working volume of 600 liters, was used for SCP production using isolated strains. In this continuous system, dilution rates ranging from 0.15 to 0.2 lit.h? 1 were used to establish optimal condition for biomass production. Under this condition, 30 kg cell dry weight per day was obtained. These experiments showed that the selected methylotrophic strain has good potential for SCP production from methanol as a substrate.
EFFECT OF COHERENT MOVING STIMULUS ON THE VISUAL EVOKED POTENTIAL (CMVEP)

This paper describes research on visually evoked potential by motion stimulus through the use of electroencephalography. The purpose was to investigate the human perception of coherent motion and incoherent motion by conducting experiments to determine the response to a coherent moving stimulus. The response was further verified by varying the stimulus parameters and using several different approaches, based on current understanding of the motion detection mechanism in the neural system. Positive results from the experiment provide further evidence for the proposed motion detection mechanism. Based on the results of the experiments, the properties of the coherent motion stimulus evoked potential are characterized.
Cogging torque minimization of the double stator cup-rotor machine

This paper discusses the cogging torque minimization of a Double Stator Cup-Rotor (DSCR) Machine. It is an integration of two permanent magnet machines, for use in applications of wind energy generation. By investigation, it is shown that an optimum pole-slot combination can be selected, under design specifications, to achieve the minimum cogging torque. 2-D Finite Element Modelling and Analysis (FEM) is used in this paper. Streszczenie. W artykule opisano zagadnienie minimalizacji momentu zaczepowego w maszynie typu DSCR (ang. Double Stator Cup-Rotor). Maszyna taka ma zastosowanie jako generator do turbin wiatrowych. W analizie wykazano, ze wybranie optymalnego stosunku bieguny/zlobki przy projektowaniu pozwala na minimalizacje tego momentu zaczepowego. W pracy zastosowano modelowanie 2-D oraz analize metodą elementow skonczonych. (Minimalizacja momentu zaczepowego w maszynie DSCR).