Miracle-dz/UniFAR-FTUs huggingface dataset:
Suggestions and Recommendations on Statistical Analysis and Research Methodology

An inappropriate use of statistical methods may be associated with incorrect results, capable of leading to erroneous clinical practices, which can sometimes be a disadvantage for patients. False positive results will hinder the implemen-tation of future studies that are used to restore the truth, ending up being difficult to be justified. On the other hand, false negative results may stimulate unnecessary research studies and a waste of resources. The problem is to determine what is good and what is bad, what is lofty and what is mediocre, what is probable and what is improbable. This is where statistics intervenes; if rigorously applied, it yields a precise value to the probability of occurrence of the studied effect.The Romanian Review of Laboratory Med-icine uses a working mechanism to monitor the statistical accuracy of scientific articles submit-ted to the editorial office [1]. Choosing the method of statistical analysis depends on the purpose and objectives of the study, the types of pursued variables and com-parisons that are likely to be made. A well con-ducted statistical analysis should provide the op -portunity to be firstly verified by reviewers, in order to decide whether the best statistical soft-ware respectively the best statistical tests were decided upon so as not to mislead the reader.There are situations identified in many pa-pers evaluated from a statistical point of view, when the statistical software and the statistical tests applied in statistical processing are not mentioned, or there is no reference concerning the threshold of statistical significance compared to which the results of inferential statistics are interpreted. Usually, in statistics the statistical significance threshold of 0.05 is chosen, which means that a risk of 5/100 chances was decided in order to reject the null hypothesis, even if it is true. The section from The Romanian Review of Laboratory Medicine that describes the policies of the journal and the instructions for authors contains aspects that must be observed strictly by the statistical analyses of data in studies [2-4]. For submitted papers to be published, it is compulsory to mention in the
A Phenomenological Study of Ginger Compress Therapy for People with Osteoarthritis

Abstract This paper claims rigour and sensitivity for a methodology used to explore multiple sources of data and expose the essential characteristics of a phenomenon in the human sciences. A descriptive phenomenological methodology was applied in a study of the experience of ten people with osteoarthritis receiving ginger compress therapy. The application of the phenomenological attitude, with reduction, bracketing and imaginative variation, allowed multiple sources of data – written, pictorial and oral – to be explicated. The applied methodology used is described in this paper, with its six clearly defined steps illustrated by examples from the study. The findings demonstrate that phenomenological reduction enabled an indication of the potential benefits of ginger compress treatment as a therapy for people with osteoarthritis.
A weighted overlap-add based wave domain adaptive filtering algorithm

The application of adaptive algorithms like noise reduction or echo cancellation on Wave Field Synthesis and Wave Field Analysis may be performed by using Wave Domain Adaptive Filtering in order to limit the computational complexity. The computational cost can be furthermore reduced taking advantage of filter banks theory. Moreover, the signal decomposition into subbands allows to achieve a faster convergence rate and a lower mean-square error for these adaptive algorithms. In this paper we introduce a Weigthed Overlap-Add algorithm for subband processing: it is used to design DFT filter banks where no relation between number of subbands and decimation factor is required. We will show how this scheme leads to the expected results and even to a better behaviour of the transformations involved in Wave Domain Adaptive Filtering.
Multivariate Beta Regression with Application in Small Area Estimation

Abstract Multivariate beta regression models for jointly modelling two or more variables whose values belong in the (0,1) interval, such as indexes, rates or proportions, are proposed for making small area predictions. The multivariate model can help the estimation process by borrowing strength between units and obtaining more precise estimates, especially for small samples. Each response variable is assumed to have a beta distribution so the models could accommodate multivariate asymmetric data. Copula functions are used to construct the joint distribution of the dependent variables; all the marginal distributions are fixed as beta. A hierarchical beta regression model is additionally proposed with correlated random effects. We present an illustration of the proposed approach by estimating two indexes of educational attainment at school level in a Brazilian state. Our predictions are compared with separate univariate beta regressions. The inference process was conducted using a full Bayesian approach.
Effective β-lactam antibiotics for Agrobacterium tumefaciens suppression in indica rice calli

Se evaluo la actividad antibacteriana de siete antibioticos β-lactamicos sobre la cepa EHA105 de Agrobacterium tumefaciens inoculada en callos de arroz. Para detectar el Agrobacterium persistente en los callos, se cultivo en medio LB solido un extracto de callos infectados, y se conto el numero de unidades formadoras de colonias por gramo de callo. La bacteria se elimino totalmente en la fase de regeneracion utilizando 250 mg/l de cualquiera de los antibioticos probados. Se evaluo ademas el efecto de los β-lactamicos sobre el crecimiento de los callos y la regeneracion de plantas. El incremento del peso de los callos fue similar cuando se utilizo 100 y 250 mg/l de antibiotico, pero disminuyo significativamente cuando la concentracion se elevo a 500 mg/l. La regeneracion de plantas ocurrio a partir del 80% de los callos cultivados con 100 y 250 mg/l de antibiotico. En la regeneracion se distinguieron dos respuestas morfogenicas: embriogenesis somatica y organogenesis adventicia.
Relevant test set using feature selection algorithm for early detection of dyslexia

The objective of feature selection is to find the most relevant features for classification. Thus, the dimensionality of the information will be reduced and may improve classification’s accuracy. This paper proposed a minimum set of relevant questions that can be used for early detection of dyslexia. In this research, we investigated and proposed a feature selection algorithm that is correlation based feature selection (CFS) and generate classification models based on five different classifiers namely Bayes Net, Simple Logistic and Decision Table. This paper used dataset collected from a computer based screening test developed consists of 50 questions. The result shows that the new set of question suggested from the feature selection algorithm was significantly achieved 100% accuracy of classification and less time was taken for conducting screening test among students. Keywords : feature selection; dyslexic children; computer based screening test.
Making protected area networks effective for marine top predators

The design of ecological networks of marine protected areas (MPAs) is generally based on the identification of areas of high abundance for species of conservation concern or focal biodiver- sity targets. We discuss the applicability of this approach to marine top predators and contend that the design of comprehensive and effective MPA networks requires the following 7 principles: (1) the use of wildlife-habitat modelling and spatial mapping approaches to develop testable model predic- tions of species distribution and abundance; (2) the incorporation of life-history and behavioural data into the development of these predictive habitat models; (3) the explicit assessment of threats in the design and monitoring process for single- or multi-species MPAs; (4) the serious consideration of dynamic MPA designs to encompass species which use well-defined but spatially dynamic ocean fea- tures; (5) the integration of demographic assessment in MPA planning, allowing provision of advice to policy makers, ranging from no to full protection; (6) the clear articulation of management and monitoring plans allowing retrospective evaluation of MPA effectiveness; and (7) the adoption of an adaptive management approach, essential in the light of ongoing and anticipated ecosystem changes and species range shifts in response to climate change.
The spread of infections on evolving scale-free networks

We study the contact process on a class of evolving scale-free networks, where each node updates its connections at independent random times. We give a rigorous mathematical proof that there is a transition between a phase where for all infection rates the infection survives for a long time, at least exponential in the network size, and a phase where for sufficiently small infection rates extinction occurs quickly, at most like the square root of the network size. The phase transition occurs when the power-law exponent crosses the value four. This behaviour is in contrast to that of the contact process on the corresponding static model, where there is no phase transition, as well as that of a classical mean-field approximation, which has a phase transition at power-law exponent three. The new observation behind our result is that temporal variability of networks can simultaneously increase the rate at which the infection spreads in the network, and decrease the time which the infection spends in metastable states.
Processability Theory Revisited: A Critical Approach

In order to revisit Processability, the theory which links psychology and linguistics in a very direct way to dem- onstrate what we know about languages, this paper primarily glances over the Achilles' heel of the error analysis in deli- neating the developmental patterns in the language learners. It also refers to the second way in which samples of learner language are collected over a period of time so as to identify when specific linguistic features emerge; this is what the Pro- cessability theory (PT) does. By addressing the concepts such as property and transition theories as well as the developmental and logical problems of the learners, the paper then magnifies the central hypothesis of the theory holding that at any stage of development, learners can produce and comprehend only those L2 linguistic forms which their current state of mind can handle. Later, the criticisms leveled at the theory are put forth. And finally concluding remarks wrap up the issue.
Double-Sided Cooling and Parametric Study of an IGBT Module using Finite Element Method

Power module contains one or more semiconductor switches packaged together for easy connectivity. Power semiconductor modules play a key role in a power electronic system. The module can be used to enclose diodes, FET, IGBT, or similar semiconductor switches. Nowadays, Insulated Gate Bipolar Transistors are widely used because of their good switching performance combined with fairly low conduction losses. A lot of effort has been put to develop the next generation IGBT modules of hybrid vehicles. The trend of power electronics miniaturization, both in consumer and military applications, challenges board assembly design, materials, and processes. PEs must meet strict automobile manufacturers' design criteria like weight, size, reliability, and cost when used in HEVs. Existing designs rely mainly upon over sizing the PEs or by inclusion of large heat sinks, both of which detract from size and cost criteria of automotive design criteria. In this paper, inverter module of Toyota Prius consisting of 12 pairs of IGBT devices and diodes is used. Parametric study is carried out to study the effect of number of channels of cold plate on the performance of module. Also, effect of single sided and double-sided cooling method on the maximum temperature is studied.
An exploratory factor analysis of government construction procurement problems

This study aims to apply Exploratory Factor Analysis in government construction procurement problems. The questionnaire used in this study to collect data with is the Cronbach’s Alpha Coefficient equal to 0.986. The data was collected through Web Survey and 353 participants completed the questionnaires. The data was analysed with the use of percentages, mean, standard deviation, and Exploratory Factor Analysis. When ranking the effect of each component on government construction procurement problems, it was found that the most influential component is procurement process problems, followed by internal and external influence problems, and project management and technical problems, respectively. The top 3 detailed problems on government construction procurement were: 1) Problems arising from fix announcement period, 2) Restrictions according to the regulations that all agencies need to send the announcement details by the approval date of procurement, and 3) Problems arising from fix announcement periods, especially associated to mandatory plans.
GLOBAL CONSTRUCTION ULTIMATE CONCRETE OPPORTUNITIES

This paper reviews the contribution of some researchers on blended cement and reports recent findings of a research programme focused on the exploitation of solid wastes in foamed concrete. Solid wastes studied include rice husk and its derivatives, paper sludge and recycled expanded polystyrene (EPS). The objective is to develop an environmental-friendly and economical foamed concrete for construction. A novel process for the synthesis of micronised silica for use in foamed concrete is revealed in order to provide a unique solution to construction on soft soil. Concerted collaborative effort by researchers and the readymix concrete industry is expected to enhance the competitive edge of the construction industry.
Genetic Toxicity Test of Emodin by Ames, Micronucleus, Comet Assays and Microarray Analysis Showing Differential Result

− Emodin (1,3,8-trihydroxy-6-methylanthraquinone) is a major constituent of rhubarb. Although it has been claimed to have a wild spectrum of therapeutic value, its side effects, especially in human kidney cells have not been well characterized. In this study, we have carried out in vitro genetic toxicity test of emodin and microarray analysis of differentially expressed genes in response to emodin. The result of Ames test showed mutations with emodin treatment in base substitution strain TA1535 both with and without exogenous metabolic activation. Likewise, emodin showed mutations in frame shift TA98 both with and without exogenous metabolic activation. The result of COMET assay in L5178Y cells with emodin treatment showed DNA damage both with and without exogenous metabolic activation. Emodin did not increase micronuclei in CHO cells both with and without exogenous metabolic activation. 150 Genes were selected as differentially expressed genes in response to emodin by microarray analysis and these genes would be candidate biomarkers of genetic toxic action of emodin.
New Linear Theory of Hydrodynamic Instability of the Hagen-Poiseuille Flow

New condition Re>Re_th_min=124 of linear (exponential) instability of the Hagen-Poisseuille (HP) with respect to extremely small by magnitude axially-symmetric disturbances of the tangential component of the velocity field is obtained. For this, disturbances must necessarily have quasi-periodic longitude variability (not representable as a Fourier series or integral) along the pipe axis that complies with experimental data and differs from the usually considered idealized case of pure periodic disturbances for which HP flow is stable for arbitrary large Reynolds numbers Re. Obtained minimal threshold Reynolds number is related to the spatial structure of disturbances (having two radial modes with non-commensurable longitudinal periods) in which irrational value p=1.58 of the ratio of the two longitudinal periods is close to the value of the "golden ratio" equal to 1.618.
The Role of Elaboration Moderating the Effects of Temporal Construal on Evaluation

The Construal Level Theory posits that future events are differentially construed, and thus evaluated, as a function of whether they are to be experienced in the near or distant future. We explore the question of when temporal distance influences evaluation, testing three alternative hypotheses. The results demonstrate that temporal distance only influences evaluation under thoughtful conditions. Although temporal construal effects emerge either for individuals high in need for cognition (study 1) or when individuals carefully think (study 2), they do not emerge for individuals low in need for cognition, nor when individuals do not engage in effortful thinking.
Migrant Remittances and Economic Development in Africa: A Review of Evidence

This paper reviews some of the evidence on the role of migration and remittances in African development. After a brief survey of the literature, it draws some lessons from two surveys performed among people from the Senegal River valley, in Mali and in Senegal. The paper makes two main points: (i) migration cannot be understood as an individual decision, and must instead be regarded as a collective decision made by the extended family or the village. It involves the strategic choice of sending its best offspring away with a view to diversify its risks, and to build a social network. Then, remittances are to a large extent a contingent flow, aimed at buttressing the family's consumption in case of adverse shock. However, (ii) this insurance system involves some moral hazard, as those remaining behind tend to exert less effort to take care of themselves, knowing that the migrants will compensate any consumption shortfall, with a high probability. These results undermine a very popular view about migration based on relative deprivation, and solve a puzzle that bugged this literature for nearly three decades: the rich families are more likely to send some migrant away, and thus get more remittances, while they earn less income in the village, because of moral hazard. Wealth makes them lazy, while low income does not make them poor!
Double Denial in Attitude Formation '

While expressing their attitude toward an object, people sometimes deny both the probability of attributes that would speak against the attitude and the value of these attributes. We term this kind of functioning double denial. Double denial is incompatible with expectancy-value models of attitude formation. In eight studies of attitudes, values. and beliefs, there was clear evidence for double denial. The evidence was particularly strong for items measuring salient beliefs and for items and groups of participants yielding belief ratings that strongly correlated with attitudes. The results are interpreted in terms of the social functions of values and beliefs in the construing of arguments pro or con an attitude object, It is concluded that beliefs and values are dynamic entities, continually shaped in argumentation, and that expectancy-value models of attitude are inadequate to account for the relationships among attitudes, beliefs. and values.
Channel equalization with rapid convergence based on ε-support vector machines

In this paper, the problem of adaptive channel equalization is considered. We extend the previous work in a new direction with periodic training sequence and formulate the original channel equalization problem into the equivalent linear regression in which ϵ-support vector regression machines are proposed. Slack variables are introduced in our approach to solve the problem of quadratic programming derived from ϵ-support vector regression machines. Simulation results show that the bit error rate of the proposed equalizer based on ϵ-support vector regression machines comes near to that of the optimal equalizer and is better than that of wavelet neural network equalizer. Simulation results also support the rapid convergence of the proposed approach, which can meet the realtime requirement of time-varying channels effectively in modern digital communication systems.
A simple formula for the series of bipartite and quasi-bipartite maps with boundaries

We obtain a very simple formula for the generating function of bipartite (resp. quasi-bipartite) planar maps with boundaries (holes) of prescribed lengths, which generalizes certain expressions obtained by Eynard in a book to appear. The formula is derived from a bijection due to Bouttier, Di Francesco and Guitter combined with a process (reminiscent of a construction of Pitman) of aggregating connected components of a forest into a single tree. Résumé. Nous obtenons une formule très simple pour la série génératrice des cartes biparties ayant des bords (trous) de tailles fixées, généralisant certaines expressions obtenues par Eynard dans un livre à paraı̂tre. Nous obtenons la formule à partir d’une bijection due à Bouttier, Di Francesco et Guitter, combinée avec un processus (dans l’esprit d’une construction due à Pitman) pour agréger les composantes connexes d’une forêt en un unique arbre.
Simultaneous interpreting and working memory executive control

Working memory is a complex cognitive component responsible for maintenance of information during processing. Interpreting research has so far focused on working memory capacity rather than on the central executive functions. In the study described here, 28 professional interpreters completed a battery of four central executive tasks and three simultaneous interpretations (from English into Czech or Dutch ‘A’). The results show that: (a) certain measurable features of simultaneous interpreting are related to the central executive functions of working memory; (b) one working memory function (inhibition of distractors) seems to be related to interpreting experience, while the others (automatic response inhibition, updating, attention switching) do not; (c) the relationship between working memory and simultaneous interpreting is such that different working memory functions predict different sub-processes in simultaneous interpreting, in complex patterns. The conclusions of this study are data-driven, but in line with the current literature. More specifically, the findings support those accounts of simultaneous interpreting which emphasize attentional control as an important component of the simultaneous interpreting process.
A thermal analysis and optimization of the APT 210 kW power coupler

This paper presents the thermal analysis and heat load optimization of the continuous power 210 kW, 700 MHz RF power coupler (PC) for the Accelerator Production of Tritium (APT). The PC is a co-axial design with RF power transmitted in the annular region between two concentric cylinders. Thermally, the PC represents a link from room temperature to the superconducting niobium cavities operating at 2 K. The analysis includes all the major heat transfer mechanisms: conduction, RF joule heating in normal and superconducting materials, infrared radiation, and, forced and natural convection cooling of the inner and outer conductors. A performance comparison is given for one and two single point thermal intercepts, versus a counter-flow heat exchanger on the outer conductor. The benefits of r4educing the operating temperature of the center conductor are discussed. The variation in thermal performance of the inner and outer conductors for several operating modes is also presented.
IIPWHU@TRECVID 2016 Surveillance Event Detection

In this report we describe our system used in the TRECVID 2016[1] Surveillance Event Detection task. Our runid is IIPWHU p-WhuIIPSubmission 2 . We proposed this system for detecting certain events in surveillance videos automatically. Our system is both trained and tested using 11 hour subset of the multi-camera airport surveillance domain evaluation data and the Group Dynamic Subset which contain 2 hours of video is also used. The videos with annotations are preprocessed using optical ﬂow[2] to extract motion features, and then a model is obtained for later classiﬁcation task by applying a convolutional neural network.