Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of the Emotional Education program “Happy 8-12” for the assertive resolution of conflicts among peers

Introduction. Coexistence in schools inevitably implies conflicts among peers, which can have a negative impact inboth the students’ well-being and their academic achievement. In this sense, the main objective of the present article is to introduce and describe the evaluation of the Training Program in Emotional Management Happy 8-12 . This software focuses on the education of the pupils’ emotional competences in order to solve conflicts in an assertive way. The program consists of 25 conflicts which students need to solve according to the management program of emotions developed by the Psychopedagogic Orientation Group (GROP). Method. The sample of the study consisted of 574 students of 5th and 6th grade of primary education. 301 of the participants were boys (52.4%) and 273 were girls (47.6%). Average age was 10.53, with a standard deviation of . 662. The design employed in the present work was a quasi experimental design with pretest and posttest with a control group. The instru-ments and techniques used for the evaluation were: QDE, STAIC, CES, playground climate, anecdotic registration of conflict behaviours and academic performance. Results. Our results indicated that Happy 8-12 significantly improved the emotional competences of the students, reduced anxiety levels, and ameliorated the atmosphere in both the playground and in the class, noticeably augmenting the academic success. Conclusión. The results of this study show that training the management of emotions improves students' well-being at the same time that it acts as a preventive strategy for more se-vere disruptive behaviours, such as bullying. It also optimises the coexistence in the educative centres. School multi-informant study.
What Does Multi-Pollutant Air Pollution Research Mean?

progress. A substantial amount of resources could be saved if a decision on treatment was made before a test was ordered: ‘‘intention to test is intention to treat. ’’ Unless healthcare provider and patient education about the benefits of preventive chemotherapy will be substantially improved, targeted testing for latent infection with M. tuberculosis has limited public health impact. Although desirable, a substantially improved test to better define individuals at risk of future tuberculosis does not seem imminent. It is thus all the more important that only individuals are tested who are at a high risk of tuberculosis in the future and who are fully appraised of the treatment consequences.
Role of Tomato MAPKs in HR and Resistance to C. fulvum

The Tomato MAP and Have ABSTRACT Tomato ( Solanum lycopersicum , further referred to as Lycopersicon esculentum ) plants with the Cf-4 resistance gene recognize strains of the pathogenic fungus Cladosporium fulvum that secrete the avirulence protein Avr4. Transgenic tomato seedlings co-expressing Cf-4 and Avr4 mount a hypersensitive response (HR) at 20°C, which is suppressed at 33°C. Within 120 minutes after a shift from 33°C to 20°C, L. esculentum MAP kinase (LeMPK) activity increases in the Cf-4/Avr4 seedlings. Searching tomato genome databases revealed at least 16 LeMPK sequences, including the sequence of LeMPK1 , -2 and -3 that cluster with biotic stress-related MAPK orthologues from Arabidopsis ( Arabidopsis thaliana ) and Nicotiana tabacum . LeMPK1, -2 and -3 are simultaneously activated in the Cf-4/Avr4 seedlings and to reveal whether they are functionally redundant or not, recombinant LeMPKs were incubated on PepChip Kinomics® slides carrying peptides with potential phosphorylation sites. Phosphorylated peptides and motifs present in them discriminated between the phosphorylation specificities of LeMPK1, -2 and -3. LeMPK1, -2 or -3 activity was specifically suppressed in Cf-4-tomato by virus-induced gene silencing and leaflets were either injected with Avr4 or challenged with C. fulvum secreting Avr4. Interestingly, LeMPK1 and -3 appear to play a role in the resistance response to C. fulvum whereas LeMPK2, and also LeMPK3, are required for HR. These results indicate that the LeMPKs play different and also overlapping roles in the HR and resistance upon recognition of an avirulent pathogen. resistance to C. fulvum . Tomato plants were inoculated with TRV:GFP, TRV:Cf-4, TRV:LeMPK1, TRV:LeMPK2 or TRV:LeMPK3 and injected with Avr4 or challenged with C. fulvum expressing Avr4 . A, After three weeks, a total of 160 leaflets of the TRV-inoculated MM-Cf-4 plants were injected with Avr4 protein at ten sites. The average number of sites per leaf that developed a specific HR, visible as necrosis, is shown (see Materials and Methods for details). The asterisks indicate a significantly decreased as TRV:GFP-inoculated 0.05). B, MM-Cf0 plants that are fully susceptible to C. fulvum and MM-Cf-4 plants that are fully resistant were inoculated with the indicated recombinant TRV VIGS constructs. After three weeks, the plants were inoculated with a strain of C. fulvum expressing Avr4 and GUS and leaflets were stained for GUS activity after 14 days. Leaflets representative for five independent experiments are shown in the upper panel and a magnification of GUS-stained areas is shown in the lower panel. In this panel the green margins indicate compromised resistance.
MEDICATION ADMINISTRATION ERRORS IN NEONATAL INTENSIVE CARE UNITS

Drug therapy is responsible for most of the errors occurred during the health care, and medication errors are the most frequent and severe. The present study identified the type and the frequency of errors in the administration of intravenous medications in two Neonatal Intensive Care Units. This is a cross-sectional research of observational nature performed by systematic direct observation of medication administration process. Data collection occurred in the second half of 2012 from the observation of 100 doses of intravenous drugs. The errors of medicines administration showed frequent, and the most observed were the incorrect technic administration (51%) and error time (16%). It concludes that there is need of the incorporation of a culture of safety by the part of the institutions and health professionals that in them act for decrease the rates of errors and ensuring patient safety.
Lumen Detection in Endoscopic Images: A Boosting Classiﬁcation Approach

—Intestinal lumen detection in endoscopic images is clinically relevant to assist the medical expert in studying intestinal motility. Wireless Capsule Endoscopy (WCE) produces a high number of frames. Automatic classiﬁcation, indexation and annotation of WCE videos is crucial to a more widespread use of this diagnostic tool. In this paper we propose a novel intestinal lumen detection method based on boosting. In particular, we propose a customized set of Haar-like features combined with a variant of AdaBoost to select discriminative features and to combine them into a cascade of strong classiﬁers. Experimental results show the efﬁcacy of boosted classiﬁers to quickly recognize the presence of intestinal lumen frames in a video. To better assess the accuracy of the proposed boosted classiﬁer, we present an experimental comparison with the results obtained with a Support Vector Machine using a linear kernel.
OP-JLAJ190001 1..62 ++

The law forbids discrimination. But the ambiguity of human decision-making often makes it hard for the legal system to know whether anyone has discriminated. To understand how algorithms affect discrimination, we must understand how they affect the detection of discrimination. With the appropriate requirements in place, algorithms create the potential for new forms of transparency and hence opportunities to detect discrimination that are otherwise unavailable. The specificity of algorithms also makes transparent tradeoffs among competing values. This implies algorithms are not only a threat to be regulated; with the right safeguards, they can be a potential positive force for
Fibre-based sources for biophotonic applications

Fibre-based lasers and master oscillator power fibre amplifier (MOPFA) configurations are described. These allow spectral versatility coupled with pulse width and pulse repetition rate selection in compact and efficient packages. This is enhanced through the use of nonlinear optical conversion in fibres and fibre-coupled non-linear crystals which can be integrated to provide all-fibre pump sources for diverse application. The advantages and disadvantages of sources based upon supercontinuum generation, stimulated Raman conversion, four wave mixing, parametric generation and difference frequency generation, allowing spectral coverage from the uv to the mid-infrared are considered.
OPPORTUNITIES AND GAINSAYS IN DEEP LEARNING ON BIG DATA

Deep learning is currently an extremely active research area in pattern recognition society. It has gained huge successes in a broad area of applications such as speech recognition, computer vision, and natural language processing. With the sheer size of data available today, big data brings big opportunities and transformative potential for various sectors; on the other hand, it also presents unprecedented challenges to harnessing data and information. As the data keeps getting bigger, Deep learning is coming to play a key role in providing big data predictive analytics solutions.Big data assist ML algorithms to uncover more fine-grained patterns and helps in accurate predictions . The major challenges to ML are model scalability and distributed computing.The realization of this grand potential relies on the ability to extract value from such massive data through data analytics; Deep learning is at its core because of its ability to learn from data and provide data driven insights, decisions, and predictions. In this paper first, we review the Deep learning techniques and highlight some promising learning methods in recent studies, such as representation learning, deep learning, distributed and parallel learning, transfer learning, active learning, and kernel-based learning and analyse the challenges and possible solutions of Deep learning for big data. Finally, we outline several open issues and research trends.
Modeling and Simulation of Bladder Problems in Patients with Fibromyalgia

The Fibromyalgia is a disease that associated with chronic pain disorders and is also ‎known as Fibromyalgia Syndrome (FMS). The women are more likely to suffer from fibromyalgia ‎than men. Chronic muscle pain, chronic fatigue syndrome, frequent urination, migraine, ‎depression are most important symptoms of fibromyalgia. The treatments of fibromyalgia are ‎medicinal therapies, non-pharmacological treatments and alternative treatments. Most women ‎suffering from fibromyalgia have a chronic urinary infection that can lead to incontinence. ‎The Fibromyalgia disrupts daily activity of patients and can have a serious impact on these patient’s ‎lives and work. One of the symptoms of this disease is frequent urination which results in urinary ‎incontinence.
Color Channel Characteristics (CCC) for Efficient Digital Image Forensics

Digital image forgery has become extremely easy as low-cost image processing programs are readily available. Digital image forensics is a science of classifying images as authentic or manipulated. This paper aims at implementing a novel digital image forensics technique by exploiting an image’s Color Channel Characteristics (CCC). The CCCs considered are the noise and edge characteristics of the image. Averaging, median, Gaussian and Wiener filters along with Sobel, Canny, Prewitt and Laplacian of Gaussian (LoG) edge detectors are applied to get the noise and texture features. A complete, no reference, blind classifier for image tamper detection has been proposed and implemented. The proposed CCC classifier can detect copy-move as well as image splicing accurately with lower dimensionality. Support Vector Machine is used for classification of images as authentic or tampered. Experimental results have shown that the proposed technique outperforms the existing ones and may serve as a complete tool for digital image forensics.
A COMPARATIVE ANALYSIS OF BADMINTON GAME INSTRUCTIONS EFFECT OF NON-LINEAR PEDAGOGY AND LINEAR PEDAGOGY

The recent implementation of TGfU pedagogy among Malaysian schools game curriculum challenging teachers who are comfortable with technical-skill driven Linear Pedagogy (LP). This conundrum led to this quasi experimental pre-post-test design study using n = 56 students aged 13±. 23 years old investigated Non Linear Pedagogy (NP) and LP models using badminton curriculum in terms of tactical decision making, recovery movement to base, skill execution of drop shots and smash in badminton doubles game play. Findings, as for tactical decision making, recovery to base, drop shot and smash in doubles game play, ANCOVA and ANOVA statistics indicated significant improved performance via NP compared to LP. Conclusion, implementing NP in schools would further strengthen TGfU as teachers can adjust tactics, skill tasks to the performer’s abilities and situated learning environment
BIROn - Birkbeck Institutional Research Online to researching

This paper explores possibilities for more democratic approaches to researching learning in and through everyday workplace practices. This links with a concern with who is able to speak in representations of learning at work, what is able to be spoken about and how knowing, learning and experience are inscribed in theories of workplace learning. I propose that Rancière’s notion of ‘the distribution of the sensible’, which draws attention to an aesthetic dimension of experience, knowledge and politics, provides a useful way of exploring learning in and through everyday workplace practices. The approach points to the possibility of knowledge without hierarchies and a shift from a knowledge – ignorance binary. An understanding of experience as aesthetic enables accounts of learning which counter the story of destiny in literature on learning in and through everyday practice. It also points to a very different way of doing academic research. The presupposition of equality is the point of departure in this approach and the purpose of research is the verification of equality (rather than the verification of oppression). The paper makes a significant contribution to literature on learning in and through everyday workplace practices by disrupting a prevailing view that knowledge is necessarily tied to identity.
Security for Healthcare Data on Cloud

– A large amount of healthcare data is collected and stored online all around the world. This data can be used by doctors in prognosis, patients for their understanding, insurance companies, governments and many other institutions. Cloud acts as a platform where this data can be stored and can be accessed anywhere. It decreases the cost of processing, storing and transferring the data online to merchants. The data is stored in the form of EHR – Electronic Health Records which is available online anytime and can be updated as and when the patient undergoes any treatment of diagnosis. The report data along with the supporting data like x-ray images, scan images, patient private data and treatment procedure can be stored. The major issue that needs to be dealt with at this stage is the security of the above mentioned data. This data can be misused very easily and can cause harm to the individual if fallen victim to such schemes. Encrypting the data stored online is thus very important and the key for decrypting the data should only be made available to the doctors and concerned stakeholders. Contents of this paper mention various methods of encryption and also addresses security and privacy challenges in healthcare cloud by deploying a novel framework with CPRBAC (Cloud-based Privacy-aware Role Based Access Control) model[4].
A Review Paper on Effect of Intake Manifold Design on C.I Engine Performance and Exhaust Emission

— One of the objectives of car manufacturers is to improve engine performance, reduce consumption and reduce emissions. To achieve this objective, it is important to understand the phenomena involved in the combustion chambers of engines. There are various factors that influence the engine performance such as compression ratio, atomization of fuel, fuel injection pressure, and quality of fuel, combustion rate, air fuel ratio, intake temperature and pressure and also based on piston design, inlet manifold, and combustion chamber designs etc. Geometrical design of intake manifold is one such method for the better performance of an I.C. Engine. Air swirl motion in CI engine influences the atomization and distribution of fuel injected in the combustion chamber. Intake manifolds provides Air motion to the chamber. So, to get the maximum output with the least input on a Diesel engine researchers are experimentally and Computationally working on construction of the intake manifold configurations for increase in engine performance and reduction of Exhaust Emissions. In this paper I have studied some papers and also gone through basics of my topic from various books to understand the phenomena.
Evaluating the Potential of Reflection-Based Waveform Inversion

Full waveform inversion (FWI) is a powerful tool to build high-resolution velocity models, from recorded seismic data. However, a major issue with FWI is that it fails at reconstructing the low-wavenumber components in the absence of low-frequency information in the data. Generally, for a limited-offset acquisition geometry, deep targets are only sampled by reflected waves with narrow scattering angles, which makes such failure inevitable. In this paper, we point out the limitation of conventional FWI when applied to reflection data, and review an alternative approach to overcome this limitation. The new waveform inversion formalism relies on decomposing the subsurface model into a background part that we seek to resolve, and a reflectivity part that we assume to be known. We show that separating the decoupled velocity model into long-wavelength and shortwavelength components permit us to extract the contribution of the reflected data to the background part of the velocity model.
Ergodic Capacity of Composite Fading Channels in Cognitive Radios with the Product of κ-μ and α-μ Variates

In this study, the product of two independent and non-identically distributed (i.n.i.d.) random variables (RVs) for \k{appa}-{\mu} fading distribution and {\alpha}-{\mu} fading distribution is considered. The method of the product model of RVs has been widely applied in numerous of communications fields, such as cascaded fading channels, multiple input multiple output (MIMO) systems, radar communications and cognitive radio networks (CRs). The exact series expressions of the product of two i.n. i.d. RVs X for \k{appa}-{\mu} variates and Y for {\alpha}-{\mu} variates are derived instead of Fox H-function to solve the problem that Fox H-function in the RVs product could not be implemented in popular mathematical software packages as Mathematica and Maple. Novel Exact close-form expressions of probability density function (PDF) and cumulative distribution function (CDF) of proposed models are deduced to present the series expressions of product and generalized composite multipath shadowing models. Furthermore, novel exact expressions of the ergodic channel capacity (ECC) are obtained under optimal rate adaptation with constant transmit power (ORA). At last, these analytical results are confirmed with monte-carlo simulations to evaluate spectrum efficiency over generalized composite shadowing fading scenarios in CRs.
and ICAM-1 Carcinoma Cell Line by Upregulating LFA-1 Tumoricidal Activity against a Colon IL-18 Is Involved in Eosinophil-Mediated

Eosinophils are multifunctional leukocytes that are involved in innate and adaptive immune responses through the expression of various receptors and mediators. Previously, we showed that human eosinophils and T cells shared cytotoxic activities against tumor cells that involved the g - d TCR and cell–cell contact. In this study, we investigated the molecules involved in eosinophil–tumor cell interactions. Given the role of IL-18 in cell adhesion and in protecting against colon cancer, we evaluated its role in eosinophil-mediated cytotoxicity against Colo-205, a human colon carcinoma cell line. We found that human eosinophils exerted dose- and time-dependent tumoricidal activity against Colo-205 cells. Neutralization of IL-18 signiﬁcantly reduced eosinophil-mediated Colo-205 apoptosis and inhibited cell–cell adhesion. Moreover, addition of rIL-18 led to upregulation of CD11a and ICAM-1 adhesion molecules, which were involved in the contact between eosinophils and Colo-205 cells. Our results indicated that IL-18 was involved in the eosinophil-mediated death of Colo-205 by facilitating contact between effector and target cells. These data underscored the involvement of an additional mediator in eosinophil-mediated antitumor cytotoxicity. Our ﬁndings support existing evidence that eosinophils could play a beneﬁcial role in the context of colon cancer. The Journal of Immunology , 2015, 195: 000–000.
Polygenic Risk Scores for Alzheimer's Disease and Mild Cognitive Impairment in Hispanics/Latinos in the U.S: The Study of Latinos - Investigation ofNeurocognitive Aging

Introduction: Polygenic Risk Score (PRS) are powerful summaries of genetic risk alleles that can potentially be used to predict disease outcomes and guide treatment decisions. Hispanics/Latinos suffer from higher rates of Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI) compared to non-Hispanic Whites, yet the strongest known genetic risk factor for AD, APOE-{epsilon}4 allele, has weak association with AD in Hispanics/Latinos. We evaluated PRS constructed based on Genome-Wide Association Studies (GWAS) of AD in predicting MCI in Hispanics/Latinos when accounting for APOE alleles and variants. Methods: We used summary statistics from four GWAS of AD to construct PRS that predict MCI in 4,189 diverse Hispanics/Latinos (mean age 63 years, 47% males) from the Study of Latinos-Investigation of Neurocognitive Aging. We assessed the PRS associations with MCI in the combined set of people and in groups defined by genetic ancestry and Hispanic/Latino background, and when including and excluding single nucleotide polymorphisms (SNPs) from the APOE gene region. Results: A PRS constructed based on GWAS of AD in the FINNGEN Biobank was associated with MCI (OR = 1.34, 95% CI [1.15, 1.55]), and its association was mostly driven by 158 APOE region SNPs. A PRS constructed based on a multi-ethnic AD GWAS was associated with MCI (OR=1.22, 95% CI [1.08, 1.37]) without including any APOE region SNPs. APOE-{epsilon}4 and APOE-{epsilon}2 alleles were not associated with MCI. Discussion: A combination of APOE region SNPs is associated with MCI in Hispanics/Latinos despite APOE-{epsilon}4 and APOE-{epsilon}2 alleles not being associated with MCI.