Miracle-dz/UniFAR-FTUs huggingface dataset:
Pairwise Diversity Measures Based Selective Ensemble Method

Effective generating individual learners with strong generalization ability and great diversity is the key issue of ensemble learning.To improve diversity and accuracy of learners,Pairwise Diversity Measures based Selective Ensemble (PDMSEN) is proposed in this paper.Furthermore,an improved method is studied to advance the speed of the algorithm and support parallel computing.Finally,through applying BP neural networks as base learners,the experiment is carried out on selected UCI database and the improved algorithm is compared with Bagging and GASEN (Genetic Algorithm based Selected Ensemble) algorithms.Experimental results demonstrate that the learning speed of the proposed algorithm is superior to that of the GASEN algorithm with the same learning performance.
Black Student Engagement: Resilience & Success under Duress

This study is an investigation of the factors influencing student engagement and success among Black/African American and African identified college students. Nine focus groups were conducted with a total of 41 students focusing on their institutional supports, barriers to success, and their own individual and collective efforts to be successful despite barriers. Several themes were discovered in the analysis, including barriers to Black student success and sources of
Surfing the Web: the role of Social-Support in the adolescents’ Internet use

This research analyzes what predictors determine either a problematic internet use (PIU) or a functional Internet use (FIU) in 574 adolescents (303 females and 271 males). A cross-sectional study was proposed based on the compilation of an online questionnaire. It was hypothesized that Online Social-Support positively predicts PIU only when Offline Social-Support is low and Online Social-Support positively predicts FIU only when Offline Social-Support is high. Results show that Online Social-Support doesn't predict PIU, while, Offline Social-Support negatively affects It. FIU isn't affected by Offline Social-Support, while Online Social-Support predicts it. Gender differences occurs in PIU, Offline Social-Support and number of acquaintances in favor of males.
21st Century skills: a perspective from England

A review of the system of education in England is provided. A review of literature of 21st century skills and what their place might be in a curriculum is presented. There is discussion of how 21st century skills are developed in early years, primary and secondary stages. Post-16 and higher education provision are critically explored, with the findings of an institutional research project applied to the existing literature. The conclusion proposes that the pedagogical pressures of performativity make it challenging to introduce 21st century skills to the primary and secondary phases of education, largely due to the issues of how to assess the development of these skills. Nevertheless, there is a clear imperative to support teachers in both the development and assessment of these skills across the full age range.
A LIDERANÇA COACHING EXERCIDA PELOS ENFERMEIROS NO CONTEXTO HOSPITALAR

Objetivo: identificar e comparar a autopercepção dos enfermeiros e a percepção de auxiliares/técnicos de enfermagem quanto às práticas de Liderança Coaching. Método: estudo transversal, realizado em 2016, com 69 enfermeiros e 233 auxiliares/técnicos de enfermagem de dois hospitais públicos paulistas. Utilizaram-se dois questionários validados acerca do exercício da liderança Coaching pelo enfermeiro, relacionados à autopercepção do enfermeiro e à percepção do técnico e auxiliar de enfermagem.Resultados: dentre as quatro dimensões da Liderança Coaching, “comunicação” foi a mais reconhecida. No Hospital A, constatou-se semelhança na percepção da prática de liderança exercida pelos enfermeiros entre as duas categorias. No Hospital B, a autopercepção dos enfermeiros acerca do exercício da Liderança Coaching foi maior, quando comparada à percepção dos auxiliares/técnicos, exceto para a dimensão “comunicação”. Conclusão: a Liderança Coaching e suas dimensões podem beneficiar as instituições e a enfermagem na melhor gestão de suas equipes.
Adiponectin: A player in the pathogenesis of hormone-dependent cancers

Hormone-dependent cancers are a major cause of morbidity and mortality in both genders. Accumulating evidence suggest that adiponectin, an adipokine with multifaceted functions, is implicated in the pathogenesis of several malignancies. In the present review, we discuss the existing data regarding this relationship. Several observational studies showed that low adiponectin levels are associated with higher risk for breast, cervical, endometrial, ovarian and prostate cancer. A relationship between adiponectin and the aggressiveness of some of these tumors has also been reported. In vitro studies reported that adiponectin inhibits the proliferation and induces apoptosis of breast, cervical, endometrial, ovarian and prostate cancer cells. Given the high prevalence of these cancers and the substantial associated morbidity and mortality, the role of agents that increase adiponectin levels and/or stimulate its activity should be evaluated for the prevention and management of these common tumors.
Neural Network Based Noise Identification in Digital Images

Image noise is unwanted information in an image and can occur at any moment of time such as during image capture, transmission, or processing and it may or may not depend on image content. In order to remove the noise from the noisy image, prior knowledge about the nature of noise must be known otherwise noise removal causes the image blurring. Identifying nature of noise is a challenging problem. Many researchers have proposed their ideas on image noise identification and each of the work has its assumptions, advantages and limitations. In this paper, we proposed a new methodology based on neural network for identifying the different types of noise such as Non Gaussian, Gaussian white, Salt and Pepper and Speckle noise.
The relationship between alexithymia and career decision-making self-efficacy among Tenth and Eleventh-grade students in Muscat Governorate

The purpose of this study was to examine the relationship between alexithymia and career decision -making self-efficacy among Tenth and Eleventhgrade students in Muscat Governorate. Alexithymia Scale (AS), and CDMSE Short Form were administered to a total sample of 556 students of Tenth and Eleventh grades (n = 278) males and (n = 278) females. Findings revealed that the level of alexithymia was less than the mean of items, while the level of CDMSE was more than the mean of items, as well as there was no significant correlational relationship between alexithymia and CDMSE. The results also revealed that there were significant gender differences in alexithymia, while there were no significant gender differences in CDMSE. With regard to GPA, the findings revealed that there were no significant differences in alexithymia, while there were significant differences in CDMSE. Conclusion: It concludes that although there was no significant correlational relationship between alexithymia and career decision-making self-efficacy, alexithymia negatively affects individuals’ decision -making in their own lives.
Somatic embryogenesis of Arabica coffee in temporary immersion culture: Advances, limitations, and perspectives for mass propagation of selected genotypes

Culture in temporary immersion systems (TIS) is a valuable tool for the semi-automation of high frequency somatic embryogenesis of coffee. This system allows the intermittent exposure of explants to liquid medium in cycles of specific frequency and duration of immersion with renewal of the culture atmosphere in each cycle. TIS have revolutionized somatic embryogenesis of coffee plants as an alternative for scaling up and reducing costs associated with labor-intensive solid media culture. In Central America, somatic embryogenesis is employed on a commercial scale to produce F1 Coffea arabica hybrids. In Asia and Africa, somatic embryogenesis is used for the multiplication of selected genotypes of C. arabica and C.canephora. Somatic embryogenesis of coffee plants is considered a model system for woody species due to its biological versatility and low frequency of somaclonal variation. Nevertheless, the success of somatic embryogenesis for mass propagation of coffee plants depends on the development, optimization, and transfer of complementary technologies. Temporary immersion using the RITA® bioreactor is, so far, the best complementary tool for somatic embryogenesis of Arabica coffee for a single recipient with simple changes in liquid media. Likewise, high volume bioreactors, such as 10-L glass BIT® and 10-L flexible disposable plastic bags, have been successfully used for somatic embryogenesis of other coffee species. These bioreactors allow the manipulation of thousands of embryos under semi-automated conditions. The protocols, advantages, and benefits of this technology have been well documented for organogenesis and somatic embryogenesis pathways. However, adaptation in commercial laboratories requires technical and logistical adjustments based on the biological response of the cultures as well as the costs of implementation and production. This review presents the historical and present background of TIS and its commercial application and, in particular, pertinent information regarding temporary immersion culture for C. arabica somatic embryogenesis. The main limitations of this technology, such as hyperhydricity, asynchrony, and developmental abnormalities, are examined, and a critical analysis of current knowledge regarding physiological, biochemical, and molecular aspects of the plant response to temporary immersion is offered. Further, perspectives are provided for understanding and solving the morpho-physiological problems associated with temporary immersion culture of coffee plants. Systematic Review Registration:
Tailored light emission from color centers in nanodiamond using self-assembled photonic crystals

The defect centers in solid-state materials especially the nitrogen-vacancy (NV) centers in diamond have shown a tremendous potential for their utilization in quantum technology applications. However, they exhibit certain drawbacks such as the feeble zero phonon line with huge phonon contribution and the higher lifetime values. Here, we present a novel approach to control the spontaneous emission from NV centers in nanodiamond using engineered self-assembled photonic crystals. Using two complimentary emission measuring geometries at room temperature, we show a 63% suppression and 17% enhancement of NV center emission intensity using photonic stopgap, supported with simulations. The emission rates are modified in a broad spectral range of NV center emission and are consistent with the Barnett–Loudon sum rule. The results are crucial for emerging quantum technologies using NV centers in diamond.
Impact of Adverse Childhood Experiences on Language Skills and Promising School Interventions

The influence of adverse childhood experiences (ACEs) on the developing child across several domains of functioning has much theoretical and empirical support. Yet, surprisingly, the impact of ACEs on the development of language skills specifically remains somewhat understudied. The present report provides a brief review of research on ACEs and associated impacts on brain functioning and on language skills development specifically. Trauma-informed practices are discussed, with a specific focus on school-based trauma-informed programs. Next steps to explore in future research are then provided.
Cooperative Positioning in Vehicular Networks

This chapter introduces the concept of Cooperative Positioning (CP) for vehicular networks, or more precisely, VANETs (Vehicular Adhoc NETworks), as an application of DSRC (Dedicated Short Range Communication). It includes a comprehensive review of available and hypothetical vehicular positioning technologies. Amongst these, the importance of CP for Location Based Services using DSRC is emphasized, and some important issues are addressed that need to be resolved in order to implement CP successfully with standard DSRC infrastructure. The performance bounds of CP are derived. Ranging between vehicles is identified as the main hurdle to be overcome. Time-based techniques of ranging are introduced, and the bandwidth requirements are investigated. The robustness of CP to inter-node connection failure as well as GPS (Global Positioning System) dropout is demonstrated via simulation. Kalman Filter performance for CP is evaluated, and proven to be efficient under conditions such as the consistency of GPS signal availability ranging between vehicles. CP has, however, shown to increase the positioning accuracy to 1-meter level, even in the deep urban valleys where vehicles frequently become invisible to navigation. Overall, CP is proven to be a viable concept and worthy of development as a DSRC application.
PERSONALITY’ SEGMENTATION ON THE FACEBOOK USER IN THAILAND

Nowadays social network such as Facebook, has become very popular online communities. These social networks are focus on sharing people’s interests and activities. There are many impacted factors on the use of social network. Furthermore, not only the impacted factors that make the differences on use of it but also the user personality traits play as a significance role of shaping their behavior of usage. While many studies concentrate on comparing between Introversion and Extraversion, in fact people have combined more than one personality in themselves. They may have the lead of personality but more likely to share between each personality. This research intends to find out the segmentation in term of usage behavior of Facebook which based on Big-Five personality traits. Therefore factor analysis is used, following by cluster analysis and testing the hypothesis by Chi-square test. Judgmental sampling technique will be used for data collection process
Relationship of Years of Experience to Aggression, Empathy, and Alcohol Intake Among Attorneys

Relationship of Years of Experience to Aggression, Empathy, and Alcohol Intake Among Attorneys by Ashley Frantz MS, Walden University, 2014 MA, Argosy University, 2011 BS, Kaplan University, 2009 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Clinical Psychology
“We can Shapeshift and Build Bridges”: Bisexual Women and Gender Diverse People of Color on Invisibility and Embracing the Borderlands

Abstract Bisexual women and gender diverse people of Color (biWGDPoC) challenge many traditional notions of gender, sexuality, and race, possessing identity categories that enable them to blend with different groups and communities. Although this invisibility grants safety in some contexts, it may also be a source of stress. The present study involved thematic analysis of qualitative survey responses from biWGDPoC, in which participants discussed passing and visibility. Notable themes included invisibility at the intersections of sexual, gender, and ethnoracial identity; skin tone and biracial identity; the exacerbated isolation that results from lack of heritage language; feelings of identity betrayal when dating (White) cisgender men; and biWGDPoC-specific challenges. Novel positive perspectives on identity invisibility also emerged, in which participants discussed finding privilege in fluency and using their ability to pass to advocate for others. Throughout these topics, participants note femininity as a factor in (in)visibility, as well as notions of falsehood and diminished self-worth.
GPU-based Parallel SVM Algorithm

A new parallel and incremental support vector machine(SVM)algorithm for the classification of very large datasets on graphics processing units(GPUs)is presented.SVM and kernel related methods have shown to build accurate models but the learning task usually needs a quadratic program so that this task for large datasets requires large memory capacity and long time.A recent least squares SVM(LS-SVM)proposed by Suykens and Van-dewalle for building incremental and parallel algorithm is extended.The new algorithm uses graphics processors to gain high performance at low cost.Numerical test results on UCI and Delve dataset repositories show that this parallel incremental algorithm using GPUs is about 130 times faster than its CPU implementation and often significantly faster(over 2 500 times)than state-of-the-art algorithms like LibSVM,SVM-perf and CB-SVM.
Secure Scalar Product Computation of Vectors in Cloud Computing

The security problem is one of the key issues of cloud computing research.A secure scalar product computation scheme of vectors was presented in the cloud computing model,which provided correctness verification for computation result and privacy preservation for data simultaneously.Based on the algebraic properties of vector and scalar product of vectors,the transformation vector and mirror vector were constructed for the original vector,which enabled the client to verify the correctness of the computation results.The existing privacy preserving scalar product computation protocol of vectors between two parties was extended to three parties in the cloud computing model.Security analysis demonstrated that the scheme could resist a variety of possible threats.Experimental results showed the efficiency of the scheme.
An Improved Power Control Game Algorithm in Cognitive Radios

In cognitive radio networks,under the premise of cognitive users satisfying the target SINR,in order to reduce each user's transmit power,non-cooperative game can be used.In this paper,by improving the K-G algorithm of power control,an power control game algorithm based on the comprehensive cost function is proposed,and the new algorithm realizes non-cooperative game control of cognitive users' transmit power.Then the existence and uniqueness of the Nash equilibrium solution of the utility function are proved for the proposed KG-CP algorithm.The simulation results have shown that,compared with the classical SINR balancing algorithm and the K-G algorithm,the proposed algorithm can significantly reduce cognitive users' transmit power.And then compare and analyze the performance of the new algorithm under different numbers of users and different adjustment factors.
Obtención de documentos de investigación sobre la competitividad de las pequeñas y medianas empresas: un enfoque basado en las redes de autores

Este estudio tiene como objetivo presentar un análisis cientométrico, basado en mapas de redes de autores, para determinar los autores más influyentes y relevantes con trabajos publicados sobre el tema Pequeñas y medianas empresas, la competitividad y su medición, incluido el uso de indicadores clave de rendimiento. La investigación académica se basa en la prospección para recuperar los estudios de investigación más relevantes y establecer vínculos con autores de grupos de investigación internacionales clave. Para facilitar este estudio, utilizamos los resultados de la investigación de las bases de datos Scopus y Web of Science, debido a su número significativo de artículos científicos indexados. Los datos extraídos fueron compilados y analizados a través de redes de autores utilizando el software estadístico Sci2 Tool, que es compatible con el análisis temporal, geoespacial, tópico y de redes. Este estudio también intenta señalar las tendencias de investigación y las brechas en esta área. Los resultados obtenidos se ilustran mediante mapas de redes de autores, que revelan los principales autores y grupos de temas de investigación, mejorando así el acceso a la información de una manera científica.
K-link+: A P2P Semantic Virtual Office for Organizational Knowledge Management

This chapter introduces a distributed framework for OKM (Organizational Knowledge Management) which allows IKWs (Individual Knowledge Workers) to build virtual communities that manage and share knowledge within workspaces. The proposed framework, called K-link+, supports the emergent way of doing business of IKWs, which allows users to work at any time from everywhere, by exploiting the VO (Virtual Office) model. Moreover, since semantic aspects represent a key point in dealing with organizational knowledge, K-link+ is supported by an ontological framework composed of: (i) an UO (Upper Ontology), which defines a shared common background on organizational knowledge domains; (ii) a set of UO specializations, namely Workspace Ontologies or Personal Ontologies, that can be used to manage and search content; (iii) a set of COKE (Core Organizational Knowledge Entities) which provides a shared definition of human resources, technological resources, knowledge objects, services; and (iv) an annotation mechanism that allows users to create associations between ontology concepts and knowledge objects. K-link+ features a hybrid (partly centralized and partly distributed) protocol to guarantee the consistency
Transparency in Organizing: A Performative Approach

English) This dissertation provides a critical analysis of transparency in the context of organizing. The empirical material is based on qualitative studies of international cooperative organizations. The dissertation seeks to contribute to transparency and organizing scholarship by adopting a communication centred approach to explore the implications of pursuing ideals of transparency in organizational relationships. The dissertation is comprised of four papers each contributing to extant debates in organizational studies and transparency literature. The findings indicate that transparency, in contrast to being a solution for efficiency and democratic organizing, is a communicatively contested process which may lead to unintended consequences. The dissertation shows that transparency is performative: it can impact authority by de/legitimating action, shape the processes of organizational identity co-construction, and its intersection with new media technologies can create tensions. Thus, the dissertation questions instrumental tendencies which regard transparency as full disclosure, the opposite of secrecy, and a way to achieve a consistent organizational identity. The dissertation provides a framework of organizational transparency which underlines its negotiated, power-infused and paradoxical nature.
Assessing the consequences of decentralizing biomedical research

Advancements in technology are shifting the ways that biomedical data are collected, managed, and used. The pervasiveness of connected devices is expanding the types of information that are defined as ‘health data. ’ Additionally, cloud-based mechanisms for data collection and distribution are shifting biomedical research away from traditional infrastructure towards a more distributed and interconnected ecosystem. This shift provides an opportunity for us to reimagine the roles of scientists and participants in health research, with the potential to more meaningfully engage in partnership across the research process. At the same time, these emerging practices present a potential to expose research participants to unanticipated and unintended consequences. Social norms and policy can help to mitigate these risks, but their development is often slow relative to the pace of technological advances and, as such, they can become reactive rather than prospective. As an alternative, the integrated development of data governance structures within technological advancements, supports their effective implementation, evaluation and evolution in a manner that can balance the benefits and risks of biomedical researcher in a decentralized ecosystem.