Miracle-dz/UniFAR-FTUs huggingface dataset:
Sexual and gender prejudice among adolescents and enacted stigma at school

Sexual and gender prejudice refer, respectively, to negative attitudes based on sexual orientation or gender identity or expression; enacted stigma is the behavioral expression of such attitudes. This thesis explored the possible antecedents and outcomes of enacted sexual and gender stigma in secondary school environments, as well as secondary school teachers’ perceptions of enacted sexual and gender stigma. Specific aims and research questions were addressed through a systematic literature review and a series of analytic, empirical studies. Systematic review of previous research in this area demonstrated that enacted sexual and gender stigma is associated with a diminished sense of school belonging, disruptions in educational trajectories, depression, traumatic stress, and other negative outcomes in targeted youth. Findings from survey research with adolescents suggested that their attitudes toward sexual and gender minorities have multiple correlates and possible determinants: personal characteristics such as gender, ethnicity, religiosity, and sexual attractions; social contact with lesbians and gays; attitudes toward gender non-conformity; and beliefs about lesbians and gay men. Findings from survey research with teachers showed that those who were more confident in their abilities to intervene successfully and who had stronger beliefs that intervening in the situation would produce a positive outcome had the strongest intentions to intervene in scenarios involving the bullying of sexual and gender minority students. Implications of the findings for interventions to improve the health status of sexual and gender minority youth, addressing sexual and gender prejudice, and supporting school personnel in responding to enacted sexual and gender stigma are discussed.
Experts and Novices: A Study of Reading in the High School Classroom.

IN THIS STUDY, two classes ofjunior high school pupils were observed for two school terms as they coped with the reading demands of the four main content areas Math, English, Science and Social Studies. The pupils were interviewed in the classroom while they were working at their desks. In all, observations covered some 18,000 minutes of classroom time, and more than 3,600 minutes of interviews were recorded. The interview data revealed that there is often a mismatch between pupils' "everyday" knowledge and the expert knowledge of their teachers. The surface structure of the classroom may suggest that content is being learned, while in the minds of pupils there is a maze of confusion. It is recommended that teachers use "concurrent" interviewing techniques in their own classrooms, as an insightful way of studying the coping strategies of their pupils, and monitoring their progress.
Insecure Attachment, Gender Roles, and Interpersonal Dependency in the Basque Country

Abstract Gender, gender role, and attachment style were used to predict emotional and instrumental dependency in a Basquestudent sample (N = 602). Psychometrically sound Spanish adaptations of English-language measures of dependency andattachment were created. As predicted, women were more emotionally and instrumentally dependent than men, but thesex differences were mediated by psychological masculinity and femininity. The anxious attachment dimension wascorrelated with emotional and instrumental dependency, the preoccupied rating with emotional dependency, and theavoidant attachment dimension and fearful rating with instrumental dependency. When the two attachment dimensionsand the two gender-role variables were combined to predict dependency, emotional dependency was a function ofanxious attachment and femininity; instrumental dependency was a function of anxious and avoidant attachment and lowmasculinity. Limitations and future directions are discussed. In the last 20 years there has been increasinginterest in the construct of interpersonaldependency, because of its importance forclose relationship dynamics and individualwell-being. Although some degree of depen-dency, especially during childhood, is normaland is a natural characteristic of highly socialanimals, there are also maladaptive forms ofdependency that deserve study because oftheir relevance for clinical assessment andtreatment. Excessive dependency is recog-nized in the Diagnostic and Statistical Manualof Mental Disorders as a personality disorder(DSM-IV; American Psychiatric Association,1994), and it has been linked with otherpersonality and clinical disorders (for areview, see Bornstein, 1995a). Even studiesof nonclinical samples reveal a high prev-alence of maladaptive dependency (Bartel,1995; Bornstein & Johnson, 1990), makingthis an especially important topic for furtherresearch.Birtchnell (1988) characterized the abnor-mally dependent person as one who consist-ently displays excessive dependency towardothers in ways that damage close relationshipsand threaten individual well-being. Subse-quently, the dependent personality disorder(DPD), as defined by the DSM-IV, became thestandard for therapists and researchers. DPDas defined by DSM-IV currently provides themost influential framework for the study ofpathological dependency.Although the goal of the DSM definitionand criteria was to denote a category ofindividuals needing treatment, many research-ers view personality disorders, including DPD,as ends of continua ranging from normalthrough mildly troubled to severely troubled(Livesley, 1987; Widiger & Sanderson, 1995). From this perspective, a positive diagnosis ofdependent personality disorder indicates ahigh degree of interpersonal dependency,479
UDP-glucose 4, 6-dehydratase Activity Plays an Important Role in Maintaining Cell Wall Integrity and Virulence of Candida albicans

Candida albicans, a human fungal pathogen, undergoes morphogenetic changes that are associated with virulence. We report here that GAL102 in C. albicans encodes a homolog of dTDP-glucose 4,6-dehydratase, an enzyme that affects cell wall properties as well as virulence of many pathogenic bacteria. We found that GAL102 deletion leads to greater sensitivity to antifungal drugs and cell wall destabilizing agents like Calcofluor white and Congo red. The mutant also formed biofilms consisting mainly of hyphal cells that show less turgor. The NMR analysis of cell wall mannans of gal102 deletion strain revealed that a major constituent of mannan is missing and the phosphomannan component known to affect virulence is greatly reduced. We also observed that there was a substantial reduction in the expression of genes involved in biofilm formation but increase in the expression of genes encoding glycosylphosphatidylinositol-anchored proteins in the mutant. These, along with altered mannosylation of cell wall proteins together might be responsible for multiple phenotypes displayed by the mutant. Finally, the mutant was unable to grow in the presence of resident peritoneal macrophages and elicited a weak pro-inflammatory cytokine response in vitro. Similarly, this mutant elicited a poor serum pro-inflammatory cytokine response as judged by IFNγ and TNFα levels and showed reduced virulence in a mouse model of systemic candidiasis. Importantly, an Ala substitution for a conserved Lys residue in the active site motif YXXXK, that abrogates the enzyme activity also showed reduced virulence and increased filamentation similar to the gal102 deletion strain. Since inactivating the enzyme encoded by GAL102 makes the cells sensitive to antifungal drugs and reduces its virulence, it can serve as a potential drug target in combination therapies for C. albicans and related pathogens.
Land Cover Mapping Analysis and Urban Growth Modelling Using Remote Sensing Techniques in Greater Cairo Region - Egypt

This study modeled the urban growth in the Greater Cairo Region (GCR), one of the fastest growing mega cities in the world, using remote sensing data and ancillary data. Three land use land cover (LULC) maps (1984, 2003 and 2014) were produced from satellite images by using Support Vector Machines (SVM). Then, land cover changes were detected by applying a high level mapping technique that combines binary maps (change/no-change) and post classification comparison technique. The spatial and temporal urban growth patterns were analyzed using selected statistical metrics developed in the FRAGSTATS software. Major transitions to urban were modeled to predict the future scenarios for year 2025 using Land Change Modeler (LCM) embedded in the IDRISI software. The model results, after validation, indicated that 14% of the vegetation and 4% of the desert in 2014 will be urbanized in 2025. The urban areas within a 5-km buffer around: the Great Pyramids, Islamic Cairo and Al-Baron Palace were calculated, highlighting an intense urbanization especially around the Pyramids; 28% in 2014 up to 40% in 2025. Knowing the current and estimated urbanization situation in GCR will help decision makers to adjust and develop new plans to achieve a sustainable development of urban areas and to protect the historical locations.
Beyond the Interconnections: Split Manufacturing in RF Designs

With the globalization of the integrated circuit (IC) design flow of chip fabrication, intellectual property (IP) piracy is becoming the main security threat. While most of the protection methods are dedicated for digital circuits, we are trying to protect radio-frequency (RF) designs. For the first time, we applied the split manufacturing method in RF circuit protection. Three different implementation cases are introduced for security and design overhead tradeoffs, i.e., the removal of the top metal layer, the removal of the top two metal layers and the design obfuscation dedicated to RF circuits. We also developed a quantitative security evaluation method to measure the protection level of RF designs under split manufacturing. Finally, a simple Class AB power amplifier and a more sophisticated Class E power amplifier are used for the demonstration through which we prove that: (1) the removal of top metal layer or the top two metal layers can provide high-level protection for RF circuits with a lower request to domestic foundries; (2) the design obfuscation method provides the highest level of circuit protection, though at the cost of design overhead; and (3) split manufacturing may be more suitable for RF designs than for digital circuits, and it can effectively reduce IP piracy in untrusted off-shore foundries.
Moonwalk: NRE Optimization in ASIC Clouds

Cloud services are becoming increasingly globalized and data-center workloads are expanding exponentially. GPU and FPGA-based clouds have illustrated improvements in power and performance by accelerating compute-intensive workloads. ASIC-based clouds are a promising way to optimize the Total Cost of Ownership (TCO) of a given datacenter computation (e.g. YouTube transcoding) by reducing both energy consumption and marginal computation cost. The feasibility of an ASIC Cloud for a particular application is directly gated by the ability to manage the Non-Recurring Engineering (NRE) costs of designing and fabricating the ASIC, so that it is significantly lower (e.g. 2X) than the TCO of the best available alternative. In this paper, we show that technology node selection is a major tool for managing ASIC Cloud NRE, and allows the designer to trade off an accelerator's excess energy efficiency and cost performance for lower total cost. We explore NRE and cross-technology optimization of ASIC Clouds for four different applications: Bitcoin mining, YouTube-style video transcoding, Litecoin, and Deep Learning. We address these challenges and show large reductions in the NRE, potentially enabling ASIC Clouds to address a wider variety of datacenter workloads. Our results suggest that advanced nodes like 16nm will lead to sub-optimal TCO for many workloads, and that use of older nodes like 65nm can enable a greater diversity of ASIC Clouds.
A new linearized behavioral model for solar cells

This document proposes a new mathematical model of a solar cell that can be implemented in various software platforms. The model is based on an hyperbolic tangent function and linear equations for short circuit current, open circuit voltage and saturation conductance. It incorporates the irradiation and temperature effects and fits to the physical solar cell behavior by measuring the currents and voltages at two temperature and three irradiation levels. A difference from other models is that it does not need to know implicit physical parameters and can be used in integrated circuit design software. The model is fitted to three commercial solar cells and results exhibit average relative errors less than two percent, corresponding to saturation region of solar cell current.
Heterogeneous stream processing for disaster detection and alarming

We present a novel approach for event recognition in massive streams of heterogeneous data driven by privacy policies and big data event processing. New technologies in mobile computing combined with sensing infrastructures distributed in a city or country are generating massive, poly-structured spatio-temporal data. With a view on emergencies and disasters these various data sources enable early response and offer situative insights when integrated in an on-line incident recognition system. Our hereby presented system architecture integrates multi-faceted sensing and distributed event detection to identify, label and increase confidence in detected incidents. A higher flexibility than existing event detection approaches is achieved by combination of the data streams at a round table. At the round table the data flow adjusts itself during execution of the real-time detection system. This offers more robustness in case streams appear or disappear. The developed architecture is used in nation-wide and city-level incident recognition scenarios.
A Memetic Backtracking Search Optimization Algorithm for Economic Dispatch Problem

Economic load dispatch (ELD) is a non-linear optimization problem for determining the power shared among the generating units to satisfy the generation limit constraints of each unit and minimizing the cost of power production. In this paper, we present a new hybrid algorithm by combing the standard backtracking search optimization algorithm (BSA) and the random wake with direction exploitation algorithm (RWDE). The proposed algorithm is called a memetic backtracking search optimization algorithm (MBSOA). Invoking the RWDE algorithm as a local search algorithm in the standard BSA can accelerate the convergence and refine the best obtain solution at each iteration in the proposed algorithm. The general performance of the proposed MBSOA is tested on a six-generator test system for a total demand of 700MW and 800MW and compared against three natural inspired algorithms. The experimental results show that the proposed algorithm is a promising algorithm to solve economic load dispatch problem. Keyboard: Backtracking search optimization, Random walk algorithm, Economic dispatch problem, Optimization problems.
System Descriptions of the First International Competition on Computational Models of Argumentation (ICCMA'15)

This volume contains the system description of the 18 solvers submitted to the First International Competition on Computational Models of Argumentation (ICCMA'15) and therefore gives an overview on state-of-the-art of computational approaches to abstract argumentation problems. Further information on the results of the competition and the performance of the individual solvers can be found on at this http URL
Is Mencius' Doctrine of 'Commiseration' Tenable?

Mencius regards the 'heart of commiseration' as the 'beginning of humaneness', so as to set up a universal and sufficient foundation for the Confucian ideal of humane love in the human 'heart-nature'. Through a close and critical analysis of the very text of the Mencius, however, this essay tries to show that if in the light of the fundamental spirit of Confucianism, especially in the light of the principles of 'one root' and 'love with distinctions' advocated by Mencius himself in his criticisms on Moist school, this doctrine is not tenable exactly within the Confucian framework, with the result that the ideal of humane love is always rootless in Confucian theory.
The Relationship between Career Aspiration-Current Occupation Congruence and the Career Maturity of Undergraduates.

This investigation examined the relationship between career aspiration-current occupation congruence and the career maturity of 134 undergraduates (103 women and 31 men) attending a large midwestern community college. Results revealed a significant relationship (p < .01) between aspiration-occupation congruence and two separate measures of career maturity.
The utilization of artificial intelligence in a hybrid intrusion detection system

Computer security, and intrusion detection in particular, have become increasingly important in today's business environment, to ensure safe and trusted commerce between business partners as well as effective organisational functioning. Various approaches to intrusion detection are currently being utilized, but unfortunately in practice these approaches are relatively ineffective and inefficient. New means and ways that will minimize these shortcomings must, therefore, continuously be researched and defined. This paper will propose a proactive and dynamic model, based on trend analysis, fuzzy logic and neural networks that could be utilized to minimise and control intrusion in an organisation's computer system.
Neurogenin 2 regulates progenitor cell-cycle progression and Purkinje cell dendritogenesis in cerebellar development

By serving as the sole output of the cerebellar cortex, integrating a myriad of afferent stimuli, Purkinje cells (PCs) constitute the principal neuron in cerebellar circuits. Several neurodegenerative cerebellar ataxias feature a selective cell-autonomous loss of PCs, warranting the development of regenerative strategies. To date, very little is known as to the regulatory cascades controlling PC development. During central nervous system development, the proneural gene neurogenin 2 (Neurog2) contributes to many distinct neuronal types by specifying their fate and/or dictating development of their morphological features. By analyzing a mouse knock-in line expressing Cre recombinase under the control of Neurog2 cis-acting sequences we show that, in the cerebellar primordium, Neurog2 is expressed by cycling progenitors cell-autonomously fated to become PCs, even when transplanted heterochronically. During cerebellar development, Neurog2 is expressed in G1 phase by progenitors poised to exit the cell cycle. We demonstrate that, in the absence of Neurog2, both cell-cycle progression and neuronal output are significantly affected, leading to an overall reduction of the mature cerebellar volume. Although PC fate identity is correctly specified, the maturation of their dendritic arbor is severely affected in the absence of Neurog2, as null PCs develop stunted and poorly branched dendrites, a defect evident from the early stages of dendritogenesis. Thus, Neurog2 represents a key regulator of PC development and maturation.
Wideband stacked patch antenna for modern communication systems

A wideband stacked patch antenna is presented in this paper. The proposed antenna consists of a stacked structure and rectangular shell under the finite ground of the antenna. A 91.7% bandwidth is obtained by carefully arranging the relative permittivity of the substrates of the upper and lower layer. The proposed antenna is suitable for the modern communication systems.
Functionality and the evolution of marginal stability in proteins: Inferences from lattice simulations

It has been known for some time that many proteins are marginally stable. This has inspired several explanations. Having noted that the functionality of many enzymes is correlated with subunit motion, flexibility, or general disorder, some have suggested that marginally stable proteins should have an evolutionary advantage over proteins of differing stability. Others have suggested that stability and functionality are contradictory qualities, and that selection for both criteria results in marginally stable proteins, optimised to satisfy the competing design pressures. While these explanations are plausible, recent research simulating the evolution of model proteins has shown that selection for stability, ignoring any aspects of functionality, can result in marginally stable proteins because of the underlying makeup of protein sequence-space. We extend this research by simulating the evolution of proteins, using a computational protein model that equates functionality with binding and catalysis. In the model, marginal stability is not required for ligand-binding functionality and we observe no competing design pressures. The resulting proteins are marginally stable, again demonstrating that neutral evolution is sufficient for explaining marginal stability in observed proteins.
Family Unpredictability, Parental Alcoholism, and the Development of Parentification

The current study sought to examine whether parental alcoholism and family unpredictability contribute to the development of parentification, when children take on parental roles within the family. Participants (N = 123) from 10 outpatient clinics completed surveys that included the Retrospective Family Unpredictability Scale (Ross, 1999), the Children of Alcoholics Screening Test (Jones, 1982) and the Parentification Questionnaire (Sessions & Jurkovic, 1986). Two hierarchical regression analyses confirmed that family unpredictability and parental alcoholism each made independent contributions to childhood parentification. We discuss clinical implications and suggestions for future research.
A ranking framework for entity oriented search using Markov random fields

In this work we present a general model for entity ranking that is based on the Markov Random Field approach for modeling various types of dependencies between the query and the entity. We show that this model actually extends existing approaches for entity ranking while aggregating all pieces of relevance evidences in a unified way. We evaluated the performance of our model using the INEX datasets. Our results show that our ranking model significantly out-performs leading INEX systems in the tracks of 2007 and 2008, and is equivalent to the best results achieved in the 2009 track.
OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection

When tasked to find fraudulent social network users, what is a practitioner to do? Traditional classification can lead to poor generalization and high misclassification given few and possibly biased labels. We tackle this problem by analyzing fraudulent behavioral patterns, featurizing users to yield strong discriminative performance, and building algorithms to handle new and multimodal fraud types. First, we set up honeypots, or "dummy" social network accounts on which we solicit fake followers (after careful IRB approval). We report the signs of such behaviors, including oddities in local network connectivity, account attributes, and similarities and differences across fraud providers. We discover several types of fraud behaviors, with the possibility of even more. We discuss how to leverage these insights in practice, build strongly performing entropy-based features, and propose OEC (Open-ended Classification), an approach for "future-proofing" existing algorithms to account for the complexities of link fraud. Our contributions are (a) observations: we analyze our honeypot fraudster ecosystem and give insights regarding various fraud behaviors, (b) features: we engineer features which give exceptionally strong (>0.95 precision/recall) discriminative power on ground-truth data, and (c) algorithm: we motivate and discuss OEC, which reduces misclassification rate by >18% over baselines and routes practitioner attention to samples at high-risk of misclassification.