Miracle-dz/UniFAR-FTUs huggingface dataset:
Leader perceptions and motivation as outcomes of followership role orientation and behavior

Followership research posits that followers differ in the way they define and enact the followership role, which can have varying effects in relation to how leaders experience their own roles and responsibilities. Drawing from the role orientation literature and newly emerging research on followership, our study examines the indirect effects of followers’ co-production (co-producing leadership outcomes) and passive (deferring to leadership influence) role orientations on leader-rated outcomes of perceived follower support, leader motivation, and follower contribution to goal attainment via followers’ voice and upward delegation behaviors. Using data from 306 dyads in a Chinese organization, our results show that follower voice and upward delegation mediate the relationships linking followers’ co-production and passive role orientations with leader-rated outcomes. Our study provides evidence that followership role orientations and behaviors differentially influence leader perceptions regarding their followers’ support, contribution to goal attainment, and leader motivation. Implications are drawn for further research on followership and the importance of considering leader outcomes as critical variables in leadership and followership literatures.
Anterior hypothalamic vasopressin regulates pair-bonding and drug-induced aggression in a monogamous rodent

After pair-bonding, male prairie voles (Microtus ochrogaster) display aggression toward novel females but not toward their female partner. Here we show that this selective aggression in pair-bonded male prairie voles is associated with increased release of vasopressin (AVP) in the anterior hypothalamus (AH). Pharmacological activation of AVP-V1a receptors (V1aR) in the AH induced selective aggression in sexually naive males, whereas V1aR blockade diminished selective aggression in pair-bonded males. Pair-bonded males also showed an increased density in V1aR binding in the AH compared to their sexually naive counterparts and overexpression of V1aR in the AH, by viral vector-mediated gene transfer, facilitated aggression toward novel females. These data demonstrate that AH-AVP is both necessary and sufficient in the regulation of selective aggression associated with pair-bonding. In the second part of this study, we examined the effects of amphetamine (AMPH) exposure on female-directed aggression and revealed the potential role of AH-AVP underlying this behavior. Repeated AMPH administration in sexually naive male prairie voles enhanced V1aR expression in the AH and induced aggression toward a familiar or unfamiliar female. In addition, this AMPH-induced aggression was blocked by intra-AH administration of a V1aR antagonist. Together, our data reveal a socioneurobiological mechanism, highlighting a critical role of AH-AVP in the regulation of aggression induced by pair-bonding or drug experience in socially monogamous male prairie voles.
The use of a self-regulated learning conceptual framework to investigate students' engagement with individualised feedback from summative clinical examinations at a UK medical school

Research regarding students’ engagement with feedback from objective structured clinical examinations (OSCEs) is currently limited. Medical students at the University of Birmingham are provided with individual comments from examiners on their performance in summative OSCEs. This thesis explores student engagement with feedback in this context, and if engagement differs depending on the level of performance in the OSCE. A self-regulated learning (SRL) conceptual framework was devised to illustrate how effective learners incorporate feedback into their learning routines, highlighting the role of reflection in this process. Three empirical studies were conducted to appraise the SRL framework. An interview study (N=11) found that students at different performance levels in the OSCE had contrasting approaches to engaging with their feedback. However, two questionnaire studies (N=180 & 233) with sub-scales to assess the level of student engagement with feedback and their propensity to reflect on their learning, found that the majority of respondents claim to cognitively engage with feedback, whilst a lower number act to improve clinical skills or knowledge. The majority of the respondents were assessed as being reflective learners. Therefore there was no association between performance levels and these attributes. There was a statistically significant association between the engagement and reflection scales, suggesting that these may be related as hypothesised in the SRL conceptual framework, but a causal relationship cannot be asserted from these results. The findings of this research indicate a gap in the current level of engagement with feedback between cognitive engagement and action. Suggestions are made for activities to ameliorate this situation, which may be relevant for similar contexts.
An automatic anti-anti-VMware technique applicable for multi-stage packed malware

The VMware Workstation virtualisation software is widely used by antivirus researchers for malware analysis. However, a large amount of current generation malware employs various anti-VMware techniques in order to resist analysis. To make things worse, these anti-VMware techniques are applied not only in the payload itself, but also in the runtime packer that is used to disguise the malicious code. Fortunately, at the present time, there is not a wide variety of anti-VMware methods in use, so the assembly code which describes the operation is quite characteristic. The issue therefore becomes exactly at what stage of the execution should one look for such code, since the actual anti-VMware code is normally heavily obfuscated. Sometimes it may only be decrypted shortly before it is executed. This paper shows that judicious automated control of a debugger can successfully be used to slither around anti-VMware detections even in sophisticated packers, such as Themida.
Comprehensive Assessment of Potential Multiple Myeloma Immunoglobulin Heavy Chain V-D-J Intraclonal Variation Using Massively Parallel Pyrosequencing

Multiple myeloma (MM) is characterized by the accumulation of malignant plasma cells (PCs) in the bone marrow (BM). MM is viewed as a clonal disorder due to lack of verified intraclonal sequence diversity in the immunoglobulin heavy chain variable region gene (IGHV). However, this conclusion is based on analysis of a very limited number of IGHV subclones and the methodology employed did not permit simultaneous analysis of the IGHV repertoire of non-malignant PCs in the same samples. Here we generated genomic DNA and cDNA libraries from purified MM BMPCs and performed massively parallel pyrosequencing to determine the frequency of cells expressing identical IGHV sequences. This method provided an unprecedented opportunity to interrogate the presence of clonally related MM cells and evaluate the IGHV repertoire of non-MM PCs. Within the MM sample, 37 IGHV genes were expressed, with 98.9% of all immunoglobulin sequences using the same IGHV gene as the MM clone and 83.0% exhibiting exact nucleotide sequence identity in the IGHV and heavy chain complementarity determining region 3 (HCDR3). Of interest, we observed in both genomic DNA and cDNA libraries 48 sets of identical sequences with single point mutations in the MM clonal IGHV or HCDR3 regions. These nucleotide changes were suggestive of putative subclones and therefore were subjected to detailed analysis to interpret: 1) their legitimacy as true subclones; and 2) their significance in the context of MM. Finally, we report for the first time the IGHV repertoire of normal human BMPCs and our data demonstrate the extent of IGHV repertoire diversity as well as the frequency of clonally-related normal BMPCs. This study demonstrates the power and potential weaknesses of in-depth sequencing as a tool to thoroughly investigate the phylogeny of malignant PCs in MM and the IGHV repertoire of normal BMPCs.
Rank Degeneracy andLeast Squares

This paper is concerned with least squares problems when the least squares matrix A is near a matrix that is not of full rank. A deenition of numerical rank is given. It is shown that under certain conditions when A has numerical rank r there is a distinguished r dimensional subspace of the column space of A that is insensitive to how it is approximated by r independent columns of A. The consequences of this fact for the least squares problem are examined. Algorithms are described for approximating the stable part of the column space of A.
Workforce Planning in Small Local Governments

The current milieu of public personnel administration is bustling with reform ideas and practices. As the public sector moves from a “civil service” to a “human resources” paradigm, adapting innovative personnel practices is increasingly becoming critical for good governance. Workforce planning (WFP) is one such innovation that allows a jurisdiction to build its long-term capacity in the face of changing work requirements, work values, technology, demography, and an array of other factors. Although the evidence on the use of WFP at the federal level is encouraging, the same is not the case at the state and local levels. There is little to nothing known about the need or the applicability of WFP in small local governments. Therefore, in the context of small local government, the article assesses the conceptual promises of WFP against the realities and capacities of governments operating at the grassroots level.
Intrusion detection using principal component analysis

Nowadays Intrusion detection systems (IDS) are very important for every information technology company which is concerned with security and sensitive systems. Even if a lot of research was already done on this topic, the perfect IDS has still not been found and it stays a hot and challenging area in computer security research. This paper presents a simple and robust method for intrusion detection in computer networks based on principal component analysis (PCA) where each network connection is transformed into an input data vector. PCA is then employed to reduce the high dimensional data vectors and thus, detection is handled in a low dimensional space with high efficiency and low use of system resources. Our experiments with the KDD Cup 99 dataset, although not yet completed, have shown that this approach is promising in terms of detection accuracy. It is also effective to identify most known attacks as well as new attacks. However, a frequent update for both user profiles and attacks databases is crucial to improve the identification rates.
Electrochemical Genotoxicity Assay Based on a SOS/umu Test Using Hydrodynamic Voltammetry in a Droplet

The SOS/umu genotoxicity assay evaluates the primary DNA damage caused by chemicals from the β-galactosidase activity of S. typhimurium. One of the weaknesses of the common umu test system based on spectrophotometric detection is that it is unable to measure samples containing a high concentration of colored dissolved organic matters, sediment, and suspended solids. However, umu tests with electrochemical detection techniques prove to be a better strategy because it causes less interference, enables the analysis of turbid samples and allows detection even in small volumes without loss of sensitivity. Based on this understanding, we aim to develop a new umu test system with hydrodynamic chronoamperometry using a rotating disk electrode (RDE) in a microliter droplet. PAPG when used as a substrate is not electroactive at the potential at which PAP is oxidized to p-quinone imine (PQI), so the current response of chronoamperometry resulting from the oxidation of PAP to PQI is directly proportional to the enzymatic activity of S. typhimurium. This was achieved by performing genotoxicity tests for 2-(2-furyl)-3-(5-nitro-2-furyl)-acrylamide (AF-2) and 2-aminoanthracene (2-AA) as model genotoxic compounds. The results obtained in this study indicated that the signal detection in the genotoxicity assay based on hydrodynamic voltammetry was less influenced by the presence of colored components and sediment particles in the samples when compared to the usual colorimetric signal detection. The influence caused by the presence of humic acids (HAs) and artificial sediment on the genotoxic property of selected model compounds such as 4-nitroquinoline-N-oxide (4-NQO), 3-chloro-4-(dichloromethyl)-5-hydroxy-2(5H)-furanone (MX), 1,8-dinitropyrene (1,8-DNP) and 1-nitropyrene (1-NP) were also investigated. The results showed that the genotoxicity of 1-NP and MX changed in the presence of 10 mg·L−1 HAs. The genotoxicity of tested chemicals with a high hydrophobicity such as 1,8-DNP and 1-NP were decreased substantially with the presence of 1 g·L−1 sediment. This was not observed in the case of genotoxins with a low log Kow value.
Implicit Beliefs About the Stability of Work Ethic: Relation With Attitudes About Conscientiousness Tests

Scott Highhouse, Advisor Research in industrial and organizational psychology has demonstrated a reluctance by practitioners to use standardized selection methods. The present study examines the perceived usefulness of one such method – conscientiousness tests. Implicit beliefs of work ethic were hypothesized to predict attitudes such that people who perceive work ethic to be malleable would view conscientiousness tests as less useful. Potential moderators were also explored. Analyses were conducted using a sample of 472 participants with selection experience recruited using Amazon’s Mechanical Turk. Results indicate that implicit beliefs do not predict the perceived usefulness of conscientiousness tests. There were no significant moderating effects. Potential reasons for the lack of a significant effect are discussed.
Adaptive and personalized learning system as workshop complement

The purpose of this research is first to (1) to determine the system flow of the existing workshop, (2) to understand the learning style and prior knowledge of each lecturer as a recommendation base for any workshops that will be applied, (3) to design ontology as the basis for system development, (4) to design and develop the system in accordance with the user requirements, (5) to provide e-learning models that fit the needs and characteristics for each lecturer, (6) to evaluate the proposed e-learning model. In this research, theoretical studies conducted on adaptive and personalized e-learning. Additional material obtained either from books or related journals as a reference in the system development. The model developed in this study were made independently in order to design more flexible ontology. Five models developed in this study, (1) prior knowledge, (2) user models, (3) the domain model, (4) content models, (5) learning path. The final output of this study is a recommendation that our proposed model can be applied as a foundation for the next stage, which is prototype development.
Fast Unsupervised Seafloor Characterization in Sonar Imagery Using Lacunarity

A new unsupervised approach for characterizing seafloor in side-looking sonar imagery is proposed. The approach is based on lacunarity, which measures the pixel-intensity variation, of through-the-sensor data. No training data are required, no assumptions regarding the statistical distributions of the pixels are made, and the universe of (discrete) seafloor types need not be enumerated or known. It is shown how lacunarity can be computed very quickly using integral-image representations, thereby making real-time seafloor assessments on-board an autonomous underwater vehicle feasible. The promise of the approach is demonstrated on high-resolution synthetic-aperture-sonar imagery of diverse seafloor conditions measured at various geographical sites. Specifically, it is shown how lacunarity can effectively distinguish different seafloor conditions and how this fact can be exploited for target-detection performance prediction in mine-countermeasure operations.
Supporting Data Integration Tasks with Semi-Automatic Ontology Construction

Data integration aims to facilitate the exploitation of heterogeneous data by providing the user with a unified view of data residing in different sources. Currently, ontologies are commonly used to represent this unified view in terms of a global target schema due to their flexibility and expressiveness. However, most approaches still assume a predefined target schema and focus on generating the mappings between this schema and the sources. In this paper, we propose a solution that supports data integration tasks by employing semi-automatic ontology construction to create a target schema on the fly. To that end, we revisit existing ontology extraction, matching and merging techniques and integrate them into a single end-to-end system. Moreover, we extend the used techniques with the automatic generation of mappings between the extracted ontologies and the underlying data sources. Finally, to demonstrate the usefulness of our solution, we integrate it with an independent data integration system.
Advanced Intelligent Trajectory Tracking Design for Vehicle Systems under the Effects of Uncertain Disturbances

An intelligent control of the automated highway system for the guidance of four wheeled vehicles is proposed. The control objective is to find one control law that can automatically guide the new-generation smart vehicles when driving in the highway under the effects of uncertain disturbance as wind gust, etc. We successfully propose one control law for designing the intelligent control of four wheeled vehicles based on concepts of GPS, fuzzy control, and robust control.
Criminal Justice Majors' Basic Knowledge of U.S. Constitutional Rights and Pedagogical Implications.

Criminal justice students preparing at the university level will be required to possess knowledge and understanding of applicable constitutional law, rights and responsibilities upon entering their profession to ensure the competent execution of the duties of which they will be entrusted to perform. Students majoring in the criminal justice field of scholarship at one university situated in the Great Lakes region of the United States participated in this study by completing a pre-instruction and post-instruction questionnaire designed to measure their confidence of Amendments I, IV, X, XIV, and XV of the U.S. Constitution. The intent of this study was to provide a mechanism in which to assess student understanding of basic ideas and examples of each of the amendments. The outcome of the survey study is to provide insight to the effectiveness of instructional pedagogy in a scholarship of teaching framework for undergraduate students majoring in criminal justice. The students participating this this survey were criminal justice majors and were surveyed over four academic semesters spanning two years. The results indicate a significant difference (p <.001) between pre-survey and post-survey questionnaire aggregate scores at the alpha = . 05 level with a moderate effect size of . 45. Individual pre-survey and post-survey questionnaire scores on confidence of individual amendments were also all significant at the alpha = . 05 level but with small effect sizes. Implications of small effect sizes are interpreted with respect to program and pedagogical implications.
Mandatory Access Control for the Android Dalvik Virtual Machine

With the growing use of smartphones and other mobile devices, it becomes essential to be able to assure the user that his system and applications are doing exactly what they are supposed to do. Over the years and despite its configuration complexity, Mandatory Access Control has proven its efficiency in protecting systems. This paper proposes a solution providing a generic protection that doesn't need to modify the applications. Moreover, in order to face the complexity of defining an efficient MAC policy, a tool automatizes the generation of the policies required for the various applications. However, to efficiently guarantee the security of a system, each layer that composes it must be secured. Therefore, MAC implementations should not be limited to the operating system, but should also protect the inside of the applications. This paper presents Security Enhanced Dalvik (SEDalvik), a MAC approach for the Dalvik Virtual Machine in order to control the flows inside the Java applications running in Android. SEDalvik proposes a new mandatory protection to block the attacks that exploit the weakness of the Dalvik VM. By controlling the information flows between the Java objects, SEDalvik could prevent the new vectors of attack coming from the threat of the Java virtual machine as explained by Kaspersky Labs1. In contrast with other approaches, our solution corresponds to a self-organizing system since it transparently protects existing Java applications without any modifications. An experiment on an Android phone shows the efficiency of the protection.
Using the Multiple Intelligences as a learning intervention: a model for coaching and mentoring

The purpose of this study was to explore the ways in which Gardner’s Multiple Intelligences (MI) could be incorporated into a model for coaching and mentoring. The research was conducted through a qualitative study using Action Research. Six coach-mentors worked with six learners and devised interventions to emphasise the MI through the coaching-mentoring process in a variety of contexts. Both the impact on the progress of the learners and the impact on the practice of the coach-mentors were analysed. The study concluded by acknowledging that in emphasising a range of MI during the coaching-mentoring process learners were stimulated to progress their learning. The discipline of aiming to use all of the MI encouraged the coach-mentors to take risks in designing experiential interventions. The creation of a MI Model and a MI Toolbox for Coaching and Mentoring gave coach-mentors a structure in which to work and a language for discussing and developing their work. The Model and Toolbox exist as tangible outcomes of the study.
A new mechanism for SDN network virtualization service

Software Defined Network (SDN) is becoming a new paradigm for both WAN and enterprise networks. By separating control and data planes, SDN allows network providers to sell new services without changing their physical switches. One of the key services SDN can enable is network virtualization which allows a service provider to have a virtual slice of a network provider's physical network. While this feature empowers service providers to have dynamic networks, it is becoming more difficult for a network provider to statistically share its resource usage across multiple service providers due to the fact that service providers are reluctant to share their user information. This paper presents a new scheme that empowers network provider to maximize statistical resource sharing with service guarantee while minimizing information shared.