Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Resource Development Review: Research and Implications

Introduction PART ONE: INDIVIDUAL LEARNING AND PERFORMANCE Effects of Alternative Modeling Strategies on Outcomes of Interpersonal-Skills Training - Timothy Baldwin Enhancing Human Performance - John A Swets and Robert A Bjork An Evaluation of 'New Age' Techniques Considered by the US Army Comparing Traditional and Integrative Learning Methods in Organizational Training Programs - Robert D Bretz Jr and Robert E Thompsett Measuring Mental Models - Anna L Rowe and Nancy J Cooke Choosing the Right Tools for the Job Testing Common Sense - Robert J Sternberg et al PART TWO: TEAM LEARNING AND PERFORMANCE Relations between Work Group Characteristics and Effectiveness - Michael A Campion, Gina J Medsker and A Catherine Higgs Implications for Designing Effective Work Groups Power and the Production of Knowledge: Collective Team Learning in Work Organizations - Ann K Brooks Collective Behavior and Team Performance - James E Driskell and Eduardo Salas Team-Building - Timothy McClernon and Richard A Swanson An Experimental Investigation of the Effects of Computer-Based and Facilitator-Based Interventions on Work Groups Training an Interdisciplinary Team in Communication and Decision-Making Skills - Elizabeth Cooley PART THREE: ORGANIZATIONAL LEARNING AND PERFORMANCE Understanding Organizations as Learning Systems - Edwin C Nevis, Anthony J DiBella and Janet M Gould Believing Is Seeing - Andrew C Inkpen and Mary M Crossan Joint Ventures and Organization Learning The Relationship between Organizational Transfer Climate and Positive Transfer of Training - Janice Z Rouiller and Irwin L Goldstein Organizational Learning - Nancy M Dixon A Review of the Literature with Implications for HRD Professionals Building the Learning Organization - Karen E Watkins and Victoria J Marsick A New Role for Human Resource Developers Conclusion
TREK‐1 Currents in Smooth Muscle Cells From Pregnant Human Myometrium

Expression of the stretch and arachidonic acid activated two pore K+channel TREK‐1 has recently been described in human myometrium with arachidonic acid promoting relaxation, an effect inhibited by the known TREK‐1 blocker Fluphenazine. The goal of the present study was to examine TREK‐1 currents in human myometrium. Using whole cell voltage clamp on both HEK293 cells over‐expressing human TREK‐1 and pregnant human uterine smooth muscle cells, we demonstrate the presence of K+ currents with the following properties previously reported for TREK‐1 channels: insensitivity to TEA+, outward rectification, lack of inactivation, activation by arachidonic acid, activation by intracellular acidification, activation by membrane stretch, and block by Fluphenazine. The role of TREK‐1 in human myometrium is yet to be fully defined, but TREK‐1 currents would be expected to promote uterine quiescence, the maintenance of which is required for pregnancy to proceed to term. Proper regulation or potential dysregulation of TREK‐1 could thus be important in the critical transition of the myometrium from quiescent to laboring tissue leading to both term and pre‐term birth. Supported by March of Dimes Prematurity Initiative Grant 21‐FY10‐176 and NIH HD053028 to ILOB.
E-Books in Higher Education: Nearing the End of the Era of Hype?.

© 2 0 0 8 M a r k R . N e l s o n a n d E D U C A U S E Why do screen reading advocates frequently assume that continuation of print genres is at the expense of screen reading? Why do they assume that any shift away from capital intensive printing will never shift back to less centralized, less costly local print genres? And why is the rapture displacement to screen reading always 12–18 months in the future? —futureofthebook.com, July 19, 2007 (http://www.futureofthebook.com/ 2007/07/19)
Idiopathic Pulmonary Alveolar Proteinosis as an Autoimmune Disease with Neutralizing Antibody against Granulocyte/Macrophage Colony-Stimulating Factor

Idiopathic pulmonary alveolar proteinosis (I-PAP) is a rare disease of unknown etiology in which the alveoli fill with lipoproteinaceous material. We report here that I-PAP is an autoimmune disease with neutralizing antibody of immunoglobulin G isotype against granulocyte/macrophage colony-stimulating factor (GM-CSF). The antibody was found to be present in all specimens of bronchoalveolar lavage fluid obtained from 11 I-PAP patients but not in samples from 2 secondary PAP patients, 53 normal subjects, and 14 patients with other lung diseases. It specifically bound GM-CSF and neutralized bioactivity of the cytokine in vitro. The antibody was also found in sera from all I-PAP patients examined but not in sera from a secondary PAP patient or normal subjects, indicating that it exists systemically in I-PAP patients. As lack of GM-CSF signaling causes PAP in congenital cases and PAP-like disease in murine models, our findings strongly suggest that neutralization of GM-CSF bioactivity by the antibody causes dysfunction of alveolar macrophages, which results in reduced surfactant clearance.
Structural Diversity of Bacterial Communities Associated with Bloom-Forming Freshwater Cyanobacteria Differs According to the Cyanobacterial Genus

The factors and processes driving cyanobacterial blooms in eutrophic freshwater ecosystems have been extensively studied in the past decade. A growing number of these studies concern the direct or indirect interactions between cyanobacteria and heterotrophic bacteria. The presence of bacteria that are directly attached or immediately adjacent to cyanobacterial cells suggests that intense nutrient exchanges occur between these microorganisms. In order to determine if there is a specific association between cyanobacteria and bacteria, we compared the bacterial community composition during two cyanobacteria blooms of Anabaena (filamentous and N2-fixing) and Microcystis (colonial and non-N2 fixing) that occurred successively within the same lake. Using high-throughput sequencing, we revealed a clear distinction between associated and free-living communities and between cyanobacterial genera. The interactions between cyanobacteria and bacteria appeared to be based on dissolved organic matter degradation and on N recycling, both for N2-fixing and non N2-fixing cyanobacteria. Thus, the genus and potentially the species of cyanobacteria and its metabolic capacities appeared to select for the bacterial community in the phycosphere.
The p53/p63/p73 family of transcription factors: overlapping and distinct functions.

The p53 gene is the most frequently mutated gene in human cancer. The identification of two homologues, p63 and p73, revealed that p53 is a member of a family of related transcription factors. Given that they share amino acid sequence identity reaching 63% in the DNA-binding domain, p53, p63 and p73 should have redundant functions in the regulation of gene expression. Indeed, p73 can activate p53-regulated genes and suppress growth or induce apoptosis. Moreover, p53 and p73 are both induced by DNA damage - albeit through distinct mechanisms. Other evidence, however, suggests that p63 and p73 are important for regulation of normal development. An extended C-terminal region, not found in p53, is alternatively spliced in p63 and p73. Within this C-terminal extension is a sterile &agr; motif (SAM) previously found in other proteins that regulate development. The p63-deficient mice showed developmental abnormalities. Interestingly, the human p63 gene is mutated in children who have the disease Ectrodactyly, Ectodermal dysplasia and facial Clefts (EEC) syndrome, and the disease phenotype is similar to the one of p63-deficient mice. The p63 and p73 genes are rarely mutated in human cancer, although p73 loss is observed in neuroblastoma and a subtype of T-cell lymphoma. p53, p63 and p73 appear to have overlapping and distinct functions: p53 regulates the stress response to suppress tumors; p63 is essential for ectoderm development; and p73 might regulate both the stress response and development. Because p53 and p73 are linked to different upstream pathways, this family of transcription factors might regulate a common set of genes in response to different extracellular signals and developmental cues.
Romans Immigrants in Italy and the Social Costs (English version)

The present research intends to approach in an explicative manner the migration phenomenon, mainly to test which are the social costs of external migration in Romania. We have tried to find some answers by relating to this specific type of migration, especially to external or international circulatory migration, of to-and-fro type which registered a constant increase in Romania in the last years. Travelling for work abroad is part of a life strategy with major effects on the person/household. In this sense, the social costs of the phenomenon become ample, with effects at the national level. The present study was based on the questions: which are the reasons that determine more and more Romanians to leave for work abroad, how do they leave legally or illegally, what is the Romanians’ perception about the situation of present Romania, their perception about the emigration area, which are the costs, which are the benefits and losses of external migration? The approaching manner is mainly a qualitative one but has in view a quantitative approach of the phenomenon at the level of a community of Romanians situated in the north of Italy, in Torino. In this paper, migration is studied from a broader perspective, tackling both the persons in the hypostasis of immigration (entrance) and emigration (exit); both forms of migration are considered since any migratory act is at the same time a migration and an emigration.
A Simple Design of Multi Band Microstrip Patch Antennas Robust to Fabrication Tolerances for GSM, UMTS, LTE, and Bluetooth Applications by Using Genetic Algorithm Optimization

Design of multiband antennas with low volume is of practical interest for the ever growing wireless communication industry. In this regard, the design of a small multi band microstrip patch antenna (MPA) for GSM900 (880{960MHz), GSM1800 (1710{1880MHz), GSM1900 (1850{1990MHz), UMTS (1920{2170MHz), LTE2300 (2305{2400MHz), and Bluetooth (2400{ 2483.5MHz) applications by using a genetic algorithm (GA) is proposed. The proposed GA method divides the overall patch area into difierent cells taking into account that cells have a small overlap area between them. This avoids optimized geometries with certain cells having only an inflnitesimal connection to the rest of the patch. Therefore, the proposed method is robust for manufacturing. A shorting pin is also included for impedance matching. GA optimization combined with flnite element method (FEM) is used to optimize the patch geometry, the feeding position and the shorting position. A prototype has been built showing good agreement with the simulated results. The optimized MPA has a footprint of 46mm £ 57mm
Proximity to coke works and hospital admissions for respiratory and cardiovascular disease in England and Wales

BACKGROUND The incidence of hospital admissions for respiratory and cardiovascular diseases in areas close to operating coke works in England and Wales was investigated. METHODS A small area study using distance from source as a proxy for exposure was undertaken in subjects aged 65 or over and children under 5 years within 7.5 km of four coke works (1991 estimated populations 87 760 and 43 932, respectively). The main outcome measures were emergency hospital admissions in 1992/3–1994/5 with a primary diagnosis of coronary heart disease (ICD 410–414), stroke (ICD 431–438), all respiratory diseases (ICD 460–519), chronic obstructive pulmonary disease (ICD 491–492), and asthma (ICD 493) in those aged 65 or over, and all respiratory and asthma admissions in children under 5 years of age. RESULTS At age 65 or over the combined estimate of relative risk with proximity to coke works (per km) ranged from 0.99 (95% CI 0.90 to 1.09) for chronic obstructive pulmonary disease to 1.03 (95% CI 0.94 to 1.13) for asthma. For children under 5 years the combined estimate of risk was 1.08 (95% CI 0.98 to 1.20) for all respiratory disease and 1.07 (95% CI 0.98 to 1.18) for asthma. There was evidence of significant heterogeneity in risk estimates between coke work groups, especially in children under 5 years (p<0.001 and p=0.004 for respiratory disease and asthma, respectively). For the Teesside coke works in North East England the relative risk with proximity (per km) was 1.09 (95% CI 1.06 to 1.12) for respiratory disease and 1.09 (95% CI 1.04 to 1.15) for asthma. CONCLUSIONS No evidence overall was found for an association between hospital admissions and living near operational coke works in England and Wales. Trends of a higher risk of hospital admission for respiratory disease and asthma among children with proximity to the Teesside plant require further investigation.
Does the Gender Composition of Scientific Committees Matter?

An increasing number of countries are introducing gender quotas in scientific committees. We analyze how a larger presence of female evaluators affects committee decision-making using information on 100,000 applications to associate and full professorships in all academic disciplines in two countries, Italy and Spain. These applications were assessed by 8,000 evaluators who were selected through a random draw. A larger number of women in evaluation committees does not increase either the quantity or the quality of female candidates who qualify. If anything, when evaluators' are not familiar with candidates' research area, gender-mixed committees tend to be less favorable towards female candidates than all-male committees, with the exception of evaluations to full professorships in Spain. Data from 300,000 individual voting reports suggests that men become less favorable towards female candidates as soon as a woman joins the committee.
Taking Health Care Back: The Physician's Role in Quality Improvement

Physicians now enjoy a moment of tactical advantage in the evolution of the struggle for control over health care in the United States. The most effective way to capitalize on this—perhaps fleeting—position and to more permanently alter the balance of power in their favor is for physicians to establish strong and visionary leadership in health care quality improvement. Such an undertaking, if successful, could place the very essence of health care—defining, measuring, and improving its quality—in the hands of physicians. To succeed requires understanding the relationships between the different kinds of quality problems that plague our health care system, the various kinds of errors that lead to them, and how amenable these different kinds of errors may be to different interventions. The authors delineate a conceptual framework that describes these relationships, as well as their implications for conducting effective and durable quality improvement. The authors then illustrate how physicians could engage in this activity in three different settings: a four-or-five-physician primary care practice, a 50-physician multispecialty group, and a 450-bed community hospital. Finally, the authors submit that now is an opportune time for physicians and the organizations they direct or guide to take the leadership role in conducting health care quality improvement. Realizing the opportunity will require dedicating significant resources and changing traditional approaches to quality, but in so doing, physicians can regain much of the autonomy over the practice of medicine previously lost to government and managed care.
TileTrack: Capacitive human tracking using floor tiles

Accurate, simple and affordable methods for passive indoor tracking of human beings are still missing. In this article, we describe the development of an unobtrusive two-dimensional human positioning system based on low-frequency electric fields. The system's operation is based on measuring the capacitance between multiple floor tiles and a receiving electrode. The presented system is invisible to the user and uses a single-chip solution to measure the capacitances. The implemented system is evaluated with two different types of receiving electrodes and the results are presented. With the used tiles, the system can locate a standing human with at least 15 cm accuracy and track a walking person with at least 41 cm accuracy. The update rate of the system is 10 Hz.
Studies of inhibitor binding to the [4Fe-4S] cluster of quinolinate synthase.

Stop for NadA! A [4Fe-4S] enzyme, NadA, catalyzes the formation of quinolinic acid in de novo nicotinamide adenine dinucleotide (NAD) biosynthesis. A structural analogue of an intermediate, 4,5-dithiohydroxyphthalic acid (DTHPA), has an in vivo NAD biosynthesis inhibiting activity in E. coli. The inhibitory effect can be explained by the coordination of DTHPA thiolate groups to a unique Fe site of the NadA [4Fe-4S] cluster.
A Two-Stage Rate Control Mechanism for RDO-Based H.264/AVC Encoders

This paper jointly considers the mechanisms of rate control and the rate-distortion optimization (RDO) for the H.264/AVC hardware encoder. The proposed architecture performs intra prediction and inter prediction with our rate control mechanism in the first two stages. In addition, a low complexity macroblock (MB)-level mean absolute difference (MAD) prediction algorithm which considers both the motion information and the MAD value in the neighboring and current MBs is proposed. The proposed rate control algorithm can reduce the computational complexity and does not suffer from data dependency problems which may decrease the rate-distortion performance, thus it is suitable for H.264/AVC hardware encoders. Furthermore, the RDO-based architecture for the H.264/AVC encoder reduces the number of accurate rate-distortion cost calculators while maintaining the high rate-distortion performance. Experimental results show that the proposed rate control algorithm with the RDO-based architecture can improve the rate-distortion performance of H.264/AVC.
Constructing optimal fuzzy models using statistical information criteria

In this paper we describe a principled approach to explore the fitness-complexity trade-off using several optiniality criteria together with a fuzzy model reduction technique based on the singular value decomposition (SVD). The role of these optimality criteria in fuzzy modeling is discussed and their practical applicability is illustrated using a nonlinear system modeling example.
A metric to predict software scalability

Software system scalability is an important issue for most businesses. It is essential that as the customer base increases, and therefore the system has to deal with significantly increased loads, the system is prepared to handle the increased traffic so that the users do not encounter unacceptable system performance. For this reason we introduce a new metric, the PNL metric, that can be used to predict the likely loads at which the probability of performance problems will exceed acceptable levels. A case study is described that demonstrates the application of the PNL metric to a large industrial software system. A description of the steps taken to model the software and collect data is provided, as well as the computation of the PNL metric and implications derived from the computation for this system. This information was used by the project to help plan for additional capacity so that the performance experienced by customers was likely to remain acceptable.
RingLearn: Long-term mitigation of disruptive smartphone interruptions

Mitigating the consequences of disruptive smartphone interruptions remains a challenging problem for smartphone designers. Proposed solutions often incorporate machine-learning techniques with remedies that include delaying user notifications until an opportune moment or changing the intensity and/or mode of the notification (fewer rings, vibration mode). This paper describes a new machine-learning approach that aims to maintain the quality of mitigation under concept drift - unforeseen changes in context or the user's behaviour over time. We demonstrate our approach by developing an application for Android phones to mitigate disruptive phone calls (RingLearn). We report on a field trial of the application conducted over 2 months with 10 users and suggest that long-term mitigation can be practical with careful design that addresses concept drift.
paraBLAST : A Highly Scalable Parallelized BLAST Solution

Programs of the NCBI BLAST family have been widely used for retrieving homologous sequences from existing databases. This article briefly introduces and evaluates a parallelized version of the BLAST algorithm, paraBLAST, using Message Passing Interface (MPI) on a multi-node compute cluster. A dynamical database fragmentation scheme based on the availability of a compute cluster is proposed. Its application in querying nucleotide sequences against large-scale sequence databases is evaluated with different numbers of database fragments. As the tasks are made independent of each other, a highly scalable solution is achieved. Key-Words: Computational biology, BLAST, Sequence searching, Parallel computing, High performance computing, MPI
Recommending Clones for Refactoring Using Design, Context, and History

Developers know that copy-pasting code (aka code cloning) is often a convenient shortcut to achieving a design goal, albeit one that carries risks to the code quality over time. However, deciding which, if any, clones should be eliminated within an existing system is a daunting task. Fixing a clone usually means performing an invasive refactoring, and not all clones may be worth the effort, cost, and risk that such a change entails. Furthermore, sometimes cloning fulfils a useful design role, and should not be refactored at al. And clone detection tools often return very large result sets, making it hard to choose which clones should be investigated and possibly removed. In this paper, we propose an automated approach to recommend clones for refactoring by training a decision tree-based classifier. We analyze more than 600 clone instances in three medium-to large-sized open source projects, and we collect features that are associated with the source code, the context, and the history of clone instances. Our approach achieves a precision of around 80% in recommending clone refactoring instances for each target system, and similarly good precision is achieved in cross-project evaluation. By recommending which clones are appropriate for refactoring, our approach allows for better resource allocation for refactoring itself after obtaining clone detection results, and can thus lead to improved clone management in practice.
Meeting EHR Security Requirements: Authentication as a Security Service

Electronic Health Record (EHR) is a promising concept to collect and manage electronic health information of all citizens. Integration the Heathcare Enterprise (IHE) was one of the first initiatives that aims at standardizing the way healthcare systems exchanging information in a distributed environment. Based on EHR concepts and IHE profiles different approaches have been introduced in the industry and the literature to implement and apply solutions for different stakeholders in the healthcare domain (see e.g., http://www.ith-icoserve.com/). Due to the sensitivity of the data dealt with in these systems, security is a major concern that must be considered. In previous work we have presented a general architectural solution to apply the evolving Security as a Service (SeAAS) paradigm in distributed architectures for EHR in conformance to IHE–proposed profiles. While our architecture proposed is generic and covers all security requirements, we focus in this work on one security requirement, namely, authentication and show how it can be offered as a service while adhering to IHE profiles. 1