Miracle-dz/UniFAR-FTUs huggingface dataset:
Share and succeed: the development of knowledge sharing and brokerage in data teams’ network structures

Abstract The data team intervention was designed to support Dutch secondary schools in using data while developing a solution to an educational problem. A data team can build school-wide capacity for data use through knowledge sharing among data team members, and knowledge brokerage between the team and other colleagues. The goal of this mixed-methods study is to understand how knowledge sharing and brokerage regarding data use and an educational problem changed over time. Social network data were collected twice at eight schools. These data were used to analyse (1) how well team members were connected with each other (density), (2) whether team members’ relationships were mutual (reciprocity) and (3) whether all team members were equally important for the data team network (centralisation). Moreover, different types of knowledge brokering (inward, outward and forward) were examined to further understand knowledge exchange between data team members and their colleagues. Qualitative data were analysed to triangulate these findings for four particular cases. Among other things, findings illustrated that while knowledge sharing and knowledge brokerage both changed over time, there were considerable differences between teams in the extent and direction of change. It appeared that the dissemination of knowledge within the organisation requires more explicit attention.
No-reference Image Quality Assessment With A Gradient-induced Dictionary

Image distortions are typically characterized by degradations of structures. Dictionaries learned from natural images can capture the underlying structures in images, which are important for image quality assessment (IQA). This paper presents a general-purpose no-reference image quality metric using a GRadient-Induced Dictionary (GRID). A dictionary is first constructed based on gradients of natural images using K-means clustering. Then image features are extracted using the dictionary based on Euclidean-norm coding and max-pooling. A distortion classification model and several distortion-specific quality regression models are trained using the support vector machine (SVM) by combining image features with distortion types and subjective scores, respectively. To evaluate the quality of a test image, the distortion classification model is used to determine the probabilities that the image belongs to different kinds of distortions, while the regression models are used to predict the corresponding distortion-specific quality scores. Finally, an overall quality score is computed as the probability-weighted distortion-specific quality scores. The proposed metric can evaluate image quality accurately and efficiently using a small dictionary. The performance of the proposed method is verified on public image quality databases. Experimental results demonstrate that the proposed metric can generate quality scores highly consistent with human perception, and it outperforms the state-of-the-arts.
Antagonistic Control of Disease Resistance Protein Stability in the Plant Immune System

Pathogen recognition by the plant immune system is governed by structurally related, polymorphic products of disease resistance (R) genes. RAR1 and/or SGT1b mediate the function of many R proteins. RAR1 controls preactivation R protein accumulation by an unknown mechanism. We demonstrate that Arabidopsis SGT1b has two distinct, genetically separable functions in the plant immune system: SGT1b antagonizes RAR1 to negatively regulate R protein accumulation before infection, and SGT1b has a RAR1-independent function that regulates programmed cell death during infection. The balanced activities of RAR1 and SGT1, in concert with cytosolic HSP90, modulate preactivation R protein accumulation and signaling competence.
Outdating of perishables at PLUS supermarkets; part of doing business?

Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration.
FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data

The number of markers measured in both flow and mass cytometry keeps increasing steadily. Although this provides a wealth of information, it becomes infeasible to analyze these datasets manually. When using 2D scatter plots, the number of possible plots increases exponentially with the number of markers and therefore, relevant information that is present in the data might be missed. In this article, we introduce a new visualization technique, called FlowSOM, which analyzes Flow or mass cytometry data using a Self‐Organizing Map. Using a two‐level clustering and star charts, our algorithm helps to obtain a clear overview of how all markers are behaving on all cells, and to detect subsets that might be missed otherwise. R code is available at https://github.com/SofieVG/FlowSOM and will be made available at Bioconductor. © 2015 International Society for Advancement of Cytometry
Relative Frequencies of Alzheimer Disease, Lewy Body, Vascular and Frontotemporal Dementia, and Hippocampal Sclerosis in the State of Florida Brain Bank

Alzheimer disease (AD) is the most common dementing illness in the elderly, but there is equivocal evidence regarding the frequency of other disorders such as Lewy body disease (LBD), vascular dementia (VaD), frontotemporal dementia (FTD), and hippocampal sclerosis (HS). This ambiguity may be related to factors such as the age and gender of subjects with dementia. Therefore, the objective of this study was to calculate the relative frequencies of AD, LBD, VaD, FTD, and HS among 382 subjects with dementia from the State of Florida Brain Bank and to study the effect of age and gender on these frequencies. AD was the most frequent pathologic finding (77%), followed by LBD (26%), VaD (18%), HS (13%), and FTD (5%). Mixed pathology was common: Concomitant AD was present in 66% of LBD patients, 77% of VaD patients, and 66% of HS patients. The relative frequency of VaD increased with age, whereas the relative frequencies of FTD and LBD declined with age. Males were overrepresented among those with LBD, whereas females were overrepresented among AD subjects with onset age over 70 years. These estimates of the a priori probabilities of dementing disorders have implications for clinicians and researchers.
Validating Cross-Perspective Topic Modeling for Extracting Political Parties' Positions from Parliamentary Proceedings

In the literature, different topic models have been introduced that target the task of viewpoint extraction. Because, generally, these studies do not present thorough validations of the models they introduce, it is not clear in advance which topic modeling technique will work best for our use case of extracting viewpoints of political parties from parliamentary proceedings. We argue that the usefulness of methods like topic modeling depend on whether they yield valid and reliable results on real world data. This means that there is a need for validation studies. In this paper, we present such a study for an existing topic model for viewpoint extraction called cross-perspective topic modeling [11]. The model is applied to Dutch parliamentary proceedings, and the resulting topics and opinions are validated using external data. The results of our validation show that the model yields valid topics (content and criterion validity), and opinions with content validity. We conclude that cross-perspective topic modeling is a promising technique for extracting political parties' positions from parliamentary proceedings. Second, by exploring a number of validation methods, we demonstrate that validating topic models is feasible, even without extensive domain knowledge.
Comparative clinical evaluation of estrogenic preparations by the menopausal and amenorrheal indices.

ESTROGENS for clinical use are usually standardized either by animal assay or by unit weight of crystalline material. Although such methods yield some information as to the expected comparative efficacy of these preparations in man they are inadequate for exact dosage relationships in clinical medicine. Hence, it is desirable that the relative activity of estrogens be based upon human ‘assay’ rather than biologic or chemical standardization procedures. The investigation of the clinical efficacy of different hormonal preparations, however, presents many difficulties and must, of necessity, entail large series of subjects to offset the inroads of biologic variation. Unfortunately, in the clinical evaluation of the effectiveness of steroid estrogens or their stilbene confreres, greater variability of response and less predictability of results occur than in animal assay procedures. In the latter assay methods one can adhere to a rigid selection of an adequate number of properly standardized subjects. The hor.
Commenting on Interorganizational Relationship in Franchising Systems: Governance for Learning and Collaborative Research

Abstract. Inter-organizational relationship is increasingly important for modern business world because of its benefits for efficient integration for resources from various parties, facilitation for new knowledge creation, and synergetic use of the collective decision, action and idiosyncratic capabilities. I tend to offer a conceptual discussion for the connections among inter-organizational relationship, governance for organizational learning, and collaborative research in a franchising system context. Important research imperatives were proposed finally. Keywords. Interorganizational relationship, Franchising system, Governance for learning, Collaborative research. JEL. M10, M11, M14.
Electrical safety for industrial and commercial power systems

There are many Occupational Safety and Health Administration (OSHA) regulations, along with industry consensus standards, such as the National Fire Protection Association (NFPA) NFPA 70E Standard for Electrical Safety in the Workplace, that address the issues of electrical hazards, risk assessments, safety programs, safe work procedures, training programs, energy control programs and procedures, and personal protective equipment (PPE) that are applicable to work on industrial and commercial power systems. The electrical hazards of shock, electrocution, arc flash, and arc blast are universal to these systems, therefore employers, along with their employees who operate and maintain or otherwise interact with, electrical power systems and equipment, must have a clear understanding of the hazards and what they need to do for their safety. Electricity is no respecter of persons; it will injure or kill a custodian, laborer, supervisor, or office worker just as fast as it will injure or kill an electrician. All electrical power systems and equipment must be assessed to determine which of the electrical hazards exist or may exist, in order to develop an effective electrical safety program, safe work procedures, training for qualified and unqualified personnel, and PPE requirements. This paper addresses the specific safety issues associated with working on or near, interacting with, or performing maintenance, inspections, or operations of electrical equipment associated with industrial and commercial power systems.
Detection of Malware Propagation in Sensor Node and Botnet Group Clustering Based on E-mail Spam Analysis

Cyber incidents are increasing continuously. More than 200,000 new malicious codes appear, with more than 30,000 malicious codes distributed each day on average. These cyber attacks are expanding gradually to the social infrastructure (nuclear energy, power, water, etc.) and smart sensor networks. This paper proposes a method of detecting malware propagation in sensor Node and botnet clustering automatically by analyzing e-mails. More than 80% of spam e-mails are generated by the Node infected with malicious code, using various methods to avoid filtering such as direct-to-MX, fake Received header, and open relay vulnerability. This paper proposes a scheme that detects those types accurately, including a clustering method that targets the URL included in the e-mail body, e-mail subject, attached file, and hosting server, to detect the botnet group infected with the same malicious code. The proposed method recorded about 85% zombie IP detection rate when spam e-mails distributed in a commercial environment were analyzed. When applied to the portal site that delivers 10 million e-mails, the proposed technology is expected to detect at least 150,000 zombie Nodes each day. If advanced measures are taken against the detected zombie Nodes, the spread of cyber attack damages can apparently be reduced.
Isolation and differentiation of porcine progenitor cells into endothelial-like cells for vascular tissue engineering

Tissue engineered vascular grafts may one day provide a solution to many of the limitations associated with the use of synthetic vascular grafts and vein autografts. In order for vascular tissue engineering to become a clinical reality, scaffolds and cell sources that meet rigorous scientific as well as social criteria will be required. Several laboratories have been investigating various scaffold materials and cell sources in an attempt to meet the requirements of an ideal vascular graft [1-5]. Approaches involve the use of either primary endothelial cells from biopsies or the differentiation of adult stem cells into endothelial-like cells to cover the scaffold [6]. One potential source of mature endothelial cells is adult stem cells found in circulating peripheral blood. Endothelial progenitor cells (EPC) are released into circulating peripheral blood where they contribute to the process of adult vasculogenesis and vascular homeostasis [7]. EPCs have been found in canine [8], ovine [5], and human [9] peripheral blood and mostly studied in the context of cardiac tissue repair. However, there are few studies on the interactions of these cells with biomaterials for potential application in vascular tissue engineering. Our laboratory has been developing elastomeric and biodegradable scaffolds that are based on poly(diol citrates) and investigating their interaction with vascular cells [10, 11]. Herein, we describe the isolation and characterization of EPCs from porcine peripheral blood and their potential to create a functional endothelium on poly (diol citrates). The pig was chosen as the model system because it is commonly used for vascular research due to the size, physiological, and mechanical similarities to humans.
Boards, and the Directors Who Sit on Them

Boards of directors are intellectually interesting; the literature on boards has academic impact, and there is substantial scope for this literature to have policy impact. I illustrate these points by combining a select review of the literature with evidence from a variety of data sets. Boards are difficult to study—which makes them intellectually interesting. Papers on boards are cited 52.2% more per year since publication than other finance papers (controlling for year of publication and the number of papers published in the same year)—which makes them impactful. Boards are the focus of a substantial amount of policy-making—which means there is scope for the board literature to have policy impact. Although the literature on boards has grown substantially in recent years, I highlight that many topics for future research remain. Most importantly, I argue that to understand boards we need to understand the people who sit on them.
Time-delay cosmography: increased leverage with angular diameter distances

Strong lensing time-delay systems constrain cosmological parameters via the so-called time-delay distance and the angular diameter distance to the lens. In previous studies, only the former information was used in forecasting cosmographic constraints. In this paper, we show that the cosmological constraints improve significantly when the latter information is also included. Specifically, the angular diameter distance plays a crucial role in breaking the degeneracy between the curvature of the Universe and the time-varying equation of state of dark energy. Using a mock sample of 55 bright quadruple lens systems based on expectations for ongoing/future imaging surveys, we find that adding the angular diameter distance information to the time-delay distance information and the Planck's measurements of the cosmic microwave background anisotropies improves the constraint on the constant equation of state by 30%, on the time variation in the equation of state by a factor of two, and on the Hubble constant in the flat ΛCDM model by a factor of two. Therefore, previous forecasts for the statistical power of time-delay systems were overly pessimistic, i.e., time-delay systems are more powerful than previously appreciated.
Mechanism of action of salicylic acid during defense response of plant

Salicylic acid (SA) has been reported as an endogenous signal for the activation of certain plant defense responses, including pathogenesis related gene expression and enhanced resistance to pathogens. In our previous investigation we have observed that exogenous application of salicylic acid induced the expression of pathogenesis related -1 (PR-1) gene in okra and cowpea and enhanced resistance against Meloidogyne incognita. Here the interaction of SAand the rat livermicrosomal membrane was investigated in the presence and absence of catalase. Our result showed that though catalase and salicylic acid have no effect on lipid peroxidation but catalase significantly increased SA induced lipid peroxidation of rat liver microsomal membrane. The result suggests that salicylic acid may form SA free radicals upon interaction with catalase. Such free radicals induce lipid peroxidation, and the products of this reaction, may activate plant defense responses.
FUTURE CHALLENGES TO HUMAN RESOURCE DEVELOPMENT

Our country is facing various challenges. So we must keep special attention towards human resources and their energy be utilized for best economic, and technological management. The professionals in this area are yet in that impassion that how to look after economic growth, poverty issue and socialrevolution.Butsome limits are there to the socioeconomic role of themanagementsthat canact. Time issuitable that wemustunderstand the seriousness of the situation. The correlation between the world of thoughts and the world of action is not different. In the developing countries like India—having a outdatedagricultural background,the taskof managing business is more difficult. On the other hand the innovators ofManagement Economics did very muchto continuebelief in the possibilities of socioeconomicprogress. Mostlyinventive measures such as development in the outer economicconditions, effective policy programs, better mobilization and more effective utilizationof human resources are the current indicatorsto this direction.Organizations are facing many challenges while we are moving to this new century. The latest ASTD study mentioned following emerging trends that effecton HRD. These trends are shown in the following Figure1,1.
Photosynthetic and antioxidant responses of Mexican lime (Citrus aurantifolia) plants to Citrus tristeza virus infection

The effect of Citrus tristeza virus (CTV) infection on photosynthetic activity and antioxidant metabolism was analysed in plants of the highly susceptible citrus genotype Mexican lime (Citrus aurantifolia). Two virus isolates differing in their virulence (the severe T318 and the mild T385) were used in the experiments. CTV infection caused a reduction in photosynthetic capacity in infected plants. This limitation was mainly due to a reduction in the carboxylative efficiency whereas the limitation of CO2 diffusion through the stoma had lower impact. The virus did not damage the antennae and did not reduce the efficiency of light harvesting complexes. Oxidative damage occurred in infected plants, as evidenced by the increase in malondialdehyde levels. Indeed, CTV infection caused an increase in ascorbate peroxidase activity in new shoots developed in infected plants during the 2 years of the experiment. Data suggest that the H2O2 removal machinery was not damaged as a result of stress but the defence mechanism was overwhelmed with time due to the continuing pressure of biotic stress.
Identification of a Van der Woude syndrome mutation in the cleft palate 1 mutant mouse

Mutations in Interferon Regulatory Factor 6 (IRF6) have been identified in two human allelic syndromes with cleft lip and/or palate: Van der Woude (VWS) and Popliteal Pterygium syndromes (PPS). Furthermore, common IRF6 haplotypes and single nucleotide polymorphisms (SNP) alleles are strongly associated with nonsyndromic clefting defects in multiple ethnic populations. Mutations in the mouse often provide good models for the study of human diseases and developmental processes. We identified the cleft palate 1 (clft1) mouse mutant in a forward genetic screen for phenotypes modeling human congenital disease. In the clft1 mutant, we have identified a novel missense point mutation in the mouse Irf6 gene, which confers an amino acid alteration that has been found in a VWS family. Phenotypic comparison of clft1 mutants to previously reported Irf6 mutant alleles demonstrates the Irf6clft1 allele is a hypomorphic allele. The cleft palate seen in these mutants appears to be due to abnormal adhesion between the palate and tongue. The Irf6clft1 allele provides the first mouse model for the study of an etiologic IRF6 missense mutation observed in a human VWS family. genesis 48:303–308, 2010. © 2010 Wiley‐Liss, Inc.
A Comprehensive Investigation of a Common-Mode Filter for Gigahertz Differential Signals Using Quarter-Wavelength Resonators

This paper presents a comprehensive investigation on an inexpensive and wideband common-mode noise suppression filter that uses a quarter-wavelength resonator. An equivalent transmission line model is also used to evaluate the effectiveness of the proposed structure in a common-mode filter (CMF). Moreover, more important parameters, such as coupling coefficients are presented to investigate the characteristics of CMF unit. The performance of CMF is then characterized using two coupling coefficients between two differential traces and between differential traces and a quarter-wavelength resonator. A simple design approach is also presented for a wideband CMF. Numerical results demonstrate that CMF with three different lengths of quarter-wavelength resonators have rejection bands of 3.94-8.74 GHz and 3.53-10.1 GHz at cutoff frequencies of -20 dB and -10 dB, respectively Time-domain common-mode noise is decreased by approximately 60%. Moreover, analyses of differential insertion loss and group delay indicate that the differential signals maintain sufficient signal integrity when the wideband CMF is used in single- and two-pair differential interconnects. Finally, CMF is validated by an eye diagram and by measurements of time/frequency-domain common-mode noise and I/O cable common-mode current.