Miracle-dz/UniFAR-FTUs huggingface dataset:
Sample size and subject to item ratio in principal components analysis. - Practical Assessment, Research & Evaluation

Statisticians have wrestled with the question of sample size in exploratory factor analysis and principal component analysis for decades, some looking at total N, some at the ratio of subjects to items. Although many articles attempt to examine this issue, few examine both possibilities comprehensively enough to be definitive. This study examines a previously published data set to examine whether N or subject to item ratio is more important in predicting important outcomes in PCA. The results indicate an interaction between the two, where the best outcomes occur in analyses where large Ns and high ratios are present.
Role of abciximab in the treatment of coronary artery disease

Glycoprotein IIb/IIIa complex is a crucial membrane receptor for platelet aggregation, binding platelets to fibrinogen and establishing interplatelet bridges. This receptor is the common end point of the multiple activation pathways of a platelet. Antiplatelet agents, such as aspirin or thienopyridines, including ticlopidine and clopidogrel, inhibit one or more but not all, of these pathways. Inhibitors of the receptor are powerful platelet antiaggregants and include two groups of agents: non-competitive receptor blockers, such as abciximab, and competitive antagonists, such as tirofiban and eptifibatide. Abciximab is a monoclonal antibody that binds to the glycoprotein IIb/IIIa complex, thus blocking the interaction with fibrinogen. It is used for treatment of coronary artery disease, being well-studied in the setting of acute coronary syndromes and percutaneous coronary intervention, in which a rapid and effective antiaggregation is clinically important.
Comparing code coverage metrics for analog behavioral models

In current applications Analog/Mixed-Signal (AMS) circuits gets increasingly demanding. To speed up the design process parts of the design were implemented in hardware description languages. Besides positive aspects like simulation processing times these models need to be checked in terms of verification run set completeness, i.e. input stimuli, parameter setting, and test bench circuitry. For this purposes we present a methodology to adopt code coverage metrics on Verilog-A models. A public domain analog circuit simulator automatically instruments and executes the behavioral description. The coverage results are automatically annotated and compared to a coverage metric based on the reachable analog state-space of the circuit. We discuss the methodology on several examples and sketch a path to improve the completeness of a verification run set.
Spectral analysis of a scalar modulated matrix converter based on 3-D fourier integral

This paper proposes an analytical spectral calculation method based on 3-D Fourier integral to obtain accurate spectra of both output voltage and input current of a scalar modulated matrix converter. The matrix converter (MC) is a direct AC-AC power converter without an intermediate DC link; three-phase output is synthesized by three-phase input through nine bidirectional switches. At present, there is little research on spectral analysis for scalar modulated matrix converter. This paper focus on spectral calculation, by the adoption of 3-D Fourier integral, spectral of bidirectional switch duty cycle function, output voltage and input current can be achieved. When analytic spectral solution is obtained, the correspondence between modulation strategy and harmonic components is established. Simulation and experimental results are given to demonstrate the theoretical work.
IP3‐dependent nuclear Ca2+ signalling in the mammalian heart

In cardiac myocytes the type‐2 inositol 1,4,5‐trisphosphate receptor (IP3R2) is the predominant isoform expressed. The IP3R2 channel is localized to the SR and to the nuclear envelope. We studied IP3‐dependent nuclear Ca2+ signals ([Ca2+]Nuc) in permeabilized atrial myocytes and in isolated cardiac nuclei. In permeabilized myocytes IP3 (20 μm) and the more potent IP3R agonist adenophostin (5 μm) caused an elevation of [Ca2+]Nuc. An IP3‐dependent increase of [Ca2+]Nuc was still observed after pretreatment with tetracaine to block Ca2+ release from ryanodine receptors (RyRs), and the effect of IP3 was partially reversed or prevented by the IP3R blockers heparin and 2‐APB. Isolated nuclei were superfused with an internal solution containing the Ca2+ indicator fluo‐4 dextran. Exposure to IP3 (10 μm) and adenophostin (0.5 μm) increased [Ca2+]Nuc by 25 and 27%, respectively. [Ca2+]Nuc increased to higher levels than [Ca2+]Cyt immediately adjacent to the outer membrane of the nuclear envelope, suggesting that a significant portion of nuclear IP3 receptors are facing the nucleoplasm. When nuclei were pretreated with heparin or 2‐APB, IP3 failed to increase [Ca2+]Nuc. Isolated nuclei were also loaded with the membrane‐permeant low‐affinity Ca2+ probe fluo‐5N AM which compartmentalized into the nuclear envelope. Exposure to IP3 and adenophostin resulted in a decrease of the fluo‐5N signal that could be prevented by heparin. Stimulation of IP3R caused depletion of the nuclear Ca2+ stores by approximately 60% relative to the maximum depletion produced by the ionophores ionomycin and A23187. The fluo‐5N fluorescence decrease was particularly pronounced in the nuclear periphery, suggesting that the nuclear envelope may represent the predominant nuclear Ca2+ store. The data indicate that IP3 can elicit Ca2+ release from cardiac nuclei resulting in localized nuclear Ca2+ signals.
MultiWaveMed: a system for medical image retrieval through wavelets transformations

This paper presents the MultiWaveMed system, which is a new software allowing to index and retrieve medical images through the comparison of their texture features. The features are extracted by wavelet transforms, and are organized in feature vectors. The system extracts the image texture features, computes the distance between the query image to all images in the database, through the comparison of their features, and retrieve de n most similar images regarding this kind of feature. The proposed system has implemented both Daubechies and Gabor wavelets. The feature vectors extracted from the images are used to organize the images through access methods, which are the basis to perform the query-by-content operations over the images. The focus of this paper is to show the utility of the wavelet transforms on medical image characterization and their suitability for image indexing and retrieval.
18F-FDG PET in Non-Hodgkin's Lymphoma: Qualitative or Quantitative?

Several studies have documented that 18F-FDG PET is more accurate than CT for assessment of tumor response to chemotherapy in patients with Hodgkin’s lymphoma (HL) and high-grade (aggressive) non-Hodgkin’s lymphoma (NHL) (1,2). On the basis of these data, the International Workshop Criteria for assessment of tumor response in NHL have recently been revised to include 18F-FDG PET (3). A complete response (CR) is now based primarily on the findings on 18F-FDG PET. Patients with a residual mass of any size on CT are considered to be in CR as long as the mass is negative on 18F-FDG PET. Visual assessment has been found to be sufficient to assess tumor response on
Store layout effects on consumer behavior in 3D online stores

Positioned in the e-retailing field, this study aims to investigate the effect of the retail store’s atmosphere on consumer behavior in 3D online shopping environments, focusing on store layout as a critical influential factor. ,The research uses a mixed research method approach that includes two complementary studies. First, a three-round Delphi study with domain experts is used to develop a store layout classification scheme (Study 1), resulting in five distinct types of store layout. Subsequently, 3D online retail stores that use the five layouts are designed and developed. These serve as treatments of a laboratory experimental design, which is used to assess layout impact on a number of attitudinal and behavioral variables (Study 2). ,Five distinct types of store layout have been identified in Study 1, and their distinctive features are presented. The findings of Study 2 indicate that online shopping enjoyment, entertainment and ease of navigation are influenced by the store layout types of 3D online environments. Specifically, the “avant-garde” layout type facilitates the ease of navigation of customers in the store and provides a superior online customer experience. The “warehouse”’ adopts long aisles for the display of products, which simplifies the comparison of products, whereas the “boutique” layout was found to be the best in terms of shopping enjoyment and entertainment. The “department” layout shares many common characteristics with traditional department stores, providing an entertaining and enjoyable store, whereas the “pragmatic” layout emphasizes low system requirements. ,The paper presents characteristics that make store layouts effective for different aspects of online customers’ experience and identifies opportunities that 3D online store designers and retailers can explore for the provision of enhanced, customized services to online customers. ,This paper examines recent technological developments in store design and visual merchandising. It identifies five layout types of 3D online stores, which are different from those of brick–and–mortar and 2D online stores, and investigates their impact on consumer behavior. Further, the paper examines how each layout type influences online shopping enjoyment, entertainment, ease of navigation, online customer experience and, in turn, purchase and word-of-mouth intentions. Finally, the paper examines the moderating role of telepresence. Individuals with high sense of telepresence conceive 3D environments as “real” and are more concerned about the attributes that trigger the sense of enjoyment they experience while browsing.
The impact of acute illness on HbA1c determination of undiagnosed diabetes

To improve diabetes screening efforts, the American Diabetes Association now recommends haemoglobin A1c (HbA1c) as a diagnostic test, increasing access to patients found in acute care environments. However, the influence of acute illness and care on HbA1c levels has not been well studied. To address this, we evaluated for intra‐patient differences in HbA1c assessed in the emergency department (ED) and after recovery from the acute illness.
The development and prospect of personalized TV program recommendation systems

Aspects of personalized TV program recommendation systems are reviewed. An introduction and relevant work are presented, and philosophies of program description, user profiling and the matching mechanism are illustrated, especially for strategies such as implicit and explicit feedback, and content-based and collaborative filtering techniques. A new system quality evaluation method is then presented. In addition, we propose a next generation conceptual architecture for integrating a real-time program rating mechanism with a personalization system using Web services.
MIKE: The Menu Interaction Kontrol Environment

A User Interface Management System (UIMS) called MIKE that does not use the syntactic specifications found in most UIMSs is described. Instead, MIKE provides a default syntax that is automatically generated from the definition of the semantic commands that the interaction is to support. The default syntax is refined using an interface editor that allows modification of the presentation of the interface. It is shown how active pictures can be created by adding action expressions to the viewports of MIKE's windowing system. The implications of MIKE's command-based dialogue description are discussed in terms of extensible interfaces, device and dialogue-style independence, and system support functions.
Optimal maintenance policies for multi-level preventive maintenance with complex effects

Abstract We consider the problem of optimally maintaining a periodically inspected system with multi-level preventive maintenance whose effects are complex. At each inspection, the maintenance decision concerns whether a preventive maintenance action is needed and which level should be selected if preventive maintenance is desired. The objective is to minimize the total expected discounted cost including inspection and maintenance costs. We formulate an infinite-horizon Markov decision process model and establish sufficient conditions to ensure the existence of an optimal monotone control-limit type policy with respect to the system’s deterioration level and age. We also numerically explore the structure of the optimal policy with respect to two additional system states, the level of the last maintenance action and the time since the last maintenance action. Real-world pavement deterioration data is used in our computational experiments, and the results show that the optimal policy is typically of monotone control-limit type.
Epidemiology and Clinical Characteristics of Congenital Hypothyroidism in an Asian Population: A Nationwide Population-Based Study

Background The incidence of congenital hypothyroidism (CH) has been increasing in Western countries, and some populations, including Asians, have a higher incidence. Delayed diagnosis and early treatment influence the outcome of CH. We investigated the incidence and clinical characteristics of CH in Taiwan. Methods In this retrospective database study we identified cases of CH diagnosed during 1997–2008 in the Taiwan National Health Insurance Research Database (NHIRD). Patients who had a Serious Accidents and Diseases certificate were included in the incidence calculation. We focused on CH patients who were born during 1997–2003 and determined their age at diagnosis and CH-related clinical features. Mental retardation and physiological delays were evaluated with respect to age at diagnosis. Results A total of 1482 cases were identified. Incidence during the 12-year period was 5.02 per 10 000 births. Among 1115 patients, the most common clinical features of CH were developmental delay (9.6%), constipation (11.6%), and delayed physiological development (9.1%). Congenital anomalies of the heart (7.7%), epilepsy (2.7%), and infantile cerebral palsy (3.2%) were also noted. Survival analysis showed that the risks of mental retardation (hazard ratio [HR], 3.180) and delayed physiological development (HR, 1.908) were greater when age at diagnosis was greater than 1 year. Conclusions CH incidence was higher in Taiwan than in Western countries. Early diagnosis may decrease the risk of mental and physiological delay.
Frege proof system and TNC°

A Frege proof system F is any standard system of prepositional calculus, e.g., a Hilbert style system based on finitely many axiom schemes and inference rules. An Extended Frege system EF is obtained from F as follows. An EF-sequence is a sequence of formulas ψ1, …, ψκ such that eachψ i is either an axiom of F, inferred from previous ψ u and ψ v (= ψ u → ψ i ) by modus ponens or of the form q ↔ φ, where q is an atom occurring neither in φ nor in any of ψ1,…,ψ i−1. Such q ↔ φ, is called an extension axiom and q a new extension atom. An EF-proof is any EF-sequence whose last formula does not contain any extension atom. In [12], S. A. Cook and R. Reckhow proved that the pigeonhole principle PHP has a simple polynomial size EF-proof and conjectured that PHP does not admit polynomial size F-proof. In [5], S. R. Buss refuted this conjecture by furnishing polynomial size F-proof for PHP. Since then the important separation problem of polynomial size F and polynomial size EF has not shown any progress. In [11], S. A. Cook introduced the system PV, a free variable equational logic whose provable functional equalities are ‘polynomial time verifiable’ and showed that the metamathematics of F and EF can be developed in PV and the soundness of EF proved in PV. In [3], S. R. Buss introduced the first order system and showed that is essentially a conservative extension of PV. There he also introduced a second order system (BD).
A computational model that explores the effect of environmental geometries on grid cell representations

Grid cells are a special class of spatial cells found in the medial entorhinal cortex (MEC) characterized by their strikingly regular hexagonal firing fields. This spatially periodic firing pattern was originally considered to be invariant to the geometric properties of the environment. However, this notion was contested by examining the grid cell periodicity in environments with different polarity (Krupic et al 2015) and in connected environments (Carpenter et al 2015). Aforementioned experimental results demonstrated the dependence of grid cell activity on environmental geometry. Analysis of grid cell periodicity on practically infinite variations of environmental geometry imposes a limitation on the experimental study. Hence we analyze the grid cell periodicity from a computational point of view using a model that was successful in generating a wide range of spatial cells, including grid cells, place cells, head direction cells and border cells. We simulated the model in four types of environmental geometries such as: 1) connected environments, 2) convex shapes, 3) concave shapes and 4) regular polygons with varying number of sides. Simulation results point to a greater function for grid cells than what was believed hitherto. Grid cells in the model code not just for local position but also for more global information like the shape of the environment. The proposed model is interesting not only because it was able to capture the aforementioned experimental results but, more importantly, it was able to make many important predictions on the effect of the environmental geometry on the grid cell periodicity.
Cloud computing technology: improving small business performance using the Internet

Cloud computing technology (CCT) is a revolutionary new way of leveraging the power of the Internet to provide software and infrastructure solutions to businesses around the world. 2017 is predicted to be a major breakout year for this technology, with many organizations small and large making a shift to this platform. Employing this technology empowers communication between companies and has the potential to generate significant financial and operational benefits for small businesses. The key objective of this article is to propose a conceptual model for successful implementation of CCT in small businesses. This article also examines some of the potential benefits of CCT as applied to small businesses and explores implementation challenges that can be expected. Furthermore, this study reviews key attributes of successful CCT and illustrates some of the routes that might be taken to implement this technology in small businesses. Finally, this article examines the specific application of CCT to small businesses, highlights developing technologies and trends, investigates the deployment of CCT in different types of small businesses, and provides a case example of success.
IMPACT OF KNOWLEDGE SHARING AND ORGANIZATION INNOVATIVE CAPABILITIES ON FIRM PERFORMANCE - MEDIATING IMPACT OF CORPORATE ENTREPRENEURSHIP

The main purpose of this study is to investigate the mediating impact of corporate entrepreneurship on the relationship between knowledge sharing, organizational innovational capabilities and firm performance. Rapid change in technology and the world being a global village has forced organizations to change their way of doing business. Organizations require developing new products, improving production process and capturing new markets to survive against local and international competition. Pakistani organizations are losing their market share in local and internationals markets due to their inability to meet continuously increasing customer demands. This study will helps these organizations to understand the importance of knowledge sharing, innovation and corporate entrepreneurship in their performance. The data were collected from service sector industries by using a close ended questionnaire. Results show that knowledge sharing and organizational innovative capabilities have a positive impact on firm performance while corporate entrepreneurship more strengthens this impact. It is recommended for organizations to create the knowledge sharing environment in the organization through awareness sessions and to teach employees how knowledge sharing can collectively benefit them and the organization. Organizational culture should welcome new ideas and opportunities and strive to achieve continuous excellence. Keywords: Knowledge Sharing, Organizational Innovation Capabilities, Corporate Entrepreneurship, Firm Performance and Structure Equation Modeling
A Novel Approach for Discrimination Prevention and Privacy Preservation in Data Mining

Recently increasing importance of Data Mining technology as it will help for extract important knowledge data from large amount of data. Hence there negative sociality able to see about data mining. Peoples belonging some categories on that based peoples are treating unfairly. Data mining and data collection techniques classified the mining rules which is covered automated decisions, e.g. grant or denied loan request, insurance premium computation. Discriminatory attributes are gender, cast, region, race etc. if data set biased on above attributes decision may emanate. Discrimination having two types one is direct and indirect. When on the base of sensitive attributes made decision it’s called direct discrimination. When no any sensitive attribute include for made decision it’s called indirect discrimination and which are relate with biased sensitive one. In these studies we focus on discrimination prevention in data mining and our proposed system used for direct or indirect discrimination prevention individually or both at the same time. We focus on how to data discrimination decision convert in anti-discriminatory as cleaning training data set and outsourced dataset. Also we define the new metrics for evaluate with our approaches and we compare these approaches. This experiment explain that the proposed system how effectively removing direct or indirect discrimination while store data quality.
Organizational Legitimacy, Corporate Social Responsibility, and Bottom of the Pyramid Consumers

ABSTRACT In recent decades, multinational corporations (MNC) have increasingly penetrated bottom of the pyramid (BOP) markets due to globalization and market liberalization. To gain legitimacy within these markets, MNCs have employed corporate social responsibility (CSR) strategies. This paper focuses on how BOP consumers perceive the CSR strategies of advanced country MNCs (AMNCs). Specifically, this study examines how BOP consumers' admiration of economically developed countries (AEDC) influence CSR strategy success in BOP markets. In doing so, this paper contributes to the literature on BOP strategies and BOP consumer psychology. With a sample of consumers from Madagascar, the results provide evidence that AEDC is a relevant construct that firms from developed countries should consider when implementing consumer-oriented strategies in BOP markets.