Miracle-dz/UniFAR-FTUs huggingface dataset:
Make Your Choice: Dimensionality of an Open Integrated Conceptual Model for Evaluating E-Service Quality, Usability and User Experience (e-SQUUX) of Web-Based Applications

Developments in internet technology and pervasive computing have resulted in a variety of web-based applications (WBAs), including business transactions, information-delivery and social networking, as well as e-government, e-health and e-learning. Different websites have varying requirements and users have differing backgrounds, experiences and cultures. Users require effective, easy and enjoyable interaction, which is key to successful use and acceptance of applications. This study generated a model that can give rise to customized frameworks to evaluate three related, yet distinct, constructs: e-service quality, usability and user experience (e-SQUUX) of WBAs in an integrated manner. Following a rigorous review of 264 credible literature sources, a set of unique dimensions was identified, each associated with one or more e-SQUUX constructs. Through an iterative reduction and evolution process, an integrated conceptual e-SQUUX model was derived, comprising 24 categories, 75 main dimensions and 163 associated dimensions. The model is 'open' in that practitioners and researchers can make their own personal 'choice' from the components of the model to synthesize an implementation of the model to be used as an evaluation framework.
Combining geometric morphometrics with pattern recognition for the investigation of species complexes

The parasitoid Hymenoptera contain a large number of species complexes that are as yet unresolved by traditional taxonomic studies. Evolutionary studies as well as biological control programmes often require further investigations which cannot rely on simple qualitative morphological characters; in many cases, particularly with dried specimens housed in museums, molecular approaches cannot be used. Recent developments in geometric morphometrics and statistical exploratory approaches open new perspectives for the objective evaluation of morphological characters in this taxonomic context. In this study, geometric morphometrics and pattern recognition approaches were applied to the wing shape and venation of two closely related braconid species considered to differ by subtle qualitative morphological head characters. Exploratory analyses such as kernel density estimates and Gaussian mixture analyses were used to explore the structure of the data in the multivariate morphometric space. Discrimination techniques (linear discriminant functions and neural networks combined with cross-validations) were used to estimate the taxonomic value of qualitative characters. Gaussian mixtures highlighted the existence of two non-overlapping groups. A good congruence was found between one of the two groups and the a priori defined Bassus tumidulus. The misclassification rate was higher for B. tegularis specimens, which also appeared morphometrically heterogeneous. Discrimination between the two a priori defined species was incomplete with misclassification rates higher than, or equal to, 6%. In most cases, the lack of congruence between species and morphometrically defined subgroups could be related to specimens that exhibited ambiguous qualitative character states. In summary, if two entities are present, they still need to be defined morphologically, while B. tegularis heterogeneity calls for further investigation of specimens of known origin and hosts. © 2003 The Linnean Society of London, Biological Journal of the Linnean Society , 2003, 80 , 89‐98. ADDITIONAL KEYWORDS: cross-validation ‐ Gaussian mixture analysis ‐ kernel density estimates ‐ linear discrimination ‐ neural networks ‐ Procrustes superimposition ‐ shape ‐ size ‐ wing venation.
Holographic normal ordering and multiparticle states in the AdS / CFT correspondence

The general correlator of composite operators of N=4 supersymmetric gauge field theory is divergent. We introduce a means for renormalizing these correlators by adding a boundary theory on the AdS space correcting for the divergences. Such renormalizations are not equivalent to the standard normal ordering of current algebras in two dimensions. The correlators contain contact terms that contribute to the OPE; we relate them diagrammatically to correlation functions of compound composite operators dual to multi-particle states. (c) 2000 The American Physical Society.
The relationship between hope, coping style and quality of ife among advanced cancer patients

Objective: To explore the relationship between hope, coping style and quality of life among advanced cancer patients. Methods: A total of 193 patients with advanced cancer were recruited and investigated by the Herth Hope Index(HHI), Medical Coping Modes Questionnaire(MCMQ), and Functional Assessment of Cancer Therapy-General module(FACT-G). Results: The mean score of HHI was 29.41±8.89, which was in a low-medium level. The score of HHI was positively correlated to the confrontation and resignation of coping style and the total score and each subscale(psychological, emotional and functional status) of quality of life; and was negatively correlated to avoidance of coping style. Conclusions: The level of hope among advanced cancer patients is low and this could affect their coping style and quality of life. Nurses should take the effective measures to improve the hope level of advanced cancer patients in order to improve their quality of life.
Iterative Reengineering of Legacy Systems

During its life, a legacy system is subjected to many maintenance activities, which cause degradation of the quality of the system: When this degradation exceeds a critical threshold, the legacy system needs to be reengineered. In order to preserve the asset represented by the legacy system, the familiarity with it gained by the system's maintainers and users, and the continuity of execution of current operations during the reengineering process, the system needs to be reengineered gradually. Moreover, each program needs to be reengineered within a short period of time. The paper proposes a reengineering process model, which is applied to an in-use legacy system to confirm that the process satisfies previous requirements and to measure its effectiveness. The reengineered system replaced the legacy one to the satisfaction of all the stakeholders; the reengineering process also had a satisfactory impact on the quality of the system. Finally, this paper contributes to validate the cause-effect relationship between the reengineering process and overcoming the aging symptoms of a software system.
EFFECT OF CYCLIC ADENOSINE MONOPHOSPHATE ON THE G PROTEIN-DEPENDENT INWARD RECTIFIER K+-LIKE CHANNEL CURRENT IN MEDIAL PREFRONTAL CORTEX PYRAMIDAL NEURONS

It has been demonstrated that cAMP levels in the pyramidal neurons of the medial prefrontal cortex (mPFC) are altered in animal models of various neuropsychiatric disorders (1-3). cAMP may modify neuronal activity due to its role as a component in many of the transduction pathways activated by metabotropic receptors (4). G-protein inward rectifier K+ (GIRK) channels are widely distributed in the cerebral cortex (5). They conduct K+ ions towards the interior of cells more easily than towards the exterior. Although GIRK channels have low open probability at rest, they play a role in tuning the resting membrane potential in mPFC pyramidal neurons (6-10). GIRK channels possess protein kinase C (PKC) and protein kinase A (PKA) phosphorylation sites (6, 11, 12) thus making them susceptible to transduction systems activated by metabotropic receptors. Two types of GIRK channels, cardiac and neuronal, have been identified (6, 13). PKC activation leads to the inhibition of both types of GIRK channel-mediated currents (10, 14-17). In contrast, activation of the cAMP/PKAdependent transduction system increases the activity of cardiactype GIRK channels (12, 18, 19). The effects of cAMP/PKA on neuronal GIRK channel currents have not been thoroughly tested. In this study, we investigated the effects of cAMP on neuronal-type GIRK channels in mPFC pyramidal neurons.
Cell-Based Models in Plant Developmental Biology: Insights into Hybrid Approaches

Computer models are nowadays part of the biologist's toolbox for studying biological dynamics and processes. Tissue development and functioning results from extremely complicated dynamics, that usual analysis does not come very far in terms of understanding the processes underlying those dynamics. In this context, mathematical and numerical models can help to disentangle complex interactions and to analyze non-intuitive dynamics that drives tissue development and functioning.Since these are multi-scale processes, both in time and space, there is the need to develop an appropriate modelling approach.The most promising one is hybrid modelling, that is a synthesis of the differential equation based reaction-diffusion approach at molecular and chemical continuous scales, and the Individual-Based modelling approach for simulating the mechanical and behavioural interactions of the cell ensemble constituting the tissue. Such an approach has been often used in developmental biology, both for plants and animals. In this paper, a brief history of hybrid modelling approaches and tools will be reviewed, and a simple example of its application to a current problem in plant developmental biology (the appearance of vascular patterning during plant growth) will be illustrated, showing the intuitiveness and the strength of such an approach.
A Practical Look at Micro-Kernels and Virtual Machine Monitors

In this paper, we look at two different approaches used to provide embedded system support for virtualization and virtual machine monitors for consumer electronics and mobile devices. We compare the micro-kernel approach, which has been a popular choice for building embedded operating systems with the Virtual Machine Monitor (VMM) or hypervisor approach widely deployed in general purpose computing environments such as desktops and data center servers. Comparison criteria are based on virtualization use cases that are typical of Consumer Electronics (CE) systems such as mobile devices and IPTV. These approaches are further evaluated based on performance and on their ability to allow re-use of existing (often real-time) software as well as modern open operating systems such as Linux while remaining as transparently as possible. Such transparency can come through different paths, including: leveraging of hardware virtualization support, minimal modifications to the original operating system internals (kernel, device drivers, etc.), and the ability to use existing operating system applications as-is and without the need to port them to a new environment. An analysis of the fundamental principles behind each approach is presented with a discussion of their impact on existing operating environments, together with practical performance results based on existing micro-kernels and real-time hypervisor benchmarks. We conclude that mapping the VMM (hypervisor) approach used in data centers to the needs of embedded systems is a better option for the support of complete operating systems (as guests) than extending micro-kernels for such functionality.
Carbon Nanotube (CNT) Enhancements for Aerosurface State Awareness

The goal of the present effort was to develop an integrated system capable of reliable ice-detection, de-icing and anti-icing in addition to structural diagnostics to enable aerosurface state awareness. The basis for the system is nanoengineered structured carbon nanotube (CNT) enhancements that can either be embedded within the composite laminates during manufacturing, or applied as a separate surface layer in a secondary process. The aligned CNTs are sufficiently long (2030 um) to span interply matrix regions, acting as mechanical reinforcement in addition to improving electrical conductivity by a factor of more than a million. Optimized electrode patterns are applied to the CNT-enhanced structure, and hardware provides closed-loop feedback control. Ice-detection is based on effective heat capacity, where power is applied to CNT-enhanced laminates (termed fuzzy fiber reinforced plastic, or FFRP) for seconds, and the slope of the temperature rise can be correlated to the thickness of ice present. For de-icing (melting) and antiicing (prevention of ice formation) a resistive heating principal is used. Voltage is applied to the FFRP material, which heats rapidly due to the small but finite resistance imparted by the CNTs. Structural diagnostics is achieved by monitoring and mapping changes in electrical resistance across electrode grid paths.
Study on Health of Household: From Educational Human Capital and Wealth

Health is an important goal human being pursuing for, and the related researches show that health is impacted by some factors such as household’s wealth and level of education. This paper brings forward a new research structure on health of household including education and wealth of household, and through the control of other factors such as rural medical insurance system, analyses the impact of education and wealth of household on health of household. Some research methods are used such as ANOVA and Binary Logistic Regression, and the outcome shows that a significant relation exists among health of household, education and wealth of household, and a negative relation between health and wealth of household. According to the research outcome, this paper gives some advice such as advancing basic rural education, health investment, and rural medical service system to improve health of rural household.
Single-Event Burnout and Avalanche Characteristics of Power DMOSFETs

Analyses of quasi-stationary avalanche simulations on radiation-hardened power MOSFETs suggest that the single-event burnout (SEB) failure is determined by the device's avalanche characteristics and confirm SEB failure mechanism is due to the turn-on of parasitic bipolar transistor. The heavy ion beam is only acting as a trigger. Simulation results on various 600 V and 250 V radiation-hardened power MOSFETs from International Rectifier are compared to an extensive set of single event effect test results and prove quasi-stationary avalanche simulation is capable of evaluating and predicting SEB susceptibility
The 80/20 Rule and Long-Tail in the Online Auction Market: A Case Study on YAHOO Auction, Taiwan

The online auction market has been growing rapidly, but what are the significant effects on Taiwan? Based upon the 80/20 rule and the Long Tail, the paper started its observation by taking Yahoo Auction platform as a case study and found a negative co-variance existing between performance and the number of online sellers. A further analysis showed that these 20% sellers promoted more items of goods online than numerous online sellers with less efficient performance. The former ones were found to have attracted more patronage than 80% of the sellers do, and they were capable of promoting both popular and rare goods, which led to sustained revenues in E-commerce. The paper concluded that 80% of economies of scale in the online auction market are characterized by higher performance sellers that constitute 20% of the whole participants, a sign that proves supportive of the 80/20 rule. These 20% sellers display more items of goods online and create more revenues than those of the lower performance sellers do, a sign that reflects the Long Tail. The co-existence of the 80/20 rule and the Long Tail, may serve as a preliminary study for further academic research.
Status Epilepticus Increases the Intracellular Accumulation of GABAA Receptors

Status epilepticus is a neurological emergency that results in mortality and neurological morbidity. It has been postulated that the reduction of inhibitory transmission during status epilepticus results from a rapid modification of GABAA receptors. However, the mechanism(s) that contributes to this modification has not been elucidated. We report, using an in vitro model of status epilepticus combined with electrophysiological and cellular imaging techniques, that prolonged epileptiform bursting results in a reduction of GABA-mediated synaptic inhibition. Furthermore, we found that constitutive internalization of GABAA receptors is rapid and accelerated by the increased neuronal activity associated with seizures. Inhibition of neuronal activity reduced the rate of internalization. These findings suggest that the rate of GABAA receptor internalization is regulated by neuronal activity and its acceleration contributes to the reduction of inhibitory transmission observed during prolonged seizures.
AVALIAÇÃO PÓS-OCUPAÇÃO DE PROJETO PADRÃO PROINFÂNCIA: UMA ABORDAGEM MULTIMÉTODOS NO CMEI - ESPAÇO DA INFÂNCIA

This article consists on the report of the case study of CMEI Espaço da Infância, ProInfância standard project, located in Coronel Fabriciano, Minas Gerais. This work aims to emphasize the evaluation of behavioral aspects, through a critical analysis of methods: the Inspection, the Walkthrough, the Behavioral Map, the Thematic Drawing and the Wish Poem. It is explained the relevance of the selection of appropriate methods to map the perceptions of the users, describing the applications dynamics of the selected techniques, comparing those applications and providing technologies to assist the Post-Occupational Evaluation (POE). It is understood that the diffusion of experiences presente at the POE, contributes to works in this field and stimulates architecture and urbanism professionals and students.
Development of the customer centric data visibility framework for the enhancement of the trust of SME customers in cloud services

Cloud computing is a pervasive technology and platform in IT for several years. Cloud service providers have developed and offered different service platforms to accommodate different needs of enterprise subscribers. However, there still exists the situation of enterprise customers' hesitation and reluctance to deploy their core applications using cloud service platforms. The term data visibility has been widely used in the IT industry especially from ICT product and solution vendors. However, there is not any practice guideline, nor standard in industry to define this term. This paper defined the characteristic and dimensions of data visibility, from conceptual model to framework architecture of customer centric data visibility (CCDV) on cloud platform. It propose to apply CCDV as reference model or practice guideline on cloud computing service, with enhancement of data visibility which can earn the trust from enterprise customer in adopting public cloud service.
Alien introgression in the grasses Lolium perenne (perennial ryegrass) and Festuca pratensis (meadow fescue): the development of seven monosomic substitution lines and their molecular and cytological characterization.

BACKGROUND AND AIMS To address the issues associated with food security, environmental change and bioenergy in the context of crop plants, the production, identification and evaluation of novel plant phenotypes is fundamental. One of the major routes to this end will be wide hybridization and introgression breeding. The transfer of chromosomes and chromosome segments between related species (chromosome engineering or alien introgression) also provides an important resource for determining the genetic control of target traits. However, the realization of the full potential of chromosome engineering has previously been hampered by the inability to identify and characterize interspecific introgressions accurately. METHODS Seven monosomic substitution lines have been generated comprising Festuca pratensis as the donor species and Lolium perenne as the recipient. Each of the seven lines has a different L. perenne chromosome replaced by the homoeologous F. pratensis chromosome (13 L. perenne + 1 F. pratensis chromosome). Molecular markers and genomic in situ hybridization (GISH) were used to assign the F. pratensis chromosomes introgressed in each of the monosomic substitutions to a specific linkage group. Cytological observations were also carried out on metaphase I of meiosis in each of the substitution lines. RESULTS A significant level of synteny was found at the macro-level between L. perenne and F. pratensis. The observations at metaphase I revealed the presence of a low level of interspecific chromosomal translocations between these species. DISCUSSION The isolation of the seven monosomic substitution lines provides a resource for dissecting the genetic control of important traits and for gene isolation. Parallels between the L. perenne/F. pratensis system and the Pooideae cereals such as wheat, barley, rye, oats and the model grass Brachypodium distachyon present opportunities for a comparison across the species in terms of genotype and phenotype.
Cross-Lingual Study of ASR Errors: On the Role of the Context in Human Perception of Near-Homophones

It is widely acknowledged that human listeners significantly outperform machines when it comes to transcribing speech. This paper presents a paradigm for perceptual experiments that aims to increase our understanding of human and automatic speech recognition errors. The role of the context length is investigated through perceptual recovery of small homophonic words or near-homophones yielding frequent automatic transcription errors. The same experimental protocol of varied size speech stimuli transcription is applied to both French and English. Our hypothesis is that ambiguity due to homophonic words reduces with context size for both languages, which in turn should entail reduced perception and transcription errors. The results show that context plays a central role as the human word error rate decreases significantly with increasing context. The long-term aim is to improve the modelling of such ambiguous items to reduce automatic errors.
Transparent Interoperability Middleware between Data and Service Cloud Layers

Over the years, many organizations have been using cloud computing services to persist, consume and provide data. Models such as Software as a Service (SaaS), Data as a Service (DaaS), and Database as a Service (DBaaS) are consumed on demand to serve a specific purpose. In summary, SaaS is a delivery model for applications, while DaaS and DBaaS are models to provide data and database management systems on demand, respectively. SaaS applications require additional efforts to access those data due to their heterogeneity: Non-structured (e.g. text), semi-structured (e.g. XML, JSON), and structured format (e.g. Relational Database). Consequently, the lack of standardization from DaaS and DBaaS generates a lack of interoperability among cloud layers. In this paper, we propose a middleware MIDAS (Middleware for DaaS and SaaS) to provide transparent interoperability between Services (SaaS) and Data layers (DaaS and DBaaS). Our current version of MIDAS concerns two important issues: (i) a formal description of our middleware and (ii) a joining data from different DaaS and DBaaS. To evaluate our middleware, we provide a set of experiments to handle functional, execution time, overhead, and interoperability issues. Our results demonstrate the effectiveness of our approach to addressing interoperability concerns in cloud computing environments.