Miracle-dz/UniFAR-FTUs huggingface dataset:
IT Identity: Developing Valid Measures through CFA-Based MTMM Analysis

Informed by identity literature, this study develops a set of theory-based definitions and measures for investigating how individuals’ self-identification with particular IT (termed IT identity) influences their ongoing IT use behaviors. In doing so, it contributes to both IS theory and research methods. For methods, determining whether a construct can be measured by at least two methods is an often overlooked aspect of establishing construct validity. Detailing the steps involved in CFA-based MTMM analysis may serve as a guide to IS researchers seeking to develop valid, or evaluate alternative, measures of perceptual phenomena. For IS theory, conceptualizing IT identity as a new form of material identity has the potential to open up new ways of thinking about individuals’ long-term interactions with IT. In clearly articulating the construct’s conceptual domain and operationalizing the construct, this study reinforces the point that there is a lot of theory involved in measurement.
An Efficient Technique for Energy Consumption in Distributed Cloud Network using Ant Technique

Cloud Computing enables various users on the way to send their facts over cloud as well as also in distrusted manner. But during the transmission of data over distributed network in cloud, energy consumption is more and hence network becomes unstable and costly. Hence various techniques are implemented for the energy consumption in cloud network, but the technique implemented so far is not an efficient and stable technique for the energy consumption as well as execution time. Here an efficient technique is implemented for the energy consumption as well as for the less execution of data transmission and overload over cloud network using Ant based shortest path.
An Approach to Constructing a Homogeneous Time Series of Soil Moisture Using SMOS

Overlapping soil moisture time series derived from two satellite microwave radiometers (the Soil Moisture and Ocean Salinity (SMOS) and the Advanced Microwave Scanning Radiometer-Earth Observing System) are used to generate a soil moisture time series from 2003 to 2010. Two statistical methodologies for generating long homogeneous time series of soil moisture are considered. Generated soil moisture time series using only morning satellite overpasses are compared to ground measurements from four watersheds in the U.S. with different climatologies. The two methods, cumulative density function (CDF) matching and copulas, are based on the same statistical theory, but the first makes the assumption that the two data sets are ordered the same way, which is not needed by the second. Both methods are calibrated in 2010, and the calibrated parameters are applied to the soil moisture data from 2003 to 2009. Results from these two methods compare well with ground measurements. However, CDF matching improves the correlation, whereas copulas improve the root-mean-square error.
Feature-level fusion in personal identification

The existing studies of multi-modal and multi-view personal identification focused on combining the outputs of multiple classifiers at the decision level. In this study, we investigated the fusion at the feature level to combine multiple views and modals in personal identification. A new similarity measure is proposed, which integrates multiple 2D view features representing a visual identity of a 3D object seen from different viewpoints and from different sensors. The robustness to non-rigid distortions is achieved by the proximity correspondence manner in the similarity computation. The feasibility and capability of the proposed technique for personal identification were evaluated on multiple view human faces and palmprints. This research demonstrates that the feature-level fusion provides a new way to combine multiple modals and views for personal identification.
Suppression of Cochannel Interference in GSM by Pre-demodulation Signal Processing

It is shown that FRESH (frequency-shift) filtering prior to Viterbi demodulation in GSM basestations and/or handsets can multiply the number of cochannel signals that can be separated with M antennas by (2M-1)/(M-1): suppression of 1 interferer with one antenna, 3 interferers with a diversity antenna pair, and 2M1 interferers with M antennas. The network-level simulations reported in this paper clearly demonstrate that FRESH filtering prior to demodulation in GSM basestations and/or handsets provides a cost-effective means of substantially improving system performance regardless of the antenna subsystem used. In all cases considered, single antenna, pair of diversity antennas, fully adaptive array of four omnidirectional antennas per 120° sector, and switched-beam array of four 30° antennas per 120° sector, FRESH filtering substantially reduces BER and FER (thereby improving quality) and/or reduces required SNR (thereby increasing range) and/or enables reduced frequency reuse factor (thereby increasing capacity).
Price Expectations, Distressed Mortgage Markets and the Housing Wealth Effect

Using a unique combination of regulatory and survey microdata, we examine the importance of the life cycle theory of consumption in estimating housing wealth effects for the Irish mortgage market. Since the recent financial crisis, this market has experienced substantial house price declines and negative equity. Thus, house price expectations are likely to be important in influencing housing wealth effects. We find a positive correlation between consumption and changes in housing wealth among our sample of mortgaged Irish households. Furthermore, we find that this positive association only exists when housing wealth changes are perceived to be of a permanent nature.
High precision linear motor control via relay-tuning and iterative learning based on zero-phase filtering

In this paper, with a modest amount of modeling effort, a feedback-feedforward control structure is proposed for precision motion control of a permanent magnet linear motor for applications which are inherently repetitive in terms of the motion trajectories. First, a proportional-integral-derivative (PID) feedback controller is designed using an automatic relay tuning method. An iterative learning controller based on zero-phase filtering is applied as feedforward controller to the existing relay-tuned PID feedback controller to enhance the trajectory tracking performance by utilizing the experience gained from the repeated execution of the same operations. Experimental results are presented to demonstrate the practical appeal and effectiveness of the proposed scheme.
Pruned Simple Model Sets for Fast Exact Recovery of Image

Reconstruction of image can be defined as the general problem of estimating a two-dimensional object from a partial version of this object (a limited set of "projections"). In this paper, we propose new approach for image reconstruction based onsimple quasicrystals and L1 minimisation. We discuss the exact reconstruction of an image supposed to have small spectra. We show that simple model sets may be used as sampling set for exact recovery. Moreover, by eliminating a finite number of points from the simple model sets we still have exact recovery. This last aspect is very important for practical applications, e.g. lossy compression. We run our approch on benchmark images data sets and show that the quasicrystal sampling is more performant than the random uniform in terms of time execution when the dimension of the input image increases.
Arachis batizocoi: a study of its relationship to cultivated peanut (A. hypogaea) and its potential for introgression of wild genes into the peanut crop using induced allotetraploids

Background and Aims Arachis batizocoi is a wild relative of cultivated peanut (A. hypogaea), an allotetraploid with an AABB genome. Arachis batizocoi was once considered the ancestral donor of the peanut B genome, but cytogenetics and DNA phylogenies have indicated a new genome classification, ‘K’. These observations seem inconsistent with genetic studies and breeding that have shown that A. batizocoi can behave as a B genome. Methods The genetic behaviour, genome composition and phylogenetic position of A. batizocoi were studied using controlled hybridizations, induced tetraploidy, whole-genome in situ fluorescent hybridization (GISH) and molecular phylogenetics. Key Results Sterile diploid hybrids containing AK genomes were obtained using A. batizocoi and the A genome species A. duranensis, A. stenosperma, A. correntina or A. villosa. From these, three types of AAKK allotetraploids were obtained, each in multiple independent polyploidy events. Induced allotetraploids were vigorous and fertile, and were hybridized to A. hypogaea to produce F1 hybrids. Even with the same parental combination, fertility of these F1 hybrids varied greatly, suggesting the influence of stochastic genetic or epigenetic events. Interestingly, hybrids with A. hypogaea ssp. hypogaea were significantly more fertile than those with the subspecies fastigiata. GISH in cultivated × induced allotetraploids hybrids (harbouring AABK genomes) and a molecular phylogeny using 16 intron sequences showed that the K genome is distinct, but more closely related to the B than to the A genome. Conclusions The K genome of A. batizocoi is more related to B than to the A genome, but is distinct. As such, when incorporated in an induced allotetraploid (AAKK) it can behave as a B genome in crosses with peanut. However, the fertility of hybrids and their progeny depends upon the compatibility of the A genome interactions. The genetic distinctness of A. batizocoi makes it an important source of allelic diversity in itself, especially in crosses involving A. hypogaea ssp. hypogaea.
Mitigated NSAID-induced apoptotic and autophagic cell death with Smad7 overexpression

Non-steroidal anti-inflammatory drugs damaged gastrointestinal mucosa in cyclooxygenase-dependent and -independent pathway, among which apopototic or autophagic cell death in gastrointestinal cells might be one of key cytotoxic mechanisms responsible for NSAID-induced damages. Therefore, alleviating this cell death after NSAIDs can be a rescuing strategy. In this study, we explored the role of Smad7 on NSAID-induced cytotoxicity in gastric epithelial cells. Using RGM1 cells, we have compared biological changes between mock-transfected and Smad7-overexpressed cells. As results, significantly decreased cytotoxicity accompanied with decreased levels of cleaved caspase-3 and poly (ADP-ribose) polymerase, Bax, and autophagic vesicles concurrent with decreased expressions of autophagy protein 5 and microtubule-associated protein light chain 3B-II were noted in Smad7-overexpressed cells with indomethacin administration compared to mock-transfected cells. Contrast to mitigated apoptotic execution, anti-apoptotic Bcl-2 and Beclin-1 were significantly increased in Smad7-overexpressed cells compared to mock-transfected cells. Smad7 siRNA significantly reversed these protective actions of Smad7 against indomethacin, in which p38 mitogen-activated protein kinase was significantly intervened. Furthermore, indomethacin-induced Smad7 degradation through ubiquitin-proteasome pathway was relevant to increased cytotoxicity, while chloroquine as autophagy inhibitor significantly attenuated indomethacin-induced cytotoxicity through Smad7 preservation via repressed ubiquitination. Conclusively, either genetic overexpression or pharmacological induction of Smad7 significantly attenuated indomethacin-induced gastric cell damages.
An O(n)-Space O(log n/log log n + f)-Query Time Algorithm for 3-D Dominance Reporting

We present a linear-space algorithm for handling the three-dimensional dominance reporting problem: given a set S of n three-dimensional points, design a data structure for S so that the points in S which dominate a given query point can be reported quickly. Under the variation of the RAM model introduced by Fredman and Willard 8], our algorithm achieves O(log n= loglog n + f) query time, where f is the number of points reported. Extensions to higher dimensions are also reported.
Summation Laws in Power Quality Assessment , Load Forecasting and Energy Policy : a New Analysis

Summation laws are used by power system planners wherever it is necessary to estimate the aggregate effect of fluctuating influences from multiple sources in a power system. Examples include the aggregation of harmonic emissions from customers connected at the same point in a network, the aggregation of diverse customer loads, and capacity planning in systems containing large amounts of unscheduled generation. Given their breadth of application and their extensive use in normative standards, the choice of summation laws that adequately represent true aggregation effects is a matter of great practical importance. In practice, however, the assumptions underlying the summation laws in common use are not generally fulfilled, and field experience suggests that they may systematically overestimate the effect of a new installation on an existing network. This paper sets out a new probabilistic analysis of statistical aggregation in power systems, building on earlier analyses but drawing on more rigorous and practically motivated foundations. The analysis suggests some possible improvements in the application of existing summation laws, as well as new laws applicable to certain kinds of fluctuations in real power systems. The differences in results from use of novel approaches compared with existing laws are analysed and the planning implications discussed.
An efficient new multi-language clone detection approach from large source code

In software engineering, the concept of code reuse is very common. Code reuse is the concept of copying and pasting the code in multiple places in the same software or different software without modification. This practice may reduce software maintainability and give rise to serious maintenance problems. In the last few decades numerous code clone detection techniques and tools have been proposed for capturing duplicated redundant code. Each of these techniques attempts to find out the duplicated code, which is also known as software clone. These techniques include Kclone, CP-Miner, CC-Finder, CReN etc. The objective of those researches is the exploration of various clone detection techniques and tools proposed so far. In this study, we propose an efficient clone detection technique which is used to detect clones in various programming languages. We have endeavored to improve performance and overcome the key problem of detecting clones in only one language. The proposed technique has been evaluated using two-dimensional array which has exhibited a faster method of storing and identification of clones in source code. We are also working on some of its future directions including the removal of the clones detected from the source code.
TAp63γ Demethylation Regulates Protein Stability and Cellular Distribution during Neural Stem Cell Differentiation

p63 is a close relative of the p53 tumor suppressor and transcription factor that modulates cell fate. The full-length isoform of p63, containing a transactivation (TA) domain (TAp63) is an essential proapoptotic protein in neural development. The role of p63 in epithelial development is also well established; however, its precise function during neural differentiation remains largely controversial. Recently, it has been demonstrated that several conserved elements of apoptosis are also integral components of cellular differentiation; p53 directly interacts with key regulators of neurogenesis. The aim of this study was to evaluate the role of p63 during mouse neural stem cell (NSC) differentiation and test whether the histone H3 lysine 27-specific demethylase JMJD3 interacts with p63 to redirect NSCs to neurogenesis. Our results showed that JMJD3 and TAp63γ are coordinately regulated to establish neural-specific gene expression programs in NSCs undergoing differentiation. JMJD3 overexpression increased TAp63γ levels in a demethylase activity-dependent manner. Importantly, overexpression of TAp63γ increased β-III tubulin whereas downregulation of TAp63γ by specific p63 siRNA decreased β-III tubulin. Immunoprecipitation assays demonstrated direct interaction between TAp63γ and JMJD3, and modulation of TAp63γ methylation status by JMJD3-demethylase activity. Importantly, the demethylase activity of JMJD3 influenced TAp63γ protein stabilization and cellular distribution, as well as TAp63γ-regulated neurogenesis. These findings clarify the role of p63 in adult neural progenitor cells and reveal TAp63γ as a direct target for JMJD3-mediated neuronal commitment.
Prevalence of Vitamin D Deficiency in Elderly Patients Admitted to an Inpatient Rehabilitation Unit in Tropical Singapore

Background. Data on hypovitaminosis D in elderly patients admitted to rehabilitation units in tropical countries are scarce. Objective. To assess the prevalence of vitamin D deficiency and its associated risk factors in elderly patients admitted to a rehabilitation unit in tropical Singapore. Methods. Prospective, cohort study of 134 subjects ≥ 65 years old admitted to a tertiary rehabilitation centre. Serum 25-hydroxyvitamin D3 (25OHD3) was measured on rehabilitation admission. Results. Mean age was 72.0 ± 5.7 years, and stroke was the commonest rehabilitation diagnosis (49.3%). Low 25OHD3 levels were present in 115 patients (85.6%) and 59 patients (44%) were deemed to be vitamin D deficient. The mean PTH level was significantly higher in patients with low 25OHD3 levels. (p = 0.002) Age, gender, vitamin D supplementation, premorbid ambulatory status, and admission/discharge Functional Independence Measure scores were not significantly associated with vitamin D deficiency. Malays/Indians (p = 0.013) and recurrent fallers (p = 0.029) were at significantly higher risk of vitamin D deficiency. Conclusions. Despite the tropical weather, vitamin D deficiency is common in elderly subjects admitted to a rehabilitation unit in Singapore. Routine assessment of vitamin D levels is recommended especially in those with a history of recurrent falls and patients of Indian/Malay ethnicity.
Routing protocols for self-organizing hierarchical ad-hoc wireless networks

A novel self-organizing hierarchical architecture is proposed for improving the scalability properties of adhoc wireless networks. This paper focuses on the design and evaluation of routing protocols applicable to this class of hierarchical ad-hoc networks. The performance of a hierarchical network with the popular dynamic source routing (DSR) protocol is evaluated and compared with that of a conventional “flat” ad-hoc networks using an ns-2 simulation model. The results for an example sensor network scenario show significant capacity increases with the hierarchical architecture (∼4:1). Alternative routing metrics that account for energy efficiency are also considered briefly, and the effect on user performance and system capacity are given for a specific example.
A Comparative Study of Minimally Supervised Morphological Segmentation

This article presents a comparative study of a subfield of morphology learning referred to as minimally supervised morphological segmentation. In morphological segmentation, word forms are segmented into morphs, the surface forms of morphemes. In the minimally supervised data-driven learning setting, segmentation models are learned from a small number of manually annotated word forms and a large set of unannotated word forms. In addition to providing a literature survey on published methods, we present an in-depth empirical comparison on three diverse model families, including a detailed error analysis. Based on the literature survey, we conclude that the existing methodology contains substantial work on generative morph lexicon-based approaches and methods based on discriminative boundary detection. As for which approach has been more successful, both the previous work and the empirical evaluation presented here strongly imply that the current state of the art is yielded by the discriminative boundary detection methodology.
Residual echo reduction based on MMSE estimator in acoustic echo canceller

In this paper, a residual echo cancellation method is proposed that uses an estimation of the minimum mean-square error (MMSE) based on a statistical model of a speech signal and an echo signal. After the suppression of the echo signal based on the adaptive filter, residual echo is further reduced by the proposed MMSE estimator and the results are compared with the conventional Wiener filter based method.
Improvement of Dementia Screening Accuracy of Mini-Mental State Examination by Education-Adjustment and Supplementation of Frontal Assessment Battery Performance

This study aimed to investigate whether the demographic variable-adjustment and supplementation of Frontal Assessment Battery (FAB) score can improve the screening ability of Mini-Mental State Examination (MMSE) for dementia and its subtypes. Five hundred forty-one non-demented comparison (NC) and 474 dementia (320 Alzheimer's disease [AD]; 139 non-Alzheimer's disease dementia [NAD]; and 15 mixed AD-NAD dementia) individuals living in the community were included. Education-adjusted MMSE (MMSE-edu) score showed significantly better screening accuracy for overall dementia, AD, and NAD than MMSE raw score. FAB-supplemented MMSE (MMSE-FAB) score had significantly better screening ability for NAD, but not for overall dementia and AD, than MMSE raw score alone. Additional supplementation of FAB to MMSE-edu further increased the ability for overall dementia or NAD screening, but not for AD screening. Further education adjustment of MMSE-FAB also improved its ability for overall dementia, AD, and NAD screening. These results strongly support the usefulness of education-adjustment and supplementation of frontal function assessment to improve screening performance of MMSE for dementia and its subtypes, NAD in particular.
Modeling Mechanisms with Nonholonomic Joints Using the Boltzmann-Hamel Equations

This article describes a new technique for deriving dynamic equations of motion for serial chain and tree topology mech anisms with common nonholonomic constraints. For each type of nonholonomic constraint, the Boltzmann-Hamel equations produce a concise set of dynamic equations. These equations are similar to Lagrange's equations and can be applied to mechanisms that incorporate that type of constraint. A small library of these equations can be used to efficiently analyze many different types of mechanisms. Nonholonomic constraints are usually included in a La grangian setting by adding Lagrange multipliers and then eliminating them from the final set of equations. The ap proach described in this article automatically produces a minimum set of equations of motion that do not include La grange multipliers.
Do Investment Banks Listen to Their Own Analysts?

To what extent conflicts of interest affect the investment value of sell-side analyst research is an ongoing debate. We approach this issue from a new direction by investigating how asset-management divisions of investment banks use stock recommendations issued by their own analysts. Based on holdings changes around initiations, upgrades, and downgrades from 1993 to 2003, we find that these bank-affiliated investors follow recommendations from sell-side analysts in general, increasing (decreasing) their relative holdings following positive (negative) recommendations. More importantly, these investors respond more strongly to recommendations issued by their own analysts than to those issued by analysts affiliated with other banks, especially for recommendations on small and low-analyst-coverage firms. Thus, we find that investment banks “eat their own cooking,” showing that these presumably sophisticated institutional investors view sell-side recommendations as having investment value, particularly when the recommendations come from their own analysts.