Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating Home Buyer Loyalty through Satisfaction and Perceived Value Dimensions

Real estate developments in Thailand, particularly housing, contribute to economic and national development. Almost all housing in Thailand is provided by the private sector. However, due to high competition and also negative factors affecting housing market such as economic downturn, political instability, high interest rate, etc., developers have to increase their competitive potential to survive in this market. A house is an important element for living but it normally has high value. Consequently, people do not buy houses frequently during their lifetime. This is why many residential developers ignore ways to promote customer loyalty. However, according to some successful real estate developers in Thailand, 30% – 40% of customers visiting new residential projects during the selling period are influenced by word of mouth from former customers. This implied that customer loyalty is very important in successfully running a real estate business in the long run. According to previous related research paper, customer loyalty is affected by customer satisfaction, while customer satisfaction is derived from customer perceived value. The purpose of this study is to identify the dimensions of customer perceived value of purchasing a house in a housing estate and investigate their impact on customer loyalty, using customer satisfaction as a mediating variable. The dimensions of perceived value from related study consisted of functional value including product and price, social value, emotional value and relational value. Most research in the past focused only on the perception of tangible value related to a physical product. This research, however, is concerned more about intangible value. Data was collected from 253 home buyers/owners living in housing estates developed in Bangkok and peripheral areas due to high housing density in this area. Factor analysis was used as an analysis tool to confirm the underlying dimensions according to previous study and then, regression was employed to quantify the relationship between perceived value and satisfaction and also the relationship between satisfaction and loyalty. The study found that all dimensions of customer perceived value from previous study have a positive impact on both customer satisfaction and loyalty significantly. It’s interesting that “relational value” emerged as the most important factor to customer satisfaction in the study rather than core function of the product. This finding has implications for housing estate developers to concern more about relationship with their customers to create customer loyalty leading to long term benefits.
On integrated model for image filtering and segmenting based on Structure Statistic of Decomposable Markov Network

The removing of image noise, which is abnormity of pixels, is image filtering, and the key of problem is ascertaining the location of pixels with abnormity gray-level. The segmenting pixels with no-similar gray-level are image segmentation. Obviously, the abnormity gray-level is equal to no-similar gray-level in measurement of pixels. So a model integrated (namely Decomposable Markov Networks, for short, DMN), which not only can segment but also filter image, is put forward. The microcosmic configurations of DMN are obtained by computing pixels attribute (namely gray-level, texture and so on), and can firstly identify normal (namely including no-similar or similar gray-level) or abnormity gray-level (namely possible noise). The abilities of DMN identifying are realized by linking intension of networks, which derive a new uncertain complication (namely uncertain relations of microcosmic link) that is leaded by natural random factors of image data spatial distributing. So the macroscopical Structure Statistic of Decomposable Markov Network (SSDMN) can identify statistical abnormity gray-level (namely including no-similar [possible noise] and similar gray-level), and then filtering and segmenting image is implemented by a model integrated. Obviously, the DMN is facility of integration, and settles a difficult problem, which is uniting description of pixels numerical value and its spatial locations.
Steganalysis in Multiple Sources of Cover Images

45 dimensional feature vectors were extracted from DCT and spatial domains of images to defeat steganographic schemes in this paper. Compared with commonly used steganalytic algorithms, the presented method offers much better performances in double JPEG compressed covers and their stegos. However, when our method was applied to detect whether multiple sources of images containing hidden data or not, it showed very poor performances. An improved training technique was proposed and a robuster steganalytic algorithm was designed.
Separation of Linearly Mixed Speech Signals using DWT based ICA

Speech is the fundamental means of communication among humans. Speech production is the process of converting a linguistic message to the acoustic waveform. Separating various linearly mixed speech signals is often modelled by famous cocktail party problem and can be achieved by a technique known as Independent Component Analysis (ICA). ICA is similar to PCA and Factor analysis but it works on non-Gaussian mixture of signals. In this paper, the problem of separating linearly mixed signals is solved by using filter banks with ICA. Comparison of existing ICA technique with the one proposed is done based on experimental results which shows that the proposed algorithm over performs basic ICA.
Relevance: An improved framework for explicating the notion

Synthesizing and building on many ideas from the literature, this article presents an improved conceptual framework that clarifies the notion of relevance with its many elements, variables, criteria, and situational factors. Relevance is defined as a Relationship (R) between an Information Object (I) and an Information Need (N) (which consists of Topic, User, Problem/Task, and Situation/Context) with focus on R. This defines Relevance-as-is (conceptual relevance, strong relevance). To determine relevance, an Agent A (a person or system) operates on a representation I′ of the information object and a representation N′ of the information need, resulting in relevance-as-determined (operational measure of relevance, weak relevance, an approximation). Retrieval tests compare relevance-as-determined by different agents. This article discusses and compares two major approaches to conceptualizing relevance: the entity-focused approach (focus on elaborating the entities involved in relevance) and the relationship-focused approach (focus on explicating the relational nature of relevance). The article argues that because relevance is fundamentally a relational construct the relationship-focused approach deserves a higher priority and more attention than it has received. The article further elaborates on the elements of the framework with a focus on clarifying several critical issues on the discourse on relevance. © 2013 Wiley Periodicals, Inc.
Draft Genome Sequence of Donghicola sp. Strain KarMa, a Model Organism for Monomethylamine-Degrading Nonmethylotrophic Bacteria

ABSTRACT The C1-compound monomethylamine can serve as a nitrogen, carbon, and energy source for heterotrophic bacteria. The marine alphaproteobacterium Donghicola sp. strain KarMa can use monomethylamine as a source only for nitrogen and not for carbon. Its draft genome sequence is presented here and reveals putative gene clusters for the methylamine dehydrogenase and the N-methylglutamate pathways for monomethylamine metabolism.
Quadrature control principle of hemispherical resonator gyro

The dynamics equations of resonator were established and the solutions of the dynamics equations under quadrature control mode and quasi quadrature control mode were achieved, then the relations between the excitation and the input angular rate were derived under both modes. By comparing and analyzing, the simplicity and the practicability of the quasi quadrature control mode were better than that of the quadrature control mode. Finally, the method of greatly improving HRG's accuracy under quasi quadrature control was achieved.
Whole-mount immunostaining protocol for screening of spatial organizations of cerebellar compartmentation

This paper introduces a protocol for whole-mount immunostaining adapted for the adult mouse cerebellum. This technique was originally described by Sillitoe and Hawkes (J His-tochem Cytochem 50:235-244, 2002) for screening the parasagittal arrangements of cere-bellar compartmentation antigens, i.e., zebrin II and heat shock protein (HSP25). We fur-ther optimized this technique to apply to heat-induced antigen retrieval, which provides a more rapid and efficient way to perform whole-mount immunostaining of adult tissues (Sawada and Sun, Curr Neurobiol 1:21-24, 2010). This approach allows for the visualiza-tion of spatial organizations of cerebellar examinations of the normal topography, particu-lar components of olivocerebellar tracts, and patterning defects caused by mutations without 3D reconstruction of immunostained serial sections.
Computer-assisted decomposition of the electromyograms

Analyses the scope of multimodal parametric searching (MPS) as a means for the decomposition of electromyograms (EMGs). The approach is based on a predefined set of signal sources that are described by some parameters. These signal sources are searched for in a superimposed signal by calculation of the Euclidian distance and by looking for its minimum. The signal sources are applied successively, according to the changes in their parameters, and peeled off at the minimum Euclidian distance found. The minima detected are then displayed in parametric space as a parametric representation. We show that such a technique is reliable enough for the decomposition of needle EMGs at low contraction forces. Applied to surface EMGs, it still discerns different phenomena, although not always with a direct relationship to reality. This is because of the method's ambiguity, amplitude ratio dependency and a bias in the distribution of the detected signal components. Finally, we introduce a novel approach based on the wavelet transform and using the elements of the parametric search. Both approaches give comparable decomposition results when applied to the EMGs.
Supporting the Dynamic Reprioritization of Requirements in Agile Development of Software Products

Agile requirements engineering is the approach of choice for many software producers whose realities include highly uncertain requirements, use of new development technology, and clients willing to explore the ways in which an evolving product can help their business goals. From customer's perspective, the activity of continuous requirements reprioritization forms the very core of today's agile approaches. However, the freedom for clients to do so does not come for free. This paper presents results of a literature review on agile requirements prioritization methods, derives a conceptual model for understanding the inter-iteration prioritization process in terms of inputs and outcomes, and identifies issues and solutions pertinent to agile prioritization. The latter are derived from the authors' experiences and by using empirical data, published earlier by other authors.
Outcome analysis in patients with uterine sarcoma

Purpose To analyze the prognostic factors for survivals and to evaluate the impact of postoperative whole pelvic radiotherapy (WPRT) on pelvic failure in patients with uterine sarcoma treated with radical surgery. Materials and Methods We retrospectively analyzed 75 patients with uterine sarcoma who underwent radical surgery with (n = 22) or without (n = 53) radiotherapy between 1990 and 2010. There were 23 and 52 patients with carcinosarcoma and non-carcinosarcoma (leiomyosarcoma, 22; endometrial stromal sarcoma, 25; others, 5), respectively. The median follow-up period was 64 months (range, 17 to 269 months). Results The 5-year overall survival (OS) and pelvic failure-free survival (PFFS) of total patients was 64.2% and 83.4%, respectively. Multivariate analysis revealed that mitotic count (p = 0.006) was a significant predictor of OS. However, factors were not found to be associated with PFFS. On analyzing each of the histologic subtypes separately, postoperative WPRT significantly reduced pelvic failure in patients with carcinosarcoma (10.0% vs. 53.7%; p = 0.046), but not in patients with non-carcinosarcoma (12.5% vs. 9.9%; p = 0.866). Among the patients with carcinosarcoma, 4 patients (17%) had recurrence within the pelvis and 3 patients (13%) had recurrence in other sites as an initial failure, whereas among the patients with non-carcinosarcoma, 3 patients (6%) experienced pelvic failure and 13 patients (25%) experienced distant failure. Conclusion The most significant predictor of OS was mitotic count. Based on the improved PFFS after postoperative WPRT only in patients with carcinosarcoma and the difference in patterns of failure between histologic subtypes, optimal adjuvant treatment options should be offered to patients based on the risk of recurrence patterns.
Rest-Frame Ultraviolet Spectra of z ∼ 3 Lyman Break Galaxies

We present the results of a systematic study of the rest-frame UV spectroscopic properties of Lyman break galaxies (LBGs). The database of almost 1000 LBG spectra proves useful for constructing high signal-to-noise composite spectra. The composite spectrum of the entire sample reveals a wealth of features attributable to hot stars, H II regions, dust, and outflowing neutral and ionized gas. By grouping the database according to galaxy parameters such as Lyα equivalent width, UV spectral slope, and interstellar kinematics, we isolate some of the major trends in LBG spectra that are least compromised by selection effects. We find that LBGs with stronger Lyα emission have bluer UV continua, weaker low-ionization interstellar absorption lines, smaller kinematic offsets between Lyα and the interstellar absorption lines, and lower star formation rates. There is a decoupling between the dependence of low- and high-ionization outflow features on other spectral properties. Additionally, galaxies with rest-frame WLyα ≥ 20 Å in emission have weaker than average high-ionization lines and nebular emission lines that are significantly stronger than in the sample as a whole. Most of the above trends can be explained in terms of the properties of the large-scale outflows seen in LBGs. According to this scenario, the appearance of LBG spectra is determined by a combination of the covering fraction of outflowing neutral gas, which contains dust and the range of velocities over which this gas is absorbing. In contrast, the strengths of collisionally excited nebular emission lines should not be affected by the nature of the outflow, and variations in these lines may indicate differences in the temperatures and metallicities in H II regions of galaxies with very strong Lyα emission. Higher sensitivity and spectral resolution observations are still required for a full understanding of the covering fraction and velocity dispersion of the outflowing neutral gas in LBGs and its relationship to the escape fraction of Lyman continuum radiation in galaxies at z ~ 3.
Electrophysiological characterization of remote chemical synapses.

I. The degree of electrotonic coupling between a given synapse located on a dendrite and the spike trigger zone is a major determinant of the relative influence of that synapse on neuronal firing. The degree of electrotonic coupling between a synapse and the recording site also influences the measurement of the biophysical properties of that synapse. We present theoretical justification for a practical method for determining the electrotonic coupling between any given remote synaptic input and the site of intracellular measurements. We also derive useful equations for the electrophysiological characterization of that synaptic input. The approach is independent of many of the assumptions of the equivalent cable model (39). 2. The neuron is depicted as a linear twoport electrical network, with the site of potential recording and current injection representing one port and the synaptic input the other. Derivations are presented for three parameters of the network: k12, k2], and k2. 3. k12 is the electrotonic coupling coefficient between the recording site (usually the soma) and the subsynaptic membrane. It defines the degree of steady-state voltage decay from soma to synapse. It also defines the charge transfer from synapse to soma and the steady-state current decay from synapse to soma when a voltage clamp is applied to the soma. k12 can be determined empirically by measuring the change in the reversal potential as a function of ionic manipulations in the extracellular medium. Given k12, the true synaptic equilibrium potential and
Coping with buffer delay change due to power and ground noise

Variation of power and ground levels affect VLSI circuit performance. Trends in device technology and in packaging have necessitated a revision in conventional delay models. In particular, simple scalable models are needed to predict delays in the presence of uncorrelated power and ground noise. In this paper, we analyze the effect of such noise on signal propagation through a buffer and present simple, closed-form formulas to estimate the corresponding change of delay. The model captures both positive (slowdown) and negative (speedup) delay changes. It is consistent with short-channel MOSFET behavior, including carrier velocity saturation effects. An application shows that repeater chains using buffers instead of inherently faster inverters tend to have superior supply level-induced jitter characteristics.
The analytical landscape of static and temporal dynamics in transcriptome data

Interpreting gene expression profiles often involves statistical analysis of large numbers of differentially expressed genes, isoforms, and alternative splicing events at either static or dynamic spectrums. Reduced sequencing costs have made feasible dense time-series analysis of gene expression using RNA-seq; however, statistical methods in the context of temporal RNA-seq data are poorly developed. Here we will review current methods for identifying temporal changes in gene expression using RNA-seq, which are limited to static pairwise comparisons of time points and which fail to account for temporal dependencies in gene expression patterns. We also review recently developed very few number of temporal dynamic RNA-seq specific methods. Application and development of RNA-specific temporal dynamic methods have been continuously under the development, yet, it is still in infancy. We fully cover microarray specific temporal methods and transcriptome studies in initial digital technology (e.g., SAGE) between traditional microarray and new RNA-seq.
Current Genomics in Cardiovascular Medicine

Cardiovascular disease (CVD) is a heterogeneous, complex trait that has a major impact on human morbidity and mortality. Common genetic variation may predispose to common forms of CVD in the community, and rare genetic conditions provide unique pathogenetic insights into these diseases. With the advent of the Human Genome Project and the genomic era, new tools and methodologies have revolutionised the field of genetic research in cardiovascular medicine. In this review, we describe the rationale for the current emphasis on large-scale genomic studies, elaborate on genome wide association studies and summarise the impact of genomics on clinical cardiovascular medicine and how this may eventually lead to new therapeutics and personalised medicine.
Cell-specific pattern recognition receptor signaling in antibacterial defense

Streptococcus (S.) pneumoniae is the most common cause of community-acquired pneumonia. The Nod-like receptor family pyrin domain containing 3 (NLRP3) inflammasome, consisting of NLRP3, ASC (the adaptor apoptosis-associated speck-like protein containing a CARD) and caspase-1, has been implicated in protective immunity in bacterial infections, amongst other during pneumonia induced by high doses of a moderately virulent strain of S. pneumoniae . Here we investigated the role of the NLRP3 inflammasome in the host response during airway infection with a low dose of a highly virulent gradually growing serotype 3 S. pneumoniae in a model that more closely mimics human disease. Mice were euthanized at predefined endpoints for analysis or observed in survival studies. In additional studies Tlr2 -/- /Tlr4 -/- mice and Myd88 -/- mice, incapable of Toll-like receptor signaling, were studied. Surprisingly, and in stark contrast with existing literature, both Nlrp3 -/- and Asc -/- mice showed a strongly improved host defense, as reflected by a markedly reduced mortality accompanied by diminished bacterial growth and dissemination. Lung inflammation and pathology were attenuated in Nlrp3 -/- and Asc -/- mice during the late stages of the infection. Host defense was unaltered in Tlr2 -/- /Tlr4 -/- mice and Myd88 -/- mice, although Myd88 -/- mice demonstrated attenuated lung inflammation in the presence of high pneumococcal burdens. These results show that the NLRP3 inflammasome impairs host defense during lethal pneumonia caused by highly virulent serotype 3 S. pneumoniae . Our findings in this clinically relevant model of a highly prevalent human infection challenge the current paradigm that proximal innate detection systems, including the NLRP3 inflammasome and Toll-like receptors (TLRs), are indispensable for an adequate host immune response against bacteria.
Scenario-based software architecture reengineering

The paper presents a method for reengineering software architectures. The method explicitly addresses the quality attributes of the software architecture. Assessment of quality attributes is performed primarily using scenarios. Design transformations are done to improve quality attributes that do not satisfy the requirements. Assessment and design transformation can be performed for several iterations until all requirements are met. To illustrate the method we use the reengineering of a prototypical measurement system into a domain-specific software architecture as an example.
Blending Object-Z and Timed CSP: an introduction to TCOZ

Object-Z is an extension to the Z language designed to facilitate specification in an object-oriented style. It is an excellent tool for modeling data and algorithms, but its object semantics are single threaded and operations are atomic. Therefore, it is difficult to use Object-Z to capture the behaviour of concurrent real-time reactive systems. On the other hand, Timed CSP is good at modeling real-time concurrent behaviour, but has little support for modeling the state of a complex system. This paper introduces a blending of Object-Z and Timed CSP, known as TCOZ. The blended notation is particularly suited for specifying complex systems whose components have their own thread of control.