Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification and organization of the components in the isolated microvillus cytoskeleton

We have examined the effects of ATP and deoxycholate (DOC) on the cytoskeletal organization of Triton-demembranated microvilli (MV) isolated from chicken intestine brush borders. Isolated MV are composed of a core of tightly bundled microfilaments from which arms project laterally to the plasma membrane with a 33-nm periodicity. These lateral arms spiral around the core microfilaments as a helix with a 25 degrees pitch. Demembranated MV consist of four polypeptides with mol wt of 110,000, 95,000, 68,000, and 42,000, present in molar ratios of 1.1:1.6:1.3:10.0. After addition of 50 microM ATP and 0.1 mM Mg++, the cytoskeletons are organized as a tight bundle of microfilaments from which lateral arms are missing. In these ATP-treated cytoskeletons, the 110-kdalton polypeptide is reduced in amount and the 95,000, 68,000, and 42,000 polypeptides are present in a 1.3:1.2:10.0 ratio. In contrast, after incubation with 0.5% DOC, the core microfilaments are no longer tightly bundled yet the lateral arms remain attached with a distinct 33-nm periodicity. These DOC-treated cytoskeletons are depleted of the 95,000 and 68,000 polypeptides and are composed of the 110,000 and 42,000 polypeptides in a 2:10 molar ratio. These results suggest that the microfilaments are associated into a core bundle by the 95- and 68-kdalton polypeptides and from this core bundle project the lateral arms composed of the 110-kdalton polypeptide.
An Investigation of Predictive Marital Adjustment Base of Attachment Styles in Married Women

Introduction : Current figures indicate that many of first marriages in Iran will end in separation or divorce due to many problems, one of these causes of this phenomenon is a marital adjustment. Marital adjustment denotes emotional stability, intellectual efficiency, social effectiveness people and acts as a fundamental contributor to the health and development of family members. One of the most important factors influencing marital adjustment is attachment styles. This study aimed to determine the relationship between attachment styles and marital adjustment in women. Methods: This cross-sectional study was conducted on 220 women referring to counselling centers in 2016. The participants were selected via available sampling. The data collection instruments consisted of two standardized questionnaires include Spanier’s marital adjustment (1976), and Collins and Read’s Adult Attachment Style Scale. The data were analyzed in SPSS software (version 19) using descriptive statistics and Pearson correlation coefficient, and stepwise regression analysis, regression equation. Results: The attachment styles were predictors of marital adjustment. There was a significant negative correlation between marital adjustment, anxious and avoidant attachment styles while the correlation between marital adjustment and secure attachment style was significantly positive. Conclusion: The results showed that the early relationship within the family environment supports a certain attachment style and the effects of the avoidant insecure and ambivalent insecure styles affect the interpersonal relations of the couples in adulthood. As attachment styles are contributory to marital adjustment, counselors can build on couple therapy approach to have an effective role in modifying attachment styles of the couple and solving their conflicts both before and after marriage.
Efficient Reverse Converter Designs for the New 4-Moduli Sets $\{2^{n} -1, 2^{n}, 2^{n} +1, 2^{2n + 1}-1\}$ and  $\{2^{n} -1, 2^{n} +1, 2^{2n}, 2^{2n} +1\}$ Based on New CRTs

In this paper, we introduce two new 4-moduli sets {2<sup>n</sup>-1, 2<sup>n</sup>, 2<sup>n</sup>+1, 2<sup>2n+1</sup>-1} and {2<sup>n</sup>-1, 2<sup>n</sup>+1, 2<sup>2n</sup>, 2<sup>2n</sup>+1} for developing efficient large dynamic range (DR) residue number systems (RNS). These moduli sets consist of simple and well-formed moduli which can result in efficient implementation of the reverse converter as well as internal RNS arithmetic circuits. The moduli set {2<sup>n</sup>-1, 2<sup>n</sup>, 2<sup>n</sup>+1, 2<sup>2n+1</sup>-1} has 5<i>n</i>-bit DR and it can result in a fast RNS arithmetic unit, while the 6<i>n</i>-bit DR moduli set {2<sup>n</sup>-1, 2<sup>n</sup>+1, 2<sup>2n</sup>, 2<sup>2n</sup>+1} is a conversion friendly moduli set which can lead to a high-speed and low-cost reverse converter design. Next, efficient reverse converters for the proposed moduli sets based on new Chinese remainder theorems (New CRTs) are presented. The converter for the moduli set {2<sup>n</sup>-1, 2<sup>n</sup>, 2<sup>n</sup>+1, 2<sup>2n+1</sup>-1} is derived by New CRT-II with better performance compared to the reverse converter for the latest introduced 5 <i>n</i>-bit DR moduli set {2<sup>n</sup>-1, 2<sup>n</sup>, 2<sup>n</sup>+1, 2<sup>n-1</sup>-1, 2<sup>n+1</sup>-1}. Also, New CRT-I is used to achieve a high-performance reverse converter for the moduli set {2<sup>n</sup>-1, 2<sup>n</sup>+1, 2<sup>2n</sup>, 2<sup>2n</sup>+1}. This converter has less conversion delay and lower hardware requirements than the reverse converter for a recently suggested 6<i>n</i>-bit DR moduli set {2<sup>n</sup>-1, 2<sup>n</sup>+1, 2<sup>2n</sup>-2, 2<sup>2n+1</sup>-3} .
RscS Functions Upstream of SypG To Control the syp Locus and Biofilm Formation in Vibrio fischeri

ABSTRACT Two-component signal transduction systems, composed of sensor kinase (SK) and response regulator (RR) proteins, allow bacterial cells to adapt to changes such as environmental flux or the presence of a host. RscS is an SK required for Vibrio fischeri to initiate a symbiotic partnership with the Hawaiian squid Euprymna scolopes, likely due to its role in controlling the symbiosis polysaccharide (syp) genes and thus biofilm formation. To determine which RR(s) functions downstream of RscS, we performed epistasis experiments with a library of 35 RR mutants. We found that several RRs contributed to RscS-mediated biofilm formation in V. fischeri. However, only the syp-encoded symbiosis regulator SypG was required for both biofilm phenotypes and syp transcription induced by RscS. These data support the hypothesis that RscS functions upstream of SypG to induce biofilm formation. In addition, this work also revealed a role for the syp-encoded RR SypE in biofilm formation. To our knowledge, no other study has used a large-scale epistasis approach to elucidate two-component signaling pathways. Therefore, this work both contributes to our understanding of regulatory pathways important for symbiotic colonization by V. fischeri and establishes a paradigm for evaluating two-component pathways in the genomics era.
Discovery of latent subcommunities in a blog's readership

The blogosphere has grown to be a mainstream forum of social interaction as well as a commercially attractive source of information and influence. Tools are needed to better understand how communities that adhere to individual blogs are constituted in order to facilitate new personal, socially-focused browsing paradigms, and understand how blog content is consumed, which is of interest to blog authors, big media, and search. We present a novel approach to blog subcommunity characterization by modeling individual blog readers using mixtures of an extension to the LDA family that jointly models phrases and time, Ngram Topic over Time (NTOT), and cluster with a number of similarity measures using Affinity Propagation. We experiment with two datasets: a small set of blogs whose authors provide feedback, and a set of popular, highly commented blogs, which provide indicators of algorithm scalability and interpretability without prior knowledge of a given blog. The results offer useful insight to the blog authors about their commenting community, and are observed to offer an integrated perspective on the topics of discussion and members engaged in those discussions for unfamiliar blogs. Our approach also holds promise as a component of solutions to related problems, such as online entity resolution and role discovery.
Projection-based Acquisition of a Temporal Labeller

We present a cross-lingual projection framework for temporal annotations. Automatically obtained TimeML annotations in the English portion of a parallel corpus are transferred to the German translation along a word alignment. Direct projection augmented with shallow heuristic knowledge outperforms the uninformed baseline by 6.64% F1-measure for events, and by 17.93% for time expressions. Subsequent training of statistical classifiers on the (imperfect) projected annotations significantly boosts precision by up to 31% to 83.95% and 89.52%, respectively.
Recognition and Translation on a Mobile Device

The convergence of powerful processors and high resolution cameras on mobile devices has made them an attractive platform for optical character recognition (OCR) software. Most traditional OCR applications have been designed to be highly automated and used on desktop machines. These recognition engines perform well but usually require high quality input images that are reliably obtained. In adapting recognition systems for use on mobile devices, conventional assumptions about the need for automation, available processing power, and input image quality should be re-evaluated. This paper presents a mobile text recognition and translation system that is designed with consideration for these factors. The application presented runs on the Nokia N900 smartphone and introduces human-assisted elements into the OCR pipeline to enhance accuracy. These elements include manual cropping, classification, segmentation, and thresholding. The system also employs vignetting correction and a web-based recognition service in order to address the camera and performance limitations of the N900. The completed application was deployed publicly for testing by the Maemo community under the name MIR Translator. Feedback for the system was positive overall and confirms the utility of text recognition software on mobile devices.
Short-term load forecasting for the holidays using fuzzy linear regression method

Average load forecasting errors for the holidays are much higher than those for weekdays. So far, many studies on the short-term load forecasting have been made to improve the prediction accuracy using various methods such as deterministic, stochastic, artificial neural net (ANN) and neural network-fuzzy methods. In order to reduce the load forecasting error of the 24 hourly loads for the holidays, the concept of fuzzy regression analysis is employed in the short-term load forecasting problem. According to the historical load data, the same type of holiday showed a similar trend of load profile as in previous years. The fuzzy linear regression model is made from the load data of the previous three years and the coefficients of the model are found by solving the mixed linear programming problem. The proposed algorithm shows good accuracy, and the average maximum percentage error is 3.57% in the load forecasting of the holidays for the years of 1996-1997.
THE IMPACT OF FAMILY OWNERSHIP AND FIRM SIZE ON CAPITAL STRUCTURE DECISIONS

In this paper we examine the influence of family ownership and firm size on two distinct financial leverage decisions: the probability of using debt; and, conditional on its use, the proportion of debt issued. Overall, we find a significant positive effect of family ownership on both decisions; a significant positive effect of firm size on the probability of using debt; and a significant negative effect of firm size on the (conditional on usage) proportion of debt used. We find also that the effect of family ownership differs across micro, small and medium/large firms and that the effect of firm size across size categories is uniform for non-family firms but very distinct for family firms.
Capacity of echelon, H-shaped, V-shaped and printed dipole arrays in MIMO system

This paper presents the simulated capacity results that could be achieved when echelon, H-shaped, V -shaped free standing dipoles and printed dipole arrays are used in the MIMO systems. As the configurations of interest, in this paper, have dipoles oriented in different directions, the channel model for multi-polarized antennas is used in the simulations. The polarization change at every scatterer is included using a dyad. The performances of arrays are evaluated using capacity as the metric. The mutual coupling between the dipoles of different orientations is also included to make simulation more realistic. Here we used Method of Moment (MOM) solution for the printed dipole mutual coupling impedance calculation.
PATIENT SATISFACTION ; A COMPARATIVE STUDY AT TEACHING VERSUS DHQ LEVEL HOSPITAL IN LAHORE,PAKISTAN

The present study was designed to compare patient satisfaction in teaching hospitals and at DHQ level in Lahore, Pakistan. A retrospective study was conducted based on a data collection form designed to evaluate the present level of patient satisfaction at 3 different hospitals in Lahore. Patients’ consent was taken and they were surveyed on a random basis and the results were compared on the following basis: (a) whether patients are satisfied with the treatment provided by the doctors (b) whether hospitals are adequately equipped to provide quality health services to patients (c) whether patients are satisfied with the hospital staff and with the overall environment of the hospital (d) whether patients are satisfied with the functioning of the OPD and the emergency department. Among the total patients who were surveyed it was observed that level of patient satisfaction at teaching hospitals was overall good but was less as compared to the results obtained at DHQ level. It was observed that patients are generally satisfied with the doctors and hospital care services but seem to be unaware of the role of pharmacist and pharmacy services hence the level of satisfaction on this parameter could not be monitored effectively. There is a definite scope of further improvement in patient satisfaction but an urgent intervention is needed to ensure that patients are made aware of the existence of pharmacists and their right to have access to them in order to rationalize drug treatment and therapy.
Specialized DNA Arrays for the Differentiation of Pancreatic Tumors

Purpose: Malignant tumors of the pancreas are frequently indistinguishable from inflammatory tumors arising in the context of a chronic pancreatitis with the use of conventional imaging techniques. Thus, cytologic analysis of cells obtained by abdominal ultrasound, computed tomography, or endoscopic ultrasound–guided fine needle aspiration biopsy is required for diagnosis. However, the reliability of cytologic analyses of pancreatic fine needle aspirates remains unsatisfactory, with a diagnostic accuracy of ≤80%. The purpose of the current study was therefore to develop a novel diagnostic approach based on expression profiling of biopsy material using a specialized diagnostic cDNA array. Experimental Design: Previous gene expression profiling studies were reevaluated to design a 558-feature diagnostic array. Minimal amounts of residual material from pancreatic cytology samples as well as surgically resected tumor and control tissue specimens were analyzed using the diagnostic array and a newly developed statistical classification system. Results and Conclusions: Our diagnostic approach resulted in 95% accurate differentiation between ductal adenocarcinomas and nonmalignant tumors of the pancreas. The diagnostic array, in conjunction with conventional diagnostic procedures, is thus suitable to significantly improve the reliability of pancreatic cancer diagnostics and can be expected to become a valuable new tool in the routine workup of suspect masses in the pancreas.
When Amazon Meets Google: Product Visualization by Exploring Multiple Web Sources

Product visualization is able to help users easily get knowledge about the visual appearance of a product. It is useful in many application and commercialization scenarios. However, the existing product image search on e-commerce Web sites or general search engines usually get insufficient search results or return images that are redundant and not relevant enough. In this article, we present a novel product visualization approach that automatically collects a set of diverse and relevant product images by exploring multiple Web sources. Our approach simultaneously leverages Amazon and Google image search engines, which represent domain-specific knowledge resource and general Web information collection, respectively. We propose a conditional clustering approach that is formulated as an affinity propagation problem regarding the Amazon examples as information prior. The ranking information of Google image search results is also explored. In this way, a set of exemplars can be found from the Google search results and they are provided together with the Amazon example images for product visualization. Experiments demonstrate the feasibility and effectiveness of our approach.
A Methodology to Design Human-Like Embodied Conversational Agents

This paper presents a bottom-up methodology to study human-human and human-agent dialogues in order to improve the design of embodied conversational agents (ECAs). The methodology uses a matrix representation of dialogues, constructed by means of a (semi-)automatic annotation process. A multidimensional dialogue pattern extraction and a clustering algorithm are applied to the coding matrices. The extracted patterns model the human behaviours.
Mining tag semantics for social tag recommendation

Nowadays lots of information are stored as Web pages for ease of sharing and searching. It is rather impractical for users to browse such gigantic amount of Web pages to obtain target information. Therefore, users often count on search engines to retrieve information they needed. Most of the search engines rely on the contents of Web pages, which are often represented by sets of keywords, to decide their relatedness to a user's query. However, such scheme is often imprecise since there is always a semantic gap between the actual semantics of a Web page and its representation. Manual annotations by human beings will certainly help since such annotations should always reflect the true meaning of the Web pages. However, ordinary annotators may not annotate a Web page with appropriate tags and thus deteriorate the quality of tags as well as the retrieval result. In this work, we propose a novel scheme for recommending tags while a user intends to annotate a Web page. Our scheme first discover the relationships across Web pages and tags based their clustering result. We then recommend tags to users according to such relationships. We tested our work on RSDC 2008 dataset and obtained promising result.
A region in the dystrophin gene major hot spot harbors a cluster of deletion breakpoints and generates double‐strand breaks in yeast

Deletions within the dystrophin gene (DMD) account for >70% of mutations leading to Duchenne and Becker muscular dystrophies (DMD and BMD). Deletion breakpoints were reported to be scattered within regions that also represent meiotic recombination hot spots. Recent studies indicates that deletion junctions arise from nonhomologous end joining (NHEJ), a major pathway for repairing DNA double‐strand breaks (DSBs) in mammals. Here we show that a region in intron 47 (i.e., a major deletion hot spot in the DMD gene) generates DSBs during meiosis in yeast and harbors a cluster of previously sequenced deletion breaks. Mapping of breakpoints in 26 BMD/DMD patients indicated that the frequency of breakpoint occurrence around this region is 3‐fold higher than expected by chance. These findings suggest that DSBs mediate deletion formation in intron 47 and possibly account for the high frequency of meiotic recombination in the region. Statistical analysis indicated the presence of at least one other breakpoint cluster in intron 47. Taken together, these results suggest that the primary events in deletion formation occur within discrete regions and that the scattered breakpoint distribution reflects both a variable degree of DSB end processing and the availability of a small (compared to the huge regions involved) deletion junction sample. —Sironi, M. , Pozzoli, U. , Comi, G. P., Riva, S. , Bordoni, A. , Bresolin, N. , Nag, D. K. A region in the dystrophin gene major hot spot harbors a cluster of deletion breakpoints and generates double‐strand breaks in yeast. FASEB J. 20, E1287–E1295 (2006)
Reconfigurable Dynamic Trusted Platform Module for Control Flow Checking

Trusted Platform Module (TPM) has gained its popularity in computing systems as a hardware security approach. TPM provides the boot time security by verifying the platform integrity including hardware and software. However, once the software is loaded, TPM can no longer protect the software execution. In this work, we propose a dynamic TPM design, which performs control flow checking to protect the program from runtime attacks. The control flow checker is integrated at the commit stage of the processor pipeline. The control flow of program is verified to defend the attacks such as stack smashing using buffer overflow and code reuse. We implement the proposed dynamic TPM design in FPGA to achieve high performance, low cost and flexibility for easy functionality upgrade based on FPGA. In our design, neither the source code nor the Instruction Set Architecture (ISA) needs to be changed. The benchmark simulations demonstrate less than 1% of performance penalty on the processor, and an effective software protection from the attacks.
The Semantic Middleware for Networked Embedded Systems Applied in the Internet of Things and Services Domain

The paper presents the LinkSmart middleware platform that addresses the Internet of Things and Services approach. The platform was designed to support the interoperability and seamless integration of various external devices, sensors, and services into the mainstream enterprise systems. The design and development of LinkSmart goes across two integrated European research projects, namely the FP6 IST project Hydra and the FP7 ICT project EBBITS. Modular architecture and functionality of LinkSmart prototype, developed by combining the service-oriented architecture, peer-to-peer networking, and semantic web services technologies, is described with focus on semantic binding of networked devices by means of underlying ontologies and knowledge-based inference mechanisms. Extensions of the solution towards the service orchestration, complex event handling, business process modelling and workflow processing are discussed and described on a mechanism of context-aware processing of sensor data.
Inferring geography from BGP raw data

Research to date has analyzed the Internet AS-level topology at a worldwide level of detail. Every inference found for an AS is extrapolated from the global set of AS paths gathered from public monitors, independently of the geographic location of the ASes. This approach is useful when the Internet is analyzed at a very coarse level. However, it may be misleading if the analysis is more focused on a specific geographical region. The risk is that the particular characteristics that the Internet has in that region may be lost. An AS connection that has been identified in a global analysis may hide multiple connections located in different geographic regions, each with its own characteristics. Moreover, a couple of ASes may establish different economic relationships in each geographic region where they are connected. In this paper we propose an innovative technique to geolocate the AS connections retrieved from BGP raw data, in order to highlight the Internet regional characteristics. The analyses that we performed revealed some regional characteristics, in terms of graph properties and inter-AS economic relationships, that should be taken into account in a future analysis of the Internet.