Miracle-dz/UniFAR-FTUs huggingface dataset:
c-Src Is Required for Stimulation of Gelsolin-associated Phosphatidylinositol 3-Kinase*

We have shown that osteopontin binding to integrin αvβ3 in osteoclasts stimulates gelsolin-associated phosphatidylinositol (PtdIns) 3-hydroxyl kinase (PI 3-kinase), leading to increased levels of gelsolin-bound PtdIns 3,4-P2, PtdIns 4,5-P2, and PtdIns 3,4,5-P3, uncapping of barbed end actin, and actin filament formation. Inhibition of PI 3-kinase activity by wortmannin blocks osteopontin stimulation of actin filament formation, suggesting that activation of gelsolin-associated PI 3-kinase is an important pathway in cytoskeletal regulation. To study the mechanism of gelsolin-associated PI 3-kinase activation, we analyzed anti-gelsolin immunoprecipitates for the association of protein kinases. We demonstrated that c-Src co-immunoprecipitates with gelsolin, and that osteopontin stimulates its activity. Elimination of osteopontin-stimulated Src activity associated with gelsolin through antisense oligodeoxynucleotides blocked the stimulation of PI 3-kinase activity associated with gelsolin and the gelsolin-dependent cytoskeletal reorganization induced by osteopontin, including increased F-actin levels. In addition, treatment of osteoclasts with antisense oligonucleotides to Src reduced bone resorption. Our results demonstrate that osteopontin stimulates gelsolin-associated Src, leading to increased gelsolin-associated PI 3-kinase activity and PtdIns 3,4,5-P3 levels, which facilitate actin filament formation, osteoclast motility, and bone resorption.
Reducing Mutation Testing Endeavor using the Similar Conditions for the same Mutation Operators Occurs at Different Locations

Mutation testing is a software testing technique that ameliorates the quality and re liability of critical software. This paper presents a mutation testing technique based on the concept of the same mutation operator under similar conditions occuring at different locations in the program. In the proposed technique, we assemble the tantamount behaviour of mutants under a group and a single mutant is selected from the group for performing mutation testing. The benefits of the proposed approach are a reduction in time, cost and effort.
Poly[[bis(μ2-4,4′-bipyridine)[μ2-(2,4-dichlorophenoxy)acetato]copper(I)] nitrate]

The title compound, {[Cu2(C8H5Cl2O3)(C10H8N2)2]NO3}n was prepared by reacting copper(II) nitrate with 4,4′-bipyridine (4,4′-bipy) and (2,4-dichlorophenoxy)acetic acid under solvothermal conditions. Each of two copper(I) atoms in the asymmetric unit is three-coordinated by two N atoms from two 4,4′-bipy ligands and one O atom from the (2,4-dichlorophenoxy)acetate ligand. As both ligands act as bridging ligands, a double-stranded chain structure is observed.
A simple method to measure the twist elastic constant of a nematic liquid crystal

We demonstrate a simple method for measuring the twist elastic constant (K22) of a nematic liquid crystal (LC). By adding some chiral dopant to an LC host, the LC directors rotate 180° in a homogeneous cell, which is known as 180° super-twisted nematic (STN) cell. By preparing two such STN cells with different chiral concentrations and measuring their Fréedericksz threshold voltages, we can obtain the K22 and helical twisting power simultaneously. In the whole process, there is no need to measure the pitch length. Our obtained K22 values agree well with those reported by using other methods.
DVB-NGH: The Next Generation of Digital Broadcast Services to Handheld Devices

This paper reviews the main technical solutions adopted by the next-generation mobile broadcasting standard DVB-NGH, the handheld evolution of the second-generation digital terrestrial TV standard DVB-T2. The main new technical elements introduced with respect to DVB-T2 are: layered video coding with multiple physical layer pipes, time-frequency slicing, full support of an IP transport layer with a dedicated protocol stack, header compression mechanisms for both IP and MPEG-2 TS packets, new low-density parity check coding rates for the data path (down to 1/5), nonuniform constellations for 64 Quadrature Amplitude Modulation (QAM) and 256QAM, 4-D rotated constellations for Quadrature Phase Shift Keying (QPSK), improved time interleaving in terms of zapping time, end-to-end latency and memory consumption, improved physical layer signaling in terms of robustness, capacity and overhead, a novel distributed multiple input-single output transmit diversity scheme for single-frequency networks (SFNs), and efficient provisioning of local content in SFNs. All these technological solutions, together with the high performance of DVB-T2, make DVB-NGH a real next-generation mobile multimedia broadcasting technology. In fact, DVB-NGH can be regarded the first third-generation broadcasting system because it allows for the possibility of using multiple input-multiple output antenna schemes to overcome the Shannon limit of single antenna wireless communications. Furthermore, DVB-NGH also allows the deployment of an optional satellite component forming a hybrid terrestrial-satellite network topology to improve the coverage in rural areas where the installation of terrestrial networks could be uneconomical.
Exploring the self similar properties for monitoring of air quality information

Air quality information has assumed much importance over the years due to the increase in air pollution. One major hindrance in monitoring of air pollutants is the dearth of spatial availability of aerosol concentration measurements due to the cost involved in deployment of sensors. In this respect, self similarity analysis of data can be very useful. This work is based on standard grid based pollutant dispersion models in a simulated environment over different scales of grid size. The fractal dimension is considered as a scale invariant metric which gives an idea about the variation in pollutant concentration across different scales. A method is detailed for measuring the fractal dimension properties. Results indicate that it is possible to apply the dispersion models across different scales and also the air quality monitored in one region can be compared with other regions.
20 Controller Synthesis for Periodically Forced Chaotic Systems

Delayed feedback controllers are an appealing tool for stabilization of periodic orbits in chaotic systems. Despite their conceptual simplicity, specific and reliable design procedures are difficult to obtain, partly also because of their inherent infinite-dimensional structure. This chapter considers the use of finite dimensional linear time invariant controllers for stabilization of periodic solutions in a general class of sinusoidally forced nonlinear systems. For such controllers — which can be interpreted as rational approximations of the delayed ones — we provide a computationally attractive synthesis technique based on Linear Matrix Inequalities (LMIs), by mixing results concerning absolute stability of nonlinear systems and robustness of uncertain linear systems. The resulting controllers prove to be effective for chaos suppression in electronic circuits and systems, as shown by two different application examples.
Genetic Structure of a Recolonizing Population of Fishers (Martes pennanti)

We present the results of 769 fisher genotypes (Martes pennanti) studied across 35 landscapes in and around Ontario, Canada. Fishers were extirpated from much of southern Ontario prior to the 1950s. The recent recolonization of southern Ontario has been highly successful. We hypothesised that this recent expansion and recolonization originated from Algonquin Provincial Park, an area that has historically served as a refuge for fishers. To test this hypothesis, a sampling landscape lattice was created to encompass Algonquin and the surrounding study area. DNA samples were collected mostly from the 2001-2002 fur harvest to examine the spatial dynamics of fishers at a single point in time. Twenty to thirty fishers from each of the 35 landscapes in the lattice were genotyped at 16 microsatellite loci. Using a Bayesian assignment approach, with no a priori geographic information, we identified five discrete inferred genetic populations, and used genetic population assignment as a means to cluster landscapes together. The degree of genetic differentiation between these landscape clusters varied (FST = 0.019 to 0.14). This was likely a result of the difference in historical expansion and recent differentiation among breeding groups. Each of the five genetic clusters contained high levels of genetic diversity (HE = 0.590-0.682 ) and had no trace of recent bottlenecks. A regression analysis of geographic distance and FST values identified a positive relationship when excluding landscapes from the Adirondack cluster (F(1,463) = 84.27; R = 0.154; p<0.001), and a positive relationship between landscapes in the Adirondack cluster and all other landscapes (F(1,122)Adirondack = 14.93; R = 0.109; p < 0.001). More
Semantic Annotation of Web Services with Lexicon-Based Alignment

As the number of available web services published in registries and on web sites increases, web service discovery becomes a challenging task. One solution to the problem is to use distributed web service search system composed of domain specific sub service discoverers. Using ontology is the most common practice to specify domain knowledge. However, an important problem at this point is the lack of semantic annotation for currently available web services. For this reason, there is a strong need for a mechanism for semantic annotation of unannotated services. In this work, we propose a web service semantic annotation method that uses lexicon-based alignment. Lexicon-based alignment considers the different senses of the words, and hence it can find the association between the service and the ontology more accurately than previous alignment techniques.
Discovering Stylistic Variations in Distributional Vector Space Models via Lexical Paraphrases

Detecting and analyzing stylistic variation in language is relevant to diverse Natural Language Processing applications. In this work, we investigate whether salient dimensions of style variations are embedded in standard distributional vector spaces of word meaning. We hypothesizes that distances between embeddings of lexical paraphrases can help isolate style from meaning variations and help identify latent style dimensions. We conduct a qualitative analysis of latent style dimensions, and show the effectiveness of identified style subspaces on a lexical formality prediction task.
Alterations in the Lipid Metabolism of Rat Aorta: Effects of Vitamin A Deficiency

Antioxidants are known to reduce cardiovascular disease by reducing the concentration of free radicals in the vessel wall and by preventing the oxidative modification of low-density lipoproteins. The prooxidative effect of a vitamin-A-deficient diet on the aorta has previously been demonstrated by us. In this study, the lipid metabolism in the aorta of rats fed on a vitamin-A-deficient diet was evaluated. Vitamin A deficiency induced a hypolipidemic effect (lower serum triglyceride and cholesterol levels) and a decreased serum paraoxonase 1/arylesterase activity. The concentrations of triglycerides, total cholesterol, free and esterified cholesterol, and phospholipids were increased in the aorta of vitamin-A-deficient rats. The phospholipid compositions showed an increase in phosphatidylcholine (PC), phosphatidylinositol plus phosphatidylserine and phosphatidylethanolamine, a decrease in sphingomyelin, and no change in phosphatidylglycerol. In the aorta, the increase in triglycerides was associated with an increased fatty acid synthesis and mRNA expression of diacylglycerol acyltransferase 1. The increased PC content was attributed to an increased synthesis, as measured by [methyl-14C]choline incorporation into PC and high CTP:phosphocholine cytidylyltransferase-α mRNA expression. The cholesterol synthesis, evaluated by [1-14C]acetate incorporated into cholesterol and mRNA expression of 3-hydroxy-3-methylglutaryl coenzyme A reductase, did not change. The lipoprotein lipase and lectin-like oxidized low-density lipoprotein receptor 1 mRNA expression levels increased in the aorta of vitamin-A-deficient animals. The incorporation of vitamin A into the diet of vitamin-A-deficient rats reverted all the changes observed. These results indicate that a vitamin-A-deficient diet,in addition to having a prooxidative effect, alters the aorta lipid metabolism.
Metan: Fixed- and Random-Effects Meta-Analysis

This article describes updates of the meta-analysis command metan and options that have been added since the command's original publication (Bradburn, Deeks, and Altman, metan – an alternative meta-analysis command, Stata Technical Bulletin Reprints, vol. 8, pp. 86–100). These include version 9 graphics with flexible display options, the ability to meta-analyze precalculated effect estimates, and the ability to analyze subgroups by using the by() option. Changes to the output, saved variables, and saved results are also described.
Simultaneous Determination of Amlodipine and Atorvastatin in Caduet® Tablets Using HPLC

A simple, selective, sensitive and precise, simultaneous high performance liquid chromatographic analysis of tablets containing amlodipine and atorvastatin was described. Good chromatographic separation was achieved using a Perfectsilr Target ODS-3 (4.6 cm × 250 mm, 5 µm) and a mobile phase consisting of acetonitrile-phosphate buffer pH 4.5 (55:45, v/v) at a flow rate 1ML min-1. The ultraviolet detector was set at wavelength 237 nm. Amlodipine and atorvastatin were measured at 1.071 and 3.765 min, respectively. The linear ranges for amlodipine and atorvastatin were 1-10 and 5-50 µg mL-1, respectively. The recoveries of amlodipine and atorvastatin in pharmaceutical preparation were all greater than 98.5% and their relative standard deviations were less than 2.0%. The limits of detection were 0.19 and 1.25 µg mL-1 for amlodipine and atorvastatin, respectively.
The septin-associated kinase Gin4 recruits Gps1 to the site of cell division

Gps1 is a regulator of Rho GTPases during cell division. Cell cycle–regulated recruitment of Gps1 to the cell division site is under control of the conserved kinase Gin4 and the bud neck–associated protein Nba1. This biphasic recruitment is required for the spatiotemporal activation of Rho1 and inhibition of Cdc42.
A Method of Adjusting the Number of Replica Dynamically in HDFS

With the development of Cloud Computing, Hadoop –an Infrastructure as a Service open source project of Apache – has been used more and more widely. As the basis of Hadoop, the Hadoop Distributed File System (HDFS) provides basic function of file storage. HDFS-an open source implementation of Google File System (GFS) –was designed for specific demand. Once the demand was changed, HDFS cannot fit it very well. Especially when the access demand of file is different, there will be hot spots and the existing replica will not be enough. It will lower the efficiency of the whole system. This paper introduced a systemlevel strategy which could adjust the replica number of specific file dynamically. And the experiment shows that this mechanism can prevent the problem of decline of user experience bring by hot spots and improve the overall efficiency.
WTM: A Traffic Monitoring Framework for Web Service Transactions

in this paper an integrated approach that enables the management of Web service transactions. Compared to the existing Web management solutions, it targets to efficiently manage multi-tier Web transactions. It has one unique feature: While the monitoring of Web traffic is done at multiple levels: network, transport, application, and transaction layers, traffic associated with a multi-tier transaction can be correlated non- intrusively such that breakdown analysis can be realized from either service consumer or provider's perspective. A combination of sampling-based packet monitoring and packet probing is used to collect measurement data. A causal sampling protocol is designed to synchronize and correlate the capturing of the traffic associated with multi-tier Web transactions.
Computational Social Science Fusion Analytics: Combining Machine-Based Methods with Explanatory Empiricism

This article discusses the emergence of a computational social science analytics fusion as a mainstream scientific approach involving machine-based methods and explanatory empiricism as a basis for the discovery of new policyrelated insights for business, consumer and social settings. It reflects the interdisciplinary background of the new approaches that the Hawaii International Conference on Systems Science has embraced over the years, and especially some of the recent development and shifts in the scientific study of technology-related phenomena. It also has evoked new forms of research inquiry, blended approaches to research methodology, and more pointed interest in the production of research results that have direct application in various industry contexts. We review background knowledge to showcase the methods shifts, and demonstrate the new forms of research, by showcasing contemporary applications that will be interesting to the audience on the occasion of the HICSS 50 anniversary.
A study to assess the feasibility of Text Messaging Service in delivering maternal and child healthcare messages in a rural area of Tamil Nadu, India.

BACKGROUND Mobile text messaging is a potentially powerful tool for behaviour change because it is widely available, inexpensive, and instant. AIMS To evaluate whether mobile Text Messaging Service is a feasible mode of raising knowledge regarding maternal and child health (MCH) and to explore issues related to mobile text messages as a mode of health education. METHOD A community-based intervention study was conducted from January to June 2013 in six randomly selected villages of Vellore district, Tamil Nadu. A multi-stage sampling technique was followed: 120 individuals from 120 households (30 clusters in six villages) were contacted. Data was collected using a pretested questionnaire by house-to-house visits in three phases: 1) baseline assessment of aptitude towards text messages; 2) intervention: sending MCH-related text messages; and 3) end-line assessment to evaluate the increase in knowledge level. Qualitative data regarding mobile text messages as a mode of health education was explored. Quantitative data was analysed using SPSS version 17.0 and qualitative data by Anthropac software. RESULTS Of the individuals surveyed, 69.17 per cent and 52.5 per cent were "able to read" and "type and send" text messages, respectively. Seventy per cent of individuals were willing to receive health information via text messages, and 98.33 per cent believed text messages could effectively spread health messages. A significant increase in knowledge was observed following text messages. Male gender and subjects' ability to read text messages were significantly associated. Factors related to mobile phone use include minimum economic burden, easy availability, portability, and ease of use. Factors related to mobile text messages as a mode of health message delivery include direct receipt of information, mass reach, the absence of regional language font in many handsets, and illiterate individuals being unable to read messages. CONCLUSION In rural areas, mobile text messages have the potential to deliver health messages regarding MCH.
A framework for eliciting value proposition from stakeholders

Eliciting the value proposition in Value Based Software Engineering (VBSE) is critical. Everything within VBSE is dependent on the value propositions of success critical stakeholder (SCSs). This paper present presents a novel approach for elicitation of value from the SCSs from different dimensions. We propose a Value Elicitation Framework (VEF) in order to resolve the problem of selection and application of appropriated value elicitation technique for a given situation. We applied the VEF on a small commercial project to demonstrate the execution of VEF in practice and evaluate its effectiveness. Results show that decision makers felt more confident in decision making while using VEF as decisions are taken on basis of actual value rather than mere guess. We also found that SCSs were mainly using Business, Economic and Technical Values in making decisions.
Hermite Functional Link Neural Network for Solving the Van der Pol–Duffing Oscillator Equation

Hermite polynomial-based functional link artificial neural network (FLANN) is proposed here to solve the Van der Pol–Duffing oscillator equation. A single-layer hermite neural network (HeNN) model is used, where a hidden layer is replaced by expansion block of input pattern using Hermite orthogonal polynomials. A feedforward neural network model with the unsupervised error backpropagation principle is used for modifying the network parameters and minimizing the computed error function. The Van der Pol–Duffing and Duffing oscillator equations may not be solved exactly. Here, approximate solutions of these types of equations have been obtained by applying the HeNN model for the first time. Three mathematical example problems and two real-life application problems of Van der Pol–Duffing oscillator equation, extracting the features of early mechanical failure signal and weak signal detection problems, are solved using the proposed HeNN method. HeNN approximate solutions have been compared with results obtained by the well known Runge-Kutta method. Computed results are depicted in term of graphs. After training the HeNN model, we may use it as a black box to get numerical results at any arbitrary point in the domain. Thus, the proposed HeNN method is efficient. The results reveal that this method is reliable and can be applied to other nonlinear problems too.
A Critical Analysis on the Security Concerns of Internet of Things (IoT)

Internet of Things (IoT) has been a major research topic for almost a decade now, where physical objects would be interconnected as a result of convergence of various existing technologies. IoT is rapidly developing; however there are uncertainties about its se- curity and privacy which could affect its sustainable development. This paper analyzes the security issues and challenges and provides a well defined security architecture as a confidentiality of the user's privacy and security which could result in its wider adoption by masses.
A thioacetamide-induced hepatic encephalopathy model in C57BL/6 mice: a behavioral and neurochemical study.

OBJECTIVE Hepatic encephalopathy (HE) is a neuropsychiatric syndrome resulting from liver failure. In the present study, we aimed to standardize an animal model of HE induced by thioacetamide (TAA) in C57BL/6 mice evaluating behavioral symptoms in association with liver damage and alterations in neurotransmitter release. METHOD HE was induced by an intraperitoneal single dose of TAA (200 mg/kg, 600 mg/kg or 1,200 mg/kg). Behavioral symptoms were evaluated using the SHIRPA battery. Liver damage was confirmed by histopathological analysis. The glutamate release was measured using fluorimetric assay. RESULTS The neuropsychiatric state, motor behavior and reflex and sensory functions were significantly altered in the group receiving 600 mg/kg of TAA. Biochemical analysis revealed an increase in the glutamate release in the cerebral cortex of HE mice. CONCLUSION HE induced by 600 mg/kg TAA injection in C57BL/6 mice seems to be a suitable model to investigate the pathogenesis and clinical disorders of HE.