Miracle-dz/UniFAR-FTUs huggingface dataset:
Biophysical tools to quantify cell adhesion and migration in normal and pathological conditions

Cell migration is fundamental to normal biological processes such as development, the immune response and wound healing [1]. When cell migration is not regulated properly it can lead to pathological conditions such as cancer metastasis, immune disorders and developmental disorders. Cell adhesions form between the extracellular matrix (ECM) and the internal cellular cytoskeleton creating structures required for productive cell movement. Adhesions are tightly regulated in space and time across the moving cell. They form anchor points at the front of the cell so it can pull forward and adhesions at the rear of the cell rear that need to disassemble allowing for forward motion [1]. Our research is focused on developing quantitative biophysical tools to gain an understanding of the complex molecular mechanisms that regulate adhesion dynamics (formation, stability, disassembly), protein interactions within adhesions and the ability the cell to sense the biomechanics of its surrounding environment.
CORRELATING THE SERUM ALBUMIN CORONA OF ZINC OXIDE NANOPARTICLES WITH THEIR PHYSICO-CHEMICAL PROPERTIES

Commercially available zinc oxide nanoparticles (ZnO NPs) with different sizes (7–13 nm and < 100 nm) were selected for this study in order to analyze the interaction with serum albumin of bovine or human origin (BSA and HSA). The composition, morphology and surface of particles were characterized by transmission and scanning electron microscopy, X-ray diffraction and energy dispersive X-ray spectroscopy. Further, the hydrodynamic size and zeta potential were assessed after their dispersion in ultrapure water. The proteins were incubated with ZnO NPs for 10, 30 or 60 min at 37°C. The secondary structure of albumin that were adsorbed on the particles surface was evaluated using Fourier transform infrared spectroscopy. The supernatant with unbound proteins was used for an indirect evaluation of protein corona by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. Our study revealed that the features of nanoscale surface topographies created by ZnO NPs agglomeration in clusters can significantly influence the protein adsorption and secondary structure.
Laplacian regularizer hyperbolic tangent function low-rank subspace clustering algorithm

: The traditional low rank representation model is of low accuracy, when it is applied to high dimensional data clustering. Therefore, a kind of Laplacian regularized hyperbolic tangent function low-rank subspace clustering(LRHT-LRSC) algorithm is proposed. The LRHT-LRSC algorithm can compact approximation to the rank by using the hyperbolic tangent function instead of nuclear norm, and the accuracy of data clustering can be improved by using the Laplacian regularizer describing the instrinsic geometrical structures of the data. Then, the coeﬃcient matrix and the similarity matrix of the data samples are constructed. Finally, the ﬁnal clustering results are obtained by using the spectral clustering method. Experimental results on synthetic data sets, real data Extended Yale B and Hopkins 155 show that the proposed algorithm improves the accuracy and robustness of clustering.
Watchdog or Loyal Servant? Political Media Bias in US Newscasts

We investigate if four leading, electronic news gathering organizations in the US - ABC News, CBS News, FOX News, and NBC News - fulfill their role as the fourth estate in the US democracy. Our analysis, using the Political Coverage Index (PCI) introduced by Dewenter et al (2020), is based on the tonality of their political coverage using 815,000 human-coded news items from 2001 through 2012. For our econometric analysis, we use panel regressions with media and time fixed effects. To account for endogeneity, we cut time spans around national elections out of our data. In the remaining data, elections can be seen as a purely exogenous event. Focusing on the entire media set, we find robust empirical results for an anti-government bias in media reporting: Under Republican presidents, political coverage tends to be more liberal, whereas it tends to be more conservative if the president is a Democrat. However, when focusing on each single news organization, interesting differences emerge: For CBS News and NBC News, we find robust empirical evidence of anti-government-bias. In contrast, FOX News is always much more critical of Democrats than of Republicans. Hence, FOX News can be seen as a more loyal servant to one party rather than acting as the fourth estate. In addition, we find no evidence that ABC News significantly changes its position depending on the presidency. Although descriptive statistics show a certain tendency toward government-critical reporting by ABC News, the variation is not statistically significant.
Proactive Autonomic Management of Cloud Resources Deliverable 3.3: Machine Learning solution for Intra and Inter Autonomic Cloud Managers (ACMs) for a proactive management of cloud resources

The framework for Intra/Inter ACM for proactive cloud resources management is presented. By relying on it, cloud providers and application developers can deploy their application in a highly available fashion, with great ease, as well on a hybrid cloud infrastructure. Cloud regions can be even geographically distributed. The system is able to monitor at runtime what are the current system dynamics: if a given cloud region is overloaded, then the requests issued by remote users of the application can be redirected to different regions. The availability of the application is increased, the response time is kept below a given threshold.
Investigating the influence of ground motion duration on the dynamic deformation capacity of reinforced concrete framed structures

Recent studies have demonstrated the effect of earthquake ground motion duration on structural collapse capacity. They have also proposed methods to explicitly account for this effect of duration in structural design and assessment procedures via an adjustment to the design ground motion intensity. The objective of this study is to explore an alternative method to account for the effect of duration by adjusting the permissible peak deformations instead. This paper describes preliminary investigations into the effect of ground motion duration on the dynamic deformation capacity of ductile reinforced concrete framed structures. The dynamic deformation capacities of the structures under short and long duration ground motions are estimated by conducting incremental dynamic analysis (IDA) on realistic, deteriorating nonlinear structural models. Sets of spectrally equivalent short and long duration ground motions are employed to control for the effect of response spectral shape. Preliminary results indicate a reduction in the dynamic deformation capacity of the analysed structures under the increased cyclic demands imposed by long duration ground motions. These results will be assimilated to propose a modification to the peak deformation acceptance criteria employed by seismic design and assessment procedures to explicitly account for the effect of duration.
A Topic Collection and Context Mining System

With the rapid growth of the social Internet, the task of assisting users with the collection of data on topics of particular interest in an efficient way has become very important. Social networks generate vast streams of text data with very rich content from many different types of source. Efficient organization and summarization of the embedded semantics has also become an important issue. In order to achieve this we have proposed a topic collection and context mining summarization system, we use a topic detection module, in which terms weighting and domain knowledge leverage is employed to isolate the specific topic or event. This paper describes how the major data source is used to efficiently and effectively collect information about specific issues.
Applications of Structural Equation Modeling (SEM) in Humanities and Science Researches

This study tries to provide a plan to step from regression to a path analysis. Regression analysis sometimes provides and gives weak results using a default model. Path analysis allows you to specify a model and relationships between variables, SEM provides a method to specify a path analysis model, examine relationships between variables, and provides a comprehensive analysis of your data. In addition, SEM can measures any complex relationships, also can analysis and account more than mediating effect in many relationships. Furthermore, SEM approach that was discussed as new statistical technique for the empirical studies. Moreover, SEM still in start using from empirical researches, and the researcher wish using these new method for give fit model and good results. SEM can give results of all constructs in direct and indirect impact in model of study and results of mediating effect in any study. Additionally, if the component that is needed to be measured and evaluated is extremely hypothetical and conceptual such as social science research (perceptive measures such as satisfaction, happiness, and tiredness), SEM is highly recommended. This contrasts with multiple regressions that are designed to measure metric scales (such as price, cost, and temperature). Moreover, Confirmatory Factor Analysis CFA is employed to reduce the measurement of instrument error but SEM techniques are deployed to perform the CFA. To be clear, SEM employs a set of measures to achieve the model fit, used CFA to test convergent validity since CFA is stronger than EFA. This is supported by some previous studies such as Gerbing and Anderson (1988) who argued that CFA can supply a stricter explanation of unidimensionality than other techniques like coefficient alpha, correlation, and EFA (Exploratory Factor Analysis). Additionally, EFA is mainly an explanatory technique since no control over which variables are indicators of the latent variables. In contrary to EFA technique, CFA or measurement model in SEM provides an ability to have a complete control over specification for each construct’s indicators (McDonals & Ho, 2002). Additionally, Goodness of fit is ''the degree to which the actual or observed input matrix (Covariances or correlations) is predicted by the estimated model'' (Hair et al., 2006, p. 580). According to Bollen (1989), the χ2 likelihood ratio test, the Standardized Root Mean Residual (SRMR), the Goodness-of-Fit Index (GFI, CFI, and IFI) are the most frequently achieved measures. The following sections provide an overview of each of the achieved measures to explain the decisions obtained with regards to the models. The χ2 likelihood ratio test, which is highly important a “badness-of-fit” test, is the most identified and apparent measure correlated with CFA.
A comparison of the life history features of a temperate and a subtropical Daphnia species

Life history features of the cladocerans Daphia magna Straus and D. laevis Birge were examined in the laboratory at high and low food (Chlamydomonas reinhardi) concentrations at 150, 210, and 270C. D. laevis, the largest limnetic, pond dwelling Daphnia species in Florida, had a significantly higher intrinsic rate of population growth (rm) than did D. magna at both high and low food concentrations at 210 and 270C. This advantage is accrued to D. laevis due to its significantly earlier age at first reproduction at elevated temperatures. Neither species had a reproductive advantage at 150C since both began reproduction relatively late in life. Survivorship of D. magna, a temperate pond-dwelling species, differs little from that of D. laevis at each temperature and food concentration. The fitness advantage accrued to D. laevis at elevated temperatures and low food concentrations may be partially responsible for the absence of larger daphnid species, including D. magna, from a Florida pond that lacks vertebrate predators. These results also shed light on the nature of widespread daphnid rarefaction in both subtropical and tropical aquatic habitats.
Contact-Free Thickness Measurement of Container Glass

Optical, capacitive and tactile measuring methods are possible for inline thickness measurement. However, there is a risk of inaccurate measurements when capacitive measuring systems are used on uneven surfaces, while the use of probes in the vicinity of stampings is problematical. Optical methods avoid these problems and achieve a high degree of precision and measuring certainty. Contact-free measuring methods without moving parts, such as chromatic aberration, are unsurpassed in terms of robustness. If suitably configured, optical measuring systems are almost universally useable.
ENHANCING ATM SECURITY USING FINGERPRINT

In this modern world, all the people were used ATM machines to withdrawal and transfer cash. This research based on implementing Fingerprint mechanism in the ATM System. We were selected this area to increase save and secure for all customers to make easy to do the transaction. The fingerprint minutiae features are different for each human being. There is no worry of losing ATM card and no need to carry ATM card with you always. By comparing different technologies that are used for ATM security, it observes that fingerprint technology performs better and safer than other technologies. Which is making easy and secure transaction also maintaining user-friendly environment with user and ATM machine. This is most promising technology at electronic money transaction.
Coordinated Control of Non-holonomic Mobile Robots Based Stereovision and Laypunov Theory

-This work discusses a control strategies to solve the target tracking problem for nonholonomic mobile robots, in our experiments we have considered two robots, a leader and a follower. The follower robot tracks a target (leader) moving along an unknown trajectory. It uses only stereovision to establish its both relative position and orientation to the target, so as to maintain a specified and a given distance between the two robots. Experimental results are included and discussed to show the performances of the proposed vision-based tracking control system.
THE ECOLOGICAL DISTRIBUTION OF CHOLLA CACTUS (OPUNTIA IMBRICATA (HAW.) DC.) IN EL PASO COUNTY

The range of Opuntia imbricata (Haw.) DC. , together with data from 250 weather stations, was mapped revealing that the cactus is essentially confined to a region receiving 28 to 48 cm annual precipitation and experiencing mean January temperatures above --1'C. The distribution of the cactus was quan- titatively mapped for El Paso County, Colorado, the northernmost county of its range. Here the cactus achieves greater densities upon soils of high clay content and upon areas of sloping and concave surface and southern aspect. An analysis of published data from New Mexico reveals a greater abundance of cholla upon fine textured soils in that state as well. Individual plants are dispersed according to a Poisson distribution-at least within quadrats 4 to 100 m2 in area. Within 25 m2 quadrats the cactus asociated positively, and significantly, with Sitanion hystrix, Hilaria famesii, Muhlenbergia torreyi, and Yucca glauca. Negative associations were observed with nine species, most of which are commonly regarded as weeds or indicators of range deteriora- tion. The quadrats were objectively segregated into several groups, and the species composition of each group has been tabulated. The successional status of Opuntia imbricata has not been established, nor has its status as a pasture pest been determined.
Relationship between Managerial Overconfidence and Firm Value

This study aims to examine the relationship between managerial overconfidence and firm value. The study was conducted on manufacturing firms listed on the Indonesia Stock Exchange from 2014 to 2016, with a total of 381 firm-year observations from 136 different firms. Managerial overconfidence in this study is measured through two proxies, namely over-investment and capital expenditure, while the firm value is measured using the Tobin's Q ratio. The analytical method used is the OLS regression analysis using SPSS version 20. The results of this study indicate that managerial overconfidence, both measured through proxy investment and capital expenditure, has a positive relationship to firm value. This research shows that managerial overconfidence does not always have a negative connotation and needs to be taken into consideration in managing a firm.
Estimating short term exchange rate exposure for New Zealand firms

Using daily stock market data, we examine short term exchange rate exposure for New Zealand firms, allowing for an asymmetric response to changes in the exchange rate. Unlike previous studies, which typically use monthly data, we categorise periods of appreciation and depreciation in five bilateral exchange rates, and an index, using the underlying trends in the rates. Using this methodology, we find very few firms with significant exposure, despite many of these firms being net importers or exporters. To a large extent, the sign on the exposures are predictable, based on categorisation of firms as importers or exporters. We also examine exposure of industry-based portfolios. Many thanks to Cushla Thomson from Victoria University of Wellington and Jason Wong from First NZ Capital for unexpected assistance. Also, thanks to Robin Luo (AUT) and Martin Lally (VUW) for comments. This work is preliminary. Please do not cite without permission from the first author. Corresponding author, School of Economics and Finance, Victoria University of Wellington, P.O. Box 600, Wellington, New Zealand; email john.randal@vuw.ac. nz Department of Economics, University of Auckland
Vietnam’s Quest for Universal Primary Education and Analysis of Its Financial Structure

The enrolment ratio was 109% in gross terms and 95% in net terms by 1980. This situation where almost all children go to school has been retained to the present. However, according to statistics in 2002, the 5 grade survival ratio is 88.5%. This confirms that the country has reached the completion stage of the universalization of primary education. Difficulties in sending teachers to remote areas and the problem of instruction languages in ethnic minority group areas are related to the problems of those children who do not complete primary education. In order to improve the education quality, the government is making earnest efforts to change schools from the double-shift system to the full-day operation system. Presently, the schools in the double-shift system account for over 90% of all schools. The “socialization of education” policy means to financially support this transition.
A First Hand Survey of Frequency Domain Denoising Algorithms and Techniques

-World over, research community is facing the challenge of noise removal in multimedia viz. Images, audio, video etc. Attempts have been made, since long, to identify and remove this noise. Both, Spatial as well as Frequency domains have been thoroughly explored to devise newer and better techniques to remove these foreign bodies from the original signals. This paper is a step to carry forward the literature survey into frequency domain from the previous paper that focused on the spatial domain. It is further expected to be followed by literature survey on denoising in the Artificial Neural Network (ANN) context. The intent is to have a comprehensive survey on image denoising and use it for designing new techniques and extend existing ones to further their performance.
(2015) Utilizing gravity in movement-based games and play. In: ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI PLAY 2015), October 5-7, 2015, London. (In Press)

This paper seeks to expand the understanding of gravity as a powerful but underexplored design resource for movement-based games and play. We examine how gravity has been utilized and manipulated in digital, physical, and mixed reality games and sports, considering five central and gravity-related facets of user experience: realism, affect, challenge, movement diversity, and sociality. For each facet, we suggest new directions for expanding the field of movement-based games and play, for example through novel combinations of physical and digital elements. Our primary contribution is a structured articulation of a novel point of view for designing games and interactions for the moving body. Additionally, we point out new research directions, and our conceptual framework can be used as a design tool. We demonstrate this in 1) creating and evaluating a novel gravity-based game mechanic, and 2) analyzing an existing movement-based game and suggesting future improvements.
Numerical Simulations of Breaking Waves Based on Block-Structured Adaptive Mesh Refinement

In this study, a series of breaking-wave cases considering specific Reynolds number, Weber numbers and wave steepness etc. are under numerical investigation. For the simulation of high-density-ratio flows, a mass-momentum consistent scheme with sharp surface tension model and CLSVOF interface capturing method is developed based on a blockstructured adaptive mesh refinement software framework. The air entrainment, droplets and capillary effect etc. during the breaking process are well reproduced by present simulation. The bubble distribution and air entertainment are derived from present numerical simulations for further analysis.
Determinates of factors influencing job satisfaction and organizational loyalty

Human resources in the medical sector play a very important role in public service activities to perform tasks as prescribed by law to serve the interests of the people and society. In this way, the service of medical doctors also has a direct effect on the public services and healthcare services of Vietnam. This research analyzes factors affecting doctors’ satisfaction and loyalty from a survey of 228 doctors working in public hospitals in Vietnam. The study was conducted using both qualitative and quantitative tools to examine the hypotheses of the survey. Cronbach’s Alpha analysis, Explanatory Factor Analysis (EFA) analysis and Structural Equation Modeling (SEM) were employed to test the relationship among the fac-tors in the research model. The results indicated that the influential factors on the satisfaction of a doctor’s job include the following, listed in diminishing importance order: (1) Income, (2) Relationship with col-leagues, (3) Quality of medical examination and treatment, (4) Hospital resources, (5) Autonomy at work, (6) Training and promotion opportunities. Besides, when doctors are satisfied with their job, they tend to be loyal to the organization. The study proposes several policy implications for medical sector managers to increase the doctors’ satisfaction and loyalty in public health services.
FUSHENG YU et al: DESIGN AND MOTION ANALYSIS OF ROV ROBOT FOR CATCHING SEA CUCUMBER

In this paper we design a ROV (Remotely Operated Vehicle) sea cucumber catching robot with a layered master/slave control system. The master control system is manipulated by a human operator on board a ship. A cable connects the master to the slave control system of the robot under water, and carries the control signals from master to slave and the sensor signals from slave to master. Operators on board can observe the underwater conditions through four CCDs and control the robot’s motion to achieve the catching work. The robot is equipped with four propellers installed on the body of the robot. The motion of lifting, sinking, lateral and curve of the robot are realized by the propellers. In order to balance the weight of the robot, gasbags are installed on the eight corners of the robot. Four adjusting cylinders are adopted to balance the weight of the caught sea cucumbers. The internal assembly is equipped with grippers designed to pick sea cucumbers. The motion equations of the robot are given and the mechanics and motion trajectory of the robot are simulated. The propulsion of the propellers in different water depth is also dynamically simulated. The results of the simulation are in agreement with those of theoretical analysis.