Miracle-dz/UniFAR-FTUs huggingface dataset:
Managing Interclass Variation In Human Action Recognition

-Background: Human action recognition encompasses a scope for an automatic analysis of current events from video and has varied applications in multi-various fields. Recognizing and understanding of human actions from videos still remains a difficult downside as a result of the massive variations in human look, posture and body size inside identical category. Objective: This paper focuses on a specific issue related to inter-class variation in Human Action Recognition. To discriminate the human actions among the category, the poses of body parts are estimated and there by trailing its motion sporadically with geometric joints feature. Analysis: Example actions are listed to illustrate the similarity between the actions and steps to emulate the enhancement to discriminative the power of recognizing the similar actions. Conclusion: Experiments results have shown that the proposed approach is discriminative for similar human action recognition and well adapted to the inter-class variation.
Miniature pressure transducers with a silicon diaphragm

Readers of this journal will probably now be familiar with the many advantages of the planar technology in modern electranies. It may however come as something of a surprise to learn of an application of this technology to a purely mechanical device. This is a miniature pressure transducer, whose submil/imetre dimensions enable measurements to be made in situations previously considered to be completely inaccessible .
Phosphorylation of Polyoma and SV 40 Virus Proteins

The polypeptides of polyoma and SV4o virions are phosphorylated. An estimate of the amount of phosphorylation of the major virus capsid protein (VPI) has been made using two-dimensional gel electrophoresis to resolve phosphorylated from non-phosphorylated forms. The results suggest that in both polyoma and SV4o virions about I2 % of VPI molecules are phosphorylated. In unassembled VPI molecules immunoprecipitated from extracts of infected cells the proportion is greater, about 33 %. The possibility that phosphorylated VPI may form the penton proteins of the virus capsid is discussed.
Interplay between computable measures of entanglement and other quantum correlations

Composite quantum systems can be in generic states characterized not only by entanglement but also by more general quantum correlations. The interplay between these two signatures of nonclassicality is still not completely understood. In this work we investigate this issue, focusing on computable and observable measures of such correlations: entanglement is quantified by the negativity N, while general quantum correlations are measured by the (normalized) geometric quantum discord D{sub G}. For two-qubit systems, we find that the geometric discord reduces to the squared negativity on pure states, while the relationship D{sub G}{>=}N{sup 2} holds for arbitrary mixed states. The latter result is rigorously extended to pure, Werner, and isotropic states of two-qudit systems for arbitrary d, and numerical evidence of its validity for arbitrary states of a qubit and a qutrit is provided as well. Our results establish an interesting hierarchy, which we conjecture to be universal, between two relevant and experimentally friendly nonclassicality indicators. This ties in with the intuition that general quantum correlations should at least contain and in general exceed entanglement on mixed states of composite quantum systems.
The Contribution of Planetary Period Oscillations Toward Circulation and Mass Loss in Saturn's Magnetosphere

Magnetic reconnection is a process during which magnetic energy is released as kinetic energy. It is considered a crucial driver of energy transport and mass loss within Saturn's magnetosphere. On long‐term timescales, is thought to be predominantly driven by the rapid rotation of equatorially mass‐loaded flux tubes (i.e., the Vasyliunas cycle), but there is some non‐negligible driving from the solar wind as well (i.e., the Dungey cycle). In this study, we investigate an atmospheric driven phenomenon that modulates Saturn's magnetosphere every ∼10.6–10.8 hr, known as planetary period oscillations (PPOs), as an additional driver of magnetic reconnection at Saturn. Using an empirical model of PPO dynamics and Cassini magnetic field and plasma measurements, we find that PPO‐driven magnetic reconnection is likely to occur in Saturn's magnetosphere, however, the occurrence of the phenomenon depends on temporally variable characteristics of the PPO systems and spatial asymmetries within Saturn's equatorial magnetosphere. Thus, it is not expected to be an on‐going process. On year‐long timescales, we find that PPOs are expected to be on par with the Dungey Cycle in driving circulation within Saturn's magnetosphere. However, on ∼1–2 weeks‐long timescales, under specific conditions where PPO‐driven reconnection is expected to be active, this phenomenon can become more significant than the Vasyliunas cycle, and thus dominate circulation within Saturn's magnetosphere. On year‐long timescales, this process is estimated to remove upwards of ∼20% of the mass loaded into the magnetosphere by Enceladus.
Understanding the Performances of SMVP on Multiprocessor Platform

Sparse Matrix Vector Product (SMVP) is an important kernel in many scientific applications. In this paper we study the performances of this kernel on multiprocessor platform using four different compression format (CSR, CSC, ELL and COO). Our aim is to extract runtime environment parameters, matrix characteristics and algorithm parameters that impact performances. This work is in the context of implementing an auto-tuner system for Optimal sparse Compression Format (OCF) selection.
The impact of a new public transport system on neighbourhoods surrounding stations: The cases of Bermondsey and West Ham with the Jubilee Line extension in London

In most European cities, public transport systems not only serve traveling and commuting within the metropolis but also help the spatial and socio-economic development of cities and towns. As the largest city in Europe, London has the oldest underground service, which has been known as ‘Tube’, since 1863. There are now 11 lines covering 402km with 270 stations and serving over 4.8 million people per day in the metropolitan area. With the rising population in London, the demand for travel on the underground system never stop increasing. A new public transport network, Crossrail, which is the additional connection between West and East London will start operating in 2018. Other major cities in Europe also encounter the same increasing of demand on underground service in recent years. With the increasing demand for travel between city centre and suburban, the continuing expansion and intervention of railway infrastructure especially stations become the major impacts on shaping urban structure and economic redevelopment overtime. Stations are not only the ‘nodes’ where trains arrive and depart within the network but also the ‘places’ which allow social and spatial patterns emerging into public realms in cities (Bertolini, 1996). Stations Abstract. The impact of new public transport systems on towns and suburbs has been widely considered to be a significant aspect of urban development. However, spatial configurations which could stimulate transformation around neighbourhood of stations have not been clearly identified. It could be argued that the implementation of transport systems and the creation of new stations would enhance capacity of transport network and accessibility around vicinity of stations. Furthermore, the dynamics of pedestrian flow, generated by new public transport systems, might encourage socio-economic activities around stations. Therefore, the aims of this study are to verify the impact of urban morphology on station neighbourhoods and identify whether stations are embedded in the best location for optimising urban redevelopment. This paper analyses the surroundings of two stations – Bermondsey and West Ham – along the Jubilee Line Extension in London using Space Syntax measures. A spatial analysis with demographic and land use data reveals that the location of stations within urban layout would be the determinant in optimising socio-economic development in the neighbourhoods. It also suggests that Space Syntax could be an effective analytical methodology to understand the relationship between transport system and urban morphology.
Based Implementation Methodologies for Deep Packet Inspection

Deep Packet Inspection plays an important role for providing secure and congestion free network. It determines whether incoming traffic matches a database of signatures up to payload level, where each signature represents an attack, vulnerability, Virus, worm and even type of traffic. Other techniques like IDS/IPS etc uses only packet header information for decision making, while DPI is considers whole packet including payload for matching which provides better surveillance then other techniques. The problems that DPI system faces is low packet throughput, high memory requirement, latency and low accuracy at line speed of 10GbE/OC192.This paper reviews different software based approaches for efficient implementation of Deep Packet Inspection. A comparative study has been performed for these approaches on the basis of packet throughput and memory requirements. This paper is an attempt to exhaustively review existing techniques to addresses the probable research gaps. It then suggests a novel software based implementation of DPI to overcome the identified research gaps.
Credit Distortion, Firm Nature and Investment Efficiency

Credit is the foremost external source of funds for enterprises. The allocation rationality of credit fund directly affects corporate financing constraints and further manipulates business investment actions. Based on government intervention, the credit market in China presents certain degree of allocation distortion, which means that state-owned companies have quantity and cost advantages over non state-owned companies in respect of the acquisition of credit resources. Taking listed A share in 2008-2015 as the samples, the thesis firstly introduces the interprovincial variables of credit allocation distortion to quantify external credit allocation distortion degree faced by companies and study investment inefficiency problems in state-owned companies and non state-owned companies. As proved by the empirical results: 1) comparing with state-owned companies, non state-owned companies encounter more grievous problems in underinvestment and overinvestment; 2) the aggravation of regional credit allocation distortion degree will significantly intensify overinvestment of state-owned companies and underinvestment of non state-owned companies in local regions. It fully indicates that the imbalance of credit resource allocation will encumber corporate investment efficiency.
Single-molecule FRET analysis of DNA binding and bending by yeast HMGB protein Nhp 6 A

High-mobility group B (HMGB) proteins bind duplex DNA without sequence specificity, facilitating the formation of compact nucleoprotein structures by increasing the apparent flexibility of DNA through the introduction of DNA kinks. It has remained unclear whether HMGB binding and DNA kinking are simultaneous and whether the induced kink is rigid (static) or flexible. The detailed molecular mechanism of HMGB-induced DNA ‘softening’ is explored here by single-molecule fluorescence resonance energy transfer studies of single yeast Nhp6A (yNhp6A) proteins binding to short DNA duplexes. We show that the local effect of yNhp6A protein binding to DNA is consistent with formation of a single static kink that is short lived (lifetimes of a few seconds) under physiological buffer conditions. Within the time resolution of our experiments, this static kink occurs at the instant the protein binds to the DNA, and the DNA straightens at the instant the protein dissociates from the DNA. Our observations support a model in which HMGB proteins soften DNA through random dynamic binding and dissociation, accompanied by DNA kinking and straightening, respectively.
New insights into the impact of digital signage as a retail atmospheric tool

This paper investigates the previously little-researched role of digital signage (DS) in retail atmospherics, using an environmental psychology framework, drawing support from the Limited Capacity Model of Mediated Message Processing (LCM). DS consists of screen displays in public spaces showing video. The method consisted of a structured questionnaires quasi-experiment (n=357), comparing before and after DS installation against an unchanged control mall. Results demonstrate the effectiveness of DS, which has a positive effect on shoppers’ approach behaviours such as spending, mediated by perceptions of the retail environment and positive affect. Results are limited as the DS screens content was information-based, whereas according to LCM, people pay more attention to emotion-eliciting communications. The results have practical implications as digital signage appeals to employed shoppers. This study contributes to theory by providing a rare longitudinal environmental psychology study of the effects of an atmospheric stimulus on real shoppers in a real retail context.
Stability Analysis on Multi-Joint Robot Controlled by Delayed Feedback Control for Generation of Passive Periodic Motion *

In this paper, we analyze stability of multi-joint robots controlled by delayed feedback control. Delayed feedback control in this study is adopted so as to generate passive periodic motions, which require no actuator torque. An advantage of delayed feedback control is to work well without using exact parameter values of the multi-joint robots nor huge numerical calculations. In the stability analysis, we make clear some characteristics of delayed feedback control. One of the characteristics is that delayed feedback control will gradually reduce actuator torque. The other characteristic is that motions will converge to passive periodic motions. Some simulation results show the effectiveness of delayed feedback control. Additionally, we discuss effectiveness of the combination of delayed feedback control and stiffness adaptation, which has been proposed by the authors.
Ricci flow from spaces with isolated conical singularities

Let $(M,g_0)$ be a compact $n$-dimensional Riemannian manifold with a finite number of singular points, where the metric is asymptotic to a non-negatively curved cone over $(\mathbb{S}^{n-1},g)$. We show that there exists a smooth Ricci flow starting from such a metric with curvature decaying like C/t. The initial metric is attained in Gromov-Hausdorff distance and smoothly away from the singular points. In the case that the initial manifold has isolated singularities asymptotic to a non-negatively curved cone over $(\mathbb{S}^{n-1}/\Gamma,g)$, where $\Gamma$ acts freely and properly discontinuously, we extend the above result by showing that starting from such an initial condition there exists a smooth Ricci flow with isolated orbifold singularities.
An Iterative Hybrid Agile Methodology for Developing Archiving Systems

With the massive growth of the organizations files, the needs for archiving system become a must. A lot of time is consumed in collecting requirements from the organization to build an archiving system. Sometimes the system does not meet the organization needs. This paper proposes a domain-based requirement engineering system that efficiently and effectively develops different archiving systems based on new suggested technique that merges the two best used agile methodologies: extreme programming (XP) and SCRUM. The technique is tested on a real case study. The results shows that the time and effort consumed during analyzing and designing the archiving systems decreased significantly. The proposed methodology also reduces the system errors that may happen at the early stages of the development of the system
On improving the selection of Thellier‐type paleointensity data

The selection of paleointensity data is a challenging, but essential step for establishing data reliability. There is, however, no consensus as to how best to quantify paleointensity data and which data selection processes are most effective. To address these issues, we begin to lay the foundations for a more unified and theoretically justified approach to the selection of paleointensity data. We present a new compilation of standard definitions for paleointensity statistics to help remove ambiguities in their calculation. We also compile the largest‐to‐date data set of raw paleointensity data from historical locations and laboratory control experiments with which to test the effectiveness of commonly used sets of selection criteria. Although most currently used criteria are capable of increasing the proportion of accurate results accepted, criteria that are better at excluding inaccurate results tend to perform poorly at including accurate results and vice versa. In the extreme case, one widely used set of criteria, which is used by default in the ThellierTool software (v4.22), excludes so many accurate results that it is often statistically indistinguishable from randomly selecting data. We demonstrate that, when modified according to recent single domain paleointensity predictions, criteria sets that are no better than a random selector can produce statistically significant increases in the acceptance of accurate results and represent effective selection criteria. The use of such theoretically derived modifications places the selection of paleointensity data on a more justifiable theoretical foundation and we encourage the use of the modified criteria over their original forms.
A serpulid-Anodontia-dominated methane-seep deposit from the upper Miocene of northern Italy

A limestone deposit with an unusual fauna is reported from the late Miocene of northern Italy (Ca’ Fornace site). The petrography of the carbonate and its distinct carbon isotope signature (with δ13C values as low as -57.6‰) clearly identify this limestone as an ancient methane-seep deposit. The dominant faunal elements are serpulid tubes belonging to Protis , and extremely inflated, medium-sized shells of the lucinid bivalve Anodontia mioinflata sp. nov. Also common is the small bathymodiolin Idas aff. tauroparva , plus some large specimens of the lucinid Lucinoma , and poorly preserved, medium-sized specimens of a possible vesicomyid bivalve, an arcid bivalve, small gastropods of the genera Laeviphitus (Elachisinidae), Anatoma (Scissurellidae), as well as desmophyliid and caryophyllid scleractinian corals. This faunal assemblage is quite distinct from the typical Miocene seep faunas in northern Italy, which are dominated by large bivalves of the Lucinidae (Meganodontia), Vesicomyidae (Archivesica), and Bathymodiolinae, possibly due to a shallower depositional depth of the Ca’ Fornace site.
Correlation peak analysis applied to a sequence of images using two different filters for eye tracking model

Eye tracking has many useful applications that range from biometrics to face recognition and human-computer interaction. The analysis of the characteristics of the eyes has become one of the methods to accomplish the location of the eyes and the tracking of the point of gaze. Characteristics such as the contrast between the iris and the sclera, the shape, and distribution of colors and dark/light zones in the area are the starting point for these analyses. In this work, the focus will be on the contrast between the iris and the sclera, performing a correlation in the frequency domain. The images are acquired with an ordinary camera, which with were taken images of thirty-one volunteers. The reference image is an image of the subjects looking to a point in front of them at 0° angle. Then sequences of images are taken with the subject looking at different angles. These images are processed in MATLAB, obtaining the maximum correlation peak for each image, using two different filters. Each filter were analyzed and then one was selected, which is the filter that gives the best performance in terms of the utility of the data, which is displayed in graphs that shows the decay of the correlation peak as the eye moves progressively at different angle. This data will be used to obtain a mathematical model or function that establishes a relationship between the angle of vision (AOV) and the maximum correlation peak (MCP). This model will be tested using different input images from other subject not contained in the initial database, being able to predict angle of vision using the maximum correlation peak data.
MULTI IMAGES RETRIEVED FOR AUTOMATIC INTRUDER DETECTION USING KERNEL-BASED LEARNING ALGORITHM A thesis submitted to the Department of Electrical and Electronic Engineering

Over the course of the last few decades, security systems have undergone radical overhauls and have transitioned into such sophisticated devices that some even completely overcome any form of human interventions. In this paper we apply a recursive Kernel-based Online Anomaly Detection algorithm to propose an automated, real-time intruder detection mechanism for surveillance networks. Our proposed method is portable and adaptive, and does not require any expensive or advanced components. Real images are collected using a rotating camera over a span of space and time, along with the comparison using common methods based on Principle Component Analysis (PCA), can show that it is possible to obtain high detection accuracy with low complexity. Thus, it could also exhibit sensitivity to threshold choices, and have no natural distributed form.
Multimorbidity associated with polypharmacy and negative self-perception of health

1 Universidade de Passo Fundo, Curso Enfermagem. Passo Fundo, RS, Brasil. 2 Universidade de Passo Fundo, Programa Pós Graduação Envelhecimento Humano. Passo Fundo, RS, Brasil. 3 Instituto de Desenvolvimento Educacional do Alto Uruguai, Curso Educação Física. Getúlio Vargas, RS, Brasil. 4 Prefeitura de Coxilha, Secretaria de Saúde, Coxilha, RS, Brasil. 5 Instituto de Desenvolvimento Educacional do Alto Uruguai, Curso Enfermagem. Getúlio Vargas, RS, Brasil.
The effect of visual multimedia instructions against fake news spread: A quasi-experimental study with Nigerian students

This study examined the effect of visual multimedia instructions (guided by literacy concepts) as an intervention strategy for improving fake news knowledge, detection skills and curtailing the tendency to share fake news. We used the inoculation theory, message interpretation process (MIP) theory and cognitive theory of multimedia learning to provide a useful explanation for the interventions of literacy concept. Our study made use of 470 participants divided into two groups, comprising the control group, n = 235 and the treatment group, n = 235. After the experiment, we found that participants in the visual multimedia experimental group demonstrated a higher knowledge of fake news, better ability to detect fake news and shared more accurate news articles, compared to their counterparts who were instructed in a non-multimedia setting. We focused only on university students from one institution in Nigeria. Thus, we encourage future studies to extend beyond the student population.
Effect of Adding Regressors on the Equality of the OLSE and BLUE

), Canada ABSTRACT. We consider the estimation of regression coecients in a partitioned linear model, shortly denoted as M12 = fy; X1 1 +X2 2; Vg. We call M12 a full model, and correspondingly, M1 = fy; X1 1; Vg a small model. We introduce a necessary and sucient condition for the equality between the ordinary least squares estimator (OLSE) of 1 and the best linear unbiased estimator (BLUE) of 1 under the full model M12 assuming that they are equal under the small model M1. This condition can then be applied to generalize some results of Nurhonen and Puntanen (1992) concerning the eect of deleting an observation on the equality of OLSE and BLUE.