Miracle-dz/UniFAR-FTUs huggingface dataset:
Nest-building performance in rats: impact of vendor, experience, and sex

Nest building behavior has been intensely applied as a parameter for severity assessment in mice. In contrast, only a limited number of studies have reported nest building data from rats. Here, we assessed nest building in rats in two different facilities addressing the hypotheses that the vendor, previous experience with the nesting material as well as sex of the rats has an impact on the performance. Data from two study sites and three raters were compared to obtain information about the robustness of nest complexity scoring. The findings demonstrate a generally poor nest building performance in rats with a pronounced day-to-day fluctuation, and site-specific differences. Application of a newly developed scoring system resulted in an intermediate inter-rater reliability. Previous experience with the nesting material did not exert a consistent impact on nest complexity scores. Sex differences proved to depend on vendor and animal facility without consistent findings supporting a superior performance in female or male rats. In conclusion, our findings argue against a robust and consistent influence of sex and familiarity with the nesting material. The comparison between facilities suggests that local conditions need to be considered as influencing factors, which should be explored in more detail by future multicenter approaches. Considering the day-to-day fluctuation and the intermediate inter-rater reliability, we highly recommend to base nest complexity evaluation on means from several subsequent days analyzed by a group of experienced raters.
Effects of Social Interaction Mechanics in Pervasive Games on the Physical Activity Levels of Older Adults: Quasi-Experimental Study

Background The novel genre of pervasive games, which aim to create more fun and engaging experiences by promoting deeper immersion, could be a powerful strategy to stimulate physical activity among older adults. To use these games more effectively, it is necessary to understand how different design elements affect player behavior. Objective The aim was to vary a specific design element of pervasive games for older adults, namely social interaction, to test the effect on levels of physical activity. Methods Over 4 weeks, two variations of the same pervasive game were compared: social interaction for the test group and no social interaction for the control group. In both versions, players had to walk to physical locations and collect virtual cards, but the social interaction version allowed people to collaborate to obtain more cards. Weekly step counts were used to evaluate the effect on each group, and the number of places visited was used as an indicator of play activity. Results A total of 32 participants were recruited (no social interaction=15, social interaction=17); 18 remained until the end of the study (no social interaction=7, social interaction=11). Step counts during the first week were used as the baseline (no social interaction: mean 17,099.4, SE 3906.5; social interaction: mean 17,981.9, SE 2171.1). For the following weeks, changes to individual baseline were as follows for no social interaction (absolute/proportional): 383.8 (SE 563.8)/1.1% (SE 4.3%), 435.9 (SE 574.5)/2.2% (SE 4.6%), and −106.1 (SE 979.9)/−2.6% (SE 8.1%) for weeks 2, 3, and 4, respectively. For social interaction they were 3841.9 (SE 1425.4)/21.7% (SE 5.1%), 2270.6 (SE 947.1)/16.5% (SE 4.4%), and 2443.4 (SE 982.6)/17.9% (SE 4.7%) for weeks 2, 3, and 4, respectively. Analysis of group effect was significant (absolute change: η2=.19, P=.01; proportional change: η2=.27, P=.009). Correlation between the proportional change and the play activity was significant (r=.34, 95% CI 0.08 to 0.56), whereas for absolute change it was not. Conclusions Social interaction design elements of the pervasive game may have some positive effects on the promotion of physical activity, although other factors might also have influenced this effect. Trial Registration Japan Medical Association Clinical Trial Registration Number JMA-IIA00314; https://dbcentre3.jmacct. med.or. jp/JMACTR/App/JMACTRS06/JMACTRS06.aspx? seqno=7274 (Archived by WebCite at http://www.webcitation.org/761a6MVAy)
Types of Exposure Pesticide Poisoning in Jiangsu Province, China; The Epidemiologic Trend between 2006 and 2018

Background: Pesticide poisoning is an important issue in rural China, and is also a major public health problem that affects the health of farmers. The purpose of this paper is to explore the epidemiology of pesticide poisoning in Jiangsu Province, and to put forward the relevant suggestions on the logical and discerning utilization of the pesticides. Methods: According to the data of the pesticide poisoning report card established by the health hazard detection information system, the cases of pesticide poisoning in Jiangsu Province from 2006 to 2018 were exported to Excel, and the database of pesticide poisoning was established. Furthermore, the imported data was screened and collected. A descriptive statistical analysis had been employed on this data utilizing SPSS 20.0. Results: Between the years 2006 and 2018, 38,513 pesticide poisoning cases were registered in Jiangsu Province, with a downward trend. Meanwhile, 77.83% of poisoning cases involved insecticide poisoning, followed by herbicide and rodenticide. The greater part of the diverse sorts of studied insecticide poisoning cases involved people aged between 30 and 59 years (57.51%). Poisoning cases caused by rodenticide accounted for a large proportion of people aged between 0 and 14 years (23.72%) in non-occupational pesticide poisoning. Regarding seasons, it was distinguished that more insecticide cases were reported in autumn (46.95% of the total number of cases). Pesticide poisoning was reported in 13 cities of Jiangsu Province, and among these, insecticide poisoning was reported mainly from the northern Jiangsu area, which was the same as rodenticide and herbicide. Conclusions: Although there is a decreased risk for pesticide poisoning among farmworkers in Jiangsu Province, the number of farmworkers with pesticide poisoning is still high. Further management of the pesticide utilization is necessary, especially insecticide. More attention ought to be paid to the protection of vulnerable groups, including children and the elderly.
A Dynamically Adaptable Image Processing Application Trading Off Between High Performance, Consumption and Dependability in Real Time

As embedded systems evolve, problems inherent to technology become important limitations. In less than ten years, chips will exceed the maximum allowed power consumption affecting performance, since, even though the resources available per chip are increasing, frequency of operation has stalled. Besides, as the level of integration is increased, it is difficult to keep defect density under control, so new fault tolerant techniques are required. In this demo work, a new dynamically adaptable virtual architecture (ARTICo3) to allow dynamic and context-aware use of resources is implemented in a high performance Wireless Sensor node (HiReCookie) to perform an image processing application.
A Resource Allocation Mechanism Based on Weighted Efficiency Interference-Aware for D2D Underlaid Communication

Device-to-device (D2D) communication is a promising technique for direct communication to enhance the performance of cellular networks. In order to improve the system throughput and utilization of spectrum resource, a resource allocation mechanism for D2D underlaid communication is proposed in this paper where D2D pairs reuse the resource blocks (RBs) of cellular uplink users, adopting a matching matrix to disclose the results of resource allocation. Details of the proposed resource allocation mechanism focused are listed as: the transmit power of D2D pairs are determined by themselves with the distributed power control method, and D2D pairs are assigned to different clusters that are the intended user sets of RBs, according to the threshold of the signal-to-interference-plus-noise ratio (SINR). The weighted efficiency interference-aware (WE-I-A) algorithm is proposed and applied subsequently to promote the system throughput by optimizing the matching of D2D pairs and RBs, where each D2D pair is weighted based on the SINR to compete for the priority of RBs fairly. Simulation results demonstrate that the proposed algorithm contributes to a good performance on the system throughput even if the uplink state is limited.
Inactivation methods for whole influenza vaccine production

Despite tremendous efforts toward vaccination, influenza remains an ongoing global threat. The induction of strain‐specific neutralizing antibody responses is a common phenomenon during vaccination with the current inactivated influenza vaccines, so the protective effect of these vaccines is mostly strain‐specific. There is an essential need for the development of next‐generation vaccines, with a broad range of immunogenicity against antigenically drifted or shifted influenza viruses. Here, we evaluate the potential of whole inactivated vaccines, based on chemical and physical methods, as well as new approaches to generate cross‐protective immune responses. We also consider the mechanisms by which some of these vaccines may induce CD8+ T‐cells cross‐reactivity with different strains of influenza.
O discurso político na mídia: a preservação da face positiva do Presidente Barack Obama

Este estudo visa a analisar os procedimentos de preservacao da face positiva empregados pelo presidente dos Estados Unidos Barack Obama durante uma interacao verbal. Pretendemos discutir as estrategias utilizadas por ele para diminuir a forca ilocutoria de seus enunciados, amenizando ou distanciando sua imagem de assuntos polemicos. O aporte teorico da pesquisa tem embasamento nos principios da Analise da Conversacao e o corpus e formado por uma entrevista concedida ao apresentador David Letterman, em seu programa Late Show with David Letterman , transmitida pela rede de televisao americana CBS em 2009. De acordo com os resultados, esses recursos influenciam a atitude linguistica do falante, sobretudo quando exposto, diretamente, a um grande publico. Seu discurso e formado por estrategias sociointeracionais destinadas a reducao de possiveis ameacas a imagem que quer preservar, a fim de obter a aprovacao dos ouvintes e garantir o resguardo do que nao deseja ver exibido.
Dialogue Editing for Motion Pictures: A Guide to the Invisible Art

Dialogue editing is a crucial yet invisible part of filmmaking. Do it right, and no one notices. Do it wrong, and your film or video sounds messy, distracting, and unrealistic. This is a book for people who need to edit production sound for film, TV, or video but were never taught how to do it. It goes step by step through the process and covers all the workflows you are likely to encounter. Efficient working practices are emphasized throughout, so you learn to save time and avoid needless repetition.Many dialogue editors are hobbled by a lack of understanding of the non-sound aspects of filmmaking. Unlike editors who cut effects, backgrounds or Foley, a dialogue editor's work is directly affected by what has gone on before. How a film was shot, recorded and edited will dramatically influence the dialogue editing process. Much of this book, then, deals with things which at first glance don't appear to be dialogue. You will find overviews of film picture and sound postproduction--film, tape, NTSC, PAL, 24p, and HD. There are summaries of film picture editing, OMF manipulation, and ADR management. * A veteran sound editor shows you how to produce a flawless dialogue track* Covers organization and time management so you can work efficiently* Must-have information for sound editors, dialogue editors, and assistant editors* Foreword by Dominick Tavella, who mixes films in New York (some of his films include: Chocolat, Far and Away, Vanity Fair, and Chicago)
User Authentication for Pico: When to unlock a security token

Passwords are current ly t he most widely used au t hent ica t ion mechanism. However, as shown in t he li terat ure numerous t imes, t hey have become obsolete for t he current technological contex t . T he P ico pro ject designed by St a jano [1] was created wi t h t he purpose of completely replacing passwords. I t is a securi ty token used for generat ing credent ials and providing au t hent ica t ion for t he user. I t has an addi t ional layer of securi ty, by only being usable in t he presence of i ts owner. T his is current ly achieved using auxiliary devices called P icosiblings. T he scope of t his disser t at ion was to crea te a new token unlocking mechanism t hat would o↵er P ico a di↵erent perspect ive to detect ing t he presence of i ts owner. We have st ar ted by analysing t he P ico design, and ident ifying any requirements for t he new unlocking mechanism. In order to have a reliable way of assessing t he solu t ion, we have selected an assessment framework developed by Bonneau et al [2]. Fur t hermore, we have created a token unlocking assessment framework adap ted from a subset of t he work by Bonneau et al, to which we have added addi t ional proper t ies. H aving ident i ed t he set of requirements, as well t he evaluat ion cri teria, we have considered t hat a solu t ion based on biomet rics would be most appropria te. We have designed a token unlocking scheme t hat combines mul t iple biomet ric and behavioural analysis mechanisms in order to generate an overall con dence level. T he solu t ion was prototyped using an A ndroid 4.4. 2 smar t-phone device, t herefore proving t hat i t can be developed using exist ing hardware. A ddi t ional t hrea t modelling, and power analyses o↵er addi t ional insight regarding t he limi t a t ions of t he scheme. Bot h t he token unlocking and Bonneau et al [2] frameworks were used for assessing t he proposed solu t ion. C omparing t he resul ts wi t h t hose of P icosiblings shows t hat we do not completely ou t perform t he original solu t ion, bu t we do o↵er an overall bet ter resul t .
Structure Learning in Graphical Modeling

A graphical model is a statistical model that is associated to a graph whose nodes correspond to variables of interest. The edges of the graph reflect allowed conditional dependencies among the variables. Graphical models admit computationally convenient factorization properties and have long been a valuable tool for tractable modeling of multivariate distributions. More recently, applications such as reconstructing gene regulatory networks from gene expression data have driven major advances in structure learning, that is, estimating the graph underlying a model. We review some of these advances and discuss methods such as the graphical lasso and neighborhood selection for undirected graphical models (or Markov random fields), and the PC algorithm and score-based search methods for directed graphical models (or Bayesian networks). We further review extensions that account for effects of latent variables and heterogeneous data sources.
An Ontology-Based Cross Language Information Retrieval Model

With the enrichment of network information and the improvement of the user's needs, people are not satisfied with retrieving in the same kind of language. So Cross Language Information Retrieval (CLIR) receives people's more and more concerns. One of kernel problem of CLIR is how to overcome communication obstacles between different languages. This paper proposes a novel semantic based CLIR model Onto CLIR. The model, basing on the technologies of traditional information retrieval, uses Ontology to describe the relevant domain knowledge in different kinds of languages. Thus the problems of semantic loss and distortion when translating between query language and retrieval language can be solved. In this way we can ensure that the model will follow user's query intention and get the expected results. We have done experiments to validate our approach. The experiments are designed to retrieve sport news in Chinese from Sina website with query in English. The experiment results demonstrate that when applying our ontology based CLIR approach the increases of the retrieval recall and precision both have reached more than 10 percent, which shows that our approach is effective in improving retrieval performance.
A Multi unit Creeping Robot Based on Earthworm Principle

The structure and locomotion principle of the multi unit creeping robot are introduced. The kinematic model is built and analyzed, and the control blocks and software design are discussed in detail. Some actuating experiments have been done when the micro robot creeps in the declining rubber tubes. The experimental results show that this micro robot can move reliably in horizontal and certain declining curving tubes. The temperature of robot is under 35℃ when it moves continually. The robot moves freely when the curve radius is more than 36mm. This research has laid a foundation for the development of miniature robots used in unstructured environments such as limited spaces and intestinal tract.
Przegląd metod oceny jakości wyników integracji obrazów panchromatycznych i wielospektralnych

The article presents an overview of different approaches and methods to evaluate spectral and spatial quality of image fusion results. This technique allows integrate the geometric detail of high-resolution panchromatic image and the spectral information of low-resolution multispectral image to produce high-resolution multispectral image. This new image can be used for more detailed analyses. However, in order to carry out a quantitative analysis, e.g. biomass estimation, it is necessary to preserve the spectral characteristics of the original multispectral image. This is among other the reason for the development of new algorithms for image fusion and methods for assessing the quality of their results.
Methodology of the determination of the uncertainties by using the biometric device the broadway 3D

The biometric identification by face is among one of the most widely used methods of biometric identification. Due to it provides a faster and more accurate identification; it was implemented into area of security 3D face reader by Broadway manufacturer was used to measure. It is equipped with the 3D camera system, which uses the method of structured light scanning and saves the template into the 3D model of face. The obtained data were evaluated by software Turnstile Enrolment Application (TEA). The measurements were used 3D face reader the Broadway 3D. First, the person was scanned and stored in the database. Thereafter person has already been compared with the stored template in the database for each method. Finally, a measure of reliability was evaluated for the Broadway 3D face reader.
TUNED BACTERIAL FORAGING ALGORITHM FOR FACE RECOGNITION TECHNIQUE

This article presents an efficient face recognition technique with the optimal selection of components through Bacterial Foraging Algorithm (BFA) based on Support Vector Machines (SVM). The shortcomings in the field of recognition are non-linear and accuracy which has been considered to resolve by an effective classifier. SVMs are kernel machines which uses minimal optimization algorithm for solving non-linear problems and it has a good perspective in face recognition application. This paper also analyzes how the functionality can be improved by choosing optimum parameters. Experimental results reveal that tuned BFA based SVM trained by RBF neural network lends itself to higher face recognition accuracy than normal SVM, BFA and RBF. Therefore the proposed method trained by RBF is of surpassing that of the existing techniques in face recognition. This Chemical journal is preferred because of Bacterial Foraging process of algorithm, viz chemical correlation and bacterium in Image processing.
General NC Code Translation Techniques

On the basis of thorough analysis of NC code's characteristics,A general NC code translator is realized by the custom made mode.We present a general structure of the NC code translator and discuss some key realizing techniques for NC code translation based on combining compiler and NC code translating theories,aided by template techniques in CAD/CAM.
Assessing publication bias in meta‐analyses in the presence of between‐study heterogeneity

Summary. Between‐study heterogeneity and publication bias are common features of a meta‐analysis that can be present simultaneously. When both are suspected, consideration must be made of each in the assessment of the other. We consider extended funnel plot tests for detecting publication bias, and selection modelling and trim‐and‐fill methods to adjust for publication bias in the presence of between‐study heterogeneity. These methods are applied to two example data sets. Results indicate that ignoring between‐study heterogeneity when assessing publication bias can be misleading, but that methods to test or adjust for publication bias in the presence of heterogeneity may not be powerful when the meta‐analysis is not large. It is therefore unrealistic to expect to disentangle the effects of publication bias and heterogeneity reliably in all except the largest meta‐analyses.
Impact of Head Motion on the Assistive Robot Expressiveness - Evaluation with Elderly Persons

In the near future, robots will support human to perform tasks in many domains (industrial, domestic, educational and health tasks). Such robot behaviors need to take into account the social interaction between robot and human. In this context, we focus on the expressiveness of a moving head for an assistive robot for the elderly. We designed a new moving head for the Kompai companion robot. On one hand, this new head improves its perception capabilities. On the other hand, we expect to jointly increase its social skills and thus its acceptability. This new head is composed of a tablet to animate a virtual face according to 4 facial expressions and a mechanical neck with 4 degrees of freedom to enhance the robot's expression. Before improving face expressions and adding more complex head movements, it is essential to evaluate the combination of simple head movements with virtual face expressions. A study was held jointly with physicians (psychologists, ergonomists) at the Broca Hospital in Paris to assess the impact to combine head movements with virtual face expressions, and the global acceptability of the Kompai head by the elderly.
Defining the roles of Ca2+ — permeable channels in sperm

Ion channels exert a vital role in the dialogue between male and female gametes and thus in the generation of new individuals in many species. Intracellular Ca2+ is possibly the key messenger between gametes. Different Ca2+-permeable channels have been detected in the plasma membrane and in the organelle-like acrosome membrane of sperm, which play vital roles in determining sperm fertilizing ability. Recent reports from several laboratories have adequately documented that the Ca2+-permeable channels of a sperm control a variety of functions ranging from motility to the acrosome reaction. In this article, we have reviewed the data from our and other laboratories, and have documented the mechanisms of different Ca2+-permeable channels involved in the fertilization event.