Miracle-dz/UniFAR-FTUs huggingface dataset:
Space and Time in Perception and Action: The Fröhlich effect: past and present

Summary When observers are asked to localize the initial position of a moving target, they often indicate a position displaced in the direction of motion relative to the true onset position. In this review, the debate between Frohlich, who discovered this phenomenon, and his contemporaries in the 1920s and 1930s is summarized. Striking misinterpretations of Frohlich's findings and the anticipation of recent research on the flash-lag effect will be presented. In the second part, current accounts of the Frohlich effect in terms of attention and metacontrast are evaluated. In the final section, reconciliation between research on the Frohlich effect and recent reports of an error opposite the direction of motion (the onset repulsion effect) is offered. Introduction When asked to localize a moving target entering a window, observers often indicate a position not adjacent to the edge of the window but a position displaced in the direction of motion (see Fig. 19.1(a)). The gap between the edge of a window and the initial perception of the moving target was first discovered by the Norwegian astronomer O. Pihl in 1894, but Frohlich (1923) was the first to study the effect systematically. Therefore, the illusion has been named the “Frohlich effect. ” Frohlich's explanation of the illusion in terms of “sensation time” was amply discussed in the 1930s (Frohlich 1930, 1932; Rubin 1930; G. E. Muller 1931; Metzger 1932; Pieron 1935) but forgotten for the 60 years that followed.
QR based iterative unbiased equation error filtering

A QR decomposition-based algorithm is presented for unbiased, equation error adaptive IIR filtering. The algorithm is based on casting the adaptive IIR filtering in a mixed least squares-total least squares (LS-TLS) framework. This formulation is shown to be equivalent to the minimization of the mean-square equation error subject to a unit norm constraint on the denominator parameter vector. An efficient implementation of the mixed LS-TLS solution is achieved through the use of back substitution and inverse iteration. Unbiasedness of the system parameter estimates is established for the mixed LS-TLS solution in the case of uncorrelated output noise, and the algorithm is shown to converge to this solution.
Body Politics Power Sex And Nonverbal Communication

body politics power sex and nonverbal communication is available in our book collection an online access to it is set as public so you can get it instantly. Our book servers saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the body politics power sex and nonverbal communication is universally compatible with any devices to read.
A Literature Review on Computer Assisted Detection of Follicles in Ultrasound Images of Ovary

Polycystic Ovary Syndrome (PCOS) is a female endocrine disorder which severely distresses women’s health. The disorder is characterized by a collection of incomplete developed follicles in the ovaries. Manual analysis of PCOS diagnosis often produces errors. So, in recent years many researchers have been enthusiastically working in automatic detection of PCOS. This paper reviews follicle detection in the ovary ultrasound images by using different techniques.
A pr 2 00 5 XBoötes : An X-ray Survey of the NDWFS Boötes Field – Paper I – Overview and Initial Results

We obtained a 5 ksec deep Chandra X-ray Observatory ACIS-I map of the 9.3 square degree Boötes field of the NOAO Deep Wide-Field Survey. Here we describe the data acquisition and analysis strategies leading to a catalog of 4642 (3293) point sources with 2 or more (4 or more) counts, corresponding to a limiting flux of roughly 4(8) × 10 erg cms in the 0.5-7 keV band. These Chandra XBoötes data are unique in that they consitute the widest contiguous X-ray field yet observed to such a faint flux limit. Because of the extraordinarily low background of the ACIS, we expect only 14% (0.7%) of the sources to be spurious. We also detected 43 extended sources in this survey. The distribution of the point sources among the 126 pointings (ACIS-I has a 16 x 16 arcminute field of view) is consistent with Poisson fluctuations about the mean of 36.8 sources per pointing. While a smoothed image of the point source distribution is clumpy, there is no statistically significant evidence of large scale filamentary structure. We do find however, that for θ > 1 arcminute, the angular correlation function of these sources is consistent with previous measurements, following a power law in angle with slope ∼ −0.7. In a 1.4 deg sample of the survey, approximately 87% of the sources with 4 or more counts have an optical counterpart to R∼ 26 Harvard-Smithsonian Center for Astrophysics, 60 Garden St., Cambridge MA 02138 National Optical Astronomy Observatory, 950 N. Cherry Ave.,Tucson Az 85719 Ohio University Department of Physics and Astronomy, Athens OH 45701 Steward Observatory, University of Arizona, 933 N. Cherry Ave., Tucson AZ 85751 The Ohio State University, Department of Astronomy, Columbus OH 43210 Department of Astrophysical Sciences, Princeton University, Peyton Hall, Ivy Lane, Princeton, NY 08544
Experiential Knowledge in TMN

Actually, an expressive portion of TMN management actions lays on professionals' experiential knowledge of this specific area. This knowledge is fundamental for management activities, however it is not represented, inserted, formalized and available in the management models. This paper proposes a model to add experiential knowledge to TMN, using Case Base Reasoning approach, in a structured and standardized way, allowing the development of open support systems. Justification for using case base reasoning approach is given. A Case Framework is described. An example of custom application is presented, as well as model advantages.
Systemic lupus erythematosus in Crohn’s disease: drug-induced or idiopathic?

Coexistence of Crohn’s disease (CD) and idiopathic systemic lupus erythematosus (SLE) is very rare. On the other hand, drug-induced lupus erythematosus (DILE) due to anti-tumor necrosis factor (TNF) agents is a relatively more common entity. DILE due to anti-TNF agents and idiopathic SLE share common serologic and epidemiologic characteristics making the differentiation between those two entities difficult. We present a case of a 35-year-old woman with CD who developed SLE after treatment with adalimumab and denosumab and persisting symptoms eight months after discontinuation of those agents.
Viaggio esplorativo nei bisogni di formazione della medicina generale in previsione dei nuovi assetti organizzativi

Background. A practice-based learning, realized for all the 430 GPs of Local Health Authority TO3, highlighted problems related to the difficulty of being group and working as such. To focus these issues, it was organized an “Outdoor Training Experience” addressed to their representatives of the Regional Team, identified as facilitators between GPs. At the end of the course it was given an interview to explore the related lived experiences. Method. The rich texts of the answers of the narrative interview were analysed with Conventional Content Analyses, in triangulation between the two authors, in order to find generalizable categories and meanings. Result. Four main areas were identified: 17% of reports about communication and team building, 25% team working and problem solving, 10% proactivity / creativity, 48% leadership. All these areas were under articu- lated in critical issues and solutions. Reported as significant elements: awareness of the role, development of teamwork and ability to listen to everyone with respect, learning from the mistake and development of hetero centrism. Two conflicting lines of thought were revealed: the priority is the group over targets versus using the group to achieve the objective. Conclusion. Experience has shown that it is possible to learn to cope with complex relational situations and bring out also not aware training needs, worthy of attention and care: it could be that the issue of pro-activity / creativity, fundamental in impending reorganization of the GPs, may have been considered less significant because it needs more time for reflection and processing.
An Extremal Inequality Motivated by the Vector Gaussian Broadcast Channel Problem

We prove a new extremal inequality, motivated by the vector Gaussian broadcast channel problem. As a corollary, this inequality yields a generalization of the classical vector entropy-power inequality (EPI). As another corollary, this inequality sheds insight into maximizing the differential entropy of the sum of two jointly distributed random variables.
The Psychosocial Experience of Adolescents with Haematological Malignancies in Jordan: An Interpretive Phenomenological Analysis Study

The qualitative research method of interpretive phenomenological analysis was used to explore the lived experience of 14 Jordanian adolescents with haematological malignancies. They were admitted to two hospitals in Jordan and were interviewed for this study twice during the first six months after receiving their diagnosis. The results of this study revealed three themes: (1) Being in hospital, (2) The changing self, and (3) Fearing the unknown. When the participants were hospitalised due to their illness they were removed from their families and friends and prevented from engaging in their normal daily routine. Participants also reported receiving limited emotional and psychological support from health team members during hospitalisation. From the onset of cancer treatments, the bio-psychosocial side effects of the chemotherapy became one of the most distressing factors for participants affecting all aspects of their life and generated uncertainty about their future. The findings add to existing understanding of the lived experiences of cancer patients and in particular Jordanian adolescents. They provide a valuable insight for clinicians into improvements in service delivery to this group of patients.
Thread Merging Schemes for Multithreaded Clustered VLIW Processors

Several multithreading techniques have been proposed to reduce the resource underutilization in Very Long Instruction Word (VLIW) processors. Simultaneous MultiThreading (SMT) is a popular technique which improves processor performance by issuing multiple instructions from different threads. SMT requires extra hardware to merge instructions from different threads. The complexity of this hardware increases substantially with the number of threads, limiting the number of threads that can be realistically supported to only 2. Cluster-level Simultaneous MultiThreading (CSMT) is a technique that merges instructions from threads at the cluster level. CSMT has a much lower merging hardware cost and can support a larger number of threads. However, CSMT performance is lower than SMT. In this paper, we evaluate several hardware designs that can support a high number of threads by using a merging scheme that combines both SMT and CSMT merging. For instance, one of the evaluated schemes, which merges the first 2 threads using SMT and the produced merging with other 2 threads by CSMT, achieves performance similar to supporting 4 threads by SMT but maintaining a reasonable merging hardware cost.
GA based reduced order robust loop shaping controller design for HDD servo system with dual stage actuator

As we know that the recording density is increasing at an impressive annual rate of 100%, and the access time is decreasing; very soon, the storage density of Harddisk drive will cross 1 Terra bit per square inch. The VCM actuator used in the conventional disk drives has hundreds of flexible resonances at high frequencies, which limit the increase of bandwidth and hence the positioning accuracy. In order to develop a high band width(track-following) servo system, dual-stage actuator has been proposed as a possible solution to this problem. This paper proposes the design of fixed-structure robust loop shaping control for a dual stage actuator system, which is a class of multi input single output system (MISO). The design is based on the concept of robust control in multivariable feedback. The discussion between the proposed controller and the conventional parallel and decoupled Master slave structure is included in this paper. Simulation results verify the effectiveness of the proposed technique.
An Efficient Software Prediction on Cloud infrastructure With Self-Adaptive Classification Model

Business information is stored in the cloud environment and offers proficient software services to the clients using internet. Cloud infrastructure delivers traditional software services among different cloud users. Decentralized Self-Adaptation Mechanism has been implemented to maintain decentralization applicable to QoS exhibited cloud system. However, designing decentralized Self-Adaptation Mechanism is not trivial as it failed to port the model in CloudSim platform. Service delivery models of cloud computing understands the risks of data but fails to establish the dynamic software prediction framework on cloud infrastructure. In this paper, we design a dynamic software prediction framework on CloudSim platform called as the Software Prediction with Self-adaptive Classification (SPSC) model. SPSC model predict the software required by the user and establishes communication dynamically for providing software services to cloud users. SPSC model is split into two phases. The initial phase starts with the software prediction followed by the second phase that performs the process of classification. SPSC model performs the software prediction using autoregressive method in cloud zone for improving the software service availability rate depending on the client needs. We then present a classification model performed based on the information obtained using Principle Component Analysis (PCA). PCA based classification improves the quality of services and also used to easily identify the software peculiar features in cloud zone. The identification of peculiar features helps to improve the classification rate averagely by 12 percentages. SPSC model experiment the work in CloudSim platform with Amazon web service dataset on the factors such as execution time, classification accuracy rate and Quality of Service rate on client request.
Architectural Issues in Software Fault Tolerance

This chapter presents a unified overview of architectural solutions to software fault tolerance by means of design diversity, i.e., the production of two or more systems aimed at delivering the same service through separate designs and realizations. The first part synthesizes the major approaches for software-fault tolerance; in addition to the recovery blocks (discussed in Chapter 1) and N -version programming (discussed in Chapter 2) methods, a third type of approach is identified from the careful examination of current, real-life systems: N self-checking programming. Then, the three approaches to software fault tolerance are analyzed with respect to two viewpoints: dependability and cost. Finally, architectures aimed at tolerating both hardware and software faults are defined and analyzed.
LIMITS TO CHANGE IN IS IMPLEMENTATION: A STUDY OF SMALL BUSINESS

Given the current e-commerce environment small business success often depends on IS-enabled change. Small businesses rely on IS-enabled changes to enhance cooperation and alignment among themselves and to achieve benefits from information technology. The literature identifies factors of resistance to IS-enabled change as human, political, and technical. A key result of this paper is that knowledge management is also a factor of resistance and may negatively impact IS. A qualitative case study of IS implementation in small businesses was employed to identify factors that influence planned technical and work process changes. Through case study analysis resistance factors surfaced that limited the planned changes. System dynamics helped us in exploring the complexity of the relationship among limiting conditions. A conceptual model is presented to help IS managers understand how limiting plateaus develop when implementing new technology in small business.
PDSS: patch-descriptor-similarity space for effective face verification

In this paper, we propose the Patch-Descriptor-Similarity Space (PDSS) for unconstrained face verification, which is challenging due to image variations in pose, lighting, facial expression, and occlusion. Our proposed PDSS considers jointly patch, descriptor and similarity measure, which are ignored by the existing work. PDSS is extremely effective for face verification because each axis of PDSS will boost each other and could maximize the effect of every axis. Each point in PDSS reflects a distinct partial-matching between two facial images, which could be robust to variations in the facial images. Moreover, by selecting the discriminating point subset from PDSS, we could describe accurately the characteristic similarities and differences between two facial images, and further decide whether they represent the same person. In PDSS, each axis can describe effectively the distinct features of the faces: each patch (the first axis) reflects a distinct trait of a face; the descriptor (the second axis) is used to describe such face trait; and the similarity between two features can be measured by a certain kind of similarity measure (the third axis). The experiment adopts the extensively-used Labeled Face in the Wild (LFW) unconstrained face recognition dataset (13K faces), and our proposed PDSS approach achieves the best result, compared with the state-of-the-art methods.
A flexible approach to alliances of complex applications

Complex distributed environments contain thousands of workstations that can run hundreds of applications. Multiple networks are used to connect the workstations to dozens of behind-the-scenes servers, all of which are necessary for the user to perform even simple tasks. Such distributed environments are difficult to design and maintain, and current software engineering practices are not well adapted to deal with this inherent complexity. This paper describes the Single Glass Project in the Boeing Commercial Airplane Group. Single Glass expands the number of both internally developed and commercial-off-the-shelf applications a single user can access from any workstation. The result is in production use by over 6,000 people in both Puget Sound and Wichita. The key to success is a flexible and scaleable architecture that works within a complex, heterogeneous application and delivery system environment. Our work has focused on both computing technology (software and delivery systems) and general processes (primary technology, support, and organization). Agreements on both technology and process improvements are essential to project success. Single Glass is a work in progress, and we describe areas that require additional investigation. Our experience indicates that most technical problems can be addressed. However, significant improvement is needed in software engineering processes and practices to design and build applications and systems that can be tested, delivered, supported, and diagnosed when made available alongside other, independently developed applications and systems.
A Confidence Measure for Model Fitting with X-Ray Crystallography Data

Structure determination from X-ray crystallography requires numerous stages of iterative refinement between real and reciprocal space. Current methods that fit a model structure to X-ray data therefore utilize a refined experimental electron density map along with a scoring function that characterizes the fit of the density map to structure. Additional information (e.g., from an energy function or conformational statistics) may supplement this score. In this paper, we derive a novel confidence measure for fitting model fragments into X-ray crystallography data. Given any set of conformations under consideration (e.g., a set of sidechain rotamers, or backbone fragments), and a scoring function for those conformations (e.g., least squares fit of the associated model density maps), we give a general-purpose method for assessing the confidence of the best-fit model. For the commonly used least-squares measure of fit, our method analyzes the statistics of the matching scores and estimates the probability that the best-fit conformation is the correct underlying model. To our knowledge, ours is the first method for computing such a confidence measure. To demonstrate the practical utility of our method, we study the problem of sidechain placement and show that our confidence measure can be used to detect and correct incorrect conformational predictions. Over nine proteins with density maps of varying resolutions, the Pearson correlation between predictive accuracy (of least-squares fit) and our confidence measure is quite high, about . 89. We show that our approach can guide the use of stereochemical restraints when confidence is low in predictions. We also propose a Bayesian data fusion scheme that integrates our confidence measure to weight the contributon of each source of data, which could potentially be used for combining experimental, modeling, and empirical data in automated structure determination.
Contribution of intertwined loop to membrane association revealed by Zika virus full‐length NS1 structure

The association of Zika virus (ZIKV) infections with microcephaly and neurological diseases has highlighted an emerging public health concern. Here, we report the crystal structure of the full‐length ZIKV nonstructural protein 1 (NS1), a major host‐interaction molecule that functions in flaviviral replication, pathogenesis, and immune evasion. Of note, a long intertwined loop is observed in the wing domain of ZIKV NS1, and forms a hydrophobic “spike”, which can contribute to cellular membrane association. For different flaviviruses, the amino acid sequences of the “spike” are variable but their common characteristic is either hydrophobic or positively charged, which is a beneficial feature for membrane binding. Comparative studies with West Nile and Dengue virus NS1 structures reveal conserved features, but diversified electrostatic characteristics on both inner and outer faces. Our results suggest different mechanisms of flavivirus pathogenesis and should be considered during the development of diagnostic tools.
A new Leptobrachium (Anura: Megophryidae) from the highlands of southeastern Laos

Twelve species of Leptobrachium are known from Vietnam, Laos and Cambodia, most of which have been described toscience in the past twelve years. Our fieldwork on the Dakchung Plateau of southeastern Laos discovered a small Lepto-brachium with a yellow upper iris that resembled L. buchardi, a species known only by the female holotype from the Bo-laven Plateau of southern Laos. We use our new collections to expand the original description of L. buchardi, and describethe Dakchung species as new. Leptobrachium xanthops sp. nov. is distinguished from its congeners by having small bodysize (males with SVL 44.7, females with SVL 38.8–45.2), the upper one-half of iris and scleral arc pale yellow, a dark venter, and sexually active males without spines on the upper lip.