Miracle-dz/UniFAR-FTUs huggingface dataset:
Balancing fusion, image depth and distortion in stereoscopic head-tracked displays

Abstract Stereoscopic display is a fundamental part of virtual reality HMDsystems and HTD (head-tracked display) systems such as thevirtual workbench and the CAVE. A common practice instereoscopic systems is deliberate incorrect modeling of user eyeseparation. Underestimating eye separation is frequentlynecessary for the human visual system to fuse stereo image pairsinto single 3D images, while overestimating eye separationenhances image depth. Unfortunately, false eye separationmodeling also distorts the perceived 3D image in undesirableways. This paper makes three fundamental contributions tounderstanding and controlling this stereo distortion. (1) Weanalyze the distortion using a new analytic description. Thisanalysis shows that even with perfect head tracking, a user willperceive virtual objects to warp and shift as she moves her head. (2) We present a new technique for counteracting the shearingcomponent of the distortion. (3) We present improved methodsfor managing image fusion problems for distant objects and forenhancing the depth of flat scenes.CR Categories and Subject Descriptions: I.3. 7 [ComputerGraphics] Three-Dimensional Graphics and Realism - VirtualReality; I.3. 6 [Computer Graphics] Methodology and Techniques– Ergonomics; I.3. 6 [Computer Graphics] Methodology andTechniques – Interaction Techniques; I.3. 3 [Computer Graphics]Picture/Image Generation – Viewing AlgorithmsAdditional Keywords: virtual reality, stereoscopic display,head-tracking, image distortion
Lipocalin 2 is a selective modulator of peroxisome proliferator‐activated receptor‐γ activation and function in lipid homeostasis and energy expenditure

We have previously identified lipocalin 2 (Lcn2) as a cytokine playing a critical role in the regulation of body fat mass, lipid metabolism, and insulin resistance. Lcn2 deficiency reduces PPARγ gene expression in adipocytes. In this study, we investigated the role of Lcn2 in PPARγ activation and function via assessing the insulin sensitization and fatty acid (FA) homeostasis of PPARγ agonist in high‐fat diet (HFD)‐induced obesity in Lcn2−/− mice. We found that rosiglitazone (Rosi) significantly improved insulin sensitivity in Lcn2−/− mice as effectively as in wild‐type (WT) mice; unfed‐state levels of blood glucose, free FAs, and triglycerides (TGs) were significantly reduced after a 25‐d treatment of Rosi in Lcn2−/− mice. However, Rosi action on fat deposition and FA homeostasis was altered; Rosi‐induced body weight and subcutaneous fat gain and liver lipid accumulation were markedly lessened in Lcn2−/− mice. The results of in vivo metabolic labeling showed that Rosi markedly reduced de novo lipogenesis in adipose tissue of Lcn2−/− mice. In brown adipose tissue (BAT), the expression of the genes functioning in TG hydrolysis and mitochondrial oxidation was up‐regulated more in Lcn2−/− than in WT mice. Most strikingly, Rosi stimulated significantly higher levels of uncoupling protein‐1 expression in BAT, and completely rescued cold intolerance in Lcn2−/− mice. We demonstrate that Lcn2 is a critical selective modulator of PPARγ activation and function in lipid homeostasis and energy expenditure. —Jin, D. , Guo, H. , Bu, Y. S. , Zhang, Y. , Hannaford, J., Mashek, D. G. , Chen, X. Lipocalin 2 is a selective modulator of peroxisome proliferator‐activated receptor‐γ activation and function in lipid homeostasis and energy expenditure. FASEB J. 25, 754–764 (2011). www.fasebj. org
Characterizations and Industrial Applications for Cement and Concrete Incorporated Natural Zeolite

Zeolites have been widely used in various industries, leading to a high commercial value; this is mainly due to the wide diversity of naturally occurring species and the ability to synthesize new types. In the cement and concrete industry, natural zeolite is a popular natural pozzolanic material in some regions of the world owing to their economic, environmental, and technical advantages, among others, used pozzolanic materials. Many works have reported the use of natural zeolite as substituent material for cement in mortar and concrete. Generally, the use of natural zeolite can overcome environmental and economic problems associated with the use of high quantity of cement; furthermore, it is shown a strength enhancement and durability improvement properties of cement and concrete composites. In this context, this chapter strives to review the application of natural zeolite as pozzolan in cement and concrete composites, its characteristic, its proper incorporation, and each of the influencing parameters. In addition, the elaboration methods, textural and mechanical characterization, and applications of these composites will be treated.
Persona-and-scenario based requirements engineering for software embedded in digital consumer products

The challenge of the requirements engineering to digital consumer products lies in that the users are unknown many of wide variety. The major contributions of this article include a technique to identify persona to provide a rich contextual model of a group of primary targeted users based on conjoint analysis theory, and a technique to identify the value and hot spots in the requirements through the interaction analysis between personas and scenarios. We applied the proposed methodology to mobile phone product lines through a series of field studies conducted with more than 150 users from 2003 to 2004 in Japan. The studies revealed the various aspects of nontechnical users, and proved the effectiveness of proposed methodology in the requirements engineering for digital consumer products.
Mechanisms of Photonic Curing™: Processing High Temperature Films on Low Temperature Substrates

Photonic Curing uses flashlamps to thermally process a thin film at high temperature on a low temperature substrate without damaging it. This has utility in printed electronics, where high temperature curing is generally equated to electronic performance and high speed processing is equated to low cost. Three significant processing advantages are realized over previous technologies: The has In this paper we discuss the mechanisms of the process and model it using a thermal diffusion simulation. The simulation has been integrated into a 4 th generation high-speed processing tool yielding predictive results.
Power‐efficient routing for SDN with discrete link rates and size‐limited flow tables: A tree‐based particle swarm optimization approach

Software‐defined networking is a promising networking paradigm for achieving programmability and centralized control in communication networks. These features simplify network management and enable innovation in network applications and services such as routing, virtual machine migration, load balancing, security, access control, and traffic engineering. The routing application can be optimized for power efficiency by routing flows and coalescing them such that the least number of links is activated with the lowest link rates. However, in practice, flow coalescing can generally overflow the flow tables, which are implemented in a size‐limited and power‐hungry ternary content addressable memory (TCAM). In this paper, a set of practical constraints is imposed to the software‐defined networking routing problem, namely, size‐limited flow table and discrete link rate constraints, to ensure applicability in real networks. Because the problem is NP‐hard and difficult to approximate, a low‐complexity particle swarm optimization–based and power‐efficient routing (PSOPR) heuristic is proposed. Performance evaluation results revealed that PSOPR achieves more than 90% of the optimal network power consumption while requiring only 0.0045% to 0.9% of the optimal computation time in real‐network topologies. In addition, PSOPR generates shorter routes than the optimal routes generated by CPLEX.
Don't Throw Bateman Out with the Bathwater!

Abstract Bateman identified two aspects of sexual selection. The first, called Bateman's principle, is that sexual selection favors increased promiscuity of males but not of females as a result of differences in parental investment in gametes. The second is that the variance in mate number of males is the fundamental cause of a sex difference in fitness variance. We argue that Bateman's insight about the source of sexual selection is more fundamental than his speculation about patterns of parental investment. We show that, when the sex ratio is 1:1, the average female must be as promiscuous as the average male, because each copulation involves one male and one female. Because mean male and female promiscuity are tied together in the same manner as mean male and female fitness, a sex difference in mating propensity must be the result of either (1) a sex difference in the covariance between matings and number offspring, or (2) Fisherian run-away sexual selection, wherein female reluctance to mate is a weak form of female choice. We show how female promiscuity can limit the evolution of male promiscuity, turning the central argument of parental investment theory on its head.
A Low-Complexity Congestion Control and Scheduling Algorithm for Multihop Wireless Networks With Order-Optimal Per-Flow Delay

Quantifying the end-to-end delay performance in multihop wireless networks is a well-known challenging problem. In this paper, we propose a new joint congestion control and scheduling algorithm for multihop wireless networks with fixed-route flows operated under a general interference model with interference degree K. Our proposed algorithm not only achieves a provable throughput guarantee (which is close to at least 1/K of the system capacity region), but also leads to explicit upper bounds on the end-to-end delay of every flow. Our end-to-end delay and throughput bounds are in simple and closed forms, and they explicitly quantify the tradeoff between throughput and delay of every flow. Furthermore, the per-flow end-to-end delay bound increases linearly with the number of hops that the flow passes through, which is order-optimal with respect to the number of hops. Unlike traditional solutions based on the back-pressure algorithm, our proposed algorithm combines window-based flow control with a new rate-based distributed scheduling algorithm. A key contribution of our work is to use a novel stochastic dominance approach to bound the corresponding per-flow throughput and delay, which otherwise are often intractable in these types of systems. Our proposed algorithm is fully distributed and requires a low per-node complexity that does not increase with the network size. Hence, it can be easily implemented in practice.
Integrating fractal dimensionality reduction with cluster evolution tracking

Detecting and tracking of cluster evolution has always been crucial to the stream data mining. While it, in high dimensional stream data environment, becomes more difficult under the interaction between dimensionality reduction and cluster evolution condition. The past has been focus on cluster evolution occurred in the reduced dimensionality space. Dimensionality reduction before the cluster evolution option, however, can not cope with the abrupt changes which are common in stream data. There is the demand of the dimensionality reduction during the process of the cluster evolution, which is the most popular case. In the paper, we pay more attention for the interaction between dimensionality reduction and cluster evolution in the inconstant high dimensional stream data. And on this basis, we propose the adaptive cluster evolution tracking algorithm which integrated the on-line fractal dimensionality reduction technique. Experimental results over a number of real and synthetic data sets show that the method proposed are both effectiveness and efficiency.
How well does social variation mirror secular change in prevalence of cardiovascular risk factors in a country in transition?

Objectives: The social and cultural transition among the Inuit in Greenland over the last generations has in ecological studies been linked to changes in cardiovascular risk factors. To permit analyses at the individual level, we propose a categorization of participants in a cross‐sectional study according to their relative position in the process of social change.
Refactorings without names

As with design patterns before, the naming and cataloguing of refactorings has contributed significantly to the recognition of the discipline. However, in practice concrete refactoring needs may deviate from what has been distilled as a named refactoring, and mapping these needs to a series of such refactorings - if at all possible - can be difficult. To address this, we propose a framework of specifying refactorings in an ad hoc fashion, and demonstrate its feasibility by presenting an implementation. Evaluation is done by simulating application through a user on a set of given sample programs. Results suggest that our proposal of ad hoc refactoring is, for the investigated scenarios at least, viable.
pre-print CONTEXT-SENSITIVE GENERATION OF GOAL-DIRECTED BEHAVIORAL SEQUENCES BASED ON NEURAL ATTRACTOR DYNAMICS

Autonomy in robotic systems makes it possible for a human use r to define goals for the robot in relatively macroscopic terms, while the robotic system figures out the details. In ad dition to the considerable problem of providing all the component perceptual and motor behaviors, interactive scenar ios require principles for behavioral organization and seq uence generation. Behavioral organization must ensure that at ea ch moment in time all behavioral constraints are satisfied. S equence generation must achieve the goal by assembling in the corr ct order the component behaviors that lead to the goal.
A Characterization of Lazy and Eager Semantic Solutions to the Linda Predicates Ambiguity Problem

The problems associated with Linda predicate operations inp() and rdp() are well known but not always well understood. One problem, from a purely academic standpoint, is that of semantic ambiguity in the case of failure. Despite this problem, commercial tuple space implementations all provide some version of the Linda predicate operations, and thus, problems concerning safety and liveness arise. Solutions to address these problems range from proposing extensions to an existing model of computation (CSP) to proposing alternative definitions for the Linda predicate operations themselves. While these solutions may at first appear unrelated, it is possible to relate these two disparate approaches in the context of lazy and eager semantics. The benefits of this characterization include a clearer understanding of the Linda predicates ambiguity problem, two respective solutions to this problem, and the importance of considering both lazy and eager semantic perspectives as techniques for problem solving in parallel and distributed systems.
Fluid-structure interaction of heart valve dynamics in comparison to finite-element analysis

Abstract An established therapy for aortic valve stenosis and insufficiency is the transcatheter aortic valve replacement. By means of numerical simulation the valve dynamics can be investigated to improve the valve prostheses performance. This study examines the influence of the hemodynamic properties on the valve dynamics utilizing fluidstructure interaction (FSI) compared with results of finiteelement analysis (FEA). FEA and FSI were conducted using a previously published aortic valve model combined with a new developed model of the aortic root. Boundary conditions for a physiological pressurization were based on measurements of ventricular and aortic pressure from in vitro hydrodynamic studies of a commercially available heart valve prosthesis using a pulse duplicator system. A linear elastic behavior was assumed for leaflet material properties and blood was specified as a homogeneous, Newtonian incompressible fluid. The type of fluid domain discretization can be described with an arbitrary Lagrangian-Eulerian formulation. Comparison of significant points of time and the leaflet opening area were used to investigate the valve opening behavior of both analyses. Numerical results show that total valve opening modelled by FEA is faster compared to FSI by a factor of 5. In conclusion the inertia of the fluid, which surrounds the valve leaflets, has an important influence on leaflet deformation. Therefore, fluid dynamics should not be neglected in numerical analysis of heart valve prostheses.
Effect of Sequences of the Active-Site Dipeptides of DsbA and DsbC on In Vivo Folding of Multidisulfide Proteins inEscherichia coli

ABSTRACT We have examined the role of the active-site CXXC central dipeptides of DsbA and DsbC in disulfide bond formation and isomerization in the Escherichia coli periplasm. DsbA active-site mutants with a wide range of redox potentials were expressed either from the trc promoter on a multicopy plasmid or from the endogenous dsbA promoter by integration of the respective alleles into the bacterial chromosome. ThedsbA alleles gave significant differences in the yield of active murine urokinase, a protein containing 12 disulfides, including some that significantly enhanced urokinase expression over that allowed by wild-type DsbA. No direct correlation between the in vitro redox potential of dsbA variants and the urokinase yield was observed. These results suggest that the active-site CXXC motif of DsbA can play an important role in determining the folding of multidisulfide proteins, in a way that is independent from DsbA's redox potential. However, under aerobic conditions, there was no significant difference among the DsbA mutants with respect to phenotypes depending on the oxidation of proteins with few disulfide bonds. The effect of active-site mutations in the CXXC motif of DsbC on disulfide isomerization in vivo was also examined. A library of DsbC expression plasmids with the active-site dipeptide randomized was screened for mutants that have increased disulfide isomerization activity. A number of DsbC mutants that showed enhanced expression of a variant of human tissue plasminogen activator as well as mouse urokinase were obtained. These DsbC mutants overwhelmingly contained an aromatic residue at the C-terminal position of the dipeptide, whereas the N-terminal residue was more diverse. Collectively, these data indicate that the active sites of the soluble thiol- disulfide oxidoreductases can be modulated to enhance disulfide isomerization and protein folding in the bacterial periplasmic space.
BSML: bio-synergy modeling language for multi-component and multi-target analysis

Multi-compound drugs are considered as the most promising solution to overcome the limited efficacy and off-target effect of drugs. However, identifying promising multiple compounds by experimental tests requires overwhelming costs and a number of tests. Systems biology-based approaches are regarded as one of the most promising strategy. To predict responses of drugs in biological systems is one of aims of Systems biology. We made Bio-Synergy Modeling Language (BSML) for modeling biological systems, which are multi-scale systems. BSML contains context information that covers spatial scales, temporal scales, and condition information, such as disease. We have applied BSML to generate type 2 diabetes (T2D) model, which involves malfunctions of numerous organs such as pancreas, liver, and muscle. We have extracted 12,522 T2D-related rules from public databases automatically. We simulated responses of single drugs and combination drugs on the T2D model by Petri nets. The results of our simulation show candidate T2D drugs and how combination drugs could act on whole-body scales. We expect that our work would provide an insight for identifying promising combination drugs and mechanisms of combination drugs on whole body scales.
On memory system design

A hierarchy of information accessibility exists in every system. Even simple calculators employ a two-level hierarchy consisting of internal registers and external key-entered data. In a typical computer system we find a multilevel hierarchy extending from working registers through random-access main-memory, to direct access devices, to sequential access devices, and on outward to off-line archives.
Proposal new area of study by connecting between information theory and Weber-Fechner law

Rough speaking, information theory deals with data transmitted over a channel such as the internet. Modern information theory is generally considered to have been founded in 1948 by Shannon in his seminal paper, "A mathematical theory of communication. " Shannon's formulation of information theory was an immediate success with communications engineers. Shannon defined mathematically the amount of information transmitted over a channel. The amount of information doesn't mean the number of symbols of data. It depends on occurrence probabilities of symbols of the data. Meanwhile, psychophysics is the study of quantitative relations between psychological events and physical events or, more specifically, between sensations and the stimuli that produce them. It seems that Shannon's information theory bears no relation to psychophysics established by German scientist and philosopher Fechner. Here I show that to our astonishment it is possible to combine two fields. And therefore we come to be capable of measuring mathematically perceptions of the physical stimuli applicable to the Weber-Fechner law. I will define the concept of new entropy. And as a consequence of this, new field will begin life.
Multi-Domain Sentiment Relevance Classification with Automatic Representation Learning

Sentiment relevance (SR) aims at identifying content that does not contribute to sentiment analysis. Previously, automatic SR classification has been studied in a limited scope, using a single domain and feature augmentation techniques that require large hand-crafted databases. In this paper, we present experiments on SR classification with automatically learned feature representations on multiple domains. We show that a combination of transfer learning and in-task supervision using features learned unsupervisedly by the stacked denoising autoencoder significantly outperforms a bag-of-words baseline for in-domain and cross-domain classification.
The two-phase model for calculating thermodynamic properties of liquids from molecular dynamics: Validation for the phase diagram of Lennard-Jones fluids

To validate this two phase model for the thermodynamics of liquids, we applied it to pure Lennard-Jones systems for a range of reduced temperatures from 0.9 to 1.8 and reduced densities from 0.05 to 1.10. These conditions cover the gas, liquid, crystal, metastable, and unstable states in the phase diagram. Our results compare quite well with accurate Monte Carlo calculations of the phase diagram for classical Lennard-Jones particles throughout the entire phase diagram. Thus the two-phase thermodynamics approach provides an efficient means for extracting thermodynamic properties of liquids ~and gases and solids! © 2003 American Institute of Physics. @DOI: 10.1063/1.1624057#