Miracle-dz/UniFAR-FTUs huggingface dataset:
Free-hand gesture control with "touchable" virtual interface for human-3DTV interaction

Hand gesture based input method has quickly emerged as an alternative way for human-3DTV interaction. However, it limits the user experience and gets severe when gesture recognition in uncontrolled TV room is not accurate or robust enough and a large type and number of gestures are required. In this paper, we present a simple and fast human-3DTV interaction method that combines the advantages of touchless gesture input process and traditional direct-touch interaction with a hand-held device. Our system displays a virtual 3D interface in the user's view for the user to manipulate, and then recognizes the user's gestures to interact with the 3DTV. In this way the user could see immediate visual response on the 3D interface. Moreover, with several simple gestures, the user can manipulate 3DTV fasters and more accurate. The paper reports a user study on accuracy and speed to validate advantages by our proposed human-3DTV interaction approach.
Tracs: transparency-control for see-through displays

We present Tracs, a dual-sided see-through display system with controllable transparency. Traditional displays are a constant visual and communication barrier, hindering fast and efficient collaboration of spatially close or facing co-workers. Transparent displays could potentially remove these barriers, but introduce new issues of personal privacy, screen content privacy and visual interference. We therefore propose a solution with controllable transparency to overcome these problems. Tracs consists of two see-through displays, with a transparency-control layer, a backlight layer and a polarization adjustment layer in-between. The transparency-control layer is built as a grid of individually addressable transparency-controlled patches, allowing users to control the transparency overall or just locally. Additionally, the locally switchable backlight layer improves the contrast of LCD screen content. Tracs allows users to switch between personal and collaborative work fast and easily and gives them full control of transparent regions on their display.
On Secret Sharing Schemes

The concept of secret sharing has been introduced independently by Shamir and Blakley, as a tool to protect a secret from getting exposed or from being lost. It allows a so-called dealer to share a secret among the members of a set P , which are usually called players or participants, in such a way that only certain specified subsets of players are able to reconstruct the secret while smaller subsets have no information about this secret at all. Since then the research on this topic has been extensive. In this paper we are going to present an overview of some approaches for building secrets sharing schemes based on well studied objects like matroids and error-correcting codes on one hand. We will start with introducing the Shamir’s polynomial scheme. Then we will talk about the relations between ideal Secret Sharing, matroids and error-correcting codes. On the other hand we will introduce linear SSS for general access structures and we will explain the approach by Cramer, Damgard and Maurer based on Monotone Span Programs. We will complete by considering error-set codes as a generalization of the notion of codes.
Physostigmine treatment of progressive supranuclear palsy

Cognitive and extrapyramidal effects of cholinomimetic therapy were evaluated in 8 patients with progressive supranuclear palsy. Each was randomized to a 10‐day double‐blind crossover trial of physostigimine and placebo. Physostigmine treatment was associated with marginal and inconsistent changes in long‐term memory, suggesting that cholinergic therapy alone is insufficient to restore cognitive function. Motor scores remained unchanged.
Buckling of steel plates at elevated temperatures: Theory of perfect plates vs finite element analysis

The local buckling capacity of fire exposed thin-walled steel cross sections is affected by the reduction in strength and stiffness due to elevated temperatures and the amplitude of the initial local imperfections. Several researchers have proposed design methods to calculate the capacity of the plates (i.e. web and flanges) that compose these steel members at elevated temperatures, but they used different shapes of steel plates (sides ratio a/b) and different amplitudes of local imperfections. This variability in hypotheses happens because there is no clear provision defining the numerical modeling procedure for fire design of steel plates in the codes (European or US). According to the theory of perfect plates, the critical load depends of the shape of the rectangular plate (e.g. the sides ratio a/b) and the corresponding buckling mode (number of half waves), the boundary and the loading conditions. This paper reviews the existing code provisions and compares the existing design models and their assumptions for thin-walled steel cross sections. Elements of the theory of perfect plates are presented. Parametric finite element analyses are then conducted on isolated steel plates at elevated temperatures to investigate the effect of the plate shape (a/b ratio) and imperfections (amplitude and number of half wave lengths). From the analysis, the governing parameter will be estimated (a/b vs imperfections) for simulation of isolated flanges and webs. Finally, recommendations for the numerical modeling of steel plates at elevated temperatures are
Towards noninvasive bioimpedance sensor design based on wide bandwidth ring resonator

Miniature and noninvasive sensors play a major role in healthcare, by monitoring vital health parameters in real time. Furthermore, energy efficiency is an important issue in human-centric embedded systems. In this paper we describe a new approach for a contact-less bioimpedance measurement. The basic idea stems from the permittivity measurement of electronic circuit substrate. A common procedure in this case is to design and fabricate a substrate with a given resonator structure where the dielectric constant can be calculated from the measured resonant frequency and known resonator geometry and substrate thickness. Similar principle can be employed for bioimpedance measurement. The resonator can be designed such that the resonant frequency lies within the responsive range of the target tissue where the resonant frequency changes are highest following physiological processes. The changed value of the frequency reflects the dielectric properties of the target object. The measured frequency thus implicitly reflects biological and physiological processes within the target object. Some preliminary experiments are described in this paper.
A Low Cost Hierarchy-Awareness Extension of Skip Graph for World-Wide Range Retrievals

The rapid development of crowd sensing and cloud computing makes it possible to build world wide Cyber Physical Systems (CPS). Range queriable P2P overlay technologies are considered as promising candidate for realizing some important functionalities of CPS, for example, retrieval based on the properties of sensors. However, it is difficult to build world wide systems with existing range queriable P2Ps efficiently as the lack of proximity awareness. In this paper, we propose the hierarchical neighbor selection (HNS) mechanism for range queriable P2P overlays, which can integrate the hierarchy of physical Internet into overlay construction and routing to improve the performance. We also implement HNS based on Skip Graph (SG), an efficient range queriable P2P technology. With extensive simulations, we show that HNS based Skip Graph (HSG) can improve the routing latency and locality significantly with little overhead.
Indexing Variation Graphs

Variation graphs, which represent genetic variation within a population, are replacing sequences as reference genomes. Path indexes are one of the most important tools for working with variation graphs. They generalize text indexes to graphs, allowing one to find the paths matching the query string. We propose using de Bruijn graphs as path indexes, compressing them by merging redundant subgraphs, and encoding them with the Burrows-Wheeler transform. The resulting fast, space-efficient, and versatile index is used in the variation graph toolkit vg.
Why Older People Move

The theory of elderly migration lags well behind the state of empirical knowledge. Further development is needed to integrate present findings and direct future research. The intent of this article is to stimulate theory development and to suggest ways in which such development might proceed. Two conceptual models are presented: One is a behavioral model which views the migration process as a staged set of interrelated decisions; the second is a typology of migration which includes involvement motivations, migrant characteristics, and migration outcomes. Also discussed are numerous suggestions for further research.
Fibroblast growth factor‐2 deficiency causes defects in adult hippocampal neurogenesis, which are not rescued by exogenous fibroblast growth factor‐2

Neurogenesis within the adult brain is restricted to selected areas, one of which is the dentate gyrus (DG). Several growth factors have been reported to affect neurogenesis in the adult DG. However, a role of fibroblast growth factor‐2 (FGF‐2) in adult hippocampal neurogenesis has not been firmly established. We have analyzed neurogenesis in the DG using in vivo and in vitro approaches. FGF‐2–/– mice revealed no alterations in the number of proliferating cells but a significant decrease in the numbers of newly generated neurons. Moreover, FGF‐2 added to hippocampal slice cultures from FGF‐2–/– mice was unable to rescue the phenotype. Although an increase in death of neurogenic cells in the FGF‐2‐deficient DG could not be specifically demonstrated, there was a massive increase in global cell death in FGF‐2–/– hippocampal slice cultures compared with slices from wild‐type mice. Cell death could not be prevented by addition of FGF‐2. Neutralization of endogenous FGF‐2 in hippocampal slices did not interfere with neurogenesis in a short‐term paradigm. Together, our data suggest that FGF‐2 is essentially required for maturation of new neurons in adult hippocampal neurogenesis but is likely to operate synergistically in combination with other mechanisms/growth factors. © 2011 Wiley‐Liss, Inc.
Bounding Sequence Extremal Functions with Formations

An $(r, s)$-formation is a concatenation of $s$ permutations of $r$ letters. If $u$ is a sequence with $r$ distinct letters, then let $\mathit{Ex}(u, n)$ be the maximum length of any $r$-sparse sequence with $n$ distinct letters which has no subsequence isomorphic to $u$. For every sequence $u$ define $\mathit{fw}(u)$, the formation width of $u$, to be the minimum $s$ for which there exists $r$ such that there is a subsequence isomorphic to $u$ in every $(r, s)$-formation. We use $\mathit{fw}(u)$ to prove upper bounds on $\mathit{Ex}(u, n)$ for sequences $u$ such that $u$ contains an alternation with the same formation width as $u$. We generalize Nivasch's bounds on $\mathit{Ex}((ab)^{t}, n)$ by showing that $\mathit{fw}((12 \ldots l)^{t})=2t-1$ and $\mathit{Ex}((12\ldots l)^{t}, n) =n2^{\frac{1}{(t-2)! }\alpha(n)^{t-2}\pm O(\alpha(n)^{t-3})}$ for every $l \geq 2$ and $t\geq 3$, such that $\alpha(n)$ denotes the inverse Ackermann function. Upper bounds on $\mathit{Ex}((12 \ldots l)^{t} , n)$ have been used in other papers to bound the maximum number of edges in $k$-quasiplanar graphs on $n$ vertices with no pair of edges intersecting in more than $O(1)$ points. If $u$ is any sequence of the form $a v a v' a$ such that $a$ is a letter, $v$ is a nonempty sequence excluding $a$ with no repeated letters and $v'$ is obtained from $v$ by only moving the first letter of $v$ to another place in $v$, then we show that $\mathit{fw}(u)=4$ and $\mathit{Ex}(u, n) =\Theta(n\alpha(n))$. Furthermore we prove that $\mathit{fw}(abc(acb)^{t})=2t+1$ and $\mathit{Ex}(abc(acb)^{t}, n) = n2^{\frac{1}{(t-1)! }\alpha(n)^{t-1}\pm O(\alpha(n)^{t-2})}$ for every $t\geq 2$.
Non-Negative Inductive Matrix Completion for Discrete Dyadic Data

We present a non-negative inductive latent factor model for binary- and count-valued matrices containing dyadic data, with side information along the rows and/or the columns of the matrix. The side information is incorporated by conditioning the row and column latent factors on the available side information via a regression model. Our model can not only perform matrix factorization and completion with side-information, but also infers interpretable latent topics that explain/summarize the data. An appealing aspect of our model is in the full local conjugacy of all parts of the model, including the main latent factor model, as well as for the regression model that leverages the side information. This enables us to design scalable and simple to implement Gibbs sampling and Expectation Maximization algorithms for doing inference in the model. Inference cost in our model scales in the number of nonzeros in the data matrix, which makes it particularly attractive for massive, sparse matrices. We demonstrate the effectiveness of our model on several real-world data sets, comparing it with state-of-the-art baselines.
STAT signaling in the pathogenesis and treatment of myeloid malignancies

STAT transcription factors play a critical role in mediating the effects of cytokines on myeloid cells. As STAT target genes control key processes such as survival, proliferation and self-renewal, it is not surprising that constitutive activation of STATs, particularly STAT3 and STAT5, are common events in many myeloid tumors. STATs are activated both by mutant tyrosine kinases as well as other pathogenic events, and continued activation of STATs is common in the setting of resistance to kinase inhibitors. Thus, the targeting of STATs, alone or in combination with other drugs, will likely have increasing importance for cancer therapy.
Sherali-Adams relaxations and indistinguishability in counting logics

Two graphs with adjacency matrices A and B are isomorphic if there exists a permutation matrix P for which the identity PTAP = B holds. Multiplying through by P and relaxing the permutation matrix to a doubly stochastic matrix leads to the linear programming relaxation known as fractional isomorphism. We show that the levels of the Sherali-Adams (SA) hierarchy of linear programming relaxations applied to fractional isomorphism interleave in power with the levels of a well-known color-refinement heuristic for graph isomorphism called the Weisfeiler-Lehman algorithm, or equivalently, with the levels of indistinguishability in a logic with counting quantifiers and a bounded number of variables. This tight connection has quite striking consequences. For example, it follows immediately from a deep result of Grohe in the context of logics with counting quantifiers, that a fixed number of levels of SA suffice to determine isomorphism of planar and minor-free graphs. We also offer applications both in finite model theory and polyhedral combinatorics. First, we show that certain properties of graphs, such as that of having a flow-circulation of a prescribed value, are definable in the infinitary logic with counting with a bounded number of variables. Second, we exploit a lower bound construction due to Cai, Fürer and Immerman in the context of counting logics to give simple explicit instances that show that the SA relaxations of the vertex-cover and cut polytopes do not reach their integer hulls for up to Ω(n) levels, where n is the number of vertices in the graph.
Experimental Research on Flotation Separation of a Kyanite Rough Concentrate in Hebei Province

Kyanite is a kind of andalusite minerals, with good refractory. In nature, it existed together with mica, quartz etc, so it is necessary to purify. Garnet kyanite schist in Hebei province as the raw ore was separated in this paper, on the basement of high intensity magnetic separation and gravity to demilish impurities, obtain kyanite rude concentrate, by proceed a series of flotation condition test research, through six- concentrate reelection, getting the flotation concentrate with grade of 56.16%,the productivity of 12.09%,the recovery of 36.82%. Meanwhile, the reason of the low concentrate grade was analysed, and the suggestion was given to deal with kyanite concentrate in the next step. It provided foundation date for the developing of kyanite separation.
The avian tectobulbar tract: development, explant culture, and effects of antibodies on the pattern of neurite outgrowth

The tectobulbar tract is the first long-distance projecting fiber pathway to appear during the development of the avian optic tectum (dorsal half of the mesencephalon). Immunologically stained wholemounts of the E3 mesencephalon reveal that the early tectobulbar axons course in a dorsal-to-ventral direction and abruptly turn in a caudal direction shortly before reaching the ventral midline. During subsequent development, more tectobulbar axons are generated that form a parallel array of thick fascicles coursing ventrally within the mesencephalon. At this later stage of development, the tectobulbar tract bifurcates into an ipsilateral and contralateral pathway, both growing in a caudal direction near the mesencephalic ventral midline. Bifurcation and change in direction of growth is accompanied by a complete loss of the fasciculated growth pattern. Each tectobulbar axon is thus divided into a proximal fasciculated and a distal unfasciculated segment. Tectobulbar fascicles occupy the most superficial surface layer of the mesencephalon at early stages and are displaced deeper into the tissue beginning at embryonic day 5. In both of these locations, tectobulbar axons express molecules involved in axon-axon and axon-substrate interactions like the G4 antigen, neural cell adhesion molecule (N-CAM), neurofascin, and T61 antigen as revealed by immunohistochemistry and immunoblotting. Stripes of the mesencephalon explanted onto a basal lamina substratum show vigorous outgrowth of neurites. These processes grow in fascicles at a growth rate of 40 microns/h. Staining of the neurites with specific antibodies, as well as the position of the retrogradely labeled cell bodies, is in agreement with these processes being tectobulbar axons. This in vitro explant system was used to investigate the expression and possible functional involvement of N-CAM, neurofascin, G4 protein, and T61 antigen in the growth of these axons. The presence of antigen- binding fragments of polyclonal anti-G4 antibodies completely blocks fasciculation of the neurites but has no influence on their rate of elongation. Antibodies against N-CAM and neurofascin have no detectable effects. The number and length of the in vitro growing axons are reduced by the monoclonal T61 antibody. This effect is reversible. The elucidation of the exact course in vivo and the accessibility to the axons growing in vitro make the tectobulbar tract an excellent model system for the investigation of the role of these and other proteins in axonal growth and guidance during the development of the CNS.
A general framework for multigrid methods for mortar finite elements

In this paper, a general framework for the analysis of multigrid methods for mortar finite elements is considered. The numerical realization is based on the algebraic saddle point formulation arising from the discretization of second order elliptic equations on nonmatching grids. Suitable discrete Lagrange multipliers on the interface guarantee weak continuity and an optimal discretization scheme. In particular, the mortar method is applied on the coupling of conforming and nonconforming discretizations in case of scalar diffusion problems and linear elasticity in 2D. In contrast to earlier works, no exact solver for a modified Schur complement is required. Numerical results demonstrate the efficiency and reliability of the multigrid method.
Adaptive beam tracking for interference alignment for multiuser time-varying MIMO interference channels

The problem of interference alignment in time-varying MIMO interference channels is considered. To reduce complexity, an adaptive algorithm for beam vector design is proposed based on our previous work of least squares approach to beam design for interference alignment and matrix perturbation theory. The proposed algorithm calculates interference-aligning beam vectors by additive update of the previous value and reduces complexity significantly. Numerical results are provided to validate the proposed algorithm. It is shown that the proposed adaptive algorithm yields almost the same performance as a non-adaptive method that calculates interference-aligning beam vectors at every time step.
Comparative Analysis of Antigen Loading Strategies of Dendritic Cells for Tumor Immunotherapy

Dendritic cells (DCs) loaded with antigens can effectively stimulate host immune responses to syngeneic tumors, but there is considerable controversy as to which forms of antigen-loading are most immunogenic. Here, the authors compared immunotherapeutic reactivities of DCs loaded with a variety of antigen preparations. Because DC maturation stages affect their capacities of antigen processing and presentation, two DC populations were used for the current analysis: in vivo Flt-3 ligand-induced mature DCs and in vitro bone marrow-derived DCs, which were less mature. To facilitate a direct comparison, the LacZ gene-transduced B16 melanoma model system was used, where β-galactosidase served as the surrogate tumor-rejection antigen. DC loading strategies included pulsing with the β-galactosidase protein, H-2Kb restricted peptide, tumor cell lysate, and irradiated tumor cells and fusion of DCs with tumor cells. Our results demonstrated that electrofusion of DCs and tumor cells generated a therapeutic vaccine far superior to other methods of DC loading. For the treatment of 3-day established pulmonary tumor nodules, a single intranodal vaccination plus IL-12 resulted in a significant reduction of metastatic nodules, while other DC preparations were only marginally effective. Immunotherapy mediated by the fusion cells was tumor antigen-specific. Consistent with their therapeutic activity, fusion hybrids were the most potent stimulators to induce specific IFN-γ secretion from immune T cells. Furthermore, fusion cells also stimulated a small amount of IL-10 production from immune T cells. However, this IL-10 secretion was also induced by other DC preparations and did not correlate with in vivo therapeutic reactivity.
The overlap model: a model of letter position coding.

Recent research has shown that letter identity and letter position are not integral perceptual dimensions (e.g., jugde primes judge in word-recognition experiments). Most comprehensive computational models of visual word recognition (e.g., the interactive activation model, J. L. McClelland & D. E. Rumelhart, 1981, and its successors) assume that the position of each letter within a word is perfectly encoded. Thus, these models are unable to explain the presence of effects of letter transposition (trial-trail), letter migration (beard-bread), repeated letters (moose-mouse), or subset/superset effects (faulty-faculty). The authors extend R. Ratcliff's (1981) theory of order relations for encoding of letter positions and show that the model can successfully deal with these effects. The basic assumption is that letters in the visual stimulus have distributions over positions so that the representation of one letter will extend into adjacent letter positions. To test the model, the authors conducted a series of forced-choice perceptual identification experiments. The overlap model produced very good fits to the empirical data, and even a simplified 2-parameter model was capable of producing fits for 104 observed data points with a correlation coefficient of . 91.