Miracle-dz/UniFAR-FTUs huggingface dataset:
A Scalable Feedback Mechanism for Distributed Nullforming With Phase-Only Adaptation

This paper considers a problem of distributed nullforming, in which multiple wireless transmitters steer a null toward a designated receiver by only adjusting their carrier phases. Since each transmitter transmits at full power, the system maximizes “power pooling” gains for cooperative communication or jamming, while simultaneously protecting a designated receiver. Analysis in a noiseless setting shows that, while the received power at the designated receiver, as a function of the transmitted phases, is nonconvex with multiple critical points, all of its local minima are also global minima. This implies that a null can be formed using a distributed, scalable protocol based on gradient descent: each transmitter adapts its phase based only on aggregate feedback broadcast by the receiver (so that feedback overhead does not increase with the number of transmitters), along with an estimate of its own channel gain (which can be obtained, e.g., via reciprocity). Simulations show that the convergence rate actually improves with the number of transmitters, and that the algorithm is robust to noise, substantial channel estimation errors, and oscillator drift.
Intuitive visualization of gestures in expressive timing : A case study on the final ritard

Expressive timing is vital for the aesthetic quality that makes us appreciate performed music. It is a largely tacit skill that musicians acquire by practice. A long-standing intuition is that expressive timing is closely related to the concept of motion. This view leads naturally to the adoption of a dynamical systems approach to the study of expressive timing. A well-known visualization technique from dynamical systems theory is the phase-plane representation. The application of this technique, that highlights the dynamic aspects of the data, is demonstrated in a case study on the final ritard in performances of Schumann’s Träumerei. We argue that expressive gestures are visible in a clear and intuitive manner in the phase-plane representations. Another striking aspect of the phase-plane trajectories is their suggestion of human gestural motion.
AN AGENT-BASED SIMULATION MODEL FOR SUPPLY CHAIN COLLABORATIVE TECHNOLOGICAL INNOVATION DIFFUSION

Despite the wideness of the literature on technological innovation, the diffusion of the supply chain collaborative technology innovation has not still received much attention. This paper is an attempt to answer the question that how the supply chain collaborative technological innovations emerge and diffuse. An agent-based model of collaborative supply chain technological innovation including the supplier agents, manufacture agents and customer agents is established in this paper, and the simulation experiments are conducted in terms of two kinds of the competitive technology innovation diffusion process under four scenarios. The results show that the supply chain collaborative supply chain technological innovation diffusion is different from the traditional technology innovation diffusion, and the relationship between suppliers and manufacturers has important influence on diffusion speed and efficiency. (Received, processed and accepted by the Chinese Representative Office.)
Inflammatory, Metabolic, and Genetic Mechanisms of Vascular Calcification

This review centers on updating the active research area of vascular calcification. This pathology underlies substantial cardiovascular morbidity and mortality, through adverse mechanical effects on vascular compliance, vasomotion, and, most likely, plaque stability. Biomineralization is a complex, regulated process occurring widely throughout nature. Decades ago, its presence in the vasculature was considered a mere curiosity and an unregulated, dystrophic process that does not involve biological mechanisms. Although it remains controversial whether the process has any adaptive value or past evolutionary advantage, substantial advances have been made in understanding the biological mechanisms driving the process. Different types of calcific vasculopathy, such as inflammatory versus metabolic, have parallel mechanisms in skeletal bone calcification, such as intramembranous and endochondral ossification. Recent work has identified important regulatory roles for inflammation, oxidized lipids, elastin, alkaline phosphatase, osteoprogenitor cells, matrix &ggr;-carboxyglutamic acid protein, transglutaminase, osteoclastic regulatory factors, phosphate regulatory hormones and receptors, apoptosis, prelamin A, autophagy, and microvesicles or microparticles similar to the matrix vesicles of skeletal bone. Recent work has uncovered fascinating interactions between matrix &ggr;-carboxyglutamic acid protein, vitamin K, warfarin, and transport proteins. And, lastly, recent breakthroughs in inherited forms of calcific vasculopathy have identified the genes responsible as well as an unexpected overlap of phenotypes. Until recently, vascular calcification was considered a purely degenerative, unregulated process. Since then, investigative groups around the world have identified a wide range of causative mechanisms and regulatory pathways, and some of the recent developments are highlighted in this review.
Psychological Effects of Ambient Illumination Control and Illumination Layout While Viewing Various Video Images

Recently enhancing the visual experience of the user has been a new trend for TV displays. This trend comes from the fact that changes of ambient illuminations while viewing a Liquid Crystal Display (LCD) significantly affect human impressions. However, psychological effects caused by the combination of displayed video image and ambient illuminations have not been investigated. In the present research, we clarify the relationship between ambient illuminations and psychological effects while viewing video image displayed on the LCD by using a questionnaire based semantic differential (SD) method and a factor analysis method. Six kinds of video images were displayed under different colors and layouts of illumination conditions and rated by 15 observers. According to the analysis, it became clear that the illumination control around the LCD with displayed video image, the feeling of ‘activity’ and ‘evaluating’ were rated higher than the feeling of fluorescent ceiling condition. In particular, simultaneous illumination control around the display and the ceiling enhanced the feeling of ‘activity,’ and ‘evaluating’ with keeping ‘comfort. ’ Moreover, the feeling of ‘activity’ under the illumination control around the LCD and the ceiling condition while viewing music video image was rated clearly higher than that with natural scene video image.
Transport of Storage Proteins to Protein Storage Vacuoles Is Mediated by Large Precursor-Accumulating Vesicles

Novel vesicles that accumulate large amounts of proprotein precursors of storage proteins were purified from maturing pumpkin seeds. These vesicles were designated precursor-accumulating (PAC) vesicles and had diameters of 200 to 400 nm. They contained an electron-dense core of storage proteins surrounded by an electron-translucent layer, and some vesicles also contained small vesicle-like structures. Immunocytochemical analysis revealed numerous electrondense aggregates of storage proteins within the endoplasmic reticulum. It is likely that these aggregates develop into the electron-dense cores of the PAC vesicles and then leave the endoplasmic reticulum. Immunocytochemical analysis also showed that complex glycans are associated with the peripheral region of PAC vesicles but not the electron-dense cores, indicating that Golgi-derived glycoproteins are incorporated into the PAC vesicles. These results suggest that the unique PAC vesicles might mediate a transport pathway for insoluble aggregates of storage proteins directly to protein storage vacuoles.
Risk Management of Human Behavior in IT Enterprises : A Survey of Current Approaches

Human issue is emerging as the one of the main difficulties in risk management of information security system. Especially for IT-related enterprises, this problem is hard to settle within traditional techniques. Traditional risk analysis often disregards the human behaviors in company business. As an investigation, this paper reflects on several risk analysis methods considering human factors, along with how they are being implemented. It presents several existing methods which are quantitative or qualitative based approaches designed for risk analysis of human factor in IT enterprises. There is a discussion about the survey following, it narrates the comparison among these methods with their application features. Finally it illuminates the limitation or incompletion of these methods and prospects the future in this field.
NOISE TOLERANT LEARNING USING EARLY PREDICTORS

Generalization in most PAC learning analysis starts around O (d) examples, where d = V Cdim of the class. Nevertheless, analysis of learning curves using statistical mechanics shows much earlier generalization [7]. Here we introduce a gadget called Early Predictor, which exists if somewhat better than random prediction of the label of an arbitrary instance can be obtained from labels of O (log d) random examples. We were able to show that by taking a majority vote over a committee of Early Predictors, strong and efficient learning is obtained. Moreover, this learning procedure is robust to persistent classification noise. The margin analysis of the vote is used to explain this result. We also compare the suggested method to Bagging [11] and Boosting [5] and connect it to the SQ model [10]. A concrete example of Early Predictor is constructed for learning linear separators under uniform distribution. In this context we should mention the hardness result by Bartlett and
Segmented Addressing Solves the Virtual Cache Synonym Problem

If one is interested solely in processor speed, one must use virtuallyindexed caches. The traditional purported weakness of virtual caches is their inability to support shared memory. Many implementations of shared memory are at odds with virtual caches—ASID aliasing and virtual-address aliasing (techniques used to pro vide shared memory) can cause false cache misses and/or give rise to data inconsistencies in a virtual cache, but are necessary features of man y virtual memory implementations. By appropriately using a se gmented architecture one can solve these problems. In this tech report we describe a virtual memory system developed for a se gmented microarchitecture and present the following benefits derived from such an organization: (a) the need to flush virtual caches can be eliminated, (b) virtual cache consistency management can be eliminated, (c) page table space requirements can be cut in half by eliminating the need to replicate page table entries for shared pages, and (d) the virtual memory system can be made less complex because it does not have to deal with the virtual-cache synonym problem.
A subworld-parallel multiplication and sum-of-squares unit

Several recent digital signal processors, multimedia processors, and general-purpose processors with multimedia extensions support subword parallelism. With subword parallelism, each operand is partitioned into multiple lower-precision operands, called subwords. A single subword-parallel instruction performs the same operation on multiple sets of subwords in parallel. This paper presents the design of a subword-parallel multiplication and sum-of-squares unit (SPMSSU). The SPMSSU uses novel subword partitioning and partial product mapping techniques to perform one 32-bit, two 16-bit, or four 8-bit multiplications or sum-of-squares operations in parallel. The SPMSSU efficiently performs subword-parallel operations with area and delay estimates that are comparable to those of a conventional 32-bit multiplier.
Genetics of Bladder-Exstrophy-Epispadias Complex (BEEC): Systematic Elucidation of Mendelian and Multifactorial Phenotypes

The Bladder-Exstrophy-Epispadias Complex (BEEC) represents the severe end of the uro-rectal malformation spectrum, and has a profound impact on continence, and on sexual and renal function. While previous reports of familial occurrence, in-creased recurrence among first-degree relatives, high concordance rates among monozygotic twins, and chromosomal aberra-tions were suggestive of causative genetic factors, the recent identification of copy number variations (CNVs), susceptibility regions and genes through the systematic application of array based analysis, candidate gene and genome-wide association studies (GWAS) provide strong evidence. These findings in human BEEC cohorts are underscored by the recent description of BEEC(-like) murine knock-out models. Here, we discuss the current knowledge of the potential molecular mechanisms, mediating abnormal uro-rectal development leading to the BEEC, demonstrating the importance of ISL1-pathway in human and mouse and propose SLC20A1 and CELSR3 as the first BEEC candidate genes, identified through systematic whole-exome sequencing (WES) in BEEC patients.
Fe b 20 05 DAMTP-2005-18 A topological gauged sigma-model

We describe a topological field theory that studies the moduli space of solutions of the symplectic vortex equations. It contains as special cases the topological sigmamodel and topological Yang-Mills over Kähler surfaces. The correlation functions of the theory are closely related to the recently introduced Hamiltonian Gromov-Witten invariants. e-mail address: J.M. Baptista@damtp.cam. ac.uk address: Wilberforce Road, Cambridge CB3 0WA, England
A BSDE arising in an exponential utility maximization problem in a pure jump market model

We consider the problem of utility maximization with exponential preferences in a market where the traded stock/risky asset price is modelled as a Lévy-driven pure jump process (i.e. the driving Lévy process has no Brownian component). In this setting, we study the terminal utility optimization problem in the presence of a European contingent claim. We consider in detail the backward stochastic differential equation (BSDE) characterizing the value function when using an exponential utility function. First we analyze the well-definedness of the generator. This leads to some conditions on the market model related to conditions for the market to admit no free lunches. Then we give bounds on the candidate optimal strategy. Thereafter, we discuss the example of a cross-hedging problem and, under severe assumptions on the structure of the claim, we give explicit solutions. Finally, we establish an explicit solution for a related BSDE with a suitable terminal condition but a simpler generator.
Learning a Multi-camera Topology

We report an investigation to determine the topology of an arbitrary network of video cameras observing an environment. The topology is learnt in an unsupervised manner by temporal correlation of objects transiting between adjacent camera viewfields. We extract this information in two steps, firstly identifying the principal entry and exit zones associated with each camera view, and then establishing the correspondence or links between the exit zones of one camera to the entry zones of an adjacent one by accumulating evidence from many trajectory observations. A significant benefit of the method is that it doesn’t rely on establishing correspondence between trajectories. In addition to generating the topological structure, the method also results in a measure of inter-camera transition times, which can be used to support predictive tracking across the camera network.
1 A Control Theoretic Approach to Metabolic Control Analysis 1

The goal of the tutorial is to introduce Systems Biologists to the application of control theory to biology. The tools of systems and control theory have been instrumental in the successful design of countless man-made complex systems. Biologists, who are trying to reverse engineer complex living networks, can benefit from the insights this theory can provide into the design of biological systems. Of particular importance is understanding the role of feedback control in ensuring the robust behavior of biological processes subjected to internal and external disturbances. The intended audience is the general Systems Biology community. We will not assume technical knowledge beyond what a typical biologist would be exposed to as an undergraduate and graduate student. Relevant biological examples will be used to give a feel for more abstract concepts, followed up by mathematical explanations that are presented in detail in the handouts. Prerequisites: understanding of chemical and enzyme kinetics, familiarity with ordinary differential equations and linear algebra.
Evaluation of Ecological Interface Design for Nuclear Process Control: Situation Awareness Effects

Objective: We determine whether an ecological interface display for nuclear power plant operations supports improved situation awareness over traditional and user-centered displays in a realistic environment. Background: Ecological interface design (EID) has not yet been fully evaluated with real operators facing realistic scenarios. Method: Ecological displays were evaluated alongside traditional and user-centered “advanced” displays in a full-scope nuclear power plant simulation. Licensed plant operators used the displays in realistic scenarios that either had procedural support or did not have procedural support. All three displays were evaluated for their ability to support operator situation awareness. Results: A significant three-way interaction effect was observed on two independent measures of situation awareness. For both measures, ecological displays improved situation awareness in scenarios that did not have procedural support, primarily in the detection phases of those scenarios. No other pronounced effects appeared across both measures. Conclusions: The observed improvement was sufficiently large to suggest that EID could improve situation awareness in situations where procedures are unavailable. However, the EID displays did not lead to improved situation awareness in the other conditions of the evaluation, and participants using these displays occasionally underperformed on single measures of situation awareness. This suggests that the approach requires further development, particularly in integrating EID with procedural support. Application: This research has important findings for the ongoing development of the EID approach, the design of industrial operator displays, and design to support situation awareness.
Interactions between geometry and mechanical properties on the optic nerve head.

PURPOSE To determine the relative strength, independently and in interaction, of the influence of factors representing the geometry and mechanical properties on the IOP-induced stresses and strains within the optic nerve head (ONH). METHODS A computational model of the eye was developed such that 21 factors could be varied independently or simultaneously. A fractional factorial screening analysis was used to identify the factors and interactions with the largest influences on the lamina cribrosa (LC) and prelaminar neural tissue (PLNT). RESULTS Nine factors and their interactions accounted for the majority of the variance in the responses (between 95% and 99.8%). These factors were: the properties of the sclera (modulus, eye radius, and shell thickness), LC (modulus and radius), PLNT (modulus and compressibility), and optic nerve (modulus), and IOP. The interactions were stronger on the PLNT than on the LC (up to 16.4% and 9.0% of the response variances, respectively). No factor was the most influential on all the responses or sufficient to ensure high or low levels of strain or stress. Although the modulus of the sclera was among the most influential factors, its effects could be outweighed by other factors. CONCLUSIONS There were strong interactions between and within the geometry and mechanical properties of the tissues of the ONH. This suggests that to ascertain individual susceptibility to IOP it may be necessary to determine several properties of the eye, as well as their interactions. The influential factors and their covariances should be better characterized.
C Terminus of Clostridium perfringens Enterotoxin Downregulates CLDN4 and Sensitizes Ovarian Cancer Cells to Taxol and Carboplatin

Purpose: We have previously shown that CLDN4 (encoding claudin-4), a cell tight junction (TJ) protein, is highly expressed in human epithelial ovarian carcinomas (EOC) but undetectable in normal ovaries. CLDN4 has been identified as a specific receptor for C terminus of Clostridium perfringens enterotoxin (C-CPE), a nontoxic molecule that may disrupt TJ barrier function and enhance cellular absorption. The purpose of this study was to determine the potential clinical applications of C-CPE and its effects on CLDN4 expression in EOC. Experimental Design: Using a 3-dimensional culture model and monolayer culture of EOC cells, we examined the effects of C-CPE on CLDN4 expression by quantitative real-time PCR, immunofluorescence, and Western blot. The synergistic effect of C-CPE to clinically relevant chemotherapies (Taxol and Carboplatin) was observed in EOC culture and xenograft mice. Furthermore, we determined through oligonucleotide microarray analysis that the transcript profile alterations dysregulated as a consequence of C-CPE treatment. Results: C-CPE treatment decreased protein expression and relocated CLDN4 from cell–cell contact regions to the cytoplasm. Particularly, C-CPE sensitized EOC cells to chemotherapeutic administration at low dosages and significantly inhibited tumor growth in a nontoxic manner. Furthermore, we provided genome-wide molecular evidence that C-CPE treatment is involved in the stimulation of the ubiquitin–proteasome pathway and the inhibition of cell metabolism in EOC cells. Conclusions: The addition of C-CPE can enhance the effectiveness of Taxol or Carboplatin and significantly inhibited EOC cell growth in a CLDN4-dependent manner, suggesting that C-CPE may have promising therapeutic potential for EOC. Clin Cancer Res; 17(5); 1065–74. ©2010 AACR.
Solar Models with Revised Abundances and Opacities

Using reconstructed opacities, we construct solar models with low heavy-element abundance. Rotational mixing and enhanced diffusion of helium and heavy elements are used to reconcile the recently observed abundances with helioseismology. The sound speed and density of models in which the relative and absolute diffusion coefficients for helium and heavy elements have been increased agree with seismically inferred values at better than the 0.005 and 0.02 fractional levels, respectively. However, the surface helium abundance of the enhanced diffusion model is too low. The low-helium problem in the enhanced diffusion model can be solved to a great extent by rotational mixing. The surface helium and the convection zone depth of rotating model M04R3, which has a surface Z of 0.0154, agree with the seismic results at the levels of 1 σ and 3 σ, respectively. M04R3 is almost as good as the standard model M98. Some discrepancies between the models constructed in accord with the new element abundances and seismic constraints can be solved individually, but it seems difficult to resolve them as a whole.
Shadow Detecting Using Mathematical Morphology and Smirnov Test

An algorithm combining intensity information and geometric features is introduced in order to detect cast shadows in a gray level image. A simple connected candidate shadow region and a corresponding region are selected by setting gray level thresholds, and neighbor-matching regions are constructed with mathematical morphological algorithm. Shadow-non-shadow region pair is obtained from the result of Smirnov test for statistical features of candidate neighbor-matching region pairs, thus shadow regions are detected by selecting one with relatively lower intensity average from the matched two regions. Experimental results show the effectiveness of the algorithm for cast shadow detecting in gray level images.