Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Geo-Indistinguishable Mechanisms for Location Privacy

We consider the geo-indistinguishability approach to location privacy, and the trade-off with respect to utility. We show that, given a desired degree ofgeo-indistinguishability, it is possible to construct a mechanism that minimizes the service quality loss, using linear programming techniques. In addition we show that, under certain conditions, such mechanism also provides optimal privacy in the sense of Shokri et al. Furthermore, we propose a method to reduce the number of constraints of the linear program from cubic to quadratic, maintaining the privacy guarantees and without affecting significantly the utility of the generated mechanism. This reduces considerably the time required to solve the linear program, thus enlarging significantly the location sets for which the optimal mechanisms can be computed.
Characterization of Transparent Conducting Oxides

As the areas of the major applications of transparent conducting oxides (TCOs) increase, demand will grow for materials having lower sheet resistance while retaining good optical properties. Simply increasing the film thickness is not acceptable because this would increase the optical absorptance. New materials must be developed with lower resistivities than previously achieved and with optical properties superior to those of the present generation of TCOs. This has now been recognized internationally, and novel materials are being investigated in Japan and the United States.
Learning Curves: Asymptotic Values and Rate of Convergence

Training classifiers on large databases is computationally demanding. It is desirable to develop efficient procedures for a reliable prediction of a classifier's suitability for implementing a given task, so that resources can be assigned to the most promising candidates or freed for exploring new classifier candidates. We propose such a practical and principled predictive method. Practical because it avoids the costly procedure of training poor classifiers on the whole training set, and principled because of its theoretical foundation. The effectiveness of the proposed procedure is demonstrated for both single- and multi-layer networks.
Introducing crossmodal biometrics: Person identification from distinct audio & visual streams

Person identification using audio or visual biometrics is a well-studied problem in pattern recognition. In this scenario, both training and testing are done on the same modalities. However, there can be situations where this condition is not valid, i.e. training and testing has to be done on different modalities. This could arise, for example, in covert surveillance. Is there any person specific information common to both the audio and visual (video-only) modalities which could be exploited to identify a person in such a constrained situation? In this work, we investigate this question in a principled way and propose a framework which can perform this task consistently better than chance, suggesting that such crossmodal biométrie information exists.
Stress Analysis of Laminated Glass under Uniform Lateral Pressure

The shear modulus of PVB and SGP interlayer is analyzed. With the same conditions of load duration and temperature, the shear modulus of SGP interlayer is about fifteen times than that of PVB interlayer. A finite element model of laminated glass is established in this paper. The simulation results show that the maximum principal stress contours of PVB laminated glass change from a circular to a petal-shaped one and those of SGP laminated glass change form a quadrangular to a square-shaped one when the temperature rises from 20 degrees Celsius to 50 degrees Celsius.
A multiprocessor implementation of the total bandwidth server

Summary form only given. If a periodic task system is scheduled upon an identical multiprocessor platform using the earliest deadline first scheduling algorithm, it is known that the "schedulable utilization" - the largest bound such that any periodic task system with cumulative utilization no larger than this bound is guaranteed to be successfully scheduled - is strictly less than the capacity of the platform. The issue of using the excess processing capacity (the difference between the platform capacity and the schedulable utilization) is addressed here, and an algorithm is presented, and proven correct, that uses this excess capacity to provide guaranteed real-time service to aperiodic jobs.
Processing XML streams with deterministic automata and stream indexes

We consider the problem of evaluating a large number of XPath expressions on a stream of XML packets. We contribute two novel techniques. The first is to use a single Deterministic Finite Automaton (DFA). The contribution here is to show that the DFA can be used effectively for this problem: in our experiments we achieve a constant throughput, independently of the number of XPath expressions. The major issue is the size of the DFA, which, in theory, can be exponential in the number of XPath expressions. We provide a series of theoretical results and experimental evaluations that show that the lazy DFA has a small number of states, for all practical purposes. These results are of general interest in XPath processing, beyond stream processing. The second technique is the Streaming IndeX (SIX), which consists of adding a small amount of binary data to each XML packet that allows the query processor to achieve significant speedups. As an application of these techniques we describe the XML Toolkit (XMLTK), a collection of command-line tools providing highly scalable XML data processing.
First Class Constrained Systems and Twisting of Courant Algebroids by a Closed 4-Form

We show that in analogy to the introduction of Poisson structures twisted by a closed 3-form by Park and Klimcik-Strobl, the study of three dimensional sigma models with Wess-Zumino term leads in a likewise way to twisting of Courant algebroid structures by closed 4-forms H. The presentation is kept pedagogical and accessible to physicists as well as to mathematicians, explaining in detail in particular the interplay of field transformations in a sigma model with the type of geometrical structures induced on a target. In fact, as we also show, even if one does not know the mathematical concept of a Courant algebroid, the study of a rather general class of 3-dimensional sigma models leads one to that notion by itself. Courant algebroids became of relevance for mathematical physics lately from several perspectives - like for example by means of using generalized complex structures in String Theory. One may expect that their twisting by the curvature H of some 3-form Ramond-Ramond gauge field will become of relevance as well.
Coefficients of inverse functions in a nested class of starlike functions of positive order.

In the present paper we find the estimates on the n coefficients in the Maclaurin’s series expansion of the inverse of functions in the class Sδ(α), (0 ≤ δ < ∞, 0 ≤ α < 1), consisting of analytic functions f(z) = z + ∑∞ n=2 anz n in the open unit disc and satisfying ∑∞ n=2 n δ ( n−α 1−α ) |an| ≤ 1. For eachn these estimates are sharp when α is close tozero or one andδ is close tozero. Further for the second, third and fourth coefficients the estimates are sharp for every admissible values of α andδ.
Effects of Graphite Mold on Cooling Process of Fused AZS 33# Refractory

This study analyzed effects of different thickness(TH) and thermal conductivity of graphite mold on temperature, liquid phase percentage and conductive heat flux, the cooling process of fused cast AZS 33# refractory could be simulated by using COMSOL Multiphysics software. The results show that: when the graphite mold thickness increased, surface center temperature and liquid phase area of casting decreased gradually, but conductive heat flux increased gradually, the cooling rate of casting increased, which were helpful to form fine crystals near the casting surface. When using conventional graphite mold, the optimum thickness was less than 40mm, while using the high thermal conductivity graphite mold, the optimum thickness was 50mm. So the rapid and homogeneous cooling process of casting could reduce the possibility of material crack and obtain fine crystals structure of material; comparing with conventional graphite mold, high thermal conductivity graphite mold was more beneficial to achieve uniform and fast cooling process to improve the performance and passing rate of products.
Rapid Analysis of Glycolytic and Oxidative Substrate Flux of Cancer Cells in a Microplate

Cancer cells exhibit remarkable alterations in cellular metabolism, particularly in their nutrient substrate preference. We have devised several experimental methods that rapidly analyze the metabolic substrate flux in cancer cells: glycolysis and the oxidation of major fuel substrates glucose, glutamine, and fatty acids. Using the XF Extracellular Flux analyzer, these methods measure, in real-time, the oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) of living cells in a microplate as they respond to substrates and metabolic perturbation agents. In proof-of-principle experiments, we analyzed substrate flux and mitochondrial bioenergetics of two human glioblastoma cell lines, SF188s and SF188f, which were derived from the same parental cell line but proliferate at slow and fast rates, respectively. These analyses led to three interesting observations: 1) both cell lines respired effectively with substantial endogenous substrate respiration; 2) SF188f cells underwent a significant shift from glycolytic to oxidative metabolism, along with a high rate of glutamine oxidation relative to SF188s cells; and 3) the mitochondrial proton leak-linked respiration of SF188f cells increased significantly compared to SF188s cells. It is plausible that the proton leak of SF188f cells may play a role in allowing continuous glutamine-fueled anaplerotic TCA cycle flux by partially uncoupling the TCA cycle from oxidative phosphorylation. Taken together, these rapid, sensitive and high-throughput substrate flux analysis methods introduce highly valuable approaches for developing a greater understanding of genetic and epigenetic pathways that regulate cellular metabolism, and the development of therapies that target cancer metabolism.
Preclinical Biocompatibility Assessment of Cardiovascular Devices

Bleeding and thromboembolism remain major complications of ventricular assist device (VAD) support. The amount of biocompatibility information that may be collected during preclinical studies is limited due to a lack of available assays, leaving the evaluation of investigational devices incomplete. To address these issues, flow cytometric assays were developed to quantify bovine circulating activated platelets, platelet microaggregates, platelet-leukocyte aggregates, and monocytes expressing tissue factor. Platelet lifespan was determined using an ex vivo biotinylation technique.These assays were applied in 50 animals receiving the Nimbus/Heartmate II axial flow VAD, 29 receiving the SunMedical EVAHEART centrifugal VAD, over 20 animals receiving a variety of other cardiovascular devices, and eight animals that underwent a sham VAD implantation procedure. The results demonstrated significantly increased circulating activated platelets and leukocytes, and cell aggregates following VAD implantation, which then usually declined to a lower but still significantly elevated level. Deviations from this pattern were observed in several pumps with obstructive thrombi in the blood flow path. Platelet life span decreased and platelet consumption correspondingly increased. The sham studies demonstrated that the effects of the implant procedure abated within three weeks. Thus, the ongoing platelet and leukocyte activation and aggregation, and decreased platelet life span could be attributed to the VADs, even while accounting for surgical effects.To identify the potential causes of the observed cellular activation, VAD surface modifications, revolutions per min increases, and anticoagulant regimen changes were evaluated in vivo. Two blood-shearing devices were constructed to investigate the effects of the supraphysiologic shear field within rotary VADs, although heat generation and sealing issues limited their effectiveness. Flow visualization of the Heartmate II VAD revealed vortices developed at low flow rates, frequently encountered in vivo.In conclusion, the propensity of cardiovascular devices to activate platelets and leukocytes was quantified, while accounting for the effects of the implant procedure. Through in vivo and in vitro investigations, it was demonstrated that the blood-contacting surface and adverse flow effects each contributed to the observed cellular activation. Thus, applying novel biocompatibility assays to preclinical studies, including those evaluating design enhancements and refinements, may be used to develop safer cardiovascular devices.
A Low-Operating-Voltage Wireless Intermediate-Range Scheme for Energy and Signal Transmission by Magnetic Coupling for Implantable Devices

The increasing sophistication and power demands of medical implantable devices have motivated a variety of research on wireless energy transmission, aiming to provide higher power capability, wider receiver position, and improved performance, including safety and efficiency. This paper demonstrates a low-operating-voltage wireless energy and signal transmission method to achieve these aims. We developed a 30-cm transmitting coil in a Helmholtz-coil configuration. Innovative coil segmentation and distributive resonance techniques are employed to substantially reduce the excitation voltage and the voltage over the coil. Magnetic field simulations show that the magnetic field generated by the scheme is uniform and applicable in a wide region bounded by the coils. The receiving coil has three turns and a diameter of 2 cm. The receiver can deliver 350 mW when the transmitting coil excitation is 1 Arms/6.68 Vrms and the maximum voltage over the coil is 32 Vrms, which is much lower than that required in the most up-to-date method (5 A/3.5 kV). This method can provide sufficient power to operate many kinds of medical implants, especially deep-seated and locomotive devices, such as capsule endoscopes. An operating frequency of 6.1 MHz is chosen. At such a high frequency, the receiving coil does not need ferromagnetic core so magnetic resonance imaging compatible implants can be accomplished.
HeteRecom: a semantic-based recommendation system in heterogeneous networks

Making accurate recommendations for users has become an important function of e-commerce system with the rapid growth of WWW. Conventional recommendation systems usually recommend similar objects, which are of the same type with the query object without exploring the semantics of different similarity measures. In this paper, we organize objects in the recommendation system as a heterogeneous network. Through employing a path-based relevance measure to evaluate the relatedness between any-typed objects and capture the subtle semantic containing in each path, we implement a prototype system (called HeteRecom) for semantic based recommendation. HeteRecom has the following unique properties: (1) It provides the semantic-based recommendation function according to the path specified by users. (2) It recommends the similar objects of the same type as well as related objects of different types. We demonstrate the effectiveness of our system with a real-world movie data set.
Learning Information-Gathering Procedures by Combined Demonstration and Instruction

Existing systems are able to learn information agents through demonstration that provide programmatic access to web-based information. However it is still difficult for end users to combine these information agents in procedures that are customized to their particular needs. We combine learning by demonstration with learning by instruction to build a system to learn such procedures with a small amount of human input. The instruction system relies on knowing the input-output types of the information agents in order to combine them. We make use a system that learns to predict the types from examples to simplify this part of the task. Our instruction system performs a search that has interesting similarities with proof search in explanationbased learning.
Needle Insertion Point and Orientation Optimization in Non-linear Tissue with Application to Brachytherapy

This paper presents a new method of optimizing the needle insertion point, heading and depth for needle insertion into deformable tissue. The goal is to minimize the distance between a number of specified targets and the needle. Assuming a rigid needle and a deformable tissue described by a finite element model, an iterative optimization method is proposed that uses the needle insertion simulation. At each iteration, the best fitted 3D line to the targets in the simulated deformed configuration is used as a candidate for the new insertion line in the next iteration. This method has been implemented in a prostate brachytherapy simulator to minimize seed misplacement errors. The targets are designed to lie on a straight line in the undeformed configuration inside the prostate. To increase the accuracy while simulating the prostate rotation, a non-linear model is used. The neo-Hookean material model is exploited to determine the effects of geometric and mechanical nonlinearities and compressibility effects. It is shown that the optimization algorithm converges in few iterations and decreases the targeting error effectively.
Association of Voltage-Gated Sodium Channel Genetic Polymorphisms with Oxaliplatin-Induced Chronic Peripheral Neuropathy in South Indian Cancer Patients

Oxaliplatin is a platinum drug active against digestive tract cancers. Among its side effects, peripheral neuropathy is one of the dose-limiting toxicities. This affects around 50 to 70% of patients but the pathophysiology of development of oxaliplatin-induced peripheral neuropathy (OXAIPN) remains unclear. Sodium channels (SCNAs) play major role in neuronal electrical signaling processes and mutations in SCNAs lead to various neuronal diseases involving the central and peripheral nervous systems. In this study, we evaluated whether SCNA genetic variants might be associated with risk of chronic OXAIPN in patients with digestive tract cancers treated with oxaliplatin. Methodology: Blood samples from 228 digestive tract cancer patients who had received oxaliplatin in adjuvant and neoadjuvant or metastatic settings were obtained and genomic DNA was extracted by phenol-chloroform extraction. Genotyping was performed with the real-time polymerase chain reaction (RT-PCR) using validated real-time TaqMan single nucleotide polymorphism (SNP) genotyping assays. Neuropathy was evaluated and graded according to National Cancer Institute Common Toxicity Criteria (NCI-CTC) version 4.03. Results: We found that the rs6746030 polymorphic variant of SCN9A was significantly associated with a higher incidence of chronic OXAIPN (GA+AA vs GG: OR=1.8, 95% CI=1.04-3.4, P=0.04; dominant model) while the rs6754031 variant was linked with a lower incidence (OR=0.45, 95% CI=0.22-0.77, P=0.005; dominant model). The SCN 10A polymorphic variant was associated with severity of chronic OXAIPN (P=0.006, OR=2.0, 95% CI=1.2 - 3.3). Conclusion: The results of the present prospective study provide evidence in support of a causal relationship between chronic OXAIPN and voltage gated sodium channel polymorphisms. However, further studies from independent groups are required to validate these results.
Regularity of fuzzy measures on complete and separable metric spaces

We shall study the regularity of continuous monotone non-additive measures defined on complete separable metric spaces. We prove that a finite continuous non-additive measures is tight, and furthermore, if it is weakly null-additive, then it possesses regularity. By using the regularity, we shall improve and generalized the Lusin theorem and the Egoroff theorem for continuous non-additive measures on metric spaces. We also show the mean approximation theorems in the sense of the Choquet integral and fuzzy integral, respectively. Some properties of atoms of regular non-additive measures are studied, and their characteristics on fuzzy integrals and the Choquet integrals are described.
Ink‐jet Printing and Microwave Sintering of Conductive Silver Tracks

Printing techniques, such as ink-jet printing, are interesting alternatives to conventional photolithography for the production of electronic devices. The advantages of printing include the ease of mass production, low cost, and flexibility. Compared to other printing techniques (e.g., screen printing), ink-jet printing does not offer the same production speed. However, the unprecedented flexibility of ink-jet printing makes it very well suited for rapid prototyping applications. In addition, it allows the use of inviscid fluids, such as dilute polymer solutions or suspensions without added binders. A typical application involves the ink-jet printing of conductive tracks, for example, by using inks based on (in)organic silver or copper precursors. The precursor is reduced to the corresponding metal via a post-printing thermal annealing step. In most cases, however, the ink is a dispersion of noble-metal nanoparticles, usually silver or gold. A sintering step is necessary to render the tracks conductive. The use of nanoparticles reduces the sintering temperature due to their high surface to volume ratio. In the past, two different techniques have been used to sinter printed nanoparticle structures. Conventional radiation– conduction–convection heating is the most commonly used method, wherein the sintering temperatures are typically above 200 °C. Therefore many potentially interesting substrate materials, such as thermoplastic polymers or paper, cannot be used. In fact, one of the very few, if not the only organic substrate that can be used is (expensive) polyimide (PI). The long sintering times required—usually 60 min or more— also imply that the technique is not feasible for fast industrial production. As an alternative, a laser sintering method was developed. The laser follows the conductive tracks and sinters these selectively, without affecting the substrate. However, this method is costly and complex from a technical point of view. Thus, there is a clear need for a fast, simple, and costeffective technique that would allow the sintering of the printed structures by the selective heating of only the printed components. Microwave heating fulfills these requirements. Microwave heating is widely used for the sintering of dielectric materials and in synthetic chemistry. It offers advantages such as uniform, fast, and volumetric heating. Microwave radiation is absorbed due to coupling with charge carriers or rotating dipoles. The absorbed power per unit volume P is,