Miracle-dz/UniFAR-FTUs huggingface dataset:
Model Free Calibration of Wheeled Robots Using Gaussian Process

Robotic calibration allows for the fusion of data from multiple sensors such as odometers, cameras, etc., by providing appropriate relationships between the corresponding reference frames. For wheeled robots equipped with camera/lidar along with wheel encoders, calibration entails learning the motion model of the sensor or the robot in terms of the data from the encoders and generally carried out before performing tasks such as simultaneous localization and mapping (SLAM). This work puts forward a novel Gaussian Process-based non-parametric approach for calibrating wheeled robots with arbitrary or unknown drive configurations. The procedure is more general as it learns the entire sensor/robot motion model in terms of odometry measurements. Different from existing non-parametric approaches, our method relies on measurements from the onboard sensors and hence does not require the ground truth information from external motion capture systems. Alternatively, we propose a computationally efficient approach that relies on the linear approximation of the sensor motion model. Finally, we perform experiments to calibrate robots with un-modelled effects to demonstrate the accuracy, usefulness, and flexibility of the proposed approach.
Jellyfish: Resolving the Kinematics of Extreme Ram-pressure Stripping at z ∼ 0.3

We present and discuss results from the first spatially resolved kinematic study of ram-pressure stripping of a massive late-type galaxy at intermediate redshifts. Our target, the spectacular “jellyfish” galaxy, A1758N_JFG1, was previously identified as a fast-moving member of the equal-mass merger A1758N (z = 0.28), with a star formation rate of 48 M☉ yr−1, far above the galaxy main sequence. Integral field unit (IFU) data obtained by us unambiguously confirm ram-pressure stripping as the physical mechanism driving the optical morphology and high star formation rate of this system by revealing extended [O ii]λ3727 Å emission up to 40 kpc (in projection) downstream, as well as an ordered radial-velocity field generated by (a) conservation of angular momentum of the interstellar gas stripped from the edge of the galactic disk and (b) drag forces exerted by the intracluster medium on the “tentacles” of stripped material. We find no evidence of significant nuclear activity in A1758N_JFG1, although an AGN might, at this early stage of the stripping process, be obscured by high column densities of gas and dust near the galactic core. Finally, our exploration of possible trajectories of A1758N_JFG1 found solutions consistent with the notions (a) that the A1758N merger proceeds along an axis that is substantially inclined with respect to the plane of the sky and (b) that A1758N_JFG1 participated in the merger, rather than having been accreted independently from the field.
Fe b 20 05 Accelerating , hyper-accelerating , and decelerating probabilistic networks

Many growing networks possess accelerating statistics where the number of links added with each new node is an increasing function of network size so the total number of links increases faster than linearly with network size. In particular, biological networks can display a quadratic growth in regulator number with genome size even while remaining sparsely connected. These features are mutually incompatible in standard treatments of network theory which typically require that every new network node possesses at least one connection. To model sparsely connected networks, we generalize existing approaches and add each new node with a probabilistic number of links to generate either accelerating, hyper-accelerating, or even decelerating network statistics in different regimes. Under preferential attachment for example, slowly accelerating networks display stationary scale-free statistics relatively independent of network size while more rapidly accelerating networks display a transition from scale-free to exponential statistics with network growth. Such transitions explain, for instance, the evolutionary record of single-celled organisms which display strict size and complexity limits.
Cancer immunotherapy targeting the HMW-MAA protein results in a broad antitumor response and reduction of pericytes in the tumor vasculature

The high molecular weight melanoma-associated antigen (HMW-MAA), also known as melanoma chondroitin sulfate proteoglycan, has been used as a target for the immunotherapy of melanoma. This antigen is expressed on the cell surface and has a restricted distribution in normal tissues. Besides its expression in a broad range of transformed cells, this antigen is also found in pericytes, which are important for tumor angiogenesis. We generated a recombinant Listeria monocytogenes (Lm-LLO-HMW-MAA-C) that expresses and secretes a fragment of HMW-MAA (residues 2,160–2,258) fused to the first 441 residues of the listeriolysin O (LLO) protein. Immunization with Lm-LLO-HMW-MAA-C was able to impede the tumor growth of early established B16F10HMW-MAA tumors in mice and both CD4+ and CD8+ T cells were required for therapeutic efficacy. Immune responses to a known HLA-A2 epitope present in the HMW-MAA2160–2258 fragment was detected in the HLA-A2/Kb transgenic mice immunized with Lm-LLO-HMWMAA-C. Surprisingly, this vaccine also significantly impaired the in vivo growth of other tumorigenic cell lines, such as melanoma, renal carcinoma, and breast tumors, which were not engineered to express HMW-MAA. One hypothesis is that the vaccine could be targeting pericytes, which are important for tumor angiogenesis. In a breast tumor model, immunization with Lm-LLO-HMW-MAA-C caused CD8+ T-cell infiltration in the tumor stroma and a significant decrease in the number of pericytes in the tumor blood vessels. In conclusion, a Lmbased vaccine against HMW-MAA can trigger cell-mediated immune responses to this antigen that can target not only tumor cells but also pericytes in the tumor vasculature.
Detection of Passive Scalar Interface Directly from PIV Particle Images in Inhomogeneous Turbulent Flows

This article proposes a technique to estimate the cross-sectional scalar interface (outer boundary) in an inhomogeneous turbulent flow from a conditioned particle image velocimetry (PIV) experiment, which is suitable for medium to high Reynolds numbers. The scalar interface is estimated directly by using conditioned PIV particle images which have distinguishably high particle seeding density in the area of interest, whereas conventionally in water based experiments, scalar interface is often determined from planar laser induced fluorescence (PLIF) or equivalent dye images. By comparing quantities in the vicinity of this scalar interface, it also shows that in terms of separate turbulent and non-turbulent regions, this technique could also replace the function of PLIF images in water experiments, with slightly lower spatial resolution. At the same time, if velocity information is also required simultaneously then the cost of a separate camera-laser system can be saved. The effect of particle field inhomogeneity on the PIV accuracy can be well reduced to an insignificant level by an image local normalisation treatment. This article shows that the interfacial layer could be detected fairly accurately by enhancing the particle images by wavelet based thresholding methods. The degree of detection accuracy is quantified by synthetic particle image analyses, where a scalar interface can be artificially pre-defined. The proposed technique is tested in two water based experiments but is expected to be particularly useful in gas-phase based experiments or some combustion applications, where liquid-phase dye cannot be applied.
Firm Liquidity and Issuing Activity

The paper shows that issuing activity does not result in additional liquidity. I find that even in the subsamples in which issuing is supposed to create more liquidity (severely underpriced IPOs, IPOs backed by venture capital, new issues with high-prestige underwriters) new issues are indeed more liquid, but so are their peers, and thus issuing does not create liquidity. The paper thus refutes the existing liquidity-based explanations of the new issues puzzle. The paper also shows that the low-minus-high turnover factor seems to explain the new issues puzzle and related anomalies only because it picks up volatility risk. JEL Classification: G12, G13, G32, E44
Interconnecting a system having a single input-to-state gain with a system having a region-dependent input-to-state gain

For an ISS system, by analyzing local and non-local properties, it is obtained different input-to-state gains. The interconnection of a system having two input-to-state gains with a system having a single ISS gain is analyzed. By employing the Small Gain Theorem for the local (resp. non-local) gains composition, it is concluded about the local (resp. global) stability of the origin (resp. of a compact set). Additionally, if the region of local stability of the origin strictly includes the region attraction of the compact set, then it is shown that the origin is globally asymptotically stable. An example illustrates the approach.
Near-Infrared Coloring via a Contrast-Preserving Mapping Model

Near-infrared gray images captured together with corresponding visible color images have recently proven useful for image restoration and classification. This paper introduces a new coloring method to add colors to near-infrared gray images based on a contrast-preserving mapping model. A naive coloring method directly adds the colors from the visible color image to the near-infrared gray image; however, this method results in an unrealistic image because of the discrepancies in brightness and image structure between the captured near-infrared gray image and the visible color image. To solve the discrepancy problem, first we present a new contrast-preserving mapping model to create a new near-infrared gray image with a similar appearance in the luminance plane to the visible color image, while preserving the contrast and details of the captured near-infrared gray image. Then based on the proposed contrast-preserving mapping model, we develop a method to derive realistic colors that can be added to the newly created near-infrared gray image. Experimental results show that the proposed method can not only preserve the local contrasts and details of the captured near-infrared gray image, but transfers the realistic colors from the visible color image to the newly created near-infrared gray image. Experimental results also show that the proposed approach can be applied to near-infrared denoising.
BRAF-Mutated Colorectal Cancer: Clinical and Molecular Insights

Colorectal cancer (CRC) is one of the leading causes of mortality and morbidity in the world. It is a heterogeneous disease, which can be classified into different subtypes, characterized by specific molecular and morphological alterations. In this context, BRAF mutations are found in about 10% of CRC patients and define a particular subtype, characterized by a dismal prognosis, with a median survival of less than 12 months. Chemotherapy plus bevacizumab is the current standard therapy in first-line treatment of BRAF-mutated metastatic CRC (mCRC), with triplet (FOLFOXIRI) plus bevacizumab as a valid option in patients with a good performance status. BRAF inhibitors are not so effective as compared to melanoma, because of various resistance mechanisms. However, the recently published results of the BEACON trial will establish a new standard of care in this setting. This review provides insights into the molecular underpinnings underlying the resistance to standard treatment of BRAF-mutated CRCs, with a focus on their molecular heterogeneity and on the research perspectives both from a translational and a clinical point of view.
Handbook of drug-nutrient interactions.

Part 1 Approaching Drug-Nutrient Interactions 1 An Introduction to Drug-Nutrient Interactions Joseph I. Boullata 2 Drug Disposition and Response Robert B. Raffa 3 Drug Transporters Richard H. Ho and Richard B. Kim 4 Drug-Metabolizing Enzymes Thomas K. H. Chang 5 Nutrient Disposition Francis E. Rosato, Jr. Part 2 Influence of Nutrition Status on Drug Disposition and Effect 6 Influence of Protein-Calorie Malnutrition on Medication Charlene W. Compher and Joseph I. Boullata 7 Influence of Overweight and Obesity on Medication Joseph I. Boullata Part 3 Influence of Food, Nutrients, or Supplementation on Drug Disposition and Effect 8 Drug Absorption with Food David Fleisher, Burgunda V. Sweet, Ameeta Parekh, and Joseph I. Boullata 9 Specific Dietary Components and Medication Karl E. Anderson 10 Grapefruit and Other Fruit Juices Interactions with Medicines David G. Bailey 11 Positive Drug-Nutrient Interactions Imad F. Btaiche, Burgunda V. Sweet, and Michael D. Kraft 12 Interaction of Natural Products with Medication and Nutrients Lingtak-Neander Chan 13 Drug-Nutrient Interactions in Patients Receiving Enteral Nutrition Carol J. Rollins 14 Drug-Nutrient Interactions in Patients Receiving Parenteral Nutrition Jay M. Mirtallo Part 4 Influence of Medication on Nutrition Status, Nutrient Disposition & Effect 15 Drug-Induced Changes to Nutritional Status Jane M. Gervasio 16 Influence of Cardiovascular Medication on Nutritional Status Nima M. Patel and Anna M. Wodlinger Jackson 17 Influence of Neurological Medication on Nutritional Status Marianne S. Aloupis and Ame L. Golaszewski 18 Drug-Nutrient Interactions Involving Folate Patricia Worthington and Leslie Schechter 19 Drug-Nutrient Interactions that Impact on Mineral Status Sue A. Shapses, Yvette R. Schlussel, and Mariana Cifuentes Part 5 Drug-Nutrient Interactions by Life Stage 20 Drug-Nutrient Interactions in Infancy and Childhood Laureen Murphy Kotzer, Maria R. Mascarenhas, and Elizabeth Wallace 21 Drug-Nutrient Interaction Considerations in Pregnancy and Lactation Myla E. Moretti and Danela L. Caprara 22 Drug-Nutrient Interactions in the Elderly Bruce P. Kinosian and Tanya C. Knight-Klimas Part 6 Drug -Nutrient Interactions in Specific Conditions 23 Drug-Nutrient Interactions and Immune Function Adrianne Bendich and Ronit Zilberboim 24 Drug-Nutrient Interactions in Patients with Chronic Cancer Todd W. Canada 25 Drug-Nutrient Interactions in Transplantation Matthew J.Weiss, Vincent T. Armenti, Nicole Sifontis, Jeanette M. Hasse 26 Drug-Nutrient Interactions in Patients with Chronic Infections Steven P. Gelone and Judith A. O'Donnell
Fe b 20 08 Imperial / TP / 2007 / JG / 04 D = 5 SU ( 2 ) × U ( 1 ) Gauged Supergravity from D = 11 Supergravity

We consider the most general class of supersymmetric solutions of D = 11 supergravity consisting of a warped product of AdS5 with a six-dimensional internal manifold N6, which are dual to N = 2 super conformal field theories in d = 4. For any such N6 we construct the full non-linear KaluzaKlein ansatz for the reduction of D = 11 supergravity on N6 down to D = 5 SU(2) × U(1) gauged supergravity, at the level of the bosonic fields. This allows one to uplift any solution of the D = 5 supergravity to obtain a solution of D = 11 supergravity for any given N6. Using an explicit N6, corresponding to M5-branes wrapping holomorphic curves in a Calabi-Yau two-fold, we uplift some solutions and comment upon their interpretation.
Machine Learning and Data Mining Techniques for Sign Language Recognition and Retrieval System

This paper presents a technique to acknowledge 32 American Sign Language distinctive letters and numbers from image signs, independence of signer and environment of image capture. Input pictures are mapped to the YCbCr color space, binarized and resized to 70×70 px. Principal Component Analysis is then performed on these binary images exploitation their pixels as features. This technique recognized signer-dependent signs with an accuracy of 100% and signer-independent signs with an accuracy of 62.37% that will increase to 78.49% if dissimilar signs only used. KeywordsSLR Systems; Image Processing; Principal Component Analysis, Support Vector Machine.
The Ecology of an Incipient Marine Biological Invasion: The Charru Mussel Mytella charruana d’Orbignyi, 1846 (Bivalvia: Mytilidae) in Manila Bay, Luzon, Philippines

1Institute of Environmental Science and Meteorology, College of Science, University of the Philippines Diliman, Diliman, Quezon City 2Science and Society Program, University of the Philippines Diliman, Diliman, Quezon City 3Institute of Biological Sciences, University of the Philippines Los Baños, College, Laguna 4Manila Ocean Park, Luneta, Manila §Biodiversity Management Bureau, Department of Environment and Natural Resources, North Avenue, Diliman, Quezon City
The Role of Linguistic Features in Domain Adaptation: TAG Parsing of Questions

The analysis of sentences outside the domain of the training data poses a challenge for contemporary syntactic parsing. The Penn Treebank corpus, commonly used for training constituency parsers, systematically under-samples certain syntactic structures. We examine parsing performance in Tree Adjoining Grammar (TAG) on one such structure: questions. To avoid hand-annotating a new training set including out-of-domain sentences, an expensive process, an alternate method requiring considerably less annotation effort is explored. Our method is based on three key ideas: First, pursuing the intuition that “su-pertagging is almost parsing” (Bangalore and Joshi, 1999), the parsing process is decomposed into two distinct stages, supertagging and stapling. Second, following Rimell and Clark (2008), the supertagger is trained with an extended dataset including questions, and the resultant supertags are used with an un-modiﬁed parser. Third, to maximize improvements gained from additional training of the supertagger, the parser is provided with linguistically-signiﬁcant features that reﬂect commonalities across supertags. This novel combination of ideas leads to an improvement in question parsing accuracy of 13% LAS. This points to the conclusion that adaptation of a parser to a new domain can be achieved with limited data through the careful integration of linguistic knowledge.
C L ] 7 J ul 2 00 0 Boosting Applied to Word Sense Disambiguation

In this paper Schapire and Singer’s AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polysemous words show that the boosting approach surpasses Naive Bayes and Exemplar–based approaches, which represent state–of–the–art accuracy on supervised WSD. In order to make boosting practical for a real learning domain of thousands of words, several ways of accelerating the algorithm by reducing the feature space are studied. The best variant, which we call LazyBoosting, is tested on the largest sense–tagged corpus available containing 192,800 examples of the 191 most frequent and ambiguous English words. Again, boosting compares favourably to the other benchmark algorithms.
Creating a Parallel Treebank of the Old Indo-European BibleTranslations

In this paper, we report on the creation of a syntactic annota tion scheme to be used in a comparative study of the oldest ext ant versions of the New Testament in Indo-European languages: the Greek ori ginal, as well as the translations into Latin, Gothic, Armen ian and Church Slavonic. The tag set was created in a pilot study involving s yntactic annotation of the Gospel of Mark in Greek and Latin. The resulting tag set is well suited for capturing syntactic variation bet ween these languages, particularly in areas having to do wit h pragmatics and information structure – as the treebank is created within a l arger project in this field – but also more general syntactic d ifferences.
Multiple Objective Optimizations of Parameters in Rotary Edm of P20 Steel

Electrical discharge machining (EDM) is one of the advanced methods of machining. Most publications on the EDM process are directed towards non-rotational tools. But rotation of the tool provides a good flushing effect in the machining zone. Optimization of process parameters in rotary EDM to arrive at the best manufacturing conditions, is an essential need for industries towards manufacturing of quality products at lower cost. This paper aims to investigate the optimal set of process parameters such as work piece polarity, current, pulse ON and OFF time and tool rotational speed in rotary EDM process to identify the variations in three performance characteristics such as material removal rate, tool wear rate and surface roughness value during machining of P20 die steel using copper electrode. Based on the experiments conducted using L18 orthogonal array, analysis has been carried out with Grey relational analysis. Response tables and graphs were used to find the optimal levels of parameters in rotary EDM process. Confirmation experiments were carried out to validate the optimal results. Thus the machining parameters for rotary EDM were optimized for achieving the combined objectives of performance characteristics on the work piece material. The obtained results show that the Grey relational Analysis is being effective technique to optimize the machining parameters for EDM process.
Towards A Task Taxonomy for Analyzing Electronic Health Record Cohorts from Mild Traumatic Brain Injuries

We present an initial study result towards a task taxonomy for visualization design for electronic health records (EHR) data analysis through a combination of the data-driven and user-driven approaches. We discuss the process involved in the generation and the initial results which contain more than 100 tasks. The taxonomy will be of value in the design and evaluation of visualization design and tool development of temporal EHR environment.
Static Function Prefetching for Efficient Code Management on Scratchpad Memory

As cache-based memory hierarchy is becoming a primary factor which limits the scalability and power efficiency of multi-core systems, scratchpad memory (SPM) has been studied as an alternative to cache. When SPM is used as an instruction memory, code management techniques are required to load code blocks on SPM using DMAs. In these techniques, code blocks are generally loaded on-demand to avoid loading incorrect block — unlike cache (e.g. tag arrays), SPM does not have mechanism to detect and recover from faults. While on-demand loading guarantees no fault, it leads to considerable performance overhead since it serializes the execution of DMA and CPU. This paper presents a technique to insert prefetching instructions for function-level code management to enable overlapping execution between DMA engine and CPU. Our technique inserts DMA instructions statically at compile time and does not rely on any profiling or run-time resources. Our evaluation shows that static prefetching can reduce CPU idle time due to DMAs by 58.5% and achieves 14.7% of average performance improvement on the benchmarks showing high overhead due to DMAs.
Phase-Shift-Based Efficiency Optimization in Microwave Processing of Materials with Solid-State Sources

The paper describes an efficient way to maximize the power level delivered to a multisource cavity fed by solid-state generators. While maximum output power of semiconductor-based RF sources is still insufficient for various applications related to microwave processing of materials, summation of signals from several sources is often performed at dedicated power adders. A different approach is demonstrated in this paper: here, power is summed directly on the load inside the multiport cavity. A smart selection of operating frequency and relative phase shifts enables minimization of power loss due to impedance mismatch and cross-talk. An example of a two-port cavity with a sequentially shifted waterload is provided to explain why this approach should be useful for material processing applications.