gebhart/patrepeval huggingface dataset:
A Fine-Grained Indoor Location-Based Social Network (2016)

Existing Location-based social networks (LBSNs), e.g., Foursquare, depend mainly on GPS or cellular-based localization to infer users' locations. However, GPS is unavailable indoors and cellular-based localization provides coarse-grained accuracy. This limits the accuracy of current LBSNs in indoor environments, where people spend 89 percent of their time. This in turn affects the user experience, in terms of the accuracy of the ranked list of venues, especially for the small screens of mobile devices, misses business opportunities, and leads to reduced venues coverage. In this paper, we present CheckInside: a system that can provide a fine-grained indoor location-based social network. CheckInside leverages the crowd-sensed data collected from users' mobile devices during the check-in operation and knowledge extracted from current LBSNs to associate a place with a logical name and a semantic fingerprint. This semantic fingerprint is used to obtain a more accurate list of nearby places as well as to automatically detect new places with similar signature. A novel algorithm for detecting fake check-ins and inferring a semantically-enriched floorplan is proposed as well as an algorithm for enhancing the system performance based on the user implicit feedback. Furthermore, CheckInside encompasses a coverage extender module to automatically predict names of new venues increasing the coverage of current LBSNs. Experimental evaluation of CheckInside in four malls over the course of six weeks with 20 participants shows that it can infer the actual user place within the top five venues 99 percent of the time. This is compared to 17 percent only in the case of current LBSNs. In addition, it increases the coverage of existing LBSNs by more than 37 percent.
Multilingual Single Document Keyword Extraction for Information Retrieval (2006)

Keywords play an important role in many aspects of information retrieval (IR). From Web searches to text summarization good keywords are a necessity. In a typical IR system algorithms are used which require the entire document collection to be built beforehand. While some research has been done on extracting keywords from a single document, the quality of the keywords was not based on how well they perform in IR tasks. Moreover, they are designed for only one language and the applicability to other languages is unknown. As such, this paper proposes a new algorithm that is applicable to multiple languages and extracts effective keywords that, to a high degree, uniquely identify a document. It needs only a single document to extract keywords and does not rely on machine learning methods. It was tested on a Japanese-English bilingual corpus and a portion of the Reuter's corpus using a keyword search algorithm. The results show that the extracted keywords do a good job at uniquely identifying the documents.
SELECTION BIAS CORRECTIONS BASED ON THE MULTINOMIAL LOGIT MODEL: MONTE CARLO COMPARISONS (2007)

Abstract This survey presents the set of methods available in the literature on selection bias correction, when selection is specified as a multinomial logit model. It contrasts the underlying assumptions made by the different methods and shows results from a set of Monte Carlo experiments. We find that, in many cases, the approach initiated by Dubin and MacFadden (1984) as well as the semi‐parametric alternative recently proposed by Dahl (2002) are to be preferred to the most commonly used Lee (1983) method. We also find that a restriction imposed in the original Dubin and MacFadden paper can be waived to achieve more robust estimators. Monte Carlo experiments also show that selection bias correction based on the multinomial logit model can provide fairly good correction for the outcome equation, even when the IIA hypothesis is violated.
Emerging potential benefits of modulating NAD<sup>+</sup>metabolism in cardiovascular disease (2017)

Nicotinamide adenine dinucleotide (NAD<sup>+</sup>) and related metabolites are central mediators of fuel oxidation and bioenergetics within cardiomyocytes. Additionally, NAD<sup>+</sup> is required for the activity of multifunctional enzymes, including sirtuins and poly(ADP-ribose) polymerases that regulate posttranslational modifications, DNA damage responses, and Ca<sup>2+</sup> signaling. Recent research has indicated that NAD<sup>+</sup> participates in a multitude of processes dysregulated in cardiovascular diseases. Therefore, supplementation of NAD<sup>+</sup> precursors, including nicotinamide riboside that boosts or repletes the NAD<sup>+</sup> metabolome, may be cardioprotective. This review examines the molecular physiology and preclinical data with respect to NAD<sup>+</sup> precursors in heart failure-related cardiac remodeling, ischemic-reperfusion injury, and arrhythmias. In addition, alternative NAD<sup>+</sup>-boosting strategies and potential systemic effects of NAD<sup>+</sup> supplementation with implications on cardiovascular health and disease are surveyed.
Accurate radio distance estimation by phase measurements with multiple frequencies (2014)

Indoor localization is important for logistics, industrial applications and for several consumer applications. In the area of logistics, e.g. warehouses, localization accuracy within a few meters is desired. Available radio based systems within that accuracy are neither cost effective nor easy to deploy. Distance estimation together with triangulation are one of the standard solutions for localization. In this work, we propose phase measurements between two wireless sensor nodes for distance estimation. We introduce a mathematical model to estimate distances from phase measurements with multiple frequencies and provide a systematic analysis of possible sources of errors. Additionally, we derive requirements, e.g. resolution for a phase measurement unit to achieve a given accuracy. We present measurements for evaluation to confirm our theoretical results. Our implementation comprises a low cost IEEE 802.15.4 hardware with a built-in phase measurement unit. We implement the developed algorithm for distance estimation in our wireless sensor networks and use two wireless sensor nodes to perform a phase measurement. The contributions of the paper comprise a new model for phase measurements to estimate distances and a preliminary evaluation with our hardware.
Learning to Refine Human Pose Estimation (2018)

Multi-person pose estimation in images and videos is an important yet challenging task with many applications. Despite the large improvements in human pose estimation enabled by the development of convolutional neural networks, there still exist a lot of difficult cases where even the state-of-the-art models fail to correctly localize all body joints. This motivates the need for an additional refinement step that addresses these challenging cases and can be easily applied on top of any existing method. In this work, we introduce a pose refinement network (PoseRefiner) which takes as input both the image and a given pose estimate and learns to directly predict a refined pose by jointly reasoning about the input-output space. In order for the network to learn to refine incorrect body joint predictions, we employ a novel data augmentation scheme for training, where we model "hard" human pose cases. We evaluate our approach on four popular large-scale pose estimation benchmarks such as MPII Single- and Multi-Person Pose Estimation, PoseTrack Pose Estimation, and PoseTrack Pose Tracking, and report systematic improvement over the state of the art.
Extended Walton third-order elastic coefficients modified by an anisotropic and stress-dependent coordination number (2013)

ABSTRACT Relating subsurface stress to velocity anisotropy can provide quantitative insight into the effects of reservoir production. Rock-physics models using effective medium theory for unconsolidated sands can be built to establish this link, although empirical corrections are often required. In pursuit of this goal, fractional changes in elastic moduli have been related to fractional changes in stress through a perturbation analysis of the extended Walton model. The stress path considered was composed of isotropic loading followed by an arbitrary stress perturbation. The coefficients derived are dependent on granular elastic moduli and the proportion of grains with no-slip contacts but are conveniently independent of strain and porosity. A modification of these relationships has been introduced using an anisotropic stress-dependent coordination number, whose parameters can be derived from isotropic moduli-stress experiments. The inclusion of an anisotropic coordination number improved the model’s fit to experimental results of unconsolidated sands subject to anisotropic loading.
Texas Business Review, April 1996 (2016)

Small Business Resources @ the World Wide Web; The Bionic Library: Providing Information in the Digital Age
锅炉冷凝水的最佳“说明书”——锅炉冷凝水有机物的多种监测方法分析 (2010)

冷凝回水是工业生产过程中的常见产物，随着工业领域广泛采用高效高压锅炉，对于锅炉冷凝水而言，将其任意排放会造成资源浪费和环境污染。然而，重新利用含有有机污染物的冷凝水会导致锅炉结垢，对锅炉产生造成提前停工以及生产的潜在损失。
Dental Implants in the Diabetic Patient (1999)

It has become increasingly common for controlled diabetic patients to be considered as candidates for dental implants. This study reports on the results of placing implants in 34 patients with diabetes who were treated with 227 Brånemark implants. At the time of second-stage surgery, 214 of the implants had osseointegrated, a survival rate of 94.3%. Only one failure was identified among the 177 implants followed through final restoration, a clinical survival rate of 99.9%. Screening for diabetes and trying to ensure that implant candidates are in metabolic control are recommended to increase the chances of successful osseointegration. Antibiotic protection and avoidance of smoking should also be considered.
Defining the Design Parameters for <i>in Vivo</i> Enzyme Delivery Through Protein Spherical Nucleic Acids (2020)

The translation of proteins as effective intracellular drug candidates is limited by the challenge of cellular entry and their vulnerability to degradation. To advance their therapeutic potential, cell-impermeable proteins can be readily transformed into protein spherical nucleic acids (ProSNAs) by densely functionalizing their surfaces with DNA, yielding structures that are efficiently taken up by cells. Because small structural changes in the chemical makeup of a conjugated ligand can affect the bioactivity of the associated protein, structure-activity relationships of the linker bridging the DNA and the protein surface and the DNA sequence itself are investigated on the ProSNA system. In terms of attachment chemistry, DNA-based linkers promote a sevenfold increase in cellular uptake while maintaining enzymatic activity <i>in vitro</i> as opposed to hexaethylene glycol (HEG, Spacer18) linkers. Additionally, the employment of G-quadruplex-forming sequences increases cellular uptake <i>in vitro</i> up to fourfold. When translating to murine models, the ProSNA with a DNA-only shell exhibits increased blood circulation times and higher accumulation in major organs, including lung, kidney, and spleen, regardless of sequence. Importantly, ProSNAs with an all-oligonucleotide shell retain their enzymatic activity in tissue, whereas the native protein loses all function. Taken together, these results highlight the value of structural design in guiding ProSNA biological fate and activity and represent a significant step forward in the development of intracellular protein-based therapeutics.
Deep Face Recognition with Center Invariant Loss (2017)

Convolutional Neural Networks (CNNs) have been widely used for face recognition and got extraordinary performance with large number of available face images of different people. However, it is hard to get uniform distributed data for all people. In most face datasets, a large proportion of people have few face images. Only a small number of people appear frequently with more face images. These people with more face images have higher impact on the feature learning than others. The imbalanced distribution leads to the difficulty to train a CNN model for feature representation that is general for each person, instead of mainly for the people with large number of face images. To address this challenge, we proposed a center invariant loss which aligns the center of each person to enforce the learned features to have a general representation for all people. The center invariant loss penalizes the difference between each center of classes. With center invariant loss, we can train a robust CNN that treats each class equally regardless the number of class samples. Extensive experiments demonstrate the effectiveness of the proposed approach. We achieve state-of-the-art results on LFW and YTF datasets.
Kinesthetic Assistance for Improving Task Performance -The Case of Window Installation Assist- (2009)

Industrial robots have been widely used in factory automation. On the other hand, in the final assembly in automobile factories, many tasks are still completed by humans due to the difficulties and costs associated with automation. One example still requiring skilled human operators is the installation of the automobile window. The window installation assist robot we developed enables a single operator to install a window easily. The present study focuses on kinesthetic assistance including preliminary experiments and application to automobile window installation during car assembly demonstrating the effectiveness of our proposal.
A new lateral PNM Schottky collector bipolar transistor (SCBT) on SOI for nonsaturating VLSI logic design (2002)

The novel characteristics of a new lateral PNM Schottky collector bipolar transistor (SCBT) on silicon-on-insulator (SOI) are explored using two-dimensional (2D) simulation. The collector-base junction of the proposed lateral PNM transistor consists of a Schottky junction between n-base (N) and metal (M). The characteristics of this structure are compared with that of lateral PNP transistors on SOI. We demonstrate that the proposed structure has a superior performance in terms of reduced collector resistance, high current gain, negligible base widening, and very low reverse recovery time compared to the compatible lateral PNP transistors. A simple fabrication procedure is also suggested providing the incentive for experimental verification.
Genetic approach for intracerebroventricular delivery (2010)

Administration of synthetic or purified peptides directly into the brain ventricles is a method commonly used by neuroscientists for exploring physiological and behavioral functions of gene products. i.v. administration is controlled by the blood-brain barrier, which limits its effectiveness, and current approaches for acute or chronic intracerebroventricular delivery have significant technical drawbacks resulting from both the chemical properties of the delivered substance and the experimental procedures. Here we describe a genetic approach for the delivery of secreted peptides or proteins into the cerebrospinal fluid (CSF). Using a choroid plexus-specific promoter, we established a lentiviral-based system, which offers inducible and reversible delivery of a gene product into the CSF. The functionality of this system was demonstrated by using the overexpression of the two established neuropeptides, corticotropin-releasing factor and gonadotropin-releasing hormone, modulating anxiety-like behavior and estrus cycle, respectively. We show that this choroid plexus-specific lentiviral-based system is a reliable, effective, and adaptable research tool for intracerebroventricular delivery.
The Insulator Protein SU(HW) Fine-Tunes Nuclear Lamina Interactions of the Drosophila Genome (2010)

Specific interactions of the genome with the nuclear lamina (NL) are thought to assist chromosome folding inside the nucleus and to contribute to the regulation of gene expression. High-resolution mapping has recently identified hundreds of large, sharply defined lamina-associated domains (LADs) in the human genome, and suggested that the insulator protein CTCF may help to demarcate these domains. Here, we report the detailed structure of LADs in Drosophila cells, and investigate the putative roles of five insulator proteins in LAD organization. We found that the Drosophila genome is also organized in discrete LADs, which are about five times smaller than human LADs but contain on average a similar number of genes. Systematic comparison to new and published insulator binding maps shows that only SU(HW) binds preferentially at LAD borders and at specific positions inside LADs, while GAF, CTCF, BEAF-32 and DWG are mostly absent from these regions. By knockdown and overexpression studies we demonstrate that SU(HW) weakens genome - NL interactions through a local antagonistic effect, but we did not obtain evidence that it is essential for border formation. Our results provide insights into the evolution of LAD organization and identify SU(HW) as a fine-tuner of genome - NL interactions.
Clifford Algebra Approach for 3D Face Pose Correction (2013)

The 3D face samples within no-front plane would influence the feature extraction and recognition of them,therefore it should be pose corrected in the preprocessing state to be within the front plane.This paper proposed a method for 3D face pose correction based on Clifford algebra,namely,fixed on the frontal plane of 3D face by computing and detecting some specific points on it;and then constructed Clifford geometrical rotator for vertexes coordinate to rotate for the purpose of 3D face pose correction.The experimental results indicated that the proposed method made the calculation easy,and had clearly geometrical meaning and high accuracy of correction,it can be widely application.
Oxide films grown on GaAs(110) at 20 K: Stability during Cr overlayer formation (1991)

GaAs oxide films were formed by x-ray illumination of condensed O2 on GaAs(110) at 20 K, and their stability was investigated during subsequent Cr overlayer formation with atoms at 20 and 300 K and with preformed clusters. High resolution synchrotron radiation photoemission results for overlayer formation at 300 K show that Cr atoms reduce the GaAs oxides to form Cr oxides, Cr—As, and Cr—Ga bonding configurations. These reactions first involve the As2O5-like species and then progress to the As2O3-like and Ga2O3-like oxides, reflecting the relative stability of the oxides and their spatial distributions. For overlayer formation at 20 K, the Cr atoms initially reduced the As-oxide surface layers but had little effect on the Ga oxides, and a nonuniform metallic overlayer was formed after 1.5 Å Cr deposition. These low-temperature results demonstrate that kinetic constraints imposed at 20-K limit Cr diffusion and, hence, oxide reduction. In contrast, the deposition of Cr clusters onto oxidized GaAs produced a metallic layer with minimal oxide disruption. This different final state can be understood by noting that the bonding of Cr atoms in metallic Cr clusters establishes an activation barrier for reaction that is not present for atom deposition.
Support vector machine learning for image retrieval (2002)

A novel method of relevance feedback is presented based on support vector machine learning in the content-based image retrieval system. A SVM classifier can be learned from training data of relevance images and irrelevance images marked by users. Using the classifier, the system can retrieve more images relevant to the query in the database efficiently. Experiments were carried out on a large-size database of 9918 images. It shows that the interactive learning and retrieval process can find correct images increasingly. It also shows the generalization ability of SVM under the condition of limited training samples.
B(SCN)<sub>4</sub><sup>–</sup>: A New Weakly Coordinating Anion in the Tetracyanoborate Family (2017)

Halogen-free electrolytes are important for the development of the next-generation rechargeable Li-ion batteries. Due to its ultrahigh oxidative stability and weak binding with Li+, the bison anion B(CN)4– has recently been found to be a potential candidate for such electrolytes. Unfortunately, Li-bison salt has very poor solubility in ionic liquids, leading to the possible formation of large aggregates, thus hindering its potential for commercial application. Here, by replacing the cyanide with much less toxic thiocyanide, we propose a new weakly coordinating anion, B(SCN)4–, which does not suffer from this drawback. We show that this new member of the tetracyanoborate family is unlikely to form aggregated complexes with Li+ and would be a good candidate to be used in electrolytes.
Concentrations of Cd, Cu and Zn in the Fish Tilapia Oreochromis mossambicus Caught from a Kelana Jaya Pond (2005)

Kelana Jaya Ponds are typical aquatic ecosystems of great importance with regard to biodiversity and aesthetic value in urban areas of Peninsular Malaysia. Concentrations of Cd, Cu and Zn were determined in the edible flesh (muscles), scales and gills of the fish tilapia Oreochromis mossambicus caught at one of the ponds in Kelana Jaya. The ranges of mean concentrations of metals (μg/g dry weight) in the fish were Cd: 2.42, 3.95 and 4.48; Cu: 1.98, 3.78 and 2.89 and Zn: 58.4, 71.1 and 80.5, in the muscles, scales and gills, respectively. Generally, scales and gills showed higher metal concentrations than muscles. Although the lake is thought to receive semi-untreated domestic wastes and dumping, the results of these metals (especially in the edible part of the fish) did not exceed the permissible limits for human consumption for fish product. Therefore, this should not pose health problems for consumers of the tilapia species but further intensive studies are warranted.
Mesoporous TiO2 nanostructures: a route to minimize Pt loading on titania photocatalysts for hydrogen production (2011)

Mesostructured TiO(2) nanocrystals have been prepared using Pluronic F127 as the structure-directing agent. Platinum nanoparticles at different contents (0.1-1.0 wt%) have been photochemically deposited onto the mesoporous TiO(2). TEM investigation of 0.2 wt% Pt/TiO(2) calcined at 450 °C reveals that the TiO(2) particles are quite uniform in size and shape with the particle sizes of TiO(2) and Pt being 10 and 3 nm, respectively. The photocatalytic activities of the Pt loaded TiO(2) have been assessed and compared with those of nonporous commercial Pt/TiO(2)-P25 by determining the rates and the photonic efficiencies of molecular hydrogen production from aqueous methanol solutions. The results show that the amount of hydrogen evolved on Pt/TiO(2)-450 at low Pt loading (0.2 wt%) is three times higher than that evolved on Pt/TiO(2)-P25 and twelve times higher than that evolved on Pt/TiO(2)-350. Despite the BET surface area of the TiO(2)-450 photocatalyst being 3.5 times higher than that of TiO(2)-P25, a 60% smaller amount of the Pt co-catalyst is required to obtain the optimum photocatalytic hydrogen production activity. The reduced Pt loading on the mesoporous TiO(2) will be important both from a commercial and an ecological point of view.
A specific endoribonuclease, RNase P, affects gene expression of polycistronic operon mRNAs (2003)

The rnpA mutation, A49, in Escherichia coli reduces the level of RNase P at 43 degrees C because of a temperature-sensitive mutation in C5 protein, the protein subunit of the enzyme. Microarray analysis reveals the expression of several noncoding intergenic regions that are increased at 43 degrees C compared with 30 degrees C. These regions are substrates for RNase P, and they are cleaved less efficiently than, for example, tRNA precursors. An analysis of the tna, secG, rbs, and his operons, all of which contain RNase P cleavage sites, indicates that RNase P affects gene expression for regions downstream of its cleavage sites.