gebhart/patrepeval huggingface dataset:
Review Sentiment Analysis Based on Deep Learning (2015)

With rapid development of E-commerce platforms, automated review sentiment analysis for commodities becomes a research focus, with main purpose to extract potential information within reviews for decision making of consumers. Traditional methods have made some progress on document level sentiment analysis, but with tremendous increasing of data scale, how to process high dimension of data fast and effectively becomes the largest limitation. In this paper, we import deep neural network which is appropriate for high dimension data analysis, and propose a framework of sentiment analysis based on deep learning. Experiments on different data scale and different domains show that the proposed method can solve high dimensional problem with good performance.
Effect of Saline Drinking Water on Egg Shell Quality of Leghorn and Native Hens (2000)

This experiment was carried out to study the effect of sodium chloride from drinking water and feed intake on the quality of egs from laying hens. Four hundred and twenty native and white leghorn laying hens ranging from 36 to 43 weeks of age were used. Seven experimental treatments containing different levels of salt supplied by feed and/or drinking water were compared. Increasing salt intake by the addition of NaCI to drinking water or feed intake reduced shell thickness, shell ash and increased, the number of damaged eggs. Shell calcium was not affected hy added salt, however, the addition of salt to the food reduced shell-breaking strength. Breed differences influenced the traits studied, except for shell percentage and shell calcium. Sodium chloride intake from drinking water was more effective in reducing shell quality than salt from food.
Microstructure and properties of BN/Ni-Cu composites fabricated by powder technology (2018)

Microsize Powders of Ni and Cu were prepared by water atomization technique to fabricate metal matrix composites containing various percentages of nanosized boron nitride particles (1, 2, 3, 4, 5 wt. % of BN in a matrix containing (20 wt. %Ni and 80 wt. %Cu). The prepared mixtures were cold compacted under 400 MPa, and sintered for 2 h at 1000 °C in a controlled atmosphere of 3:2 N2/H2 gas mixtures. The microstructure and the chemical composition of the prepared powders as well as the consolidated composites were investigated by X-ray diffraction as well as field emission scanning electron microscope (FESEM) equipped with an energy dispersive spectrometer (EDS). The produced Cu and Ni powders have spheroid shape of size less than 100 microns, but the investigated BN has an equiaxed particle shape and particle size of ∼ 500 nm. It has been also observed that BN and Ni particles were homogeneously distributed in the Cu matrix of the present BN/Ni-Cu composites. The density, electrical resistivity, saturation magnetization and hardness of the composites were measured. It was observed that, by increasing BN content, the relative density was decreased, while the saturation magnetization, electrical resistivity and hardness were increased.
Fabrication of hierarchical micro–nanotopographies for cell attachment studies (2013)

We report on the development of micro/nanofabrication processes to create hierarchical surface topographies that expand from 50 nm to microns in size on different materials. Three different approaches (named FIB1, FIB2, and EBL) that combine a variety of techniques such as photolithography, reactive ion etching, focused ion beam lithography, electron beam lithography, and soft lithography were developed, each one providing different advantages and disadvantages. The EBL approach was employed to fabricate substrates comprising channels with features between 200 nm and 10 μm in size on polymethylmethacrylate (PMMA), which were then used to investigate the independent or competitive effects of micro- and nanotopographies on cell adhesion and morphology. Rat mesenchymal stem cells (rMSCs) were cultured on four different substrates including 10 μm wide and 500 nm deep channels separated by 10 μm distances (MICRO), 200 nm wide and 100 nm deep nanochannels separated by 200 nm distances (NANO), their combination in parallel (PARAL), and in a perpendicular direction (PERP). Rat MSCs behaved differently on all tested substrates with a high degree of alignment (as measured by both number of aligned cells and average angle) on both NANO and MICRO. Furthermore, cells exhibited the highest level of alignment on PARAL, suggesting a synergetic effect of the two scales of topographies. On the other hand, cells on PERP exhibited the lowest alignment and a consistent change in morphology over time that seemed to be the result of interactions with both micro- and nanochannels positioned in the perpendicular direction, also suggesting a competitive effect of the topographies.
One-Pot Desulfonylative Alkylation of N-Sulfonyl Azacycles Using Alkoxides Generated by Phase-Transfer Catalysis (2009)

Sulfonamide heterocycles, specifically 3-acylindoles, undergo a deprotection/alkylation sequence in the presence of an appropriate alcohol when cesium carbonate or potassium carbonate and a phase-transfer catalyst are utilized. The outcome of the one-pot protocol was found to be significantly dependent on both the alcohol and sulfonamide heterocycle employed. Strictly anhydrous conditions are not necessary for this protocol.
High Hydrostatic Pressure Treatment of Porcine Oocytes before Handmade Cloning Improves Developmental Competence and Cryosurvival (2008)

An innovative technique, called the high hydrostatic pressure (HHP) treatment, has been recently reported to improve the cryosurvival of gametes or embryos in certain mammalian species. The aim of the present study was to investigate the in vitro and in vivo developmental competence and cryotolerance of embryos produced by handmade cloning (HMC) after pressure treatment of recipient oocytes. In vitro-matured porcine oocytes were treated with a sublethal hydrostatic pressure of 20 MPa (200 times greater than atmospheric pressure) and recovered for either 1 or 2 h (HHP1 and HHP2 groups, respectively) before they were used for HMC. After 7 days of in vitro culture, blastocyst rates and mean cell numbers were determined. Randomly selected blastocysts were vitrified with the Cryotop method based on minimum volume cooling procedure. The blastocyst rate was higher in the HHP2 group than in the control group (68.2 +/- 4.1% vs. 46.4 +/- 4.2%; p < 0.01), while there was no difference between HHP1 and control group (52.1 +/- 1.2% vs. 49.0 +/- 2.7%; p > 0.05). Similar mean cell numbers of produced blastocysts were obtained in HHP2 and control groups (56 +/- 4 vs. 49 +/- 5; p > 0.05). Subsequent blastocyst vitrification with the Cryotop method resulted in significantly higher survival rate after thawing in the HHP2 group than in the control group (61.6 +/- 4.0% vs. 30.2 +/- 30.9%; p < 0.01). Fifty-six and 57 day 5 to day 7 fresh blastocysts in HHP1 group were transferred into two recipient sows on day 5 of the estrous cycle. One recipient was diagnosed pregnant and gave birth to two healthy piglets by naturally delivery on day 122 of gestation. This pilot study proved that the sublethal HHP treatment of porcine oocytes before HMC results in improved in vitro developmental competence and cryotolerance, and supports embryonic and fetal development as well as pregnancy establishment and maintenance up to the birth of healthy piglets.
Automated Wireless Localization Data Acquisition and Calibration with 6DOF Image Localization (2018)

Radio frequency (RF) signals have been used extensively to enable (indoor) localization and proximity detection based on Received Signal Strength Indication (RSSI). However, localization systems often suffer from large data collection and calibration overhead, especially when being deployed in a new environment. RSSI fingerprinting based localization systems require the construction of a fingerprinting database. This localization data acquisition is a hindrance for the proliferation of localization systems in practice. Similarly, RSSI proximity applications require an RSSI calibration for the receiver hardware and the deployment environment. To overcome these problems, we propose the usage of visual 3D models which enable 6DOF localization and distance measurement with high accuracy. We then fuse this physical knowledge with RF data: (1) for automated acquisition of fingerprinting data and (2) easy calibration of a RF propagation model for proximity estimation.
A Gateway for CAN Specification 2.0 Non-Passive Devices (1993)

<div class="htmlview paragraph">The Controller Area Network (CAN) protocol, developed by ROBERT BOSCH GmbH, offers a comprehensive solution to managing communication between multiple CPUs. In September 1991, the CAN protocol was revised (CAN Specification 2.0) to add an extended message format that increases the number of permitted message identifiers. The CAN protocol now supports 11- and 29-bit message identifiers allowing standard and extended formats, respectively.</div> <div class="htmlview paragraph">CAN Specification 2.0 implements a new message bit, the identifier extension bit (IDE bit) which allows CAN devices to differentiate standard and extended formats. However, most existing CAN implementations are based on the previous CAN protocol specification and will not recognize extended format messages and will respond with an error message. These chips are CAN Specification 2.0 non-passive.</div> <div class="htmlview paragraph">Until semiconductor makers develop a variety of chips to implement 29-bit message identifiers, CAN users may require a gateway to interconnect networks using 29-bit message identifiers to existing networks that only use CAN 1.2 11-bit message identifiers. In this context, a gateway is a system that translates messages in one protocol to another and vice versa.</div> <div class="htmlview paragraph">A gateway between two networks is typically designed to minimize transmission latency, to minimize lost messages (overruns) and to manage bus error issues. Following a brief description of the CAN message format, general gateway design considerations and performance estimates will be addressed. In addition, a method to send remote frames across the gateway is discussed.</div>
Sll0254 (CrtL <sup>diox</sup> ) Is a Bifunctional Lycopene Cyclase/Dioxygenase in Cyanobacteria Producing Myxoxanthophyll (2006)

Upon depletion of Sll0254 in Synechocystis sp. strain PCC 6803, cyclized carotenoids were replaced by linear, relatively hydrophilic carotenoids, and the amount of the two photosystems decreased greatly. Full segregants of the sll0254 deletion in Synechocystis were not obtained, implying that this gene is essential for survival, most likely to allow normal cell division. The N-terminal half of Sll0254 has limited similarity to the family of lycopene cyclases, has an additional dehydrogenase motif near the N terminus, and is followed by a Rieske 2Fe-2S center sequence signature. To test whether Sll0254 serves as a lycopene cyclase in Synechocystis, the corresponding gene was expressed in Escherichia coli strains that can produce lycopene or neurosporene. In the presence of Sll0254 these linear carotenoids were converted into cyclized, relatively hydrophilic pigments, with masses consistent with the introduction of two hydroxyl groups and with spectra indicative of only small changes in the number of conjugated double bonds. This suggests that Sll0254 catalyzes formation of oxygenated, cyclized carotenoids. We interpret the appearance of the hydroxyl groups in the carotenoids to be due to dioxygenase activity involving the Rieske 2Fe-2S center and the additional dehydrogenase domain. This dioxygenase activity is required in the myxoxanthophyll biosynthesis pathway, after or concomitant with cyclization on the other end of the molecule. We interpret Sll0254 to be a dual-function enzyme with both lycopene cyclase and dioxygenase activity and have named it CrtL(diox).
On Uplink Power Control Optimization and Distributed Resource Allocation in Femtocell Networks (2011)

In this paper, we propose a simple decentralized frequency-domain resource allocation strategy combined with uplink power optimization for Long Term Evolution (LTE) femtocell base stations (FBSs). We consider femtocells as an underlay network that reuse the existing macrocell spectral bands. The objective of this work is to maximize the uplink throughput of femtocell user equipments (FUEs) without causing performance degradation to macrocell user equipments (MUEs). System-level simulations are carried out to investigate the power optimization problem by extensive search over the power control (PC) parameter space. Based on the parameters selection, the FUEs uplink throughput is evaluated using the resource allocation scheme which roughly separates the macro- and femtocell users in frequency by imposing different allocation probabilities on different parts of the spectrum. Results show a significant FUE throughput improvement compared with an uniform allocation scheme.
An Evaluation of Methods for Combining Univariate Time Series Forecasts (2018)

This thesis presents and evaluates nineteen methods for combining up to eleven automated univariate forecasts. The evaluation is made by applying the methods on a dataset containing more than 1000 monthly time series. The accuracy of one period ahead forecasts is analyzed. Almost 3.2 million forecasts are evaluated in the study. Methods that are using past forecasts to optimally produce a combined forecast are included, along with methods that do not require this information. A pre-screening procedure to get rid of the poorest performing forecasting methods before the remaining ones are combined is evaluated. The results confirm that it is possible to achieve a superior forecast accuracy by combining forecasts. The best methods that utilize past forecasts tend to outperform the best methods that are not considering this data. Including a pre-screening procedure to remove inferior forecasts before combining forecasts from the top five ranked methods seems to increase the forecast accuracy. The pre-screening procedure consists of ranking the automated univariate forecasting methods using an independent, but relevant, dataset. The four best performing methods utilize the pre-screening procedure together with past forecasts to optimally combine forecasts. The best method computes the historical mean squared error of each individual method and weights them accordingly. Demand for automated procedures is growing as the size of datasets increases within organizations. Forecasting from a large set of time series is an activity that can take advantage of automated procedures. However, choosing which forecasting method to use is often problematic. One way of solving this is by combining multiple forecasts into a single forecast.
Runoff Phosphorus Losses from Surface‐Applied Biosolids (2005)

Runoff losses of dissolved and particulate phosphorus (P) may occur when rainfall interacts with manures and biosolids spread on the soil surface. This study compared P levels in runoff losses from soils amended with several P sources, including 10 different biosolids and dairy manure (untreated and treated with Fe or Al salts). Simulated rainfall (71 mm h(-1)) was applied until 30 min of runoff was collected from soil boxes (100 x 20 x 5 cm) to which the P sources were surfaced applied. Materials were applied to achieve a common plant available nitrogen (PAN) rate of 134 kg PAN ha(-1), resulting in total P loading rates from 122 (dairy manure) to 555 (Syracuse N-Viro biosolids) kg P ha(-1). Two biosolids produced via biological phosphorus removal (BPR) wastewater treatment resulted in the highest total dissolved phosphorus (13-21.5 mg TDP L(-1)) and total phosphorus (18-27.5 mg TP L(-1)) concentrations in runoff, followed by untreated dairy manure that had statistically (p = 0.05) higher TDP (8.5 mg L(-1)) and TP (10.9 mg L(-1)) than seven of the eight other biosolids. The TDP and TP in runoff from six biosolids did not differ significantly from unamended control (0.03 mg TDP L(-1); 0.95 mg TP L(-1)). Highest runoff TDP was associated with P sources low in Al and Fe. Amending dairy manure with Al and Fe salts at 1:1 metal-to-P molar ratio reduced runoff TP to control levels. Runoff TDP and TP were not positively correlated to TP application rate unless modified by a weighting factor reflecting the relative solubility of the P source. This suggests site assessment indices should account for the differential solubility of the applied P source to accurately predict the risk of P loss from the wide variety of biosolids materials routinely land applied.
METHODS FOR CALCULATING FRÉCHET DERIVATIVES AND SENSITIVITIES FOR THE NON‐LINEAR INVERSE PROBLEM: A COMPARATIVE STUDY<sup>1</sup> (1990)

A bstract A fundamental step in the solution of most non‐linear inverse problems is to establish a relationship between changes in a proposed model and resulting changes in the forward modelled data. Once this relationship has been established, it becomes possible to refine an initial model to obtain an improved fit to the observed data. In a linearized analysis, the Fréchet derivative is the connecting link between changes in the model and changes in the data. In some simple cases an analytic expression for the Fréchet derivative may be derived. In this paper we present three techniques to accomplish this and illustrate them by computing the Fréchet derivative for the ID resistivity problem. For more complicated problems, where it is not possible to obtain an expression for the Fréchet derivative, it is necessary to parameterize the model and solve numerically for the sensitivities ‐ partial derivatives of the data with respect to model parameters. The standard perturbation method for computing first‐order sensitivities is discussed and compared to the more efficient sensitivity‐equation and adjoint‐equation methods. Extensions to allow for the calculation of higher order, directional and objective function sensitivities are also presented. Finally, the application of these various techniques is illustrated for both the 1D and 2D resistivity problems.
Multi-enzyme membrane electrodes for determination of creatinine and creatine in serum. (1983)

An enzyme electrode system for the determination of creatinine and creatine was developed by utilizing three enzymes: creatinine amidohydrolase (CA), creatine amidinohydrolase (Cl), and sarcosine oxidase (SO). These enzymes were co-immobilized onto the porous side of a cellulose acetate membrane with asymmetric structure, which has selective permeability to hydrogen peroxide. Two kinds of multi-enzyme electrodes were constructed by combining a polarographic electrode for sensing hydrogen peroxide and an immobilized CA/Cl/SO membrane or Cl/SO membrane for creatinine plus creatine or creatine, respectively. The multi-enzyme electrodes responded linearly up to 100 mg of creatinine and creatine per liter in human serum. Response time was 20 s in the rate method and the detection limit was 1 mg/L. Only 25 microL of serum sample is required. Analytical recoveries, precisions, and correlations with the Jaffé method were excellent, and the multi-enzyme electrodes were sufficiently stable to perform more than 500 assays. No loss of activity of immobilized enzymes was observed after nine months of storage at 4 degrees C in air.
Detecting malware variants via function-call graph similarity (2010)

Currently, signature-based malware scanning is still the dominant approach to identify malware samples in the wild due to its low false positive rate. However, this approach concentrates on programs' specific instructions, and lacks insight into high level semantics; it is enduring challenges from advanced code obfuscation techniques such as polymorphism and metamorphism. To overcome this shortcoming, this paper extracts a program's function-call graph as its signature. The paper presents a method to compute similarity between two binaries on basis of their function-call graph similarity. The proposed method relies on static analysis of a program, it first disassembles the program into assemble code, and then it uses a novel algorithm to construct the function-call graph from the assembly instructions. After that, it proposes a simple but effective graph matching method to compute similarity between two binaries. A prototype is implemented and evaluated on several well-known malware families and benign programs.
Personal authentication based on generalized symmetric max minimal distance in subspace (2003)

We introduce an improved classification algorithm based on the concept of symmetric maximized minimal distance in subspace (SMMS). Given the training data of authentic samples and imposter samples in the feature space, our previous approach, SMMS, tried to identify a subspace in which all the authentic samples were projected onto the origin and all the imposter samples were far away from the origin. The optimality of the subspace was determined by maximizing the minimal distance between the origin and the imposter samples in the subspace. The generalized SMMS relaxes the constraint of fitting all the authentic samples to the origin in the subspace to achieve the optimality and considers the optimal direction of the linear support-vector machines (SVM) as a feasible solution in our optimization procedure to guarantee that our result is no worse than the linear SVM. We present a procedure to achieve such optimality and to identify the subspace and the decision boundary. Once the subspace is trained, the verification procedure is simple since we only need to project the test sample onto the subspace and compare it against the decision boundary. Using face authentication as an example, we show that the proposed algorithm outperforms the linear classifier based on SMMS and SVM. The proposed algorithm also applies to multimodal feature spaces. The features can come from any modalities, such as face images, voices, fingerprints, etc.
Application-Specific Wear Leveling for Extending Lifetime of Phase Change Memory in Embedded Systems (2014)

Phase change memory (PCM) has been proposed to replace NOR flash and DRAM in embedded systems because of its attractive features. However, the endurance of PCM greatly limits its adoption in embedded systems. As most embedded systems are application-oriented, we can tackle the endurance problem of PCM by exploring application-specific features such as fixed access patterns and update frequencies. In this paper, we propose an application-specific wear leveling technique, called Curling-PCM, to evenly distribute write activities across the whole PCM chip to improve the endurance of PCM in embedded systems. The basic idea is to exploit application-specific features in embedded systems and periodically move the hot region across the whole PCM chip. To reduce the overhead of moving the hot region and improve the performance of PCM-based embedded systems, a fine-grained partial wear leveling policy is proposed for Curling-PCM, by which only part of the hot region is moved during each request handling period. Experimental results show that Curling-PCM can effectively evenly distribute write traffic for a prime application of PCM in embedded systems. We expect this paper can serve as a first step toward the full exploration of application-specific features in PCM-based embedded systems.