gebhart/patrepeval huggingface dataset:
Prediction of Drug Content and Hardness of Intact Tablets Using Artificial Neural Network and Near-Infrared Spectroscopy (2001)

The purpose of this study was to predict drug content and hardness of intact tablets using artificial neural networks (ANN) and near-infrared spectroscopy (NIRS). Tablets for the drug content study were compressed from mixtures of Avicel PH-101, 0.5% magnesium stearate, and varying concentrations (0%, 1%, 2%, 5%, 10%, 20%, and 40% w/w) of theophylline. Tablets for the hardness study were compressed from mixtures of Avicel PH-101 and 0.5% magnesium stearate at varying compression forces ranging from 0.4 to 1 ton. An Intact Analyzer was used to obtain near infrared spectra from the tablets with varying drug contents, whereas a Rapid Content Analyzer (RCA) was used to obtain spectral data from the tablets with varying hardness. Two sets of tablets from each batch (i.e., tablets with varying drug content and hardness) were randomly selected. One set of tablets was used to generate appropriate calibration models, while the other set was used as the unknown (test) set. A total of 10 ANN calibration models (5 each with 10 and 160 inputs at appropriate wavelengths) and five separate 4-factor partial least squares (PLS) calibration models were generated to predict drug contents of the test tablets from the spectral data. For the prediction of tablet hardness, two ANN calibration models (one each with 10 and 160 inputs) and two 4-factor PLS calibration models were generated and used to predict the hardness of test tablets. The PLS calibration models were generated using Vision software. Prediction of drug contents of test tablets using the ANN calibration models generated with 10 inputs was significantly better than the prediction obtained with the ANN calibration models with 160 inputs. For tablets with low drug concentrations (less than or equal to 2% w/w) prediction of drug content was better with either of the two ANN calibration models than with the PLS calibration models. However, prediction of drug contents of tablets with greater than or equal to 5% w/w drug was better with the PLS calibration models than with the ANN calibration models. Prediction of tablet hardness was better with the ANN calibration models generated with either 10 or 160 inputs than with the PLS calibration models. This work demonstrated that a well-trained ANN model is a powerful alternative technique for analysis of NIRS data. Moreover, the technique could be used in instances when the conventional modeling of data does not work adequately.
SAVI Solution for DHCPv4/v6 (2009)

This document specifies the Control Packet Snooping (CPS) mechanism
for IP version 4 and IP version 6. This mechanism is used to set up
binding between authorized source IP address of host and
corresponding anchor on the access network device, including switch
and wireless access point. The bindings are used to perform source
address validation on packets sent by host.
Phosphodiesterase Type 5 Inhibitors Increase Herceptin Transport and Treatment Efficacy in Mouse Metastatic Brain Tumor Models (2010)

These findings suggest that PDE5 inhibitors may effectively modulate BTB permeability, and enhance delivery and therapeutic efficacy of monoclonal antibodies in hard-to-treat brain metastases from different primary tumors that had metastasized to the brain.
Older Low-Efficient Boilers Brown Coal-Fired, Generated Emissions and Diffusion of Imissions (2006)

At thermooxidizing processes generating energy from natural solid fuels, heat as its main product is accompanied with side products - solid waste and emissions, resulting in unfavourable effects on the environment. This contribution deals with the results of measurements and analyses regarding an old-fashioned type boiler unit fired by solid fuel. It showed low efficiency of older brown coal fired boilers currently used in many small companies. All of them generate pollutants - gaseous as well as solid emissions polluting the environment. Thus, they cause environmental damage in spite of their meeting emission and imission limits within their category. The imission value of tar component at low temperature of flue gases in fireplace and short time of flue gas remaining in fireplaces causes the presence of some components over the permissible imission limit.
Recent Advances of Structures Monitoring and Evaluation Using GPS-Time Series Monitoring Systems: A Review (2017)

This paper presents the recent development in Structural Health Monitoring (SHM) applications for monitoring the dynamic behavior of structures using the Global Positioning Systems (GPS) technique. GPS monitoring systems for real-time kinematic (RTK), precise point positioning (PPP) and the sampling frequency development of GPS measurements are summarized for time series analysis. Recent proposed time series GPS monitoring systems, errors sources and mitigation, as well as system analysis and identification, are presented and discussed.
Comparison of Yttrium and Indium Complexes of DOTA-BA and DOTA-MBA:  Models for <sup>90</sup>Y- and <sup>111</sup>In-Labeled DOTA−Biomolecule Conjugates (2002)

Yttrium and indium complexes of 1,4,7,10-tetraaza-4,7,10-tris(carboxymethyl)-1-cyclododecylacetylbenzylamine (DOTA-BA) and 1,4,7,10-tetraaza-4,7,10-tris(carboxymethyl)-1-cyclododecylacetyl-R-(+)-alpha-methylbenzylamine (DOTA-MBA) were prepared in order to study solution structures of (90)Y- and (111)In-labeled DOTA-biomolecule conjugates. (90)Y and (111)In complexes M(L) (M = (90)Y and (111)In; L = DOTA-BA and DOTA-MBA) were prepared from the reaction of MCl(3) with DOTA-BA and DOTA-MBA, respectively, in ammonium acetate buffer. A reverse phase HPLC method revealed that both (90)Y and (111)In complexes show only one radiometric peak in their radio-HPLC chromatograms. It was also found that (111)In(DOTA-BA) and (111)In(DOTA-MBA) are more hydrophilic than their corresponding (90)Y analogues, suggesting different coordination spheres in (111)In and (90)Y complexes of the same DOTA conjugate. Complexes M(L) (M = Y and In; L = DOTA-BA and DOTA-MBA) were prepared and characterized by HPLC, LC-MS, and NMR ((1)H and (13)C) methods. The HPLC concordance experiments for (90)Y(DOTA-MBA)/Y(DOTA-MBA) and (111)In(DOTA-MBA)/In(DOTA-MBA) show that the same complex is prepared at both tracer and macroscopic levels. The NMR data ((1)H and (13)C) clearly demonstrates that Y(DOTA-BA) and Y(DOTA-MBA) exist in solution as one predominant isomer. VT NMR data ((1)H and (13)C) show that In(DOTA-BA) and In(DOTA-MBA) are fluxional at room temperature while Y(DOTA-BA) and Y(DOTA-MBA) become fluxional only at elevated temperatures. The fluxionality of these complexes is due to rapid rotation of acetate/acetamide chelating arms and inversion of ethylenic groups of the macrocyclic ring.
A note on the error propagation analysis of recursive least squares algorithms (1994)

The article comments on the error propagation analysis of recursive least squares algorithms presented by Ljung and Ljung (1985), Verhaegen (1989), and Haykin (1991). In particular, it corrects some incorrect statements about the error propagation given in the literature. It considers the problem of spatial adaptive filtering using the RLS minimization.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Recent Advances in MEMS-Based Microthrusters (2019)

With the development of micro/nano satellites and formation flying, more advanced spatial propulsion technology is required. In this paper, a review of microthrusters developments that based on micro electromechanical systems (MEMS) technology adopted in microthrusters is summarized. The microthrusters in previous research are classified and summarized according to the types of propellants and the working principles they utilized. The structure and the performance including the thrust, the impulse and the specific impulse of various microthrusters are compared. In addition, the advantages and the disadvantages of these microthrusters presented in the paper are discussed.
Notice of Removal A high resolution FPGA-based TDC with nonlinearity calibration (2012)

This paper proposes multi-path delay line (MPDL) time-to-digital converter (TDC). Instead of traditional tapped delay line (TDL) TDC, the proposed MPDL-TDC can improve the linearity performance effectively. Implemented in a Xilinx XC5VLX110T-1FF1136 field-programmable gate array (FPGA) device, the proposed MPDL-TDC has 60 ps time resolution, and the ranges of differential non-linearity (DNL) and integral non-linearity (INL) are [-0.52,0.52] and [-0.79,1.06] least-significant-bit (LSB), respectively. Furthermore, 37.25 ps root-mean-square (RMS) is measured for the proposed MPDL-TDC inputting a constant delay source. Therefore, the proposed MPDL-TDC is recommended to implement in FPGA-based TDC achieving a high-resolution time and linearity performance.
A Review of Optical Imagery and Airborne LiDAR Data Registration Methods (2012)

Representing a scene completely from remote sensing data requires both spectral and 3-D-surface information.Integration of spectral information from optical images and 3-D-surface information from LiDAR is important in a number of remote sensing applications such as feature extraction, image classification, image analysis, building extraction, 3-D city modelling, canopy modelling etc.Therefore, numerous methods have been developed in the last decade to align both data sets into a common reference frame to effectively utilize their complementary characteristics.However, due to the significantly different characteristics between optical image and LiDAR data, there are a number of technical challenges in the alignment of both data sets.Different research papers introduced different strategy or methodology to overcome the challenges, reaching different alignment/registration results.This paper presents a review of classical and up to date optical-LiDAR registration methods with the emphasis on control point detection and matching.The aim of this paper is to provide readers with an overview of existing methods, identify their advantages and limitations, and give readers the overall information on what will be useful for researchers and practitioners to realistically select proper method for their application.
Long-Term Stability of SOFC Composite Cathode Activated by Electrocatalyst Infiltration (2012)

Changes in cell performance with operation time were investigated for commercial cells possessing a composite cathode modified by nanostructured La0.6Sr0.4CoO3-δ (LSCo). The electrocatalyst was introduced into a porous scaffold composed of Sm2O3-doped CeO2 (SDC) and La1-xSrxCoyFe1-yO3-δ (LSCF) by solution infiltration, which decreased polarization resistance (Rp) of baseline cells by 20-35%. Rp of both a baseline cell and an infiltrated cell increased as the operation progressed for 1,500 h, while obeying a parabolic power law and showing 65% of total increase in the initial 150 hours. The degradation rate of the infiltrated cell was statistically indistinguishable from that of the baseline cell, implying that there was no measurable negative effect of infiltrated electrocatalysts on the cells' time-dependent performance for the systems studied here. The stability of the infiltrated cathode was affirmed by multiple samples tested for 200 hours. AC impedance spectra analysis demonstrated that degradation of cathode activity would be the critical mechanism affecting long-term stable performance for both baseline cells and infiltrated cells.
Megapharm: Production Efficiency or Customer Prioritization (2019)

The author presents a study case that allows analyzing first, the pros and cons of two antagonist operations programming systems for make-to-order products: (a) FIFO with main customers’ prioritization; and (b) on a monthly basis, according of the orders received that month. Secondly, it allows the analysis of the difference between productivity improvement and competitiveness improvement. Finally, the case allows the analysis of the vertical integration between of the two main members of a supply chain: The producer and the distributor; although, in this particular case, the distributor owns the product brands and is also owns the producer company. The case allows the use of basic statistical tools, as Pareto analysis and forecasting. This case is to be used in supply chain management courses at MBA programs as well as in other post-graduate courses. It covers the topics of vertical integration and strategic decision making regarding a supply chain structure configuration.
Survival Analysis based Framework for Early Prediction of Student Dropouts (2016)

Retention of students at colleges and universities has been a concern among educators for many decades. The consequences of student attrition are significant for students, academic staffs and the universities. Thus, increasing student retention is a long term goal of any academic institution. The most vulnerable students are the freshman, who are at the highest risk of dropping out at the beginning of their study. Therefore, the early identification of {\emph{``at-risk''}} students is a crucial task that needs to be effectively addressed. In this paper, we develop a survival analysis framework for early prediction of student dropout using Cox proportional hazards regression model (Cox). We also applied time-dependent Cox (TD-Cox), which captures time-varying factors and can leverage those information to provide more accurate prediction of student dropout. For this prediction task, our model utilizes different groups of variables such as demographic, family background, financial, high school information, college enrollment and semester-wise credits. The proposed framework has the ability to address the challenge of predicting dropout students as well as the semester that the dropout will occur. This study enables us to perform proactive interventions in a prioritized manner where limited academic resources are available. This is critical in the student retention problem because not only correctly classifying whether a student is going to dropout is important but also when this is going to happen is crucial for a focused intervention. We evaluate our method on real student data collected at Wayne State University. Results show that the proposed Cox-based framework can predict the student dropouts and semester of dropout with high accuracy and precision compared to the other state-of-the-art methods.
Amazigh audiovisual speech recognition system design (2017)

It is well known that speech recognition is a multimodal process which uses information not only from audio but also from vision. This paper describes our experience to design an audio visual speech recognition system, which relates the acoustic and the visual information in order to improve noise robustness of automatic speech recognition. The accuracy rate for face and mouth detection using Viola-Jones approach was satisfactory (reaches to 99% and 96.6% for face and mouth detection respectively).
Conical magnetic bearings with radial and thrust control (1992)

Conical magnetic bearings with radial and thrust (axial) control are discussed. First a model of the conical bearing is made in state variable form. Airgap flux, airgap displacement, and velocity are used as state variables. A control method based on recent developments in control theory is proposed. The method is called Q-parameterization theory and is used to design a stabilizing controller for the system which, without control, is unstable in nature. The controller parameters are chosen using console (a software tandem for interactive optimization-based design) so that all design requirements are satisfied. Digital simulation was used to verify the proposed control method. Transient responses, forced responses in all three directions (vertical, horizontal, and axial), and the interactions between them are obtained. The results obtained are satisfactory and suggest the robustness of the proposed technique.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Answering Structured Queries on Unstructured Data. (2006)

There is growing number of applications that require access to both structured and unstructured data. Such collections of data have been referred to as dataspaces, and Dataspace Support Platforms (DSSPs) were proposed to offer several services over dataspaces, including search and query, source discovery and categorization, indexing and some forms of recovery. One of the key services of a DSSP is to provide seamless querying on the structured and unstructured data. Querying each kind of data in isolation has been the main subject of study for the fields of databases and information retrieval. Recently the database community has studied the problem of answering keyword queries on structured data such as relational data or XML data. The only combination that has not been fully explored is answering structured queries on unstructured data. This paper explores an approach in which we carefully construct a keyword query from a given structured query, and submit the query to the underlying engine (e.g., a web-search engine) for querying unstructured data. We take the first step towards extracting keywords from structured queries even without domain knowledge and propose several directions we can explore to improve keyword extraction when domain knowledge exists. The experimental results show that our algorithm works fairly well for a large number of datasets from various domains. 1.
A multivariate contrast enhancement technique for multispectral images (1995)

Multispectral and true-color images are often enhanced using histogram-based methods, usually by adjustment of color components after transformation to a selected secondary color system. Enhancement aimed toward the preservation of certain important perceptual qualities generally calls for the secondary coordinate system to be perceptually based. However, independent modification of the secondary components seldom uses the full extent of the RGB gamut unless some color values are clipped at the RGB boundaries. Preserving perceptual attributes is sometimes less important than obtaining the greatest possible color contrast improvement. This is especially true for color composites derived from multispectral images, which have no significant basis in human perception. A new multivariate enhancement technique the authors have named "histogram explosion" is able to exploit nearly the full RGB extent without clipping. While not generally based upon a perceptual model, the method can preserve original hue values when parameters are chosen properly. Experimental results of histogram explosion are presented, along with an analysis of its computational complexity.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Exploiting cache coherence for effective on-the-fly data tracing in multicores (2016)

Software testing and debugging of modern embedded computer systems become increasingly a challenging task due to growing hardware and software complexity, increased integration and miniaturization, and ever tightening time-to-market. To find software bugs faster, developers often rely on on-chip trace and debug resources. However, these resources offer limited visibility of the system, increase the system cost, and do not scale well with a growing number of processor cores. This paper introduces a new hardware/software mechanism for capturing and filtering load data value traces in multicores that enables a complete reconstruction of a parallel program execution. The proposed mechanism exploits data caches and cache coherence protocol states to minimize the number of trace events that are necessary to stream out of the target platform to the software debugger. The mechanism relies on a single trace bit per data cache block, thus minimizing the cost of hardware implementation. Our experimental evaluation explores the effectiveness of the proposed technique by measuring the trace port bandwidth as a function of the cache size and the number of processor cores. The results show that the proposed mechanism significantly reduces the required trace port bandwidth when compared to the Nexus-like load data value tracing. Depending on data cache size, the improvements range from 9.9 to 23.5 times for single cores and from 18.6 to 37.3 times for octa cores.
Nanocarbon-copper thin film as transparent electrode (2015)

Researchers seeking to enhance the properties of metals have long pursued incorporating carbon in the metallic host lattice in order to combine the strongly bonded electrons in the metal lattice that yield high ampacity and the free electrons available in carbon nanostructures that give rise to high conductivity. The incorporation of carbon nanostructures into the copper lattice has the potential to improve the current density of copper to meet the ever-increasing demands of nanoelectronic devices. We report on the structure and properties of carbon incorporated in concentrations up to 5 wt. % (∼22 at. %) into the crystal structure of copper. Carbon nanoparticles of 5 nm–200 nm in diameter in an interconnecting carbon matrix are formed within the bulk Cu samples. The carbon does not phase separate after subsequent melting and re-solidification despite the absence of a predicted solid solution at such concentrations in the C-Cu binary phase diagram. This material, so-called, Cu covetic, makes deposition of Cu films containing carbon with similar microstructure to the metal possible. Copper covetic films exhibit greater transparency, higher conductivity, and resistance to oxidation than pure copper films of the same thickness, making them a suitable choice for transparent conductors.
Good Automatic Authentication Question Generation (2016)

We explore a novel application of Question Generation (QG) for authentication use, where questions are widely used to verify user identity for online accounts. In our approach, we prompt users to provide a few sentences about their personal life events. We transform user-provided input sentences into a set of simple fact-based authentication questions. We compared our approach with previous QG systems, and evaluation results show that our approach yielded better performance and the promise of future personalized authentication question generation.