gebhart/patrepeval huggingface dataset:
Load classification and appliance fingerprinting for residential load monitoring system (2010)

Previous work on residential load monitoring has attempted to address different requirements including the systematic collection of information about electric power consumption for load research purpose, the provision of a detailed consumption report to facilitate energy conservation practices and the monitoring of critical loads for fault diagnostics. This work focuses on developing methods for appliance fingerprinting that is foreseen to be an integral part of an automatic residential load monitoring system. Various approaches outlined in previous research form the basis for the concepts developed in this thesis. In addition, an extensive series of measurement work was performed on several household appliances in order to acquire the necessary operation data for building the technique and also to explore the extent up to which residential loads can be categorized into distinct groups. The fingerprinting process proposed in this work employs three main phases: feature extraction of electrical attributes, event detection and pattern recognition. Test results obtained at different stages of the work using the measurement data are also discussed in detail. Such studies are necessary to enable utilities to manage their networks reliably and efficiently, and also to encourage the active participation of consumers in energy conservation programs.
Introduction (2007)

During the last three decades, the post-Second World War international order has been challenged by a series of developments through which the market economy, with its self-regulating character taken for granted, has begun to be perceived as a spontaneous process that comes into being when artificial barriers in the form of state intervention are eliminated. In a parallel vein, the possibility of shaping the economy in conformity with social objectives by the exercise of political will has been restricted by the logic of the market.KeywordsMarket EconomyGreat TransformationDouble MoveWelfare CapitalismInstitutional TensionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Adaptive Sampling with the Ensemble Transform Kalman Filter. Part I: Theoretical Aspects (2001)

A suboptimal Kalman filter called the ensemble transform Kalman filter (ET KF) is introduced. Like other Kalman filters, it provides a framework for assimilating observations and also for estimating the effect of observations on forecast error covariance. It differs from other ensemble Kalman filters in that it uses ensemble transformation and a normalization to rapidly obtain the prediction error covariance matrix associated with a particular deployment of observational resources. This rapidity enables it to quickly assess the ability of a large number of future feasible sequences of observational networks to reduce forecast error variance. The ET KF was used by the National Centers for Environmental Prediction in the Winter Storm Reconnaissance missions of 1999 and 2000 to determine where aircraft should deploy dropwindsondes in order to improve 24–72-h forecasts over the continental United States. The ET KF may be applied to any well-constructed set of ensemble perturbations. The ET KF technique supercedes the ensemble transform (ET) targeting technique of Bishop and Toth. In the ET targeting formulation, the means by which observations reduced forecast error variance was not expressed mathematically. The mathematical representation of this process provided by the ET KF enables such things as the evaluation of the reduction in forecast error variance associated with individual flight tracks and assessments of the value of targeted observations that are distributed over significant time intervals. It also enables a serial targeting methodology whereby one can identify optimal observing sites given the location and error statistics of other observations. This allows the network designer to nonredundantly position targeted observations. Serial targeting can also be used to greatly reduce the computations required to identify optimal target sites. For these theoretical and practical reasons, the ET KF technique is more useful than the ET technique. The methodology is illustrated with observation system simulation experiments involving a barotropic numerical model of tropical cyclonelike vortices. These include preliminary empirical tests of ET KF predictions using ET KF, 3DVAR, and hybrid data assimilation schemes—the results of which look promising. To concisely describe the future feasible sequences of observations considered in adaptive sampling problems, an extension to Ide et al.’s unified notation for data assimilation is suggested.
Identification of a proteolipid oligomer as a constituent part of CF<sub>0</sub>, the proton channel of the chloroplast ATP synthase (1989)

We studied the action of the photophosphorylation inhibitor, N,N ′‐dicyclohexylcarbodiimide (DCCD) on the channel portion (CF 0 ) of the chloroplast ATP synthase (CF 0 CF 1 ). We found that the target for binding of [ 14 C]DCCD was an oligomer of the small proteolipid‐subunit (subunit III) of CF 0 . We treated thylakoids with low concentrations of DCCD, sufficient to inhibit photophosphorylation. The 14 C‐labelled inhibitor was found on polyacrylamide gels in a position corresponding to an apparent molecular mass of 50 kDa. This band comprised a homooligomer of proteolipid subunits of CF 0 . At higher concentrations of DCCD, it fell apart into proteolipid monomers. This dissociation was prevented by the presence of venturicidin, another CF 0 inhibitor acting on the proteolipid subunit, during the incubation with DCCD. The existence of such an oligomeric substructure in CF 0 is discussed in the light of diverging structural models for the proton channel of F 0 F 1 ‐type ATPases.
Prioritizing Program Elements: A Pretesting Effort to Improve Software Quality (2012)

Improving the efficiency of a testing process is a challenging task. Prior work has shown that often, a small number of bugs account for the majority of the reported software failures; and often, most bugs are found in a small portion of the source code of a program. First, prioritizing the code elements according to their criticality and then conducting testing, will promote to reveal the important bugs at the early phase of testing. Keeping it in view, we propose an efficient test effort prioritization method that give a chance to the tester to focus more on the parts of the source code that are highly influenced towards the system failures or in which, the failures have high impact on the system. We consider five important factors such as influence towards system failures, average execution time, structural complexity, severity, and business value associated with a component and estimates the criticality of the component within a system. We have experimentally proved that our proposed test effort prioritization approach is effective in revealing important bugs at the early phase of testing as it is linked to external measure of defect severity and business value, internal measure of frequency, complexity, and coupling.
On the Ordering of Connections for Automatic Wire Routing (1972)

Most wire-routing programs utilize a maze-running technique to route one connection at a time. Once routed, a wire cannot be moved even if it is subsequently discovered to interfere with the successful completion of other connections. The order in which the desired connections are presented to the routing algorithm has therefore been thought to be of critical importance. Experimental evidence is presented, however, to show that the performance of a router, when measured in terms of the total of the minimum (or ideal) lengths of the connections successfully completed, is, in fact, independent of the order in which connections are attempted.
“I Never Thought About Securing My Machine Learning Systems”: A Study of Security and Privacy Awareness of Machine Learning Practitioners (2021)

Machine learning (ML) models have become increasingly important components of many software systems. Therefore, ensuring their privacy and security is a crucial task. Current research mainly focuses on the development of security and privacy methods. However, ML practitioners, as the individuals in charge of translating the theory into practical applications, have not yet received much attention. In this paper, the security and privacy awareness and practices of ML practitioners are studied through an online survey with the aim of (1) gaining insight into the current state of awareness, (2) identifying influencing factors, and (3) exploring the actual use of existing methods and tools. The results indicate a relatively low general privacy and security awareness among the ML practitioners surveyed. In addition, they are less familiar with ML privacy protection methods than with general security methods or ML-related ones. Moreover, awareness correlates with the years of working with ML but not with the level of academic education or the field of occupation. Finally, the practitioners in this study seem to experience uncertainties in implementing legal frameworks, such as the European General Data Protection Regulation, into their ML workflows.
Características de las dislopoproteinemias mas frecuentes en Venezuela estudiadas mediante un análisis de ultracentrifugación preparativa (1987)

Presentamos los resultados de la determinacion de las lipoproteinas del plasma en 400 sujetos de la zona central de Venezuela, analizados mediante el analisis de fracciones Iipoproteicas separadas por ultracentrifugacion preparativa. Se dan los detalles del metodo de fraccionamiento que ha permitido una buena recuperacion, precision y una baja variabilidad metodologicas. En los hiperlipoproteinemicos, tanto en hombres como mujeres, se observa que mas de un 80% de los casos presentan una concentracion elevada de VLDL. Ademas, la composicion de la VLDL esta alterada a juzgar por la relacion Colesterol/Trigliceridos la cual es superior en los pacientes que en los normales. Estas hiperlipoproteinemias, por tanto, no solo se caracterizan por un aumento de la concentracion de los lipidos sino tambien por una alteracion de la distribucion de la amplia gama de moleculas con densidad menor de 1,006 g/mI. La disminucion de la HDL se observo con frecuencia notoria aun en los sujetos normales (22% de los hombres 6 y 33% de las mujeres). En los hiperlipoproteinemicos la proporcion de hipoalfalipoproteinemias es cercana o superior al 50% en los distintos grupos.
718. Synthesis of lapachenole (1956)

R. Livingstone and R. B. Watson, J. Chem. Soc., 1956, 3701 DOI: 10.1039/JR9560003701
Spectrum and spectral density estimation by the Discrete Fourier transform (DFT), including a comprehensive list of window functions and some new at-top windows (2002)

This report tries to give a practical overview about the estimation of power spectra/power spectral densities using the DFT/FFT. One point that is emphasized is the relationship between estimates of power spectra and power spectral densities which is given by the effective noise bandwidth (ENBW). Included is a detailed list of common and useful window functions, among them the often neglected flat-top windows. Special highlights are a procedure to test new programs, a table of comprehensive graphs for each window and the introduction of a whole family of new flat-top windows that feature sidelobe suppression levels of up to -248 dB, as compared with -90 dB of the best flat-top windows available until now.
Economics of Bovine Tuberculosis (2006)

This chapter contains sections titled: Introduction Review of Existing Production and Economic Assessments of the Effects of Bovine TB Transsectoral (Public Health, Agriculture, Environment) Economic Analysis of Bovine TB Control Developing World Perspectives-Sub-Saharan Africa and Outlook to Financing Acknowledgment
Improved lossless coding algorithm in H.264/AVC based on hierarchical intraprediction and coding-mode selection (2011)

In this paper, an improved lossless intracoding algorithm based on H.264/AVC framework is proposed. In the proposed algorithm, two contributions have been made. One is that samples in a macroblock (MB)/block are hierarchically predicted instead of using block-based prediction as a whole. More specifically, four groups are extracted from the samples in an macroblock/block. Samples in the first group are first predicted based on directional intraprediction method, and then the samples in other groups are predicted using the samples in the first group as the references. As a result, the information left in the residual block can be reduced since the samples can be accurately predicted by using nearer references. The other contribution is that two coding modes are designed to efficiently encode the resulting residual block. A better coding mode can be selected based on the rate optimization. Experimental results show that compared with other methods in the literature the proposed algorithm gives a much better compression performance.
Mesh cutting for aided 3D digital model setup and planning (2008)

This paper is a part of the development on 3D orthodontic diagnosis and treatment plan system. This paper presents the development of three-dimensional mesh cutting for aided orthodontic software using Borland C++ Builder® and OpenGL. The purpose of this article is to describe a quick and easy method that provides complete 3-dimensional views of the dental cast in STL format, and mesh cutting technique for aided 3D digital model and planning. Users can cut and separate each tooth from the dental cast by simply drawing a line on the cast. Then program will generate the vertical plane to obtain the cutting results. Next the users allow moving and rearranging each tooth automatically or individually to lie along the arch form curve for treatment planning.
Evolution and expression analysis of starch synthase III and IV in rice (2005)

Plants contain at least five subfamilies of starch synthases, granule bound starch synthase (GBSS) and starch synthases I, II, III, and IV (SSI, SSII, SSIII, SSIV). In this work, two members of SSIII and SSIV, respectively, were cloned and designated OsSSIII-1/-2 and OsSSIV-1/-2 in rice. Together with six other previously reported genes, the SS gene family in rice therefore is known to be duplicated and to comprise ten SS genes distributed among the five subfamilies. The starch synthase activity of each SS was confirmed by expression and enzyme activity assay in E. coli. Expression profile analysis with reverse transcription-PCR, western blotting and zymogram, indicates that OsSSIII-2 and OsSSIV-1 are mainly expressed in endosperm, while OsSSIII-1 and OsSSIV-2 are mainly expressed in the leaves. With a similar pattern of genes encoding other enzymes for starch synthesis, (such as GBSS, SSII, ADP-glucose pyrophosphorylases, and branching enzymes), it is suggested that two divergent groups of these genes should be classified in rice. Group I genes are preferentially expressed in the endosperm and function on storage starch synthesis. Group II genes are mainly expressed in leaves and some of them in the early developing endosperm, and function on transient starch synthesis in rice.
Photoisomerization in a Platinum−Amido Pincer Complex: An Excited-State Reaction Pathway Controlled by Localized Ligand Photochemistry (2010)

Computational investigations of the electronic spectroscopy and photochemical isomerization in the complex (bis(8-quinolinyl)amido)PtMe2I are presented. Time-dependent density functional theory, in conjunction with the polarizable continuum solvent model, reproduce the experimental spectra for the mer and fac isomers well. The nature of the initially populated states for the mer isomer are ππ* in nature and localized on the BQA ligand. Geometry optimization shows that the system relaxes in the excited manifold to a fac-like geometry in the S1 electronic state. Complete active space self-consistent field (CASSCF) calculations show that there exists a sloped conical intersection that connects the excited- and ground-state fac species, allowing for radiationless deactivation in fac-like geometries.
Cross-Layer Design for Energy Efficiency on Data Center Network (2012)

Energy efficient infrastructures or green IT (Information Technology) has recently become a hot button issue for most corporations as they strive to eliminate every ineﬃciency from their enterprise IT systems and save capital and operational costs. Vendors of IT equipment now compete on the power eﬃciency of their devices, and as a result, many of the new equipment models are indeed more energy eﬃcient. Various studies have estimated the annual electricity consumed by networking devices in the U.S. in the range of 6 - 20 Terra Watt hours. Our research has the potential to make promising solutions solve those overuses of electricity. An energy-efficient data center network architecture which can lower the energy consumption is highly desirable. First of all, we propose a fair bandwidth allocation algorithm which adopts the max-min fairness principle to decrease power consumption on packet switch fabric interconnects. Specifically, we include power aware computing factor as high power dissipation in switches which is fast turning into a key problem, owing to increasing line speeds and decreasing chip sizes. This efficient algorithm could not only reduce the convergence iterations but also lower processing power utilization on switch fabric interconnects. Secondly, we study the deployment strategy of multicast switches in hybrid mode in energy-aware data center network: a case of famous Fat-tree topology. The objective is to ﬁnd the best location to deploy multicast switch not only to achieve optimal bandwidth utilization but also minimize power consumption. We show that it is possible to easily achieve nearly 50% of energy consumption after applying our proposed algorithm. Finally, although there exists a number of energy optimization solutions for DCNs, they consider only either the hosts or network, but not both. We propose a joint optimization scheme that simultaneously optimizes virtual machine (VM) placement and network ﬂow routing to maximize energy savings. The simulation results fully demonstrate that our design outperforms existing host- or network-only optimization solutions, and well approximates the ideal but NP-complete linear program. To sum up, this study could be crucial for guiding future eco-friendly data center network that deploy our algorithm on four major layers (with reference to OSI seven layers) which are physical, data link, network and application layer to benefit power consumption in green data center.
The impact of topical phenytoin on recalcitrant neuropathic diabetic foot ulceration (2009)

Topical phenytoin can enhance wound healing in recalcitrant neuropathic diabetic foot ulcers, although only one-quarter of patients achieved more than 50% reduction in ulcer size after eight weeks of therapy. Further research is needed to characterise those patients who will satisfactorily respond to such therapy.
The complete mitochondrial genome of the hybrid of<i>Ctenopharyngodon idella</i>(♀) ×<i>Squaliobarbus curriculus</i>(♂) (2013)

The complete mitochondrial genome sequence of the hybrid of Ctenopharyngodon idella (♀) × Squaliobarbus curriculus (♂) was determined using PCR-based method. The total length of the mitogenome is 16,609 bp. It contains the typical structure as that of most other vertebrates, including 2 ribosomal RNA genes, 13 protein-coding genes, 22 transfer RNA genes, and 1 non-coding control region (D-loop region). The overall composition of the mitogenome was estimated to be 31.86% for A, 26.08% for T, 26.38% for C, and 15.68% for G, respectively, indicating that an A+T (57.94%)-rich feature occurs in the hybrid mitogenome. Both the termination-associated sequence and three conserved sequence blocks (CSB1, CSB2, and CSB3) were also detected in the D-loop region.
Correctness verification of VLSI modules supported by a very efficient Boolean prover (2003)

A description is given of efficient techniques for checking tautology of a Boolean expression, i.e. whether two Boolean expressions are equivalent, taking into account 'don't care' behavior if necessary. If two Boolean expressions appear to be not equivalent, a test case is generated. The tautology checker has been developed to perform functional and logical verification of combinational modules and is integrated in an environment for formal electrical verification. Its efficiency is based on a delicate and optimized interaction between a carefully chosen set of Boolean rewriting rules and a number of heuristics. A number of test cases show its performance as compared to existing tautology checkers. Figures on industrial PLAs are included.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
TREATMENT OF URINARY STRESS INCONTINENCE WITH RESULTS IN 117 PATIENTS TREATED BY ACTIVE EXERCISE OF PUBOCOCCYGEI (1952)

Department of Obstetrics and Gynecology, University of Southern California, and the Los Angeles County Hospital, Los Angeles, California
Population et pollution aux États-Unis depuis 1946 (1972)

H. J. Population et pollution aux Etats-Unis depuis 1946. In: Population, 27ᵉ année, n°3, 1972. pp. 520-522.
Incorporating Personalized Contextual Information in Item-based Collaborative Filtering Recommendation (2010)

After reviewing the prior work and problem of collaborative filtering recommendation approaches, an approach incorporating personalized contextual information in item-based collaborative filtering is proposed to solve the problem. The approach provides recommendations based on user personalized contextual information besides the typical information on users and items used in most of the current recommendation systems. In this paper, several approaches are proposed to calculate context-based item differences, learn personalized contextual information for every user and predict ratings based on well-known item-based collaborative filtering Slope One. Finally, we experimentally evaluate our approach and compare it to Slope One. The experiment al results show that our approach provide s more precision recommendations than Slope One.
Effects of age and frequency of ejaculation on sperm production and extragonadal sperm reserves in stallions. (1979)

President Roosevelt briefly greets a crowd in Wakeeney, Kansas. He speaks of the changes he has witnessed between his visits to Kansas, including the alfalfa, stock, and experiments in agriculture. He also discusses the nature of work.
Efficiency of Methylated DNA Immunoprecipitation Bisulphite Sequencing for Whole-Genome DNA Methylation Analysis (2016)

MeDIP-BS is a practical cost-effective method for analyzing whole-genome DNA methylation that is highly accurate at base-pair resolution.
Inhaled Immunotherapy Administration for Lung Cancer; Efficient? Certainly Possible (2018)

Lung cancer is still diagnosed at a late stage in most lung cancer patients. Regarding Non-small Cell lung cancer there are novel therapies such as; tyrosine kinase inhibitors and immunotherapy. Currently we have two immunotherapies that can be used either as first-line treatment or second line treatment; pembrolizumab and nivolumab. A third one is being investigated as a combination of immunotherapy; ipilimumab. Aerosol treatment has been investigated for many diseases not only for the lung, but also for systematic diseases. The design of cups was found the most significant factor in producing significant effects. The comparison of cups reveals the design J as the most capable of reducing the droplets at a minimum size of mass median aerodynamic diameter (MMAD) MMAD=1.99. Drug effect comes second in sequence (F=62.04) showing that nivolumab is the most drastic preparation at low particle sizes (1.89), two drugs share an intermediate particle diameter (pembrolizumab and ipilimumab). In total drugs demonstrate a decreasing droplet size: Ipilimumab>Pembrolizumab> Nivolumab.