gebhart/patrepeval huggingface dataset:
How to Improve Code Quality by Measurement and Refactoring (2016)

In this paper, we show the successful integration of measurement of code quality into a software development process. Besides choosing a suitable tool for code analysis, metrics, and proper threshold values, concepts for removal of deficiencies are important requirements for code quality. Several cycles of a development process are necessary to achieve a long-term and effective integration of code quality into the development process. The integration of static analysis and refactoring of program code is achieved by Plan-Do-Check-Act cycle and didactic methods in a software development course at the university.
JESC: Japanese-English Subtitle Corpus (2017)

In this paper we describe the Japanese-English Subtitle Corpus (JESC). JESC is a large Japanese-English parallel corpus covering the underrepresented domain of conversational dialogue. It consists of more than 3.2 million examples, making it the largest freely available dataset of its kind. The corpus was assembled by crawling and aligning subtitles found on the web. The assembly process incorporates a number of novel preprocessing elements to ensure high monolingual fluency and accurate bilingual alignments. We summarize its contents and evaluate its quality using human experts and baseline machine translation (MT) systems.
Saturation kinetics of the <i>S</i>0 to <i>S</i>2 optical transition in isolated diphenylhexatriene (1985)

A three level kinetic model is fitted to fluorescence intensities measured as a function of excitation intensity for the S0 to S2 transition of isolated diphenylhexatriene. Parameters derived in the fit are coupled with experimental observations to bracket the rate of energy redistribution from S2 to vibrationally excited levels of S1 and S0 to between 1010 and 4×1012 s−1. The rate of excitation, which is directly proportional to oscillator strength, is precisely determined in the fit to be 3.7×108 s−1 per μJ at the peak of our 6 ns FWHM laser pulse.
The Amanda Network Backkup Manager (1993)

We present Amanda, a freely redistributable network backup manager written at the University of Maryland. Amanda is designed to make backing up large networks of data-full workstations to gigabyte tape drives automatic and efficient.

Amanda runs on top of standard Unix backup tools such as dump and tar. It takes care of balancing the backup schedule and handling any problems that arise. Amanda runs backups in parallel to insure a reasonable run time for the nightly backups, even in the presence of slow computers on the network. Tape labeling insures that the wrong tap is not overwritten. A report detailing any problems is mailed to the system administrator in the morning.

In our department, we use Amanda to back up about 35 gigabytes of data in 336 filesystems on more than 130 workstations, using a single 5 gigabyte 8mm tape drive. Nightly runs typically complete in three to four hours. Amanda is currently in daily use at sites around the world.
Ionic control of the size of the vesicle matrix of beige mouse mast cells. (1991)

Isolated matrices of the giant secretory vesicles of mast cells of the beige mouse were reliably produced by the osmotic lysis of isolated vesicles. These matrices maintained their form, and their sizes were easily measured using Nomarski optics. The size of the matrix depended on the ionic composition of the bathing solution. The physiologically relevant ions, histamine and serotonin, contracted the matrix. Multivalent cations condensed the matrix relative to univalents. Ag+, acid pH (below 5), and basic pH (above 9) expanded the matrix. In the presence of 10 mM histamine, lowering the pH from 9 to 5 contracted the matrix more than can be attributed to the pH-dependent matrix contraction in zero histamine. The nontitratable organic cation, dimethonium, contracts the matrix with little effect of pH in the range of 5-9. These results suggest that histamine acts as a matrix contractor in the divalent form. The dose-response (contraction) relation for histamine was gradual from micromolar to 316 mM (millimolar) histamine. Experiments with mixtures of histamine and sodium show antagonistic effects on the matrix but are inconsistent with either a model where ions compete for identical sites or a parallel model where ions interact with separate independent sites. In vigorous histamine washoff experiments, the half time for vesicle expansion in 10(-4) M pH buffer was approximately 4 s; in isotonic NaCl solution, it was 0.5 s. When 1 M histamine was presented to closely apposed matrices, fusion resulted. The matrix material returned to its initial shape after being mechanically deformed with a glass probe. These results suggest that the matrix size is controlled by its ion exchange properties. The matrix expansion can quantitatively account for the vesicular size increase observed upon exocytosis (as a postfusional event) and the osmotic nonideality of intact vesicles. The mechanical expansion is probably significant in the widening of the exocytotic pore and the dispersal of the vesicular contents.
Learning Generative Models Using Structured Latent Variables (2015)

Recent machine learning advances in computer vision and speech recognition have been largely driven by the application of supervised neural networks on large labeled datasets, leveraging effective regularization techniques and architectural design. Using more data and computational resources, performance is likely to continue to improve in the future. Despite these nice properties, supervised neural networks are sometimes criticized because their internal representations are opaque and lack the kind of interpretability that seems evident in human perception. For example, detecting a dog hidden in the bushes by looking at its exposed tail is a task that is not yet solved by discriminative neural networks. Another class of challenging tasks is one-shot learning, where only one training example for a new concept is available to the model for training. It is widely believed that learned prior knowledge must be utilized in order to tackle this problem. \nMy dissertation tries to address some of these concerns by introducing domain-specific knowledge to standard deep learning models. This domain-specific knowledge is used to specify meaningful latent representation with structure, which forces the model to generalize better under certain scenarios. For example, a generative model with latent gating variables that will ``switch off" noisy pixels should perform better when encountering noise at test time. A generative model with latent variables representing 3D surface normal vectors should do better at modeling illumination variations. These are the kinds of relatively simple domain-specific modifications that we explore in this thesis. It is true that we should not rely too much on manual engineering and learn as much as possible. This principle is taken seriously and we strike a balance between using too much laborious engineering on the one hand and learning everything from scratch on the other. Adding structure to deep generative models is not only helpful for computer vision applications, but it is also very effective for unsupervised density learning tasks.
How the Blockchain Revolution Will Reshape the Consumer Electronics Industry [Future Directions] (2017)

Discusses how Blockchains will revolutionize the consumer electronics markets. Blockchains have attracted wide attention as the basis of the cryptocurrencies, e.g., bitcoin. Cryptocurrencies may or may not be the future of money, but blockchains are a different matter. Blockchains are considered a new form of information technology that could revolutionize technology, industry, and commerce. In this article, we analyze the winds of change currently blowing on the booming multibillion-dollar global consumer electronics (CE) industry. The revolutionary impact of blockchain technology on supply chain management is discussed as well as potential use cases for CE. We conclude by stating that blockchain technology has the power to make the CE industry a more transparent, safer, and honest place.
Diversity of penetration of anti‐cancer agents into solid tumours (1991)

Failure of anti-cancer agents to reach all clonogenic cells at cytotoxic concentrations is recognized as an important form of resistance in solid tumours. Subcutaneously implanted mammary adenocarcinoma 16/C was used to evaluate the intratumour distribution of five alkylating, bioreductive alkylating and intercalating agents and two radiation sensitizers. The agents were classified according to their in vivo distribution in well- and poorly-perfused tumour regions, as delineated by lissamine green. The classifications were: (1) distribution in direct proportion to the vascular supply; (2) uniform distribution to well- and poorly-perfused tumour regions; and (3) preferential retention in the poorly-perfused tumour regions. Our current state of knowledge did not allow reliable prediction of the classification based on chemical structure or mechanism of action.
Decomposition of toluene in a gliding arc discharge plasma reactor (2007)

The decomposition of toluene in a gliding arc discharge (glidarc) was performed and studied. Experimental results indicate that the glidarc technology can effectively decompose toluene molecules and has bright prospects of being applied as an alternative tool to decompose volatile organic compounds. It is found that a change in the electrode material had an insignificant effect on the toluene removal efficiency. The toluene removal efficiency increases with increasing inlet gas temperature. The water vapor present in the gas mixture has a favorable effect on the toluene decomposition in the plasma. The energy efficiency is 29.46 g (kWh−1) at a relative humidity of 50% and a specific energy input of 0.26 kWh m−3, which is higher than other types of non-thermal plasmas. Too much or too little oxygen content does not favor toluene decomposition. The major gas phase products detected by FT-IR from the decomposition of toluene with air participation were CO, CO2, H2O and NO2. Some brown depositions were found on the surface of the electrodes, which were polar oxygenous and nitrogenous compounds determined by the GC-MS analysis, such as benzaldehyde, benzoic acid, quinine and nitrophenol from the reaction of toluene with radicals. A possible mechanism for toluene destruction via glidarc technology is proposed and summarized.
Ketene cycloadditions (1976)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTKetene cycloadditionsRichard W. Holder Cite this: J. Chem. Educ. 1976, 53, 2, 81Publication Date (Print):February 1, 1976Publication History Received3 August 2009Published online1 February 1976Published inissue 1 February 1976https://doi.org/10.1021/ed053p81Request reuse permissions Article Views822Altmetric-Citations28LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (3 MB) Get e-Alertsclose Get e-Alerts
Modulating the Innate Immune Response to Influenza A Virus: Potential Therapeutic Use of Anti-Inflammatory Drugs (2015)

Infection by influenza A viruses (IAV) is frequently characterized by robust inflammation that is usually more pronounced in the case of avian influenza. It is becoming clearer that the morbidity and pathogenesis caused by IAV are consequences of this inflammatory response, with several components of the innate immune system acting as the main players. It has been postulated that using a therapeutic approach to limit the innate immune response in combination with antiviral drugs has the potential to diminish symptoms and tissue damage caused by IAV infection. Indeed, some anti-inflammatory agents have been shown to be effective in animal models in reducing IAV pathology as a proof of principle. The main challenge in developing such therapies is to selectively modulate signaling pathways that contribute to lung injury while maintaining the ability of the host cells to mount an antiviral response to control virus replication. However, the dissection of those pathways is very complex given the numerous components regulated by the same factors (i.e., NF kappa B transcription factors) and the large number of players involved in this regulation, some of which may be undescribed or unknown. This article provides a comprehensive review of the current knowledge regarding the innate immune responses associated with tissue damage by IAV infection, the understanding of which is essential for the development of effective immunomodulatory drugs. Furthermore, we summarize the recent advances on the development and evaluation of such drugs as well as the lessons learned from those studies.
Alkaloids from Uncaria quadrangularis (1979)

Key Word Index Uncaria quadrangularis - Rubiaceae - Mitraphylline - Isomitraphylline - Pteropodine - Isopteropodine
Nutritive Value of Chlorella Protein (1974)

1) 純粋培養および大量培養クロレラを使用し, クロレラたん白質の消化率が低い原因の一部を明らかにした。2) 人工消化試験と白ネズミによる動物試験の成績からみると, クロロプラスト画分の栄養価が, 他の画分にくらべて低かった。3) クロロプラスト画分をさらに分画して検討した結果, クロロプラスト可溶性画分の人工消化率は高いが, クロロプラストの構造的要素であるクロロフィル・リポプロテインのそれは低かった。これは脂質や色素などの存在が, 構造たん白質に対する酵素作用を妨げているためであろうと考えられる。
Gravitational-Wave Stochastic Background from Cosmic Strings (2007)

We consider the stochastic background of gravitational waves produced by a network of cosmic strings and assess their accessibility to current and planned gravitational wave detectors, as well as to big bang nucleosynthesis (BBN), cosmic microwave background (CMB), and pulsar timing constraints. We find that current data from interferometric gravitational wave detectors, such as Laser Interferometer Gravitational Wave Observatory (LIGO), are sensitive to areas of parameter space of cosmic string models complementary to those accessible to pulsar, BBN, and CMB bounds. Future more sensitive LIGO runs and interferometers such as Advanced LIGO and Laser Interferometer Space Antenna (LISA) will be able to explore substantial parts of the parameter space.
Semiempirical Use of Chirality Functions for the Description of the Optical Activity of Methane Derivatives in the Transparent Region (1973)

Abstract The optical activity can provide detailed information about the configuration and conformation of methane derivatives if the chirality function is resolved, according to the theory of chirality functions [3] and the quantum mechanical theory of the optical activity of methane derivatives [4] , into its components which are compared with experimental data. A first step in this direction is undertaken in the present article and it will be shown that the second approximation method for determining the conformationally independent contribution to the optical activity yields quantitatively good results. Description of the overall optical rotation by this component is expectedly poor where interactions between ligands, e. g. hydrogen bonding, tend to favor specific conformations. A quantitative understanding of such additional effects appears promising in conjunction with analyses of the kind described.
Credit Card Fraud Detection Using Sparse Autoencoder and Generative Adversarial Network (2018)

Current credit card detection methods usually utilize the idea of classification, requiring a balanced training dataset which should contain both positive and negative samples. However, we often get highly skewed datasets with very few frauds. In this paper, we want to apply deep learning techniques to help handle this situation. We firstly use sparse autoencoder (SAE) to obtain representations of normal transactions and then train a generative adversarial network (GAN) with these representations. Finally, we combine the SAE and the discriminator of GAN and apply them to detect whether a transaction is genuine or fraud. The experimental results show that our solution outperforms the other state-of-the-art one-class methods.
Oil and Gas Production from Submarine Fans of the Los Angeles Basin: Chapter 8 (1991)

The Los Angeles basin is a small, deep Neogene basin located in the northeast portion of the southern California continental borderland. It was formed along a transform margin during early to middle Miocene time, as were numerous basins within the continental borderland south of the Transverse Ranges. A series of submarine fans were deposited in the Los Angeles basin during the middle to late Miocene, Pliocene, and Pleistocene. The configuration of these fans appears to fit several basin-floor fan models, but the fan morphologies were greatly influenced by local paleobathymetry. The primary sediment transport mechanism was turbidity flows from submarine canyons, but other mass sediment transport mechanisms, such as debris flows, fluidized sediment flows, and grain flows, were also significant. Three primary, commonly coalescing, submarine fans have been recognized: the Tarzana fan in the northwestern Los Angeles basin, the San Gabriel fan in the north central portion, and the Santa Ana fan in the eastern portion of the basin. Most of the oil produced in the Los Angeles basin comes from upper Mohnian, Delmontian, and Repettian sandstone and conglomerate reservoirs of these submarine fans. The Los Angeles basin was a probable silled basin that intersected the oxygen-minimum oceanographic zone during the late Miocene and Pliocene. A combination of the rich biogenic sedimentation along with rapid burial by coarse- to fine-grained clastics and moderate paleo-heat flow provided almost perfect conditions for the generation and migration of oil and gas. Structural deformation was intermittent throughout the Neogene but reached a culmination in the late Pleistocene to Recent. End_Page 239------------------------
Optimality of greedy power control and variable spreading gain in multi-class CDMA mobile networks (1999)

Article Optimality of greedy power control and variable spreading gain in multi-class CDMA mobile networks Share on Authors: Seong-Jun Oh Electrical Engineering and Computer Science Department, University of Michigan, 1301 Beal Ave., Ann Arbor, MI Electrical Engineering and Computer Science Department, University of Michigan, 1301 Beal Ave., Ann Arbor, MIView Profile , Kimberly M. Wasserman Electrical Engineering and Computer Science Department, University of Michigan, 1301 Beal Ave., Ann Arbor, MI Electrical Engineering and Computer Science Department, University of Michigan, 1301 Beal Ave., Ann Arbor, MIView Profile Authors Info & Claims MobiCom '99: Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networkingAugust 1999 Pages 102–112https://doi.org/10.1145/313451.313498Online:01 August 1999Publication History 38citation813DownloadsMetricsTotal Citations38Total Downloads813Last 12 Months2Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
TCP and UDP performance over a wireless LAN (1999)

We present a comprehensive set of measurements of a 2.4 GHz DSSS wireless LAN and analyze its behavior. We examine issues such as host and interface heterogeneity, bidirectional (TCP) traffic and error modeling, that have not been previously analyzed. We uncover multiple problems with TCP and UDP performance in this system. We investigate the causes of these problems (radio hardware, device drivers, network protocols) and discuss the effectiveness of proposed improvements.
Enhanced giant magnetoresistance in spin-valves sandwiched between insulating NiO (1996)

We have investigated the giant magnetoresistance of artificial structures containing metallic Co/Cu/Co and ${\mathrm{Ni}}_{80}$${\mathrm{Fe}}_{20}$/Cu/${\mathrm{Ni}}_{80}$${\mathrm{Fe}}_{20}$ spin-valves confined within insulating antiferromagnetic NiO layers. The observed enhanced magnetoresistance as compared to conventional all-metal spin-valves is interpreted with a semiclassical approach in which specular reflections at the metal/insulator barrier are included.
Reducing False Reads in RFID-Embedded Supply Chains (2008)

RFID tags are increasingly being used in supply chain applications due to their potential in engendering supply chain visibility and reducing tracking errors through instantaneous location of objects as well as the tagged object's immediate ambient conditions. During its life-time, an RFID tag is highly likely to physically pass through different organizations that have disparate information systems with varying information needs. We consider management of data in these applications with respect to volume, data and query characteristics, privacy and security, among others, and propose means to reduce false positive and false negative reads. The beneficial properties of RFID tags can be realized only when they are readable with a high degree of accuracy. The read rate accuracy in turn depends on several factors including the medium and distance between tag and reader, presence of objects that are impenetrable by RF signal, orientation of tag with respect to the reader, among others. We propose three algorithms that address read rate accuracy, and illustrate their relative performance using an example scenario.