gebhart/patrepeval huggingface dataset:
Phase-field imaging; the electromagnetic equivalent of seismic migration (1987)

Abstract An alternative approach to the interpretation of electromagnetic (EM) data is to downward continue the observations to construct a two-dimensional resistivity image of the medium that produced them. The downward continuation can be done in a straightforward manner by drawing a parallel between the EM and acoustic wave equations. With appropriate approximations and identification of specific terms that are equivalent and with transformation from an initial-value problem to a boundary-value problem, EM data can be imaged using any of the methods originally developed for migration of seismic data. The method we chose here is Claerbout's one-way, finite-difference, wave-equation migration.The algorithm is implemented in the frequency domain. Independent images of relative reflectivity are obtained by processing E and H pseudosections separately; the best estimate of the actual reflector position is the region of coincidence of the two images. The same approach can be used in reverse for modeling the EM responses of two-dimensional resistivity distributions. The main assumptions are direct analogies of the assumptions involved in state-of-the-art seismic processing: details of EM reflectivity contained in the data wave fields are separable from the estimated background conductivity through which the wave field is downward continued, and there are no multiple reflections. Thus, the main restriction is that the resistivity variation be sufficiently small. The concept of imaging resistivity, as a function of position, is shown to be feasible and a direct analogy of seismic migration.
FERROELECTRIC Sr1−<i>x</i>Ba<i>x</i>Nb2O6 AS A FAST AND SENSITIVE DETECTOR OF INFRARED RADIATION (1968)

It has been found that ferroelectric Sr1−xBaxNb2O6 has a very large pyroelectric coefficient at room temperature for 0.25 &lt; x &lt; 0.5. This suggested that the material may be useful as a detector of infrared radiation. A detector, constructed with a value of x=0.33 was successfully used at 300°K to detect single pulses of 10.6-μ radiation from a Q-switched CO2 laser with a rise time of less than 30 nsec. Detectors with a low frequency responsivity of better than 104 V/W and a minimum detectable power of 4 × 10−9 W-cm−1-cps−1/2 are easily constructed. Methods of improving on these results are discussed.
Spectral Profiling by 1D and 2D Electron Spin Resonance Imaging:  Nitroxide Radicals in UV and Thermal Degradation of Poly(acrylonitrile−butadiene−styrene) Containing a Hindered Amine Stabilizer (2001)

Thermal and UV oxidative degradation of poly(acrylonitrile−butadiene−styrene) (ABS) containing a hindered amine stabilizer (HAS) was studied by electron spin resonance (ESR) spectroscopy and ESR imaging (ESRI). The imaging technique allowed digital (nondestructive) spectral profiling of the HAS-derived nitroxide radicals: Their intensity profile was determined by 1D ESRI, and the spatial variation of the ESR line shapes was determined by 2D spectral−spatial ESRI. The UV light was provided by fluorescent lamps with maximum intensity in the range 290−320 nm (UVB) or by a Xe arc that closely resembled the solar spectrum. Upon UVB irradiation the nitroxide signal was initially strong only on the irradiated side and increased with time through the sample. These results were taken as evidence for extensive damage on the irradiated side and slower thermal degradation in the entire sample. The effect of UVB radiation was in marked contrast with that of a Xe source; after Xe irradiation the nitroxide radicals were detected at both the irradiated side and the opposite side, and their intensity was negligible in the sample interior. Spatial variation of the ESR line shapes was observed for irradiation with both UV sources. The spatial distribution of the nitroxide radicals was, however, homogeneous during thermal degradation at 318 and 333 K, and there was no spatial variation of the ESR line shapes. The results allowed mapping of the line shape and intensity of nitroxide radicals within the sample as a function of treatment time and provided mechanistic details on the early stages of the degradation process. This study suggested a hierarchical variation of the HAS-derived nitroxide concentration: within morphological domains in ABS on the scale of a few micrometers and within the sample depth on the scale of millimeters.
The editor replies (1981)

Diseases of the Colon & Rectum: September 1981 - Volume 24 - Issue 6 - p 493 doi: 10.1007/BF02626796
A Containerized Integrated Fast IoT Platform for Low Energy Power Management (2021)

Internet of Things (IoT) includes technologies that fit applications and smart devices together to build an ecosystem. IoT has influenced the communication and information world. A large number of connected devices, connected devices heterogeneity, latency, high availability, the security of communication, and latency are IoT challenges. IoT platforms integrate devices, users, and applications to tackle these challenges. In this paper, we design an IoT platform and compare it to the related work based on throughput, memory and CPU usage, and response time. The architecture of the proposed method is modular. Thus, flexibility and scalability will be increased because each module can be removed or added to the architecture. Public cloud proposes general services, but the proposed method is application-specific based on what the customers need. The proposed method's novelty is using device management and user management in the system as the module. Another novelty of the proposed method is using TDengine as the database for the platform. Thus, by using TDengine as a database and using user management and device management in the system, latency will be reduced as latency is an important challenge in power energy. As we make the platform, it can be used in the edge layer because we can add each module needed. The platform is tested and deployed on different scenarios, and the implementation shows that our method's resource usage and performance are better than the related work.
Zebrafish Models of Human Disease: Gaining Insight into Human Disease at ZFIN (2016)

The Zebrafish Model Organism Database (ZFIN; https://zfin.org) is the central resource for genetic, genomic, and phenotypic data for zebrafish (Danio rerio) research. ZFIN continuously assesses trends in zebrafish research, adding new data types and providing data repositories and tools that members of the research community can use to navigate data. The many research advantages and flexibility of manipulation of zebrafish have made them an increasingly attractive animal to model and study human disease.To facilitate disease-related research, ZFIN developed support to provide human disease information as well as annotation of zebrafish models of human disease. Human disease term pages at ZFIN provide information about disease names, synonyms, and references to other databases as well as a list of publications reporting studies of human diseases in which zebrafish were used. Zebrafish orthologs of human genes that are implicated in human disease etiology are routinely studied to provide an understanding of the molecular basis of disease. Therefore, a list of human genes involved in the disease with their corresponding zebrafish ortholog is displayed on the disease page, with links to additional information regarding the genes and existing mutations. Studying human disease often requires the use of models that recapitulate some or all of the pathologies observed in human diseases. Access to information regarding existing and published models can be critical, because they provide a tractable way to gain insight into the phenotypic outcomes of the disease. ZFIN annotates zebrafish models of human disease and supports retrieval of these published models by listing zebrafish models on the disease term page as well as by providing search interfaces and data download files to access the data. The improvements ZFIN has made to annotate, display, and search data related to human disease, especially zebrafish models for disease and disease-associated gene information, should be helpful to researchers and clinicians considering the use of zebrafish to study human disease.
Nekrasov, Viktor: Kira Georgievna (2020)

Der Kurzroman erschien 1961 in der Zeitschrift Novyj mir. War Nekrasovs Erstlingswerk, der Kriegsroman V okopach Stalingrada, 1947, noch unmittelbar mit einem historischen Ereignis verknüpft, so fokussiert Kira Georgievna – das Schicksal eines politischen Häftlings in der Nachstalinzeit thematisierend – vor allem die Psyche des Individuums.
Trifluoropropyne. II. The Triple Bond and the Acetylenic Hydrogen (1952)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTTrifluoropropyne. II. The Triple Bond and the Acetylenic HydrogenAlbert L. Henne and Maxwell NagerCite this: J. Am. Chem. Soc. 1952, 74, 3, 650–652Publication Date (Print):February 1, 1952Publication History Published online1 May 2002Published inissue 1 February 1952https://doi.org/10.1021/ja01123a020RIGHTS & PERMISSIONSArticle Views250Altmetric-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 (473 KB) Get e-Alertsclose Get e-Alerts
Query by example search with segmented dynamic time warping for non-exact spoken queries (2015)

This paper presents an approach to the Query-by-Example task of finding spoken queries on speech databases when the intended match may be non-exact or slightly complex. The built system is low-resource as it tries to solve the problem where the language of queries and searched audio is unspecified. Our method is based on a modified Dynamic Time Warping (DTW) algorithm using posterior-grams and extracting intricate paths to account for special cases of query match such as word re-ordering, lexical variations and filler content. This system was evaluated on the MediaEval 2014 task of Query by Example Search on Speech (QUESST) where the spoken data is from different languages, unknown to the participant. We combined the results of five DTW modifications computed on the output of three phoneme recognizers of different languages. The combination of all systems provided the best performance overall and improved detection of complex case queries.
Effect of Synthetic Resins on Cellulose and Protein Fibers (1945)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTEffect of Synthetic Resins on Cellulose and Protein FibersD. H. PowersCite this: Ind. Eng. Chem. 1945, 37, 2, 188–193Publication Date (Print):February 1, 1945Publication History Published online1 May 2002Published inissue 1 February 1945https://pubs.acs.org/doi/10.1021/ie50422a020https://doi.org/10.1021/ie50422a020research-articleACS PublicationsRequest reuse permissionsArticle Views46Altmetric-Citations7LEARN 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 InRedditEmail Other access options Get e-Alerts
Extracting knowledge and computable models from data - needs, expectations, and experience (2005)

In modern industrial manufacturing, a great amount of data is gathered to monitor and analyze a given production process. Intelligent analysis of such data helps to reveal as much information about the production process as possible. This information is most useful if it is available in the form of interpretable and predictive models. Such models can be generated from data by means of (fuzzy logic based) machine learning methods. In this contribution we will describe industrial applications in the areas of process optimization and quality control where we have successfully established machine-learning methods as intelligent data analysis tools. Based on these applications, we will report the characteristics of machine-learning tools which according to our experience support successful applications in an industrial environment. Furthermore we describe some methodical aspects resulting from this applications.
Business Information Exchange System with Security, Privacy, and Anonymity (2016)

Business Information Exchange is an Internet Secure Portal for secure management, distribution, sharing, and use of business e-mails, documents, and messages. It has three applications supporting three major types of information exchange systems: secure e-mail, secure instant messaging, and secure sharing of business documents. In addition to standard security services for e-mail letters, which are also applied to instant messages and documents, the system provides innovative features of privacy and full anonymity of users and their locations, actions, transactions, and exchanged resources. In this paper we describe design, implementation, and use of the system.
Automated design of a MEMS resonator (2007)

As the application and complexity of microelectromechanical (MEMS) devices increases, there is a corresponding need for automated design and optimization tools to augment engineers' design skills. Evolutionary computation provides a set of tools that may prove very effective in this application domain. Here we present a novel evolutionary computation encoding scheme for specifying MEMS designs, and use this scheme to evolve a MEMS meandering resonator. Using fewer evaluations, we are able to evolve designs that perform as well as those previous reported.
Visible laser sources for projection displays (2007)

New laser-based light sources are highly desired for projection displays because of the need for longer lifetime, lower etendue, and higher color gamut. High power, frequency doubled red, green and blue (RGB) surface emitting diode laser arrays have been developed for use in low cost projection microdisplay television, digital cinema and pocket projectors. Single green lasers for pico-projectors using MEMS scanners have also been demonstrated.
Versatile Synthesis and Rational Design of Caged Morpholinos (2009)

Embryogenesis is regulated by genetic programs that are dynamically executed in a stereotypic manner, and deciphering these molecular mechanisms requires the ability to control embryonic gene function with similar spatial and temporal precision. Chemical technologies can enable such genetic manipulations, as exemplified by the use of caged morpholino (cMO) oligonucleotides to inactivate genes in zebrafish and other optically transparent organisms with spatiotemporal control. Here we report optimized methods for the design and synthesis of hairpin cMOs incorporating a dimethoxynitrobenzyl (DMNB)-based bifunctional linker that permits cMO assembly in only three steps from commercially available reagents. Using this simplified procedure, we have systematically prepared cMOs with differing structural configurations and investigated how the in vitro thermodynamic properties of these reagents correlate with their in vivo activities. Through these studies, we have established general principles for cMO design and successfully applied them to several developmental genes. Our optimized synthetic and design methodologies have also enabled us to prepare a next-generation cMO that contains a bromohydroxyquinoline (BHQ)-based linker for two-photon uncaging. Collectively, these advances establish the generality of cMO technologies and will facilitate the application of these chemical probes in vivo for functional genomic studies.
Volumetric characterization of dispersed two-phase flows by digital image analysis (2000)

A digital-based image analysis system has been developed for the experimental determination of size, spatial distribution and two components of velocity for particles suspended in any clear fluid flow. A volumetric measurement directly provides number density and consequently particle flow. A peculiarity of the developed system is its suitability for relatively large particles (some mm in diameter), which can hardly be measured with other systems. Double exposed particle images, in the same frame, provide the starting point for image processing. The system includes a procedure for the classification of the particles in the image, the separation of the partially overlapped particles and the selection of those that are found in the control volume. These parameters serve as a basis for the velocity determination through a particle-tracking algorithm (PTV), which is based on iteratively estimating the match probability as a measure of the likelihood of pairing. The depth of the control volume is obtained with a new technique, based on the loss of focus of the particles in the image, combined by diffuse illumination, provided by twin short pulse argon spark discharge lamps. The system has been extensively checked using calibrated micro-balls and sprays that simulate rain.
The applicability of adaptive language modelling for the broadcast news task (1998)

Adaptive language models have consistently been shown to lead to a significant reduction in language model perplexity compared to the equivalent static trigram model on many data sets.When these language models have been applied to speech recognition, however, they have seldom resulted in a corresponding reduction in word error rate.This paper will investigate some of the possible reasons for this apparent discrepancy, and will explore the circumstances under which adaptive language models can be useful.We will concentrate on cache-based and mixture-based models and their use on the Broadcast News task.
Role of selective sorption in chemiresistor sensors for organophosphorus detection (1990)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTRole of selective sorption in chemiresistor sensors for organophosphorus detectionJay W. Grate, Mark. Klusty, William R. Barger, and Arthur W. SnowCite this: Anal. Chem. 1990, 62, 18, 1927–1934Publication Date (Print):September 1, 1990Publication History Published online1 May 2002Published inissue 1 September 1990https://pubs.acs.org/doi/10.1021/ac00217a007https://doi.org/10.1021/ac00217a007research-articleACS PublicationsRequest reuse permissionsArticle Views252Altmetric-Citations36LEARN 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 InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
RPL Based Routing for Advanced Metering Infrastructure in Smart Grid (2010)

In this paper, we present a routing protocol design and implementation for the Advanced Metering Infrastructure (AMI) in Smart Grid. The proposed protocol implementation is based on the framework of the IPv6 Routing Protocol for Low Power and Lossy Networks (RPL), which is proposed by IETF and currently still in its design phase. RPL is based on the idea of maintaining a directed acyclic graph (DAG) structure for the network. We provide a practical implementation of RPL with a number of proper modifications so as to fit into the AMI structure and meet stringent requirements enforced by the AMI. In particular, we propose a novel DAG rank computation method and a reverse path recording mechanism, which enables real-time automated meter reading and real-time remote utility management in the AMI. Our proposed routing protocol design for AMI networks is validated through extensive simulations.
Entropic bounds on FSM switching (1997)

Several state assignment algorithms have attempted to minimize the average Hamming distance per transition in the hopes of generating low power assignments. There has not been a reasonable theoretical lower bound on the average Hamming distance per transition that is applicable to every state assignment for a given finite state machine (FSM). Such a lower bound serves many roles-a target for algorithm designers, provides clues about what types of FSM structures are likely to have low average switching per transition, could be incorporated into a high-level power model. We provide two such lower bounds which were also found to be achievable empirically within 17% for MCNC benchmarks. An interesting byproduct of one of these 'theoretical' lower bounds was a greedy state assignment algorithm which is amenable to a very distributed (parallel) implementation. This algorithm also outperforms JEDI by 2.5% for area and by 21% for power over MCNC benchmarks.
Fault diagnosis in electric drives using machine learning approaches (2013)

This paper applies machine learning techniques to fault diagnosis in electric motor drives. As faults in motor drives can cause safety hazards in applications such as electric traction, propulsion, aircraft, and others, it is desired to diagnose the fault, i.e., detect it and isolate it, in order to recover or engage safe-mode operation. Machine learning methods are divided into three main steps: 1) Feature extraction using Principal Component Analysis (PCA); 2) Classification using the k-Nearest Neighbor (k-NN) or Probabilistic Neural Network (PNN) methods; and 3) Classifier performance evaluation using the Cross-Validation (CV) method. While electric machine, inverter, and sensor faults are introduced, the supervised learning algorithms are applied to four case studies where two fault modes occur in a current sensor, and two occur in the speed encoder. Classification accuracy, i.e., the ability to diagnose a fault, for all four cases is shown to exceed 98%. The paper also investigates a load profile used in automotive driving cycles which produces richer dynamic responses that are more interesting from an application perspective. The final goal is to implement these algorithms in real-time such that fault diagnosis can be used to isolate drive faults, especially sensor faults, and operate in a safe mode.