gebhart/patrepeval huggingface dataset:
On the Dynamic RSS Feedbacks of Indoor Fingerprinting Databases for Localization Reliability Improvement (2016)

Location data is one of the most widely used context data types in context-aware and ubiquitous computing applications. To support locating applications in indoor environments, numerous systems with different deployment costs and positioning accuracies have been developed over the past decade. One useful method, based on received signal strength (RSS), provides a set of signal transmission access points. However, compiling a remeasurement RSS database involves a high cost, which is impractical in dynamically changing environments, particularly in highly crowded areas. In this study, we propose a dynamic estimation resampling method for certain locations chosen from a set of remeasurement fingerprinting databases. Our proposed method adaptively applies different, newly updated and offline fingerprinting points according to the temporal and spatial strength of the location. To achieve accuracy within a simulated area, the proposed method requires approximately 3% of the feedback to attain a double correctness probability comparable to similar methods; in a real environment, our proposed method can obtain excellent 1 m accuracy errors in the positioning system.
Slip Effects in Capillary and Parallel Disk Torsional Flows of Highly Filled Suspensions (1989)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Ulku Yilmazer, Dilhan M. Kalyon; Slip Effects in Capillary and Parallel Disk Torsional Flows of Highly Filled Suspensions. J. Rheol. 1 November 1989; 33 (8): 1197–1212. https://doi.org/10.1122/1.550049 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentThe Society of RheologyJournal of Rheology Search Advanced Search |Citation Search
British Game Studies? An Extended Review of Two New Publications (2007)

Review of 'Game Cultures: Computer Games as New Media' by Jon Dovey and Helen W. Kennedy published by Open University Press, 2006 and 'Tomb Raiders and Space Invaders: Videogame Forms and Contexts' by Geoff King and Tanya Krzywinska published by I.B. Taurus, 2006.
Recombinant polymer‐protein fusion: a promising approach towards efficient and targeted gene delivery (2006)

Genetic engineering techniques show promise for systematic investigation of structure-activity relationships of non-viral gene delivery vectors.
Immunoassay for Detection of Cocaine/Metabolites in Oral Fluids (2001)

There is growing interest in the use of alternate biological fluids for drug testing. An advantage of oral fluids is that collection can be made from individuals under direct observation without undue embarrassment or invasion of privacy. This study evaluated the STC Cocaine Metabolite MICRO-PLATE EIA for use in detection of cocaine and metabolites in oral fluids. Intra- and interassay precision of the EIA was < 10%. The EIA was cross-reactive to benzoylecgonine (100%), cocaine (> 12.9%), and cocaethylene (13.8%), but did not demonstrate detectable cross-reactivity with other commonly encountered medicants. Evaluation of a series of potential adulterants of oral fluids indicated that common household chemicals and foodstuffs did not alter the outcome of EIA testing for cocaine metabolite. Analysis by EIA and by gas chromatography-mass spectrometry (GC-MS) of oral fluids and urine specimens collected from current drug users in treatment programs and subjects participating in research studies involving controlled dosing of cocaine provided assessment of the clinical sensitivity and specificity of the STC Cocaine Metabolite EIA. Analysis of the data by means of receiver operating characteristic (ROC) plot indicated that the optimal cutoff concentration for the oral fluids EIA was 10 ng/mL. In comparison to GC-MS (10-ng/mL combined cutoff concentration for cocaine and benzoyleogonine), the EIA (10-ng/mL cutoff concentration) demonstrated a sensitivity, specificity, and accuracy of 95%, 82%, and 88%, respectively. The oral fluids EIA was slightly less sensitive than the urine EIA (300-ng/mL cutoff concentration) for the detection of cocaine metabolite with a sensitivity, specificity, and accuracy of 73%, 85%, and 88%, respectively. Overall, testing of oral fluids for cocaine metabolite with the STC Cocaine Metabolite MICRO-PLATE EIA appears to offer a viable alternative to urine for detection of recent cocaine use.
Lean Body Mass Predicts Long-Term Survival in Chinese Patients on Peritoneal Dialysis (2013)

LBM serves as a good parameter in addition to BMI to predict the survival of patients on PD. Preserving residual renal function and increasing protein intake can increase LBM.
P.S. (1928)

Journal Article P.S. Get access J. B. McG J. B. McG Search for other works by this author on: Oxford Academic Google Scholar Notes and Queries, Volume CLV, Issue nov03, 3 November 1928, Pages 312–313, https://doi.org/10.1093/nq/CLV.nov03.312 Published: 03 November 1928
Parameterized Affect of Transmission-Range on Lost of Network Connectivity (LNC) of Wireless Sensor Networks (2010)

Wireless Sensor Networks, referred to as WSNs, are made up of various types of sensor nodes. Recent developments in micro electro-mechanical technology have given rise to new integrated circuitry, microprocessor hardware and nano technology, wireless technology, and advanced networking routing protocols. Hospitals and health service facilities, the armed forces, and even residential customers represent a potential huge market for these devices. The problem is that existing sensor network nodes are incapable of providing the support needed to maximize usage of wireless technology.
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial (2019)

In order to effectively provide ultra reliable low latency communications and pervasive connectivity for Internet of Things (IoT) devices, next-generation wireless networks can leverage intelligent, data-driven functions enabled by the integration of machine learning (ML) notions across the wireless core and edge infrastructure. In this context, this paper provides a comprehensive tutorial that overviews how artificial neural networks (ANNs)-based ML algorithms can be employed for solving various wireless networking problems. For this purpose, we first present a detailed overview of a number of key types of ANNs that include recurrent, spiking, and deep neural networks, that are pertinent to wireless networking applications. For each type of ANN, we present the basic architecture as well as specific examples that are particularly important and relevant wireless network design. Such ANN examples include echo state networks, liquid state machine, and long short term memory. Then, we provide an in-depth overview on the variety of wireless communication problems that can be addressed using ANNs, ranging from communication using unmanned aerial vehicles to virtual reality applications over wireless networks as well as edge computing and caching. For each individual application, we present the main motivation for using ANNs along with the associated challenges while we also provide a detailed example for a use case scenario and outline future works that can be addressed using ANNs. In a nutshell, this paper constitutes the first holistic tutorial on the development of ANN-based ML techniques tailored to the needs of future wireless networks.
Modulation, coding and signal processing for wireless communications - MHOMS: high-speed ACM modem for satellite applications (2005)

This article presents the novel FPGA-based 1 Gb/s near-Shannon-limit ACM modem developed within the MHOMS program with particular focus on the advanced modem algorithm solutions devised. A number of powerful FEC schemes have been analyzed as possible candidates for the MHOMS modem, and the final selection is justified in terms of the best tradeoff between complexity and performance. State-of-the-art modulation and demodulation algorithms are also presented, including nonlinearity dynamic precompensation techniques and innovative synchronization strategies required by the selected powerful modulation and coding schemes. Overall modem performances are also shown for a variety of spectral efficiencies.
Goal-Based Modeling of Dynamically Adaptive System Requirements (2008)

Self-adaptation is emerging as an increasingly important capability for many applications, particularly those deployed in dynamically changing environments, such as ecosystem monitoring and disaster management. One key challenge posed by dynamically adaptive systems (DASs) is the need to handle changes to the requirements and corresponding behavior of a DAS in response to varying environmental conditions. Berry et al. previously identified four levels of RE that should be performed for a DAS. In this paper, we propose the levels of RE for modeling that reify the original levels to describe RE modeling work done by DAS developers. Specifically, we identify four types of developers: the system developer, the adaptation scenario developer, the adaptation infrastructure developer, and the DAS research community. Each level corresponds to the work of a different type of developer to construct goal model(s) specifying their requirements. We then leverage the levels of RE for modeling to propose two complementary processes for performing RE for a DAS. We describe our experiences with applying this approach to GridStix, an adaptive flood warning system, deployed to monitor the River Ribble in Yorkshire, England.
Ovarian dysfunction and FMR1 alleles in a large Italian family with POF and FRAXA disorders: case report (2007)

Our case study represents a helpful observation and will provide familial cases with heterogeneous etiology that could be further studied when candidate genes in addition to the FMR1 premutation will be available.
An RNA-dependent DNA polymerase, different from the known viral reverse transcriptases, in the chicken system. (1976)

The properties of an RNA-dependent DNA polymerase (an RNA-dependent DNA nucleotidyltransferase), which occurs ubiquitously in the allantoic fluid of uninfected, leukosis-virus-free eggs, are described. It is shown that the enzyme can synthesize faithful transcripts from natural RNA (globin mRNA). By biochemical and immunological methods, the enzyme can be clearly distinguished from the reverse transcriptases of the known chicken RNA tumor viruses and therefore seems to be a member of a so far unknown class of chicken polymerases.
GENETIC ENGINEERING OF LABORATORY AND LIVESTOCK MAMMALS (1985)

Recent advances in recombinant genetics have made possible the transfer of cloned genes from one organism to the genome of another. Research with mice made transgenic by insertion of rat or human genes has provided direct evidence that transferred genes can be incorporated into the germline and expressed in the recipient. Current technology for gene transfer involves microinjection of the recombinant genes into the male pronucleus of the zygote. Resulting transgenic mice, when mated as adults, produced offspring that contained and expressed the transgenes. These observations serve as indications of the possibilities that exist for genetic engineering in livestock species. Although there are some technical problems to be overcome before livestock embryos can be genetically altered by these means, the genes for producing growth hormone transgenic livestock are currently available, and research groups are working toward this objective. In addition to this work with growth hormone genes, there are many other potential applications for genetic engineering livestock to produce more highly efficient production; however, there is considerable research to be done before the full potential of this technology can be achieved. It will be necessary to identify other genes that have potential for improving the production efficiency of livestock, and it will be necessary to gain a more complete understanding of the developmental and molecular biology of livestock. The potential impact of this technology in farm animal production is enormous, but, in the short term, it will be a costly endeavor.
Reduction in Risk of Hepatitis Transmission by Heat-Treatment of a Human Factor VIII Concentrate (1984)

A human Factor VIII concentrate containing both a non-A, non-B hepatitis agent and 300 or 30,000 chimpanzee infectious doses of added hepatitis B virus (HBV) was heated to 60 C in the lyophilized state for more than 10 hr. None of the four test chimpanzees that received the heated concentrate developed biochemical or ultrastructural evidence of non-A, non-B hepatitis, whereas both control animals receiving unheated product acquired the disease four to five weeks after infusion. In one of these animals the alanine aminotransferase level remained elevated, a finding indicating unresolved or persistent liver disease. Challenge inoculations with unheated Factor VIII base product (without HBV) resulted in the development of non-A, non-B hepatitis in one of two chimpanzees that previously received the heated product. Hepatitis B infection developed in the control animal that resolved its non-A, non-B hepatitis infection but not in the non-A, non-B hepatitis carrier chimpanzee. Both chimpanzees receiving the heated Factor VIII containing 300 chimpanzee infectious doses of HBV failed to develop hepatitis B until 32 and 40 weeks postinoculation, whereas the two chimpanzees that received heated concentrate containing 30,000 infectious doses of HBV became infected within the expected time. Product characterization and human safety trials have revealed no significant difference between the heated and unheated Factor VIII lots and recovery of product has been exceptionally good.
Molecular structure of rat hepatic 3 alpha-hydroxysteroid dehydrogenase. A member of the oxidoreductase gene family (1991)

3-alpha-Hydroxysteroid dehydrogenase (3 alpha-HSD) (EC 1.1.1.50) is an important multifunctional oxidoreductase capable of metabolizing steroid hormones, polycyclic aromatic hydrocarbons, and prostaglandins. 3 alpha-HSD is also required for bile acid synthesis and has been suggested to play an important role in net bile acid transport across the hepatocyte (Stolz, A., Takikawa, H., Ookhtens, M., and Kaplowitz, N. (1989) Annu. Rev. Physiol. 51, 166-177). In order to characterize molecular forms and begin to determine its regulation, we now report the nucleotide sequence, tissue distribution, and homology to other members of the oxidoreductase superfamily. Rat hepatic 3 alpha-HSD cDNA encodes for a 322-amino acid protein with a predicted molecular weight of 37,022 expressed in a 2.4-kilobase (kb) message size. Northern blot analysis of total RNA revealed equivalent steady-state levels in liver and intestine in male rats with lower levels of expression in the colon and minimal expression in stomach, lung, and testis. Female liver contained approximately 2-3-fold greater steady-state levels of mRNA as compared to the male liver with equivalent intestinal expression. Two hybridizing bands, 2.4 and 1.4 kb, were identified in total RNA from the ovary. 3 alpha-HSD exhibits 75% amino acid sequence homology with bovine lung prostaglandin F synthetase and 50% homology with human aldose reductases. Amino acid sequence analysis with short chain alcohol dehydrogenases identified a possible NADP(H) cofactor-binding site at the amino terminus. The significant homology of 3 alpha-HSD with both prostaglandin F synthetase and aldose reductases suggest a subdivision of monomeric, NADPH reductases within the larger oxidoreductases superfamily.
Speaker-Follower Models for Vision-and-Language Navigation (2018)

Navigation guided by natural language instructions presents a challenging reasoning problem for instruction followers. Natural language instructions typically identify only a few high-level decisions and landmarks rather than complete low-level motor behaviors; much of the missing information must be inferred based on perceptual context. In machine learning settings, this is doubly challenging: it is difficult to collect enough annotated data to enable learning of this reasoning process from scratch, and also difficult to implement the reasoning process using generic sequence models. Here we describe an approach to vision-and-language navigation that addresses both these issues with an embedded speaker model. We use this speaker model to (1) synthesize new instructions for data augmentation and to (2) implement pragmatic reasoning, which evaluates how well candidate action sequences explain an instruction. Both steps are supported by a panoramic action space that reflects the granularity of human-generated instructions. Experiments show that all three components of this approach---speaker-driven data augmentation, pragmatic reasoning and panoramic action space---dramatically improve the performance of a baseline instruction follower, more than doubling the success rate over the best existing approach on a standard benchmark.
High-efficiency monochrome organic light emitting diodes employing enhanced microcavities (2008)

We demonstrate enhanced light outcoupling from bottom emitting monochrome high-efficiency red, green, and blue organic light emitting diodes by adding silver layers on the indium tin oxide (ITO) anode. The devices contain the phosphorescent emitting dyes tris(2-phenylpyridine)iridium and iridium(III)bis[2-methyldibenzo-(f, h)quinoxaline](acetylacetonate), and the blue singlet emitter 2,2′,7,7′-tetrakis 2,2-(diphenylvinyl)spiro-9,9′-bifluorene. We follow the p-i-n doping concept to increase the power efficiencies. We reach 81 lm/W for red, 101 lm/W for green, and 4.0 lm/W for blue color. These efficiencies are improved by up to a factor of 2.3 compared to standard ITO devices, which we attribute to microcavity amplification between the cathode and the Ag layer.
Regulation of protein intake in adult dogs (1983)

SUMMARY To determine whether adult dogs are able to regulate their intake of protein, 2-year-old female Beagles were allowed self-selection from 2 diets that differed in concentration of protein. Such a feeding regimen permitted the dogs to select for protein without affecting energy intake. Within the 1st week of the 4-week study, the dogs had established their pattern of protein intake. They selected approximately 30% of metabolizable energy from protein. Adult female rats offered the same diets also selected 30% of metabolizable energy from protein. The results indicated that adult dogs are able to regulate protein and energy intake.
Blind channel estimation based on subspace for multicarrier CDMA (2002)

The channel model and effective signature waveform are analyzed for synchronous multicarrier CDMA (MC-CDMA), and a blind channel estimation algorithm is proposed. We deduce the effective signature waveform in MC-CDMA systems, which is the convolution of signature and unknown channel vector and followed by OFDM demodulation. Thus, the effective signature estimation problem in a subspace-based multiuser detector is actually the channel vector estimation problem. Based on the analysis, a blind channel estimation algorithm is proposed, which provides a close-form signal estimate. Numerical results show that the analysis of effective signature waveform in MC-CDMA is exact and the proposed algorithm is robust in multiuser MC-CDMA system.
What Have We Learned from Market Design? (2008)

This article discusses some things we have learned about markets, in the process of designing marketplaces to fix market failures. To work well, marketplaces have to provide "thickness", i.e. they need to attract a large enough proportion of the potential participants in the market; they have to overcome the "congestion" that thickness can bring, by making it possible to consider enough alternative transactions to arrive at good ones; and they need to make it "safe" and sufficiently simple to participate in the market, as opposed to transacting outside of the market, or having to engage in costly and risky strategic behaviour. I will draw on recent examples of market design ranging from labour markets for doctors and new economists, to kidney exchange, and school choice in New York City and Boston. Copyright © 2008 The Author(s).
Opinion retrieval from blogs (2007)

Opinion retrieval is a document retrieval process, which requires documents to be retrieved and ranked according to their opinions about a query topic. A relevant document must satisfy two criteria: relevant to the query topic, and contains opinions about the query, no matter if they are positive or negative. In this paper, we describe an opinion retrieval algorithm. It has a traditional information retrieval (IR) component to find topic relevant documents from a document set, an opinion classification component to find documents having opinions from the results of the IR step, and a component to rank the documents based on their relevance to the query, and their degrees of having opinions about the query. We implemented the algorithm as a working system and tested it using TREC 2006 Blog Track data in automatic title-only runs. Our result showed 28% to 32% improvements in MAP score over the best automatic runs in this 2006 track. Our result is also 13% higher than a state-of-art opinion retrieval system, which is tested on the same data set.
Regio- and stereoselectivity of the reaction between cyanocuprates and cyclopentene epoxides. Application to the total synthesis of prostaglandins (1987)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTRegio- and stereoselectivity of the reaction between cyanocuprates and cyclopentene epoxides. Application to the total synthesis of prostaglandinsJoseph P. Marino, Roberto Fernandez de la Pradilla, and Edgardo LabordeCite this: J. Org. Chem. 1987, 52, 22, 4898–4913Publication Date (Print):October 1, 1987Publication History Published online1 May 2002Published inissue 1 October 1987https://pubs.acs.org/doi/10.1021/jo00231a014https://doi.org/10.1021/jo00231a014research-articleACS PublicationsRequest reuse permissionsArticle Views1866Altmetric-Citations87LEARN 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