gebhart/patrepeval huggingface dataset:
Using control-flow patterns for specifying business processes in cooperative environments (2007)

The representation and execution of business processes have generated some important challenges in Computer Science. An important related concern is the choosing of the best formal foundation to specify processes behavior, mainly representing control-flow patterns in cooperative environments. The first contribution of this research is the complete definition of the Navigation Plan Definition Language (NPDL) as an alternative for business process managing in cooperative environments. The second contribution is a complete implementation of control-flow patterns using NPDL. These control-flow patterns have been proposed by Aalst's group. Our experience in applying suggestion of Aalst's group to use control-flow patterns as a basis for comparison among control-flow specification languages shows that this comparison method is feasible and the results are useful. The simplicity of NPDL representations shows the advantages of NPDL as a process specification language. NPDL uses a declarative specification (similar to process algebra) to describe the workflow and adds new operators to compensate for the limitations of process algebra and Petri nets. NPDL also increases the modeling flexibility by allowing the reuse of process expressions in relational data-base systems.
A Game Model of Reciprocal Behavior under the Information Asymmetry (2012)

Reciprocal Behavior is intrinsic in human activity and significantly affects human activity and institutions. This paper extends the Reciprocal game model under information symmetry to that under information asymmetry. The model focuses on two-staged dynamic game, in which one is a reciprocal behavior player and perhaps another is a reciprocal behavior player or not. In the end, the conclusion and the significance of application is discussed.
2‐Phosphanylphenolate Nickel Catalysts for the Polymerization of Ethylene (2003)

The previously unknown methallylnickel 2-diorganophosphanylphenolates (R=Ph, cHex) were synthesized and found to catalyze the polymerization of ethylene. To explore the potential for ligand-tuning, a variety of P-alkyl- and P-phenyl-2-phosphanylphenols was synthesized and allowed to react with [Ni(cod)(2)] (cod=1,5-cyclooctadiene) or with NiBr(2).DME and NaH. The complexes formed in situ with [Ni(cod)(2)] are generally active as ethylene polymerization catalysts with all the ligands tested, whereas the latter systems are inactive when 2-dialkylphosphanylphenols are applied. M(w) values, ranging from about 1000 to about 100000 g mol(-1), increase for various R(2)P groups in the order R=Ph<Et approximately tBu<iPr<cHex, while aryloxy substituents usually diminish the molecular weights. Increasing basicity of P- or aryloxy substituents usually leads to increasing turnover numbers. The polymers are high density polyethylene (HDPE) with low methyl and sometimes low long-chain branching. Investigation of the influence of the solvent shows that the catalysts are stabilized by some oxygen-containing Lewis bases as well as by olefins. The catalysts are tolerant to water, in particular the 2-dicyclohexylphosphanylphenolate nickel catalyst, which in THF-water (1:1) gives HDPE with M(w)=39000, M(n)=14500 g mol(-1). Additives of tetrahydrothiophene or pyridine do not inhibit the catalyst, but decrease the reaction rate and the molecular weight of the polymers.
Formation of olefins via pyrolysis of sulfonate esters (1989)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTFormation of olefins via pyrolysis of sulfonate estersE. J. Corey, Gary H. Posner, Richard F. Atkinson, Astrid K. Wingard, Daniel J. Halloran, Donna M. Radzik, and John J. NashCite this: J. Org. Chem. 1989, 54, 2, 389–393Publication Date (Print):January 1, 1989Publication History Published online1 May 2002Published inissue 1 January 1989https://pubs.acs.org/doi/10.1021/jo00263a024https://doi.org/10.1021/jo00263a024research-articleACS PublicationsRequest reuse permissionsArticle Views2582Altmetric-Citations42LEARN 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
Small Square Monopole Antenna for UWB Applications With Variable Frequency Band-Notch Function (2009)

In this letter, a novel printed monopole antenna (PMA) for ultrawideband (UWB) applications with variable frequency band-notch characteristic is presented. The proposed antenna consists of a stepped square radiating patch with two U-shaped slots and a notched ground plane with a T-shaped sleeve that provides a wide usable fractional bandwidth of more than 140% (2.8516.73 GHz). By cutting two modified U-shaped slots with variable dimensions on the radiating patch, frequency band-stop performance is generated, and we can control its characteristics such as band-notch frequency and its bandwidth. The designed antenna has a small size of 12 times 19 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> while showing the band rejection performance in the frequency band of 5.02-5.97 GHz.
Rôle de la greffe de moelle dans le traitement des lymphomes non hodgkiniens (1987)

info:eu-repo/semantics/published
Self-Healing in Emerging Cellular Networks: Review, Challenges, and Research Directions (2018)

Mobile cellular network operators spend nearly a quarter of their revenue on network management and maintenance. Incidentally, a significant proportion of that budget is spent on resolving outages that degrade or disrupt cellular services. Historically, operators mainly rely on human expertise to identify, diagnose, and resolve such outages. However, with growing cell density and diversifying cell types, this approach is becoming less and less viable, both technically and financially. To cope with this problem, research on self-healing solutions has gained significant momentum in recent years. Self-healing solutions either assist in resolving these outages or carry out the task autonomously without human intervention, thus reducing costs while improving mobile cellular network reliability. However, despite their growing popularity, to this date no survey has been undertaken for self-healing solutions in mobile cellular networks. This paper aims to bridge this gap by providing a comprehensive survey of self-healing solutions proposed in the domain of mobile cellular networks, along with an analysis of the techniques and methodologies employed in those solutions. This paper begins by providing a quantitative analysis to highlight why in emerging mobile cellular network self-healing will become a necessity instead of a luxury. Building on this motivation, this paper provides a review and taxonomy of existing literature on self-healing. Challenges and prospective research directions for developing self-healing solutions for emerging and future mobile cellular networks are also discussed in detail. Particularly, we identify that the most demanding challenges from self-healing perspective are the difficulty of meeting 5G low latency and the high quality of experience requirement.
Automatic compensation of endotracheal tube resistance in spontaneously breathing patients (1994)

The considerable additional ventilatory work needed to overcome the resistance of the endotracheal tube (ETT) is flow-dependent. In spontaneously breathing intubated patients this additional ventilatory work is therefore dependent on the flow pattern and cannot be adequately compensated for by support with a constant pressure. We propose a method to fully compensate for the ETT resistance during inspiration and expiration by regulating tracheal pressure (Ptrach),Ptrach is calculated at a rate of 500 Hz by measurement of flow and pressure at the outer end of the ETT and from coefficients describing the flow-dependent ETT resistance. The calculated tracheal pressure is fed into a modified demand-flow ventilator which can then control tracheal pressure to a target value (Ptrach,targ). Tracheal pressure can either be kept constant (automatic tube compensation, ATC), or changed in any chosen fashion. We tested our system on a laboratory lung model simulating a spontaneously breathing patient. Even under the simulation of extreme conditions the maximum deviation of Ptrach from Ptrach,targ was smaller than 2.5 mbar. We evaluated our system in 10 spontaneously breathing intubated patients breathing at ATC with or without volume proportional pressure support (VPPS) by measuring Ptrach. The mean maximum deviation of Ptrach from Ptrach,targ was 2.9 mbar. The rms-deviation was 1.1 mbar (inspiration and expiration considered) and 1.7 mbar (inspiration alone). The accuracy of the control of Ptrach is thus comparable to the control of airway pressure afforded by the unmodified demand-flow ventilator.
Evaluation of costimulatory molecules in dogs with B cell high grade lymphoma (2018)

B cell high grade lymphoma is the most common hematopoietic malignancy in dogs. Although the immune checkpoint molecules, programmed death-1 (PD-1) and cytotoxic T-lymphocyte-associated antigen-4 (CTLA-4), and immune checkpoint inhibitors have been evaluated for the treatment of various human lymphoid malignancies, the expression of those molecules and their relationship with prognosis remain unknown in canine lymphoma. The objective of this study was to evaluate the expression of costimulatory molecules on peripheral blood lymphocytes and tumor infiltrating lymphocytes, in addition to associated ligand expression in the lymph nodes of patients with B cell multicentric high grade lymphoma. Eighteen patients diagnosed with B cell high grade lymphoma and nine healthy control dogs were enrolled. Flow cytometric analysis revealed that the expression of PD-1 on CD4+ peripheral and tumor infiltrating lymphocytes and CTLA-4 on CD4+ peripheral lymphocytes was significantly higher in the lymphoma group than in the control group. The expression level of CD80 mRNA was significantly lower in the lymphoma group than in the control group. In contrast, there were no significant differences in PD-L1, PD-L2, and CD86 expression between the groups. Dogs with CTLA-4 levels below the cutoff values, which were determined based on receiver operating characteristic curves, on peripheral CD4+, CD8+, and tumor infiltrating CD4+ lymphocytes had significantly longer survival than dogs with values above the cutoff. Although it is uncertain whether the expression of immune checkpoint molecules affect the biological behavior of canine lymphoma, one possible explanation is that PD-1 and CTLA-4 might be associated with the suppression of antitumor immunity in dogs with B cell high grade lymphoma, particularly through CD4+ T cells.
Application of Molecular Techniques to the Study of Hospital Infection (2006)

Nosocomial infections are an important source of morbidity and mortality in hospital settings, afflicting an estimated 2 million patients in United States each year. This number represents up to 5% of hospitalized patients and results in an estimated 88,000 deaths and 4.5 billion dollars in excess health care costs. Increasingly, hospital-acquired infections with multidrug-resistant pathogens represent a major problem in patients. Understanding pathogen relatedness is essential for determining the epidemiology of nosocomial infections and aiding in the design of rational pathogen control methods. The role of pathogen typing is to determine whether epidemiologically related isolates are also genetically related. To determine molecular relatedness of isolates for epidemiologic investigation, new technologies based on DNA, or molecular analysis, are methods of choice. These DNA-based molecular methodologies include pulsed-field gel electrophoresis (PFGE), PCR-based typing methods, and multilocus sequence analysis. Establishing clonality of pathogens can aid in the identification of the source (environmental or personnel) of organisms, distinguish infectious from noninfectious strains, and distinguish relapse from reinfection. The integration of molecular typing with conventional hospital epidemiologic surveillance has been proven to be cost-effective due to the associated reduction in the number of nosocomial infections. Cost-effectiveness is maximized through the collaboration of the laboratory, through epidemiologic typing, and the infection control department during epidemiologic investigations.
A PAL/NTSC digital video encoder on 0.6-μm CMOS with 66 dB typical SNR, 0.4% differential gain, and 0.2° differential phase (1997)

A digital video encoder chip which generates phase alternate (PAL) or National Television Standards Committee (NTSC) analog video output signals is presented. The chip operates from 3 to 5.5 V; typical differential gain and phase performance at 5 V is 0.4% and 0.2/spl deg/, respectively, and SNR is 66 dB rms. The architecture, circuit, and die size minimization techniques used to achieve this performance in a 4/spl times/4 mm CMOS die are presented. The die is packaged in a 44-pin plastic quad flatpack package (7/spl times/7 mm). The digital logic has 47 k gates and achieves an average power dissipation of 0.37 /spl mu/W/gate/MHz. The paper also covers the circuit and packaging techniques used to reduce power, /spl Theta/ J-A, and junction temperature in this package in order to allow continuous operation in still-air ambient temperatures of 70/spl deg/C.
Infection of Mice with <i>Francisella</i> as an Immunological Model (2011)

This unit describes the utility of various mouse models of infection for studying pathogenesis and adaptive immune responses to the facultative intracellular bacteria pathogen Francisella tularensis. By judicious use of different combinations of mouse and bacterial strains, as well as different routes of infection, murine tularemia models may be used to explore a complete picture of F. tularensis infection and immunity. Moreover, studies using Francisella, particularly the Live Vaccine Strain (LVS), serve as a convenient and tractable model system that appears to be representative of mammalian host responses to intracellular pathogens in general.
Generating biological models through gene transfer to domestic animals. (1997)

Transgenic domestic animals remain infrequently used as models for biochemical, biomedical or pharmaceutical studies. The difficulty in obtaining these animals and the cost of their maintenance explains this situation. This review briefly summarizes the different techniques of gene transfer, targeted or not, and also the techniques for constructing vectors for transgene expression. A few examples of domestic animal models are also reported.
Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph (2017)

Approximate nearest neighbor search (ANNS) is a fundamental problem in databases and data mining. A scalable ANNS algorithm should be both memory-efficient and fast. Some early graph-based approaches have shown attractive theoretical guarantees on search time complexity, but they all suffer from the problem of high indexing time complexity. Recently, some graph-based methods have been proposed to reduce indexing complexity by approximating the traditional graphs; these methods have achieved revolutionary performance on million-scale datasets. Yet, they still can not scale to billion-node databases. In this paper, to further improve the search-efficiency and scalability of graph-based methods, we start by introducing four aspects: (1) ensuring the connectivity of the graph; (2) lowering the average out-degree of the graph for fast traversal; (3) shortening the search path; and (4) reducing the index size. Then, we propose a novel graph structure called Monotonic Relative Neighborhood Graph (MRNG) which guarantees very low search complexity (close to logarithmic time). To further lower the indexing complexity and make it practical for billion-node ANNS problems, we propose a novel graph structure named Navigating Spreading-out Graph (NSG) by approximating the MRNG. The NSG takes the four aspects into account simultaneously. Extensive experiments show that NSG outperforms all the existing algorithms significantly. In addition, NSG shows superior performance in the E-commercial search scenario of Taobao (Alibaba Group) and has been integrated into their search engine at billion-node scale.
Successful Recording of End-tidal Concentration of Oxygen and Carbon dioxide at Return of Spontaneous Circulation: A Case Report of Cardiopulmonary Resuscitation. (1994)

心肺蘇生中の終末呼気炭酸ガス濃度(ETco2)は蘇生の成否とよく相関し,また自己心拍再開の指標としても有用であるといわれているが臨床例での記録は少ない。われわれは,麻酔中の心停止例で自己心拍再開時のETco2および終末呼気酸素濃度(ETo2)をラマン散乱ガス分析器(RASCALTM)にて記録しえた。心臓マッサージ中のETco2は10～20mmHgであったが,自己心拍再開と同時に急激に約60mmHgまで上昇した。ETo2は蘇生中ほぼ100%であったが90%まで低下した。ETo2は心肺蘇生中の重炭酸ナトリウム投与等治療の影響を受けにくく,ETo2も自己心拍再開の有用なモニターとなりうると考えられた。
S18327 (1-[2-[4-(6-fluoro-1, 2-benzisoxazol-3-yl)piperid-1-yl]ethyl]3-phenyl imidazolin-2-one), a novel, potential antipsychotic displaying marked antagonist properties at alpha(1)- and alpha(2)-adrenergic receptors: I. Receptorial, neurochemical, and electrophysiological profile. (2000)

S18327 displayed modest affinity for human (h)D(2) and hD(3) receptors and high affinity for hD(4) receptors. At each, S18327 antagonized stimulation of [(35)S]guanosine-5'-O-(3-thio)triphosphate binding by dopamine (DA). It also blocked activation of mitogen-activated protein kinase at hD(3) receptors. The affinity of S18327 at hD(1) and hD(5) sites was modest. S18327 showed pronounced affinity for human serotonin (h5-HT)(2A) receptors and human alpha(1A)-adrenergic receptors (hARs), at which it antagonized increases in intracellular Ca(2+) concentration levels elicited by 5-HT and norepinephrine (NE), respectively. S18327 presented significant affinity for halpha(2A)-ARs and antagonized NE-induced[(35)S]guanosine-5'-O-(3-thio)triphosphate binding both at these sites and at alpha(2)-ARs in rat amygdala. Reflecting blockade of alpha(2)-autoreceptors, S18327 enhanced firing of adrenergic neurons in locus ceruleus, accelerated hippocampal synthesis of NE, and increased dialysate levels of NE in hippocampus, accumbens, and frontal cortex. S18327 abolished inhibition of ventrotegmental area-localized dopaminergic neurons by apomorphine. However, S18327 alone did not affect their activity and only modestly enhanced cerebral turnover of DA and dialysate levels of DA in striatum and accumbens. In contrast, S18327 markedly increased dialysate levels of DA in frontal cortex, an action abolished by the selective alpha(2)-AR agonist, S18616. Finally, S18327 reduced synthesis and dialysate levels of 5-HT in striatum and suppressed firing of dorsal raphe-localized serotonergic neurons, an action attenuated by the alpha(1)-AR agonist cirazoline. In conclusion, S18327 possesses marked antagonist activity at alpha(1)-ARs and D(4) and 5-HT(2A) receptors and less potent antagonist activity at alpha(2)-ARs and D(1) and D(2) receptors. Antagonism by S18327 of alpha(2)-ARs enhances adrenergic transmission and reinforces frontocortical dopaminergic transmission, whereas blockade of alpha(1)-ARs inhibits dorsal raphe-derived serotonergic pathways. As further described in the accompanying paper, this profile of activity may contribute to the potential antipsychotic properties of S18327.
A volumetric object detection framework with dual-energy CT (2008)

In this paper we present a new efficient framework that implements volumetric object detection for dual energy CT. First, we improve the original H-L curve table method with 28 elements, to get accurate material information by reconstruction. Then, we use the material information to localize suspicious regions and apply our volumetric object detection function. We reduce the dimension of the detection from 3D to 2D by using central slices, and use boosting 2d Haar features to achieve the 2D detection. Finally, we succeed in locating the target in our real world circumstance simulated baggage.
Rifampicin may be repurposed for COVID-19 treatment: Insights from an in-silico study (2020)

Abstract The ongoing Coronavirus disease 2019 (COVID-19) outbreak has led to global epidemics with high morbidity and mortality. However, there are no efficacious therapeutic options available for the treatment of COVID-19. Considering this medical emergency, drug repurposing is the need of the hour. Therefore, this study aimed to determine possible COVID-19 drug candidates using virtual screening of selected FDA approved drugs by targeting the main protease (Mpro) of novel coronavirus (SARS-CoV-2). In this study, first, we have done an extensive literature search to find out the marketed FDA approved drug compounds available for human therapeutic applications having anti-viral and anti-bacterial properties. The preliminary reports paved the way for further studies that revealed some of the drugs approved to treat other viral or bacterial infections may be a promising drug candidate and can be repurposed for the treatment of COVID-19. Using a computer-aided drug designing approach, novel candidates for drug repurposing were identified. Based on our preliminary screening supported by previous works of literature, we selected Rifampicin, Ciclesonide, Reserpine, Loperamide, Elvitegravir, Brivudine, Pentoxifylline, Eugenol, Isoniazid, Tinidazole, Diethylcarbamazine, and Vancomycin to target the SARS-CoV-2 main protease (Mpro). These compounds were examined based on docking studies using Autodock 4.2 Autodock 4.2., visualization of the docked results using Pymol version 1.7.4.5 Edu and prediction of two main toxicity aspects hepatotoxicity and cytotoxicity to check the safety of the hit compounds. Selected drugs were ranked for potential efficacy against COVID-19 based on their binding energy. The docking results were found in the order of Rifampicin (-11.16), Ciclesonide (-8.77), Reserpine (-7.76), Loperamide (-7.63), Elvitegravir (-6.58), Brivudine (-6.06), Pentoxifylline (-5.64), Eugenol (-4.78), Isoniazid (-4.71), Tinidazole (-4.51), Diethylcarbamazine (-4.66), Vancomycin (-4.11). ). In the current study, Rifampicin appeared as the most promising drug showing a very good binding energy. Based on our preliminary insights from in silico studies, we propose that Rifampicin may be repurposed for the treatment of COVID-19 however it is pertinent to mention here that our findings need further validation by in vitro studies and clinical trials. In summary, the findings of this study suggest Rifampicin might be a promising drug for targeting the COVID-19 protease.