gebhart/patrepeval huggingface dataset:
Power Matching Point Tracking Method to Regulate Bus Voltage in DC Distribution Systems (2018)

This paper proposes a new method called Power Matching Point Tracking (PMPT) to regulate dc-bus voltage in dc distribution systems with no grid information, and without contributing the solar DC-DC converter. This task in a generic DC distribution system with photovoltaic (PV) as the distribution generation resource, is undertaken through MPPT control in the solar DC-DC converter. With eliminating this converter, and consequently improved reliability, and efficiency due to the removal of the power conversion unit, the proposed PMPT method can intelligently and efficiently operate in islanding mode when load shedding/surplus are employed to regulate the DC bus voltage with providing the demand response requirements. In addition, this method enables controllable loads to ride-through grid outages, and adjust the load required to meet the power balance in the islanded mode. The simulation and experimental results are presented to indicate that the proposed system can satisfactorily regulate the common bus voltage, and ride through the blackout.
A Multivariate Poisson-Log Normal Mixture Model for Clustering\n Transcriptome Sequencing Data (2017)

High-dimensional data of discrete and skewed nature is commonly encountered\nin high-throughput sequencing studies. Analyzing the network itself or the\ninterplay between genes in this type of data continues to present many\nchallenges. As data visualization techniques become cumbersome for higher\ndimensions and unconvincing when there is no clear separation between\nhomogeneous subgroups within the data, cluster analysis provides an intuitive\nalternative. The aim of applying mixture model-based clustering in this context\nis to discover groups of co-expressed genes, which can shed light on biological\nfunctions and pathways of gene products. A mixture of multivariate Poisson-Log\nNormal (MPLN) model is proposed for clustering of high-throughput transcriptome\nsequencing data. The MPLN model is able to fit a wide range of correlation and\noverdispersion situations, and is ideal for modeling multivariate count data\nfrom RNA sequencing studies. Parameter estimation is carried out via a Markov\nchain Monte Carlo expectation-maximization algorithm (MCMC-EM), and information\ncriteria are used for model selection.\n
Multicohort analysis reveals baseline transcriptional predictors of influenza vaccination responses (2017)

Annual influenza vaccinations are currently recommended for all individuals 6 months and older. Antibodies induced by vaccination are an important mechanism of protection against infection. Despite the overall public health success of influenza vaccination, many individuals fail to induce a substantial antibody response. Systems-level immune profiling studies have discerned associations between transcriptional and cell subset signatures with the success of antibody responses. However, existing signatures have relied on small cohorts and have not been validated in large independent studies. We leveraged multiple influenza vaccination cohorts spanning distinct geographical locations and seasons from the Human Immunology Project Consortium (HIPC) and the Center for Human Immunology (CHI) to identify baseline (i.e., before vaccination) predictive transcriptional signatures of influenza vaccination responses. Our multicohort analysis of HIPC data identified nine genes (<i>RAB24</i>, <i>GRB2</i>, <i>DPP3</i>, <i>ACTB</i>, <i>MVP</i>, <i>DPP7</i>, <i>ARPC4</i>, <i>PLEKHB2</i>, and <i>ARRB1</i>) and three gene modules that were significantly associated with the magnitude of the antibody response, and these associations were validated in the independent CHI cohort. These signatures were specific to young individuals, suggesting that distinct mechanisms underlie the lower vaccine response in older individuals. We found an inverse correlation between the effect size of signatures in young and older individuals. Although the presence of an inflammatory gene signature, for example, was associated with better antibody responses in young individuals, it was associated with worse responses in older individuals. These results point to the prospect of predicting antibody responses before vaccination and provide insights into the biological mechanisms underlying successful vaccination responses.
Real-Time Feature Matching using Adaptive and Spatially Distributed Classification Trees (2006)

This paper presents a method for real-time wide-baseline feature matching. The approach is based on the work of Lepetit and colleagues [9], where randomized decision trees are trained to establish correspondences between detected features in a training image, and those in input frames. Though extremely promising, their actual results can vary depending on the viewpoint and illumination conditions. We combine two approaches to alleviate its limitations. The first aims to update the trees at run-time, adapting them to the actual viewing conditions. The second consists in spatially distributing the trees, so that each of them models a certain viewing volume more precisely. The result is a more stable matching method that significantly extends detectable range and is much more robust to illumination changes, such as cast shadows or reflections.
Outcomes of Various Techniques of Abdominal Fascia Closure after TRAM Flap Breast Reconstruction (2009)

For abdominal fascia repair after TRAM flap breast reconstruction, primary closure, when feasible, is preferable to an inlay graft; polypropylene mesh is preferable to human acellular dermal matrix if an inlay graft is required; adding primary closure to a mesh or human acellular dermal matrix inlay graft reduces bulge formation and other complications; and bulge occurs later with human acellular dermal matrix than with synthetic mesh.
Plasma desorption mass spectrometry of non‐molecular materials: Positive and negative ions formed from [Cd(SC6H4‐2‐CH3)2]∞ (1992)

Abstract Both positive and negative plasma desorption mass spectra of the three‐dimensionally non‐molecular material [Cd(SC 6 H 4 ‐2‐CH 3 ) 2 ]∞ contain fragment ions directly related to the lattice structure of the material. Fragment ions are observed which correspond with [CdSC 7 H 7 ] + ˙ and [CdS 2 C 7 H 7 ] − ˙ which do not involve proton transfer reactions. In contrast, a fragment ion [CdS 2 C 14 H 13 ] − ˙ would appear to involve a deprotonation reaction. The scarcity of protonated positive ion fragments may be a consequence of the sample structure and/or constraints of the analysis system.
IL-1 Family Cytokine Regulation of Vascular Permeability and Angiogenesis (2019)

The IL-1 family of cytokines are well-known for their primary role in initiating inflammatory responses both in response to and acting as danger signals. It has long been established that IL-1 is capable of simultaneously regulating inflammation and angiogenesis, indeed one of IL-1's earliest names was haemopoeitn-1 due to its pro-angiogenic effects. Other IL-1 family cytokines are also known to have roles in mediating angiogenesis, either directly or indirectly via induction of proangiogenic factors such as VEGF. Of note, some of these family members appear to have directly opposing effects in different tissues and pathologies. Here we will review what is known about how the various IL-1 family members regulate vascular permeability and angiogenic function in a range of different tissues, and describe some of the mechanisms employed to achieve these effects.
Scattered Light Tomography: Instrumentation and Ocular Fundus Data with A Vertical Cavity Surface Emitting Laser (1997)

We present a new technique for multiply scattered light tomography, as well as first results, designed to probe the relative thickness and depth of ocular structures. Previous studies have shown that the relative thickness and depth of retinal and subretinal structures provides crucial information in the pathophysiology, progression, and treatment of many eye diseases. Recent noninvasive imaging techniques using scanning laser ophthalmoscopy and near infrared light have demonstrated: a) differences in thickness of the nerve fiber layer in glaucoma as opposed to normal eyes 1 ,b) development of drusen in eyes of adults prior to clinical visualization 2 , c) widespread and otherwise undetected drusen in eyes with neovascularization 3 , and d) thickening as an early sign of neovascular membranes in age-related macular degeneration 3 , 4 .
Unraveling Tetrazine-Triggered Bioorthogonal Elimination Enables Chemical Tools for Ultrafast Release and Universal Cleavage (2018)

Recent developments in bond cleavage reactions have expanded the scope of bioorthogonal chemistry beyond click ligation and enabled new strategies for probe activation and therapeutic delivery. These applications, however, remain in their infancy, with further innovations needed to achieve the efficiency required for versatile and broadly useful tools in vivo. Among these chemistries, the tetrazine/ trans-cyclooctene click-to-release reaction has exemplary kinetics and adaptability but achieves only partial release and is incompletely understood, which has limited its application. Investigating the mechanistic features of this reaction's performance, we discovered profound pH sensitivity, exploited it with acid-functionalized tetrazines that both enhance and markedly accelerate release, and ultimately uncovered an unexpected dead-end isomer as the reason for poor release. Implementing facile methods to prevent formation of this dead end, we have achieved exceptional efficiency, with essentially complete release across the full scope of physiologic pH, potentiating drug-delivery strategies and expanding the dynamic range of bioorthogonal on/off control.
A 15 -- 15 mm, 1 μA, reliable sensor-net module (2006)

An ultra-small, low-power sensor-net module called ZN1 is developed. ZN1 integrates MCU, ZigBee RF into an ultra-small 15 -- 15-mm module with an ultra-low standby current less than 1 μA. The and highly reliable operation for more than 15 years of the ZN1 enable low-cost practical application-specific sensor nodes for HVAC, structure monitoring, office management, security, medicine, and healthcare. We describe architecture and technologies for developing the ZN1 module. Moreover, we demonstrate two applications that we developed simultaneously: food sanitation and home healthcare. We also show results of the ZN1 module evaluation and discuss reliability of the ZN1.
Self-Aligned Double and Quadruple Patterning-aware grid routing with hotspots control (2013)

Although Self-Aligned Double and Quadruple Patterning (SADP, SAQP) have become the most promising processes for sub-20 nm and sub-14 nm node advanced technologies, not all wafer images are realized by them. In advanced technologies, feasible wafer images should be generated effectively by utilizing SADP and SAQP where a wafer image is uniquely determined by a selected mandrel pattern. However, predicting the wafer image of a mandrel pattern is not easy. In this paper, we propose a routing method of generating a feasible wafer image satisfying the connection requirements. Routing algorithms comprising simple connecting and cutting rules are performed on a new grid structure where two (SADP) or three colors (SAQP) are assigned alternately to grid-nodes. Then a mandrel pattern is selected without complex coloring or decomposition methods. Also, hotspot reduction by dummy pattern flipping is proposed. In experiments, feasible wafer images meeting the connection requirements are generated and the effectiveness of the proposed framework is confirmed.
Inhibitors of Myocyte Triacylglyceride Accumulation (2015)

Obesity is associated with a wide range of public health and economic problems throughout diverse demographic groups. As there is a high incidence of insulin resistance and type-2 diabetes among the obese, a mechanistic understanding of the relationship between insulin resistance and caloric consumption / obesity is needed. In cases of obesity and insulin resistance, triacylglycerides (TAG) accumulate within skeletal muscle cell; however, the mechanism of this relationship is not well understood. The research program described herein therefore sought small molecule probes that inhibit TAG accumulation. Toward this end, screening of 227,000 compounds resulted in the identification of MLS-0308942, which inhibited TAG accumulation with an IC50 of 1.7 μM. Subsequent medicinal chemistry follow up identified MLS-0472732 (ML377), which had similar potency (IC50 1.1 μM) with some improved ADME/T properties. Data were confirmed in the H9c2 high content assay (IC50 = 0.84 and 0.79 μM, respectively, with full response) and in a human primary cell assay. Furthermore, the compounds tested negatively for DGAT inhibition and cytotoxicity. Several additional analogs with comparable potency were observed, and the established SAR suggests the synthesis of new analogs in the future, which may address the poor microsomal stability exhibited thus far with the new series of compounds.
Closure to “Discussion of ‘Prediction of Tribological Limits in Sliding Contacts: Flash Temperature Calculations in Sliding Contacts and Material Behavior’” (2017, ASME J. Tribol., 139(4), p. 045501) (2017)

We thank Dr. Abdel-Aal for his comments and discussion. Our intention was the description of temperature, topography, and the wear behavior in quite different tribological systems by known models. Such models provide the opportunity for the construction of pa·v diagrams as a helpful tool to determine transition lines which mark the change of wear mechanisms or the beginning of tribofailure. In order to establish meaningful pa·v diagrams, the determination of the temperature in the region of contact is essential. For the determination of this temperature, the dependency of the respective material properties on the temperature was explicitly considered. Therefore, thermal properties and their variation were implicitly linked to wear damage and the strength of the respective material [1].In addition, for the quantitative wear description in a pa·v diagram, the wear coefficient or the reciprocal shear energy density must be known. According to our understanding, the mechanical affected volume in a friction process is larger than the wear volume. Thereby, it is today not possible to determine the shear energy density theoretically with current models. Therefore, we used the reciprocal shear energy density based on experimental work. It is also interesting to note that the experimentally determined energy density is related to the mechanical and the friction-induced thermal energy.We agree with Dr. Abdel-Aal for the improvement and expansion of the pa·v diagram, further theoretical work is needed and additional theories must be considered.For example, Ting and Winer used in their thermomechanical wear model, a combination of isothermal and thermal stresses [2]. They used the von Mises stress criterion for ductile materials and the maximum tensile stress for brittle materials for the transition between no wear and wear region. Theoretical works by Abdel-Aal described wear transitions based on a combination of mechanical and thermal states in sliding materials. The so-called heat dissipation capacity (HDC) was defined. This parameter is closely related to the shear resistance of the material [3]. Materials with a large HDC dissipate a larger thermal energy.
Organocerium additions to hydrazones: effects of reagent stoichiometry on efficiency and selectivity (1993)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTOrganocerium additions to hydrazones: effects of reagent stoichiometry on efficiency and selectivityScott E. Denmark, James P. Edwards, and Olivier NicaiseCite this: J. Org. Chem. 1993, 58, 3, 569–578Publication Date (Print):January 1, 1993Publication History Published online1 May 2002Published inissue 1 January 1993https://pubs.acs.org/doi/10.1021/jo00055a008https://doi.org/10.1021/jo00055a008research-articleACS PublicationsRequest reuse permissionsArticle Views483Altmetric-Citations71LEARN 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
Alkaline xylan extraction of bleached kraft pulp - effect of extraction time on pulp chemical composition and physical properties (2012)

In this pilot scale study, we examined the effects of alkaline extraction time on xylan removal, pulp and paper properties, and the consequences that need to be addressed when scaling up and intensifying the process. Alkaline extraction of bleached birch kraft pulp yields two fractions: pure polymeric xylan and pulp with reduced xylan content. Our results indicate that a similar amount of xylan can be extracted in 5 min as the amount obtained in 60 min. We found, however, that the shorter extraction time is beneficial to maintain the fiber and paper properties at an acceptable level. This pilot trial demonstrated that the washing procedure of the alkali-treated fibers must be selected with care to avoid causing mechanical damage to fibers and to avoid the loss of fines.
Proceedings of the 2nd ACM Workshop on Cyber-Physical Systems Security and Privacy (2016)

It is our great pleasure to welcome you to the Second ACM Workshop on Cyber-Physical Systems Security and PrivaCy (CPS-SPC) in conjunction with the 23rd ACM Conference on Computer and Communications Security (CCS) in Vienna, Austria.

Our increased dependency on cyber-physical systems (CPS) has amplified concerns of cyber attacks on these systems. These transformative attack methods require additional research into secure control systems and related architectures of CPS. The majority of the published literature addressing the security and privacy of CPS reflect a field still in its infancy; as such, the overall principles, models, and theories for securing CPS have not yet emerged. It is hoped that this workshop will provide a focal point for the research community to begin addressing the security and privacy of CPS in a comprehensive and multidisciplinary manner and, in tandem with other efforts, build a comprehensive research roadmap. As a workshop, we expect to attract papers that reflect ongoing work that are still works in progress.

This year's workshop builds on the foundation laid last year to become one of the premier forums for presentation of interdisciplinary research results and experience reports at the interface of control theory, information security, embedded and real-time systems and human factors applied to CPS. The mission of the workshop is to create a community of researchers focusing on diverse aspects of CPS Security and Privacy, and to provide researchers and practitioners a premiere forum to share their perspectives with others interested in interdisciplinary approaches to solve the challenging security and privacy problems in CPS.

The workshop attracted 26 submissions from across 10 countries, and all papers were reviewed by at least three program committee members. 12 papers were accepted leading to a 46% acceptance rate.
Three-Dimensional Solution Structure of α-Conotoxin MII, an α3β2 Neuronal Nicotinic Acetylcholine Receptor-Targeted Ligand, (1997)

alpha-Conotoxin MII, isolated from Conus magus, is a potent peptidic toxin which specifically targets the mammalian neuronal nicotinic acetylcholine receptor, alpha3beta2 subtype. The three-dimensional structure of alpha-conotoxin MII in aqueous solution has been determined by two-dimensional 1H NMR spectroscopy. NOE-derived distances, refined by an iterative relaxation matrix approach, as well as dihedral and chirality restraints were used in high-temperature biphasic simulated annealing calculations. Fourteen minimum energy structures out of 50 subjected to the SA simulations were chosen for evaluation; these 14 structures have a final RMS deviation of 0.76 +/- 0.31 and 1.35 +/- 0.34 A for the backbone and heavy atoms, respectively. The overall structure is unusually well-defined due to a large helical component around the two disulfide bridges. The principal backbone folding motif may be common to a subclass of alpha-conotoxins. There are two distinct surfaces on the molecule almost at right angles to one another. One entirely consists of the hydrophobic residues Gly1, Cys2, Cys3, Leu15, and Cys16. The second comprises the hydrophilic residues Glu11, His12, Ser13, and Asn14. These surfaces on the ligand could be essential for the subtype-specific recognition of the receptor.
Proceedings of the 2008 ACM SIGPLAN-SIGBED conference on Languages, compilers, and tools for embedded systems (2008)

It is our great pleasure to welcome you to the ACM SIGPLAN/SIGBED 2008 Conference on Languages, Compilers, and Tools for Embedded Systems -- LCTES 2008. This year's symposium continues its tradition of being the premier forum for presentation of research results on leading edge issues in embedded systems.

The call for papers attracted 68 submissions (40 from outside the United States) from all continents except Africa and Antarctica. Each submission was reviewed by at least three program committee members. The program committee meeting was held on March 1 2008 in Salt Lake City, Utah, USA. The program committee accepted 17 papers that cover a variety of topics, including programming languages, timing analysis, compiler optimization, and architectures.
Towards Understanding the Performance of Traffic Policing in Programmable Hardware Switches (2021)

To provide the predictability required by emerging applications, operators typically rely on policing and/or shaping at the edge to ensure that tenants do not use excess bandwidth that was not accounted for. One of the promises of 6G is to deploy applications with strict predictability requirements across subnets and even over the Internet, where policing cannot be implemented in the end hosts. This paper presents an empirical study of the ability of modern programmable network devices to implement predictable traffic policing in the network. We find out that none of the five investigated hardware switches can provide accurate traffic policing, a key requirement for providing predictable service to applications. We observe that the switches let applications send more than what they should be allowed to, reaching up to 60% and 100% relative error for the rate and burst parameters. We further uncover the fact that switches cannot police arbitrarily low bursts, e.g., not less than 13 kilobit for one of our switches. We investigate how such limitations impact the performance of state-of-the-art solutions for predictable latency such as Chameleon. We observe that, for ensuring its predictable guarantees, Chameleon rejects around 50% of the tenants it could accommodate if switches were perfect, hence decreasing by the same ratio the revenue for the operator. Based on these observations, we discuss solutions toward more accurate and predictable policing in wide-area networks.