gebhart/patrepeval huggingface dataset:
Chemoenzymic synthesis of 2-amino-3-(2,2'-bipyridinyl)propanoic acids (1993)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTChemoenzymic synthesis of 2-amino-3-(2,2'-bipyridinyl)propanoic acidsBarbara Imperiali, Thomas J. Prins, and Stewart L. FisherCite this: J. Org. Chem. 1993, 58, 6, 1613–1616Publication Date (Print):March 1, 1993Publication History Published online1 May 2002Published inissue 1 March 1993https://pubs.acs.org/doi/10.1021/jo00058a058https://doi.org/10.1021/jo00058a058research-articleACS PublicationsRequest reuse permissionsArticle Views1536Altmetric-Citations81LEARN 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-AlertscloseSupporting Info (1)»Supporting Information Supporting Information Get e-Alerts
High Endurance Self-Heating OTS-PCM Pillar Cell for 3D Stackable Memory (2018)

For the first time published, high endurance OTS (ovonic threshold switch, here, TeAsGeSiSe-based) is integrated with PCM (here, doped Ge2Sb2Te5) to form a 3D stackable pillar type device. With the help of an etch buffer layer and a damage-free pillar RIE process, we achieved 100% array yield without OTS/PCM composition modification. Anneal tests show this one-selector/one-resistor (1S1R) pillar device is BEOL-compatible.We report excellent electrical performance by 1S1R OTS-PCM device; selector provides the fast turn on/off speed which enables 10ns fast RESET speed, program endurance is 109 cycles, and read endurance is higher than 1011 cycles.
A novel cross point one-resistor (0T1R) conductive bridge random access memory (CBRAM) with ultra low set/reset operation current (2012)

Using the dual Vth characteristics of a multi-layer SiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> /SiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> /Cu-GST conducting bridge (CB) structure we can construct a one-resistor cell without an access device (0T1R). Like 1T Flash memory the Vth is used to store the logic state thus leaving all devices always at high resistance state and a separate isolation device is not needed. The Vth of the cell is determined by the presence of CB in the SiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> layer only. The CB in the SiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> is present only temporarily during reading, and is spontaneously dissolved afterward. This spontaneous rupture of the filament in the SiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> layer greatly reduces the switching current as well as reducing the read disturb. The mechanism for the spontaneous rupture phenomenon is investigated.
Structure from Splatter (2015)

ADVERTISEMENT RETURN TO ISSUEPREVFirst ReactionsNEXTStructure from SplatterWill mass spectrometry join other common methods of protein structure elucidation? New developments from the Wysocki group show how surface induced dissociation can help toward this goal.Julie A. LearyView Author Information Department of Molecular and Cellular Biology, University of California, Davis, 1 Shields Road, Briggs 130, Davis, California 95616, United StatesE-mail: [email protected]Cite this: ACS Cent. Sci. 2015, 1, 9, 475–476Publication Date (Web):December 15, 2015Publication History Published online15 December 2015Published inissue 23 December 2015https://doi.org/10.1021/acscentsci.5b00390Copyright © 2015 American Chemical SocietyRIGHTS & PERMISSIONSACS AuthorChoiceArticle Views691Altmetric-Citations-LEARN 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 (2 MB) Get e-AlertsSUBJECTS:Collisions,Dissociation,Ions,Peptides and proteins,Protein structure Get e-Alerts
Online learning versus blended learning (2014)

Due to the recent emergence of massive open online courses (MOOCs), students and teachers are gaining unprecedented access to high-quality educational content. However, many questions remain on how best to utilize that content in a classroom environment. In this small-scale, exploratory study, we compared two ways of using a recorded video lecture. In the online learning condition, students viewed the video on a personal computer, and also viewed a follow-up tutorial (a quiz review) on the computer. In the blended learning condition, students viewed the video as a group in a classroom, and received the follow-up tutorial from a live lecturer. We randomly assigned 102 students to these conditions, and assessed learning outcomes via a series of quizzes. While we saw significant learning gains after each session conducted, we did not observe any significant differences between the online and blended learning groups. We discuss these findings as well as areas for future work.
Hardware stream cipher with controllable chaos generator for colour image encryption (2013)

This study presents hardware realisation of chaos‐based stream cipher utilised for image encryption applications. A third‐order chaotic system with signum non‐linearity is implemented and a new post processing technique is proposed to eliminate the bias from the original chaotic sequence. The proposed stream cipher utilises the processed chaotic output to mask and diffuse input pixels through several stages of XORing and bit permutations. The performance of the cipher is tested with several input images and compared with previously reported systems showing superior security and higher hardware efficiency. The system is experimentally verified on XilinxVirtex 4 field programmable gate array (FPGA) achieving small area utilisation and a throughput of 3.62 Gb/s.
The Role of Intermolecular Interactions in Molecular Electronics (1994)

The role of intermolecular interactions in determining quadratic nonlinear optical macroscopic hyperpolarizabilities is investigated using the intermediate neglect of differential overlap (INDO/S) (ZINDO) sum-over-excited particle-hole-states (SOS) formalism on clusters (dimers and trimers) of archetypical donor-acceptor π-electron chromophores. The calculated aggregate hyperpolarizability strongly depends on relative molecular orientations, exhibiting the largest values in slipped cofacial arrangements, where the donor substituent of one unit is in close proximity to the acceptor substituent of the nearest neighbor. These results argue that cofacial assembly of chromophores having low dipole moments should maximize molecular contributions to the macroscopic susceptibility. The classical "two-level" model is generally a good approximation for estimating hyperpolarizabilities in such systems. The second-order response of model molecular 1:1 and asymmetric 2:1 electron donor-acceptor (EDA) complexes is also investigated using the INDO/S formalism. Intermolecular charge-transfer (CT) transitions in EDA complexes represent a promising approach to achieving sizable second-order optical nonlinearities. Calculated hyperpolarizabilities reflect the strength of the donor-acceptor interaction in the complex, affording for a given acceptor, the largest values in the case of the strongest donors. The large change in dipole moment accompanying intermolecular CT transitions and low-lying CT excitation frequencies are major sources of the large calculated second-order nonlinearities. The two-level model is again a useful first approximation for predicting the nonlinear response of such complexes.
Performance of a combined optical coherence tomography and scanning laser ophthalmoscope with adaptive optics for human retinal imaging applications (2015)

We describe the design and performance of a recently implemented retinal imaging system for the human eye that combines adaptive optics (AO) with spectral domain optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO). The AO-OCT-SLO system simultaneously acquires SLO frames and OCT B-scans at 60 Hz with an OCT volume acquisition scan rate of 0.24 Hz. The SLO images are used to correct for eye motion during the registration of OCT B-scans. Key optical design considerations are discussed including: minimizing system aberrations through the use of off-axis relay telescopes; choice of telescope magnification based on pupil plane requirements and restrictions; and the use of dichroic beam splitters to separate and re-combine OCT and SLO beams around the nonshared horizontal scanning mirrors. We include an analysis of closed-loop AO correction on a model eye and compare these findings with system performance <i>in vivo</i>. The 2D and 3D OCT scans included in this work demonstrate the ability of this system to laterally and axially resolve individual cone photoreceptors, while the corresponding SLO images show the <i>en face</i> mosaics at the photoreceptor layer showing rods and cones. Images from both healthy and diseased retina are presented.
Cloning and characterization of a latex allergen (Hev b7): homology to patatin, a plant PLA2 (1998)

We previously identified a 46-kD protein allergen in latex as having amino acid sequence homology to the patatin gene family. The objective of this study was to characterize this protein by molecular techniques. RNA was isolated from the latex or leaf material from Hevea brasiliensis and from potato tubers. Specific polymerase chain reaction (PCR) primers were designed from the amino acid sequence and reverse transcriptase (RT)-PCR amplified a specific product from latex RNA that was subsequently cloned and sequenced. This product was 1493 bp in length with an 1167 bp open reading frame. The deduced amino acid sequence encodes for a 389 aa protein, pI 4.82 with 43% homology to tobacco patatin. Northern analysis of potato, Hevea leaf, and latex RNA demonstrated the message to be most abundant in latex, weakly present in Hevea leaf, but no hybridization occurred with potato RNA. Patatin has lipid acyl-transferase and PLA2-like activity, suggesting it plays a role as a defence-related protein. Other defence-related proteins in latex such as hevein, glucanase, and hevamine are also allergens. Increased production of defence-related proteins as a result of increased tapping of the rubber trees to meet the demand for latex may explain the increased allergenicity of latex.
Unsupervised models for morpheme segmentation and morphology learning (2007)

We present a model family called Morfessor for the unsupervised induction of a simple morphology from raw text data. The model is formulated in a probabilistic maximum a posteriori framework. Morfessor can handle highly inflecting and compounding languages where words can consist of lengthy sequences of morphemes. A lexicon of word segments, called morphs, is induced from the data. The lexicon stores information about both the usage and form of the morphs. Several instances of the model are evaluated quantitatively in a morpheme segmentation task on different sized sets of Finnish as well as English data. Morfessor is shown to perform very well compared to a widely known benchmark algorithm, in particular on Finnish data.
Polished Spinel Directly from the Hot Press (2012)

This chapter contains sections titled: Background Experimental Approach Conclusion
Mitigating Zinc Vapor Induced Weld Defects in Laser Welding of Galvanized High-Strength Steel by Using Different Supplementary Means (2012)

Mitigating Zinc Vapor Induced Weld Defects in Laser Welding of Galvanized High-Strength Steel by Using Different Supplementary Means
Sweating the small stuff: Glycoproteins in human sweat and their unexplored potential for microbial adhesion (2015)

There is increasing evidence that secretory fluids such as tears, saliva and milk play an important role in protecting the human body from infection via a washing mechanism involving glycan-mediated adhesion of potential pathogens to secretory glycoproteins. Interaction of sweat with bacteria is well established as the cause of sweat-associated malodor. However, the role of sweat glycoproteins in microbial attachment has received little, if any, research interest in the past. In this review, we demonstrate how recent published studies involving high-throughput proteomic analysis have inadvertently, and fortuitously, exposed an abundance of glycoproteins in sweat, many of which have also been identified in other secretory fluids. We bring together research demonstrating microbial adhesion to these secretory glycoproteins in tears, saliva and milk and suggest a similar role of the sweat glycoproteins in mediating microbial attachment to sweat and/or skin. The contribution of glycan-mediated microbial adhesion to sweat glycoproteins, and the associated impact on sweat derived malodor and pathogenic skin infections are unchartered new research areas that we are beginning to explore.
Secure Bar Code Reader for the THz Region (2021)

We Designed a new bar code reader based on leaky parallel plate waveguide. The barcode can be produced easily and can be used securely compared to optical bar codes.
Control Systems Cyber Security Reference Architecture (RA) for Critical Infrastructure: Healthcare and Hospital Vertical Example (2021)

A reference architecture (RA) provides a common frame of reference with a common vocabulary, reusable designs, and principles that may be applied to future architectures. It can promote re‐use of best practices, improve interoperability, and improve awareness of a system under development of the same mindset. The next version of the Department of Defense (DoD) Chief Information Officer (CIO) Cyber Security Reference Architecture (CSRA) will include an appendix for control systems. It provides a frame of reference for cybersecurity implementations based on generalizations of common principles that can provide a starting point for an organization's architecture effort, inform decision‐making, suggest governance, and help define future policy decisions for control systems. The appendix is based on the outcome of the MOSIACS Joint Capability Technology Demonstration (JCTD), which provides the initial cyber defensive capability framework for integrations of Commercial‐Off‐The‐Shelf (COTS) and Government‐Off‐The‐Shelf (GOTS) components to form a control system cyber defensive solution. The MOSAICS capability was successfully demonstrated in the energy sector critical infrastructure vertical on a power system in August 2021. Its applicability embodied delivery methods for technologies in other essential infrastructure sectors, repeatable playbooks for automated Courses of Action (COA), best practices, and templates for cyber security requirements for control systems. The advantages of the RA are to enable better decision‐making and policy‐making support about cybersecurity for control systems. This paper demonstrates the RA used in the Healthcare and Public Health sector's critical infrastructure vertical to evaluate concepts such as Zero Trust (ZT) and Defense‐in‐Depth (DiD) architecture principles related to policymaking.
A new method for robust organ positioning in CT images (2012)

Robust initialization is essential for any successful segmentation process of medical images. For CT images, initialization is challenging because quality, appearance, content, and field-of-view of the images are highly variable. Furthermore, high execution speed is desirable, whereas the user tolerance to errors is low in clinical applications. We present a new method for efficient and robust positioning of organs in CT images. It is based on a novel probabilistic atlas that, given a tissue type, describes the probability density of the random variable spatial location. Random sampling is then employed to select the most informative points for matching. We present results on pelvic and abdominal images acquired for radiotherapy planning.
Search for Narrow Hγ Resonances in Proton-Proton Collisions at s=13  TeV (2019)

A search for heavy, narrow resonances decaying to a Higgs boson and a photon (Hγ) has been performed in proton-proton collision data at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 35.9 fb^{-1} collected with the CMS detector at the LHC in 2016. Events containing a photon and a Lorentz-boosted hadronically decaying Higgs boson reconstructed as a single, large-radius jet are considered, and the γ+jet invariant mass spectrum is analyzed for the presence of narrow resonances. To increase the sensitivity of the search, events are categorized depending on whether or not the large-radius jet can be identified as a result of the merging of two jets originating from b quarks. Results in both categories are found to agree with the predictions of the standard model. Upper limits on the production rate of Hγ resonances are set as a function of their mass in the range of 720-3250 GeV, representing the most stringent constraints to date.
Learned Monotone Minimal Perfect Hashing (2023)

A Monotone Minimal Perfect Hash Function (MMPHF) constructed on a set S of keys is a function that maps each key in S to its rank. On keys not in S, the function returns an arbitrary value. Applications range from databases, search engines, data encryption, to pattern-matching algorithms. In this paper, we describe LeMonHash, a new technique for constructing MMPHFs for integers. The core idea of LeMonHash is surprisingly simple and effective: we learn a monotone mapping from keys to their rank via an error-bounded piecewise linear model (the PGM-index), and then we solve the collisions that might arise among keys mapping to the same rank estimate by associating small integers with them in a retrieval data structure (BuRR). On synthetic random datasets, LeMonHash needs 34% less space than the next larger competitor, while achieving about 16 times faster queries. On real-world datasets, the space usage is very close to or much better than the best competitors, while achieving up to 19 times faster queries than the next larger competitor. As far as the construction of LeMonHash is concerned, we get an improvement by a factor of up to 2, compared to the competitor with the next best space usage. We also investigate the case of keys being variable-length strings, introducing the so-called LeMonHash-VL: it needs space within 13% of the best competitors while achieving up to 3 times faster queries than the next larger competitor.
A Load Switching Group based Feeder-level Microgrid Energy Management Algorithm for Service Restoration in Power Distribution System (2021)

This paper presents a load switching group based energy management system (LSG-EMS) for operating microgrids on a distribution feeder powered by one or multiple grid-forming distributed energy resources. Loads on a distribution feeder are divided into load switching groups that can be remotely switched on and off. The LSG-EMS algorithm, formulated as a mixed-integer linear programming (MILP) problem, has an objective function of maximizing the served loads while minimizing the total number of switching actions. A new set of topology constraints are developed for allowing multiple microgrids to be formed on the feeder and selecting the optimal supply path. Customer comfort is accounted for by maximizing the supply duration in the customer preferred service period and enforcing a minimum service duration. The proposed method is demonstrated on a modified IEEE 33-bus system using actual customer data. Simulation results show that the LSG-EMS successfully coordinates multiple grid-forming sources by selecting an optimal supply topology that maximizes the supply period of both the critical and noncritical loads while minimizing customer service interruptions in the service restoration process.
Effect of Coach Feedback and Awareness of Head Impact Exposure on Practice Structure in Youth Football (2021)

With the concern of concussion risk and repetitive head impacts in youth football, organizations have adopted rules that limit contact during practice. However, rule changes are not ubiquitous among organizations and are challenging to monitor and enforce. Ultimately, football practice activities are determined by coaches, but it is unknown whether providing objective data to coaches relating activities to their athletes' head impact exposure (HIE) would alter practice structure or help reduce HIE. This study evaluated the effect of coach awareness of HIE on practice structure over time. Head impact data from three intervention (56 players) and three control (38 players) teams were collected over two youth football seasons. Athletes were instrumented with the Head Impact Telemetry (HIT) System and time-synchronized video was recorded for practices and games. Impact frequencies and head accelerations were compiled into weekly HIE practice and game reports and shared with the head coach of each intervention team. Time per drill, impact rate, and impact magnitude were compared across three time frames (pre-season, mid-season, and late-season) using generalized linear models. Control teams had higher impact rates than intervention teams in all drills across time frames. Among all teams, 95th percentile linear and rotational accelerations were highest during mid-season. Among intervention teams, more time was spent on scrimmage and skill development from pre-season to late-season, with less time spent on tackling. This study suggests that receiving objective data informing HIE in practice may contribute to changes in practice structure and help inform intervention efforts to improve head impact safety in football.
Abstract 19616: M3-RNA Encapsulation Technology Enables Rapid and Temporally Restricted Protein Expression (2016)

Introduction: Targeted induction of protein synthesis by exogenous delivery of coding synthetic mRNA would provide a unique new resource for intervention. Here, an M3-RNA (Microencapsulated Modifie...