gebhart/patrepeval huggingface dataset:
Studies of silicoaluminophosphates with the sodalite structure (1988)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTStudies of silicoaluminophosphates with the sodalite structureDennis. Hasha, Ligia. Sierra de Saldarriaga, Carlos. Saldarriaga, Paul E. Hathaway, David F. Cox, and Mark E. DavisCite this: J. Am. Chem. Soc. 1988, 110, 7, 2127–2135Publication Date (Print):March 1, 1988Publication History Published online1 May 2002Published inissue 1 March 1988https://pubs.acs.org/doi/10.1021/ja00215a020https://doi.org/10.1021/ja00215a020research-articleACS PublicationsRequest reuse permissionsArticle Views796Altmetric-Citations127LEARN 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
Augmenting conversational dialogue by means of latent semantic googling (2005)

This paper presents Latent Semantic Googling, a variant of Landauer's Latent Semantic Indexing that uses the Google search engine to judge the semantic closeness of sets of words and phrases. This concept is implemented via Ambient Google, a system for augmenting conversations through the classification of discussed topics. Ambient Google uses a speech recognition engine to generate Google keyphrase queries directly from conversations. These queries are used to analyze the semantics of the conversation, and infer related topics that have been discussed. Conversations are visualized using a spring-model algorithm representing common topics. This allows users to browse their conversation as a contextual relationship between discussed topics, and augment their discussion through the use of related websites discovered by Google. An evaluation of Ambient Google is presented, discussing user reaction to the system.
Design considerations and performance comparison of high-order modulation formats using OFDM (2010)

This paper addresses OFDM transmission over optical links with high spectral efficiency, i.e. by using high-order QAM-modulation schemes as a mapping method prior to the OFDM multicarrier representation. Low and moderate cost optics which is mandatory in access and in metro applications is assumed. Here we address especially direct detection receivers using photo detectors without the need for local lasers at the transmitter side.
Semantic Segmentation Using Multiple Graphs with Block-Diagonal Constraints (2014)

In this paper we propose a novel method for image semantic segmentation using multiple graphs. The multiview affinity graph is constructed by leveraging the consistency between semantic space and multiple visualspaces. With block-diagonal constraints, we enforce the affinity matrix to be sparse such that the pairwise potential for dissimilar superpixels is close to zero. By a divide-and-conquer strategy, the optimizationfor learning affinity matrix is decomposed into several subproblems that can be solved in parallel. Using the neighborhood relationship between superpixels and the consistency between affinity matrix and labelconfidencematrix, we infer the semantic label for each superpixel of unlabeled images by minimizing an objective whose closed form solution can be easily obtained. Experimental results on two real-world image datasetsdemonstrate the effectiveness of our method.
Stanford Molecular Imaging Scholars (SMIS) Program Postdoctoral Training in Molecular Imaging of Cancer Stanford University, Stanford, CA, USA (2009)

The Stanford Molecular Imaging Scholars (SMIS) Program is a diverse training program bringing together more than thirteen Departments, predominantly from the Stanford Schools of Medicine and Engineering, in order to train the next generation of interdisciplinary leaders in molecular imaging. Oncologic molecular imaging is a rapidly growing area within molecular imaging which combines the disciplines of chemistry, cell/molecular biology, molecular pharmacology, physics, bioengineering, imaging sciences, and clinical medicine to advance cancer research, diagnosis, and management. SMIS fellows will conduct innovative research in cancer imaging under the supervision of two faculty mentors from complementary fields, in a comprehensive, integrated, flexible program (up to 3 years). Funding is available for stipend, supplies, and travel. Guaranteed funding for 2 years, with the possibility of a third year.
Analog Read Noise and Quantizer Threshold Estimation From Quanta Image Sensor Bit Density (2022)

Estimation of the analog read noise level and quantizer threshold level to within a few hundredths of an electron can be obtained by measuring the output bit density, D, of a single-bit quanta image sensor (1bQIS) as a function of quanta exposure, H. Analysis of the D-H characteristics as a function of read noise and quantizer threshold levels is performed and a procedure for extraction of estimated read noise and quantizer threshold is suggested and demonstrated.
Using hierarchical location names for scalable routing and rendezvous in wireless sensor networks (2006)

Until practical ad-hoc localisation systems are developed, early deployments of wireless sensor networks will manually configure location information in network nodes in order to assign spatial context to sensor readings. In this paper, we argue that such deployments will use hierarchical location names (for example, a node in a habitat monitoring network might be said to be node number N in cluster C of region R), rather than positions in a two- or three-dimensional coordinate system. We show that these hierarchical location names can be used to design a scalable routing system called HLR. HLR provides a variety of primitives including unicast, scoped anycast and broadcast, as well as various forms of scalable rendezvous. These primitives can be used to implement most of the data-centric routing and storage schemes proposed in the literature; these schemes currently need precise position information and geographic routing in order to scale well. We evaluate HLR using simulations as well as an implementation on the Mica-2 motes.
Complete validation of a continuous and blood-correlated sweat biosensing device with integrated sweat stimulation (2018)

A wearable sweat biosensing device is demonstrated that stimulates sweat and continuously measures sweat ethanol concentrations at 25 s intervals, which is then correlated with blood ethanol during a >3 hour testing phase. The testing involves a baseline condition (no ethanol) followed by a rapid blood and sweat rise of ethanol (oral bolus), and finally, the physiological response of the body as ethanol concentrations return to baseline (metabolized). Data sets include multiple in vivo validation trials and careful in vitro characterization of the electrochemical enzymatic ethanol sensor against likely interferents. Furthermore, the data is analyzed through known pharmacokinetic models with a strong linear Pearson correlation of 0.9474-0.9996. The continuous nature of the data also allows analysis of blood-to-sweat lag times that range between 2.3 to 11.41 min for ethanol signal onset and 19.32 to 34.44 min for the overall pharmacokinetic curve lag time. This work represents a significant advance that builds upon a continuum of previous work. However, unresolved questions include operation for 24 hours or greater and with analytes beyond those commonly explored for sweat (electrolytes and metabolites). Regardless, this work validates that sweat biosensing can provide continuous and blood-correlated data in an integrated wearable device.
Utilizing Conformational Changes for Patterning Thin Films of Recombinant Spider Silk Proteins (2012)

Recombinant spider silk proteins mimicking the properties of dragline silk proteins represent a class of materials that hold great potential for future high-performance applications. Here we explore the self-assembly behavior of a recombinantly produced spider silk protein based on the dragline silk of the Araneus diadematus , eADF4 (C16), by selectively patterning its secondary structure using capillary transfer lithography and solvent-assisted microcontact molding. Two conformational transitions were observed, influenced by initial solvent composition: α-helix/random coil conformation to a more densely packed β-sheet conformation (by casting from 1,1,1,3,3,3-hexafluoro-propanol) and moderate initial β-sheet content to higher β-sheet content (casting from formic acid). Furthermore, by using the solvent-assisted microcontact molding technique, we were able to achieve a submicrometer spatial resolution and reveal fine details of morphological and mechanical changes in patterned regions and at interfaces.
Reorienting Objects in 3D Space Using Pivoting (2019)

We consider the problem of reorienting a rigid object with arbitrary known shape on a table using a two-finger pinch gripper. Reorienting problem is challenging because of its non-smoothness and high dimensionality. In this work, we focus on solving reorienting using pivoting, in which we allow the grasped object to rotate between fingers. Pivoting decouples the gripper rotation from the object motion, making it possible to reorient an object under strict robot workspace constraints. We provide detailed mechanical analysis to the 3D pivoting motion on a table, which leads to simple geometric conditions for its stability. To solve reorienting problems, we introduce two motion primitives: pivot-on-support and roll-on-support, and provide an efficient hierarchical motion planning algorithm with the two motion primitives to solve for the gripper motions that reorient an object between arbitrary poses. To handle the uncertainties in modeling and perception, we make conservative plans that work in the worst case, and propose a robust control strategy for executing the motion plan. Finally we discuss the mechanical requirements on the robot and provide a "two-phase" gripper design to implement both pivoting grasp and firm grasp. We demonstrate the effectiveness of our method in simulations and multiple experiments. Our algorithm can solve more reorienting problems with fewer making and breaking contacts, when compared to traditional pick-and-place based methods.
Topotecan dynamics, tautomerism and reactivity—1H/13C NMR and ESI MS study (2010)

Topotecan (TPT) is in clinical use as an antitumor agent, hycamtin. Because of this, it requires both biologically and chemically useful information to be available. TPT acts by binding to the covalent complex formed by nicked DNA and topoisomerase I. This has a poisonous effect since inserted into the single-strand nick and TPT inhibits its religation. We used NMR to trace TPT dynamics, tautomerism and solvolysis products in various solvents and conditions. Chemical stability was assessed in methanol and DMSO as compared to water, and the regioselectivity of the N- and O-methylation was studied using various alkylating agents. The reaction products of quaternization of the nitrogen atom and methylation of the oxygen atom were characterized by means of ESI MS, (1)H/(13)C-HMBC and -HSQCAD NMR. We have focused on the NMR characterization of TPT with an anticipation that its aggregation, tumbling properties and the intramolecular dipolar interactions will be a common feature for other compounds described in this article. These features can also be useful in tracing the interactions of this class of topoisomerase I (TopoI) poisons with DNA. Moreover, the results explained shed light on the recently disclosed problem of lack of stability of TPT in the heart tissue homogenate samples using the analytical assays developed for this class of compounds carried out in the presence of methanol.
Process for retrofitting an industrial gas turbine engine for increased power and efficiency (2023)

A process for retrofitting an industrial gas turbine engine of a power plant where an old industrial engine with a high spool has a new low spool with a low pressure turbine that drives a low pressure compressor using exhaust gas from the high pressure turbine, and where the new low pressure compressor delivers compressed air through a new compressed air line to the high pressure compressor through a new inlet added to the high pressure compressor. The old electric generator is replaced with a new generator having around twice the electrical power production. One or more stages of vanes and blades are removed from the high pressure compressor to optimally match a pressure ratio split. Closed loop cooling of one or more new stages of vanes and blades in the high pressure turbine is added and the spent cooling air is discharged into the combustor.
Structure and mechanistic analyses of the gating mechanism of elongating ketosynthases (2021)

Abstract Ketosynthases (KSs) catalyze carbon-carbon bond forming reactions in fatty acid synthases (FASs) and polyketide synthases (PKSs). KSs utilize a two-step ping pong kinetic mechanism to carry out an overall decarboxylative thio-Claisen condensation that can be separated into the transacylation and condensation reactions. In both steps, an acyl carrier protein (ACP) delivers thioester tethered substrates to the active sites of KSs. Therefore, protein-protein interactions (PPIs) and KS-mediated substrate recognition events are required for catalysis. Recently, crystal structures of Escherichia coli elongating type II FAS KSs, FabF and FabB, in complex with E. coli ACP, AcpP, revealed distinct conformational states of two active site KS loops. These loops were proposed to operate via a gating mechanism to coordinate substrate recognition and delivery followed by catalysis. Here we interrogate this proposed gating mechanism by solving two additional high-resolution structures of substrate engaged AcpP-FabF complexes, one of which provides the missing AcpP-FabF gate-closed conformation. Clearly defined interactions of one of these active site loops with AcpP are present in both the open and closed conformations, suggesting AcpP binding triggers or stabilizes gating transitions, further implicating PPIs in carrier protein-dependent catalysis. We functionally demonstrate the importance of gating in the overall KS condensation reaction and provide experimental evidence for its role in the transacylation reaction. Furthermore, we evaluate the catalytic importance of these loops using alanine scanning mutagenesis and also investigate chimeric FabF constructs carrying elements found in type I PKS KS domains. These findings broaden our understanding of the KS mechanism which advances future engineering efforts in both FASs and evolutionarily related PKSs.
.alpha.-Amino acids as chiral educts for asymmetric products. Chirospecific syntheses of methyl L-sibirosaminide and its C-3 epimer from L-allothreonine (1985)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXT.alpha.-Amino acids as chiral educts for asymmetric products. Chirospecific syntheses of methyl L-sibirosaminide and its C-3 epimer from L-allothreoninePeter J. Maurer, Christopher G. Knudsen, Alan D. Palkowitz, and Henry RapoportCite this: J. Org. Chem. 1985, 50, 3, 325–332Publication Date (Print):February 1, 1985Publication History Published online1 May 2002Published inissue 1 February 1985https://pubs.acs.org/doi/10.1021/jo00203a008https://doi.org/10.1021/jo00203a008research-articleACS PublicationsRequest reuse permissionsArticle Views430Altmetric-Citations46LEARN 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
Supramolecular amplification of amyloid self-assembly by iodination (2015)

Amyloid supramolecular assemblies have found widespread exploitation as ordered nanomaterials in a range of applications from materials science to biotechnology. New strategies are, however, required for understanding and promoting mature fibril formation from simple monomer motifs through easy and scalable processes. Noncovalent interactions are key to forming and holding the amyloid structure together. On the other hand, the halogen bond has never been used purposefully to achieve control over amyloid self-assembly. Here we show that single atom replacement of hydrogen with iodine, a halogen-bond donor, in the human calcitonin-derived amyloidogenic fragment DFNKF results in a super-gelator peptide, which forms a strong and shape-persistent hydrogel at 30-fold lower concentration than the wild-type pentapeptide. This is remarkable for such a modest perturbation in structure. Iodination of aromatic amino acids may thus develop as a general strategy for the design of new hydrogels from unprotected peptides and without using organic solvents.
Semiclassical four-level single-atom laser (1997)

The recent single-atom microlaser experiment [K. An et al., Phys. Rev. Lett. 73, 3375 (1994)], in which a stream of inverted two-level atoms is injected into an ultrahigh $Q$ cavity, can be understood in the context of a semiclassical four-level laser model. Transit time broadening due to short atom-cavity interaction time effectively introduces nonradiative decay of the two levels in the model. The steady-state solution of semiclassical photon and atom rate equations for the intracavity mean photon number versus the intracavity atom number provides a good fit to the experimental data.
Machine-generated content: creating compelling new content from existing online sources (2010)

Human beings are prolific content producers and consumers. We are constantly talking, telling stories, reading books, drawing cartoons, listening to music, sending emails, watching YouTube, and relaxing with reruns of “The Office”. It’s not surprising, then, that since almost the dawn of modern computing, researchers have been trying to imbue automated systems with some of our ability to create interesting content. Unfortunately, creating content that is interesting–that others will find genuinely compelling–is extremely difficult to do, for people as well as machines. Furthermore, people have always possessed a distinct advantage over machines when creating content: humans are social creatures, and we are able to use popular culture, shared references and context, existing content, in-jokes, societal memes, and the national zeitgeist as an effective starting point for our own content creation. In contrast, computers have typically been effectively stranded on cultural islands, trying to create and compose in a vacuum. Humans’ advantage here is rapidly dissolving, however; as more and more data, information, news, jokes, stories, pictures, and movies move online and become machine-readable, automated systems are able to use these available materials as “grist for the mill” to create their own content. Driven by programmable narrative arcs, such systems can autonomously discover, extract, and refine the vast amounts of information, content, and media already available on the internet; these systems can then intelligently combine and repurpose the material to generate a wholly new, rich, and compelling presentation. Below, I discuss in detail this method for creating “machine-generated content.” I also discuss various systems developed in the lab that embody our approach, including one in particular: “News at Seven”, an automatically generated news and entertainment show. These systems are rudimentary, but I believe the future is clear: as presentational elements improve, and as more and more data, information, and content move online and become machine-readable, the power, flexibility, and breadth of systems that are able to autonomously create new, personalizable content from these materials will improve likewise. In the not-distant future, I expect that a significant portion of the content we consume on a daily basis will be created by machines.
Tunable Yb-doped fiber laser based on a FBG array and a theta ring resonator ensuring a constant repetition rate (Conference Presentation) (2017)

Fiber lasers provide the perfect basis to develop broadly tunable lasers with high efficiency, excellent beam quality and user-friendly operation as they are increasingly demanded by applications in biophotonics and spectroscopy. Recently, a novel tuning scheme has been presented using fiber Bragg grating (FBG) arrays as fiber-integrated spectral filters containing many standard FBGs with different feedback wavelengths. Based on the discrete spectral sampling, these reflective filters uniquely enable tailored tuning ranges and broad bandwidths to be implemented into fiber lasers. Even though the first implementation of FBG arrays in pulsed tunable lasers based on a sigma ring resonators works with good emission properties, the laser wavelength is tuned by a changing repetition rate, which causes problems with applications in synchronized environments. In this work, we present a modified resonator scheme to maintain a constant repetition rate over the tuning range and still benefit from the advantages of FBG arrays as filters. With a theta ring cavity and two counter propagating filter passes, the distributed feedback of the FBG array is compensated resulting in a constant pulse round trip time for each filter wavelength. Together with an adapted gating scheme controlling the emission wavelength with a modulator, the tuning principle has been realized based on a Ytterbium-doped fiber laser. We present first experimental results demonstrating a tuning range of 25nm, high signal contrast and pulse durations of about 10ns. With the prospect of tailored tuning ranges, this pulsed fiber-integrated laser may be the basis to tackle challenging applications in spectroscopy.