gebhart/patrepeval huggingface dataset:
An Expanding Role of 2′,3′-Cyclic Nucleotide Monophosphates in Bacteria (2022)

ADVERTISEMENT RETURN TO ISSUEPREVFirst ReactionsNEXTAn Expanding Role of 2′,3′-Cyclic Nucleotide Monophosphates in BacteriaDemonstration that 2',3'-cNMP bind to bacterial ribosomes to inhibit translation expands the role of these interesting RNA decay products in modulating bacteria physiology.Christopher VennardChristopher VennardDepartment of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United StatesInstitute for Drug Discovery, Purdue University, 720 Clinic Drive, West Lafayette, Indiana 47907, United StatesMore by Christopher Vennardhttps://orcid.org/0000-0002-4279-959X and Herman O. Sintim*Herman O. SintimDepartment of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United StatesInstitute for Drug Discovery, Purdue University, 720 Clinic Drive, West Lafayette, Indiana 47907, United StatesPurdue Institute of Inflammation, Immunology and Infectious Disease, West Lafayette, Indiana 47907, United States*Email: [email protected]More by Herman O. Sintimhttps://orcid.org/0000-0002-2280-9359Cite this: ACS Cent. Sci. 2022, 8, 11, 1480–1483Publication Date (Web):November 15, 2022Publication History Published online15 November 2022Published inissue 23 November 2022https://doi.org/10.1021/acscentsci.2c01184Copyright © Published 2022 by American Chemical SocietyRIGHTS & PERMISSIONSACS AuthorChoiceCC: Creative CommonsBY: Credit must be given to the creatorArticle Views1363Altmetric-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 (1 MB) Get e-AlertscloseSUBJECTS:Antimicrobial agents,Bacteria,Cell signaling,Monomers,Protein identification Get e-Alerts
Scalable semi-classical implementation of Shor factoring using time-multiplexed degenerate optical parametric oscillators (2022)

A scheme to encode arbitrarily long integer pairs on degenerate optical parametric oscillations multiplexed in time is proposed. The classical entanglement between the polarization directions and the phases of the oscillating pulses, regarded as two computational registers, furnishes the integer correlations within each pair. We show the major algorithmic steps, modular exponentiation and discrete Fourier transform, of Shor's quantum factoring algorithm can be executed in the registers as pulse interferences under the assistance of external logics. The factoring algorithm is thus rendered equivalent to a semi-classical optical-path implementation that is scalable and decoherence-free. The sought-after multiplicative order, from which the prime factors are deduced, is identified from a two-dimensional fringe image generated by four-hole interference measured at the end of the path.
Intrusion Prevention Framework for Secure Routing in WSN-Based Mobile Internet of Things (2019)

The infrastructure of wireless sensor networks (WSN) is structured in an ad-hoc manner and organized nodes reporting the events to the Base Station (BS). A WSN is integrated with smart technologies to develop fast Internet of Things (IoT) communications among different applications. Recently, many researchers proposed their solutions to optimize IoT data transmissions in an energy efficient manner with cost effective support. However, most of the solutions have focused on the design and development of static topologies and overlooked the dynamic structure of mobile sensor nodes. Furthermore, due to limited constraints of sensor nodes with open accessibility of wireless communications medium, data protection against malicious activities need to be redesign with the least network overheads. Therefore, the contribution of this article is to propose an intrusion prevention framework for mobile IoT devices with its integration to WSN so that to provide data security with improved network delivery ratio. The proposed framework is composed of two sub-components. Firstly, non-overlapping and autonomously organized clusters are generated and maintained the clusters' stability based on the uncertainty principle. Secondly, end-to-end secure and multi-hop routing paths are developed based on the blockchain architecture. The simulation results demonstrate a significant improvement when compared to existing solutions in terms of different network metrics.
New method to preserve the original proportion and integrity of urinary cell‐free DNA (2018)

Using UCTs, they can maximally keep the original proportion and integrity of ucfDNA and stabilize urinary cells and minimize the background noise caused by urinary cellular DNA releasing, it will be help to open the door of next-generation noninvasive liquid biopsy applications utilizing urine.
Acoustical Technology Applications in Electrical Insulation and Dielectrics (1985)

Acoustical waves travel by molecular interaction, and as a consequence, wave attenuation and transit time can be extremely sensitive to changes in the media in which they propagate. With careful acoustic measurements, a wide variety of media properties can be monitored. These range from variations in gas mixtures and pressure, to changes in material density, porosity, and crystal size and orientation. Acoustical technology can also be applied in the listening mode to sense the tiny acoustic emissions from partial discharges in dielectrics, and from stress, strain, and other events. Many of these acoustic techniques are ideal for applying to the science of electrical insulation and dielectrics, and in this paper these different methods are described and evaluated. The subject is introduced with an outline of ultrasonic partial discharge (PD) diagnostics and nondestructive evaluation, with emphasis on acoustic factors which affect accuracy. It is then shown how the use of acoustic waveguides can improve diagnostic PD measurements in hostile and inaccessible locations. In a completely different application, a technique is described in which sound velocity measurements in gas mixtures are used for predicting electrical strength. Other valuable acoustical applications which are outlined are the monitoring of sounds from bouncing particles on metal surfaces and from gas bubbles generated in liquid dielectrics. From this latter phenomenon the temperature of a hot metal surface in a liquid can be estimated. A related subject which is also discussed is the attenuation of sound waves by gas bubbles in a liquid dielectric.
Two-axis scanning mirror for free-space optical communication between UAVs (2004)

We have developed a SOI/SOI wafer bonding process to design and fabricate two-axis scanning mirrors with excellent performance. These mirrors are used to steer laser beams in free-space optical communication between UAVs.
Efficient Photocatalytic Reduction of CO2 to CO Using NiFe2O4@N/C/SnO2 Derived from FeNi Metal–Organic Framework (2021)

Use of light is considered an effective approach to convert CO<sub>2</sub> into usable chemical energy. In the present study, an iron- and nickel-containing bimetallic metal-organic framework (MOF) was synthesized via a simple solvothermal route. SnO<sub>2</sub> was then composited with the said MOF, and the obtained material was calcined and annealed to fabricate a series of nanophotocatalysts. The annealed sample displayed superior photocatalytic activity to the calcined sample, possibly due to the carbon-nitrogen layer formed after annealing mediating the charge-transfer process. The results of photocatalytic experiments indicated that using [Ru(bpy)<sub>3</sub>]Cl<sub>2</sub>·6H<sub>2</sub>O as a photosensitizer and triethanolamine (TEOA) and acetonitrile (MeCN) as sacrificial agents, the catalyst sample was annealed at 450 °C (NiFe<sub>2</sub>O<sub>4</sub>@N/C/SnO<sub>2</sub>-450) to afford the highest CO yield from CO<sub>2</sub> (2057.41 μmol g<sup>-1</sup> h<sup>-1</sup>). The increase in the photocatalytic ability of the nanocomposites is basically attributed to multiple synergistic effects between NiFe<sub>2</sub>O<sub>4</sub> and SnO<sub>2</sub>, which reduce the recombination probability of the photo-induced electrons and holes. Ultimately, a photocatalytic reaction mechanism is proposed for NiFe<sub>2</sub>O<sub>4</sub>@N/C/SnO<sub>2</sub> in the reduction of CO<sub>2</sub>.
Combined Effects of Metal and Ligand Capable of Accepting a Proton or Hydrogen Bond Catalyze Anti-Markovnikov Hydration of Terminal Alkynes The support of San Diego State University is acknowledged. (2001)

In the second paragraph of the communication by D. B. Grotjahn et al. (Angew. Chem. Int. Ed. 2001, 20, 3884–3887), previous work on complexes of electron-rich or chelating ligands with the CpRuCl fragment was reported (T. Suzuki, M. Tokunaga, Y. Wakatsuki, Org. Lett. 2001, 3, 735–737). The best catalyst in this work was the complex [CpRuCl(Ph2PCH2PPh2)] and not the complex [CpRuCl(Me2PCH2PMe2)] given as an example. Thus, the first sentence of the following paragraph should be: “In contrast, here we report that electron-rich or chelating phosphanes are not needed.” The authors apologize for the error.
PET Image Reconstruction for Pharmacokinetic Modeling of 5-[18F]Fluorouracil in Liver Tumors (1995)

Three different PET image reconstruction techniques were evaluated to quantita­tively measure the 18F-labeled cytostatic agent 5-fluorouracil (5-[18F]FU) in liver metastases of tumor patients: the standard filtered back-projector and two iterative algebraic algorithms with successive overrelaxation for accelerated convergence. Forward-projected activity distributions with different counting statistics were simulated using random number generators based on Poisson processes. The algebraic algorithms were numerically stable with the calculated concen­trations uniformly converging to the theoretical values. The lesion contrast improved with the number of iterations, but was accompanied by increasing image noise. More than 80 iteration steps were necessary to accurately quantify the drug 5-[18F]FU in the metastases (error ≤ 20%).
Convolutional Neural Network-Based Pure Paint Pigment Identification Using Hyperspectral Images (2021)

This research presents the results of the implementation of deep learning neural networks in the identification of pure pigments of heritage artwork, namely paintings. Our paper applies an innovative three-branch deep learning model to maximise the correct identification of pure pigments. The model proposed combines the feature maps obtained from hyperspectral images through multiple convolutional neural networks, and numerical, hyperspectral metric data with respect to a set of reference reflectances. The results obtained exhibit an accurate representation of the pure predicted pigments which are confirmed through the use of analytical techniques. The model presented outperformed the compared counterparts and is deemed to be an important direction, not only in terms of utilisation of hyperspectral data and concrete pigment data in heritage analysis, but also in the application of deep learning in other fields.
Convergence of Markovian Stochastic Approximation with Discontinuous Dynamics (2016)

This paper is devoted to the convergence analysis of stochastic approximation algorithms of the form $\theta_{n+1} = \theta_n + \gamma_{n+1} H_{\theta_n}({X_{n+1}})$, where ${\left\{ {\theta}_n, n \in {\mathbb{N}} \right\}}$ is an ${\mathbb{R}}^d$-valued sequence, ${\left\{ {\gamma}_n, n \in {\mathbb{N}} \right\}}$ is a deterministic stepsize sequence, and ${\left\{ {X}_n, n \in {\mathbb{N}} \right\}}$ is a controlled Markov chain. We study the convergence under weak assumptions on smoothness-in-$\theta$ of the function $\theta \mapsto H_{\theta}({x})$. It is usually assumed that this function is continuous for any $x$; in this work, we relax this condition. Our results are illustrated by considering stochastic approximation algorithms for (adaptive) quantile estimation and a penalized version of the vector quantization.
Faculty Opinions recommendation of Impact of hemodialysis duration on the removal of uremic retention solutes. (2008)

Several studies have stressed the importance of dialysis time in the removal of uremic retention solutes. To further investigate this, nine stable chronic hemodialysis patients were dialyzed for 4, 6, or 8 h processing the same total blood and dialysate volume by the Genius system and high-flux FX80 dialyzers. Inlet blood and outlet dialysate were analyzed for urea, creatinine, phosphorus, and beta2-microglobulin at various times. Total solute removal, dialyzer extraction ratios, and total cleared volumes were significantly larger during prolonged dialysis for urea, creatinine, phosphorus, and beta2-microglobulin. Reduction ratios increased progressively, except for phosphate and beta2-microglobulin, where the ratios remained constant after 2 h. In contrast, no significant difference was found for the reduction ratios of all solutes and Kt/V(urea) between the three different sessions. With longer dialyses, solutes are efficiently removed from the deeper compartments of the patient's body. Our study shows that care must be taken when using Kt/Vurea or reduction ratios as the only parameters to quantify dialysis adequacy. PMID: 18160958
Stable Mono- and Dinuclear Organosilver Complexes (2016)

A series of mononuclear and dinuclear complexes of silver(I), supported by an N-heterocyclic carbene and bound to sp3-, sp2-, and sp-hybridized carbanions, has been synthesized. Synthetic routes include transmetalation from organozinc, organomagnesium, and organosilicon reagents, as well as the deprotonation of a terminal alkyne. These complexes exhibit greater thermal stability than typical organosilver reagents, permitting spectroscopic and structural characterization. The carbanion-bridged disilver cations feature three-center, two-electron bonding with short Ag···Ag distances. A mononuclear vinylsilver complex releases organic homocoupling products upon thermal decomposition, while mononuclear alkylsilver complexes exhibit nucleophilic behavior, for example, inserting CO2 to form silver carboxylates.
Intelligent security framework for iot devices cryptography based end-to-end security architecture (2017)

Internet of Thing (IoT) provide services by linking the different platform devices. They have the limitation in providing intelligent service. The IoT devices are heterogeneous which includes wireless sensors to less resource constrained devices. These devices are prone to hardware/software and network attacks. If not properly secured, it may lead to security issues like privacy and confidentiality. To resolve the above problem, an Intelligent Security Framework for IoT Devices is proposed in this paper. The proposed method is made up of (1) the light weight Asymmetric cryptography for securing the End-To-End devices which protects the IoT service gateway and the low power sensor nodes and (2) implements Lattice-based cryptography for securing the Broker devices/Gateway and the cloud services. The proposed architecture implements Asymmetric Key Encryption to share session key between the nodes and then uses this session key for message transfer This protects the system from Distributed Denial of Service Attacks, eavesdropping and Quantum algorithm attacks. The proposed protocol uses the unique Device ID of the sensors to generate key pair to establish mutual authentication between Devices and Services. Finally, the Mutual authentication mechanism is implemented in the gateway.
Transition Probabilities for the Forced Harmonic Oscillator (1966)

First Page
An analytical model for the optimization of source-side injection flash EEPROM devices (1995)

This paper presents an analytical model for the description of the programming operation in split-gate source-side injection flash memory devices. From a dual-gate MOS model and from device simulations, it is found that the lateral field is almost independent of the floating-gate voltage which focuses the description of the gate current during programming on the physics of the Si-SiO/sub 2/ barrier lowering effect. The traditional Lucky Electron Model is used to accurately describe the gate current and, therefrom, the programming characteristic is calculated analytically with a minor approximation. The validity and the usefulness of the model for device design purposes is demonstrated by comparing the results to experimental data obtained from flash EEPROM cells fabricated in a 1.2 /spl mu/m and a 0.7 /spl mu/m technology, respectively.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
ATGme: Open-source web application for rare codon identification and custom DNA sequence optimization (2015)

This application provides a simple user-friendly interface utilizing three optimization strategies: 1. one-click optimization, 2. bulk optimization (by codon-type), 3. individualized custom (codon-by-codon) optimization. ATGme is an open-source application which is freely available at: http://atgme.org.
ChemInform Abstract: Rhodium‐Catalyzed Dimerization of Arylacetylenes and Addition of Malonates to 1,3‐Enynes. (2013)

Abstract An 8‐quinolinolato rhodium catalyst is found to be effective for head‐to‐tail selective dimerization of arylacetylenes (I).
On the design of an acoustic based wildlife intruder detection system (2013)

The goal of this paper is to discuss some issues related to the design of an acoustic based system for wildlife intruder detection. Considerations on sensors implementation and deployment are presented. The network structure is analyzed and solutions are provided. Algorithms constraints and their development have been pointed out. Finally some experimental results are mentioned.
Comprehensively testing linearity hypothesis using the smooth transition autoregressive model (2022)

This article examines the null limit distribution of the quasi-likelihood ratio (QLR) statistic for testing linearity condition against the smooth transition autoregressive (STAR) model. We explicitly show that the QLR test statistic weakly converges to a functional of a multivariate Gaussian process under the null of linearity, which is done by resolving the issue of identification problem arises in two different ways under the null. In contrast with the Lagrange multiplier test that is widely employed for testing the linearity condition, the proposed QLR statistic has an omnibus power, and thus, it complements the existing testing procedure. We show the empirical relevance of our test by testing the neglected nonlinearity of the US fiscal multipliers and growth rates of US unemployment. These empirical examples demonstrate that the QLR test is useful for detecting the nonlinear structure among economic variables.
Temporal Global Changes in Gene Expression during Temperature Transition in Yersinia pestis (2004)

DNA microarrays encompassing the entire genome of Yersinia pestis were used to characterize global regulatory changes during steady-state vegetative growth occurring after shift from 26 to 37 degrees C in the presence and absence of Ca2+. Transcriptional profiles revealed that 51, 4, and 13 respective genes and open reading frames (ORFs) on pCD, pPCP, and pMT were thermoinduced and that the majority of these genes carried by pCD were downregulated by Ca2+. In contrast, Ca2+ had little effect on chromosomal genes and ORFs, of which 235 were thermally upregulated and 274 were thermally downregulated. The primary consequence of these regulatory events is profligate catabolism of numerous metabolites available in the mammalian host.
Effects of glucose and rhizodeposits (with or without cysteine-S) on immobilized-35S, microbial biomass-35S and arylsulphatase activity in a calcareous and an acid brown soil (2004)

International audience
Design and Fabrication of Automatic Flow Packing Machine: A Reverse Engineering Approach (2021)

In today's competitive word, the automation of material handling, the manufacturing processes have replaced the mundane work in the various industries where the mass production of the part has taken place. The plastic product manufacturing is one of the mass production industry. A flow-packing machine is an essential equipment used for packing the final goods. It facilitates the material handling of bulk and unit material. Automation of flow-packing machine reduces labor requirement, lead time, workplace injuries, and by so allows maximum possible production with best quality. In this paper an automatic feeding mechanism is designed and fabricated for manually operated flow-packing machine. Before automation of the feeding mechanism, parts were placed on the conveyor manually. This results in a large waste of products and a rise possibility of workplace injury. Design of an automatic feeding mechanism overcome these problems. The proposed design is validated in real life scenario.
<title>Dynamic light scattering and natural fluorescence measurements of the corneal tissue</title> (2001)

Dynamic light scattering (DLS) and autofluorescence (AF) are non-invasive diagnostic techniques that can monitor changes at the molecular level in ocular tissues. In the present study, we demonstrate as simultaneous measurements of autofluorescence and dynamic light scattering on the corneal tissues can be performed using a novel specifically designed instrument. The integrated instrument takes advantage of the singular techniques by improving the measurement quality and the reliability of the diagnosis. Preliminary tests on volunteers show promise in relation to possible use in the clinical practice.
Loss of Multimerin-2 and EMILIN-2 Expression in Gastric Cancer Associate with Altered Angiogenesis (2018)

Gastric cancer is a deadly tumor and a relatively common disease worldwide. Surgical resection and chemotherapy are the main clinical options to treat this type of disease, however the median overall survival rate is limited to one year. Thus, the development of new therapies is a highly necessary clinical need. Angiogenesis is a promising target for this tumor type, however clinical trials with the use of anti-angiogenic drugs have so far not met expectations. Therefore, it is important to better characterize the expression of molecules whose expression levels may impact on the efficacy of the treatments. In this study the characteristics of the gastric tumor associated blood vessels were first assessed by endomicroscopy. Next, we analyzed the expression of Multimerin-2, EMILIN-2 and EMILIN-1, three molecules of the EMI Domain ENdowed (EDEN) protein family. These molecules play important functions in the tumor microenvironment, affecting cancer progression both directly and indirectly impinging on angiogenesis and lymphangiogenesis. All the molecules were highly expressed in the normal mucosa whereas in a number of patients their expression was altered. We consider that better characterizing the gastric tumor microenvironment and the quality of the vasculature may achieve effective patient tailored therapies.
Supplementary Figures 1-6, Tables 1-2, Methods from Genetic and Functional Studies Implicate <i>HIF1</i>α as a 14q Kidney Cancer Suppressor Gene (2023)

Supplementary Figures 1-6, Tables 1-2, Methods from Genetic and Functional Studies Implicate &lt;i&gt;HIF1&lt;/i&gt;α as a 14q Kidney Cancer Suppressor Gene