gebhart/patrepeval huggingface dataset:
Impaired Inhibition by Avibactam and Resistance to the Ceftazidime-Avibactam Combination Due to the D 179 Y Substitution in the KPC-2 β-Lactamase (2017)

The ceftazidime-avibactam antibiotic combination was recently shown to be at risk for the emergence of resistance under treatment. To gain insight into the underlying mechanism, we have analyzed the catalytic properties of a <i>Klebsiella pneumoniae</i> carbapenemase type 2 (KPC-2) β-lactamase harboring the D<sup>179</sup>Y substitution. We show that impaired inhibition by avibactam combined with significant residual activity for ceftazidime hydrolysis accounts for the resistance. In contrast, the D<sup>179</sup>Y substitution abolished the hydrolysis of aztreonam and imipenem, indicating that these drugs might provide therapeutic alternatives.
Filtering dirty data in DRAM to reduce PRAM writes (2015)

Phase-change RAM (PRAM) is a promising candidate of emerging memory technologies which provides large capacity and low leakage power to compensate for the limitations of DRAM in the hybrid DRAM/PRAM memory subsystem. However, for practical applications of PRAM in the hybrid main memory, we need to reduce write traffics to PRAM in order to overcome the write-related limitations in PRAM such as write endurance. In our work, we propose a concept called in-DRAM write buffer for the hybrid main memory to reduce PRAM write traffics. The cache line-level dirty data are filtered out from the evicted DRAM row and stored in the write buffer which occupies a portion of DRAM by sacrificing the capacity of DRAM cache. In order to reduce PRAM writes, the write buffer tries to maximize write coalescing by avoiding the PRAM write-back of soon-to-be-accessed dirty data. In order to adapt to the dynamically changing program behavior in PRAM writes, we also propose a method to adjust the write buffer size dynamically during runtime. Experimental results show that the proposed dynamic method offers up to 91.92% reduction in PRAM writes and gives results (average 14.81% and 9.47% reduction in PRAM writes and program runtime, respectively) comparable to the best of static write buffer size cases.
Optimization of Nanostructures for Enhanced Light Trapping in Thin-film Photovoltaics (2013)

We report on a novel optimization method of designing nanostructures for light trapping in thin-film photovoltaics. Absorption enhancement via increasing local density of optical states in slot waveguide configuration is demonstrated to exceed ergodic limit.
Osteophyte formation after ACL rupture in mice is associated with joint restabilization and loss of range of motion (2016)

Osteophytes are a typical radiographic finding during osteoarthritis (OA). Osteophytes are thought to form in response to joint instability; however, the time course of osteophyte formation and joint stabilization following joint injury is not well understood. In this study, we investigated the time course of osteophyte formation and joint function following non-invasive knee injury in mice. We hypothesized that initial joint instability following knee injury would initiate osteophyte formation, which would in turn restabilize the joint and reduce range of motion (ROM). Mice were subjected to non-invasive anterior cruciate ligament (ACL) rupture. Anterior-posterior (AP) joint laxity, ROM, and chondro/osteophyte formation were measured immediately after injury, and 2, 4, 6, and 8 weeks post-injury. Chondrophyte areas at each time point were measured with histology, while mineralized osteophyte volume was determined using micro-computed tomography. Immediately after ACL rupture, AP joint laxity was increased twofold, while ROM was increased 11.7%. Chondrophytes appeared by 2 weeks post-injury, corresponding with a decrease in AP joint laxity and ROM. By 8 weeks post-injury, considerable osteophyte formation was observed around the joint, AP joint laxity returned to control levels, and joint ROM decreased to 61% of control values. These data support a role for chondro/osteophytes in joint restabilization after injury, and provide crucial insight into the time course and pathology of joint degeneration during OA development in the mouse. Statement of Clinical Significance: Results from this study increase understanding of conditions leading to osteophyte formation.© 2016 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 35:466-473, 2017.
A Multimodal Imaging Approach to Assess the Quantitative Biodistribution of a Liposomal Nanoformulation with the antibiotic GSK2485680 (Lipo680) (2022)

Abstract Liposomes are promising targeted drug delivery systems with the potential to improve the efficacy and safety profile of certain classes of drugs. Though attractive, there are unique analytical challenges associated with the development of liposomal drugs including human dose prediction given these are multi-component drug delivery systems. In this study, we developed a multimodal imaging approach to provide a comprehensive distribution assessment for an antibacterial drug, GSK2485680, delivered as a liposomal formulation (Lipo680) in a mouse thigh model of bacterial infection to support human dose prediction. Positron emission tomography (PET) imaging was used to track the in vivo biodistribution of Lipo680 over 48h post-injection providing a clear assessment of the uptake in various tissues and, importantly, the selective accumulation at the site of infection. In addition, a pharmacokinetic model was created to evaluate the kinetics of Lipo680 in different tissues. Matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) was then used to analyze and quantify the distribution of GSK2485680 and a liposomal lipid throughout sections of infected and non-infected thigh tissues at high spatial resolution. Through the combination of both PET and MALDI images, we observed an excellent correlation between the Lipo680-radionuclide signal from PET with GSK2485680 and lipid component signals from MALDI IMS. This multimodal translational method can reduce drug attrition by providing comprehensive biodistribution profiles of drug delivery systems to provide mechanistic insight and elucidate safety concerns. Liposomal formulations have broad potential to deliver therapeutics for other indications, and this work serves as a template to aid in delivering future liposomal drugs to the clinic.
N2-(.gamma.-D-glutamyl)-meso-2-(L),2'(D)-diaminopimelic acid as the minimal prerequisite structure of FK-156: its acyl derivatives with potent immunostimulating activity (1982)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTN2-(.gamma.-D-glutamyl)-meso-2-(L),2'(D)-diaminopimelic acid as the minimal prerequisite structure of FK-156: its acyl derivatives with potent immunostimulating activityYoshihiko Kitaura, Osamu Nakaguchi, Hidekazu Takeno, Satoshi Okada, Satoshi Yonishi, Keiji Hemmi, Joh Mori, Hachiro Senoh, Yasuhiro Mine, and Masashi HashimotoCite this: J. Med. Chem. 1982, 25, 4, 335–337Publication Date (Print):April 1, 1982Publication History Published online1 May 2002Published inissue 1 April 1982https://pubs.acs.org/doi/10.1021/jm00346a001https://doi.org/10.1021/jm00346a001research-articleACS PublicationsRequest reuse permissionsArticle Views153Altmetric-Citations35LEARN 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
Design Guide of Master Arms Considering Operator Dynamics (1993)

In this paper, a design guide of master arms for teleoperation is discussed. The quality of the master arm design has a considerable influence on the maneuverability of master-slave systems. A quantitative measure of the manipulative ability of master arms is proposed, and is obtained by extending the concept of the dynamic manipulability. It is pointed out that the directional property of the manipulability ellipsoid in the work space is an important factor. A second quantitative measure is proposed which evaluates the similarity of the manipulability ellipsoids produced by two situations—when the operator maneuvers the master arm and when he has no payload. Numerical examples and several guidelines for master arm design are shown.
Family Satisfaction in Intensive Care during the COVID-19 Pandemic Using the FS-ICU24 Questionnaire (2022)

This is one of the first studies to assess satisfaction among family members of ICU patients during COVID-19 restrictions and the first, as far as we know, performed in the Portuguese population. The overall satisfaction levels were similar to the estimates found in previous studies. A lower degree of satisfaction with information consistency was found in family members who had in-person visits, possibly related with heterogeneity of senior doctors delivering information. COVID-19 diagnosis was not associated with decreased satisfaction.
Scoring system for renal pathology in Fabry disease: report of the International Study Group of Fabry Nephropathy (ISGFN) (2009)

The development of a standardized scoring system of both disease-specific lesions, i.e. lipid deposition related, and general lesions of progression, i.e. fibrosis and sclerosis, showed a spectrum of histologic appearances even in early clinical stage of Fabry nephropathy. These findings support the role of kidney biopsy in the baseline evaluation of Fabry nephropathy, even with mild clinical disease. The scoring system will be useful for longitudinal assessment of prognosis and responses to therapy for Fabry nephropathy.
Dead-time correction of a multi-element SSD for fluorescent XAFS (1998)

The correct evaluation of the live time of a detection system is found to be important for correcting the counting loss of a multi-element detection system for fluorescent XAFS experiments. Synchronous resetting of preamplifiers and the suspension of electronics during the reset period is an effective method. The dead time of the incoming count rate should also be corrected, since its non-linearity cannot be neglected. A 19-element solid-state detector system which can count up to 3.7 x 10(5) counts s(-1) channel(-1) with <270 eV FWHM for Mn Kalpha has been realized; the dead time was independent of the incoming photon energy.
Synthesis and biological studies of some gold(I) complexes containing functionalised alkynes (2009)

The propargyl ethers 7-chloro-(4-propargyloxy)quinoline, 1-propargyloxynaphthalene and 2-propargyloxybenzophenone react with [AuCl(PPh(3))] in the presence of KOH to give the gold(I) alkynyl complexes [Au(C[triple bond]COCH(2)Ar)(PPh(3))] in good yields. The compounds were fully characterised by spectroscopic methods and were subsequently examined for their biological activity against four tumour cell lines as well as their activity against Plasmodium falciparum, the parasite responsible for malaria. The compounds show antiproliferative effects in human cancer cells with IC(50) values ranging from 0.4-12 microM.
Plutonium Hybrid Materials: A Platform to Explore Assembly and Metal–Ligand Bonding (2022)

We report the synthesis of five new hybrid materials containing the [PuCl<sub>6</sub>]<sup>2-</sup> anion and charge-balancing, noncovalent interaction donating 4-X-pyridinium (X = H, Cl, Br, I) cations. Single crystals of the title compounds were grown and harvested from acidic, chloride-rich, aqueous media, and their structures were determined via X-ray diffraction. Compounds <b>1</b>-<b>4</b>, (4XPyH)<sub>2</sub>[PuCl<sub>6</sub>], and <b>5</b>, (4IPyH)<sub>4</sub>[PuCl<sub>6</sub>]·2Cl, exhibit two distinct sheet-like structure types. Structurally relevant noncovalent interactions were tabulated from crystallographic data and verified computationally using electrostatic surface potential maps and the quantum theory of atoms in molecules (QTAIM). The strength of the hydrogen and halogen bonds was quantified using Kohn-Sham density functional theory, and a hierarchy of acceptor-donor pairings was established. The Pu<sup>IV</sup>-Cl bonds were studied using QTAIM and natural localized molecular orbital (NLMO) analyses to delineate the underlying bond mechanism and hybrid atomic orbital contributions therein. The results of the Pu<sup>IV</sup>-Cl bond analyses were compared across compositions via analogous treatments of previously reported [PuO<sub>2</sub>Cl<sub>4</sub>]<sup>2-</sup> and [PuCl<sub>3</sub>(H<sub>2</sub>O)<sub>5</sub>] molecular units. The Pu-Cl bonds are predominately ionic yet exhibit small varying degrees of covalent character that increases from [PuCl<sub>3</sub>(H<sub>2</sub>O)<sub>5</sub>] and [PuO<sub>2</sub>Cl<sub>4</sub>]<sup>2-</sup> to [PuCl<sub>6</sub>]<sup>2-</sup>, while the participation of the Pu-based s/d and f orbitals concurrently decreases and increases, respectively.
A NEW MEASURE OF RANK CORRELATION (1938)

A NEW MEASURE OF RANK CORRELATION M. G. KENDALL M. G. KENDALL Search for other works by this author on: Oxford Academic Google Scholar Biometrika, Volume 30, Issue 1-2, June 1938, Pages 81–93, https://doi.org/10.1093/biomet/30.1-2.81 Published: 01 June 1938
Feasibility of Detecting Aflatoxin B 1 on Inoculated Maize Kernels Surface using Vis/NIR Hyperspectral Imaging (2014)

The feasibility of using a visible/near-infrared hyperspectral imaging system with a wavelength range between 400 and 1000 nm to detect and differentiate different levels of aflatoxin B1 (AFB1 ) artificially titrated on maize kernel surface was examined. To reduce the color effects of maize kernels, image analysis was limited to a subset of original spectra (600 to 1000 nm). Residual staining from the AFB1 on the kernels surface was selected as regions of interest for analysis. Principal components analysis (PCA) was applied to reduce the dimensionality of hyperspectral image data, and then a stepwise factorial discriminant analysis (FDA) was performed on latent PCA variables. The results indicated that discriminant factors F2 can be used to separate control samples from all of the other groups of kernels with AFB1 inoculated, whereas the discriminant factors F1 can be used to identify maize kernels with levels of AFB1 as low as 10 ppb. An overall classification accuracy of 98% was achieved. Finally, the peaks of β coefficients of the discrimination factors F1 and F2 were analyzed and several key wavelengths identified for differentiating maize kernels with and without AFB1 , as well as those with differing levels of AFB1 inoculation. Results indicated that Vis/NIR hyperspectral imaging technology combined with the PCA-FDA was a practical method to detect and differentiate different levels of AFB1 artificially inoculated on the maize kernels surface. However, indicated the potential to detect and differentiate naturally occurring toxins in maize kernel.
Long-Horizon Direct Model Predictive Control Based on Neural Networks for Electrical Drives (2020)

In this work, the use of a multilayer perceptron feedforward neural network is proposed to capture the solution of the long-horizon finite control set model predictive control (FCS-MPC) problem in electrical drive systems. The motivation behind this research is based on treating the direct model predictive control problem of a power converter as a multi-class classification problem as it consists of a finite set of switching states, which can be seen as a finite number of different classes. By simulation results and hardware in the loop (HIL) test, it is proved that the solution of the long-horizon FCS-MPC can be captured by a real-time computationally implementable neural network that recognizes the converter switching states with an accuracy of 85 - 90%. Hence, it captures the performance enhancement of long horizon FCS-MPC in a computationally efficient manner (15.84 μs).
Vasoactive intestinal peptide for diagnosing exacerbation in chronic obstructive pulmonary disease (2015)

Introduction: Vasoactive Intestinal Peptide (VIP) is the most abundant neuropeptide in the lung. VIP has been linked to pulmonary arterial hypertension and hypoxia in Chronic Obstructive Pulmonary Disease (COPD). We aimed to assess circulating VIP levels at exacerbation and at stable COPD and to evaluate the diagnostic performance in a well-characterized cohort of COPD patients.
Comprehensive Treatment Planning for the Patient with Oral or Systemic Inflammation (2009)

This chapter contains sections titled: The Efficacy of Osseointegrated Dental Implants for Periodontally Compromised Patients Profiles and Treatment Options for Refractory Patients in a Periodontal Practice Systemic Implications of Peri-Implant Inflammation: Mimicry of the Periodontitis-Systemic Disease Model? References
Influence of Film Texture on Reliability of Sol-Gel Derived PZT Thin-Film Capacitors (2013)

Time-dependent dielectric breakdown (TDDB) of lead titanate zirconate (PZT) thin-film capacitors derived by a sol-gel deposition process has been studied. Without any change in heat treatment conditions such as temperature, ramping rate, and keeping time, the films grain size was varied by adding a small amount of organic additive to PZT sol-gel solution for a control of nucleation to form PZT oxide. The reliability was remarkably improved by fabricating interfaces with multi-annealing process, parallel to film surface when the grain size is greater than film thickness, which seems to suppress conductivity of oxygen vacancies.
Photoelectron Spectra of geminal Vinyl‐ and Ethynyl‐Disubstituted Cyclopropane Derivatives (1991)

Abstract The He(I) photoelectron (PE) spectra of 1,1‐divinylcyclopropane ( 1 ), ( Z,E )‐ and ( Z,Z )‐1,1‐di‐1‐propenylcyclopropane ( 2 and 3 ), 1,1‐diethynylcyclopropane ( 4 ), 1‐ethynyl‐1‐propynylcyclopropane ( 5 ), 1‐ethynyl‐1‐vinylcyclopropane ( 6 ), and ( Z )‐1‐(1‐propenyl)‐1‐(propynyl)cyclopropane ( 7 ) have been recorded. The interpretation of the first bands of the PE spectra is based on the comparison with related compounds and on the results of MO calculations. For the calculations on 1 – 7 the MNDO method, and in case of 1, 4 , and 6 an ab‐initio procedure with a 3–21 G basis has been applied. The investigations show that 1, 2, 6 , and 7 prefer the bisected conformation while in 3 the propenyl groups are strongly twisted. Our studies reveal also that the three‐membered ring shows relais properties and interacts strongly with both π systems.
Thick blood film examination for Plasmodium falciparum malaria has reduced sensitivity and underestimates parasite density (2006)

It appears large numbers of parasites are lost during staining. This limits their sensitivity, and leads to erroneous estimates of parasite density.
The Interplay between Long- and Short-Range Temporal Correlations Shapes Cortex Dynamics across Vigilance States (2017)

Increasing evidence suggests that cortical dynamics during wake exhibits long-range temporal correlations suitable to integrate inputs over extended periods of time to increase the signal-to-noise ratio in decision making and working memory tasks. Accordingly, sleep has been suggested as a state characterized by a breakdown of long-range correlations. However, detailed measurements of neuronal timescales that support this view have so far been lacking. Here, we show that the cortical timescales measured at the individual neuron level in freely behaving male rats change as a function of vigilance state and time awake. Although quiet wake and rapid eye movement (REM) sleep are characterized by similar, long timescales, these long timescales are abrogated in non-REM sleep. We observe that cortex dynamics exhibits rapid transitions between long-timescale states and sleep-like states governed by short timescales even during wake. This becomes particularly evident during sleep deprivation, when the interplay between these states can lead to an increasing disruption of long timescales that are restored after sleep. Experiments and modeling identify the intrusion of neuronal offline periods as a mechanism that disrupts the long timescales arising from reverberating cortical network activity. Our results provide novel mechanistic and functional links among behavioral manifestations of sleep, wake, and sleep deprivation and specific measurable changes in the network dynamics relevant for characterizing the brain's changing information-processing capabilities. They suggest a network-level function of sleep to reorganize cortical networks toward states governed by long timescales to ensure efficient information integration for the time awake.<b>SIGNIFICANCE STATEMENT</b> Lack of sleep deteriorates several key cognitive functions, yet the neuronal underpinnings of these deficits have remained elusive. Cognitive capabilities are generally believed to benefit from a neural circuit's ability to reliably integrate information. Persistent network activity characterized by long timescales may provide the basis for this integration in cortex. Here, we show that long-range temporal correlations indicated by slowly decaying autocorrelation functions in neuronal activity are dependent on vigilance states. Although wake and rapid eye movement (REM) sleep exhibit long timescales, these long-range correlations break down during non-REM sleep. Our findings thus suggest two distinct states in terms of timescale dynamics. During extended wake, the rapid switching to sleep-like states with short timescales can lead to an overall decline in cortical timescales.
Supplementary fig 4 from High-dose per Fraction Radiotherapy Induces Both Antitumor Immunity and Immunosuppressive Responses in Prostate Tumors (2023)

&lt;p&gt;Supplemental 4. anti-Gr-1 eradiated MDSC in spleen, blood and tumor.&lt;/p&gt;
Stimuli‐Responsive Silica Silanol Conjugates: Strategic Nanoarchitectonics in Targeted Drug Delivery (2023)

The design of novel drug delivery systems is exceptionally critical in disease treatments. Among the existing drug delivery systems, mesoporous silica nanoparticles (MSNs) have shown profuse promise owing to their structural stability, tunable morphologies/sizes, and ability to load different payload chemistry. Significantly, the presence of surface silanol groups enables functionalization with relevant drugs, imaging, and targeting agents, promoting their utility and popularity among researchers. Stimuli-responsive silanol conjugates have been developed as a novel, more effective way to conjugate, deliver, and release therapeutic drugs on demand and precisely to the selected location. Therefore, it is urgent to summarize the current understanding and the surface silanols' role in making MSN a versatile drug delivery platform. This review provides an analytical understanding of the surface silanols, chemistry, identification methods, and their property-performance correlation. The chemistry involved in converting surface silanols to a stimuli-responsive silica delivery system by endogenous/exogenous stimuli, including pH, redox potential, temperature, and hypoxia, is discussed in depth. Different chemistries for converting surface silanols to stimuli-responsive bonds are discussed in the context of drug delivery. The critical discussion is culminated by outlining the challenges in identifying silanols' role and overcoming the limitations in synthesizing stimuli-responsive mesoporous silica-based drug delivery systems.