gebhart/patrepeval huggingface dataset:
Low-power adder design techniques for noise-tolerant applications (2011)

In the nanometer era, there is a critical need for low power design. In this paper we employ voltage scaling in a new sophisticated manner to reduce the power consumption of a particular circuit targeted for noise-tolerant applications. We show that we can save up to 40 times in power consumption in the case of applications that can tolerate long delays. On the other hand, we investigate how far we can reduce the power consumption of a circuit without affecting its speed of operation. Our results show 58% and 168% reduction in the power consumption when using multi supply voltages, with the drawback of having some errors in the major reduction technique (168%) which could be suitable for applications that can tolerate some loss of accuracy such as the case in stochastic processing. For such applications, we also show that we can even go further into power savings by eliminating altogether the least significant part of our circuit and hence accepting errors for an additional savings of 41% over the savings in the previous methods.
Very low amounts of glucose cause repression of the stress-responsive gene HSP12 in Saccharomyces cerevisiae (2000)

Changing the growth mode of Saccharomyces cerevisiae by adding fermentable amounts of glucose to cells growing on a non-fermentable carbon source leads to rapid repression of general stress-responsive genes like HSP12. Remarkably, glucose repression of HSP12 appeared to occur even at very low glucose concentrations, down to 0.005%. Although these low levels of glucose do not induce fermentative growth, they do act as a growth signal, since upon addition of glucose to a concentration of 0.02%, growth rate increased and ribosomal protein gene transcription was up-regulated. In an attempt to elucidate how this type of glucose signalling may operate, several signalling mutants were examined. Consistent with the low amounts of glucose that elicit HSP12 repression, neither the main glucose-repression pathway nor cAMP-dependent activation of protein kinase A appeared to play a role in this regulation. Using mutants involved in glucose metabolism, evidence was obtained suggesting that glucose 6-phosphate serves as a signalling molecule. To identify the target for glucose repression on the promoter of the HSP12 gene, a promoter deletion series was used. The major transcription factors governing (stress-induced) transcriptional activation of HSP12 are Msn2p and Msn4p, binding to the general stress-responsive promoter elements (STREs). Surprisingly, glucose repression of HSP12 appeared to be independent of Msn2/4p: HSP12 transcription in glycerol-grown cells was unaffected in a deltamsn2deltamsn4 strain. Nevertheless, evidence was obtained that STRE-mediated transcription is the target of repression by low amounts of glucose. These data suggest that an as yet unidentified factor is involved in STRE-mediated transcriptional regulation of HSP12.
Stability of plasma analytes after delayed separation of whole blood: implications for epidemiological studies (2003)

A wide range of important analytes, including lipids, change by only a few per cent in whole blood during storage at room temperature for several days. Mailed transport of whole blood samples may, therefore, be a simple and cost-effective option for large-scale epidemiological studies.
Design and performance of electrical propulsion system of extended range electric vehicle (EREV) Chevrolet Voltec (2012)

This paper presents the design and performance details of the Chevrolet Voltec electric propulsion system. The propulsion system has two machines, one machine is operating mostly as a motor while the other machine is operating mostly as a generator. Both machines of the Voltec electric drive system are permanent magnet AC synchronous machine types with the magnets buried inside the rotor. The motor has distributed windings. However, as opposed to a conventional stranded winding the Chevrolet Volt motor has bar-wound construction to improve the motor performance, especially in the low to medium speed range. At higher speed the skin and proximity effects in the stator bars lead to increased stator winding losses but are addressed in the design. The bar-wound construction also has excellent thermal performance, in both the steady-state and the transient conditions, necessary for full EV driving. The generator uses concentrated windings. The concentrated winding construction has good slot fill and short end-turn length. These features resulted in good performance in the intended operational region and were an enabler for machine packaging inside the transmission. Both the machines exhibit excellent efficiency and exceptionally smooth and quiet operation. Machine design and construction details as well as the measured thermal, electromagnetic and acoustic noise performances are presented in the paper.
Cloning, Purification and Characterization of the Protein Subunit of Ribonuclease P from the Cyanobacterium <i>Synechocystis</i> sp. PCC 6803 (1996)

The rnpA gene from the cyanobacterium Synechocystis sp. PCC 6803, which codes for the protein subunit of ribonuclease P (RNase P), has been cloned by functional complementation of an Escherichia coli mutant. This protein had previously been characterized only in proteobacteria and gram-positive bacteria. rnpA and the closely linked rpmH gene, which code for the large subunit ribosomal protein L34, have been sequenced. The Synechocystis 6803 L34 protein is more similar to the homologous protein from some non-green chloroplasts than to the L34 protein from other bacteria. The protein subunit of RNase P from Synechocystis 6803 has been overexpressed in E. coli and purified to homogeneity. Antibodies raised against the Synechocystis 6803 RNase P protein did not recognize the homologous protein from E. coli (C5 protein). Similarly, antibodies raised against the E. coli C5 protein did not recognize significantly the Synechocystis 6803 protein. In spite of the lack of immunological cross-reactivity and the low level of sequence identity, the E. coli and Synechocystis 6803 proteins are functionally interchangeable. In enzymatic assays using either an E. coli precursor tRNA(Tyr) or a Synechocystis 6803 precursor tRNA(Gln) as substrates, we have detected RNase P activity with holoenzymes reconstituted with the RNA subunit from E. coli and the protein subunit from Synechocystis 6803 or with the RNA subunit from Synechocystis 6803 and the protein subunit from E. coli. The relative efficiency of cleavage of the different substrates is dependent on the origin of the protein subunit used to reconstitute the holoenzyme.
An Unexpected Hepatocellular Carcinoma arising From an Unknown Nonalcoholic Fatty liver (2016)

Development of Hepatocellular Carcinoma in the context of Non-Alcoholic Fatty \nLiver Disease is an issue of serious concern in a landscape where NAFLD has rapidly \nbecome a major condition of liver illness. NAFLD is often misdiagnosed, as these \npatients are asymptomatic and their laboratory tests are within normal range. We \nhereby present the case of a 34-year old woman who came to our attention for severe \nanemia in a known history of genitourinary tract bleeding. Performing an ultrasound \nscan as a first-line exam it was discovered a large abdominal mass, at first described \nas a uterine neoformation. Only an MRI allowed to determine the hepatic nature of \nthe mass and, after the resection, the histopathologic analysis confirmed the diagnosis \nof highly differentiated hepatocellular carcinoma arising in the context of marked \nsteatosis.
Experimental mechanical destruction of pollen grains (1991)

Abstract Two simple experiments show that mechanical pollen damage is not caused by pollen‐clast collisions during transport, but that wet‐dry cycles may be very effective at degrading pollen. These experiments suggest that horizons of damaged pollen in subaqueous sediment more likely result from redeposition of pollen previously exposed to subaerial weathering, rather than from damage incurred during transport.
TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning (2016)

The growth of robot-assisted minimally invasive surgery has led to sizable datasets of fixed-camera video and kinematic recordings of surgical subtasks. Segmentation of these trajectories into locally-similar contiguous sections can facilitate learning from demonstrations, skill assessment, and salvaging good segments from otherwise inconsistent demonstrations. Manual, or supervised, segmentation can be prone to error and impractical for large datasets. We present Transition State Clustering with Deep Learning (TSC-DL), a new unsupervised algorithm that leverages video and kinematic data for task-level segmentation, and finds regions of the visual feature space that correlate with transition events using features constructed from layers of pre-trained image classification Deep Convolutional Neural Networks (CNNs). We report results on three datasets comparing Deep Learning architectures (AlexNet and VGG), choice of convolutional layer, dimensionality reduction techniques, visual encoding, and the use of Scale Invariant Feature Transforms (SIFT). We find that the deep architectures extract features that result in up-to a 30.4% improvement in Silhouette Score (a measure of cluster tightness) over the traditional “shallow” features from SIFT. We also present cases where TSC-DL discovers human annotator omissions. Supplementary material, data and code is available at: http://berkeleyautomation.github.io/tsc-dl/.
Training Pediatricians to Adhere to Asthma Guidelines (2013)

Despite the proven efficacy of the National Heart, Lung, and Blood Institute asthma guidelines, adherence to these recommendations is suboptimal among primary care physicians. Knowledge, skills, and attitudes among pediatricians influence adherence to the asthma guidelines. Workshop-based provider education interventions demonstrate short-term improvement in knowledge, but do not lead to long-term changes in patient outcomes. Comprehensive quality improvement interventions that integrate education and process changes yield the best results in improving asthma care in children.
WILLS, TRUSTS, AND ADMINISTRATION OF ESTATES Estates: Establish Additional Means by Which Children Born Out of Wedlock May Inherit (1992)

The Act codifies the doctrine of virtual or equitable legitimation as interpreted by Georgia case law. The Act also adds genetic testing as a means by which the paternity of children born out of wedlock may be established.
Analysis on the Students with Intellectual Disabilities and Their Parents' Experience about the College and the Lectures: Focus Group Interview (2021)

본 연구의 목적은 장애학생의 통합교육과 고등직업교육으로 특화된 A전문대학에서 지적장애학생과 그 학부모가 겪은 대학생활과 수업경험을 분석하는 것이다. 이를 위해 A전문대학의 지적장애학생 4명과 그 학부모 4명을 대상으로 초점집단면담을 실시하였다. 초점집단면담의 내용을 지속적 비교분석법으로 분석하여 2개 범주, 4개 주제, 14개의 하위주제를 도출하였고, 그 결과는 다음과 같다. 첫째, 대학범주에서 “대학선택의 이유”와 “대학생활”의 주제를 도출하였다. “대학선택의 이유”의 하위주제는 “현실적인 문제, 취업”, “지적장애학생, 당사자의 희망”, “학령기와는 다른 새로운 세상의 경험”, “통합교육을 통한 관찰학습의 기회 제공”이 도출되었고, “대학생활”의 하위주제는 “어려운 수업, 그러나 열의를 가지고 참여”, “달라지는 모습, 능동적 대학생”, “대학의 또 다른 즐거움 친구들”, “대학 적응에 중요한 사람, 친절한 교수”, “대학 적응에 숨은 조력자, 학부모”가 도출되었다. 둘째, 수업범주에서 “비대면수업”과 “수업에서의 어려움과 지원요구”의 주제를 도출하였다. “비대면수업”의 하위주제는 “비대면수업에 대한 만족과 그 이유”, “예체능계열의 학부모 등은 대면수업 희망”이 도출되었고, “수업에서의 어려움과 지원요구”의 하위주제는 “학사관리와 학습의 어려움으로 학습코칭 요구”, “학점 이수를 위한 학사제도 요구”, “수업 중 도전적 행동에 대한 지원 요구”가 도출되었다. 따라서, 지적장애학생 및 그 학부모는 지적장애학생의 취업 및 경험, 당사자의 희망 등의 이유로 전문대학을 선택하고, 지적장애학생은 전문대학의 인적 자원의 지원을 받아서 전문대학에 적응하고 있는 것으로 나타났다. 다만, 지적장애학생은 학사관리, 수업 및 학점 이수에서 어려움을 경험하고 있기 때문에 학습코칭, 학점이수를 위한 부가적인 학사제도, 인적 자원 등의 추가적인 지원을 고려할 필요가 있다.
Epidemiology of nosocomial Clostridium difficile infection. (1993)

C. difficile is a frequent cause of nosocomial diarrhea and is associated with substantial morbidity. C. difficile carriage may arise either from overgrowth of endogenous organisms or from exogenous acquisition. Within hospitals, asymptomatically colonized patients typically outnumber symptomatic patients by a ratio of approximately 3:1. Patient-to-patient transmission of C. difficile has been well documented in studies of nosocomial outbreaks, utilizing typing methods to supplement epidemiologic investigations. The mechanisms and frequency of transmission probably vary between institutions, but contamination of environmental surfaces and personnel hand carriage both appear to be important. Nosocomial C. difficile infection can be remarkably difficult to control, particularly after it becomes endemic in an institution. Policies targeting both environmental contamination and personnel hand-washing/glove use practices may be most successful. Prophylaxis of C. difficile diarrhea in high-risk patients on antibiotics may also have merit if an effective and safe biologic agent can be identified. Asymptomatically colonized patients should not be treated because they are at low risk for the development of diarrhea and because further antibiotic treatment may prolong the carrier state.
Clinical Practice (1990)

Linda Williams, BSN, RN, is Nursing Supervisor at the Center for Plastic and Reconstructive Surgery, Orlando, FL. Calvin R. Peters, MD, is President of the Center for Plastic and Reconstructive Surgery, Orlando, FL, and Associate Clinical Professor of Surgery at the University of Florida and the University of South Florida.
A probabilistic framework for automatic term recognition (2009)

Term recognition identifies domain-relevant terms which are essential for discovering domain concepts and for the construction of terminologies required by a wide range of natural language applications. Many techniques have been developed in an attem
miRNA target prediction might explain the reduced transmission of SARS-CoV-2 in Jordan, Middle East (2020)

MicroRNAs (miRNAs) are non-coding RNAs that control many functions within the human cells by controlling protein levels through binding to messenger RNA (mRNA) translation process or mRNA abundance. Many pieces of evidence show that miRNAs affect the viral RNA replication and pathogenesis through direct binding to the RNA virus to mediate changes in the host transcriptome. Many previous studies have been studying the interaction between human cells' miRNA and viral RNA to predict many targets along the viral genome. In this work, via the miRDB database, we determined the target scores of predicted human miRNA to bind with the ss-RNA of the severe acute respiratory syndrome coronavirus (SARS-CoV-2) in general and its spike gene in specific. Our predicted miRNA targets of the ss-RNA of SARS-CoV-2 might destabilize the ss-RNA translation of SARS-CoV-2 that has been established by more than 80% of asymptomatic infected cases in Jordan due to host miRNA interactions. In respiratory epithelial cells, the high prediction scoring for miRNAs covers the RNA from 5' to 3' that explains successful antiviral defenses against ss-RNA of SARS-CoV-2 and might lead to new nucleotide deletion mechanisms. The exciting findings here that the nucleotide substitution 1841A > G at the viral genomic RNA level, which is an amino acid substation D614G at the spike protein level showed a change in the predicted miRNA sequence from hsa-miR-4793-5p to hsa-miR-3620-3p with an increase in the target score from 91 to 92.
Unsupervised Building Instance Segmentation of Airborne LiDAR Point Clouds for Parallel Reconstruction Analysis (2021)

Efficient building instance segmentation is necessary for many applications such as parallel reconstruction, management and analysis. However, most of the existing instance segmentation methods still suffer from low completeness, low correctness and low quality for building instance segmentation, which are especially obvious for complex building scenes. This paper proposes a novel unsupervised building instance segmentation (UBIS) method of airborne Light Detection and Ranging (LiDAR) point clouds for parallel reconstruction analysis, which combines a clustering algorithm and a novel model consistency evaluation method. The proposed method first divides building point clouds into building instances by the improved kd tree 2D shared nearest neighbor clustering algorithm (Ikd-2DSNN). Then, the geometric feature of the building instance is obtained using the model consistency evaluation method, which is used to determine whether the building instance is a single building instance or a multi-building instance. Finally, for multiple building instances, the improved kd tree 3D shared nearest neighbor clustering algorithm (Ikd-3DSNN) is used to divide multi-building instances again to improve the accuracy of building instance segmentation. Our experimental results demonstrate that the proposed UBIS method obtained good performances for various buildings in different scenes such as high-rise building, podium buildings and a residential area with detached houses. A comparative analysis confirms that the proposed UBIS method performed better than state-of-the-art methods.
Visual outcome, optical quality, and patient satisfaction with a new monofocal IOL, enhanced for intermediate vision: preliminary results (2020)

In patients without ocular comorbidities, the Eyhance ICB00 IOL provided better UIVA and higher intermediate spectacle independence without impairment of far vision and visual quality, compared with the ZCB00 IOL.
How does control timing affect performance? Analysis and simulation of timing using Jitterbug and TrueTime (2003)

To achieve good performance in systems with limited computer resources, the constraints of the implementation platform must be taken into account at design time. To facilitate this, software tools are needed to analyze and simulate how timing affects control performance. This article describes two such tools: Jitterbug and TrueTime.
Land-Use Change Detection with Convolutional Neural Network Methods (2019)

Convolutional neural networks (CNN) have been used increasingly in several land-use classification tasks, but there is a need to further investigate its potential. This study aims to evaluate the performance of CNN methods for land classification and to identify land-use (LU) change. Eight transferred CNN-based models were fully evaluated on remote sensing data for LU scene classification using three pre-trained CNN models AlexNet, GoogLeNet, and VGGNet. The classification accuracy of all the models ranges from 95% to 98% with the best-performed method the transferred CNN model combined with support vector machine (SVM) as feature classifier (CNN-SVM). The transferred CNN-SVM model was then applied to orthophotos of the northeastern Cloverdale as part of the City of Surrey, Canada from 2004 to 2017 to perform LU classification and LU change analysis. Two sources of datasets were used to train the CNN–SVM model to solve a practical issue with the limited data. The obtained results indicated that residential areas were expanding by creating higher density, while green areas and low-density residential areas were decreasing over the years, which accurately indicates the trend of LU change in the community of Cloverdale study area.
Switchable broadband achromatic half-wave plate with nematic liquid crystals (2004)

We describe a broadband achromatic half-wave retarder for normally incident light of arbitrary polarization. The device consists of a stack of one nematic liquid-crystal cell with uniform alignment sandwiched between two twisted nematic layers that have identical twist angles (135 degrees) but different orientations of their surface alignment. As a specific application, for light with linear polarization at 45 degrees to the optic axis of the homogeneous cell the stack functions efficiently as an optical switch. The switch rotates the incident linear polarization by 90 degrees in the absence of an electric field. When sufficiently high voltage is applied to all three layers, the device produces a near-zero effect on the incident polarization. An achromatic response in the spectral range 400-700 nm is achieved for both activated and quiescent states.
WI-FI ENERGY HARVESTER FOR LOW POWER RFID APPLICATION (2013)

In recent years, active Radio Frequency Identiflcation (RFID) tags have crossed into ultra low power domain. With obvious advantages over passive tags, a setback for active tag growth is the need for battery replacement and limited operational life. Battery life could be extended by scavenging surrounding Wi-Fi signals using rectenna architecture which consists of a receiving antenna attached to a rectifying circuit. A seven stage Cockroft-Walton voltage multiplier optimized for low input power (below 0dBm) is proposed. Prototype was fabricated on RT/Duroid 5880 (RO5880) printed circuit board (PCB) substrate with dielectric constant and loss tangent of 2.2 and 0.0009 respectively. Experimental results show that 2V output voltage can be harvested from an operating frequency of 2.48GHz with i9dBm (0.13mW) sensitivity with 1.57mm board thickness.
The high resolution solution structure of the insulin monomer determined by NMR. (1995)

Studies of naturally occurring and chemically modified insulins indicate that relatively few of the 51 amino acid residues may be assigned specific roles in insulin-receptor interactions. Most of the insulin X-ray structural information is derived from aggregated species (notably hexamers). Because insulin exerts its physiological effect as a 5808 Dalton monomeric species, it is necessary to consider whether crystal-packing forces have modified the structure from that required for biological action. Insulin aggregation in solution complicates high resolution NMR studies of the monomer. However, site-directed mutagenesis can be used to generate biologically active mutants (e.g., B16-Tyr--> His) that remain monomeric at millimolar concentrations in aqueous solution at low pH. The resulting homogeneous and monomeric samples are suitable for structure determination by NMR methods. The high resolution solution structure of B16--Tyr--> His insulin resembles crystal structures, notably molecule 1 of T6 insulin. Side-chain conformation in some biologically important motifs, however, shows subtle differences between solution and crystal structures.
Chemical and Biological Mechanisms of Pathogen Reduction Technologies (2014)

Within the last decade new technologies have been developed and implemented which employ light, often in the presence of a photosensitizer, to inactivate pathogens that reside in human blood products for the purpose of transfusion. These pathogen reduction technologies attempt to find the proper balance between pathogen kill and cell quality. Each system utilizes various chemistries that not only impact which pathogens they can inactivate and how, but also how the treatments affect the plasma and cellular proteins and to what degree. This paper aims to present the various chemical mechanisms for pathogen reduction in transfusion medicine that are currently practiced or in development.
Phloretin-induced changes in ion transport across lipid bilayer membranes. (1977)

Phloretin, the aglucone derivative of phlorizin, increases cation conductance and decreases anion conductance in lipid bilayer membranes. In this paper we present evidence that phloretin acts almost exclusively by altering the permeability of the membrane interior and not by modifying the partition of the permanent species between the membrane and the bulk aqueous phases. We base our conclusion on an analysis of the current responses to a senylborate, and the cation complex, peptide PV-K+. These results are consistent with the hypothesis that phloretin decreases the intrinsic positive internal membrane potential but does not modify to a great extent the potential energy minima at the membrane interfaces. Phloretin increases the conductance for the nonactin-K+ complex, but above 10(-5) M the steady-state nonactin-K+ voltage-current curve changes from superlinear to sublinear. These results imply that, above 10(-5) M phloretin, the nonactin-5+ transport across the membrane becomes interfacially limited.