gebhart/patrepeval huggingface dataset:
Dynamic error mitigation in NoCs using intelligent prediction techniques (2016)

Network-on-chips (NoCs) are quickly becoming the standard communication fabric for multi-core systems. As technology continues to scale down into the nanometer regime, device behavior will become increasingly unreliable due to a combination of aging, soft errors, aggressive transistor design, and process-voltage-temperature variations. Further, stringent timing constraints in NoCs are designed so that data can be pushed faster. The net result is an increase in errors which must be mitigated by the NoC. Typical techniques for handling faults are often reactive as they respond to faults after the error has occurred, making the recovery process inefficient in energy and time. In this paper, we take a different approach wherein we propose to use proactive, fault-tolerant schemes to be employed before the fault affects the system. We propose to utilize machine learning techniques to train a decision tree which can be used to predict faults efficiently in the network. Based on the prediction model, we dynamically mitigate these predicted faults through error correction codes (ECC) and relaxed timing transmission. Our results indicate that, on average, we can accurately predict timing errors 60.6% better than a static single error correction and double error detection (SECDED) technique resulting in an average 26.8% reduction in retransmitted packets, a average net speedup of 3.31 x, and an average energy savings of 60.0% over other designs for real traffic patterns.
RNA Polymerase II Activity of Type 3 Pol III Promoters (2018)

In eukaryotes, three RNA polymerases (Pol I, II, and III) are responsible for the transcription of distinct subsets of genes. Gene-external type 3 Pol III promoters use defined transcription start and termination sites, and they are, therefore, widely used for small RNA expression, including short hairpin RNAs in RNAi applications and guide RNAs in CRISPR-Cas systems. We report that all three commonly used human Pol III promoters (7SK, U6, and H1) mediate luciferase reporter gene expression, which indicates Pol II activity, but to a different extent (H1 ≫ U6 > 7SK). We demonstrate that these promoters can recruit Pol II for transcribing extended messenger transcripts. Intriguingly, selective inhibition of Pol II stimulates the Pol III activity and vice versa, suggesting that two polymerase complexes compete for promoter usage. Pol II initiates transcription at the regular Pol III start site on the 7SK and U6 promoters, but Pol II transcription on the most active H1 promoter starts 8 nt upstream of the Pol III start site. This study provides functional evidence for the close relationship of Pol II and Pol III transcription. These mechanistic insights are important for optimal use of Pol III promoters, and they offer additional flexibility for biotechnology applications of these genetic elements.
A Pull‐in Based Test Mechanism for Device Diagnostic and Process Characterization (2008)

A test technique for capacitive MEMS accelerometers and electrostatic microactuators, based on the measurement of pull‐in voltages and resonance frequency, is described. Using this combination of measurements, one can estimate process‐induced variations in the device layout dimensions as well as deviations from nominal value in material properties, which can be used either for testing or device diagnostics purposes. Measurements performed on fabricated devices confirm that the 250 nm overetch observed on SEM images can be correctly estimated using the proposed technique.
New <i>a</i> -SiC, optically controlled, thyristor-like switch (1992)

A new multilayer a-SiC thin film based switch was succesfully fabricated and studied for the first time. The device has a forward breakover voltage VBF = 140 V and exhibits a reversible decrease of VBF with increasing illumination intensity. The behaviour of this switch is analogous to that of a thyristor.
Penerapan Metode Naive Bayes sebagai Diagnosa Hama Penyakit Tanaman Belimbing (2022)

Bidang pertanian merupakan komoditas penting di Indonesia, khususnya budidaya buah. Buah belimbing merupakan salah satu buah yang memiliki kandungan nutrisi baik bagi kesehatan. Namun seringkali pada proses penanaman hingga panen tiba, banyak kendala yang harus dialami oleh petani salah satunya adalah hama penyakit yang menyerang tanaman belimbing pada masa pertumbuhannya. Untuk mencoba membantu petani dalam mendeteksi hama penyakit ini maka diterapkan Metode Naive Bayes dalam pengambilan keputusannya. Dalam penelitian ini metode telah diimplementasikan pada sebuah sistem dan telah dilakukan ujicoba pada data hama penyakit buah belimbing. Hasil dari uji coba ini didapatkan performansi sistem diagnosa sebesar 96%.
Randomized phase I clinical trial of anti–α‐synuclein antibody BIIB054 (2019)

BIIB054 has favorable safety, tolerability, and pharmacokinetic profiles in volunteers and Parkinson's disease participants, supporting further clinical development. © 2019 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
Application-driven cross-layer optimization for mobile multimedia communication using a common application layer quality metric (2006)

This paper proposes a cross-layer optimization framework that provides efficient allocation of wireless network resources across multiple types of applications to maximize network capacity and user satisfaction. We define a novel optimization scheme based on the Mean Opinion Score (MOS) as the unifying metric. Our experiments, applied to scenarios where users simultaneously run three types of applications, such as realtime voice, video conferencing and file download, confirm that MOS-based optimization leads to significant improvement in terms of user perceived quality when compared to throughput-based optimization.
OPTIMAL SOLVENT CYCLE DESIGN IN SUPERCRITICAL FLUID PROCESSES (2003)

−− −− −− This work addresses the determination of optimal solvent cycle scheme for supercritical fluid processes. The optimization model, which includes reliable thermodynamic predictions and rigorous process models, has been extended to include potential units that constitute the solvent recovery cycle. Capital cost functions, based on graphical correlations from the literature, have been derived for each unit in the superstructure. A mixed integer nonlinear programming model has been formulated, where the objective function is net profit maximization. Process and solvent cycle design has been performed for the deterpenation of lemon peel oil.
How Recent is a Web Document? (2006)

One of the most important aspects of a Web document is its up-to-dateness or recency. Up-to-dateness is particularly relevant to Web documents because they usually contain content origining from different sources and being refreshed at different dates. Whether a Web document is relevant for a reader depends on the history of its contents and so-called external factors, i.e., the up-to-dateness of semantically related documents. In this paper, we approach automatic management of up-to-dateness of Web documents that are managed by an XML-centric Web content management system. First, the freshness for a single document is computed, taking into account its change history. A document metric estimates the distance between different versions of a document. Second, up-to-dateness of a document is determined based on its own history and the historical evolutions of semantically related documents.
Syntheses and Structures of Group 14 1,3-Dimetallacyclobutanes (2003)

Metalation of 2,6-lutidine-functionalized bis(phosphoranimines) (Me3SiNPPri2CH2)2C5H3N-2,6 (2) using MgBu2 in THF yielded the magnesium compound [Mg{(Me3SiNPPri2CH)2C5H3N-2,6}THF] (3). Further reaction of 3 with 1 equiv of SnCl2 afforded the tin(II) compound [{2-{Sn{C(Pri2PNSiMe3)}}-6-{Sn{CH(Pri2PNSiMe3)}Cl}}C5H3N]2 (4). Treatment of 2 with 2 equiv of Pb{N(SiMe3)2}2 afforded the lead(II) compound [{2-{Pb{C(Pri2PNSiMe3)}}-6-{Pb{CH(Pri2PNSiMe3)}N(SiMe3)2}}C5H3N]2 (5). X-ray structural analysis revealed that 4 and 5 consist of a 1,3-dimetallacyclobutane and two metal(II) alkyl moieties. Similar reaction of 3 with 1 equiv of GeCl2(dioxane), however, yielded the germanium(II) compound (6) without forming a similar 1,3-digermacyclobutane ring.
Magneto-optical recording (2001)

Basic physics and current technologies of magneto-optical recording are reviewed. The development owes much to the discovery of amorphous rare earth-transition metal (RE-TM) films, which exhibit quite uniform magnetic and optical properties in the scale of practical interest. The RE-TM films also exhibit a wide variety of thermomagnetic properties on adjusting their composition, which resulted in the recent development of high-density recording using multilayer films. In amorphous RE-TM films it is possible to record thermomagnetically marks some several tens of nanometres in size. In order to readout such small recorded marks, further development of new readout techniques is necessary.
Voltage and Frequency Grid Support Strategies Beyond Standards (2016)

In recent years, with a higher penetration of renewable distributed generators into the ac grid network, the risk of grid instabilities and vulnerabilities has increased. This paper proposes grid support strategies that can be used to alleviate the grid frequency-voltage variations, which are indicators of the imbalance between power generation and consumption within an ac network. The proposed strategies to support grid stability in the event of frequency-voltage variation go beyond recent standards and provide extended functionalities. The preconfigured set points of active power-frequency P(f) strategy features the control of the converter's power flow direction with an adjustable power gradient transition between grid-feeding and force charge as grid loading, in response to grid frequency deviation. The distributed power generators are represented by an energy storage converter, with the capacity to discharge and charge the electrical energy storage (EES) element, primarily for grid support purposes. The EES energy storage is configured for later usage when the grid requires active power support, under line frequency deviation, used under normal conditions, or during on-peak tariff high-demand daytime hours (energy shifting for TOU, ac load shave). In addition to grid support enhancement, the P(f) strategy is combined with reactive power-voltage Q(v ) control to attempt to correct frequency and voltage deviations in a collective impact of distributed generators operation for grid stabilization purposes. The P(f) - Q (v) strategy provides an automatic active/reactive power generate/receive preconfigured control, in response to frequency-voltage deviations, in order to support the grid and prevent network instabilities. The proposed control strategy for local frequency assist and voltage assist is applicable for single and three-phase grid converters interfaced with energy storage systems. Simulations and experimental results, obtained using a single-phase 6 kVA four-quadrant EES converter, are presented to validate the proposed P( f) and Q(v) grid support strategies.
HARE: hardware accelerator for regular expressions (2016)

Rapidly processing text data is critical for many technical and business applications. Traditional software-based tools for processing large text corpora use memory bandwidth inefficiently due to software overheads and thus fall far short of peak scan rates possible on modern memory systems. Prior hardware designs generally target I/O rather than memory bandwidth. In this paper, we present HARE, a hardware accelerator for matching regular expressions against large in-memory logs. HARE comprises a stall-free hardware pipeline that scans input data at a fixed rate, examining multiple characters from a single input stream in parallel in a single accelerator clock cycle. We describe a 1GHz 32-character-wide HARE design targeting ASIC implementation that processes data at 32 GB/s — matching modern memory bandwidths. This ASIC design outperforms software solutions by as much as two orders of magnitude. We further demonstrate a scaled-down FPGA proof-of-concept that operates at 100MHz with 4-wide parallelism (400 MB/s). Even at this reduced rate, the prototype outperforms grep by 1.5–20x on commonly used regular expressions.
Phytochemical and pharmacological potential of<i>Medicago sativa</i>: A review (2010)

M. sativa seems to hold great potential for in-depth investigation for various biological activities, especially their effects on central nervous and cardiovascular system. Through this review, the authors hope to attract the attention of natural product researchers throughout the world to focus on the unexplored potential of M. sativa, and it may be useful in developing new formulations with more therapeutic value.
Destabilizing Domains Enable Long-Term and Inert Regulation of GDNF Expression in the Brain (2018)

Regulation of therapeutic transgene expression can increase the safety of gene therapy interventions, especially when targeting critical organs such as the brain. Although several gene expression systems have been described, none of the current systems has the required safety profile for clinical applications. Our group has previously adapted a system for novel gene regulation based on the destabilizing domain degron technology to successfully regulate glial cell-line derived neurotrophic factor in the brain (GDNF-F-DD). In the present study, we used GDNF-F-DD as a proof-of-principle molecule to fully characterize DD regulation in the brain. Our results indicate that DD could be regulated in a dose-dependent manner. In addition, GDNF-F-DD could also be induced <i>in vivo</i> repeatedly, without loss of activity or efficacy <i>in vivo</i>. Finally, DD regulation was able to be sustained for 24 weeks without loss of expression or any overt toxicity. The present study shows that DD has great potential to regulate gene expression in the brain.
Defining the Role of the Lower Limbs in Compensating for Sagittal Malalignment (2017)

3.
The Length Distribution and Multiple Specificity of Naturally Presented HLA-I Ligands (2018)

HLA-I molecules bind short peptides and present them for recognition by CD8<sup>+</sup> T cells. The length of HLA-I ligands typically ranges from 8 to 12 aa, but variability is observed across different HLA-I alleles. In this study we collected recent in-depth HLA peptidomics data, including 12 newly generated HLA peptidomes (31,896 unique peptides) from human meningioma samples, to analyze the peptide length distribution and multiple specificity across 84 different HLA-I alleles. We observed a clear clustering of HLA-I alleles with distinct peptide length distributions, which enabled us to study the structural basis of peptide length distributions and predict peptide length distributions from HLA-I sequences. We further identified multiple specificity in several HLA-I molecules and validated these observations with binding assays. Explicitly modeling peptide length distribution and multiple specificity improved predictions of naturally presented HLA-I ligands, as demonstrated in an independent benchmarking based on the new human meningioma samples.
Shear induced alignment of short nanofibers in 3D printed polymer composites (2016)

3D printing of composite materials offers an opportunity to combine the desired properties of composite materials with the flexibility of additive manufacturing in geometric shape and complexity. In this paper, the shear-induced alignment of aluminum oxide nanowires during stereolithography printing was utilized to fabricate a nanowire reinforced polymer composite. To align the fibers, a lateral oscillation mechanism was implemented and combined with wall pattern printing technique to generate shear flow in both vertical and horizontal directions. A series of specimens were fabricated for testing the composite material's tensile strength. The results showed that mechanical properties of the composite were improved by reinforcement of nanofibers through shear induced alignment. The improvement of tensile strength was approximately ∼28% by aligning the nanowires at 5 wt% (∼1.5% volume fraction) loading of aluminum oxide nanowires.
[Efficacy of topical use of 0.2% glyceryl trinitrate in reducing post-haemorrhoidectomy pain and improving wound healing]. (2005)

The aim of the study was to evaluate whether topical application of 0.2% glyceryl trinitrate ointment could reduce post-haemorrhoidectomy healing time and pain both at rest and during defecation. Thirty patients with grade III and IV haemorrhoids were included in the study and divided into two groups. All patients underwent Milligan-Morgan haemorrhoidectomy, and anorectal manometry was performed before surgery and after 5 and 30 days. In one group a placebo ointment was applied to the perianal wounds, while in the other group a 0.2% glyceryl trinitrate ointment was used. Maximum resting pressure was reduced in the glyceryl trinitrate group and increased in the placebo group after 5 days. Postoperative pain both at rest and during defecation, and the time to healing and return to normal activity were significantly reduced in the glyceryl trinitrate group, whilst analgesic consumption was similar. An elevated incidence of headache was observed In the glyceryl trinitrate group. Topical application of glyceryl trinitrate was effective in reducing postoperative pain and healing time, but the substantial incidence of side effects may limit its extensive use.
Adaptive control of nonlinear MIMO systems with transport delay: conventional, rule based or neural? (2002)

We discuss the problem of control of zero order MIMO nonlinear systems with transport delay. This problem appears in numerous manufacturing control applications that are characterized with slow dynamics which can be ignored with respect to the sampling rate. We propose three alternative indirect adaptive control algorithms: 1) a conventional application of adaptive control based on a linearized model combining the Kalman filter estimation of a linearized (Jacobian) model with constrained optimization; 2) an intelligent control derived from conventional adaptive control with a linearized model (the first approach) that is integrated with a fuzzy rule-base; and 3) a neural net model (multilayer perceptron) online learning approach. Control updates are calculated by applying a constrained optimization algorithm. All three algorithms are compared and evaluated through simulation of a nonlinear plant with significant transport delay.
Recent Trends in Mortality Analysis. (1985)

In this book [the authors] present a series of demographic models designed to investigate the effects of morbidity and mortality processes on human populations. The models are designed to be biologically realistic and to be consistent with both macro- and micro-level changes. An overview of trends in mortality analysis is first presented and the quality of available data is assessed with a geographic focus on the United States. Next empirical methods for examining the information content of multiple-cause mortality data are considered and a conceptual framework for mortality analysis is developed. A chapter is included on life table methods for the analysis of underlying and multiple-cause mortality data. The use of life tables with heterogeneous populations is also considered with examples involving cohort versus period life table computations and the black-white mortality crossover. Chapters are also included on ecological models of cause-specific mortality differentials and on projections and estimates of the national state of health using disease-specific compartment models of mortality time series. (EXCERPT)
A proposed pulses current method to extract the batteries parameters (2017)

A battery test that predicts the electrical performance with high accuracy is vital for circuit design. The purpose is to control its runtime and insure safety in battery-based electrical system such as Electric Vehicles (EVs). The nonlinear behavior of batteries depends on many internal and external factors such as temperature, chemistry, load current profile, age, etc. Modeling the behaviors of the battery can be achieved using various approaches. The more accurate battery model is the more predictable results. In this paper, we proposed current profile to extract and characterize the battery's parameters, the methodology used to develop the current pulse profile is simple, clearly explained and can be adapted or implemented to various types of battery's cells. Results show that this current pulse characterization can be employed to foresee the battery's resistance and open-circuit voltage by considering the environmental temperatures effect. In total, this intelligible current pulse profile can be used for predicting the battery's parameters with high accuracy, especially for variable current load profile which is the most reliable case for vehicular applications.
Aerial Video Images Registration Based on Optimal Derivative Filters with Scene-Adaptive Corners (2011)

In many registration problems of an aerial video images, computational complexity and precision is of critical importance. In this paper an new aerial video images registration algorithm based on optimal derivative filters with Scene-Adaptive Corners is proposed. Firstly, the Harris detector based on optimal derivative filters is presented and scene-adaptation is used to control the number of feature points, Then through comparing the euclidean distance of the SURF(speed up robust feature) descriptors defined on the corner neighborhoods, the corresponding matches are established. Lastly, the transformation parameters are estimated using the invariant of five coplanar points, then the most "useful" matching points are used to register the frames. Experiment results illustrate that the proposed algorithm carries out accurate image registration and is robust to large image translation, scaling and rotation.
Systematic Review of High Probability Requests in K-12 Settings: Examining the Evidence Base (2018)

We conducted this systematic review to classify the evidence-base status for high-probability request sequence (HPRS) as a strategy to improve students’ behavioral outcomes in general and special education settings across the K-12 continuum. Specifically, the purpose of this review was to determine whether HPRS could be classified as an evidence-based practice according to Council for Exceptional Children’s Standards for Evidence-Based Practices in Special Education employing a modified, weighted coding scheme specifying methodologically sound studies as meeting 80% or more of components across quality indicators (QIs). Two of the 22 included studies met all QIs, and 16 studies met or exceeded our 80% weighted criterion. Based on this body of evidence, we classified HPRS in K-12 school settings as potentially evidence based . We offer a discussion of educational implications, limitations, and future directions.
XoxF Is Required for Expression of Methanol Dehydrogenase in Methylobacterium extorquens AM1 (2011)

In Gram-negative methylotrophic bacteria, the first step in methylotrophic growth is the oxidation of methanol to formaldehyde in the periplasm by methanol dehydrogenase. In most organisms studied to date, this enzyme consists of the MxaF and MxaI proteins, which make up the large and small subunits of this heterotetrameric enzyme. The Methylobacterium extorquens AM1 genome contains two homologs of MxaF, XoxF1 and XoxF2, which are ∼50% identical to MxaF and ∼90% identical to each other. It was previously reported that xoxF is not required for methanol growth in M. extorquens AM1, but here we show that when both xoxF homologs are absent, strains are unable to grow in methanol medium and lack methanol dehydrogenase activity. We demonstrate that these defects result from the loss of gene expression from the mxa promoter and suggest that XoxF is part of a complex regulatory cascade involving the 2-component systems MxcQE and MxbDM, which are required for the expression of the methanol dehydrogenase genes.