gebhart/patrepeval huggingface dataset:
Fluid discrimination study from Fluid Elastic Impedance (FEI) (2009)

We propose a method, named Fluid elastic impedance (FEI) which is derived by the extending the concept of Elastic Impedance (Connolly, 1999) to make the fluid discrimination more stable and reliable. The fluid component of the in‐situ reservoir rock here is proposed based on the poroelasticity theory of Boit and Gassmann, and rock physics analysis and forward modeling result based on the well‐logging measurement indicate that the fluid component (f) is an effective tool for fluid discrimination. Our study shows that the FEI inversion can extract the fluid component more valuable and easier to carry out research on the fluid discrimination. A real data example illustrates the applicability of the proposed method.
The Impact of Every Classroom, Every Day on High School Student Achievement: Results From a School-Randomized Trial (2015)

Every Classroom, Every Day (ECED) is a set of instructional improvement interventions designed to increase student achievement in math and English/language arts (ELA). ECED includes three primary components: (a) systematic classroom observations by school leaders, (b) intensive professional development and support for math teachers and instructional leaders to reorganize math instruction, assessment, and grading around mastery of benchmarks, and (c) a structured literacy curriculum that supplements traditional English courses, with accompanying professional development and support for teachers surrounding its use. The present study is a two-year trial, conducted by independent researchers, which employed a school-randomized design and included 20 high schools (10 treatment; 10 control) in five districts in four states. The students were ethnically diverse and most were eligible for free or reduced-price lunch. Results provided evidence that ECED improved scores on standardized tests of math achievement, but not standardized tests of ELA achievement. Findings are discussed in terms of differences between math and ELA and of implications for future large-scale school-randomized trials.
Primary avian tendon cells in culture. An improved system for understanding malignant transformation. (1978)

Primary avian tendon (PAT) cells which maintain their differentiated state in culture are rapidly transformed by Rous sarcoma virus. By criteria of morphology, increased rate of 2-deoxyglucose uptake, and loss of density dependent growth control, PAT cells transform as well as their less differentiated counterpart, chick embryo fibroblasts. In addition, the percentage of collagen produced by PAT cells drops on transformation by an order of magnitude, from 23 to 2.5%, but is unaffected by viral replication of a transformation-defective mutant. The responsiveness of normal and transformed PAT cells to various environmental factors changes dramatically upon transformation. Normal PAT cells respond to the presence of ascorbate and high cell density by raising the level of collagen synthesis from 5 to 23%. Transformed PAT cells are totally unresponsive. These and previously reported results lead us to postulate that the break-down in the normal regulatory mechanisms used by the cell to maintain the differentiated state is related to or is responsible for the onset of malignant transformation.
A uniform theory of diffraction formulation for acoustic radiation modes (2019)

Acoustic radiation modes have recently regained the attention of the literature, with applications ranging from active structural acoustic control to acoustical holography. Typically the calculation of these modes requires boundary element methods for all but flat plate and full sphere geometries. This paper presents a radiation mode formulation for cylindrically curved structures with small curvature, based on the uniform theory of diffraction. This formulation shows promise, as it produces analytical expressions for the radiation resistance matrix, leading to computationally efficient radiation mode calculation. Radiation modes are shown for cylindrically curved plates, and the calculation of sound power with these modes is compared to that calculated using boundary element methods. The extension of this formulation to other curved structures is discussed.
Aspirin-Exacerbated Respiratory Disease — New Prime Suspects (2016)

NSAIDs that inhibit cyclooxygenase-1 can provoke severe asthma and rhinosinusitis with nasal polyps and eosinophil infiltration. Cysteinyl leukotriene generation by the leukotriene C4 synthase pathway may cause the bronchoconstriction, vascular leak, and mucous secretion.
Gender Differences in Outcomes After Hospital Discharge From Coronary Artery Bypass Grafting (2006)

Women have a more complex clinical preoperative presentation and are more likely to be readmitted with unstable angina and congestive heart failure after CABG but experience survival similar to those seen in men. Gender differences in outcomes may be improved through durable revascularization strategies and close postoperative follow-up care targeted to women.
Crystallization and preliminary X-ray analysis of a lipase from Chromobacterium viscosum (1994)

Lipase from Chromobacterium viscosum has been purified to homogeneity and crystallized in a form suitable for X-ray diffraction analysis from 10-14% polyethylene glycol 4000 and 10-14% 2-methyl-2,4-pentane diol at pH 6.4 in the presence of 0.25%(w/v) n-octyl-beta-D-glucopyranoside. These crystals belong to space group P2(1)2(1)2 with refined lattice constants a = 41.1 A, b= 156.8, c = 43.6 A, indicating a cell content of one monomer per asymmetric unit of the crystal. The crystals diffract to a resolution of 2.2 A.
Multi-Representations Encoding Framework for Adaptive Http Streaming (2018)

Adaptive HTTP streaming requires a video to be encoded at multiple representations of different target bitrates. To achieve both smooth streaming and good quality, the representations need to be encoded with accurate rate control and the best quality possible for the target bitrates. However, in practical applications, accurate rate control and good video quality are very difficult to achieve at the same time with one-pass and real-time encoding required by low latency applications. In this paper, we proposed a multi-representation encoding framework that reused the encoding information from low-quality representations to accelerate and optimize higher bitrate encodings. The proposed framework is implemented on two different rate control models, namely R-λ model in HM-16.3 and complexity model in x264, to demonstrate the universality. To be best of our knowledge, the optimization in compression performance of multi - representation is first proposed in this paper. The proposed algorithm can achieve better video quality with only small latency in video coding. Results show that up to 49.6% BDRate savings and 4.43dB BDPSNR improvement are achieved in HM as compared with independent one-pass encodings. Meanwhile, 12.5% time and 14.65% BDRate savings were observed in x264.
Transvaginal color Doppler sonography for predicting response to concurrent chemoradiotherapy for locally advanced cervical carcinoma (2004)

The results suggest that TVCD may be useful in predicting clinical response to concurrent chemoradiation in patients with locally advanced cervical cancer.
Impact of mobility and wireless channel on the performance of wireless networks (2006)

I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii This thesis studies the impact of mobility and wireless channel characteristics, i.e., variability and high bit-error-rate, on the performance of integrated voice and data wireless systems from network, transport protocol and application perspectives. From the network perspective, we study the impact of user mobility on radio resource allocation. The goal is to design resource allocation mechanisms that provide seamless mobility for voice calls while being fair to data calls. In particular, we develop a distributed admission control for a general integrated voice and data wireless system. We model the number of active calls in a cell of the network as a Gaussian process with time-dependent mean and variance. The Gaussian model is updated periodically using the information obtained from neighboring cells about
Highly Selective Red-Emitting Fluorescent Probe for Imaging Cancer Cells in Situ by Targeting Pim-1 Kinase (2017)

Based on the fact that enzyme-targeting probes are highly sensitive and selective, a novel red-emitting probe (NB-BF) for Pim-1 kinase including three parts, fluorophore (NB), linker, and inhibitor (BF), has been designed for cancer optical imaging. In its free state, NB-BF is folded and the fluorescence quenched by PET between fluorophore and inhibitor both in PBS buffer and in normal cells. Significantly, it emitted strong red fluorescence in Pim-1 overexpressed cancer cells. The specificity of NB-BF for Pim-1 kinase was directly demonstrated by gene silencing analysis. Furthermore, it is the first time to know where Pim-1 kinase mainly distributes at mitochondria with Pearson's correlation factor (R<sub>r</sub>) of 0.965 and to provide a fluorescent tool to verify the function of the Pim-1 kinase. More importantly, NB-BF was applied in tissue imaging and preferentially labeled tumors in vivo.
Concept Design of AGV (Automated Guided Vehicle) Based on Image Detection and Positioning (2018)

Humanity is witnessing the fourth industrial revolution. In the fourth industrial revolution era, the high level of ICTs (Information and Communication Technologies) such as AI (Artificial Intelligence), IoT (Internet of Things), big data, cloud system will be converged and pervaded throughout the society which may lead to innovative changes in our life. Especially, automated driving is one of the most representative keyword of the fourth industrial revolution. Automated driving is not only the state-of-the-art application for the cars on the street but also the essential solution for the vehicles, so called AGV, on the manufacturing factory. In this paper, concept design of AGV (Automated Guided Vehicle) based on image detection and positioning were suggested.
Prediction of Activated Carbon Performance for Binary Vapor Mixtures (1983)

The adsorption characteristics of a packed bed of carbon granules were determined under dynamic flow conditions for individual vapors and binary vapor mixtures of various compositions and concentrations. Carbon tetrachloride, chloroform, and benzene and binary mixtures of these vapors, with wide variations in the mole fraction of each vapor, were used. We found that the adsorption space occupied by each vapor was proportional to its mole fraction in the mixture; that is, the vapor's adsorption space was reduced from the adsorption space it would have occupied at the same relative pressure if the carbon bed had been exposed to each vapor separately. The diminished effectiveness of the carbon for one vapor due to the presence of another was quantitatively predicted for binary mixtures by applying this finding to previously established adsorption relationships.
Making inroads to precision medicine for the treatment of autoimmune diseases: Harnessing genomic studies to better diagnose and treat complex disorders (2023)

Precision Medicine is an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle. Autoimmune diseases are those in which the body's natural defense system loses discriminating power between its own cells and foreign cells, causing the body to mistakenly attack healthy tissues. These conditions are very heterogeneous in their presentation and therefore difficult to diagnose and treat. Achieving precision medicine in autoimmune diseases has been challenging due to the complex etiologies of these conditions, involving an interplay between genetic, epigenetic, and environmental factors. However, recent technological and computational advances in molecular profiling have helped identify patient subtypes and molecular pathways which can be used to improve diagnostics and therapeutics. This review discusses the current understanding of the disease mechanisms, heterogeneity, and pathogenic autoantigens in autoimmune diseases gained from genomic and transcriptomic studies and highlights how these findings can be applied to better understand disease heterogeneity in the context of disease diagnostics and therapeutics.
Permethrin-treated clothing as protection against the dengue vector, Aedes aegypti : extent and duration of protection (2015)

Background: 3900 million people globally are at risk of dengue fever infection, with its distribution increasing rapidly over the past 50 years. Since the primary vector, Aedes aegypti, is exophilic and most active during the day, personal protection technologies, such as insecticide treated clothing, could provide signiﬁcant protection from mosquito bites.Methods: World Health Organisation Pesticide Evaluation Scheme (WHOPES) cone and arm-in-cage assays were used to assess protection, knockdown and mortality against factory, home-dipped and microencapsulated permethrin-treated fabrics using Ae. aegypti mosquitoes. Factory-treated clothing was then analysed further to investigate the effects of insecticide resistance, clothing coverage, washing, Ultra-violet light and ironing.Results: Factory-treated clothing showed the greatest protective effect (1 h KD 96.5% and 24 h mortality 97.1%), landing protection (59% (95% CI = 49.2–66.9) and bite protection (100%). Landing and biting protection reduced signiﬁcantly from 58.9% to 18.5% and 28.6% to 11.1% after 10 washes for simulated hand washing. Resistance to permethrin had no effect on the efﬁcacy of the clothing, with coverage playing an important role. Full coverage provided the highest protection (79.4% landing protection, 100% biting protection). Free ﬂight room assays showed no difference in landing protection between the two coverage types but bite protection was signiﬁcantly greater (>90%) with full coverage. HPLC conﬁrmed ironing reduced permethrin content after 1 week simulated use, with a 96.7% decrease after 3 months. UV exposure was shown to have no effect.Conclusion: Insecticide treated clothing can provide signiﬁcant biting and landing protection, even in a resistant strain. However, our ﬁndings also suggest that clothing may provide only short-term protection due to the effect of washing and ironing, highlighting the need for improved clothing treatment techniques.Disclosure: Nothing to disclose.
Photochemistry of a Bacterial Photosynthetic Reaction Center Missing the Initial Bacteriochlorophyll Electron Acceptor (2012)

A novel chromophore composition of the bacterial photosynthetic reaction center (RC) has been discovered: RCs lacking the L-side monomeric bacteriochlorophyll chromophore result from mutation of the native isoleucine at M204 to glutamine in Rhodobacter capsulatus . This conclusion is obtained from 77 K UV-vis spectroscopy and pigment extractions of the I(M204)Q mutant and seven variants containing the I(M204)Q plus other mutations. The oxidation potential of the primary electron donor P (a dimer of bacteriochlorophylls) was measured for three of the mutants and found to be 50-65 mV lower than in wild-type RCs. Ultrafast transient absorption measurements reveal (minimally) two subpopulations of P* that have distinct lifetimes and photochemical outcomes for all mutants containing I(M204)Q. In one subpopulation P* decays solely by internal conversion to the ground state. In the other subpopulation P* decays by electron transfer to the normally inactive M-side bacteriopheophytin (H(M)) in competition with internal conversion to the ground state. When a Tyr residue is substituted for the native Phe at L181 near the M-side monomeric bacteriochlorophyll (B(M)), the rate of electron transfer to H(M) is increased about 4-fold.
Saliva is a reliable tool to detect SARS-CoV-2 (2020)

Saliva is a reliable tool to detect SARS-CoV-2. The role of saliva in COVID-19 diagnosis could not be limited to a qualitative detection of the virus, but it may also provide information about the clinical evolution of the disease.
Generation of restriction endonucleases barcode map to trace SARS-CoV-2 origin and evolution (2021)

Since the first report of SARS-CoV-2 in China in 2019, there has been a huge debate about the origin. In this work, using a different method we aimed to strengthen the observation that no evidence of genetic manipulation has been found by (1) detecting classical restriction site (RS) sequence in human SARS-CoV-2 genomes and (2) comparing them with other recombinant SARS-CoV-like virus created for experimental purposes. Finally, we propose a novel approach consisting in the generation of a restriction endonucleases site map of SARS-CoV-2 and other related coronavirus genomes to be used as a fingerprint to trace the virus evolution.
Interrogating intervention delivery and participants’ emotional states to improve engagement and implementation: A realist informed multiple case study evaluation of Engager (2022)

ISRCTN11707331, Wales Research Ethics Committee, Registered 02-04-2016-Retrospectively registered https://doi.org/10.1186/ISRCTN11707331.
Leakage power reduction for deeply-scaled FinFET circuits operating in multiple voltage regimes using fine-grained gate-length biasing technique (2015)

With the aggressive downscaling of the process technologies and importance of battery-powered systems, reducing leakage power consumption has become one of the most crucial design challenges for IC designers. This paper presents a device-circuit cross-layer framework to utilize fine-grained gate-length biased FinFETs for circuit leakage power reduction in the near- and super-threshold operation regimes. The impacts of Gate-Length Biasing (GLB) on circuit speed and leakage power are first studied using one of the most advanced technology nodes — a 7nm FinFET technology. Then multiple standard cell libraries using different leakage reduction techniques, such as GLB and Dual-Fj-, are built in multiple operating regimes at this technology node. It is demonstrated that, compared to Dual-Fj-, GLB is a more suitable technique for the advanced 7nm FinFET technology due to its capability of delivering a finer-grained trade-off between the leakage power and circuit speed, not to mention the lower manufacturing cost. The circuit synthesis results of a variety of ISCAS benchmark circuits using the presented GLB 7nm FinFET cell libraries show up to 70% leakage improvement with zero degradation in circuit speed in the near- and super-threshold regimes, respectively, compared to the standard 7nm FinFET cell library.
Calibration of a Dual-Polarized Probe Using the 16-Term Calibration Model (2021)

A calibration method for square or circular waveguide-based dual-polarized probes is proposed based on the 16-term network analyzer calibration model, allowing systematic errors, such as polarization impurity and mismatches to be corrected. The unique issues associated with such a dual-polarized probe are discussed, namely, the difficulty in creating thru or delay calibration standards and known asymmetric reflect standards. A novel calibration procedure solving the 16-term calibration model is developed and proposed, which overcomes these issues by utilizing three known symmetric reflect standards, one unknown asymmetric reflect standard, and an optional unknown but reciprocal standard. Subsequently, two Ka-band (26.5-40 GHz), square-waveguide-based dual-circularly polarized probes are fabricated along with the required calibration standards, and the proposed calibration method is then applied and its efficacy verified. In addition, the ability of the calibration algorithm to correct for polarization impurity is demonstrated through synthetic aperture radar (SAR) measurements in conjunction with a sample containing a plurality of identical targets with different relative orientations.
Steady-state and dynamic analysis of a buck converter using a hysteretic PWM control (2004)

In this paper, steady state and dynamic analysis of a buck converter using a hysteretic PWM control scheme is presented. Since the proposed control scheme only uses a comparator with hysteresis and a feedback resistor, numbers of components in a control circuit are reduced. In addition, no error amplifier is used, thus the stability of the converter becomes excellent. The steady state and dynamic analysis of the proposed converter is performed and verified by experiments. We proved that the proposed control scheme has no phase lag and shows excellent transient response.
Structural health monitoring using continuous sensors and neural network analysis (2006)

A method for damage detection in a plate structure is presented based on strain waves that are generated by foreign object impact on the structure, or by damage that is propagating in the structure. The response characteristics of continuous sensors, which are long ribbon-like sensors, were studied by simulation of wave propagation in a panel. The advantage of the continuous sensor is to improve damage detection by having a large coverage of sensors on the structure using a small number of channels of data acquisition. Strain responses from the continuous sensors were used to estimate the damage location using a neural network technique. Eight hundred numerical wave propagation simulation runs for a plate were carried out to train the neural network and verify the proposed method for damage localization. The identified damage locations agreed reasonably well with the exact damage locations. Overall, the approach presented is meant to simplify the instrumentation needed for damage detection by using continuous sensors, a small number of channels of data acquisition, and training a neural network to do the work of locating the damage source.
Design and implementation of the digital controller for boost converter based on FPGA (2011)

Taking advantage of FPGA's attractive features, this paper presents an improved digital pulse-width-modulator (DPWM) based sliding-mode controller (SMC) for boost converter that effectively alleviates the quantization effects. The dithering Multi-stAge-noise-SHaping (MASH) DPWM is introduced exhibiting a better idle tone suppression effect that achieves relatively higher effective number of bit (ENOB). The Linear Feedback Shift Register (LFSR) replaces the cumbersome pseudo-random generator as the dither generation module that is proven to be more effective. The SMC with the proper sliding coefficients aiming at a better dynamic response than the traditional PID controller cooperates with our proposed DPWM. Two individual boards, an analog-to-digital converter (ADC) and a boost converter, connecting to a Virtex-II FPGA platform compose a close-loop test environment. Experimental results verify the switching-mode-power-supply (SMPS) close-loop operation at 1MHz switching frequency with an 11-bit effective DPWM resolution.
Recent Advances in Clarifying Prion Protein Functions Using Knockout Mice and Derived Cell Lines (2006)

Considerable information on the functions of prion protein (PrP) has been accumulated. One experimental approach is the use of PrP gene-knockout mice and derived cell lines. This approach has contributed to elucidating the functions of cellular prion protein (PrP(C)), such as its anti-oxidative and anti-apoptotic roles. This review will introduce the recent advances in prion biology made possible by the availability of these tools.