gebhart/patrepeval huggingface dataset:
Abstract 1329: Preclinical evaluation of TAS6417 as a highly effective, pan-mutation-selective EGFR tyrosine kinase inhibitor (2019)

Objectives: Three generations of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) have developed to treat advanced non-small cell lung cancer (NSCLC) with EGFR mutations. However, each generation of TKI has different spectrum of activity against the different mutations. Currently, no EGFR TKIs are approved for NSCLC with EGFR insertion 20 mutation. Previously, we have shown that TAS6417, a novel EGFR TKI, is effective for cells harboring EGFR insertion mutations in vitro and in vivo. In this study, we asked whether TAS6417 is effective for tumors harboring other EGFR mutations observed in clinic.Methods: Genetically engineered Ba/F3 cells expressing EGFR mutants, lung cancer cell lines including newly established cell lines established from tumors harboring EGFR insertion 20 were used to evaluate efficacy of erlotinib, afatinib, osimertinib, poziotinib, and TAS6417 by cell viability analyses. The selectivity indexes (the wild type EGFR/mutant EGFR ratio) were calculated to predict a therapeutic window for each TKI. Effects of each EGFR TKI on EGFR signaling and apoptosis were evaluated by western blotting. Finally, murine xenograft models were used to evaluate efficacy of TAS6417 and all generation of EGFR TKIs for the treatment of NSCLC with EGFR mutations.Results: Cell viability assays demonstrate that TAS6417 was as potent as poziotinib against common EGFR mutations (L868R and exon 19 deletions) and the most potent against cells harboring the T790M resistant mutations. In addition, TAS6417 was effective in cells harboring EGFR rare mutations (G719X L861Q, and S768I). Even though IC50s were higher than those of poziotinib in cells harboring EGFR insertion 20, the selectivity indexes (the wild type EGFR/mutant EGFR ratio) were higher in TAS6417, indicating a wider therapeutic window. TAS6417 was effective in mice injected with cells harboring EGFR mutations with no body weight loss.Conclusions: Our preclinical results confirm that TAS6417 is a potent EGFR TKI with a broader spectrum of activity and a wider therapeutic window and support clinical trials in the near future.Citation Format: Hibiki Udagawa, Shinichi Hasako, Akihiro Ohashi, Naomi Abe, Tomonori Haruma, Toshiharu Komori, Miki Terasaka, Ryoto Fujita, Kaoru Funabashi, Hiroyuki Yasuda, Kazutaka Miyadera, Koichi Goto, Daniel B. Costa, Susumu S. Kobayashi. Preclinical evaluation of TAS6417 as a highly effective, pan-mutation-selective EGFR tyrosine kinase inhibitor [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1329.
Gabapentin for Treatment of Pain and Tremor (1998)

Gabapentin offers an effective, safe alternative therapy or co-therapy for the listed painful conditions and tremor; it does not affect the metabolism of other medications and is well tolerated.
Stencil printing process development for low cost flip chip interconnect (2002)

Traditional methods for forming flip chip interconnection include evaporation and electroplating. While both options have proven performance records, their costs are too high for many of today's cost-sensitive applications. Motorola AISL (Advanced Interconnect Systems Laboratory) developed a low cost flip chip interconnect alternative, which electroless plates Ni/Au as the under bump metallurgy (UBM), deposits solder paste using a stencil or photoresist mask, and reflows the paste to form solder bumps. This paper is focused on the stencil print process development for wafer solder bumping. Solder paste selection, characterization, stencil design, and process parameter optimization are critical factors for successful fine pitch stencil printing. Fine mesh eutectic solder pastes (Type 5: -500+635, Type 6: -635) with different flux vehicles were evaluated for printability and reflow studies. Paste and flux modification and co-development with vendors for this specific application were conducted. An optimal paste, with specified viscosity and desired print, reflow and cleaning behavior, was developed. Wafer stencil design rules were established to deposit the right amount of solder paste to form the required reflowed solder bump height without bridges between pads. Printing and reflow design of experiments were performed to establish the baseline and optimum process parameters. Solder bump characterizations, including bump height and uniformity, composition, shear force, and SEM bump profile and cross section microstructure analysis, were conducted. Development and characterization results are presented.
Jona se “opstanding uit die dood”: Perspektiewe op die “opstandings-geloof” vanuit die Ou Testament Dirk (2004)

Jonah’s “resurrection from death”: Perspectives on “resurrection faith” in the Old TestamentThe Jonah novelette tends to be one of the First Testament’s primary witnesses on the resurrection faith. This faith portrays the omnipotent power of God over all other threatening powers of death and chaos, be they human or divine. Only God can raise the dead from death. Jonah’s resurrection from death illustrates how Yahweh alone is responsible for this endeavour. This article focuses on Jonah’s prayer (2:3-10). It argues that the reader is persuaded to see Jonah’s flight from Yahweh and his commission ultimately leading to his ending up behind the bars of death (2:7b). Embedded in fictitious and mythological descriptions is Yahweh who delivered Jonah from the pit of death, namely Sheol (2:7c). Resurrection faith narratives in the Second Testament confirm these perspectives in the First Testament.
Representation of clinical practice guidelines for computer-based implementations. (2001)

Representation of clinical practice guidelines is a critical issue for computer-based guideline development, implementation and evaluation. We studied eight types of computer-based guideline representation models. Typical primitives for these models include decisions, actions, patient states and execution states. Temporal constraints and nesting are important aspects of guideline structure representation. Integration of guidelines with electronic medical records can be facilitated by the introduction of formal models of patient data. Patient states and execution states are closely related to one another. Data collection, decision, patient state and intervention are four basic steps in a guideline's logic flow.
Glia-Derived Nexin Potentiates Neurite Extension in Hippocampal Pyramidal Cells in vitro (1990)

Glia-derived nexin (GDN) is a serine protease inhibitor which promotes the outgrowth of neurites from neuroblastoma cells and from chick sympathetic neurons. However, it has not been demonstrated that this effect is independent of its protease inhibitory activity. We report here that, 48 h after the addition of GDN to astrocyte-free cultures of rat hippocampal cells, there was a significant increase in axon length, although dendrite length and the total number of neurites were unaffected. Nerve growth factor added alone had no significant effect nor was there any additional effect when it was added together with GDN. However, hirudin, a thrombin inhibitor purified from leeches, was found to mimic the GDN effect at similar molar concentrations of active protein. This suggests that the protease inhibitory activity is crucial for the neurite-promoting effect of GDN on hippocampal neurons.
Implementation Of Secure & Cost Effective Authentication Process In IEEE 802.16e WiMAX (2012)

The Mobile WiMAX IEEE 802.16e is a neoteric technology providing broadband data access to mobile and stationary users while supporting handover and roaming capabilities. In the area of security aspects, Mobile WiMAX exhibits vulnerabilities while adopting improved security architecture. Bandwidth is an additional overhead in reducing these vulnerabilities. To compensate bandwidth and security, this project focuses on reducing the security vulnerabilities in the initial network entry process and access network of the WiMAX domain with a view to reduce the memory required for key management. This paper proposes the usage of 1.Modified Diffie-Hellman algorithm and 2.Device certificate for key exchange process to provide secure authentication and 3.Compression technique to reduce the memory space and the transmission bandwidth. The 802.16e mobile WiMAX model is implemented using Qualnet and security enhancement is implemented using MATLAB.MYSQL is used as the database for Key storage. This proposed work enhances the security of the WiMAX network and reduces at least 50% of the bandwidth.
Cloud-Based or On-Device: An Empirical Study of Mobile Deep Inference (2018)

Modern mobile applications are benefiting significantly from the advancement in deep learning, e.g., implementing real-time image recognition and conversational system. Given a trained deep learning model, applications usually need to perform a series of matrix operations based on the input data, in order to infer possible output values. Because of computational complexity and size constraints, these trained models are often hosted in the cloud. To utilize these cloud-based models, mobile apps will have to send input data over the network. While cloud-based deep learning can provide reasonable response time for mobile apps, it restricts the use case scenarios, e.g. mobile apps need to have network access. With mobile specific deep learning optimizations, it is now possible to employ on-device inference. However, because mobile hardware, such as GPU and memory size, can be very limited when compared to its desktop counterpart, it is important to understand the feasibility of this new on-device deep learning inference architecture. In this paper, we empirically evaluate the inference performance of three Convolutional Neural Networks (CNNs) using a benchmark Android application we developed. Our measurement and analysis suggest that on-device inference can cost up to two orders of magnitude greater response time and energy when compared to cloud-based inference, and that loading model and computing probability are two performance bottlenecks for on-device deep inferences.
Refractometric Glucose Biosensor Incorporating a Vertically Coupled Microring Resonator in Polymeric Waveguides (2008)

본 논문에서는 굴절률 감지 방식의 수직 결합형 폴리머 마이크로링 공진기 기반 글루코스 바이오 센서를 제안하고 구현하였다. 이 센서에서 상부 클래딩 역할을 하는 글루코스 분석 대상물의 농도 변화는 링 공진기의 공진파장 이동을 측정함으로써 얻어진다. 특히, 센서의 감도를 향상시키기 위해 다음과 같은 방법을 사용하였다. 첫째로, 분석 대상물에 근접한 유효굴절률을 갖는 폴리머 도파로 구조를 공진기 센서에 도입하였다. 둘째로, 분석 물질의 접촉면적을 확대하기 위해 측면 클래딩층이 충분히 식각된 pedestal 링 도파로 구조를 사용하였다. 제안된 공진기 센서는 빔전파 방법을 사용하여 설계하고 분석하였다. 사용된 코어 및 클래딩용 폴리머의 굴절률은 각각 1.430과 1.375였으며, 링 반경은 <TEX>$400\;{\mu}m$</TEX>였다. 이 때 얻어진 도파로의 유효굴절률은 <TEX>${\sim}1.390$</TEX>였으며 글루코스 수용액의 굴절률 1.333와 매우 근접하였다. 제작된 소자의 기본적인 전달특성은 FSR(free spectral range) 0.66 nm, 대역폭 <TEX>${\sim}0.15\;nm$</TEX>, Q 값 10,000 이었다. 1550 nm 광파장 대역에서 얻어진 측정 결과를 살펴보면, 센서 감도는 <TEX>${\sim}0.28\;pm$</TEX>/(mg/dL)였으며, 이에 따른 굴절률 변화 감도는 <TEX>${\sim}200\;nm/RIU$</TEX>였다. A refractometric glucose biosensor incorporating a vertically coupled microring resonator in polymers was proposed and realized. The ring was covered with a target analyte of glucose solution with a certain concentration, so that its effective refractive index could be altered and, as a result, the resonance wavelength of the sensor was shifted. Therefore the concentration of the glucose solution can be estimated by observing the shift in the resonance wavelength. Two schemes were exploited for enhancing the sensitivity of the sensor. First, the effective refractive index of the polymeric waveguide used for the resonator sensor was adjusted to approach that of the target analyte as best as possible. Second, the ring waveguide, which serves as a crucial sensing part, was appropriately over-etched to enlarge its contact area with the analyte. The proposed resonator sensor was designed with the beam propagation method. The refractive indices of the core and cladding polymer involved were 1.430 and 1.375 respectively, leading to the waveguide's effective refractive index of <TEX>${\sim}1.390$</TEX>, which is faiirly close to that of the glucose solution of <TEX>${\sim}1.333$</TEX>. The prepared ring resonator with the <TEX>$400-{\mu}m$</TEX> radius exhibited the free spectral range of 0.66 nm, the bandwidth of 0.15 nm, and the quality factor of 10,000. For the sensor operating at 1,550 nm wavelength, the achieved sensitivity was as great as 0.28 pm/(mg/dL), which is equivalent to 200 nm/RIU.
Evolução da concepção operativa do contingente brasileiro na MINUSTAH (2018)

O presente artigo aborda a evolucao da concepcao operativa do contingente brasileiro durante a participacao na MINUSTAH, analisando o legado deixado para a Forca Terrestre.
From Smart Sensors to Smarter Solutions with Physical Analytics (2015)

While in the past most information on the internet was generated by humans or computers, with the emergence of the Internet of Things, vast amount of data is now being created by sensors from devices, machines etc, which are placed in the physical world. Here we present a series of example applications enabled by such sensor data and what we call "Physical Analytics", which provides the underlying intelligence using a combination of physical and statistical models. The smarter solutions, which are being presented in this talk, range from active energy management and optimization, environmental sensing and controls, precision agriculture to renewable energy forecasting. All these different applications have been built using a single platform, which is comprised of a set of "configurable" technologies components including ultra-low power sensing and communication, big data management technologies, numerical modeling for physical systems, machine learning based physical model blending, and physical analytics based automation and control.
The Race for New Biofuels (2008)

Building better bacteria to turn plants into fuel for your car.
A Dynamic Near-Optimal Algorithm for Online Linear Programming (2009)

A natural optimization model that formulates many online resource allocation and revenue management problems is the online linear program (LP) in which the constraint matrix is revealed column by column along with the corresponding objective coefficient. In such a model, a decision variable has to be set each time a column is revealed without observing the future inputs and the goal is to maximize the overall objective function. In this paper, we provide a near-optimal algorithm for this general class of online problems under the assumption of random order of arrival and some mild conditions on the size of the LP right-hand-side input. Specifically, our learning-based algorithm works by dynamically updating a threshold price vector at geometric time intervals, where the dual prices learned from the revealed columns in the previous period are used to determine the sequential decisions in the current period. Due to the feature of dynamic learning, the competitiveness of our algorithm improves over the past study of the same problem. We also present a worst-case example showing that the performance of our algorithm is near-optimal.
Metabolic disposition of<sup>14</sup>C-venlafaxine in mouse, rat, dog, rhesus monkey and man (1993)

1. The metabolic disposition of venlafaxine has been studied in mouse, rat, dog, rhesus monkey and man after oral doses (22, 22, 2, and 10 mg/kg, and 50 mg, respectively) of 14C-venlafaxine as the hydrochloride. 2. In all species, over 85% of the administered radioactivity was recovered in the urine within 72 h, indicating extensive absorption from the GI tract and renal excretion. 3. Venlafaxine was extensively metabolized, with only 13.0, 1.8, 7.9, 0.3 and 4.7% dose appearing as parent compound in urine of mouse, rat, dog, monkey and man, respectively. The metabolite profile varied significantly among species, but primary metabolic reactions were demethylations and the conjugation of phase I metabolites. Hydroxylation of the cyclohexyl ring also occurred in mouse, rat and monkey, and a cyclic product was formed in rat and monkey. Glucuronidation was the primary conjugation reaction, although sulphate conjugates were also detected in mouse urine. 4. While no metabolite constituted more than 20% dose in any species except man, the major urinary metabolites were: mouse, N,O-didesmethyl-venlafaxine glucuronide; rat, cis-1,4-dihydroxy-venlafaxine; dog, O-desmethyl-venlafaxine glucuronide; monkey, N,N,O-tridesmethyl-venlafaxine; and man, O-desmethyl-venlafaxine.
Synergy of DNA methylation and histone deacetylase inhibitors in the re-expression of RASSFIA and P16 genes silenced in QBC cells (2008)

调查 DNA 甲基化的效果的目的并且嘘在 P16 的重新表示和 QBC939 的 RASSIF1A 的一个 deacetylase 禁止者。QBC939 房间与肼苯哒嗪和独自一个或联合的 valproate 被对待的方法，和控制组与 RPIM-1640 培养基被增加。在 48 h 以后， P16 和 RASSF1A 基因的表达式被反向的 transcription-PCR，西方的污点，和二基因的甲基化地位计算与 MSP (甲基化 specific PCR ) 被检测。结果肼苯哒嗪和 valproate 能导致二基因的倡导者区域的脱甲基，并且能使他们反应。P16 的表情和与两药对待的房间的 RASSF1A 比与肼苯哒嗪或 valproate 对待的房间的高(P < 0.01 ) 。没有 RASSF1A 基因，和在控制组表示的很少 P16 基因。脱甲基效果能在与肼苯哒嗪或两药对待的组被发现，而没有脱甲基效果发生在 valproate 组。二药能 synergistically 重新表示的结论 P16 和 RASSF1A 基因 silenced 在 QBC939，和他们在 QBC 房间上施加了大反瘤效果。
Deep Convolutional Neural Fields for Depth Estimation from a Single Image (2014)

We consider the problem of depth estimation from a single monocular image in this work. It is a challenging task as no reliable depth cues are available, e.g., stereo correspondences, motions, etc. Previous efforts have been focusing on exploiting geometric priors or additional sources of information, with all using hand-crafted features. Recently, there is mounting evidence that features from deep convolutional neural networks (CNN) are setting new records for various vision applications. On the other hand, considering the continuous characteristic of the depth values, depth estimations can be naturally formulated into a continuous conditional random field (CRF) learning problem. Therefore, we in this paper present a deep convolutional neural field model for estimating depths from a single image, aiming to jointly explore the capacity of deep CNN and continuous CRF. Specifically, we propose a deep structured learning scheme which learns the unary and pairwise potentials of continuous CRF in a unified deep CNN framework. The proposed method can be used for depth estimations of general scenes with no geometric priors nor any extra information injected. In our case, the integral of the partition function can be analytically calculated, thus we can exactly solve the log-likelihood optimization. Moreover, solving the MAP problem for predicting depths of a new image is highly efficient as closed-form solutions exist. We experimentally demonstrate that the proposed method outperforms state-of-the-art depth estimation methods on both indoor and outdoor scene datasets.
Rapid purification of double-stranded DNA by triple-helix-mediated affinity capture (1993)

A simple and rapid method for the preparation of highly pure plasmid DNA has been developed. The DNA is directly captured from bacterial cell lysates by formation of a triple-helical structure between the plasmid dsDNA and a 20-base biotinylated oligonucleotide attached to streptavidin-coated magnetic beads and then eluted from the beads in pH 9 buffer solution. No phenol extraction, ethanol precipitation, RNase digestion, or CsCl gradient centrifugation is required. A general purpose cloning vector, pHJ19, was constructed for this application from pUC19 DNA by insertion of a 40-base sequence suitable for triple-helix formation. The approach was also found suitable for the purification of lambda bacteriophage DNA.
Finite element analysis of radiation force induced tissue motion with experimental validation (2003)

An ultrasonic radiation force-based method for remote palpation of tissue is investigated. The use of radiation force to image tissue stiffness has been proposed by several researchers. In this paper, the potential for using a diagnostic ultrasound system to both apply radiation force and track the resulting tissue displacements is investigated using Finite Element Methods (FEM), and the results are compared with experimental results. Remote palpation is accomplished by interspersing high intensity pushing beams with low intensity tracking beams. This generates localized radiation forces which can be applied throughout the tissue, with the resulting displacement patterns determined using correlation techniques. An area that is stiffer than the surrounding medium distributes the force, resulting in larger regions of displacement, and smaller maximum displacements. The resulting displacement maps provide information as to the location and size of regions of increased stiffness. The authors have developed an FEM model that predicts displacements resulting from acoustic radiation force fields generated by diagnostic transducers in various complex media. They perform a parametric analysis of varying tissue and acoustic beam characteristics on radiation force induced tissue displacements. Displacements are on the order of microns, with considerable differences in displacement patterns in the presence and absence of a lesion (or stiff inclusion). Initial experimental results are presented that support the findings in the model.
Three-Tier View-Based Support for Mobile Workflows (2002)

Workflow technology has recently been employed not only within businesses but also as a framework for implementing services over the Internet. With the advancement and spreading of various mobile technologies and infrastructures, there is increasing demand for mobile users to connect to workflow management systems (WFMS). The basic requirement is to support SMS, WAP and web browsers on PDAs, in addition to regular web browsers on PCs. As the capabilities and bandwidth of these mobile devices are significantly inferior to computers over regular Internet connections, workflows have to be adapted to accommodate these limitations. Instead of redesigning or adapting workflows in an ad-hoc manner for different kinds of platforms, we propose a framework of workflow adaptation for mobile users based on three tiers of views: user interface views, data views and workflow views. User interface views provide alternative presentations of inputs and outputs. Data views summarize data over limited bandwidth and display them in different forms. Furthermore, we introduce a novel approach of applying workflow views to mobile workflow adaptation, where mobile users may execute a more concise version or modified procedures of a business process. The workflow view also serves as the centric mechanism for integrating user interface views and data views. We demonstrate the feasibility of our approach by extending a flexible web-based WFMS E-ADOME into ME-ADOME. The concepts are illustrated with a workflow of procurement approval.
Immunomodulatory drugs alleviate <scp>l</scp>‐dopa‐induced dyskinesia in a rat model of Parkinson's disease (2019)

These data suggest that decreasing tumor necrosis factor-α levels may be useful to reduce the appearance of dyskinesia, and thalidomide, and more potent derivatives may provide an effective therapeutic approach to dyskinesia. © 2019 International Parkinson and Movement Disorder Society.