gebhart/patrepeval huggingface dataset:
Independent adaptive control of surviving symbol replica candidates at each stage based on minimum branch metric in QRM-MLD for OFCDM MIMO multiplexing (2005)

This paper proposes independent adaptive control of the number of surviving symbol replica candidates, S/sub m/, to calculate branch metrics, i.e., squared Euclidian distances, at each stage based on the minimums accumulated branch metric of each state in maximum likelihood detection, applying QR decomposition and the M-algorithm (QRM-MLD hereafter) for orthogonal frequency and code division multiplexing (OFCDM) MIMO multiplexing. In the proposed algorithm, the number of surviving symbol replica candidates at the m-th stage is independently controlled using the threshold value calculated from the minimum accumulated branch metric at the stage and estimated noise power. Computer simulation results show that the average number of squared Euclidian distance computations for the proposed adaptive independent S/sub m/ control method is decreased to approximately 1/3 that of the adaptive common S/sub m/ control and to approximately 1/6 that of the fixed S/sub m/ method for all stages, assuming for all control methods an identical achievable average block error rate.
Stochastic-binary convolutional neural networks with deterministic bit-streams (2020)

In this chapter, we proposed a low-cost and energy -efficient design for hardware implementation of CNNs. LD deterministic bit -streams and simple standard AND gates are used to perform fast and accurate multiplication operations in the first layer of the NN. Compared to prior random bit -stream -based designs, the proposed design achieves a lower misclassification rate for the same processing time. Evaluating LeNet5 NN with MINIST dataset as the input, the proposed design achieved the same classification rate as the conventional fixed-point binary design with 70% saving in the energy consumption of the first convolutional layer. If accepting slight inaccuracies, higher energy savings are also feasible by processing shorter bit -streams.
Nanostructured Metal Oxide Anodes (Presentation) (2009)

This summarizes NREL's FY09 battery materials research activity in developing metal oxide nanostructured anodes to enable high-energy, durable and affordable li-ion batteries for HEVs and PHEVs.
SCOUT contextually organizes user tasks (2005)

We explore ways to alleviate the current information explosion with an emphasis on organizing the abundance of legitimate (non-SPAM) emails that typical users receive daily. Our approach is to use information about the tasks implied by email message content along with context information about the environment of the message recipient. We focus on machine generated emails associated with workflow processes. We validate our approach by presenting the SCOUT portal application. This paper presents an overview of the SCOUT architecture together with results from a pilot user study that we have performed to assess the strengths and weaknesses of this system.
Nuclear magnetic resonance studies of sodium/calcium exchange in frog perfused, beating hearts (1990)

This study explores the effect of extracellular Ca2+ concentration ([Ca2+]o), on the intracellular Na+ concentration ([Na+]i), in frog intact hearts using nuclear magnetic resonance spectroscopy, which allows for the measurement of [Na+]i in perfused, beating hearts. Decreases in [Ca2+]o yielded marked increases in [Na+]i. A similar effect was seen during inhibition of the Na+/K+ pump and was fully reversible. This sensitivity of [Na+]i to [Ca2+]o, previously observed using microelectrodes, supports a crucial physiological role for Na+/Ca2+ exchange in frog intact, beating hearts.
Optically addressed modulator for tunable spatial polarization control (2018)

We present an optically addressed non-pixelated spatial light modulator. The system is based on reversible photoalignment of a LC cell using a red light sensitive novel azobenzene photoalignment layer. It is an electrode-free device that manipulates the liquid crystal orientation and consequently the polarization via light without artifacts caused by electrodes. The capability to miniaturize the spatial light modulator allows the integration into a microscope objective. This includes a miniaturized 200 channel optical addressing system based on a VCSEL array and hybrid refractive-diffractive beam shapers. As an application example, the utilization as a microscope objective integrated analog phase contrast modulator is shown.
Testing embedded cores and SOCs-DFT, ATPG and BIST solutions (2003)

Summary form only given. This tutorial presents a range of design and test techniques and considerations for incorporating high level testability into high performance SOC designs, constructed using embedded cores. Different solutions are proposed around DFT, ATPG and BIST techniques, and their implementation explained from the design and test viewpoints, for different components of SOCs. Capabilities of test automation tools to aid such implementations are explained alongside. Finally, a framework for design planning to assist in test logic implementation and validation, to meet aggressive design cycle times, is presented.
Nuclear Reprogramming Strategy Modulates Differentiation Potential of Induced Pluripotent Stem Cells (2011)

Bioengineered by ectopic expression of stemness factors, induced pluripotent stem (iPS) cells demonstrate embryonic stem cell-like properties and offer a unique platform for derivation of autologous pluripotent cells from somatic tissue sources. In the process of nuclear reprogramming, somatic tissues are converted to a pluripotent ground state, thus unlocking an unlimited potential to expand progenitor pools. Molecular dissection of nuclear reprogramming suggests that a residual memory derived from the original parental source, along with the remnants of the reprogramming process itself, leads to a biased potential of the bioengineered progeny to differentiate into target tissues such as cardiac cytotypes. In this way, iPS cells that fulfill pluripotency criteria may display heterogeneous profiles for lineage specification. Small molecule-based strategies have been identified that modulate the epigenetic state of reprogrammed cells and are optimized to erase the residual memory and homogenize the differentiation potential of iPS cells derived from distinct backgrounds. Here, we describe the salient components of the reprogramming process and their effect on the downstream differentiation capacity of the iPS populations in the context of cardiovascular regenerative applications.
Pentosan polysulfate in HIV patients: a phase I study (1990)

info:eu-repo/semantics/nonPublished
Potential Transmission of <I>Pantoea</I> spp. and <I>Serratia marcescens</I> (Enterobacteriales: Enterobacteriaceae) to Plants by <I>Lygus hesperus</I> (Hemiptera: Miridae) (2014)

Lygus hesperus Knight (Hemiptera: Miridae) is a key agricultural pest in the western United States. In a recent study, proteins from Pantoea ananatis and Serratia marcescens (Enterobacteriales: Enterobacteriaceae) were identified in diet that was stylet probed and fed on by L. hesperus adults. P. ananatis and S. marcescens are ubiquitous bacteria that infect a wide range of crops. The objective of our study was to determine whether L. hesperus transfer P. ananatis and S. marcescens to food substrates during stylet-probing activities. Sucrose (5%) was spread under parafilm and exposed to adult L. hesperus for 24 h. Diet similarly prepared but not exposed to insects was used for controls. MacConkey agar was inoculated with stylet-probed or control diets and incubated at 25 degrees C. After 24 h, bacterial colonies were observed on agar that was inoculated with stylet-probed diet, but were not observed on agar inoculated with control diet. Isolated bacterial colonies were putatively identified as either Pantoea spp. or S. marcescens using the API 20e identification kit. These results indicate that L. hesperus is capable of vectoring P. ananatis and S. marcescens.
Amphiphilic properties of the avian myeloblastosis virus major glycoprotein, gp 80 (1983)

The major glycoprotein (gp 80) from avian myeloblastosis virus (AMV) displays significant lipophilic properties, as shown by its strong interactions with acetylated uncharged decylamino agarose in hydrophobic chromatography. In effect, release from binding was achieved only by the added presence of a polarity reducing agent (ethylene glycol) and the strong anionic detergent sodium dodecyl sulfate. The hydrophobic behavior of the glycoprotein, coupled to the high content of hydrophilic carbohydrates, indicates its amphiphilic character. Confirmation of the amphiphilic nature of the AMV gp 80 was obtained by charge shift electrophoresis and crossed hydrophobic interaction immunoelectrophoresis. In both instances, the electrophoretic behavior of the glycoprotein was dependent on the presence of detergents. The AMV gp 80 displays the properties of integral membrane proteins.
Challenges and Extensions (2004)

This chapter contains sections titled: Trust Ethics Coherence Benevolence Network Architecture Managing Privacy Key Challenges and Recommendations
System Resilience through Health Monitoring and Reconfiguration (2022)

We demonstrate an end-to-end framework to improve the resilience of man-made systems to unforeseen events. The framework is based on a physics-based digital twin model and three modules tasked with real-time fault diagnosis, prognostics and reconfiguration. The fault diagnosis module uses model-based diagnosis algorithms to detect and isolate faults and generates interventions in the system to disambiguate uncertain diagnosis solutions. We scale up the fault diagnosis algorithm to the required real-time performance through the use of parallelization and surrogate models of the physics-based digital twin. The prognostics module tracks the fault progressions and trains the online degradation models to compute remaining useful life of system components. In addition, we use the degradation models to assess the impact of the fault progression on the operational requirements. The reconfiguration module uses PDDL-based planning endowed with semantic attachments to adjust the system controls so that the fault impact on the system operation is minimized. We define a resilience metric and use the example of a fuel system model to demonstrate how the metric improves with our framework.
Identification of Alternative Splicing Events Regulated by the Oncogenic Factor SRSF1 in Lung Cancer (2013)

Abnormal alternative splicing has been associated with cancer. Genome-wide microarrays can be used to detect differential splicing events. In this study, we have developed ExonPointer, an algorithm that uses data from exon and junction probes to identify annotated cassette exons. We used the algorithm to profile differential splicing events in lung adenocarcinoma A549 cells after downregulation of the oncogenic serine/arginine-rich splicing factor 1 (SRSF1). Data were generated using two different microarray platforms. The PCR-based validation rate of the top 20 ranked genes was 60% and 100%. Functional enrichment analyses found a substantial number of splicing events in genes related to RNA metabolism. These analyses also identified genes associated with cancer and developmental and hereditary disorders, as well as biologic processes such as cell division, apoptosis, and proliferation. Most of the top 20 ranked genes were validated in other adenocarcinoma and squamous cell lung cancer cells, with validation rates of 80% to 95% and 70% to 75%, respectively. Moreover, the analysis allowed us to identify four genes, ATP11C, IQCB1, TUBD1, and proline-rich coiled-coil 2C (PRRC2C), with a significantly different pattern of alternative splicing in primary non-small cell lung tumors compared with normal lung tissue. In the case of PRRC2C, SRSF1 downregulation led to the skipping of an exon overexpressed in primary lung tumors. Specific siRNA downregulation of the exon-containing variant significantly reduced cell growth. In conclusion, using a novel analytical tool, we have identified new splicing events regulated by the oncogenic splicing factor SRSF1 in lung cancer.
[THE ISRAELI INHERITED RETINAL DISEASES CONSORTIUM (IIRDC)- CLINICAL-GENETIC MAPPING AND FUTURE PERSPECTIVES]. (2019)

IIRDC works in close collaborative efforts aiming to continue and recruit for the genotype - phenotype study from the vast majority of Israeli IRD families, to identify all disease-causing mutations, and to tailor therapeutic interventions to each IRD patient.
Deletion of theaceEgene (encoding a component of pyruvate dehydrogenase) attenuatesSalmonella entericaserovar Enteritidis (2011)

Salmonella enterica serovar Enteritidis (S. Enteritidis) is a major food-borne pathogen. From a transposon insertion mutant library created previously using S. Enteritidis 10/02, one of the mutants was identified to have a 50% lethal dose (LD(50) ) at least 100 times that of the parental strain in young chicks, with an attenuation in a poorly studied gene encoding a component of pyruvate dehydrogenase, namely the aceE gene. Evaluation of the in vitro virulence characteristics of the ΔaceE∷kan mutant revealed that it was less able to invade epithelial cells, less resistant to reactive oxygen intermediate, less able to survive within a chicken macrophage cell line and had a retarded growth rate compared with the parental strain. Young chicks vaccinated with 2 × 10(9) CFU of the ΔaceE∷kan mutant were protected from the subsequent challenge of the parental strain, with the mutant colonized in the liver and spleen in a shorter time than the group infected with the parental strain. In addition, compared with the parental strain, the ΔaceE∷kan mutant did not cause persistent eggshell contamination of vaccinated hens.
CMOS-based power amplifiers and transmitters for Mm-wave applications (2014)

This paper provides a review of design techniques for mm-wave power amplifiers and integrated transmitters using CMOS technology. In order to achieve high power, transistor stacking, on-chip power combining, and spatial power combining (using combined amplifier and antenna arrays) are described. Output power up to 630 mW is demonstrated for a single CMOS chip coupled to a 2×2 antenna array at 45 GHz. Doherty amplifier design is reported to maximize efficiency in backoff. Designs which combine modulators and mixers with power amplifiers are also described, and external DPD linearization of transmitters to provide complex modulation patterns is reported.
ChemInform Abstract: Controlled Crystallization and Properties of Zirconium Fluoride‐Based Glass‐Ceramics. (1997)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
FNS-Cloud Charter (2021)

The FNS-Cloud Charter includes the text that will be presented to the General Assembly to be adopted by the members of the Consortium in the context of this project. The relevant aspects of Open Science and the ethical values that underpin the text of the Charter are previously studied so they will allow the members to understand the reasons that ground the proposal.
Dynamic Spin-Controlled Enantioselective Catalytic Chiral Reactions (2021)

Enantioselective catalytic chiral reactions are important to all aspects of life sciences. Here we present the first utilization of the chiral induced spin selectivity (CISS) effect to form, enantioselectively, sp<sup>3</sup> chiral centers in catalytic reactions, starting from achiral reagents. The enantiomeric symmetry is broken by affecting spin-controlled different reaction dynamics toward each of the enantiomers, using magnetic substrates. Two catalytic reactions are used for this purpose: a sulfide to sulfoxide oxidation and a Diels-Alder cycloaddition reaction, both catalyzed by hematite (Fe<sub>2</sub>O<sub>3</sub>). The proof of concept was evaluated by circular dichroism measurements and by chiral high-performance liquid chromatography techniques. These results provide direct evidence that the directionality of the electron spin can break enantiomeric symmetry, enabling asymmetric catalysis without using chiral reagents, solvents, or catalysts.
Optical frequency metrology with femtosecond laser pulses (2003)

The possibilities of frequency combs generated by femtosecond lasers in ultra high precision spectroscopy on atomic hydrogen at the 10/sup -14 /accuracy level are explored. Fundamental tests of the fs frequency comb technique down to the 10/sup -21 /level are done. Further applications arise in the time domain where now the phase slip between carrier and envelope of such pulses can be controlled.
Deep Learning for Joint Noncoherent Differential Detection and Channel Decoding (2021)

We propose a deep-learning approach for the joint noncoherent differential detection and channel decoding problem. Conventional receivers adopt a model-based approach for noncoherent differential detection and channel decoding in linear manners. For the noncoherent differential detection, the conventional way is to use symbol-by-symbol differential detection (DD) and multiple symbol differential detection (MSDD). DD is simple to implement, but it suffers from performance degradation compared with coherent detection. The performance degradation can be narrowed by MSDD that detects a block of symbols jointly. However, its complexity increases exponentially with the block size. Furthermore, MSDD is not robust in that when the channel phase changes substantively within the block, its performance could be worse than that of DD. Channel decoding needs to be determined according to the channel coding. This work applies the advantages in deep learning for the design of receivers. In particular, we employ a Deep neural network (DNN) constructed by Long Short-Term Memory (LSTM) units to solve the joint noncoherent differential detection and channel decoding problem. Our simulations show that a DNN can outperform conventional model-based linear receivers. Furthermore, it does so with faster signal processing. This performance improvement points to a new direction for future receiver design.
Biotypic Variation in a Worldwide Collection of Russian Wheat Aphid (Homoptera: Aphididae) (1992)

Eight isolates of Russian wheat aphid, Diuraphis noxia (Mordvilko), from a worldwide collection were evaluated on resistant and susceptible barley, triticale, and wheat entries. Aphid population levels and damage ratings for leaf chlorosis, plant stunting, and leaf rolling were used to determine ifbiotypic variation occurs within this species. Overall, percentage leaf chlorosis was the best criterion for detecting biotypic variation in D. noxia on cereals; however, the differing mechanisms of resistance expressed by these cereals makes it important to consider other plant and insect factors. Each plant entry responded differently to the D. noxia isolates. Seven of the eight aphid isolates had unique virulence profiles across entries indicating a high degree ofbiotypic diversity. Moreover, isolates differed biotypically in countries where more than one isolate was collected (France and former USSR). An isolate from the former USSR was the most virulent, whereas an isolate from Turkey was the least virulent across all plant entries. Discriminant analysis showed that the U.S. isolate was most similar to a French isolate. The entries that performed best against the D. !loxia collection were the resistant triticales PI 386148 and PI 386156 and the resistant barley PI 366450. However, resistant plant germplasm will have geographical limits because of biotypic variation in D. noxia.
Multiview RGB-D Dataset for Object Instance Detection (2016)

This paper presents a new multi-view RGB-D dataset of nine kitchen scenes, each containing several objects in realistic cluttered environments including a subset of objects from the BigBird dataset. The viewpoints of the scenes are densely sampled and objects in the scenes are annotated with bounding boxes and in the 3D point cloud. Also, an approach for detection and recognition is presented, which is comprised of two parts: (i) a new multi-view 3D proposal generation method and (ii) the development of several recognition baselines using AlexNet to score our proposals, which is trained either on crops of the dataset or on synthetically composited training images. Finally, we compare the performance of the object proposals and a detection baseline to the Washington RGB-D Scenes (WRGB-D) dataset and demonstrate that our Kitchen scenes dataset is more challenging for object detection and recognition. The dataset is available at: http://cs.gmu.edu/~robot/gmu-kitchens.html.
Design of a Metamaterial Bandpass Filter Using ZOR of the Modified Circular Mushroom Structure (2010)

본 논문에서는 변형된 원형 버섯 구조의 메타 재질을 이용하여 새로운 대역 통과 여파기의 설계법을 제안한다. 0차 공진(Zeroth-Order Resonance: ZOR) 특성을 보이는 반원 형태의 버섯 구조 셀을 공진기로 이용하며, 각각의 이웃하는 0차 공진기 사이에 갭을 두어 용량성 결합을 유도한다. 제안된 메타 재질 대역 통과 여파기 설계법은 회로 해석 및 3차원 모의 실험과 측정을 통하여 해석 및 설계 목표와 비교 분석되어 그 타당성을 증명하였다. 0차 공진의 특수한 전계 분포 및 분산도를 통하여 메타 재질임을 증명하였으며, 대역 통과 여파기의 소형화에 대하여도 논의된다. In this paper, the design of a new bandpass filter based on the modified circular mushroom metamaterial structure is proposed. In detail, half circular mushroom cells are used as the zeroth order resonators(ZOR), and an intermediate gap is adopted to introduce the coupling between neighboring ZOR resonators. The proposed bandpass filter design is validated by the circuit and 3D EM simulations and measurements compared to the target specifications, and the metamaterial properties are proved by the ZOR field distributions and dispersion diagram. Also, the effect of size reduction is addressed.
The Liver Tumor Segmentation Benchmark (LiTS) (2022)

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International Conferences on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2017 and 2018. The image dataset is diverse and contains primary and secondary tumors with varied sizes and appearances with various lesion-to-background levels (hyper-/hypo-dense), created in collaboration with seven hospitals and research institutions. Seventy-five submitted liver and liver tumor segmentation algorithms were trained on a set of 131 computed tomography (CT) volumes and were tested on 70 unseen test images acquired from different patients. We found that not a single algorithm performed best for both liver and liver tumors in the three events. The best liver segmentation algorithm achieved a Dice score of 0.963, whereas, for tumor segmentation, the best algorithms achieved Dices scores of 0.674 (ISBI 2017), 0.702 (MICCAI 2017), and 0.739 (MICCAI 2018). Retrospectively, we performed additional analysis on liver tumor detection and revealed that not all top-performing segmentation algorithms worked well for tumor detection. The best liver tumor detection method achieved a lesion-wise recall of 0.458 (ISBI 2017), 0.515 (MICCAI 2017), and 0.554 (MICCAI 2018), indicating the need for further research. LiTS remains an active benchmark and resource for research, e.g., contributing the liver-related segmentation tasks in http://medicaldecathlon.com/. In addition, both data and online evaluation are accessible via https://competitions.codalab.org/competitions/17094.
Pterostilbene, a bioactive component of blueberries, suppresses the generation of breast cancer stem cells within tumor microenvironment and metastasis via modulating NF‐κB/microRNA 448 circuit (2013)

Pterostilbene effectively suppresses the generation of CSCs and metastatic potential under the influence of M2 TAMs via modulating EMT associated signaling pathways, specifically NF-κB/miR488 circuit. Thus, pterostilbene could be an ideal anti-CSC agent in clinical settings.