gebhart/patrepeval huggingface dataset:
Low Rank and Sparse Decomposition of Ultrasound Color Flow Images for Suppressing Clutter in Real-Time (2019)

In this work, a novel technique for real-time clutter rejection in ultrasound Color Flow Imaging (CFI) is proposed. Suppressing undesired clutter signal is important because clutter prohibits an unambiguous view of the vascular network. Although conventional eigen-based filters are potentially efficient in suppressing clutter signal, their performance is highly dependent on proper selection of a clutter to blood boundary which is done manually. Herein, we resolve this limitation by formulating the clutter suppression problem as a foreground-background separation problem to extract the moving blood component. To that end, we adapt the fast Robust Matrix Completion (fRMC) algorithm, and utilize the in-face extended Frank-Wolfe method to minimize the rank of the matrix of ultrasound frames. Our method automates the clutter suppression process, which is critical for clinical use. We name the method RAPID (Robust mAtrix decomPosition for suppressIng clutter in ultrasounD) since the automation step can substantially streamline clutter suppression. The technique is validated with simulation, flow phantom and two sets of in-vivo data. RAPID code as well as most of the data in this paper can be downloaded from RAPID.sonography.ai.
Glycoconjugate (2019)

Recommendations are given concerning the terminology of methods of bioanalytical chemistry. With respect to dynamic development particularly in the analysis and investigation of biomacromolecules, terms related to bioanalytical samples, enzymatic methods, immunoanalytical methods, methods used in genomics and nucleic acid analysis, proteomics, metabolomics, glycomics, lipidomics, and biomolecules interaction studies are introduced.
Erratum for Ambati et al., “Dectin-1-Targeted Antifungal Liposomes Exhibit Enhanced Efficacy” (2019)

Volume 4, no. 1, e00025-19, 2019, [https://doi.org/10.1128/mSphere.00025-19][1]. Page 1: This article was published on 13 February 2019 with the third author's surname misspelled. The byline was updated in the current version, posted on 25 February 2019.

In the 2nd paragraph of the Materials and
A Novel Approach to Trust based Identification of Leaders in Social Networks (2016)

Recommender Systems has been a research hotspot in recent times as an efficient information filtering tool, to filter out useful required information from ever expanding web. The characteristics of social networks play a very important role towards behavioralmodeling of a trust network based Recommender System (RS). Similar to real world, in a social network also, it is important to objectively identify a member with high reputation who is heavily trusted by many members and hence his suggestions and inputs are most trust worthy for the whole community; that is, objective identification of leader is extremely important. In this paper, we propose a method to objectively identify leaders in a social network, we introduce new terms: Leadership score, prominence trust, peer inclusive factor, trust spread factor, trust maturity factor and trust penetration factors to portray a member more appropriately in a social network. We have calculated the leadership score using the real world dataset. Leadership score is taken as a linear additive function of prominence trust, engagement trust and peer inclusive factors with different weightage values. In our experiment, we have considered that leaders not only are followed by others, they are also socially engaged from their end to others in the social network. Prominence trust is a detailed characterization to get more accurate value of trust. Along with overall trust score, it is imperative to analyze more attributes to derive a more objective interpretation of the same. These attributes take care of trust score/reputation over period of time, number of trusting members, peer level interactions and also absolute score. To validate our leadership model in social network, we remove top 5%, 10% and top 20% of the members with high ‘leadership score’ and findout the reduction in the overall interactions. As further improvements to this work, a social network to be built with users and items and collect the data using positive and negative responses; use multiprogramming concepts to determine the optimum function for leadership score. This will aid towards further analysis and fine tuning of the models. Keywords: Data Mining, Recommender System, Social Network, Trust, Web Mining
Abstract 1442: Chimeric antigen receptor T cell therapy targeting ICAM-1 in gastric cancer (2019)

Introduction:Despite advances in treatment, gastric cancer (GC) remains among the most fatal malignancies. Intercellular adhesion molecule-1 (ICAM-1) is overexpressed and associated with various cancers, including GC. We developed a third-generation chimeric antigen receptor (CAR) targeting ICAM-1 (ICAM-1-CAR) and investigated ICAM-1 as a immunotherapeutic target for CAR T therapy in GC.Methods:We investigated ICAM-1 expression in tissues of curatively resected GC patients (n=134) by immunohistochemical staining to determine its prognostic value. Effector to target assays were performed with ICAM-1-CAR T cells co-cultured with 8 GC cell lines with varying levels of ICAM-1 expression to investigate specific target cell death. We created a firefly luciferase-expressing human GC model in mice to measure tumor growth and killing by whole body bioluminescence imaging. To find the best treatment route and optimal dose of T cells in GC mice model, ICAM-1-CAR was injected via tail vein and intraperitoneal administration (IP) at two different doses, i.e., low dose (1 million CAR T) and high dose (10 million live T cells).Results:The ICAM-1 expression was higher in advanced stages (22.2% in stage II vs. 48.8% in stage III, p=0.002) and the patients with high ICAM-1 expression showed significantly poor survival (disease free survival, hazard ration [HR], 4.55, p<0.001; overall survival, HR, 3.89, p<0.001). The efficacy of ICAM-1-CAR T cells in vitro showed a strong correlation with the level of ICAM-1 expression in target cells, i.e., faster killing of GC with higher ICAM-1 expression. ICAM-1-CART facilitated regression of tumor in MKN-28 xenograft IP model. Additionally, the efficacy of ICAM-1-CAR was more prominent in mice treated with high dose of T cell and IP route. Compared to no treatment, ICAM-1CAR via IP led to tumor reduction that persisted for over 80 days and significantly improved survival without toxicity (p=0.049).Conclusion:ICAM-1 specific CAR T cells demonstrated significant therapeutic efficacy in vitro and in vivo against preclinical GC models. ICAM-1-CAR T cells may be developed into a promising treatment strategy for patients with ICAM-1 positive GC cancers.Citation Format: Minkyu Jung, Marjan Zaman, Ygindra Vedvyas, Xianglan Zhang, Jaclyn E. McCloskey, Yanping Yang, Irene M. Min, Raza Zamegar, Yoon Young Choi, Jae-Ho Cheong, Sung Hoon Noh, Sun Young Rha, Hyun Cheol Chung, Moonsoo M. Jin. Chimeric antigen receptor T cell therapy targeting ICAM-1 in gastric cancer [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 1442.
Robust Profiling of Cytochrome P450s (P450ome) in Notable Aspergillus spp. (2022)

Cytochrome P450s (P450ome) constitute an extended superfamily group of heme-thiolate enzymes identified in all biological domains. P450omes play a critical role in the oxidation of steroids and fatty acids, xenobiotic degradation of hydrophobic compounds, biosynthesis of hormones, and primary and secondary metabolism in organisms. <i>Aspergillus</i> species are among the most economically important fungal organisms in human medicine, industry, and agriculture worldwide. Exploring insight on the genome-wide annotations of cytochrome P450s in <i>Aspergillus</i> species is necessary for their biosynthetic applications. In this present study, we report the identification of 306 cytochrome P450s and their robust profiling in eight notable <i>Aspergillus</i> species (<i>A. carbonarius</i>, <i>A. clavatus</i>, <i>A. flavus</i>, <i>A. fumigatus</i>, <i>A. nidulans</i>, <i>A. niger</i>, <i>A. oryzae,</i> and <i>A. terreus</i>). Based on the evolutionary relationship, the <i>Aspergillus</i> P450s families clustered into 15 clades, with clades V, I, and XIII recording higher percentages (17.3%, 15.00%, and 14.71%, respectively) of Cyp families. Cyps were classified into 120 families 64 clans, and their putative functions were also elucidated. P450s were predicted to be located in 13 subcellular components, but the endoplasm reticulum was the dominant location across the eight <i>Aspergillus</i> species. Cyps genes of <i>Aspergillus</i> species were associated with seven secondary metabolism-related gene clusters. Elucidating the genome-wide annotations of P450s enzymes in <i>Aspergillus</i> species will form vital potential biotechnological tools that could be harnessed for industrial, pharmaceutical, and agricultural use.
Genomic correlates of response to immune checkpoint therapies in clear cell renal cell carcinoma (2018)

Immune checkpoint inhibitors targeting the programmed cell death 1 receptor (PD-1) improve survival in a subset of patients with clear cell renal cell carcinoma (ccRCC). To identify genomic alterations in ccRCC that correlate with response to anti-PD-1 monotherapy, we performed whole-exome sequencing of metastatic ccRCC from 35 patients. We found that clinical benefit was associated with loss-of-function mutations in the <i>PBRM1</i> gene (<i>P</i> = 0.012), which encodes a subunit of the PBAF switch-sucrose nonfermentable (SWI/SNF) chromatin remodeling complex. We confirmed this finding in an independent validation cohort of 63 ccRCC patients treated with PD-1 or PD-L1 (PD-1 ligand) blockade therapy alone or in combination with anti-CTLA-4 (cytotoxic T lymphocyte-associated protein 4) therapies (<i>P</i> = 0.0071). Gene-expression analysis of PBAF-deficient ccRCC cell lines and <i>PBRM1</i>-deficient tumors revealed altered transcriptional output in JAK-STAT (Janus kinase-signal transducers and activators of transcription), hypoxia, and immune signaling pathways. <i>PBRM1</i> loss in ccRCC may alter global tumor-cell expression profiles to influence responsiveness to immune checkpoint therapy.
A life-cycle assessment for eco-redesign of a consumer electronic product (2009)

Life-cycle assessment (LCA) regarding personal electronic products receives little attention, probably due to the fact that most of them are compact in size; hence, the environmental impact per unit is relatively lightweight. In this connection, how to perform eco-design for electronic products in practice with respect to all phases of their life cycle is unclear. However, taking their total (annual) consumption into consideration, the total impact cannot be underestimated. The main objective of this paper is to fill this gap by analysing a personal electronic product from the eco-design point of view. The results are presented in terms of different environmental aspects (like emissions to air) and associated suggestions for eco-redesign. More specifically, this paper aims to: (i) reveal a case study in which LCA is applied to an electronic product. The focus is on how to collect relevant data in this regard; (ii) summarise the results in terms of a variety of environmental impacts so that key items or key issues can be identified and quantified accordingly and (iii) suggest a set of associated eco-redesign options responding to the aforementioned issues. Improvement of the new design is then compared with the original design.; Life-cycle assessment (LCA) regarding personal electronic products receives little attention, probably due to the fact that most of them are compact in size; hence, the environmental impact per unit is relatively lightweight. In this connection, how to perform eco-design for electronic products in practice with respect to all phases of their life cycle is unclear. However, taking their total (annual) consumption into consideration, the total impact cannot be underestimated. The main objective of this paper is to fill this gap by analysing a personal electronic product from the eco-design point of view. The results are presented in terms of different environmental aspects (like emissions to air) and associated suggestions for eco-redesign. More specifically, this paper aims to: (i) reveal a case study in which LCA is applied to an electronic product. The focus is on how to collect relevant data in this regard; (ii) summarise the results in terms of a variety of environmental impacts so that key items or key issues can be identified and quantified accordingly and (iii) suggest a set of associated eco-redesign options responding to the aforementioned issues. Improvement of the new design is then compared with the original design.
Selecting the maximum relevant translated EEG time-frequency features with a minimum redundancy using the mutual information measure for newborn seizure detection and classification (2012)

Background Analyzing the Electroencephalogram (EEG) is a standard approach for detecting newborn seizure. The manual detection of newborn seizure by visual scanning of EEG recordings is time consuming especially with long recordings. It also requires skilled interpreters, i.e. a neurophysiologist, resulting in possible subjective judgment and error. Hence, the EEG signal parameters extracted and analyzed using computer based digital signal processing techniques are highly useful in diagnostics and more suitable for detecting newborn EEG seizures and other abnormalities. Objective This work aims to select the maximum relevant translated EEG time-frequency features with a minimum redundancy to improve the classification accuracy performance of newborn seizure detection and classification systems. Method The automatic newborn EEG seizure detection and classification system includes pre-processing of EEG signals, finding their optimal time-frequency distributions (TFDs), extracting features from the TFDs, and finally allocating the T-F features to the relevant class. Based on this classification system, a new approach is proposed to improve their performance, and includes the following stages: Defining T-F features by translating some relevant time features and/or frequency features in the T-F domain; selecting the maximum relevant translated T-F features with a minimum redundancy using the mutual information measure and using the selected relevant features to characterize and classify different newborn EEG seizures. Results The experimental results show that the selection of a minimum set of relevant translated EEG T-F features according to a combined minimal-redundancy and maximal-relevance criterion significantly improve the performance of the newborn seizure classification system based on the use of T-F features extracted using both signal and image processing techniques, by up to 4% for 100 real newborn EEG segments. The better results are obtained using the modified-B distribution and the spectrogram distribution with the multi-class SVM classifier. Also, the use of the selected features reduces the computation cost of the classification system. Conclusion The improvement obtained is dependent on the choice of relevant translated EEG T-F features. The latter can also be extended and applied to detect other newborn EEG abnormalities.
Ethanol fermentation of raw cassava starch with Rhizopus koji in a gas circulation type fermentor (1985)

Studies have been conducted in a gas circulation type fermentor in order to characterize the ethanol fermentation of uncooked cassava starch with Rhizopus koji. Results showed that ethanol concentration reached 13-14% (v/v) in 4-day broth, and the maximum productivity of ethanol was 2.3 g ethanol/L broth h. This productivity was about 50% compared to the productivity of a glucose-yeast system. Ethanol yield reached 83.5-72.3% of the theoretical yield for the cassava starch used. The fermentor used in the present work has been proven by experiment to be suitable for ethanol fermentation of the broth with solid substrate.
A new mutation delivery system for genome‐scale approaches in Bacillus subtilis (2002)

In Bacillus subtilis, although many genetic tools have been developed, gene replacement remains labour-intensive and not compatible with large-scale approaches. We have developed a new one-step gene replacement procedure that allows rapid alteration of any gene sequence or multiple gene sequences in B. subtilis without altering the chromosome in any other way. This novel approach relies on the use of upp, which encodes uracil phosphoribosyl-transferase, as a counter-selectable marker. We fused the upp gene to an antibiotic-resistance gene to create an 'upp-cassette'. A polymerase chain reaction (PCR)-generated fragment, consisting of the target gene with the desired mutation joined to the upp-cassette, was integrated into the chromosome by homologous recombination, using positive selection for antibiotic resistance. Then, the eviction of the upp-cassette from the chromosome by recombination between short repeated chromosomal sequences, included in the design of the transforming DNA molecule, was achieved by counter-selection of upp. This procedure was successfully used to deliver a point mutation, to generate in-frame deletions with reduced polar effects, and to combine deletions in three paralogous genes encoding two-component sensor kinases. Also, two chromosome regions carrying previously unrecognized essential functions were identified, and large deletions in two dispensable regions were combined. This work outlines a strategy for identifying essential functions that could be used at genome scale.
SNAP Redemptions Contributed to Employment During the Great Recession (2019)

The Supplemental Nutrition Assistance Program (SNAP) provided benefits to an average of more than 46 million recipients per month and accounted for 52 percent of USDA’s spending during fiscal year 2014. Payments under USDA’s Supplemental Nutrition Assistance Program (SNAP) nearly quadrupled between 2001 and 2013, after adjusting for inflation, growing rapidly during and immediately after the Great Recession. Recent ERS research found that SNAP redemptions were associated with increased local employment—with $10,000 of redemptions contributing to 0.4 additional urban jobs and 1.0 additional rural jobs.
Simple models of the impact of overlap in bucket rendering (1998)

Article Free Access Share on Simple models of the impact of overlap in bucket rendering Authors: Milton Chen Computer Systems Laboratory, Stanford University Computer Systems Laboratory, Stanford UniversityView Profile , Gordon Stoll Computer Systems Laboratory, Stanford University Computer Systems Laboratory, Stanford UniversityView Profile , Homan Igehy Computer Systems Laboratory, Stanford University Computer Systems Laboratory, Stanford UniversityView Profile , Kekoa Proudfoot Computer Systems Laboratory, Stanford University Computer Systems Laboratory, Stanford UniversityView Profile , Pat Hanrahan Computer Systems Laboratory, Stanford University Computer Systems Laboratory, Stanford UniversityView Profile Authors Info & Claims HWWS '98: Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardwareAugust 1998 Pages 105–112https://doi.org/10.1145/285305.285318Online:01 August 1998Publication History 18citation158DownloadsMetricsTotal Citations18Total Downloads158Last 12 Months5Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Fast and parallel webpage layout (2010)

The web browser is a CPU-intensive program. Especially on mobile devices, webpages load too slowly, expending significant time in processing a document's appearance. Due to power constraints, most hardware-driven speedups will come in the form of parallel architectures. This is also true of mobile devices such as phones and e-books. In this paper, we introduce new algorithms for CSS selector matching, layout solving, and font rendering, which represent key components for a fast layout engine. Evaluation on popular sites shows speedups as high as 80x. We also formulate the layout problem with attribute grammars, enabling us to not only parallelize our algorithm but prove that it computes in O(log) time and without reflow.
Four-Way Orthomode Waveguide Power Dividers: Subtractive and Additive Manufacturing (2021)

This paper presents two waveguide power dividers in a planar 4-way equiphasic dual-polarization power division configuration operating in the transmit Ku-band (10.7-12.75 GHz). Both concepts are primarily targeted as excitation networks for multiple accesses radiating elements or antenna arrays. The presented solutions are characterized by two different variants that accommodate for different manufacturing processes, namely subtractive manufacturing (SM) and additive manufacturing (AM). Their principal operations are described and finally their RF performance is presented and compared experimentally inter alia. The principal objective is to demonstrate the mechanical complexity of this type of microwave components and how 3D-printing enables its efficient realization via co-design.
Bioavailability of diclofenac potassium at low doses (2004)

Our data indicate that diclofenac-K is rapidly and well absorbed at low dose, and are consistent with a rapid onset of action of the drug. Abbreviations AUC, area under plasma concentration-time curve; C(max), peak plasma concentration; CI, confidence interval; COX, cyclooxygenase; D, dose; F, absolute bioavailability; t(max), time to reach C(max).
New Chromium Complexes for Ethylene Oligomerization:  Extended Use of Tridentate Ligands in Metal-Catalyzed Olefin Polymerization (2004)

A family of chromium complexes bearing tridentate pyridine-based ligands are disclosed as highly active precatalysts for the oligomerization of ethylene. The ligands are comprised of two distinct types: Type 1, in which both ketone groups of 2,6-diacetylpyridine are converted to imines to produce pyridine bisimine NNN ligands; and Type 2, in which only one ketone group of 2,6-diacetylpyridine is condensed with an aniline derivative to give monoimine NNO coordination sets. Ligands of either type are coordinated to chromium(II) or chromium(III) chlorides, and activation of the resultant complexes with methylaluminoxane (MAO) produces highly active ethylene oligomerization and polymerization catalysts. Catalysts of Type 1 (NNN set) generally produce 1-butene when only two ortho alkyl substituents are present but switch to making waxes or polyethylene when the size and/or number of ortho substituents are increased. Catalysts of Type 2 (NNO set) produce waxes and polyethylene under all of the substitution patterns studied. The butene-producing catalysts can make 1-butene with 99.5+% purity, and the wax-producing catalysts make highly linear to moderately branched waxes, depending on the presence of an α-olefin comonomer.
An Observation on the Nest-Building Behavior of the Opossum (1941)

Journal Article An Observation on the Nest-Building Behavior of the Opossum Get access Luther Smith Luther Smith Department of Field Crops, University of Missouri, Columbia Search for other works by this author on: Oxford Academic Google Scholar Journal of Mammalogy, Volume 22, Issue 2, 14 May 1941, Pages 201–202, https://doi.org/10.1093/jmammal/22.2.201 Published: 14 May 1941