gebhart/patrepeval huggingface dataset:
Metabolic syndrome and synbiotic targeting of the gut microbiome (2021)

Metabolic syndrome (MetS), a global epidemic induced by poor dietary habits refers to a complex metabolic disorder that includes, among others, alterations in the gut microbiome. Because of high costs associated with long-term management of MetS, development of non-pharmacological approaches has attracted great attention from food companies. Generation of synbiotics is one promising strategy to ameliorate various aspects related to MetS. However, high-quality interventional clinical trials addressing the effects of synbiotics are still rare. In this review, we evaluate the most recent knowledge on the effects of synbiotics in human subjects with different metabolic manifestations of MetS.
Studies of biologically active constituents of Verhascum eremobium Murb. and its induction resistance against some diseases of cucumber. (2010)

he effect of total alcoholic extract of Verbascum eremobium Murb (family Scrophulariaceae) and its different successive fractions (ether, chloroform, ethyl acetate and butanol) were studied on the induction of systemic resistance in cucumber against powdery mildew, root-rot and wilt diseases under greenhouse and field conditions during summer seasons of 2006& 2007. Six flavonoid glycosides and three phenolic acids were isolated using chromatographic methods from the most effective fractions (butanolic and ethereal fractions, respectively). These compounds were identified as 7,3-,4- trimethoxyluteolin, vicenin II, orientin, vitexin, luteolin-5-glucoside,6-hydroxy luteolin-7-glucoside, gallic acid, P-hydroxybenzoic acid and 3,5-dihydroxy-1-phenylpropene. Efficiency of these compounds as inducers and antifungal activity were evaluated. Butanolic, ethereal and total alcoholic extracts of Verbascum eremobium showed antifungal activity against Pythium ultimum, Rhizoctonia solani, Fusarium solani and Fusarium oxysporum in vitro. Cucumber leaves sprayed with 2000 ppm of butanolic and ethereal extracts of Verbascum eremobium induced resistance to powdery mildew caused by Sphaerotheca fuligineaunder greenhouse and field conditions. Cucumber seedlings soaked in 2000 ppm of butanolic and ethereal extracts of Verbascum eremobium before planting induced resistance to root–rot disease caused by Pythium ultimum, Fusarium solaniand Rhizoctonia solani as well as wilt disease caused by Fusarium oxysporum. Activity of chitinase and peroxidase associated with induction of resistance were increased by butanolic and ethereal extracts treatment . Furthermore, they stimulated the accumulation of phenolic compounds of cucumber.
Statistical modeling of THz scatter channels (2015)

A two-dimensional (2-D) geometrical propagation model for wideband terahertz (THz) indoor communications is proposed. Based on the geometrical model, a parametric reference model for wideband THz multipath fading channels is developed. From the reference model, the corresponding power delay profile is derived and compared with measured data. The results show good agreement between measured and simulated power delay spectra.
Evaluation of autogenous free full thickness, split thickness and pinch skin grafts in dogs (1995)

Comparison between various autogenous free skin grafts in dogs is described. Pinch grafts gave the best survival results as compared to the full thickness and split thickness grafts as judged clinically and histomorphologically. The full thickness grafts had a poor survival rate but the cosmetic appearance was better as compared to split thickness and pinch grafts.
Spatial Ability in Organic Chemistry : Can Virtual and Augmented Reality be Valuable? (2019)

In this paper, the roles of digital technologies as Virtual Reality (VR), and Augmented Reality (AR), are discussed to explore how biotechnology engineering students develop their spatial ability in organic chemistry. We have, through stereochemistry workshops, followed how students, in specific, visualise and rotate molecular representations and how the use of digital tools influences the students’ interest.
9 Telomeres and Aging (1995)

More than 30 years ago, Hayflick first described the limited replicative capacity of normal human fibroblasts in culture as a manifestation of cellular senescence (for review, see Hayflick 1965; Goldstein 1990). In this process, the majority of cells in a population fail to divide in response to a variety of normal growth stimuli after a characteristic number of divisions, but they do not die. Instead, they remain metabolically active, but with an aberrant pattern of gene expression (see West et al. 1989). Numerous other somatic cell types, including epithelial cells, endothelial cells, myoblasts, astrocytes, and lymphocytes, have also shown evidence of a clock that limits their division capacity (Stanulis Praeger 1987; Harley 1988). This clock appears to utilize cell divisions as the unit of time rather than chronological or metabolic age (Dell’Orco et al. 1973; Goldstein and Singal 1974; Harley and Goldstein 1978) and hence has been called a “mitotic clock.” Although the maximum division capacity in culture of a human somatic cell population from a young, normal individual varies significantly from donor to donor and cell type to cell type, it typically falls in the range of 50–100. This limit decreases as a function of donor age, presumably reflecting the replicative history of the cells in vivo. Other vertebrate species, although less well studied, also demonstrate a limited proliferative capacity for somatic cells, and a positive correlation can be drawn between species longevity and cell life span (Goldstein 1974; Rohme 1981). These data, together with the plausible hypothesis...
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network (2019)

Odometry is of key importance for localization in the absence of a map. There is considerable work in the area of visual odometry (VO), and recent advances in deep learning have brought novel approaches to VO, which directly learn salient features from raw images. These learning-based approaches have led to more accurate and robust VO systems. However, they have not been well applied to point cloud data yet. In this work, we investigate how to exploit deep learning to estimate point cloud odometry (PCO), which may serve as a critical component in point cloud-based downstream tasks or learning-based systems. Specifically, we propose a novel end-to-end deep parallel neural network called DeepPCO, which can estimate the 6-DOF poses using consecutive point clouds. It consists of two parallel sub-networks to estimate 3-D translation and orientation respectively rather than a single neural network. We validate our approach on KITTI Visual Odometry/SLAM benchmark dataset with different baselines. Experiments demonstrate that the proposed approach achieves good performance in terms of pose accuracy.
A graph-based approach to diploid genome assembly (2018)

Supplementary data are available at Bioinformatics online.
Measuring and Extracting Activity from Time Series Data (2020)

This report summarizes the results of an LDRD focused on developing and demonstrating statistically rigorous methods for analyzing and comparing complex activities from remote sensing data. Identifying activity from remote sensing data, particularly those that play out over time and span multiple locations, often requires extensive manual effort because of the variety of features that describe the activity and the required domain expertise. Our results suggest that there are some hidden challenges in extracting and representing activities in sensor data. In particular, we found that the variability in the underlying behaviors can be difficult to overcome statistically, and the report identifies several examples of the issue. We discuss key lessons learned in the context of the project, and finally conclude with recommendations on next steps and future work.
The myth of the double-blind review? (2003)

Prior studies have questioned the degree of anonymity of the double-blind review process for scholarly research articles. For example, one study based on a survey of reviewers concluded that authors often could be identified by reviewers using a combination of the author's reference list and the referee's personal background knowledge. For the KDD Cup 2003 competition's "Open Task," we examined how well various automatic matching techniques could identify authors within the competition's very large archive of research papers. This paper describes the issues surrounding author identification, how these issues motivated our study, and the results we obtained. The best method, based on discriminative self-citations, identified authors correctly 40--45% of the time. One main motivation for double-blind review is to eliminate bias in favor of well-known authors. However, identification accuracy for authors with substantial publication history is even better (60% accuracy for the top-10% most prolific authors, 85% for authors with 100 or more prior papers).
Evaluating a push–pull strategy for management of Drosophila suzukii Matsumura in red raspberry (2017)

Push-pull treatments negatively affected D. suzukii infestation in both laboratory and field experiments. The reduction in oviposition observed in laboratory experiments was based on the additive effect of push and pull components acting on a finite population, while the reduction observed in field experiments appeared to be mainly based on the effect of pull components. We discuss potential underlying reasons for the discrepancy results and suggest potential improvements. © 2017 Society of Chemical Industry.
US Incidence of Late-Preterm Steroid Use and Associated Neonatal Respiratory Morbidity After Publication of the Antenatal Late Preterm Steroids Trial, 2015–2017 (2022)

(Abstracted from JAMA Netw Open 2022;5:e2212702) In 2016, the antenatal late preterm steroids (ALPS) trial found that corticosteroids reduced the risk of respiratory complications in late-preterm neonates by 20%. The publication of this large-scale randomized clinical trial built upon previous findings that the antenatal administration of steroids decreased neonatal respiratory morbidity.
HLA Based Collaborative Simulation with MATLAB Seamlessly Embedded (2012)

In order to build multi-domain collaborative simulation systems, the method of making MATLAB programs join into HLA/RTI based distributed interaction simulation system is need to be studied. Aiming at giving full play to the advantages of MATLAB in engineering computing and visualization, improving the efficiency of collaborative simulation systems, this paper proposed a method making MATLAB programs and SIMULINK modules seamlessly join into HLA/RTI based simulation system. The principles and designs of the main modules are elaborated, and the codes automatic generation orienting the method is also introduced. The demonstrations and testing results show that the method could fully exert the simulation functions of MATLAB, and has advantage in simulation efficiency over existing methods.
Conversion of low-affinity interleukin 2 receptors to a high-affinity state following fusion of cell membranes. (1986)

The cellular receptors for interleukin 2 (IL-2) exist in at least two forms, one with a particularly high affinity and a second, more numerous class, with a much lower affinity for IL-2. Indirect evidence suggests that both classes of receptors use the same p55 glycoprotein as their ligand-binding component. L cells transfected with cDNA encoding this protein, however, displayed only low-affinity IL-2 binding. To determine if such receptors could be converted to a high-affinity state, L-cell membranes containing the murine p55 protein were fused with membranes from human T cells displaying high-affinity receptors. The anti-Tac antibody was used to block ligand binding to human p55 on the fusion product. The results showed that a fraction of the murine p55 chains were converted to a dramatically higher affinity following fusion. Fusion of the L-cell membranes with themselves or with membrane preparations from human T-cell lines lacking the IL-2 receptor resulted in little or no affinity modulation. One explanation of the results is that cofactors present in receptor-positive T-cell lines crossed species lines and combined with the murine p55 chain to create "high-affinity" binding sites. Thus, depending upon its environment, the same p55 molecule can apparently form either a low- or high-affinity IL-2 receptor.
Peroxidase-incorporated polypyrrole membrane electrodes (1992)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTPeroxidase-incorporated polypyrrole membrane electrodesTetsu. Tatsuma, Masayuki. Gondaira, and Tadashi. WatanabeCite this: Anal. Chem. 1992, 64, 10, 1183–1187Publication Date (Print):May 15, 1992Publication History Published online1 May 2002Published inissue 15 May 1992https://doi.org/10.1021/ac00034a019RIGHTS & PERMISSIONSArticle Views260Altmetric-Citations114LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (675 KB) Get e-Alerts Get e-Alerts
The presence or absence alone of miRNA isoforms (isomiRs) successfully discriminate amongst the 32 TCGA cancer types (2016)

Previously, we demonstrated that miRNA isoforms (isomiRs) are constitutive and their expression profiles depend on tissue, tissue state, and disease subtype. We have now extended our isomiR studies to The Cancer Genome Atlas (TCGA) repository. Specifically, we studied whether isomiR profiles can distinguish amongst the 32 cancers. We analyzed 10,271 datasets from 32 cancers and found 7,466 isomiRs from 807 miRNA hairpin-arms to be expressed above threshold. Using the top 20% most abundant isomiRs, we built a classifier that relied on “binary” isomiR profiles: isomiRs were simply represented as ‘present’ or ‘absent’ and, unlike previous methods, all knowledge about their expression levels was ignored. The classifier could label tumor samples with an average sensitivity of 93% and a False Discovery Rate of 3%. Notably, its ability to classify well persisted even when we reduced the set of used features (=isomiRs) by a factor of 10. A counterintuitive finding of our analysis is that the isomiRs and miRNA loci with the highest ability to classify tumors are not the ones that have been attracting the most research attention in the miRNA field. Our results provide a framework in which to study cancer-type-specific isomiRs and explore their potential uses as cancer biomarkers
Azaditerpenoids. I (1954)

Nitration of methyl dehydroabietate with conc. nitric acid in acetic anhydride results in the formation of a 8-nitro compound, m.p. 193-194°, [α]D25: +94° (acetone), and a 6-nitro compound, m.p. 135-137°, [α]D26: +80° (alcohol). The 6-nitro compound can easily be reduced to the corresponding 6-amino compound by catalytic reduction with palladium-carbon but the 8-nitro compound is resistant to this reduction. The condensation product obtained by heating at 100° an equimolar amount of methyl 6-aminodehydroabietate and ethyl ethoxymethylenemalonate was boiled in Dowtherm oil from which a compound, C27H35O5N, of prisms, m.p. 156-158°, was obtained. Since the ultraviolet absorption spectrum of this substance is similar to that of 3-carbethoxy-4-hydroxyquinoline, the structure of this crystalline substance was assumed to be the corresponding derivative of 3-carbethoxy-4-hydroxyquinoline. The yield of this substance was extremely poor, being about 5% of the theoretical amount.
Multicomponent Access to Functionalized Mesoionic Structures Based on TFAA Activation of Isocyanides: Novel Domino Reactions (2008)

Abstract The reactions of azines (isoquinolines, pyridine) with TFAA and isocyanides in a new domino process yield mesoionic acid fluorides with an imidazo[1,2‐ a ]azine core. This multicomponent reaction has a general character, tolerating a wide range of substitution patterns on each component, and displays an unprecedented arrangement of reaction pathways. The protocol allows the incorporation of a fourth synthetic input by the reaction of a suitable nucleophile (alcohols, thiols, amines) with the acid fluoride moiety.(© Wiley‐VCH Verlag GmbH &amp; Co. KGaA, 69451 Weinheim, Germany, 2009)
Influence of the alkali metal cation in solution on the electroluminescence of a zinc oxide electrode during persulfate reduction (1986)

ADVERTISEMENT RETURN TO ISSUEArticleNEXTInfluence of the alkali metal cation in solution on the electroluminescence of a zinc oxide electrode during persulfate reductionDenis Fichou and Jean KossanyiCite this: J. Phys. Chem. 1986, 90, 8, 1485–1488Publication Date (Print):April 1, 1986Publication History Published online1 May 2002Published inissue 1 April 1986https://pubs.acs.org/doi/10.1021/j100399a001https://doi.org/10.1021/j100399a001research-articleACS PublicationsRequest reuse permissionsArticle Views73Altmetric-Citations5LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access options Get e-Alerts
Multi-Class Flow Aggregation for IPTV Content Delivery in IP Over Optical Core Networks (2009)

It is widely believed that IPTV will be one of the major applications in future IP networks and that IP over optical networks will be a major component of the next generation Internet. However, it is not efficient to map a single multicast IPTV flow into one light tree because the required bandwidth of an IPTV flow is usually much less than the capacity of a light-tree. Furthermore, pay-per-view or secure flows should be sent only to authorized users. In this paper, we study the problem of multi-class multicast flow aggregation with the constraint that secure programs are sent to authorized nodes. We first describe the problem and prove it to be NP-complete. We then formulate an integer linear program (ILP) and give results for small scale problems. Heuristic algorithms are presented, and results show that our heuristics achieve good results in both small and large scale problems. Also simulations show that the ratio of secure programs over total programs has great impact on the final aggregation results.
Giant Drosophila neurons differentiated from cytokinesis‐arrested embryonic neuroblasts (1990)

The relative contributions of the intrinsic and extrinsic factors in determining neuronal differentiation are not fully understood yet. We found that isolated neuroblasts from Drosophila gastrulae were able to differentiate neuron-specific properties in culture even when cell divisions were inhibited. The resultant giant multinucleated neurons displayed thickened neurites with a variety of distinct branching patterns. Neuronal antigens were expressed as in normal cultured neurons, and action potentials could be evoked by current injection within two days after plating. These results indicate that the factors for initiating specific differentiation programs for basic neuronal form and function are present in a neuroblast already. The cells of increased sizes in this culture system are more accessible to physiological and cell biological analyses and could facilitate future studies of the Drosophila nervous system.
Wxpython in Action (2006)

How to build a state-of-the-art GUI using the wxPython toolkit. * co-authored by the toolkit's developer, Robert Dunn * the only published source for the wxPython toolkit * complete resource, including reference, tutorial and many unique examples of working with the code. Because they are often large and complex, GUI programming toolkits can be hard to use. xyPython is a combination of the Python programming language and the wxWidgets toolkit, which allows programmers to create programs with a robust, highly functional graphical user interface, simply and easily. wxPython combines the power of an exceptionally complete user interface toolkit with an exceptionally flexible programming language. The result is a toolkit that is unique in the ease with which complex applications can be built and maintained. wxPython in Action is a complete guide to the wxPython toolkit, containing a tutorial for getting started, a guide to best practices and a reference to wxPythons' extensive widget set. After an easy introduction to wxPython concepts and programming practices, the book takes an in-depth tour of when and how to use the bountiful collection of widgets offered by wxPython. All features are illustrated with useful code examples and reference tables are included for handy lookup of an objects properties, methods and events. The book enables developers to learn wxPython quickly and remains a valuable resource for future work.
Sign Language Support System for Viewing Sports Programs (2017)

To expand the services that are based on Japanese Sign Language (JSL) for deaf and hard of hearing people, we developed a support system for viewing sports program. The system provides sign language computer graphics (CG) animations and other auxiliary information such as text, image, and notifications automatically generated from game metadata. Results obtained from gathered opinions showed that the system is effective for understanding the situation when a game is interrupted.