Info:TurboReverse is a 3ds Max modifier that has the opposite effect of TurboSmooth. It will recreate the subdivision levels of an already subdivided mesh with 100% precision maintaining the existing UVs.It is the successor of Subdivision Reversion maxscript.
It is now 100 times faster, being a native 3ds Max plugin, not a maxscript anymore.It has the ability to reverse just parts of your models based on your selection.It can reverse multiple iterations at a time.Here are some of the benefits you get:
ATACseqTFEA Assay for Transpose-AccessibleChromatin using sequencing (ATAC-seq) is a technique to assessgenome-wide chromatin accessibility by probing open chromatin withhyperactive mutant Tn5 Transposase that inserts sequencing adaptersinto open regions of the genome. ATACseqTFEA is an improvement ofthe current computational method that detects differential activityof transcription factors (TFs). ATACseqTFEA not only uses thedifference of open region information, but also (or emphasizes) thedifference of TFs footprints (cutting sites or insertion sites).ATACseqTFEA provides an easy, rigorous way to broadly assess TFactivity changes between two conditions.
crisprDesign Provides a comprehensivesuite of functions to design and annotate CRISPR guide RNA (gRNAs)sequences. This includes on- and off-target search, on-targetefficiency scoring, off-target scoring, full gene and TSScontextual annotations, and SNP annotation (human only). Itcurrently support five types of CRISPR modalities (modes ofperturbations): CRISPR knockout, CRISPR activation, CRISPRinhibition, CRISPR base editing, and CRISPR knockdown. All types ofCRISPR nucleases are supported, including DNA- and RNA-targetnucleases such as Cas9, Cas12a, and Cas13d. All types of baseeditors are also supported. gRNA design can be performed onreference genomes, transcriptomes, and custom DNA and RNAsequences. Both unpaired and paired gRNA designs are enabled.
factR factR contain tools to process andinteract with custom-assembled transcriptomes (GTF). At its core,factR constructs CDS information on custom transcripts andsubsequently predicts its functional output. In addition, factR hastools capable of plotting transcripts, correcting chromosome andgene information and shortlisting new transcripts.
MetaPhOR MetaPhOR was developed to enableusers to assess metabolic dysregulation using transcriptomic-leveldata (RNA-sequencing and Microarray data) and producepublication-quality figures. A list of differentially expressedgenes (DEGs), which includes fold change and p value, from DESeq2or limma, can be used as input, with sample size for MetaPhOR, andwill produce a data frame of scores for each KEGG pathway. Thesescores represent the magnitude and direction of transcriptionalchange within the pathway, along with estimated p-values.MetaPhORthen uses these scores to visualize metabolic profiles within andbetween samples through a variety of mechanisms, including: bubbleplots, heatmaps, and pathway models.
MSstatsShiny MSstatsShiny is an R-Shinygraphical user interface (GUI) integrated with the R packagesMSstats, MSstatsTMT, and MSstatsPTM. It provides a point and clickend-to-end analysis pipeline applicable to a wide variety ofexperimental designs. These include data-dependedent acquisitions(DDA) which are label-free or tandem mass tag (TMT)-based, as wellas DIA, SRM, and PRM acquisitions and those targetingpost-translational modifications (PTMs). The applicationautomatically saves users selections and builds an R script thatrecreates their analysis, supporting reproducible data analysis.
RgnTX RgnTX allows the integration oftranscriptome annotations so as to model the complex alternativesplicing patterns. It supports the testing of transcriptomeelements without clear isoform association, which is often the realscenario due to technical limitations. It involves functions thatdo permutaion test for evaluating association between features andtranscriptome regions.
SpatialFeatureExperiment Anew S4 class integrating Simple Features with the R package sf tobring geospatial data analysis methods based on vector data tospatial transcriptomics. Also implements management of spatialneighborhood graphs and geometric operations. This pakage buildsupon SpatialExperiment and SingleCellExperiment, hence methods forthese parent classes can still be used.
SpotClean SpotClean is a computationalmethod to adjust for spot swapping in spatial transcriptomics data.Recent spatial transcriptomics experiments utilize slidescontaining thousands of spots with spot-specific barcodes that bindmRNA. Ideally, unique molecular identifiers at a spot measurespot-specific expression, but this is often not the case due tobleed from nearby spots, an artifact we refer to as spot swapping.SpotClean is able to estimate the contamination rate in observeddata and decontaminate the spot swapping effect, thus increase thesensitivity and precision of downstream analyses.
BioPlex The BioPlex package implements accessto the BioPlex protein-protein interaction networks and relatedresources from within R. Besides protein-protein interactionnetworks for HEK293 and HCT116 cells, this includes access to CORUMprotein complex data, and transcriptome and proteome data for thetwo cell lines. Functionality focuses on importing the various dataresources and storing them in dedicated Bioconductor datastructures, as a foundation for integrative downstream analysis ofthe data.
SFEData Example spatial transcriptomicsdatasets with Simple Feature annotations asSpatialFeatureExperiment objects. Technologies include Visium,slide-seq, Nanostring CoxMX, Vizgen MERFISH, and 10X Xenium.Tissues include mouse skeletal muscle, human melanoma metastasis,human lung, breast cancer, and mouse liver.
Improve pcoverageByTranscript() implementation. The function now usesa chunking strategy to handle bigger CompressedGRangesList objectsandto reduce memory footprint. Note that even with this improvement, thefunction is still not very efficient.
Halocoryza Alluaud 1919, sea-side beetles of the Indian, Atlantic (sensu lato), and Pacific Oceans: a generic synopsis and description of a remarkable new species from Baja California Sur, México (Coleoptera, Carabidae, Scaritini, Clivinina)
Energy Research Abstracts (ERA) provides abstracting and indexing coverage of all scientific and technical reports, journal articles, conference papers and proceedings, books, patents, theses, and monographs originated by the US Department of Energy, its laboratories, energy centers, and contractors. ERA also covers other energy information prepared in report form by federal and state government organizations, foreign governments, and domestic and foreign universities and research organizations. ERA coverage of non-report literature is limited to that generated by Department of Energy activity. ERA is comprehensive in its subject scope, encompassing the DOE's research, development, demonstration, and technological programs resulting from its broadmore » charter for energy sources, conservation, safety, environmental impacts, and regulation. Corporate, author, subject, report number, and contract number indexes are included. ERA is available on an exchange basis to universities, research intitutions, industrial firms, and publishers of scientific information. Federal, state, and municipal agencies concerned with energy development, conservation, and usage may obtain ERA free of charge. Inquiries should be directed to the Technical Information Center, P.O. Box 62, Oak Ridge, Tennessee 37830. ERA is available to the public on a subscription basis for 24 semimonthly issues including a semiannual index and an annual index. All citations announced in ERA exist as separate records in the DOE Energy Data Base.« less
Les varietes de Calabi-Yau permettent une description relativement simple et assez juste de la realite. Recemment, de nombreuses equipes de recherche s'y sont interessees, en particulier P. Candelas, A. M. Dale, C. A. Lutken et R. Schimmrigk (13) qui ont propose une liste de 7868 configurations distinctes. Toutefois, nous croyons que certaines des techniques qui sont exploitees pour construire cette liste ne sont pas suffisamment justifiees et ont pour effet de soustraire a nos investigations bon nombre de configurations potentiellement interessantes. Ainsi, nous produisons, sans utiliser ces techniques simplificatrices, une liste de 97360 configurations. Ensuite, dans le cadre des modeles a 4 generations, nous appliquons un ensemble de criteres, fondes sur les symetries discretes, pour delimiter le domaine des configurations phenomenologiquement viables. Finalement, apres avoir fixe notre choix sur une configuration particuliere, nous essayons de montrer tout l'interet physique des varietes de Calabi-Yau en exposant certains aspects de la phenomenologie a basse energie, notamment les nombres quantiques, les spectres fermioniques, la brisure intermediaire du groupe de jauge et la duree de vie du proton.
We have developed a self-consistent simulation code based on object-oriented model of plasma (OOMP) for solving the Vlasov/Poisson (V/P), Vlasov/Maxwell (V/M), Bhatnagar-Gross-Krook (BGK) as well as Fokker-Planck (FP) kinetic equations. The application of an object-oriented approach (OOA) to simulation of plasmas and plasma-like media by means of splitting methods permits to uniformly describe and solve the wide circle of plasma kinetics problems, including those being very complicated: many-dimensional, relativistic, with regard for collisions, specific boundary conditions etc. This paper gives the brief description of possibilities of the SUR code, as a concrete realization of OOMP.
An abstract represents a short summary of key elements of the manuscript. The purpose of this essay is to discuss the function, contents, and types of manuscript abstracts. The essay concludes with a few tips for authors to writing effective abstracts.
The aims of this study were to evaluate the quality of randomized controlled trial (RCT) abstracts published in the field of oncology and identify characteristics associated with better reporting quality. All phase III trials published during 2005-2007 [before Consolidated Standards of Reporting Trials (CONSORT)] and 2010-2012 (after CONSORT) were searched electronically in MEDLINE/PubMed and retrieved for review using an 18-point overall quality score (OQS) for reporting based on the CONSORT for Abstract guidelines. Descriptive statistics followed by multivariate linear regression were used to identify features associated with improved reporting quality. The mean OQS was 8.2 (range: 5-13; 95% confidence interval (CI): 8.0, 8.3) and 9.9 (range: 5-18; 95% CI: 9.7, 10.2) in the pre- and post-CONSORT periods, respectively. The method for random sequence generation, allocation concealment, blinding details, and funding sources were missing in pre-CONSORT abstracts and insufficiently reported ( 2b1af7f3a8