74 research outputs found
Obstruenters fonetikk og fonologi i amerikanorsk og norskamerikansk engelsk
Artikkelen er en fĂžrste akustisk undersĂžkelse av sprĂ„klyder i norsk og i noen grad engelsk produsert av norsksprĂ„klige i det Ăžvre Midtvesten. Vi beskriver arbeid vedrĂžrende noen akustiske forskjeller i obstruenter slik de uttales av nedarvingstalere (Ă¹ùĂheritage speakersĂ¹ùĂ). Deres L1 og L2, norsk og amerikansk-engelsk, er begge sprĂ„k som har aspirasjon, men sprĂ„kene skiller seg fonologisk pĂ„ andre mĂ„ter. Vi fokuserer spesielt pĂ„ laryngale trekk, det vil si hvordan distinksjonen mellom konsonanter som er stemt (Ă¹ùĂ
voicedĂ¹ùĂ) og ustemt (Ă¹ùĂ
voicelessĂ¹ùĂ), eller lenis og fortis, blir realisert, samt det nĂŠrt beslektede problemet med kontraster i konsonantlengde i norsk. Hypotesen vĂ„r er i utgangspunktet enkel, men testing viser at den egentlig er mer kompleks: Hypotesen er at bĂ„de norsk og engelsk som blir snakket av norskamerikanske tosprĂ„klige vil vise pĂ„virkning fra det andre sprĂ„ket, men pĂ„ ulikt vis
The data hungry home
It's said that the pleasure is in the giving, not the receiving. This belief is validated by how humans interact with their family, friends and society as well as their gardens, homes, and pets. Yet for ubiquitous devices, this dynamic is reversed with devices as the donors and owners as the recipients. This paper explores an alternative paradigm where these devices are elevated, becoming members of Data Hungry Homes, allowing us to build relationships with them using the principles that we apply to family, pets or houseplants. These devices are developed to fit into a new concept of the home, can symbiotically interact with us and possess needs and traits that yield unexpected positive or negative outcomes from interacting with them. Such relationships could enrich our lives through our endeavours to âfeedâ our Data Hungry Homes, possibly leading us to explore new avenues and interactions outside and inside the home
Menin as a hub controlling mixed lineage leukemia
Mixed lineage leukemia (MLL) fusion protein (FP)âinduced acute leukemia is highly aggressive and often refractory to therapy. Recent progress in the field has unraveled novel mechanisms and targets to combat this disease. Menin, a nuclear protein, interacts with wildâtype (WT) MLL, MLLâFPs, and other partners such as the chromatinâassociated protein LEDGF and the transcription factor CâMyb to promote leukemogenesis. The newly solved coâcrystal structure illustrating the meninâMLL interaction, coupled with the role of menin in recruiting both WT MLL and MLLâFPs to target genes, highlights menin as a scaffold protein and a central hub controlling this type of leukemia. The menin/WT MLL/MLLâFP hub may also cooperate with several signaling pathways, including Wnt, GSK3, and bromodomainâcontaining Brd4ârelated pathways to sustain MLLâFPâinduced leukemogenesis, revealing new therapeutic targets to improve the treatment of MLLâFP leukemias. In MLL fusion proteinâinduced leukemias, menin is a central hub due to its role in recruiting WT MLL and MLLâFPs to target genes. Menin also links CâMyb/LEDGF to the MLL Nâterminus, underscoring menin's central role. Targeting menin may be especially effective due to its hub role in MLL fusion leukemias.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/93527/1/771_ftp.pd
Non-Standard Errors
In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: Non-standard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for better reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants
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The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update
YesGalaxy (https://galaxyproject.org) is deployed globally, predominantly through free-to-use services, supporting user-driven research that broadens in scope each year. Users are attracted to public Galaxy services by platform stability, tool and reference dataset diversity, training, support and integration, which enables complex, reproducible, shareable data analysis. Applying the principles of user experience design (UXD), has driven improvements in accessibility, tool discoverability through Galaxy Labs/subdomains, and a redesigned Galaxy ToolShed. Galaxy tool capabilities are progressing in two strategic directions: integrating general purpose graphical processing units (GPGPU) access for cutting-edge methods, and licensed tool support. Engagement with global research consortia is being increased by developing more workflows in Galaxy and by resourcing the public Galaxy services to run them. The Galaxy Training Network (GTN) portfolio has grown in both size, and accessibility, through learning paths and direct integration with Galaxy tools that feature in training courses. Code development continues in line with the Galaxy Project roadmap, with improvements to job scheduling and the user interface. Environmental impact assessment is also helping engage users and developers, reminding them of their role in sustainability, by displaying estimated CO2 emissions generated by each Galaxy job.NIH [U41 HG006620, U24 HG010263, U24 CA231877, U01 CA253481]; US National Science Foundation [1661497, 1758800, 2216612]; computational resources are provided by the Advanced Cyberinfrastructure Coordination Ecosystem (ACCESS-CI), Texas Advanced Computing Center, and the JetStream2 scientific cloud. Funding for open access charge: NIH. ELIXIR IS and Travel grants; EU Horizon Europe [HORIZON-INFRA-2021-EOSC-01-04, 101057388]; EU Horizon Europe under the Biodiversity, Circular Economy and Environment program (REA.B.3, BGE 101059492); German Federal Ministry of Education and Research, BMBF [031 A538A de.NBI-RBC]; Ministry of Science, Research and the Arts Baden-WĂŒrttemberg (MWK) within the framework of LIBIS/de.NBI Freiburg. Galaxy Australia is supported by the Australian BioCommons which is funded through Australian Government NCRIS investments from Bioplatforms Australia and the Australian Research Data Commons, as well as investment from the Queensland Government RICF program
Recommended from our members
The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update
YesGalaxy (https://galaxyproject.org) is deployed globally, predominantly through free-to-use services, supporting user-driven research that broadens in scope each year. Users are attracted to public Galaxy services by platform stability, tool and reference dataset diversity, training, support and integration, which enables complex, reproducible, shareable data analysis. Applying the principles of user experience design (UXD), has driven improvements in accessibility, tool discoverability through Galaxy Labs/subdomains, and a redesigned Galaxy ToolShed. Galaxy tool capabilities are progressing in two strategic directions: integrating general purpose graphical processing units (GPGPU) access for cutting-edge methods, and licensed tool support. Engagement with global research consortia is being increased by developing more workflows in Galaxy and by resourcing the public Galaxy services to run them. The Galaxy Training Network (GTN) portfolio has grown in both size, and accessibility, through learning paths and direct integration with Galaxy tools that feature in training courses. Code development continues in line with the Galaxy Project roadmap, with improvements to job scheduling and the user interface. Environmental impact assessment is also helping engage users and developers, reminding them of their role in sustainability, by displaying estimated CO2 emissions generated by each Galaxy job.NIH [U41 HG006620, U24 HG010263, U24 CA231877, U01 CA253481]; US National Science Foundation [1661497, 1758800, 2216612]; computational resources are provided by the Advanced Cyberinfrastructure Coordination Ecosystem (ACCESS-CI), Texas Advanced Computing Center, and the JetStream2 scientific cloud. Funding for open access charge: NIH. ELIXIR IS and Travel grants; EU Horizon Europe [HORIZON-INFRA-2021-EOSC-01-04, 101057388]; EU Horizon Europe under the Biodiversity, Circular Economy and Environment program (REA.B.3, BGE 101059492); German Federal Ministry of Education and Research, BMBF [031 A538A de.NBI-RBC]; Ministry of Science, Research and the Arts Baden-WĂŒrttemberg (MWK) within the framework of LIBIS/de.NBI Freiburg. Galaxy Australia is supported by the Australian BioCommons which is funded through Australian Government NCRIS investments from Bioplatforms Australia and the Australian Research Data Commons, as well as investment from the Queensland Government RICF program.Please note, contributors are listed in alphabetical order
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