Alternativní vyhledávání:
hard » had (Rozšířit vyhledávání), hand (Rozšířit vyhledávání), ward (Rozšířit vyhledávání)
hard » had (Rozšířit vyhledávání), hand (Rozšířit vyhledávání), ward (Rozšířit vyhledávání)
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The hARD1 NLS mutant causes alterations in cell cycle.
Vydáno 2014“…*<i>p</i><0.05, **<i>P</i><0.01 <b>B</b>. Deletion of NLS from hARD1 increased the protein levels involved in the G2/M phase and decreased those involved in the G0/G1 phase. …”
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NLS insertion into hARD1 rescues the impaired cell cycle.
Vydáno 2014“…The exogenous NLS restored the altered protein expression involved in cell cycle regulation of the NLS mutant. …”
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206
Hard questions for soft skills: Carpentries community collaboration in Aotearoa & Australia
Vydáno 2024“…</p><p dir="ltr">What started out as “gapfiller” for technical skill development has evolved to represent best practice in open research methods, pedagogical practice and community development. …”
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207
Hard Surface Biocontrol in Hospitals Using Microbial-Based Cleaning Products
Vydáno 2014“…Although many questions remain regarding the actual mechanisms involved, this study demonstrates that microbial cleaning is a more effective and sustainable alternative to chemical cleaning and non-specific disinfection in healthcare facilities.…”
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208
S/HIC: Robust Identification of Soft and Hard Sweeps Using Machine Learning
Vydáno 2016“…Here we introduce a new method, S/HIC, which uses supervised machine learning to precisely infer the location of both hard and soft selective sweeps. We show that S/HIC has unrivaled accuracy for detecting sweeps under demographic histories that are relevant to human populations, and distinguishing sweeps from linked as well as neutrally evolving regions. …”
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209
On-Demand Maneuver of Millirobots with Reprogrammable Motility by a Hard-Magnetic Coating
Vydáno 2022“…Using this approach, we demonstrate on-demand maneuvering capability of reconfiguring locomotion involving crawling, overturning and rolling with a single millirobot. …”
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210
On-Demand Maneuver of Millirobots with Reprogrammable Motility by a Hard-Magnetic Coating
Vydáno 2022“…Using this approach, we demonstrate on-demand maneuvering capability of reconfiguring locomotion involving crawling, overturning and rolling with a single millirobot. …”
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211
On-Demand Maneuver of Millirobots with Reprogrammable Motility by a Hard-Magnetic Coating
Vydáno 2022“…Using this approach, we demonstrate on-demand maneuvering capability of reconfiguring locomotion involving crawling, overturning and rolling with a single millirobot. …”
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212
On-Demand Maneuver of Millirobots with Reprogrammable Motility by a Hard-Magnetic Coating
Vydáno 2022“…Using this approach, we demonstrate on-demand maneuvering capability of reconfiguring locomotion involving crawling, overturning and rolling with a single millirobot. …”
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213
On-Demand Maneuver of Millirobots with Reprogrammable Motility by a Hard-Magnetic Coating
Vydáno 2022“…Using this approach, we demonstrate on-demand maneuvering capability of reconfiguring locomotion involving crawling, overturning and rolling with a single millirobot. …”
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214
On-Demand Maneuver of Millirobots with Reprogrammable Motility by a Hard-Magnetic Coating
Vydáno 2022“…Using this approach, we demonstrate on-demand maneuvering capability of reconfiguring locomotion involving crawling, overturning and rolling with a single millirobot. …”
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215
Rejection probability for samples taken from an age-structured population with <i>N</i> = 10<sup>5</sup>, <i>μ</i> = 5 ⋅ 10<sup>−4</sup>, <i>p</i><sub>death</sub> = 0.02 and <i>c</...
Vydáno 2023Témata: “…structured populations evolving…”
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216
Rejection probability of the Ewens-Watterson test for samples taken from an age-structured population with <i>N</i> = 10<sup>5</sup>, <i>μ</i> = 5 ⋅ 10<sup>−4</sup>, <i>b</i> = 0....
Vydáno 2023Témata: “…structured populations evolving…”
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217
The four components of the Machine Learning approach.
Vydáno 2023Témata: “…structured populations evolving…”
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218
Permutation importance of <sup><i>q</i></sup><i>D</i> values for inference based on samples of size <i>n</i> = 100 (blue line), <i>n</i> = 500 (orange line), <i>n</i> = 1000 (green...
Vydáno 2023Témata: “…structured populations evolving…”
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219
Effective population size of the age-structured neutral models with various <i>p</i><sub>death</sub>-values and <i>N</i> = 10<sup>5</sup>.
Vydáno 2023Témata: “…structured populations evolving…”
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Fraction of neutral samples classified as non-neutral (by the ML approach) taken from an age-structured population with <i>N</i> = 10<sup>5</sup>, <i>μ</i> = 5 ⋅ 10<sup>−4</sup>, <...
Vydáno 2023Témata: “…structured populations evolving…”