Hughesgammelgaard8997

Photo-responsive molecular motors incorporated in soft porous materials enable the amplification of the motion of individual motor units by employing their collective and cooperative behavior. Metal-organic frameworks (MOFs) provide in this regard, due to their structural diversity and modular assembly, a unique matrix to construct well-defined and systematically tunable molecular environments for the embedding of molecular motors. However, despite advances in the development of such photo-responsive functional materials, a thorough understanding of the governing interactions at the atomic scale has been missing so far, limiting the possibility of predicting and fully exploring the potential of these assembled machineries. Here, we present a conformational study to unravel the collective structural behavior and elucidate the impact of motor-motor interactions on the local and global properties of the scaffold. In particular, our work highlights the impact of full conversion of the embedded molecular motors on the overall network topology of the MotorMOF and thus acts as a benchmark for future studies to further explore the correlation of responsive building units with the resulting functionality of these hierarchical systems.To characterize early cerebellum development, accurate segmentation of the cerebellum into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) tissues is one of the most pivotal steps. However, due to the weak tissue contrast, extremely folded tiny structures, and severe partial volume effect, infant cerebellum tissue segmentation is especially challenging, and the manual labels are hard to obtain and correct for learning-based methods. To the best of our knowledge, there is no work on the cerebellum segmentation for infant subjects less than 24 months of age. In this work, we develop a semi-supervised transfer learning framework guided by a confidence map for tissue segmentation of cerebellum MR images from 24-month-old to 6-month-old infants. Note that only 24-month-old subjects have reliable manual labels for training, due to their high tissue contrast. Through the proposed semi-supervised transfer learning, the labels from 24-month-old subjects are gradually propagated to the 18-, 12-, and 6-month-old subjects, which have a low tissue contrast. Comparison with the state-of-the-art methods demonstrates the superior performance of the proposed method, especially for 6-month-old subjects.

We assessed the impact of the transition from a primarily paper-based electronic health record (EHR) to a comprehensive EHR on emergency physician work tasks and efficiency in an academic emergency department (ED).

We conducted a time motion study of emergency physicians on shift in our ED. Fifteen emergency physicians were directly observed for two 4-hour sessions prior to EHR implementation, during go live, and then during post-implementation. Observers performed continuous observation and measured times for the following tasks chart review, direct patient care, documentation, physical movement, communication, teaching, handover, and other. We compared time spent on tasks during the 3 phases of transition and analyzed mean times for the tasks per patient and per shift using 2-tailed

test for comparison.

Physicians saw fewer patients per shift during go-live (0.51 patient/hour,

< 0.01), patient efficiency increased in post-implementation but did not recover to baseline (-0.31 patient/hour,

develop strategies to maintain quality of care.Evaluating redox homeostasis involves gauging the levels of reactive oxygen species (ROS) and reactive nitrogen species (RNS) directly in tissues and cells. The brain is especially metabolically active and is particularly vulnerable to excessive ROS and RNS. Here, we describe a methodology to quantitatively measure ROS in ex vivo mouse brain slices at baseline and after neural stimulation. Evaluating ROS in slices provides a more complete picture of neural redox signaling than when measured in isolated neurons or astrocytes. For complete details on the use and execution of this protocol, please refer to Vasavda et al. (2019).There is growing interest in medicine and sports in uncovering exercise modifiers that enhance or limit exercise capacity. Here, we detail a protocol for testing the daytime effect on running capacity in mice using a moderate intensity treadmill effort test. Instructions for dissecting soleus, gastrocnemius plantaris, and quadriceps muscles for further analysis are provided as well. This experimental setup is optimized for addressing questions regarding the involvement of daytime and circadian clocks in regulating exercise capacity. For complete details on the use and execution of this protocol, please refer to Ezagouri et al. (2019).The analysis of phagolysosomes within professional phagocytic cells is facilitated by their isolation. Here, we optimized a protocol for the isolation of intact phagolysosomes from macrophages infected with the spores of Aspergillus fumigatus. Purified phagolysosomes allow improved immunostaining, e.g., of phagolysosomal membrane proteins, or proteome analysis. For complete details on the use and execution of this protocol, please refer to Schmidt et al. (2020).Mouse models are essential for studying pain neurobiology and testing pain therapeutics. The reliance on assays that only measure the presence, absence, or frequency of a reflex have limited the reliability of preclinical pain studies. Our high-speed videography protocol overcomes this by projecting the discrete sub-second kinematic behavioral features induced by hind paw stimulation onto a "mouse pain scale." This provides a more objective and robust pain measurement in mice by quantifying the quality of the stimulus-induced hind paw reflex. For complete details on the use and execution of this protocol, please refer to Abdus-Saboor et al. (2019).CRISPR-based genetic screens revolutionized our ability to genetically probe cell biology. We present a protocol to conduct genome-scale chemogenomic dropout CRISPR screens in the human RPE1-hTERT p53-/- cell line. Elacridar nmr We use the TKOv3 library, which contains 70,948 sgRNAs targeting 18,053 genes. Here, we describe how to set up the screen, the reagents required, and how to sequence and analyze the results. This protocol can be customized for other libraries, cell lines, and sequencing instruments. For complete details on the use and execution of this protocol, please refer to Olivieri et al. (2020).