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Markov random field (MRF) clustering, utilizing both spectral and spatial interpixel dependency information, often improves classification accuracy for remote sensing images, such as multichannel polarimetric synthetic aperture radar (SAR) images. However, it is heavily sensitive to initial conditions snob as the choice of the number of clusters and their parameters. Ill this paper, an initialization scheme for MRF clustering approaches is suggested for remote sensing images. The proposed method derives suitable initial cluster parameters from a set of homogeneous regions, and estimates the number of clusters using the pseudolikelihood information criterion (PLIC). The method works best for an image consisting of many large homogeneous regions, such as agricultural crops areas. It is illustrated using a well-known polarimetric SAR image of Flevoland in the Netherlands. The experiment shows a superior performance compared to several other methods, such as fuzzy C-means and iterated conditional modes (ICM) clustering. Index Terms--Image clustering, iterated conditional mode (ICM), parameter estimation, spatial infnrmation.

An existing method to measure particle velocity is particle image velocimetry which requires presence of tracer materials. This method of contrast enhancement is not always applicable in an industrial setting. Therefore a method to assess the movement of small, structures has been introduced, called powder surface velocimetry (PSV). The principle of PSV is to follow the movement of small structures on the surface of the powder bed. The displacement of the structure is correlated with velocity. The rate of the blade of a blender was quantified to assess the validity of PSV. Next the powder surface velocity of lactose 100 M was measured by PSV and was found to be in line with expected values and flow regimes. © 2011 American Institute of Chemical Engineers AIChE J, 2012 [ABSTRACT FROM AUTHOR]

Chronic itch, a highly debilitating condition, has received relatively little attention in the neuroimaging literature. Recent studies suggest that brain regions supporting itch in chronic itch patients encompass sensorimotor and salience networks, and corticostriatal circuits involved in motor preparation for scratching. However, how these different brain areas interact with one another in the context of itch is still unknown. We acquired BOLD fMRI scans in 14 atopic dermatitis patients to investigate resting-state functional connectivity before and after allergen-induced itch exacerbated the clinical itch perception in these patients. A seed-based analysis revealed decreased functional connectivity from baseline resting state to the evoked-itch state between several itch-related brain regions, particularly the insular and cingulate cortices and basal ganglia, where decreased connectivity was significantly correlated with increased levels of perceived itch. In contrast, evoked itch increased connectivity between key nodes of the frontoparietal control network (superior parietal lobule and dorsolateral prefrontal cortex), where higher increase in connectivity was correlated with a lesser increase in perceived itch, suggesting that greater interaction between nodes of this executive attention network serves to limit itch sensation via enhanced top-down regulation. Overall, our results provide the first evidence of itch-dependent changes in functional connectivity across multiple brain regions.

Introduction: The prevalence of burnout among anesthesiology residents is 41%-51%. Burnout is associated with medical errors, physician turnover, and substance use disorder. Social support and wellness may reduce burnout, but a barrier is support persons' lack of understanding of an anesthesiologist's work demands. We developed the Family Anesthesia Experience (FAX) to help support persons best support their resident., Methods: FAX consisted of a 4-hour event with hands-on experience, didactics portion, and panel discussion. Participants learned about a typical day in the life of an anesthesiology resident, wellness, burnout, substance use disorder, and available support resources, and had hands-on experience with procedures. The panel discussion offered logistical information about anesthesiology residency and allowed support persons to ask panel members questions. A postevent survey collected feedback on the event., Results: Fifty-one participants (first-year anesthesiology residents and their support persons) attended the event. Eight of 11 residents (73%) and 32 of 40 support persons (80%) completed the survey. All enjoyed the event, would recommend it to other anesthesiology resident support persons, and felt the event would improve communication and support. Most learned a moderate (35%) to large amount (50%) from the event. Qualitative feedback suggested most support persons found the event helpful in improving their understanding of anesthesiology residents' work demands., Discussion: The FAX was well liked by participants. Although we did not assess specific knowledge gained and long-term effects of the 2022 event, evaluations of previous years' events suggest that the event improved participants' understanding of anesthesiology residents' work and stressors., (© 2023 Martinelli et al.)

In this work we consider a simulation strategy for assembling Janus nanoparticles in oil-in-water emulsion droplets by evaporation based on the dissipative particle dynamics method. Our simple method reproduces all the observed cluster configurations that have been explored experimentally. In addition, the kinetic process of cluster formation is systematically investigated. We observe a structural transition from spherical packings to minimal second-moment configurations via visual inspection and a simple angle parameter. We reveal that the critical volume at which the transition occurs is a cubic function of the number of particles, N. Our approach also allows us to anticipate higher-order clusters, overcoming the limitations of the standard methods in the literature. Similarly to small N values, we find that for each N in the range of 16-39, all final clusters have a unique configuration.

Histone deacetylases (HDACs) are important enzymes that effect post-translational modifications of proteins by altering the acetylation state of lysine residues. HDACs control epigenetic changes that trigger cell transformation and proliferation of transformed cells associated with many diseases. These enzymes are validated drug targets for some types of cancer and are promising therapeutic targets for a range of other diseases, including malaria. Annually, there are ~500 million clinical cases of malaria and ~0.8-1.2 million deaths. There is no licensed vaccine for preventing malaria, and parasites that cause malaria are becoming resistant to current drugs, necessitating the search for new therapies. HDAC inhibitors are emerging as a promising new class of antimalarial drugs with potent and selective action against Plasmodium parasites in vitro. Recent studies on the effects of HDAC inhibitors on the growth and development of P. falciparum have provided important new information on transcriptional regulation in malaria parasites and have validated the potential of this class of inhibitors for malaria therapy. To realise effective HDAC inhibitors for clinical trials, next generation inhibitors must not inhibit other human HDACs or proteins required for normal human physiology, be highly selective in killing parasites in vivo without killing normal host cells, and have improved bioavailability and pharmacokinetic profiles. This review summarizes current knowledge about malaria parasite HDACs and HDAC inhibitors with antimalarial properties, and provides insights for their development into new drugs for treatment of malaria.

It is now clear that histone acetylation plays key roles in regulating gene transcription in both eukaryotes and prokaryotes, the acetylated form inducing gene expression while deacetylation silences genes. Recent studies have identified roles for histone acetyltransferases (HATs) and/or histone deacetylases (HDACs) in a number of parasites including Entamoeba histolytica, Toxoplasma gondii, Schistosoma mansoni, Cryptosporidium sp., Leishmania donovani, Neospora caninum, and Plasmodium falciparum. Here we survey fairly limited efforts to date in profiling antimalarial activities of HDAC inhibitors, showing that such compounds are potent inhibitors of the growth of P. falciparum in vitro and in vivo. Most of the compounds evaluated so far have borne a zinc-binding hydroxamate group that tends to be metabolized in vivo, and thus new zinc-binding groups need to be incorporated into second generation inhibitors in order to mask the catalytic zinc in the active site of HDACs. Also the development of compounds that are selective for parasitic HDACs over mammalian HDACs is still in relative infancy and it will take some time to derive antiparasitic HDAC inhibitor compounds with minimal toxicity for the host and acceptable pharmacokinetic and pharmacodynamic profiles for human treatment. Nevertheless, results to date suggest that HDAC inhibitor development represents a promising new approach to the potential treatment of parasitic infections, including those induced by malaria protozoa, and may offer new therapeutic targets within increasingly drug-resistant malarial parasites.