242 research outputs found

    Molecular identification of Reesa vespulae (Milliron) (Coleoptera: Dermestidae), a newly recorded species from Korea

    Get PDF
    AbstractA museum pest belonging to the family Dermestidae was found in the Museum of Sunchon National University, Sunchon, Korea and identified using its morphological characteristics and a DNA-based analysis of the mitochondrial cytochrome c oxidase I (COI) gene. This marks the first recorded appearance of this pest, which is identified as Reesa vespulae (Milliron), in the Korean Peninsula. We provide the details of the morphological diagnosis with the habitus of its adult and larva and its COI barcode data, and introduce historical data about its invasion around the world

    IL-1α Stimulation Restores Epidermal Permeability and Antimicrobial Barriers Compromised by Topical Tacrolimus

    Get PDF
    In a previous study, we showed that barrier recovery was delayed after acute barrier disruption in the skin treated with topical calcineurin inhibitors. Tacrolimus decreases lipid synthesis and the expressions of antimicrobial peptide (AMP) and IL-1α in the epidermis. IL-1α is an important cytokine for improving barrier function, lamellar body (LB) production, and lipid synthesis in keratinocytes (KCs). We aimed to evaluate whether IL-1α stimulation could restore the barrier dysfunction observed in tacrolimus-treated skin. Topical imiquimod, an IL-1α inducer, restored the epidermal permeability barrier recovery that had been inhibited by tacrolimus treatment in human (n=15) and murine (n=10) skins, and improved stratum corneum integrity by restoring corneodosmosomes in murine skin (n=6). Imiquimod co-applied on the epidermis resulted in an increase in the production of LB and three major lipid synthesis-related enzymes, and in the expressions of mBD3, CRAMP, and IL-1α (n=5). Furthermore, intracutaneous injection of IL-1α restored permeability barrier recovery (n=6). In IL-1 type 1 receptor knockout mice, topical imiquimod was unable to restore permeability barrier recovery after tacrolimus treatment (n=21). In conclusion, IL-1α stimulation induced positive effects on epidermal permeability and antimicrobial barrier functions in tacrolimus-treated skin. These positive effects were mediated by an increase in epidermal lipid synthesis, LB production, and AMP expression.JID JOURNAL CLUB ARTICLE: For questions, answers, and open discussion about this article, please go to http://www.nature.com/jid/journalclu

    Heterogeneity of Skin Surface Oxygen Level of Wrist in Relation to Acupuncture Point

    Get PDF
    The distribution of partial oxygen pressure (pO2) is analyzed for the anterior aspect of the left wrist with an amperometric oxygen microsensor composed of a small planar Pt disk-sensing area (diameter = 25 μm). The pO2 levels vary depending on the measurement location over the wrist skin, and they are systematically monitored in the analysis for both one-dimensional single line (along the wrist transverse crease) and two-dimensional square area of the wrist region. Relatively higher pO2 values are observed at certain area in close proximity to the position of acupuncture points with statistical significance, indicating strong relationship between oxygen and acupuncture point. The used oxygen microsensor is sensitive enough to detect the pO2 variation depending on the location. This study may provide information helpful to understand possible physiological roles of the acupuncture points

    Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation

    Full text link
    Individual tooth segmentation from cone beam computed tomography (CBCT) images is an essential prerequisite for an anatomical understanding of orthodontic structures in several applications, such as tooth reformation planning and implant guide simulations. However, the presence of severe metal artifacts in CBCT images hinders the accurate segmentation of each individual tooth. In this study, we propose a neural network for pixel-wise labeling to exploit an instance segmentation framework that is robust to metal artifacts. Our method comprises of three steps: 1) image cropping and realignment by pose regressions, 2) metal-robust individual tooth detection, and 3) segmentation. We first extract the alignment information of the patient by pose regression neural networks to attain a volume-of-interest (VOI) region and realign the input image, which reduces the inter-overlapping area between tooth bounding boxes. Then, individual tooth regions are localized within a VOI realigned image using a convolutional detector. We improved the accuracy of the detector by employing non-maximum suppression and multiclass classification metrics in the region proposal network. Finally, we apply a convolutional neural network (CNN) to perform individual tooth segmentation by converting the pixel-wise labeling task to a distance regression task. Metal-intensive image augmentation is also employed for a robust segmentation of metal artifacts. The result shows that our proposed method outperforms other state-of-the-art methods, especially for teeth with metal artifacts. The primary significance of the proposed method is two-fold: 1) an introduction of pose-aware VOI realignment followed by a robust tooth detection and 2) a metal-robust CNN framework for accurate tooth segmentation.Comment: 10 pages, 10 figure

    Clean dry etching of Cu and Ni alloy metal thin film by reactive proton assisted etching

    Get PDF
    Please click Download on the upper right corner to see the full abstract

    Assessment of foodservice quality and identification of improvement strategies using hospital foodservice quality model

    Get PDF
    The purposes of this study were to assess hospital foodservice quality and to identify causes of quality problems and improvement strategies. Based on the review of literature, hospital foodservice quality was defined and the Hospital Foodservice Quality model was presented. The study was conducted in two steps. In Step 1, nutritional standards specified on diet manuals and nutrients of planned menus, served meals, and consumed meals for regular, diabetic, and low-sodium diets were assessed in three general hospitals. Quality problems were found in all three hospitals since patients consumed less than their nutritional requirements. Considering the effects of four gaps in the Hospital Foodservice Quality model, Gaps 3 and 4 were selected as critical control points (CCPs) for hospital foodservice quality management. In Step 2, the causes of the gaps and improvement strategies at CCPs were labeled as "quality hazards" and "corrective actions", respectively and were identified using a case study. At Gap 3, inaccurate forecasting and a lack of control during production were identified as quality hazards and corrective actions proposed were establishing an accurate forecasting system, improving standardized recipes, emphasizing the use of standardized recipes, and conducting employee training. At Gap 4, quality hazards were menus of low preferences, inconsistency of menu quality, a lack of menu variety, improper food temperatures, and patients' lack of understanding of their nutritional requirements. To reduce Gap 4, the dietary departments should conduct patient surveys on menu preferences on a regular basis, develop new menus, especially for therapeutic diets, maintain food temperatures during distribution, provide more choices, conduct meal rounds, and provide nutrition education and counseling. The Hospital Foodservice Quality Model was a useful tool for identifying causes of the foodservice quality problems and improvement strategies from a holistic point of view
    corecore