1,139 research outputs found
Konsep Demokrasi Politik Dalam Islam
Coexistence of chronic rhinosinusitis (CRS) with asthma appears to impair asthma control. Type-2 innate lymphoid cells (ILC2s) respond to the cytokines of thymic stromal lymphopoietin (TSLP), interleukin (IL)-25 and IL-33, thus contributing to airway diseases such as CRS and asthma. We investigate whether the augmented Th2-cytokines in CRS might be related to sinonasal tract ILC2s corresponding to enhanced IL-25, IL-33 and TSLP release in severe asthmatics, and be involved in asthma control. Twenty-eight asthmatics (12 non-severe and 16 severe) with CRS receiving nasal surgery were enrolled. The predicted FEV1 inversely associated with CRS severity of CT or endoscopy scores. Higher expression of Th2-driven cytokines (IL-4, IL-5, IL-9, and IL-13), TSLP, IL-25 and IL-33 in nasal tissues was observed in severe asthma. Severe asthmatics had higher ILC2 cell counts in their nasal tissues. ILC2 counts were positively correlated with Th2-cytokines. Nasal surgery significantly improved asthma control and lung function decline in severe asthma and CRS. The higher expression of IL-33/ILC2 axis-directed type 2 immune responses in nasal tissue of CRS brought the greater decline of lung function in severe asthma. ILC2-induced the upregulated activity of Th2-related cytokines in asthmatics with CRS may contribute to a recalcitrant status of asthma control
Giant lipoma arising from deep lobe of the parotid gland
BACKGROUND: Lipomas are common benign soft tissue neoplasms but they are found very rarely in the deep lobe of parotid gland. Surgical intervention in these tumors is challenging because of the proximity of the facial nerve, and thus knowledge of the anatomy and meticulous surgical technique are essential. CASE PRESENTATION: A 71-year-old female presented with a large asymptomatic mass, which had occupied the left facial area for over the past fifteen years, and she requested surgical excision for a cosmetically better facial appearance. The computed tomography (CT) scan showed a well-defined giant lipoma arising from the left deep parotid gland. The lipoma was successfully enucleated after full exposure and mobilization of the overlying facial nerve branches. The surgical specimen measured 9 × 6 cm in size, and histopathology revealed fibrolipoma. The patient experienced an uneventful recovery, with a satisfying facial contour and intact facial nerve function. CONCLUSION: Giant lipomas involving the deep parotid lobe are extremely rare. The high-resolution CT scan provides an accurate and cost-effective preoperative investigative method. Surgical management of deep lobe lipoma should be performed by experienced surgeons due to the need for meticulous dissection of the facial nerve branches. Superficial parotidectomy before deep lobe lipoma removal may be unnecessary in selected cases because preservation of the superficial lobe may contribute to a better aesthetic and functional result
Less cost by using hanging maneuver and Pringle maneuver in left lateral hepatectomy through small laparotomy wound—experience of Southern Taiwan
Comparison between simulation and experimental result of the scale down vertical concrete cask under the historical earthquake hit
In recent years, the final disposal facility for the long-term storage of high radioactive waste is an important issue and an urgent task for nuclear Industry. This study is focus on the understanding the procedure of dry storage system in a nuclear power plant. The dry storage system is known as transportable storage canister (TSC) packing by using spent fuel placed in vertical concrete cask (VCC) or VCC with add-on-shell (AOS) canister and then those conveyed VCC or AOS will be put on the concrete pad. A numerical simulation for evaluation the behavior of VCC and AOC under the earthquake hits is used the finite element model by LS-DYNA and the real seismic behavior is obtained using shaking table test. Test results indicate that the simulation by numerical model can slightly simulate the dynamic records by shaking table test. This is because that the behavior of shaking table test is the rocking motion but the numerical model is the sliding motion. The surface roughness between the cask and concrete pad is an important variable and it needs more numerical simulation to solve the interface and friction coefficient between the cask and concrete pad
Attention-based Learning for Sleep Apnea and Limb Movement Detection using Wi-Fi CSI Signals
Wi-Fi channel state information (CSI) has become a promising solution for
non-invasive breathing and body motion monitoring during sleep. Sleep disorders
of apnea and periodic limb movement disorder (PLMD) are often unconscious and
fatal. The existing researches detect abnormal sleep disorders in impractically
controlled environments. Moreover, it leads to compelling challenges to
classify complex macro- and micro-scales of sleep movements as well as
entangled similar waveforms of cases of apnea and PLMD. In this paper, we
propose the attention-based learning for sleep apnea and limb movement
detection (ALESAL) system that can jointly detect sleep apnea and PLMD under
different sleep postures across a variety of patients. ALESAL contains
antenna-pair and time attention mechanisms for mitigating the impact of modest
antenna pairs and emphasizing the duration of interest, respectively.
Performance results show that our proposed ALESAL system can achieve a weighted
F1-score of 84.33, outperforming the other existing non-attention based methods
of support vector machine and deep multilayer perceptron
Epiretinal membrane detection at the ophthalmologist level using deep learning of optical coherence tomography
Purpose: Previous deep learning studies on optical coherence tomography (OCT) mainly focused on
diabetic retinopathy and age-related macular degeneration. We proposed a deep learning model that
can identify epiretinal membrane (ERM) in OCT with ophthalmologist-level performance. Design: Crosssectional study. Participants: A total of 3,618 central fovea cross section OCT images from 1,475 eyes of
964 patients. Methods: We retrospectively collected 7,652 OCT images from 1,197 patients. From these
images, 2,171 were normal and 1,447 were ERM OCT. A total of 3,141 OCT images was used as training
dataset and 477 images as testing dataset. DL algorithm was used to train the interpretation model.
Diagnostic results by four board-certifed non-retinal specialized ophthalmologists on the testing
dataset were compared with those generated by the DL model. Main Outcome Measures: We calculated
for the derived DL model the following characteristics: sensitivity, specifcity, F1 score and area under
curve (AUC) of the receiver operating characteristic (ROC) curve. These were calculated according
to the gold standard results which were parallel diagnoses of the retinal specialist. Performance of
the DL model was fnally compared with that of non-retinal specialized ophthalmologists. Results:
Regarding the diagnosis of ERM in OCT images, the trained DL model had the following characteristics
in performance: sensitivity: 98.7%, specifcity: 98.0%, and F1 score: 0.945. The accuracy on the training
dataset was 99.7% (95% CI: 99.4 - 99.9%), and for the testing dataset, diagnostic accuracy was 98.1%
(95% CI: 96.5 - 99.1%). AUC of the ROC curve was 0.999. The DL model slightly outperformed the
average non-retinal specialized ophthalmologists. Conclusions: An ophthalmologist-level DL model was
built here to accurately identify ERM in OCT images. The performance of the model was slightly better
than the average non-retinal specialized ophthalmologists. The derived model may play a role to assist
clinicians to promote the efciency and safety of healthcare in the future
The Guardian, April 9, 1982
Eight page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.https://corescholar.libraries.wright.edu/guardian/1998/thumbnail.jp
Made in Amsterdam : a 1771 cittern by Benoit Joseph Boussu
Cittern-family instruments enjoyed popularity in the second half of the 18th century, most notably in the British Isles and France. Many such instruments from these countries have survived in museums and private collections. This ‘guittar’ fashion also took root in the Netherlands, although very few Dutch-made, late 18th-century citterns have survived. The recent rediscovery of an Amsterdam-made cittern by Benoit Joseph Boussu, previously only known about from written sources, adds another example to this small but important group of Dutch-made instruments.
In this article, the Boussu cittern is comprehensively described, based on visual observations, endoscopy and CT-scanning, techniques that also enable a detailed analysis of its inner construction. The instrument’s provenance and the biography of its maker are also discussed.
These analyses lead to the conclusion that a cittern, of equal quality and appearance to British and French instruments, had already been built in the Netherlands as early as 1771, and included in its design an innovative watch-key tuning mechanism
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