From Light to Dark: Dancing with Electrons in Colloidal 2D MoS2 Nanosheets.

Extending the lifetime of photogenerated electrons in semiconductor systems is an important criterion for the conversion of light into storable energy. We have now succeeded in storing electrons in a photoirradiated colloidal molybdenum disulfide (MoS2) suspension, showcasing its unique reversible photoresponsive behavior. The dampened A and B excitonic peaks indicate the accumulation of photogenerated electrons and the minimization of interactions between MoS2 interlayers. The stored electrons were quantitatively extracted by titrating with a ferrocenium ion in the dark, giving ca. 0.2 electrons per MoS2 formula unit. The emergence of the photoinduced A1g* Raman mode and the decrease in zeta potential after irradiation suggest intercalation of counterions to maintain overall charge balance upon electron storage. These results provide insights into the mechanism of photogenerated electron storage in 2D materials and pave the way for the potential application of colloidal 2D materials in electron storage.

Psoriatic arthritis increases the risk of venous thromboembolism following degenerative lumbar spine surgery: An analysis of U.S. Nationwide Inpatient Sample 2005-2018.

Background: This retrospective study aimed to determine the risk of venous thromboembolism (VTE) in patients with PsA after surgery for lumbar degenerative disease (LDD). Methods: The study data of adults aged ≥20 years admitted to U.S. hospitals with diagnoses of LDD and undergoing spinal decompression or fusion between 2005 and 2018 were extracted from the National Inpatient Sample (NIS) database. Patients were further divided into two groups based on a diagnosis of PsA or not via codes ICD-9: 696.0 and ICD-10: L40.50. Patients with missing information were excluded. Propensity score matching (PSM) was employed to enhance comparability between groups. Logistic regression was used to determine associations between PsA and various outcomes, including complications, unfavorable discharge, and prolonged length of stay (LOS). Results: Data on 471,283 patients with LDD was extracted from the NIS database.from 2005 to 2018. Before propensity score matching, patients with PsA had higher proportions of overall morbidity (8.8 % vs. 6.9 %), VTE (1.4 % vs. 0.7 %), and unfavorable discharge (20.8 % vs. 16.9 %). After matching, patients with PsA still had higher VTE incidence and unfavorable discharge proportions. After adjustments, multivariable regression analysis indicated that patients with PsA had a higher risk of unfavorable discharge (aOR: 1.26, 95 % CI: 1.03-1.55) and VTE (aOR: 1.99, 95 % CI: 1.05-3.75). Conclusions: Among patients undergoing surgery for LDD, pre-existing PsA may be associated with increased risks of unfavorable discharge and VTE occurrence. The findings may benefit preoperative risk stratifications before LDD surgeries.

Effective Invasiveness Recognition of Imbalanced Data by Semi-Automated Segmentations of Lung Nodules.

Over the past few decades, recognition of early lung cancers was researched for effective treatments. In early lung cancers, the invasiveness is an important factor for expected survival rates. Hence, how to effectively identify the invasiveness by computed tomography (CT) images became a hot topic in the field of biomedical science. Although a number of previous works were shown to be effective on this topic, there remain some problems unsettled still. First, it needs a large amount of marked data for a better prediction, but the manual cost is high. Second, the accuracy is always limited in imbalance data. To alleviate these problems, in this paper, we propose an effective CT invasiveness recognizer by semi-automated segmentation. In terms of semi-automated segmentation, it is easy for doctors to mark the nodules. Just based on one clicked pixel, a nodule object in a CT image can be marked by fusing two proposed segmentation methods, including thresholding-based morphology and deep learning-based mask region-based convolutional neural network (Mask-RCNN). For thresholding-based morphology, an initial segmentation is derived by adaptive pixel connections. Then, a mathematical morphology is performed to achieve a better segmentation. For deep learning-based mask-RCNN, the anchor is fixed by the clicked pixel to reduce the computational complexity. To incorporate advantages of both, the segmentation is switched between these two sub-methods. After segmenting the nodules, a boosting ensemble classification model with feature selection is executed to identify the invasiveness by equalized down-sampling. The extensive experimental results on a real dataset reveal that the proposed segmentation method performs better than the traditional segmentation ones, which can reach an average dice improvement of 392.3%. Additionally, the proposed ensemble classification model infers better performances than the compared method, which can reach an area under curve (AUC) improvement of 5.3% and a specificity improvement of 14.3%. Moreover, in comparison with the models with imbalance data, the improvements of AUC and specificity can reach 10.4% and 33.3%, respectively.

Outcomes of hemorrhagic stroke in patients with autoimmune rheumatic diseases: An analysis of the US Nationwide Inpatient Sample.

AIM: To determine whether and how rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and systemic sclerosis (SSc) affect outcomes in patients admitted for hemorrhagic stroke. METHODS: This study screened the Nationwide Inpatient Sample database for adults aged ≥20 years admitted to US hospitals with a principal diagnosis of intracerebral hemorrhage (ICH) between 2005 and 2018. Diagnoses were determined using the International Classification of Diseases, 9th and 10th revisions (ICD-9 and ICD-10) diagnostic codes for ICH (ICD-9: 431, 432; ICD-10: I61, I62). Study outcomes were: (1) in-hospital mortality; (2) unfavorable discharge, defined as transfer to nursing homes or long-term care facilities; and (3) prolonged length of stay (LOS), defined as LOS >75th centile. RESULTS: Associations between comorbid RA, SLE, and SSc and clinical outcomes show a significantly lower risk of in-hospital mortality and prolonged LOS in RA patients. After admissions for ICH, the risk for in-hospital mortality and prolonged LOS was decreased in RA patients, and the risk for unfavorable discharge (long-term care) was reduced in SLE patients. CONCLUSIONS: Among patients admitted to US hospitals for hemorrhagic stroke, patients with RA had decreased risk for in-hospital mortality and prolonged LOS.

Correction: First-principles modeling of the highly dynamical surface structure of a MoS2 catalyst with S-vacancies.

Correction for 'First-principles modeling of the highly dynamical surface structure of a MoS2 catalyst with S-vacancies' by Po-Yuan Wang et al., Phys. Chem. Chem. Phys., 2022, 24, 24166-24172, https://doi.org/10.1039/D2CP03384D.

Acupuncture for pain control after degenerative lumbar spine surgery.

BACKGROUND: Wound pain after surgery for lumbar spine disease may interfere with patients' recovery. Acupuncture is commonly used for pain management, but its efficacy for postoperative pain control is unclear. This study aimed to evaluate the effectiveness of acupuncture for adjuvant pain control after surgery for degenerative lumbar spine disease. METHODS: We retrospectively reviewed the records of consecutive patients who received surgery for degenerative lumbar spine disease at our institution from 2013 to 2014. Surgical procedures included open laminectomy, discectomy, and trans-pedicle screw instrumentation with posterior-lateral fusion. Patients were grouped by pain control methods, including routine analgesia, patient-controlled analgesia (PCA), and acupuncture. The routine analgesia group received oral acetaminophen/non-steroidal anti-inflammatory drugs with meperidine as needed for immediate pain control. The PCA group received a basal dose of morphine and subsequent user-demand doses. The acupuncture group received acupuncture every other day after surgery. RESULTS: Ninety-six patients were included, of whom 37 received acupuncture, 27 received PCA, and 32 received routine analgesics for pain control. Visual analog scale (VAS) pain scores in all 3 groups decreased significantly, and to the same degree, from the first postoperative day to the second day. No significant differences were found in VAS scores over the next 6 postoperative days; however, the scores of patients treated with PCA were slightly but still significantly higher (p = 0.026) on postoperative day 4 than scores of patients treated with acupuncture and traditional analgesia, a difference likely due to PCA being discontinued on postoperative day 3. No major complications were noted in the acupuncture group, but 2 patients dropped out because of fear of needle insertion. CONCLUSIONS: Acupuncture may be as effective as traditional analgesia and PCA for adjuvant pain control after surgery for degenerative lumbar spine disease.

First-principles modeling of the highly dynamical surface structure of a MoS2 catalyst with S-vacancies.

Vacancy sites, e.g., S-vacancies, are essential for the performance of MoS2 catalysts. As earlier studies have revealed that the size and shape of the S-vacancies may affect the catalytic activity, we have studied the behavior and mobility of such vacancies on MoS2 using DFT calculations and kinetic Monte-Carlo (kMC) simulations. The diffusion barriers for the S-vacancies are highly dependent on the immediate environment: isolated single S-vacancies are found to be immobile. In contrast, small nS-vacancies formed from n = 2 to 5 neighboring S-vacancies are often highly dynamic systems that can move within a confined area. Large extended nS-vacancies are generally unstable and transform quickly into alternating patterns of S-atoms and vacancy sites. These results illustrate the importance of recognizing MoS2 (but also other catalysts) as dynamic structures when trying to tune their catalytic performances by introducing specific defect structures.

A Robust, Fully Automatic Detection Method and Calculation Technique of Midline Shift in Intracranial Hemorrhage and Its Clinical Application.

A midline shift (MLS) is an important clinical indicator for intracranial hemorrhage. In this study, we proposed a robust, fully automatic neural network-based model for the detection of MLS and compared it with MLSs drawn by clinicians; we also evaluated the clinical applications of the fully automatic model. We recruited 300 consecutive non-contrast CT scans consisting of 7269 slices in this study. Six different types of hemorrhage were included. The automatic detection of MLS was based on modified Keypoint R-CNN with keypoint detection followed by training on the ResNet-FPN-50 backbone. The results were further compared with manually drawn outcomes and manually defined keypoint calculations. Clinical parameters, including Glasgow coma scale (GCS), Glasgow outcome scale (GOS), and 30-day mortality, were also analyzed. The mean absolute error for the automatic detection of an MLS was 0.936 mm compared with the ground truth. The interclass correlation was 0.9899 between the automatic method and MLS drawn by different clinicians. There was high sensitivity and specificity in the detection of MLS at 2 mm (91.7%, 80%) and 5 mm (87.5%, 96.7%) and MLSs greater than 10 mm (85.7%, 97.7%). MLS showed a significant association with initial poor GCS and GCS on day 7 and was inversely correlated with poor 30-day GOS (p < 0.001). In conclusion, automatic detection and calculation of MLS can provide an accurate, robust method for MLS measurement that is clinically comparable to the manually drawn method.

Different causes and diverse outcomes of extremely rare septic cavernous sinus thrombosis complicated with internal carotid artery stenosis.

BACKGROUND: Cases of acute sphenoid sinusitis complicated by septic cavernous sinus (CS) thrombosis and internal carotid artery (ICA) stenosis are rarely reported. Different causative pathogens have been reported for this condition. We present two extremely rare and special cases with diverse clinical presentations and outcomes. Case 1 involved a female patient with less extensive sinusitis, but critical ICA occlusion. Case 2 involved a male patient with extensive pansinusitis, meningitis, cerebritis, and vasculitis due to fungal infection, but less stenosis of the ICA lumen. Both patients underwent surgical debridement and received broad-spectrum antibiotics. Additional anti-fungal medication was also administered in Case 2. However, outcomes differed considerably between cases. DISCUSSION: Case 1 recovered with minimal neurological deficits and had Glasgow Outcome Scale (GOS) and modified Rankin Scale (mRS) scores of 5 and 2, respectively; however, the Case 2 had GOS and mRS scores of 3 and 4, respectively. Although rare, septic CS thrombosis with ICA stenosis can lead to unexpected and severe neurological sequelae. Fungal infection can result in catastrophic complications and poorer prognosis. CONCLUSION: In addition to early detection, aggressive surgical debridement and adequate antimicrobial treatment are crucial to satisfactory outcomes in patients with septic CS thrombosis complicated with ICA stenosis.

High Resistance Index in the Feeding Arteries of Indirect Carotidcavernous Fistulae: A Diagnostic Pitfall.

Carotid-cavernous fistulae (CCFs) are classified into the direct and indirect types, which can be attributed to trauma, atherosclerosis, hypertension, diabetes mellitus, pregnant or postmenopausal status(1). Cerebral angiography is the gold standard for the diagnosis of CCFs. Doppler ultrasound, which typically reveals increased blood flow velocity and decreased resistance index (RI) in the feeding arteries, can assist in the diagnosis(2-3). We herein report a case of indirect CCF presenting with high RI in the feeding arteries, which is mainly attributed to the generalized atherosclerotic change, and is regarded as a diagnostic pitfall of the CCFs.

Wernicke's Encephalopathy after Bariatric Surgery with Atypical Magnetic Resonance Imaging: A Case Report.

Wernicke's encephalopathy (WE) is a disease caused by thiamine deficiency related to alcoholism, hyperemesis, or thiamine malabsorption. The clinical manifestations of WE are mental change, ataxia, and ophthalmoplegia. The typical magnetic resonance imaging (MRI) findings of WE are symmetrical involvement of medial thalamus, periventricular region of the third ventricle, periaqueductal area, and mammillary body. The atypical MRI findings are more common in nonalcoholic WE. Since the increasing population of obesity and the preference of weight loss surgery, the risk of developing thiamine deficiencies associated with weight loss surgery has become a considerable etiology of WE. We herein reported a case reminds clinicians that WE can be a possible diagnosis in patient who developed acute altered mental status with atypical MRI lesion involving bilateral centrum semiovale and corona radiata after receiving bariatric surgery.

Data-Driven NPR Illustrations of Natural Flows in Chinese Painting.

Introducing motion into existing static paintings is becoming a field that is gaining momentum. This effort facilitates keeping artworks current and translating them to different forms for diverse audiences. Chinese ink paintings and Japanese Sumies are well recognized in Western cultures, yet not easily practiced due to the years of training required. We are motivated to develop an interactive system for artists, non-artists, Asians, and non-Asians to enjoy the unique style of Chinese paintings. In this paper, our focus is on replacing static water flow scenes with animations. We include flow patterns, surface ripples, and water wakes which are challenging not only artistically but also algorithmically. We develop a data-driven system that procedurally computes a flow field based on stroke properties extracted from the painting, and animate water flows artistically and stylishly. Technically, our system first extracts water-flow-portraying strokes using their locations, oscillation frequencies, brush patterns, and ink densities. We construct an initial flow pattern by analyzing stroke structures, ink dispersion densities, and placement densities. We cluster extracted strokes as stroke pattern groups to further convey the spirit of the original painting. Then, the system automatically computes a flow field according to the initial flow patterns, water boundaries, and flow obstacles. Finally, our system dynamically generates and animates extracted stroke pattern groups with the constructed field for controllable smoothness and temporal coherence. The users can interactively place the extracted stroke patterns through our adapted Poisson-based composition onto other paintings for water flow animation. In conclusion, our system can visually transform a static Chinese painting to an interactive walk-through with seamless and vivid stroke-based flow animations in its original dynamic spirits without flickering artifacts.