Miracle-dz/UniFAR-FTUs huggingface dataset:
COVID-19 contact tracing app reviews reveal concerns and motivations around adoption

Background Google and Apple’s Exposure Notifications System (ENS) was developed early in the COVID-19 pandemic to complement existing contact tracing efforts while protecting user privacy. An analysis by the Associated Press released in December 2020 estimated approximately 1 in 14 people had downloaded apps in states one was available. In this study, we assessed the motivation and experience of individuals who downloaded ENS apps from the Google Play and Apple App Stores. Methods We collected review text, star rating, and date of rating for all the reviews on ENS apps in the Google Play and Apple App stores. We extracted the relative frequency of single words and phrases from reviews and created an open vocabulary language, with themes categorized by the research team, to study the salient themes around reviews with high (3–5 stars), neutral (3 stars), and negative (1–2 stars) ratings using logistic regression. Results Of 7622 reviews obtained from 26 states between 04/07/2020 to 03/31/2021, 6364 were from Google Play Store, and 1258 were from Apple App Store. We obtained reviews for a total of 38 apps, with 25 apps from the Google Play Store and 13 apps from the Apple Play Store. 78% of the reviews are either 1 star or 5 stars. Positive reviews were driven by ease of use, support for the state government in creating the app, and encouragement for others to download, as well as engage in other COVID-19 precautions. Negative and neutral reviews focused on issues with app functionality (i.e., installation and tracking errors). Conclusions Uptake was the largest barrier to success for ENS apps, but states can use insight from app store reviews to better position themselves if they choose to develop further public health apps.
Wavelet subband-specific learning for low-dose computed tomography denoising

Deep neural networks have shown great improvements in low-dose computed tomography (CT) denoising. Early algorithms were primarily optimized to obtain an accurate image with low distortion between the denoised image and reference full-dose image at the cost of yielding an overly smoothed unrealistic CT image. Recent research has sought to preserve the fine details of denoised images with high perceptual quality, which has been accompanied by a decrease in objective quality due to a trade-off between perceptual quality and distortion. We pursue a network that can generate accurate and realistic CT images with high objective and perceptual quality within one network, achieving a better perception-distortion trade-off. To achieve this goal, we propose a stationary wavelet transform-assisted network employing the characteristics of high- and low-frequency domains of the wavelet transform and frequency subband-specific losses defined in the wavelet domain. We first introduce a stationary wavelet transform for the network training procedure. Then, we train the network using objective loss functions defined for high- and low-frequency domains to enhance the objective quality of the denoised CT image. With this network design, we train the network again after replacing the objective loss functions with perceptual loss functions in high- and low-frequency domains. As a result, we acquired denoised CT images with high perceptual quality using this strategy while minimizing the objective quality loss. We evaluated our algorithms on the phantom and clinical images, and the quantitative and qualitative results indicate that ours outperform the existing state-of-the-art algorithms in terms of objective and perceptual quality.
Prediction model for an early revision for dislocation after primary total hip arthroplasty

Dislocation is one of the most common complications after primary total hip arthroplasty (THA). Several patient-related risk factors for dislocation have been reported in the previous literature, but only few prediction models for dislocation have been made. Our aim was to build a prediction model for an early (within the first 2 years) revision for dislocation after primary THA using two different statistical methods. The study data constituted of 37 pre- or perioperative variables and postoperative follow-up data of 16 454 primary THAs performed at our institution in 2008–2021. Model I was a traditional logistic regression model and Model II was based on the elastic net method that utilizes machine learning. The models’ overall performance was measured using the pseudo R2 values. The discrimination of the models was measured using C-index in Model I and Area Under the Curve (AUC) in Model II. Calibration curves were made for both models. At 2 years postoperatively, 95 hips (0.6% prevalence) had been revised for dislocation. The pseudo R2 values were 0.04 in Model I and 0.02 in Model II indicating low predictive capability in both models. The C-index in Model I was 0.67 and the AUC in Model II was 0.73 indicating modest discrimination. The prediction of an early revision for dislocation after primary THA is difficult even in a large cohort of patients with detailed data available because of the reasonably low prevalence and multifactorial nature of dislocation. Therefore, the risk of dislocation should be kept in mind in every primary THA, whether the patient has predisposing factors for dislocation or not. Further, when conducting a prediction model, sophisticated methods that utilize machine learning may not necessarily offer significant advantage over traditional statistical methods in clinical setup.
The induced motion effect is a high-level visual phenomenon: Psychophysical evidence

Induced motion is the illusory motion of a target away from the direction of motion of the unattended background. If it is a result of assigning background motion to self-motion and judging target motion relative to the scene as suggested by the flow parsing hypothesis then the effect must be mediated in higher levels of the visual motion pathway where self-motion is assessed. We provide evidence for a high-level mechanism in two broad ways. Firstly, we show that the effect is insensitive to a set of low-level spatial aspects of the scene, namely, the spatial arrangement, the spatial frequency content and the orientation content of the background relative to the target. Secondly, we show that the effect is the same whether the target and background are composed of the same kind of local elements—one-dimensional (1D) or two-dimensional (2D)—or one is composed of one, and the other composed of the other. The latter finding is significant because 1D and 2D local elements are integrated by two different mechanisms so the induced motion effect is likely to be mediated in a visual motion processing area that follows the two separate integration mechanisms. Area medial superior temporal in monkeys and the equivalent in humans is suggested as a viable site. We present a simple flow-parsing-inspired model and demonstrate a good fit to our data and to data from a previous induced motion study.
4DEnVar: link with 4D state formulation of variational assimilation and different possible implementations

The four‐dimensional ensemble variational (4DEnVar) formulation is receiving increasing interest, especially in numerical weather prediction centres, which until now have mostly relied on the four‐dimensional variational (4D‐Var) formalism. It may indeed combine some of the best features of variational and ensemble methods. In this article, it is shown that the 4DEnVar formulation is linked with the 4D state formulation of variational assimilation, and that the 4DEnVar is relatively easy to precondition, in addition of being parallelizable. Practical implementations of the 4DEnVar are also investigated and two new preconditioned algorithms are proposed. The hybrid formulation of 4DEnVar, combining static and ensemble background‐error covariances, is discussed for the different possible algorithms. An application of the proposed implementations of 4DEnVar is shown with the Burgers model and compared to the use of 4D‐Var.
Communication-optimal Distributed Principal Component Analysis in the Column-partition Model

We study the Principal Component Analysis (PCA) problem in the distributed and streaming models of computation. Given a matrix $A \in R^{m \times n},$ a rank parameter $k < rank(A)$, and an accuracy parameter $0 < \epsilon < 1$, we want to output an $m \times k$ orthonormal matrix $U$ for which $$ || A - U U^T ||_F^2 \le \left(1 + \epsilon \right) \cdot || A - A_k||_F^2, $$ where $A_k \in R^{m \times n}$ is the best rank-$k$ approximation to $A$. This paper provides improved algorithms for distributed PCA and streaming PCA.
Species abundance correlations carry limited information about microbial network interactions

Unraveling the network of interactions in ecological communities is a daunting task. Common methods to infer interspecific interactions from cross-sectional data are based on co-occurrence measures. For instance, interactions in the human microbiome are often inferred from correlations between the abundances of bacterial phylogenetic groups across subjects. We tested whether such correlation-based methods are indeed reliable for inferring interaction networks. For this purpose, we simulated bacterial communities by means of the generalized Lotka-Volterra model, with variation in model parameters representing variability among hosts. Our results show that correlations can be indicative for presence of bacterial interactions, but only when measurement noise is low relative to the variation in interaction strengths between hosts. Indication of interaction was affected by type of interaction network, process noise and sampling under non-equilibrium conditions. The sign of a correlation mostly coincided with the nature of the strongest pairwise interaction, but this is not necessarily the case. For instance, under rare conditions of identical interaction strength, we found that competitive and exploitative interactions can result in positive as well as negative correlations. Thus, cross-sectional abundance data carry limited information on specific interaction types. Correlations in abundance may hint at interactions but require independent validation.
Head and neck surgical oncology

During the past five decades, major technological advances, including availability of imaging techniques such as computed tomography, magnetic resonance imaging, and positron emission tomography scans, have improved accurate assessment of tumors. Major advances in reconstructive surgery with development of microvascular free‐flap reconstruction have made one‐stage resection and reconstruction a reality, leading to a better quality of life. Multimodality treatments combining chemotherapy with radiation have led to development of organ preservation strategies and improved locoregional control of head and neck cancer.
Plasma D-dimer levels are correlated with disease severity among hypertensive patients: A comparative cross-sectional study

It has been reported that inappropriate acute thrombus formation is the pathophysiological substrate underlying increased risk and severity of target organ damage in hypertension (HTN). However, the relationship between severity of HTN and D-dimer has not been well characterized. The study was aimed to assess plasma D-dimer level and its correlation with disease severity among hypertensives. A comparative cross-sectional study was conducted at Wuhan Asia Heart Hospital among 100 participants (60 hypertensives and 40 controls). The correlation between variables were determined using correlation coefficients, regression analysis, and also using different parametric and nonparametric tests. We observed higher D-dimer levels among hypertensives compared to the healthy controls (P < .001). The D-dimer levels were found to be increased significantly with the severity of HTN (P < .001). D-dimer was found to have a diagnostic power of 86.9% in differentiating complicated from uncomplicated HTN at 0.83 mg/L cutoff value. This study suggests that D-dimer level was higher among hypertensives than control groups and it was also increasing significantly with the severity of HTN. This suggests that hypercoagulability of fibrin plays a role in the occurrence of thromboembolic complications of hypertensive patients.
Exploring user perspectives on a robotic arm with brain–machine interface: A qualitative focus group study

Brain–machine Interface (BMI) is a system that translates neuronal data into an output variable to control external devices such as a robotic arm. A robotic arm can be used as an assistive living device for individuals with tetraplegia. To reflect users’ needs in the development process of the BMI robotic arm, our team followed an interactive approach to system development, human-centered design, and Human Activity Assistive Technology model. This study aims to explore the perspectives of people with tetraplegia about activities they want to participate in, their opinions, and the usability of the BMI robotic arm. Eight people with tetraplegia participated in a focus group interview in a semistructured interview format. A general inductive analysis method was used to analyze the qualitative data. The 3 overarching themes that emerged from this analysis were: 1) activities, 2) acceptance, and 3) usability. Activities that the users wanted to do using the robotic arm were categorized into the following 5 activity domains: activities of daily living (ADL), instrumental ADL, health management, education, and leisure. Participants provided their opinions on the needs and acceptance of the BMI technology. Participants answered usability and expected standards of the BMI robotic arm within 7 categories such as accuracy, setup, cost, etc. Participants with tetraplegia have a strong interest in the robotic arm and BMI technology to restore their mobility and independence. Creating BMI features appropriate to users’ needs, such as safety and high accuracy, will be the key to acceptance. These findings from the perspectives of potential users should be taken into account when developing the BMI robotic arm.
Sinonasal Bacteroma/Bacteria-related Concretions

Patients can be seen where “fungal debris,” “mycetoma,” or “mass-like obstruction” of the sinonasal tract is suspected clinically but lack fungus and instead have granular, eosinophilic debris and bacterial colonies. We report and characterize 15 such cases, tentatively termed “bacteromas,” compared with randomly selected cases of mycetoma and allergic fungal sinusitis (AFS). Pathology reports from 2016 to 2021 were searched. All candidate cases were examined microscopically and included if they had granular, amorphous debris with negative Grocott methenamine silver staining and lacked diagnostic features of other entities. The 7 males and 8 females ranged from 21 to 78 years old. Imaging frequently revealed opacification of the paranasal sinuses. Operative reports showed all to have paranasal sinus involvement. Most were unilateral (13/15, 87%). The maxillary sinus was involved in 11/15 (73%) cases, sphenoid sinus in 2/15 (13%), and frontal and ethmoid sinuses in 1/15 (7%), each. Bacteroma patients frequently had a history of allergic rhinitis (8/15, 53%), more than mycetomas (1/15, 7%) and AFS (5/15, 33%) (P=0.0142). Facial pain was a common presenting symptom (13/15, 87%) in bacteromas compared with mycetomas (5/15, 33%) or AFS (1/15, 7%). Morphologically, cases consisted of large aggregates of paucicellular to acellular debris with a characteristic densely eosinophilic granular appearance, commonly associated with bacteria. Four of the 10 cultured patients grew Pseudomonas aeruginosa. Course posttreatment ranged from symptom resolution 1 week postoperatively to recurrent infections and symptoms 23 months from the initial operation. In summary, “bacteroma” is a heretofore undescribed pathologic entity of the sinuses that appears to be related to chronic bacterial infection and is distinct from mycetoma, AFS, and rhinolithiasis.
Fifty‐year history of the evolution of spinal metastatic disease management

Spine metastases are a significant source of morbidity in oncology. Treatment of these spine metastases largely remains palliative, but advances over the past 50 years have improved the effectiveness of interventions for preserving functional status and obtaining local control while minimizing morbidity. While the field began with conventional external beam radiation as the primary treatment modality, a series of paradigm shifts and technological advances in the 2000s led to a change in treatment patterns. These advances allowed for an increased role of surgical decompression of neural elements, a shift in the stereotactic capabilities of radiation oncologists, and an improved understanding of the radiobiology of metastatic disease. The result was improved local control while minimizing treatment morbidity. These advances fit within the larger framework of metastatic spine tumor management known as the Neurologic, Oncologic, Mechanical, and Systemic disease decision framework. This dynamic framework takes into account the neurological function of the patient, the radiobiology of their tumor, their degree of mechanical instability, and their systemic disease control and treatment options to help determine appropriate interventions based on the individual patient. Herein, we describe the 50‐year evolution of metastatic spine tumor management and the impact of various advances on the field.
Genome-wide scan for runs of homozygosity in Asian wild boars and Anqing six-end-white pigs.

Inbreeding and loss of genetic diversity are serious problems in local Chinese pig breeds. Runs of homozygosity (ROHs) are contiguous lengths of homozygous genotypes that can provide information on inbreeding levels, mating schemes, selection pressure, and genetic events. The Anqing six-end-white (AQ) pig, an important autochthonous pig breed bred in the Anhui province of China, plays a key role in the local pig industry. In recent decades, AQ pigs have become a closed breed with a small population size in conservation farms, raising the issue of inbreeding decline. In this study, we used 10× resequencing to detect the whole genome of 24 AQ pigs and six Asian wild boars (AWBs). We used the Plink software to analyze the homozygosity of the genome and the distribution of ROHs in the genome based on the resequencing data. We obtained 935.04 Gb of raw data from the resequencing results and more than 45 822 239 SNPs. Additionally, we identified 28 702 ROHs. Compared with AWB, AQ pigs had higher ROH numbers, longer ROH rates, and higher FROH values, which revealed that artificial selection influenced ROH distribution and genome inbreeding level. A total of 307 and 205 ROH islands were identified in the AQ pigs and AWBs respectively. The genes of ROH islands in AQ pigs were mainly enriched in immune biological processes. Our findings provide a useful reference for developing breeding programs to maintain genetic diversity and germplasm resources in AQ pigs.
Natural corrosion-induced gold nanoparticles yield purple color of Alhambra palaces decoration

Despite its fame as a chemically inert noble metal, gold (alloys) may suffer degradation under specific scenarios. Here, we show evidence of electrochemically corroded gilded tin plasterwork in the Alhambra (Granada, Spain) driving spontaneously made gold nanospheres with the optimal size (ca. 70 nm) to impart purple color at the surface. Purple gold on damaged artworks is found sparsely, and its formation is not fully explained yet. We prove that our decayed gold/silver-tin ornament is due to sequential/coexisting galvanic corrosion, differential aeration corrosion, and dealloying of nonperfectly bonded and defect-based metals. Damage is enhanced by exposure to a chloride-rich atmosphere. A white gypsum coat applied during the 19th century to overlap the unaesthetic gilding assists observation of the gold-based purple color. Our work demonstrates gold dissolution, millimetric migration, physical translocation, and deposition as secondary pure gold nanospheres over a centurial time scale under natural environmental conditions.
Increasing the Corrected Field of View of an Adaptive Optical Telescope

Abstract : Current adaptive optical telescope designs use a single deformable mirror (DM) to compensate for atmospheric distortion. The corrected field of view (FOV) of an adaptive optics system could be increased through the use of multiple DMs optically conjugated to corresponding planes which sample the turbulence region in altitude. Often, the atmospheric turbulence responsible for the degradation of telescope images is concentrated in several layers. Each DM would correct for the component of the total wavefront in the pupil contributed by one or more layers. If the atmosphere does not possess a layered structure, the best fit of the turbulence profile can be made to a layered model. This dissertation describes and analyzes two novel methods for estimating the proper DM surfaces which would result in wide-FOV compensation. Both methods use multiple wavefront sensor measurements to estimate the three-dimensional turbulence structure. The wavefront measurements are made using artificial guide stars created by scattered laser light. The analysis includes the effects of noise, realistic models of systems components, and the limitations of artificial guide stars. It is shown that multiple-DM, multiple-guide-star systems can significantly increase the compensated FOV relative to single-DM, single-guide star systems.
Cysteine protease of Clonorchis sinensis alleviates DSS-induced colitis in mice

Background Currently, inflammatory bowel disease (IBD) has become a global chronic idiopathic disease with ever-rising morbidity and prevalence. Accumulating evidence supports the IBD-hygiene hypothesis that helminths and their derivatives have potential therapeutic value for IBD. Clonorchis sinensis (C. sinensis) mainly elicit Th2/Treg-dominated immune responses to maintain long-term parasitism in the host. This study aimed to evaluate the therapeutic effects of cysteine protease (CsCP) and adult crude antigen (CsCA) of C. sinensis, and C. sinensis (Cs) infection on DSS-induced colitis mice. Methods BALB/c mice were given 5% DSS daily for 7 days to induce colitis. During this period, mice were treated with rCsCP, CsCA or dexamethasone (DXM) every day, or Cs infection which was established in advance. Changes in body weight, disease activity index (DAI), colon lengths, macroscopic scores, histopathological findings, myeloperoxidase (MPO) activity levels, regulatory T cell (Treg) subset levels, colon gene expression levels, serum cytokine levels, and biochemical indexes were measured. Results Compared with Cs infection, rCsCP and CsCA alleviated the disease activity of acute colitis more significant without causing abnormal blood biochemical indexes. In comparison, rCsCP was superior to CsCA in attenuating colonic pathological symptoms, enhancing the proportion of Treg cells in spleens and mesenteric lymph nodes, and improving the secretion of inflammatory-related cytokines (e.g., IL-2, IL-4, IL-10 and IL-13) in serum. Combined with RNA-seq data, it was revealed that CsCA might up-regulate the genes related to C-type lectin receptor and intestinal mucosal repair related signal pathways (e.g., Cd209d, F13a1 and Cckbr) to reduce colon inflammation and benefit intestinal mucosal repair. Dissimilarly, rCsCP ameliorated colitis mainly through stimulating innate immunity, such as Toll like receptor (TLR) signaling pathway, down-regulating the expression of inflammatory cytokines (e.g., IL-12b, IL-23r and IL-7), thereby restraining the differentiation of Th1/Th17 cells. Conclusions Both rCsCP and CsCA showed good therapeutic effects on the treatment of acute colitis, but rCsCP is a better choice. rCsCP is a safe, effective, readily available and promising therapeutic agent against IBD mainly by activating innate immunity and regulating the IL-12/IL-23r axis.