Miracle-dz/UniFAR-FTUs huggingface dataset:
International Study of 24-hour Movement Behaviors of Early Years (SUNRISE): A Pilot Study from Bangladesh

Background This pilot study aimed to: (i) determine the proportion of preschool children (ages 3-4 who met the WHO guidelines; (ii) examine the feasibility of the proposed protocol for the SUNRISE study; and (iii) assess the impact of the COVID-19 pandemic on movement behaviors of preschool children in Bangladesh. MethodsTime spent in physical activity, sedentary behavior and sleep were objectively measured using two types of accelerometers (ActiGraph wGT3x-BT and ActivPAL4). Screen time and sleep quality were assessed via parent questionnaire. Fine and gross motor skills were measured using the Ages and Stages Questionnaire (3rdediction). Three executive functions were assessed using the Early Years Toolbox. Focus groups were conducted with parents and childcare staffs to determine the feasibility of the protocol. Follow up data during COVID-19 pandemic was collected from parents over phone. ResultsData from 63 preschool aged children and their parents was analysed in this pilot study. Only three children (4.7%) met the all components of the WHO guidelines. Separately, children meeting physical activity, sedentary screen time and sleep guidelines were 71.9% 17.5% and 59.7% respectively. The proportion of all children who were developmentally on-track for the gross and fine motor skills were 58.7% and 50.8%, respectively. Parents and educators reported that the protocol was feasible except for the activPAL-4 accelerometer. Approximately 39% of children (14 out of 37) who wore this device developed itchy skin and rashes resulting in the suspension of using this device mid-way through data collection. During COVID-19, there was a significant decrease in children’s total physical activity (-193 min/day), and time spent outside on weekdays (-75 min/day) and weekend days (-131 min/day) and a significant increase in sedentary screen time (+85 min/day). ConclusionOnly a low proportion of children met WHO guideline. Methods and devices (except ActivPAL4) used in this pilot study were proved to be feasible and therefore it has paved the way to conduct the main SUNRISE study in Bangladesh. Future measures should be taken to address the issue of movement behaviours of children during the time of pandemics like COVID-19.
Wind tunnel experiments on a NACA 63
 3
 ‐418 airfoil with different types of leading edge roughness

The NACA 63 3 -418 airfoil has been tested in the new Poul la Cour Wind Tunnel at the Technical University of Denmark, Risø campus, to expand the publicly available data of airfoils with leading edge roughness. The airfoil was constructed with an exchangeable leading edge. The clean airfoil showed good agreement with results from other high-quality wind tunnels. The airfoil was equipped with three heights of zigzag tape, a trip strip, three sandpaper types, and leading edge cavities with different modifications. In general, increasing zigzag tape heights reduce the maximum lift, whereas the increase in drag is less affected by the zigzag tape height. Almost the same reduction in maximum lift is seen for the different sandpaper types. However, the drag increases with the coarseness of the sandpaper. The highest zigzag tape and coarsest sandpaper resulted in the highest penalty on the aerodynamics. A combination of sandpaper and cavities showed the largest reduction in maximum lift and the highest increase in drag.
Multilingual Parties and the Ethics of Partisanship

In this article, we argue that within multilingual polities, whether national or transnational, multilingual parties are all-things-considered more desirable than monolingual parties operating via a lingua franca. First, we develop a taxonomy of what we believe are the main ideal-type models of “linguistic democracy,” that is, of the relationship between language and democracy in multilingual polities. Second, we argue that multilingual parties are in a better position than monolingual parties to formulate conceptions of the common good that take into account diverse linguistic and epistemic perspectives. Third, we claim that such parties can perform an educational role for their members and for citizens in general, by making them aware of the implications of linguistic diversity for democratic life. Fourth, we argue that multilingual parties can offer a linkage between citizens and government via forms of intraparty deliberation that are rendered more inclusive and democratic by the use of multiple languages.
Robust Matrix Completion By Exploiting Dynamic Low-Dimensional Structures

This paper studies the robust matrix completion problem for time-varying models. Leveraging the low-rank property and the temporal information of the data, we develop novel methods to recover the original data from partially observed and corrupted measurements. We show that the reconstruction performance can be improved if one further leverages the information of the sparse corruptions in addition to the temporal correlations among a sequence of matrices. The dynamic robust matrix completion problem is formulated as a nonconvex optimization problem, and the recovery error is quantified analytically and proved to decay in the same order as that of the state-of-the-art method when there is no corruption. A fast iterative algorithm with convergence guarantee to the stationary point is proposed to solve the nonconvex problem. Experiments on synthetic data and real video dataset demonstrate the effectiveness of our method.
Using Concept Unique Identifiers to Filter Electronic Health Records for Delirium Cases

Delirium, an acute mental status change associated with inattention, confusion, hypervigilance, or somnolence due to a medical cause, is considered a medical emergency. Unfortunately, screening and diagnosis of delirium in acute care are often inadequate. It is estimated that 60% of delirium cases are not identified, and in claims data, they are underreported. Using information technology, we investigated whether concept unique identifiers from the Unified Language Medical System Metathesaurus could be used as a method to filter electronic health records for possible delirium cases. This article provides the reader with an overview of delirium, the Unified Language Medical System Metathesaurus, and our method for retrospectively filtering electronic health records for delirium cases from our clinical research database. Using a retrospective observational approach, we randomly selected 150 electronic health records with narrative notes containing a delirium concept unique identifier. One hundred records were used for training and 50 were used for validation and interrater reliability. Our results validate electronic health record–selected concept unique identifiers and provide insights into their use. Refinement and application of this method on a larger scale can provide an initial filter for identifying patients with delirium from the electronic health record.
Fluctuations of linear eigenvalue statistics of reverse circulant and symmetric circulant matrices with independent entries

In this article, we study the fluctuations of linear eigenvalue statistics of reverse circulant (RCn) and symmetric circulant (SCn) matrices with independent entries that satisfy some moment conditions. We show that 1nTrϕ(RCn) and 1nTrϕ(SCn) obey the central limit theorem type result, where ϕ is a polynomial test function.
TrustFed: A Framework for Fair and Trustworthy Cross-Device Federated Learning in IIoT

Cross-device federated learning (CDFL) systems enable fully decentralized training networks whereby each participating device can act as a model-owner and a model-producer. CDFL systems need to ensure fairness, trustworthiness, and high-quality model availability across all the participants in the underlying training networks. This article presents a blockchain-based framework, TrustFed, for CDFL systems to detect the model poisoning attacks, enable fair training settings, and maintain the participating devices’ reputation. TrustFed provides fairness by detecting and removing the attackers from the training distributions. It uses blockchain smart contracts to maintain participating devices’ reputations to compel the participants in bringing active and honest model contributions. We implemented the TrustFed using a Python-simulated federated learning framework, blockchain smart contracts, and statistical outlier detection techniques. We tested it over the large-scale industrial Internet of things dataset and multiple attack models. We found that TrustFed produces better results regarding multiple aspects compared with the conventional baseline approaches.
Impact of Lower-extremity Strength on Shoulder Tackle of Female Rugby Players Measured with Sensor System

The purpose of this study was to understand the impact of lower-extremity strength on the shoulder tackle ability of Chinese elite female rugby players. The impact strength of a tackle and the lower-extremity strength were measured by force sensors and an isokinetic strength tester. The results provide a theoretical reference for the specialized strength training of shoulder tackle techniques, relevant technical learning, and sports injury prevention, as well as for improving the defensive ability of shoulder tackles. The lower-extremity isokinetic strengths of the hip, knee, and ankle and the shoulder tackle impact force of 18 Chinese elite female rugby players were measured at fixed angular velocities of 60 and 180°/s by an IsoMed 2000 strength testing instrument and an impact force tester. SPSS 25 software was used to test for a normal distribution by single-sample Kolmogorov–Smirnov (K–S) and independent-sample t-tests and the Pearson correlation test. The following findings were obtained. (1) The bilateral lower-extremity hip, knee, and ankle flexors and extensors had an extremely significant difference ( P < 0.01) at fixed angular velocities of 60 and 180°/s, and the test results of the extensors were greater than those of the flexors. (2) The right knee and left ankle extensors of the lower-extremity isokinetic strength were related to the shoulder tackle impact force. On the basis of these findings, it is suggested that (1) the lower-extremity isokinetic strengths of the front knee and back ankle in dominant-side tackles should be used as indexes to evaluate shoulder tackle ability, and (2) the balanced development of lower-extremity strength can help athletes enhance the defensive capacity of shoulder tackles, promote technical learning, improve the stability of actions, and prevent sports injuries. for the correlation between the lower-extremity strength and the defensive effect of shoulder tackles. In this study, we selected Chinese elite female rugby players as the subjects to implement objective measurements and a characteristic analysis on their isokinetic hip, knee, and ankle strengths and to explore the impact of lower-extremity strength on shoulder tackle techniques. Our results provide a theoretical reference for the specialized strength training, technical learning, and sports injury prevention of Chinese rugby players and provide evidence for relevant research on rugby sports as part of their promotion in China.
A simple analytical formulation for microbubble drag reduction

Substantial drag reductions are observed when microbubbles are injected at a surface. A simple analytical formulation for this phenomenon is presented in this paper. It is based on an argument developed by Lumley [Physics Fluids 20(10), S64 (l977)]. Following this argument, particles having certain physical properties could affect the turbulence in the buffer layer and thus increase the sublayer thickness With, as a result, a drag reduction. A simple model is derived from this concept and compared to the data obtained by Madavan et al. [J. Fluid Mech. 156, 237 (l985)] right downstream of the injection section. The agreement is good which tends to prove that this approach is physically meaningful.
Characteristics and Outcomes of COVID-19 Patients Admitted in the Medical ICU of a Tertiary Public Hospital in the Philippines during the First Two Months of being a COVID-19 Referral Center

Introduction. The University of the Philippines-Philippine General Hospital (UP-PGH) began its operations as a COVID-19 referral center on March 30, 2020. Local studies reporting characteristics of patients in the intensive care units (ICUs) are lacking. Objectives. 1) To describe the baseline characteristics and outcomes of the initial cohort of COVID-19 patients in the medical ICU. 2) To report the initial situation and strategies in the ICU during the first two months of being a COVID-19 referral center. Methods. We conducted a review of records of all patients with confirmed COVID-19 admitted to the medical ICU of UP-PGH between April 1 to May 31, 2020. Patient demographics, comorbidities, APACHE-II score, signs and symptoms, laboratory and radiologic results, respiratory and vasopressor support, and outcomes were collected. Results. Out of 35 patients with confirmed COVID-19, majority were above 60 years old (63%). Hypertension was the most frequent comorbidity (77%). Fever was the most common symptom (51%). The mean duration of symptoms prior admission was 9 ± 7 days. Anemia and leukocytosis with neutrophilia was common. Lactate dehydrogenase (LDH) and high-sensitivity C-reactive protein (HSCRP) were elevated in most patients. Majority of patients (66%) had moderate level of hypoxemia on admission. Bilateral pneumonia on chest radiograph was found in 34 patients. Hydroxychloroquine and chloroquine were the most commonly used drugs. A total of 24 patients (69%) required invasive mechanical ventilation while 15 (43%) needed pressor support. Twenty-two expired (63%) while thirteen (37%) patients were discharged from the medical ICU. Conclusion. The clinical characteristics in our set of patients are consistent with other studies on critically ill patients. Mortality in the medical ICU was high.
You Say You Want a Data Revolution? Taking on Food Systems Accountability

Dramatic improvements in data availability and quality are needed to meet the challenge of monitoring and analyzing food systems, so that appropriate policies and actions to improve human and planetary health can be identified and data-informed accountability mechanisms put in place to strengthen food systems governance. Studying food systems is complex due to diverse actors and interlinking processes that operate on multiple spatial and temporal scales, and their multiple outcomes, which may be subject to hidden feedback mechanisms and tradeoffs. However, descriptive research to characterize food system components and make comparisons across geography, income groups, and population groups is an important foundation. The first part of this article details a series of critical data gaps and limitations that are currently hindering food systems learning and accountability, also comparing these gaps across regions and income groups. The second part of the article introduces the Food Systems Dashboard, a new data visualization tool that aims to improve access to and usage of food systems-related data, thus strengthening the data value chain and better informing policies and actions intended to improve diets, nutrition, livelihoods, and environmental sustainability.
Equity + Wellness: A Call for More Inclusive Physician Wellness Efforts

This article was migrated. The article was marked as recommended. The challenges, importance, and state of physician wellness and burnout have been well documented throughout the literature.Research continues to prove the value of tools and interventions while institutions appear to be listening and adapting important practices. However, although the wellness literature encourages a review of organizational challenges, local needs, and individual solutions, organizations may fail to align these efforts along with equity, diversity, inclusion, and belonging (EDIB). A pandemic and recent events in our society heightened awareness about health inequities, structural violence and racism, and demand that we look within our institutions and health systems. It also demands that we speak of wellness and equity together. We cannot engage in conversations about wellness without asking about equity.because equity and inclusion lead to wellness. We simply cannot expect our healthcare workforce, faculty, and physicians of color to be “well” if they are experiencing exclusion and inequality. In this article, we present the concepts of inclusive excellence and leading with wellness in mind while calling for more inclusive physician wellness efforts.
CT texture analysis of abdominal lesions – Part I.: Liver lesions

Artificial Intelligence and the use of radiomics analysis have been of great interest in the last decade in the field of imaging. CT texture analysis (CTTA) is a new and emerging field in radiomics, which seems promising in the assessment and diagnosis of both focal and diffuse liver lesions. The utilization of CTTA has only been receiving great attention recently, especially for response evaluation and prognostication of different oncological diagnoses. Radiomics, combined with machine learning techniques, offers a promising opportunity to accurately detect or differentiate between focal liver lesions based on their unique texture parameters. In this review article, we discuss the unique ability of radiomics in the diagnostics and prognostication of both focal and diffuse liver lesions. We also provide a brief review of radiogenomics and summarize its potential role of in the non-invasive diagnosis of malignant liver tumors.
Double field theory algebroid and curved L∞-algebras

A double field theory algebroid (DFT algebroid) is a special case of the metric (or Vaisman) algebroid, shown to be relevant in understanding the symmetries of double field theory. In particular, a DFT algebroid is a structure defined on a vector bundle over doubled spacetime equipped with the C-bracket of double field theory. In this paper, we give the definition of a DFT algebroid as a curved L∞-algebra and show how implementation of the strong constraint of double field theory can be formulated as an L∞-algebra morphism. Our results provide a useful step toward coordinate invariant descriptions of double field theory and the construction of the corresponding sigma-model.
Green Ethics in Developing Tourism Village of Badung Regency in Bali

This study attempts to formulate the concept of green ethics which is eclectic in nature combining western and indigenous Balinese ethical virtues to be used in developing tourism village (desa wisata) in Badung regency of Bali. The data was collected through administering closed and open questionnaire and depth interview with 70 respondents belonging to Tetra Helix groups, namely Academician, Business, Government, and Community who pay attention and concern on the establishment of tourism village as destination object in Badung regency. Completing research instrument and data collection, the analysis of data shows that there are seven western and seven Balinese values, which are combined to form the concept of Balinese green ethics to be implemented in developing tourism village. Some of them are similar and become the intersection virtues of both traditions. This study offers a new concept of green ethics, which may be used in developing tourism village in Balinese context. Keywords—green ethics, tetra helix, tourism village, development
Risk-aware Distributed Optimal Power Flow in Coordinated Transmission and Distribution System

Active distribution grids cause bi-directional power flow between transmission system (TS) and distribution system (DS), which not only affects the optimal cost but also the secure operation of the power system. This paper proposes a hybrid co-ordination method to solve risk-aware distributed optimal power flow (RA-DOPF) problem in coordinated transmission and distribution system. For operational risk evaluation, weather-based contingencies are considered in both TS and DS. A hybrid coordination method is developed that entails analytical target cascading (ATC) and benders decomposition(BD). More-over, risk-aware optimal power flow in TS and risk-based security constrained optimal power flow in DS, have been performed using the BD method considering basic optimal powerflow (OPF) as a master problem whereas N-1 and N-2 contingencies as sub-problems. Different case studies are performed using the IEEE 30-bus system with generation reserves as a transmission system and a 13-bus system as a distribution system. Results depict the efficacy of the proposed method.
A system reliability estimation method by the fourth moment saddle point approximation and copula functions

Despite many advances in the field of computational system reliability analysis, estimating the joint probability distribution of correlated non‐normal state variables on the basis of incomplete statistical data brings great challenges for engineers. To avoid multidimensional integration, system reliability estimation usually requires the calculation of marginal failure probability and joint failure probability. The current article proposed an integrated approach for estimating system reliability on the basis of the high moment method, saddle point approximation, and copulas. First, the statistic moment estimation based on the stochastic perturbation theory is presented. Thereafter, by constructing CGF (concise cumulant generating function) for the state variable with its first four statistical moments, a fourth moment saddle point approximation method is established for the component reliability estimation. Second, the copula theory is briefly introduced and extensively utilized two‐dimensional copulas are presented. The best fit copula for estimating the probability of system failure is selected according to the AIC (Akaike Information Criterion). Finally, the derived method is applied to three numerical examples for the sake of a comprehensive validation.
The Processing of Calcium Rich Agricultural and Industrial Waste for Recovery of Calcium Carbonate and Calcium Oxide and Their Application for Environmental Cleanup: A Review

Every year a million tonnes of calcium rich agro and industrial waste are generated around the whole globe. These calcium rich waste like finger citron, shells of cockle, mussel, oysters etc., and egg shell are biological sources which have various organic compounds. The inorganic calcium rich waste includes gypsum, dolomite, sludge etc., which are produced in surplus amount globally. Most of these by-products are mainly dumped, while few are used for land-filling purposes which leads to the pollution. These agro and industrial by-products could be processed for the recovery of calcium carbonate and calcium oxide particles by physical and chemical method. The recovery of calcium carbonate and calcium oxide particles from such by products make them biocompatible. Moreover, the products are economical due to their synthesis from waste materials. Here, in this current review work we have emphasized on the all the calcium rich agro industries and industrial by products, especially their processing by various approaches. Further, we have also focused on the properties and application of such calcium carbonate and oxide particles for the remediation of organic and inorganic pollutants from the environments. The recovery of such particles from these byproducts is considered not only economical and eco-friendly but it also minimizes the pollution present in the form of solid waste.