Miracle-dz/UniFAR-FTUs huggingface dataset:
The Optimized Design of a NPC Three-Level Inverter Forced-Air Cooling System Based on Dynamic Power-loss Calculations of the Maximum Power-Loss Range

In some special occasions with strict size requirements, such as mine hoists, improving the design accuracy of the forced-air cooling systems of NPC three-level inverters is a key technology for improving the power density and decreasing the volume. First, a fast power-loss calculation method was brought. Its calculation principle introduced in detail, and the computation formulas were deduced. Secondly, the average and dynamic power losses of a 1MW mine hoist acting as the research target were analyzed, and a forced-air cooling system model based on a series of theoretical analyses was designed with the average power loss as a heat source. The simulation analyses proves the accuracy and effectiveness of this cooling system during the unit lifting period. Finally, according to an analysis of the periodic working condition, the maximum power-loss range of a NPC three-level inverter under multi cycle operation was obtained and its dynamic power loss was taken into the optimized cooling system model as a heat source to solve the power device damage caused by instantaneous heat accumulation. The effectiveness and feasibility of the optimization design based on the dynamic power loss calculation of the maximum power-loss range was proved by simulation and experimental results.
An Effective Photoplethysmography Heart Rate Estimation Framework Integrating Two-Level Denoising Method and Heart Rate Tracking Algorithm Guided by Finite State Machine

In order to achieve accurate heart rate (HR) estimation in complex scenes, this paper presents an effective photoplethysmography (PPG) HR estimation framework integrating two-level denoising method and HR tracking algorithm guided by finite state machine (FSM). Aiming at solving the problems of low signal-to-noise ratio and co-frequency (the noise frequency is close to the HR frequency) caused by motion artifacts, the two-level denoising method consisting of the cascaded adaptive filtering and the differential denoising guided by FSM are designed to remove motion-related noises in PPG signals. In order to solve the problem of HR tracking error caused by poor wrist contact, the HR tracking algorithm guided by FSM is proposed to obtain the global optimization capability. The results of HR estimation experiments conducted on the IEEE Signal Processing Cup database and the WeData database created by ourselves show that the proposed framework can effectively cope with the problems of low signal-to-noise ratio and co-frequency. Even if tracking errors occur due to poor wristband contact, the proposed HR tracking algorithm guided by FSM can correct them in time when the HR component appears again. The average absolute error of HR estimation on the two databases are 1.76 BPM (beats per minute) and 2.77 BPM, respectively, which is more accurate compared to other algorithms.
Factors Associated With Bullying Victimization and Bullying Perpetration in Children and Adolescents With ADHD: 2016 to 2017 National Survey of Children’s Health

Objective: To identify characteristics associated with bullying involvement in pediatric ADHD. Methods: Data from the 2016 to 2017 National Survey of Children’s Health for children aged 6 to 17 years with ADHD were evaluated to assess the association between parent-reported bullying victimization or perpetration and the following potential predictors: demographic characteristics, family factors, school factors, and child conditions/behaviors. Results: Among children with ADHD, 46.9% were bullying victims and 16.2% were perpetrators. Factors associated with victimization included having family financial strain, developmental delay or intellectual disability, friendship difficulties, and school reports about problems. Factors linked to perpetration included being male, receiving government assistance, lack of school engagement, school reports about problems, and having difficulties with friendships, staying calm, and arguing. Conclusions: Children with ADHD frequently were bullying victims and sometimes bullying perpetrators. Factors related to family financial strain, developmental disabilities, emotional regulation, peer relationships, and school functioning may help to identify risk for bullying and opportunities for anti-bullying interventions.
Physiologic and compositional coronary artery disease extension in patients with takotsubo syndrome assessed using artificial intelligence: an optical coherence tomography study

Background Takotsubo syndrome (TTS) is an acute and reversible ventricular motion abnormality without epicardial coronary obstruction. Optical flow ratio (OFR) is an approach to evaluate the coronary stenosis significance based on three-dimensional optical coherence tomography (3D-OCT). The aim of this study is to utilize OCT and an artificial intelligence plaque characterization model to show the prevalence and composition of atherosclerotic disease in coronary vessels of patients with TTS. Methods This is a retrospective and observational study which enrolled patients with TTS who underwent coronary angiography and OCT examination. OCT images were analyzed for tissue characterization and OFR computation using a novel artificial intelligence algorithm. Results A total of 37 patients and 49 vessels were studied. All patients were imaged in the left anterior descending coronary artery (LAD) and about two-thirds were also imaged in the left circumflex coronary artery (LCX). Most patients were women (n = 35), and apical was the most common takotsubo type. Tissue composition analysis yielded the following overall plaque types: fibrous (67.1%), lipid (15.5%), and calcium (3.77%). The mean OFR for LAD and LCX was 0.97 ± 0.04 and 0.98 ± 0.02, respectively. Conclusion Utilizing automatic plaque characterization on OCT images by artificial intelligence, we found that TTS patients have coronary artery disease (i.e. presence of lipid, calcified, or fibrous tissue). The advent of artificial intelligence methods may allow for large-scale studies of patients with TTS.
BIODICA: a computational environment for Independent Component Analysis of omics data

SUMMARY We developed BIODICA, an integrated computational environment for application of Independent Component Analysis (ICA) to bulk and single-cell molecular profiles, interpretation of the results in terms of biological functions and correlation with metadata. The computational core is the novel Python package stabilized-ica which provides interface to several ICA algorithms, a stabilization procedure, meta-analysis and component interpretation tools. BIODICA is equipped with a user-friendly graphical user interface, allowing non-experienced users to perform the ICA-based omics data analysis. The results are provided in interactive ways, thus facilitating communication with biology experts. AVAILABILITY AND IMPLEMENTATION BIODICA is implemented in Java, Python and JavaScript. The source code is freely available on GitHub under the MIT and the GNU LGPL licenses. BIODICA is supported on all major operating systems. URL https://sysbio-curie.github. io/biodica-environment/.
In vitro physicochemical characterization of five root canal sealers and their influence on an ex vivo oral multi‐species biofilm community

Abstract Aim To evaluate the physicochemical properties of five root canal sealers and assess their effect on an ex vivo dental plaque‐derived polymicrobial community. Methodology Dental plaque‐derived microbial communities were exposed to the sealers (AH Plus [AHP], GuttaFlow Bioseal [GFB], Endoseal MTA [ESM], Bio‐C sealer [BCS] and BioRoot RCS [BRR]) for 3, 6 and 18 h. The sealers' effect on the biofilm biomass and metabolic activity was quantified using crystal violet (CV) staining and MTT assay, respectively. Biofilm community composition and morphology were assessed by denaturing gradient gel electrophoresis (DGGE), 16S rRNA sequencing and scanning electron microscopy. The ISO6876:2012 specifications were followed to determine the setting time, radiopacity, flowability and solubility. Obturated acrylic teeth were used to assess the sealers' effect on pH. Surface chemical characterization was performed using SEM with coupled energy‐dispersive spectroscopy. Data normality was assessed using the Shapiro–Wilk test. One‐way anova and Tukey's tests were used to analyze data from setting time, radiopacity, flowability and solubility. Two‐way anova and Dunnett's tests were used for the data analysis from CV, MTT and pH. 16S rRNA sequencing data were analyzed for alpha (Shannon index and Chao analysis) and beta diversity (Bray–Curtis dissimilarities). Differences in community composition were evaluated by analysis of similarity (p < .05). Results The sealers significantly influenced microbial community composition and morphology. All sealers complied with ISO6876:2012 requirements for setting time, radiopacity and flowability. Although only AHP effectively reduced the biofilm biomass, all sealers, except BRR, reduced biofilm metabolic activity. Conclusion Despite adequate physical properties, none of the sealers tested prevented biofilm growth. Significant changes in community composition were observed. If observed in vivo, these changes could affect intracanal microbial survival, pathogenicity and treatment outcomes.
Intercolony Comparisons of Gut Microbiome Composition From Lab Reared Eastern Subterranean Termites (Blattodea: Rhinotermitidae)

Abstract Termites are social insects living in colonies composed of worker, soldier, and reproductive castes. Termite hindguts are inhabited by all three domains of life- Eukarya (protists), Bacteria, and Archaea. These gut microorganisms are horizontally and vertically transferred by nestmates and reproductives, respectively. Prior evidence suggests that every colony potentially has a different gut microbiome that was transferred vertically and horizontally over time. However, we do not know if different colonies reared in the laboratory on the same diet will ultimately demonstrate similar microbial composition and structure. Therefore, we looked at gut bacteria in Eastern subterranean termite (Reticulitermes flavipes) colonies that were reared in the laboratory with identical diets and rearing conditions. Based on16S rRNA gene sequencing, the observed features, and Shannon’s diversity were significantly different between the colonies while differences in Pielou evenness and Faith phylogenetic diversity were not statistically significant. In addition, the microbial community structures were significantly different between colonies. Based on ANCOM (Analysis of Composition of Microbiomes), the taxa Elizabethkingia (Bacteroidetes: Flavobacteriales) and Chryseobacterium (Bacteroidetes: Flavobacteriales) were differentially abundant between the colonies. These results suggest that providing the exact same diet and rearing environment for >2 yr cannot result in identical gut microbiomes between termite colonies.
Environment Mediates the Relationship Between Preschoolers Functioning and Involvement in Out-of-School Activities

This study aims to understand the associations between child functioning and environmental barriers and the involvement of preschool children, with and without disabilities, in out-of-school activities, namely, home and community activities. Particularly, we aimed to investigate if environmental barriers mediate the relationship between child functioning and their involvement in these activities. Parents of 116 preschool-aged children (42 children with disabilities) reported on children’s involvement and environmental factors at home and in the community. Preschool teachers assessed child functioning. Multiple linear regressions and mediation analysis were performed. Results indicated significant associations between child functioning, perceived environmental barriers, and involvement at home and in the community. A significant indirect association of child functioning on involvement through the perception of environmental barriers was found in both contexts. Findings support the biopsychosocial model of participation and a focus on environmental features by practitioners designing and implementing intervention strategies.
Efficient immobilized phospholipase A1 on Mo‐basing nanomaterials for enzymatic degumming

Six kinds of Mo‐basing nanomaterials (MoO3, MoO3@Ru, Mo‐PDA, MoPC, MoP, CNT@MoS2) were successfully synthesized, which were employed as carriers to immobilize phospholipase A1 (PLA1) for the hydrolysis of phospholipids (PLs). PLA1 was immobilized by a simple adsorption‐precipitation‐cross‐linking to form an “enzyme net” covering on nanoparticles. The greatest advantage of these nanoparticles was their strong hydrophilic surface. It not only permitted their dispersion in the aqueous phase, but also showed the strong affinity for PLs in the organic phase, because amphiphilic PLs had the polar head group and higher hydrophilicity than other oils components. Michaelis–Menten analysis revealed that higher catalytic activity and enzyme−substrate affinity were observed in several immobilized PLA1 than its free form. MoO3 was confirmed to be the best candidate for carrier. The highest specific activity of MoO3‐immobilized PLA1 reached 43.1 U/mg, which was about 1.8 times higher than that of free PLA1 (24.4 U/mg). In addition, the stability and recycling were also enhanced. The robust immobilized PLA1 was prepared in this work, showing great potential for the enzymatic degumming.
DNA Input Classification by a Riboregulator-Based Cell-Free Perceptron

The ability to recognize molecular patterns is essential for the continued survival of biological organisms, allowing them to sense and respond to their immediate environment. The design of synthetic gene-based classifiers has been explored previously; however, prior strategies have focused primarily on DNA strand-displacement reactions. Here, we present a synthetic in vitro transcription and translation (TXTL)-based perceptron consisting of a weighted sum operation (WSO) coupled to a downstream thresholding function. We demonstrate the application of toehold switch riboregulators to construct a TXTL-based WSO circuit that converts DNA inputs into a GFP output, the concentration of which correlates to the input pattern and the corresponding weights. We exploit the modular nature of the WSO circuit by changing the output protein to the Escherichia coli σ28-factor, facilitating the coupling of the WSO output to a downstream reporter network. The subsequent introduction of a σ28 inhibitor enabled thresholding of the WSO output such that the expression of the downstream reporter protein occurs only when the produced σ28 exceeds this threshold. In this manner, we demonstrate a genetically implemented perceptron capable of binary classification, i.e., the expression of a single output protein only when the desired minimum number of inputs is exceeded.
Minoritized Sexual Identity and Perceived Effectiveness of Instagram Public Health Messaging about E-cigarettes

E-cigarette (EC) use in young adult sexual-minoritized women (SMW) is disproportionately higher than among heterosexual women and sexual-minoritized men. Public health messaging utilizing social branding, a method used to tailor health messages to one’s identity, may help combat this problem. We conducted an online study with SMW (N= 457) and asked them to complete scales assessing their sexual minoritized identity affirmation and centrality. Participants were randomized to view socially branded messages discouraging EC use across three themes (general wellness, pride, health harms). Results revealed that overall lesbian, bisexual, or queer (LBQ) identity (affirmation and centrality) was significantly positively associated with perceived message effectiveness (PME) (p < .001). Identity affirmation was significantly associated with PME when controlling for identity centrality (p = .004). Interaction between identity affirmation and theme was significant (p= .02), as positive effects of identity affirmation on PME were greater when participants viewed pride-themed messages versus wellness (p= .03) or harms messages (p = .01). The findings suggest that socially branded EC prevention messages emphasizing sexual minoritized identity may be more effective for SMW with a strong connection to their LBQ identity. Future research should examine how identity and socially branded messages can impact health behaviors.
Frequency‐dependent modulation of neural oscillations across the gait cycle

Balance and walking are fundamental to support common daily activities. Relatively accurate characterizations of normal and impaired gait features were attained at the kinematic and muscular levels. Conversely, the neural processes underlying gait dynamics still need to be elucidated. To shed light on gait‐related modulations of neural activity, we collected high‐density electroencephalography (hdEEG) signals and ankle acceleration data in young healthy participants during treadmill walking. We used the ankle acceleration data to segment each gait cycle in four phases: initial double support, right leg swing, final double support, left leg swing. Then, we processed hdEEG signals to extract neural oscillations in alpha, beta, and gamma bands, and examined event‐related desynchronization/synchronization (ERD/ERS) across gait phases. Our results showed that ERD/ERS modulations for alpha, beta, and gamma bands were strongest in the primary sensorimotor cortex (M1), but were also found in premotor cortex, thalamus and cerebellum. We observed a modulation of neural oscillations across gait phases in M1 and cerebellum, and an interaction between frequency band and gait phase in premotor cortex and thalamus. Furthermore, an ERD/ERS lateralization effect was present in M1 for the alpha and beta bands, and in the cerebellum for the beta and gamma bands. Overall, our findings demonstrate that an electrophysiological source imaging approach based on hdEEG can be used to investigate dynamic neural processes of gait control. Future work on the development of mobile hdEEG‐based brain–body imaging platforms may enable overground walking investigations, with potential applications in the study of gait disorders.
Wind turbine rotor simulation using the actuator disk and actuator line methods

The present paper focuses on wind turbine rotor modeling for loads and wake flow prediction. Two steady-state models based on the actuator disk approach are considered, using either a uniform thrust or a blade element momentum calculation of the wind turbine loads. A third model is based on the unsteady-state actuator line approach. Predictions are compared with measurements in wind tunnel experiments and in atmospheric environment and the capabilities and weaknesses of the different models are addressed.
Online Searching as a Practice for Evidence-Based Medicine in the Neonatal Intensive Care Unit, University of Malaya Medical Center, Malaysia: Cross-sectional Study

Background The use of the internet for research is essential in the practice of evidence-based medicine. The online search habits of medical practitioners in clinical settings, particularly from direct observation, have received little attention. Objective The goal of the research is to explore online searching for information as an evidence-based practice among medical practitioners. Methods A cross-sectional study was conducted to evaluate the clinical teams’ use of evidence-based practice when making clinical decisions for their patients' care. Data were collected through online searches from 2015 to 2018. Participants were medical practitioners and medical students in a Malaysian public teaching hospital’s neonatal intensive care unit who performed online searches to find answers to clinical questions that arose during ward rounds. Results In search sessions conducted by the participants, 311 queries were observed from 2015 to 2018. Most participants (34/47, 72%) were house officers and medical students. Most of the searches were conducted by house officers (51/99, 52%) and medical students (32/99, 32%). Most searches (70/99, 71%) were directed rather than self-initiated, and 90% (89/99) were completed individually rather than collaboratively. Participants entered an average of 4 terms in each query; three-quarters of the queries yielded relevant evidence, with two-thirds yielding more than one relevant source of evidence. Conclusions Our findings suggest that junior doctors and medical students need more training in evidence-based medicine skills such as clinical question formulation and online search techniques for performing independent online searches effectively. However, because the findings were based on intermittent opportunistic observations in a specific clinical setting, they may not be generalizable.
Quantifying the Probing and Selection of Microenvironmental Pores by Motile Immune Cells

Immune cells are constantly on the move through multicellular organisms to explore and respond to pathogens and other harmful insults. While moving, immune cells efficiently traverse microenvironments composed of tissue cells and extracellular fibers, which together form complex environments of various porosity, stiffness, topography, and chemical composition. In this protocol we describe experimental procedures to investigate immune cell migration through microenvironments of heterogeneous porosity. In particular, we describe micro‐channels, micro‐pillars, and collagen networks as cell migration paths with alternative pore size choices. Employing micro‐channels or micro‐pillars that divide at junctions into alternative paths with initially differentially sized pores allows us to precisely (1) measure the cellular translocation time through these porous path junctions, (2) quantify the cellular preference for individual pore sizes, and (3) image cellular components like the nucleus and the cytoskeleton. This reductionistic experimental setup thus can elucidate how immune cells perform decisions in complex microenvironments of various porosity like the interstitium. The setup further allows investigation of the underlying forces of cellular squeezing and the consequences of cellular deformation on the integrity of the cell and its organelles. As a complementary approach that does not require any micro‐engineering expertise, we describe the usage of three‐dimensional collagen networks with different pore sizes. Whereas we here focus on dendritic cells as a model for motile immune cells, the described protocols are versatile as they are also applicable for other immune cell types like neutrophils and non‐immune cell types such as mesenchymal and cancer cells. In summary, we here describe protocols to identify the mechanisms and principles of cellular probing, decision making, and squeezing during cellular movement through microenvironments of heterogeneous porosity. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC.