Miracle-dz/UniFAR-FTUs huggingface dataset:
In Vitro Model of Fully Differentiated Human Nasal Epithelial Cells Infected With Rhinovirus Reveals Epithelium-Initiated Immune Responses

Human rhinoviruses (HRVs) are the commonest cause of the common cold. While HRV is less pathogenic than other respiratory viruses, it is frequently associated with exacerbation of chronic respiratory diseases such as rhinosinusitis and asthma. Nasal epithelial cells are the first sites of viral contact, immune initiation, and airway interconnectivity, but there are limited studies on HRV infection of nasal epithelial cells. Hence, we established a model of HRV infection of in vitro-differentiated human nasal epithelial cells (hNECs) derived from multiple individuals. Through HRV infection of hNECs, we found that HRV mainly targeted ciliated cells and preferentially induced type I and III interferon antiviral pathways. Quantitative polymerase chain reaction analysis of inflammatory genes suggested predominant type 1 immunity signaling and recruitment, with secreted CXCL9, IP-10, CXCL11, and RANTES as likely initiators of airway inflammatory responses. Additionally, we further explored HRV bidirectional release from the hNECs and identified 11 associated genes. Other HRV interactions were also identified through a systematic comparison with influenza A virus infection of hNECs. Overall, this in vitro hNEC HRV infection model provides a platform for repeatable and controlled studies of different individuals, thus providing novel insights into the roles of human nasal epithelium in HRV interaction and immune initiation.
A study of tuning process of fuzzy logic controller output membership function for AUV-pitch control

This paper explains the study of the tuning process for fuzzy logic controller (FLC) design of an Autonomous Underwater Vehicle (AUV) for pitch-axis control. There is no systematic technique to tune the FLC to achieve a desired set point. The trial and error method is the common approach used in the tuning process of fuzzy logic controller until a satisfactory result is obtained and the performance of the system can be analyzed. The tuning process is made either to the number of fuzzy partitions or the mapping of the membership function so that the results can follow the desired set point and for this case in AUV-pitch control. This paper presents a faster tuning process by altering the mapping of the membership function to get satisfactory output. The algorithm was verified in MATLAB® Simulink platform and compare with the conventional PID controller. The FLC controller is more accurate and better than the PID controller.
Why direct effects of predation complicate the social brain hypothesis

A growing number of studies have found that large brains may help animals survive by avoiding predation. These studies provide an alternative explanation for existing correlative evidence for one of the dominant hypotheses regarding the evolution of brain size in animals, the social brain hypothesis (SBH). The SBH proposes that social complexity is a major evolutionary driver of large brains. However, if predation both directly selects for large brains and higher levels of sociality, correlations between sociality and brain size may be spurious. We argue that tests of the SBH should take direct effects of predation into account, either by explicitly including them in comparative analyses or by pin‐pointing the brain‐behavior‐fitness pathway through which the SBH operates. Existing data and theory on social behavior can then be used to identify precise candidate mechanisms and formulate new testable predictions.
Performance Bounds in Feed−Forward Networks under Blind Multiplexing

Bounding performance characteristics in communication networks is an important and interesting issue. In this study we assume uncertainty about the way di erent ows in a network are multiplexed, we even drop the common FIFO assumption. Under so-called blind multiplexing we derive new bounds for the tractable, yet non-trivial case of feed-forward networks. This is accomplished for pragmatic, but general tra c and server models using network calculus. In particular, we derive an end-to-end service curve for a ow of interest under blind multiplexing, establishing what we call the pay multiplexing only once principle. We specify the algorithms necessary to apply this result in a network of blind multiplexing nodes. Since these algorithms may have prohibitive computational costs, we present strategies to reduce the computational e ort in a controlled manner such that the quality of the bounds is a ected as little as possible. Finally we present some numerical results from a network calculus tool we developed and compare our bounds against the best known bounds for networks of blind multiplexing nodes.
Anthropometric indices of First Nations children and youth on first entry to Manitoba/Saskatchewan residential schools—1919 to 1953

Background First Nations people are experiencing increasing rates of obesity and type 2 diabetes but no anthropometric information exists from before the 1950s to provide context to these epidemics. Objective To compare anthropometric indices of First Nations children and youth on first entering residential schools with historical and contemporary reference groups. Methods This observational cross-sectional study used archival records from the Department of Indian Affairs to calculate body mass index (BMI), height for age (HA) and weight for age (WA) of all known children and youth undergoing physical examinations on first entering residential schools in Saskatchewan and Manitoba from 1919 to 1953. Proportions of children and youth in each BMI category were determined by age, sex, time period and residential school. Z-scores for HA and WA were determined by age group and sex. Finally, median heights and weights were compared with a non-Indigenous cohort from the 1953 Canadian survey. Results On admission to residential schools, 1,767 First Nations children and youth (847 boys, 920 girls) were more likely to have normal BMIs (79.8%) than Canadian children and youth today (66.5%), but lower rates of overweight/obesity (10.9% vs. 32.0%) and higher rates of underweight (9.3% vs. <2.0%). There was an overall trend of diminishing levels of underweight and increasing levels of overweight/obesity over time. Although 6.6% of boys and 7.9% of girls had HA Z-scores >−2, age-specific median heights tended to be higher than Canadian children and youth in 1953. Under 3% of children and youth had WA Z-scores of >−2. Conclusions A large majority of First Nations children and youth exhibited normal anthropometric indices on first entering residential schools in Manitoba and Saskatchewan from 1919 to 1953. These historical findings provide an important context to the current epidemics of obesity and type 2 diabetes and suggest that the nutritional conditions in these First Nations children's communities were satisfactory during the residential school era.
Preparation and characterization of water-soluble carbon nanotube reinforced Nafion membranes and so-based ionic polymer metal composite actuators

In this paper, we developed a new kind of ionic polymer metal composite (IPMC) actuator by doping water-soluble sulfonated multi-walled carbon nanotube (sMWCNT) into Nafion matrix to overcome some major drawbacks of traditional IPMCs, such as relatively low bending deformation and carring capacity at low driving voltages. Firstly, sMWCNT was synthesized via diazotization coupling reaction, and then doped into Nafion matrix by casting method. Subsequently, the electrochemical and electromechanical properties of sMWCNT-reinforced Nafion membranes and the corresponding IPMCs were investigated. Finally, the effects of sMWCNT on the performances of IPMCs were evaluated and analyzed systematacially. The results showed that sMWCNT was homogeneously dispersed in Nafion matrix without any entangled structure or obvious agglomeration. The main factors for superior actuation performances, like water-uptake ratio, proton conductivity and elastic modulus, increased significantly. Compared to the pure Nafion IPMC and MWCNT/Nafion IPMC, much superior electrochemical and electromechanical performances were achieved in the sMWCNT/Nafion IPMC, which were attributed to the numerous insertion sites, high surface conductivity and excellent mechanical strength as well as the homogeneous dispersity of the incorporated sMWCNT. Herein, a trace amount of sMWCNT can improve the performances of IPMCs significantly for realistic applications.
Electroacupuncture Improved the Function of Myocardial Ischemia Involved in the Hippocampus-Paraventricular Nucleus-Sympathetic Nerve Pathway

We investigated the hippocampus-paraventricular nucleus- (PVN-) sympathetic nerve pathway in electroacupuncture (EA) at the heart meridian for the treatment of myocardial ischemia by observing PVN neuronal discharge, sympathetic nerve discharge, and hemodynamics parameters. Sprague Dawley (SD) rats were equally divided into four groups: Sham, Model, Model + EA, and Model + EA + Lesion. The model rat was established by ligating the left anterior descending branch of the coronary artery. Changes in the sympathetic nerve discharge and hemodynamic parameters were observed. The Model + EA exhibited a significantly lower discharge frequency of PVN neurons compared with the Model. The Model + EA + Lesion had a significantly higher discharge frequency compared with the Model + EA. The total discharge frequency of PVN neurons and interneurons were positively correlated with the sympathetic nerve discharge. The total discharge frequency of PVN neurons was positively correlated with heart rate (HR) and negatively correlated with mean arterial pressure (MAP) and rate pressure product (RPP). The discharge frequency of interneurons was positively correlated with HR and negatively correlated with MAP and RPP. The hippocampus-PVN-sympathetic nerve pathway is involved in electroacupuncture at the heart meridian and interneurons are the key neurons in PVNs.
Self-Management Support Using a Digital Health System Compared With Usual Care for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial

Background We conducted a randomized controlled trial of a digital health system supporting clinical care through monitoring and self-management support in community-based patients with moderate to very severe chronic obstructive pulmonary disease (COPD). Objective The aim of this study was to determine the efficacy of a fully automated Internet-linked, tablet computer-based system of monitoring and self-management support (EDGE‚ sElf-management anD support proGrammE) in improving quality of life and clinical outcomes. Methods We compared daily use of EDGE with usual care for 12 months. The primary outcome was COPD-specific health status measured with the St George’s Respiratory Questionnaire for COPD (SGRQ-C). Results A total of 166 patients were randomized (110 EDGE, 56 usual care). All patients were included in an intention to treat analysis. The estimated difference in SGRQ-C at 12 months (EDGE−usual care) was −1.7 with a 95% CI of −6.6 to 3.2 (P=.49). The relative risk of hospital admission for EDGE was 0.83 (0.56-1.24, P=.37) compared with usual care. Generic health status (EQ-5D, EuroQol 5-Dimension Questionnaire) between the groups differed significantly with better health status for the EDGE group (0.076, 95% CI 0.008-0.14, P=.03). The median number of visits to general practitioners for EDGE versus usual care were 4 versus 5.5 (P=.06) and to practice nurses were 1.5 versus 2.5 (P=.03), respectively. Conclusions The EDGE clinical trial does not provide evidence for an effect on COPD-specific health status in comparison with usual care, despite uptake of the intervention. However, there appears to be an overall benefit in generic health status; and the effect sizes for improved depression score, reductions in hospital admissions, and general practice visits warrants further evaluation and could make an important contribution to supporting people with COPD. Trial registration International Standard Randomized Controlled Trial Number (ISRCTN): 40367841; http://www.isrctn. com/ISRCTN40367841 (Archived by WebCite at http://www.webcitation.org/6pmfIJ9KK)
SAE: social analytic engine for large networks

Online social networks become a bridge to connect our physical daily life and the virtual Web space, which not only provides rich data for mining, but also brings many new challenges. In this paper, we present a novel Social Analytic Engine (SAE) for large online social networks. The key issues we pursue in the analytic engine are concerned with the following problems: 1) at the micro-level, how do people form different types of social ties and how people influence each other? 2) at the meso-level, how do people group into communities? 3) at the macro-level, what are the hottest topics in a social network and how the topics evolve over time? We propose methods to address the above questions. The methods are general and can be applied to various social networking data. We have deployed and validated the proposed analytic engine over multiple different networks and validated the effectiveness and efficiency of the proposed methods.
Distinctive desmoplastic 3D morphology associated with BRAFV600E in papillary thyroid cancers

Textbooks suggest that cancers are compact balls with an inner core and an invasive front in contact with non-cancerous cells, and that tumor growth is driven by tumor cell proliferation subsequent to oncogenic genome mutations. We reconstructed at histological scale the 3D volume occupied by tumor cells in two regions of a BRAFV600E-mutated papillary thyroid carcinoma (PTC) with low tumor purity, as determined by sequencing, but initially considered high purity during pathology review. In contrast with a compact ball, tumor cells formed a sparse mesh deeply embedded within the stroma. The concepts of inner core and invasive front broke down in this morphology: all tumor cells were within short distance from the stroma. The fibrous stroma was highly cellular and proliferative, a result confirmed in an independent series. This case was not unique: 3.5% of The Cancer Genome Atlas PTCs had purities <25%, 27% were below the 60% purity inclusion criterion. Moreover, the presence of BRAFV600E was associated with extensive fibrosis, high stromal activation, and dedifferentiation. Thus, non-tumor cells make most of the tumor mass and contribute to its expansion in a significant fraction of BRAFV600E PTCs. Therapeutics targeting the tumor-stroma crosstalk could be beneficial in this context.
A Novel Strategy for Very-Large-Scale Cash-Crop Mapping in the Context of Weather-Related Risk Assessment, Combining Global Satellite Multispectral Datasets, Environmental Constraints, and In Situ Acquisition of Geospatial Data

Cash crops are agricultural crops intended to be sold for profit as opposed to subsistence crops, meant to support the producer, or to support livestock. Since cash crops are intended for future sale, they translate into large financial value when considered on a wide geographical scale, so their production directly involves financial risk. At a national level, extreme weather events including destructive rain or hail, as well as drought, can have a significant impact on the overall economic balance. It is thus important to map such crops in order to set up insurance and mitigation strategies. Using locally generated data—such as municipality-level records of crop seeding—for mapping purposes implies facing a series of issues like data availability, quality, homogeneity, etc. We thus opted for a different approach relying on global datasets. Global datasets ensure homogeneity and availability of data, although sometimes at the expense of precision and accuracy. A typical global approach makes use of spaceborne remote sensing, for which different land cover classification strategies are available in literature at different levels of cost and accuracy. We selected the optimal strategy in the perspective of a global processing chain. Thanks to a specifically developed strategy for fusing unsupervised classification results with environmental constraints and other geospatial inputs including ground-based data, we managed to obtain good classification results despite the constraints placed. The overall production process was composed using “good-enough" algorithms at each step, ensuring that the precision, accuracy, and data-hunger of each algorithm was commensurate to the precision, accuracy, and amount of data available. This paper describes the tailored strategy developed on the occasion as a cooperation among different groups with diverse backgrounds, a strategy which is believed to be profitably reusable in other, similar contexts. The paper presents the problem, the constraints and the adopted solutions; it then summarizes the main findings including that efforts and costs can be saved on the side of Earth Observation data processing when additional ground-based data are available to support the mapping task.
An Adaptive S-Method to Analyze Micro-Doppler Signals for Human Activity Classification

In this paper, we propose the multiwindow Adaptive S-method (AS-method) distribution approach used in the time-frequency analysis for radar signals. Based on the results of orthogonal Hermite functions that have good time-frequency resolution, we vary the length of window to suppress the oscillating component caused by cross-terms. This method can bring a better compromise in the auto-terms concentration and cross-terms suppressing, which contributes to the multi-component signal separation. Finally, the effective micro signal is extracted by threshold segmentation and envelope extraction. To verify the proposed method, six states of motion are separated by a classifier of a support vector machine (SVM) trained to the extracted features. The trained SVM can detect a human subject with an accuracy of 95.4% for two cases without interference.
High Quality Flexible HAnim Hands for Sign Language Visualisation

The human hands are complex articulated structures with multiple degrees of freedom. This makes the modelling and animation of high quality flexible virtual hands extremely difficult especially for real-time interactive applications. We wish to employ virtual hands for real-time Sign Language visualisation for which they are of the utmost importance. In this paper we present our investigation into developing high quality flexible virtual human hands. Moreover, we make use of the H-Anim skeleton specification to enable the sharing of animation data between different hand models.
Hollow-waveguide-based carbon dioxide sensor for capnography

A CO2 sensor for capnography, based on a hollow waveguide(HWG) and tunable diode laser absorption spectroscopy(TDLAS), is presented; the sensor uses direct absorption spectroscopy and requires neither frequent calibration nor optical filters, giving it a significant advantage over existing techniques. Because of the HWG, the CO2 measurement achieved a concentration resolution of 60 ppm at a measurement rate of 25 Hz, as characterized by Allan variance. The length of the HWG was selected to efficiently suppress the optical fringes. This setup is perfectly suited for the detection of CO2 by capnography, and shows promise for the potential detection of other breath gases.
Long-Term Care Workforce Issues: Practice Principles for Quality Dementia Care

Purpose This article is one in a series of articles in this supplement addressing best practice for quality dementia care. The Alzheimer's Association, in revising their Dementia Care Practice Recommendations for 2017 has identified staff across the long-term care spectrum as a distinct and important determinant of quality dementia care. The purpose of this article is to highlight areas for developing and supporting a dementia-capable workforce. Methods The Alzheimer's Association Principles For Advocacy To Assure Quality Dementia Care Across Settings provide a framework to examine interventions to support the dementia care workforce in long-term care settings. Evidence-based approaches that represent these principles are discussed: (a) staffing, (b) staff training, (c) compensation, (d) supportive work environments, (e) career growth and retention, and (f) engagement with family. Results Although not all settings currently require attention to the principles described, this article proposes these principles as best practice recommendations. Recommendations and future research considerations to further improve the lives of those who live and work in nursing homes, assisted living, hospice, and home care, are proposed. Additional areas to improve the quality of a dementia care workforce person-centered care information, communication and interdepartmental teamwork, and ongoing evaluation are discussed.
The Emerging Role of Tractography in Deep Brain Stimulation: Basic Principles and Current Applications

Diffusion tensor imaging (DTI) is an MRI-based technique that delineates white matter tracts in the brain by tracking the diffusion of water in neural tissue. This methodology, known as “tractography”, has been extensively applied in clinical neuroscience to explore nervous system architecture and diseases. More recently, tractography has been used to assist with neurosurgical targeting in functional neurosurgery. This review provides an overview of DTI principles, and discusses current applications of tractography for improving and helping develop novel deep brain stimulation (DBS) targets.
Towards a Better Understanding of Sickness Absence in Adolescence: A Qualitative Study among Dutch Intermediate Vocational Education Students

An adequate approach to sickness absence can reduce school dropout which is a major problem in Intermediate Vocational Education (IVE). This practice-based study explores the sickness absence reasons and factors influencing reporting the sickness, from a student's perspective. Semistructured interviews were held until saturation. Data were collected and analysed by a multidisciplinary research team including youth health care physicians working with IVE students. The results show that, according to the students, reasons for sickness reporting were health-related or related to problems at home or in school. Students view their sickness absence as necessity, as asking for understanding, or as pardonable. Their views depended on (1) the perception of medical legitimacy, (2) feeling able to take their own responsibility, (3) feeling being taken seriously at school, and (4) the perception that the sickness reporting procedure at school is anonymous and easy. In conclusion, reporting sickness seems more a reaction to a necessity or opportunity than the result of a conscious decision-making process. Personalizing the sickness reporting procedures and demonstrating interest rather than control while discussing the sickness absence with the individual IVE student might very well affect their sickness absence levels.
Stabilization of RDIP using sliding modes

This paper presents robust stabilization of Rotary Double Inverted Pendulum (RDIP). The RDIP is an extremely nonlinear, unstable, complex and underactuated. Linearized model is used for developing controller. Sliding Mode Control (SMC) is developed for this system. A stable sliding surface is designed using Regular Form approach method. Controller is then synthesized using Gao's power rate reaching law. The proposed control law is validated in simulation and experiments. The robustness analysis is also validated in experiments.