Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Breathing Parameters Using an Inertial Measurement Unit (IMU)-Based System

Breathing frequency (fB) is an important vital sign that—if appropriately monitored—may help to predict clinical adverse events. Inertial sensors open the door to the development of low-cost, wearable, and easy-to-use breathing-monitoring systems. The present paper proposes a new posture-independent processing algorithm for breath-by-breath extraction of breathing temporal parameters from chest-wall inclination change signals measured using inertial measurement units. An important step of the processing algorithm is dimension reduction (DR) that allows the extraction of a single respiratory signal starting from 4-component quaternion data. Three different DR methods are proposed and compared in terms of accuracy of breathing temporal parameter estimation, in a group of healthy subjects, considering different breathing patterns and different postures; optoelectronic plethysmography was used as reference system. In this study, we found that the method based on PCA-fusion of the four quaternion components provided the best fB estimation performance in terms of mean absolute errors (<2 breaths/min), correlation (r > 0.963) and Bland–Altman Analysis, outperforming the other two methods, based on the selection of a single quaternion component, identified on the basis of spectral analysis; particularly, in supine position, results provided by PCA-based method were even better than those obtained with the ideal quaternion component, determined a posteriori as the one providing the minimum estimation error. The proposed algorithm and system were able to successfully reconstruct the respiration-induced movement, and to accurately determine the respiratory rate in an automatic, position-independent manner.
NMLPA: Uncovering Overlapping Communities in Attributed Networks via a Multi-Label Propagation Approach †

With the enrichment of the entity information in the real world, many networks with attributed nodes are proposed and studied widely. Community detection in these attributed networks is an essential task that aims to find groups where the intra-nodes are much more densely connected than the inter-nodes. However, many existing community detection methods in attributed networks do not distinguish overlapping communities from non-overlapping communities when designing algorithms. In this paper, we propose a novel and accurate algorithm called Node-similarity-based Multi-Label Propagation Algorithm (NMLPA) for detecting overlapping communities in attributed networks. NMLPA first calculates the similarity between nodes and then propagates multiple labels based on the network structure and the node similarity. Moreover, NMLPA uses a pruning strategy to keep the number of labels per node within a suitable range. Extensive experiments conducted on both synthetic and real-world networks show that our new method significantly outperforms state-of-the-art methods.
Ethics of mobile phone surveys to monitor non-communicable disease risk factors in low- and middle-income countries: A global stakeholder survey

ABSTRACT Active public health surveillance has traditionally been carried out through face-to-face household surveys or contact with providers, which can be time and resource intensive. The increasing ubiquity of mobile phones and availability of phone survey platforms provide an opportunity to explore the use of mobile phone surveys (MPS) for active disease and risk factor surveillance, including for non-communicable diseases (NCDs). Scholars are increasingly examining the ethics implications of mobile health (mHealth), but few have focused on the ethics of mHealth in low- and middle-income countries (LMICs), and even fewer on mHealth for active surveillance. Given that little is known about ethics-related attitudes and practices of stakeholders invested in the conduct and oversight of mHealth in LMICs, we undertook a cross-sectional global stakeholder survey of ethics-related issues implicated by active observational MPS, with a contextual frame of monitoring NCD risk factors in LMICs. We analyse these findings with an organising focus on ethical issues that arise before, during and after conduct of an MPS including defining the activity; anticipating harms and benefits; obtaining consent; data ownership, access, and use; and ensuring sustainability. Finally, we present a set of empirical, conceptual, and normative considerations that arise from this analysis and merit further consideration.
Emergence of Extensively Drug-Resistant Salmonella Typhi Infections Among Travelers to or from Pakistan — United States, 2016–2018

In February 2018, a typhoid fever outbreak caused by Salmonella enterica serotype Typhi (Typhi), resistant to chloramphenicol, ampicillin, trimethoprim-sulfamethoxazole, fluoroquinolones, and third-generation cephalosporins, was reported in Pakistan. During November 2016-September 2017, 339 cases of this extensively drug-resistant (XDR) Typhi strain were reported in Pakistan, mostly in Karachi and Hyderabad; one travel-associated case was also reported from the United Kingdom (1). More cases have been detected in Karachi and Hyderabad as surveillance efforts have been strengthened, with recent reports increasing the number of cases to 5,372 (2). In the United States, in response to the reports from Pakistan, enhanced surveillance identified 29 patients with typhoid fever who had traveled to or from Pakistan during 2016-2018, including five with XDR Typhi. Travelers to areas with endemic disease, such as South Asia, should be vaccinated against typhoid fever before traveling and follow safe food and water practices. Clinicians should be aware that most typhoid fever infections in the United States are fluoroquinolone nonsusceptible and that the XDR Typhi outbreak strain associated with travel to Pakistan is only susceptible to azithromycin and carbapenems.
Internationaliser un réseau de franchise : L’option master franchise

Le système de la master franchise n’a fait l’objet que de peu de recherche académique, notamment dans ses applications internationales. Cet article fournit un cadre conceptuel à l’option master franchise. La première partie est consacrée aux définitions économiques et juridiques de la master franchise permettant de la situer par rapport à ses formats voisins ou dérivés. La seconde partie propose une approche multicritère de la décision d’internationalisation d’une chaîne de franchise permettant de relativiser l’intérêt pour un franchiseur de recourir à la master franchise parmi d’autres alternatives. Cette option est analysée dans une perspective de stratégie d’alliance .
Hepatitis B Virus Inhibits Neutrophil Extracellular Trap Release by Modulating Reactive Oxygen Species Production and Autophagy

Neutrophils, an important component of the innate immune system, release extracellular traps (NETs) to eliminate invading pathogens by trapping and killing microbes. Recent studies have shown that NETs play a multitude of additional roles in immunity and inflammatory diseases. Therefore, NETs may be involved in persistent hepatitis B virus (HBV) infection, and the objectives of the current study were to determine whether HBV influences NET release and to identify the underlying mechanisms. HBV-infected mice (C57BL/6) were used to detect the efficiency of bacterial eradication by neutrophils in vivo. Primary neutrophils and circulating blood samples were collected from 40 patients with chronic hepatitis B infection, as well as 40 healthy controls, to detect NET release using a Quant-iT Pico Green dsDNA assay, Western blotting, and live-cell imaging and to determine the levels of HBV-DNA and HBV markers. NET release was decreased in patients with chronic hepatitis B infection, and hepatitis B surface Ag, hepatitis B E Ag, and hepatitis B core Ab levels negatively correlated with NET release. We also examined the effect of HBV proteins (HBV X protein, HBV C protein, HBV E protein, and HBV S protein) on NET release in vitro. Based on flow cytometry, cytochrome c reduction assay, and Western blotting, HBV C protein and HBV E protein inhibited NET release by decreasing reactive oxygen species production and autophagy. Overall, HBV may inhibit NET release by modulating reactive oxygen species production and autophagy to escape the immune system and promote the establishment of chronic infection.
State-dependent Lipid Interactions with the A2a Receptor Revealed by MD Simulations Using In Vivo-Mimetic Membranes

G protein-coupled receptors (GPCRs) are the largest family of integral membrane proteins and a major class of drug targets. Membranes are known to have modulatory effects on GPCRs via specific lipid interactions. However, the mechanisms of such modulations in cell membranes and how they influence GPCR functions remain unclear. Here we report coarse-grained MD simulations on the Adenosine A2a receptor embedded in an in vivo mimetic membrane model comprised of 10 different lipid species. Three conformational states of the receptor, i.e. the inactive state, the active state, and the active state with a mini-GS protein bound were simulated to study the impact of protein-lipid interactions on the receptor activation. The simulations revealed three specific lipids (GM3, cholesterol and PIP2) that form stable and preferential interactions with the receptor, differentiating these from bulk lipids such as PS, PE and PC. In total, nine specific lipid-binding sites were revealed. The strength of lipid interaction with these sites depends on the conformational state of the receptor, suggesting that these lipids may regulate the conformational dynamics of the receptor. In particular, we revealed a dual role of PIP2 in promoting A2aR activation, which involves stabilization of both the characteristic outward tilt of helix TM6 within receptor and also the association of A2aR and mini-Gs when the activated complex forms. Structural comparisons suggested that PIP2 may facilitate Gα activation. Our results reveal likely allosteric effects of bound lipids in regulating the functional behaviour of GPCRs, providing a springboard for design of allosteric modulators of these biomedically important receptors.
Nanoheterostructures (NHS) and Their Applications in Nanomedicine: Focusing on In Vivo Studies

Inorganic nanoparticles have great potential for application in many fields, including nanomedicine. Within this class of materials, inorganic nanoheterostructures (NHS) look particularly promising as they can be formulated as the combination of different domains; this can lead to nanosystems with different functional properties, which, therefore, can perform different functions at the same time. This review reports on the latest development in the synthesis of advanced NHS for biomedicine and on the tests of their functional properties in in vivo studies. The literature discussed here focuses on the diagnostic and therapeutic applications with special emphasis on cancer. Considering the diagnostics, a description of the NHS for cancer imaging and multimodal imaging is reported; more specifically, NHS for magnetic resonance, computed tomography and luminescence imaging are considered. As for the therapeutics, NHS employed in magnetic hyperthermia or photothermal therapies are reported. Examples of NHS for cancer theranostics are also presented, emphasizing their dual usability in vivo, as imaging and therapeutic tools. Overall, NHS show a great potential for biomedicine application; further studies, however, are necessary regarding the safety associated to their use.
Relationship of lactation, BMI, and rs12255372 TCF7L2 polymorphism on the conversion to type 2 diabetes mellitus in women with previous gestational diabetes

Abstract Women with previous gestational diabetes mellitus (pGDM) have a high risk of developing postpartum type 2 diabetes mellitus (T2DM). This study aimed to analyze the relationship between lactation, BMI, and TCF7L2 polymorphisms in the conversion to T2DM in women with pGDM. One hundred and fifty-three women con pGDM were recruited from public hospitals of León Guanajuato México. Three groups: normal glucose tolerance (NGT), impaired glucose intolerance (IGT), and T2DM after the oral glucose tolerance test were formed. Metabolic and hormone variables were measured, and genotyping was made by PCR-RFLP. The questionnaire included data on lactation (yes/no), duration of lactation, and full lactation. After 35 (21–49) months from the last partum, 54% of women had an NGT, 30.7% IGT, and 15% T2DM. BMI and rs12255372 are associated with the risk of conversion to IGT and T2DM [OR = 1.07 (95% IC 1.0–1.14, p = .041; OR =2.14, 95% IC 1.01–4.55, p = .04 respectively), while the lactation shows a strong protective effects OR = 0.15 (95% IC 0.062–0.39, p = .00007), and an apparent interaction with rs12255372T decreasing the risk in carriers (OR =2.15; 95% IC 0.97–4.7, p = .05). BMI is an independent risk factor of IGT/T2DM development. The lactation shows a strong protective effect and a possible interaction with rs12255372 polymorphism.
Evaluation of 16S rRNA Databases for Taxonomic Assignments Using a Mock Community

Taxonomic identification is fundamental to all microbiology studies. Particularly in metagenomics, which identifies the composition of microorganisms using thousands of sequences, its importance is even greater. Identification is inevitably affected by the choice of database. This study was conducted to evaluate the accuracy of three widely used 16S databases—Greengenes, Silva, and EzBioCloud—and to suggest basic guidelines for selecting reference databases. Using public mock community data, each database was used to assign taxonomy and to test its accuracy. We show that EzBioCloud performs well compared with other existing databases.
Faecal but not serum calprotectin levels look promising in predicting active disease in Behçet's syndrome patients with gastrointestinal involvement.

OBJECTIVES The faecal calprotectin (FC) test is widely used as a non-invasive method for identifying intestinal inflammation. A recent study suggested FC may help to diagnose gastrointestinal involvement of Behçet's syndrome (GIBS). We aimed to determine whether FC helps to distinguish active from inactive intestinal involvement in GIBS. METHODS We tried to contact 70 GIBS patients registered in our tertiary multidisciplinary clinic. We prospectively collected faecal specimens and serum from 39 GIBS patients who gave informed consent assessing calprotectin and CRP levels followed by a colonoscopy. We included 47 Crohn's disease (CD) patients as controls. Active disease was defined as having ulcer/s on colonoscopy. We filled the Disease Activity Index for Intestinal Behçet's Disease (DAIBD) and Crohn's Disease Activity Index (CDAI). The cut-off for positive FC was defined as ≥150 μg/g. RESULTS Ulcers were detected in 12/39 GIBS patients. Sensitivity and specificity of the FC test for active disease was 91.7 (95%CI:61.5-99.8) and 74.1% (95%CI:53.7-88.9). Median FC and CRP levels and DAIBD scores were higher among patients with ulcers, whereas serum calprotectin and CDAI scores were not. A negative FC test was the only significant predictor of remission (OR:37.04, 95%CI:2.4-561.6; p=0.009) on multivariate analysis. Among CD patients, 16/25 active patients and 3/22 patients in endoscopic remission had a positive FC test (OR:11, 95%CI:11-49). CONCLUSIONS FC, but not serum calprotectin seems to be a useful non-invasive tool for assessing disease activity in GIBS. Whether the presence of oral ulcers can cause false positive results remains to be studied.
Lack of evidence for the efficacy of psychotherapies for PTSD and depression in child and adolescent refugees

Katie S. Dawson, Sarah Watts, Kenneth Carswell, Melissa Harper Shehadeh, Mark J.D. Jordans, Richard A. Bryant, Kenneth E. Miller, Aiysha Malik, Felicity L. Brown, Chiara Servili, Mark van Ommeren School of Psychology, University of New South Wales, Sydney, NSW, Australia; Department of Mental Health and Substance Abuse, World Health Organization, Geneva, Switzerland; Department of Research and Development, War Child, Amsterdam, The Netherlands; Center for Global Mental Health, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK; Oxford Institute of Clinical Psychology Training, Isis Education Centre, University of Oxford, Oxford, UK
A Multi-Label Supervised Topic Model Conditioned on Arbitrary Features for Gene Function Prediction

With the continuous accumulation of biological data, more and more machine learning algorithms have been introduced into the field of gene function prediction, which has great significance in decoding the secret of life. Recently, a multi-label supervised topic model named labeled latent Dirichlet allocation (LLDA) has been applied to gene function prediction, and obtained more accurate and explainable predictions than conventional methods. Nonetheless, the LLDA model is only able to construct a bag of amino acid words as a classification feature, and does not support any other features, such as hydrophobicity, which has a profound impact on gene function. To achieve more accurate probabilistic modeling of gene function, we propose a multi-label supervised topic model conditioned on arbitrary features, named Dirichlet multinomial regression LLDA (DMR-LLDA), for introducing multiple types of features into the process of topic modeling. Based on DMR framework, DMR-LLDA applies an exponential a priori construction, previously with weighted features, on the hyper-parameters of gene-topic distribution, so as to reflect the effects of extra features on function probability distribution. In the five-fold cross validation experiment of a yeast datasets, DMR-LLDA outperforms the compared model significantly. All of these experiments demonstrate the effectiveness and potential value of DMR-LLDA for predicting gene function.
Variation in the spatial distribution of erector spinae activity during a lumbar endurance task in people with low back pain

This study aimed to investigate the spatial distribution and redistribution of lumbar erector spinae (ES) activity during a lumbar extension endurance task in pain‐free participants and how this is modified in people with low back pain (LBP). High density surface electromyography (HDEMG) was recorded using 13 × 5 electrode grids placed over the lumbar ES in 13 LBP and 13 control participants while completing an Ito test to task failure. The root mean square of the HDEMG signals was computed, a topographical map of the EMG amplitude generated and the centre of the activity (centroid) determined throughout the task. The centroid of the EMG amplitude map was systematically more cranial (F = 6.09, P = 0.022) for the LBP participants compared with the control subjects. Regression analysis showed that the extent of redistribution of ES activity was associated with longer endurance. These results show that LBP participants utilised a different motor strategy to perform the endurance task, characterised by greater activation of more cranial regions of the ES and less redistribution of ES activity throughout the task. This study provides new insight into the functional activation of the lumbar ES and how it is modified when people have pain.
Advancements in Nucleic Acid Based Therapeutics against Respiratory Viral Infections

Several viruses cause pulmonary infections due to their shared tropism with cells of the respiratory tract. These respiratory problems due to viral infection become a public health concern due to rapid transmission through air/aerosols or via direct-indirect contact with infected persons. In addition, the cross-species transmission causes alterations to viral genetic makeup thereby increasing the risk of emergence of pathogens with new and more potent infectivity. With the introduction of effective nucleic acid-based technologies, post translational gene silencing (PTGS) is being increasingly used to silence viral gene targets and has shown promising approach towards management of many viral infections. Since several host factors are also utilized by these viruses during various stages of infection, silencing these host factors can also serve as promising therapeutic tool. Several nucleic acid-based technologies such as short interfering RNAs (siRNA), antisense oligonucleotides, aptamers, deoxyribozymes (DNAzymes), and ribozymes have been studied and used against management of respiratory viruses. These therapeutic nucleic acids can be efficiently delivered through the airways. Studies have also shown efficacy of gene therapy in clinical trials against respiratory syncytial virus (RSV) as well as models of respiratory diseases including severe acute respiratory syndrome (SARS), measles and influenza. In this review, we have summarized some of the recent advancements made in the area of nucleic acid based therapeutics and highlighted the emerging roles of nucleic acids in the management of some of the severe respiratory viral infections. We have also focused on the methods of their delivery and associated challenges.
The Role of the Microbiome in Asthma: The Gut–Lung Axis

Asthma is one of the most common chronic respiratory diseases worldwide. It affects all ages but frequently begins in childhood. Initiation and exacerbations may depend on individual susceptibility, viral infections, allergen exposure, tobacco smoke exposure, and outdoor air pollution. The aim of this review was to analyze the role of the gut–lung axis in asthma development, considering all asthma phenotypes, and to evaluate whether microbe-based therapies may be used for asthma prevention. Several studies have confirmed the role of microbiota in the regulation of immune function and the development of atopy and asthma. These clinical conditions have apparent roots in an insufficiency of early life exposure to the diverse environmental microbiota necessary to ensure colonization of the gastrointestinal and/or respiratory tracts. Commensal microbes are necessary for the induction of a balanced, tolerogenic immune system. The identification of commensal bacteria in both the gastroenteric and respiratory tracts could be an innovative and important issue. In conclusion, the function of microbiota in healthy immune response is generally acknowledged, and gut dysbacteriosis might result in chronic inflammatory respiratory disorders, particularly asthma. Further investigations are needed to improve our understanding of the role of the microbiome in inflammation and its influence on important risk factors for asthma, including tobacco smoke and host genetic features.
Examining the importance of academic-specific self-compassion in the academic self-control model

ABSTRACT The aim of this investigation was to determine whether an academic-specific self-compassion scale would share stronger bivariate relationships with academic-focused variables, act as a stronger unique predictor of university adaptation than a general measure of self-compassion, and moderate the relationship between general and academic resourcefulness. A convenience sample of 422 undergraduates completed measures assessing general learned resourcefulness, academic self-efficacy, failure attributions, academic goal focus, academic resourcefulness, academic self-compassion, and university adaptation. As hypothesized, academic self-compassion shared a stronger relationship with academic resourcefulness than a general measure of self-compassion; academic self-compassion independently predicted university adaptation along with academic resourcefulness and expected GPA; and, unlike general self-compassion, academic self-compassion did not moderate the relationship between general and academic resourcefulness, providing support for academic self-compassion being a type of academic self-control that is “emotion-oriented. ” The value of using academic-specific versus global constructs when assessing academic outcomes is discussed.