Miracle-dz/UniFAR-FTUs huggingface dataset:
Swarm of micro flying robots in the wild

Aerial robots are widely deployed, but highly cluttered environments such as dense forests remain inaccessible to drones and even more so to swarms of drones. In these scenarios, previously unknown surroundings and narrow corridors combined with requirements of swarm coordination can create challenges. To enable swarm navigation in the wild, we develop miniature but fully autonomous drones with a trajectory planner that can function in a timely and accurate manner based on limited information from onboard sensors. The planning problem satisfies various task requirements including flight efficiency, obstacle avoidance, and inter-robot collision avoidance, dynamical feasibility, swarm coordination, and so on, thus realizing an extensible planner. Furthermore, the proposed planner deforms trajectory shapes and adjusts time allocation synchronously based on spatial-temporal joint optimization. A high-quality trajectory thus can be obtained after exhaustively exploiting the solution space within only a few milliseconds, even in the most constrained environment. The planner is finally integrated into the developed palm-sized swarm platform with onboard perception, localization, and control. Benchmark comparisons validate the superior performance of the planner in trajectory quality and computing time. Various real-world field experiments demonstrate the extensibility of our system. Our approach evolves aerial robotics in three aspects: capability of cluttered environment navigation, extensibility to diverse task requirements, and coordination as a swarm without external facilities. Description A fully autonomous swarm composed of palm-sized drones with versatile task extensibility in the wild is realized.
Mathematical modelling of haemorrhagic transformation within a multiscale microvasculature network

Objective. Haemorrhagic transformation (HT) is one of the most common complications after ischaemic stroke, caused by damage to the blood–brain barrier (BBB) that could be the result of stroke progression or a complication of stroke treatment with reperfusion therapy. The aim of this study is to develop further a previous simple HT mathematical model into an enlarged multiscale microvasculature model in order to investigate the effects of HT on the surrounding tissue and vasculature. In addition, this study investigates the relationship between tissue displacement and vascular geometry. Approach. By modelling tissue displacement, capillary compression, hydraulic conductivity in tissue and vascular permeability, we establish a mathematical model to describe the change of intracranial pressure (ICP) surrounding the damaged vascular bed after HT onset, applied to a 3D multiscale microvasculature. The use of a voxel-scale model then enables us to compare our HT simulation with available clinical imaging data for perfusion and cerebral blood volume ( CBV ) in the multiscale microvasculature network. Main results. We showed that the haematoma diameter and the maximum tissue displacement are approximately proportional to the diameter of the breakdown vessel. Based on the voxel-scale model, we found that perfusion reduces by approximately 13–17% and CBV reduces by around 20–25% after HT onset due to the effect of capillary compression caused by increased interstitial pressure. The results are in good agreement with the limited experimental data. Significance. This model, by enabling us to bridge the gap between the microvascular scale and clinically measurable parameters, providing a foundation for more detailed validation and understanding of HT in patients.
What's Up With Everyone? A qualitative study on young people's perceptions of cocreated online animations to promote mental health literacy

Adolescence and young adulthood are especially critical times to learn about mental health, given that 75% of mental health issues are developed by the age of 24. Animations have great potential to effectively deliver mental health information to young people. A series of five short animated films to promote mental health literacy were created with and for young people in partnership with the multi‐award‐winning independent animation studio, Aardman Animations. The aim of this study was to explore young people's perceptions of the cocreated animated films.
Complete Genome Sequence of Stenotrophomonas maltophilia Phage Philippe

Stenotrophomonas maltophilia is emerging as an opportunistic multidrug-resistant pathogen. S. maltophilia podophage Philippe has a 74,717-bp genome which is related broadly to the N4-like phage group, including Stenotrophomonas phage Pokken. The low sequence identity to other described phages suggests that Philippe is an unclassified member of the N4-like subfamily Rothmandenesvirinae. ABSTRACT Stenotrophomonas maltophilia is emerging as an opportunistic multidrug-resistant pathogen. S. maltophilia podophage Philippe has a 74,717-bp genome which is related broadly to the N4-like phage group, including Stenotrophomonas phage Pokken. The low sequence identity to other described phages suggests that Philippe is an unclassified member of the N4-like subfamily Rothmandenesvirinae.
Single-cell transcriptomic profiling of lung endothelial cells identifies dynamic inflammatory and regenerative subpopulations.

Studies have demonstrated the phenotypic heterogeneity of vascular endothelial cells (ECs) within a vascular bed; however, little is known about how distinct endothelial subpopulations in a particular organ respond to an inflammatory stimulus. We performed single cell RNA-sequencing of 35,973 lung ECs obtained during the baseline state as well as post-injury time points following inflammatory lung injury induced by lipopolysaccharide. Seurat clustering and gene expression pathway analysis identified two major subpopulations in the lung microvascular endothelium, a subpopulation enriched for expression of immune response genes such as major histocompatibility complex genes (immuneEC) and another defined by increased expression of vascular development genes such as Sox17 (devEC). The presence of immuneEC and devEC subpopulations was also observed in non-human primate lungs infected with SARS-CoV-2 and murine lungs infected with H1N1 influenza virus. Following the peak of inflammatory injury, we observed the emergence of a proliferative lung EC subpopulation. Overexpression of Sox17 prevented inflammatory activation in ECs. Thus, there appears to be a" division of labor" within the lung microvascular endothelium with some ECs showing propensity for inflammatory signaling and others for endothelial regeneration. These results provide underpinnings for the development of targeted therapies to limit inflammatory lung injury and promote regeneration.
The effect of antipsychotic treatment on hormonal, inflammatory, and metabolic biomarkers in healthy volunteers: A systematic review and meta‐analysis

Antipsychotic medications demonstrate a variable range of efficacy and side effects in patients with mental illness. Research has attempted to identify biomarkers associated with antipsychotic effects in various populations. Research designs utilizing healthy volunteers may have the added benefit of measuring the effect of antipsychotics on a given biomarker (s) independent of the varied environmental and clinical factors that often accompany patient populations. The aim of this systematic review and meta‐analysis was to synthesize the current evidence of hormonal, inflammatory, and metabolic biomarker studies of antipsychotic treatment in study designs using healthy volunteers. The systematic review was performed according to established guidelines and a random effects meta‐analysis of biomarkers appearing in at least three studies was performed while biomarkers in two or less studies were qualitatively summarized. A total of 28 studies including 28 biomarkers were identified. Meta‐analyses were carried out for 14 biomarkers, showing significant effects within six biomarkers (cortisol, C‐peptide, free fatty acids, leptin, thyroid‐stimulating hormone, and prolactin). Many of these effects were associated with olanzapine, the most used antipsychotic amongst the trials, observed on sub‐analyses. When combining biomarkers into categories, some additional effects were observed, for example, when grouping inflammatory biomarkers. These findings suggest that antipsychotics exert potentially strong effects on several biomarkers of interest independent of psychiatric disease which could be used to spur future investigations, however, replication work is needed for many biomarkers included in this review.
Expert Consensus Regarding Core Outcomes for Enhanced Recovery after Cesarean Delivery Studies: A Delphi Study

Background: Heterogeneity among reported outcomes from enhanced recovery after cesarean delivery impact studies is high. This study aimed to develop a standardized enhanced recovery core outcome set for use in future enhanced recovery after cesarean delivery studies. Methods: An international consensus study involving physicians, patients, and a director of midwifery and nursing services was conducted using a three-round modified Delphi approach (two rounds of electronic questionnaires and a third-round e-discussion) to produce the core outcome set. An initial list of outcomes was based on a previously published systematic review. Consensus was obtained for the final core outcome set, including definitions for key terms and preferred units of measurement. Strong consensus was defined as 70% or greater agreement and weak consensus as 50 to 69% agreement. Of the 64 stakeholders who were approached, 32 agreed to participate. All 32, 31, and 26 stakeholders completed Rounds 1, 2 and 3, respectively. Results: The number of outcomes in the final core outcome set was reduced from 98 to 15. Strong consensus (70% or greater stakeholder agreement) was achieved for 15 outcomes. The core outcome set included length of hospital stay; compliance with enhanced recovery protocol; maternal morbidity (hospital re-admissions or unplanned consultations); provision of optimal analgesia (maternal satisfaction, compliance with analgesia, opioid consumption or requirement and incidence of nausea or vomiting); fasting times; breastfeeding success; and times to mobilization and urinary catheter removal. The Obstetric Quality of Recovery-10 item composite measure was also included in the final core outcome set. Areas identified as requiring further research included readiness for discharge and analysis of cost savings. Conclusions: Results from an international consensus to develop a core outcome set for enhanced recovery after cesarean delivery are presented. These are outcomes that could be considered when designing future enhanced recovery studies. This study provides an international consensus of experts in multi-subspecialties and parturients on a core outcome set for enhanced recovery after cesarean delivery. The core outcome set could be used to design future enhanced recovery studies, and assess and compare its value.
Neonatal subchronic toxicity and in vitro genotoxicity studies of the human‐identical milk oligosaccharide 3‐fucosyllactose

Human milk oligosaccharides, such as 3‐fucosyllactose (3‐FL), are bioactive components of breast milk associated with benefits for infant growth and development. Structurally identical compounds (human‐identical milk oligosaccharides—HiMOs) can be produced using microbial fermentation, allowing their use in infant formula to increase its similarity with human milk. Toxicological studies are required to demonstrate safety of HiMOs and that of any impurities potentially carried over from the manufacturing process. Biotechnologically produced 3‐FL was tested for potential genotoxicity (bacterial reverse mutation test and in vitro mammalian micronucleus test) and subchronic toxicity (90‐day study with neonatal rats). In the 90‐day study, 3‐FL was administered by gavage to rats once daily from Day 7 of age, at doses up to 4000 mg/kg body weight (bw)/day (the maximum feasible dose), followed by a 4‐week recovery period. Reference controls received 4000 mg/kg bw/day of oligofructose, an ingredient permitted for use in infant formula. Results for the genotoxicity studies were negative. In the 90‐day study, there were no adverse effects of 3‐FL on any of the parameters measured; thus, the no‐observed‐adverse‐effect level (NOAEL) was 4000 mg/kg bw/day (the highest dose tested). These results support the safety of biotechnologically produced 3‐FL for use in infant formula and other foods.
Estimating heterogeneity of physical function treatment response to caloric restriction among older adults with obesity

Clinical trials conventionally test aggregate mean differences and assume homogeneous variances across treatment groups. However, significant response heterogeneity may exist. The purpose of this study was to model treatment response variability using gait speed change among older adults participating in caloric restriction (CR) trials. Eight randomized controlled trials (RCTs) with five- or six-month assessments were pooled, including 749 participants randomized to CR and 594 participants randomized to non-CR (NoCR). Statistical models compared means and variances by CR assignment and exercise assignment or select subgroups, testing for treatment differences and interactions for mean changes and standard deviations. Continuous equivalents of dichotomized variables were also fit. Models used a Bayesian framework, and posterior estimates were presented as means and 95% Bayesian credible intervals (BCI). At baseline, participants were 67.7 (SD = 5.4) years, 69.8% female, and 79.2% white, with a BMI of 33.9 (4.4) kg/m2. CR participants reduced body mass [CR: -7.7 (5.8) kg vs. NoCR: -0.9 (3.5) kg] and increased gait speed [CR: +0.10 (0.16) m/s vs. NoCR: +0.07 (0.15) m/s] more than NoCR participants. There were no treatment differences in gait speed change standard deviations [CR–NoCR: -0.002 m/s (95% BCI: -0.013, 0.009)]. Significant mean interactions between CR and exercise assignment [0.037 m/s (95% BCI: 0.004, 0.070)], BMI [0.034 m/s (95% BCI: 0.003, 0.066)], and IL-6 [0.041 m/s (95% BCI: 0.009, 0.073)] were observed, while variance interactions were observed between CR and exercise assignment [-0.458 m/s (95% BCI: -0.783, -0.138)], age [-0.557 m/s (95% BCI: -0.900, -0.221)], and gait speed [-0.530 m/s (95% BCI: -1.018, -0.062)] subgroups. Caloric restriction plus exercise yielded the greatest gait speed benefit among older adults with obesity. High BMI and IL-6 subgroups also improved gait speed in response to CR. Results provide a novel statistical framework for identifying treatment heterogeneity in RCTs.
Optimized Collaborative Brain-Computer Interfaces for Enhancing Face Recognition

The aim of this study is to maximize group decision performance by optimally adapting EEG confidence decoders to the group composition. We train linear support vector machines to estimate the decision confidence of human participants from their EEG activity. We then simulate groups of different size and membership by combining individual decisions using a weighted majority rule. The weights assigned to each participant in the group are chosen solving a small-dimension, mixed, integer linear programming problem, where we maximize the group performance on the training set. We therefore introduce optimized collaborative brain-computer interfaces (BCIs), where the decisions of each team member are weighted according to both the individual neural activity and the group composition. We validate this approach on a face recognition task undertaken by 10 human participants. The results show that optimal collaborative BCIs significantly enhance team performance over other BCIs, while improving fairness within the group. This research paves the way for practical applications of collaborative BCIs to realistic scenarios characterized by stable teams, where optimizing the decision policy of a single group may lead to significant long-term benefits of team dynamics.
Genome sequencing and analysis of genomic diversity in the locally transmitted SARS‐CoV‐2 in Pakistan

Abstract Surveillance of genetic diversity of the SARS‐CoV‐2 is extremely important to detect the emergence of more infectious and deadly strains of the virus. In this study, we evaluated mutational events in the SARS‐CoV‐2 genomes through whole genome sequencing. The samples were collected from COVID‐19 patients in different major cities of Pakistan during the four waves of the pandemic (May 2020 to July 2021) and subjected to whole genome sequencing. Using in silico and machine learning tools, the viral mutational events were analyzed, and variants of concern and of interest were identified during each of the four waves. The overall mutation frequency (mutations per genome) increased during the course of the pandemic from 12.19 to 23.63, 31.03, and 41.22 in the first, second, third, and fourth waves, respectively. We determined that the viral strains rose to higher frequencies in local transmission. The first wave had three most common strains B.1. 36, B.1. 160, and B.1. 255, the second wave comprised B.1. 36 and B.1. 247 strains, the third wave had B.1. 1.7 (Alpha variant) and B.1. 36 strains, and the fourth waves comprised B.1. 617.2 (Delta). Intriguingly, the B.1. 36 variants were found in all the waves of the infection indicating their survival fitness. Through phylogenetic analysis, the probable routes of transmission of various strains in the country were determined. Collectively, our study provided an insight into the evolution of SARS‐CoV‐2 lineages in the spatiotemporal local transmission during different waves of the pandemic, which aided the state institutions in implementing adequate preventive measures.
Brazilians’ level of knowledge, attitudes and practices towards COVID-19: a cross-sectional study

ABSTRACT BACKGROUND: Brazil is facing increasing cycles of numbers of infected people and deaths resulting from coronavirus disease 2019 (COVID-19). This situation involves a series of factors, including the behavior of the population, that can be decisive for controlling the disease. OBJECTIVE: To determine the knowledge, attitudes and practices of the Brazilian population regarding COVID-19. DESIGN AND SETTING: Cross-sectional survey-type study, conducted using a population sample from different Brazilian states. METHODS: A quantitative, descriptive and analytical approach was used. Sampling was done according to convenience and via snowballing. The data collection instrument was a knowledge, attitudes and practices system. RESULTS: 1,655 people from all over Brazil participated in the survey; 80% were living in the southern region and 70.15% were female. More than 90% had knowledge and good attitudes relating to the means of transmission, preventive care and symptoms associated with COVID-19, although their knowledge and attitudes were not fully reflected in daily practices, for which there was lower adherence (80%). Greater knowledge was correlated with older participants, larger number of children, female sex and marital status; better attitude, with female sex and complete higher education; and better practices, with greater age, larger number of children and female sex. CONCLUSION: A large part of the population has general knowledge about COVID-19, but not all knowledge was applied in practice. Older people, females and university graduates stood out as the best informed and most committed to controlling the disease.
Preserved Mucosal-Associated Invariant T Cells in the Cervical Mucosa of HIV-Infected Women with Dominant Expression of the TRAV1-2–TRAJ20 T Cell Receptor α-Chain

Abstract Background Mucosa-associated invariant T (MAIT) cells are innate-like T cells with specialized antimicrobial functions. Circulating MAIT cells are depleted in chronic human immunodeficiency virus (HIV) infection, but studies examining this effect in peripheral tissues, such as the female genital tract, are lacking. Methods Flow cytometry was used to investigate circulating MAIT cells in a cohort of HIV-seropositive (HIV+) and HIV-seronegative (HIV−) female sex workers (FSWs), and HIV− lower-risk women (LRW). In situ staining and quantitative polymerase chain reaction were performed to explore the phenotype of MAIT cells residing in paired cervicovaginal tissue. The cervicovaginal microbiome was assessed by means of 16S ribosomal RNA gene sequencing. Results MAIT cells in the HIV+ FSW group were low in frequency in the circulation but preserved in the ectocervix. MAIT cell T-cell receptor gene segment usage differed between the HIV+ and HIV− FSW groups. The TRAV1-2–TRAJ20 transcript was the most highly expressed MAIT TRAJ gene detected in the ectocervix in the HIV+ FSW group. MAIT TRAVJ usage was not associated with specific genera in the vaginal microbiome. Conclusions MAIT cells residing in the ectocervix are numerically preserved irrespective of HIV infection status and displayed dominant expression of TRAV1-2–TRAJ20. These findings have implications for understanding the role of cervical MAIT cells in health and disease.
Adherence to social distancing during the Covid-19 pandemic in Italy: The role of autonomous motivation and defiance

To maintain social distancing in the long term, in the current COVID-19 scenario, people’s motivation must be strong and of high quality. Many governments adopted measures enforcing social distancing. Enforcement, however, can produce feelings of defiance and backfiring effects. The present work aims at investigating the relationship between autonomous motivation and intentions to maintain social distancing, through adherence to recommendations and feelings of defiance. A sample of 502 Italian residents, from different parts of Italy, completed an online survey assessing their present behavior, levels of autonomous motivation and feelings of defiance, as well as intentions to observe social distancing in the short and long term. Results support the hypotheses that autonomous motivation is related to stronger intentions to maintain social distancing, particularly in the long term, and that feelings of defiance mediate this relationship. These results underline importance of promoting understanding and internalizing reasons for social distancing, beyond norms.
Young people with intellectual disability and the internet: Challenges and opportunities in qualitative research

Conducting qualitative research on young people with intellectual disability and the Internet poses methodological challenges as well as opportunities. Based on memos from a qualitative study, this article focuses on identified gaps related to the challenges of informed consent, access to Internet arenas and using stimulus materials. Opportunities, in terms of flexibility and relationships, are discussed and problematized. The discussion shows that researchers may need to move out of their comfort zone and try nonconventional methods of data collection. It is important to be creative and innovative but also to look after the rights and interests of participants. Furthermore, take a non-directive approach and assume young people with intellectual disability to be experts on their own lives. Finally, the power imbalance between a researcher and participant should be considered and the researcher should ask him-/herself which perspective he/she wishes to present or ‘whose side are we on? ’