Miracle-dz/UniFAR-FTUs huggingface dataset:
Connecting secretome to hematopoietic stem cell phenotype shifts in an engineered bone marrow niche

Hematopoietic stem cells (HSCs) primarily reside in the bone marrow, where they receive external cues from their local microenvironment. The complex milieu of biophysical cues, cellular components, and cell-secreted factors regulates the process by which HSC produce the blood and immune system. We previously showed direct co-culture of primary murine hematopoietic stem and progenitor cells with a population of marrow-derived mesenchymal stromal and progenitor cells (MSPCs) in a methacrylamide-functionalized gelatin (GelMA) hydrogel improves hematopoietic progenitor maintenance. However, the mechanism by which MSPCs influenced HSC fate decisions remained unknown. Herein, we report the use of proteomic analysis to correlate HSC phenotype to a broad candidate pool of 200 soluble factors produced by combined mesenchymal and hematopoietic progeny. Partial Least Squares Regression (PLSR), along with an iterative filter method, identified TGFβ-1, MMP-3, c-RP, and TROY as positively correlated with HSC maintenance. Experimentally, we then observe exogenous stimulation of HSC monocultures in GelMA hydrogels with these combined cytokines increases the ratio of hematopoietic progenitors to committed progeny after a 7-day culture 7.52 ± 3.65 fold compared to non-stimulated monocultures. Findings suggest a cocktail of the downselected cytokines amplify hematopoietic maintenance potential of HSCs beyond that of MSPC-secreted factors alone. This work integrates empirical and computation methods to identify cytokine combinations to improve HSC maintenance within an engineered HSC niche, suggesting a route towards identifying feeder-free culture platforms for HSC expansion. Insight Hematopoietic stem cells within an artificial niche receive maintenance cues in the form of soluble factors from hematopoietic and mesenchymal progeny. Applying a proteomic regression analysis, we identify a reduced set of soluble factors correlated to maintenance of a hematopoietic phenotype during culture in a biomaterial model of the bone marrow niche. We identify a minimum factor cocktail that promotes hematopoietic maintenance potential in a gelatin-based culture, regardless of the presence of mesenchymal feeder-cells. By combining empirical and computational methods, we report an experimentally feasible number of factors from a large dataset, enabling exogenous integration of soluble factors into an engineered hematopoietic stem cell for enhance maintenance potential of a quiescent stem cell population.
Optimisation of the broiler production supply chain

In this paper, we propose a mixed integer programming (MIP) model for the Chicken Flock Sizing, Allocation and Scheduling Problem (CFSASP), which is an important planning problem in the broiler production supply chain. To solve the CFSASP efficiently, two variants of rolling horizon heuristics (RHHs) have been developed and applied on the case of a Norwegian broiler production company. Computational results show that the RHHs successfully obtain high-quality solutions within a reasonable time. The value of optimisation is verified through comparison with the case company's plans, where the solutions from optimisation outperforms the current solutions. Sensitivity analyses are also conducted to provide managerial insights regarding certain strategic decisions, such as how many and which days to use for hatching of chickens. Due to the promising results, the case company is now implementing an optimisation-based decision support system based on the MIP model and solution methods shown in this paper.
Application of 3-D Sensor Tracking Imaging in Detailed Feature Extraction of Motion Damage Action

In order to study the theoretical significance and practical value of the application of three-dimensional sensor tracking imaging in motion damage action detail feature extraction, the key technologies such as accurate segmentation of moving targets, regional feature extraction, target description and robust tracking are studied and discussed. The results show that the robustness of particle filter tracking algorithm in complex scenes can be effectively improved by using the separable feature information of the current tracking scene to track the target. From this it can be seen that the Bandelet transform based on geometric flow divides the image into regions, counts the histogram of the intensity distribution of the strip wave in all directions, and extracts the statistical features. Meanwhile, histogram features are normalized in order to maintain the robustness and selectivity of features.
TBK1 regulates autophagic clearance of soluble mutant huntingtin and inhibits aggregation/toxicity in different models of Huntington’s disease

Phosphorylation of the N-terminal domain of the Huntingtin (HTT) protein (at T3, S13, and S16) has emerged as a key regulator of HTT stability, clearance, localization, aggregation and toxicity. Herein, we report the discovery and validation of a kinase, TANK-binding kinase 1 (TBK1), that specifically and efficiently phosphorylates both wild-type and mutant full-length or N-terminal fragments of HTT in vitro (S13/S16) and in cell/ neuronal cultures (S13). We show that overexpression of TBK1 in mammalian cells, primary neurons and a Caenorhabditis elegans model of Huntington’s Disease (HD) increases mutant HTTex1 phosphorylation, lowers its levels, increases its nuclear localization and significantly reduces its aggregation and cytotoxicity. Our mechanistic studies demonstrate that the TBK1-mediated neuroprotective effects are due to phosphorylation-dependent inhibition of mutant HTTex1 aggregation and an increase in autophagic flux. These findings suggest that upregulation and/or activation of TBK1 represents a viable strategy for the treatment of HD. Graphical abstract
Predição de Relacionamentos em Redes Sociais, uma Revisão Sistemática

The social network analysis area is on the rise. An important task in this area is link prediction, in which the goal is to predict connections between users. For this task it is necessary the use of attributes, methods, algorithms and techniques that measure, somehow, the possibility of a relationship be created. However, there are many approaches and combinations of attributes for predicting links. This paper aims to conduct a comprehensive survey of the attributes/characteristics that can be used to predict links in various contexts of social networks, based on the Systematic Review methodology.
Measuring the Impact of a Single Negative Customer Review on Online Search and Purchase Decisions

How much does a single negative customer review impact online search and purchase behavior? To answer this question, the authors compare choices made by consumers searching for a product that had a negative review posted on its product-page with those made when the same review had “moved” to a second page as additional reviews were posted. By focusing on where the review appears rather than whether it was submitted, our approach tackles concerns of spurious correlation between customer reviews and unobserved demand shocks. Using data from a large online retailer, we find that the discovery of a negative review – one that has 3-stars or less out of 5 – leads to an average drop in purchase probability of 51.4%, an increase in continuing search for a competing item of 11.4%, and a 15.8% increase in the price paid if a purchase occurs. Our findings are presented on a two-dimensional product map – an innovative way to evaluate the vulnerability of products to a single negative review.
G22(P) Are qi methods useful in the design and delivery of a blended learning programme?

Background Six conditions constitute 83% of ED attendances.1 Up to 40% of GPs have no formal paediatric training.2 There is minimal evidence that education is effective in changing physician behaviour or patient outcomes.3 In response, the RCPCH developed 4 e-learning sessions specifically for GPs on: fever, breathlessness, diarrhoea and vomiting and constipation. However, elearning alone is not as effective as a blended learning approach.4- Quality Improvement (QI) methodologies have rarely been used to deliver such programmes. Aims Design and evaluate a blended learning educational intervention (e-learning component and a 3 hour face to face workshop) for GPs utilising QI methodologies. Methods The use of Process Maps and Plan, Do, Study, Act (PDSA) cycles were used to inform and assess delivery. E-learning pre and post tests were done to assess knowledge attainment. Feedback was collected during and at the end of each face to face workshop and GPs invited to participate in a telephone interview 4–6 weeks later. Results 163 attended the two workshops and 104 completed the feedback. Workshops were rated as ‘Very good’ or ‘Excellent’ by 84%; 74% of the attendees reported this was relevant to their current practice. 32 participants completed the e-learning (workshop1: 20%, workshop2: 32%). Average pre/post knowledge test: 6.1/10 and 9.5/10 respectively. E-learning content rated: 4.5 out of 5 (1 poor and 5 excellent). 11 GPs consented to be interviewed; 5 were interviewed 4–6weeks post programme. All GPs reported that the programme has had an impact in their clinical practice e.g. ‘I have finally have got round to printing off the traffic light table (…) I can actually look up respiratory rates and heart rates, and that has made a difference, and I actually write them down more often’. Process Mapping and PDSAs identified a number of themes; such as e-learning accessibility, standardised presentation content and interview recruitment (Fig 1). Conclusion This study demonstrates that QI methods have been invaluable in design and delivery of an educational bundle. The RCPCH have used these findings to deliver a national launch including onsite e-learning completion and workshop in 2017.
Highly Enhanced Curie Temperature in Ga‐Implanted Fe3GeTe2 van der Waals Material

Among many efforts in the research of van der Waals (vdW) magnetic materials, increasing the Curie temperature above room temperature has been at the center of research in developing spintronics technology using vdW materials. Here an effective and reliable method of increasing the Curie temperature of ferromagnetic Fe3GeTe2 vdW materials by Ga implantation is reported. It is found that implanting Ga into Fe3GeTe2 by the amount of 10−3 Ga Å−3 could greatly enhance the Fe3GeTe2 Curie temperature by almost 100%. Spatially resolved microdiffraction and element‐resolved X‐ray absorption spectroscopy show little changes in the Fe3GeTe2 crystal structure and Fe valence state. In addition, the Ga implantation changes the Fe3GeTe2 magnetization from out‐of‐plane direction at low temperature to in‐plane direction at high temperature. The result opens a new opportunity for tailoring the magnetic properties of vdW materials beyond room temperature.
Introducing the Play in Education, Development and Learning (PEDAL) Research Centre

ABSTRACT This paper provides an overview of the work being conducted at the Play in Education, Development and Learning (PEDAL) Research Centre, based in the Faculty of Education, University of Cambridge, UK. PEDAL has three main aims, (1) To conduct world-class research, (2) To build capacity in play research and (3) To influence policy and practice. The present paper provides an overview of the history and rationale for PEDAL, followed by some detailed examples of the foci of its work. Exemplar research is presented on the theme of ‘Measuring Play’; an endeavour that is common to many of the different research projects led by PEDAL investigators and Ph.D. students.
Benign paroxysmal tonic upgaze of childhood; a rare syndrome

Benign Paroxysmal Tonic Upgaze is an oculomotor syndrome which was first described by Ovurier and Billson [1]. It consists of episodes of conjugate deviation of eyes with the onset in early infancy [2]. Detailed evaluation including metabolic, electroencephalographic and neuroimaging is often normal. The exact pathogenesis is yet unknown. We report a 10 month old boy who presented with persistent tonic upgaze.
Inverting Topography for Landscape Evolution Model Process Representation: 1. Conceptualization and Sensitivity Analysis

Despite considerable community effort, there is no general set of equations to model long‐term landscape evolution. In order to determine a suitable set of landscape evolution process laws for a site where postglacial erosion has incised valleys up to 50 m deep, we generate a set of alternative models and perform a multimodel analysis. The most basic model we consider includes stream power channel incision, uniform lithology, hillslope transport by linear diffusion, and surface‐water discharge proportional to drainage area. We systematically add one, two, or three elements of complexity to this model from one of four categories: hillslope processes, channel processes, surface hydrology, and representation of geologic materials. We apply methods of formal model analysis to the 37 alternative models. The global Method of Morris sensitivity analysis method is used to identify model input parameters that most and least strongly influence model outputs. Only a few parameters are identified as important, and this finding is consistent across two alternative model outputs: one based on a collection of topographic metrics and one that uses an objective function based on a topographic difference. Parameters that control channel erosion are consistently important, while hillslope diffusivity is important for only select model outputs. Uncertainty in initial and boundary conditions is associated with low sensitivity. Sensitivity analysis provides insight to model dynamics and is a critical step in using model analysis for mechanistic hypothesis testing in landscape evolution theory.
Influence of Ag nanoparticles on the physical properties of multilayers of graphene

Graphene has attracted considerable interest due its exceptional physical properties. This article describes the thermoelectric and magnetic properties such as the Seebeck coefficient and the magnetoresistance, at room temperature, of multilayers of graphene fabricated through the chemical vapor deposition (CVD) method and coated with Ag nanoparticles (NPs). According to the results, the Seebeck coefficient increased from -30 to -5 μV/K as a function of deposition time of Ag NPsand magnetoresistance increase their initial value as a function of sheet resistance up to 16.6%.
Effects of Vitamin – Mineral Supplement on the Immune Response of Broilers to Newcastle Disease Vaccination

To study effects of vitamins-minerals (VMS) supplementation on immune response of chicks to Newcastle disease vaccination (NDV- LaSota), one hundred broiler chicks were assigned to 4 treatment groups of 25 each. One group was given VMS before the vaccination. Another group was given the supplementation after the vaccination. A third group was given the VMS before and after the vaccination while the fourth group served as vaccinated control. Administration of VMS was in each case, through drinking water. Five randomly selected chicks from each group were bled for sera, used for haemagglutination inhibition (HI)-NDV antibodies test. Three weeks post vaccination, mean NDV antibody titre (1.87±0.18) in chicks given VMS before and after the vaccination was significantly (P 0.05) from 1.810. 17 and 1.74±0.06, respectively of groups that received the supplementation only before and only after vaccination.
Multi-Person Recognition Using Separated Micro-Doppler Signatures

It is challenging to recognize individuals when they move in the radar field of view due to the superimposition of micro-Doppler signatures. This paper presents a multi-person recognition approach by separating micro-Doppler signatures of multiple persons into their individual components. The preliminary separation can be obtained by their range difference in a high resolution radar. A multi-task learning network is designed for both the fine separation of micro-Doppler signatures and the personnel recognition. A frequency modulated continuous waveform (FMCW) radar that operates at 77 GHz for automotive applications is used in experiments. The proposed deep-neural-network-based approach gives a convincing result in the test.
Tiltrotors Position Tracking Controller Design Using Deep Reinforcement Learning

In this paper, a quad-tiltrotors air-water trans-domain robot is introduced. The nonlinear dynamic behaviours with uncertainties require a robust controller for multi-tasks. For this robot, controllers are designed using deep reinforcement learning method solving position and attitude control when operating as a UAV in the air. A ROS combining Gazebo simulation platform is designed to train the robot. The simulation results show the tiltrotors robot gets capabilities of spots tracking as a quad-rotors, and trajectory tracking as both the quad-rotors and tiltrotors.
Sleep duration and the risk of obesity – a cross-sectional study

Introduction: So far, the association between a longer sleep duration, state of health, and the risk of obesity and the influence of gender on the association between sleep duration and the risk of obesity has not been fully explained. Aim of the research: To examine the relationships between self-reported sleep duration, body mass index (BMI), and body fat percentage (%BF), and also to determine whether such associations are the same in men and in women. Material and methods: This study included 10,367 participants aged 37 to 66 years. Logistic regression was applied for risk assessment of the prevalence of abnormal BMI values and %BF in groups of sleep duration. Sleep of 7–8 h per night was adopted as a reference level. Results: In men, the risk of obesity was significantly greater only in the group sleeping ≤ 6 h (OR = 1.18, 95% CI: 1.08–1.28; p < 0.05); however, in women, only among those sleeping ≥ 9 h (OR = 1.14, 95% CI: 1.02–1.26; p < 0.05). The risk of obesity, determined on the basis of %BF, was higher only in individuals sleeping ≥ 9 h. In the adjusted model, it turned out to be significant in the general study population (OR = 1.28, 95% CI: 1.07–1.53; p < 0.05) and in women (OR = 1.14, 95% CI: 1.03–1.27; p < 0.05). Conclusions: In women, a greater risk of obesity was related to a longer sleep duration (≥ 9 h), whereas in men, the tendency of obesity occurrence along with shorter sleep (≤ 6 h). Thus, the physiological consequences of sleep duration may be different in women than in men.
Are Nurses Willing to Provide Care to Obese Surgical Patients

Objectives: The aim of this study was to identify the willingness of nurses working in surgical units to provide care to obese surgical patients and related factors. Methods: This descriptive study was conducted with 250 nurses from surgical units of the 3 hospitals. Data analysis was performed by using frequency, percentage, mean, standard deviation, and chi-square test. Results: It was found that 85.6% of nurses were unwilling to provide care to obese surgical patients. The reasons of nurses' unwillingness to provide care included back/low-back pain, fears of dropping the patient, and inability to meet patients' care needs. It was determined that the intensive care nurses, who provided care to one to three patients a month, who were untrained in obese patient care, who worked with inadequate staff during nursing care procedures, and those who experienced emotional problems during care delivery were unwilling to provide caring. It was also found that most of the equipment required for obese patient care .
Effect of Training, Hyaluronic Acid, and Mesenchymal Stem Cell Therapies on Osteocalcin Gene Expression in Cartilage Tissue of Rats with Knee Osteoarthritis

Background: Osteoarthritis (OA) is one of the most common progressive diseases in the joints. A few studies have evaluated the eﬀect of combined endurance training (ET), hyaluronic acid (HA), and mesenchymal stem cells (MSCs) on bone mass. Objectives: The present study aimed to examine the eﬀect of ET, HA, and MSCs on osteocalcin (OC) gene expression in cartilage tissues of rats with knee OA. Methods: In this experimental study, 40 rats with OA were divided into eight groups of ﬁve rats, including (1) control, (2) MSCs, (3) HA, (4) ET, (5) HA + MSCs, (6) ET + HA, (7) ET + MSCs, and (8) ET + MSCs + HA. To investigate the eﬀects of OA on OC, ﬁve rats were assigned to the healthy group. During eight weeks, the ET groups ran on a treadmill three sessions per week (30 - 50 min at a speed of 16 m/min), the MSC groups received MSCs (1 × 10 6 cells/kg) intra-articularly, and the HA groups were treated with a 10 mg/mL intra-articulartherapeuticdoseof HA.TheOCgeneexpressionlevelsweremeasuredbythereal-timePCRmethod. TheShapiro-Wilk and one-way ANOVA with Tukey’s post hoc tests were used to analyze the data (P ≤ 0.05). Results: Osteoarthritis signiﬁcantly decreased OC (P ≤ 0.05); nevertheless, ET + HA + MSCs, HA + MSCs, ET + HA, and ET + MSCs signiﬁcantly increased OC (P ≤ 0.05). Also, OC was signiﬁcantly higher in the ET + HA + MSCs group than in either of ET, HA, or MSC groups (P ≤ 0.05). Conclusions: It seems that a combination of ET, HA, and MSCs has more favorable eﬀects than each one alone on the improvement of OC in cartilage tissues of rats with knee OA.
Impact Environnemental de L’adoption des Variétés Ameliorées de Soja dans le Département du Borgou au Nord du Bénin

Improved varieties have been introduced in agriculture with the aim of increasing yields. But their production is very controversial because of environmental concerns. They are, in fact, associated with agrobiochemical products such as fertilizers, herbicides, insecticides etc. If the effectiveness of these products has been proven, handling them poses serious environmental and health problems. The objective of this study is to determine the environmental impact of the adoption of improved varieties ofsoybeans in the Borgou department of Benin. To achieve this, a survey was conducted in the study area in March 2018 on 219 randomly selected producers. The data obtained was processed using the econometric tool. Thus, the estimation of a two-stage Heckman model and a linear regression model have shown that the adoption of improved soybean varieties does not affect the quality of the environment in the study area. Les varietes ameliorees ont ete introduites dans l’agriculture dans l’objectif d’accroitre les rendements. Mais leur production suscite beaucoup de controverses en raison des preoccupations d’ordre environnemental. Elles sont, en effet, associee a des produits agrobiochimiques tels que les engrais, herbicides, insecticides etc. Si l’efficacite de ces produits a ete prouvee, leur manipulation pose de serieux problemes environnementaux et sanitaires. L’objectif de cette etude est de determiner l’impact environnemental de l’adoption des varietes ameliorees de soja dans le departement du Borgou au Benin. Pour y parvenir, une enquete a ete menee dans la zone d’etude en mars 2018 sur 219 producteurs choisis au hasard. Les donnees obtenues ont ete traite a l’aide de l’outil econometrique. Ainsi, l’estimation d’un modele de Heckman a deux etapes d’une part et d’un modele de regression lineaire d’autre part ont permis de montrer que l’adoption des varietes ameliorees de soja n’affecte nullement la qualite de l’environnement dans la zone d’etude.