Miracle-dz/UniFAR-FTUs huggingface dataset:
Adapting primary care for new migrants: a formative assessment

Background Immigration rates have increased recently in the UK. Migrant patients may have particular needs that are inadequately met by existing primary care provision. In the absence of national guidance, local adaptations are emerging in response to these new demands. Aim To formatively assess the primary care services offered to new migrants and the ways in which practitioners and practices are adapting to meet need. Design & setting Online survey and case studies of current practice across primary care in the UK. Case studies were selected from mainstream and specialist general practice as well as primary care provision in the third sector. Method Non-probability sample survey of primary care practitioners (n = 70) with descriptive statistical analysis. Qualitative case studies (n = 8) selected purposively; in-depth exploration of organisational and practitioner adaptations to services. Analysis is structured around the principles of equitable care. Results Survey results indicated that practitioners focused on working with communities and external agencies and adapting processes of, for example, screening, vaccination, and health checks. Lack of funding was cited most frequently as a barrier to service development (n = 51; 73%). Case studies highlighted the prominence partnership working and of an organisational and practitioner focus on equitable care. Adaptations centred on addressing wider social determinants, trauma, and violence, and additional individual needs; and on delivering culturally-competent care. Conclusion Despite significant resource constraints, some primary care services are adapting to the needs of new migrants. Many adapted approaches can be characterised as equity-oriented.
High Partial Auxeticity Induced by Nanochannels in [111]-Direction in a Simple Model with Yukawa Interactions

Computer simulations using Monte Carlo method in the isobaric-isothermal ensemble were used to investigate the impact of nanoinclusions in the form of very narrow channels in the [111]-direction on elastic properties of crystals, whose particles interact via Yukawa potential. The studies were performed for several selected values of Debye screening length ((κσ)−1). It has been observed that introduction of the nanoinclusions into the system reduces the negative value of Poisson’s ratio towards [110][11¯0], maintaining practically constant values of Poisson’s ratio in the directions [100] and [111]. These studies also show that concentration of particles forming the nanoinclusions in the system has a significant effect on the value of Poisson’s ratio in the [110][11¯0]-direction. A strong (more than fourfold) decrease of Poisson’s ratio in this direction was observed, from −0.147(3) (system without inclusions) to −0.614(14) (system with nanoinclusions) at κσ=10 when the inclusion particles constituted about 10 percent of all particles. The research also showed an increase in the degree of auxeticity in the system with increasing concentration of nanoinclusion particles for all the screening lengths considered.
lncRNA involvement in hepatocellular carcinoma metastasis and prognosis

Eukaryotic lncRNAs are RNA molecules defined to be greater than 200 bp in length that are not translated to a protein and operate through several mechanisms, including participating in chromatin remodeling and methylation, influencing the integrity and stability of proteins and complexes, or acting as a sponge for miRNA inhibition. A number of recent studies have concentrated on the relationship between long non-coding RNAs (lncRNAs) and cancer. Hepatocellular carcinoma (HCC) is the most prevalent histological type of liver tumors, accounting for about 80 % of the cases worldwide. Lack of proper molecular markers for diagnosis of HCC and treatment evaluation is a significant problem. Dysregulated expression of HCC-related lncRNAs such as MEG-3, MALAT1, HULC, HOTAIR, and H19 have been identified and closely related with tumorigenesis, metastasis, prognosis and diagnosis. In this review, we summarized recent highlighted functions and molecular mechanisms of the most extensively studied lncRNAs in the pathophysiology of hepatocellular carcinoma and their potential for serving as probable therapeutic targets.
Perspectives of General Practitioners on the Issues Surrounding the Late Diagnosis of Alzheimer’s Disease

We set out to investigate the insights general practitioners (GPs) have into the early signs and symptoms of Alzheimer’s disease (AD), factors that may be responsible for the late diagnosis, as well as their recommendations for early diagnosis of AD. This was a semi-structured, qualitative and audio-recorded interview of seven GPs, from five GP surgeries in Milton Keynes and Luton, using the framework analysis. GPs reported challenges with the current patient’s consultation time, a lack of continuity of care, inadequate training, limited support for patients after diagnosis, and poor treatment of the UK’s aging population. The study highlights important changes that would facilitate the earlier diagnosis of AD.
Compartment models for the electrical stimulation of retinal bipolar cells

Bipolar cells of the retina are among the smallest neurons of the nervous system. For this reason, compared to other neurons, their delay in signaling is minimal. Additionally, the small bipolar cell surface combined with the low membrane conductance causes very little attenuation in the signal from synaptic input to the terminal. The existence of spiking bipolar cells was proven over the last two decades, but until now no complete model including all important ion channel types was published. The present study amends this and analyzes the impact of the number of model compartments on simulation accuracy. Characteristic features like membrane voltages and spike generation were tested and compared for one-, two-, four- and 117-compartment models of a macaque bipolar cell. Although results were independent of the compartment number for low membrane conductances (passive membranes), nonlinear regimes such as spiking required at least a separate axon compartment. At least a four compartment model containing the functionally different segments dendrite, soma, axon and terminal was needed for understanding signaling in spiking bipolar cells. Whereas for intracellular current application models with small numbers of compartments showed quantitatively correct results in many cases, the cell response to extracellular stimulation is sensitive to spatial variation of the electric field and accurate modeling therefore demands for a large number of short compartments even for passive membranes.
A Systematic Review and Critical Analysis of the Role of Graphene-Based Nanomaterials in Cancer Theranostics

Many graphene-based materials (GBNs) applied to therapy and diagnostics (theranostics) in cancer have been developed. Most of them are hybrid combinations of graphene with other components (e.g., drugs or other bioactives, polymers, and nanoparticles) aiming toward a synergic theranostic effect. However, the role of graphene in each of these hybrids is sometimes not clear enough and the synergic graphene effect is not proven. The objective of this review is to elaborate on the role of GBNs in the studies evaluated and to compare the nanoformulations in terms of some of their characteristics, such as therapeutic outcomes and toxicity, which are essential features for their potential use as bionanosystems. A systematic review was carried out using the following databases: PubMed, Scopus, and ISI Web of Science (2013–2018). Additional studies were identified manually by consulting the references list of relevant reviews. Only English papers presenting at least one strategy for cancer therapy and one strategy for cancer diagnostics, and that clearly show the role of graphene in theranostics, were included. Data extraction and quality assessment was made by reviewer pairings. Fifty-five studies met the inclusion criteria, but they were too heterogeneous to combine in statistical meta-analysis. Critical analysis and discussion of the selected papers are presented.
Taming the Wild: A Scalable Anycast-Based CDN Architecture (T-SAC)

The prohibitive cost of deploying a sophisticated DNS-based CDN makes anycast-based CDN an attractive alternative for new or small CDN operators. In anycast-based CDNs, user requests are naturally routed to the “closest” server determined by Internet routing. For the operators, however, this comes at a cost—loss of control—how the traffic is routed is entirely at the mercy of BGP routing. The “closest” server may be overloaded, or simply not the best choice. This “loss of control” undermines the scalability of anycast-based CDN architectures. To have control over how traffic is routed, existing work either requires adding a large amount of complexity to the system (high Capex/Opex) or is unable to achieve precise and fine-grained control. This paper proposes T-SAC, a scalable anycast-based CDN architecture that capitalizes on the programmability and flexibility of SDN/NFV, enabling fine-grained traffic redirection among CDN servers. T-SAC achieves precise control by leveraging a load-based redirection algorithm and a single 1-bit no-redirect flag. We implement T-SAC in the real system and evaluate its performance from various aspects using DASH and web applications. The results show that T-SAC is capable of redirecting the right amount of traffic at the right time to the right servers, making the system highly scalable.
Prudent-Active and Fast-Food-Sedentary Dietary-Lifestyle Patterns: The Association with Adiposity, Nutrition Knowledge and Sociodemographic Factors in Polish Teenagers—The ABC of Healthy Eating Project

A holistic approach to understanding the relationship between diet, lifestyle and obesity is a better approach than studying single factors. This study presents the clustering of dietary and lifestyle behaviours to determine the association of these dietary-lifestyle patterns (DLPs) with adiposity, nutrition knowledge, gender and sociodemographic factors in teenagers. The research was designed as a cross-sectional study with convenience sampling. The sample consisted of 1549 Polish students aged 11–13 years. DLPs were identified with cluster analysis. Logistic regression modelling with adjustment for confounders was applied. Three dietary-lifestyle patterns were identified: Prudent-Active (29.3% of the sample), Fast-food-Sedentary (13.8%) and notPrudent-notFast-food-lowActive (56.9%). Adherence to Prudent-Active pattern (reference: notPrudent-notFast-food-lowActive) was 29% or 49% lower in 12-year-old or 13-year-old teenagers than in 11-year-old teenagers, respectively, and higher by 57% or 2.4 times in the middle or the upper tertile than the bottom tertile of the nutrition knowledge score. To the contrary, adherence to Fast-food-Sedentary (reference: notPrudent-notFast-food-lowActive) was lower by 41% or 58% in the middle or the upper tertile than the bottom tertile of the nutrition knowledge score, respectively. In Prudent-Active, the chance of central obesity (waist-to-height ratio ≥0.5) was lower by 47% and overweight/obesity was lower by 38% or 33% (depending on which standard was used: International Obesity Task Force, 2012: BMI (body mass index)-for-age ≥ 25 kg/m2 or Polish standards, 2010: BMI-for-age ≥ 85th percentile) when compared with the notPrudent-notFast-food-lowActive pattern. In Fast-food-Sedentary, the chance of central obesity was 2.22 times higher than the Prudent-Active pattern. The study identified a set of characteristics that decreased the risk of general and central adiposity in teenagers, which includes health-promoting behaviours related to food, meal consumption and lifestyle. Avoiding high-energy dense foods is insufficient to prevent obesity, if physical activity and the consumption frequency of health-promoting foods are low and breakfast and a school meal are frequently skipped. The results highlight the importance of the nutrition knowledge of teenagers in shaping their health-promoting dietary habits and active lifestyle to decrease adiposity risk and negative aspects of lower family affluence which promotes unhealthy behaviours, both related to diet and lifestyle.
Causes of bruising in carcasses of beef cattle during farm, transport, and slaughterhouse handling in Brazil.

This study aimed to assess preslaughter factors responsible for the occurrence of bruises to front, rib, loin, hip, and round sites of cattle carcasses. Data from the slaughter of 148 loads of cattle were assessed, totaling 4,611 carcasses. Evaluated bruising factor variables were animal gender, journey distance (km), vehicle type (m²), journey time (hours), load density (kg/m2 ), handling and facilities conditions (optimal, acceptable, and unacceptable), and unloading waiting time (min). Gender had the strongest influence on carcass bruising, being the first variable to enter in the majority of models related to the carcass sites. Female carcasses displayed higher bruising in all sites. Densities above 401 kg/m² caused more bruising. With the exception of the loin, unacceptable, and acceptable conditions assigned to farm facilities and handling resulted in higher average bruising. Articulated vehicles with a greater load capacity were more likely to cause bruising. The effects of variables causing bruises act differently in the various carcass sites. In this sense, the results of this study suggested possible management practices for specific problems during the preslaughter period to minimize losses by bruising to different carcass sites.
A Multidimensional Approach to Post-concussion Symptoms in Mild Traumatic Brain Injury

Mild traumatic brain injury (mTBI) presents a substantial burden to patients, families, and health care systems. Whereas, recovery can be expected in the majority of patients, a subset continues to report persisting somatic, cognitive, emotional, and/or behavioral problems, generally referred to as post-concussion syndrome (PCS). However, this term has been the subject of debate since the mechanisms underlying post-concussion symptoms and the role of pre- and post-injury-related factors are still poorly understood. We review current evidence and controversies concerning the use of the terms post-concussion symptoms vs. syndrome, its diagnosis, etiology, prevalence, assessment, and treatment in both adults and children. Prevalence rates of post-concussion symptoms vary between 11 and 82%, depending on diagnostic criteria, population and timing of assessment. Post-concussion symptoms are dependent on complex interactions between somatic, psychological, and social factors. Progress in understanding has been hampered by inconsistent classification and variable assessment procedures. There are substantial limitations in research to date, resulting in gaps in our understanding, leading to uncertainty regarding epidemiology, etiology, prognosis, and treatment. Future directions including the identification of potential mechanisms, new imaging techniques, comprehensive, multidisciplinary assessment and treatment options are discussed. Treatment of post-concussion symptoms is highly variable, and primarily directed at symptom relief, rather than at modifying the underlying pathology. Longitudinal studies applying standardized assessment strategies, diagnoses, and evidence-based interventions are required in adult and pediatric mTBI populations to optimize recovery and reduce the substantial socio-economic burden of post-concussion symptoms.
Increased self-care activities and glycemic control rate in relation to health education via Wechat among diabetes patients

Background: Health education has been considered as the effectiveness method to increase the self-care skills of diabetes patients. However, limited studies to investigate the association of health education via Wechat platform on increased the basic self-care skills and glycemic control rate in patients with type 2 diabetes. Methods: A total number of 120 type 2 diabetes patients were randomized into intervention (health education by Wechat platform plus usual care) and the control group (usual care). Biochemical parameters including fasting plasma glucose (FPG), 2-hour plasma glucose (2hPG), glycosylated hemoglobin A1c (HbA1c) were measured among the 2 groups at baseline 6-month and 12-month. Diabetes Management Self-Efficacy (SE) Scale was completed at baseline 6-month and 12-month. Results: Significant difference of HbA1c concentration and SE were found between intervention and control groups at 6-month and 12-month (P <.05). The effect of groups and health education duration times was found on reduced HbA1c concentration and increased the total score of SE (P <.05). No significant difference of FPG and 2hPG concentrations were found between intervention and control groups at 6 months and 12 months (P >.05). Conclusion: Health education of diabetic individuals via Wechat platform in conjunction with conventional diabetes treatment could improve glycemic control and positively influence other aspects of diabetes self-care skills.
MaxFlow: a Convolutional Neural Network Based Optical Flow Algorithm for Large Displacement Estimation

Optical flow estimation is a basic problem in computer vision. FlowNet is the first convolutional neural network based optical algorithm that estimates optical flow by learning the relationship between image pair and the corresponding optical flow. In this paper, MaxFlow is proposed to improve the accuracy of FlowNet. The architecture of MaxFlow is similar to that of FlowNetSimple. MaxFlow uses two kinds of new layers, which are designed specially for estimating large displacements of small scale objects. The new down sampling layer makes the network to predict the maximum displacement in a region. Thus the large movements will not be missed. The new up sampling layer up samples the estimated optical flow fields without using any parameter. It simplifies the network without decreasing the accuracy of the network. Experiments on synthetic datasets and real datasets illustrate that the two new layers are effective and the accuracy of MaxFlow is higher than that of FlowNet.
First-Person Activity Recognition Based on Three-Stream Deep Features

In this paper, we present a novel three-stream deep feature fusion technique to recognize interaction-level human activities from a first-person viewpoint. Specifically, the proposed approach distinguishes human motion and camera ego-motion to focus on human’s movement. The features of human and camera ego-motion information are extracted from the three-stream architecture. These features are fused by considering a relationship of human action and camera ego-motion. To validate the effectiveness of our approach, we perform experiments on UTKinect-FirstPerson dataset, and achieve state-of-the-art performance.
Obesity and Preeclampsia: Common Pathophysiological Mechanisms

Preeclampsia is a disorder specific of the human being that appears after 20 weeks of pregnancy, characterized by new onset of hypertension and proteinuria. Abnormal placentation and reduced placental perfusion associated to impaired trophoblast invasion and alteration in the compliance of uterine spiral arteries are the early pathological findings that are present before the clinical manifestations of preeclampsia. Later on, the endothelial and vascular dysfunction responsible of the characteristic vasoconstriction of preeclampsia appear. Different nutritional risk factors such as a maternal deficit in the intake of calcium, protein, vitamins and essential fatty acids, have been shown to play a role in the genesis of preeclampsia, but also an excess of weight gain during pregnancy or a pre-pregnancy state of obesity and overweight, which are associated to hyperinsulinism, insulin resistance and maternal systemic inflammation, are proposed as one of the mechanism that conduce to endothelial dysfunction, hypertension, proteinuria, thrombotic responses, multi-organ damage, and high maternal mortality and morbidity. Moreover, it has been demonstrated that pregnant women that suffer preeclampsia will have an increased risk of future cardiovascular disease and related mortality in their later life. In this article we will discuss the results of studies performed in different populations that have shown an interrelationship between obesity and overweight with the presence of preeclampsia. Moreover, we will review some of the common mechanisms that explain this interrelationship, particularly the alterations in the L-arginine/nitric oxide pathway as a crucial mechanism that is common to obesity, preeclampsia and cardiovascular diseases.
An Enhanced Quantum-Behaved Particle Swarm Optimization for Security Constrained Economic Dispatch

QPSO algorithm has been widely used in economic dispatch of power system. However, the algorithm is often trapped in local optima because of lack of population diversity in the evolutionary process. Therefore, an operation called random perturbation is introduced into QPSO algorithm, which provides the algorithm with effective dynamic adaptability and improves the local search capabilities and global search capability. The improved algorithm is used in two groups of typical examples. And the optimization results were compared with GA algorithm, PSO algorithm and QPSO algorithm. The experimental results show that the new algorithm has better convergence and stability, obtains lower generation cost, and can effectively solve the power system economic dispatch problem.
Effects of supplemental vitamin D and calcium on markers of proliferation, differentiation, and apoptosis in the normal colorectal mucosa of colorectal adenoma patients

To clarify the roles of vitamin D and calcium as potential chemopreventive agents against colorectal cancer in humans, and to develop “treatable”, pre-neoplastic, phenotypic biomarkers of risk for colorectal neoplasms, we estimated the effects of supplemental vitamin D3 (1,000 IU/day [25 μg/day]) and calcium (1,200 mg/day), alone and in combination, on biomarkers of proliferation (mib-1), differentiation (p21), and apoptosis (bax [apoptosis-promoting] and bcl-2 [apoptosis-inhibiting]), in the normal-appearing rectal mucosa in a subsample of participants (n = 104) in a larger randomized, double-blind, placebo-controlled clinical trial among colorectal adenoma patients. The biomarkers were measured in rectal biopsies at baseline and after one year of follow up, using automated immunohistochemistry and quantitative image analysis. In the vitamin D plus calcium group relative to control, in the crypt differentiation zone (upper 40% of crypts), mib-1 expression decreased 24% (P = 0.28); p21 expression alone and relative to mib-1 expression increased 29% (P = 0.06) and 73% (P = 0.06), respectively; and bax expression relative to mib-1 expression increased 58% (P = 0.21). The estimated vitamin D alone treatment effects were similar but of lesser magnitudes, and those for calcium alone were mixed. All estimated treatment effects on bcl-2 expression were close to the null. These pilot study results support further investigation of whether 1) vitamin D and calcium promote colorectal epithelial cell differentiation, reduce proliferation, and promote apoptosis in the normal-appearing human colorectal mucosa, 2) vitamin D and calcium act as chemopreventive agents against colorectal neoplasms, and 3) mib-1, p21, and bax are potential “treatable”, pre-neoplastic, biomarkers of risk for colorectal neoplasms.