Miracle-dz/UniFAR-FTUs huggingface dataset:
CHLOROPLAST STRUCTURE AND FUNCTION IN ac-20, A MUTANT STRAIN OF CHLAMYDOMONAS REINHARDI

The fine structure of the ac-20 strain of Chlamydomonas reinhardi is described. Cells grown mixotrophically in the presence of acetate have a highly disordered chloroplast membrane organization and usually lack pyrenoids. Chloroplast ribosome levels are only 5–10% of wild-type levels. Cells grown phototrophically without acetate possess more chloroplast ribosomes and have more normal membrane and pyrenoid organization. Chloroplast ribosome levels rise rapidly when cells are transferred from acetate to minimal medium, whereas membrane reorganization occurs only after a lag. These results, combined with earlier studies of the photosynthetic properties of the mutant strain, suggest that proper membrane organization, Photosystem II activity, and ribulose-1,5-diphosphate carboxylase formation are dependent on the presence of chloroplast ribosomes. Other chloroplast components tested are unaffected by a 10-fold reduction in levels of chloroplast ribosomes.
Striking a balance between in-person care and the use of eHealth to support the older rural population with chronic pain

New and existing information communication technologies (ICT) are playing an increasingly important role in the delivery of health and social care services. eHealth1 has the potential to supplement in-person home visits for older, rural adults with chronic pain. The Technology to support Older Adults' Personal and Social Interaction project—TOPS—examines interactions between older people and their health/social care providers and considers how eHealth could play a part in enhancing the life experiences of older people with chronic pain, who live in remote/rural areas. This paper reports findings from the TOPS study, drawing upon observations of health/social care home visits to chronic pain patients and interviews with patients and health/social care providers in rural Scotland. Patients and care professionals believe in-person care promotes the general well-being of older people with pain. However, our findings show that the potential recipients of eHealth are open to the use of such technologies and that although they cannot be expected to replace existing models of care, eHealth may provide opportunities to sustain and enhance these interactions.
Biocompatibility of a Magnetic Tunnel Junction Sensor Array for the Detection of Neuronal Signals in Culture

Magnetoencephalography has been established nowadays as a crucial in vivo technique for clinical and diagnostic applications due to its unprecedented spatial and temporal resolution and its non-invasive methods. However, the innate nature of the biomagnetic signals derived from active biological tissue is still largely unknown. One alternative possibility for in vitro analysis is the use of magnetic sensor arrays based on Magnetoresistance. However, these sensors have never been used to perform long-term in vitro studies mainly due to critical biocompatibility issues with neurons in culture. In this study, we present the first biomagnetic chip based on magnetic tunnel junction (MTJ) technology for cell culture studies and show the biocompatibility of these sensors. We obtained a full biocompatibility of the system through the planarization of the sensors and the use of a three-layer capping of SiO2/Si3N4/SiO2. We grew primary neurons up to 20 days on the top of our devices and obtained proper functionality and viability of the overlying neuronal networks. At the same time, MTJ sensors kept their performances unchanged for several weeks in contact with neurons and neuronal medium. These results pave the way to the development of high performing biomagnetic sensing technology for the electrophysiology of in vitro systems, in analogy with Multi Electrode Arrays.
Evaluating the Accuracy of Diffusion MRI Models in White Matter

Models of diffusion MRI within a voxel are useful for making inferences about the properties of the tissue and inferring fiber orientation distribution used by tractography algorithms. A useful model must fit the data accurately. However, evaluations of model-accuracy of commonly used models have not been published before. Here, we evaluate model-accuracy of the two main classes of diffusion MRI models. The diffusion tensor model (DTM) summarizes diffusion as a 3-dimensional Gaussian distribution. Sparse fascicle models (SFM) summarize the signal as a sum of signals originating from a collection of fascicles oriented in different directions. We use cross-validation to assess model-accuracy at different gradient amplitudes (b-values) throughout the white matter. Specifically, we fit each model to all the white matter voxels in one data set and then use the model to predict a second, independent data set. This is the first evaluation of model-accuracy of these models. In most of the white matter the DTM predicts the data more accurately than test-retest reliability; SFM model-accuracy is higher than test-retest reliability and also higher than the DTM model-accuracy, particularly for measurements with (a) a b-value above 1000 in locations containing fiber crossings, and (b) in the regions of the brain surrounding the optic radiations. The SFM also has better parameter-validity: it more accurately estimates the fiber orientation distribution function (fODF) in each voxel, which is useful for fiber tracking.
Hand washing behavior and associated factors in Vietnam based on the Multiple Indicator Cluster Survey, 2010–2011

Background Handwashing is a cost-effective way of preventing communicable diseases such as respiratory and food-borne illnesses. However, handwashing rates are low in developing countries. Target 7C of the seventh Millennium Development Goals was to increase by half the proportion of people with sustainable access to safe drinking water and basic sanitation by 2015. Studies have found that better access to improved water sources and sanitation is associated with higher rates of handwashing. Objective Our goal was to describe handwashing behaviour and identify the associated factors in Vietnamese households. Design Data from 12,000 households participating in the Vietnam Multiple Indicator Cluster Survey 2011 were used. The survey used a multistage sampling method to randomly select 100 clusters and 20 households per cluster. Self-administered questionnaires were used to collect data from a household representative. Demographic variables, the presence of a specific place for handwashing, soap and water, access to improved sanitation, and access to improved water sources were tested for association with handwashing behaviour in logistic regression. Results Almost 98% of households had a specific place for handwashing, and 85% had cleansing materials and water at such a place. The prevalence of handwashing in the sample was almost 85%. Educational level, ethnicity of the household head, and household wealth were factors associated with handwashing practice (p<0.05). Those having access to an improved sanitation facility were more likely to practise handwashing [odds ratio (OR)=1.69, 95% confidence interval (CI): 1.37–2.09, p<0.001], as were those with access to improved water sources (OR=1.74, 95% CI: 1.37–2.21, p<0.001). Conclusions Households with low education, low wealth, belonging to ethnic minorities, and with low access to improved sanitation facilities and water sources should be targeted for interventions implementing handwashing practice. In addition, the availability of soap and water at handwashing sites should be increased and practical teaching programs should be deployed in order to increase handwashing rates.
Machine learning models identify molecules active against the Ebola virus in vitro

The search for small molecule inhibitors of Ebola virus (EBOV) has led to several high throughput screens over the past 3 years. These have identified a range of FDA-approved active pharmaceutical ingredients (APIs) with anti-EBOV activity in vitro and several of which are also active in a mouse infection model. There are millions of additional commercially-available molecules that could be screened for potential activities as anti-EBOV compounds. One way to prioritize compounds for testing is to generate computational models based on the high throughput screening data and then virtually screen compound libraries. In the current study, we have generated Bayesian machine learning models with viral pseudotype entry assay and the EBOV replication assay data. We have validated the models internally and externally. We have also used these models to computationally score the MicroSource library of drugs to select those likely to be potential inhibitors. Three of the highest scoring molecules that were not in the model training sets, quinacrine, pyronaridine and tilorone, were tested in vitro and had EC 50 values of 350, 420 and 230 nM, respectively. Pyronaridine is a component of a combination therapy for malaria that was recently approved by the European Medicines Agency, which may make it more readily accessible for clinical testing. Like other known antimalarial drugs active against EBOV, it shares the 4-aminoquinoline scaffold. Tilorone, is an investigational antiviral agent that has shown a broad array of biological activities including cell growth inhibition in cancer cells, antifibrotic properties, α7 nicotinic receptor agonist activity, radioprotective activity and activation of hypoxia inducible factor-1. Quinacrine is an antimalarial but also has use as an anthelmintic. Our results suggest data sets with less than 1,000 molecules can produce validated machine learning models that can in turn be utilized to identify novel EBOV inhibitors in vitro.
Structural Similarity Metrics for Quality Image Fusion Assessment: Algorithms

The wide use of image fusion techniques in diﬀerent ﬁelds such as medical diagnostics, digital camera vision, military and surveillance applications, among others, has motivated the development of various image quality fusion metrics, in order to evaluate them. In this paper, we study and implement the algorithms of non-reference image structural similarity based metrics for fusion assessment: Piella’s metric, Cvejic’s metric, Yang’s metric, and Codispersion Fusion Quality metric. We conduct the comparative experiment of the selected image fusion metrics over four multiresolution image fusion algorithms, performed on diﬀerent pairs of images used in diﬀerent applications.
Contrasting Effects of Short-Term Mediterranean and Vegan Diets on Microvascular Function and Cholesterol in Younger Adults: A Comparative Pilot Study

The Mediterranean diet has been shown to improve cardiovascular health. Vegan diets have demonstrated similar benefits, albeit in fewer studies. In a comparative pilot study, we compared the effects of a short-term Mediterranean Diet (MD) and Vegan Diet (VD) on microvascular function and cholesterol levels in a healthy population. Twenty-four young (aged 18 to 35 years) healthy volunteers followed a four-week intervention (MD = 12; VD = 12) ad libitum. Pre and post-intervention anthropometrics, microvascular function (assessed via LDF and expressed as raw CVC and %CVC MAX), dietary-analysis data (Calories, Protein, Carbohydrates, Total Fat, Saturated Fat, Fibre), Mean Arterial Pressure (MAP), Blood Pressure, Total Cholesterol (TC), High Density Lipoprotein (HDL-C) and TC:HDL-C were compared. MD participants reduced Total Fat intake (p = 0.05). Saturated Fat decreased (MD: p = < 0.001; VD: p = 0.004) and Fibre increased (MD: p = 0.02; VD: p = < 0.001) in both groups. Dietary changes reflected improvements in plateau raw CVC in the MD group (p = 0.005), and a reduction in TC (p = 0.045) and weight loss (p = 0.047) in the VD group. The MD led to improvements in microvascular function; the VD led to reduced TC and weight loss. Although both diets might offer CVD risk-reduction benefits, evidence for the MD appeared to be stronger due to changes in vasodilatory ability and NO bioavailability.
Structural adjustment, state capacity and child health: evidence from IMF programmes.

Background Consensus is growing that policy reform programmes by the International Monetary Fund (IMF)-an international organization mandated with upholding global financial stability and assisting countries in economic turmoil-produce adverse effects on public health. However, this consensus is unclear about which policies of these programmes underlie these effects. This article fills parts of this gap by examining the impact of four kinds of IMF policies (fiscal policy, public-sector employment, privatization of state-owned enterprises and price liberalization) on public-health expenditure, child vaccination and child mortality. Methods We conducted time-series cross-section analyses for up to 128 developing countries over the 1980-2014 period using observational data on health outcomes and IMF conditionality for different policy areas. IMF effectiveness research faces two types of potential biases: self-selection into IMF programmes and IMF policy conditions. We deployed instrumental variables in a seemingly unrelated regression framework to address both types of endogeneity, besides traditional remedies such as the use of fixed effects on countries and years. Results IMF policy conditions on public-sector employment are negatively related to child health. A change from the minimum to the maximum number of such policy conditions decreases vaccination (which ranges from 0 to 100) by 10.97% [95% confidence interval (CI): 1.16 to 20.79]. This effect is robust against different sets of control variables. In addition, IMF programmes increase the share of government expenditure devoted to public health in developing countries by 0.91 percentage points (95% CI: 0.15 to 1.68). Conclusions These findings suggest that IMF policies-particularly those that require public-sector reforms-undermine health by weakening the capacity of states to deliver vaccination. Therefore, international financial institutions need to increase their awareness of the public-health impact of their policy prescriptions. Strengthening state capacity in times of economic crisis would ensure that increased health spending also delivers quality healthcare.
A comparative study of approaches to compute the field distribution of deep brain stimulation in the Hemiparkinson rat model

Computational modeling of the stimulating field distribution during Deep Brain Stimulation provides an opportunity to advance our knowledge of this neurosurgical therapy for Parkinson's disease. There exist several approaches to model the target region for Deep Brain Stimulation in Hemi-parkinson Rats with volume conductor models. We have described and compared the normalized mapping approach as well as the modeling with three-dimensional structures, which include curvilinear coordinates to assure an anatomically realistic conductivity tensor orientation.
Cell Phone and Computer Use Among Parents Visiting an Urban Pediatric Emergency Department

Objectives The objectives of this study were to estimate the prevalence of cell phone and computer use among urban families bringing their children to an emergency department and to determine which technologies parents prefer to use to receive health information. Methods We visited 2 pediatric emergency departments in Baltimore, Md, and Little Rock, Ark. A convenience sample of parents of children 8 years old or younger completed a self-administered survey in the waiting area. Results Two hundred thirty-eight surveys were completed. Respondents were primarily female (83%), less than 35 years old (74%), and had at least a high school diploma or General Educational Development (94%). Forty-three percent were employed full time. A majority (95%) of respondents reported owning a cell phone, with most (88%) owning a smartphone and 96% reported having some internet access. Of cell phone owners, 91% reported daily text messaging activity. Over half (63%) of respondents reported having computer internet access at home; 31% reported having internet access at work. Patterns of behavior and preferences emerged for both cell phone and computer use. Respondents were more likely to check their email (75% vs 50%, P < 0.0001) and access the internet (78% vs 67%, P = 0.002) with a smartphone rather than their computer. Conclusions Both cell phones and computers are prevalent and used among urban families seen in pediatric emergency departments, offering new ways to deliver health information to these often underserved populations. Providers aiming to deliver health information should consider smartphone applications, text message–based programs, and email to communicate with their patients.
Asymmetric dimethylarginine targets MAPK pathway to regulate insulin resistance in liver by activating inflammation factors

Insulin resistance is associated with impaired glucose uptake and altered protein kinase B (Akt) signaling. Previous studies have suggested asymmetric dimethylarginine (ADMA) and inflammation are two distinguish factors that correlate with insulin resistance (IR). How ADMA and inflammation factors interact and synchronize in the regulation of IR in liver remain to be elucidated. In this study, we systematically investigated whether ADMA is involved in IR using primary hepatocytes, if yes, by via which molecular mechanism. Our results demonstrated that ADMA inhibits insulin sensitivity in a concentration‐dependent manner by activating inflammation factors tumor necrosis factor (TNF)‐α, interleukin (IL)‐1, and IL‐6 in primary hepatocytes. Further analysis revealed that mitogen‐activated protein kinase (MAPK) signaling pathway act downstream of ADMA and inflammation factors, and inhibition of MAPK pathway rescued the IR. Furthermore, metformin effects has been found which could reverse ADMA‐induced IR by suppressing MAPK signaling pathway. To our knowledge, we, for the first time, unveiled the complicated regulatory network and interactions among ADMA, inflammation, and MAPK signaling pathway, which advanced current research on the development and regulation of IR in liver. This study also certainly provided novel insights on comprehensive diagonistics roles of ADMA as a potential biomarker.
THE ROLE OF TEACHER EDUCATION IN THE SUSTAINABILITY OF STEM

All human developmental requirements, including socio-economic transformation demands, depend on the effectiveness of its education system. This research seeks to find out the role teacher education (TE) can play as mass intellectual output in promoting the sustainability of technology, engineering and mathematics (STEM) as a necessity for socio-economic transformation. There is a need to examine possible suggestions on how to improve TE curriculum to focus on STEM for socio-economic transformation dynamics literacy and cognition. Literature reviewed showed that TE and teacher expertise are one of the most crucial basics for cultivating STEM appreciation culture. The results of this research revealed that current TE has been criticised for not producing innovative, competent teachers with skilful thinking relevant to motivate students to be agents and active participants of STEM subjects. Data analysis indicated that TE faces challenges in making an impetus to contemporary STEM needs because TE remains traditional, focusing on teaching ‘course content’ instead of higher order–activities like critical thinking, creative thinking and problem solving. Literature reviewing and data analysis took a qualitative paradigm. The ‘analytical model of constant comparison’ was mainly used in gathering and analysing data. The major conclusion to this research was: if teacher education institutions produce effective teachers, these teachers will be in a position to use innovative pedagogies and reflective approaches to enhance critical thinking and cultivate a science culture in schools which is essential to the promotion of STEM. The research recommended a consideration of introducing sciences for all from tender learning levels compared to sciences for only gifted students, review of TE entry qualification requirements, change of TE curriculum to be inclined toward STEM orientation. Article visualizations:
The Korean Social Life, Health and Aging Project-Health Examination Cohort

The Korean Social Life, Health, and Aging Project (KSHAP) is a population-based longitudinal study of health determinants among elderly Koreans. The target population of the KSHAP are people aged 60 years or older and their spouses living in a rural community of Korea. A complete enumeration survey was conducted in the first wave of the KSHAP on 94.7% (814 of 860) of the target population between December 2011 and July 2012. The KSHAP-Health Examination (KSHAP-HE) cohort consists of 698 people who completed additional health examinations at a public health center (n=533) or at their home (n=165). Face-to-face questionnaires were used to interview participants on their demographics, social network characteristics, medical history, health behaviors, cognitive function, and depression symptoms. Health center examinations included anthropometric measures, body impedance analysis, resting blood pressure measurement, radial artery tonometry, bone densitometry, the timed up-and-go test, and fasting blood analysis. However, only anthropometric measures, blood pressure measurement, and non-fasting blood analysis were available for home health examinations. Collaboration is encouraged and access to the KSHAP baseline data will be available via the website of the Korean Social Science Data Archive (http://www.kossda.or.kr).
Association between CD40 rs1883832 and immune-related diseases susceptibility: A meta-analysis

Background/objective It has been reported that CD40 rs1883832 might be associated with immune-related diseases susceptibility. Owing to mixed and inconclusive results, we conducted a meta-analysis of case–control studies to summarize and clarify this association. Methods/main results A systematic search of studies on the association between CD40 rs1883832 and immune-related diseases susceptibility was conducted in databases. Odds ratios and 95% confidence intervals were used to pool the effect size. 40 articles were included in our meta-analysis. Conclusions CD40 rs1883832 is associated with decreased risk of Graves’ disease, especially in Asian; CD40 rs1883832 is associated with increased risk of multiple sclerosis; CD40 -1C>T (rs1883832) is not associated with the susceptibility of Hashimoto's thyroiditis, systemic sclerosis or Asthma; there is insufficient data to fully confirm the association between CD40 rs1883832 and systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), Behçet's disease (BD), myasthenia gravis (MG), Crohn's disease (CD), ulcerative colitis (UC), Sarcoidosis, Fuch uveitis syndrome (FUS), Vogt-Koyanagi-Harada syndrome (VKH), Kawasaki disease (KD), giant cell arteritis (GCA) or Immune thrombocytopenia (ITP).
Agentic appeals increase charitable giving in an affluent sample of donors

Recent research suggests that affluent individuals adopt agentic self-concepts, striving to stand out from others and to master the environment on their own. The present study provides a road test of this idea, showing that this theorizing can be utilized to increase charitable giving among the affluent, when individuals do not realize that their behavior is being studied. In a naturalistic field experiment conducted as part of an annual fundraising campaign (N = 12,316), we randomly assigned individuals from an affluent sample to view messages focused on agency (vs. communion). Messages that focused on personal agency (vs. communion) increased the total amount of money that individuals in the sample donated by approximately 82%. These findings provide evidence for a simple, theoretically-grounded method of encouraging donations among those with the greatest capacity to give.