Miracle-dz/UniFAR-FTUs huggingface dataset:
Rapid Diagnostic Tests for Malaria Parasites

SUMMARY Malaria presents a diagnostic challenge to laboratories in most countries. Endemic malaria, population movements, and travelers all contribute to presenting the laboratory with diagnostic problems for which it may have little expertise available. Drug resistance and genetic variation has altered many accepted morphological appearances of malaria species, and new technology has given an opportunity to review available procedures. Concurrently the World Health Organization has opened a dialogue with scientists, clinicians, and manufacturers on the realistic possibilities for developing accurate, sensitive, and cost-effective rapid diagnostic tests for malaria, capable of detecting 100 parasites/μl from all species and with a semiquantitative measurement for monitoring successful drug treatment. New technology has to be compared with an accepted Rgold standardS that makes comparisons of sensitivity and specificity between different methods. The majority of malaria is found in countries where cost-effectiveness is an important factor and ease of performance and training is a major consideration. Most new technology for malaria diagnosis incorporates immunochromatographic capture procedures, with conjugated monoclonal antibodies providing the indicator of infection. Preferred targeted antigens are those which are abundant in all asexual and sexual stages of the parasite and are currently centered on detection of HRP-2 from Plasmodium falciparum and parasite-specific lactate dehydrogenase or Plasmodium aldolase from the parasite glycolytic pathway found in all species. Clinical studies allow effective comparisons between different formats, and the reality of nonmicroscopic diagnoses of malaria is considered.
Changing patterns of social inequalities in anaemia among women in India: cross-sectional study using nationally representative data

Objectives To examine the patterns of social inequalities in anaemia over time among women of reproductive age in India. Design Repeated cross-sectional study using nationally representative data from the 1998/1999 and 2005/2006 National Family Health Surveys of India. Multivariate modified Poisson regression models were used to assess trends and social inequalities in anaemia. Setting India. Population 164 600 ever-married women aged 15–49 years (n=79 197 in 1998/1999 and n=85 403 in 2005/2006) from 25 Indian states. Main outcome measure Anaemia status defined by haemoglobin level (<12 g/dl in non-pregnant women, haemoglobin<11 g/dl for pregnant women). Results Over the 7-year period, anaemia prevalence increased significantly from 51.3% (95% CI 50.6% to 52%) to 56.1% (95% CI 55.4% to 56.8%) among Indian women. This corresponded to a 1.11-fold increase in anaemia prevalence (95% CI 1.09 to 1.13) after adjustment for age and parity, and 1.08-fold increase (95% CI 1.06 to 1.10) after further adjustment for wealth, education and caste. There was marked state variation in anaemia prevalence; in only 4 of the 25 states did anaemia prevalence significantly decline. In both periods, anaemia was socially patterned, being positively associated with lower wealth status, lower education and belonging to scheduled tribes and scheduled castes. In this context of overall increasing anaemia prevalence, adjusted relative and absolute socioeconomic inequalities in anaemia by wealth, education and caste have narrowed significantly over time. Conclusions The significant increase in anaemia among India's women during this recent period is a matter of concern, and in contrast to secular improvements in other markers of women's health and nutritional status. While socioeconomic inequalities in anaemia persist, the relative and absolute inequalities in anaemia have decreased over time. Future research should explore the causes for these changing patterns, and inform the policy and programmatic response to address anaemia and its inequalities in this vulnerable population.
Accounting for the effects of lipids in stable isotope (dC and dN values) analysis of skin and blubber of balaenopterid whales

Conor Ryan*, Brendan McHugh, Clive N. Trueman, Chris Harrod, Simon D. Berrow and Ian O’Connor Marine and Freshwater Research Centre, Department of Life Science, Galway-Mayo Institute of Technology Galway, Dublin Road, Galway, Ireland Irish Whale and Dolphin Group, Merchant’s Quay, Kilrush, Co. Clare, Ireland Marine Institute, Rinville, Oranmore, Co. Galway, Ireland Ocean and Earth Science, University of Southampton, National Oceanography Centre, EuropeanWay, Southampton SO14 3ZH, UK Queen’s University Belfast, School of Biological Sciences, Medical Biology Centre, 97 Lisburn Road, Belfast BT9 7BL, UK Instituto de Investigaciones Oceanológicas, Universidad de Antofagasta, Avenida Angamos 601, Antofagasta, Chile
Goal framing of health related behaviors: What factors contribute to the persuasiveness of a message?

Goal Framing of Health Related Behaviors: What Factors Contribute to the Persuasiveness of a Message? Sarah A. Stoner There is evidence that the manner in which relevant information is framed can influence decisions that are based on that information. That is, information may be presented in a positive frame (i.e., describing benefits gained from engaging in behaviors) or in a negative frame (i.e., describing losses from not engaging in behaviors). The effect of information frame on older adults’ decision to comply or not comply with health behavior recommendations is unclear due to a paucity of research. In an attempt to understand factors that influence older adult healthy behavior decision making, the current study examined variables that might predict whether positively or negatively framed information elicits greater compliance with health recommendations. Positively and negatively framed messages promoting skin cancer prevention and detection were distributed to older and younger adults. Participants rated their intentions to engage in prevention and detection behaviors. Intentions to engage in prevention behaviors was related to lower numeracy ability. Additionally, intentions to engage in prevention behaviors were stronger among older adults than younger adults. No significant difference was found across numeracy ability or age groups in intentions to engage in detection behaviors. Additionally, there were not significant differences in intentions to engage in prevention or detection behaviors when the efficacy level of these behaviors varied. History of engaging in prevention behaviors was related to intentions to engage in future prevention behaviors in the positive frame condition and in the negative frame condition. In conclusion, older adults reacted similarly to younger adults following exposure to framed messages, and endorsed stronger intentions than the younger adults to engage in prevention behaviors regardless of message frame. Additionally, positively-framed prevention messages were more persuasive than negatively-framed messages among people with a history of engaging in prevention behaviors. Recommendations for future research include examining variables associated with increased compliance among individuals with a weaker history of engaging in the recommended behaviors should be explored in future studies.
Sparsity-Regularized HMAX for Visual Recognition

About ten years ago, HMAX was proposed as a simple and biologically feasible model for object recognition, based on how the visual cortex processes information. However, the model does not encompass sparse firing, which is a hallmark of neurons at all stages of the visual pathway. The current paper presents an improved model, called sparse HMAX, which integrates sparse firing. This model is able to learn higher-level features of objects on unlabeled training images. Unlike most other deep learning models that explicitly address global structure of images in every layer, sparse HMAX addresses local to global structure gradually along the hierarchy by applying patch-based learning to the output of the previous layer. As a consequence, the learning method can be standard sparse coding (SSC) or independent component analysis (ICA), two techniques deeply rooted in neuroscience. What makes SSC and ICA applicable at higher levels is the introduction of linear higher-order statistical regularities by max pooling. After training, high-level units display sparse, invariant selectivity for particular individuals or for image categories like those observed in human inferior temporal cortex (ITC) and medial temporal lobe (MTL). Finally, on an image classification benchmark, sparse HMAX outperforms the original HMAX by a large margin, suggesting its great potential for computer vision.
Location-based Publish/Subscribe

This paper introduces the concept of location-based publish/subscribe (LPS), which allows mobile ad hoc applications to anonymously communicate with each other, depending on their locations. With this concept, publish/subscribe topics are typically expressed in a dynamic manner including proximity criteria, e.g., "I subscribe to all events on topic T published within some range R". We advocate that location-based publish/subscribe is a key programming paradigm for building mobile ad hoc application, and sketch our current implementation, which is based on standard APIs of the Java 2 platform, Micro Edition
Inside Information and the Own Company Stock Puzzle

U.S. investors allocate 30-40% of their financial asset portfolio in the stock of the company they work for. Such a portfolio flies in the face of standard portfolio theory, which prescribes that an investor should hold less of a financial asset that is positively correlated with her undiversified labor income.Nevertheless, we propose a rational explanation that prescribes a long position in own company stock. Precisely because the own company stock is positively correlated with the investor's labor income, any information the investor learns about her earnings is a partial information advantage in her own company stock. When confronted with a choice of what information to acquire, employees may choose to learn about their own firm. Learning lowers the employee's risk of holding own-firm equity, which raises its risk-adjusted returns and makes a long position optimal. (JEL: F30, G11, D82) (c) 2006 by the European Economic Association.
Spectroscopic Changes Associated with Mild Cognitive Impairment and Dementia in Parkinson’s Disease

Frontal subcortical cognitive defects are predominant in Parkinson’s disease (PD). Temporal lobe dysfunction seems more relevant for progression to dementia. We aimed to study the relative importance of temporal lobe defects versus executive impairment in the progression to dementia in PD by using proton magnetic resonance spectroscopy (1H-MRS). The 1H-MRS features of PD patients with intact cognition (PD-CgInt; n = 16), mild cognitive impairment (MCI; n = 15) and dementia (PDD; n = 15) were compared, to delineate the metabolic alterations correlating with cognitive status. Metabolite concentrations were acquired from voxels localized to the hippocampus and dorsolateral prefrontal cortex (DL-PFC). Cognitive status was established following the Movement Disorder Society PDD criteria, administering the Clinical Dementia Rating Scale and Mattis Dementia Rating Scale. The Parkinson’s Disease Cognitive Rating Scale (PD-CRS) was used to correlate 1H-MRS with neuropsychology. N-acetylaspartate (NAA) concentrations in the right DL-PFC were decreased in PD-MCI compared with PD-CgInt patients (p = 0.002), and correlated with frontal subcortical tasks. Decreased NAA concentrations in the left hippocampus in PDD compared to PD-MCI (p = 0.03) correlated with confrontation naming. The present findings support that executive impairment is related to dorsolateral prefrontal dysfunction from the early stages, while progression to dementia is linked to the additional impairment of temporal lobe structures. The PD-CRS was able to capture the differential impairment of prefrontal versus temporal cortical areas.
Enhancing application performance with network awareness in Tactical Networks

This paper presents Telcordia's Network Awareness Service (NAS), a suite of network sensing technologies that allows applications to adapt to medium-to-long time scale performance variations in mobile tactical wireless networks. NAS is a working software prototype developed for the purpose of measuring, estimating, and inferring network metrics that impact application performance such as congestion level, packet transmission loss rate, and available path capacity. The prototype operates in a distributed manner, publishing its metrics to tactical network applications operating on protected (so-called “red-side”) computing systems, and is compatible with communication security (COMSEC) considerations that prohibit direct monitoring of network elements on the encrypted side (so-called “black-side”) of tactical radio networks. Each NAS instance performs the following key high-level functions: (1) Collection/measurement of raw packet performance data, (2) inference of network performance metrics and (3) reporting of network performance to other NAS instances and tactical applications. NAS has been successfully integrated and demonstrated as part of the U.S. Office of Naval Research Limited Technology Experiment (LTE) at SSC-Charleston in the summer of 2010. Experimental results reported here for NAS provide proof-of-concept validation of its ability to afford timely, accurate network awareness for tactical applications, and illustrate the benefits of network awareness to command and control applications in Naval settings.
A Therapeutic Her2/neu Vaccine Targeting Dendritic Cells Preferentially Inhibits the Growth of Low Her2/neu–Expressing Tumor in HLA-A2 Transgenic Mice

Purpose: E75, a peptide derived from the Her2/neu protein, is the most clinically advanced vaccine approach against breast cancer. In this study, we aimed to optimize the E75 vaccine using a delivery vector targeting dendritic cells, the B-subunit of Shiga toxin (STxB), and to assess the role of various parameters (Her2/neu expression, combination with trastuzumab) in the efficacy of this cancer vaccine in a relevant preclinical model. Experimental Design: We compared the differential ability of the free E75 peptide or the STxB-E75 vaccine to elicit CD8+ T cells, and the impact of the vaccine on murine HLA-A2 tumors expressing low or high levels of Her2/neu. Results: STxB-E75 synergized with granulocyte macrophage colony-stimulating factors and CpG and proved to be more efficient than the free E75 peptide in the induction of multifunctional and high-avidity E75-specific anti-CD8+ T cells resulting in a potent tumor protection in HLA-A2 transgenic mice. High expression of HER2/neu inhibited the expression of HLA-class I molecules, leading to a poor recognition of human or murine tumors by E75-specific cytotoxic CD8+ T cells. In line with these results, STxB-E75 preferentially inhibited the growth of HLA-A2 tumors expressing low levels of Her2/neu. Coadministration of anti-Her2/neu mAb potentiated this effect. Conclusions: STxB-E75 vaccine is a potent candidate to be tested in patients with low Her2/neu–expressing tumors. It could also be indicated in patients expressing high levels of Her2/neu and low intratumoral T-cell infiltration to boost the recruitment of T cells—a key parameter in the efficacy of anti-Her2/neu mAb therapy. Clin Cancer Res; 22(16); 4133–44. ©2016 AACR.
New Trends for the Nonlinear Measurement and Modeling of High-Power RF Transistors and Amplifiers With Memory Effects

Power amplifier (PA) behavior is inextricably linked to the characteristics of the transistors underlying the PA design. All transistors exhibit some degree of memory effects, which must therefore be taken into account in the modeling and design of these PAs. In this paper, we will present new trends for the characterization, device modeling, and behavioral modeling of power transistors and amplifiers with strong memory effects. First the impact of thermal and electrical memory effects upon the performance of a transistor will be revealed by comparing continuous wave and pulsed RF large-signal measurements. Pulsed-RF load-pull from the proper hot bias condition yields a more realistic representation of the peak power response of transistors excited with modulated signals with high peak-to-average power ratio. Next, an advanced device modeling method based on large-signal data from a modern nonlinear vector network analyzer instrument, coupled with modeling approaches based on advanced artificial neural network technology, will be presented. This approach enables the generation of accurate and robust time-domain nonlinear simulation models of modern transistors that exhibit significant memory effects. Finally an extension of the X-parameter (X-parameter is a trademark of Agilent Technologies Inc.) behavioral model to account for model memory effects of RF and microwave components will be presented. The approach can be used to model hard nonlinear behavior and long-term memory effects and is valid for all possible modulation formats for all possible peak-to-average ratios and for a wide range of modulation bandwidths. Both the device and behavioral models have been validated by measurements and are implemented in a commercial nonlinear circuit simulator.
Open Access Research Article Associations between Body Mass Index, Weight Control Concerns and Behaviors, and Eating Disorder Symptoms among Non-clinical Chinese Adolescents

article distributed under the terms of the Creative Commons At-tribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Previous research with adolescents has shown associations of body weight, weight control concerns and behaviors with eating disorder symptoms, but it is unclear whether these associations are direct or whether a mediating effect exists. This study was conducted to investigate the prevalence of overweight and obesity, weight control concerns and behaviors, and eating disorder symptoms and to examine the mediating function of weight control concerns and behaviors on the relationship between body mass index (BMI) and eating disorder symptoms among non-clinical adolescents in China. Methods: A cross-sectional survey among 2019 adolescent girls and 1525 adolescent boys in the 7th, 8th, 10th and 11th grades from seven cities in China was conducted. Information on weight control concerns and behaviors, and eating disorder symptoms (Eating Disorder Inventory-3) were collected from the adolescents using a self-administrated questionnaire. Results: Weight control concerns and behaviors, and eating disorder symptoms were prevalent among the study population. A high proportion of adolescents scored at or above the threshold on the eating disorder inventory (EDI) subscale such as bulimia, interoceptive deficits, perfectionism, and maturity fears, which indicated eating disorder symptoms. High BMI was significantly associated with high score of drive for thinness, body dissatisfaction, bulimia, low self-esteem, interceptive deficits and maturity fears, so do perceived body weight status. Almost all weight control concerns and behaviors we investigated were significantly associated with high EDI subscale scores. When weight control concerns were added to the model, as shown in the model, the association between BMI and tendency of drive to thinness and bulimia was attenuated but still kept significant. The association between BMI and body dissatisfaction were no further significant. The association of BMI and drive for thinness, body dissatisfaction and bulimia was considerably weaker than when weight control behaviors were not included. Conclusions: Weight control concerns and behaviors may be mediators of the association between BMI and eating disorder symptoms. Interpretation of these weight control problems is crucial to develop culturally appropriate educational and intervention programs for adolescents. Background Eating disorders, such as anorexia, bulimia, and binge eating disorder, are associated with extreme emotions, attitudes, and behaviors, as well as physical problems that can have life-threatening consequences. These consequences are affecting adolescents with increasing frequency. Adolescent obesity is …
Angiotensin II during Experimentally Simulated Central Hypovolemia

Central hypovolemia, defined as diminished blood volume in the heart and pulmonary vascular bed, is still an unresolved problem from a therapeutic point of view. The development of pharmaceutical agents targeted at specific angiotensin II receptors, such as the non-peptidergic AT2-receptor agonist compound 21, is yielding many opportunities to uncover more knowledge about angiotensin II receptor profiles and possible therapeutic use. Cardiovascular, anti-inflammatory, and neuroprotective therapeutic use of compound 21 have been suggested. However, there has not yet been a focus on the use of these agents in a hypovolemic setting. We argue that the latest debates on the effect of angiotensin II during hypovolemia might guide for future studies, investigating the effect of such agents during experimentally simulated central hypovolemia. The purpose of this review is to examine the role of angiotensin II during episodes of central hypovolemia. To examine this, we reviewed results from studies with three experimental models of simulated hypovolemia: head up tilt table test, lower body negative pressure, and hemorrhage of animals. A systemic literature search was made with the use of PubMed/MEDLINE for studies that measured variables of the renin–angiotensin system or its effect during simulated hypovolemia. Twelve articles, using one of the three models, were included and showed a possible organ-protective effect and an effect on the sympathetic system of angiotensin II during hypovolemia. The results support the possible organ-protective vasodilatory role for the AT2-receptor during hypovolemia on both the kidney and the splanchnic tissue.
Risk Assessment of Arsenic Mitigation Options in Bangladesh

The provision of alternative water sources is the principal arsenic mitigation strategy in Bangladesh, but can lead to risk substitution. A study of arsenic mitigation options was undertaken to assess water quality and sanitary condition and to estimate the burden of disease associated with each technology in disability-adjusted life years (DALYs). Dugwells and pond-sand filters showed heavy microbial contamination in both dry and monsoon seasons, and the estimated burden of disease was high. Rainwater was of good quality in the monsoon but deteriorated in the dry season. Deep tubewells showed microbial contamination in the monsoon but not in the dry season and was the only technology to approach the World Health Organization's reference level of risk of 10-6 DALYs. A few dugwells and one pond-sand filter showed arsenic in excess of 50 μg/L. The findings suggest that deep tubewells and rainwater harvesting provide safer water than dugwells and pond-sand filters and should be the preferred options.