Miracle-dz/UniFAR-FTUs huggingface dataset:
Determining social media impact on the politics of developing countries using social network analytics

Purpose The purpose of this paper is to use the Twitter Search Network of the Apache NodeXL data discovery tool to extract over 5,000 data from Twitter accounts that twitted, re-twitted or commented on the hashtag, #NigeriaDecides, to gain insight into the impact of the social media on the politics and administration of developing countries. Design/methodology/approach Several algorithms like the Fruchterman-Reingold algorithm, Harel-Koren Fast Multiscale algorithm and the Clauset-Newman-Moore algorithms are used to analyse the social media metrics like betweenness, closeness centralities, etc., and visualize the sociograms. Findings Results from a typical application of this tool, on the Nigeria general election of 2015, show the social media as the major influencer and the contribution of the social media data analytics in predicting trends that may influence developing economies. Practical implications With this type of work, stakeholders can make informed decisions based on predictions that can yield high degree of accuracy as this case. It is also important to stress that this work can be reproduced for any other part of the world, as it is not limited to developing countries or Nigeria in particular or it is limited to the field of politics. Social implications Increasingly, during the 2015 general election, citizens have taken over the blogosphere by writing, commenting and reporting about different issues from politics, society, human rights, disasters, contestants, attacks and other community-related issues. One of such instances is the #NigeriaDecides network on Twitter. The effect of these showed in the opinion polls organized by the various interest groups and media houses which were all in favour of GMB. Originality/value The case study the authors took on the Nigeria’s general election of 2015 further strengthens the fact that the developing countries have joined the social media race. The major contributions of this work are that policy makers, politicians, business managers, etc. can use the methods shown in this work to harness and gain insights from Big Data, like the social media data.
The Role of Labor and Marriage Markets, Preference Heterogeneity, and the Welfare System in the Life Cycle Decisions of Black, Hispanic, and White Women

Using data from the NLSY79, we structurally estimate a dynamic model of the life cycle decisions of young women. The women make joint and sequential decisions about school attendance, work, marriage, fertility and welfare participation. We use the model to perform a set of counterfactual simulations designed to shed light on three questions: (1) How much of observed minority-majority differences in behavior can be attributed to differences in labor market opportunities, marriage market opportunities, and preference heterogeneity? (2) How does the welfare system interact with these factors to augment those differences? (3) How can new cohorts that grow up under the new welfare system (TANF) be expected to behave compared to older cohorts?
Dietary Supplementation with Calcium in Healthy Rats Administered with Artemisinin -based Combination Therapy and Risk of Cardiovascular Disease

Reports on the role of calcium on predisposition to cardiovascular disease have been rather inconsistent while studies on its interaction with other medications are ongoing. We therefore investigated the effect of separate and combine administration of calcium supplement with artemisinin-based combination drug on hepatic and serum lipid profile. Thirty two male wistar rats were randomly assigned into four groups of eight rats each. The control (group A) received normal saline. Group B and D were placed on 10mg/Kg calcium twice daily for four weeks. On the thirtieth day, therapeutic dose of artemisinin-based combination was simultaneously administered to group C and group D twice daily for three days. All the rats were then sacrificed after 12 hours fasting, blood was withdrawn and the liver removed and homogenized in an appropriate buffer. Biochemical analysis showed no significant (p> 0.05) variation in hepatic triaacylglycerol in all the treated groups whereas calcium supplementation was observed to induce a significant (p< 0.05) reduction in hepatic cholesterol. Significant elevations due to calcium supplementation were also observed in serum total cholesterol, LDL cholesterol level and atherogenic risk index with a concomitant reduction in serum HDL cholesterol. No significant change was observed in serum total cholesterol, triacylglycerol and serum lipoproteins in all other treatment groups. Our study suggests that calcium supplementation may predispose to cardiovascular disease and that its co administration with ACT may not aggravate nor reduced the predisposition risk.
Fiber Stipples for Crossing Tracts in Probabilistic Tractography

Given diffusion weighted magnetic resonance (dMRI) data, tractography methods may reconstruct estimations of neural connections of the human brain, so called tractograms. Probabilistic tractography algorithms generate a scalar value for each point of the brain, which describes the confidence of an existing structural connection to a predefined seed region. Recently presented Fiber-Stippling is a promising tool to effectively visualize such scalar values on axis aligned cutting planes. However, Fiber-Stippling only works with principal diffusion directions and cannot handle complex tract configurations, such as overlapping or crossing tracts, which are very important to neuroscience. In this work we present an illustrative technique for probabilistic tracts in such configurations, which is based on Fiber-Stippling. Our technique supports multiple diffusion directions as given by high angular resolution diffusion images (HARDI) and hence can visualize crossing tracts, while preserving all of the advantages of Fiber-Stippling. We solve this by visually supporting the stipples, while not altering the original visualization metaphor. Our work is an important contribution to adequate visualization of neuroanatomy, as crossing tracts are a frequent phenomen inside of the human brain. Moreover, our technique may be customized to crossing line fields in general.
Age as a prognostic factor in ovarian carcinoma: The gynecologic oncology group experience

Background. The Gynecologic Oncology Group (GOG) has completed six major randomized trials in advanced ovarian carcinoma over the 15‐year period between 1976 and 1990. This large database of 2123 patients provides a well‐studied patient population with which to examine the importance of age as a prognostic factor.
Mapping a dominant form of multinodular goiter to chromosome Xp22.

Multinodular goiter (MNG) is a common disorder characterized by a nodular enlargement of the thyroid gland and occurring with a female&rcolon;male ratio of 5&rcolon;1. This article reports the analysis of an Italian three-generation pedigree MNG, including 10 affected females and 2 affected males. After linkage to candidate regions previously implicated in various forms of goiter was excluded, a novel MNG locus was searched. Because no male-to-male transmission was present in the study pedigree, an X-linked autosomal dominant pattern of inheritance was hypothesized. Therefore, 18 markers spaced at 10-cM intervals on the X chromosome were examined. A significant LOD score was observed in the Xp22 region, where marker DXS1226 generated a maximum LOD score of 4.73 at a recombination fraction of 0. Analysis of six flanking microsatellites confirmed these data, and haplotype inspection delimited a 9.6-cM interval lying between DXS1052 and DXS8039.
Epstein-Barr Virus-Encoded RK-BARF 0 Protein Expression

The cellular localization of the Epstein-Barr virus-encoded RK-BARF0 protein was analyzed by fluorescence microscopy and immunoblotting. The recombinant RK-BARF0 protein was found to be tightly bound to nuclear structures, whereas 16to 20-kDa RK-BARF0 derivatives, generated by differential splicing of the RK-BARF0 transcript, were present throughout the cell. Moreover, a previously generated anti-RK-BARF0 rabbit serum was found to cross-react with cellular proteins, showing that the previously identified 30to 35-kDa membrane-associated proteins do not represent RK-BARF0.
Smart Communities Internet of Things

Today's cities face many challenges due to population growth, aging population, pedestrian and vehicular traffic congestion, water usage increase, increased electricity demands, crumbling physical infrastructure of buildings, roads, water sewage, power grid, and declining health care services. Moreover, major trends indicate the global urbanization of society, and the associated pressures it brings, will continue to accelerate. One of the approaches to assist in solving some of the challenges is to deploy extensive IT technology. It has been recognized that cyber-technology plays a key role in improving quality of people's lives, strengthening business and helping government agencies serve citizens better. In this white paper, we discuss the benefits and challenges of cyber-technologies within "Smart Cities", especially the IoT (Internet of Things) for smart communities, which means considering the benefits and challenges of IoT cyber-technologies on smart cities physical infrastructures and their human stakeholders. To point out the IoT challenges, we will first present the framework within which IoT lives, and then proceed with the challenges, conclusions and recommendations.
Super Resolution Applications in Modern Digital Image Processing

paper gives the various applications of Super Resolution (SR) in today's time modern digital image processing. It has been seen that SR implementation results are always increasing the performance of digital image processing techniques. Modern digital communication includes many applications which generate the data in the form of images and videos. Along with the other techniques of processing of images and videos, Super resolution of images has also grown. In the world of powerful processors and advanced display systems, SR has shown its existence and an overview of various applications based on super resolution has been given in this paper.
A novel soft-switching full-bridge converter

Inserting an auxiliary switch to the conventional hard-switch full-bridge topology, a novel soft-switching full-bridge converter is proposed. Instead of the main switches, the auxiliary switch is pulse-width modulated to regulate the output voltage and soft-switching operation of the main switches can be easily achieved over full line and load ranges. Consequently, the reduced switching losses can be compensated for the auxiliary switch's losses and its efficiency approximates to that of the phase-shift full-bridge converter. It makes the proposed converter to be an alternative approach for high frequency high efficiency power conversion applications. In addition to the circuit analysis and operation principle, a 100 kHz, 300–400 V input and a 12 V, 300 W output prototype is implemented to demonstrate its feasibility.
Generalized predictive control with harmonic rejection applied to a grid-connected inverter with LCL filter

This paper provides the design of a Model Predictive Controller (MPC) using the Generalized Predictive Control (GPC) algorithm applied to grid-connected inverters with LCL filter. The main objective is to obtain a current controller that ensures reference tracking capacity for sinusoidal references and rejection of specific harmonic disturbances produced by grid voltages. The closed-loop system with the GPC controller is evaluated through time and frequency response analysis.
Exploring Qualitative Displays and Interfaces

Much of how we construct meaning in the real world is qualitative rather than quantitative. We think and act in response to, and in dialogue with, qualities of phenomena, and relationships between them. Yet, quantification has become a default mode for information display, and for interfaces supporting decision-making and behaviour change. There are more opportunities within HCI for qualitative displays and interfaces, for information presentation, and an aid to help people explore their own thinking and relationships with ideas. Here we attempt one dimension of a tentative classification to support projects exploring opportunities for qualitative displays within design.
Unraveling the Contribution of Image Captioning and Neural Machine Translation for Multimodal Machine Translation

Abstract Recent work on multimodal machine translation has attempted to address the problem of producing target language image descriptions based on both the source language description and the corresponding image. However, existing work has not been conclusive on the contribution of visual information. This paper presents an in-depth study of the problem by examining the differences and complementarities of two related but distinct approaches to this task: textonly neural machine translation and image captioning. We analyse the scope for improvement and the effect of different data and settings to build models for these tasks. We also propose ways of combining these two approaches for improved translation quality.
Adenosine Triphosphate–Binding Cassette Subfamily C Member 2 Is the Major Transporter of the Hepatobiliary Imaging Agent 99mTc-Mebrofenin

The organic anion 99mTc-N-[2-[(3-bromo-2,4,6-trimethylphenyl)-amino]-2-oxoethyl]-N-(carboxymethyl)-glycine (99mTc-mebrofenin) and its analogs are widely used for hepatobiliary imaging. Identification of the mechanisms directing bile canalicular transport of these agents will provide insights into the basis of their hepatic handling for assessing perturbations. Methods: We performed studies in animals, including healthy Fischer 344 rats or rats treated with carbon tetrachloride or intrasplenic cell transplantation and healthy Wistar rats or HsdAMC:TR-Abcc2 mutant rats in Wistar background. Onset of hepatic inflammation was verified by analysis of carbon uptake in Kupffer cells. Hepatic clearance of 99mTc-mebrofenin was studied with dynamic imaging, and fractional retention of peak hepatic mebrofenin activity after 60 min was determined. Changes in the expression of bile canalicular transporters were analyzed by real-time polymerase chain reaction and Western blots. Results: Carbon tetrachloride and cell transplantation produced hepatic inflammation with activation of Kupffer cells, resulting in a rapid decline in the expression of the bile canalicular transporters Abcb4, Abcb11, and Abcc2. Among these transporters, decreased expression of Abcc2 was most prominent, and this decline persisted for 4 wk. Next, we examined 99mTc-mebrofenin excretion in HsdAMC:TR-Abcc2 mutant rats (in which Abcc2 expression is naturally inactivated), compared with their healthy counterparts. In healthy HsdRccHan:WIST rats, only 23% ± 3% of the peak 99mTc-mebrofenin activity was retained after 60 min. By contrast, in HsdAMC:TR-Abcc2 mutant rats, 73% ± 5% of the peak 99mTc-mebrofenin activity was retained (P < 0.001). Moreover, the administration of cyclosporin A markedly inhibited 99mTc-mebrofenin excretion in healthy rats, with no further effect on already impaired 99mTc-mebrofenin excretion in HsdAMC:TR-Abcc2 mutant rats. Hepatic excretion of 99mTc-mebrofenin was largely dependent on Abcc2. This molecular basis of 99mTc-mebrofenin excretion will advance studies of pathophysiologic mechanisms in hepatic Abcc2 pathways.
Mutual exchange of kinetic properties by extended mutagenesis in two short LOV domain proteins from Pseudomonas putida.

We previously characterized a LOV protein PpSB2-LOV, present in the common soil bacterium Pseudomonas putida, that exhibits a plant phototropin LOV-like photochemistry [Krauss, U. , Losi, A. , Gartner, W. , Jaeger, K. E. , and Eggert, T. (2005) Phys. Chem. Chem. Phys. 7, 2804-2811]. Now, we have identified a second LOV homologue, PpSB1-LOV, found in the same organism with approximately 66% identical amino acids. Both proteins consist of a conserved LOV core flanked by short N- and C-terminal extensions but lack a fused effector domain. Although both proteins are highly similar in sequence, they display drastically different dark recovery kinetics. At 20 degrees C, PpSB2-LOV reverts with an average time constant of 137 s from the photoequilibrium to the dark state, whereas PpSB1-LOV exhibits an average dark recovery time constant of 1.48 x 10(5) s. Irrespective of the significant differences in their dark recovery behavior, both proteins showed nearly identical kinetics for the photochemically induced adduct formation. In order to elucidate the structural and mechanistic basis of these extremely different dark recovery time constants, we performed a mutational analysis. Six amino acids in a distance of up to 6 A from the flavin chromophore, which differ between the two proteins, were identified and interchanged by site-directed mutagenesis. The amino acid substitution R66I located near the FMN phosphate in LOV domains was identified in PpSB1-LOV to accelerate the dark recovery by 2 orders of magnitude. Vice versa, the corresponding substitution I66R slowed down the dark recovery in PpSB2-LOV by a factor of 10. Interestingly, the interchange of the C-terminal extensions between the two proteins also had a pronounced effect on the dark recovery time constants, thus highlighting a coupling of these protein regions to the chromophore binding pocket.
Comparison of the accuracy of PET/CT and PET/MRI spatial registration of multiple metastatic lesions.

OBJECTIVE The purpose of this study was to compare the accuracy of the spatial registration of conventional PET/CT with that of hybrid PET/MRI of patients with FDG-avid metastatic lesions. SUBJECTS AND METHODS Thirteen patients with known metastatic lesions underwent FDG PET/CT followed by PET/MRI with a hybrid whole-body system. The inclusion criterion for tumor analysis was spherical or oval FDG-avid tumor clearly identified with both CT and MRI. The spatial coordinates (x, y, z) of the visually estimated centers of the lesions were determined for PET/CT (PET and CT independently) and PET/MRI (PET, T1-weighted gradient-echo sequence with radial stack-of-stars trajectory, T2-weighted sequence), and the b0 images of an echo-planar imaging (EPI) diffusion-weighted imaging (DWI) acquisition. All MRI sequences were performed in the axial plane with free breathing. The spatial coordinates of the estimated centers of the lesions were determined for PET and CT and PET and MRI sequences. Distance between the isocenter of the lesion on PET images and on the images obtained with the anatomic modalities was measured, and misregistration (in millimeters) was calculated. The degree of misregistration was compared between PET/CT and PET/MRI with a paired Student t test. RESULTS Nineteen lesions were evaluated. On PET/CT images, the average of the total misregistration in all planes of CT compared with PET was 4.13 ± 4.24 mm. On PET/MR images, lesion misregistration between PET and T1-weighted gradient-echo images had a shift of 2.41 ± 1.38 mm and between PET and b0 DW images was 5.97 ± 2.83 mm. Similar results were calculated for 11 lesions on T2-weighted images. The shift on T2-weighted images compared with PET images was 2.24 ± 1.12 mm. Paired Student t test calculations for PET/CT compared with PET/MRI T1-weighted gradient-echo images with a radial stack-of-stars trajectory, b0 DW images, and T2-weighted images showed significant differences (p < 0.05). Similar results were seen in the analysis of six lung lesions. CONCLUSION PET/MRI T1-weighted gradient-echo images with a radial stack-of-stars trajectory and T2-weighted images had more accurate spatial registration than PET/CT images. This may be because that the whole-body PET/MRI system used can perform simultaneous acquisition, whereas the PET/CT system acquires data sequentially. However, the EPI-based b0 DWI datasets were significantly misregistered compared with the PET/CT datasets, especially in the thorax. Radiologists reading PET/MR images should be aware of the potential for misregistration on images obtained with EPI-based DWI sequences because of inherent spatial distortion associated with this type of MRI acquisition.
Test-retest reliability of two tiltboard tests in children.

BACKGROUND AND PURPOSE Most clinical evaluations of postural control in children are relatively subjective and have not been tested for reliability of scoring. The purpose of this study was to investigate the test-retest reliability of measurements obtained with two tiltboard tests. SUBJECTS Subjects were 18 children, aged 53 to 81 months (mean = 64.4, SD = 8.3), who were typically developing (TD group) and 18 children, aged 50 to 79 months (mean = 63.3, SD = 8.4), with developmental delays (DD group). METHODS Each child was tested using the two tilt-board tests and was then retested using the same tests approximately 1 week later. The maximum angle of tiltboard tilt prior to any postural adjustment by the child was recorded. RESULTS Intraclass correlation coefficients for test-retest reliability (two-way, random-effects, repeated-measures model) ranged from . 49 to . 54 for the TD group and from . 52 to . 82 for the DD group. Angles were higher for both groups for the second test. CONCLUSION AND DISCUSSION The results suggest that these tiltboard tests do not give stable and reliable measurements across test sessions. Before these tests can be used to document change in postural control abilities across time, further research is warranted.
Fault Detection and Control of Process Systems

This paper develops a stochastic hybrid model-based control system that can determine online the optimal control actions, detect faults quickly in the control process, and reconfigure the controller accordingly using interacting multiple-model (IMM) estimator and generalized predictive control (GPC) algorithm. A fault detection and control system consists of two main parts: the first is the fault detector and the second is the controller reconfiguration. This work deals with three main challenging issues: design of fault model set, estimation of stochastic hybrid multiple models, and stochastic model predictive control of hybrid multiple models. For the first issue, we propose a simple scheme for designing faults for discrete and continuous random variables. For the second issue, we consider and select a fast and reliable fault detection system applied to the stochastic hybrid system. Finally, we develop a stochastic GPC algorithm for hybrid multiple-models controller reconfiguration with soft switching signals based on weighted probabilities. Simulations for the proposed system are illustrated and analyzed.
Double-blind Comparison of Diclofenac Potassium, Ibuprofen and Placebo in the Treatment of Ankle Sprains

In a double-blind, placebo-controlled comparative study in 60 patients with ankle sprains suffering from moderate to severe inflammation and tenderness, the efficacy and tolerability of 150 mg/day diclofenac potassium given for 7 days was superior to that of 1.2 g/day Ibuprofen which was, in turn, superior to placebo. Efficacy was assessed by volumetric evaluation of inflammation of the injured ankle, tenderness on finger pressure, pain on movement and the severity of the joint injury. Patients used visual analogue scales to assess severity of pain at rest and on walking before and during treatment. Diclofenac potassium was significantly superior (P < 0.02) to Ibuprofen for all measures of efficacy (except severity of joint injury) and Ibuprofen was consistently superior to placebo. No serious adverse effects were reported. In conclusion, diclofenac potassium has been demonstrated to be effective in the treatment of acute ankle sprains and it had a rapid onset of action and good tolerability.