Miracle-dz/UniFAR-FTUs huggingface dataset:
Induction of Fibrinogen Binding and Platelet Aggregation as a Potential Intrinsic Property of Various Glycoprotein IIb/IIIa (IIbβ3) Inhibitors

The blockade of platelet integrin glycoprotein (GP) IIb/IIIa is a promising new antiplatelet strategy. The binding of ligands or of the ligand-mimetic peptide RGD causes a conformational change of GP IIb/IIIa from the nonactivated to the activated state. Because several blocking agents/inhibitors are ligand-mimetics, the current study evaluates whether these agents have the intrinsic property to activate GP IIb/IIIa. Fibrinogen binding to GP IIb/IIIa on platelets or on CHO cells expressing recombinant GP IIb/IIIa was evaluated by flow cytometry or 125I-labeled fibrinogen. Incubation with the monoclonal antibody (MoAb) fragment c7E3 (abciximab) results in fibrinogen binding to GP IIb/IIIa and in the access of ligand-induced binding sites. At low concentrations (0.01 to 0.1 microgram/mL), this intrinsic activating property of c7E3 can result in platelet aggregation. The disintegrin flavorodin and the RGD analogue fradafiban also induce fibrinogen binding, whereas the blocking MoAbs 2G12 and P2 and the activation-specific MoAb PAC-1 do not. Aspirin and indomethacin cannot block c7E3-induced fibrinogen binding to GP IIb/IIIa, but can inhibit c7E3-induced platelet aggregation. Thus, we conclude that GP IIb/IIIa inhibitors can demonstrate an intrinsic activating property, which can result in fibrinogen binding to GP IIb/IIIa and consequently in platelet aggregation. Cyclooxygenase inhibitors can inhibit platelet aggregation caused by GP IIb/IIIa inhibitors. Further studies will have to evaluate the clinical relevance of the potential intrinsic activating property of GP IIb/IIIa inhibitors and define consequences for the future drug development and evaluation of these potent antiplatelet agents.
Assessment of the Utilization of Insecticide Treated nets (ITNs) in Calabar Metropolis, Cross River State, Nigeria

A study has been carried out to assess the level of utilization of Insecticide treated bed nets, within the Calabar Metropolis, Cross River State, Nigeria. 34 item structured questionnaires was the instrument for data collection. The study population consisted of 440 households. The sampling technique used was multi-stage technique. Results from the study showed that despite high rate of ownership of Insecticide Treated bed nets: overall utilization in the study area was 40.68%. This level of utilization 40.68% is still below the 60% standard recommended by the Roll back Malaria programme. Some of the factors affecting utilization of Insecticide Treated bed nets by the respondents were: not accessible 22.73%, lack of information 9.54%, non-availability 8.64%, lack of enough bed space 7.27%, not comfortable 5.91%, not-affordable 5.0% and no mosquitoes in the house 0.23%. There is a need to scale-up ITNs utilization, if the targets of the World Health Organization general assembly target of zero death from malaria and complete eradication of malaria in 2030 have to be achieved, and 60% coverage of the use of insecticide treated bed nets by 2015. Keywords: Assessment, Utilization, and Insecticide-treated-bed-nets.
Can learning sets help policy managers with their wicked problems?

This paper reports on an evaluation of a national action learning set for health policy managers from three Australian state/territory health authorities, conducted during 2010–2011. We collected and analysed qualitative data about the major problems the participants encountered in their work, their experiences of the learning set and their perceptions of the outcomes. The predominant concerns of participants were ‘wicked problems’ in four areas: managing the environment, managing the policy process, managing the self and managing the policy team. Participants reported that the learning set had assisted them to gain greater awareness of and ability to navigate their environment, developed their judgement, strategic and problem-solving skills, contributed to empowerment and self-efficacy, and assisted them in providing support for their staff and building capacity in their organisation. Aspects of the method that contributed to learning included engaging with problems experienced by other members and discussing one’s own problems and strategies; and gaining new insight into ways of framing, analysing and responding to problems. The findings suggest that learning sets can be a powerful method for building policy capacity amongst middle-senior policy managers.
Measurement of the W boson rapidity, helicity, and differential cross sections in pp collisions at s=13 TeV

The differential cross section and charge asymmetry for inclusive W boson production at √ s = 13 TeV is measured for the two transverse polarization states as a function of the W boson absolute rapidity. The measurement uses events in which a W boson decays to either an electron or a muon and a neutrino. The data sample of protonproton collisions recorded with the CMS detector at the LHC in 2016 corresponds to an integrated luminosity of 35.9 fb−1. The absolute differential cross section, and its value normalized to the total inclusive W boson production cross section, are measured over the rapidity range |YW | < 2.5. In addition, the W boson double-differential cross section, dσ/dpTd|η|, and the charge asymmetry, are measured as a function of the charged lepton transverse momentum and pseudorapidity. The precision of these measurements is used to constrain the parton density functions (PDF) of the proton using the next-to-leading-order PDF set NNPDF3.0. This document has been revised with respect to the earlier version from the same date.
Sehaa: A Big Data Analytics Tool for Healthcare Symptoms and Diseases Detection Using Twitter, Apache Spark, and Machine Learning

Smartness, which underpins smart cities and societies, is defined by our ability to engage with our environments, analyze them, and make decisions, all in a timely manner. Healthcare is the prime candidate needing the transformative capability of this smartness. Social media could enable a ubiquitous and continuous engagement between healthcare stakeholders, leading to better public health. Current works are limited in their scope, functionality, and scalability. This paper proposes Sehaa, a big data analytics tool for healthcare in the Kingdom of Saudi Arabia (KSA) using Twitter data in Arabic. Sehaa uses Naive Bayes, Logistic Regression, and multiple feature extraction methods to detect various diseases in the KSA. Sehaa found that the top five diseases in Saudi Arabia in terms of the actual afflicted cases are dermal diseases, heart diseases, hypertension, cancer, and diabetes. Riyadh and Jeddah need to do more in creating awareness about the top diseases. Taif is the healthiest city in the KSA in terms of the detected diseases and awareness activities. Sehaa is developed over Apache Spark allowing true scalability. The dataset used comprises 18.9 million tweets collected from November 2018 to September 2019. The results are evaluated using well-known numerical criteria (Accuracy and F1-Score) and are validated against externally available statistics.
Sex Differences in the Risk of Metabolic Syndrome and its Diagnostic Components in Korean Adults

Objective: We examined sex differences in the risk of metabolic syndrome (MetS) and its diagnostic components among Korean adults. Methods: A total of 17,826 adults (7,061 men, 10,765 women) aged 19+ years with no diagnosed chronic diseases, such as diabetes, hypertension, or dyslipidemia were selected from the 2008-2012 Korea National Health and Nutrition Examination Survey data. MetS was classified by the National Cholesterol Education Program Adult Treatment Panel III criteria with the Asia-Pacific specific cut-off for excessive waist circumference. All statistical analyses accounted for the complex sampling design effect and used appropriate sample weights. Results: The overall prevalence of MetS was slightly higher in men (19.0%) than in women (14.8%). The prevalent diagnostic components were elevated triglycerides (33.2%) in men whereas low HDL-cholesterol (44.9%) and excessive waist circumference (31.3%) in women. The prevalence of MetS increased with age only in women. Women < 60 years had a lower prevalence of MetS than men in the same age category but the prevalence in women surpassed that in men after 60 years. There were differences in common combinations of MetS diagnostic components between men and women. Conclusion: The MetS risk differed by sex in Korean adults and was markedly high in older women. Our findings warrant specific preventive strategies and clinical managements for MetS according to sex, especially for middleaged and elderly women.
Effects of pyloric local CGRP and NO on bile reflux in rat stomach with stress ulcer

AIM: To investigate the effects of pyloric local CGRP and NO on bile reflux in rat stomach with stress ulcer. METHODS: Rats stress ulcer model was established by cold water soaking. Sixty-five rats were divided into three groups: normal control group, the stress group and the antagonist group. The gastric ulcer index, pH and bile acid of gastric juice were measured before and after stress. The pyloric local CGRP was measured by a radioimmu- noassay detection kit. The pyloric local nitric oxide was measured by a biochemic detection kit. RESULTS: The pyloric local nitric oxide reached the climax at 1 hour after stress. The bile acid and pH of gastric juice reached the maximum at 2 hours after stress. The ulcer index did it at 4 hours after stress. But the pyloric local CGRP decreased to the minimum at 4 hours after stress. The bile acid and ulcer index in L-NAME group decreased significantly compared with those of h-CGRP8-37 group. However, the bile acid of hCGRP837 group was less than that of antagonist control group, which was weaker than that in L-NAME group.
Catalytic wet peroxide oxidation of maleic acid: Characterization of copper/micelle templated silica-3-aminopropyltrimethoxysilane and kinetics

The study of catalysts enables the catalyst scientist to identify and understand the important steps such as active sites and stages in a catalysts’ lifetime. It is thus possible for scientists to design in more rational way, new and efficient catalysts. Therefore, the aim of this study was characterization of copper/micelle templated silica-3-aminopropyltrimethoxysilane (Cu/MTS-AMP) catalyst and study of kinetic parameters of maleic acid in catalytic wet peroxide oxidation. Scanning electron microscope and diffused reflectance infrared Fourier transform spectroscopy were used. SEM pictures of the Cu/ MTS-AMP - pyridine-2-carboxyaldehyde and Cu/ MTS-AMP - 2-hydroxy-1-naphthaldehyde samples show visible differences. The 2-hydroxy-1-naphthaldehyde showed clearly the principal band compared to pyridine-2-carboxyaldehyde. This led to conclusion that the 2-hydroxy-1-naphthaldehyde ligand might be a better choice compared to the pyridine-2-carboxyaldehyde to be used in the preparation of heterogeneous catalysts. However, the catalysts did not show differences in catalytic wet peroxide oxidation of maleic acid. The order of reaction was first order with respect to maleic acid, activation energy Ea, was, 67.052 kJ/mol and pre-exponential factor was 108 × 106 s-1. It was concluded that Cu/ MTS-AMP catalyst was effective for liquid phase oxidation of organic compounds and can be applied for catalytic wastewater treatment systems. Key words: Catalytic wet peroxide oxidation (CWPO), characterization, copper/micelle templated silica-3-aminopropyltrimethoxysilane (Cu/MTS-AMP), kinetics, wastewater treatment.
Patterns of restenosis after drug-eluting stent implantation: Insights from a contemporary and comparative analysis of sirolimus-and paclitaxel-eluting stents

Aim: To evaluate patterns of restenosis following implantation of sirolimus-eluting stent (SES) and paclitaxel-eluting stent (PES) in comparable unselected lesions. Methods and results: We have identified all episodes of restenosis after SES or PES implantation in our institutions between March 2003 and March 2005. Restenosis pattern was classified as focal, diffuse, proliferative, or occlusive. The position of focal restenosis was also categorized as proximal, in-stent, distal, or multi-focal. We have characterized 150 and 149 restenotic lesions in SES and PES groups, respectively. The incidence of diffuse and occlusive restenosis was significantly higher in PES than in SES (47.6 vs. 27.0%, P 0.001). Multivariable (OR 2.693, 95%CI 1.425-5.089, P=0.002) and propensity (OR 3.00, 95%CI 1.584-5.672, P 0.001) analyses confirmed the positive association of PES with non-focal restenosis. For both stents, focal-edge restenosis was significantly more likely to occur proximally than distally (61.0 vs. 16.9%, P 0.001 for PES and 45.8 vs. 16.8%, P 0.001 for SES). Conclusion: Focal restenosis remains the most common pattern with SES. In contrast, just under half of restenosis in PES is the more severe non-focal pattern. Paradoxically, the majority of focal restenosis occurs at the proximal stent margin for both platforms.
CAREER: A Uniﬁed Theory of Pseudorandomness

Randomization is one of the most pervasive paradigms in computer science, with widespread use in areas including algorithm design, cryptography, coding theory, network design, and interactive proofs. However, it is still not known to what extent the randomness is really necessary in these settings, and understanding this is important for both practical and theoretical reasons. The main approach to addressing this issue is via the paradigm of pseudorandomness, which is the theory of generating objects that “look random” despite being constructed using little or no randomness. The proposed research builds upon recently established connections between four of the most important kinds of pseudorandom objects: pseudorandom generators — procedures which stretch a short “seed” of truly random bits into a long string of “pseudorandom” bits which cannot be distinguished from truly random by any efficient algorithm, expander graphs — networks which are sparse but nevertheless highly connected, error-correcting codes — methods for encoding messages so that even if many of the symbols are corrupted, the original message can still be recovered, and extractors — procedures which extract almost uniformly distributed bits from a source of biased and correlated bits. While these objects were previously each the subject of largely distinct bodies of research, several recent discoveries have shown that these objects are almost the same when interpreted appropriately. This unification makes the time ripe for substantial advances in the area, and also for educating a larger community about the topic. With this in mind, the broad goals of this career development plan are the following:
Blood Profiles as Indicators of Nutritional Status

Blood tests from individual animals are routinely used to diagnose disease problems in dairy cattle. Veterinarians, producers and nutrition consultants alike seem to be interested in extracting pertinent information relative to herd nutrition and health status from blood tests. The Compton Metabolic Profile (CMP) has traditionally been used in this approach (10). The original intent of the CMP was to: 1. monitor metabolic health of the herd; 2. help diagnose metabolic problems and production diseases, and 3. identify metabolically superior cows (10, 11). A “metabolic profile” is defined as a series of specific analytical tests run in combination and used as a diagnostic aid (7).
Derivatives and Control in the Presence of Shocks

Sensitivity of shocks to data is a key point for fluid-structure and flutter control, and even more for sonic boom reduction. The linearized equations of fluids have Dirac masses and so it is not clear that the standard tools of optimal control apply to these. We show here that indeed great care have to be applied to find the linearized equations but that there is no such difficulties for control problems which do not involve explicitly the position of the shock in the criteria.
Individual differences in bilingual experience modulate executive control network and performance: behavioral and structural neuroimaging evidence

Abstract Dual/multiple language use has been shown to affect cognition and its neural substrate, although the replicability of such findings varies, partially due to neglecting the role of interindividual variability in bilingual experience. To address this, we operationalized the main bilingual experience factors as continuous variables, investigating their effects on executive control performance and neural substrate deploying a Flanker task and structural magnetic resonance imaging. First, higher L2 proficiency predicted better executive performance. Second, neuroimaging results indicated that bilingualism-related neuroplasticity may peak at a certain stage of bilingual experience and eventually revert, possibly following functional specialization. Importantly, experienced bilinguals optimized behavioral performance independently of volumetric variations, suggesting a degree of performance gain even with lower GMV. Hence, the effects of bilingualism on cognition may evolve with experience, with improvements in functional efficiency eventually replacing structural changes. We conclude that individual differences in bilingual experience modulate cognitive and neural consequences of bilingualism.
Multiuser Diversity in Network-Coded Cooperation: Outage and Diversity Analysis

In this letter, we study multiuser diversity (MUD) in network-coded cooperation (NCC) systems. Specifically, we propose a two-step user-relay selection mechanism that selects subsets of users and relays to exploit both MUD and cooperative diversity in a multiuser multirelay NCC system. Assuming independent but not necessarily identically distributed Rayleigh fading channels, we derive closed-form expressions for the system outage probability. We further obtain asymptotic outage expressions to quantify the diversity order as a function of different system parameters. Our results demonstrate the superiority (diversity gains) of the proposed MUD-based NCC compared with NCC schemes without MUD. Monte-Carlo simulations are also presented to verify the accuracy of our theoretical findings.
www.econstor.eu Shape constrained kernel density estimation

In this paper, a method for estimating monotone, convex and log-concave densities is proposed. The estimation procedure consists of an unconstrained kernel estimator which is modified in a second step with respect to the desired shape constraint by using monotone rearrangements. It is shown that the resulting estimate is a density itself and shares the asymptotic properties of the unconstrained estimate. A short simulation study shows the finite sample behavior.
Lmx1b Influences Correct Post-mitotic Coding of Mesodiencephalic Dopaminergic Neurons

The Lim Homeobox transcription factor 1 beta (LMX1b) has been identified as one of the transcription factors important for the development of mesodiencephalic dopaminergic (mdDA) neurons. During early development, Lmx1b is essential for induction and maintenance of the Isthmic Organizer (IsO), and genetic ablation results in the disruption of inductive activity from the IsO and loss of properly differentiated mdDA neurons. To study the downstream targets of Lmx1b without affecting the IsO, we generated a conditional model in which Lmx1b was selectively deleted in Pitx3 expressing cells from embryonic day (E)13 onward. Supporting previous data, no significant changes could be observed in general dopamine (DA) marks, like Th, Pitx3 and Vmat2 at E14.5. However, in depth analysis by means of RNA-sequencing revealed that Lmx1b is important for the expression level of survival factors En1 and En2 and for the repression of mdDA subset mark Ahd2 during (late) development. Interestingly, the regulation of Ahd2 by Lmx1b was found to be Pitx3 independent, since Pitx3 levels were not altered in Lmx1b conditional knock-outs (cKO) and Ahd2 expression was also up-regulated in Lmx1b/Pitx3 double mutants compared to Pitx3 mutants. Further analysis of Lmx1b cKOs showed that post-mitotic deletion of Lmx1b additional leads to a loss of TH+ cells at 3 months age both in the VTA and SNc. Remarkably, different cell types were affected in the SNc and the VTA. While TH+AHD2+ cells were lost the SNc, TH+AHD2- neurons were affected in the VTA, reflected by a loss of Cck expression, indicating that Lmx1b is important for the survival of a sub-group of mdDA neurons.
Measurement of Distorted Power-Frequency Electric Field With Integrated Optical Sensor

The measurement of the distorted power-frequency electric field needs to meet some special requirements such as appropriate insulation, quick response, passive measurement, and small size. In this paper, based on the Pockels effect, an integrated optical sensor is designed and used for measuring distorted power-frequency electric field for the first time. The input–output characteristic, frequency response, and temperature characteristic of the sensor are studied. The data show that the sensor has a linear measurable range from 100 V/m to 27 kV/m, a 3-dB bandwidth from 20 Hz to 10 MHz, with good temperature stability. The developed sensor is used to measure the distorted electric field and is compared with the Narda-NBM-550 sensor. The relative errors between the measured values of these two sensors and the simulation values obtained by the finite-element method are calculated. It is noted that the relative errors of the integrated optical sensor in different positions are within 12%. However, the Narda-NBM-550 sensor performs poorly at the edges of the barrier with an error of 22%. In conclusion, the findings demonstrate that the integrated optical sensor developed in this paper is more suitable for measuring distorted power-frequency electric field than the Narda-NBM-550 sensor. Further research needs to focus on the measurement of the 3-D distorted power-frequency electric field.
Email Spam Detection Using Integrated Approach of Naïve Bayes and Particle Swarm Optimization

Now-a-days, communication through email has become one of the cheapest and easy ways for the official and business users due to easy availability of internet access. Most of the people prefer to use email to share important information and to maintain their official records. But just like the two sides of coin, many people misuse this easy way of communication by sending unwanted & useless bulk emails to others. These unwanted emails are spam emails that affect the normal user to face the problems like excessive usage of their mailbox memory and filtration of useful email from unwanted useless emails. So, there is the need of some autonomous approach that filters the excessive data of emails in the form of spam emails. In this paper, an integrated approach of machine learning based Naive Bayes (NB) algorithm and computational intelligence based Particle Swarm Optimization (PSO) is used for the email spam detection. Here, Naive Bayes algorithm is used for the learning and classification of email content as spam and non-spam. PSO has the stochastic distribution & swarm behavior property and considered for the global optimization of the parameters of NB approach. For experimentation, dataset of Ling spam dataset is considered and evaluated the performance in terms of precision, recall, f-measure and accuracy. Based on the evaluated results, PSO outperforms in comparison with individual NB approach.