Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Endovascular Therapy Strategy for Acute Ischemic Stroke Due to Intracranial Atherosclerosis-Related Large Vessel Occlusion: Stent-Pass-Aspiration-resCuE-Micowire-Angioplasty (SPACEMAN) Technique

Background There is no clear consensus on the optimal endovascular treatment strategy for patients with ischemic stroke caused by ICAS-related large vessel occlusion (LVO). SPACEMAN, a novel thrombectomy technique that entails passing an aspiration catheter over the stent retriever and then retaining the microwire for angioplasty, has not been described. The aim of this prospective study was to evaluate our initial application of SPACEMAN and compare this technique with the Solumbra technique. Methods Forty-four consecutive patients with acute ischemic stroke resulting from ICAS-related LVO were randomly divided into two groups: Solumbra group (n = 22) and SPACEMAN group (n = 22). Demographic and clinical data were prospectively collected. Modified Rankin Scale (mRS) score of ≤ 2 of anterior circulation and mRS score ≤ 3 of posterior circulation at 3 months post-discharge was regarded as good prognosis. Results The SPACEMAN group showed reduced mean time from femoral access to recanalization compared with the Solumbra group (39.55 ± 10.63 min vs. 50.73 ± 9.89 min, P = 0.001). The overall recanalization rate in the entire cohort was 93.18% (41/44). At 3-month follow-up, the overall good prognosis rate was 47.73%; 13 patients (59.09%) in the SPACEMAN group and 8 (36.36%) in the Solumbra group showed good prognosis. One patient in the SPACEMAN group (4.55%) and two patients in the Solumbra group (9.09%) developed symptomatic intracranial hemorrhage. The overall mortality rate was 4.55% (2/44). Conclusions This study suggests that SPACEMAN exhibits a shorter operation revascularization time than the standard thrombectomy. Complications and prognosis were comparable between the two groups. The safety and efficacy of this novel technique need to be studied in larger patient series.
A Radiative Transfer Simulator for PACE: Theory and Applications

A radiative transfer simulator was developed to compute the synthetic data of all three instruments onboard NASA’s Plankton Aerosol, Cloud, ocean Ecosystem (PACE) observatory, and at the top of the atmosphere (TOA). The instrument suite includes the ocean color instrument (OCI), the Hyper-Angular Rainbow Polarimeter 2 (HARP2), and the Spectro-Polarimeter for Planetary Exploration 1 (SPEXone). The PACE simulator is wrapped around a monochromatic radiative transfer model based on the successive order of scattering (RTSOS), which accounts for atmosphere and ocean coupling, polarization, and gas absorption. Inelastic scattering, including Raman scattering from pure ocean water, fluorescence due to chlorophyll, and colored dissolved organic matter (CDOM), is also simulated. This PACE simulator can be used to explore the sensitivity of the hyperspectral and polarized reflectance of the Earth system with tunable atmosphere and ocean parameters, which include aerosol and cloud number concentration, refractive indices, and size distribution, ocean particle microphysical parameters, and solar and sensor-viewing geometry. The PACE simulator is used to study two important case studies. One is the impact of the significant uncertainty in pure ocean water absorption coefficient to the radiance field in the ultraviolet (UV) spectral region, which can be as much as 6%. The other is the influence of different amounts of brown carbon aerosols and CDOM on the polarized radiance field at TOA. The percentage variation of the radiance field due to CDOM is mostly for wavelengths smaller than 600 nm, while brown aerosols affect the whole spectrum from 350 to 890 nm, primarily due to covaried soot aerosols. Both case studies are important for aerosol and ocean color remote sensing and have not been previously reported in the literature.
The Intriguing Role of TLR Accessory Molecules in Cardiovascular Health and Disease

Activation of Toll like receptors (TLR) plays an important role in cardiovascular disease development, progression and outcomes. Complex TLR mediated signaling affects vascular and cardiac function including tissue remodeling and repair. Being central components of both innate and adaptive arms of the immune system, TLRs interact as pattern recognition receptors with a series of exogenous ligands and endogenous molecules or so-called danger associated molecular patterns (DAMPs) that are released upon tissue injury and cellular stress. Besides immune cells, a number of structural cells within the cardiovascular system, including endothelial cells, smooth muscle cells, fibroblasts and cardiac myocytes express TLRs and are able to release or sense DAMPs. Local activation of TLR-mediated signaling cascade induces cardiovascular tissue repair but in a presence of constant stimuli can overshoot and cause chronic inflammation and tissue damage. TLR accessory molecules are essential in guiding and dampening these responses toward an adequate reaction. Furthermore, accessory molecules assure specific and exclusive TLR-mediated signal transduction for distinct cells and pathways involved in the pathogenesis of cardiovascular diseases. Although much has been learned about TLRs activation in cardiovascular remodeling, the exact role of TLR accessory molecules is not entirely understood. Deeper understanding of the role of TLR accessory molecules in cardiovascular system may open therapeutic avenues aiming at manipulation of inflammatory response in cardiovascular disease. The present review outlines accessory molecules for membrane TLRs that are involved in cardiovascular disease progression. We first summarize the up-to-date knowledge on TLR signaling focusing on membrane TLRs and their ligands that play a key role in cardiovascular system. We then survey the current evidence of the contribution of TLRs accessory molecules in vascular and cardiac remodeling including myocardial infarction, heart failure, stroke, atherosclerosis, vein graft disease and arterio-venous fistula failure.
The TNF-Alpha Inducing Protein is Associated With Gastric Inflammation and Hyperplasia in a Murine Model of Helicobacter pylori Infection

Helicobacter pylori (H. pylori) is a Gram-negative bacterium that colonizes the human stomach leading to the development of chronic gastritis, peptic ulcers and gastric adenocarcinoma. A combination of host, environment and bacterial virulence factors contribute to disease development. The H. pylori TNFα inducing protein (Tipɑ) is a virulence factor shown to induce multiple pro-inflammatory cytokines in addition to TNFα in vitro. The goal of the present study was to elucidate the role of Tipα in promoting inflammation in vivo and to identify the molecular pathways associated with Tipα associated virulence. Mice were infected with wild-type Sydney strain (SS1) or a tipα mutant (Δtipα) for 1 month and 4 months. We also completed a second 4 months infection including a 1:1 SS1 to Δtipα co-infected group in addition to SS1 and Δtipα infected groups. The expression of TNFα, and KC were significantly higher in the SS1 infected group compared to both uninfected control (naïve) and Δtipα groups. Mice infected with Tipα expressing SS1 induced more severe histological gastritis and developed hyperplasia compared to Δtipα infected mice. Microarray analysis of gastric epithelial cells co-cultured with recombinant Tipα (rTipα) demonstrates up-regulation of the NFκB pathway. This data suggest Tipα plays an important role in H. pylori induced inflammation.
Uric Acid Potential Role in Systemic Inflammation and Negative Symptoms After Acute Antipsychotic Treatment in Schizophrenia

Uric acid (UA) has been shown to have neuroprotective or neurotoxic properties, in relation to specific tissues and diseases that have been studied. Previous studies provided contradictory results on the role of UA in schizophrenia as a neurodegenerative disorder. The aim of this brief report was an additional analysis of UA sera levels in different phases of schizophrenia. Here, 86 patients with first-episode psychosis (FEP) vs. 45 patients with schizophrenia in relapse (SC in relapse) vs. 35 healthy control subjects (HC) were studied before and 1 month after antipsychotic therapy. Further, we aimed to explore the possible correlation of UA with scores presenting clinical features and with serum concentrations of the proinflammatory cytokines interleukin (IL)-6 and IL-17. When comparing the data between all three groups, we did not find significant differences in UA levels, either before or after the applied therapy. Also, comparing sera concentrations of UA in every single group, the analysis did not reveal statistically significant differences between FEP patients, but statistically, a significant difference was found in SC in relapse before and after treatment (334.71 ± 116.84 vs. 289.37 ± 109.15 μmol/L, p = 0.05). Uric acid serum levels correlated with negative sub-score (p = 0.001, r = 0.306), general sub-score (p = 0.015, r = 0.236), and total PANSS score (p = 0.009, r = 0.3) after 1 month of therapy. We have established a statistically significant positive correlation between serum concentrations of UA and IL-6 in exacerbation (p = 0.01, r = 0.220) and with IL-17 after treatment and in the stabilization of psychosis (p = 0.01, r = 0.34), suggesting potential cascades in different phases of schizophrenia that potentiate inflammation.
Optimization method of intersection signal coordinated control based on integrated green wave bandwidth maximization

Against the traditional green wave control which considers only to maximize the public greeen wave bandwidth(GWB),a new phase-offset optimization way was proposed which considers the public GWB as well as the additional bandwidth for a part of the connected intersections to maximize the integrated GWB.The corresposnding objective functions of the control were designed,the calculation method of GWB and its optimization process were given by combination of diagram method and trial-and-error method.The case study showed that although the public GWB obtained by proposed method appears a little reduced than that given by the traditional control method,the proposed control method is better in control effect.
Fabrication, materials, and characterization for efficient MEMS power generation

by Julia Vivian Martinez, M.S. Washington State University August 2004 Chair: David F. Bahr Changes to the fabrication of lead zirconate titanate have been made to improve the processing efficiency and decrease the environmental hazards in the production of a piezoelectric thin film-based MEMS engine. Several trials of non-2-MOE-based solution deposition routes were attempted, finding an acetate-based hybrid sol-gel route to provide films of good quality with decreased processing times. Additionally, the incorporation of rapid thermal annealing (RTA) for crystallization of the sol-gel films is shown to be a practical replacement to the conventional furnace currently used in the PZT processing scheme. Viability of this route was determined through characterization of the structure (FESEM, AFM and XRD) and properties (dielectric constant, transverse piezoelectric coefficients, electromechanical response, and film stress). Further improvements to the PZT thin film were investigated from studying the processing-structure-property relationship for various parameters, such as solution chemistry, dopant additions, and heat treatment. Three chemistries of sol-gel derived PZT were prepared, 32/68, 40/60, and 52/48. Increased piezoelectric response was obtained with 52/48 chemistry, showing a rhombohedral structure, which deviates from the tetragonal structures of the former
Impact of Feature Selection Methods on Machine Learning-based for Detecting DDoS Attacks : Literature Review

Cybersecurity attacks are becoming increasingly sophisticated and increasing with the development of technology so that they present threats to both the private and public sectors, especially Denial of Service (DoS) attacks and their variants which are often known as Distributed Denial of Service (DDoS). One way to minimize this attack is by using traditional mitigation solutions such as human-assisted network traffic analysis techniques but experiencing some limitations and performance problems. To overcome these limitations, Machine Learning (ML) has become one of the main techniques to enrich, complement and enhance the traditional security experience. The way ML works are based on the process of data collection, training and output. ML is influenced by several factors, one of which is feature engineering. In this study, we focus on the literature review of several recent studies which show that the feature selection process greatly impacts the level of accuracy of this ML. Datasets such as KDD, UNSW-NB15 and others also affect the level of accuracy of ML. Based on this literature review, this study can observe several feature engineering strategies with relevant impacts that can be chosen to improve ML solutions on DDoS attacks.
Using service logic to interpret customers' experiences during call centre interactions.

120 words) In the co-creation of value by firms and their customers, interactions serve as an important foundation for ongoing value-in-use. This study aims first, to explore customers’ positive and negative experiences of interactions with frontline employees; and second, to interpret the findings using service logic. Responses to open-ended questions were collected via mail survey from two types of call centre customers, end consumers of insurance (n=289) and business customers of a bank (n=325). Both types of customers demonstrated similar concerns but a different emphasis. End consumers were preoccupied with value co-creation during the interaction, while business customers focused more on the outcome, and further value-in-use. The paper interprets the findings using Gronroos’ (2009) value creation model, and includes managerial implications.
The changing roles of internal auditors in the Ukrainian central government

Purpose The purpose of this paper is to explore how internal auditors’ (IAs) roles have changed because of the diffusion of neoliberal ideologies in the Ukrainian public sector. Design/methodology/approach A qualitative methodological approach was applied. Data were collected from 29 semi-structured interviews with public sector auditors in Ukraine’s central government; secondary data analysis was also performed. Findings IAs’ role in Ukraine’s central government has changed significantly, with reforms attempting to move to performance auditing. Consequently, Ukrainian central government IAs appeared in the multi-expectation situation, due to the division of the role senders into two different areas. On one hand, IAs are expected to perform new roles set by the Ministry of Finance of Ukraine, while their traditional role as “watchdogs” is still expected by managers (heads of institutions). Diverging expectations resulted in the role conflict that impedes the change in IAs’ role and performance auditing introduction in the Ukrainian central government. Moreover, we identify factors that motivate IAs to prioritise managers’ expectations, while trying to cope with the existing role conflict in Ukraine’s central government. Originality/value This study makes a threefold contribution by enriching the understanding of auditors’ roles, role conflicts that public sector auditors may experience and factors that influence how auditors cope with such conflicts, through the lenses of role theory; exploring the change in roles with the emergence of performance auditing; and shedding light on public sector auditing in the less explored context of a post-Soviet country.
Planning of Electric Vehicle Charging Stations in Highway Network

The rapid development of electric vehicles(EVs)requires the appropriate planning of EV charging stations.EV charging stations in a highway network are the guarantee for long distance driving.This paper studies the charging demand distribution in highway network and proposes a planning scheme by the two-step method.The first step is to determine the candidate stations considering the distance from highway entrance/exit to charging stations and EV mileage.The second step is to determine the optimal location and capacity of EV charging stations considering the charging demand,minimal construction cost,grid connection cost,operation and maintenance cost.A highway network containing six gateways and four intersections is proposed to select 90 candidate stations and build 24 optimal charging stations.The method proposed is able to meet all the objectives and the planning scheme varies with the state-of-charge expectation,and affecting factors between stations and quantity constraint of stations.
Study Mullins effect of polyurethane reinforcement with halloysite nanotube by molecular dynamics simulation

Molecular dynamics simulation was applied to study the irreversible strain through loading and unloading cyclic tests of polyurethane (PU) reinforced with halloysite nanotube (HNT). The influences of the stretching cycle rate, different temperatures, the volume of halloysite nanotube and the density rate of the hard and soft domain of PU were studied on the permanent set. The results illustrate that the residual strain was increasing when the stretching loading is increasing, for example, with increasing strain load to 250% the residual strain increased to 55%. In contrast, the increasing volume fraction of HNT and hard part content of PU lead to lower residual strain. The recovery of the permanent set is achievable by increasing temperature from 1 K to 200 K residual strain is decreased to 52%. An Ogden constitutive and the theory of pseudo-elasticity were adopted to simulate this composite in the ABAQUS software. This model has proposed a reasonable prediction of plastic deformation.
Tooth Mobility Pattern in Periodontitis Patients with Diabetes Mellitus

Background: Tooth mobility may be a common problem among patients seeking dental treatment. Tooth mobility is defined as an extent of horizontal and vertical tooth displacement created by external forces, trauma and periodontal diseases. Aim: The aim of the present study is to evaluate the pattern of tooth mobility in patients with diabetes mellitus. Study design: Retrospective study Materials and methods: The case sheet records ( DIAS data ) of tooth mobility in diabetic patients were extracted. A total of 1568 case sheets were analysed for the study. Age, gender and pattern of tooth mobility with respect to the region were collected and statistically analysed using SPSS statistical software. Descriptive statistics (percentage, mean, SD) and inferential test (Chi square test) were performed to determine the association between age, gender and region of tooth mobility in diabetes mellitus patients. Results: Results showed that tooth mobility was more common among males when compared to females. According to age, patients between 41 to 50 years with diabetes mellitus were more affected by tooth mobility. Tooth mobility was more commonly seen in the mandibular anterior region. Conclusion: The present study showed a possible relationship between diabetes mellitus and tooth mobility. Results showed that 80% of patients with diabetes mellitus had tooth mobility. Therefore, early diagnosis, preventive therapeutic measures and oral hygiene reinforcement is needed to prevent progression of periodontal disease leading to tooth mobility.
Population genetic structure of the maize weevil, Sitophilus zeamais, in southern Mexico

The maize weevil, Sitophilus zeamais, is a ubiquitous pest of maize and other cereal crops worldwide and remains a threat to food security in subsistence communities. Few population genetic studies have been conducted on the maize weevil, but those that exist have shown that there is very little genetic differentiation between geographically dispersed populations and that it is likely the species has experienced a recent range expansion within the last few hundred years. While the previous studies found little genetic structure, they relied primarily on mitochondrial and nuclear microsatellite markers for their analyses. It is possible that more fine-scaled population genetic structure exists due to local population dynamics, the biological limits of natural species dispersal, and the isolated nature of subsistence farming communities. In contrast to previous studies, here, we utilized genome-wide single nucleotide polymorphism data to evaluate the genetic population structure of the maize weevil from the southern and coastal Mexican states of Oaxaca and Chiapas. Our study is the first to find significant genetic population structure in the maize weevil. Here, we show that although there continues to be gene flow between populations of maize weevil, that fine-scale genetic structure exists. It is possible that this structure is shaped by the movement and trade of maize by humans in the region, by geographic barriers to gene flow, or a combination of factors.
DIETARY ASSESSMENT OF MARWARI COMMUNITY OF JORHAT, INDIA

Nutritionally animal proteins are better for its superior bioavailibity, however due to the presence of high saturated fat content in food of animal origin, vegetarian diets are widely considered as healthy. But due to lack of proper information the nutritional adequacy of vegetarian diet followed by different communities is still uncertain. The Marwari is a strict ethnic vegetarian community of Indian, originated from Rajasthan, India. Due to business purpose a fraction of the Marwari community migrated to and residing at Jorhat, India. In view of lack of information on nutritional status of this particular community, a study was conducted to determine their nutrient intakes and variability in diets and dietary risk factors; weighing against similar values among Marwaries residing in Rajasthan. Total 200 samples were randomly selected and information on demographic profile, anthropometry, dietary habit and health status of the sample population were collected with the help of an interview schedule and a pre tested food frequency questionnaire. Findings were presented as percentage or mean with standard error. The food culture of the Assamese Marwari community is established within the traditional Marwari diet frame with strict vegetarianism and high fat diet, mostly contributed by clarified butter or desi ghee. However, the diet of the sample population was influenced by dissimilarity in agro climatic condition between Rajasthan and Assam. This study evaluates the dietary pattern, influence of environmental factor on traditional diet pattern due to migration and prevalence of risk factors of coronary heart and/or other non-communicable diseases among the sample population.