Miracle-dz/UniFAR-FTUs huggingface dataset:
Calcium/Calmodulin‐Dependent Kinase IV Facilitates the Recruitment of Interleukin‐17–Producing Cells to Target Organs Through the CCR6/CCL20 Axis in Th17 Cell–Driven Inflammatory Diseases

The recruitment of interleukin‐17 (IL‐17)–producing T helper (Th17) cells to inflammatory sites has been implicated in the development of organ damage in inflammatory and autoimmune diseases including systemic lupus erythematosus (SLE). To define the mechanism of calcium/calmodulin‐dependent kinase IV (CaMKIV) activation of Th17 cell recruitment to target tissues, we performed anti–glomerular basement membrane antibody–induced glomerulonephritis (AIGN) experiments in mice and studied samples from patients with SLE.
A Fuzzy Rough Feature Selection Framework for Investors Behavior Towards Gold Exchange-Traded Fund

Behavioural finance has gained research interest among researchers because of investor behavior and market anomalies. Investor behaviour varies with demographics and geographic characteristics. Further, investor behavior towards a gold exchange trade fund is gaining research interest due to various factors. Not much research has been carried out in this direction, with the exception of some comparisons. Therefore, the performance of a gold exchange traded fund needs to be assessed from the investor behavior perspective. Additionally, the investors behavior contains uncertainties. Thus, there is a need for intelligent techniques for identifying the investors behavior despite the presence of uncertain behavioral characteristics. Therefore, to study uncertain behavior characteristic in gold exchange traded fund, in this article the authors employ a fuzzy rough set. They employ fuzzy rough quick reduct algorithm to find the superfluous attributes. Further decision rules are generated to identify the chief feature of investors' behavior towards gold exchange traded fund.
Bayesian Block-Sparse Channel Estimation for Large-Scale MISO-OFDM Systems

This letter studies a new method based on Bayesian variational inference to estimate the sparse channel parameters in large-scale multiple-input-single-output orthogonal frequency division multiplexing (MISO-OFDM) systems. Also, the sparse common support of different channel impulse responses, which results in a block- structured model, is considered. The covariance matrix of the block is introduced in the block-structured model to effectively recover the channel parameters combining with the Bayesian hierarchical structure. Furthermore, variational message-passing (VMP) is applied to slove the problem. The simulation results show that the proposed algorithm outperforms the traditional ones.
Design and analysis of wafer-level vacuum-encapsulated disk resonator gyroscope using a commercial MEMS process

We present the design and analysis of a mode-matched disk resonator gyroscope that is characterized by a high quality factor exceeding 1 million. The mode match resonator is designed using geometric compensation technique for reducing frequency split between two degenerate modes. The gyroscope sensor is designed using MEMS Integrated Design for Inertial Sensors (MIDIS) process offered by Teledyne DALSA Semiconductor Incorporated (TDSI). The MIDIS process offers ultra clean wafer-level vacuum encapsulation at 10m Torr. Our disk resonator gyroscope has a circular shape with 600 μm diameter and is made with 40 μm thick single crystal silicon material.
An Extended Iterative Finite Element Model for Simulating Eddy Current Testing of Aircraft Skin Structure

This paper presents a new finite element (FE) model for three-dimensional simulation of eddy current testing of aircraft skin structure. More specifically, scanning of ferrite-core probe over aluminum plates riveted by steel fasteners is simulated. The model uses different FE meshes to discretize the ferrite core, the aluminum plates, and the fasteners. The coil is not meshed. The reduced magnetic vector potential generated by the induced currents and/or magnetization in each domain is calculated and updated by an iterative procedure. Re-meshing due to changing probe position in conventional models is avoided. Efficiency of the model is demonstrated.
A New Method for Confidence of Network Based on Fuzzy Matrix Operations

In the domain of fusion for passive signals, the confidence degrees for conversations and communication networks are critical to obtain the precise belief degree for higher level information. In this paper, we first examine the characteristics of messages, emitters, conversation, and communication network. By defining several temporal functions, we then propose the formulation of association degree, termed as homology degree, for clustering messages into emitters, and present mathematical formulation to compute the confidence degree for any possible conversation between a pair of emitters. Subsequently, by using fuzzy matrix operations, we introduce the incidence matrix for a set of ongoing conversations, and design an iterative fuzzy matrix operation to deduce the confidence matrix for a communication network. Also, by using Dempster-Shafer combination rule, we describe a method to combine two confidence matrices for a network from different sources, or at different time steps. Finally, we provide an example to show the purport and effectiveness of our methods.
Cognitive Resource Access Scheme for IR-UWB Autonomous Networks

This paper introduces a novel MAC strategy, which flexibly configures the error protection level and the average pulse period per link to control the shared medium utilization in an IR-UWB network. This strategy deviates from recent research efforts towards access schemes based on IEEE 802.15. 4 MAC and exploits research results of game theory and cognitive radio.
Intravenous antibiotics and Pseudomonas aeruginosa

We believe that prompt initiation of eradication protocols for new Pseudomonas aeruginosa infection and early, high dose intravenous antibiotic treatment of respiratory exacerbations have been the most important factors responsible for the improved outlook for people with CF (Conway et al, 1985; Smith et al, 1988; Regelmann et al, 1990; Bradley et al, 1999). All patients require regular respiratory cultures (throat/cough swabs or sputum) and appropriate antibiotic treatment to eradicate any pathogenic bacteria (Cystic Fibrosis Trust, 2002).
The emerging role of anticancer-drugs-Bexarotene in a clinical trial of Alzheimer’s dementia

Background: Cancer is a disease which affects the elderly, just like Alzheimer’s disease (AD) which is also a common disease affecting older people. Most of the symptoms are related with both these diseases, therefore there may be therapeutic link between anticancer drugs and AD. Objective: To synthesize the studies aimed at therapeutic links between Alzheimer’s disease and anticancer drugs (Bexarotene). Design: To identify potential new treatment possibilities we applied the systematic searches of key electronic databases. The inclusion criteria were; a. Studies aimed at improving cancer and anticancer therapies with human model. b. Peer-reviewed and written in English without any searching limitation on the basis of published date. c. Studies of drugs related to cancer treatment that was relevant to AD. d. We did not include the clinical news, case report and animal trial studies. Results: After filtering titles, abstract, references published in English into one study that has been condensed into one volume of literature. There is very hard to find studies aimed at therapeutic links between Alzheimer’s disease and Anti-cancer drugs in human model. However, sufficient studies are conducted with animal model (mice) and indicating the positive benefits to the AD patients. Bexarotene is useful for the reduction of cholesterol, loss of function associated with APOE ε4, peripheral thyroid hormone metabolism and athyreotic and amyloid beta that is a key cofactor of Alzheimer’s disease. Also, Bexarotene has been shown to restore cognitive functions. Conclusion: This review discusses the emerging role of anticancer-drugs-Bexarotene in a clinical trial of Alzheimer’s dementia with the support of animal model successful results and their effectiveness and will be a significant drug in the coming decades.
Online stream processing of machine-to-machine communications traffic: A platform comparison

In a machine-to-machine (M2M) communications system, the deployed devices relay data from on-board sensors to a back-end application over a wireless network. Since the cellular network provides very good coverage (especially in inhabited areas) and is relatively inexpensive, commercial M2M applications often prefer it to other technologies such as WiFi or satellite links. Unfortunately, having been originally designed with human users in mind, the cellular network provides little support to monitor millions of unattended devices. For this reason, it is extremely important to monitor the underlying signalling traffic to detect misbehaving devices or network problems. In the cellular network used by M2M communications systems, the network elements communicate using the Signalling System #7 (SS7), and a real-life system can generate tens of millions of SS7 messages per hour. This paper reports the results of our practical investigation on the possibility to use distributed stream processing systems (DSPSs) to perform real-time analysis of SS7 traffic in a commercial M2M communications system consisting of hundreds of thousands of devices. Through a thorough experimental evaluation based on the analysis of real-world SS7 traces, we present and compare the implementations of a DSPS-based data analysis application on top of either the well-known Storm DSPS or the Quasit middleware. The results show that, by using DSPS services, we are able to largely meet the real-time processing requirements of our use-case scenario.
Tissue distribution of the four gene products of the plasma membrane Ca2+ pump. A study using specific antibodies.

Antibodies against the four isoforms of the human plasma membrane Ca(2+)-ATPase (PMCA) were raised using an N-terminal sequence of the pump as epitope. The antibodies against PMCA isoforms 1, 2, and 3 were not species-specific, e.g. they also recognized the corresponding proteins in rat, whereas that against the human PMCA isoform 4 failed to do so. The tissue distribution of the four isoforms was estimated by Western blot analysis. Two, PMCA1 and PMCA4, were expressed in all tissues tested (with the exception of the choroid plexus, where the former was not detected). In most tissues the signal from the PMCA1 protein exceeded that of PMCA4, the exception being the erythrocyte. The PMCA2 and PMCA3 proteins were only found in neuronal tissues; the PMCA2 protein was present in high concentrations in the cerebellum and in the cerebral cortex. At variance with previous results on mRNA (e.g. the kidney) no other tissues contained the PMCA2 protein. PMCA3 was the other tissue-specific isoform; in agreement with results in the rat, the protein was found in human neuronal tissues, particularly in the choroid plexus, but was practically absent in all other tissues tested.
The Promoters for Human and Monkey Poliovirus Receptors

The cellular receptors for poliovirus (PVR) are glycoproteins belonging to the immunoglobulin superfamily. Functional receptors for poliovirus are only expressed by primates; known rodent homologues lack the ability to bind virus due to amino acid differences. Human poliovirus infections are targeted to the gastrointestinal tract and, rarely, to motor neurons in the central nervous system. Available evidence suggests that poliovirus uses only one cellular receptor, implying that the tissue tropism of poliovirus is likely to be related to the expression of the human PVR (hPVR). However, low levels of expression of hPVR-specific mRNAs can be detected in many human tissues other than the apparent target cells. The nonpathogenic function of hPVR is unknown. For a study of the transcriptional control of hPVR expression, we have isolated and characterized the promoter of the hPVR gene. Deletion analysis defined an approximately 280 base pair minimal promoter fragment that: 1) lacks TATA- and CAAT-like elements, 2) is distinguished by a high GC content, and 3) promotes transcription at multiple start sites. The pattern of activity caused by transfection of serial 5′- and 3′-promoter deletions is almost identical in HEp2, HeLa, COS-1, and mouse L929 cells, indicating a similar transcriptional regulation of the hPVR promoter in these cell lines. However, on transfection of Raji cells, a Burkitt's lymphoma cell line harboring a transcriptionally inactive hPVR gene, all promoter reporter constructs tested exerted only residual activity. These results suggest that the cis-element(s) governing cell type-specific hPVR expression resides in the minimal promoter region. We also report the sequences of the promoters of two monkey homologues to hPVR (AGMα1 and AGMα2). Transcripts encoding the monkey poliovirus receptors originate from a region analogous to that identified for hPVR transcripts.
Determinants of Internal Audit Effectiveness (IAE) in the Ethiopian Public Enterprise, Case of Southern Region

Due to political, technological and economic changes in the last decades resulted in the rise of business risks, the economic instability and the important increase of financial fraud scandals have necessitated the use of internal audit for companies (Bekiaris et al., 2013; Vinary and Skaerbaek; 2014; Tsipouridou and Spathis, 2014; Gbadago, 2015). Therefore, it is of great importance to identify the factors affecting internal audit in order to be effective. Previous studies have used different approaches to investigate internal audit effectiveness, as effective internal audit is influenced by series of factors. Moreover, factors and measurement of internal audit effectiveness have been used differently by the researchers (Arena and Azzone, 2009) and until now, there is no consensus regarding the most appropriate framework for internal audit effectiveness (Endaya and Hanefah, 2013). Thus, effectiveness of internal audit is a dynamic process and a matter of considerable debate.Public sector offices are part of the public body which is partly or wholly financed by government budget and concerned with providing basic government services to the whole society (Ministry of Finance and Economic Development (MoFED, 2004). The compositions of the public sectors are varied by their function and purposes, but in most cases, they are designed in order to enable the public sectors to achieve their goals. The public sector provides services such as banking service, financing, education, communication service, healthcare, police, transportation, electric services, security and so on, which benefit all of the society and encourage equal opportunity to benefit from those services provided (Mihret and Yismaw, 2007). This research was focused on the determinants of Internal Audit Effectiveness in SNNPR Public sector office found in Hawasa mainly regional government offices. Mostly, the efficiency and effectiveness of the management operations in public sector are ensured by the effectiveness of its employees. Internal audit which are the focus of this study and also the key employee of public offices, are expected to work independently and objectively to enhance high quality of public services, achieve good internal control system, avoid corruption, ensure good corporate governance system, promote accountability and greater transparency (Coram et al, 2008; Van Peursem 2005; Belay, 2007). DOI : 10.7176/JRDM/52-02
An analytical study on determinants of dividend policy with special reference to selected BSE sensex companies

The purpose of the paper is to examine the financial factors determining dividend policy of companies selected under the study. Dividend policy is represented by individually or collectively of dividend per share, dividend yield and dividend payout ratio. The present study’s dividend policy is represented by dividend payout ratio only. Sample companies of the study are listed on BSE in India and the same sample companies are also the part of the constituent companies of BSE sensex. The study has used the data such as DPR, EBIT, total assets, total debt, shareholders equity, retaining earnings, current assets, current liabilities, and profit after tax of 15 companies for the period from 2007/08 to 2016/17 to obtain various ratios such as dividend payout ratio, profitability ratio, growth of the firm ratio, debt-equity ratio, investment opportunity ratio, liquidity ratio and firmsize ratio. These ratios of all selected companies are put in the form of pooled data and are analyzed with the help of pooled OLS model. The results of the study are that except profitability ratio, all other ratios used as independent variables in study are not statistically significant. Hence, profitability ratio is the only ratio among the selected ratios is the determinant of dividend policy of companies selected under study. Keywords: Dividend policy, BSE sensex companies, Determinants of dividend policy, Correlation and multiple regression.
Bone Histomorphometry in Adults With Type IA Osteogenesis Imperfecta

A histologic and histomorphometric analysis was performed on undecalcified bone from 8 adult patients, ages 34 to 64 years, with Type IA osteogenesis imperfecta. Complete histomorphometric data, including static and dynamic parameters of bone remodeling, could be generated on 6 patients, and partial data were obtained from the other 2 patients. Findings in some patients of reduced eroded surfaces and reduced osteoid surfaces suggested low bone turnover. Other findings included normal or slightly reduced labeled surfaces, slightly reduced bone formation rate, decreased cortical thickness, and decreased bone volume. Histologic examination results showed lamellar bone with mature cortical Haversian systems. Trabeculae showed qualitatively normal connectedness despite low trabecular volume. The finding of normal or reduced bone turnover in adults with Type IA osteogenesis imperfecta has not been reported. Earlier histomorphometric studies, performed without correlation with a specific age or phenotype, indicated high bone turnover. The present study suggests that future research should correlate histopathologic changes with specific phenotypes. The finding of normal or slightly reduced bone turnover in Type IA osteogenesis imperfecta may have important therapeutic implications for this phenotype.
Cole-Cole vs Debye models for the assessment of electromagnetic fields inside biological tissues produced by wideband EMF sources

The Cole-Cole model is considered the most reliable fitting tool to describe tissue dielectric properties, but it is not adequate for efficient numerical computation of electromagnetic fields (EMF). On the contrary the Debye model permits very fast computation, but it is not adequate to describe the tissue dispersion in the whole frequency spectrum. In this work we demonstrate that for a large class of actual wideband sources, the Debye model is accurate enough by retaining fast and efficient EMF calculations.
HUMAN TRACKING AND POSE ESTIMATION IN VIDEO SURVEILLANCE SYSTEM

Video surveillance system based on human detection, tracking and human pose estimation assurances to be an important technology for real time applications, including the analysis of human activities. So many applications have been demonstrated regarding this technology but evaluations of some key features are remains challenging. How human being going to be detected that is the challenge i.e. according to body structure, skin color, skeleton, etc. It is very complex because each human being has different human kinematic structure, variation in body size and shape. In the human tracking process occlusions of body parts, inabilities to observe the skeletal motion due to clothing, difficulty segmenting the human from the background these are the challenges. Pose estimation is also challenging because complex interactions between people in the environment, clothing complicates the skeleton structure, and significantly increases the inconsistency of individual human appearance. Some image related components also increases the challenges because limited image resolution, number of ambiguities, and the inability to easily distinguish the parts of a human from occlusion or from the cluttered background. With the prior knowledge some of these challenges are resolved, but some of the problems require clever mathematical and engineering solutions.
Utilitarian, hedonic, collecting, epistemic, and high values as determinants of the attractiveness of premium promotions

Abstract Modern retail is fiercely competitive, forcing grocery retailers to enhance promotions including premium redemption to attract customers. Taiwan’s leading convenience store chains have even established an integrated marketing department to develop unique premium rewards and campaigns that seek to induce customers to spend more or switch from other retailers. However, research on premium attractiveness is relatively scarce despite its importance in determining the success of a premium promotion. This empirical study identifies the premium value hierarchy that drives attractiveness from the consumer’s perspective. It finds that epistemic value is the most important driver behind making a premium reward attractive, which in turn, raises customers’ brand attitude toward the retailer and purchase intention in the retailer’s stores. High premium value can also make a customer develop a positive brand attitude. By contrast, utilitarian, hedonic, and collecting values only indirectly affect a customer’s brand attitude via the epistemic value. In addition, the trading stamps promotion only works with frequent customers; it is not effective in enticing VIP customers. This study provides suggestions on how to develop an attractive premium product and successful trading stamps promotion.
Quick sequential organ failure assessment: big databases vs. intelligent doctors.

In everyday clinical practice, sepsis has always been considered as a “bad infection” accompanied by some form of associated organ dysfunction (1). In recent years, the importance of identifying sepsis early so that it can be treated promptly has increasingly been highlighted. In this context, we need to look for variables that could be used as early indicators of sepsis on the regular floor, before a patient becomes ill enough to require intensive care. The big question to consider when determining the value of such “indicators” is, “what is their sensitivity? ”. If the sensitivity is too low, some patients may be missed, but if too high, too many patients may be “flagged” as possibly having sepsis, making practical implementation impossible. In particular, targeting “infection” is inappropriate, because only a minority of patients with infection will become septic and some septic patients may not have an obvious infection (2).
Fatty liver disease and lifestyle in youngsters: diet, food intake frequency, exercise, sleep shortage and fashion

Fatty liver is associated with alcohol habits and/or overweight/obesity. We challenged several lifestyle features associated with fatty liver and, particularly, with non‐alcoholic fatty liver disease (NAFLD). Among them, sleep shortage as a result of nightlife habits and a preference for plus‐size fashion were assessed. The latter consists of fashionable plus‐sized clothing for actual individuals' size and reflects a frequent attitude of some social or age groups, conceivably indicating more global and widespread trend and behaviour.