Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comprehensive Simulation Study of Dual band Planar Inverted-F Antenna

This paper presents a comprehensive theoretical and simulation study of dual band Planar Inverted-F Antenna (PIFA) involving major parameters which may affect the PIFA characteristics. It is found that characteristics of PIFA are affected by a various parameters including the length, width position and height of the top plate, ground plane dimensions, widths and position of shorting pin/plate and width and position of feeding pin/plate. In this paper some of the important parameters like width of feed plate, width of shorting plate, dimensions of top plate and dimensions of slot are studied using simulation software under the multiband antenna concept. These results are very useful for Designing multiband Planar invertedF antennas. Index Terms – Planar inverted F antenna, Multiband antenna, parametric study, Low profile antenna.
Novel Approach of Workflow Scheduling with Deadline Constraint using Pareto Distribution with Hybrid Swarm Intelligence in Cloud Computing

 Abstract: Cloud computing is a latest approach that is growing faster day by day due to its effective feature and security. Cloud computing provide a way to access the data from any place at any time. This feature makes it popular because it reduces the burden of the users. Cloud computing provides the services like infrastructure, platform and software as a service on it. Due to these feature the Size of data on cloud in increased and its effects on the efficiency of cloud. To overcome the problem like this scheduling of task on data is the best option. Workflow scheduling is a challenging task in cloud computing because user requirements and satisfaction is also considered in it, so to reduce the cost, cloud environment, has been deployed in cloud environment, resources will increase but its utilization is another challenge. To maintain & utilize resources in the cloud computing scheduling mechanism is needed. Many algorithms and protocols are used to manage the parallel jobs and resources which are used to enhance the performance of the CPU in the cloud environment. This work Particles swarm Optimization (PSO) and Grey Wolf Optimization (GWO) are used for effective scheduling. This work is based on the optimization of Total execution time and total execution cost. The results of the proposed approach are found to be effective in compare to existing methods. Intelligence optimization Particle Swarm optimization is used which is initialized by Pareto distribution. GWO is used to converge the decision of Virtual Machine (VM) migration by its convergence to minimize cost and time as illustrated by Total execution time (TET) and Total execution cost (TEC) . It is concluded that GWO performs better in compare to existing BAT algorithm.
Immunotherapy for mesothelioma: a critical review of current clinical trials and future perspectives

At the clinical level the role of immunotherapy in cancer is currently at a pivotal point. Therapies such as checkpoint inhibitors are being approved at many levels in cancers such as non-small cell lung cancer (NSCLC). Mesothelioma is a rare orphan disease associated with prior exposure to asbestos, with a dismal prognosis. Various clinical trials for checkpoint inhibitors have been conducted in this rare disease, and suggest that such therapies may play a role as a treatment option for a proportion of patients with this cancer. Most recently approved as a salvage therapy in mesothelioma was granted in Japan, regulatory approval for their use in the clinic elsewhere lags. In this article we review the current pertinent clinical trials of immunotherapies in malignant mesothelioma, discuss the current issues that may affect the clinical outcomes of such therapies and further evaluate potential candidate new avenues that may become future targets for immunotherapy in this cancer.
Amyotrophic Lateral Sclerosis: The Relationship Between Percentage of Body Weight Change and the Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised. A Pilot Study

Objective: To explore the relationship between body weight change and functional decline using the ALSFRS-R. Methods: A retrospective analysis of 68 veterans with ALS was conducted. We used a Pearson’s Product Momentum Correlation to examine the relationship between percentage of body weight change and ALSFRS-R total score change from initial visit to three, six, and nine months of follow-up. Results: The sample was 95.6% male with a mean age of 68.2 years. Over nine months, 38.2% of individuals had a feeding tube placed and 30.2% died. Mean body weight and mean BMI increased from initial visit (82.7 kg and 26.2 kg/m2) to nine months (86.7 kg and 27.4 kg/m2), but not significantly. No deaths occurred in obese individuals (n = 11), while 66.7% of deaths (11 of 19) occurred in individuals with an initial underweight or normal BMI. There was no significant relationship between percentage of body weight change and change in the ALSFRS-R total score from baseline to three months (p = 0.31), six months (p = 0.36), and nine months (p = 0.25). Conclusions: Future research should include multicenter, prospective studies of veterans with ALS and investigate a potential survival advantage of obesity.
Psychological and Social Effects of Pregnancy in Unmarried Young Women in Bui, Northwest, Cameroon

Unmarried status has been associated with low psychological and social wellbeing among young pregnant women, who are very likely to have unintended pregnancies. The current study investigated the psychological and social effects of pregnancy in unmarried young women aged 15 to 24 years in Bui, Northwest Cameroon. It was a cross-sectional facility-based survey and one hundred and eighty-four unmarried young women in six health facilities who met the inclusion criteria were recruited. Data were collected using an interviewer-administered, semi-structured questionnaire and analysed with the aid of SPSS 21.0. Univariate analysis was done for frequencies, means and standard deviations while hypotheses were tested using Chi square test and logistic regression. P value was set at p< 0.05. More than half (52.2%) of respondents were aged 20 to 24 years, 54.3% had never used a contraceptive and 82.1% reported their pregnancy was unplanned. Over half (57.1%) of the respondents reported high levels of anxiety and depression related to their pregnancy, 57.6% had a high perception of stigma and discrimination and 61.8% stopped schooling after discovering they were pregnant. Multivariate analysis revealed that compared to those who wanted their pregnancy, those who did not want their pregnancy had higher odds of experiencing high levels of anxiety and depression (AOR 6.38, 95% CI 2.93-13.88, p=0.00). It also showed that those who were not in relationship with their baby’s father had higher odds of perceiving high levels of stigma and discrimination (AOR 2.22, 95% CI 1.07-4.62, p=0.03). In conclusion, policy makers should intensify efforts to prevent unintended pregnancy among young unmarried women. They should not concentrate all efforts toward preventing unsafe abortion due to unwanted pregnancy, but focus attention also on how to help young women who choose to keep their pregnancy. Adequate and multidisciplinary supervision and support during pregnancy, labour and postpartum period will help promote psychosocial wellbeing among this group. The male partners of pregnant young women should also be empowered to take responsibility.
Mathematical Modelling of Quadruple Tank System

In most of the process industries, the processes are highly non-linear and dynamic. For years these industries relied on only the single loop control to regulate such processes. Design of Multivariable control system is of great demand in the process industries. Systems with more than one actuating control input and more than one sensor output are considered as multivariable systems or Multi-Input-Multi-Output (MIMO) systems. These systems are one in which interactions are not negligible. This paper describes a multivariable process with the mathematical modelling of a laboratory process, the quadruple tank system using which the nonlinearities and uncertainties in industrial process can be analysed. Here the mathematical modelling is done using the First principle. Here steady state analysis and linearization of the quadruple tank system in both minimum and non minimum phase is obtained. Keywords— Linearization, Mathematical model Multivariable control, Non-linear process, QTS.
BACTERIOLOGICAL PROFILE AND ANTIBIOTIC SENSITIVITY PATTERN OF BLOOD ISOLATES FROM NEONATAL ICU OF A TERTIARY CARE HOSPITAL IN NORTH INDIA

Introduction: responsible for approximately 25% of all neonatal deaths in the world. Neonates are at increased risk of contracting infections due to immature immune system. It is difficult in these babies because the clinical features of sepsis are subtle in these neonates. Culture and sensitivity remains the gold standard test to diagnose and treat neonates in this situation. Moreover knowledge of prevalent bac care unit is essential for empirical antibiotic therapy because the treatment of sepsis needs to be immediately started and any delay in starting appropriate antibiotic therapy reason it is important to determine bacteriological profile and antibiotic susceptibility patterns of blood isolates from every neonatal intensive care unit. We conducted this cross sectional study to determine bacteriological pr from neonatal intensive care units of our institute. Aims and Objective: blood isolates from neonatal i Materials and Methods: The blood samples were processed by conventional blood culture and identification of the organism was done by standard bacteriological techn Bauer disc guidelines. Results confirmed by culture in 12.3% (187/1521) cases. predominated being responsible for 76% (142/187) of cases of septicaemia positive organisms in 24% (45/187) cases. Conclusion: particular neonatal intensive care unit is a critical step in managing neonatal sepsis. Such knowledge is critical in deciding empirical antibiotic therapy by treating neonatologist. Ou prevalent organisms and provided with sensitivity patterns of the organisms prevalent in neonatal intensive care unit.
Vulnerability and Forensics associated with the Smart Grid: Cyber Attacks

The entire paper will be considered to be a basic guideline for identifying and maintaining the vulnerability that are associated with Smart Grid technology. This paper will be mainly focusing on cyber attacks however arrangement of other types of disruption can also be experienced by Smart Grid technology. The core components like the grid assets and their classification will be discussed throughout the paper. Besides this the types of cyber attacks will also be classified on the basis of protocols and components that are implemented in smart grid. Along with this the basic attack prevention frameworks will be proposed in this technical writing. For better understanding of the paper tables, figures and equation will be provided here.
CTAB Assisted Synthesis and Characterization of Cobalt Doped Titania Nano Material For Degradation of Orange II Under Visible Light Irradiation

ABSTRACT: The present research work describes about the synthesis of mesoporous Cobalt doped TiO2 nanocrystalline material assisted by Cetyltrimethyl ammonium bromide, a cationic conventional surfactant through sol– gel method: 0.5wt. % Co/TiO2-(with CTAB surfactant). The synthesized catalysts were characterized by X-Ray Diffraction (XRD), Ultraviolet-visible Diffuse Reflectance Spectroscopy (UV-Vis DRS), X-ray Photoelectron Spectroscopy (XPS), Field Emission Scanning Electron Microscopy (FE-SEM), Fourier Transform Infrared Spectroscopic Studies (FT-IR), High Resolution Transmission Electron Microscopy (HR-TEM) and Brunauer– Emmett–Teller (BET) Analysis. XRD studies have shown that all catalysts were reported in anatase phase where the crystallite sizes were found to be 14.1 nm and the highest intensity peak was observed at 2θ=25.3 for 0.5wt. % Co/TiO2-(with CTAB surfactant). UV-DRS studies have shown that doping of cobalt ions lead to an increase in the absorption edge wavelength more towards visible light (red shift) and a decrease in the band gap energy of 0.5 eV was observed. From XPS studies the oxidation state of Cobalt was found to be in +2 oxidation state. FE SEM images have shown prominent change in the morphology of the particles where the nanoparticles were found to be irregular and without agglomeration. From FT-IR studies the stretching frequencies showed that the entry of Co into TiO2 lattice was substituitional. TEM images indicated particle size of Co/TiO2-(with CTAB surfactant) with 12.3-13.9 nm and 16.1 nm Co/ TiO2 catalyst (without surfactant). BET analysis for Co/TiO2-(with CTAB surfactant) confirmed the particle size with increase in surface area of 32 (m/g). CTAB played a vital role during the synthesis and resulted in the formation of nanoparticles with reduced size. Evaluation of photocatalytic activity of the synthesized nanomaterials was performed with photo degradation of Orange II a model azo dye pollutant under visible light irradiation. The synthesized catalyst was proved to be effective and has shown higher photocatalytic activity under visible light irradiation. The optimum conditions for the degradation of Orange II dye solution with Co/TiO2 (with CTAB surfactant) were found as 0.5 wt. % dopant concentration at (pH-5), (0.1g) catalyst dosage and for (10 mg • L) initial dye concentration. Presence of CTAB during the synthesis of the catalyst played a significant role in the formation of nano particles with small grain size, high crystallinity, and high specific surface area. The catalysts to exhibit high photocatalytic activity could be attributed to the synergistic effect of decrease in the band gap energy due to doping of cobalt into titania matrix and by employing CTAB surfactant template method.
Noise Reduction using MRF and Block-Based Background Modeling in Dynamic Scenes Input

Summary Identifying the moving foreground object in dynamic scenes and making the analysis of video sequences accurate and powerful is an important process for video surveillance systems. Environmental factors such as environmental noises and sudden light changes are the main factors of the degradation of the background model. Complex algorithms are needed to create a strong background against these factors. In this study, We increased the noise immunity of the background model exposed to environmental noise by applying Markov random field (MRF) to block-based modified KDE (Kernel Density Estimation). We also reduced the storage space requirement with the KDE structure we created in blocks. Thus we have increased the applicability of this structure to a real-time structure.
Expression of Vimentin in Spinal Cord Injury

This study is to explore the expression differences of vimentin in the normal spinal cord tissues and the injured spinal cord tissues. The 15 SD rats were randomly divided into two experimental groups and sham group. Acute spinal cord injury models in experimental groups were performed with Lisa method and the injured spinal cord was collected after getting injured 72h. The method of immunohistochemical stain was applied to observe the expressions of vimentin in the normal spinal cord tissue and the injured spinal cord tissue of rats. The results showed the expression of vimentin was found in both the grey matter and white matter of the spinal cord of rats with a relatively even distribution. In addition, the protein expressions of vimentin in the medium injury group and the severe injury group were obviously higher than the sham group. In conclusion, expressions of vimentin were found in the spinal cord, and expression differences were observed after the spinal cord injury, which indicated that vimentin might play a part in the injured process of the spinal cord. It is poised to be a phase of advancement in the treatment of acute spinal cord injury and the importance of further elucidation of underlying pathophysiological mechanisms of vimentin.
Adjuvant Effect of Aortic Compression and Carbetocin Injection in Management of Primary Atonic Pph to Improve Outcome

Methodology: This retrospective observational study included 724 patients with GA between (37-42) weeks . Patients were allocated into four groups according to managed received. All patients received conventional resuscitative measures gp(1) received 100μg of carbetocin with aortic compression gp(2) received carbetocin injection the same dose listed above, gp(3) manual aortic compression gp(4) received conventional resuscitation.
Preclinical safety assessment and Syzygium campanulatum

1School of Pharmaceutical Sciences, Universiti Sains Malaysia, Minden, 11800 Penang, Malaysia 2Eman Biodiscovery Sdn Bhd, 11800 Penang, Malaysia 3Faculty of Medicine, Department of Pharmacology, Quest International University, 30250, Ipoh, Perak, Malaysia 4ACRF Department of Cancer Biology and Therapeutics, The John Curtin School of Medical Research, Australian National University, Australia A b s t r a c t Syzygium campanulatum consumed medicinal herb and rich in phytochemical content and notable antiangiogenic and anti In this s FTIR and HPLC, phytochemicals content and repeated doses toxicity and mutagenicity effect of the hydroethanolic extract of experimental and control groups and fed with 500, 1000, 2000 mg/kg/day of and 90 days and with a single dose of 5000 mg/kg in acute study. The obtained results showed meta betulinic acid (60.43 mg/g.), total glycol saponins, total phenolics, total proteins, total tannins, and total flavonoids. No mutagenicity was detected in of clinical toxicity and mortality were observed in the experimental groups after 28 and 90 experiment. However, significant (p< 0.05) hematological, and biochemical parameters but they were with rat, therefore not considered treatment Based on these findings the fifty percent lethal dose up to 2000 mg/kg for 90 days, as such
Online image retrieval system based on Markov chain and Relevance Feedback for mining user queries

Today Image retrieval is important concept when we work with different real time applications. Dealing with large database is very tedious task so Annotation Based Image Retrieval is the technique which is used to retrieve the similar images according to the query provided by user. Query may be in the form of image called Content Based Image Retrieval or it may be in the form of text. But content based image retrieval technique having certain limitations in terms of retrieval speed and time. Hence Annotation Based Image Retrieval technique is used to retrieve the images from large database. Relevance Feedback method along with Markov chain method is basically used to speed up the performance of Image retrieval method.
. Hepatol Pancreatic Disord Int J 2018, 1(1): 000101

Nonalcoholic fatty liver disease (NAFLD), has emerged as one of the most common causes of chronic liver disease and is increasingly being attributed to cirrhosis in a large number of patients. NAFLD is characterized by accumulation of fat in hepatocytes without a significant history of alcohol consumption. Since the prevalence of NAFLD is markedly increased in obesity, type 2 diabetes mellitus and dyslipidemia, the role of insulin resistance in the pathogenesis of this disease has been studied and a strong association has been found between insulin resistance and NAFLD. It is now established that NAFLD is the hepatic component of the metabolic syndrome. On the other hand, polycystic ovary syndrome (PCOS) is one of the most common endocrinopathies in premenopausal women. Insulin resistance which is the hallmark of metabolic syndrome, has also been documented in about 50% to 80% of women with PCOS. Over the past few years evidence has accumulated showing an association between nonalcoholic fatty liver disease and polycystic ovary syndrome. The pathophysiologic link and the clinical significance of this relationship are still not very well understood, however, there is sufficient data to support the same. We present here a systematic review of studies which have evaluated this association and have underlined the clinical implications of this co-existence.
Opinion Feature Extraction via Domain Relevance using Zipf Law

- With the advent of internet and technology in social networking and shopping websites, current research area is focused in field of sentiment analysis. Ample of opinion and sentiments are available in electronic text format which allow us the discovery of opinion features from online review. Existing work in the field of opinion mining extract the opinion features only from a single review dataset, disregarding the word distributional characteristics across different review dataset. To overcome this drawback, a method is proposed which identifies opinion features from two review dataset, among which one is the domain specific review dataset, and other domain independent review dataset. To make the difference between two dataset set and its opinion features, Domain Relevance is calculate, which signifies the probability of opinion feature in a given specific domain. Domain Relevance score calculated on domain specific review dataset is called Intrinsic Domain Relevance and on other domain independent review dataset is called Extrinsic Domain Relevance. Zipf law is used as a preprocessing tool which helps to eliminate stop words and give us more precise results. This cross domain classifier helps to improve opinion feature extraction as compared to existing methods.
Heart Failure with Preserved Ejection Fraction: Myth or Reality?

Heart failure (HF) is a complex syndrome characterized by intolerance to exercise, fluid retention and congestive phenomena, and in its later stages has high morbidity and mortality rates. These patients those with preserved systolic function, are referred to as heart failure with preserved ejection fraction (HFpEF). The prevalence of HFpEF varies between 30% and 50% in epidemiological studies [1-3].