Online ISSN: 2515-8260

Volume 4, Issue 1

Volume 4, Issue 1, Winter 2017

PSO-ANN based diagnostic model for the early detection of dengue disease

Shalini Gambhira; Sanjay Kumar Malika; Yugal Kumarb

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 1-8

Large numbers of machine learning approaches have been developed for analysis of medical data in recent years. These approaches have also proved their significance through accurate and earlier diagnosis of diseases. The objective of this work is to develop a diagnostic model for earlier diagnosis of dengue disease. Dengue fever is spread through the bite of the female mosquito (Aedes aegypti). The symptoms of this fever are similar to other fever such as that of Viral influenza, Chikungunya, Zika fever, and so on. However, in this fever, human life can be at risk due to severe depletion of blood platelets. Therefore, early diagnosis of dengue disease can help in protecting human lives by making a preventive move before it turns into an infectious disease. In this work, an effort is made to develop a PSO-ANN based diagnostic model for earlier diagnosis of dengue fever. In the proposed model, PSO technique is applied to optimize the weight and bias parameters of ANN method. Further, PSO optimized ANN approach is used to detect dengue patients. The effectiveness of the proposed model is evaluated based on accuracy, sensitivity, specificity, error rate and AUC parameters. The results of the proposed model have been compared with other existing approaches like ANN, DT, NB, and PSO. It is observed that the proposed diagnostic model is a proficient and powerful model for more accurate and earlier detection of dengue fever

Pros, cons and future of antibiotics

Elroy P. Weledji; Elizabeth K Weledji; Jules C. Assob; Dickson S. Nsagha

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 9-14

The advantages of antibiotics have been most clearly seen in those acute bacterial infections which had a high mortality before the introduction of antibiotics. The reality of the potential harmful effects of antibiotics, both short term in individual patients and long term in favoring emergent resistance and opportunistic pathogens are discussed. Bacterial resistance makes the standard treatments ineffective, and increases the risk of infection spreading. The shortage of novel antibiotics has strengthened the efforts of genome sequencing to control bacterial resistance. The future would include novel approaches, based on a re-conceptualization of the nature of resistance, disease and prevention.

Safety study of autologous adult bone marrow derived mesenchymal stromal cells in idiopathic pulmonary fibrosis - Pilot data

Lakshmi Kiran Chelluria; Upasna Upadhyaya; Ravindra Nallagondab; Sudhir Prasadb; Mohammad Samiuddinb; Rajat Mohantyb; Chandrashekar Mallarpua; Meenakshi Ponnanaa; Sindhoora Rawulc; Eswara Prasad Chelluric

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 15-22

Background: Lung transplantation is the choice of therapy in severe cases of idiopathic pulmonary fibrosis (IPF) but is compounded with post-transplant complications. The paucity of deceased organ donations underlines the need for alternate approaches that improves the quality of life. Herein, we attempted to develop an autologous adult bone marrow derived mesenchymal stromal cell (BMSC) therapy via central line access, and evaluated the safety of a single dose (~13 × 106 cells/mL), in treating “no option” IPF. Method: The study included severe IPF subjects (n = 6) both male and female, aged 40–70 years of age with a forced vital capacity < 50%, diffusing capacity of lung for carbon monoxide (DLco) < 35% of predicted, and/or oxygen (SpO2) saturation < 88% on 6 min walk distance (6 MWD). BMSCs at passage 2 were suspended in 30.0 mL normal saline and dispensed through the central line route in a respiratory intensive care unit of Gleneagles Global Hospitals. The subjects were monitored for the first 24 h for serious adverse events and hemodynamic parameters. They were followed up periodically at intervals of 1, 4, and 9 months for safety and monitoring of adverse events, including secondary objectives of changes in pulmonary function test, DLco, 6 MWD, and quality of life as per the study protocol. Results: It was observed that central line infusions were well tolerated by all subjects. Furthermore, there was an improved quality of life. Conclusions: BMSC central line infusion in “no option” IPF cases provided an insight into the strategies in improving the quality of life for patient and thereby increasing the therapeutic window period for lung transplantation.

Synthesis of a series of new 6-nitrobenzofuran-2-carbohydrazide derivatives with cytotoxic and antioxidant activity

Muhammad Taha; Sadia Sultan; Mohamad Azlan; Syed Adnan Ali Shah; Waqas Jamil; Swee Keong Yeap; Syahrul Imranb; Muhammad Nadeem Akhtar; Seema Zareenf; Nor Hadiani Ismailb; Muhammad Alih

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 23-30

6-nitrobenzofuran-2-carbohydrazide Schiff base derivatives have been synthesized and their structure has been confirmed via H1NMR, Mass spectrometry and elemental (CHN/S) analysis. These synthesized analogs showed significant cytotoxic and antioxidant activity. Doxorubicin (IC50 = 0.94 ± 0.20 μM) and n-propyl gallate (IC50 = 30.30 ± 0.40 μM) were used as standard in cytotoxic and antioxidant activities, respectively. Compound 1 (IC50 = 3.30 ± 0.90 μM), 2 (IC50 = 2.70 ± 0.25 μM), 3 (IC50 = 2.70 ± 0.25 μM), 10 (IC50 = 2.70 ± 1.10 μM), 11 (IC50 = 1.00 ± 1.20 μM), and 17 (IC50 = 3.75 ± 0.90 μM) showed excellent while 21 (IC50 = 7.50 ± 0.60 μM) and 28 (IC50 = 7.50 ± 0.66 μM) showed moderate anti cancer activity. Furthermore, compound 10 (IC50 = 17.50 ± 0.85 μM), 11 (IC50 = 24.20 ± 0.55 μM), 12 (IC50 = 21.10 ± 1.58 μM), 13 (IC50 = 14.60 ± 0.32 μM), 14 (IC50 = 29.20 ± 0.75 μM) and 15 (IC50 = 9.26 ± 0.15 μM) showed better antioxidant activity than the standard n-propyl gallate. This study will be useful to develop potential lead molecules with cytotoxic and antioxidant potential.

Improving disease diagnosis by a new hybrid model

Bikash Kanti Sarkar

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 31-47

Knowledge extraction is an important part of e-Health system. However, datasets in health domain are highly imbalanced, voluminous, conflicting and complex in nature, and these can lead to erroneous diagnosis of diseases. So, designing accurate and robust clinical diagnosis models for such datasets is a challenging task in data mining. In literature, numerous standard intelligent models have been proposed for this purpose but they usually suffer from several drawbacks like lack of understandability, incapability of operating rare cases, inefficiency in making quick and correct decision, etc. In fact, specific health application using standard intelligent methods may not satisfy multiple criteria. However, recent research indicates that hybrid intelligent methods (integrating several standard ones, can achieve better performance for health applications. Addressing the limitations of the existing approaches, the present research introduces a new hybrid predictive model (integrating C4.5 and PRISM learners) for diagnosing effectively the diseases (instead of any specific disease) in comprehensible way by the practitioners with better prediction results in comparison to the traditional approaches. The empirical results (in terms of accuracy, sensitivity and false positive rate) obtained over fourteen benchmark datasets demonstrate that the model outperforms the base learners in almost all cases. The performance of the model also claims that it can be good alternative to the specialized learners (each designed for specific disease) published in the literature. After all, the presented intelligent system is effective in undertaking medical data classification task.

Abstracts: 5th Annual Congress of the European Society for Translational Medicine (EUSTM-2017), 20–22 October 2017, Berlin, Germany

Aamir Shahzad; Randall J. Cohrs

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 48-98

Regenerative medicine is a promising field with the potential to overcome the increasing need for donor organs either by stopping disease progression (e.g. with cells, genes or biologics) or by providing novel organ options. Furthermore, regenerative medicine strategies are unlike other treatments in that they are meant to persevere and treat the underlying injury rather than symptoms. This requires a level of persistence and safety and long term efficacy not always previously required for new therapies. In the past decade, clinicians have been able to utilize cell and gene therapies in unprecedented numbers, but with mixed results. At the same time, scientists have engineered organs (bladder, esophagus and blood vessels) that are considered simple structurally and functionally. However, regenerative medicine is yet to fully succeed with cells or genes or to fabricate fully functional solid organs such as kidneys, livers, lungs, and hearts. Yet, development of organs in the laboratory is proceeding both via 3D printing and use of decellularized scaffolds


M. Kaja Lakshmy, E. Prabhakar Reddy

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 99-103

Tobacco smoking is widely prevalent all over the world and it continues to rise in
developing countries. Smoking has a deleterious effect on pulmonary functions. Smoking
is the single most significant risk factor contributing to the development of Chronic
obstructive airway diseases (COPD). Spirometry by a trained health professional gives an
indication of lung health by measuring airway abnormality. Objectives were to study
pulmonary function test (PFT) in smokers and non-smokers Tobacco smoking, in the form
of cigarettes, has a deleterious effect on the health, mainly on the pulmonary functions.
Smoking is highly associated with an abnormal PFT. Cessation of smoking should be
encouraged and PFTs from time to time in asymptomatic adults both smokers and nonsmokers
will be useful for early identification of abnormalities.



European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 104-111

In this technology, an power densities is measuring into watts per square millimetre as a raises to alarm rates, power managements are become an importance aspects of nearly each categories of the designed & applications. Reduces the power consumptions & in excess of on chips power managements is the key challenging into deep sub-micron meters nodes as increases complex. Power managements required at a consider into extremely in the early hours designed stage. Too lower power methods will be employs at every each designed stages, for RTL (Register Transfer Level) and GDSII. These are review papers is described in the different strategy, methodology & power managements technique form lowpower VLSI circuit. In expectations challenged in that may be meets through designs as to designing lowpower higher performances circuit is also discuss. Stateof theart optimized into method at various abstractions level in those targeting designs to lowpower digitals VLSI circuit is verified.



European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 112-119

In today's world, every household is required to have a home security system installed. Before
recently, most doors could be opened using traditional methods such as keys, security cards,
passwords, or pattern locks, but this has changed. Accidents like losing a key, on the other
hand, have resulted in much more concerning scenarios such as robbery and identity theft
than the loss of a key itself. This has progressed to the point that it is now considered a major
problem. In order to overcome this problem, the development of facial recognition technology
was conducted, and the Internet of Things (IoT) was also used in the effective installation of a
door access control system. In addition to serving as the primary controller for face
recognition, the youth system, and the locking system, the Raspberry Pi is also employed as a
tiny computer board that can be programmed. The person who is standing in front of the door
is photographed with the aid of a camera, which is mounted on the wall. If the face is not
recognised by the system, a warning will be generated. Using Internet of Things (IoT)
technology, a user may control the access to a door.



European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 120-128

Living alone in today's world is essential for every human being, but it becomes a
challenge for those who have vision impairments. A person with a visual impairment is
unable to detect or feel the outside environment. These people need certain resources in
order to operate autonomously. With advancements in technology such as mobile
connection and artificial intelligence, it became easier to maintain them in their daily
lives. Our study involves using artificial intelligence, image recognition, and navigation to
provide a workaround for individuals with visual disabilities. Our project is carried out by
building a PI camera on a Raspberry Pi that guides them using TTS, a GPS module, and
the use of a smartphone to traverse the site, as well as a sensor to identify obstructions. It
can also analyze images and convert them into words, allowing them to communicate
more effectively with the rest of the world.



European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 129-135

Foregg, Digital Signal Processing (DSP) is growing with sophisticated capabilities in locally
accessible space applications, thanks to the use of Field Programmable Gate Arrays (FPGA)
and Specific Integrated Circuits for Application (ASICs). Proof of these perplexing systems is
being checked inside tiny timetables and characteristics. It is critical to conduct strict
functional monitoring in order to ensure that these systems operate reliably in all conceivable
run-time scenarios. Even with the use of cutting-edge Hardware Verification Languages
(HVLs) and approaches such as System-Virology (SV) and Universal Verification
Methodology (UVM), improving a mechanized self-checking validation state or test seats,
including the age of bit-exact genius reference values, is a complex and time-consuming task.
This article investigates a utilitarian check method for the DSP-based VLSI setup utilizing SV
and Mat lab. The design of the verify situation, method for integrating Mat lab with SV-based
validation condition, and age of bit-accurate genius references are continuously examined in
detail, in addition to two contextual investigations

Designing of Circular Micro-Strip Patch Antenna by WIMAX


European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 136-144

Micro strip antennas have become very popular in the fields of cell and cell
communications, following RFID programs with the appearance of various simulation
devices. Novice MSA prototypes are being practiced in considered one-of-a-kind patch
configurations, thought at known microwave frequencies of interest regarding exceptional
substrate or high-quality strate mixtures. The overall efficiency patterns of the 3.5 GHz
round patch micro strip reported antenna suitable for Wi MAX packages are investigated
in this research.



European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 145-149

This paper describes the work that was done to design and construct a prototype mine
protection device using a wireless sensor network, with the aim of creating a safety system to
monitor the environmental parameters of the mining region. A overview of the most recent
studies on miner health and welfare, as well as mine safety initiatives, is included. Subsystems
of the test system are then simulated. The hardware consisted of electrical circuits with a
microcontroller as the primary processing unit. A graphical user interface is often used.
Mine Security; Wireless Sensing Networks; WIFI Module; Arduino Mega; LCD Display;

Text Mining Based on Tax Comments as Big Data Analysis Using XGBOOST and Feature Selection


European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 150-157

With the quick improvement of the Internet, enormous information has been applied in a lot of use.
Be that as it may, there are regularly excess or unessential highlights in high dimensional information, so
include determination is especially significant. By building subsets with new highlights and utilizing AI
calculations including Xgboost and so on. To acquire early notice data with high dependability and constant by
applying large information hypothesis, systems, models and techniques just as AI strategies are the unavoidable
patterns later on. this examination proposed the fast choice of highlights by utilizing XGboost model in dispersed
circumstances can improve the Model preparing proficiency under conveyed condition.
GBTs model dependent on the inclination streamlining choice tree was superior to the next two models as far as
precision and continuous execution, which meets the necessities under the large information foundation. It runs
on a solitary machine, just as the conveyed preparing structures Apache Hadoop, Apache Spark.
We can utilize inclination plummet for our slope boosting model. On account of a relapse tree, leaf hubs produce
a normal inclination among tests with comparative highlights. Highlight determination is a basic advance in
information preprocessing and significant research content in information mining and AI assignments, for
example, order.

Motives for Teaching Physical Education as a Career and Participation in Physical Activities' Attitudes

DR.KIRAN, Lavanya

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 158-170

Teachers' opinions regarding physical activity involvement and their motivations for pursuing a career
in teaching physical education will be examined in this research. In order to gather data, two
questionnaires with a total of 98 participants were used. The findings of this research indicated that
participants had a positive outlook on physical activity. There was a combination of internal and
external reasons why people chose the physical education profession, as well. A correlation was found
between participants' views about physical exercise and their motivations for pursuing a career in the
field of physical education

Partially-Metric Distance Hypothesis by Banach


European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 171-174

Matthews introduced the idea of a partial metric area and obtained, among other results, Banak's
contractive map of these distances. Later, S.J. O'Neill generalized Matthews' idea of partial scales,
to establish links between these structures and topological aspects of field theory. Here, we get
Banach's theory of the fixed point of full partial metric spaces in the sense of O'Neill. Therefore,
Matthews fixed point theory remains a special case of our results. Keywords: Dualistic partial
metric, partial metric, complete, quasi-metric, fixed point

Characteristics of in-based carbide include its structural, mechanical, electrical, optical, and thermodynamic properties

Ramulu, Ravi Kumar

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 175-182

Through the use of first-principles calculations based on the density functional theory, we were able
to investigate the structural, mechanical, electrical, optical, and thermodynamic aspects of
antiperovskite compounds M3InC (where M=Y and La) (DFT). According to the experimental
results, the optimised lattice parameters are in excellent agreement. The elastic property that was
noticedThe constants are all positive, demonstrating the mechanical stability of all of these stages.
Cauchy pressure, Pugh's ratio, and Poisson's ratio are all measures of pressure.The brittleness features
of these compounds should be shown. For each of these stages, it is expected that there would be
dislocation movement.The Peierls stress was used to corroborate this. In the case of M3InC (where
M=Y and La), the anisotropy factor calculated by Zener reveals the anisotropic behaviour.The bulk
modulus and hardness values of Y3InC and La3InC demonstrate the softening behaviour of the
materials. The investigation of the band structureIn addition to diagrams, the density of states (both
the total density of states and the partial density of states) demonstrate metallic behaviour for all of the
elements.compounds. The strong reflectivity of Y3InC and La3InC in the high energy range (8-9 eV)
shows that these materials are attractive candidates for future applications.In the UV energy area,
there is a coating substance. The absorption and conductivity spectra reveal that the absorbtivity and
conductivity of the sample are both excellent.the visible and ultraviolet (UV) spectrums We have also
looked at the Debye temperature, minimum thermal conductivity, and melting temperature.These
compounds' temperature may be calculated from their elastic constants



European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 183-189

This Paper introduces the implementation of different supervised learning techniques for producing accurate estimates of ground water, including meteorological and remotely sensed data. The models thus developed can be extended to be used by the personal remote sensing systems developed in the Center for Self-Organizing Intelligent Systems (CSOIS). To analyze these data and to extract relevant features, such as essential climate variables (ECV), specific methodologies need to be exploited.. The new algorithm enhances the temporal resolution of high spatial resolution of soil moisture observations with good quality and can benefit multiple soil moisture-based applications and research

The performance analysis of high-efficiency and low-power architecture for fuzzily-based image fusion has been carried out in this paper

H.Devanna, K. Sudhakaru

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 190-200

When it comes to image fusion, the wavelet transform is the most generally used method. It combines the information included in the source photos' information in the wavelet domain according to a set of fusion rules, and it is the most widely used method. It is, however, difficult to develop a fair fusion rule because of the uncertainty in the contributions of the source images to the fused image.The capacity to include as much information as possible into the fused image becomes the most difficult problem. ThisWhen developing an image fusion algorithm in this study, the wavelet transform and fuzzy reasoning were applied to aid in the process. In this case, the corners are rounded.The source photographs are identified via the application of a set of fuzzy criteria that are applied to each image. This paper describes in detail the hardware architecture used for fuzzy-based photo put forth as a possible solution. Using the recommended hardware design, resource usage may be reduced, making it especially well suited for low-end computer systems.applications that need a large amount of power There are just two line memory buffers in the design, and they each have a limited amount of computing capability.It minimises complexity, resulting in cheaper hardware costs, and it is suited for a broad variety of real-time applications, including gaming and medical applications. TheIt is estimated that the hardware design will use 4179 gates and will demand a total of 203.27 milliwatts of power.

End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks


European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 201-211

A novel picture super-resolution (SR) technique based on a Convolution Neural Network (CNN) is being developed as part of this project's research. When learning the feature extraction, upsampling, and high-resolution (HR) reconstruction modules at the same time, a deep convolutional neural network (CNN) is created that can be used to rebuild pictures from any source and is completely trainable. If, on the other hand, you want to train a deep network in a straight line from start to end, this is time-consuming and may provide sub-optimal results since it takes a longer time to converge than other strategies. According to our results, an ensemble of deep and shallow networks should be trained at the same time in order to overcome this difficulty. Its stronger representation power, rather than a lower learning capacity, allows the deep network to capture the high-frequency information contained within visual images, rather than the other way around. When utilised in combination with joint training, the shallow network reduces the complexity of deep network optimization by a factor of two, in part because the shallow network is considerably simpler to optimise than the deep network. High frequency characteristics are rebuilt in a multi-scale manner to further improve the accuracy of HR reconstruction. This allows for the simultaneous integration of both short- and long-range contextual information to be included in the reconstruction, which further improves the accuracy of HR reconstruction. The suggested technique has been carefully examined on a variety of commonly used data sets, and when compared to current best practises, it beats them by a significant margin. Large-scale ablation experiments are carried out to establish the contributions of various network topologies to image SR, which results in the finding of new insights that may be used to future study

A crane hook's design and stress values calculation


European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 212-237

Crane Hooks are highly liable components and are always subjected to failure due to accumulation of large amount of stresses which can eventually lead to its failure. To study the stress pattern of crane hook in its loaded condition, a solid model of crane hook is prepared with the help of CAD software. Real time pattern of stress concentration in 3D model of crane hook is obtained.
The present work is directed towards the modeling of a CAD tool called solid works and also analyzed in it by applying force on crane and determining the von misses stresses, after design and calculation of stress values, material selection is happened, and discussed each material properties



European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 238-241

Literature and society are inextricably linked in their pursuit of knowledge. Literature is a reflection of the social, economic, cultural, and political milieu in which it is set. Occasionally, literature has an impact on society, and occasionally, society has an impact on literature. Earlier Indian novels dealt with topics of national importance, as well as social and family difficulties. With A lot of developments have occurred as a result of globalisation. The effects of globalisation are both bad and favourable. problems. When compared to industrialised nations, negative problems outnumber good ones in emerging countries. nations. Materialism and Marxism are intertwined and interdependent on one another. Materialism holds that there is no such thing as a soul

Recent Mimo Wireless System In antenna design schemes

K.Sudhakaru, H.Devanna

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 242-247

Multi-input Multi-output (MIMO) and diversity technology have recently attracted considerable attention in both industry and academia due to high data rates and high spectrum efficiency. The multiple/MIMO techniques can increase the number of antennas on the transmitter and/or receptor side of the wireless link without needing additional power or spectrum in a rich scattering environment. However, the correlation coefficients between MIMO antenna elements are usually very high, due to the small space of mobile devices and the overall efficiency of MIMO elements would be severely degraded by the interconnected connections. Furthermore, the human body causes high electromagnetic waves losses. The presence of users in actual applications could significantly reduce the total efficiency of the antenna, and the correlations of MIMO antenna systems are also greatly affected. This chapter examines the performance of some basic MIMO antennas as well as the recent technologies to improve the performance of MIMO antennas on mobile devices and terminals. In mobile terminal applications, the interactions between MIMO antennas and human body are also targeted.

A Micro strip Patch Antenna for Wireless Communications of Design and Analysis

K.Sudhakaru, H.Devanna

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 258-265

It is critical that the microstrip antenna used for wideband communication be lightweight, easy to build, and small in size in order to be effective. A basic geometrically organised design for the microstrip antenna is required in the present context in order to achieve appropriate broadband performance. Presented here are the findings from a two-dimensional design study of rectangular and square shaped microstrip antennas conducted by the author. In order to feed both antennas, microstrip line was used in conjunction with each antenna. When compared to the rectangular microstrip antenna used in the preceding example, the square-shaped microstrip antenna provides a wider bandwidth and a more acceptable return loss. Small and lightweight, the small antenna is intended to function in the X band of frequencies, where it will be most effective. According to the results of the antenna performance evaluations, the proposed microstrip antenna has a wide bandwidth of 500MHz and a considerable return loss (-24 dB). Because of its huge bandwidth, it may be used in a wide variety of wideband applications in the X- band spectrum

Thermal analysis of cantilever beam


European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 266-284

Structural and modal analysis of carbon steel members exposed to heat loading is the focus of this research. Both the cantilever and fixed-end components undergo theoretical stress and deflection calculations. The effect of deflection and stress on members with varying cross sections but the same cross section area has been investigated as well. Heat stresses and deformations caused by limited mechanical forces are often overlooked while designing structural components. When it comes to mechanical parts, temperature changes may have an impact. In this study, the effects of temperature change on structure are explored.. As it becomes hotter, the material swells, which might affect its structural performance. If you don't take into consideration the effects of limited settings, you might end up with dangerous designs. The structural performance of constructions that are exposed to high temperatures is significantly impacted by this. The major goal of this inquiry is to analyse beam deflection and stress. ANSYS is used to do feasibility studies, which are then compared to outcomes from real-world tests. As the temperature rises, ANSYS is used to investigate how this impacts the structure's mode shape and frequency

Facts about Flexible AC Transmission Systems (FACTS) Controllers: Practical Installations and Benefits


European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 285-292

As a result of FACTS controllers' actual installations, advantages and utility applications, this paper provides a wide range of information. Detailed details on the development of these devices and the first utility installation/demonstration of FACTS devices are provided. Then, a thorough list of important FACTS installations across the globe is shown. Additionally, the article examines how these gadgets might benefit the user and how much they will cost. Various FACTS devices may be used in a deregulated market, according to the report. The FACTS controllers are likewise the subject of discussion. Advanced FACTS controllers have higher losses than their traditional counterparts, and thus must be taken into consideration when designing future power systems. FACTS controller examples and analysis are provided for each major controller in the study

Low Dose Aspirin Therapy and Renal Function in Elderly Patients: An Institutional Based Study

Javed Yusuf Shah, Javed Nilofar Shah

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 293-297

Introduction: The use of aspirin as a pain reliever has been in use for the past 10 years.
Its therapeutic use has also been proven to prevent heart attack and other related
ailments. Elderly individuals who are at greater risk are mostly prescribed low dose
aspirin as an anti-platelet drug to prevent thrombosis.
Materials and Methodology: Aspirin drug with a dose of 100 mg/day was administered
either through oral route or by a nasogastric tube after having breakfast for a period of
2 weeks and then the drug was stopped, and the investigations were continued for a
further 3 weeks. Blood samples and 24hour urine samples were collected every week:
before the administration of first dose of aspirin, and at the end of every treatment
week, and continued for further 3 consecutive weeks after the discontinuity of aspirin
drug. Student’s paired t-test is used to check for the weekly changes of all
measurements compared to baseline, multivariate analysis of variance with repeated
measures (MANOVA) for the overall effect of aspirin drug during the study period.
Results: A highly significant association between the variations from baseline to week 2
in both creatinine and Cu acid was recorded (r = 0.7, P < 0.0001). However, such
correlations were not found between changes in values of C-G and Cu acid. The
decrease in Ccr was also influenced by low haemoglobin levels (R2 = 0.075, P = 0.006)
and by albumin levels with borderline significance (R2 = 0.027, P = 0.08).
Conclusion: The results of the present study might directly reflect that the low dose
aspirin administration in elderly inpatients for a relatively briefer period of time has a
significant effect on their renal tubular function; hence a long-term drug intake may
have some major harmful effect on renal activity. These findings have received a major
necessity to conduct further research in younger and healthier patients and also on
long-term usage of aspirin therapy


Dr Saima Gayas, Dr Aasif Abdullah

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 298-303

Background: Obstetric factors may be responsible for some of the differences in neurologic outcomes seen in the offspring of women with maternal thyroid hypofunction compared with their euthyroid counterparts.
Materials & Methods: 80pregnant women with hypothyroidism were subjected to assessment of thyroid profile that includes T3, T4, TSH, and anti-TPO antibody was performed. Pregnancy outcome was recorded.
Results: There were 25 cases of subclinical hypothyroidism in first trimester and 20 in second trimester. 8 cases of Hypothyroxinemia in first and 7 in second trimester. Overt hypothyroid was seen in 10 in first and 6 in second trimester. There were 5 cases in first and 4 cases in second of euthyroid. The mean parity was 1.2, 1.7, 1.1 and 1.0 in subclinical hypothyroidism, hypothyroxinemia, overt hypothyroid and euthyroid respectively. The mean BMI (Kg/m2) was 24.3, 27.8, 26.8 and 24.1. There were current smokersie. 4, 3, 1 and 5 and prior pregnancy was seen in 5, 4, 2 and 1 in subclinical hypothyroidism, hypothyroxinemia, overt hypothyroid and euthyroid respectively. Maximum cases of miscarriage (2) were seen in subclinical hypothyroidism and gestational hypertension (5) in overt hypothyroidism. Pre- eclampsia (1) was seen in subclinical and overt hypothyroid, pre- term PROM (3) hypothyroxinemia, pre- term labor (2) in subclinical hypothyroidism and 5 cases of gestational diabetes mellitus was seen in hypothyroxinemia.
Conclusion: Overt hypothyroidism in pregnancy is detrimental to the developing fetal brain. Pregnancy outcome showed cases of miscarriage, pre- eclampsia, pre- term PROM, pre- term labor and GDM.


Dr Saima Gayas, Dr Aasif Abdullah

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 304-308

Background:Infertility is one of the most significant problems in gynaecology. The present study was evaluated FSH, LH and prolactin hormones in female infertility.
Materials & Methods: 72 females with infertility were enrolled in group I and age matched healthy controls were included in group II. The levels of serum follicle stimulating hormone (FSH), luteinizing hormone (LH), and prolactin were measured with enzyme-linked immune-sorbet assay (ELISA) methods.
Results: Age group 20-30 years had 20, 30-40 years had 30 and 40-50 years had 22 subjects. The difference was non- significant (P> 0.05). The mean prolactin level was 18.1 ng/ml in group I and 12.5 ng/ml in group II. FSH level was 8.6 mIU/ml in group I and 6.1 mIU/ml in group II. LH level was 7.9 mIU/ml in group I and 5.8 mIU/ml in group II. The difference was significant (P< 0.05).
Conclusion: Infertile females exhibited higher prolactin, follicle stimulating hormone (FSH) and luteinizing hormone (LH)as compared to healthy females.