Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk Taking Behaviour and Career Choice among Youth Aspiring to be an Officer in Indian Armed Force

Due to profusion of opportunities, varied trends of job market and perceived risk associated with career as Officer in Indian Armed force has made it unpopular and unattractive among many adolescents. Rapid economic growth and changing social norms in the society have certainly divided adolescents into aspirants and non-aspirants for this career choice. Career in armed force is characterised by its dynamic nature and pride associated with it. A study was carried out to investigate as whether risk taking behaviour has a role in aspiring to become armed force officer. Studies in past has revealed many factors affecting a career preference such as educational qualification, aptitude, intellect, father’s occupation, interest and many more. In this study risk taking behaviour has been investigated between aspirants and non-aspirants. The result showed that aspirants have more risk taking behaviour than non-aspirants especially in fire and military services areas which demands more risk taking orientation.
Secure Remote Access to Devices in a Smart Grid

Seamless and efficient access to remote devices is imperative in the network operations of a smart grid. Traditional management mechanisms will have to be modified in order to sustain networks such as the ones utilized in the smart grid and the types of devices lying on them. Current multi-domain collaborative environments not only need to have cross-domain authentication measures, it will also be necessary to manage decentralized secure domain interoperation which will make the schemes scalable and more equipped to handle the growing smart grid devices. These networks must also have lightweight and effective entity authentication mechanisms for remote access to the networks. This paper will survey remote access techniques and authentication techniques in the smart grid.
Repositioning Cannabinoids in Recent Drug Discovery and it’s Manifestation in Cancer Therapy

Citation: Gauravaaditya Kulkarni and Anindya Goswami. “Repositioning Cannabinoids in Recent Drug Discovery and it’s Manifestation in Cancer Therapy”. EC Pharmacology and Toxicology 7.7 (2019): 531-534. *Corresponding Author: Anindya Goswami, Cancer Pharmacology Division, Indian Institute of Integrative Medicine (CSIR), Jammu, Jammu and Kashmir, India. Received: May 07, 2019; Published: June 20, 2019
CLASSIFICATIONOF CARDIAC ARRHYTHMIA USING A 2 D CONVOLUTIONAL NEURAL NETWORK

We use Electrocardiogram (ECG) monitoring to detect heart diseases, particularly cardiac arrhythmia. The availability of easy-to-use wearable and high-tech medical devices have made it easy to increase the quantity and quality of ECG recordings. We have proposed a method for ECG arrhythmia classification which converts ECG signals to 2D images and uses a 2D convolutional neural networks (CNN). Deep machine learning, which has been proven as an effective means for supervision complex data analysis with minimal pre-and post-processing requirement, is the main tool in this research. We use our proposed CNN architecture for classifying the ECG arrhythmia into three distinct categories: normal sinus rhythm, paced rhythm, and other rhythm to be classified. The ECG signal is converted into a two-dimensional grayscale image as an input data for the CNN classifier. The proposed CNN architecture employs various deep learning techniques such as batch normalization, data augmentation, and averaging-based feature aggregation across time. We use several image crop techniques for data augmentation and K fold cross validation for overcoming over-fitting. Our preliminary experimental results have successfully sustained that the classifier can attain a classification accuracy of over 90%.
Computational Analysis of Amino Acid Sequences of Hydantoinase and Allantoinase fromSelected Bacteria

: Development of computational tools for the analysis of biological data plays a significant role especially in the field of proteomics. Present work showed computational analysis of amino acid sequences of hydantoinase and allantoinase for their physicochemical properties and substrate specificity.Composition and total number of amino acid clearly indicated the difference between these two subclass of cyclic amino hydrolases. Negatively charged residues were less in allantoinase as well as its instability index was found to be lower, which showed stability. Multiple sequence alignment and statistical analysis proved clear distinction at several positions and shows evolutionary relationship among them. Catalytic triad was the conserved triad in both the hydrolases. Result obtained from this computational study have significanceas it may play role for further selection of hydantoinase and allantoinase from reported or from genome.
Levels of Cadmium, Lead and Zinc in Urine of Randomly Selected Smokers and Non-Smokers Residents of Abeokuta City, Nigeria

Urine samples of 200 male volunteers comprising 100 smokers and 100 non-smokers were analysed for levels of heavy metals using Perkin-Elmer atomic Absorption spectrophotometer model 4600. The levels of Cadmium (Cd), lead (Pb) and Zinc (Zn) in urine samples of non-smokers ranged from 0.34-0.65, 0.037-0.25 and 0.235-0.664 μg mLG , respectively while the corresponding range for smokers were 0.075-0.341, 0.076-0.297 and 1 0.488-1.976 μg mLG . Most smokers respondents had metal concentrations that exceeded the normal urinary 1 levels for each metal. For the non-smokers in age groups 10-19, 20-29, 30-39 and 40-49, the average urinary excretion values of 0.046, 0.050, 0.054 and 0.051 μg Cd mLG ; 0.152, 0.101, 0.094 and 0.138 μg Pb mLG ; 0.433, 1 1 0.515, 0.551 and 0.561 μg Zn mLG were respectively obtained, while for the smokers in age group 10-19, 20-29, 1 30-39 and 40-49, the average urinary excretion values of 0.110, 0.207, 0.216 and 0.330 μg Cd mLG ; 0.145, 0.183, 1 0.203 and 0.182 μg Pb mLG ; 0.563, 1.145, 1.089 and 1.718 μg Zn mLG were obtained. Regression analysis 1 1 show that a significant correlation (r>0.9) exist between metal concentration (Cd and Zn) and duration of smoking period.
Design and Comparison of Quadratic Boost Converter with Boost Converter

In this paper the output voltage in renewable energy sources is improved by using DC-DC converter topology. Basically Boost converter is used for improving the voltage gain. In this converter switching frequency is limited, hence the output voltage is reduced. To overcome this issue, by combining the components of two boost converter by using single switch which improves the switching frequency and output voltage of converter. In this proposed paper for comparing the voltage stress and efficiency by using two converters topology. KeywordsBoost converter, Quadratic Boost Converter, Voltage stress. I.INTRODUCTION In recent years for a great number of appliances dcdc converter topology is employed. Normally in renewable energy system, the system having low output characteristics to recover this demand DC-DC converter topology is implemented. For maintaining the dc output voltage range in PV array and fuel cells, converter can be used to improve the output voltage. But during the switching operation the voltage stress will be raised. While choosing the converter the concentrating features are; when switch is turn on it must attain the zero voltage crossing, when Photovoltaic array is connected to the grid the converter should provide the high terminal voltage for low input range. The converter which gives the high output range at low voltage stress is more efficient. Voltage gain generally based on the duty ratio hence by choosing the passive components the duty cycle ratio can be limited [7]. II. BOOST CONVERTER Boost converter is used to step up the given voltage to the desired voltage. The input to this converter may be from any DC source like rectifiers,solar panel,battaries etc,. The circuit diagram for Boost Converter is shown below, Vin L
A Review on Single Precision Floating Point Arithmetic Unit of 32 bit Number

- Roughly computing has turn out to be one of the most popular computing paradigms in the era of the Internet of things and big data. It takes advantages of the error-tolerable feature of many applications, such as machine learning and image/signal processing, to reduce the resource required to deliver certain level of computation quality. Floating point arithmetic unit is widely used in many areas, especially scientific computation and signal processing. For many application signal processing and graphic it is acceptable to trade off some accuracy for faster and better implementations. Multiplication is the second basic operation of arithmetic Floating point unit. FPU may be a part of ADP system specially designed to hold out operation on floating purpose variety. Floating point unit is widely used in many areas. This paper shows review of IEEE 754 standard floating point arithmetic unit which will perform multiplication, addition and subtraction function on 32bit operand. A system’s performance is usually determined by the performance of the multiplier, because the multiplier is usually the delay element in the system. Single-precision floating-point IEEE-754 customary Adder/Subtractor and number modules with high speed and space economical square measure best owed. The arithmetic operations square measure performed on the many a part of the IEEE format.
Antibiotic Cement Impregnated Nailing in Management of Infected Non-union of Femur and Tibia

1Senior Assistant Professor, Department of Orthopaedics, Institute of Orthopaedics and Traumatology, Madras Medical College, Chennai, Tamil Nadu, India, 2Director and Professor, Department of Orthopaedics, Institute of Orthopaedics and Traumatology, Madras Medical College, Chennai, Tamil Nadu, India, 3Senior Clinical Scientist, Department of Clinical Research, Dr. Agarwal’s Healthcare Limited, Tirunelveli, Tamil Nadu, India
EFFECT OF ZnO NANOPARTICLES ON AST ACTIVITY IN GINGIVAL CERVICULAR FLUID OF CHRONIC PERIODONTITIS PATIENTS: IN VITRO STUDY

Medical applications of nanoparticles (NPs) have been studied in different areas to estimate the effect of these nanoparticles on the studied parameters. In this work, the effect of ZnO NPs on Aspartate aminotransferase (AST) activity in Gingival Cervicular Fluid (GCF) of patients with chronic periodontitis was studied. GCF samples of 25 persons, aged (30-60) years with chronic periodontitis were collected as patients group. Powder of ZnO NPs (< 80 nm) was used in this study. The AST enzyme activities in GCF were estimated in patients group without ZnO NPs as a relevant biomarker of chronic periodontitis. The effect of ZnO NPs on AST activity in GCF of patients with chronic periodontitis was evaluated in terms of group with NPs. AST activity was estimated by colorimetric method. Results were showed that AST activity in patients group with ZnO NPs was higher than its activity without ZnO NPs. The effect of ZnO NPs on AST activity in GCF may be attributed to the vital role of ZnO NPs in resistance of the pathogens, in another hand, this effect may be reflects the conformational changes on protein structure after interaction with ZnO NPs.
Role of Oxidative Stress in Male Infertility

Male factors has been considered a major contributory factor to infertility, along with conventional causes of male infertility such as varicocele, cryptorchidism, infections obstructive lesion cystic fibrosis, trauma a new, yet important cause has been identified, oxidative stress( OS). The excessive generation of reactive oxygen species (ROS) by abnormal spermatozoa, leukocytes can cause damage to sperm. Mammalian spermatozoa membrane is very sensitive to ROS attack as they are rich in polyunsaturated fatty acids. ROS attacks the fluidity of sperm membrane, damages mitochondria & DNA integrity. OS has been defined as one of the etiological factor in male infertility. In this article, we discuss the need of ROS in normal sperm physiology, the mechanism of ROS production, lipid peroxidation & its implications on sperm function. We also highlight the depletion of antioxidant system due to overproduction of ROS & need to evaluate oxidative stress as it can be an additional adjunct to routine semen analysis.
Parameterised Comparison of Checkpointing Algorithms for Mobile Distributed Systems

— Most of the man made systems are prone to faults. It is difficult to predict whether the system will continue to perform throughput or till prescribed time. Fault tolerance is the property that enables a system to continue properly, in case of sudden, abrupt disconnection in the event of failure of some of its components. Localization, data aggregation, reliability, fault tolerance, scalability & security, energy consumption are the various challenges of the Mobile distributed system. Most of the checkpointing strategies used the mobile service stations to help deal with checkpoints. The operating cost of wireless message transmission is still high. It is again difficult due to disconnections. Hence, to design new checkpoints methods supporting the unique feature totally for mobile networks is the necessity of the hour. This paper gives a summary of checkpointing strategies for mobile networks which are categories on the basis of QOS of wireless networks, based on mobile agents, considering the mobility of MHS and transmission of checkpoints.
A Framework for Detection of Jammers inWireless Sensor Network

Jammers can severely disrupt the communications in wireless networks, and jammers’ position information allows the defender to actively eliminate the jamming attacks. Thus, in this first phase aim to design a framework that can localize one or multiple jammers with a high accuracy. Most of existing jammer localization schemes utilize indirect measurements (e.g., hearing ranges) affected by jamming attacks, which makes it difficult to localize jammers accurately. In first phase exploit a direct measurement the strength of jamming signals (JSS). Estimating JSS is challenging as jamming signals may be embedded in other signals. As such, it devises an estimation scheme based on ambient noise floor and validates it with simulation experiments. To further reduce estimation errors, it define an evaluation feedback metric to quantify the estimation errors and formulate jammer localization as a nonlinear optimization problem, whose global optimal solution is close to jammers’ true positions. The proposed explore several heuristic search algorithms for approaching the global optimal solution, and our simulation results show that our error-minimizing-based framework achieves better performance than the existing schemes.
Advanced Filter-Bank Multicarrier System for QAM Signal Transmission and Reception

 Abstract — Due to its various points of interest, orthogonal recurrence division multiplexing (OFDM) has been the broadband remote access innovation of decision for some remote guidelines in the course of the most recent decade. As of late, channel bank based multicarrier systems are rising as one of the distinct options for OFDM for cutting edge broadband remote access systems. In request to fulfill the recommended orthogonality conditions, we perform a sort of piece interleaving for the odd-numbered sub-bearer sifting. The beneficiary structure is the partner to the transmitter. Numerical results appeared that the proposed FBMC-QAM framework has just about the same piece mistake rate (BER) execution contrasted with the FBMC-OQAM what's more, the orthogonal recurrence division multiplexing (OFDM) framework. with the proposed FBMC-QAM, numerous information multiple output transmission plans and channel estimation plans can be used likewise as in OFDM.
An Amend Scheme for BER Performance of WiMAX IEEE 802.16e System

– WiMAX is introduced by the Institute of Electrical and Electronic Engineers (IEEE) which is standard designated 802.16d-2004 (used in fixed wireless applications) and 802.16e-2005 (mobile wireless) to provide a worldwide interoperability for microwave access. At present, telecommunication industries are highly concerned with the wireless transmission of data which can use various transmission modes, from point-to-multipoint links. It contains full mobile internet access. Various applications have already been applied so far using WiMAX, as alternative to 3G mobile systems in developing countries. The paper built a simulation model based on 802.16e-2005 OFDM-PHY baseband and demonstrated in different simulation scenarios with different modulation techniques; BPSK, QPSK and QAM to find out the best performance of physical layer for WiMAX Mobile. All the necessary conditions are implemented in the simulation according to the 802.16e-2005 OFDM-PHY specification. The performance is recorded based on BER, and SNR output through MATLAB Simulation.
Iot Botnet Detection Using System Call Graphs and One-Class CNN Classification

With the rapid development of IoT devices, security risks become clearer in smart houses with the emergence of more types of IoT Botnet. With the development of machine learning technology applied to dynamic analysis methods, the automatic detection of variations of IoT Botnet has many achievements. However, there are still some difficulties such as building Sandbox suitable for IoT Botnet with specific chip architectures, collecting full of malicious behavior, imbalance in dataset,. affecting the accuracy of the learning model. In this paper, the authors introduce method of detecting IoT Botnet through system call of executable file to address some difficulties mentioned above. We edit sandbox environment based on QEMU to collect more monitoring data and focus to system calls behavior of malware. By using the CNN network architecture combined with One-class classification and features extracted from the system call graph, the authors have built a IoT Botnet detection model with an accuracy of up to 97% and F-measure 98.33%
A Comparative Performance Analysis for Classiﬁ cation of Multiclass Motor Imagery Movements

: The effectiveness of Brain-computer interface system (BCI) system is determined by its classiﬁ cation performance. The performance of BCI highly depends on the proper selection of signal processing algorithm and the classiﬁ er. It also decreases with the increasing number of discriminating classes. In this paper, we present the performance analysis of Linear discriminant analysis (LDA) and support vector machine (SVM) using two pre-processing algorithms-multiclass common spatial pattern (mCSP) and thinICA-CSP (thin independent component analysis-common spatial pattern) algorithms using the multiclass motor imagery movements EEG signals. From the experiment; we observed that the combination of thinICA-CSP with LDA performs better than the other combination of pre-processing and classiﬁ ers methods. In overall, the LDA performs better than SVM for discrimination of multiclass movement for BCI competition IV dataset 2 a .
Enzyme Immobilization Using Single-Walled Carbon Nanotubes

The cphA-I gene extracted from Arthrobacter chorophenolicus A6 was cloned, overexpressed, and purified to obtain hydroxyquinol 1,2-dioxygenase (cphA-I) enzyme cleaving aromatic hydrocarbons. The cphA-I enzyme was immobilized onto single-walled carbon nanotubes (SWCNTs) either by physical adsorption and covalent bond. SWCNTs was found to be an effective enzyme support owing to their high surface area for enzyme interaction, small size, good dispersion characteristics in solution, low mass transfer resistance, and effective functionalization at their surface. The Michaelis-Menten model parameters for the free and immobilized enzymes were obtained to examine their activities for the catechol and 4-chlorocatechol as substrates. The results showed that cphA-I enzyme retained a relatively high percentage of specific activity for substrates tested and that the physically adsorbed enzymes exhibited better catalytic efficiency than the covalently immobilized enzymes. This study supported an idea that the enzyme immobilization onto SWCNTs can provide a new enzyme immobilization technique. Keywords—catechol, 4-chlorocatechol, cphA-I, enzyme immobilization, single-walled carbon nanotubes
Using of Untreated and Autoclave-Treated Wheat Germ Meal in Growing Rabbit Diets.

The present study was intended to investigate the influence of using 20% and 40% treated or untreated wheat germ meal in growing New Zealand rabbit diets. A total of 75 weaned New Zealand White rabbits aged six weeks old, with an average initial weight of 659.60±18.84g were divided into five groups with five replicates in each group (three rabbits per replicate). The first group was fed on a basal diet (T1), second and third groups received diets containing Wheat Germ Meal (WGM), as replacement of soybean meal protein, at levels of 20% and 40% and were labeled as T2, T3, respectively. Fourth and fifth groups were fed with 20% and 40% autoclave-treated WGM (T4 and T5, respectively). The trial was continued until 14 weeks of age. The present study was evaluated growth performance, blood parameters, carcass traits, meat quality in different groups and also economic efficiency was calculated. There were insignificant differences in terms of live weight, daily weight gain, carcass weight and dressing percentages among rabbits in groups of T1, T2, and T4. Rabbits in the group of T4 achieved the best feed conversion ratio. Digestion coefficients of crude protein, crude fiber, ether extract, nitrogen-free extract, and nutritive value in terms of digestible crude protein, total digestible nutrition, and digestible energy did not significantly differ between T1 and T4. However, these factors significantly decreased in T3 and T5 compared to T1. Plasma total protein and globulin significantly increased in rabbits of T2 and T4 compared to those fed in T1 group. A significant decrease in total cholesterol and total lipid for rabbits in groups of T4, T5, and T2 was observed. Moreover, rabbits fed on T4 or T2 diets had the highest economic efficiency. Conclusively, the untreated or autoclaved WGM can be used in growing rabbit diets up to 20% for replacing the soybean meal protein, which caused low feed costs without adverse effects on the growth performance of rabbits.
Reduction in Bit Error Rate from Various Equalization Techniques for MIMO Technology

-The effect of fading and interference effects can be combated with equalizer for a MIMO system. MIMO systems exploit the multipath propagation in rich scattering environment using multiple transmit and receive antennas to increase the capacity of a link. The matrix channel plays a pivotal role in the throughput of a MIMO link since the modulation, data rate, power allocation and antenna weights are dependent on the channel gain. In this case independent, identically distributed (i.i.d.) Rayleigh fading MIMO channel with m-transmit and n-receive antennas has been taken, the diversity order is almost same i.e. m x n for ZF, MRC and MMSE-filtering-based decoding. The error probability analysis also yields a design criterion for optimizing transmitt power allocations. This paper analyses the performance of MMSE, ZF equalizer and MRC based receiver for MIMO wireless channel . The BER characteristics for the various transmitting and receiving antennas simulated in MATLAB tool box and many advantages and disadvantages the system is described. The simulation is carried out in signal processing lab, which shows that the MRC equalizer based receiver is a good choice for removing some ISI and minimizes the total noise power. The results show that the BER decreases as the m x n antenna configurations is increased.