Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of Quality Characteristics of Nylon-6 in Textile Machine using a Robust Combined Method

Optimization is the one of the techniques used in manufacturing industry to achieve the best output condition, which is the necessary that the industry production at the high quality in the minimum input cost. So there are various optimization metho ds, which one of them is Taguchi approach integrated with fuzzy logic, in this study, this technique was used to find out the optimum value for the process parameter on the textile machine. In this experiment the Taguchi method used on the L27 orthogonal arra y (OA), Fuzzy logic based on multip le performance characteristics index. At a last, optimization of difficult multiple performance characteristics is converted into the optimization of single response performance index. The fuzzy logic applied for an opti mum value in a process parameter like Yarn diameter, RPM, Ply Twist and cable twist, also the response parameters to identify the Breaking Strength (BS) and Yarn length (YL) of the work p iece (nylon 6) on the text ile machine. The confirmation experiments were carried out the optimal results. Thus the machining parameter was optimized for achieving the combined objectives of higher Breaking Strength and yarn diameter. The result shows the confirmation that fuzzy logic is being effective technique t o improve the machining parameter.
Management of millers class III marginal tissue recession associated with endodontic lesion: Report of two cases managed using secondstage surgery

ABSTRACT Introduction: Endo perio lesions are common conditions that are often difficult to diagnose and are persistent if not treated completely. However, if the patient’s history is taken carefully and thorough evaluation of all possible routes of infection is carried out, a properly done endodontic treatment is sufficient to eliminate the infection. However, wherever a secondary periodontal involvement exists, it requires specific therapy to achieve success. Case Series: In the first case, the involved maxillary left first premolar had a severe marginal tissue recession completely exposing the buccal root. The case was further complicated by the presence of an endodontic lesion. After successfully completing endodontic therapy, a free gingival autograft was placed to increase the zone of attached gingiva. Subsequently, a connective tissue graft was placed using pouch and tunnel technique to augment the zone further. The second case had a Millers class III recession associated with an endo perio lesion. This case was managed by using a resorbable membrane with a bone graft substitute to correct the osseous defect in the first stage after a successful endodontic therapy. The second­stage surgery was done using an envelope technique for connective tissue grafting. In both the cases, there was an increase in width and thickness of the zone of attached gingiva following the two­step surgical procedure after a successful endodontic therapy. Conclusion: Successful treatment reported in both the cases can be attributed to a correct diagnosis, successful endodontic therapy and an increased zone of attached gingiva achieved using a two­step surgical technique.
Design Techniques of Microwave Cavity And Waveguide Filters: A Literature Review

This work reviews literatures concerning major techniques used in the design of cavity and waveguide filters particularly for microwave frequencies. Cavity and waveguide filters are widely used where high Q value and high power handling capability are essential. Advances have been achieved in this area in the last few decades. The design processes for each filter are reviewed and accompanied by the simulated and experimental results. A comparison of these filters in terms of passband and stopband performance is discussed. The SIW resonator is compared with other microwave resonators from the viewpoint of tradeoffs between loss and cost. The Qu of an SIW cavity resonator is found to be in the range of 150~1000.
Accuracy of Body Mass Index in Diagnosing Adiposity Compared To Body Fat Percentage Measured By Bioelectrical Impedance in Adults at Al-Najaf Governorate

Background: Obesity is defined as an excess of body fat that is sufficient to affect adversely on health. The Body Fat Percentage (BFP) of a human or other living being is the total mass of fat divided by total body mass. Bioelectrical impedance analysis has been shown to be more precise for determining lean or fat mass in humans, In comparison with body mass index, anthropometric and skin fold methods, Bioelectrical Impedance Analysis (BIA) is commonly used method for estimating body composition, and in particular Percentage of body fat . BIA is known to provide a rapid, non-invasive and relatively accurate measurement of body composition Aim: To evaluate the accuracy of body mass index in diagnosing overweight and obesity compared to percentage of body fat measured by bioelectrical impedance. Subjects and methods: Cross sectional study for adult population age of them range from (18-65) years of both gender selected by using systematic sampling technique from private clinic during the period (1st of March to the 1st November) 2017. For each person measured the height with a regularly calibrated Stadiometer. And according to weight was recorded by bioelectrical impedance machine then enter manually age, gender and height to bioelectrical impedance technique (in body 370 machine) that is used for estimating body composition. The data will be coded and entered into Statistical Package for Social Sciences (SPSS) version 20. Result: A total of 711 subjects had been included in this study, the male: female ratio was 0.35: 1, the mean age of subjects was 31.4 ± 10.58 range (18-65) years there was shows high validity of BMI in detecting excess of body fat as compared to Body Fat percent as a reference test. The sensitivity was 94% and specificity was 96%. For both gender. Also There was a strong and significant positive correlation between percentage of body fat and Body Mass Index and mineral density and Body Fat Mass when p<0.001 in males and females. A positive correlation also was detected between percentage of body fat and age in both genders with waist hip ratio. Conclusion: There is high validity of body mass index in diagnosing overweight and obesity but still there are false positive and false negative cases that should be encountered.
Treatment of Pharmaceutical Industrial Effluent By Microbial Fuel Cell (MFC)

Industrial wastewater presents a potential hazard to natural water system. This wastewater contains organic matter, which is toxic to the various life forms of the system. Industrial wastewater has complex mixture of chemicals whose behavior towards biological system can be different. Treatment of these wastes is therefore of paramount important. Wastewaters produced from pharma Industries pose several problems. Pharma industries are widely been used for the production of wide range of antibiotics, solvents and many by-products which are widely useful for both man-kind and in agriculture purpose. This study was designed a waste water treatment with an aim at minimizing and removing of COD, BOD, dissolved solids and toxic compounds, before it releases into a water body. In the present study efficiency of Microbial Fuel Cells (MFC) in removing contaminants was determined. It was found that MFC is much effective and cheaper method for treating waste water and for the removal of TDS, TSS, BOD, COD, Sulphates and Chlorides. Batch type anaerobic biological treatment plant was constructed and operated for pharma industry waste water treatment. The hydraulic retention time was 12 days. The treated water samples were collected for every 72 hours and tested for its pH, TSS, TDS, COD, BOD, Sulphates and Chlorides to evaluate the efficiency of the plant. The results obtained were quite appreciable as it reduced COD to 91.5% and a small amount of 335mV has also been produced.
Optical Coherence Tomography-Guided Percutaneous Coronary Interventions: From a Research Tool to Clinical Practice

Coronary angiography (CA) is considered the main method to assess severity of coronary artery disease (CAD) and guide percutaneous coronary interventions (PCI). However, the method supports only two-dimensional projections of the contrast-filled vessel lumen and is unable to examine the diseased vessel wall itself. Intravascular imaging (IVI) by means of ultrasound (IVUS) or optical coherence tomography (OCT) may provide the missing information on the vessel wall and improve the PCI guiding. Over the past decade, technical performance (e.g. higher resolution) and procedural aspects (e.g. faster pullback, automatic analysis) of the imaging have progressed remarkably. Moreover, a huge body of scientific evidence from observational studies, randomized trials, and meta-analyses has gathered to suggest that the use of IVI on top of the CA guidance not only enhances procedural results, but also improves long-term clinical outcomes [1]. Thus, the IVI guidance has definitely advanced from a primary research tool to a relatively frequently used adjunctive diagnostic modality in clinical practice [2].
An Efficient Classification Model Based On Hybrid Approach Using ID3, Association, Normalisation, And Entropy For Intrusion Detection System

— malware is kind of software or program that can harm the computer or their normal functioning. As the computational needs is changing their face, in the similar ways the security threads also change their face too. Therefore, the traditional approaches are requires some update, use of traditional approach are suspicious and not able to cover the entire definitions of each kind of malicious code patterns. Therefore an improvement on traditional approach is required to incorporate. In this presented work, it is intended to find an adoptive approach by which the machine can learn and update self from the last learning. Therefore adoptive Learning based techniques are investigated. Those are frequently used for the developing the malware detection techniques first so study on decision tree is performed. During study that is found that the classifiers having some limitations such as poor accuracy. Thus a hybrid approach is proposed to improve the classification accuracy. Thus a new improved Normalized Associated ID3 algorithm is introduced and provide a new classification approach. Both the data models are promising and provide the accurate classification. The implementation of the proposed technique is performed using the JAVA technology and their performance in terms of classification accuracy, time complexity and space complexity is evaluated. According to the obtained outcomes the proposed technique is found accurate and efficient as compared to the respective implemented algorithms.
Real – Time Hand Gesture Tracking for Network Centric Application

This paper focuses on the Real – Time Gesture Tracking for Network Centric Application. In it, human hand gesture was acquired using Kinect depth camera. The user posed in front of the camera about 2 meters away from the camera mounted about 80 cm above ground level. The acquired image is processed to extract the right hand joints vertical and horizontal coordinates, which is transmitted over a network medium. The received information is then classified and assigned to a sub routine that is meant to perform a defined task. Keywords: Real – Time; Gesture; Network; Tracking; Human machine Interaction (HMI)
AUTOMATION OF MULTILEVEL CAR PARKING USING PLC

-Multilevel car parking automation using PLC obtain information about present space for parking. A prototype of paper. Our lifting and sliding mechanism with pinion-rack mechanism for placed and takes car from parking using ABB1131 software with component list and its use. This system is environment friendly and takes less area for more parking.
PROTECTIVE EFFECTS OF CIRCUMA LONGA ON INDUCED GENOTOXIC EFFECTS OF DOXORUBICIN ON BONE MARROWCELLS OF MICE

The anticancer drug Doxorubicin tested for its genotoxic effects in the bone marrow cells of Swiss mice along with Circumin . The end points investigated were chromosomal aberrations in bone marrow cells of male mice. The doses tested were 40mg/kg body weight of mice. Significant percentages of chromosomal aberrations (CA) recorded from bone marrow of each of the Doxorubicin and Circumin treated groups of mice. The results of this present study indicated the decrease the values when compared to the earlier results mice treated only with only Doxorubicin, which proves that circumin reduces the effects induced by the combined drug dosage.
Modeling and Simulation of Photovoltaic Arrays using simple Mathematical Block by Matlab Simulink

In this paper a simple mathematical model using Matlab Simulink block of a solar photovoltaic system is considered for plotting the nonlinear I-V characteristic of photo voltaic cell. The characteristics is plotted with three given points i,e open circuit voltage of the PV array (Voc), short-circuit current of the PV array (Isc) and the maximum power delivered by the PV array (Vmax, Imax), as given by the manufacturer. The graph also validitated for data provided by the manufacturer. In this paper single diode model of photo voltaic cell is chosen for simplicity and temperature effect on the photo voltaic cell is also considered here. The PV array model shows the change of voltage, power and current for different irradiation. From the PV array characteristic curve, for different temperature and irradiation the maximum voltage (Vmax) and maximum current (Imax) at maximum power point that can be obtained from the PV cell are also shown.
Apnea in Neonates - Concepts and Controversies

Apnoea of prematurity (AOP) is a common problem affecting premature infants. Apnoea is defined as cessation of breathing for more than 20 seconds or for lesser duration when associated with bradycardia and desaturation. The most likely and accepted pathogenesis is the “physiologic” immaturity of respiratory control in the neonates. The physiological immaturities include altered ventilatory responses to hypoxia, hypercapnia, and altered sleep states. Other hypotheses include gastroesophageal reflux and anaemia which are still controversial. Three types have been identified namely obstructive, central and mixed types of apnoea. Management options include the use of supplemental oxygen, position chages and drug therapy with methyxanthines. Other supportive therapies include kangaroo care, packed cell transfusions. The long term neurodevelopmental consequences of AOP and its treatment still needs to be studied further.
TRAVEL PACKAGE RECOMMENDATIONS BY USING INTEGRATED APPROACH

- In this paper, we aim to make personalized travel package recommendations for the tourists. Thus, the users are the tourists and the items are the existing packages, and we exploit a real-world travel data set provided by a travels for building recommender systems. We develop a tourist-area-season topic (TAST) model, which can represent travel packages and tourists by different topic distributions. In the TAST model, the extraction of topics is conditioned on both the tourists and the intrinsic features (i
Determination of LD50 and ED50 by dose response relationship and assessment of toxicological and non toxicological behaviour of Ipomoea hederacea

Ipomoea hederacea belongs to the family convolvulaceae used as a phytomedicine [1]. The aim of the present study was to evaluate the toxic and non toxicological behaviour with respect to dose. We also report the LD50 and ED50 in mice, in order to increase the confidence for safe use to humans. Since literature survey indicates the negligence of this herb (Ipomoea hederacea) for its medicinal and pharmacological action, there fore different pharmacognostic and pharmacological experiments were carried out to explore its medicinal value beside its poisonous category.
Experimental Characterization for Wear Rate of Silicon Carbide and Nickel-Base Alloy for Human Implants

365 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. Abstract— Among the available ceramic materials for load bearing bio-implant applications, silicon carbide i s superior for its better biocompatibility, which can increase the lon gevity of prosthetic joints. The major cause of revision surg e y and implant failure is Osteolysis (aseptic loosening of the pro sthetic joint). The product of bearing wear, microscopic particulate deb ris in the joint space leads to implant loosening. Prosthetic joint mainly consists of acetabular cup, acetabular lining and f emoral head. The best material for manufacturing acetabular cup is nickel –base alloy. For manufacturing acetabular lining an d femoral head, silicon carbide is the best chosen material. The acetabular cup or knee cap is prone to catastrophic failures d ue to walking, stumbling etc. A sliding distance test was performed on polished surface of silicon carbide and nickel-base alloy (m irrorlike finish, 1μm) by using Reciprocating Friction Monitor (Courtesy; National Institute of Technology, Srinagar) for the valuation of wear coefficient by standard test procedures and equ ation outlined in ASTM F 603. The test was carried out in ambient te mperature. The results obtained showed drastically reduced wear rates. The experiments on Reciprocating Friction Monitor for Sil icon carbide and nickel –base alloy showed that the best choice for prosthetic joint replacement would be a combination of two materials; silicon carbide for femoral heads and ac etabular lining, and nickel-base alloy for acetabular cup.
Highly pathogenic avian influenza risk, biosecurity and smallholder adversity

There is considerable global concern over the newly emergent H5N1 strain of avian influenza that has affected millions of domestic poultry flocks and resulted in more than 150 deaths in humans. There has been little analysis of the general assumption that smallholder backyard poultry flocks are inherently at higher risk of highly pathogenic avian influenza (HPAI) than confined and commercial scale operations. We utilized data from Thailand, collected in 2004, to test the relative risks of HPAI infection in poultry flocks, by species, type of operation, and geographic location. The results indicate that backyard flocks are at lower risk of HPAI infection compared to commercial scale operations of broiler or layer chickens or quail. These findings are plausible in terms of the opportunities for breach of biosecurity in commercial scale, industrial operations. Both experimental and observational studies in developed country settings have demonstrated the capacity of microbes to enter and leave these larger operations despite the implementation of standard biosecurity measures. Patterns of infection during 2002 Newcastle disease epidemic in Denmark proved further evidence to question that smallholder backyard flocks are at higher risk of epidemic diseases than commercial operations. These results should be considered by policy makers and public health officials when developing plans to control or prevent HPAI in order to limit avoidable adverse effects on the livelihood of smallholder poultry producers in developing countries.
Synthesis of Iron Oxide Nanostructures by Electrochemical Reduction Method and Their Antifungal Application

The nanostructured iron oxide (IONPs) were synthesized by electrochemical reduction method using tetra hexyl ammonium bromide as structure directing agent in an organic medium viz. tetra hydro furan and acetonitrile in 1:4 ratio by optimizing current density 14 mA/cm2. Such nanoparticles were prepared using simple electrolysis cell in which the sacrificial anode was as a commercially available iron metal sheet and platinum (inert) sheet acted as a cathode. The synthesized iron oxide nanoparticles were characterized by using ultra violet–visible spectroscopy, X-ray diffraction, scanning electron microscopy, energy dispersive spectroscopy and transmission electron microscope analysis techniques. The nanoparticles were tested for antifungal activity against human pathogens.
Anomaly-based Intrusion Detection Using Deep Neural Networks

Identification of network attacks is a matter of great concern for network operators due to extensive the number of vulnerabilities in computer systems and creativity of the attackers. Anomaly-based Intrusion Detection Systems (IDSs) present a significant opportunity to identify possible incidents, logging information and reporting attempts. However, these systems generate a low detection accuracy rate with changing network environment or services. To overcome this problem, we present a deep neural network architecture based on a combination of a stacked denoising autoencoder and a softmax classifier. Our architecture can extract important features from data and learn a model for detecting abnormal behaviors. The model is trained locally to denoise corrupted versions of their inputs based on stacking layers of denoising autoencoders in order to achieve reliable intrusion detection. Experimental results on real KDD-CUP'99 dataset show that our architecture outperformed shallow learning architectures and other deep neural network architectures.
Cryptocurrency Price Prediction Using Long-Short Term Memory Model

- Cryptocurrency, is a decentralized digital or virtual currency. Use of cryptography for security makes it difficult to counterfeit. The primary cryptocurrency, the Bitcoin was launched in the year 2009 by Satoshi Nakamoto. Bitcoin, Ethereum, Ripple, Bitcoin cash, Bit connect, Dash, Ethereum Classic, Iota, Litecoin, Monero, Nem, Neo, Numeraire, Stratis, Waves etc. are some of the popular Cryptocurrencies. Cryptocurrencies started to gain attention in 2013 and since then witnessed a significant number of transactions and hence price fluctuations. The cryptocurrency market is just similar to stock market. It has gained public attention and so effective prediction of price movement of cryptocurrency will aid public to invest profitably in the system. This paper tries to predict the price of Cryptocurrencies. Machine learning techniques were implemented and the use of Adam optimizer and Long Short Term Memory (LSTM) network proved very efficient in predicting the prices of digital currencies.
Levels of Zinc, Magnesium and Iron in Children with Attention Deficit Disorder

Background: Attention deficit hyperactivity disorder is a common multifactorial and complex neuro developmental disorder often persisting through adolescence and adulthood. Indications of nutritional treatments with omega-3 fatty acids, and minerals like zinc, magnesium, iron, etc. are gaining importance. We therefore sought to estimate ,and compare the mineral content of zinc, magnesium, and iron in the plasma of ADHD diagnosed children with normal non-ADHD children, and establish a correlation if any with the disorder symptoms.