Miracle-dz/UniFAR-FTUs huggingface dataset:
Formulation And Characterization Of Nanoemulsion Coatings From Azadirachta indica

An attempt has been made to develop nano emulsion coatings based on Azadirachta indica (neem oil) as a replacement of organic solvent based coatings system in surface finishing industry for environmental protection, and for public health and safety. Neem oil nanoemulsion was prepared using neem oil, tween 20 . A mean droplet size ranging from 31.03 251.43 nm, was formulated for various concentrations of oil and surfactant. The stable emulsion ratio was taken for the study. Coatings on the steel surface were done using electrophoretic deposition method. Different combinations of stabilizers were tried and characterized using AFM. The AFM images confirmed the formation of nano emulsified coatings on steel.
Hepatitis C Viruses-A Case Study

After diagnostic reagents for hepatitis A and B viruses become available it became obvious that there were other causes of transfusion-associated hepatitis. The unknown virus or viruses were dubbed nonA, non-B hepatitis. Thanks to the sophisticated technology of molecular biology we now recognize hepatitis C as the cause of most cases of transfusionassociated non-A, non-B hepatitis. The virus, which has not been cultivated, was eventually characterized by molecular techniques, one of the early triumphs of molecular biology. Surprisingly, the newly characterized agent was found to be most closely related to a group of viruses that are transmitted by arthropods; it is now a genus (Hepacivirus) in the family Flaviviridae. ISSN: 2319-7706 Volume 4 Number 12 (2015) pp. 82-95 http://www.ijcmas. com
Optimized Multi scale Similarity Approach for Images Based on Single Image Super Resolution Framework

— The aim of Super Resolution (SR) algorithms is to produce a High Resolution (HR) image with the help of one or more than one low resolution (LR) image(s) of some real scene. Existing SR algorithms are of 3 types – Interpolation based SR algorithms, reconstruction based and Example learning based SR algorithms. Example based image SR has been recognized as an effective way to produce a HR image using an external training set. However, the effectiveness of these example based SR methods highly depends upon the consistency between the training set and the LR image(s). Single image SR method by learning multi scale self-similarities from an LR image has been proposed for the reduction of the effect created by incompatible high frequency details that are present in the training set. This proposed method is based upon the observation that in the natural images, small patches tend to repeat themselves redundantly many times, both within the same scale and across different scales. And to synthesize the details that are missing, HR-LR patch pairs have to be established using the LR image input and its down sampled version in order to capture the similarities that are present across different scales. Then Neighbor Embedding (NE) algorithm is applied to estimate the relationship between HR and LR image pairs. To completely exploit the similarities across various scales of an LR image, we use the previous resultant images as training examples for subsequent reconstruction process and adopt a gradual magnification scheme to upscale the LR input to the desired size step by step. Further, in order to preserve the sharper edges, we apply non local means (NLM) method to learn the similarity within the same scale. This has also suppressed the aliasing artifacts which are not required in an image.
Do Health Care Providers Differentiate between Daily and Nondaily Smokers when Counseling for Smoking Cessation? Analysis by Race/Ethnicity

Objective: Nondaily smokers (NDS) may not receive cessation counseling due to perceptions that nondaily smoking is less hazardous and that NDS can quit unassisted. We investigated differences in provision of guideline-based cessation services -- i.e., ask, advise, assist, arrange follow-up (“4 A’s”)– by smoker type (NDS and DS) and race/ethnicity as well as the interaction between race and smoker type. Methods: Participants were NDS (smoked 4-24 days in the last 30) and DS (smoked >25 days in the past month) recruited using an online panel. An online questionnaire gathered self-reported data from smokers regarding health care professional-provided tobacco treatment over the last 12 months. The 1587 participants who had at least one doctor visit in the past 12 month included native NDS, converted NDS, light DS, and heavy DS. Results: Multivariable analysis showed that, there were no statistically significant differences on the odds of being asked about smoking between different types of smokers. However, compared to native nondaily smokers, Latino and White converted nondaily smokers (Latinos, AOR = 2.02, 95% CI 1.09, 3.74 and Whites, AOR= 2.33, 95% CI 1.27, 4.29), light daily smokers (AOR = 2.82, 95% CI 1.41, 5.63, and AOR= 3.72, 95% CI, 1.92, 7.22, respectively) and heavy daily smokers (AOR = 4.11, 95% CI 2.01, 8.43 and AOR = 6.85, 95% CI 3.39, 13.81, respectively) had increasing odds of reporting being advised to quit by their health care providers. Among African American smokers, converted nondaily smokers (AOR = 2.11, 95% CI 1.01, 4.44) and heavy daily smokers (AOR = 2.92, 95% CI 1.35, 6.28) were more likely to receive assistance in quitting than native nondaily smokers. Among African Americans, heavy daily smokers’ had greater odds of having follow-up arranged compared to native nondaily smokers (AOR=3.06, 95% CI 1.08, 8.70) and among Latinos, these rates were only statistically significant for converted nondaily smokers compared to native nondaily smokers (AOR= 2.80, 95% CI 1.25, 6.26). Among Whites, light daily smokers had the greatest odds of having their health care provider arrange follow-up (AOR= 10.81, 95% CI 1.37, 85.12) compared to native nondaily smokers. Conclusions: Daily smokers report greater engagement by health care providers compared to NDS with regard to smoking cessation. These findings such suggest the primary care providers are ascribing less risk to NDS than DS. Educational efforts are needed to change this tendency among primary care providers. In addition, the patterns identified were similar across the three ethnic groups studied here.
WIRELESS SENSOR NETWORK SECURITY – AN ANALYTICAL SURVEY

— The researchers are facing numerous unique challenges with the emergence of the sensor networks which is posing as one of the dominant technology trend in the current decade. The sensor networks which are likely composed of hundreds, and potentially thousands of tiny sensor nodes, function autonomous, in many cases, without the access to the renewable energy resources. Some important factors such as cost constraints, need for ubiquitous and invisible deployments will also result in the small sized, resource-constrained sensor nodes. In this paper, we concentrate on the security of Wireless Sensor Networks, since the set of challenges in the sensor networks are much diverse in nature. We have made a depth threat analysis of Wireless Sensor Network and also propose some of the countermeasures against these threats. We also propose some of the security goals for the Wireless Sensor Network. In further, security is more important for the acceptance and the usage of the sensor networks for as many applications.
Predictive Models and Optimization Techniques In Machining of Hardened Steels: A Case Study

A unique behavior is on display in hard turning. The process demonstrates high flexibility and an ability to fabricate the geometry of a complex workpiece in a set. It makes a variety of precision components with substantial potential benefits. Many studies have shown aspects and problems that have to be understood and dealt with if the process is to improve. The main factors affecting the reliability of hard turning are surface integrity and tool wear. The prediction of surface roughness, cutting force, and tool life in machining is a challenging task but necessary for proper optimization of the process. This article presents a brief review of the techniques of modeling and optimization that have significant influence in hard turning.
PDF Forensic Analysis System using YARA

Summary This this paper presents an important enhanced method to detect suspicious PDF files by applying two scanning methods (structure scan and YARA scan), which depend on extracting and pointing out malicious objects that are often used for attacks. This enhanced method will be a great assistant to forensic analysts in analyzing PDF files and detecting malicious content in them. Testing both scanning methods was carried out through conducting several experiments on a real dataset. The results show an improvement for detecting malicious PDF files when applying both methods. The structure scan achieved an accuracy of 99.91% and the YARA scan achieved an accuracy of 98.05%.
THE INFLUENCE OF WC POWDER PARTICLE ON MICROSTRUCTURE AND PROPERTIES OF CEMENTED CARBIDE

The properties of cemented carbide (WC-Co) composite is enhance by using finer particle size powders. The reduction of the particle size improve hardness and flexural strength as well as fracture toughness and wear resistance of the composite. The effect of two different particle size of WC powders are evaluated in term of the microstructure and mechanical properties of the cemented carbide. WC-Co sintered powders are produced using wet mixing process before undergo sintering process at 1300-1400°C under nitrogen-based atmosphere. The physical and mechanical properties of the sintered powders were analysed and it is found that WC-Co using WC powder with average particle size of 1 μm has better properties compared to powder with average particle size of 0.2 μm. However, processing route as well as particle size of cobalt used also should be considered as one of the factors influence the result obtained.
Birth asphyxia-induced brain damage: the long road to optimal reduction and prevention!

Moderate hypothermia (HT) is the only established therapy to reduce birth asphyxia-induced brain injury in (near) term neonates, but it is conceivable that pharmacological add-on therapy during or after HT can further reduce brain damage. This paper summarizes neuroprotective interventions with drugs that have possible potential to do so. We finally discuss the potential role of autologous and allogenic mesenchymal stem cell therapy for the repair of birth asphyxia-related brain injury.
Tetrolets-based System for Automatic Skeletal Bone Age Assessment

This paper presents the design and implementation of the tetrolets based system for automatic skeletal Bone Age Assessment (BAA). The system works according to the renowned Tanner and Whitehouse (TW2) method, based on the carpal and phalangeal Region of Interest (ROI). The system ensures accurate and robust BAA for the age range 0-10 years for both girls and boys. Given a left hand-wrist radiograph as input, the system estimates the bone age by deploying novel techniques for segmentation, feature extraction, feature selection and classification. Tetrolets are used in combination with Particle Swarm Optimization (PSO) for segmentation. From the segmented wrist bones, the carpal and phalangeal ROI are identified and are used in morphological feature extraction. PCA is employed as a feature selection tool to reduce the size of the feature vector. The selected features are fed in to an ID3 decision tree classifier, which outputs the class to which the radiograph is categorized, which is mapped onto the final bone age. The system was evaluated on a set of 100 radiographs (50 for girls and 50 for boys), and the results are discussed. The performance of system was evaluated with the help of radiologist expert diagnoses. The system is very reliable with minimum human intervention, yielding excellent results.
A study of serum iron level and oxidative stress in the steady state of sickle cell of anaemia

Background: Sickle cell anaemia (SCA) is a hereditary disorder, associated with severe haemolytic anaemia, periodical vasooclussive pain, and premature death. Prevalence of SCA is alarmingly high in north Maharashtra comprising districts of Nandurbar, Dhule, Jalgaon and Nashik. Non heme iron and depleted erythrocytic glutathione are associated with generation of free radicals leading to oxidative stress. Oxidative stress may enhance haemolysis by damaging erythrocytic membrane. Aim and Objectives: To evaluate serum iron, erythrocytic MDA and erythrocytic Glutathione in relation with possible markers of oxidative stress in the steady state of SCA individuals. Methods: A total of 90 subjects were recruited in the study including 30 sickle cell trait (HbAS), 30 sickle cell disease (HbSS) and 30 healthy controls. In all subjects serum iron and bilirubin, erythrocytic Malondialdehyde (MDA) and glutathione (GSH) concentration were investigated simultaneously. Results: Serum iron level found significantly (p
LINEAR FEEDBACK SHIFT REGISTERS DESIGN WITH PARALLEL ARCHITECTURE

: This project proposes a new parallel architecture for linear feedback shift registers (LFSRs), which can be used to accomplish high-throughput BCH or CRC encoders for storage and communication systems. While previous parallel LFSR architectures have computed values by using the past input messages and the register outputs, the proposed parallel architecture based on the transposed serial LFSR calculates the output by using only the past feedback values. As a result, the proposed architecture reduces the area-time product compared to the recent architecture. Applications of LFSRs include generating pseudo-random numbers, pseudo-noise sequences, fast digital counters, and whitening sequences. Both hardware and software implementations of LFSRs are common. The mathematics of a cyclic redundancy check, used to provide a quick check against transmission errors, are closely related to those of an LFSR.
A Review on Different Methodologies to Counter SQL Injection Attack

Different thing structures join an electronic segment that makes them accessible to people when all is said in done by technique for the web and can open them to a gathering of online attacks. One of these ambushes is SQL blend which can give aggressors unapproved access to the databases. This paper shows an approach for securing web applications against SQL implantation. Configuration matching is a structure that can be used to see or see any anomaly pass on a continuous movement. This paper additionally demonstrates an assertion and evasion technique for ensuring SQL Injection Attack (SQLIA) using Aho-Corasick algorithm matching figuring moreover, it concentrates on various portions that can perceive a couple SQL Injection ambushes
Micropropagation of Dioscorea alata L. (Yam) from Shoot-Tip and Nodal Explants

Dioscorea alata L. (Yam) is a member of genus Dioscorea and monocotyledonous plant belonging to the Dioscoreaceae family which comprises about 600 species. D. alata is an important crop plant that produces tuberous roots used as a source of food and medicine. Inefficiency of traditional methods of propagation and lack of planting materials are the main constraints for implementing large-scale cultivation. In this study, a micropropagation protocol for D. alata has been developed from shoot tip and nodal explants. Explants were sterilized using different concentrations of NaOCl for different time exposure. MS culture media supplemented with different types and concentration of auxins and cytokinins were used for culture initiation, shoot multiplication and root induction. Sodium hypochlorite (NaOCl) at a concentration of 3 and 2% at exposure time of 5 and 20 minutes gave the highest percentages (76.60±0.36%, 72.66±0.85%) of survived explants for nodal and for shoot tip, respectively. BAP at 1.5 mg/L + NAA 1.0 mg/l (93.2%) for nodal and BAP 1.0 mg/l + NAA 1.0 mg/l (87.1%) for shoot tip was found to be an optimum concentration for shoot induction. The combination of 2.0mg/L KIN, 1.0mg/l BAP and with 0.5mg/l NAA was found to be the optimum concentration yielding 8.4 and 9.5 shoots per explants for shoot tip and nodal respectively for shoot multiplication. Half strength MS medium with 2.0 mg/l IBA gave the highest rooting percentage and with 2.0mg/l NAA gave optimum root number and length. Up on acclimatization and transplanting, 90% survival efficiency was observed on soil mix ratio of 2:2:1 decomposed coffee husk, sand and red soil respectively. There were no observable variations with respect to morphology and growth characteristics to the greenhouse raised parent plant. This developed microproppagation protocol permits the development of mass propagation under field conditions for large scale commercial production, and also provide a possible system towards genetic improvement of the crop.
IMPROVED K-MEANS CLUSTERING ALGORITHM - WORKING WITH LABELED DATASETS 1

: Background and Objective: This paper proposes a better and improved K-Means clustering algorithm which deals with datasets comprising of a small amount of labeled data objects and the rest containing unlabeled data. Materials and Methods: The labels provide a fair idea about the number of clusters that the data might amount to. Since majority of the dataset contains unlabeled data, the proposed algorithm also finds the initial cluster points dynamically, by finding data objects that are most dissimilar to the existing cluster points. Results and Conclusion: Thus this version of the K-Means strives to function using less number of iterations due to the availability of labeled information on one hand and also results in a fairly optimal number of clusters present in the given dataset.
PERSONALIZED RECOMMENDATION FOR COLD START USERS

- Recommendation is an information filtering process. The huge collection of data on the internet day by day leads to the development of methods to extract only the useful information. The methods and algorithms to extract this information are dealt in data mining. The process of recommendation is being utilized in e-commerce to improve the sales and to popularize the product. Personalizing the recommendation includes involving the factors such as user interest, interpersonal interest
Ficus benghalensis mediates synthesis of silver nanoparticles: the green approach yields NPs that are its anti-bacterial and anti-oxidant

The current study emphasizes the process of synthesis of nanoparticles from the natural residue that is rapid and eco-friendly. So we present a simple and eco-friendly biosynthesis of silver nanoparticles using Ficus benghalensis fruit extract as reducing agent, rapid reduction of silver ions is observed leading to the formation of silver nanoparticles in solution. The synthesized nanoparticles are characterized using UV-visible spectroscopy, Fourier transform infrared spectroscopy and X-ray diffraction. The silver nanoparticles exhibit significantly maximum zones of inhibition against human pathogens and it also enhance the seed germination growth of Pisum sativum, Cicer arietinum, and Vigna radiate.
Care dependency and non-medical care use in Flanders

Social care needs concern the daily functioning of persons and households in the community, e.g. the performance of instrumental tasks such as shopping and preparing meals, but also personal care tasks such as washing, eating and getting in and out of bed. Persons with specific deficiencies, be it instrumental and/or personal, will tend to adopt specific problem-solving strategies, such as self-help, calling on care from relatives, friends or professional workers (cleaning, household services, personal care, transport). For planning and budgeting purposes, specifically in the context of the introduction in Flanders of social care insurance, it is essential that a reliable estimation is made of the objective social care needs of the population. The Flemish social care insurance scheme not only contributes towards the cost of recognised professional care services, it also offers compensation for informal care provided by a partner, relatives, neighbours or friends. Accurate data about the use of different types of care are therefore also required. In order to arrive at a reliable estimation of social care needs in Flanders, we utilised data on chronic limitations and disabilities from the 1997 Belgian Health Interview Survey (1) and data from a Flemish survey of the aged (75 years or over) conducted in 1994 by the Department of Sociology and Social Policy, UFSIA (2). On this basis, we estimate the total number of care dependent persons in Flanders at approximately 259,000. This total is made up of 128,000 moderately dependent, 44, 000 highly dependent and 79, 000 very highly dependent individuals aged 15 or over, and 8.000 care dependent children. Roughly 80% of those requiring care are 65 years or older. Data regarding care use among the care dependent indicate that by no means all these people call on formal care.
TARGETING TUMOR ASSOCIATED MACROPHAGES (TAMS) FOR CANCER TREATMENT: EXPLOITING MELATONIN AS BIOLOGICAL RESPONSE MODIFIER (BRM)

Immune system regulates homeostasis of the body during normal and pathological condition where macrophages play very important role. They can be polarized in two phenotypes, either M1 or M2 type, depending on the stimuli present in their microenvironment. In cancer conditions, increased infiltration of leukocyte occurs where macrophages dominate and they promote its growth and are known as tumor-associated macrophages (TAMs). These TAMs resemble with M2 type. For cancer treatment, either infiltration of macrophages at tumor site or repolarization of TAMs towards M1type can be targeted. Biological Response Modifiers (BRMs) are potential immuno-modulators that can be used for targeting TAMs. Melatonin could be used as a BRM as it shows the immuno-modulatory property via affecting different players of immune system. In this review, we summarize properties of TAMs and their role in tumor growth and progression and how they can be targeted for cancer treatment using melatonin as BRM.
Studies on ecology of Lepidopteron fauna of Agro-ecosystem in Marathwada region of Maharashtra State (India)

Accepted: 30-03-2015 In the present study we record the maximum number of butterfly species than the species moths viz., family Lycaenidae (15 species), Nymphalidae (10 species), Hesperiidae (8 species), Pieridae (7 species), and from Papilionidae, Danaidae and Acraeidae six, three and one species respectively. In the present study we record 99 species of order Lepidoptera comprising 49 species of moth and 50 species of to butterflies. Moths from this order belong to eight families out of these Pterophoridae and Hyblaeidae consist single species. Family Eupterotidae and Hypsidae constitute with two species family Arctiidae comprises three species and family Sphingidae, Pyralidae and Noctuidae constitute with seven, eleven and twenty two species of moths respectively. Study on the occurrence of cotton bollworm, Helicoverpa armigera and tobacco cutworm Spodoptera litura was conducted by using Pheromones traps.