Miracle-dz/UniFAR-FTUs huggingface dataset:
Classification and Stage Prediction of Lung Cancer using Convolutional Neural Networks

In recent years, digital image processing is widely used for the medical treatment classification and diagnosis. Lung cancer is the most leading cause of death in all over the world nowadays. Based on the signs and symptoms it can’t be diagnosis and treatment classified at the early stage. However it can be identified through the symptoms like coughing up blood and chest pain, the stages and risk factors of the cancer cannot be identified through the symptoms. The CT scanned lung images should be involved in image classification processing for earlier prediction of stages and treatment diagnosis. In existing, machine learning treatment classification can be done through the SVM classification. In case of large set of training samples, this will not be in accurate manner and it has less accuracy because of improper feature extraction techniques. Thus the performance of the classification based on the segmented features obtained in preceding sections. The extracted fine-grained training data through deep learning are utilized for the classification using Convolution Neural Network (CNN). In this paper, we propose a novel framework to classify both small cell and large cell lung cancer and predict its type and treatment using CNN. It is also concentrates on the preprocessing and segmentation processes to accomplish the accuracy in prediction. The experiment results in Python - TensorFlow with Kaggle image dataset show that compared to state of the art of classification and prediction methods, the proposed scheme can obtain much higher accuracy in type prediction and treatment diagnosis.
CODEN: IJPNL6 DEVELOPMENT OF A SIMPLE HPLC METHOD USING CORE-SHELL PARTICLES COLUMN FOR QUANTIFICATION OF IR3535

A simple, fast, precise and sensitive method for the quantification of IR3535 ® , an insect repellent used in topical formulations, was developed by reversed-phase high performance liquid chromatography. The separation was carried out by using a core-shell silica particles column (Kinetex ® C18, 5 m, 4.6 mm x 150 mm) with a mobile phase consisting of 0.1% formic acid and methanol (40 : 60 v/v) in an isocratic mode at 0.5 ml/min and UV detection at 220 nm. The calibration curve was linear from 10 to 400 M, with regression coefficient r = 0.9999. Limit of detection (LOD) and Limit of quantification (LOQ) were found to be 1 and 10 M, respectively. Precision and accuracy fulfilled the acceptance criteria. This method was validated and may be routinely used for quantitative analysis of IR3535 ® from various topical insect repellent liquid formulations.
Content Based Image Retrieval by Using Interactive Relevance Feedback Technique – A Survey

— Due to rapid increase in storing and capturing multimedia data with the digital device, Content Based Image Retrieval play a very important role in the field of image processing. Although wide ranging studies have been done in the field of CBIR but image finding from multimedia data basis is still very complicated and open problem. If paper provide an review of CBIR based on some of the famous techniques such as Interactive Genetic Algorithm, Relevance Feedback (RS), Neural Network and so on. Relevance Feedback can be used to enhance the ability of CBIR effectively by dropping the semantic gap between low level feature and high level feature. Interactiveness on CBIR can also be done with the help of Genetic Algorithms. GA is the branch of evolutionary computation which makes the retrieval process more interactive so that user can get advanced results from database by comparing to Query Image with its evaluation. The result of traditional implicit feedback can also be improved by Neuro Fuzzy Logic based implicit feedback. This paper covers all the aspect of Relevance Feedback (RF), Interactive Genetic Algorithms, Neural Network in Content Based Image Retrieval, various RF techniques and applications of CBIR.
Re-Inforcement Learning In Multi Agent System With Transfer Learning

Transfer learning is the process that uses the previous task knowledge in the current task to improve the performance of the new task . In reinforcement learning, the agent requires training from the task . Transfer learning use with the reinforcement learning to improve the performance of agent. Transfer learning method is mainly applied on single agent reinforcement learning algorithms. We use the better algorithm for transfer learning with reinforcement learning on multi agent domain. Domain is a real time strategy game (RTS). In multi agent one agent is a cooperative agent and another is competitive agent. In reinforcement learning the agent give limited feedback or information to agent. The main role of transfer learning is that the learning in one task can help to improve performance in another task. In multi agent framework the advice given by agent in one stage can be used in another stage of the system. Our experiment conduct on real time strategy game setup. The result shows that Bias Transfer reduces the training time in the target task and improves asymptotic performance.
QUERCETIN AMELIORATES OXIDATIVE STRESS, NEURAL DAMAGE OF BRAIN AND BEHAVIORAL IMPAIRMENT OF RAT WITH FLUORIDE EXPOSURE Mesram Nageshwar, Kurmeti Sudhakar and Karnati

Excess fluoride causing fluorosis, can enter in to brain, disturb oxidative status and induce neural damage. Quercetin, antioxidant flavonoid stabilizes oxidative milieu of brain by quenching free radicals. The present study aimed to report ameliorative effect of quercetin on NaF induced oxidative stress, histological alterations in the brain and behavioural changes of rats. Rats were divided into four groups. The first group served as normal which received tap water. The second group was intoxicated with sodium fluoride (20 ppm/kg bw) through drinking water. The third group was given 20 ppm sodium fluoride in drinking water, along with treatment of quercetin (20 mg/kg bw) through oral gavage. The fourth group was treated with quercetin (20 mg/kg bw) through oral gavage. All animals were maintained for 60 days. Then, the antioxidant enzyme levels were measured, histopathological and behavioural studies were carried out. The results showed that the quercetin treatment significantly reversed the NaF induced increased lipid peroxidation (LPO) and decreased superoxide dismutase (SOD), catalase (CAT) and glutathione (GSH) levels in the brain homogenate. Quercetin also reversed the NaF induced Maze learning impairment, hot plate latency and histological alterations in cerebral cortex, hippocampal CA1 and CA2 regions in the brain. The study showed that the concomitant administration of quercetin protects rat brain from sodium fluoride induced oxidative stress, neural damage of brain and behavioural alterations. INTRODUCTION: Flavonoids are polyphenol compounds present in plants and vegetables. Pharmacological studies show flavonoids play vital role in human health and have antioxidant properties including cardiovascular protection, cataract prevention and hepatoprotective as well as anticancer activities 1 . Quercetin is a flavonoid present in plants including vegetables, fruits, red wine, barcoli, apples and onions 2 3 .
PERFORMANCE ANALYSIS OF Z-SOURCE INVERTER FED INDUCTION MOTOR DRIVE USING FUZZY LOGIC CONTROLLER

This paper presents z-source inverter fed induction motor drive using fuzzy logic controller. The Z-source inverter is a recently invented a new power conversion concept mainly developed for fuel cell vehicular applications. The Z source inverter system can boost the given input voltage by controlling the boost factor, to obtain the maximum voltage. PWM technique which is used as to given the gating pulse to the inverter switches. The four-switch inverter, having a lower number of insulated gate bipolar transistors (IGBTs), has been studied for the possibility of reducing the inverter cost. These inverters use a unique impedance network coupled between the power source and inverter circuit, to provide both voltage buck and boost properties, which cannot be achieved with conventional voltage source and current source inverters. It has single stage power conversion, high performance, minimal component count, increased efficiency, improved power factor and reduced cost. The obtained AC voltage must be pure sinusoidal but it can’t obtained because the harmonic content are highly present. Higher order harmonics are eliminated by with the help of filters. Here impedance network act as a filter to reduce the lower order harmonics. This paper describes the design of Fuzzy logic controller for Z-source inverter.
A Review Paper On The Performance Analysis Of LMPC & MPC For Energy Efficient In Underwater Sensor Networks

Due to the use of acoustic channels with limited available bandwidth, Underwater Sensor Networks (USNs) often suffer from significant performance restrictions such as low reliability, low energy-efficiency, and high end-to-end packet delay. The provisioning of reliable, energy-efficient, and low-delay communication in USNs has become a challenging research issue. In this paper, we take noise attenuation in deep water areas into account and propose a novel layered multipath power control (LMPC) scheme in order to reduce the energy consumption as well as enhance reliable and robust communication in USNs. To this end, we first formalize an optimization problem to manage transmission power and control data rate across the whole network. The objective is to minimize energy consumption and simultaneously guarantee the other performance metrics.
Band width improvization in Bandstop Double Spurline filter and open stub spurline filter

This paper presents a new type of compact bandstop filter. The proposed filter topology consists of double spurlines and double open stubs. Double spurlines are introduced to a conventional open stub filter for filter circuit size miniaturization and bandstop region improvement. It is clearly shown that the rejection region of the proposed filter is wider and deeper compared to the conventional open stub filter without any cascading circuits or periodic structures. The proposed filter is designed with Computed Simulation Technique (CST). To validate the proposed topology, a compact filter prototype with bandstop centered at 3 GHz is fabricated and transmission coefficient measurements are conducted. Measurements show that there is a rejection region from 1.68 to 5.17 GHz with S21 less than -3 dB. The total length of the prototype equals to 49.2 mm.
EFFECTS OF FIBER NONLINEARITIES ON OPTICAL COMMUNICATION

This paper focuses on the recent research in optical communications and the effects of fiber non linearities in optical communication. Moreover, this paper covers the investigation on characteristics of optical fiber, modelling/analysis of fiber nonlinearities and laser effect on optical fiber in the literature. This paper also provides the information about the parameters, methodology and materials used in optical fiber. Here, most commonly used material is fiber laser and its advantages are increased output power, peak power and optical quality. This paper further describes several types of nonlinearity effects on the basis of various methodologies such as dual parallel Mach–Zehnder modulator (DP-MZM), fiber optical parametric amplifiers (FOPA), Darboux transformation (DT) and scalar finite element method (SC-FEM) and many parameters are also discussed. Their applications are also discussed and relative study of these effects is presented. The primary purpose of this paper is to understand the effects of nonlinearities, and to encourage further research in this area.
Computational analysis to predict role of human microRNAs in Ebola virusgenome

— The Ebola virus is one of the most dangerous viruses in Filoviridae family. It causes fatal hemorrhagic fever in both non-human and human primates. The fatality rate is up to ninety percent. There is no effective treatment against EBOV infection so far. By using host microRNAs, we have explored for potential anti-viral therapeutics against EBOV infection, which may down-regulate viral gene expression in order to suppress viral replication. We have identified eight human miRNAs from eight potential hairpin sequences of EBOV genome. Our study provided an interesting hypothesis that those miRNAs are hsa-miR-3915, hsa-miR-6750-5p, hsa-miR-4452, hsa-miR-4796-5p, hsa-miR-671-3p, hsa-miR-5096, hsa-miR-302c-3p and hsa-miR-2054. We suggested that these hairpin sequences could be use as anti-viral therapeutics to quell the replication of EBOV infection in human.
To Detect and Prevent the anomaly in Network Traffic Based on Statistical approach and α-stable Model

:-- Detecting network traffic anomalies is crucial for network operators as it helps to identify security incidents and to supervise the availability of networked services. Although anomaly recognition has received significant attention in the literature, the automatic classification of network anomalies still remains an open problem. Network administration and security is now one of the most energetic examines areas, among which, research on perceive and identifying anomalies has attracted a lot of interest. Researchers are still worried to find a useful and lightweight method for anomaly recognition purpose. In this Paper our discussion on an approach for anomaly recognition. With novel types of attacks come into view frequently, rising bendable and adaptive security oriented approaches is a severe challenge. Also discussed anomaly detection in network traffic which may consist with to detect anomaly namely flood and flash crowd. Using Techniques are to protect target systems and networks against malicious activities. In this Research proposals in anomaly detection typically follow a four-stage approach, in which the first three stages define the detection method, while the last stage is dedicated to validate the approach method to detect anomalies in network traffic, based on a non restricted α -stable first-order model and statistical hypothesis testing. Here we focus on detecting and preventing two anomaly types, namely floods and flash-crowd . Here we use NS2 simulator to calculate above result .
Methods for Various Illumination Settings using Infrared Thermographic Images

Today’s world has been populated by vast amounts an d v rieties of traffic. In such a scenario, it becomes essential to have intelligent systems which can monitor traffic and extract valuable informati on from the same. Vehicle data, being necessary for many as pects of transportation and traffic engineering, is thus of utmost importance. This paper aims to describe a system that shall det ect and track vehicles in real time, using near inf rared taken from an infrared thermographic camera. While many s uch systems are currently in existence, most of the m use regular cameras with visible light images as input, making the accuracy of such systems dependent of v arying lighting and weather conditions. The robust trackin g system proposed in this paper aims to overcome th is issue by using infrared images instead. The proposed algorithm specifies a basic series of image processing steps on the input from the infrar ed thermographic camera to eliminate noise and other u nnecessary parts of the image. The processed input is then sent to a tracker based on the Continuously Adaptiv e Meanshift algorithm, which then tracks the vehicl es. Thus, traffic detection and tracking can be achieved.
Enterprise Architecture and Services in Cloud Computing: A Survey

— Cloud computing provides services such as software, platform, storage, applications, network, etc, over the Internet based on a pay-as-you-use approach. Cloud computing is a business model or key tool in the IT world. Organizations experience increasing pressure to change or move organization to respond continuously in changing environment. Enterprise Architecture can be used to solve this challenge. With cloud services and deployment models, the organizations can upgrade their existing Information Technology provision. Enterprise Architecture is a layered architecture which helps not only to build Information Technology models but also makes the organization up to date. Enterprise Architecture describes the process for an organization to achieve short-term and long-term goals. Enterprises incorporating appropriate Enterprise Architecture can upgrade their architectures by integrating the existing infrastructure with the Platform as a Service and Infrastructure as a Service support. They can extend 4-dimensions of Enterprise Architecture such as, data, business, application and technology architecture by utilizing the Platform as a Service and Software as a Service. Thus, Cloud Computing can provide a foundation to build new Enterprise Architecture for organization, on demand with cost effective manner.
Post-Processing Approach for Avoiding Discrimination in Data Mining

— Data mining is a technique of automatically searching data for patterns, predictions, descriptions, rules, summary, and classification. It is hidden knowledge used for making decisions and comparison of many different attributes. While gathering helpful data some negative impacts on data use can be happen. Treating people unfairly in some situations is called discrimination. But this is not always against the law. As price discrimination is not a crime but selection of employees may be a crime. In this paper, Post-processing approach which is used to prevent discrimination and to avoid loss of data is applied to adult dataset and evaluated.
Postion Sensorless Direct Torque With Indirect Flux Control Of BLDC Motor In Three Phase Conduction Mode

116 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. Abstract—In this work, an analysis on position senso rless direct torque control of BLDC Motor with indirect flux control have been studied using two level, six switch Voltage Sourc e Inverter (VSI). By adopting the indirect flux control in direc t torque control, the stator flux can be effectively control led in the constant torque region. This scheme is adapted to three phas e conduction mode of VSI. Maximum torque efficiency can be obtain ed in this method since the torque is estimated in the dq refe nce frame. In direct torque with indirect flux control of BLDC in t hree phase conduction mode, the commutation torque ripple can be minimized as well as torque ripple can be effectivel y reduced. Since the scheme is position sensorless, the electr ical rotor position is estimated using stator winding inductanc e, stationary reference frame currents and flux linkages. The vol tage vector selection is set up in the look-up table so that fa st torque response is possible. Since the neutral point of the motor i s not available, conventional 2×3 matrix is replaced by 2×2 Park’s a nd Clarke’s transformations for the balanced systems. The exper imental results are validated in MATLAB/SIMULINK.
Biosensors: A New Era in Disease Diagnosis and Industrial Biosensors: A New Era in Disease Diagnosis and Industrial Biosensors: A New Era in Disease Diagnosis and Industrial Biosensors: A New Era in Disease Diagnosis and Industrial Biotechnology

Biosensor concept and its widespread applications have drawn global research attention. They have been successfully utilized in many ways for the betterment of quality life. Their applications have been spreading in each field starting from simple glucose test to nuclear tests. Here in this present study few applications of biosensors in the field of Disease Diagnosis & Industrial biotechnology have been reviewed. The future of these biosensors is also mentioned at the end considering the recent trends and the literature available on publication web.
High Performance Thin Layer Chromatographic determination of Enalapril maleate Hydrochlorothiazide in Pharmaceutical dosage form

A simple and precise High-performance thin-layer chromatographic (HPTLC) method for determination of Enalapril Maleate and Hydrochlorothiazide (HTZ) in their bulk and tablet dosage forms has been developed and validated. This employs a precoated silica gel 60F254 on aluminium sheets and mobile phase was Ethanol: Toluene in the ratio of 7:3 v/v. having chamber saturation for 20 minutes at room temperature. The TLC plate was run up to 8 cm. Detection was performed at 211 nm. The RF values were 0.52 for Enalapril Maleate and 0.83 for Hydrochlorothiazide. The developed method validated for its accuracy and precision. The LOD and LOQ were found to be 0.015 μg/ml and 0.047 μg/ml 0.018 μg/ml and 0.056 μg/ml, for Enalapril Maleate and Hydrochlorothiazide. The recovery was carried out by standard addition method. The Average recovery was found to be 99.22% and 100.73% for Enalapril Maleate and Hydrochlorothiazide respectively.
AN EXPERIMENTAL STUDY ON USE OF E- WASTE GLASS AS AGGREGATE IN CONCRETE BLOCKS

Utilization of waste materials and industrial by-products is a sustainable solution to environmental and ecological problems. This paper is an attempt to check the reutilization of electronic waste specifically glass waste in concrete and other construction materials. The reuse of inert waste materials is found to have positive impact on the cost of concrete manufacturing. Other indirect benefits include reduction in landfill cost, energy saving and reduction in solid waste. Electronic waste (E-waste) stream generally consists of discarded refrigerators, radios, TVs, Air conditioners, mobile phones, computers and several other electronic gadgets that have become obsolete. Efforts are being made in the construction industry to use non-biodegradable components of E-waste as a partial replacement of the coarse or fine aggregates in concrete. This research work focuses on the utilization of E-waste glass particles in concrete and tests the feasibility of utilizing powdered Electronic glass waste particles as partial replacement of fine aggregate. It is thereby suggested that utilization of this e-waste in concrete will reduce the requirement for conventional fine aggregates thereby resulting in conservation of natural resources.
Identification of Patchouli – Chemical Properties on Oil Purification by Using Acid-Activated Bentonite

This research is aimed at obtaining –oil chemical properties on purification that include solubility in alcohol, total acid, total ester, Fe Content, Patchouli Alcohol Content, Alpha Copaene (C15H24) Content, and purity. The method of research used is Complete Randomized Design (CRD) with factorial design. Two factors has been examined are 1) bentonite activations wit 3 levels; inactivated bentonite, H2SO4-activated bentonite, and HCl-activated bentonite; and 2) the number of bentonite applications wit 5 levels : 1%, 2%, 3%, 4%, and 5%. And analysis of oil coloris made by using UV spectropotometer to see clearness or its transmittance percentage. Acid –activated bentonite by number of bentonite given affects ethanol solubility, total acid, total ester, Fe content, Alpha copaene content, and patchouli alcohol content. H2SO4 –Activated bentonite by 2% given was indicated as te best result by increasing percentage of transmittance from 69% to 81,550%, ethanol solubility 4,050%, total acid 2,120, total ester 7,975, Alpha copaene content 0,04%, Patchouli alcohol content 25,02%, and Fe content 5,864 mg/kg. Keywords— Bentonite; Patchouli Oil; Purification