Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of Autophagy in Immunity, Disease and Pathogen Replication

Autophagy is a cellular homeostasis process which plays an important role in energy balance, especially during critical time such as starvation or nutrient stress. It also prevents the accumulation of damaged organelles or misfolded proteins in cytoplasm through lysosomal digestion. Autophagy recycles superfluous or damaged organelles and utilizes their hydrolyzed products for cellular vital functions. Autophagy also plays an important role in immune response and prevents the invasion of pathogens. However defective autophagy may lead to various diseases. Various pathogens subvert autophagy for their efficient replication. In this current mini review pathogen who exploits autophagy for their replication, autophagy related diseases and natural compound which use autophagy for disease amelioration is highlighted.
Establishing a Remedy for Phenylketonuria Disease from Indian Ayurvedic Herbs

The phenylketonuria (PKU) disease is an inherited disorder that increases the levels of a substance called phenylalanine in the blood and if not treated, phenylalanine can build up to harmful levels in the body. People with this disorder can't break down the amino acid phenylalanine. This phenylalanine, then builds up in the blood and brain causing intellectual disability and other serious health problems. It is rare but a serious inherited disorder. The main objective of this study is to establish a remedy for the phenylketonuria disease (novel drug leads for phenylketonuria disease’s receptors viz. ASCL1 gene (achaete-scute family bHLH transcription factor 1), GCH1 gene (GTP cyclohydrolase 1) and MAOB (Monoamine Oxidase B)) using phytocompounds from ayurvedic herbs. To achieve this objective we performed virtual screening with phytocompounds from ayurvedic herbs against the phenylketonuria disease’s receptors followed by ADME studies on the phytocompounds selected by virtual screening. Based on the analysis of the results of virtual screening and subsequent ADME studies on the phytocompounds it is seen that curcumin can be successfully considered as novel drug lead for treating phenylketonuria disease.
Braking system with frictionless fluid: A Review

In this braking system the purpose is to obtained constant braking. This can be done by the frictionless fluid i.e MR fluid (magneto rheological) fluid. In this paper design of brake in such way that to increase the braking torque, to use it according to machine requirements. Magneto rheological fluid is prepared by basic component’s like carrier oil, Magnetic Particle, additive’s. MR fluid is the smart material which get solidify under the application of Magnetic Field This brake can used to slow down the machining speed in the industries, railway
Priority Analysis of Community Complaints through E-Government Based on Social Media

Now days in this modern era of globalization, the development of information and communication technology has offered solutions to improve public service performance. This also provides new innovations for the government to be able to offer the latest solutions in improving its services. This report discusses research based on Presidential Instruction No. 3 of 2003 concerning national policies and strategies for the development of e-Government, various regions began to develop the application. The case is discussed about the application of e government in Tangerang city. LAKSA is a feature for the people of Tangerang City to convey their aspirations, aim to the government can effectively and efficiently fulfill the needs of the city of Tangerang. With this prosperity, the government response is needed in accordance with the level of urgency of the complaints conveyed by the community. This research will compare the methods that can be used to solve this problem, namely Naive Bayes and decision trees
Phylogenetic reconstruction of the narrowleaf cattail Typha angustifolia L . , using the chloroplast maturase K ( matK ) gene sequence

Molecular characterization of the narrow-leaf catta il, Typha angustifolia L. , was carried out using th e chloroplast maturase K (matK) gene sequence. The ma tK gene was isolated from the chloroplast and amplified using the primers: forward matK F 5’ CGATCTATTCATTCAATATTTC-3’ and reverse matK R 5’TCTAGCACACGAAAGTCGAAGT-3’. The amplified produc t was sequenced using the ABI PRISM 3730XL Analyzer. The 879 nucleotide sequences had a GC content of 32.08%. Highlights of the matK gene of T. angustifolia using the data of the align me t of the 6 sequences available in the genebank i s provided in terms of the conserved, variable and si ngleton sites. The nucleotide sequences were also translated into amino acids to compare the patterns of amino acid variation with those of the nucleoti de substitutions. The ratio of transition to transvers ion pairs was 1.25. A Blastn similarity search was conducted and the sequences of other species of Typ ha namely, T. angustifolia, T. latifolia, T. domingensis, and T.capensis together with 4 species of Sparganium, 2 species of Quesnelia and one each of the genus Neoregelia and Billbergia were used to develop a phylogenetic tree. Analysis of the maximum likelihood of 24 different nucleotide subst itution patterns, indicated that the T92+G had the least BIC and AIC scores and therefore considered t he best model for the present data set. The evolutionary tree depicts T.capensis, T.aungustifol ia and T.latifolia to share a common ancestor amon g themselves with T. domingensis being a closely rela ted species. All the species of Sparganium were grouped together in terms of their similar number o f substitutions per site values and all the other remaining plant species formed a different clade.
The Evaluation and Comparison of Thermo-Physical, Chemical and Biological Properties of Palladium(II) Complexes on Binuclear Amine Ligands with Different Anions by DFT Study

As cancer is the top killer diseases in the world, the scientists and researchers have been searching the new drugs and remedy methods. Most of the anticancer drugs are organic compounds which were approved by the FDA while metallodrugs are very rare. In the present time, some palladium and rhodium complexes are going to use as anticancer molecules. The palladium(II) complex has higher anticancer activity against different cancer cell that is why the different amine ligands are considered under theoretical study by the method of density functional theory (DFT) to make a new molecule. Some thermo-physical parameter was conducted such as free energy, entropy, dipole moment, binding energy, nuclear energy, electronics energy, the heat of formation. On the other hand, the chemical reactivity properties like Highest occupied Molecular Orbital (HOMO), Lowest Unoccupied Molecular Orbital (LUMO), HOMO-LUMO gap, ionization potential, electronegativity, hardness, softness and electron affinity, and biological properties like charge density, surface area grid, volume, LogP, polarizability, refractivity, molecular mass were calculated using the DFT method. To make comparative biological properties, different anions such as chloride, nitrate, hydroxide, carbonate and sulfate ions were used as homogeneous and heterogeneous adding.
30nm DG-FinFET 3D Construction Impact Towards Short Channel Effects

Received Aug 28, 2018 Revised Oct 15, 2018 Accepted Oct 29, 2018 This paper presents an investigation on properties of Double Gate FinFET (DG-FinFET) and impact of physical properties of FinFET towards short channel effects (SCEs) for 30 nm device, for which the depletion-layer widths of the source-drain relates to the channel length aside from constant fin height (HFIN) and the fin thickness (TFIN). Virtual fabrication process of 3dimensional (3D) design is applied throughout the analysis. Further to that, its electrical characterization is employed and the ratio of drive current against the leakage current (ION/IOFF ratio) of the FinFET design on the other hand has showcased substantial difference at 563138.35 compared to the prediction made by the International Technology Roadmap Semiconductor (ITRS) 2013. Conclusively, the incremental in ratio has fulfilled the anticipated increment on the drive current (ION) as well as reductions of the leakage current (IOFF). Threshold voltage (VTH) meanwhile has also achieved the nominal prediction that is obliged by the International Technology Roadmap Semiconductor (ITRS) 2013 for which is at 0.676±12.7% V. The ION, IOFF and VTH obtained from the device has evidently met the minimum condition by ITRS 2013 for low power Multi-Gate technology.
A Survey on Superpixel-Based Hand Gesture Recognition Using Static Dataset

: Hand gesture recognition framework got incredible consideration in the current couple of years in light of its complexness applications and the capacity to connect with machine productively through human computer interaction. With the large use of computers Human computer Interaction has become an important part of our daily life. The hardware devices like keyboard, mouse are used for the Human Computer Interaction.This paper exhibits another new superpixel-based hand gesture recognition system based on a novel superpixel earth mover’s distance metric, together with images taken from Kinect depth camera. The profundity and skeleton data from Kinect are successfully used to deliver marker less hand extraction. The hand shapes, relating surfaces and profundities are spoken to as superpixels, which successfully hold the general shapes and shade of the signals to be perceived. In view of this portrayal, a novel separate metric, superpixel earth mover’s distance (SP-EMD), is proposed to quantify the disparity between the hand motions.
Design and Implementation of Real Time Facial Emotion Recognition System

— Computer application such as facial and emotion recognition system used for automatically identifying or verifying a person from a digital image or a video frame from a video source. Facial emotions are naturally used by human beings as one way to share their opinions, cognitive, emotions, and intentions states with others and are therefore important in natural communication. One of the ways to achieve this is by Feature based recognition, which is based on the extraction of the properties of individual organs located on a face such as eyes, mouth and nose, as well as their relationships with each other. Haar cascade are used for detection of eyes, mouth and face. Principal component analysis is used for determining different emotions like sad, happy, surprise, neutral in OpenCV.
Effect of Annealing on Optical Properties of CdS Thin Films

Cadmium sulphide (CdS) thin films have been deposited by using Chemical Bath Deposition (CBD) Technique. Initially bath parameters such as deposition temperature, pH of the precursor, deposition time, molarities of the precursors were optimized for deposition of CdS thin films. The prepared CdS thin films were annealed at different temperatures (100, 200, 300, 400 0 C). As deposited and annealed CdS thin films were characterized by Uv-Visible spectrophotometer. The effect of annealing temperature on interaction of light with deposited material was investigated.
Design of 16 Bit Carry Look Ahead Adder Using Reversible Logic

: The demand of low power high speed circuits are in demand with the increasing universal growth in electronic system and the loss of information is not acceptable as with single loss of a bit information the energy loss is equal to kTlog2 joules/bit. Reversible logic can be of prominent interest to design low power arithmetic and data path units for digital signal processing applications, such as the designs of low power adders, multipliers, FFT, IDCT etc, and quantum computers. Quantum logic gates perform an elementary unitary operation and any unitary operation is reversible, hence quantum networks effecting elementary arithmetic operations must be built from reversible logic components. Thus, reversible logic will also be the immediate requirement to solve DSP problems with quantum computers. And the lowest processing units are adder and subtractor to perform any operation in digital world so in this paper I proposed a carry look ahead adder using reversible logic. And is simulated using Micro-wind 3.1 too on 90nm technology. The delay measured is 47nS and power consumed is . 2mW and area acquired is 245µm 2 .
A Comparative Study of Different Channel Estimation Technique for A Massive MIMO Communication System

— The emerging fifth generation (5G) wireless communication system raises new requirements on spectral efficiency and energy efficiency. A massive multiple-input multiple-output (MIMO) system, equipped with tens or even hundreds of antennas, is capable of providing significant improvements to spectral efficiency, energy efficiency, and robustness of the system. For the design, performance evaluation, and optimization of massive MIMO wireless communication systems, realistic channel models are indispensable. Also, we compare channel characteristics of massive MIMO channel models, such as beam forming, capacity with respect to SNR. The upcoming data traffic growth created by the evolution of smart phones, tablet computers and Machine to Machine (M2M) communication outstrips the capacity increase of wireless communications networks. As a powerful countermeasure, in the case of full-rank channel matrices, MIMO techniques are potentially capable of linearly increasing the capacity or decreasing the transmit power upon increasing the number of antennas. Hence, the recent concept of large-scale MIMO (LS-MIMO) systems has attracted substantial research attention and been regarded as a promising technique for next-generation wireless communications networks. This paper considers pilot-based channel estimation in large-scale multiple-input multiple-output (MIMO) communication systems. Motivated by the fact that computational complexity is one of the main challenges in such systems, we tried to reduce the complexity of the system using different algorithms. The coefficients of the polynomial are optimized to minimize the mean square error (MSE) of the estimate. Finally we discussed the need of LS-MIMO with some of advantages and showed the difference between the capacity range of MIMO and Massive MIMO. By analyzing the results we can observe the changes that had been obtained and can decide the perfect algorithm for channel estimation which gives rise to a good communication system.
Geometrical Attack Classification using DCNN and Forgery Localization using Machine Learning

: Manipulation of images is frequently happening nowadays for false propaganda and also for illegal advantage. Only the manipulation of images are not sufficient as an evidence. These are considered only after valuable forensic investigation. The most common forgeries are copy move and splicing. It is very important to detect the realness of digital images which cause a grave threat to the society. This paper is about copy move, splicing forgery classification of various geometrical attacks. The deep convolution neural network is used to classify images into forged or not forged and also classify which type of forgery is present.
Calorific Value Measurements and Optimization of Waste Cooking Oil Bio-Diesel, Crude Plastic Oil and Their Blends for the Synthesis of Low Cost High Energy Fuels

Centre for Waste Management, Sathyabama University, Chennai-119 dawnrajesh@centreforwastemanagement.com Abstract— Plastic is an artificial polymer which is having a wide application in manufacturing industries and consumer products as it is light weight, economical, strong, convenient and durable. Plastic is a non-biodegradable material because of which it is very harmful to the environment. Plastics have use in various spheres of economy – infrastructure, construction, agriculture, consumer goods, telecommunications, packaging, etc. Because of growing plastic industries the amount of plastic waste has also increased which is a major problem in front of environmental researchers. Currently worldwide accepted technology used for plastic disposal is incineration which releases extremely toxic compounds leading to environmental issues if not handled carefully. Hence an alternate solution to the exponentially growing plastic waste is being analyzed across the globe. Plastic waste can well be handled with pyrolysis, a thermochemical decomposition method. Pyrolysis, a Plastic to Fuel (PTF) technology, is done at a temperature of 4204400C. Oil derived from PTF technology has a complex chemical composition but can be used as a fuel conveniently because of its higher energy density. The bio-diesel obtained from the waste cooking oil is blended in different proportions with crude plastic oil obtained from the pyrolysis process of the plastic waste using ultrasonic vibrator. The calorific values of diesel, Crude plastic oil, Standard bio-diesel and bio-diesel obtained from waste cooking oil are 45,457kJ/kg, 25,353 – 43,496 kJ/kg, 39,011kJ/kg and 37,120.16kJ/kg respectively. Bio-diesel from waste cooking oil synthesized by conventional route blended with crude plastic oil obtained after pyrolysis in different proportion was analyzed for its calorific value and was tested with constant speed 4stroke diesel engine to study the fuel blend performance.
Traffic Light Signal Detection: A Study

This paper presents a study on the use of a monocular video camera for traffic lights detection, in a variety of conditions, including adverse weather and illumination. The study emphasizes on the system incorporating a color pre-processing module to enhance the discrimination of red and green regions in the image and handle the “blooming effect” that is often observed in such scenes. The study also illustrates that the fast radial symmetry transform is utilized for the detection of traffic light candidates and finally false positive results are minimized using spatiotemporal persistency verification over many years
Earning Management Leverage and Firm Performance: Empirical Evidence from Pakistan

Using the regression analysis by taking year and industry impact, we conducted the study to see how debt can be used to mitigate the negative impact of earning management on the performance of the company. We take the sample of non-financial firms from Pakistan between year 2009 to 2015. Our results conclude that firms which are engage in earning management activities by AEM or REM both impacts negatively on the performance of the company. The role of debt has a positive impact on the performance of the company and it can be used by the shareholders to monitor the activities of managers and attenuate the negative impact of earning management activities. We emphasis that company managers are involve in earning management activities in the context of Pakistan and role of debt is important to mitigate its negative impact on firm performance. Keywords: Profitability, Leverage, Earning Management, Pakistan
Multi Label Image Annotation for Weakly Labeled Images using Discriminative Dictionary

Image annotation is one of the classical problem in computer vision. With the popularity of online photo sharing websites automatic image annotation is an interesting service for users. Image annotation tells the objects in an image. This paper presents a multi label image annotation framework for weakly labeled training images by learn the dictionary embedded with semantic label. This achieves the discriminative representation of labels . For this first extract low level features and labels from image and construct a label graph. Then detect the label group by using the subgraph seeking problem. Learn multiple dictionaries to make distinction between the feature representation of each label. Fisher discriminative dictionary learning is used for that. Expand the semantic relationship between the visual words in the dictionary and labels based on the mutual information between them. Find the reconstruction coefficients based on the sparse reconstruction framework. In the test stage compute the reconstruction coefficients and score to the label list. Keywords—Multi-Label Image Annotation, Discriminative Dictionary Learning, Inter Label Correlation Learning, Sparse Reconstruction.
To Enhance the Security of Quick Response Code in Smartphones

: At present with increasing popularity of online shopping debit or credit card fraud . Personal information security are major concerns for customers, merchants and banks specifically in the case of Card Not Present (CNP). Many web applications provide secondary authentication methods i.e., secret questions (or password recovery questions), to reset the account password when a user’s login fails. Today’s prevalence of smart phones has granted us new opportunities to observe and understand how the personal data collected by smart phone sensors and apps can help create personalized secret questions without violating the users’ privacy concerns. And also provide a secure system for barcode-based visible light communication for online payment system using image stenography methodology. Secret-Question based Authentication system, called ―Secret-QA‖ that creates a set of secret questions on the basis of people’s smartphone usage. To develop a prototype on Android smartphones, and evaluate the security of the secret questions by asking the acquaintance/stranger who participate in user study to guess the answers with and without the help of online tools meanwhile observe the questions reliability by asking participants to answer questions.
Design of Low Power Resistive Random Access Memory using Memristor

The computer memory system has both volatile and non volatile memory. The Volatile memories such as SRAM and DRAM used as a main memory and non volatile memory like flash memory. But in recent days new non volatile technologies are invented that promise the rapid changes in the landscape of memory systems. Memristor is a two terminal passive element whose resistance depends on the magnitude and polarity of the voltage applied to it. It has nonlinear relationship between voltages and current which is similar to memory devices. In this paper we approach to design memristor based nonvolatile 6-T static random access memory (SRAM) and analysis the circuit performance with conventional 6-T SRAM cell in order to prove the parameter optimizations. Then we address the memristor-based resistive random access memory (MRRAM) which is similar to that of static random access memory (SRAM) cell and we compare the nonvolatile characteristics of MRRAM with SRAM cell.
Visualizing Strain Behavior in the Anterior Part of the Vertically Loaded Mandible Using Digital Image Correlation Method

The goal of this study was to analyse the surface strains in the anterior part of the mandible models by using the optical method. Dried mandibles with shortened dental arch (Kennedy class 1) were restored with two types of restorations: removable partial denture (RPD) and fixed partial denture-cantilever (FPD). After preparation, RPD and FPD mandible models were placed in the standard press system (tensile testing machine) where were tested. The Percentage size of the RPD line section strains was from 0 to 0.22 %. Percentage size of the FPD line section strains was from 0 to 0.5 %. Findings provide that RPD therapy induced less strain in the marginal bone of the anterior mandible. When it comes to FPD model, strains were uniformly concentrated in the alveolar bone around the abutment teeth.
Analysis of Signature-Based and Behavior-Based Anti-Malware Approaches

— Malware is one of the major security threats in computer and network environment. However, Signature-based approach that commonly used does not provide enough opportunity to learn and understand malware threats that can be used in implementing security prevention mechanisms. In order to learn and understand the malwares, behavior-based technique that applied dynamic approach is the possible solution for identification, classification and clustering the malwares. [1] However, it is still unpopular because of its rigid and restrictive nature. In this paper, we study and analyze both approaches and try to determine the best and optimal anti-malware approach.