Studies were carried out on the liver and intestine tissue of Clarias gariepinus after exposure to sublethal concentrations of LC50 lead nitrate for 20 days. Fish were distributed into four groups, control (0 mg/L, LC50 of Pb(NO3)2) and three groups exposed to 20, 40 and 60% of the LC50 of Pb(NO3)2 (16.12, 32.24 and 48.37 mg/L respectively). Section of hepatic and intestine tissues showed the normal

Preparation of copper ferrite polyaniline nanocomposite (CF-PANI) and its use for photocatalytic degradation of Rhodamine B dye from aqueous solution has been studied. Copper ferrite (CuFe2O4), a magnetic ferrite (spinel) of nano dimension was synthesized by co-precipitation method. Polyaniline nanocomposite of copper ferrite was prepared by in situ polymerization and SEM technique was used for characterization

The purpose of this study is to determine the benefits of using algal biodiesel blends in motorized vehicles, as well as knowing the extent to which the biodiesel mixture can reduce its emissions to suppress the impact on the environment. The engine employed was coupled to a dynamometer and evaluated at a speed of 1500 rpm at various degrees of load. FTIR spectrum of the oil and biodiesel was studied

Despite the successive increase sales in Korean film industry, film revenues have been concentrated more in commercial films, not in diversity films. In general, diversity films relatively made with low budgets have trouble marketing with a limited budget. As one of the low-cost marketing strategies, it has been studied that using influencers who spread strong messages to other people for maximizing

The rapid growth in the commute and vehicles has made exponential growth in the progress of mankind. This growth besides its positive aspects comes with a concern of saving life on road due to accidents. And, hence the technological advancements in the field of machine learning are required to cope up with the challenges such as road safety and traffic rule violations. According to the survey the majority

Productivity is an important issue in recent literature because it encourages cost savings and efficiency in the use of industrial resources in all countries. However, the study of the factors that explain the productivity levels reached by the companies presents controversy, and the existing research demands new analysis models that can more accurately identify the causes of industrial productivity

Scheduling scientific workflow in a distributed computing resource is a challenging job. It involves heterogeneous resource allocation to concurrent tasks in order to achieve the desired scheduling goal. In this paper, we are presenting a multi-workflow Earliest Cycle Time algorithm, mECT. The objective of the algorithm is to reduce schedule length while ensuring no deadlock situation occurs due to

The effective utilization of virtual instances by suspend resume policy in virtualized data center is analyzed in this paper. Cloud computing is a term that describes the means of delivering all information technology from computing power to computing infrastructure, applications, business process and personal collaboration to end users as a service wherever and whenever they need it. Here Infrastructure

This study developed a system to evaluate China’s industrial green development based on the Pressure-State-Response (PSR) model. After analyzing the unbalanced industrial green development among China’s four major economic regions, the study found that strengthening technological research and development and brain gain is the key to promoting potential and inter-regional coordination for industrial

This paper uses industrial structure as a critical reference frame for evaluating ecological efficiency. It calculates the industrial structures and ecological efficiency value of 29 municipalities, autonomous regions, and provinces of China for the period between 2005 and 2017. Analysis of the regional characteristics and development trends of ecological efficiency of China's industrial structure

Alkaline protease is one of the bulk enzymes having wide commercial demand for various applications. It is commercially produced by a submerged fermentation process employing various bacteria, Bacillus sp. being the most widely used species. Statistical optimization of the process for the production of alkaline proteases from rhizospheric bacteria and its application in the biocontrol of plant pathogens

Interest in xylanase enzyme application has led to production of xylanase from recombinant Escherichia coli B24, which is an economic alternative towards higher productivity. Recombinant E. coli used in this study is a ubiquitous bacterium containing xylanase encoding gene from Bacillus halodurans. We investigated xylanase production by recombinant E. coli using classical medium optimization. Six fermentation

Ghingaru (Pyracantha crenulata (D. DON) M. ROEMER) is an important thorny Himalayan wild edible shrub. Fruits of the plant are rich source of anti-oxidants and used in preparation of cardio-tonic. However, scant scientific information is available on it mass propagation through seeds. The present study reports effect of chemical seed pre-treatments with sodium chloride, potassium nitrate, thio-urea

The exponential increase in the volume of online data has generated a confront of overburden of data for online users, which slow down the suitable access to products of pursuit on the Web. This contributed to the need for recommendation systems. Recommender system is a special form of intelligent technique that takes advantage of past user transactions on products to give recommendations of products

In this study, effects of minimum quantity lubrication (MQL) conditions on machinability were investigated in milling operations, which is an important machining method. In this context, nano-sized solid lubricant MoS2 was mixed into MQL and EN-GSJ 700-02 spherical graphite cast iron was milled. Surface roughness and tool wear were examined and effects of nano-MoS2 were investigated. A range of statistical

This article introduces a new method to microcalcification discovery in digital mammograms, in which the classifiers are designed using the blend of unseen upper hand transformation and synthetic neural networks. Microcalcification diagnosis is actually carried out through drawing out the microcalcification homes from the graphic curve coefficients, as well as these results are actually used as semantic

Rapidly Exploring Random Tree is a technique that utilizes samples as constraints for arranging the paths from given source to reach multiple goals. A sample is randomly selected from the configuration space. Each data point is represented as a step that helps in travelling of a robot from one point to another. By initiating the search process, the pursuit calculation endeavors to achieve the objective

In this work, the authors synthesized three different acrylates by esterification reaction of acrylic acid with three different long chain alcohols (octan -1-ol, decan -1-ol and dodecan -1-ol). Homopolymer of castor oil (CO) and three copolymers of castor oil with acrylates were prepared by free radical polymerization method in the presence of azobisisobutyronitrile (AIBN) as initiator. FT-IR and NMR

In the past, it was comparatively easier to mine and discover the key player genes and proteins associated with a particular disorder through literature survey. But in recent years the scientific research has attained its greatest pace resulting in the deposition of enormous molecular data over World Wide Web. Therefore, it is necessary to adopt specialized data mining methodologies and employ appropriate

The design of a capacitive feedback based neural recording amplifier is presented. The prime design requirements in case of neural amplifiers includes low noise, high gain, high CMRR, low power, low area and low offset voltage. However, there is an inherent trade-off between noise-power and area-offset in the design process which needs to be addressed. A Recycling Folded Cascode based Operational Transconductance

The current work aimed at preparing a cyclo (Nα-dinicotinoyl)-bis-[(L-valinyl)-L-lysine] from previously established synthetic routs. The derivative was investigated for its potential anticancer activities as well as its possible mechanism of action. The prepared compound showed variable anticancer activities against all tested cell lines. Furthermore, it showed very promising activities in terms of

A systematic study was conducted to develop nutritionally superior extruded snacks from blend of high amylose rice and chickpea flour using a twin-screw extruder. The effect of barrel temperature 160°C–200°C, moisture content of feed 11%−15%, feed composition 95% rice : 5% chickpea to 35% rice : 65% chickpea and screw speed - 160 to 280 rpm on dependent variables i.e. specific mechanical energy (SME)

Inconel 600 is the nickel based super alloy which is employed in numerous engineering applications like gas turbine blades, turbochargers and heat exchangers etc. However, it is very difficult to machine due to its high strength and poor thermal diffusion. Conventional machining methods of these materials may result in decreased life time. An electrochemical machining is an advanced non-traditional

This paper aims to investigate the misallocation effect of different capital combinations accumulated from R&D and non-R&D activity in China’s high-tech industry. Using a conceptual model, the study first establishes an equilibrium combination derived from the firm’s behavior, and then analyzes the misallocation situation in China’s high-tech industry from 2003–2016. The findings indicate that the

The increasing commercial significance of microbial laccase in various fields compels the supply of enzymes in large quantities at an affordable price. Laccase has been produced by a wide variety of wild cultures of bacteria and fungi, the high yielding strains are always desired to meet the increasing demand of laccase. Although various approaches have been proposed for improving the yield of laccase

The management of industrial waste is a difficult task in the developing country like India. In the study, fresh and in-service properties of controlled low-strength material (CLSM) consisting of cement, class-F flyash, CETP sludge, M-sand and water were determined by laboratory scale tests. The CETP considered when combined with cement and flyash, exhibit self-hardening characteristics similar to

In this study the use of Chlorella vulgaris biodiesel blends are tested in a naturally aspirated dual fuel diesel engine with various load conditions at a rated speed of 1500 rpm. In the engine, the test fuels such as B20 injection, B20 blending and diesel were prepared and tested. The combustion characteristic has provided a better understanding of the operation of the engine in dual-fuel mode. The

A multi-objective scheduling problem with specified release times and due dates for individual tasks is analysed in this study. Distinct tardiness value of each task j comprises the part of the objective, while it is desired to identify all non-dominated solutions. Tardiness values for a total number of n tasks complete a single solution making it an n-objective scheduling problem. Tardiness is treated

In Automatic Speech Recognition (ASR) based system implementation, robustness to several noisy background situation is a unique challenge. In this paper, for estimating both audio and visual aspect feature in light of different information representation perspectives directs to the robust feature extraction from audio-visual speech image. Further, the authors obtain the bottleneck features from the

The plants are highly significiant for human life and animal life. Plants also suffer from illness (i.e., diseases) like humans and animals. Groundnut plant is more prone to diseases in the agriculture sector. Cercospora is the most common leaf disease in the groundnut. Entire plant gets infected by the diseases which include stem, root, flower and leaves. For controlling and managing the diseases

Decision making for intrusion detection is critical in a distributed environment such as cloud or grid computing due to its’ dynamic nature. Wrong or delayed decisions lead to astonishing problems. So that decision making phase is enhanced by means of selecting relevant features for prediction and trained to classify attacks. Initially the common valued features for both normal and attack behavior

Nile tilapia (Oreochromis niloticus) weighing 51.66 ± 2.42 g were exposed to 0%, 20%, 40%, and 60% of LC50 to either lead nitrate (Pb(NO3)2) or copper sulfate (CuSO4) for 30 days. The Pb(NO3)2 and CuSO4 concentrations employed in the treatments of this study were 8.8, 17.6, and 26.4 mg/L and 2.57, 5.14, and 7.71 mg/l, respectively, and multiple hematological variables were evaluated. The red blood

Data gathering is one of the difficult tasks in Ad hoc Sensor networks. Sensor Networks consist of limited power sensor nodes located with high density and deployed for various applications such as military, industry and environmental tracking etc. However energy constraint of sensor nodes is one of the biggest challenges in sensor networks. Balancing of data gathering and energy efficiency is the

This paper has focused on developing an optimized artificial neural network (ANN) modeling to highly predict the retardance in ferrofluid of citrate coated magnetite nanoparticles. Utilizing the previously measured retardances as a training dataset, ANN models in architectures of single/double-hidden layer were trained by the Levenberg-Marquardt (LM) algorithm. From the testing of neural network with

In the working environment, managers must incorporate a diverse set of skills to effectively manage different types of personalities which employees’ show on a daily basis. These skills assist managers in recognizing the needs and drives of employees as well as offer the suitable resources to satisfy those personal needs and provide stimulation. This research describes the key personality dimensions

An algorithm for determining the membership function and the degree of criticality of elements (fuzzy FMECA algorithm) is developed and applied in this paper in terms of ranking elements based on their criticality by applying the theory of fuzzy sets.

Current research aimed at evaluating the in vitro as well as in vivo anticancer activities of a newly synthesized peptide hydrazide; i.e. 4,14-diisopropyl-2,5,13,16-tetraoxo-3,6,12,15-tetraaza-1(3,5)-pyridinacyclohexadecaphane-7-carbohydrazide. The hydrazide was synthesized from methyl 4,14-diisopropyl-2,5,13,16-tetraoxo-3,6,12,15-tetraaza-1(3,5)-pyridinacyclohexadecaphane-7-carboxylate 2 by acting

In Wireless Sensor Networks, two crucial parameters are lifetime of the network and optimal coverage for sensed region. This paper addresses the issues and challenges pertaining to these parameters for further investigation, and provides a method to approximate the energy utilization and optimal coverage inside the bottleneck zone for wireless sensor networks. The proposed analytical framework calculates

Recent studies apply the Monte Carlo method to try to solve multiple data problems for dynamic macroeconomic models such as measurement errors, residue correlation, and omitted variables. This paper evaluates the estimate of economic growth regressions from the Solow model by applying the Next Reaction Method, similar to the Monte Carlo kinetic methods. Our results indicate that with the said algorithm

In this paper composite attribute-based ad-hoc on demand multipath distance vector (CAB-AOMDV) routing protocol has been proposed. Composite attributes are used to select the optimized multiple path for transmitting data and determined what percentage of total data can be share by the specific path. Composite factor is the combination of two factors, one is drop and another is queue factor. The performance

When a postsynaptic neuron receives a spike from the axon, its synapse releases neurotransmitters to the synaptic cleft. The probability of vesicle release depends on the amount of calcium ions. The concentration of calcium ions keeps on changing with time. The opening and closing of these channels is controlled by the calcium ion gates operating at different rates. Similarly, the binding of neurotransmitters

A wideband antenna design for 4G and 5G applications has been analyzed and evaluated in this research. The advanced technology equipment’s are getting smaller, which require compact and miniaturized antennas. The antenna designed in this research work is investigated for wideband operations for time division duplex long term evolution bands from band number 33 to 43 and for 5G New Radio n78 band. The

During the current work, we synthesized a new peptide derivative; 4,13-diisopropyl-2,5,12,15-tetraoxo-3,6,11,14-tetraaza-1(3,5)-pyridinacyclopentadecaphane-7-carbohydrazide. The prepared hydrazide was investigated for its in vivo as well as in vitro anticancer effects. Results revealed that this derivative has a great potential against 6 cancerous cell lines. Furthermore, the highest effect was obtained

Vehicular AdHoc Networks are the most prominent and efficient technology nowadays. It achieves a high gain by using intelligent transportation systems due to their advanced version. Generally, all vehicle users expect low traffic jams and high degree of safety and security during their travel. It can be achieved by technique called Prediction Based Authentication. We present a fuzzy logic based decision

Trends towards PC-based computing platforms have given a path to innovate advanced, model-based control algorithms for the control of wind energy conversion systems. These advanced models allow us to gain increased reliability and improved efficiency. This work is focused on the digital signal processor based implementation aspects of a variable speed, grid connected; squirrel cage induction generator

Traditional clustering techniques alone cannot resolve all challenges of partition-based clustering methods. In the partition based clustering, particularly in variants of K-means, initial cluster centre selection is a significant and crucial point. The dependency of final cluster is totally based on initial cluster centres; hence, this process is delineated to be most significant in the entire clustering

Suitably designed Adaptive algorithm can collect the main signals’ multipath and add them constructively with main signal with very low side lobe level in all other directions, hence eliminating the jamming signal from other directions. A new technique for DOA estimation of signals impinging on Two Uniform Linear Array (ULA) offset with each other by a known angle also has been proposed for further

Research is continuing for synthesizing new molecules with potent pharmacological effects against cancer. In the current work we prepared a new tripeptide and investigated its in vitro as well as in vivo antiproliferative effects. Firstly, cyclo (Nα-pyrido)-bis-[(L-valinyl)-L-ornithine] was prepared and then tested against 17 different cancer cell lines. Results showed that the prepared compound showed

Staphylococcus aureus (S. aureus) is the most common reason behind bacterial infections in humans. They cause a wide array of infections on skin, bone and joint medical implants and blood stream. In order to mitigate these infections, detecting the presence of this bacterium is of prime importance. This paper explores a new rapid detection technique to identify S aureus bacteria. A screen-printed sensor

In the present work, silica gel is extracted from raw rice husk, incorporated in Plaster of Paris formulations and casted into sheets of varying thicknesses. The sheets were tested for thermal insulation at 60, 100, 150 & 200 °C and compared with blank formulations. Plaster of Paris composites with silica gel have shown remarkable increase in thermal insulation properties and crack resistance. Thermally

For anti HIV activity, Stavudine (or D4T or Zerit) is an important nucleoside reverse transcriptase inhibitor (NRTI). Molecular geometry of this compound has been optimized by DFT B3LYP/6–31G (d,p) method using Gaussian 03 software package. In order to examine global reactivity descriptors of the drug molecule, Frontier orbital analysis has been carried out. Using molecular docking inhibition activity

The usages of IoT devices are increasing exponentially since a decade. To manage all these devices new technologies like ZigBee, 6Lowpan, LoRa etc., are available in the industry. ZigBee is popular among them which are mainly used for home automation systems. Star, cluster tree, mesh supports topologies in ZigBee. These topologies may not fulfill the requirement in improving Quality of service in design

Solar, one of the major sources of renewable energy these days can also be used to generate electrical energy. Some losses occur on the surface of the solar panel and thereby reduces the efficiency and the lifetime of the solar panel. The main intention of this work is to reduce the reflective losses by coating antireflective materials and to reduce the thermal losses by selecting the necessary cooling

In this research work, several sophisticated types of equipment and automation have been studied, points taken and considered to realise the locomotion of modern territory of all uneven environments. One of the most main mission and structure of this study is the preferred simplicity of the bipedal walking locomotion system. The study included from simple to complicated legs as like single-legged,

Cancer is a major risk disease affecting human survival. The pharmaceutical companies are continuing searching for new drug candidates with promising anticancer activities, and reduced side effects. The current work aimed at synthesized a new tripeptide with potential pharmacological properties. L-Valine methyl ester was used to prepare cyclo (Nα-dinicotinoyl)-bis-[(L-valinyl)-L-lysine methyl ester

Probiotic bacteria are known to treat and prevent diseases and hence promote physical and mental wellness due to their significant brain-gut relationship. The main challenge involved in probiotic commercialization is the bio processing limitation to produce high cell mass, especially with the cultivation of lactic acid bacteria which produces lactic acid as a by product. Synthesis of lactic acid by

Thermal kinetics of Hibiscus sabdariffa L. leaves puree (HSLP) were measured to determine the energy of kinetic degradation of chlorophyll a (Chl a) & chlorophyll b (Chl b) of puree at pH (1.4 to 5.8) and temperature (343 K to 363 K). Degradation curves were fitted using first-order reaction kinetic models & the activation energy (Ea) for Chl a & Chl b was found to be 44.623±0.18, 39.158±0.25 & 35

Textile Reinforced Concrete (TRC) has gained worldwide popularity as a strengthening material for masonry structures in the recent years. As of today, the application of TRC for masonry strengthening is either by cast-in-place methodology or by spraying method. The present work is a first-of-its kind study, which explores the feasibility of using externally bonded precast TRC laminate for strengthening

This paper presents a relationship between the surface finish, machining conditions and the noise level generated by the turning operation for machining of EN-19 alloy steel using PVD-TiN coated mixed ceramic (Al2O3+TiCN) inserts on a CNC turning centre under wet lubrication conditions. The machining parameters considered in this study include cutting velocity, feed rate and depth of cut. The levels

It is one of the few studies conducted on the machining of Ni-based Inconel X750 alloy, which has a wide range of applications in the main industries (gas turbines etc.) and aerospace (rotor blades etc.) industries. In this study, cutting tool wear, cutting forces and surface roughness were investigated in dry turning of Inconel X750 super alloy with coated carbide cutting tool. For the determining