Miracle-dz/UniFAR-FTUs huggingface dataset:
The effects of radiation and extrusion on patterns of protein subunits and chemical composition of corn and sorghum

Article history Received: 10 Sep, 2015 Revised: 22 Oct, 2015 Accepted: 11 Dec, 2015 Abstract The aim of this study was to determine the effects of gamma radiation and extrusion on chemical composition and electrophoresis of protein subunits patterns of corn and sorghum grains. Samples were extruded and irradiated at doses of 15, 30, and 45 kGy with gamma-rays. The results revealed that ash concentration was significantly high in corn and sorghum irradiated with 45 kGy and 30 kGy respectively. Ether extract and neutral detergent fibre was significantly high in extruded sorghum. Acid detergent lignin was significantly high in sorghum irradiated with 45 kGy. The results of this study showed that the gamma irradiation had the greatest impact in reducing corn and sorghum protein subunits, and the gamma radiation link the subunit of proteins which this characterize can be a good substitute for corn and sorghum in animal nutrition. The results of the present experiment concluded that extruding and gamma irradiation processing be reduced protein subunits MWs and could create positive effects on animal nutrition.
NEW PRODUCT DEVELOPMENT AND INNOVATION APPROACHES: AN EXPLORATORY STUDY IN SRI LANKAN APPAREL MANUFACTURING ORGANIZATIONS

- The New product development (NPD) and Innovation are being adopted in Sri Lankan export apparel industry to sustain in the competitive global market. This article explores the key establishments and novel approaches of NPD and innovation which are being practiced in mass-scale apparel manufacturers in Sri Lanka. Qualitative research methods were utilized in designing and analyzing the data to present the holistic view of adopting NPD and other related approaches in the practitioners’ view point. This exploratory study was conducted based on in-depth interviews using semi-structured questionnaire instrument to render the practical approaches. Purposive sample of expert informants were selected from the leading apparel manufacturers with large production volumes with a diverse product categories. The phenomenological analysis method and the R open source software’s RQDA package were used to analyze the interview data systematically. Subsequently, the relationships to key research constructs were extracted using codes and code categories using RQDA. In conclusion, this paper synthesizes the key approaches of NPD and innovation practised by the Sri Lankan export apparel industry drawing future directions for emerging trends in NPD and Innovation as a whole.
A COMPARATIVE STUDY OF LIPID PROFILE, ATHEROGENIC INDEX OF PLASMA (AIP) AND LIPID ACCUMULATION PRODUCT (LAP) IN DIABETIC NON-SMOKERS AND SMOKERS IN JEDDAH, SAUDI ARABIA

Cigarette smoking is a well-known risk factor in many diseases, including various kinds of cancer and cardiovascular disease (CVD). Various studies have also reported the unfavorable effects of smoking for diabetes mellitus (DM). Smoking increases the risk of developing diabetes, alters the lipid profile and aggravates the microand macro-vascular complications of DM. Atherogenic index of plasma (AIP) is found to be useful marker in patients with diabetes as it increases the risk of cardiovascular disease. Lipid accumulation product (LAP) is a novel biomarker of central lipid accumulation related to risk of diabetes and CVD. The present study aimed to compare the fasting serum glucose (FSG), glycated hemoglobin (HbA1c), lipid profile, AIP and LAP in diabetic non-smokers and diabetic smokers. Mean FSG and HbA1c levels were significantly higher in diabetic patient who are smokers compared to diabetic patients who are nonsmokers. Our study showed the higher incidence of poor glycemic control as reflected by HbA1c ≥ 7% among diabetics with smoking in comparison with those non-smokers diabetics. There was significant increase in total cholesterol (TC) (p˂0.01), triglycerides (TG) (p˂0.01), AIP (p˂0.001) and LAP (p˂0.001) and significant decrease in HDL (p˂0.05) in diabetic smokers as compared to diabetic non-smokers. Smokers had a wider waist circumference and a proatherogenic lipid profile. Pearson’s correlation study revealed a significant positive correlation between FSG and AIP (r = 0.29, p˂0.01) and LAP (r =0.40, p˂0.001). In addition, we found significant positive correlations between AIP and LAP with HbA1c (r=0.34, p =0.004 and r=0.57, p˂0.001, respectively). It is concluded that both AIP and LAP could be used as simple parameters to early assessment of risk for development of atherosclerosis in diabetic smokers.
Food Science and Nutrition Technology

In recent years, research efforts in developing countries have focused on the improvement of protein quality of food products due to mass malnutrition. TUWO is a traditional food made from maize flour and consumed by all ages in Nigeria. Flours blends were obtained from Maize and kidney bean flours using the following proportions: A= (100% maize flour as control), B= (90:10), C= (85:15), D= (80:20), E= (75:25). Products were analysed for proximate, functional, pasting, antinutrients and sensory properties. Proximate analysis showed increased in moisture, protein, ash, fiber contents while the reverse was the case for carbohydrate and fats. Functional analysis revealed bulk, water absorption and swelling capacities decreased while foaming, gelatinization, oil absorption capacities increased as substitution of kidney bean flour increased indicating good attributes suitable for food production. Pasting analysis showed increased in peak, trough, final, setback, and peak temperature as the kidney bean flour increased while the reverse was the case for peak time and breakdown viscosities. The antinutrients factors (Phytate, Tannins, Oxalate and Trypsin inhibitor) were found to be within the acceptable levels. The result of the sensory scores showed that sample C was the most liked among the entire samples at the ratio of (85% maize flour and 15 % kidney beans flours). Kidney beans and maize flour can be used to improve the nutrient composition and other quality attribute of TUWO.
Dynamic Source Routing (DSR) Protocol in Wireless Networks

: A Mobile Ad Hoc Network is a network having a number of nodes which are capable of communicating with each other without taking any help from the network infrastructure. Each node participating in the network works both as host as well as a router. Each node must be willing to forward packets for other nodes. For this purpose, a routing protocol is needed. The Dynamic Source Routing protocol, a simple as well as an efficient routing protocol is designed for use in multi-hop wireless networks, which allows the network to be entirely self-organizing and self-configuring, without the requirement of any network infrastructure or the administration. The protocol work entirely on-demand, allowing the routing packet overhead to scale automatically as per the need.
A Novel Approach of Handwritten Character Recognition using Positional Feature Extraction

— In this paper, we have presented a method of feature extraction for handwritten character recognition. We showed that our method, despite its simplicity, yields good classification results on handwritten characters. Normalization and binarization are the pre-processing techniques used for getting accurate results of classification process in handwritten character recognition. This method is based on positional properties of each pixel present in character image. First of all, add all the sample character image matrices and divide the resultant matrix by total number of matrices added, called as Avg_matrix. Then subtract it from each sample character image matrix, which results in unique features because of their positional properties of pixels present in that image. We used singular value decomposition technique to get projection vector matrix which is beneficial for more accuracy in results. Finally, we used generalized regression neural network for resulting feature vectors and obtain classification performance in the character recognition task. The proposed recognition scheme provided 82.89 percent and 85.62 percent accuracies on Devnagari and Kannada character databases respectively.
Intelligence Based Electric Vehicle Route Planning System

— Now a day’s Electric Vehicles (EVs) are popular all over the world. The drift towards electric vehicles is a result of severe environmental problems caused by the Internal Combustion Engine Vehicles (ICVs). EV posses performance weaknesses in case of transportation efficiency, such as low energy density of batteries, scarcity of public charging stops, long waiting and charging time, wastage of energy due to traffic, accident and blocking conditions. EV Routing Problem (EVRP) is relevant in the recent scenario to get the efficient route, assisted by coordinating distance travelled and availability of charging stops. Besides, it incorporates the traffic parameters, blocking conditions and accidents to bring this application in real world logistics. To make EVs as the future of personal transportation and to increase the user’s acceptance, these problems should be considered. In congested areas, the concurrent and frequent recharging demands lead to high waiting time at the charging area, thus affecting both charging network and vehicle travel time. In this work, optimal route for the electric vehicles is computed that minimizes the associated cost, which is a combination of travel time, charging time and the energy consumption along the route. Inputs to the route planning system are the distance to be travelled, vehicle speed, states of charge and even sometimes the information about traffic conditions, blocks and accidents. The output of the energy management controller is to provide an optimal route that achieves best performance and overall system efficiency. As the stated problem is non-polynomial, the proposed work uses metaheuristic algorithms for finding an optimal route in a reasonable time. Genetic algorithm(GA) and Particle Swarm Optimization (PSO) are then used to solve the energy efficient routing problem for electric vehicles. These two metaheuristic methods are analyzed and studied and the results and performance of each are then compared and contrasted .
Cross Domain Sentiment Classification: Current Solutions

— Cross-domain sentiment classification is the task of classifying documents in a domain of interest into appropriate subjective classes by utilizing information obtained from other domains. Methods to sentiment classification aim at bridging the gap between the source domain and target domain. This helps in adapting a classifier trained on source domain to predict the sentiment polarities of documents in target domain without the need for annotating the target domain data. This paper tries to give a brief overview on the existing methods of cross-domain sentiment classification.
Nanoparticles as Drug Delivery Systems

This chapter presents a review on the design of nanoparticles which have been proposed as drug delivery systems in biomedicine. It will begin with a brief historical review of nanotechnology including the most common types of nanoparticles (metal nanoparticles, liposomes, nanocrystals and polymeric nanoparticles) and their advantages as drug delivery systems. These advantages include the mechanism of increased penetration and retention, the transport of insoluble drugs and the controlled release. Next, the nanoparticle design principles and the routes of administration of nanoparticles (parental, oral, pulmonary and transdermal) are discussed. Different routes of elimination of nanoparticles (renal and hepatic) are also analyzed.
– Communal Data Sharing

— The cloud computing is used for lease of resources for the user . The user can lease the resources depending upon the requirement of the user. At this situation it is difficult to maintain the data in secured manner . To achieve this we have developed a solution by keeping track of the users who are accessing the data in cloud.
Organisational Innovation through HR Practices: A Review Based Analysis

The dynamic environment and globalization has resulted in a steady pressure on the organizations to constantly transform their structure, process and production, in order to survive and sustain. Moreover, the organizations have understood the requirement of introducing innovative practices, products and processes. The main objective of this review based study is to identify the HR practices and review their role in organizational innovation. This review explores the theoretical and empirical findings from more than 30 research papers and articles, which discusses the role of HRM practices in organizational innovation. This review uses publications from the relevant journal articles, edited works, and other research materials to achieve the objective of the study. Based on the findings, it is identified that instead of focusing on a single HRM practice, there is a need to analyze a variety of HRM practices and effects that has a significant influence on organizational innovation.
Energy Consumption between Gateways of ad hoc and other networks

Wireless Sensor Networks (WSNs) consist of small nodes with computation, sensing, and wireless communications capabilities. Power management and data spreading protocols have been particularly intended for WSNs where energy awareness is an essential intended issue. Some protocols can be classified into QoS-based, query based, multipath-based, negotiation-based, and coherent-based depending on the protocol operation. We are analysis and investigating the tradeoffs energy consumption between gateways and communication overhead savings in every routing prototype. We also highlight the advantages, applications and performance issues of each routing technique. This functionality requires the nodes in the wireless and ad hoc network is to discover the gateway, using a gateway discovery protocol. However, a limiting factor (particularly for wireless mobile nodes) is suing their limited energy supply provided by batteries. By using QualNet 5.0 simulator we simulate the various mobility patterns and networks density scenarios, we also show that increase the number of gateways in wireless ad hoc network significantly improves the power efficiency of mobile node and therefore prevent network partition due to death nodes.
An Intelligent Voice Enabled Distance to Empty and Navigation System

 Abstract— Recent years have witnessed a fast growth in automobile sector, leading to increased urge for an intelligent man machine interaction system for navigation. This paper describes the development and implementation of an intelligent speech agent based navigation system and distance to empty (DTE) calculation for autonomous land vehicle applications. This system, initially determines the current location using Global Positioning System (GPS). The GPS outputs NMEA (National Marine Electronics Association) sentence that contains information about current location including longitude and latitude. The input to the system i.e. the desired destination is through voice command and outputs the following-(i) the road distance and the amount of fuel required, through speech, (ii)the altitude difference between the current location and the destination, which is further used to calculate the mileage variation with altitude and (iii) displays the route from the current location to the destination on a map along with the prediction whether the user will be able to reach the desired destination with fuel left in the automobile, how much distance it can travel with the remaining fuel and how much additional fuel is required to be filled up to reach the destination.
FPGA based Efficient Routing Implementation of programmable Network on chip

- A large no complex system on chips are getting developed as a result of increase in chip density following Moore’s law. The advanced So-Cs have in their self significantly noticeable communication mechanisms. No-C have solved the scalability problems to a larger extent as compared to bus based interconnect. No-C has been providing a back bone architecture for System-on-chips since long. Among the available communication matrices No-C has helped tremendously in the communication performance enhancement. No-C research majorly involves work on packet switching, though at the same time circuit switching assures high communication rates and predictable communication latencies. The current research is mainly focusing towards implementation of No-C architecture for FPGA based designs using circuit switching approach. Proposed implementation has enhancement of light weight circuit switched architecture. The programmable No-C architecture is implemented using VHDL and synthesized on the Virtex-5 XC5VLX20T package FF323 device at 139 M-Hz. It provides sufficient customization on the number of ports, nodes and amount of data. Validation of performance improvement over the existing implementation has been done by experimental synthesized results.
Inferior mammary fold reconstruction in reconstructed breast: a novel technique

Background: In breast reconstructive surgery, the infra-mammary fold (IMF) is an integral component of breast identity. The distortion of the IMF during breast surgery or reconstruction following mastectomy often requires restoration. We have developed a new IMF reconstruction technique using de-epithelialised dermis secured to the periosteum of the rib. This acts as a hammock to support the breast tissue in the new position. This paper presents our nine-year experience of performing this original technique following free tissue transfer or tissue expanders (TEs) to reconstruct the breast post-mastectomy. Methods: Pre-operatively, the new IMF line is marked out while the patient is in a standing position. Two centimeters of the lower border of the reconstructed breast is de-epithelialised. The pectoralis major fascia is accessed through the dermis and the lower third of the flap is raised and folded in upwards. The dermis is then stitched to the periosteum of the rib at the desired higher level using interrupted 2/0 polydioxanone (PDS) sutures; thus, creating the new IMF. Results: A total of 9 patients were included in this report. The average age was 49 years (range, 31–61 years). Two cases had bilateral subcutaneous mastectomy and deep inferior epigastric perforator (DIEP) flap reconstruction. One case had immediate DIEP on one side and delayed DIEP on the other. One case had bilateral delayed DIEP. Two cases had unilateral delayed DIEP reconstruction following oncological mastectomy. Three cases were following TEs in unilateral breast reconstruction one of which had a high IMF that needed lowering. IMF in all cases was recreated using the same technique; each achieving a satisfactory outcome with no complications recorded. Conclusions: This technique provides the reconstructed breast with a well-defined IMF and improves its projection. The results are long-lasting and provide a sharp breast-thoracic angle, which is fundamental in the creation of a natural-looking reconstructed breast.
The State of the Art of Automatic Speech Recognition: An Overview

— The objective of this paper is to present an overview of the techniques used in speech recognition systems. In this paper, we discuss the types of speech recognition showcasing the development in the field to help provide a technological perspective of the progress made in the field. Further, it highlights the fundamental principles and methods of Speech Recognition to understand the basic design required to build the technology. In addition, this paper discusses the various approaches to ASR and the classification techniques of the Speech Recognition System-HMM, DTW, MLP, along with their advantages and disadvantages. After decades of research, the efficiency of an ASR system and its accuracy remains the most crucial challenge. This paper attempts to review the basic technology of Speech Recognition, based on which we can build the most advanced systems overcoming the challenges we face currently.
Mechanical Properties of Nanomaterials: A Review

This paper reviewed the literature highlight the mechanical properties of nanomaterial and mention why the world attracted to the Nanomaterials. Nano-structured and Nanoparticle based materials exhibits unique microstructures and enhanced mechanical performance. That uniqueness attracted considerable attention in recent years and offer interesting possibilities related to many structural applications. The day by day increasing applications of nanomaterials in different perspectives have produced a positive impact on researchers and hence efforts are now being carried out to study the mechanical properties of the nano-structured materials. Therefore, it is an important topic of research nowadays. The present review emphasises the study of mechanical properties primarily tensile and compressive behavior of nano-structured materials at room temperature, the influence of the nano size of the particles on the creep behavior of nano materials
Survey on Defending Web-Proxy Based Attacks

: Different server side defending mechanisms exists to resist web-proxy based distributed denial of service attacks (DDoS). DDoS is one of the most vulnerable threats that affect the client and server communication. The client can access services from server through different proxy server. Attackers can use this web proxy as an attacking tool by sending malicious requests to server through proxy. Defending such attacks by Web proxies is a tedious task. In proxy-to-server traffic, there is no foreseeing difference between the legitimate traffic and the attack traffic. In such cases, a server denies services for a proxy server as a whole. Thus along with an attacking client the legitimate users also need to suffer with DoS. This survey paper discusses various methods to identify web-proxy based attacks.
A Systematic Literature Review on Cardiovascular Disorder Identification using Knowledge Mining and Machine Learning Methods

Cardiovascular diseases are challenging to predict and diagnose due to the underlying dysfunctions associated with reflex mechanisms. Considering the mortality ratio and economy burden by the cardiovascular disorder, various researchers seek to diagnose this pernicious disease at its earliest by analyzing the healthcare data. In recent times, researchers made seminal contributions however, the unavailability of an extensive and fundamental article motivated us to prepare a literature review on a cardiovascular disease. We conduct a comprehensive database search between the years 2000 and 2017 using different keyword combinations to get distinguished articles about the disease. We provide descriptive insights to fill the uncovered research gaps. This paper attempts to uncover the state-of-the-art data mining approaches and tools that can be used to diagnose the cardiovascular disease at its initial. To our knowledge until now there is no competent and comprehensive article on cardiovascular disorder prognosis and identification using knowledge mining and machine learning approaches. The topic is diverse as well progressive hence demands additional research to understand newly identified discoveries about the disease.