Miracle-dz/UniFAR-FTUs huggingface dataset:
A MCDM Approach for Measuring Project Complexity

All projects have some degree of complexity due to the interdependency of resources, and their elements. Anticipating the degree of complexity and planning to manage actions to meet the situations effectively requires an understanding of project details and project implementation strategy. In this article a multi criteria decision making (MCDM) approach based on survey instrument, Multi Attribute Utility Theory (MAUT) and Analytical Hierarchy process (AHP) has been proposed to measure the complexity of projects. Nine project complexity criteria are identified to map the project complexity. Importance of specific criteria is evaluated using AHP. A Survey Instrument has been proposed to enumerate the scores of various criteria. In the proposed methodology the weights obtained from AHP and scores obtained from survey instrument are used in multiattribute utility function (MAUF) to evaluate the degree of project complexity. Keywords— Project complexity, Project complexity characteristics, MCDM, Multi Attribute Utility Theory (MAUT) and Analytical Hierarchy process (AHP).
477-484 Ashkin-

Embryo culture is a vital procedure in Assisted Rep roductive Technologies (ART). Assessment of embryonic morphology and development is of impor tance in the selection of embryos for transfer. Survivability of embryos in culture media depends on nutrient supply to maintain embryonic growth at every stage of preimplantation development. The objective of this study was to observe the effect of M16, HTF and KSOM commerci al media on preimplantation embryonic development and morphological grading. Female mice were superovulated with pregnant mare’s serum gonadotropin (PMSG) followed by human chorionic gonadotropin (hCG) 48 h later. The oviducts were flushed at 23 -25 h post-h CG using M2 medium. Embryos with two pro-nuclei were selected for culture. A total of 24 0 embryos were equally divided for culture in M16, HTF and KSOM media. Embryonic development and morphological grading were observed at 48, 67, 74, 93 and 11 h post-hCG until th e hatched blastocyst stage. Significantly higher numbers of blastocysts was observed in HTF and KSOM cultures at 93 h post-hCG, compared to M16 culture (p<0.05). HTF showed a sign ificantly higher number of Grade B4 blastocyst (p<0.05), while KSOM showed a significan tly higher number of Grade B1 blastocysts (p<0.05), compared to M16. Morphological quality apeared to be stage dependant. M16 medium showed significantly higher number of 8-cell s tage (n=62) compared to HTF (p= 0.026). Our observations suggested that for ICR mouse embry os, M16 is effective in promoting precompaction stage development until the 8-cell stage , while HTF and KSOM were more effective in promoting post-compaction stage development, hen ce producing more blastocysts.
Parallel System Used By Query Optimization for Crowdsourcing

— — Optimization of the query is the biggest problem now days for crowdsourcing system. Crowdsourcing is source for the experts to solve the problem and freely sharing the answer with everyone also hiding the complexities and to relief the user from burden of dealing with the crowd. The user has to submit an SQL query and the system takes the responsible for compiling the query, generating the execution plan and evaluating in the crowdsourcing market. A query can have different alternative execution plans and the difference in crowdsourcing cost between the best and the worst plans may be several orders of magnitude. The relational database systems, query optimization is providing query interfaces which are important for crowdsourcing. The propose system, a cost-based query optimization approach for crowdsourcing systems. The cost and latency consider in query optimization objective for proposed system and generates query plans that give a good balance between the cost and latency. The system develops efficient algorithms for optimizing Selection queries, join queries, and complex selection-join queries using parallel system.
A Comparative Study of the Employee Engagement Practices in Retail

Human beings is the most important and valuable resource for every organization or institutions has in the form of it employees. Effective employees can contribute to the effectiveness of the organization competent and motivated people can make things happen and enable an organization to achieve its goals. The organization should continuously ensure that the dynamism, competency, motivation and effectiveness of the employees remain at high level. Human resource development is a continuous process to ensure the development of employee’s competencies, dynamism, motivation and effectiveness in a system and planned way.The current study analyses in detail the employee engagement practices adopted in retail and makes a comparision between the activites and the perception of their respective employees. Keywords---Retail, employee engagement, work culture, productivity
Environmental pollution due to mobile phone radiation, high voltage powerline radiation and investigating it’s effects on heart rate and blood pressure

© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Pollution due to Electromagnetic Radiation (EMR) is inevitable in today's world and it had affected our lives. Currently we are totally dependant upon the technologies which are the major sources of EMR. In many situations these radiation are more powerful than natural sources of radiation. A study was conducted in Pune city (India) to find out the effect of EMR emitted by Global System for Mobile (GSM) and high voltage powerline (HVPL) on health parameters like blood pressure and heart rate, for 20 healthy volunteers (10 male and 10 female), within age group 18-25 years. In the study, heart rate (HR) and blood pressure along with other health parameters are measured using multiparamonitor (Caddo 19B, Multipara set-up). The transmitter and receiver handset (Moto G 3rd Gen-XT 1550), GSM SIM (AIRCEL), distance between caller and receiver, time of observations and other external parameters are kept fixed. These observations are analyzed using software “students online t test”. Significant effect is observed on heart rate and blood pressure for level p<0.05. In high voltage powerline study, the changes in diastolic or systolic blood pressure and heart rate when volunteers were subjected to electromagnetic radiation due to power line for 30 minutes of time are statistically not significant for groups at level p < 0.05.
Practical Tips in Neuromodulation for Pain. Anaesth Critic Care Med J 2018, 3(2): 000134

This paper tries to help physicians involved in neuromodulation techniques in achieving better results. Patient selections, trial period as well as the neuromodulation technique selection itself are discussed. Initial stimulation parameters for spinal cord stimulation, motor cortex stimulation and peripheral nerve field stimulation are suggested in the text. Neuromodulation techniques must be used properly since its misusage may lead them to failure and to become less accepted into the medical community.
Selecting Best Features Using Combined Approach in POS Tagging for Sentiment Analysis

— Today E-commerce popularity has made web an excellent source of gathering customer reviews / opinions about a product that they have purchased. The number of customer reviews that a product receives is growing at a very fast rate. Opinion mining from product reviews, forum posts and blogs is an important research topic today with many applications. Customers use the reviews for deciding quality of product to buy. So, opinion mining may be a Decision making process. It means reviews are given to promote or to demote the product. There is need to find how many reviews are positive and how many are negative. So, to find out it features for which classification is going to be performed should be best or optimal. This Paper presents various approaches of classification for sentiment analysis and proposed work is selecting best feature set such as pos tags from reviews which we can easily classify the review of customer. Only features which are giving best decision for analysis have been selected in pre-processing task and Combination of best feature set will be used to classify reviews.
Maximization of hard N-of-N life time and Accuracy of Wireless Sensor Networks

- Wireless Sensor Networks is a composition of distributed sensors that are capable of signal detection or classification. The previous researches have concluded with the fact that much of the energy is wasted on transmission aspects rather than sensing in the scenario of sensor networks. This urges the need for developing a new model that captures the actual relationship between battery lifetime and classification accuracy. The hybrid model proposed combines Fisher Discriminant Analysis along with a Clustering based on Node with Maximum Energy. Also the work focuses to conclude by performing a trade-off between the crucial factors of lifetime and accuracy in the perspective of Wireless Networks.
AN ANALYSIS OF FREQUENT PATTERN MINING METHODS

Finding of association rules is a crucial problem in data mining. Two sub-problems of mining association rules. First find out frequent itemsets from dataset and then develop association rules based on frequent itemsets. The important factor is time required for finding frequent itemsets. All the previous algorithms are not efficient and scalable for mining frequent itemsets in transaction datasets. In this paper, we provide an unifying feature for generating frequent itemset algorithms. The performance analysis with Wine, Hepatitis, Heart datasets. The algorithms analysis using different minimum support, number of rows and columns.
Volatility Estimation using Extreme-Value-Estimators & MLP Model

Neural networks are the artificial intelligence techniques for modeling complex target functions. Now-a-days it has made remarkable contributions to advancement of various field of finance such as time series prediction, volatility estimation etc. The present work examines the volatilities in the Indian stock market (BSE-SENSEX & NSE-NIFTY) by comparing the volatilities, using Parkinson method, Roger Schell model, German Klass & ANN models. The work concludes that, there is no difference between the models in arriving at volatility in both the indices.
Implementation of Power Aware Routing Protocol for Ad-Hoc Network in Matlab

Mobile Ad-hoc NET work (MANET) is an autonomous system of mobile hosts connected by wireless links. The nodes in these networks have several constraints such: limited bandwidth, transmission range and mobility. Another parameter that significantly affects the network performance is the limited battery power of the nodes. This paper proposes a novel routing protocol that considers two parameters: Hop count and Total Transmission loss. On the basis of these two route metrics an optimal path is proposed. The proposed protocol is implemented in MATLAB 2013a and our result also shows that our proposed protocol is better than other standard protocols such as MTPR (Minimum Total Transmission Power Routing) and AODV (Ad-hoc On demand Distance Vector routing).
A Hybrid Approach to detect a text in Digital Images

— In this paper we present an effective approach to detect text from an image. Detecting text from an image is of great demand. Image that contains text usually have a wide variety of applications. In this paper we present an edge based approach to detect text from an image. Given an input image it is first pre-processed to remove any noise; the image is grouped into different color layers and a gray component. The region with a possibility of text in the image is detected. This approach utilizes the fact that usually the color data in text characters is different from the color data in the background. The process of localization involves further enhancing the text regions by eliminating non-text regions. Dilation operation is then performed on those texts to group them, thereby eliminating pixels that are far-away from the candidate text regions. The robustness of this approach is concluded by conducting various experiments on images with complex style, type, background, scaling etc. The results from this proposed approach shows us that it is far superior to the existing approaches in terms of false positive and false negative. Experiments are conducted over a large volume of ICDAR datasets to demonstrate the effectiveness of our proposed method .
The Comparison of Big Data Strategies in Corporate Environment

--------------------------------------------------------------------- Abstract - The growth in an organization’s business leads to tremendous increase in the volume of data generated by it. The data may be in a structured, unstructured and/or in semi structured format. Big data is the way how these business organizations handle this data. The aim of this paper is to identify a suitable big data strategy for organizations to handle large volume of data in a fast and efficient manner.To do that existing research in the field of data warehousing and business intelligence has been reviewed and our findings are synthesized in a contingency matrix that may support practitioners in choosing a suitable big data approach. Though any strategies can be beneficial for certain corporate circumstances, the Hybrid approach is a combination of traditional relational database structures and Map Reduce technique which is the strategy that is most valuable for companies pursuing business analytics.
Structural Parameters Analysis of Mg Doped ZnO Nano Particles for Various Mg Concentrations

Mg doped ZnO nano particles were synthesized by chemical precipitation method and post processing was performed at two different annealing temperatures. The structural characterization was performed for all Mg doped ZnO samples using XRD and their results were compared with the results of undoped ZnO nano particles. As grown samples were the mixture of randomly orientated ZnO nano crystals along with Zn(OH)2 compounds and confirmed by XRD spectra. Annealing process was aided to decompose Zn(OH)2 compounds and observed pure ZnO compounds with preferred (100), (002) and (101) orientations. The peak intensity of preferred orientations was varied with respect to Mg concentrations and low for the samples of 6% M Mg (6MZO) annealed at 500°C. Highly intensive peak was noticed for 700°C annealed samples. Peak shifting towards low and high 2 values was noticed for 6MZO samples annealed at 500°C and 700°C respectively. Mg doping was influenced the crystallite size of ZnO nanoparticles and low value was observed with 6MZO sample. The lattice parameters of undoped and Mg doped ZnO nano particles were slightly changes with respect to the Mg concentrations and higher value was noticed with ≥8 M% of Mg in ZnO. The dislocation density was also dependent on Mg concentrations as well as annealing temperatures and low values were noticed with low Mg concentrations for (002) oriented phase at annealed conditions. As grown samples were influenced by the mixture of tensile and compressive stress and high & low values in tensile stress were noticed with (002) orientate of 6MZO samples (9.18 x 10) and (100) orientation of 2MZO samples (8.76 x 10) respectively when annealed at 700°C.
Understanding and Communicating Perioperative Risk

In healthcare, risk is defined as the probability of quantifiable injury, loss or harm associated with medical interventions. We use the term in an epidemiological sense, as the cumulative incidence. We will mostly discuss perioperative risk of mortality as there is reasonable data and it is unclouded by issues of definition or diagnosis. This principle of cumulative incidence is obvious in the 5 or 10 year periods that cardiovascular risk calculators such as the New Zealand version of the Framingham risk tool use(1). There are two dimensions to risk, the absolute instantaneous risk and the time evolution and each contribute to the total cumulative incidence or risk.
An Intelligent Transport System using Road Side Unit for Certificate Oriented Communication in VANET

The motor_vehicle, VANET_NWs consumes significant statistics in allocation as well as documents provision facilities. It is necessary to accumulate, controller traffic_flow circumstances. Structure traffic_flow system has deployed units on road side, likewise in the direction of accumulating, conveying collision evidence of having switch over centralized technique. Although some motor_vehicle VANET_NWs construction remained anticipated, established continuously expectable transportations in addition to scheduling a motor_bus, deliberated enchanting improvement of collision structure has previously remained abounding by carrying system. In this current work, we proposed two-tier motor_bus which is integrated with road side units. In our suggested structural design, the communication of automobiles benefits more compare to existence of motorbus and also consider effects of using units on street side.
FIBROUS SILICA-HYDROXYAPATITE COMPOSITE BY ELECTROSPINNING

New nanocomposite membrane was fabricated by electrospinning. The nanocomposite combines a glass and hydroxyapatite (HA). This research proposed the incorporation of glass to counteract the brittleness of HA in a composite formed by coaxial fibers which will be used for bone replacement. Calcium phosphate ceramics are used widely for dental and orthopedic reasons, because they can join tightly through chemical bonds and promote bone regeneration. Precursors HA and SiO2 were synthetized through the sol-gel method and then incorporated into a polymeric PVP matrix; later they were processed by coaxial electrospinning to obtain fibers with an average diameter of 538 nm which were characterized with techniques such as Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy, Differential Thermal Analysis and Scanning Electron Microscopy. Chemical and physical characterization of the membranes evidenced fibers in a coaxial disposition with a glass core and hydroxyapatite cover. The micro-porous fibers have many potential uses in the repair and treatment of bone defects, drug delivery and tissue engineering. Through ATR-FTIR and SEM-EDX analysis the presence of characteristic chemical groups, the fiber composition and microstructure were determined.
A HYBRID TECHNIQUE FOR COPY-MOVE FORGERY DETECTION IN DIGITAL IMAGES

With the high availability of image-editing softwares, authenticity of images is a major concern. This has led to the various forgery detection methods to check if a particular image is doctored or original. Copy-Move is a most difficult forgery to detect as the part which is pasted is taken from the same image. In this paper, a hybrid approach by combining the features of DCT (Discrete Cosine Transform) and SURF (Speeded Up Robust Features) has been proposed. This technique will show significant results against attacks performed by geometric transformations like rotation, scaling etc and is also robust to noise, blur and compression. Experimental results will prove that the proposed hybrid technique is better than Keypoint based methods in terms of reliability and block based methods in terms of efficiency.
Web service QoS Based Broker Architecture and Heuristic Algorithm applied for an Apartment Management system

Web Services are based on distributed technology and provide standard means of interoperating between different software applications across and within organizational boundaries. Web Services technologies allow interaction between applications. Sometimes a single service given alone does not meet user’s needs. In this case, it is necessary to compose several services in order to achieve the user’s goal. Quality of Service (QoS) support in web services plays a great role for the success of this emerging technology. In this paper, we presentQoS broker-based architecture for web services. The main goal of the architecture is to support the client in selecting web services based on his/her required QoS It also presents an efficient method to finding the suitable web service based on the consumer’s requirements along with QoS. We intend to use this architecture for several services like Loan system,location based search etc.
Standardization versus Localization with Impacts of Cultural Patterns on Consumption in International Marketing

For a company to go global, a primary question to be answered is what should be a suitable approach in international marketing strategy, whether they standardize or localize their marketing strategy to adapt to the out-of-country markets that they want to penetrate in. It also is the challenge for global corporations to decide what marketing strategy to adopt (Kotler, 2009). Nevertheless, the issue is not whether to go global but how to tailor the global marketing concept to fit each business and how to make it work (Quelch & Hoff, 1986). In the international marketing, a number of elements including macro and micro economic environment, legal issues, culture and infrastructure should be thoroughly considered. Among these elements, the culture plays a vital role in developing the international marketing strategy for a firm.This paper is to discuss about the standardization and localization in the international marketing strategy with advantages and disadvantages of both approaches. The further discussion of impacts of cultural patterns on consumption is addressed in both standardization and localization marketing strategy. Keywords: International Marketing Strategy, Standardization, Localization, Adaptation, Customization, Culture, Acculturation, Cultural Patterns.
ANTIHYPERTENSIVE EFFECTS OF NIGELLA SATIVA: WEIGHING THE EVIDENCE

Objective: Hypertension causes 7.5 million deaths annually worldwide. Antihypertensive drugs cause side effects, potentially leading to non-adherence, hence uncontrolled hypertension and increased risk of cardiovascular morbidity and mortality. Therefore, there has been increasing interest in alternative pharmacological treatments for hypertension, one of which is black cumin, or Nigella sativa, a traditional medicine that has been empirically used. This evidence-based case report aims to evaluate the current evidence for the effectiveness of Nigella sativa in reducing blood pressure in a mildly hypertensive patient. Methods: A literature search was performed on MEDLINE, TRIP Database, Clinical Key, ScienceDirect, and DynaMed, using the keywords “nigella sativa”, “hypertension”, and “blood pressure” with all their synonyms and related terms. The included studies were two systematic reviews and two clinical trials, which were then critically appraised. Results: Out of the four studies, three were considered valid. In terms of importance, Sahebkar et al. showed a reduction of the weighted mean difference (WMD) by Nigella sativa: −3.26 mmHg, 95% CI: −5.10, −1.42, I2 = 59% for systolic blood pressure and WMD: −2.80 mmHg, 95% CI: −4.28, −1.32, I2 = 60% for diastolic blood pressure. Badar et al. concluded that Nigella sativa significantly reduced systolic and diastolic blood pressure compared with the control group. Two studies were considered applicable to our patient in question. Conclusion: The current evidence for the effect of Nigella sativa in lowering blood pressure is limited. However, one study gives strong evidence for significant antihypertensive effects of Nigella sativa. In mild hypertension, Nigella sativa could be one of the therapeutic options.