Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of sunflower (Helianthus annuus L.) for phytoremediation of lead contaminated soil

Lead is a toxic metal that affects plant growth and the environment. Phytoremediation utilizes plants to uptake contaminants and can potentially be used to remediate metal-contaminated sites. The aim of this study was to determine the effects of heavy metal (Pb) on plant growth and examine their uptake by different organs of sunflower ,and evaluated the lead (Pb) bioaccumulation potential of sunflower (Helianthus annuus L.). A pot experiment was conducted in a Completely Randomized Block Design (CRBD), with six treatments and three replications, Seeds were grown in plastic pots filled with 10 kg of soil. Lead was applied at the rates of 0; 50; 100; 150, 200 and 250mgPb.kg soil. The total concentration of these metals was measured in the roots, stems, leaves, whole plant, and the corresponding soil. The levels of photosynthetic pigments i.e. chlorophyll a and b, carotenoids, root, shoot and whole plant dry weight not affected significantly as the Pb concentrations increased, compared with control. Whilst at higher concentrations of Pb, there was a significant decrease in RWC and plant height. The Pb contents in the plants increased linearly with the Pb exposure concentration with the highest Pb content in the roots . The concentrations of Pb in the three parts of Pb-treated plants were in the order: roots > stem > leaves. In addition, the determination of a bioconcentration factor, a translocation factor and tolerance index showed that sunflower was suitable for phytoextraction of Pb in all treatments. It is concluded from this study that sunflower plant can absorb and accumulate quantities of lead without affecting the production of biomass, indicating the possibility of using it as hyper accumulator successfully.
Novel authentication framework for securing communication in internet-of-things

Internet-of-Things (IoT) offers a big boon towards a massive network of connected devices and is considered to offer coverage to an exponential number of the smart appliance in the very near future. Owing to the nascent stage of evolution of IoT, it is shrouded by security loopholes because of various reasons. Review of existing research-based solution highlights the usage of conventional cryptographic-based solution over the traditional mechanism of data forwarding process between IoT nodes and gateway. The proposed system presents a novel solution to this problem by a model that is capable of performing a highly secured and cost-effective authentication process. The proposed system introduces Authentication Using Signature (AUS) as well as Security with Complexity Reduction (SCR) for the purpose to resist participation of any form of unknown threats. The outcome of the model shows better security strength with faster response time and energy saving of the IoT nodes.
Casual Reading Habits and Interpersonal Reactivity: A Correlational Study

Empathy, as a factor has been widely researched about in counselling and clinical situations. Most recently, it is being explored in terms of positive psychology. Several studies have linked empathy to general well-being and life satisfaction of people. It has also shown a reduction in social conflicts and increased peace-keeping intentions. Therefore it is important to understand factors that can lead to an increase in empathy in individuals. This is a study that attempted to understand if there is a relationship between casual reading and interpersonal reactivity-which measures dimensions of cognitive and emotional empathy. Reading has been linked to several benefits for people among which are also emotional and cognitive maturity. This study tried to understand if these benefits extend to include empathy as well. The respondents were all postgraduate students chosen through convenient sampling method. For this purpose, the researcher developed a Casual Reading Checklist which was aimed at understanding the frequency and range of the casual reading habits of people. A total reading habit score was derived out of the same. Along with this, the Interpersonal Reactivity Index (Davies, 1980) was administered to respondents. This scale helps understand empathy over four distinct dimensionsPerspectivetaking, Fantasy, Empathic Concern and Personal Distress. A correlation analysis was undertaken to check if there was a relationship between the dimensions of empathy and casual reading habits. Results indicated a significant correlation between casual reading habits and the combined score from the dimensions of Cognitive Empathy. This was an attempt to understand if there is a possibility of using the habit of reading in the form of psychotherapy for general wellbeing and life satisfaction-at the individual as well as the societal level.
Preventing VANET From DOS & DDOS Attack

—. VANET is an emerging technology; it is a special class of MANET. There are many challenges that must be addressed before it can be successfully deployed. In recent years, not much work is done in the field of security. For security, availability of network is must be obtained at every time since availability of the network is crucially needed when a node sends any important information to other nodes. Nevertheless, it can be expected that security attacks are likely to increase in the coming future because of more and more wireless applications being developed and deployed onto the well-known expose nature of the wireless medium. In this regard, the network availability is exposed to many types of attack. In this paper, Denial of Service (DOS) attack on network availability is presented with its severity level in VANET environment. A technique to secure the VANET from DOS attack has been introduced and some possible solutions to overcome the attacks have been discussed.
Automatic Emotion Recognition Using Facial Expression: A Review

- This paper objective is to introduce needs and applications of facial expression recognition. Between Verbal & Non-Verbal form of communication facial expression is form of non-verbal communication but it plays pivotal role. It express human perspective or filling & his or her mental situation. A big research has been addressed to enhance Human Computer Interaction (HCI) over two decades. This paper includes introduction of facial emotion recognition system, Application, comparative study of popular face expression recognition techniques & phases of automatic facial expression recognition system.
Watermarking Technique For Protection in Tampering for High-Efficiency Live Video

 Abstract — As new information technology has improved the ease of access to digital information, it lead to the problem of illegal copyright and redistribution of digital media. Among all media video is becoming increasingly important in wide range of application where authentication and integrity of video is critical. Also with the speedy development and wide use of Internet, and transmitting information faces a big challenge of security. So, people need a safe and secured way for transmission of information. Digital watermarking is a well know solution of data hiding in digital media, which provides security to the data. To detect and prevent video tampering and distinguish it from common video processing operation such as noise, and brightness increases or decreases, recompression using a practical multiple time watermarking scheme for real-time authentication to the digital video is important. Our method can be easily configured to adjust transparency, capacity as well as robustness of the system according to the specific application. In addition, content-based cryptography is used to increases the security of the system. In addition, it addresses the main key performance indicators which include robustness, capacity, speed, fidelity, imperceptibility and computational complexity.
A Survey on Deep Learning Approaches in Retinal Vessel Segmentation for Disease Identification

: Human retinal image plays a vital role in detection and diagnosis of various eye diseases for ophthalmologist. Automated blood vessel segmentation diagnoses many eye diseases like diabetic retinopathy, hypertension retinopathy, retinopathy of prematurity or glaucoma based on the feature extraction. Automated image analysis tool based on machine learning algorithms are the key point to improve the quality of image analysis. Deep learning (DL) is a subset of machine learning which is completely based on artificial neural network. It helps a machine to analyze the data efficiently. Deep learning is one extensively applied techniques that provides state of the art accuracy. Different types of neural network and platform used for DL also discussed. This paper reviews the different DL approaches for blood vessels segmentation. It concludes that the deep learning methods produces high level of accuracy in disease identification
Importance of Motivation on Physical Activity Behavior and Knowledge about Benefits of Physical Activity

Motives for participating in physical activity were assessed through a questionnaire (MPAM-R) and were used to measure motives to participate in physical activity (PA). Two groups of university students with the same major (kinesiology/healthy lifestyle) from two different countries took the questionnaire and a multivariate analysis of variance (MANOVA) revealed a significant difference between the two groups in their motives for participating in physical activity: Wilks’ λ = . 78, F(5, 69) = 3.79, p = . 004, partial η 2 = . 22. Also, the group with the lower motivation to participate in PA were significantly younger (p < .01), had lower BMI (p = .02), had higher PA measured with pedometers (p <. 01), and were more knowledgeable about benefits of PA (p < .001). The results suggested that higher motivation to participate in PA measured by MPAM-R not be enough to influence PA behavior positively. However, whether a student was from the Czech Republic or U.S. (Beta = -.51) the score on the Interest/Enjoyment intrinsic motivation factor (Beta = 3.5) was statistically significant predictor (p<.001 for both) and accounted for 35% of the total variance (r = .60) in knowledge score about the benefits of PA.
FREQUENCY OF PARTIAL EDENTULISM AND AWARENESS TO RESTORE THE SAME: A CROSS-SECTIONAL STUDY IN THE AGE GROUP OF 18-25 YEARS AMONG JAMMU & KASHMIR STUDENT POPULATION

Treating partial edentulism forms a major share of Prosthodontic clinical practice. The purpose of this study was to find out the frequency of partial edentulism, its arch distribution status, awareness to restore, and the ratio of removable to fixed prosthesis among a student sample aged 18-25 years. The methodology selected was a questionnaire survey followed by clinical examination of the student community from Jammu. The results showed that the frequency of partial edentulism among the surveyed group was significant with predominance in maxillary posterior edentulism in women. Though there was not any significant gender difference in the partial edentulism, women were more aware than men to restore it. All restored cases were with fixed bridges and no anterior edentulism was found. The study also revealed a lack of awareness and need to educate the population.
A Review on Routing Protocols in Wireless Mesh Networks

Wireless mesh networks have the potential to deliver Internet broadband access, wireless local area network coverage and network connectivity for stationary or mobile hosts at low costs both for network operators and customers. Routing is fundamental characteristics of wireless mesh network. The strengths and weakness of routing protocol are reflected directly in WMN’s characteristics . This paper studies various types of routing protocols that are used in wireless mesh networks. This paper also provides mesh protocols functionality, characteristics and comparison analysis.
A Gender-Based Approach: Service Quality and Customer’s Loyalty

This study explores moderating role of branch managers as gender on the service quality and customer’s loyalty in Private Banks of Pakistan. This study seeks additional insights through comparison of the strength of influence of gender as male and female. Data was collected using convenient sampling technique from 175 respondents of two large private banks through selfadministered questionnaire. Statistical software package for social sciences was employed for data analysis Regression analysis and Andrew Hayes methodology of moderation has been used to analyze data. Response rate in this study was 87.50%. there is significant relationship of service quality with customer’s loyalty. Gender moderates the association of service quality and customer’s loyalty. But, impact of male gender is higher than female as moderator on relationship of service quality and customer’s loyalty. Male branch managers moderate the association of service quality and customer’s loyalty. There is nonsignificant impact of female branch managers on the relationship of service quality and customer’s loyalty. This study will help the management of banks to assess and improve level of service quality in retail banking in order to retain existing customers, grasp new customers and enhance their loyalty.
Language Identification Using Ergodic Hidden Markov Model

— The objective of the language identification (LID) is to quickly and accurately identify the language being spoken. The language identification system require segmented and labelled speech corpus for identification. In this paper, a discussion has been carried out as the development of LID system which rely on features derived from speech signals, and do not need labelled speech data at any stage of the identification task. The existing language identification systems vector quantization (VQ) and Gaussian mixture model (GMM) perform primarily static classification, In that the system feature vectors are to be independent of each other and no use of feature vector sequences is made. The current language identification systems based on Hidden Markov model (HMM) use the sequential characteristics of speech signal. A language identification study using acoustic features for different HMM states and mixtures, has given a good performance. The language identification studies on OGI_MLTS database have been demonstrated.
“Super Resolution By Using Gradient Profile Sharpness” (Survey Paper)

To generate high resolution image from a low resolution input image single image super resolution is used. Single image super resolution is used to enhance the quality of image. In this paper there is a image super resolution algorithm is proposed which is based on GPS Gradient Profile Sharpness. Extract GPS from two gradient profile description models.GPS contain two model one is triangle model and second is mixed Gaussian model. Finally the HR(High Resolution)image is generated which has better visual Quality, lower resolution error. The aim of single image super resolution is to construct a high resolution image from LR(low resolution)image input. transformation gradient profiles to generate the target gradient field in HR image.
Survey Paper for Credit Card Fraud Detection Using Data Mining Techniques

: Nowadays, the Credit card usage is increasing day by day for both regular purchases as well as online. In every transaction of credit card, the bank should check the fraud detection. Everywhere, the fraudulent transactions are generated in new ways by the fraudsters. Banking industry, mostly use Data Mining techniques for credit card fraud detection. The detection techniques is mostly based on the methods like Decision Tree, Clustering techniques, Neural Networks and Hidden Markov Model, these are evolved in detecting the various credit card fraudulent transactions. This paper presents the survey of those techniques and identifies the best fraud cases.
Improvement of the Integrated System for Automated Design of Engineering and Technological Preparation of Additive Production

: The paper considers the improvement of the automated design system for the design and technological preparation of additive production. The software developed by the authors and the software components of the design and technological preparation of production allow for the layout of the equipment working chamber, the generation of three-dimensional modeling, and the creation of control commands in the G-code format. The possibilities of using computer modeling at the stages of manufacturing products by means of 3D printing have been determined. The similarity of technological processes makes it possible to speak of the applicability of the developed techniques for all types of additive production equipment.
OWNERSHIP STRUCTURE, RISK TAKING AND FIRM PERFORMANCE: A CASE FOR AN INTEGRATIVE FRAMEWORK

Studies on ownership structure and firm performance are inexhaustible. This is due to the growing contradictory, inconclusive and inconsistent empirical findings which give rise to growing concerns and suggestions for the integration of latent variables to best explain the observed unclear relationship. This would mean adopting more of an integrated (moderation or mediation) rather than direct research framework in an attempt to explain the relationship between ownership structure and firm's performance better. This paper thus examined the ownership structure and firm performance with risk-taking behaviour as a moderator. As conceptual paper, a review of agency and stewardship theories as well as prospect theory along with each dimension of ownership structure is conducted. From the extensive review, it was found that risk taking is an integral part of organizational life. Consequently, an integrative framework that incorporates risk-taking as a moderator in the relationship between ownership structure and firm performance is proposed. This paper concluded that International Journal of Economics, Commerce and Management, United Kingdom Licensed under Creative Common Page 789 the application of this framework would offer better explanation of the relationship between ownership structure and firm performance taking into account the risk preferences of the enterprise.
A survey in antecedents of cynicism about change in a judicial organization

Cynicism about change is defined as pessimistic viewpoint about change efforts being successful because those responsible for making change are blamed for being unmotivated, incompetent, or both. It may be caused by, According to researchers, either personality traits or situational factors. Based on this assumption, we selected 132 employees from a judicial organization and gathered necessary data by five questionnaires. Structural equation modeling (SEM) results showed that participation in decision making, organizational justice (all positively), hostile personality and psychological contract violation (all negatively), have significant impact on cynicism about change and they aggregately can explain 41 percent of its variance. [Mohammad Javad Hozoori, *, Mojtaba Rafiei, Pouri Safari. A survey in antecedents of cynicism about change in a ). 1003 1545 : ISSN ]. ( 982 974 ): 5 ( 7 ; 2011 Journal of American Science . dicial organization ju org . americanscience . www :// http
A Novel Video Watermarking Scheme Based on DWT and PCA

: Digital Video Watermarking is one of the great applications of hiding the data in the video for many kind of application like copyright information hiding, secure data travelling etc. Various watermarking techniques are popular in the research community e.g. Discrete wavelet transform (DWT), Discrete cosine transform (DCT), Principal component analysis (PCA). In this paper, Video Water Marking (VWM) scheme related to DWT and PCA is used.DWT and PCA are utilized in the proposed algorithm which enhances the watermarking embedding and decrypting technique. An Arnold’s cap map method has been introduced in the DWT mechanism due to which the algorithm become more robust and difficult for the attackers. Data are embedded in the LL –HH sub-band of wavelet coefficients and decoding is encountered based on difference and comparison of elements of the first principal component. The resultant video is unsusceptible to much kind of attacks like uniform, Gaussian Noise and Median Filtering.
Identifying the snake: First scoping review on practices of communities and healthcare providers confronted with snakebite across the world

Background Snakebite envenoming is a major global health problem that kills or disables half a million people in the world’s poorest countries. Biting snake identification is key to understanding snakebite eco-epidemiology and optimizing its clinical management. The role of snakebite victims and healthcare providers in biting snake identification has not been studied globally. Objective This scoping review aims to identify and characterize the practices in biting snake identification across the globe. Methods Epidemiological studies of snakebite in humans that provide information on biting snake identification were systematically searched in Web of Science and Pubmed from inception to 2nd February 2019. This search was further extended by snowball search, hand searching literature reviews, and using Google Scholar. Two independent reviewers screened publications and charted the data. Results We analysed 150 publications reporting 33,827 snakebite cases across 35 countries. On average 70% of victims/bystanders spotted the snake responsible for the bite and 38% captured/killed it and brought it to the healthcare facility. This practice occurred in 30 countries with both fast-moving, active-foraging as well as more secretive snake species. Methods for identifying biting snakes included snake body examination, victim/bystander biting snake description, interpretation of clinical features, and laboratory tests. In nine publications, a picture of the biting snake was taken and examined by snake experts. Snakes were identified at the species/genus level in only 18,065/33,827 (53%) snakebite cases. 106 misidentifications led to inadequate victim management. The 8,885 biting snakes captured and identified were from 149 species including 71 (48%) non-venomous species. Conclusion Snakebite victims and healthcare providers can play a central role in biting snake identification and novel approaches (e.g. photographing the snake, crowdsourcing) could help increase biting snake taxonomy collection to better understand snake ecology and snakebite epidemiology and ultimately improve snakebite management.
Image Compression and De-noising using Discrete Meyer Wavelet Technique

-The main objective is to examine the still image format lossy compression and de-noising using Discrete Meyer Wavelet Technique. The compression and de-noising is implemented in software using MATLAB2012b version Wavelet Toolbox and 2-D DWT technique. The purpose is to analyze compression and de-noising using wavelet family such as Discrete Meyer. The experiments and simulation is carried out on image . jpg formats. This research work highlighting compression and adding ‘Salt & Pepper’ noise and de-noising. The scope of the work involves Compression, De-noising and image clarity and to find the effect of the threshold levels, to find out energy retained (Image Recovery) and lost, to find PSNR and MSE. The wavelet differs from each other in PSNR and MSE. This method is compared and classified in terms of its efficiency at different threshold values. Therefore, the image recovery is good and clarity, but the percentage of compression and retaining the energy is different. In order to quantify the performance of the de-noising, a ‘Salt & Pepper’ noise is added to the image and given as input to the de-noising algorithm, which produces an image close to the original image.