Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of Substitute Ivory Product in Illegal Wildlife Trade using Morphological and DNA Based Analysis in Wildlife Forensics in India

The illegal trade of wildlife articles in the form of ivory, bones, horns, skin, hair and their derivatives has cost the lives and existence of many threatened species around the world. The increase in the price of ivory, because of short supply and high demand, as a result of ban on sale and display of ivory and its products in India have forced the craftsmen to use ivory substitutes (bones, resins, antlers, plastics and wood) which resembles the ivory to a much extent. Thirty two such suspected ivory plates having the paintings of Moghul era on them suspected to be made up of ivory material were seized by the law enforcement authorities at Delhi and were sent to the Wildlife Institute of India, Dehradun, India for the identification of species. We successfully identified the species using morphological and DNA based wildlife forensic techniques. The absence of both the fluorescence in response to ultraviolet (UV)-rays and Schreger lines on cross sections proved the non ivory origin of all three seized articles. The mitochondrial cyt b gene was sequenced for the identification of species of the seized suspected ivory products. Two suspected ivory plates which were randomly chosen from the seizure were found to be of water buffalo (Bubalus bubalis) on the basis of BLAST search at NCBI, USA and Neighbor-Joining (NJ) tree with high bootstrap values. Our results support the earlier reports of using substitute ivory and prove that these type of items still floats in illegal wildlife trade markets. Therefore, the development of DNA data base of all species threatened by the wildlife trade, on priority basis, will be very useful in identification of species of origin of seized articles and the implementation of wildlife protection laws and ultimately for the conservation of wild and other species.
Optimization of Clustering Problem Using Population Based Artificial Bee Colony Algorithm: A Review

— The Artificial Bee Colony (ABC) algorithm is a population based meta-heuristic algorithm proposed by Karaboga in 2005 inspired by the intelligent foraging behaviour of honey bees. ABC as a powerful technique is easy to implement, has fewer control parameters, and could easily be integrated with other meta-heuristic algorithms due to which it continues to attract the interest of researchers from various fields around the world. Interestingly, ABC has been successfully applied to a wide variety of optimization problems. Clustering is an unsupervised classification mechanism where a data, usually multidimensional is classified into groups called clusters such that members of one group are similar according to a predefined criterion like minimizing square error criterion. The aim of this paper is to provide an extensive (not exhaustive) overview of modification to the original ABC and its application in solving Clustering problems with the expectation that it would serve as a reference material to both old and new, incoming researchers in this field.
Evaluation of Object Based Video Retrieval Using SIFT

 Abstract — In Video Retrieval system, each video that is stored in the database has its features extracted and compared to the features of the query image. The local invariant features are obtained for all frames in a sequence and tracked throughout the shot to extract stable features. Proposed work is to retrieve video from the database by giving query as an object. Video is firstly converted into frames, these frames are then segmented and an object is separated from the image. Then features are extracted from object image by using SIFT features. Features of the video database obtained by the segmentation and feature extraction using SIFT feature are matched by Nearest Neighbor Search (NNS). In this paper we have evaluated the proposed video retrieval system. The proposed method is better than previous video retrieval methods because it is invariant to illumination changes.
The Mediation Effect of Emotional Labour between Emotional Intelligence and High Performance Work System among Bank Employees in Chennai

This study is to discover the relationships between emotional intelligence, emotional labour and high performance work systems among private bank employees in Chennai. A convenience sampling method was adopted. 100 middle level employees from private banks were employed for this purpose. The mediation was tested using Baron and Kenny’s procedure using hierarchical regression. It was found that emotional intelligence was positively associated with both emotional labour and high performance work system. Emotional labour completely mediates the relationship between emotional intelligence and high performance work system. Keyword--Emotional intelligence, emotional labour, high performance work system
Functional Adrenocortical Oncocytoma Presenting with Hyperandrogenism andSeizures

A 38-year-old woman was referred to an Endocrinologist with sudden onset of a variety of clinical symptomsepileptic seizures, amenorrhea, weight gain, hirsutism and sexual dysfunction. Her physical examination and biochemical investigations, including blood sugar were normal. Blood pressure was 110/80 mmHg. A right adrenal tumor was detected on ultrasonography and computed tomography. Blood levels of dehydroepiandrosteronesulphate, testosterone and aldosterone were increased 2.2, 7.6 and 1.6 times higher than maximal normal values respectively. The aldosterone/renin ratio was 176. The laparoscopic excised tumors of the right adrenal gland weighed 137 g and was red-yellowish-brown with the intact capsule. Histology of the tumor showed round, oval or polygonal cells with abundant granular eosinophilic cytoplasm. Nuclei were oval, basophilic and with nucleoli. Focally pleomorphic nuclei were noticed. The cells formed nests and trabeculae. Histological picture was suggestive for oncocytoma. Immunohistochemical investigations showed: alpha-inhibin-diffusely positive in tumor cells, synaptophysin-positive in zones of tumor cells, melan A-diffusely positive in tumor cells, Ki-67-positive in 10% of tumor cells, Chromograninnegative in tumor cells but positive in medullary zone. After the surgery, almost all the hormones returned to normal and were maintained at this level for 12 months post operation. An exception was aldosterone, which was increased, but without symptoms of hyperaldosteronism. The patient did not report any seizures after the surgical treatment. Sexual function regained 6-12 months post-surgery.
Implementation of Latched Comparators in Cardiac IMDs

Cardiac implantable medical devices (IMD) are increasingly being used by patients to benefit from their life saving functions. These medical devices are surgically implanted into the patient’s and are configured byphysicians. Set techniques have implemented for controlling the heart arrhythms and failed. Finally cardiac implantable medical device called pacemaker was first implanted in 1958 and functioned for 3 hours.A pacemaker is a small device placed in the chest or abdomen to help control abnormal heart rhythm. This device uses electrical pulses to prompt the heart to beat at normal rate. pacemakers have two parts.one part, called the pulse generator contains battery and electronic circuits that control heart The other part is leads which contains wires and are used to send electrical signals to the heart. These wires run from the pulse generator to the heart [1,2]. Abstract:Cardiac Implantable Medical Devices are used to benefit the patients with tachycardia or bradycardia. Power consumption is important aspect of cardiac IMDs. SAR reduces the battery life of the cardiac IMDs. Latched comparator in th consumption. Therefore it is desirable to implement a low pow proposed a new architecture for latched regenerative comparator which is suitable to implement in cardiac IMD applications. The proposed circuit dissipates less power when compared with the other existing architectures of latched comparators. In this paper, the proposed circuit is simulated using Tanner EDA tools in 45nm technology. RESEARCH ARTICLE ion, management and engineering sciences NC’e
MILITARY EXPENDITURE AND ECONOMIC GROWTH IN THE CASE OF CHINA: USING ARDL APPROACH

In recent decades, the potential contribution of military expenditure to economic growth has been a subject of much controversy among development economists. While some contend that military expenditure has an adverse effect on economic growth as it crowds out investment. Others are of the view that military spending improves economic performance as it tends to expand aggregate demand. Taking advantage of recent developments in time series econometric methods, this paper re-examines the relationships between military expenditure and economic growth in China, from annual data for the period 1980–2011. The study used autoregressive distributed lag (ARDL) to test for the long-run and short run relationships while granger causality techniques used to examine the direction of causation. The results however indicate that there is an inverse relationship between economic growth and military spending in the short run while the long run results suggest that the correlation among the variables is inconclusive. Similarly, the granger causality tests revealed a unidirectional relationship running from GDP to military spending.
Review paper on Different Techniques in Combination with IDS

: VANET that is vehicular adhoc network is becoming popular among car industries and academic environment. It provides communication among vehicles and is decentralized. The main aim of VANET is providing road safety, enhancing traffic efficiency but it is a network, so VANET also have challenges about security and is prone to attack. To tackle these attacks we introduce the concept of Intrusion detection system. In this paper we presented some security attacks and some of the techniques in conjunction with IDS and also presented a comparison between them.
A Novel Approach towards Tourism Recommendation System with Collaborative Filtering and Association Rule Mining

In the tourism recommendation system, the number of users and items is very large. But traditional recommendation system uses partial information for identifying similar characteristics of users. Collaborative filtering is the primary approach of any recommendation system. It provides a recommendation which is easy to understand. It is based on similarities of user opinions like rating or likes and dislikes. So the recommendation provided by collaborative cannot be considered as quality recommendation. Recommendation after association rule mining is having high support and confidence level. So that will be considered as strong recommendation. The hybridization of both collaborative filtering and association rule mining can produce strong and quality recommendation even when sufficient data are not available. This paper combines recommendation for tourism application by using a hybridization of traditional collaborative filtering technique and data mining techniques.
A Novel Energy Efficient Algorithm for Heterogeneous Wireless Sensor Networks Using Clustering Technique

In order to achieve energy efficiency in wireless sensor networks, the important technique used is clustering. A group of nodes forms the cluster and these members forward their sensed data to the cluster head. Cluster head, on the other hand, aggregates and transmits the data to the base station. This minimizes the data traffic between individual nodes and base station and in turn maximizes network life time. In this paper, we present a novel energy conservation method based on clustering algorithm for heterogeneous wireless sensor networks. Algorithm uses three types of heterogeneity viz. normal, advanced and super nodes with different energy levels. Experiments were conducted with different numbers of above three categories of nodes. It is clear from the experimental results that the proposed method elongates network life time in a better way, allows more messages to be transmitted to the base station and stability period is also high when compared to traditional methods.
Micromorphological and Phytochemical Studies of Aloe barbadensis Mill Root

In Siddha system of medicine dried roots of Aloe barbadensis Mill. Synonyms Aloe vera Tourn ex Linn. Aloe indica Royle belonging to family Liliaceae is known as Kumari Ver. Aloe vera is the oldest medicinal plant ever known and the most applied medicinal plant worldwide. The plant produces at least six antiseptic agents such as lupeol, salicylic acid, urea nitrogen, cinnamonic acid, phenols and sulphur. All of these substances are recognized as antiseptics because they kill or control mold, bacteria, fungus and viruses, hence has the ability to eliminate many internal and external skin infections. The morphological and anatomical characteristics of the root were investigated by hand sectioning and then camera lucida diagrams to ascertain the relevance of these characters in establishment of interspecific similarities and differences in the taxa. The results showed that there is many layered cork cells followed by cortex and a vascular bundle with radial arrangement and exarch xylem. Although, the size and number of vascular bundles are varying the presence of one or two raphide bundles and starch grains is prominent. Phytochemical screening reveal the presence of tannin, saponin and flavonoids. These features both anatomy and phytochemistry clearly help in identification of this plant.
Interference-Aware Routing in Cognitive Radio Ad-Hoc Networks: Challenges and Research Directions

: Cognitive radio ad-hoc network (CRAHN) is an emerging class of mobile ad hoc networks that provides a list of available channels to every node of network. It would find that the traditional routing protocols and routing metrics will not cope well for CRAHN with interference conditions which result in varying delay and connectivity conditions among the terminals. Thus, to reach more realistic routing in cognitive environment of wireless ad hoc networks, routing metric and routing protocol should be designed to conform to traffic and propagation conditions. The inevitably induced latency and interference pose new challenges on existing routing schemes for quality-of-service (QoS). A secondary user (SU) also known as cognitive radio user (CR) suffers from severe interference from primary users (PUs) and other secondary users (SUs). Therefore the secondary transmission must be confined to ensure sufficient operation of PUs, which thereby deteriorates the QoS provisioning. Due to channel switching and users interference, the longer paths will be chosen for transmissions which may create the problem of larger routing graphs and end-to-end delay. The focus of this paper is to highlight the challenges and research directions for dynamic routing of CRAHN. In addition we also performed some simulations using NS-2 (Network Simulator -2) and have some initial results for the dynamic routing. The analysis shows that there is a great need to design the Interference-aware routing for the efficient transmission in CRAHN.
People Movement on The Throughput of Wi-Fi Networks and the Significant Changes that Affect WLAN Performance by using Random Waypoint Mobility Model (RWMM) & Random Direction Mobility Model (RDMM) to Model the JNT University Hyderabad India

: The use of network technologies and facilities has always been explored by users, researchers and experts . One of the issues that the network has to deal with, how to send and receive, and network communications. In this research, we are looking at how people are moving on the throughput of Wi-Fi networks and the significant changes that affect WLAN performance. We examined the background of the research and related protocols, we were trying to model the Jawaharlal Nehru Technological University Hyderabad in India. In conducting research, we concluded that the behavior and scenario of moving network nodes can be simulated into two models and scenarios:
KNN Classification based Nonlinear Noise Delineation in Color Image using Optimized BM3D Filter

Image enhancement using optimized methods along with optimized filters is need of current era. A novel technique is proposed in this paper, which have KNN based pixels classifications strategy. This classification is used to identify noise level and only noisy pixels are processed using optimized BM3D using particle swarm optimization. The outside group pixels are brought back into group thereby removing the noise. The process is further followed by resolution enhancement and Retinex for dynamic presentation purpose. The experimentation results are also included in the paper which shows optimum performance.
Virtual Reality for Upper Limbs in Patients with Parkinson’s Disease: Protocol Study

Background: Parkinson’s disease causes motor impairments with negative effect on activities of daily living. Nowadays, there is no training protocol specialized on functional aspects of the upper limbs in patients with Parkinson’s disease. Virtual reality is considered a ludic activity offering visual and auditory feedbacks. Thus, virtual reality emerges possibly as a therapeutic tool in the neurorehabilitation area. In this paper, we describe a protocol based on non-immersive virtual reality for upper limbs of patients with Parkinson’s disease. Methods: This is a study protocol based on a randomized longitudinal clinical study. Samples will be carried out in hospitals, using the following quantitative and qualitative measures: Parkinson’s Disease Questionnaire, Unified Parkinson’s Disease Rating Scale, Test d’Évaluation des Membres Superieurs of Personnes Âgées and the 9-Hole Peg Test of Upper Extremity Function. To capture the frequency and amplitude of resting tremor, we will use a triaxial accelerometer. Thirty patients between 60 and 70 years old will be invited to the research according to inclusion and exclusion criteria. The samples will be divided into two groups; one will be trained with virtual reality and the other will be trained with conventional physiotherapy. Conclusion: The protocol presented can be an alternative to assess and to treat upper limbs of patients with Parkinson’s disease.
Un-Diagnosed Depression with Suicidal Ideation/Intent among Patients Visiting Medical OPD: Depression in Disguise

Objective: This study was aimed to calculate the prevalence rate of suicide among the patients who regularly visit medical outdoor with psychosomatic complaints. Method: We have selected 750 patients around the country and screened them for depression and suicide. Result: Data shows that the prevalence of suicide is 14.7% per 10,000 persons and rate of depression is 21.8% per 10,000 persons. Preliminary analysis shows the significant correlation between the variables (0.284**), descriptive statistical analysis yielded gender (0.00), age (0.02) and employment (0.05) as a significant contributing factors towards suicide behavior. Conclusion: It is verdict that the health professionals should have in-depth consideration to the symptoms and should investigate about the patients’ psychological well-being.
An Optimal Approach to Solve Rich Vehicle Routing Problem

— This research present a set-partitioning heuristic to generate populations in a hybrid genetic algorithm (hGA) which is able to solve four different variants of the vehicle routing problem: the multi-depot vehicle routing problem (MDVRP), the heterogeneous vehicle routing problem (HVRP), site dependent capacitated vehicle routing problem (SDCVRP) and the asymmetric vehicle routing problem (AVRP). The goal is to find a set of routes with minimum fuel consumption and satisfying a number of predetermined constraints. Initial test results show that the average of improvement rates of the general GA is lower than hGA, 9.72% vs. 19.81%. Routes produced by hGA proposed effectively used for solve rich VRP and especially vehicle routing problem with a large number of customers, depots and vehicles.
Examining Students’ Perception of using Social Media Technologies for Learning Purpose

This study set out to examine the factors that influence postgraduate perception on the adoption social media technologies in learning is social influence. So many factors is said to influence users’ attitude towards the use of a particular technology. In the case of social media technologies, social influence which include parent, lecturers and learning or institutional managements are part of the relevant factors that can militate the adoption of social media for learning purposes. Students might be denied the access to social media technologies in the course of learning for some potentially wrong reasons. If social media technologies are perceived as just for social activities such as gaming and interacting with friends and family, this perception would definitely affect students’ opinion towards the use of social media technologies for learning activities. As such, this present study relies on the Unified Theory of Acceptance and Use of Technology (UTAUT) to provide a comprehensive understanding to university students’ perception of using social media technologies for learning purposes. Keywords : UTAUT, Social media technologies, postgraduate students.
Teak Tree Ring Widths: Ecology and Climatology Research in Northwest Thailand

There are only a few tree species in tropical zones showing the potential for conducting dendrochronology as tropical zones have been the target of logging concessions for a long time. Therefore, there are obstacles to the study of tree rings in these areas where full-grown trees with a significant tree ring width are scarce. Nevertheless, this study attempts to select living teak trees from an elevation range of 100600 m above the sea level (a.s.l.) from Mae Hong Son province, Northwest Thailand. The study sites are isolated. Our research aims to investigate growth, synchronise data between sites, and understand how teak tree ring width responds to ecological position and climate. In this study, we divided the study-site into 5 sites, each site covers different elevation except sites 4 and 5, which are the same elevation. The results revealed that the high correlation amongst the five sites chosen indicates the influence of a common force on the tree growth. The climatic response of teak growth showed that rainfall from the previous December to the next monsoon, March to July, in the current year, directly influences teak growth and, in turn, is negatively correlated with the temperature during the same period. Our results suggest that the teak network in Mae Hong Son province can be used as a high resolution proxy for drought and rainfall reconstruction in northwest Thailand.
Evaluation of glucose in Fermentation of Catharanthus roseus L. G. Don. Extract by Lactic Acid Bacteria

In this study, two species of lactic acid bacteria (Lactobacillus acidophilus LA5, Lactobacillus casei-01) were used for fermentation of Catharanthus roseus L. G. Don. Extract with glucose addition. Also, the results revealed that probiotics were capable of using the C. roseus extract rapidly for cell synthesis and lactic acid production when glucose was added. However, L. acidophilus LA5 produced a greater amount of lactic acid than L. casei-01 and reduced the pH of fermented C. roseus extract with glucose addition from an initial value of 5.95 to 3.54 after 9 days of fermentation at 37 oC. After adding glucose to the C. roseus extract, only glucose and fructose were consumed by the fermented C. roseus extracts by L. acidophilus LA5 and L. casei-01 beacause no change was observed in amount of sucrose and maltose. In addition, the study found that the fermentation had a positive effect on the antioxidant activity of the samples. Also, the antioxidant activity significantly (p ˂ 0.05) increased by adding glucose to the fermentation. The lowest IC50 and the highest FRAP value were 178.41 ± 0.095 μg/mL and 19580 ± 277 μmol Fe+2/L in the fermented C. roseus extract by L. acidophilus LA5 after adding glucose.