Miracle-dz/UniFAR-FTUs huggingface dataset:
Cloud computing based e-learning system to provide easy access of e-contents and web resources for educational institutes in developing countries

In Cloud computing technology based e-Learning system all the academic institutions of a Country or State can be connected globally and they can share the resources and e-contents for e-learning process. To connect the academic institutes for e-Learning system we can think e-Cloud model. The proposed e-Cloud provides the opportunity of flexibility and adaptability to use the computing resources on-demand without physical purchasing or installation at user site. Contrary to having only one service provider in present e-Learning models where the software has to install on each system, different providers use different interfaces to their computing resources utilizing varied architectures and implementation technologies for customers (University or Institutes). Although this can creates a management problem, a common architecture facilitates the management of computing resources from different Cloud providers in a homogenous manner this research have a proposal to reengineer the existing learning architectures, and how educational institutions can manage the cloud computing resources.
Study of the relationship between Emotional Intelligence (EI) and Knowledge Sharing (KS)

Firms can obtain competitive advantages from their employee’s knowledge sharing behaviors. Due to the importance of knowledge in today’s competitive world, an understanding of how to enhance employee knowledge sharing has become critical. Since employees’ knowledge sharing intentions are one of the strong predictors of actual employee knowledge sharing behavior. This paper presents a descriptive-correlative research to understand the relationship among the emotional intelligence of employees and knowledge sharing in lubricant industry. The hypotheses are tested on data collected from 230 employees of a Lubricant Company in Iran; samples were selected by simple random sampling. The EI and KS questionnaires were used as research instruments and the data was analyzed by “Structural Equation Modeling” by “Lisrel” software. The results showed that there is a meaningful positive relationship between emotional intelligence and knowledge sharing. Limitations of this study and future research directions are also discussed. Keywords: Emotional intelligence (EI): Knowledge Sharing: Knowledge Exchange
Identification and tracking of Bemisia tabaci in Saudi Arabia by RAPD PCR and principal component and two-way cluster analyses

The whitefly (Bemisia tabaci) plays an important role in the transmission of plant viruses. The present study aims at evaluating the genetic diversity of Bemisia tabaci in Saudi Arabia by randomly amplified polymorphic DNA (RAPD). Ten populations of insects were collected on tomato and zucchini from six geographical areas in the Kingdom of Saudi Arabia, i.e. Qatif, Ha'il, Al-Hasa, Jizan, Najran, and Riyadh. RAPD-PCR employing 4 primers (OPB-20, OPA-03, OPA-10, and OPA-13) produced a total of 184 population-specific amplicons, suitable for distinguishing the ten populations of Bemisia tabaci. Principal component analysis (PCA) and two-way clustering were used to cluster RAPD markers (amplicons) and/or RAPD profiles (genomes). Nine components with Eigenvalues more than one were resolved by PCA with the first three components accounting for about 45% of the total variance. PCA and cluster analysis could differentiate the ten populations of Bemisia tabaci into two subgroups that largely corresponded to the two host plants.The insects, therefore, could be essentially clustered according to the host plant instead of the geographical region. However, the insects collected on tomato from Najran and Ha'il did not conform to this basic clustering.Within the zucchini cluster, the insects collected from Ha'il showed considerable divergence. Two-way clustering of RAPD amplicons (markers) and RAPD profiles (genomes) improved the display of groups of RAPD amplicons that cluster similarly across the profiles and showed that certain amplicons were uniquely present in certain insect populations. In conclusion, RAPD-PCR might be a useful approach for investigating the genetic variation and interpretation of the ecological distribution of Bemisia tabaci in the Kingdom of Saudi Arabia. [Hayam S. Abdelkader and Mahmoud M. Rifaat. Identification and tracking of Bemisia tabaci in Saudi Arabia by RAPD PCR and principal component and two-way cluster analyses. Am Sci 2013;9(5):563-569]. (ISSN: 1545-1003). http://www.americanscience. org. 73
Influence of Plant Growth Regulators and Explant Type on Multiple Shoot Induction and Somatic Embryogenesis in Sesame (Sesamum indicum L.)

Sesamum indicum L. is used as an important oil crop in the world. For establishing of a simple and a rapid system for in vitro culture of sesame shoot tips and hypocotyls explants were cultured on MS media with differtent combinations and concentrations of PGRs. On medium with 5 mgl -1 BA plus 1 mgl -1 IAA and 1 mgl1 ABA mutliple shoot induction on explants was occurred. Multiple shoot indution on medium supplemented with 2 mgl -1 BA and 0.3 mgl -1 NAA happen with a short phase of callusing. Also MS medium with 3 mgl -1 2,4-D and 0.5 mgl -1 kinetin was a suitable medium for inducing of somatic embryogenic calli with the frequency of sub-culturing potential. Regenerated shoots on both media rooted on MS medium plus 1.5 mgl -1 NAA and 0.03 mgl -1 BA and whole regenerated plantlets formed. Abbreviations: 2,4-D – 2,4-dichlorophenoxy acetic acid; ABA – Abscisic acid; BA – 6 benzylaminopurine; IAA – Indole – 3 – acetic acid; IBA – Indole – 3 – butyric acid; Kinetin – n 6 – Furfyrylaminopurine; MS – Murashige and Skoog medium; NAA – Naphtalene acetic acid; PGRs – Plants Growth Regulators.
Development of Functional Herbal RTS Beverage

Introduction Natural antioxidants like phenolic compounds, are flavonoids which are secondary plant metabolites present in food products of plant origin [1,2] can trap the free radicals directly or scavenge them through a series of coupled reactions with antioxidant enzymes [3]. They also exhibit a wide range of biological effects, including antiageing, antimutagenicity, and protective effects on oxidative stress [4-7]. Tinospora cordifolia an indigenous plant used in Ayurvedic medicine is commonly known as (Gulancha) belonging to the family Menispermaceae has chemopreventive [8], anti osteoporetic [9], hepatoprotective [10], immuno modulatory [11], Antihperglycaemic [12], antitumor [13] and antiallergic [14] properties. They were effective in scavenging superoxide anion radical and inhibited deoxyribose degradation by scavenging hydroxyl radical directly. Tinospora cordifolia contains phytochemicals such as polyphenols, flavonoids and tannins which has a strong free radical scavenging activity. In methanol, ethanol and water extracts Tinospora cordifolia exhibited an excellent antioxidant activity [15]. Ocimum belonging to family Lamiaceae is commonly used to treat different diseases [16] and its antioxidant effectiveness was even more than that of BHA (butylhydroxyanisol) or BHT (butylhydroxytoluene) [17]. In addition to this, a fresh herb has a smoother flavor than a dried one and many alcoholic beverages with basil have excellent sensory properties. These beverages are rich in amounts of vitamin C, thiamin, and riboflavin and also have a good shelf life too due to their antimicrobial substances [18]. The sweet orange fruit is processed commercially in to various forms mainly juice, frozen concentrates, squash, RTS drinks, etc. providing 45 kcal, moderate quantity of vitamin C, potassium, bioflavonoid and folic acid and essential items of breakfast. It is refreshing, thirst quenching and energizing drink that improves health and nutritional requirements [19]. Hence, in the light of above research facts, the present investigation was under taken with objective to incorporate antioxidant rich herbal extracts of tinospora stem and basil leaves for the development of delicious and nutritious RTS beverage that could therapeutically help in improving the health of consumers and to *Corresponding author: Prof. D. K. Chauhan, Botany Department, University of Allahabad, Allahabad, Uttar Pradesh, India, E-mail: dkchauhanau@yahoo.com
Effects of allelopathic three medicinal plants on germination and seeding growth of Portulaca oleracea.

The use of plants allelopatic properties is one of the methods of weeds control against each other which nowadays is performed vast research about that. In this research, the effect of essential oils as medical plants Artemisia annua L. , Rosmarinus officinalis L. and Lavandula vera L. with 5 level (0, 250, 500, 750, 1000ppm) was evaluated on weeds of Cynodon dactylon L. Result indicated different concentration essential oils plants Artemisia annua L. , Rosmarinus officinalis L. and Lavandula vera L. had strong reduce in germination rate, Radicle length and plumule length weed. The highest concentration (1000ppm) essential oil of Artemisia annua L. , Rosmarinus officinalis L. and Lavandula vera L. lead to germination deterrency, with 81, 76 and 64 respectively. The low concentration essential oil Artemisia annua with 8 respectively reduce germination. It was concluded that Artemisia annua has strong allelopatic to control germination and seeding weed it can be used as a herbicide in organic culture of the agricultural crops.
Dynamic Source Routing Protocol Using Ant Colony Optimization Mobile Ad Hoc Networks

Quality of Service (QoS) in Mobile Ad hoc Networks (MANETs) is a challenging task because of restricted resource and dynamic configuration. To support QoS, the link state information i.e. bandwidth, delay, cost, jitter, node energy and error rate in the network should be existed and manageable. The concentration of this paper is exploring the scope to QoS routing mechanism, to report the source about QoS existed to any destination node in the wireless network. Since, available QoS routing solutions were managed with only one or two parameters of the QoS. It is significant that MANETs should offer QoS support routing, i.e. acceptable jitter, delay and energy in the situation of real time and multimedia applications. This paper introduces a QoS Dynamic Source Routing (DSR) protocol utilizing Ant Colony Optimization (ACO) known as Ant DSR (ADSR). The DSR and ADSR performance are examined utilizing network simulator-2. ADSR generates better results as compared to the available DSR in terms of energy, delay, throughput and jitter.
Fingerprint Verification using Statistical and Co-Occurrence Matrix Features

— Fingerprint identification is one of the most well-known and publicized biometrics. Because of their uniqueness and consistency over time, fingerprints have been used for identification for over a century, more recently becoming automated (i.e. a biometric) due to advancement in computing capabilities. Fingerprint identification is popular because of the inherent ease in acquisition, the numerous sources (ten fingers) available for collections, and their established use and collections by law enforcement and immigration. Fingerprint verification is one of the most reliable personal identification method and it plays a very important role in forensic and civilian applications. However, manual fingerprint verification is so tedious, time-consuming, and expensive that it is incapable of meeting today's increasing performance requirements. Hence, an automatic fingerprint identification system (AFIS) is widely needed. Proposed system describes the design and implementation of an off-line fingerprint verification system using wavelet transforms. In this method, matching is done between the input image and the stored template without resorting to exhaustive search using the extracted feature.
NZJHRM 2009 Special Issue: HRM & Performance

This paper considers the perceptions of Senior Executive Service officers of the Australian Public Service on the extent to which their move to contract employment under Australian Workplace Agreements impacted on their performance and performance management. It summarises a brief selection of literature dealing with performance management and assesses the efficacy of contract employment (under AWAs) as an HR tool for managing performance in the public sector. The majority of Senior Executive Service respondents surveyed reported no perceived improvement in performance management and provided some evidence of negative impacts following their move to individual contracts under Australian Workplace Agreements. Most had little credibility in the performance appraisal process as assessments were moderated to reduce significant differentials. The majority perceived that the sanctions for poor performance were limited and that there was little reward for superior performance. The paper finds the use of AWAs as drivers of performance resulted in a weak and/or flawed system of performance appraisal from the perspective of the employees participating in it. The move to contract employment under Australian Workplace Agreements was not therefore an effective way of advancing public sector performance management in Australia. It concludes with a brief discussion of the implications of these
Face Recognition System using PCA and Artificial Neural Networks

: Face Recognition System is a computer application which is used to identify or verify a person in a digital image, based on digital image processing and is an active area of research. The Face Recognition System proves to be efficient in criminal identification, data privacy, home video surveillance systems etc. Various innovative face recognition systems have been developed so far using a wide range of algorithms. An efficient method for face recognition using Principal Component Analysis and Back Propagation Neural Network is presented in this paper. In this methodology feature extraction is done through Principal Component Analysis (PCA) and then a Back Propagation Neural Network is trained to act as a classifier to get the recognized image. Later we have compared our proposed method with the other algorithms to show the effectiveness of the proposed algorithm.
Hybrid TSR-PSR in nonlinear EH half duplex network: system performance analysis

Nowadays, harvesting energy (EH) from green environmental sources and converting this energy into the electrical energy used in purpose to supply the communication network devices is considered the main research direction. In this research, we investigate the hybrid TSR-PSR Nonlinear Energy Harvesting (EH) Half-duplex (HD) Relaying network in terms of the Success Probability (SP). For this purpose, we derive the integral-form of the system SP. In addition, we use the Monte Carlo simulation for verifying the correctness of the analytical expression. We can see in the research results that all the simulation and analytical values are the same in connection with all primary system parameters.
Anesthetic Considerations in Preeclampsia

Background: Preeclampsia is prevalent in 3%-7% of pregnant women globally. The etiology is multifactorial. A pregnant women with preeclampsia presenting with an indication of caesarean section, is an anesthetic challenge. There is an increase in blood volume by 40% after 20 weeks of pregnancy. This can result in severe hypertension in a non-pregnant individual but still blood pressure decreases in second trimester of pregnancy. This happens because of decreased peripheral vascular resistance and increased venous capacitance. If the vascular system is non-resilient and the vessel walls still maintain their stiffness and elastic recoil; pregnancy induced hypertension can result. There is general organ hypo perfusion in severe preeclampsia. The anesthetic challenges are an edematous airway, cardio circulatory dysfunction, dysfunction of cerebro-vascular system and the exaggerated coagulopathy. Aims and objectives: Preeclampsia is a common cause of maternal mortality and morbidity. The etiology is unknown though a lot is known about its pathophysiology. The cardiovascular, pulmonary and cerebral change of severe preeclampsia needs to consider while administering spinal, epidural or general anesthesia. Hypotensive drugs and anesthetic monitoring need special care in severe preeclampsia. This study was designed to assess the effectiveness and safety of epidural and spinal anesthesia in pregnant women with preeclampsia. Methods: It is an ex post facto quasi experimental study to evaluate the effectiveness of spinal anesthesia, epidural anesthesia and general anesthesia in reducing pain severity in cesarean section in preeclampsia. (G1=30, G2=32, G3=31). Pregnant women at term with preeclampsia with chronic hypertension, diabetes, renal disease, anemia and coagulopathy were excluded from the study after a detailed pre-anesthetic assessment. Observations and results: There was a significant improvement in pain scores in epidural anesthesia group as compared with spinal anesthesia group and general anesthesia group. Conclusion: In pregnant women with preeclampsia spinal and epidural anesthesia can be useful during caesarean section. Epidural anesthesia in properly indicated cases provides safe and effective pain relief.
A UNIQUE CO-RELATION: POSTMENOPAUSAL ESTROGEN DEFICIENCY AND ANEURYSMAL SUBARACHNOID HEMORRHAGE.

Dr. Malavika J. C. MS, DNBOBG 1 and Dr. Vijaykumar S. Shabadi M.Ch Neurosurgery 2 . 1. Assistant Professor, S. S. Institute of Medical Sciences and Research Centre,Davangere, Karnataka, India. 2. Consultant Neurosurgeon,Dhanush Hospital and Research Centre, Bagalkot, Karnataka, India. Manuscript Info Abstract . Manuscript History
Efficient Human Detection Technique for Intrusion Detection Systems

The research in intrusion detection system demands for efficient human detection algorithm. The challenge is to detect the intruder from the given video data with reduced false alarms. Several algorithms exist for tracking the people in a given frame which deals with outdoor images in most cases. In this paper, we propose a technique to detect the intruder presence in a given indoor image frame. A complete framework to extract the object from the given video data and to determine the extracted object is a human or not is provided. The proposed algorithm is an iterative technique which reads the frames from the input video and processes each frame using a robust object extraction. Unlike existing sliding window techniques, we propose a method which first extracts the object from given image before processing for recognition. This is found to reduce the overall processing time. A well-known descriptor, Histogram of Orientation gradients (HOG) is used for object description. This descriptor is used together with Linear Support Vector Machine (SVM) Classifiers for object classification purpose. By using the proposed object extraction technique, we conclude that the human detection algorithm proposed in this paper performs better than the state-of-art sliding window based detection method.
Hiding the Military Secret Message by Reversible Data Hiding

: A data hiding is a technique that is used for embedding the important information into images. In reversible data hiding, the degradation of the original image is not allowed, such as medical imagery and military imagery. The secret data is embedded in the compression domain and the receiver wants to store the image in a compression mode to save storage space. An encoding message can be compressed and encrypted by the secrete key. A decode message consists of secret data that can be viewed by the encrypted key. This paper proposed a MSM (Military Secret Message) method which restores the important data. The experimental result shows that proposed system can provide good performance to secure important data.
Network Coding Aware Cooperative MAC Protocol for Relay Selection using Cyber Anthropology

Cooperative communication, which utilizes neighboring nodes to relay the overhearing information, has been employed as an effective technique to deal with the channel fading and to improve the network performances. Network coding, which combines several packets together for transmission, is very helpful to reduce the redundancy at the network and to increase the overall throughput. Introducing network coding into the cooperative retransmission process enables the relay node to assist other nodes while serving its own traffic simultaneously. To leverage the benefits brought by both of them, an efficient Medium Access Control (MAC) protocol is needed. In this paper, I propose a novel network coding aware cooperative MAC protocol, namely NCAC-MAC, Using cyber Anthropology for wireless ad hoc networks. The design objective of NCAC-MAC is to increase the throughput and reduce the delay. Simulation results reveal that NCAC-MAC can improve the network performance and detect the cyber crime using anthropology under general circumstances comparing with two benchmarks. Key Words—Cooperative communication, network coding, medium access control protocol, Cyber Anthropology,
FAISABILITÉ ET MISE EN CONFIGURATION D'UN PROTOCOLE DE SEVRAGE THÉRAPEUTIQUE DE BENZODIAZÉPINES EN STATION THERMALE

La surconsommation de psychotropes est un problème de santé publique majeur bien identifié en France, ayant fait l’objet de nombreuses études épidémiologiques et de rapports des autorités sanitaires françaises dont le récent rapport sur le bon usage des médicaments psychotropes [1] qui confirme qu’en France la consommation de psychotropes est très nettement excessive. La France a une proportion de patients ayant utilisé un psychotrope au cours des douze derniers mois environ deux fois supérieure à l’ensemble des autres pays européens. Un rapport du Credes de 2002 montre que le régime général de l’Assurance maladie a remboursé 150 millions de boîtes de psychotropes dont 56 millions pour les seuls anxiolytiques et 35 millions pour les hypnotiques. La réduction de 10 % de la prescription des médicaments anxiolytiques et hypnotiques était un des objectifs prioritaires de l’Uncam en 2005 (objectif non atteint). L’Institut national de prévention et d’éducation (Inpes) propose de renforcer l’information du patient sur le bon usage du psychotrope. Ce problème de la surconsommation de psychotropes a été retenu par la Haute autorité de santé (HAS) comme un des 5 enjeux majeurs en termes de santé publique. Pour faire face à ce problème, le thermalisme semble présenter des atouts thérapeutiques remarquables, spécifiques qu’aucune autre thérapie ne peut mettre à sa disposition de manière aussi complémentaire : • une unité de temps, de lieu et de pathologies qui peut permettre la prise en charge en groupe, de patients homogènes avec un programme de type psycho-éducatif à base de techniques cognitivo-comportementales ; • un suivi psychothérapique individuel avec entretiens motivationnels recommandés pour l’accompagnement au sevrage ; • la crénothérapie qui, par ses vertus anxiolytiques, récemment confirmées par l’étude Stop-tag [2-3] peut avoir un rôle substitutif dans le cadre du sevrage médicamenteux. C’est afin de vérifier cette hypothèse qu’a été menée en 2008 une étude visant à définir un protocole de sevrage thérapeutique de psychotropes en station thermale dont le promoteur a été l’Afreth.