Miracle-dz/UniFAR-FTUs huggingface dataset:
DEVELOPMENT AND VALIDATION OF STABILITY-INDICATING HPTLC METHOD FOR DETERMINATION OF LEVETIRACETAM IN PHARMACEUTICAL DOSAGE FORM

Objective: To develop a validated stability indicating HPTLC method for determination of levetiracetam in pharmaceutical dosage form. Methods: Chromatographic separation was performed on aluminum plate precoated with Silica Gel 60 F254 using Toluene: Acetone: Methanol (6:2:2) v/v/) as mobile phase followed by densitometric scanning at 210 nm. Results: The chromatographic conditions gave compact spot for levetiracetam at Rf value of 0.35 ± 0.005 and specificity in accordance with international conference on harmonization (ICH) prescribed stress conditions. The calibration curve was found to be linear in the range 500 -3000 ng/band. The limit of detection and quantitation were found to be 19.76 and 65.89 ng/band, respectively. Conclusion: A new simple, accurate, precise and selective stability-indicating high performance thin layer chromatographic (HPTLC) method has been developed and validated for the determination of levetiracetam in pharmaceutical dosage form. The proposed method can be applicable for the routine determination of levetiracetam in bulk and formulation.
DYNAMIC NON-COOPERATIVE COMPUTATION FOR PRIVACY PRESERVING DATA ANALYSIS

: Data mining has been around for many years that can help organizations to discover actionable knowledge. When data is available with multiple data providers, it is useful practice to have privacy preserving collaborative data analysis in distributed environment. Many techniques came into existence in order to achieve this. Recently Kantarcioglu et al. proposed incentive compatible approach that motivates competing parties to provide genuine data instead of giving less than ideal or incompatible data. In this paper we implement a mechanism and built a prototype application that allows multiple parties to have secure communication in distributed environment. The parties are able to log into the system and provide data. It does mean that multiple parties can provide compatible data. The system verifies the data and comes to know whether it is genuine or not. When data provided is not compatible the system deducts the incentives and informs the party to provide data again. When valid data is provided, the incentives will be increased again. This technique along with secure multi-party computations makes the proposed system very useful for privacy preserving collaborative data analysis. The empirical results are encouraging.
Multi-Objective PSO-fuzzy Optimization Approach to Improve Interpretability and Accuracy in Medical Data

Today, Decision Support Systems (DSS) plays a significant role in a medical and healthcare domain. Designing an Automatic Fuzzy Rule-based Classification Systems (FRBCSs) is considered as optimization problem associated to a result of high interpretability and accuracy. Interpretability and accuracy are the two main objectives to be improved in the optimization measurement of FRBCSs. However, improving these objectives is found to be difficult in most of the existing systems due to the conflicting issues between accuracy and interpretability. In this work, we proposed an approach that can effectively handle accuracy-interpretability trade-off in constructing FRBCSs. We designed automated FRBCSs in the form of Multi-objective Particle Swarm Optimization with Crowding Distance. In the approach, there will be a collection of solutions to FRBCSs that deem best global minimum or global maximum with respect to interpretability and accuracy. Our method is evaluated on a popular benchmark data sets being used in a medical domain for evaluations. These datasets are Liver Disorders (BUPA), Pima Indians Diabetes and Thyroid Disease (New Thyroid). The result obtained shows that the proposed method yields an optimum solution in minimizing the trade-off between accuracy and interpretability. Moreover, the result of the comparison shows that our approach outperforms the alternate techniques in terms of accuracy of FRBCSs and also exhibits good result in terms of interpretability objective.
INVESTIGATION ON MECHANICAL PROPERTIES OF HEMP-E GLASS FIBER REINFORCED POLYMER COMPOSITES

Natural fiber composite is currently a leading module in the world of composites. It is due to many of its features such as freely available, easy processing, low cost, ability to replace usage of Glass fiber (Synthetic fiber), better strength properties and ecofriendly. They find useful applications in various fields from domestic to automotive sector as of now. Natural fibers with good content of lignocellulose, low density, and better elongation percentage are chosen for manufacturing of composites of above mentioned applications. Unidirectional & Continuous natural fiber composites are said to be anisotropic and having predominant mechanical properties. While designing these composites out of many factors, amount or volume fraction of fibers also considered carefully. In this study untreated continuous Hemp fiber-Bi directional woven E Glass fiber reinforced hybrid polymer matrix composite laminates are developed and tested for its mechanical properties such as tensile, compression and flexural as per ASTM standards by varying fibers proportions. The obtained results yields that natural fiber composites performed equally or more than synthetic fibers such as Glass fibers.
Anwendung von Helleborus niger bei individueller integrativer Therapie eines metastasierten Mammakarzinoms mit Pleuraerguss

Zusammenfassung In dieser Fallbeschreibung wird ein individuelles integratives Behandlungskonzept bei einer palliativen Patientin mit metastasiertem Mammakarzinom vorgestellt. Im Mittelpunkt steht dabei Helleborus niger (Christrose), eine in der komplementären Onkologie bisher wenig beachtete Heilpflanze. Im vorliegenden Fall wurde Helleborus niger D12 in Form von täglichen Kaltinhalationen zunächst zur symptomatischen Behandlung von Dyspnoe und Reizhusten bei Pleuraerguss eingesetzt. Darüber hinaus verabreichten wir täglich subkutane Injektionen zur Immunmodulation wie auch zur Unterstützung der Diurese. In Kombination mit anderen komplementären Therapieprinzipien ließen sich zusätzlich gute Effekte hinsichtlich Kachexie, Muskelabbau, Schlaflosigkeit, Angst und Unruhe erzielen, die alle palliativmedizinisch relevant sind. Dabei waren weder Nebenwirkungen noch Wechselwirkungen mit chemischen oder pflanzlichen Stoffen zu verzeichnen. Nach 9-monatiger Therapie war klinisch wie sonografisch kein Pleuraerguss mehr nachweisbar. Auch die übrigen Tumormanifestationen befanden sich in Regression, was mit einer deutlichen Stabilisierung der Patientin und Verbesserung ihrer Lebensqualität einherging. Es lohnt daher, Helleborus niger in integrative Behandlungskonzepte aufzunehmen und durch breiteren klinischen Einsatz weitere Wirkmechanismen zu eruieren.
THERAPEUTIC EFFICACY OF PLANT-DERIVED ANTI-CANCER AGENTS- A PERSPECTIVE APPRAISAL

Article History: Received 15, June, 2014 Received in revised form 27, June, 2014 Accepted 14, July, 2014 Published online 28, July, 2014 Cancer is a major cause of death and the number of new cases as well as the number of individuals living with cancer is expanding continuously. Nature continues to be the most prolific source of biologically active and diverse chemotypes. Although relatively few of the actual isolated compounds advance to become clinically effective drugs in their own right, these unique molecules often serve as models for the preparation of analogues using chemical methodology such as total or combinatorial synthesis, or manipulation of biosynthetic pathways. Plant derived compounds have played an important role in the development of several clinically useful anticancer agents. These include vinca alkaloids, lignans, terpenoids, quinines and phytochemicals such as flavones, flavonoids, flavonol. Various compounds, isolated from different plant sources, are divided into different types for the development of new drug compounds having activity against different types of cancer. Herein, we reviewed some plant derived active compounds having activity against cancerous cells, which are presently being used or would be used in future for the development of effective drug against different types of cancer, without adverse effects.
Simulation of Acid–rock Heterogeneous Flow Reaction Based on the Lattice Boltzmann Method

Matrix acidizing is an essential strategy to maintain or increase the productivity or injectivity of hydrocarbon wells. However, for sandstone reservoirs, the heterogeneous flow reaction mechanism of acid–rock in porous media is very complex because of their complex mineral and chemical compositions. It is often difficult to match real formation conditions by experimental simulation. Also, traditional numerical simulation methods have the disadvantages of complex boundary processing and low computational efficiency. In this study, the lattice Boltzmann method (LBM) was used to establish the heterogeneous flow reaction model of acid–rock from a new perspective, which was solved by MATLAB to obtain the distribution of temperature, concentration of various substances, porosity, and permeability. The simulation results indicate that with increases in injection time and injection speed, the temperature and mass transfer distance of the acid will also increase. Changing the injection time had a more obvious influence on the transfer of temperature and mass than did changing the injection speed. The increasing rates of porosity and permeability in the middle of the flow channel were the highest. The fast-reaction mineral content, hydrofluoric acid injection concentration, and acid injection time had a great influence on the acidizing effect, whereas the slow-reaction mineral content, acid injection temperature, and injection speed had little influence on the acidizing effect. The results suggest that to improve the acidizing effect, priority should be given to improve the HF concentration and acid dose. It will be important for further guiding the optimization of acidizing process design parameters.
FORMULATION DEVELOPMENT AND DISSOLUTION RATE ENHANCEMENT OF RILPIVIRINE BY SOLID DISPERSION SYSTEMS

The aim of this study was to enhance the dissolution rate of rilpivirine (RPV) using solid dispersion systems. A comparison between kneading and solvent evaporation method was also investigated. Solid dispersions of rilpivirine were prepared using poloxamer 407 and HPC at 1:1 and 1:3 w/w ratios. Dissolution tests were conducted and evaluated on the basis of cumulative percentage drug release and dissolution efficiency. Physicochemical characterizations of the solid dispersions were carried out using Fourier transform infrared spectroscopy, differential scanning calorimetry and powder X‐ray diffraction. Dissolution was remarkably improved in both systems compared to pure rilpivirine (P<0.05). Physicochemical characterization results suggested that rilpivirine existed in the amorphous form in the entire solid dispersion systems providing evidence of improvement in dissolution. Formulations of rilpivirine solid dispersion systems prepared using poloxamer 407 by solvent evaporation method showed best dissolution profile and 1:3 were identified as an optimum drug‐polymer weight ratio. Further optimised formulations were prepared as direct compression tablets and evaluated for various parameters. The tablets were found to have desirable physical properties and showed good stability over the period of 6 months at 40 0 ±2 0 C/75%±5%RH and 5 0 ±3 0 C. Thus the present study demonstrated that poloxamer 407 as carrier and solvent evaporation technique is a highly effective strategy for enhancing the bioavailability of poorly water soluble rilpivirine.
Security Risk Associated with Android Applications

Android is the most popular mobile operating system. Its omnipresence leads to the fact that it is also the most popular target amongst malware developers and other computer criminals. Even after being the more secure operation system than any other Smartphone operating system, having very few restrictions for developer, and having no security scan over the apps being uploaded on its market increases the security risk for end users. In this paper we have reviewed android security model, security measures provided by Android and security issues in the android
A Survey on Online Aggregation For Large Mapreduce Jobs

— In online aggregation, a database system processes a user’s aggregation query in an online fashion. During the query processing, the system gives the user an estimate of the final query result, with the confidence bounds that become tighter over time. MapReduce programming approach have close relationship with cloud computing. Today, online aggregation is a very attractive technology. In this paper, we have described how online aggregation can be built into a MapReduce system for large-scale data processing. This paper also describes the detail implementation of OLA models in Hyracks . In literature survey section we have briefly discussed various online aggregation methodology such as OATS, COLA , Parallel Online Aggregation with their advantages and limitations. Lastly, we have presented advantages and limitation of OLA.
VIDEO SEMANTIC CONTENT EXTRACTION USING k-MEANS and FUZZY ONTOLOGY

— Increased use of video based applications revealed need of efficiently extracting the video contents. The video contains various features which can be classified into normal data, relative features and logic content. For core content of video semantic level understanding is required. So to get video content automatic semantic content framework is proposed. In proposed system a semantic content extraction system which allows the user to query and regain objects, events, and concepts that are extracted automatically. VISCOM is a video semantic content model which contains classes and relations between classes. Objects and events are represented by some VISCOM classes and other classes are used in the automatic semantic content extraction framework. VISCOM classes collect the semantic content types and relations. Ontology based fuzzy video data semantic model which uses spatial and temporal relations in event and concept definition is proposed. Extracted objects from consecutive representative frames are processed to extract temporal relations. Additional rules to lower spatial relation computation cost and to define some difficult situations more successfully are used. To extract objects from video we apply k-means clustering algorithm. By, which we get the more relevant objects related to user query.
Validation of the Xpert BCR-ABL Monitor Assay Results : King Fahd Specialist Hospital Dammam Experience

Objectives: King Fahd Specialist Hospital Dammam (KFSHD), a tertiary care hospital, has guidelines for BCR-ABL p210 quantitation using GeneXpert® Real Time PCR.The assay results are automatically calculated using the Cepheid International Scale (IS), mentioned in the certificate of analysis (COA) supplied with each kit. The aim of this study was to establish an IS specific for KFSHD, instead of that supplied by the manufacturer, based on thorough validation study of the assay with Mayoclinic IS, a thing which conferred more accurate interpretation of the results. Methods: A total of 29 hemato-oncology blood, bone marrow and RNA samples were run, using the GeneXpert BCR-ABL assay and validation for all samples was carried out with Mayo clinic to compare external controls to built-in controls. We cancelled the Cepheid IS and used the Mayoclinic IS factor (2.57), which is validated by its turn with the reference method (University of Adelaide). Results: All 29 results were concordant using the acceptance criterion of +/-0.5 log10 of the expected BCR-ABL relative quantitation. Conclusion: The Xpert BCR-ABL monitor assay provides reliable results. Replacement of the IS provided by the manufacturer with the IS calculated by our lab, and which is based upon thorough validation study, conferred more accurate results. [Heba N. Raslan. Validation of the Xpert BCR-ABL Monitor Assay Results: King Fahd Specialist Hospital Dammam Experience. J Am Sci 2013;9(9):281-285]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 37
A Unified Approach for Forensic Analysis of DDOS Attack in Manet

— Mobile Ad Hoc Network (MANET) facilitates distributed wireless communication without pre-existing centralised infrastructure. The network is mobile and setting of connection is ad-hoc.The design of MANET helps improving network scalability, as well as reducing the time to deploy a new network infrastructure. However, the benefits of MANET come with the cost in reduced security. A typical DDoS attack is the flooding attack in which attackers paralyse the target networks by flooding excessive volume of traffic to deplete key resources of the target. When an attack on the target system is successful enough to crash or disrupt, this event as the breach that triggers investigation. Forensic investigation provide source of network evidence and helpful in design and recovery mechanism for network attacks. This paper review various work done in the field of DDoS attack forensic for MANET.
Assessment of Growth Performance, Hemato-Biochemical Parameters, Immunological and Histopathological Alterations Associated with New Bacterial Multistrain Probiotic (Gro-2-Max®) Supplementation on Broiler Chicken

Long time ago, attempts for enhancing the poultry health status, are concentrating on ways for modulating the indigenous intestinal flora by live microbial adjuncts, now called “probiotics”. In the present study 126, one-day old commercial broiler chicks were used to evaluate the effect of supplementation with new bacterial multistrain probiotic (Gro-2-Max®) and were equally divided into 6 groups. Group 1 (control), were fed and drank without any treatment. Supplementation in ration was done at a rate of 500 g/ton starting from 1 day till the end of experiment (42 days) in group 2, from 15 to 42 day in group 3, and from 1 to 10 and from 30 to 42 day in group 4. Supplementation in drinking water was carried out at a rate of 1g/liter for 24 hours starting from 1 to 5, 16 to 20 and from 30 to 35 day in group 5, and for 3 successive days/week till 42 day in group 6. Evaluation included monitoring chicken performance (feed intake, body weight gain, feed conversion rate, immune index and cecal bacterial enumeration), clinicopathological alterations (hemogram and serum biochemistry), immune responses (humeral and cellular), and histopathological examinations (liver, kidney, spleen, bursa of Fabricious, thymus and ileum). Results concluded to, the positive effect of Gro-2-Max® on chicken performance especially groups 2 and 6, decreasing effect on lipogram especially total cholesterol, total triglycerides and low density lipoprotein cholesterol, nonspecific humeral and cellular immune responses, and improving effect on intestinal function through increasing the height of ileal villi.
Review Paper on Development of Mobile Wireless Technologies (1G to 5G)

-Wireless technology is crescent very fast these days. A recently wired network was needed to get online. Even wired telephones are becoming a thing of past. Nowadays, Mobile networks have full-blown tremendously in the last four decades. The inception was the Cellular concept which was introduced with 1G, where, ’G’ stands for generation networks. It had grown so fast, from generation to generation, nurturing from 1G, 2G, 3G, and finally, launched to 4G. And, today, we are using 4G technologies. And, also, 5G technology is almost ready to spread its wings to storm this competitive global mobile network market. Integrated Research on 5G is being carried on and is expected to come in usage commercially by 2020. The birth of 5G technology can be an optimal solution to the various problems that we are facing in the current technologies nowadays. 5G will emerge as an intelligent technology that will reduce the number of different technologies to a single entity of a global standard. This paper is mainly focused on the development of mobile wireless communication network from 1G to 5G and how they are different from each other and their advantages and disadvantages they possess.
Evaluation of Ensemble Design For Intrusion Detection

— Intrusion Detection System (IDS) examine large quantity of data with the intent to find malicious event among them. A misclassification of what is examine can lead to a higher rate false positive or false negative, thus any model built for the task must be as accurate as possible. The purpose of this study was observe how applying ensemble method can affect the performance of a classifier. We worked with: Adaptive Boosting (AdaBoost) and Banging Classifier as ensembles on different classifiers, namely: Naïve Bayes and Decision Tree (CART). Algorithm were trained and test on the NSL-KDD dataset and the F-score, precision and recall were taken as base metric to evaluate how well algorithms performed. We notice that while ensemble method in fact improve the performance of week classifier, this sometimes comes with little cost. When looking at multiple metrics for improvement, one metric might get improved while the other one decreases.
Effect of Different Storage Methods on Development of Post Harvest Rot of Solenostemon rotundifolius

Investigation into the effects of different storage methods on the development of post [Solenostemon rotundifolius (Poir.)] were carried out in the Biological Scie University of Technology, Yola using completely Randomized Design (CRD). One thousand grammes of healthy Hausa potato tubers were stored in medium were covered with guinea corn chaff, B with saw dust, C with wood ash and D served as control (untreated). Data were collected every month for four months on percent weight loss and disease incidence, the data obtained were analyzed using Analysis of Variance (ANO Significant Difference (LSD). Results showed that wood ash provided the best storage medium with a mean weight loss of 74g after four months, followed by sawdust 113g and the least was disease incidence wood ash also proved most effective in controlling rot development with a percentage of 2.4, followed by sawdust 3.2 while guinea corn chaff was the least with 4.1. Analysis of variance showed signifi differences among the various treatments. Storage of Solenostemon rotundifolius tubers in wood ash and sawdust are the most suitable control measure.
ANALYZE THE OPEN RESEARCH ISSUES IN ROUTING TECHNIQUES FOR WIRELESS SENSOR NETWORKS

Recent advances in wireless sensor networks have led to many new protocols specifically designed for sensor networks where energy awareness is an essential consideration. Most of the attention, however, has been given to the routing protocols since they might differ depending on the application and network architecture. This paper surveys recent routing protocols for sensor networks and presents a classification for the various approaches pursued. The three main categories explored in this paper are data-centric, hierarchical and location-based. Each routing protocol is described and discussed under the appropriate category. Moreover, protocols using contemporary methodologies such as network flow and QoS modeling are also discussed. The paper concludes with open research issues.