Lucas Gracefulness of Almost and Nearly for Some Graphs

By a graph, we mean a finite undirected graph without loops or multiple edges

Improving Privacy Preservation using IBS and IBOOS in VANET

In Vehicular Ad hoc NETworks (VANETs), vehicles have to be protected from the misuse of their private data and the attacks on their privacy. Here the authentication issues with privacy preservation and non-repudiation in VANETs have been considered. The self-generated public-key cryptography PKC based pseudonyms are also used as identifiers instead of vehicle IDs for the privacy-preserving authentication, while the update of the pseudonyms depends on vehicular demands. The existing ID-based signature (IBS) scheme and the ID-based online/offline signature (IBOOS) scheme are used, for the authentication between the road side units (RSUs) and vehicles, and the authentication among vehicles, respectively. Authentication, privacy preservation, non-repudiation have been analyzed for VANETs. Typical performance evaluation has been conducted using efficient IBS and IBOOS schemes

Hybrid team-based learning in cardiorespiratory physiotherapy in higher education

Background: Today’s modern and future cardio-respiratory physiotherapist are, and will be, presented with ubiquitous and uncertain complex problems in professional life. Yet, to date, teaching approaches lacks robust scientific evidence of optimal learning to stimulate student’s active cognitive engagement of higher order skills beyond knowledge and skills transfer and are only focused on graduation. For past two decades, pedagogy recommends use of active learning strategies to enhance authentic student engagement, self-efficacy, and satisfaction. In recent years, team-based learning (TBL) is emerging as a popular student-centred active collaborative learning strategy that promotes individual and team learning in medical and allied health education. Objective: This paper reports on the design and impact of a novel “Hybrid Team-Based learning' (H-TBL) on students’ engagement and perceptions of their learning experience in a Year 2 undergraduate physiotherapy Cohorts. Study Design: A retrospective study. Methods: In 2019, a keynote lecture on Chronic Obstructive Pulmonary Disease (COPD) was taught using novel “hybrid team-based learning' (H-TBL) comprising phases 1-4, delivered in two sessions (COPD1 and 2) to our year two (n=136), undergraduate physiotherapy students. Results: Of 136 students, 82% engaged in Phase 1, 80% attended the Phase 2 and 3 of COPD 2 session and 74% engaged in phase 4. 72% provided their perception on their learning experience. Conclusion: Majority of our students valued the learning experience in H-TBL design. This study confers that H-TBL supports students’ active engagement and self- efficacy. Future randomized studies are mandated to explore the validity and specificity of H-TBL in physiotherapy curriculum

Structured and Unstructured Information Extraction Using Text Mining and Natural Language Processing Techniques

Information on web is increasing at infinitum. Thus, web has become an unstructured global area where information even if available, cannot be directly used for desired applications. One is often faced with an information overload and demands for some automated help. Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents by means of Text Mining and Natural Language Processing (NLP) techniques. Extracted structured information can be used for variety of enterprise or personal level task of varying complexity. The Information Extraction (IE) in also a set of knowledge in order to answer to user consultations using natural language. The system is based on a Fuzzy Logic engine, which takes advantage of its flexibility for managing sets of accumulated knowledge. These sets may be built in hierarchic levels by a tree structure. Information extraction is structured data or knowledge from unstructured text by identifying references to named entities as well as stated relationships between such entities. Data mining research assumes that the information to be “mined” is already in the form of a relational database. IE can serve an important technology for text mining. The knowledge discovered is expressed directly in the documents to be mined, then IE alone can serve as an effective approach to text mining. However, if the documents contain concrete data in unstructured form rather than abstract knowledge, it may be useful to first use IE to transform the unstructured data in the document corpus into a structured database, and then use traditional data mining tools to identify abstract patterns in this extracted data. We propose a novel method for text mining with natural language processing techniques to extract the information from data base with efficient way, where the extraction time and accuracy is measured and plotted with simulation. Where the attributes of entities and relationship entities from structured and semi structured information .Results are compared with conventional methods

Synthesis, Growth and Spectroscopic Studies of L-Alanine Hydrogen Chloride(Lahc) Crystals

L-alanine Hydrogen Chloride (LAHC) salt was synthesized by taking L-alanine and hydrochloric acid in 1:1 molar ratio and the solubility of the synthesized salt in deionized water was determined at different temperatures. Single crystals of  L-alanine  Hydrogen Chloride (LAHC) were grown by solution method with slow evaporation technique. The grown crystals were characterized by single crystal X-ray diffraction (XRD) analysis, FTIR studies and UV-visible transmittance studies and the NLO activity of the grown crystal has been checked by Second Harmonic Generation (SHG) test.ÂÂ

In vivo Evaluation of Amoxicillin Trihydrate and Clarithromycin-Loaded Mucoadhesive Microspheres for H. pylori Eradication

Purpose: To evaluate in vivo H. pylori clearance efficacy of formulated mucoadhesive microspheres of amoxicillin trihydrate and clarithromycin.Methods: Amoxicillin trihydrate and clarithromycin mucoadhesive microspheres were prepared by solvent evaporation method using Carbopol 974P, HPMC K4M and Eudragit RS 100. In vivo clearance efficacy of the microspheres was evaluated in a Wistar rat model after induction of H. pylori infection. Amoxicillin and clarithromycin-loaded microspheres were administered twice daily for three days. H. Pylori clearance was evaluated by assessing colony count.Results: Treatment with plain drug solution (90 mg/kg amoxicillin and 45 mg/kg clarithromycin) resulted in a colony count of log 1.25 ± 0.56 CFU and clearance rate of 60 %, while mucoadhesive microspheres-loaded dose of 45 mg/kg amoxicillin and 22.5 mg/kg clarithromycin resulted in complete (100 %) eradication of H. pylori infection.Conclusion: The developed mucoadhesive amoxicillin/clarithromycin microspheres can potentially be used to effectively eradicate H. pylori infection.Keywords: Amoxicillin, Carbopol, Clarithromycin, H. pylori, Hydroxypropyl methylcellulose, Microspheres, Mucoadhesiv

The Effect of Fasting on Haematology Serum Biochemistry Parameters on STZ Induced CD1 Mice and Diabetic db/db Mice

Modest information is available on how fasting affects clinical pathology variables in (Streptozocin) STZ induced diabetes mice and db/db mice. This study was carried out to evaluate the influence of fasting on clinical pathology variables in diabetic mouse models. Seven male STZ induced diabetic CD1 mice and db/db mice were fasted for 18 hours and change in body weight (BW), hematologic and biochemical variables were evaluated. Fasting provoked significant variation in body weight, haematology and biochemical variables in diabetic animal models. The results suggested that clinical pathology variables will vary after fasting. The decision to feed or fast before blood collection for analyzing the results should be made based on fasting in animal models for diabetic research