Comparative Analysis Of Various Techniques Research Articles

Bioadhesive behaviors of HPMC E5: comparative analysis of various techniques, histological and human radiological evidence

Enhancing drug residence duration within the stomach offers distinct advantages for both localized and systemic effects. Numerous strategies have been proposed to extend drug residence time, with mucoadhesive polymers being a notable avenue. In this context, hydroxypropyl methylcellulose E5 has been employed as both a binding agent for granulating contrast metal powder and a mucoadhesive polymer, spanning various concentrations. The in vitro bioadhesion strength of the formulated tablets was gauged against the stomach lining of rabbits, for the quantification of bioadhesive forces. The temporal aspect of bioadhesion was evaluated through two approaches: one centered on gastric fluid dynamics and another proffered by the researchers, focusing on gastric wall kinetics. The results divulged a decline in bioadhesion force concomitant with high polymer concentrations. Histological examination of stained stomach sections revealed mucosal perturbations within the rabbit stomach. These disruptions exhibited an escalating trend in conjunction with elevated polymer concentrations, culminating in extensive disturbance at a 7.5% polymer concentration. The outcomes unveiled a direct relationship between polymer concentration increments and extended contact time. Subsequent radiological tracking of contrast metal behavior within a mature human stomach indicated a residence time of 6 h due to the entrapment of displaced components at disparate locations.

Timber-Based Strategies for Seismic Collapse Prevention and Energy Performance Improvement in Masonry Buildings

This study investigates the effectiveness of a range of timber-based solutions for the seismic and energy retrofitting of existing masonry buildings. These solutions are designed not only to prevent structural collapse during earthquakes but also to create integrated interventions that enhance thermo-physical performance and reduce emissions in existing buildings. Various case scenarios were considered and both mechanical and energetic behaviour post-intervention were evaluated. Timber-engineered products serve as foundational components for the retrofit approach, encompassing one-dimensional vertical elements (strong-backs) and various types of panels (cross-laminated timber panels, laminated veneer lumber panels, and oriented strand board panels). The analyzed retrofit techniques share a common principle involving the attachment of these timber-based elements to the building’s wall surfaces through mechanical point-to-point connections. The proposed solutions integrate strong-backs and timber panels with membranes and insulation layers, yielding cohesive, and highly effective interventions. Finite element modeling was employed to analyze the mechanical and thermal responses of the retrofitted walls. A comprehensive comparative analysis of various techniques was conducted to determine the most effective solution for each specific scenario.

Comparative Analysis of Various Techniques used for Predicting Student’s Performance

Research in higher education is beginning to explore the potential of data mining in analysing data to give quality service and needs of their graduates. Thus, educational data mining emerges as one tools to study academic tool data to identify patterns and help for decision making with affecting education. Data mining applications are becoming a more common tool in understanding and solving educational and administrative problems in higher education. Generally, research in educational mining focuses on modelling students’ performance instead of instructors’ performance. One of the common tools to evaluate instructors’ performance is the course evaluation questionnaire to evaluate based on students’ perceptions. In this study, four different classification techniques, decision tree algorithms, support vector machines, artificial neural networks, and discriminant analysis– are used to build classifier models. Their performances are compared over a dataset composed of responses of students to a real course evaluation questionnaire using accuracy, precision, recall, and specificity performance metrics. Although all the classifier models show comparably high classification performances, accordingly, it is shown that many of the questions in the course evaluation questionnaire appear to be irrelevant. Furthermore, the analysis shows that the instructors’ success based on the students’ perception mainly depends on the interest of the students in the course. The finding of the study indicate the effectiveness and expressiveness of data mining models in course evaluation and higher education mining. Moreover these findings may be used to improve measurement instruments.

Customer Segmentation With Machine Learning for Online Retail Industry

In this study, a comparative analysis of various techniques is presented on customer segmentation methods based on online retail data. A few unsupervised machine learning (ML) clustering models such as K-means clustering model, hierarchical clustering model, Density-based Spatial Clustering of Applications with Noise (DBSCAN) model and a traditional model based on recency, frequency and monetary (RFM) clustering are evaluated in terms of the insight each model offers. The traditional model is included in the analysis since clustering models are not optimization models and the goodness of unsupervised models could only be evaluated with a practical business approach. The results are shared, and each model is assessed in terms of usability for marketing and communication strategies. At the end, the strengths and weaknesses of each model are discussed, and a methodology is proposed for selecting the best clustering method when facing the customer segmentation problem. A detailed literature review is also presented covering the developments in the field of artificial intelligence, clustering models in ML and examples of customer segmentation implementations in various industries.

Mini-Review: Regenerating the Corneal Epithelium With Simple Limbal Epithelial Transplantation.

Simple limbal epithelial transplantation (SLET) is an ingenious, low cost and effective technique of limbal stem cell transplantation (LSCT) that is increasingly being undertaken in practice across the world. Since it was first described a decade ago, the technique has been performed in a variety of cases of limbal stem cell deficiency (LSCD) and has underwent several innovative modifications. Published literature on SLET has progressively increased over time and successful outcomes in various clinical scenarios have been reported. This concise review attempts to present a crisp account of SLET covering the indications and contraindications of performing the procedure; detailed account of pre-operative work up and preparation; surgical technique and its modifications; post-operative course, care and possible complications as well as published outcomes of surgery from across the world. Comparative analysis of various techniques of LSCT have been discussed and common concerns of surgeons practising or those who are planning to start practising SLET have been addressed. The authors hope that the pragmatic insights and pearls given at the end of the review will aid the surgeons in performing this technique to provide maximum benefit to patients suffering from the potentially blinding condition of LSCD.

Software Reusability of Object-Oriented Systems using Data Mining Techniques

Due to fast advancement in software industry, there was a demand to cut down time and efforts during process of software development. While designing product and services it is very essential to assure quality of product in order to strengthen market value of the product. To accomplish both quality as well as productivity objectives, it is suggested to go for software reuse. Reusability is an essential measure that can be used to improve overall software quality with lesser cost and efforts. This paper gives insights into various literature studies related to software reusability of Object-oriented software using data mining techniques. In this paper even comparative analysis of various techniques related to prediction and enhancement of reusability of Object-Oriented software systems has been done. This would help to get better understanding of need of reusability enhancement of Object-Oriented systems using data mining techniques

Comparative analysis of various techniques to improve the performance of novel wheat germ oil – an experimental study

The current study aims to explore the opportunities of using the high viscous biofuel namely Wheat Germ oil (WGO) in a twin cylinder CI engine. High viscous fuels suffer from improper atomization leading to poor combustion and higher smoke emission. To address this problem, various techniques namely transesterification, fuel ionization and hydrogen induction were studied. WGO was converted to its ester which reduced the viscosity. Fuel ionization increases the vibrational frequency of the molecules, weakens the bonds and converted to ions, which increases the dispersion rate during injection and improves the combustion subsequently. Hydrogen is having faster flame speed and higher calorific value aids in combustion enhancement at its knock limited levels.The twin cylinder tractor engine selected for this experiment runs at a constant speed of 1500 rpm. The engine was run using diesel to achieve the preferred warm-up condition in order to use WGO, which hada cold starting problem. Tests were conducted with wheat germ biodiesel (WGBD), WGO with permanent magnet (PM), electromagnet (EM) and the combination of PM and EM-based fuel ionization system and finally WGO with hydrogen induction rates of 2%, 4.3%, 6.7% and 10.3% at maximum engine load condition. It is observed that all the techniques improved the performance of WGO. Among the techniques tested, hydrogen induction displayed better results in terms of performance and emission characteristics with a slight penalty in NO emission.

Comparative Analysis of Various Techniques of VM Live Migration in Cloud Computing

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.

A survey on word embedding techniques and semantic similarity for paraphrase identification

In natural language processing (NLP), paraphrase identification (PI) determines the relatedness between the pair of sentences having fewer or negligible lexical overlap but still pointing towards the same meaning. The major challenge faced while attempting to solve this problem is the many possible linguistic variations conveying the same purpose. This paper aims to provide a detailed survey of traditional similarity measures, statistical machine translation metrics, machine learning and deep learning techniques and a well-defined flow between them. This article encompasses various word embedding methods and step-wise derivation of its learning module. This survey paper also provides a definite flow pointing towards the evolution of deep learning in an unambiguous manner. A comparative analysis of various techniques to solve PI is presented and it will provide research directions to work in the similar domain.

Comparative Analysis of Various Techniques for Giardia lamblia Detection and Association with E coil and Shigella Among Children Attending AL-Imamin AL-Kadhimin Medical City

Diarrhea is an important public health problem worldwide, several causes associated with diarrhea especially in population live under poverty and unsafe water use. Different methods are available and use in diagnosis. This study was carried out to compare of various techniques for Giardia lamblia detection and study the association with E coil and Shigella in patients with diarrhea. A total of 100 children with diarrhoea were enrolled into the study, 57 were males and 43 were females, aged from 2 months -16 years were attendant to AL-Imamin AL-Kadhimin Medical City, during the period from May 2014 to February 2015. Stool samples were collected and analysed for Giardia lamblia presence by used light microscopy, enzyme linked immunosorbant assay and polymerase chain reaction as well as used bacterial culture and one-step colored chromatographic immunoassay for E coil and Shigella detection. Socio-demographic features of the study subjects were also included. Parasitic infection was the most common than bacterial infection. Most intestinal infection were recorded in age group 5-10 years and among males. Comparative analysis of various techniques for Giardia lamblia detection show that microscopy detected only 24 cases, while enzyme linked immunosorbant assay detected 32 cases. However, polymerase chain reaction assay detected 42 cases. Statistical analysis showed significant differences. The sensitivities was 57.14% for microscopy and 76.19% for enzyme linked immunosorbant assay, whereas polymerase chain reaction assay had sensitivity of 100% (42/42) and specificity was100%. Bacterial culture and immunochromatography assay show positive result for E. coli (12%), and Shigella (6%). Co-infection between three microorganisms which revealed that 5 patients with Giardia lamblia positive test had co-infection with E. coli and 4 patients with Giardia lamblia positive test had co-infection with Shigella. Polymerase chain reaction highly sensitive and specific than other methods for Giardia lamblia detection, direct examination exhibited many false positive and negative results with parasitic infection.

Comparative Analysis of Various Techniques for Detection and Mitigation of Wormhole Attack in MANET

Comparative Analysis of Various Techniques for Detection and Mitigation of Wormhole Attack in MANET

Methods for Determining the Thermodynamic Parameters of Gas Compressor Units of Main Gas Pipelines

Methods for evaluating the state of gas compressor units of main gas pipelines by the values of the thermodynamic parameters measured during operation, that is indirectly, should be developed. In this regard the authors have conducted a comparative analysis of various techniques. Based on the results conclusions have been made on how to develop the thermodynamic method of diagnosis.

A Survey Addressing on High Performance On-Chip VLSI Interconnect

Abstract With the rapid increase in transmission speeds of communication systems, the demand for very high-speed lowpower VLSI circuits is on the rise. Although the performance of CMOS technologies improves notably with scaling, conventional CMOS circuits cannot simultaneously satisfy the speed and power requirements of these applications. In this paper we survey the state of the art of on-chip interconnect techniques for improving performance, power and delay optimization and also comparative analysis of various techniques for high speed design have been discussed.

Life prediction of titanium and aluminum alloys under fretting fatigue conditions using various crack propagation criteria. Part 1. Experimental and calculation techniques

Using the analysis of state-of-the-art techniques of fretting fatigue studies and results of description of multi-stage fatigue crack propagation in fretting zone within fracture mechanics framework, we have refined the calculation-and-experimental technique earlier proposed by the author. This technique allows one to predict current values of the angle and rate of inclined crack propagation in the subsurface layers of material under fretting conditions using calculated stress intensity factors KI and KII for contact and bulk loads, as well as experimental crack resistance diagrams by KI and/or KII types. We have performed comparative analysis of various techniques for construction of crack resistance diagrams by KI and KII types and obtained the results for AMg6N and Al 7075-T6 aluminum alloys and VT9 titanium alloy. It is shown that the initial stage of crack propagation in the above alloys can occur in the maximal shear stress plane by shear mechanism or in the maximal tensile stress plane by cleavage mechanism according to the Otsuka two-parameter criterion or to the Richard empirical criterion.

Developing a Strategy for Imputing Missing Traffic Volume Data

Archived ITS-generated data can provide a potential resource for many long-term transportation applications. However, missing and suspicious data are inevitable due to detector and communication malfunctions. This paper presents a comparative analysis of various techniques for imputing missing traffic volume data in the archived data management system in Kentucky. The applicability of the techniques, as well as their reliability in terms of data requirement, is also discussed. An implementation strategy for the Kentucky archive data management system is then developed based on the performance and the applicability/reliability analyses.