Hyper Competitive Digital Marketing-An Advancement in Technology & its Future Prospective

Purpose: The purpose of this text is to provide an overview of digital marketing and its significance in today's world. It touches upon the evolving landscape of marketing and the challenges marketers face in adapting to new technologies and consumer behaviors.   Design/methodology/approach: This section discusses the approach taken in the text. It outlines the content's structure and how it presents information about digital marketing, including its focus on communication, customer engagement, and ethical considerations.   Findings: The findings section summarizes key points about digital marketing, emphasizing the increasing importance of mobile devices and the uncertainty surrounding the impact of the Internet of Things (IoT). It also highlights the challenges marketers face in measuring the effectiveness of traditional advertising.   Research, Practical & Social implications: Here, we delve into the implications of digital marketing from three perspectives: research, practical application, and social impact. It explores the need for research agendas related to ethics, privacy, and bias in marketing, as well as how marketing strategies and consumer behavior may evolve.   Originality/value: This section underscores the originality and value of the text by emphasizing the unique insights it offers into the future of marketing, including the intersection of technology, economics, and geopolitics. It suggests that the text provides valuable insights into ethical considerations and potential changes in marketing practices

Oral Health and Vitamin B12: A Review

ABSTRACT Vitamin B12 occurs in various forms and has a variety of names. It is unusual in its origin. Most vitamins can be made by a wide variety of plants and specific animals but no plant or animal has been found capable of producing Vitamin B12 and the most common sources of this vitamin appears to be small microorganisms like bacteria, yeasts, molds, and algae. Its deficiency causes nervousness, generalized weakness, megaloblastic anemia, dementia, etc. Intra-oral signs and symptoms include pale mucosa, recurrent aphthous stomatitis, candidiasis, angular chielitis, glossitis, etc. This paper reviews vitamin B12 structure, metabolism, function, sources, deficiency and correlation with oral health along with therapeutic measures

Deep Learning Based Efficient Algorithm for Object Detection Targeting Navigation Applications

We show that deep learning is an efficient algorithm for image detection targeting navigation applications, which doesn’t have communication, not even the data transfer from external sources like any device or from the cloud. To achieve this target algorithm only needs model weights of size 105MB and can detect the image with accuracy of 72% with response time of 1.3milliseconds on GPU. At the core our approach uses convolution neural network for detection of image which is at least 10X times faster than other state of art searching algorithms, LSH or any matching algorithm. Thus this permits us to use this algorithm for image detection in navigation applications. This allows us to navigate faster, secure as well as with maintained privacy of navigator

Clustering for Software Remodularization by Using Structural, Conceptual and Evolutionary

During various phases of software development lifecycle, the internal structure of the software degrades which finally results in increased maintenance efforts and hence cost. One quick solution to this problem is software remodularization in which restructuring of different software elements such as classes/ packages/ methods is done (without changing their original meaning and functionality). Several researchers have proposed different techniques for software remodularization. Each technique considers two points of view: dependency measurement among software elements (based on structural, conceptual and/or change history based relations) and performing clustering using different algorithms. So, in this paper, first of all, an empirical evaluation is carried out in order to test the role of different dependency relations in modeling dependency among different software elements. From an empirical evaluation, it is observed that the change history of a software system plays a major role in modeling dependency relations and hence must be used along with other relations for more accurate measures. Then, a new weighted dependency measurement scheme is proposed by combining structural, conceptual and change history based relations among software elements together, with more importance to evolutionary dependency relations. Finally, different dependency schemes are evaluated with six clustering algorithms by applying them to four standard open source Java software of variable sizes and belonging to different domains. The obtained results show that our proposed approach is capable of accurately determining dependence relations among various software elements as compared to other similar approaches present in literature and thus increases restructuring accuracy

Single visit custom made flexible feeding obturator for an infant with tetralogy of fallot

Cleft lip and palate prevalence is more in patients with heart diseases than in patients with normal hearts. The co-existence of tetralogy of Fallot and cleft palate undermines the health of the infant by underfeeding and circulation of low arterial oxygen concentration. Early prosthodontic adjuvant therapy with feeding obturator is mandatory for rehabilitation till corrective surgery

Sensitivity Analysis of Evolutionary Algorithm for Software Reusability

Fast and competitive software industry demands rapid development using Component Based Software Development (CBSD). CBSD is dependent on the availability of the high-quality reusable component libraries. Recently, evolutionary multi-objective optimization algorithms have been used to identify sets of reusable software components from the source-code of Object Oriented (OO) software, using different quality indicators (e.g. cohesion, coupling, etc.). Sometimes, these used quality indicators are quite sensitive towards the small variations in their values, although they should not be. Therefore, this paper analyzes the sensitivity of the evolutionary technique for three quality indicators used during the identification: Frequent Usage Pattern (FUP), Semantic and evolutionary coupling. The sensitivity analysis is performed on three widely used open-source OO software. The experimentation is performed by mutating the system to different degrees. Results of the empirical analysis indicate that the semantic parameter is most sensitive and important. Ignoring this feature highly degrades the quality; FUP relation is uniformly sensitive and evolutionary relations's sensitivity is non-uniform

Polymeric architecture as a tool for programming sequential enzyme-induced mesophase transitions

Di- and tri-block amphiphiles can form different mesophases ranging from micelles to hydrogels depending on their chemical structures, hydrophilic to hydrophobic ratios, and their ratio in the mixture. In addition, their different architectures dictate their exchange rate between the assembled and unimer states, and consequently affect their responsiveness towards enzymatic degradation. Here we report the utilization of the different reactivities of di- and tri-block amphiphiles towards enzymatic degradation as a tool for programming formulations to undergo three sequential enzymatically induced transitions from: (i) micelles to (ii) hydrogel and finally to (iii) dissolved polymers. We show that the rate of transition between the mesophases can be programmed by changing the ratio of the amphiphiles in the formulation, and that the hydrogels can maintain encapsulated cargo, which was loaded into the micelles. The reported results demonstrate the ability of molecular architecture to serve as a tool for programming smart formulations to adopt different structures and functions