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This study aims to analyze the resources used in the citations of 156 postgraduate dissertations submitted to the Rajiv Gandhi University of Health Sciences (RGUHS) through the Acharya & BM Reddy College of Pharmacy (ABMRCP), and prepares the core journal list according to the Bradford’s law of scattering. For any research and academic institutional libraries, books and journals are considered as key resources. As the resources are more and diverse, collection building is a tough task for librarians. Citation analysis is one of the best methods to list the most used resources by the users. The paper highlights the extent use of in-house resources and open access journals in the citations.

Citations of PG dissertations during 2010-2013 (four years) were compiled, the data about the resources cited in each were taken and the list of resources used in PG dissertations was prepared. The list of core journals obtained by citation analysis was matched with the list of online journals provided by Health Science Library & Information Network (HELINET) of RGUHS as well as print list of journals subscribed by ABMRCP Library, and evaluated the print and online consortia journals used by ABMRCP community. The list of core journals’ ranking in the SCImago Journal & Country Rank (SJR) list-pharmaceutical sciences was identified to know the impact of the journals.

The study gives the list of different information resources cited in the pharmacy dissertations. The core list obtained by applying the Bradford’s law of scattering in this study has 19 journals pertaining to pharmacy. After matching the core list with the Keogh’s list, it is found that 31 journals can be considered very useful in the field of pharmacy. Twelve journals listed in the core list have different positions in the SJR ranking 2013. The results indicate that open-access journals with online journals subscribed through HELINET and print holdings have been cited more in the PG dissertations.

The topic of journal use in this case may be of greatest interest to those who purchase journals in the sciences and, very specifically, the pharmaceutical sciences.

Iron deficiency anemia (IDA) is the most common nutritional anemia in the world and a pervasive health problem, especially in developing countries. Children under two years of age are more prone to be affected by IDA. The best strategy to prevent and treat IDA is to use iron supplements. This study aims to examine the factors associated with noncompliance (such as non-utilization or inconsistent usage) of iron drop supplementation among infants between 6 and 24 months old.

Online databases (PubMed, Scopus and SID) were searched to retrieve relevant articles published from inception up to July 2023. Among the 2,177 articles detected, after removing duplicate and irrelevant titles, 21 cross-sectional studies that met the authors’ inclusion criteria were included. Screening for articles and data extraction were conducted separately by two researchers.

The findings suggest that some factors related to mothers, such as education, knowledge, attitude and performance; some factors associated with child such as child’s gastrointestinal and dental complications; taste and smell of iron drops; and birth order and gender are the main determinants of adherence to iron supplementation.

It can be proposed that the most significant factors affecting the feeding of iron drops to children under the age of two include: the level of mother’s awareness, socio-economic status of the household and the occurrence of digestive complications following the supplementation. Given these observations, adopting proper policies toward improving the nutritional awareness of mothers and producing iron supplements with minimal side effects seems crucial.

Zyne is a mid-sized Delhi-based firm engaged in the home linen business under the company’s brand name. Raman was the Managing Director of Zyne. In 2019, Prashanth the head of the second-best region (West) quit abruptly without grooming a successor. Prashanth’s team consisted of greenhorn executives whom he recruited from colleges. Raman has options of selecting a replacement for Prashanth from within the organization. Two candidates are in the reckoning, namely, Amit and Neha. Amit was 48 years old, a veteran in the business and associated with the Zyne group for over 15 years. He was a top sales performer in the Central region and was interested in relocating to the West. Twenty-seven-year-old Neha was industrious, talented and creative. Within three years of joining Zyne, she had proven herself as a go-getter with remarkable ability to develop strong channel partner relations. Raman had to decide whom to select from among the two or go for an outsider from the industry. Raman has to contend with selection issues related to insider vs an outsider. If one of the internal candidates is chosen how could he motivate the other to continue to perform and deliver? The case focuses on the challenges of recruitment of a Sales Manager (SM) in a small home furnishing business. Use of competency framing to validate the candidates is the high point of the case

By the end of case discussion participants should be able to understand the following: differentiate skills required in a sales leadership role as compared to that of a sales executive; evaluate the pros and cons of internal promotions versus hiring an outsider; apply the concept of competency framework to evaluate different candidates vying for the same position; and understand how a candidate not selected for the position understands the reasons thereof to enable improvements.

Started in 2010, Zyne Furnishings headquartered at Delhi, was in the business of selling home furnishings. Raman, a second-generation entrepreneur was Zyne’s Managing Partner. With help from his father Rajesh Gupta, Raman worked toward expanding Zyne’s business operations in India. Raman was facing a challenge because of the abrupt resignation of Prashanth, the Western Region SM. Prashant had done well in the region and assiduously built Zyne brand’s presence there. As Raman pondered over the ways of filling up the SM position, questions confronted him for which he did not have immediate answers. He had 30 days in which a replacement must be finalized. Raman looked at the file containing the applications of the two internal candidates, namely, Amit (Southern region) and Neha (Western region) who had applied for the position. What evaluation process should he adopt to ensure an objective assessment is done before deciding on which of the two candidates fit the bill? Given that it was the first week of January 2020 and the year-end targets had to be met by March, Raman knew time was running out. He had to take a quick call. Use of competency mapping to evaluate candidates is a high point of the case. This case can be used to enhance the participants understanding of the challenges of identifying the right candidate for a senior position and weigh the pros and cons associated with the selection. Motivating the rejected internal candidate through the procedural justice system adds value to the case.

Teaching notes are available for educators only.

CSS 8: Marketing.

A mathematical model is developed for the description of the thermohydraulics of the two‐phase flow phenomenon in a vertical pipe. Using an additional momentum equation for the slip velocity, it is shown that the computation of slip and pressure drop from the model equations is possible without the use of any external correlations. The finite element method is used to solve the governing equations. The predictions for a steam‐water two‐phase flow in vertical upflow with constant wall heat flux agree well with experimental results and with widely used correlations.

The purpose of this paper is to provide an effective and simple technique to structural damage identification, particularly to identify a crack in a structure. Artificial neural networks approach is an alternative to identify the extent and location of the damage over the classical methods. Radial basis function (RBF) networks are good at function mapping and generalization ability among the various neural network approaches. RBF neural networks are chosen for the present study of crack identification.

Analyzing the vibration response of a structure is an effective way to monitor its health and even to detect the damage. A novel two‐stage improved radial basis function (IRBF) neural network methodology with conventional RBF in the first stage and a reduced search space moving technique in the second stage is proposed to identify the crack in a cantilever beam structure in the frequency domain. Latin hypercube sampling (LHS) technique is used in both stages to sample the frequency modal patterns to train the proposed network. Study is also conducted with and without addition of 5% white noise to the input patterns to simulate the experimental errors.

The results show a significant improvement in identifying the location and magnitude of a crack by the proposed IRBF method, in comparison with conventional RBF method and other classical methods. In case of crack location in a beam, the average identification error over 12 test cases was 0.69 per cent by IRBF network compared to 4.88 per cent by conventional RBF. Similar improvements are reported when compared to hybrid CPN BPN networks. It also requires much less computational effort as compared to other hybrid neural network approaches and classical methods.

The proposed novel IRBF crack identification technique is unique in originality and not reported elsewhere. It can identify the crack location and crack depth with very good accuracy, less computational effort and ease of implementation.

The learning outcomes of this case study are to develop an understanding of informal business practices (IBP) from an economic and a behavioural perspective, identify the pros and cons of IBP and how they can hinder the realization of entrepreneurial aspirations, use the effectuation perspective to understand the entrepreneurial journey of the protagonist and apply the strengths, weaknesses, opportunities and threats (SWOT) analysis and effectuation theory to understand the need for transition from informal to formal business practices.

KSN Iyengar Catering Services (KSNICS) had gained popularity for cooking and serving traditional “Iyengar” cuisine during festivals, ceremonies and other auspicious occasions. With the passage of time, KSNICS slowly diversified into offering food carrier services, corporate catering and preparation of sweets/savouries during the Diwali festival. The enterprise managed to sustain itself without additional investments from external sources. KSNICS was managed in an informal manner by the protagonist, Krishna Kumar. After almost 30 years of KSNICS’s existence, in 2021, Kumar felt that they should diversify into the restaurant business by establishing an authentic “Iyengar” restaurant. In spite of the unpredictable market and the challenging times due to the COVID-19 pandemic, he had somehow managed to sustain his catering business. However, given the informal methods through which he operated his catering services and in the post-COVID-19 pandemic scenario, would it be prudent on his part to establish a restaurant?

This case study is suitable for post-graduate- and executive-level instruction in courses such as managerial skills, entrepreneurship and human resource management. In managerial skills course, it can be used for applying SWOT analysis from a particular perspective for effective decision-making. In entrepreneurship-related courses, it can be used to introduce aspects such as entrepreneurship orientation, effectuation and decision-making. In organizational behaviour and HR-related courses, it can be used to highlight how employees can be trained and motivated and how businesses can be sustained within the scale, especially during challenging times. Irrespective of the course, the IBP discussion would remain a constant point of reference because that was the context under which the current business was operating.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

We make use of the Volunteered Geographic Information (VGI) data to extract the total extent of the roads using remote sensing images. VGI data is often provided only as vector data represented by lines and not as full extent. Also, high geolocation accuracy is not guaranteed and it is common to observe misalignment with the target road segments by several pixels on the images. In this work, we use the prior information provided by the VGI and extract the full road extent even if there is significant mis-registration between the VGI and the image. The method consists of image segmentation and traversal of multiple agents along available VGI information. First, we perform image segmentation, and then we traverse through the fragmented road segments using autonomous agents to obtain a complete road map in a semi-automatic way once the seed-points are defined. The road center-line in the VGI guides the process and allows us to discover and extract the full extent of the road network based on the image data. The results demonstrate the validity and good performance of the proposed method for road extraction that reflects the actual road width despite the presence of disturbances such as shadows, cars and trees which shows the efficiency of the fusion of the VGI and satellite images.

Distinguishing phishing emails from legitimate emails continues to be a difficult task for most individuals. This study aims to investigate the psycholinguistic factors associated with deception in phishing email text and their effect on end-user ability to discriminate phishing emails from legitimate emails.

Email messages and end-user decisions collected from a laboratory phishing study were validated and analyzed using natural language processing methods (Linguistic Inquiry Word Count) and penalized regression models (LASSO and Elastic Net) to determine the linguistic dimensions that attackers may use in phishing emails to deceive end-users and measure the impact of such choices on end-user susceptibility to phishing.

We found that most participants, who played the role of a phisher in the study, chose to deceive their end-user targets by pretending to be a familiar individual and presenting time pressure or deadlines. Results show that use of words conveying certainty (e.g. always, never) and work-related features in the phishing messages predicted higher end-user vulnerability. On the contrary, use of words that convey achievement (e.g. earn, win) or reward (cash, money) in the phishing messages predicted lower end-user vulnerability because such features are usually observed in scam-like messages.

Insights from this research show that analyzing emails for psycholinguistic features associated with computer-mediated deception could be used to fine-tune and improve spam and phishing detection technologies. This research also informs the kinds of phishing attacks that must be prioritized in antiphishing training programs.

Applying natural language processing and statistical modeling methods to analyze results from a laboratory phishing experiment to understand deception from both attacker and end-user is novel. Furthermore, results from this work advance our understanding of the linguistic factors associated with deception in phishing email text and its impact on end-user susceptibility.

GMR Infrastructure Limited (GMRIL) had to make a decision on its continued role in the 555.48 km Kishangarh Udaipur Ahmedabad (KUA) Expressway Project, India's then longest road public-private partnership (PPP) project. GMR had terminated the contract citing NHAI's failure in fulfilling Conditions Precedent (CP) of providing (i) environment clearance (EC), (ii) revised toll free notification and (iii) 80% of required land. The case intends to educate the reader on the concessionaire-authority dynamics in typical Indian infrastructure PPPs. Taking into account its internal strategy, the extant unfavourable investment climate, the Central Government's steps to revive private interest in the highways sector and NHAI's quick turnaround in fulfilling CP, GMR had to decide how to respond.

Laser powder bed fusion (LPBF) can be used to fabricate complex extrusion die without the limitation of structures. Layer-by-layer processing leads to differences in microstructures and wear properties. This study aims to investigate the microstructure evolution and effects of tungsten carbide (WC) on the wear properties of LPBF-printed 18Ni300.

Economical spherical granulation-sintering-deoxygenation (GSD) WC-reinforced 18Ni300 steel matrix composites were produced by LPBF from powder mixtures of WC and 18Ni300. The effects of WC contents on anisotropic microstructures and wear properties of the composites were investigated.

The relative density is more than 99% for all the composites except 25% WC/18Ni300 composite. The grain sizes distributed on the top cross-section are smaller than those on the side cross-section. After adding WC particles, more high-angle grain boundaries and larger Schmid factor generate, and deformed grains decrease. With increasing WC contents, the hardness first decreases and then increases but the wear volume loss decreases. The side cross-section of the composite has higher hardness and better wear resistance. The 18Ni300 exhibits adhesive wear accompanying with abrasive wear, while plowing and fatigue wear are the predominant wear mechanisms of the composites.

Economical spherical GSD WC particles can be used to improve the wear resistance. The novel WC/18Ni300 composites are suitable for the application under the abrasive wear condition with low stress.