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Nursing students encounter a combination of academic rigor, clinical demands and emotional hurdles. Juggling coursework, practical training and patient interaction can be stressful, and exposure to such situations may impact their psychological well-being. This study aims to highlight the top strengths among nursing students and identify the strengths associated with well-being.

Convenience sampling was used to select a sample of 150 nursing students studying in first, second and third year from colleges of Gujarat and Rajasthan. Students were administered the Values In Action character strengths inventory, the satisfaction with life scale and scale of positive and negative experience. Data was analyzed using descriptive statistics and correlation.

Results show that among nursing students, kindness emerged as the foremost strength with the highest mean, followed by honesty, creativity, spirituality and teamwork, and the strengths of curiosity, gratitude, perseverance, self-regulation, social intelligence, and zest were positively associated with life satisfaction and positive emotions and negatively related to negative emotions.

The small sample size was a limitation; however, this study has been conducted at different locations to improve generalizability.

This study has profound implications for nursing students, both in their personal development and their future roles as health-care professionals, as fostering these attributes can contribute to the students’ growth, well-being and effectiveness as compassionate and competent caregivers. Working on strengths is associated with well-being; therefore, using strengths identified by this study will have a beneficial effect on the students’ well-being.

Curiosity and social intelligence, for instance, can help nurses better understand patient needs and emotions, developing strengths like perseverance and self-regulation can equip nursing students with tools to cope effectively with the challenges inherent in health-care settings. Traits such as gratitude and social intelligence can enhance communication and empathy which are vital skills for establishing rapport with patients and their families. Emphasizing teamwork as a strength aligns with the collaborative nature of health care. By embodying values like kindness and spirituality, nursing students can create a more compassionate and meaningful experience for patients, as well as themselves.

The research paper identifies and emphasizes the five character strengths that are most commonly observed in a sample of Indian nursing students. In addition, this study delves deeper into these identified strengths to understand how they relate to the overall well-being of nursing students within this specific population. The existing literature has not explored it exhaustively.

Using the 2001 Census data, this paper analyses district‐level rural‐to‐urban migration rates (both intra‐state and inter‐state) among males and females separately. Though many of the relatively poor and backward states actually show large population mobility, male migration is also prominent in the relatively high‐income states. Rural women, on the other hand, usually migrate within the boundaries of the states. The social networks effects are prevalent among the short‐distance migrants, and the North/South divide in the Indian context is indeed a significant phenomenon, with the exception of a few metropolitan cities. Looking at the effect of factors at the place of destination, prospects for better job opportunities are a major determinant of male migration. Low castes, minority groups and women show network effects. The paper finally brings out the effect of migration on health.

A zero-day vulnerability is a complimentary ticket to the attackers for gaining entry into the network. Thus, there is necessity to device appropriate threat detection systems and establish an innovative and safe solution that prevents unauthorised intrusions for defending various components of cybersecurity. We present a survey of recent Intrusion Detection Systems (IDS) in detecting zero-day vulnerabilities based on the following dimensions: types of cyber-attacks, datasets used and kinds of network detection systems.

Purpose: The study focuses on presenting an exhaustive review on the effectiveness of the recent IDS with respect to zero-day vulnerabilities.

Methodology: Systematic exploration was done at the IEEE, Elsevier, Springer, RAID, ESCORICS, Google Scholar, and other relevant platforms of studies published in English between 2015 and 2021 using keywords and combinations of relevant terms.

Findings: It is possible to train IDS for zero-day attacks. The existing IDS have strengths that make them capable of effective detection against zero-day attacks. However, they display certain limitations that reduce their credibility. Novel strategies like deep learning, machine learning, fuzzing technique, runtime verification technique, and Hidden Markov Models can be used to design IDS to detect malicious traffic.

Implication: This paper explored and highlighted the advantages and limitations of existing IDS enabling the selection of best possible IDS to protect the system. Moreover, the comparison between signature-based and anomaly-based IDS exemplifies that one viable approach to accurately detect the zero-day vulnerabilities would be the integration of hybrid mechanism.

In a first of its kind, this paper tries to explore the long-run relationship between investors' sentiment and selected industries' returns over the period January 2010 to December 2021.

The paper uses 23 market and macroeconomic proxies to measure investor sentiment. Principal component analysis has been used to create sentiment sub-indices that represent investor sentiment. The autoregressive distributed lag (ARDL) model and other sophisticated econometric techniques such as the unit root test, the cumulative sum (CUSUM) stability test, regression, etc. have been used to achieve the objectives of the study.

The authors find that there is a significant relationship between sentiment sub-indices and industries' returns over the period of study. Market and economic variables, market ratios, advance-decline ratio, high-low index, price-to-book value ratio and liquidity in the economy are some of the significant sub-indices explaining industries' returns.

The study has relevant implications for retail investors, policy-makers and other decision-makers in the Indian stock market. Results are helpful for the investor in improving their decision-making and identifying those sentiment sub-indices and the variables therein that are relevant in explaining the return of a particular industry.

The study contributes to the existing literature by exploring the relationship between sentiment and industries' returns in the Indian stock market and by identifying relevant sentiment sub-indices. Also, the study supports the investors' irrationality, which arises due to a plethora of behavioral biases as enshrined in classical finance.

Auto‐components industry is a major subsector of automobile manufacturing sector and largest feeder industry that has put India on the global map for excellence and innovation. The purpose of this case study is undertaken to explore and understand the instruments adopted in designing and implementing the policies by Pune auto‐component small and medium enterprises (SMEs).

The study used published literature and field survey for investigating policies designed and implemented by the SMEs in Pune. Survey was planned for statistical homogeneity on the basis of geography, class of ownership and the period of enquiry. Triangulation between methods, respondents, records and documents, was used to increase accuracy between sources. Structured questionnaire response has been analyzed by logical and statistical techniques to arrive at conclusions. One‐way analysis of variance was employed for statistical analysis to corroborate the findings.

Pune SMEs have revealed the tri‐lateral instrument consisting of conceptualisation, formulation and outcome analysis as a basis for designing policies for business and further exposed bi‐lateral instrument, which uses grouping of core and complimentary approaches for effectively addressing the challenges in business, which extends to their accomplishment of continued existence and development.

This paper will add value to the knowledge base of entrepreneurship and SMEs especially in auto‐components sector. Apart from this it will aid industrialists, entrepreneurs, consultants, and managers in managing SMEs, making better and informed decisions regarding the adoption of a tri‐lateral approach.