Search results

Enzymes play a pivotal role in orchestrating essential biochemical processes and influencing various cellular activities in tissue. This paper aims to provide the process of enzyme diffusion within the tissue matrix and enhance the nano system performance by means of the effectiveness of enzymatic functions. The diffusion phenomena are also documented, providing chemical insights into the complex processes governing enzyme movement.

A computational analysis is used to develop and simulate an optimal control model using numerical algorithms, systematically regulating enzyme concentrations within the tissue scaffold.

The accompanying videographic footages offer detailed insights into the dynamic complexity of the system, enriching the reader’s understanding. This comprehensive exploration not only contributes valuable knowledge to the field but also advances computational analysis in tissue engineering and biomimetic systems. The work is linked to biomolecular structures and dynamics, offering a detailed understanding of how these elements influence enzymatic functions, ultimately bridging the gap between theoretical insights and practical implications.

A computational predictive model for nanozyme that describes the reaction diffusion dynamics process with enzyme catalysts is yet not available in existing literature.

This paper aims to reduce the cost of experiments required to test the efficiency of materials suitable for artificial tissue ablation by increasing efficiency and accurately forecasting heating properties.

A two-step numerical analysis is used to develop and simulate a bioheat model using improved finite element method and deep learning algorithms, systematically regulating temperature distributions within the hydrogel artificial tissue during radiofrequency ablation (RFA). The model connects supervised learning and finite element analysis data to optimize electrode configurations, ensuring precise heat application while protecting surrounding hydrogel integrity.

The model accurately predicts a range of thermal changes critical for optimizing RFA, thereby enhancing treatment precision and minimizing impact on surrounding hydrogel materials. This computational approach not only advances the understanding of thermal dynamics but also provides a robust framework for improving therapeutic outcomes.

A computational predictive bioheat model, incorporating deep learning to optimize electrode configurations and minimize collateral tissue damage, represents a pioneering approach in interventional research. This method offers efficient evaluation of thermal strategies with reduced computational overhead compared to traditional numerical methods.

The purpose of this study is to fabricate a highly sensitive humidity sensor for observing the humidity effect on a robot’s body as an application of the Internet of Things. The sensor has been fabricated by depositing a thin sensing layer of nickel phthalocyanine (NiPc) between two silver electrodes.

The structure of the thin film was observed by X-ray diffraction, optical properties by UV Vis and surface morphology by scanning electron microscope. The capacitance and the resistance with respect to change in relative humidity from 0 to 100%RH have been measured by LCR meter at 1 kHz.

The sensor’s response time is 7.5 s and its recovery time is 3.7 s, with high sensitivity of 127,259 pF/%RH and 332.287 MΩ/%RH. The authors have also used a proposed sensor on a steel body and observed humidity values. The analysis of all measured values was performed through the classical and neutrosophic approaches. By comparing, the authors have observed that the neutrosophic approach is more efficient in analyzing the sensor data.

In this work, the authors will fabricate a capacitive and resistive-type humidity sensor using the thin film of NiPc. The structural, optical and morphological properties of NiPc thin film will be investigated with different characterization techniques. The electric properties, i.e. capacitance and resistance, will be measured at intervals with an LCR meter by changing relative humidity (%RH). Moreover, the measured data will be analyzed through different statistical approaches, as already used in [12].

The objective of this study was to look closely at how domestic violence is represented in Pakistani drama serials to see if portrayals are reinforcing stereotypical and/or patriarchal values, or breaking the rigid norms.

With the help of dispositive analysis within the critical discourse approach, the prominent and non-dominant discourses about domestic violence were identified and discussed. Episodes from two popular drama serials, Kaisa Yeh Naseeban and Khaas, released in 2019, were watched with special focus on texts on domestic violence alongside objects and actions.

Analysis showed that both drama serials gave importance to socio-systemic and liberal humanist instrumentalism discourses, which describe domestic violence as a result of social structures and that abuse is used to assert control, respectively. However, some instances were noted where patriarchal values were encouraged.

As media has become a powerful tool of influence and awareness in the recent times, it is imperative that the content watched on it by millions of people be studied and analyzed. It is claimed that Pakistani drama serials with wide following and that are made on social issues around women aim to raise awareness and empower them. Domestic violence is a prevalent issue in Pakistan, and no research till date has examined representation of domestic violence on Pakistani popular media, which may influence response to domestic violence, which this paper aims to do.

Corporate strategy and family business management.

The case is designed for usage in senior-level undergraduate courses of strategic management and managing family businesses.

This case study relates the story of the launch and development of Zayed Al Hussaini Group, a family business in the United Arab Emirates (UAE). The business had been established a year after the unionization of the different Emirates by the founder, Zayed Al Hussaini, in partnership with his brother. Following a series of strategic moves, such as acquisitions and divestures, and adverse family-related events, the Group was led solely by the founder himself. Over the years, Zayed Al Hussaini Group has grown to become a successful family business in various industries of its operation, but following the death of the founder's son, the company activities have been struck with chaos. Zayed's nephew, Ahmed, who had left the family business to continue his studies and work at McKinsey & Company in London, has been called back home after eight years to take the lead of the entire Group. However, he is faced with several challenges, such as dealing with the family gap he has developed over time and balancing family and business priorities. Will Ahmed be able to make the right decisions in the role and responsibilities that have been bestowed upon him?

To analyse the process of launching a family business and making strategic decisions for managing its development over time.

To assess the potential difficulties and challenges which are associated with managing a family-run organization.

To evaluate the effectiveness of decisions with regards to the company's growth and succession management planning.

To apply relevant theoretical concepts to the analysis of complex situations in the specific context of family businesses.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

The information and communication technologies have made it progressively practical for employees to remain associated with work, even when they are not in the workplace. However, prior studies have provided very little understanding of the implications for the deviant behavior aspect. The current study aims to investigate the association between after-hours work-related technology usage and interpersonal, organizational and nonwork deviance through psychological transition, interruption overload and task closure. The authors draw upon the theory of conservation of resource (COR) to examine the research model.

The primary data for the study has been collected in two waves from the sample of 318 employees who were working in diverse organizations in the Anhui province of the People's Republic of China for empirical testing of the authors’ research model.

This study's findings have revealed the positive association of after-hour work-related technology use with individuals' deviance in its entire three forms through psychological transition and interruption overload and have negative associations with all forms of deviance through task closure.

The significant contribution of this study is in the literature on technology use and employee outcomes, by identifying the consequences of technology use in both work (interpersonal deviance and organizational deviance) and outside work domain (nonwork deviance) and exploring the underlying mechanisms for these relationships in detail. To the best of the authors’ knowledge, this study is the first of its kind that investigates a relationship between after-hours technology use and all three kinds of deviance while exploring both the positive and negative perspectives in one study.

The purpose of this study is to investigate the effect of after-hours work-related technology use on interpersonal, organizational and nonwork deviance through work–family conflict (WFC) by focusing on the moderating role of other- and self-initiated interruptions.

The online survey included 318 valid samples from employees working in different organizations in the Anhui provinces of the People's Republic of China. The authors applied Statistical Package for Social Sciences (SPSS) process macros for testing mediation and moderated mediation analysis while conducting path analytic procedures and bootstrapping analysis.

This study found that after-hours work-related technology use is positively associated with interpersonal, organizational and nonwork deviance through WFC. This positive relationship strengthens in the presence of other-initiated interruptions compared with self-initiated interruptions. The results show that as compared to self-initiated interruptions, other-initiated interruptions strengthen the relationship between after-hours work-related technology use and its outcomes in the forms of WFC and deviance.

After-hours work-related technology use is a ubiquitous phenomenon and got significant scholarly attention. However, its effect on WFC and individual deviant behaviors has never been studied. Moreover, the moderated-mediation role of self-initiated and other-initiated interruptions presents a unique and important development in the context of after-hours work-related technology use and deviant behavior.

The purpose of this paper is to deliver a summary of the influential work regarding value co-creation in the context of social media. Although, research on the role of social media in co-creation and new product development is growing field; the extant literature is still in developing stage, which needs systematization and categorization to comprehend its current stage and previous research.

For this purpose, existing literature on social media and co-creation was studied. Initially, a citation analysis was conducted of influential papers correlated with the topic to identify three streams of research. Later, thematic analysis was carried out to explore specific themes within these categories.

Through citation analysis three research streams namely customer’s co-creation on new product development, firm specific capabilities for knowledge sharing, absorption and processing and new opportunities were identified. Later, total four categories were identified through thematic analysis which contains different sub-themes such as test of theories, proposed theoretical frameworks, lead users characteristics, customer’s motivation and experience regarding co-creation, online communities of customers and open innovation.

This study also categorizes and systemizes the extant literature exploring role of social media in value co-creation. Such systematic review of the extant literature will help the academicians to understand the previous stream of work and pursue a particular line of enquiry in furthering the understanding of interaction between social media and co-innovation.

This work is particularly useful for practitioners as more firms are moving the business online. These firms are actively using social media and user-generated content to gain insight into customer’s preferences. By increasing the participation of customers and lead users through online communities, firms can also increase customer’s commitment.

The paper adds to the extant literature by identifying research streams and themes in the extant literature on the role of social media in value co-creation. Later, these themes are abductively linked to develop a theoretical framework.

Literature around the careers of female academics is targeted mainly toward identifying and examining career progression inhibitors, while the drivers appear largely unexplored. This paper aims to contribute to contemporary knowledge by identifying drivers to the career progression of female academics in Australia. With COVID-19 currently impacting the careers of female academics this knowledge can assist universities and human resource (HR) professionals in developing policies and practices to better facilitate female academic career progression.

Empirically this paper draws on a qualitative study of 18 male and 29 female academics, as well as nine senior university stakeholders. The authors employed semi-structured interviews and a novel methodology, Draw, Write, Reflect.

In line with attribution theory, senior stakeholders mainly identified organisational efforts, including leadership, gender equity endeavours, recruitment and promotion approaches, as well as a construct known as “relative to opportunity considerations”, as drivers of female academics’ career progression. Female academics, however, largely attributed their career progression to personal factors, such as family support, informal mentoring, and determination and persistence.

The findings have implications for universities and HR practices seeking to facilitate female academic career progression. Implementation of the drivers identified may enhance female academics’ abilities to progress their careers.

By focussing on the drivers of, rather than the barriers to, female academic careers, the research is novel in its identification of a previously unexplored mismatch between organisational attribution and individual attribution of career progression drivers thereby advancing knowledge of gender differences in academic careers.