A marked elevation in CASPASE 3 expression was measured at 122 (40 g/mL) and 185 (80 g/mL) compared to the control group. Following this investigation, the conclusion was drawn that Ba-SeNp-Mo demonstrated remarkable pharmacological attributes.
The present investigation explores the impact of internal communication (IC), job engagement (JE), organizational engagement (OE), and job satisfaction (JS) on employee loyalty (EL), guided by social exchange theory. Data collection, employing an online questionnaire survey with convenience and snowball sampling, involved 255 respondents from higher education institutions (HEIs) in Binh Duong province. Using partial least squares structural equation modeling (PLS-SEM), data analyses and hypothesis testing were performed. All relationships exhibited significant validation, with the sole exception of the connection between JE and JS, as indicated by the findings. In an emerging economy like Vietnam, this study, pioneering in its approach, examines employee loyalty within the HEI context. It integrates internal communication, employee engagement (including job and organizational engagement), and job satisfaction to construct and validate a research model. This research is expected to add to existing theory and deepen our insights into the multifaceted ways job engagement, organizational engagement, and job satisfaction might influence the connection between internal communication and employee loyalty.
Industries' strategies for computing technologies and industrial automation underwent a significant shift in the wake of the COVID-19 pandemic, focusing on the advancement of contactless processing. Cloud of Things (CoT) is one of the innovative computing technologies utilized for these types of applications. CoT integrates the most recent innovations in cloud computing with the expansive reach of the Internet of Things. The advancements in industrial automation have created highly interdependent relationships, as cloud computing is the foundational component within IoT technology. This system provides comprehensive support for data storage, analytics, processing, commercial application development, deployment, and security compliance. Industrial processes can benefit from sustainable development by utilizing the amalgamation of cloud technologies with IoT to create more useful, smart, service-oriented, and secure utility applications. The pandemic's facilitation of remote computing utilities has resulted in a significant and exponential escalation of cyberattacks. A review of CoT's role in industrial automation is presented, complemented by an examination of the security elements present in the tools and applications supporting the circular economy. Traditional and non-traditional CoT platforms used in industrial automation have been analyzed for their security threats, with particular attention paid to the corresponding security features. In industrial automation, the security problems and complexities of IIoT and AIoT have also been dealt with.
Prescriptive analytics, a captivating segment of the broader analytics sphere, is attracting increasing interest among academicians and practitioners. Since its inception and emergence as a relevant topic, there is a pressing need for a review of existing prescriptive analytics literature to understand its progress. Bromodeoxyuridine supplier Although reviews exist in the relevant field, few specifically address the application of prescriptive analytics in sustainable operations research, as determined by content analysis. To overcome this knowledge gap, a thorough analysis of 147 articles published in peer-reviewed academic journals from 2010 to August 2021 was undertaken. By means of content analysis, five new and developing research themes have been ascertained. Through this exploration, we aim to expand the scholarly understanding of prescriptive analytics by defining and proposing new research themes and future research pathways. Our literature review informs a conceptual framework aimed at studying how the adoption of prescriptive analytics influences sustainable supply chain resilience, performance, and competitive advantage. The research culminates in a discussion of the managerial applications, its theoretical impact, and the boundaries of the study.
We present country-month-specific indices evaluating the effectiveness of government pandemic policy during COVID-19. Microscopes Our indices track data across 81 countries, ranging from May 2020 to November 2021. Governments, under the assumptions of our framework, are predicted to implement stringent policies detailed in the Oxford COVID-19 Containment and Health Index, for the sole purpose of saving lives. We observed positive and substantial correlations between our new indices and institutions, democratic principles, political stability, trust, substantial public spending on health, female labor force participation, and economic equality. The hallmark of efficient jurisdictions is often found in those where patience is deeply ingrained in their cultural fabric.
Studies show a direct correlation between organizational capability and operational performance, with both sensing and analytics capabilities being key contributors. This study constructs a framework to analyze the correlation between organizational abilities and operational productivity, with a particular emphasis on the execution of sensing and analytics capabilities. We investigate the strategic integration of a data-driven culture (DDC) within micro, small, and medium enterprises (MSMEs) through the combined frameworks of strategic fit theory, dynamic capability view, and resource-based view, aimed at enhancing operational performance. We employ empirical methods to analyze whether a DDC influences the connection between organizational capability and operational performance. Survey data from 149 MSMEs, subjected to structural equation modeling, indicates a positive impact of sensing and analytics capabilities on operational performance. Based on the results, a DDC demonstrates a positive moderating effect on the correlation between organizational capability and operational performance. The theoretical and practical implications of our findings, along with the study's limitations and prospects for future research, are explored in this section.
Employing an extended SIS model, we delve into the consequences of infectious diseases and social distancing, including the presence of state-contingent stochastic shocks with probabilistic variations. Random shocks act as catalysts for the spread of a novel disease strain, impacting both the number of infected individuals and the average biological characteristics of the causative agent. Variations in disease prevalence affect the probability of such shock events, and we analyze the impact of the state-dependent probability function's attributes on the long-run epidemiological outcome, which is typified by an invariant probability distribution spanning a continuum of positive prevalence levels. Our analysis reveals that social distancing, by constricting the extent of the steady-state distribution's support and consequently mitigating the fluctuations in disease prevalence, nonetheless causes the support to move to the right, potentially leading to a larger number of infected individuals in the long run compared to uncontrolled spread. Undeniably, social distancing continues to be an effective preventive measure, due to its effect of accumulating most of the distribution values at the lowest end of its spectrum.
Passenger rail transportation's revenue management plays a critical part in ensuring the profitability of public transportation services. Passenger rail service providers can leverage the intelligent decision support system proposed in this study, incorporating dynamic pricing strategies, fleet management, and capacity allocation. Based on the company's historical sales data, travel demand and price-sale relations are measured. Maximizing company profit in a multi-train, multi-class, multi-fare passenger rail transportation network is addressed by a presented mixed-integer non-linear programming model, considering different cost types. Due to the constraints imposed by market conditions and operational limitations, the model assigns each wagon to designated network routes, trainsets, and service categories on each day of the projected planning period. Due to the computational limitations of directly solving the mathematical optimization model, a heuristic approach, fix-and-relax, is used for tackling large-scale problems. Real-world numerical applications reveal the promising potential of the proposed mathematical model for significantly improving overall profits in contrast to the company's existing sales policies.
The online document's supplementary material is presented at the given URL, 101007/s10479-023-05296-4.
Available at 101007/s10479-023-05296-4, supplemental material complements the online edition.
In the modern digital age, global demand for third-party food delivery services is exceptionally high. hepatocyte differentiation The challenge of ensuring a sustainable food delivery operation is, however, formidable. Driven by the need for a unified perspective on third-party food delivery sustainability in the existing literature, we conducted a systematic review. The review identifies recent advancements in the field and underscores real-world applications. Our study commences with a review of pertinent literature, employing the triple bottom line (TBL) framework to classify prior research into the distinct areas of economic, social, environmental, and multi-dimensional sustainability. Three prominent research gaps emerge from our review: the lack of thorough investigation into restaurant preferences and decisions, the superficial treatment of environmental performance, and the limited study of multi-dimensional sustainability in third-party food delivery systems. Given the reviewed literature and observed industrial processes, we suggest five areas for future investigation that need a deeper, more detailed approach. Applications of digital technologies, along with restaurant activities, choices, and risk management, considering the TBL aspects and the consequences of the post-coronavirus pandemic, provide concrete examples.