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A novel method has been proposed to reduce the false alarm rate of arrhythmia patients regarding life-threatening conditions in the intensive care unit. In this purpose, the atrial blood pressure, photoplethysmogram (PLETH), electrocardiogram (ECG) and respiratory (RESP) signals are considered as input signals.

Three machine learning approaches feed-forward artificial neural network (ANN), ensemble learning method and k-nearest neighbors searching methods are used to detect the false alarm. The proposed method has been implemented using Arduino and MATLAB/SIMULINK for real-time ICU-arrhythmia patients' monitoring data.

The proposed method detects the false alarm with an accuracy of 99.4 per cent during asystole, 100 per cent during ventricular flutter, 98.5 per cent during ventricular tachycardia, 99.6 per cent during bradycardia and 100 per cent during tachycardia. The proposed framework is adaptive in many scenarios, easy to implement, computationally friendly and highly accurate and robust with overfitting issue.

As ECG signals consisting with PQRST wave, any deviation from the normal pattern may signify some alarming conditions. These deviations can be utilized as input to classifiers for the detection of false alarms; hence, there is no need for other feature extraction techniques. Feed-forward ANN with the Lavenberg–Marquardt algorithm has shown higher rate of convergence than other neural network algorithms which helps provide better accuracy with no overfitting.

Autism spectrum conditions (ASC) and borderline personality disorder (BPD) have overlapping symptom profiles. Dialectical behaviour therapy (DBT) is an established treatment for self-harm and BPD, but little research has investigated the outcomes of DBT for ASC populations. This exploratory service evaluation aims to investigate the outcomes of a comprehensive DBT programme for adolescents with a diagnosis of emerging BPD and a co-occurring ASC diagnosis as compared to those without an ASC diagnosis.

Differences from the start to end of treatment in the frequency of self-harming behaviours, BPD symptoms, emotion dysregulation, depression, anxiety, the number of A&E attendances and inpatient bed days, education and work status, and treatment non-completion rates were analysed for those with an ASC diagnosis, and compared between those with an ASC diagnosis and those without.

Significant medium to large reductions in self-harming behaviours, BPD symptoms, emotion dysregulation and inpatient bed days were found for those with an ASC diagnosis by the end of treatment. There were no significant differences between those with an ASC and those without in any outcome or in non-completion rates. These findings indicate that DBT may be a useful treatment model for those with an ASC diagnosis, though all results are preliminary and require replication.

To the best of the authors’ knowledge, this is the first study to report the outcomes of a comprehensive DBT programme for adolescents with an ASC diagnosis, and to compare the changes in outcomes between those with a diagnosis and those without.

This study aims to address the social, cultural, financial and psychological obstacles these women face in preserving their living arrangements and in parenting as well as the coping mechanisms women adopt to overcome everyday challenges. Researchers used qualitative methodology and interviews to fulfill the aims.

Researchers used qualitative methodology and interviews to fulfill the aims. The sample consists of 20 Syrians living in Jordan’s Amman, Irbid and Al Ramtha in specially designed compounds for them (14 widows and 6 divorcees).

This study’s findings demonstrate that social and cultural norms existing in Jordan and Syria are generally similar, in which women view the males in the family as a source of socioeconomic and emotional stability for them. Widows and divorcees face serious sociocultural, financial and psychological challenges in maintaining their living conditions and the integration process as well as performing single parenting. Faith and social connections represent an important part of coping with the situation in the short term; nevertheless, financial and psychological support seems a vital component in the long term. Research on the conditions of widows and divorcees provides evidence to comprehensively approach the issue of “vulnerabilities” in the humanitarian-policy programming targeting refugees. Theoretically, the findings may provide empirical insights for discussions around women’s changing identities through displacement, agency and empowerment in relation to parenting experiences.

The lived experience of widowhood and divorce among Syrian is understudied, while their resilience strategies are less known. To fill these gaps, this study focuses on Syrian refugee widows and divorcees who are raising their children in specially designated compounds in Jordan and the difficulties they face on social, economic and emotional levels. Besides its originality in providing empirical material about challenges Syrian women faced, our study contributes to better understand women's claims for agency and empowerment as a part of identity changes.

It is over 20 years since the publication of the Wanless Report, “Securing our Future Health: Taking a Long-Term View”. The Wanless Report argued that the National Health Service (NHS) would survive in its current form only if the population became “fully engaged” with it.

In this discussion paper, the authors explored what “fully engaged” meant to Wanless, what it might mean now (allowing for the impact of the anti-vaxxer movement) and what policymakers could do to enhance public engagement.

Although the Wanless Report neatly fitted into other long-term thinking about the NHS, it was unique in that it built economic models to predict the costs and impact of different patterns of NHS performance. Wanless predicted that people’s poor levels of health would put considerable pressure on the NHS. This pressure could swamp efforts to meet healthcare targets and improve health outcomes, despite its sizeable investment of money. Wanless set out three possible scenarios for public engagement with the NHS: solid progress, slow uptake and fully engaged.

The authors pose questions for policymakers and practitioners. Would a reboot of the Wanless approach be worth the effort for policymakers? If yes, how would it differ from the original? The NHS faces the whole of society; could it be the vehicle for engaging the anti-vaxxer public with the truthfulness of medical science, and will it be this, that is, Wanless' enduring legacy?

The exploration of the Wanless Report is complicated (at least for the time being) by the rise of the anti-vaxxer movement’s resistance to health promotion and mistrust of part of the NHS.

Social welfare scholarship has not paid adequate attention to the phenomenon of single-parent women in Asia, especially in terms of their economic and social vulnerabilities. This study aims to explore the strategies employed by women who are single parents to secure their families from socioeconomic issues. It also delves into the experiences and viewpoints of families regarding the social institutions they turn to for assistance during times of hardship – whether it be the state, market, or informal networks.

The data were collected through 33 semi-structured interviews, with informants selected using the purposive sampling technique in South Sumatra Province, Indonesia, from February 2023 to July 2023. This number was obtained based on informants who were included in the criteria the researchers determined, which included “being a female single parent” and “being over the age of 17,” which is the minimum age for Indonesians to marry. Others included “having dependents to support, be they children and/or the respondent’s family” and occupying the main role as “household head” – all of which defined whether someone belongs to the “vulnerable group.”

The study highlights the significance of informal support for single mothers facing economic hardship. Still, overreliance on it can lead to concerns about the sustainability of the everyday social safety net they receive. Social exclusion is also problematic due to societal assumptions about divorce and widowhood. The last highlight is how 'deskilling' among single parents has complicated the challenges women face to re-enter the workforce.

This study’s outcomes provide crucial insights into analyzing the patterns of single-parent families in Indonesia and serve as a framework for further research on the resilience of single parents in developing countries.

This paper aims to examine the impact of announcements related to 77 interventions by 46 listed Indian pharmaceutical firms during COVID-19 on the abnormal returns of the firms. The study also finds the variables which explain cumulative abnormal returns (CARs).

This study uses standard event methodology to compute the abnormal returns of firms announcing pharmaceutical interventions in 2020 and 2021. Besides this, the multilayer perceptron technique is applied to identify the variables that influence the CARs of the sample firms.

The results show the presence of abnormal returns of 0.64% one day before the announcement, indicating information leakage. The multilayer perceptron approach identifies five variables that explain the CARs of the sample companies, which are licensing_age, licensing_size, size, commercialization_age and approval_age.

The study contributes to the efficient market literature by revealing how firm-specific nonfinancial disclosures affect stock prices, especially in times of crisis like pandemics. Prior research focused on determining the effect of COVID-19 variables on abnormal returns. This is the first research to use artificial neural networks to determine which firm-specific variables and pharmaceutical interventions can influence CARs.

Contrary to want-based services, customer participation has got lesser attention in high-credence services like health care. Customer participation for patients with chronic illnesses could be life-threatening and goes beyond the service organization’s physical environment. Realizing the importance of transformative service research in health-care services, this study aims to propose and validate the conceptualization of customer participation for patients with chronic illnesses.

The study uses sequential exploratory research design with mixed method research. The first phase is a qualitative exploration of the nature and meaning of customer participation by synthesizing theory and insights from semi-structured interviews (N = 75) with doctors, patients and paramedical staff. Next, survey data (N = 690) of patients with chronic illnesses is used to validate the proposed conceptualization. Finally, nomological validity was also tested on an additional survey data set (N = 362) using SEM and FsQCA.

The findings reveal that health-care customer participation is a three-dimensional behavioral construct in which a customer can participate by sharing information, involving in decision-making and ensuring compliance. The study also demonstrates that customer participation is a critical driver of satisfaction with life and perceived control on illness.

The research provides policy guidelines for owners and operators of health-care organizations in developing frameworks for collecting participation data, which can be used in strategies for seeking customer participation.

The research conceptualizes and validates “customer participation” as a multidimensional higher-order construct for patients with chronic illnesses, rarely focused in services marketing and management research on health care.

Nowadays, in many organizations, products are not delivered instantly. So, the customers should wait to receive their needed products, which will form a queueing-inventory model. Waiting a long time in the queue to receive products may cause dissatisfaction and churn of loyal customers, which can be a significant loss for organizations. Although many studies have been done on queueing-inventory models, more practical models in this area are needed, such as considering customer prioritization. Moreover, in many models, minimizing the total cost for the organization has been overlooked.

This paper will compare several machine learning (ML) algorithms to prioritize customers. Moreover, benefiting from the best ML algorithm, customers will be categorized into different classes based on their value and importance. Finally, a mathematical model will be developed to determine the allocation policy of on-hand products to each group of customers through multi-channel service retailing to minimize the organization’s total costs and increase the loyal customers' satisfaction level.

To investigate the application of the proposed method, a real-life case study on vaccine distribution at Imam Khomeini Hospital in Tehran has been addressed to ensure model validation. The proposed model’s accuracy was assessed as excellent based on the results generated by the ML algorithms, problem modeling and case study.

Prioritizing customers based on their value with the help of ML algorithms and optimizing the waiting queues to reduce customers' waiting time based on a mathematical model could lead to an increase in satisfaction levels among loyal customers and prevent their churn. This study’s uniqueness lies in its focus on determining the policy in which customers receive products based on their value in the queue, which is a relatively rare topic of research in queueing management systems. Additionally, the results obtained from the study provide strong validation for the model’s functionality.

This study aims to understand how and when employees' pandemic fears influence their lateness attitude, with a particular focus on how this influence is mediated by emotional exhaustion and moderated by a perceived safety climate.

Survey data were collected among employees in the retail sector.

A core mechanism that explains the escalation of pandemic fears into beliefs that tardiness is acceptable is employees' sense that employees are emotionally overextended by work. The extent to which employees perceive that their organization prioritizes safety issues subdues this detrimental process though.

For human resource management (HRM) practice, the findings point to the notable danger that employees who cannot stop ruminating about an external crisis, and feel emotionally overburdened as a result, might compromise their own organizational standing by devoting less effort to punctuality. To disrupt this dynamic, HR managers can create organizational climates that emphasize safety practices.

This study adds to HRM research by revealing a pertinent source of personal adversity, pandemic fears, and how the fears affects tendencies to embrace tardiness at work. The study explicates how emotional exhaustion functions as a core conduit that connects this resource-draining condition with propensities to show up late, as well as how safety climate perceptions can buffer this translation.

The main purpose of this paper was to evaluate the validation process of food safety control measures.

The validation of control measures has been analyzed at 50 food companies in Serbia. The sample included companies that produce food of both plant and animal origin and have certified food safety management systems. A total of 156 control measures that combat physical hazards (41.6%), followed by microbial hazards (34.0%) and chemical hazards (24.4%), have been analyzed. To enable quantification of the validation protocols, each control measure was assigned a score.

The validation scores showed that the highest level of validation was observed in large companies, as opposed to small and medium-sized companies (p < 0.05). The type of food safety hazards and the food sector did not reveal any statistical differences in-between the scores. The main approach to validating control measures was referring to the technical documentation of equipment used (52.6%), followed by scientific and legal requirements (30.7%). Less than 20% of the analyzed control measures were validated with operational data collected on-site. No mathematical modeling was observed for the sampled food companies. Future steps should include the development of validation guides for different types of control measures and training modules.

This study can serve as an improvement guide for food safety consultants, food safety auditors, certification bodies, inspection services, food technologists and food managers.

This study is one of the first to provide an insight into how food companies validate their control measures to combat microbial, chemical and physical food safety hazards.