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Recently, deep learning (DL) has been widely applied in various aspects of human endeavors. However, studies have shown that DL models may also be a primary cause of data leakage, which raises new data privacy concerns. Membership inference attacks (MIAs) are prominent threats to user privacy from DL model training data, as attackers investigate whether specific data samples exist in the training data of a target model. Therefore, the aim of this study is to develop a method for defending against MIAs and protecting data privacy.

One possible solution is to propose an MIA defense method that involves adjusting the model’s output by mapping the output to a distribution with equal probability density. This approach effectively preserves the accuracy of classification predictions while simultaneously preventing attackers from identifying the training data.

Experiments demonstrate that the proposed defense method is effective in reducing the classification accuracy of MIAs to below 50%. Because MIAs are viewed as a binary classification model, the proposed method effectively prevents privacy leakage and improves data privacy protection.

The method is only designed to defend against MIA in black-box classification models.

The proposed MIA defense method is effective and has a low cost. Therefore, the method enables us to protect data privacy without incurring significant additional expenses.

This study aims to investigate the effect of vibration on ceramic tools under dry cutting conditions and find the optimum cutting condition for the hardened steel machining process in a computer numerical control (CNC) lathe machine.

In this research, an integrated fuzzy TOPSIS-based Taguchi L9 optimization model has been applied for the multi-objective optimization (MOO) of the hard-turning responses. Additionally, the effect of vibration on the ceramic tool wear was investigated using Analysis of Variance (ANOVA) and Fast Fourier Transform (FFT).

The optimum cutting conditions for the multi-objective responses were obtained at 98 m/min cutting speed, 0.1 mm/rev feed rate and 0.2 mm depth of cut. According to the ANOVA of the input cutting parameters with respect to response variables, feed rate has the most significant impact (53.79%) on the control of response variables. From the vibration analysis, the feed rate, with a contribution of 34.74%, was shown to be the most significant process parameter influencing excessive vibration and consequent tool wear.

The MOO of response parameters at the optimum cutting parameter settings can significantly improve productivity in the dry turning of hardened steel and control over the input process parameters during machining.

Most studies on optimizing responses in dry hard-turning performed in CNC lathe machines are based on single-objective optimization. Additionally, the effect of vibration on the ceramic tool during MOO of hard-turning has not been studied yet.

Sustainable manufacturing is one of the most important and most challenging issues in present industrial scenario. With the intention of diminish negative effects associated with cutting fluids, the machining industries are continuously developing technologies and systems for cooling/lubricating of the cutting zone while maintaining machining efficiency. In the present study, three regression based machine learning techniques, namely, polynomial regression (PR), support vector regression (SVR) and Gaussian process regression (GPR) were developed to predict machining force, cutting power and cutting pressure in the turning of AISI 1045. In the development of predictive models, machining parameters of cutting speed, depth of cut and feed rate were considered as control factors. Since cooling/lubricating techniques significantly affects the machining performance, prediction model development of quality characteristics was performed under minimum quantity lubrication (MQL) and high-pressure coolant (HPC) cutting conditions. The prediction accuracy of developed models was evaluated by statistical error analyzing methods. Results of regressions based machine learning techniques were also compared with probably one of the most frequently used machine learning method, namely artificial neural networks (ANN). Finally, a metaheuristic approach based on a neural network algorithm was utilized to perform an efficient multi-objective optimization of process parameters for both cutting environment.

As the new emerging workforce, Generation Y (Gen Y) is said to be demanding, influential and possessing strong bargaining power. This study examines the impact of corporate social responsibility (CSR) on employee retention among Gen Y in the accounting profession. CSR is widely researched subject due to its applicability in multidisciplinary fields and industries. This research intends to investigate the nexus between CSR and human capital disciplines. It employs Carroll's pyramid of CSR as the main theoretical framework to establish its relationship with talent retention among Gen Y employees. This study has a threefold aim: (1) to determine the level of CSR awareness, (2) to determine the relationship between CSR dimensions and talent retention and (3) to examine the effect of CSR dimensions on talent retention.

The paper opted for an exploratory study using the structured questionnaire. A total of 377 Gen Y accountants who are currently working in accounting firms located in Klang Valley, Malaysia, were involved as respondents. Data were analyzed using descriptive, correlation and regression analyses to answer the research objectives.

The paper provided empirical insights about the impact brought by CSR practices in financial-based firms on employee retention. It was found that all CSR elements, as suggested by Carroll, have a significant relationship with employees’ retention. The interaction between the CSR elements and employee retention accounts for 16% of the research model. Based on the multiple regression analysis, it was found that only two CSR elements are the significant predictors of employee retention among Gen Y in the case of financial-based firms in Malaysia.

This research covers Gen Y employees in accounting firms; thus, generalization is not applicable to other generations. Besides, the predictors of the research study utilize Carroll’s pyramid of CSR. Therefore, future research studies are encouraged to validate the research model into other sectors. Other models of CSR could also be used.

This paper includes implication for the organization to understand employee retention practices on Gen Y who are currently dominating the workforce.

This paper fulfills an identified need to study how CSR practices could enhance employee retention among Gen Y in the organization.

Organisations working with children have acknowledged that unaccompanied refugee minors (URM) across Europe are exposed to environments and situations that put them at risk for becoming addicted to drugs or becoming involved in crime. The purpose of this paper is to study an examination of existing international research concerning URM and of whether, and if so how, issues relating to drug use and criminality among these children are discussed in the international literature.

A literature review was conducted using PsycINFO, PubMed, Sociological abstracts and ERIC databases, which together cover the social and behavioural science and also medicine.

Findings from the present review show that the issues of drug abuse and criminality among URM are rarely acknowledged in the international research literature. When the occurrence of substance abuse and/or criminality is discussed, it is often in relation to mental health problems and in terms of self-medication, i.e. that alcohol or drugs are used by the URM to cope with painful experiences or mental health problems, and also with the challenges of integrating into a new society, difficulties finding work, unsuitable living conditions and a lack of social support.

This review shows that several researchers have emphasised that untreated mental health problems, stressful living conditions and a lack of support and control might put these children at risk for substance abuse and criminality, and this suggests a need for further research in this area.

The purpose of this paper is to reach a deeper understanding of the Lean principle of respect for people (RFP to facilitate Lean implementation in Western organizations outside Toyota.

This study uses an interpretative, hermeneutic approach to understand the RFP concept through a literature study of existing research about Lean implementation, and an inquiry into the underlying meaning of the RFP principle, by studying sources from Toyota and discussions about the RFP principle in Japan.

RFP is seen as a central principle in Lean implementations, but the failure of RFP is believed to cause Lean implementations to fail. The literature about Lean discusses the RFP principle both as a general positive atmosphere and as focused on developing the work capacity of employees. By studying the sources from Toyota, it could be understood that RFP is based on ought-respect. The authors also find that RFP is related to takumi, a perfected form of craftsmanship. The authors translate the concept to English by tying it to the recent literature about craft to develop RFP as RFC – respect for craftsmanship.

As this is a conceptual paper, it is difficult to translate the findings into a tool for companies and organizations to use. However, that is the point of the paper: that the most important ideas are not translatable into tools.

It is necessary in Lean implementations to connect people’s work to craftsmanship. Through a discussion of craftsmanship before Lean implementations, it might be possible to nurture an understanding of the underlying values of Lean.

The authors have not found any papers that propose takumi as the base of the RFP principle, nor as a foundational concept at Toyota. It is necessary to understand the concept of takumi, as perfection in craft, to understand the RFP principle.

The purpose of this paper was to explore the development of the professional identity of South African intern psychologists during the COVID-19 pandemic. This paper – that presents a historical reflection borne from a significant moment in time – aimed to capture what the authors can learn from this specific cohort of intern psychologists and their experiences of work-based learning.

Through the lens of the interpretative phenomenological approach, the authors analysed seven semi-structured interviews. Data analysis involved a line-by-line analysis of each individual transcript, where after a thorough, in-depth analysis was conducted across all the cases.

Against the background of the COVID-19 pandemic, the findings demonstrated the interns' initial uncertainties, severe exhaustion, perceived gaps in their training, and resilience despite unusual and difficult circumstances in their WBL internship.

The study was limited to seven intern psychologists in South Africa.

The findings suggest that support – during and after the COVID-19 pandemic – is crucial throughout the training of psychologists and means to facilitate and develop professional identity and resilience. This will provide the opportunity to safeguard emerging healthcare professionals from burnout while simultaneously advocating for supportive WBL and continual professional development spaces protecting healthcare professionals and the public.

With this article, we explored the impact of the COVID-19 pandemic on the professional identity development of intern psychologists (psychologists in training). The authors expand on the aforementioned original contribution, since the authors situate their research within the Global South. More specifically, the authors explored how intern psychologists' developed their professional identities against the backdrop of a largely resource-scarce context of South Africa.

This study aims to examine the impact of market competition, and capital regulation on the cost of financial intermediation of banks of the Bangladesh banking industry.

This study has used a balanced panel dataset comprised of 340 firm-year observations for 34 commercial banks in the Bangladesh banking industry from 2011 to 2020. The Prais Winsten panel estimator has been used to assess the impact of market competition and capital regulation on the cost of financial intermediation of banks.

Based on the regression results, this study has documented that greater market competition results in a lower cost of financial intermediation for banks. Similarly, an increase in the regulatory capital of banks increases the cost of financial intermediation of banks. The main findings of this study are found robust by using alternative proxies for the cost of financial intermediation, market competition and capital regulation. The regression results also suggest that private commercial banks tend to have a higher cost of financial intermediation than state-owned commercial banks.

The regulatory reforms should aim to foster sustainable and optimal market competition for the Bangladesh banking industry to regulate the market power of banks to reduce the cost of financial intermediation. The regulatory authority of Bangladesh should find the optimal policy measures for implementing the capital regulation in the banking industry which would reduce the cost of financial intermediation margin of banks.

Unlike previous studies which have used structural market competition measures, this study has used non-structural market competition measures to assess the relationship between market competition and cost of financial intermediation in the Bangladesh banking industry.

This paper examines the strategies that volunteers use when supporting asylum seekers with their information challenges to be able to develop services for asylum seekers and promote their access to reliable information in the most suitable way.

Semi-structured interviews were conducted with seven volunteers who help asylum seekers with their asylum cases in two cities in Finland. The interview data was thematically coded and analysed.

Six types of information-related strategies were identified: information mediatory, language adjustment, spatial and non-verbal communicative, inclusive, and supervisory strategies, as well as strategies with shifting roles. These strategies holistically support asylum seekers' information practices, considering the challenges of their situation and emotional needs.

This study creates new knowledge about volunteers' role in the information practices of asylum seekers, highlighting their unique position both in and outside the asylum system. Information-related strategies are a novel way of examining the ways to holistically support other people's information practices, by understanding that information is intertwined in all kinds of everyday actions and interactions.

This article analyzes the challenges Finnish single mothers experienced in their everyday lives during the COVID-19 pandemic. In studies on challenges to family life during COVID-19 lockdowns, single-parent families remain a largely understudied group.

The authors apply triple bind theory and ask how did Finnish single mothers manage the interplay between inadequate resources, inadequate employment, and inadequate policies during lockdown in spring 2020? These data come from an online survey including both qualitative and quantitative questions which was conducted between April and May 2020 to gather Finnish families' experiences during lockdown. This analysis is based on the qualitative part of the survey.

This study's results show that lockdown created new inadequacies while also enhancing some old inadequacies in the lives of Finnish single mothers. During lockdown, single mothers faced policy- and resource-disappearances; accordingly, they lost their ability to do paid work normally. Furthermore, these disappearances endangered the well-being of some single mothers and their families.

This article contributes to the wider understanding of everyday lives of single mothers and the challenges COVID-19 pandemic created. Moreover, this study provides knowledge on the applicability of the triple bind theory when studying the everyday lives of single mothers.