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From past to present, Istanbul has witnessed many empires and historical events. This accumulation has made Istanbul one of the most important cities in Turkey. The architecture and historic potential of the city dates back to centuries ago. Palace architecture is the most important cultural inventories of the city. Over time, technological developments and the industrial revolution brought the “western influence” to Turkey. This effect is observed on planning character and on the planting design. The main material of the work is Topkapı Palace, Beylerbeyi Palace and Dolmabahçe Palace. In this context, this paper consist of three stages. Literature studies have been carried out in the first stage. “Western effect” on the palaces has been investigated after the second step consisting of the field study and mapping. As result of the examinations, western influence was studied in three stages as general planning character, structural material and plant material. As a result of the study, results were obtained for each title. Suggestions were made for rehabilitation and palace gardens planning.

Today, changing business systems, especially the COVID-19 epidemic, and the rapid development of technology have brought the phenomenon of spirituality to a new point. Cyber spirituality and dataism are also starting to become the focus of attention in this field. This situation also affects the issue of spirituality in the workplace. While the subject of spirituality in the workplace keeps up with innovations and expands in the literature, the relationship between religion and spirituality continues to be discussed and examined. For this reason, this study aims primarily to explain the relationship between the concept of religion and spirituality. In light of current developments, it is to mention the place of spirituality in the workplace between these two concepts.

Gynecological cancers are preventable and treatable diseases in case of early diagnosis. However, lack of knowledge is one of the factors preventing women from benefiting from early diagnosis. Increasing women's knowledge of gynecological cancers contributes to improving the health of both women and the community. The purpose of this research study was to determine the affecting factors and knowledge level of Turkish women-related gynecological cancer prevention.

This was a cross-sectional descriptive study and was carried out at a state hospital's outpatient clinic between May and June 2019. The sampling included 496 women who are not diagnosed with gynecological cancer in the individual or in the family. Data were collected using the personal information form and Gynecological Cancer Prevention Information Scale (GCPIS). Data were evaluated using the SPSS 22.0 software program. Frequencies, mean and standard deviation were used for the descriptive variables. For the data that met the parametric conditions, those with two groups were analyzed using independent samples t-tests and those with more than two groups were analyzed using F-test.

In this study, the GCPIS total mean score of women was found 16.22 ± 8.21 (min: 0, max: 35). A statistically significant difference was found between the women's level of knowledge according to the age group of the participants, education level, economic status perception, regular pap-smear test, regular vulva examination and getting information about prevention from gynecologic cancers (p < 0.05).

This study was conducted on a group of Turkish women and cannot be generalized to other cultures.

This study can be beneficial for determining the Turkish women's knowledge levels about gynecological cancers of women and for providing data for health education programs planning to be created.

The data of this study can be used to improve women's knowledge and examination skills of gynecological cancers. Thus, the quality of life of women can be improved.

Healthcare professionals can play vital roles in presenting needed knowledge about gynecological cancers and raising awareness in women. It is extremely important for women to be informed about gynecological cancers for prevention of gynecological cancers and health improvement.

Since the first periods of humanity, the reflections of emerging cultures have created the living texture and architecture. The continuing accumulations from older periods transfer a history by layering at certain environments. While these environments which appear as the evidence of development and advancement present the artifacts of previous generations; they create a common language by creating a link between past, today and present. The necessity for protection and transfer of architecture which is the physical reflection of this accumulation, history and culture continuing through ages to the future generations is a clear fact. Preventing the disappearance of historical buildings which show the difference of a geography, country or city from others and create its identity is an important issue for sustainable architecture. When sustainability unites with history and tourism, it can achieve the protection, development and transfer of natural and cultural resources from one generation to the other. For this reason, in the scope of this study, Camii Cedid/St Eugenios Church (Yeni Cuma Mosque) transformed into a mosque after the conquest of the city of Trabzon, which has an important historical texture within its geography, will be examined in terms of the sustainable development it created in the region and the changes it went through

The proposed hybridized framework provides a new performance optimization-based paradigm for analysing the failure behaviour of paneer unit (PU) in the dairy industry.

A novel fuzzy Jaya-based Lambda–Tau Optimization (JBLTO) approach-based mathematical modelling was developed for calculating various reliability indices of the considered unit. Failure mode and effect analysis (FMEA) was carried using qualitative information gathered from system's expert opinions. Fuzzy-complex proportional assessment (FCOPRAS) approach was integrated within FMEA to recognize the most critical failure causes associated with various subsystem/components.

The availability of the unit falls by 0.053% as the uncertainty level increases from ±15 to ±25% and further decreases to 0.323% as the uncertainty level increases from ±25 to ±60%. Failure causes, namely wearing in gears of gearbox (MST4), an impeller's cavitation and/or corrosion (CFP4), winding failure of electric motor (WS9), were recognized as the most critical failure causes with FCOPRAS final performance scores of 100, 100 and 100 and fuzzy combinative distance-based assessment (FCODAS) resultant assessment score of 0.5997, 1.1898 and 1.6135.

JBLTO approach-based reliability results were compared with traditional particle swarm optimization-based Lambda–Tau (PSOBLT) and traditional fuzzy Lambda–Tau (FLT) approaches for confirming the downward trend in the system's availability. The ranking results of qualitative analysis are compared with the implementation of FCODAS technique. Sensitivity analysis was executed to evaluate the robustness of the proposed hybridized framework.

Industry 4.0 (I4.0) not only turns traditional industrial activities upside down but also demonstrates its potential to enhance industrial competitiveness and productivity. In this context, technological advancement and I4.0 is a strategy to be pursued. This study aims to consider different I4.0 technologies by analysing Indian small and medium enterprises (SMEs).

Key factors and promising I4.0 technologies were selected using literature analysis and experts’ panel. The appropriate I4.0 technology for Indian SMEs is recommended using the fuzzy complex proportional assessment (COPRAS) method.

Results reveal that ability to expand IT infrastructure, change in the organization’s structure and the capacity to analyse key performance indicators as three crucial key factors in I4.0 implementation. In particular, the smart factory is identified as a better I4.0 for Indian SMEs.

This work has analysed Indian SMEs, but it is appropriate for other developing economies with limited technical resources, financial resources and inadequate skill sets. This work identifies a gap in the current literature, and the findings proposed by this work are oriented to assist decision makers, industrial managers and practitioners in selecting I4.0 technology and enhancing the industrial infrastructure. At the same time, cooperation between the government and industrial community is required to develop programmes for imparting the knowledge of I4.0 among SMEs. The framework used in this study will arm the industrial management in adopting I4.0.

The study aims to identify the extent to which industry 4.0 (IR4.0) adoption impacts the sustainable manufacturing (SM) performance of the manufacturing industry, focusing on the comparative analysis between developed and developing economies amid coronavirus disease 2019 (COVID-19) pandemic.

The study proposes a conceptual model formed on seminal theories and literature using the cross-sectional design. For data collection, a purposive sampling method is used where 154 Malaysian (developing) and Australian (developed) manufacturing firms' data were collected. Partial least square-based structural equation modeling is employed to test the hypothesis and proposed research model.

This study finds that adoption of IR4.0 technologies does not directly influence the sustainability performance of the manufacturing industry, but rather the trajectories of SM (efficiency, flexibility, automation and big data and granularity) fully mediate the relationship between IR4.0 adoption and sustainability manufacturing performance. The comparative analysis between Australia and Malaysia shows no significant difference in the relationships or the framework; hence, the differences between developed and developing countries are not significant in this mechanism.

The study contributes to the insights of the managers regarding COVID-19 and the implementation of IR4.0 in the SM domain. The policymakers would further get better insights since the study pays attention to sustainable development goal, industry, innovation, infrastructure and responsible production.

Key success factors (KSFs) of total productive maintenance (TPM) have historically played a vital role in attaining economic and ecological sustainability but have overlooked social sustainability. Hence, this study analyses and ranks the most significant TPM KSFs for attaining social sustainability in manufacturing small and medium enterprises (SMEs).

The research employs a deductive methodology to identify the relevant TPM KSFs and social sustainability indicators and then uses Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to rank the TPM KSFs in order to achieve social sustainability, followed by a sensitivity analysis to assess the methodological robustness.

The findings indicate that the top five TPM KSFs influencing social sustainability are employee health and safety, organizational culture, top management commitment, employee engagement and effective communication and effective workplace management. In addition, the results indicate that effective equipment utilization is the least significant TPM key factor affecting social sustainability.

SME manufacturing managers do not need to worry about all of the TPM KSFs if they only concentrate on the ones that will have the most impact. If managers use the top 5 TPM KSFs as a starting point, they may create customized TPM training programs for their companies. As a result, this will facilitate the efforts of their personnel toward social sustainability.

In the existing literature, little emphasis has been paid to social sustainability and how SMEs may implement these practices. This research adds to the current theory of TPM and social sustainability and sheds light on how SMEs might use TPM to advance toward more socially sustainable operations.

This study aimed to design a user-participatory methodology to investigate the post-occupancy sustainability of reused historical buildings and to apply it to a case study.

This study was designed in four stages. In the first stage, the sustainability parameters and sub-parameters were determined in the reused historical buildings based on the literature. The second stage included a field study in which the current situation of the study area was analysed, and the users were reached using the survey technique. In the third stage, the data obtained from the user participation were analysed with importance performance analysis (IPA) and an IPA matrix was created. The fourth stage included an evaluation of the results of the analysis and the development of recommendations.

IPA is a supportive method for ensuring the sustainable use of historic buildings. According to the data obtained from the IPA, it was seen that the functional sustainability of the building was achieved to a great extent. At the same time, there were deficiencies in technical and environmental sustainability. In terms of aesthetic sustainability, it was observed that the importance and performance values given by the users were generally consistent with each other.

The originality of this study is that the performance of the reused historical buildings in the process of use was monitored with appropriate parameters, and a user-participated method was proposed that allows improvement suggestions to be developed in line with the results obtained.

This study aims to identify the relationship between different maintenance practices and productive efficiency in continuous process productive plants as well as the moderating effect of good training practices.

The empirical data were drawn from a database containing 609 observations of 29 productive units. Scales were validated using the Q-sort method. The panel data technique was used as the analysis methodology, with the inclusion of fixed effects for each productive plant.

Maintenance practices can effectively contribute to increasing the overall equipment effectiveness (OEE) of firms. Application of predictive maintenance practices should be considered as the primary training tool.

This study used a secondary database, limiting the research design and data manipulation.

The article provides practitioners with an analysis of maintenance practices by category (predictive, preventive and corrective), and the impact of each practice on the OEE of continuous process productive plants. Moreover, it explores the importance of training for extracting more results from maintenance practices.

Companies are investing in new technologies, but it is also essential to invest in training people. There is a demand for Industry 4.0 through the introduction of upskilling and reskilling programs.

This study used practice-based view (PBV) theory to explain how maintenance practices help firms achieve greater OEE. Furthermore, it introduced training practice as a moderating variable in the relationship between maintenance practices and OEE.