Constantin Brâncuși University of Targu Jiu

Gender issues, and gender equality in particular, can be regarded as cross-cutting issues in the implementation of the Sustainable Development Goals (SDGs), even though it is unclear how they are taken into account. This study addresses this information gap by performing an assessment of the emphasis on gender issues across all the other 16 SDGs, in addition to SDG5, through a literature review and case study analysis, the basis for the newly developed framework, highlighting specific actions associated to each SDG. The 13 countries addressed in the 16 case studies include China, India, or Australia and illustrate the inclusion of SDG5 into the SDGs. Using an SDG matrix, the SDG targets are analysed. Those where an emphasis on gender equality is important in allowing them to be achieved are listed. The novelty of our approach resides in offering an in-depth analysis of how gender issues interact with the other SDGs, proposing a new analysis framework clearly identifying SDGs 1, 4, 11, 12, 14 and 16 demanding further attention for successful SD gender implementation and illustrating specific areas where further actions may be necessary, which may be used by policy-makers, raising further awareness on gender equality contribution to achieve the SDGs. A set of recommendations aimed at placing gender matters more centrally in the SDGs delivery are presented as a final contribution. These focus on the need for greater awareness and attention to good practices, to achieve successful implementation initiatives. Supplementary Information: The online version contains supplementary material available at 10.1007/s10668-022-02656-1.

The many observers estimate that in the world is at the beginning of a new industrial revolution, which it is considered the fourth revolution and it is called "Industry 4.0". The connecting many products to the internet, presence of sensors, wireless communications expansion, robot and intelligent machine development, real-time data analysis have the potential to turn the way the production is done. Connecting the physical world to the virtual world in cyber-physical systems it will have a disruptive impact on technologies, manufacturing processes and people.

The paper presents the results of a study concerning the use of the Ishikawa diagram in analyzing the causes that determine errors in the evaluation of theparts precision in the machine construction field. The studied problem was"errors in the evaluation of partsprecision" and this constitutes the head of the Ishikawa diagram skeleton.All the possible, main and secondary causes that could generate the studied problem were identified. The most known Ishikawa models are 4M, 5M, 6M, the initials being in order: materials, methods, man, machines, mother nature, measurement. The paper shows the potential causes of the studied problem, which were firstly grouped in three categories, as follows: causes that lead to errors in assessing the dimensional accuracy, causes that determine errors in the evaluation of shape and position abnormalities and causes for errors in roughness evaluation. We took into account the main components of parts precision in the machine construction field. For each of the three categories of causes there were distributed potential secondary causes on groups of M (man, methods, machines, materials, environment/ medio ambiente-sp.). We opted for a new model of Ishikawa diagram, resulting from the composition of three fish skeletons corresponding to the main categories of parts accuracy.

The controversies surrounding Bitcoin, one of the most frequently used and advertised cryptocurrency, are focused on identifying its qualities, the advantages and disadvantages of using it and, last but not least, its ability to survive over time and become a viable alternative to the traditional currency, taking into account the effects on the environment of the technology used to extract and trade it. Based on such considerations, this article aims to provide an overview of this cryptocurrency, from the perspective of conducting a systematic review of the literature dedicated to the economic and environmental impact of Bitcoin. Using peer-reviewed articles collected from academic databases, we aimed at synthesizing and critically evaluating the points of view in the scientific literature regarding the doctrinal source of the emergence of Bitcoin, the identity of this cryptocurrency from an economic point of view, following its implications on the economic and social environment. Subsequently, this research offers the opportunity of evaluating the level of knowledge considering the impact of Bitcoin mining process on the environment from the perspective of the energy consumption and CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> emissions, in order to finally analyze Bitcoin regulation and identify possible solutions to reduce the negative impact on the environment and beyond. The findings suggest that, despite high energy consumption and adverse environmental impact, Bitcoin continues to be an instrument used in the economic environment for a variety of purposes. Moreover, the trend of regulating it in various countries shows that the use of Bitcoin is beginning to gain some legitimacy, despite criticism against this cryptocurrency.

The purpose of the present paper is to provide an advanced overview of the practical applications of Banking 4.0 in Industry 4.0. This paper examines the technology trends in the Fourth Industrial Revolution and identifies the key indicators behind the creation of a strategic map for the fourth-generation banks and their readiness to enter Industry 4.0. This paper examines a systematic review of fully integrated Banking 4.0 and the application of the technologies of Industry 4.0 and illustrates a distinct pattern of integration of Banking 4.0 and Industry 4.0. One of the prominent features of this article is the performance of successful global banks in applying these technologies. The results showed that Banking 4.0 in Industry 4.0 is an integrative value creation system consisting of six design principles and 14 technology trends. The roadmap designed for banks to enter Industry 4.0 and how they work with industrial companies will be a key and important guide.

COVID-19 pandemic has disrupted the economies around the world and the economic fallout from preventive measures such as lockdown is enormous. It has massive repercussions for the sharing economy as well. This research paper empirically analyses the impact of lockdown restrictions on five major sectors of the sharing economy such as ride-hailing, accommodation, freelance work, entertainment and delivery services. To evaluate this impact, we employed the difference-in-difference estimation technique using the Google trends data for selected countries. Daily search data of 2019 and 2020 is reindexed to examine the change in search patterns that occurred after lockdown. The empirical results show that transportation and accommodation sectors are negatively impacted by COVID-19 related lockdown while the other sectors of the sharing economy such as freelance work, streaming services and online deliveries are seeing a surge in searches. The findings of this study provide vital insights into the economic disruptions caused by COVID-19 related lockdown. We have highlighted the sectors that are booming during pandemic thus the sharing economy platforms and government have opportunities to invest in these sectors to jump-start the economy. The recently unemployed gig workers can also be employed in these sectors to address the problem of unemployment.

This paper examines the tourism and the cultural revival. Cultural change is a recurrent concern in tourism studies. Host societies frequently remodel their culture following the creation of a tourist resort. But, that does not necessarily imply an acculturating process, since what actually takes place is pragmatic cultural production work in response to the touristic demands that offer consolidated economic alternatives and livelihood. Culture change has been a concern in tourism anthropology studies ever since this field of research established itself, particularly concerning the changes host societies undergo. But that does not necessarily imply the phenomenon is to be analyzed exclusively under the focus of the acculturation paradigm, since researchers often come across the production of new cultural elements of a traditional character among host populations in their attempt to occupy new spaces from which to address the world. in fact, that applies to various social situations where local actors seek to display certain lifestyles and cultural traits in order to draw attention to their ethnic, regional, or national features. Therefore, the object of study no longer focuses on the gradual loss of local and cultural (or ethnic) substance, but rather on the relative ethnicity triggered by and among translocal flows that may lead to the deliberate turnaround of different cultural aspects of the host populations. Based on those premises, this article deals with the investigation of a cultural change process, making use of the historic perspective that includes an analysis of the “strategies of cultural mobilization” activated by the social subjects that are constantly recreating themselves in the tourism areas.

Today, medical tourism is one of the fastest growing sectors of the tourism industry around the world. Medical tourism can contribute to the sustainable development and economic dynamism of countries. Therefore, in this study, we prioritize the world’s leading countries in medical tourism for Iranians. First, five main criteria and 20 sub-criteria were selected, which are the reasons for choosing a country as a medical tourism destination. In this paper a combined fuzzy SWARA-PROMETHEE approach was used to prioritize tourism destinations. The acronym PROMETHEE stands for Preference Ranking Organization Method for Enrichment Evaluation method and represents an useful MCDA (Multi-Criteria Decision Analysis) tool. On the other hand, SWARA acronym means Step-wise Weight Assessment Ratio Analysis. The criteria were weighted using the fuzzy SWARA approach. In the following, using the PROMETHEE approach, we prioritized eight countries as tourism destinations, then we identified criteria related to sustainability of medical tourism destinations and prioritized medical tourism destinations using these criteria as the contributions of this paper. The weights obtained for criteria “Abilities of skilled staff,” “Applied medical equipment,” “Marketing capability,” “Type of service provided,” and “Application of information and communications technology” were 0.176, 0.232, 0.108, 0.395, and 0.089, respectively. The results show that medical tourism destination priorities for Iranians are India (Phi = 0.1396), Malaysia (Phi = 0.1128), Panama (Phi = 0.0976), Mexico (Phi = 0.0790), Singapore (Phi = 0.0096), Taiwan (Phi = −0.0442), Brazil (Phi = −0.1747), and Costa Rica (Phi = −0.2196), respectively. Negative Phi values indicate below average performance of those countries and positive Phi values indicate above average performance of those criteria. The results indicate that countries with negative Phi values should be strengthened relative to the improvement of some criteria.

Purpose The purpose of this study is to test the interrelationships of green human resource management (GHRM), job embeddedness (JEM), green promotive voice behavior and green prohibitive voice behavior. It assesses JEM as a mediator of the link between GHRM and the aforesaid green voice behavioral consequences. Design/methodology/approach Data obtained from the employees of 11 restaurants in Northern Cyprus were used to gauge the said relationships via the partial least squares structural equation modeling. Findings GHRM boosts employees’ JEM. Employees high on JEM exhibit green promotive and prohibitive behaviors at elevated levels. JEM is the psychological mechanism relating GHRM to green work outcomes. Practical implications Restaurateurs should create an environment that enables employees to speak up and share their opinions on the problems and challenges concerning the environmental sustainability and green initiatives of the restaurant. In addition, they should develop and maintain good relations with employees via GHRM practices. These are important implications that would promote eco-friendly behaviors among employees. Originality/value This paper focuses on JEM, green promotive voice behavior and green prohibitive voice behavior as the neglected outcomes of GHRM. That is, there is no empirical evidence reporting that GHRM fosters employees’ JEM. This is also true for JEM as a mediator linking GHRM to the aforementioned dimensions of green voice behavior. With this stated in mind, this study fills in these gaps.

The goal of the paper is to examine the relation between finance and sustainability, with a special emphasis on the impact of negative externalities. Sustainable development as a concept aims to mitigate negative externalities. Conventional finance offers no room for the environment and society. Therefore, three-dimensional sustainable finance has appeared. This paper is the first original attempt to examine the relationship between: financial, economic, environmental and social development indicators from the sustainability perspective, with a special focus on externalities. To study the disparities between the European Union (EU) countries belonging to the OECD in the field of sustainable development and sustainable finance, the multi-criteria taxonomy was used. The basis of the analyses was the indicators transformed according to the relative taxonomy method. The database, based on Eurostat, contains indicators describing pillars of sustainable development such as: economic (12 indicators), social (28), environmental (7) and sustainable finance (16). The study analyses the sample of 23 countries in 2007, 2013 and 2016. The results confirm a positive relationship among the analysed indicators. On the basis of 62 statistical features selected according to the statistical methods, 7 groups of countries were obtained in 2007 and 2013 and 8 groups in 2016. In the case of Scandinavian countries, one can observe a permanent separation of economic growth from its negative impact on the natural environment. Such dependencies are no longer so obvious in the case of other EU countries belonging to the Organization for Economic Cooperation and Development (OECD). Therefore, attention should be paid to the most economically developed countries in Western Europe, i.e., Belgium, Germany, Luxembourg, the Netherlands and the United Kingdom, whose high rankings in the case of economic, social and very often also financial results correspond to much worse results in the case of environmental development.

BACKGROUND: Within the structure of the skeletal muscle, there are fascicles of muscular fibers that are made up of serially distributed contractile elements. These elements are controlled by the nervous system, control which results in obtaining the muscular strength required for movement and its control. This study presents the neuromuscular assessment using tensiomyography method (TMG). METHODS: We studied two groups of soccer junior players, group 1 (experimental group) and group 2 (control group), each containing 15 soccer players; we have considered two situations of muscle training: the combination between the isometric-concentric contraction for group 1 and the concentric contraction for group 2. TMG is the electrical stimulation of the muscle group and the recording of the muscle parameters resulting after the isometric contraction: time contraction (Tc) and displacement (Dm) at rectus femoris muscle (RF), pointing out two moments T1 and T2. RESULTS: Tc decreasing and the Dm increasing involve a good response following the muscle training. For group 1, the Tc evolution is 22.54 ms/22.45 ms (T1/T2) for the right RF and 22.65 ms/22.26 ms for the left RF, while for group 2 results in a Tc evolution of 24.33 ms/28.57 ms (T1/T2) for the right RF and 25.74 ms/28.61 ms for the left RF. Dm for group 1, results in a 6.57 mm/6.85 mm (T1/T2) for the right RF and 6.92 mm/7.06 mm for the left RF, while for group 2, the Dm evolution shows 7.45 mm/5.83 mm (T1/T) for the right RF and 7.41 mm/6.26 mm for the left RF. Also, the evaluation on motor test indicated better results on T2 for the experimental group. Summarizing the results of Student t-test, we found significant differences between the averages of the two groups in all parameters (p < 0.001), the experimental group registering better results than the control one. CONCLUSIONS: It is possible to develop muscle training which can be monitored through TMG.

Many investors in order to predict stock prices use various techniques like fundamental analysis and technical analysis and sometimes rely on the discussions provided by various stock market analysts. ARIMA is a part of time-series analysis under prediction algorithms, and this paper attempts to predict the share prices of selected pharmaceutical companies in India, listed under NIFTY100, using the ARIMA model. A sample size of 782 time-series observations from January 1, 2017 to December 31, 2019 for each selected pharmaceutical firm has been considered to frame the ARIMA model. ADF test is used to verify whether the data are stationary or not. For ARIMA model estimation, significant spikes in the correlogram of ACF and PACF have been observed, and many models have been framed taking different AR and MA terms for each selected company. After that, 5 best models have been selected, and necessary inculcation of various AR and MA terms has been made to adjust the models and choose the best adjusted ARIMA model for each firm based on Volatility, adjusted R-squared, and Akaike Information Criterion. The results could be used to analyze the stock prices and their prediction in-depth in future research efforts.

Sustainable economic development requires ensuring economic growth and development in terms of environmental protection by providing a bridge between sustainable economic growth, improvement in human health, social justice, employment and environmental protection. Our paper aims to study the situation of green jobs at the European Union level and the relationship between environment and employment, by analysing the link between employment and environmental policies. It highlights the main trends recorded at the European Union level in the field of employment policy to promote green jobs for sustainable economic development. Although there is little effect from environmental policies on employment, the effects are positive, which shows that the relationship between environmental and employment policy should be continued and improved by measures taken at both the macro- and microeconomic levels.

Abstract Clinical and experimental studies indicate that muscarinic acetylcholine receptors are potential pharmacological targets for the treatment of neurological diseases. Although these receptors have been described in human, bovine and rat cerebral microvascular tissue, a subtype functional characterization in mouse brain endothelium is lacking. Here, we show that all muscarinic acetylcholine receptors (M 1 -M 5 ) are expressed in mouse brain microvascular endothelial cells. The mRNA expression of M 2 , M 3 , and M 5 correlates with their respective protein abundance, but a mismatch exists for M 1 and M 4 mRNA versus protein levels. Acetylcholine activates calcium transients in brain endothelium via muscarinic, but not nicotinic, receptors. Moreover, although M 1 and M 3 are the most abundant receptors, only a small fraction of M 1 is present in the plasma membrane and functions in ACh-induced Ca 2+ signaling. Bioinformatic analyses performed on eukaryotic muscarinic receptors demonstrate a high degree of conservation of the orthosteric binding site and a great variability of the allosteric site. In line with previous studies, this result indicates muscarinic acetylcholine receptors as potential pharmacological targets in future translational studies. We argue that research on drug development should especially focus on the allosteric binding sites of the M 1 and M 3 receptors.

Purpose This paper aims to emphasize how economics courses offered at higher education institutions can influence sustainable development, in general, and Romania’s sustainable development, in particular. Design/methodology/approach The conclusions are based on a pilot questionnaire conducted by the authors on the level of Romanian students enrolled in public and private economic faculties. The results were based on a sample of 1,250 respondents – students, master and PhD – from the economic faculties of some prestigious Romanian universities. To identify differences between some groups, t -test analysis and ANOVA were conducted. Findings Education is an important pillar for ensuring sustainable development because through education, people understand and learn how to become more responsible toward the environment. Studies conducted in the twenty-first century are showing a direct link between the investment in education and economic, social and human development. The present study revealed that the economic higher education system in Romania has started with small steps to adapt to the environmental requirements. Unfortunately, the efforts still required to be made are significant, since it is observed that all undergraduate, postgraduate and PhD require a change of attitude and mentality. Romanian public universities are more involved than private universities in the implementation of programs, projects, debates and courses on sustainable development and students’ reactions are positive. Originality/value This paper provides useful insights, allowing a better understanding of the role of universities in fostering sustainable development. This research is useful to find solutions for developing education for sustainable development in Romania and it can be a starting point for ESD programs and policies.

Genomic analysis of human cancers indicates that the loss or mutation of core autophagy related genes, (ATG) is uncommon, whereas oncogenic events that activate autophagy and lysosomal biogenesis have been identified. Several studies have demonstrated that autophagy plays a wide variety of physiological and pathophysiological roles in cells: a cellular process that maintains the homeostasis of the normal cell, while self-defects can lead to a lawsuit to accelerate tumorigenesis and developing diseases, such as cancer. Depending on different contexts, autophagy dysfunctions may play a role: neutral, tumor-suppressive, or tumor-promoting. The process of autophagy may function in tumor suppression by mitigating metabolic stress and, in concert with apoptosis, by preventing tumor cell death by necrosis. In this case, optimal combination of autophagy inhibition (CQ, HCQ) with other conventional therapies - chemo or radiotherapy in a variety of tumor types in different phases can be successful approaches for improve the effect of anticancer therapies. This review examines recent insights of the molecular mechanism of autophagy and the potential roles of autophagy in cell death, cancer development, overview of the most recent therapeutic strategies involving autophagy modulators in cancer prevention and therapeutic opportunities.

Ejector refrigeration is one of the most promising technologies because of its relative simplicity and low initial cost. In this work, a theoretical study has been carried out to assess system and refrigeration efficiencies of a solar-assisted ejector cycle using water as the operating fluid. The model was based on a 1D ejector approach, including both the refrigeration and solar collector cycles. Ejector performance was evaluated for different operating conditions. The results indicated that in order to achieve an acceptable coefficient of performance, generator temperatures should not fall below 90°C. Evaporator temperatures below 10°C and condenser temperatures over 35°C resulted in a significant drop in system efficiency, and therefore these conditions can be identified as minimal (reference) design values. The required solar collector area to provide 5 kW of cooling power was calculated for different operating conditions. Ejector dimensions were also calculated using the constant pressure mixing ejector theory.

The fintech segment is currently one of the most rapidly growing industries, attracting numerous investors who anticipate substantial returns in the future. Notably, not only individual retail investors but also mutual fund agencies are actively engaged in predicting stock prices within this sector to maximize their trading gains. The purpose of the study is to formulate stock forecasting models for top three Fintech Companies of India i.e., Policy Bazar, One 97 Communications Paytm Ltd., and Niyogin Ltd. Using Random Forest model with high-frequency data in Python. The literature review section also proves that this study is a novel piece of work as none of the existing research study focused on predicting stock prices of Fintech Companies of India using Random Forest model. The data is extracted from www.moneycontrol.com and www.kotaksecurities.com, for the period from 1st October, 2022 to 30th September, 2023. The study deals about 293,280 data points i.e., 3 companies @ 97,760 each. It has been found that the forecasting model of random forest provides very successful results for prediction as the co-efficient of determination of all the selected companies is more than 95%.

The main aim of this paper is to investigate volatility spillover effects, the impact of past volatility on present market movements, the reaction to positive and negative news, among selected financial markets. The sample stock markets are geographically dispersed on different continents, respectively North America, Europe and Asia. We also investigate whether selected emerging stock markets capture the volatility patterns of developed stock markets located in the same region. The empirical analysis is focused on seven developed stock market indices, i.e. IBEX35 (Spain), DJIA (USA), FTSE100 (UK), TSX Composite (Canada), NIKKEI225 (Japan), DAX (Germany), CAC40 (France) and five emerging stock market indices, i.e. BET (Romania), WIG20 (Poland), BSE (India), SSE Composite (China) and BUX (Hungary) from January 2000 to June 2018. The econometric framework includes symmetric and asymmetric GARCH models i.e. EGARCH and GJR which are performed in order to capture asymmetric volatility clustering, interdependence, correlations, financial integration and leptokurtosis. Symmetric and asymmetric GARCH models revealed that all selected financial markets are highly volatile, including the presence of leverage effect. The stock markets in Hungary, USA, Germany, India and Canada exhibit high positive volatility after global financial crisis.

The refusal to be inoculated with the anti-COVID-19 vaccine by a part of the Romanian population becomes a barrier against controlling and stopping this particularly infectious virus. The rapid evolution of COVID-19 vaccines has created confusion regarding health and safety. Many Romanian citizens refuse vaccination because of fears generated by uncertainties based on information obtained from fake news. At the present moment, January 2022, Romania has one of the lowest vaccination rates in the European Union, below 45% of the total population. In our study, we want to identify the determining factors behind the refusal of vaccination, offering a sociological analysis that, we hope, will help to understand this phenomenon. The analysis revealed that 81% of the respondents trust the mandatory vaccines under the national scheme and 57.3% trust the optional ones other than the anti-COVID-19 vaccines (like Rotavirus, Hepatitis A and B, Influenza, Meningococcal, Pneumococcal, etc.) and have less confidence in the anti-COVID-19 vaccines. The study also reveals a very high percentage of respondents who trust fake news claims.