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This paper sets out to show the feasibility of the genetic algorithm inverse method for the determination of the parameters of crystallization kinetics laws in isothermal and non‐isothermal conditions, using multiple experiments.

The mathematical model for crystallization kinetics determination and the numerical methods of its resolution are introduced. Crystallization kinetic parameters determined by approximate physical analysis and the inverse genetic algorithm method are presented. Injection molding simulations taking into account crystallization are performed using the finite element method.

It is necessary to perform the optimization on two parameters, transformed volume fraction and number of spherulites to obtain correct results. It is possible to use results from different samples, in spite of the dispersion of some values.

Experimental data for isothermal and non‐isothermal conditions were used and obtained good results for the parameters of crystallization kinetics laws from which the evolutions of overall crystallization kinetics and crystalline microstructure were deduced. Nevertheless, the dispersion of the experimental data concerning the number of spherulites obtained with different samples is important. The evolution of the number of spherulites is required for the optimization to get correct results.

An important result of this work is that the genetic algorithm optimization can be applied to this problem where the experiments cannot be performed with a single sample and the experimental data for the number of spherulites have low precision. Even if only the crystallization kinetics was considered, the feasibility in molding simulation has been shown.

Simulation of crystallization in injection molding is very important for a later prediction of the end‐use properties.

This study aims to highlight the growth and development of Indo-German collaborative research over the past three decades. Moreover, this study encompasses an in-depth examination of funding acknowledgements to gain valuable insights into the financial support that underpins these collaborative endeavours. Together with this paper, the authors provide an openly accessible data set of Indo-German research papers for further and reproducible research activities (the “Indo-German Literature Dataset”).

The data were retrieved from the Web of Science (WoS) database from the year 1990 till the 30th of November 2022. A total of 36,999 records were retrieved against the used query. Acknowledged entities were extracted using a named entity recognition (NER) model specifically trained for this task. Interrelations between the extracted entities and scientific domains, lengths of acknowledgement texts, number of authors and affiliations, number of citations and gender of the first author, as well as collaboration patterns between Indian and German funders were examined.

The study reveals a consistent and increasing growth in the publication trend over the years. The study brings to light that Physics, Chemistry, Materials Science, Astronomy and Astrophysics and Engineering prominently dominate the Indo-German collaborative research. The USA, followed by England and France, are the most active collaborators in Indian and German research. Largely, research was funded by major German and Indian funding agencies, international corporations and German and American universities. Associations between the first author’s gender and acknowledged entity were observed. Additionally, relations between entity, entity type and scientific domain were discovered.

The study paves the way for enhanced collaboration, optimized resource utilization and societal advantages by offering a profound comprehension of the intricacies inherent in research partnerships between India and Germany. Implementation of the insights gleaned from this study holds the promise of cultivating a more resilient and influential collaborative research ecosystem between the two nations.

The study highlights a deeper understanding of the composition of the Indo-German collaborative research landscape of the past 30 years and its significance in advancing scientific knowledge and fostering international partnerships. Furthermore, the authors provide an open version of the original WoS data set. The Indo-German Literature Data set consists of 22,844 papers from OpenAlex and is available for related studies like literature studies and scientometrics.

Governance can often be assessed as one part of directing companies’ action toward something better. This study examines how governance quality at the country level and firm level can affect sustainability performance that aligns with sustainable development goals (SDG). Prior academic literature explains that if a country has a low institutional condition, it is a great challenge to implement sustainability. However, the internal awareness of the company to implement sustainability plays an important role as well. To examine the research question, this study uses the banking sector as a research sample with an observation period from 2017 to 2019. Prior literature overlooks research in the banking sector and does not feature country-level governance with firm-level governance. The data were collected either from the annual report or sustainability report, which comprises 141 companies, with the total observation of 423 firm-year. This study used panel data regression analysis and was based on the Hausman Test; it shows that random effect is used to test the hypothesis. This research finds that good quality governance at the country level, results in good sustainability performance. However, contrary to expectations regarding the quality of firm-level governance, which is thought to be positively related to sustainability performance, this study found a negative relationship. The argument that might answer the finding is the existence of governance conditions at the state level and at the firm level that mutually subsidize each other. This research contributes to policymakers continuing to provide counseling and improve institutional conditions to motivate companies to support the achievement of the SDGs. Companies should also pay attention to the effectiveness of their internal governance and strive to use stakeholder opinions as a guide in the realization of SDGs.

This chapter provides comments and suggestions to the lawmaker, and especially to economic policy-makers in the field of the optimal regulatory framework and implementation of sustainable practices. The main findings are as follows: (1) degradation of the rule of law in several European Union (EU) Member States and constant political undermining of the legal institutions represent the main threat for the implementation of sustainable practices and development; (2) the golden regulatory rule of thumb provides that regulatory intervention is suggested merely in cases of market failures under the condition that the costs of such intervention do not exceed the benefits; (3) over-regulation might impede implementation of sustainable practices, distort the operation of the market, undermine productivity, diminish growth and social wealth and consequently also sustainability; (4) efficiency and wealth maximization should be the lawmaker’s leading normative principle in designing the legal framework that will enable effective implementation of sustainable practices; (5) the efficient level of harmonization or subsidiarity of decision-making in the EU urges for a rigorous investigation of costs and benefits of the EU top-down harmonization policies which should lead to a better, efficient vertical allocation of sustainability agenda between EU and the Member States; and (6) The Reflection Paper on Sustainable Development Goals – “Towards a Sustainable Europe in 2030” – represents an effective institutional framework in pursue of the overall sustainability targets.

This chapter explores collective information processing among black-hat hackers during their crises events. The chapter presents a preliminary study on one of Tor-based darknet market forums, during the shutdowns of two cryptomarkets. Content and network analysis of forum conversations showed that black-hat users mostly engaged with rational information processing and were adept at reaching collective solutions by sharing security advices, new market information, and alternative routes for economic activities. At the same time, the study also found that anti-social and distrustful interactions were aggravated during the marketplace shutdowns. Communication network analysis showed that not all members were affected by the crisis events, alluding to a fragmented network structure of black-hat markets. The chapter concludes that, while darknet forums may constitute resilient, solution-oriented users, market crises potentially make the community vulnerable by engendering internal distrust.

Russia is one of the fastest growing emerging economies and large Russian companies, mainly resource exporters, have entered the global markets in recent years. The internationalization process of Russian enterprises and its implications on foreign direct investment paradigms have attracted global interest. This paper studies the effect of internationalization on the performance of large Russian companies (state‐owned, privatized and de‐novo). The results show that international operations have a significant effect on company performance indicators. Companies with international operations have significantly higher profitability and labor productivity. However, profitability or labor productivity is not significantly higher in the early years of trade liberalization. The positive effects grow gradually with the integration of Russian companies to world markets. Specifically, the expansion of the de‐novo private sector has been strong.

This paper aims to shed light into money laundering using bitcoin. Digital payment methods are increasingly used by criminals to launder money obtained through cybercrime. As many forms of cybercrime are motivated by profit, a solid cash-out strategy is required to ensure that crime proceeds end up with the criminals themselves without an incriminating money trail. The authors examine how cybercrime proceeds can be laundered using services that are offered on the Dark Web.

Focusing on service-percentages and reputation-mechanisms in underground bitcoin laundering services, this paper presents the results of a cash-out experiment in which five mixing and five exchange services are included.

Some of the examined services provide an excellent, professional and well-reviewed service at competitive cost. Whereas others turned out to be scams, accepting bitcoin but returning nothing in return.

The authors discuss what these findings mean to law enforcement, and how bitcoin laundering chains could be disrupted.

These cash-out strategies are increasingly facilitated by cryptocurrencies, mainly bitcoin. Bitcoins are already relatively anonymous, but with the rise of specialised bitcoin money laundering services on the Dark Web, laundering money in the form of bitcoins becomes available to a wider audience.

The objective of this paper is to explore the development of the Blackmail-as-a-Service business model within the Digital Thrift Shop. This service model involves the sale of doxing files to customers, as well as the removal of the content from the shop and its dissemination to victims or individuals closely connected to them.

To access the Digital Thrift shop, this study relies on the Tor browser and a darknet indexing site. The authors then use an application to collect and store the web pages as PDFs. Finally, content analysis is performed on these PDFs to understand the Blackmail-as-a-Service business model developed by the Digital Thrift.

The doxing data available on the Digital Thrift is primarily targeted toward women. Digital Thrift has also established a way to value the purchase, sale and the removal of blackmail data. The presence of Blackmail-as-a-Service on darknet sites poses unique challenges for criminal justice agencies in terms of jurisdiction, due to the lack of harmonized laws and the obstacles involved in taking down content from darknet sites. Finally, the use of a service model for blackmail allows criminals without technical skills to engage in cyber-victimization using blackmail.

Research into Blackmail-as-a-Service from boutique providers has not been conducted. To the best of the authors’ knowledge, this is one of the first study seeking to understand the Blackmail-as-a-Service business model on the darknet when used to target adults. This study presents evidence of a lack of connection between the buyers of the compromising material and the potential victim, challenging preconceived notions about image-based sexual abuse and its connection to individuals involved in interpersonal relationships.