Has the CJEU Made the First Step to Put a Stop to the Criminalisation of Migration? Commentary to the Judgement in the Case of JZ in the Context of the COVID-19 Pandemic

The paper presents a critical discussion of the CJEU judgment in the JZ case (C 806/18), in which the Court interpreted Article 11 of Directive 2008/115 that regulates entry ban issuance. The author asks a question of whether an entry ban as a measure limiting the right to free movement has a moral and legal ground in international law and EU law. Moreover, the author focuses on the problem of the criminalisation of irregular migration – both in the context of the established line of the Court’s case law and in the case of a vague national law standard that penalizes illegal stays – the possibility to apply the criminal law concept of error in law and thus exclusion of criminal liability of an illegal migrant.

Inventory management in reverse logistics with imperfect production, learning, lost sales, subassemblies, and price/quality considerations

Reverse Logistics is the flow and management of products, packaging, components, and information from the point of consumption (i.e., the market) to the point of origin (i.e., manufacturers and suppliers). It is a collection of practices similar to those of supply chain management, but in the opposite direction, from downstream to upstream. Reverse logistics is a valuable solution to the hazards jeopardizing the environment, and it involves activities such as reuse, repair, remanufacture, refurbish, reclaim and recycle.Reverse logistics became an established line of research, covering several areas, including inventory control; though, several research gaps still exist, such as: ignoring switching costs between production and remanufacturing processes and learning effects, the assumption that production and remanufacturing processes are of perfect quality, remanufactured products are assumed to be as-good-as new, the assumption that returned products are treated as whole products while ignoring disassembly, collection rate of used items is independent of price and quality, and the assumption that pure remanufacturing and production policies are optimal. These research gaps are addressed in mathematical models to bring reverse logistics optimization closer to reality. Deterministic and stochastic components are considered here with numerical examples and results discussed. The key conclusions are as follows:The inclusion of the first time interval where no remanufacturing/repair exists, results in preventing the overestimation of inventory holding costs in the repairable stock. Assuming production and remanufacturing processes to be perfect, or ignoring learning effects in these processes, might not capture the benefits that product recovery programs are supposed to bring. Although works in the literature assumed pure remanufacturing is mathematically attainable but not feasible, this study shows that the pure remanufacturing case is not valid mathematically, which proves it to be infeasible. It is favourable to compensate customers to settle for remanufactured products instead of new ones. Considering disassembly of returns in the modelling of reverse logistics is proven beneficial. Finally, mixed production and remanufacturing policies are optimal rather than pure ones; and the inclusion of price and quality to determine return and collection rates is crucial.

Inventory management in reverse logistics with imperfect production, learning, lost sales, subassemblies, and price/quality considerations

Reverse Logistics is the flow and management of products, packaging, components, and information from the point of consumption (i.e., the market) to the point of origin (i.e., manufacturers and suppliers). It is a collection of practices similar to those of supply chain management, but in the opposite direction, from downstream to upstream. Reverse logistics is a valuable solution to the hazards jeopardizing the environment, and it involves activities such as reuse, repair, remanufacture, refurbish, reclaim and recycle.Reverse logistics became an established line of research, covering several areas, including inventory control; though, several research gaps still exist, such as: ignoring switching costs between production and remanufacturing processes and learning effects, the assumption that production and remanufacturing processes are of perfect quality, remanufactured products are assumed to be as-good-as new, the assumption that returned products are treated as whole products while ignoring disassembly, collection rate of used items is independent of price and quality, and the assumption that pure remanufacturing and production policies are optimal. These research gaps are addressed in mathematical models to bring reverse logistics optimization closer to reality. Deterministic and stochastic components are considered here with numerical examples and results discussed. The key conclusions are as follows:The inclusion of the first time interval where no remanufacturing/repair exists, results in preventing the overestimation of inventory holding costs in the repairable stock. Assuming production and remanufacturing processes to be perfect, or ignoring learning effects in these processes, might not capture the benefits that product recovery programs are supposed to bring. Although works in the literature assumed pure remanufacturing is mathematically attainable but not feasible, this study shows that the pure remanufacturing case is not valid mathematically, which proves it to be infeasible. It is favourable to compensate customers to settle for remanufactured products instead of new ones. Considering disassembly of returns in the modelling of reverse logistics is proven beneficial. Finally, mixed production and remanufacturing policies are optimal rather than pure ones; and the inclusion of price and quality to determine return and collection rates is crucial.

Projection of E-Learning in Higher Education: A Study of Its Scientific Production in Web of Science

E-learning is conceived as a purely virtual training approach. Different learning styles have been proliferated in recent years, especially now, due to the impact of COVID-19 in the educational field. The aim of this study is to discover the evolution of e-learning in higher education (ELHI) in scientific literature indexed on the Web of Science. Co-word analysis and bibliometric analysis was performed. A total matrix of 1261 documents was analyzed through SciMAT software. The results revealed that studies on ELHI are written in English and presented by conference papers. The main source of publication for the conferences is EDULEARN proceedings, while the journal source is Procedia-Social and Behavioral Sciences. Spain is the country with the highest volume of production. It is concluded that research on ELHI use does not have an established line of research, due to its recent creation and the lack of related research. The bibliometric analysis specifies that the research is oriented towards knowing the level of acceptance and application of the pedagogical method in the teaching and learning processes.

Playing (the Casino) Indian: Native American Roles in Peak TV

The current television era, sometimes called “Peak TV,” was ushered in with serious creatordriven shows of the late 1990s. The increasingly frequent Indian character type of the manipulative, money-hungry, and usually criminal casino “chief”/CEO simultaneously offers dramatically significant guest-star roles for Native actors and reflects a neoliberal version of the Noble Savage fit for twenty-first century audiences. This article analyzes examples of the “casino Indian: characterization found in the award-winning television dramas The Sopranos, Big Love, The Killing and House of Cards. Adapting the figure of the imagined “Indian” to suit the anxieties of our political and economic moment, each of these critically acclaimed shows have created an image of “Indianness” in relation to “casinos” and thereby have added the casino Indian trope to the long-established line of “Indian” characters crafted by non-Native “experts,” writers, and artists of the stage and screen.

Acute Promyelocytic Leukemia: 37 Years Long Ongoing Survival in a de novo Patient with Metal-Based Ayurvedic Treatment

Acute promyelocytic leukemia (APML) is a subtype of acute myeloid leukemia. The condition is clinically marked by anemia, fatigue, weakness, frequent infections, and fever associated with easy bleeding and coagulopathy. The diagnosis is made through bone marrow aspiration exhibiting increased promyelocytes and test for PML-RARα fusion gene. There has been remarkable progress in the treatment of APML in the past few decades with the induction of all-trans retinoic acid (ATRA) and arsenic trioxide (ATO). This has also brought down mortality and relapse rates considerably. Similarly, nearly 90% patients are able to live disease free for about 10 years. However, there are certain hindrances to these treatments majorly due to side effects, relapses, and limited periods of remission associated with ATRA and ATO. Here, a freshly diagnosed case of APML is being reported. The patient was diagnosed in leading medical centers of Aligarh and New Delhi and only treated with blood transfusions in the absence of an established line of treatment in 1982. The patient has completed 37 years long survival without any sign of the disease and any adverse effect. This approach could be considered as an add-on medical therapy for APML.

The Term Equity in Education: A Literature Review with Scientific Mapping in Web of Science

The term “equity” (EQUI) is a complex concept to be defined, because it depends on many factors, mainly political ideals. The objective of this research is to determine the evolution and development of the term equity in education by the scientific community. The main objective is to identify the scientific production and performance of the term equity in the field of education. The research method developed is based on bibliometrics, specifically on the technique of scientific mapping, and a process of quantification, analysis, evaluation and estimation of scientific documents was developed. The results indicate there is no established line of research or strong connections between the themes. This shows the existing variety of research on the term equity. Thus, the trend in research on the term equity is focused on the early periods of study on the students’ diversity in order to evolve to more concrete and specific aspects of equity, such as gender and race. It is concluded that the theoretical framework of reference shows how equity should be incorporated into the education system under the parameters of equal opportunities, of equality in access to higher education, regardless of gender or socio-cultural background.

Anti-social security

Gavin Smith’s (2014) Intellectuals and (Counter-) Politics is a tour de force. It calls for anthropology to attend more carefully to the history of moves by the dominant capitalist blocs to enhance the conditions for their own reproduction and to the ways in which different subordinated and subaltern groups respond to these moves. This is, of course, a well-established line of inquiry. Yet, in Intellectuals, Smith breathes new life into an intellectual project that has been sidelined in recent years, as other preoccupations take hold in the discipline of anthropology and beyond. Smith rethinks what is meant by realist history, arming a new generation of insurgent scholars, readers, and activists, inside and outside the academy with a new set of intellectual priorities. The book thus exemplifies the best kind of politicized writing in anthropology and in other disciplines.

Aircraft Pose Estimation Based on Geometry Structure Features and Line Correspondences

A robust and accurate aircraft pose estimation method is proposed in this paper. The aircraft pose reflects the flight status of the aircraft and accurate pose measurement is of great importance in many aerospace applications. This work aims to establish a universal framework to estimate the aircraft pose based on generic geometry structure features. In our method, line features are extracted to describe the structure of an aircraft in single images and the generic geometry features are exploited to form line groups for aircraft structure recognition. Parallel line clustering is utilized to detect the fuselage reference line and bilateral symmetry property of aircraft provides an important constraint for the extraction of wing edge lines under weak perspective projection. After identifying the main structure of the aircraft, a planes intersection method is used to obtain the 3D pose parameters based on the established line correspondences. Our proposed method can increase the measuring range of binocular vision sensors and has the advantage of not relying on 3D models, cooperative marks or other feature datasets. Experimental results show that our method can obtain reliable and accurate pose information of different types of aircraft.