149 research outputs found
Инновационные технологии в машиностроении : сборник трудов XIV Международной научно-практической конференции, 25–27 мая 2023 г., Юрга
В сборник вошли статьи участников XIV Международной научно-практической конференции по инновационным технологиям в машиностроении, металлургии, сварочном производстве, промышленной безопасности, информационных технологий и автоматизации производства. Материалы конференции могут быть интересны преподавателям, научным сотрудникам, аспирантам и студентам технических специальностей
Animals in Religion, Economy and Daily Life of Ancient Egypt and beyond
[Italiano]: L’International Symposium on Animals in Ancient Egypt, the Middle Nile and their hinterlands (ISAAE) è nato con l’obiettivo di riprendere il proficuo dialogo tra studiosi impegnati in questo vastissimo ambito di ricerca, instauratosi già nel 2016 in occasione della prima edizione organizzata e svoltasi al Musée de Confluences di Lione, e consolidatosi con la seconda edizione tenutasi al Cairo presso l'American University nel 2019. Il terzo Simposio è stato organizzato dal Dipartimento Asia, Africa e Mediterraneo (DAAM) dell'Università di Napoli “L'Orientale” (UniOr), in collaborazione con l'American University del Cairo, e si è svolto presso l’UniOr dal 15 al 17 giugno 2022. I tre intensi giorni di incontri e discussioni hanno rappresentato un importante e proficuo momento di condivisione e di aggiornamento sia sui temi della ricerca teorica e sul campo, sia su quelli più tecnici, connessi alle moderne tecnologie di indagine. Studiosi provenienti da tutto il mondo (Europa, Stati Uniti, Egitto, Giappone, Australia) hanno affrontato una pletora di argomenti legati agli animali: archeozoologia, macellazione, mummificazione e relative tecniche moderne di conservazione-restauro, pratiche funerarie, religione, terminologia e scrittura, arti e mestieri, alimentazione, ruolo nella vita quotidiana e nell'economia. Il presente volume ne raccoglie i risultati che gli editori sono lieti di condividere con i colleghi, ma anche con un pubblico di appassionati, a poco più di un anno dal Simposio./[English]: The International Symposium on Animals in Ancient Egypt, the Middle Nile and their hinterland (ISAAE) was established with the aim of resuming the fruitful dialogue between scholars working in this vast field of research. This initiative was first launched in 2016 during the inaugural edition held at the Musée de Confluences in Lyon and further consolidated at the second edition hosted by the American University in Cairo in 2019. The Third Symposium, organised by the Department Asia, Africa e Mediterrano (DAAM) of the University of Naples "L'Orientale" (UniOr), in collaboration with the American University in Cairo, was hosted at UniOr from 15 to 17 June 2022. The three intensive days of meetings and discussions provided a valuable opportunity to exchange and update theoretical and field research topics, as well as technical issues related to modern research technologies. Scholars from all over the world (Europe, United States, Egypt, Japan, Australia) have addressed a plethora of animal-related topics: archaeozoology, slaughter, mummification and related modern preservation-restoration techniques, funerary practices, religion, terminology and writing, arts and crafts, nutrition, role in daily life and the economy. The present volume contains the results that editors are pleased to share with colleagues as well as enthusiasts, just over a year after the symposium
Supply Chain Management under Technology Innovation and Pandemic
The main purpose of this dissertation is to study supply chain issues under the challenge of technology innovation and pandemic; and to identify the implications for individuals and businesses.
In Chapter 1, ``Consumer Privacy in Online Retail Supply Chains , we study the implications of newly adopted privacy policies such as the GDPR (General Data Protection Regulation) for online retail supply chains consisting of a retailer and a supplier. Exploitation of consumer data allows online retailers to enhance services provided to consumers, but at the risk of causing unintended privacy issues. There has been debate about whether to devise regulation policies to restrict data collection and usage by online retailers. We find that, although the GDPR is designed to protect consumer privacy, it may actually hurt consumer surplus while benefiting the retailer. In fact, the GDPR may even lead to a triple-lose situation for the retailer, supplier, and consumers. We further explore two coordinated supply chain arrangements, i.e., agency selling and vertical integration. We show that the GDPR always enhances the social welfare under these two arrangements, but it may still decrease the consumer surplus. Our results have significant implications for consumers, supply chain firms, and policymakers, and contribute to the literature evaluating the impact of privacy regulation on technology innovation and adoption.
In Chapter 2, ``The Value of Smart Contract in Trade Finance , we investigate how smart contract adoption could facilitate trade finance activities and create value for supply chain firms. As the emerging blockchain technology could potentially reshape the trade financing landscape, understanding the impact of smart contract adoption and its interaction with trade finance activities is practically relevant and of great importance. We develop a two-stage game-theoretic model and adopt supply chain finance theory to characterize the strategic interactions between supply chain firms in the presence of both operational risk (demand uncertainty) and financial risks (credit and liquidity risks). We find that the value of smart contract depends critically on the trade finance structures, including both pre-shipment and post-shipment financing schemes. Under the baseline trade finance model (with purchase order financing as pre-shipment financing and factoring as post-shipment financing), smart contract alleviates the supplier\u27s overpricing behavior caused by commitment frictions and helps restore the supply chain efficiency. When buyer direct financing serves as an alternative pre-shipment financing, smart contract might discourage the retailer from offering buyer direct financing, which significantly hurts the supplier and thus reduces the supply chain profit. When invoice trading serves as the alternative post-shipment financing, the supplier always chooses invoice trading over factoring due to its trading flexibility which, in turn, makes the commitment frictions ubiquitous and unresolvable (namely, commitment trap). As a result, invoice trading could unexpectedly lead to a lower supplier\u27s profit. Luckily, such an adoption dilemma can be resolved by smart contract adoption in conjunction with factoring. Our findings provide guidelines for and insights into when smart contract should be adopted and its interactions with different trade finance schemes. In particular, smart contract adoption does not always benefit the supply chain.
In Chapter 3, ``Impact of COVID-19 on Online Share of Expenditure and the Mediating Role of Digital Infrastructure: Evidence from a Two-year Consumer Panel , we document changes in consumption behaviors after the COVID-19 outbreak in 2020. Our unique dataset from the largest digital payment platform in China allows us to track online and offline consumption for a given consumer over two years. The identification of the COVID impact on consumption is based on two strategies: a year-on-year comparison and a comparison among cities with different numbers of COVID cases. We find that the pandemic disproportionately reduced online and offline consumption, causing a higher online share of consumption during and one year into the pandemic. This result suggests that the pandemic may have a long-lasting impact on consumption structure. Our second main finding is that consumers who live in cities with better digital infrastructure experienced a smaller reduction in online and offline consumption during the pandemic. This result suggests that digital infrastructure leads to consumption resilience against macroeconomic shocks, and that the impact of digital infrastructure on consumption goes beyond the digital economy. We discuss the policy and managerial implications of these findings
Agrifood market regulation and contractual relationships in the light of directive (eu) 633/2019
Il volume collettaneo analizza le tematiche connesse alla disciplina dei rapporti tra i diversi attori della filiera agroalimentare alla luce della Direttiva UE 2019/633 “in materia di pratiche commerciali sleali nei rapporti tra imprese nella filiera agricola e alimentare” e della sua attuazione negli Stati membri, nell’ottica della più ampia problematica della disciplina del mercato agroalimentare. In tale prospettiva, nella prima parte del volume la disciplina dei rapporti contrattuali della filiera agroalimentare viene inquadrata nell’ambito della PAC e della disciplina della concorrenza, evidenziandosi altresì le connessioni con altri profili di rilievo; nella seconda parte, l’analisi si concentra sull’attuazione della Direttiva UE 2019/633 nei diversi Stati membri, al fine di evidenziare i punti di forza e le debolezze del mutato quadro normativo europeo.The collective volume analyzes the issues related to the regulation of relations between the various parties operating within the agri-food chain in the light of EU Directive 2019/633 "on unfair commercial practices in relations between companies in the agricultural and food chain" and to its implementation in the Member States, with a view to the broader problem of agri-food market regulation. In this perspective, in the first part of the volume the discipline of contractual relations in the agri-food chain is framed in the context of the CAP and of the discipline of competition, also highlighting the connections with other relevant profiles; in the second part, the analysis focuses on the implementation of EU Directive 2019/633 in the various Member States, in order to highlight the strengths and weaknesses of the changed European regulatory framework
Queensland University of Technology: Handbook 2023
The Queensland University of Technology handbook gives an outline of the faculties and subject offerings available that were offered by QUT
Applied AI/ML for automatic customisation of medical implants
Most knee replacement surgeries are performed using ‘off-the-shelf’ implants, supplied with a set number of standardised sizes. X-rays are taken during pre-operative assessment and used by clinicians to estimate the best options for patients. Manual templating and implant size selection have, however, been shown to be inaccurate, and frequently the generically shaped products do not adequately fit patients’ unique anatomies. Furthermore, off-the-shelf implants are typically made from solid metal and do not exhibit mechanical properties like the native bone. Consequently, the combination of these factors often leads to poor outcomes for patients.
Various solutions have been outlined in the literature for customising the size, shape, and stiffness of implants for the specific needs of individuals. Such designs can be fabricated via additive manufacturing which enables bespoke and intricate geometries to be produced in biocompatible materials. Despite this, all customisation solutions identified required some level of manual input to segment image files, identify anatomical features, and/or drive design software. These tasks are time consuming, expensive, and require trained resource. Almost all currently available solutions also require CT imaging, which adds further expense, incurs high levels of potentially harmful radiation, and is not as commonly accessible as X-ray imaging.
This thesis explores how various levels of knee replacement customisation can be completed automatically by applying artificial intelligence, machine learning and statistical methods. The principal output is a software application, believed to be the first true ‘mass-customisation’ solution. The software is compatible with both 2D X-ray and 3D CT data and enables fully automatic and accurate implant size prediction, shape customisation and stiffness matching. It is therefore seen to address the key limitations associated with current implant customisation solutions and will hopefully enable the benefits of customisation to be more widely accessible.Open Acces
PREVENTION OF LEGALISATION (LAUNDERING) OF CRIMINAL PROCEEDS IN THE MECHANISM OF ENSURING ECONOMIC SECURITY OF THE STATE
The purpose of the article is to consider the nature and content of economic security as a component of national security of the state; to determine the peculiarities of implementation of a criminal illegal intention to commit legalisation (laundering) of criminally obtained property; to establish the main destructive features of legalisation (laundering) of criminally obtained property and their correlation with economic security of the state; to define the actual means of prevention of legalisation (laundering) of criminally obtained property in the mechanism of ensuring economic security of the state. A scientific discussion of the problem of ensuring the economic security of the country by reducing the risks of legalisation (laundering) of criminally acquired property is presented. The regulatory and programme documents in the field of ensuring economic security have been characterised. The nature and content of economic security as a component of the state's national security were determined. Statistical reporting of law enforcement bodies in terms of detection, investigation and prevention of predicate offences and direct legalisation (laundering) of criminally acquired property was analysed. The authors emphasise the need to improve the system of timely detection of economic risks and threats in order to avoid regulatory, supervisory, organisational and managerial gaps that facilitate both the commission of predicate criminal offences and direct legalisation of the proceeds of crime. Results. It has been established that the essence and content of economic security as a component of the state's national security consists in such functional features as: 1) ensuring the implementation of full cycle production as a means of increasing the level of resource efficiency of the economy; 2) providing foreign and domestic trade infrastructure as a means of increasing the institutional economic capacity of the state; 3) ensuring the investment attractiveness of the state as a means of improving the foreign and domestic economic policy of the state (investment and reinvestment processes); 4) ensuring economic stimulation for the systematisation of innovative renewal of the products of the activities of business entities; 5) ensuring control over labour migration in order to retain qualified specialists; 6) ensuring protection against economic crimes; 7) ensuring the development and competitiveness of the stock market. The specifics of the implementation of the criminal illegal intention to commit legalisation (laundering) of criminally obtained property have been differentiated: 1) multi-stage, which implies the presence of a complex mechanism of criminally illegal behaviour, often aimed at achieving several goals united by a single intention; 2) a list of possible predicate offences, which are fundamental in terms of property legalisation (laundering); 3) committing a criminal offence as part of an organised group/criminal organisation; 4) involving partners in crime with interregional and cross-border links; 5) ensuring the latency of predicate offences through legalisation (laundering) of criminally acquired property. Modern methods of prevention of legalisation (laundering) of criminally acquired property in the mechanism of ensuring economic security of the state have been proposed: 1) differentiation of legalisation (laundering) of criminally acquired property as an economic and criminal offence based on the object of intervention in/outside the predicate socially dangerous acts; 2) improvement of financial monitoring and registration procedures related to the acquisition of property rights and other economic transactions; 3) a fundamental departure from the generalisation of measures aimed at de-shadowing the economy (taking into account the object of de-shadowing); 4) elimination of shortcomings in economic procedural legislation, which often creates a field for fictitious bankruptcy; 5) elimination of shortcomings in criminal legislation, by revising the sanction of Art. 209 of the Criminal Code of Ukraine
Data Market Design through Deep Learning
The problem is a problem in economic theory to
find a set of signaling schemes (statistical experiments) to maximize expected
revenue to the information seller, where each experiment reveals some of the
information known to a seller and has a corresponding price [Bergemann et al.,
2018]. Each buyer has their own decision to make in a world environment, and
their subjective expected value for the information associated with a
particular experiment comes from the improvement in this decision and depends
on their prior and value for different outcomes. In a setting with multiple
buyers, a buyer's expected value for an experiment may also depend on the
information sold to others [Bonatti et al., 2022]. We introduce the application
of deep learning for the design of revenue-optimal data markets, looking to
expand the frontiers of what can be understood and achieved. Relative to
earlier work on deep learning for auction design [D\"utting et al., 2023], we
must learn signaling schemes rather than allocation rules and handle
these arising from modeling the downstream
actions of buyers in addition to incentive constraints on bids. Our
experiments demonstrate that this new deep learning framework can almost
precisely replicate all known solutions from theory, expand to more complex
settings, and be used to establish the optimality of new designs for data
markets and make conjectures in regard to the structure of optimal designs
Accounting ensure of business management in the conditions of martial law and Ukraine’s national economic recovery
In this monograph, the authors summarized and supplemented the results of many scientific justifications and developments. Considerable attention is paid to the study of accounting and taxation issues in the context of modern management concepts and risks of martial law in Ukraine
Model Transformation Testing and Debugging: A Survey
Model transformations are the key technique in Model-Driven Engineering (MDE) to manipulate and construct models. As a consequence, the correctness of software systems built with MDE approaches relies mainly on the correctness of model transformations, and thus, detecting and locating bugs in model transformations have been popular research topics in recent years. This surge of work has led to a vast literature on model transformation testing and debugging, which makes it challenging to gain a comprehensive view of the current state of the art.
This is an obstacle for newcomers to this topic and MDE practitioners to apply these approaches. This paper presents a survey on testing and debugging model transformations based on the analysis of \nPapers~papers on the topics. We explore the trends, advances, and evolution over the years, bringing together previously disparate streams of work and providing a comprehensive view of these thriving areas. In addition, we present a conceptual framework to understand and categorise the different proposals. Finally, we identify several open research challenges and propose specific action points for the model transformation community.This work is partially supported by the European Commission (FEDER) and Junta de Andalucia under projects APOLO (US-1264651) and
EKIPMENT-PLUS (P18-FR-2895), by the Spanish Government (FEDER/Ministerio de Ciencia e Innovación – Agencia Estatal de Investigación) under projects HORATIO (RTI2018-101204-B-C21), COSCA (PGC2018-094905-B-I00) and LOCOSS (PID2020-114615RB-I00), by the Austrian Science Fund (P 28519-N31, P 30525-N31), and by the Austrian Federal Ministry for Digital and Economic Affairs and the National Foundation for Research, Technology and Development (CDG
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