bluuebunny/crossref_metadata_2025 huggingface dataset:
An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration
Authors: Hebrard Emmanuel , Artigues Christian , Lopez Pierre , Lusson Arnaud , Chien Steve , Maillard Adrien , Rabideau Gregg
Published: July 2022

Long range space missions, such as Rosetta, require robust plans of data-acquisition activities and of the resulting data transfers. In this paper we revisit the problem of assigning priorities to data transfers in order to maximize safety margin of onboard memory. We propose a fast sweep algorithm to verify the feasibility of a given priority assignment and we introduce an efficient exact algorithm to assign priorities on a single downlink window. We prove that the problem is NP-hard for several windows, and we propose several randomized heuristics to tackle the general case. Our experimental results show that the proposed approaches are able to improve the plans computed for the real mission by the previously existing method, while the sweep algorithm yields drastic accelerations.
The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding
Authors: Romano Giulia , Castiglioni Matteo , Marchesi Alberto , Gatti Nicola
Published: July 2022

The increasing competition in digital advertising induced a proliferation of media agencies playing the role of intermediaries between advertisers and platforms selling ad slots. When a group of competing advertisers is managed by a common agency, many forms of collusion, such as bid rigging, can be implemented by coordinating bidding strategies, dramatically increasing advertisers' value. We study the problem of finding bids and monetary transfers maximizing the utility of a group of colluders, under GSP and VCG mechanisms. First, we introduce an abstract bid optimization problem---called weighted utility problem (WUP)---, which is useful in proving our results. We show that the utilities of bidding strategies are related to the length of paths in a directed acyclic weighted graph, whose structure and weights depend on the mechanism under study. This allows us to solve WUP in polynomial time by finding a shortest path of the graph. Next, we switch to our original problem, focusing on two settings that differ for the incentives they allow for. Incentive constraints ensure that colluders do not leave the agency, and they can be enforced by implementing monetary transfers between the agency and the advertisers. In particular, we study the arbitrary transfers setting, where any kind of monetary transfer to and from the advertisers is allowed, and the more realistic limited liability setting, in which no advertiser can be paid by the agency.

In the former, we cast the problem as a WUP instance and solve it by our graph-based algorithm, while, in the latter, we formulate it as a linear program with exponentially-many variables efficiently solvable by applying the ellipsoid algorithm to its dual. This requires to solve a suitable separation problem in polynomial time, which can be done by reducing it to the weighted utility problem a WUP instance.
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
Authors: Ma Yining , Li Jingwen , Cao Zhiguang , Song Wen , Guo Hongliang , Gong Yuejiao , Chee Yeow Meng
Published: July 2022

We present an efficient Neural Neighborhood Search (N2S) approach for pickup and delivery problems (PDPs). In specific, we design a powerful Synthesis Attention that allows the vanilla self-attention to synthesize various types of features regarding a route solution. We also exploit two customized decoders that automatically learn to perform removal and reinsertion of a pickup-delivery node pair to tackle the precedence constraint. Additionally, a diversity enhancement scheme is leveraged to further ameliorate the performance. Our N2S is generic, and extensive experiments on two canonical PDP variants show that it can produce state-of-the-art results among existing neural methods. Moreover, it even outstrips the well-known LKH3 solver on the more constrained PDP variant. Our implementation for N2S is available online.
Efficient Algorithms for Monotone Non-Submodular Maximization with Partition Matroid Constraint
Authors: Nguyen Lan N. , Thai My T.
Published: July 2022

In this work, we study the problem of monotone non-submodular maximization with partition matroid constraint. Although a generalization of this problem has been studied in literature, our work focuses on leveraging properties of partition matroid constraint to (1) propose algorithms with theoretical bound and efficient query complexity; and (2) provide better analysis on theoretical performance guarantee of some existing techniques. We further investigate those algorithms' performance in two applications: Boosting Influence Spread and Video Summarization. Experiments show our algorithms return comparative results to the state-of-the-art algorithms while taking much fewer queries.
DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer
Authors: Wang Zhizhong , Zhao Lei , Chen Haibo , Zuo Zhiwen , Li Ailin , Xing Wei , Lu Dongming
Published: July 2022

Gram-based and patch-based approaches are two important research lines of style transfer. Recent diversified Gram-based methods have been able to produce multiple and diverse stylized outputs for the same content and style images. However, as another widespread research interest, the diversity of patch-based methods remains challenging due to the stereotyped style swapping process based on nearest patch matching. To resolve this dilemma, in this paper, we dive into the crux of existing patch-based methods and propose a universal and efficient module, termed DivSwapper, for diversified patch-based arbitrary style transfer. The key insight is to use an essential intuition that neural patches with higher activation values could contribute more to diversity. Our DivSwapper is plug-and-play and can be easily integrated into existing patch-based and Gram-based methods to generate diverse results for arbitrary styles. We conduct theoretical analyses and extensive experiments to demonstrate the effectiveness of our method, and compared with state-of-the-art algorithms, it shows superiority in diversity, quality, and efficiency.
Style Fader Generative Adversarial Networks for Style Degree Controllable Artistic Style Transfer
Authors: Zuo Zhiwen , Zhao Lei , Lian Shuobin , Chen Haibo , Wang Zhizhong , Li Ailin , Xing Wei , Lu Dongming
Published: July 2022

Artistic style transfer is the task of synthesizing content images with learned artistic styles. Recent studies have shown the potential of Generative Adversarial Networks (GANs) for producing artistically rich stylizations. Despite the promising results, they usually fail to control the generated images' style degree, which is inflexible and limits their applicability for practical use. To address the issue, in this paper, we propose a novel method that for the first time allows adjusting the style degree for existing GAN-based artistic style transfer frameworks in real time after training. Our method introduces two novel modules into existing GAN-based artistic style transfer frameworks: a Style Scaling Injection (SSI) module and a Style Degree Interpretation (SDI) module. The SSI module accepts the value of Style Degree Factor (SDF) as the input and outputs parameters that scale the feature activations in existing models, offering control signals to alter the style degrees of the stylizations. And the SDI module interprets the output probabilities of a multi-scale content-style binary classifier as the style degrees, providing a mechanism to parameterize the style degree of the stylizations. Moreover, we show that after training our method can enable existing GAN-based frameworks to produce over-stylizations. The proposed method can facilitate many existing GAN-based artistic style transfer frameworks with marginal extra training overheads and modifications. Extensive qualitative evaluations on two typical GAN-based style transfer models demonstrate the effectiveness of the proposed method for gaining style degree control for them.
Chronic Disease Management with Personalized Lab Test Response Prediction
Authors: Bhoi Suman , Lee Mong Li , Hsu Wynne , Fang Hao Sen Andrew , Chuan Tan Ngiap
Published: July 2022

Chronic disease management involves frequent administration of invasive lab procedures in order for

clinicians to determine the best course of treatment

regimes for these patients. However, patients are

often put off by these invasive lab procedures and

do not follow the appointment schedules. This has

resulted in poor management of their chronic conditions leading to unnecessary disease complications. An AI system that is able to personalize the

prediction of individual patient lab test responses

will enable clinicians to titrate the medications to

achieve the desired therapeutic outcome. Accurate prediction of lab test response is a challenge because these patients typically have co-morbidities and their treatments might influence the target lab test response. To address this,

we model the complex interactions among different medications, diseases, lab test response, and

fine-grained dosage information to learn a strong

patient representation. Together with information

from similar patients and external knowledge such

as drug-lab interactions and diagnosis-lab interaction, we design a system called KALP to perform

personalized prediction of patients’ response for a

target lab result and identify the top influencing

factors for the prediction. Experiment results on

real-world datasets demonstrate the effectiveness of

KALP in reducing prediction errors by a significant

margin. Case studies show that the identified factors are consistent with clinicians’ understanding.
Mixed Strategies for Security Games with General Defending Requirements
Authors: Bai Rufan , Lin Haoxing , Yang Xinyu , Wu Xiaowei , Li Minming , Jia Weijia
Published: July 2022

The Stackelberg security game is played between a defender and an attacker, where the defender needs to allocate a limited amount of resources to multiple targets in order to minimize the loss due to adversarial attack by the attacker. While allowing targets to have different values, classic settings often assume uniform requirements to defend the targets. This enables existing results that study mixed strategies (randomized allocation algorithms) to adopt a compact representation of the mixed strategies.

In this work, we initiate the study of mixed strategies for the security games in which the targets can have different defending requirements. In contrast to the case of uniform defending requirement, for which an optimal mixed strategy can be computed efficiently, we show that computing the optimal mixed strategy is NP-hard for the general defending requirements setting. However, we show that strong upper and lower bounds for the optimal mixed strategy defending result can be derived. We propose an efficient close-to-optimal Patching algorithm that computes mixed strategies that use only few pure strategies. We also study the setting when the game is played on a network and resource sharing is enabled between neighboring targets. Our experimental results demonstrate the effectiveness of our algorithm in several large real-world datasets.
Forecasting Patient Outcomes in Kidney Exchange
Authors: Durvasula Naveen , Srinivasan Aravind , Dickerson John
Published: July 2022

Kidney exchanges allow patients with end-stage renal disease to find a lifesaving living donor by way of an organized market. However, not all patients are equally easy to match, nor are all donor organs of equal quality---some patients are matched within weeks, while others may wait for years with no match offers at all. We propose the first decision-support tool for kidney exchange that takes as input the biological features of a patient-donor pair, and returns (i) the probability of being matched prior to expiry, and (conditioned on a match outcome), (ii) the waiting time for and (iii) the organ quality of the matched transplant. This information may be used to inform medical and insurance decisions. We predict all quantities (i, ii, iii) exclusively from match records that are readily available in any kidney exchange using a quantile random forest approach. To evaluate our approach, we developed two state-of-the-art realistic simulators based on data from the United Network for Organ Sharing that sample from the training and test distribution for these learning tasks---in our application these distributions are distinct. We analyze distributional shift through a theoretical lens, and show that the two distributions converge as the kidney exchange nears steady-state. We then show that our approach produces clinically-promising estimates using simulated data. Finally, we show how our approach, in conjunction with tools from the model explainability literature, can be used to calibrate and detect bias in matching policies.
A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance
Authors: Dutta Sujan , Li Beibei , Nagin Daniel S. , KhudaBukhsh Ashiqur R.
Published: July 2022

In this paper, we analyze the responses of three major US cable news networks to three seminal policing events in the US spanning a thirteen month period--the murder of George Floyd by police officer Derek Chauvin, the Capitol riot, Chauvin's conviction, and his sentencing. We cast the problem of aggregate stance mining as a natural language inference task and construct an active learning pipeline for robust textual entailment prediction. Via a substantial corpus of 34,710 news transcripts, our analyses reveal that the partisan divide in viewership of these three outlets reflects on the network's news coverage of these momentous events. In addition, we release a sentence-level, domain-specific text entailment data set on policing consisting of 2,276 annotated instances.
Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract)
Authors: Choudhury Shushman , Gupta Jayesh K. , Kochenderfer Mykel J.
Published: July 2022

We present a scalable planning algorithm for multi-agent sequential decision problems that require dynamic collaboration.

Teams of agents need to coordinate decisions in many domains,

but naive approaches fail due to the exponential growth of the joint action space with the number of agents.

We circumvent this complexity through an anytime approach that allows us to trade computation for

approximation quality and also dynamically coordinate actions.

Our algorithm comprises three elements: online planning with Monte Carlo

Tree Search (MCTS), factorizing local agent interactions with coordination graphs, and

selecting optimal joint actions with the Max-Plus method.

On the benchmark SysAdmin domain with static coordination graphs, our approach achieves comparable performance with much lower computation cost than the MCTS baselines.

We also introduce a multi-drone delivery domain with dynamic, i.e., state-dependent coordination graphs, and demonstrate how our approach scales to large problems on this domain that are intractable for other MCTS methods.
A Survey of Vision-Language Pre-Trained Models
Authors: Du Yifan , Liu Zikang , Li Junyi , Zhao Wayne Xin
Published: July 2022

As transformer evolves, pre-trained models have advanced at a breakneck pace in recent years. They have dominated the mainstream techniques in natural language processing (NLP) and computer vision (CV). How to adapt pre-training to the field of Vision-and-Language (V-L) learning and improve downstream task performance becomes a focus of multimodal learning. In this paper, we review the recent progress in Vision-Language Pre-Trained Models (VL-PTMs). As the core content, we first briefly introduce several ways to encode raw images and texts to single-modal embeddings before pre-training. Then, we dive into the mainstream architectures of VL-PTMs in modeling the interaction between text and image representations. We further present widely-used pre-training tasks, and then we introduce some common downstream tasks. We finally conclude this paper and present some promising research directions. Our survey aims to provide researchers with synthesis and pointer to related research.
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
Authors: Fioretto Ferdinando , Tran Cuong , Van Hentenryck Pascal , Zhu Keyu
Published: July 2022

This paper surveys the recent work in the intersection of differential privacy (DP) and fairness. It focuses on surveying the work observing that DP systems may exacerbate bias and disparate impacts for different groups of individuals. The survey reviews the conditions under which privacy and fairness may be aligned or contrasting goals, analyzes how and why DP exacerbates bias and unfairness in decision problems and learning tasks, and reviews the available solutions to mitigate the fairness issues arising in DP systems. The survey provides a unified understanding of the main challenges and potential risks arising when deploying privacy-preserving machine learning or decisions making tasks under a fairness lens.
Problem Compilation for Multi-Agent Path Finding: a Survey
Authors: Surynek Pavel
Published: July 2022

Multi-agent path finding (MAPF) attracts considerable attention in artificial intelligence community. The task in the standard MAPF is to find discrete paths through which agents can navigate from their starting positions to individual goal positions. The combination of two additional requirements makes the problem computationally challenging: agents must not collide with each other and the paths must be optimal with respect to some objective. Two major approaches to optimal MAPF solving include dedicated search-based methods, and compilation-based methods that reduce a MAPF instance to an instance in a different formalism, for which an efficient solver exists. In this survey, we summarize major compilation-based solvers for MAPF using CSP, SAT, and MILP formalisms. We explain the core ideas of the solvers in a simplified and unified way while preserving the merit making them more accessible for a wider audience.
Sistem Informasi Geografis Pada Kelompok Wanita Tani Berbasis Data Object
Authors: Maulini Rima , Arifin Oki , Sahlinal Dwirgo , Saputra Kurniawan
Published: July 2022

Geographical Information System technology (GIS) uses a document database (JSON) as an object that can be applied to geographic information systems using object data in the group of women farmers (KWT) in Lampung Province. The distribution of KWT in Lampung Province can be done using a geographic information system. The use of relational databases can be replaced by using the document database as a database on the distribution of KWT in Lampung Province. There are 3 data markers for example KWT in Lampung province using google maps. By using a JSON document as a document database as an object it is possible to serve as a geographic information system database.
Pengembangan Multimedia Interaktif Pengenalan Hewan Untuk Anak TK Berbasis Augmented Reality
Authors: Aditama Darmawan , Damastuti Fardani Annisa , Mufid Mohammad Robihul
Published: July 2022

Abstract—The development of Information and Communication Technology (ICT) has changed the new face of education. The implementation of Information and Communication Technology (ICT) in educational institutions has become a must in educational institutions, not to close our eyes that schools are naturally responsive to technological developments. The use of interactive multimedia as a support for the teaching and learning process is considered to be able to increase flexibility in teaching and learning activities, especially for Kindergarten (TK) students. Children at this age should be introduced to the benefits of technology. So that in the future it is not wrong to use technology. An interactive multimedia application that makes it easy for students to learn anywhere and anytime using a mobile device. Learning abilities are focused on making animal recognition applications for kindergarten (TK) students. Because knowledge related to animals must be introduced to students from an early age. Interactive multimedia applications are made by utilizing mobile android and Augmented Reality which are packaged in the form of games (games).
What the youth of a large Russian city knows and thinks about vandalism: the case of Yekaterinburg
Authors: Rudenkin Dmitry Vasil'evich
Published: July 2022

The article is devoted to the analysis of the dominant public opinion of Russian urban youth about vandalism and its forms of manifestation. The author notes that the current practice of research in social and humanitarian science is mainly focused on the analysis of specific cases of vandalism and the motivation of its subjects, while the specifics of mass representations of young people about this phenomenon remains poorly understood. Referring to the data of his own sociological research, the author seeks to take a step in overcoming this imbalance and establish the dominant attitude of Russian urban youth to the phenomenon of vandalism. The hypothesis of the work is that the ground for the spread of youth vandalism is largely created by the superficiality and flexibility of the attitude of the mass youth audience to this phenomenon.   The analysis carried out in the course of the study shows that this hypothesis turned out to be fair. It was found that vandalism as a phenomenon causes mass condemnation of young people only at the level of abstract judgments, while the real attitude of young people to processes in urban space turns out to be flexible. Many young people have an extremely narrow idea of what vandalism is, and do not consider a number of destructive activities in urban space to be its manifestations. This space itself is not perceived as inviolable: the possibility of unauthorized transformations in it does not cause mass rejection of young people. And already existing vandal damage is often simply not noticed. In general, the analysis showed that educational activities should be no less important vector of prevention of youth vandalism than the existing areas of such work.
Emergency risk reduction technologies at tunnel type road junctions
Authors:   Russian-Serbian Humanitarian Center, Kachanov Sergey A. , Khodatenko Yevgeni N. ,   Educational and Scientific-Technical Department of EMERCOM of Russia, Kapralniy Yuri V. ,   All-Russian Research Institute on Problems of Civil Defense and Emergencies of EMERCOM of Russia (Federal Centre of Science and High Technologies)
Published: July 2022

PURPOSE. Tunnel type road junctions considerably reduce traffic load in metropolitan areas, but they are also high-risk facilities. Any emergency in a confined space can result in loss of life and significant property damage. This is confirmed by the fact that over the past decade alone, more than 100 people have died in the tunnel fires. Thus, the development of emergency situations risk reduction technology is a crucial task. METHODS. A review of regulatory documents that establish requirements for the integrated safety of high-risk facilities, including tunnels, has been carried out. The ways of improving safety of tunnel type road junctions have been analyzed. The findings of our own research as well as the international and national experience of integrated safety provision for high-risk facilities have been discussed. FINDINGS. Based on the analysis of literature references and the results of our own experimental studies, the prospects for scientific research on creating integrated automated systems for monitoring safety and life support of tunnel type road junctions have been defined. It is determined that in order to improve the safety of tunnels it is necessary to use the technology of structured systems for monitoring and controlling engineering systems of buildings and structures developed with the participation of the authors (SMIS). RESEARCH APPLICATION FIELD. The obtained results provide the basis for further technologies development for improving the integrated safety of high-risk facilities by using automated systems integrated with each other for monitoring safety and life support of buildings and structures. CONCLUSIONS. The proposed technology for creating SMIS at tunnel type road junctions makes it possible to significantly increase their security. At the same time, when creating SMIS for tunnels it is appropriate to comply with the following requirements: to develop SMIS in the form of a modular structure, automated control over the operation of safety and life support systems should be provided, to develop SMIS as of an “open system” to which it will be possible to extra connect new safety and life support systems.
Course of the V3 segment of the vertebral artery relative to the suboccipital triangle as an anatomical marker for a safe far lateral approach: A retrospective clinical study
Authors: Sriamornrattanakul Kitiporn , Akharathammachote Nasaeng , Chonhenchob Areeporn , Mongkolratnan Atithep , Niljianskul Nattawut , Phoominaonin I-Sorn , Ariyaprakai Chanon , Wongsuriyanan Somkiat
Published: July 2022

Background:

The third segment of the vertebral artery (V3) is vulnerable during far lateral and retrosigmoid approaches. Although the suboccipital triangle (SOT) is a useful anatomical landmark, the relationship between V3 and the muscles forming the triangle is not well-described. We aimed to demonstrate the relationship between the V3, surrounding muscles, and SOT in clinical cases.

Methods:

Operative videos of patients with the vertebral artery (VA) and posterior inferior cerebellar artery (PICA) aneurysms treated with occipital artery-PICA bypass through the far lateral approach were examined. Videos from January 2015 to October 2021 were retrospectively reviewed to determine anatomy of the V3 and the SOT.

Results:

Fourteen patients were included in this study. The ipsilateral V3 was identified without injury in all patients using the bipolar cutting technique. The lateral 68.2% of the horizontal V3 segment, including the V3 bulge, was covered by the inferomedial part of the superior oblique muscle (SO). The medial 23.9% was covered by the inferolateral part of the rectus capitis posterior major muscle. The inferomedial part of the horizontal V3 segment is located within the SOT.

Conclusion:

Most of the V3, including the V3 bulge, were located beneath the SO and the inferomedial part of V3 located within the SOT. Elevation of the SO should be performed carefully using the bipolar cutting technique to avoid injury to the V3. To the best of our knowledge, this is the first description of the V3 relative to the SOT in the clinical setting.
Spinal arachnoiditis and syringomyelia: Review of literature with emphasis on postinfectious inflammation and treatment
Authors: Nadeem Syed Faisal , Baig Ahmer Nasir , Tariq Qurat ul Ain , Shamim Muhammad Shahzad
Published: July 2022

Background:

Arachnoiditis refers to chronic inflammation of the arachnoid mater and subarachnoid space due to three major etiologies: chemical, mechanical, and postinfectious. As a rare disease with variable symptomatology and severity at presentation, arachnoiditis can be extremely debilitating with many complications, prominent among which is syringomyelia.

Methods:

We reviewed current literature concerning postinfectious spinal arachnoiditis and associated syringomyelia with emphasis on the treatment options that have been used to date and discuss their respective benefits and drawbacks.

Results:

It is critical to understand the natural history and potential complications of patient with postinfectious arachnoiditis. Surgical and medical treatments both have their own merits and demerits. Different surgical approaches have been employed with variable success rates.

Conclusion:

At present, no consensus exists regarding management of these patients due to the variable nature of the disease that affects treatment efficacy; however, surgical intervention in selected cases may be beneficial.
Acute ischemic stroke secondary to ventriculoperitoneal shunt dysfunction in a child with Moyamoya syndrome
Authors: Vitulli Francesca , Spennato Pietro , Cicala Domenico , Mirone Giuseppe , Scala Maria Rosaria , Cinalli Giuseppe
Published: July 2022

Background:

Patients with brain vascular disease and hydrocephalus may be predisposed to acute ischemic stroke in case of shunt dysfunction and subsequent increased intracranial pression. Patients with brain tumor may develop hydrocephalus as a consequence of obstruction of cerebrospinal fluid pathways and radiation-induced moyamoya syndrome secondary (RIMS) to radiotherapy (RT).

Case Description:

A 15-year-old male patient, affected by hydrocephalus and RIMS, presented acute cerebral ischemia after an episode of shunt malfunction. The shunt was promptly revised and the areas of ischemia visible at magnetic resonance imaging significantly decreased.

Conclusion:

Children who receive RT for brain tumor, particularly if the circle of Willis region is involved, require close surveillance for the development of vasculopathy and consequent stroke. This surveillance must be even tighter if the patient has been treated with ventricular shunt for the possible synergistic interaction between the two causes on reducing cerebral perfusion and increasing the risk of acute ischemic events.
ECONOMIC STATE OF UKRAINIAN TOURIST BUSINESS IN THE CONVENTION OF THE COVID-19 PANDEMIC
Authors: Mamontova Natalya , Sazonets Igor , Timchenko Oleksandra
Published: July 2022

The article attempts to combine the authors' opinions in the context of generalizing theoretical approaches to tourism business development and practical analysis of the economic condition of Ukraine's tourism business under the influence of the COVID-19 pandemic. To this end, the article sets a number of tasks: analysis of the dynamics of tourism in Ukraine for 2015-2020, and the number of clients of travel companies, to provide comparative characteristics of the distribution of tourists served by tour operators and travel agents to travel in 2015 and 2020, to clarify the performance of travel agents of legal entities in 2020 by regions of Ukraine, to analyze the impact of the COVID-19 pandemic on international tourist arrivals on a regional basis in 2019-2021, to determine the countries visited by Ukrainian citizens and countries from which foreigners came Ukraine in the context of the COVID-19 pandemic. It is proved that the tourism business in Ukraine is not evenly concentrated. The leaders in this indicator are Kyiv, Dnipro, Kharkiv and Lviv regions. It has been determined that in the conditions of the COVID-19 pandemic, the tourism business in Ukraine, although not developing, is not degrading and remains at a certain level. This situation is due to the high incomes of citizens in certain regions. In such conditions, the number of tour operators and travel agents has decreased, but not much. It was found that countries such as Turkey and Egypt were most interested in the arrival of tourists from Ukraine during the pandemic. The flow of tourists to these two countries was much higher than in all other countries combined. The number of tourists leaving the country significantly exceeds the number of tourists coming to Ukraine.
FEATURES OF CRYSTALLIZATION OF POLYMER COMPOSITES FILLED WITH ALUMINUM MICROPARTICLES
Authors:   Institute of Engineering Thermophysics of NAS of Ukraine, Fialko Nataliia , Dinzhos Roman ,   V.O. Sukhomlinskiy National University of Mykolaiv, Sherenkovskiy Julii ,   Institute of Engineering Thermophysics of NAS of Ukraine, Meranova Nataliia ,   Institute of Engineering Thermophysics of NAS of Ukraine, Prokopov Viktor ,   Institute of Engineering Thermophysics of NAS of Ukraine, Polozenko Nina ,   Institute of Engineering Thermophysics of NAS of Ukraine, Aleshko Sergey ,   Institute of Engineering Thermophysics of NAS of Ukraine, Kutnyak Olha ,   Institute of Engineering Thermophysics of NAS of Ukraine, Makhrovskyi Volodymyr ,   V.O. Sukhomlinskiy National University of Mykolaiv
Published: July 2022

The data of experimental studies of the crystallization of polymer microcomposites based on polycarbonate filled with aluminum microparticles are given. Results on the influence of the mass fraction of the filler and the cooling velocity of the composite from the melt on the characteristics of the crystallization exotherm are presented.
GASTRONOMIC TOURISM AS AN ELEMENT OF MARKETING STRATEGIES OF REGIONAL ECONOMY DEVELOPMENT IN CRISIS
Authors:   Lviv State University of Physical Culture named after Ivan Bobersky, Paska Mariia , Holovchuk Yuliia ,   Vinnytsia Trade and Economic Institute of STEU, Harasymchuk Nazarii ,   Lviv University of Business and Law
Published: July 2022

The article deals with the place and role of gastronomic tourism in marketing strategies of regional economy development in Ukraine in modern crisis conditions. It is generalized that gastronomic tourism is a kind of cultural-cognitive tourism, during which acquaintance with the culture of a certain territory, ethnic group or nationality takes place through food or beverages by both their consumption and observation of preparation or participation in this process. An important prerequisite for the development of gastronomic tourism in the region is the development of proper marketing support. The most effective way to solve the problems of regional tourism branding is to form strategic approaches to marketing support for regional tourism development in Ukraine, which should be based on the principles of system, sustainability, convergence and take into account existing regional differences. It is substantiated that in crisis conditions the key principles of formation of marketing strategies of development of regional economy are guarantee of safety of social and economic systems and diversification of possibilities of their development. From the standpoint of strategic management of regional development in the context of overcoming the crisis in the context of the priority of gastronomic tourism development, a set of measures has been developed. It was found that the organizational and functional uniqueness of gastronomic tourism and its close integration with local cultural heritage allow to maximize the effect of increasing the competitiveness of local communities and regions and even in times of crisis to successfully develop and implement measures to increase sustainability and future progressive economic systems. In times of crisis, economic systems, operating in conditions of instability, require the development and implementation of strategic priorities based, in particular, on marketing mechanisms. An effective tool of regional marketing is the formation of the tourist brand of the region, which should be a key aspect of marketing strategies for regional tourism development.
INNOVATIVE DEVELOPMENT OF ENTERPRISES AS THE BASIS OF THEIR SUSTAINABILITY IN THE CONSTITUTION OF UNSTABLE EXTERNAL ENVIRONMENT
Authors:   Taras Shevchenko National University of Kyiv, Murovana Tetiana
Published: July 2022

Innovations form the basis for sustainable development of entrepreneurship. In a dynamic and uncertain environment, business activities are carried out under the influence of risk factors. Understanding the uncertainty factors and risk assessment, compared to the possible economic benefits and opportunities for business in the innovation process, is important to ensure enterprises’ sustainability in the long run perspective. The purpose of our study is to determine the relationship between the analysis and evaluation of the uncertainties of the external and internal environment of innovative enterprises and ensure their sustainability through the implementation of business opportunities and economic, social and other benefits; development of the methodology for the effectiveness of innovative activities of enterprises assessing and forecasting, taking into account the uncertainty factors. The aim of methodological approaches used in this to identify and classify factors by sources of uncertainty based on a theoretical study of existing literature sources. Scientific novelty of our study is development of the conceptual model for economic efficiency of innovative activities forecasting, taking into account factors and sources of uncertainty using the methods of machine learning and strategic analysis. The proposed model involves the conversion of existing qualitative data into quantitative, and the probability of success or failure of innovation is calculated taking into account the previous experience of innovation of similar enterprises, taking into account the current strategic business position of the studied enterprise. The proposed methodology and the obtained results will be relevant for innovativeentrepreneurs and researchers who focus on the development of innovative technologies at the early stage of its implementation.
MARKETING RISKS OF TRADING ENTERPRISES IN THE DIGITAL ECONOMY
Authors:   Lesia Ukrainka Volyn National University, Lialiuk Alla , Sak Tetiana ,   Lesia Ukrainka Volyn National University, Bortnik Svitlana ,   Lesia Ukrainka Volyn National University
Published: July 2022

The article is devoted to the study of trends in the development of electronic commerce and the development of proposals for improving the management of marketing risks of a trading enterprise through the use of the latest tools that provide economic and social effects. Modern approaches to the interpretation of the term "marketing risk", methods of classification, and possible management methods are considered. The term "marketing risk" is given its definition as potential failures and losses that may arise as a result of the lack of internal resources for the integration of marketing channels, insufficient general business understanding of the value of individual customers, and improper coordination of communication or coordination of actions by business lines or sales channels. The development trends of the international e-commerce market have been analyzed. The rapid growth of the digital economy is determined based on statistical data. It has been proven that the transition from the traditional organization of risk management of a trading enterprise to a digital one is a fundamental challenge in the modern conditions of digitalization of the economy. The need to ensure the dynamic competitiveness of trade enterprises using digital marketing technologies is being updated. A retrospective analysis of consumer behavior in e-commerce was conducted. Based on the results of surveys of online buyers, the types and causes of risks in e- commerce were determined. Key concepts for effective marketing have been clarified - in particular, marketing risks and the selection of tools for managing them in the field of electronic commerce. It has been proven that the development of marketing innovations, the use of advanced data analysis tools, and in-depth analytics will enable the development of new risk management techniques, which will contribute to making better decisions at reduced costs.
ECONOMIC TRANSFORMATIONS OF HEALTHCARE IN UKRAINE IN WARTIME CONDITIONS
Authors:   Odesa Medical Institute of the International Humanitarian University, Havrychenko Dmytro
Published: July 2022

The article substantiates the need to transform the key strategic objectives of the healthcare system of Ukraine, adjusted in accordance with the changing conditions of our time. The purpose of the article is to determine the economic changes in the strategic priorities for the development of the healthcare system in the conditions of the war and post-war conditions to ensure the protection of public health. The methodological base of the study is the applied research of the WHO, the State Statistics Committee, applied research of the Ministry of Health, the Ministry of Economic Development and Trade of Ukraine, the Department of Strategic Planning and Macroeconomic Forecasting. Based on the analysis of indicators for achieving Goal 3 of the Sustainable Development Goals in Ukraine in 2017-2020, the forecast value of indicators for 2023, 2025 was calculated. The consequences of a full-scale military invasion of the Russian Federation in Ukraine and its impact on the domestic healthcare system were studied. Changes in the strategic priorities for the development of the health care system of Ukraine under martial law have been determined. In the conclusions, the authors identify the priorities for the development of the healthcare system in Ukraine in the post-war state (injuries, maternal and newborn health, treatment of chronic and non-communicable diseases, minimizing the risks of infectious diseases, protection issues, mental health and psychosocial support, potential chemical and nuclear hazards, global management of COVID -19 and others and key events (alignment of national and global targets and indicators of the CSR, expansion of fiscal space for sustainable financing of health care, development of international partnerships, human resources and public health policy, WHO international support for the health system, medical workers and patients in Ukraine, respect for international humanitarian law, human rights and protection of the civilian population, improving the state of immunization at the local level) to implement an updated strategy for the development of the healthcare system injuries in Ukraine.
GENDER POLICY IN THE PUBLIC ADMINISTRATION OF UKRAINE AND THE COUNTRIES OF THE EUROPEAN UNION
Authors:   Dnipropetrovs’k State University of Internal Affairs, Sydorenko Nataliia
Published: July 2022

The article examines the main issues related to gender policy in the public administration of Ukraine and the countries of the European Union. The main problem of modern public administration in the world, in particular in Ukraine, is the underrepresentation of women in the public sector. The purpose of this study is the analysis of gender policy in the public administration of Ukraine and the countries of the European Union, with the possibility of further implementation of foreign experience in domestic practice. The analysis of the domestic normative and legal field made it possible to determine that Ukraine has a certain normative base for gender transformations in public administration, but it still needs improvement. Conducting a comparative analysis of public sector measures regarding gender policy in countries such as Iceland, Norway, Sweden, and Finland made it possible to study the main achievements of gender policy in these countries in order to further overcome the barriers that prevent the inclusion of women in the service of public bodies of Ukraine. It has been established that in many countries there are similar factors of underrepresentation of women in public. Based on the results of the research, a number of arguments were added regarding the implementation of the best practices of foreign countries in gender policy, namely: the implementation of various initiatives that promote the representation of women in public service, in socially significant projects; stimulation of women's participation in political life through information and educational campaigns in rural and remote areas; improvement of legislative initiatives regarding women; expansion of contacts and mutual assistance of women leaders; involvement of women in newly created specialties in information and communication technologies; improving the work of state bodies regarding the implementation and control of gender equality in accordance with current legislation.
ANALYSIS OF THE EFFICIENCY OF METHODS OF NON-DESTRUCTIVE TESTING OF THE THREADED PART OF DRILL PIPES
Authors: Бобров А.Л. , Бехер С.А. , Шляхтенков С.П.
Published: July 2022

Бурильные трубы подвергаются в процессе работы нестабильным динамическим нагрузкам и своевременное эффективное выявление развивающихся усталостных трещин является необходимой задачей предотвращения экономических потерь. Работа посвящена сравнительным испытаниям неразрушающими методами контроля бурильных труб в процессе их эксплуатации. В статье приведены результаты неразрушающего контроля наиболее подверженной дефектообразованию резьбовой части бурильных труб для строительных работ. Контроль проводили ультразвуковым, вихретоковым, магнитопорошковым и капиллярным методами. При обсуждении результатов контроля установлено, что наиболее эффективным методом для обнаружения усталостных трещин на ранних стадиях их развития является магнитопорошковый метод, так как этим методом выявляются трещины на наиболее ранних стадиях их развития. Развитые трещины (глубиной более 2 мм) обнаруживаются всеми использованными методами. По результатам исследований предложен двухэтапная система периодического диагностирования резьбовой части бурильных труб, когда на ранней стадии обнаруживаются усталостные трещины магнитопорошковым методом за развитием которых наблюдают другими методами неразрушающего контроля.

Drill pipes are exposed to unstable dynamic loads during operation, and timely and effective detection of developing fatigue cracks is a necessary task to prevent economic losses. The work is devoted to comparative testing by non-destructive methods of control of drill pipes during their operation. The article presents the results of non-destructive testing of the most susceptible to defect formation of the threaded part of drill pipes for construction work. The control was carried out by ultrasonic, eddy current, magnetic particle and capillary methods. When discussing the test results, it was found that the most effective method for detecting fatigue cracks at the early stages of their development is the magnetic particle method, since this method detects cracks at the earliest stages of their development. Developed cracks, which more than 2 mm deep, are detected by all methods used. Based on the results of the research, a two-stage system for periodic diagnosing of the threaded part of drill pipes is proposed, when fatigue cracks are detected at an early stage by the magnetic particle method, the development of which is monitored by other methods of non-destructive testing.
parler des jeunes italophones d'un côté et de l'autre de la frontière : formes, représentations et pratiques déclarées d'adolescents tessinois et italiens
Authors: Rezzonico Stefano , Astori Davide
Published: July 2022

In questo articolo vengono investigate le rappresentazioni e le pratiche dichiarate dei giovani italofoni raccolte grazie a dei questionari sottoposti a degli informatori del Mendrisiotto (in Svizzera) e della regione italiana confinante (Como). Da un lato come dall’altro della frontiera, i giovani sembrano attribuire alla lingua dei giovani (ben che formalmente ci siano alcune differenze) la stessa funzione fortemente identitaria e delle caratteristiche d’uso situazionali.
communication expressive dans les forums de discussion : émotions et attitude ironique chez l'adolescent
Authors: Aguert Marc , Marcoccia Michel , Atifi Hassan , Gauduchau Nadia , Laval Virginie
Published: July 2022

This study investigates how adolescents communicate their feelings and attitudes on an Internet forum. Our guiding question is: Is this "expressive communication" specific compared with face-to-face interaction? According to the social information processing theory (Walther, 1996, 2007), it should: Internet forums have significant limitations to express feelings and attitudes due to the lack of contextual cues or nonverbal channels and adolescents try to compensate for these limitations. In this paper, we focus on the communication of basic emotions and ironical attitude in Internet forums. Our results show that adolescents broadly practice expressive communication but always have to make their feelings and attitudes explicit with suitable devices. Thus, basic emotions are communicated by symbolic means, but also by iconical means (like smileys) and typographical ones (like expressive punctuation). Ironical attitudes are clearly communicated by iconical means (smileys) or by verbal explanations. These different means of communicating expressive content are described and discussed.