bluuebunny/crossref_metadata_2025 huggingface dataset:
Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph
Authors: Fei Hao , Wu Shengqiong , Zhang Meishan , Ren Yafeng , Ji Donghong
Published: July 2022

Conversational semantic role labeling (CSRL) is a newly proposed task that uncovers the shallow semantic structures in a dialogue text. Unfortunately several important characteristics of the CSRL task have been overlooked by the existing works, such as the structural information integration, near-neighbor influence. In this work, we investigate the integration of a latent graph for CSRL. We propose to automatically induce a predicate-oriented latent graph (POLar) with a predicate-centered gaussian mechanism, by which the nearer and informative words to the predicate will be allocated with more attention. The POLar structure is then dynamically pruned and refined so as to best fit the task need. We additionally introduce an effective dialogue-level pre-trained language model, CoDiaBERT, for better supporting multiple utterance sentences and handling the speaker coreference issue in CSRL. Our system outperforms best-performing baselines on three benchmark CSRL datasets with big margins, especially achieving over 4% F1 score improvements on the cross-utterance argument detection. Further analyses are presented to better understand the effectiveness of our proposed methods.
Explicit Alignment Learning for Neural Machine Translation
Authors: Li Zuchao , Zhao Hai , Xiao Fengshun , Utiyama Masao , Sumita Eiichiro
Published: July 2022

Even though neural machine translation (NMT) has become the state-of-the-art solution for end-to-end translation, it still suffers from a lack of translation interpretability, which may be conveniently enhanced by explicit alignment learning (EAL), as performed in traditional statistical machine translation (SMT). To provide the benefits of both NMT and SMT, this paper presents a novel model design that enhances NMT with an additional training process for EAL, in addition to the end-to-end translation training.

Thus, we propose two approaches an explicit alignment learning approach, in which we further remove the need for the additional alignment model, and perform embedding mixup with the alignment based on encoder--decoder attention weights in the NMT model. We conducted experiments on both small-scale (IWSLT14 De->En and IWSLT13 Fr->En) and large-scale (WMT14 En->De, En->Fr, WMT17 Zh->En) benchmarks. Evaluation results show that our EAL methods significantly outperformed strong baseline methods, which shows the effectiveness of EAL. Further explorations show that the translation improvements are due to a better spatial alignment of the source and target language embeddings. Our method improves translation performance without the need to increase model parameters and training data, which verifies that the idea of incorporating techniques of SMT into NMT is worthwhile.
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances
Authors: Tong Shoujie , Dong Qingxiu , Dai Damai , Song Yifan , Liu Tianyu , Chang Baobao , Sui Zhifang
Published: July 2022

Fine-tuning pretrained language models (PLMs) on downstream tasks has become common practice in natural language processing. However, most of the PLMs are vulnerable, e.g., they are brittle under adversarial attacks or imbalanced data, which hinders the application of the PLMs on some downstream tasks, especially in safe-critical scenarios. In this paper, we propose a simple yet effective fine-tuning method called Match-Tuning to force the PLMs to be more robust. For each instance in a batch, we involve other instances in the same batch to interact with it. To be specific, regarding the instances with other labels as a perturbation, Match-Tuning makes the model more robust to noise at the beginning of training. While nearing the end, Match-Tuning focuses more on performing an interpolation among the instances with the same label for better generalization. Extensive experiments on various tasks in GLUE benchmark show that Match-Tuning consistently outperforms the vanilla fine-tuning by 1.64 scores. Moreover, Match-Tuning exhibits remarkable robustness to adversarial attacks and data imbalance.
TaxoPrompt: A Prompt-based Generation Method with Taxonomic Context for Self-Supervised Taxonomy Expansion
Authors: Xu Hongyuan , Chen Yunong , Liu Zichen , Wen Yanlong , Yuan Xiaojie
Published: July 2022

Taxonomies are hierarchical classifications widely exploited to facilitate downstream natural language processing tasks. The taxonomy expansion task aims to incorporate emergent concepts into the existing taxonomies. Prior works focus on modeling the local substructure of taxonomies but neglect the global structure. In this paper, we propose TaxoPrompt, a framework that learns the global structure by prompt tuning with taxonomic context. Prompt tuning leverages a template to formulate downstream tasks into masked language model form for better distributed semantic knowledge use. To further infuse global structure knowledge into language models, we enhance the prompt template by exploiting the taxonomic context constructed by a variant of the random walk algorithm. Experiments on seven public benchmarks show that our proposed TaxoPrompt is effective and efficient in automatically expanding taxonomies and achieves state-of-the-art performance.
Real-Time Heuristic Search with LTLf Goals
Authors: Middleton Jaime , Toro Icarte Rodrigo , Baier Jorge
Published: July 2022

In Real-Time Heuristic Search (RTHS) we are given a search graph G, a heuristic, and the objective is to find a path from a given start node to a given goal node in G. As such, one does not impose any trajectory constraints on the path, besides reaching the goal. In this paper we consider a version of RTHS in which temporally extended goals can be defined on the form of the path. Such goals are specified in Linear Temporal Logic over Finite Traces (LTLf), an expressive language that has been considered in many other frameworks, such as Automated Planning, Synthesis, and Reinforcement Learning, but has not yet been studied in the context of RTHS. We propose a general automata-theoretic approach for RTHS, whereby LTLf goals are supported as the result of searching over the cross product of the search graph and the automaton for the LTLf goal; specifically, we describe LTL-LRTA*, a version of LSS-LRTA*. Second, we propose an approach to produce heuristics for LTLf goals, based on existing goal-dependent heuristics. Finally, we propose a greedy strategy for RTHS with LTLf goals, which focuses search to make progress over the structure of the automaton; this yields LTL-LRTA*+A. In our experimental evaluation over standard benchmarks we show LTL-LRTA*+A may outperform LTL-LRTA* substantially for a variety of LTLf goals.
Tradformer: A Transformer Model of Traditional Music Transcriptions
Authors: Casini Luca , Sturm Bob L. T.
Published: July 2022

We explore the transformer neural network architecture for modeling music,

specifically Irish and Swedish traditional dance music.

Given the repetitive structures of these kinds of music, the transformer should be as successful with fewer parameters and complexity as the hitherto most successful model, a vanilla long short-term memory network.

We find that achieving good performance with the transformer is not straightforward,

and careful consideration is needed for the sampling strategy,

evaluating intermediate outputs in relation to engineering choices,

and finally analyzing what the model learns.

We discuss these points with several illustrations,

providing reusable insights for engineering other music generation systems.

We also report the high performance of our final transformer model

in a competition of music generation systems

focused on a type of Swedish dance.
AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation
Authors: Cao Xu , Li Xiaoye , Ma Liya , Huang Yi , Feng Xuan , Chen Zening , Zeng Hongwu , Cao Jianguo
Published: July 2022

Movement and pose assessment of newborns lets experienced pediatricians predict neurodevelopmental disorders, allowing early intervention for related diseases. However, most of the newest AI approaches for human pose estimation methods focus on adults, lacking publicly benchmark for infant pose estimation. In this paper, we fill this gap by proposing infant pose dataset and Deep Aggregation Vision Transformer for human pose estimation, which introduces a fast trained full transformer framework without using convolution operations to extract features in the early stages. It generalizes Transformer + MLP to high-resolution deep layer aggregation within feature maps, thus enabling information fusion between different vision levels. We pre-train AggPose on COCO pose dataset and apply it on our newly released large-scale infant pose estimation dataset. The results show that AggPose could effectively learn the multi-scale features among different resolutions and significantly improve the performance of infant pose estimation. We show that AggPose outperforms hybrid model HRFormer and TokenPose in the infant pose estimation dataset. Moreover, our AggPose outperforms HRFormer by 0.8 AP on COCO val pose estimation on average. Our code is available at github.com/SZAR-LAB/AggPose.
Ranked Prioritization of Groups in Combinatorial Bandit Allocation
Authors: Xu Lily , Biswas Arpita , Fang Fei , Tambe Milind
Published: July 2022

Preventing poaching through ranger patrols protects endangered wildlife, directly contributing to the UN Sustainable Development Goal 15 of life on land. Combinatorial bandits have been used to allocate limited patrol resources, but existing approaches overlook the fact that each location is home to multiple species in varying proportions, so a patrol benefits each species to differing degrees. When some species are more vulnerable, we ought to offer more protection to these animals; unfortunately, existing combinatorial bandit approaches do not offer a way to prioritize important species. To bridge this gap, (1) We propose a novel combinatorial bandit objective that trades off between reward maximization and also accounts for prioritization over species, which we call ranked prioritization. We show this objective can be expressed as a weighted linear sum of Lipschitz-continuous reward functions. (2) We provide RankedCUCB, an algorithm to select combinatorial actions that optimize our prioritization-based objective, and prove that it achieves asymptotic no-regret. (3) We demonstrate empirically that RankedCUCB leads to up to 38% improvement in outcomes for endangered species using real-world wildlife conservation data. Along with adapting to other challenges such as preventing illegal logging and overfishing, our no-regret algorithm addresses the general combinatorial bandit problem with a weighted linear objective.
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Authors: Zhang Rui , Guo Song , Wang Junxiao , Xie Xin , Tao Dacheng
Published: July 2022

Recent studies have shown that the training samples can be recovered from gradients, which are called Gradient Inversion (GradInv) attacks. However, there remains a lack of extensive surveys covering recent advances and thorough analysis of this issue. In this paper, we present a comprehensive survey on GradInv, aiming to summarize the cutting-edge research and broaden the horizons for different domains. Firstly, we propose a taxonomy of GradInv attacks by characterizing existing attacks into two paradigms: iteration- and recursion-based attacks. In particular, we dig out some critical ingredients from the iteration-based attacks, including data initialization, model training and gradient matching. Second, we summarize emerging defense strategies against GradInv attacks. We find these approaches focus on three perspectives covering data obscuration, model improvement and gradient protection. Finally, we discuss some promising directions and open problems for further research.
sunny-as2: Enhancing SUNNY for Algorithm Selection (Extended Abstract)
Authors: Liu Tong , Amadini Roberto , Gabbrielli Maurizio , Mauro Jacopo
Published: July 2022

SUNNY is a k-nearest neighbors based Algorithm Selection (AS) approach that schedules and runs a number of solvers for a given unforeseen problem. In this work we present sunny-as2, an enhancement of SUNNY for generic AS scenarios that advances the original approach with wrapper-based feature selection, neighborhood-size configuration and a greedy approach to speed-up the training phase. Empirical evidence shows that sunny-as2 is competitive w.r.t. state-of-the-art AS approaches.
Interaction and Expressivity in Collective Decision-Making
Authors: Grandi Umberto
Published: July 2022

Collective decisions among human and artificial agents can be enhanced by allowing for more interaction among decision-makers and by letting them express more information about their preferences.

In this paper I present ongoing research on two settings: iterative voting, which repeatedly applies a voting rule until decision-makers converge to an outcome, and delegative voting on multiple issues.
Dynamic Bandits with Temporal Structure
Authors: Chen Qinyi
Published: July 2022

In this work, we study a dynamic multi-armed bandit (MAB) problem, where the expected reward of each arm evolves over time following an auto-regressive model. We present an algorithm whose per-round regret upper bound almost matches the regret lower bound, and numerically demonstrate its efficacy in adapting to the changing environment.
Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language
Authors: Kolawole Steven , Osakuade Opeyemi , Saxena Nayan , Olorisade Babatunde Kazeem
Published: July 2022

Through this paper, we seek to reduce the communication barrier between the hearing-impaired community and the larger society who are usually not familiar with sign language in the sub-Saharan region of Africa with the largest occurrences of hearing disability cases, while using Nigeria as a case study. The dataset is a pioneer dataset for the Nigerian Sign Language and was created in collaboration with relevant stakeholders. We pre-processed the data in readiness for two different object detection models and a classification model and employed diverse evaluation metrics to gauge model performance on sign-language to text conversion tasks. Finally, we convert the predicted sign texts to speech and deploy the best performing model in a lightweight application that works in real-time and achieves impressive results converting sign words/phrases to text and subsequently, into speech.
Uji Kinerja Mesin Petik Pucuk Teh (Tea Harvester) Tipe TS120L Pada Lahan Berbukit Dengan Kemiringan 40-60
Authors: Nurringge An’illa Agrissa , Iswahyono Iswahyono , Djamila Siti , Bahariawan Amal
Published: July 2022

The quantity and quality of tea products were determined by the activity of harvesting tea leaves. The performance of the picking process was influenced by the characteristics of the tea garden land. PT. Candi Loka has hilly tea gardens with slope variations up to 60o. The purpose of this research is to observe the performance of the tea picking machine TS120L on garden land with a slope of 40-60o. Parameters observed in this activity include data on total picking time, plucking speed, plucking machine width, picking area, weight of plucked tea and fuel usage. The obtained data were analyzed to obtain the value of field capacity, efficiency of plucking performance, fuel consumption and analyzed descriptively. The results showed that the average value of theoretical field capacity ha/hour, average actual field capacity 0,14 ha/hour, average efficiency 73,68 %, average actual material capacity 1347 kg/ha and average fuel consumption 1,3 liter/hour. In general, the hilly land with a slope of 40- 60o decrease the performance of the tea picking machine TS120L
Implementasi Algoritma Greedy dan Djikstra untuk Efektifitas Rute Pariwisata Populer di Borobudur
Authors: Rahmawati Eka , Agustina Candra
Published: July 2022

New tourist attractions in the Borobudur region always bring domestic and foreign tourists to visit. Besides visit the Borobudur Temple, now, the tourists can visit the other popular tourist attractions near the main destination. For example, in 2019, a new tourist attraction was created, it called Mata Langit. Many tourists will include all the interest object on the visit list. The more destinations that will be visited will increase the allocation of time to travel. Tourists must be careful in determining the route.  The effective route is very important to manage the time. In the field of computer technology, several algorithms can help to determine the shortest route. Among them are the Greedy algorithm and Djikstra's algorithm. Both algorithms have different principles in processing data. Therefore to get the best results, it is necessary to compare the 2 algorithms. The first time, determined the 5 most popular attractions in Borobudur based on the number of visitors in the last three months. Then the data is processed using Greedy and Djikstra's algorithm. The winner is determined based on the shortest time owned by each route produced. The results obtained show that the Greedy algorithm is more effective in calculating the shortest route to visit popular tours in Borobudur
Method of improving systems ensuring reduction of fire and industrial hazard
Authors:   Voronezh state technical university, Korolev Denis S. , Vytovtov Aleksey V. ,   Voronezh state technical university
Published: July 2022

PURPOSE. The scientific article raises an urgent issue of implementing primary measures aimed at ensuring fire and industrial safety. Fire distances between the protected object and the forest stand (lands), the implementation of which is not always possible for a number of reasons (environmental aspect, climatic changes, building density, etc.), were chosen as the object of the study. METHODS. The unified approach based on the knowledge of thermal radiation intensity, computer modeling and mathematical dependencies is proposed as a solution to the problem. At the same time, the construction of the numerical experiment was carried out on the basis of the regression response, which was the desired response of the mathematical model. FINDINGS. Based on information indicators (type of forest plantation, intensity of heat flow, etc.), the working mathematical model for calculating fire distances presented in the form of formulas was obtained. The verification was carried out and minimum fire distances between forest stands and the protected object were determined. RESEARCH APPLICATION FIELD. The presented approach is a unified way to solve specific problems at implementing primary fire safety measures. It can be used by local authorities in rural settlements at determining safe fire distances between forest stands and residential buildings, as well as industrial facilities. CONCLUSIONS. The result of the study is the mathematical model and mathematical dependencies that allow calculating minimum fire separation distances that ensure the stable functioning of the protected object. In addition, the compensatory measures are proposed in case of emergency.
Pecilarities of the physical picture of the crash explosions development in isolated rooms
Authors:   State Fire Academy of EMERCOM of Russia, Timokhin Vasiliy V.
Published: July 2022

PURPOSE. The study is devoted to the process of forming explosive loads in emergencies related to air-gas mixtures crash explosion in simply connected areas of residential buildings equipped with gas appliances. METHODS. The author has analyzed the current situation related to household gas explosions in residential gasified apartment buildings across the territory of the Russian Federation, and also carried out an experimental study of the dynamics of an internal deflagration explosion in a simply connected room. FINDINGS. The conducted experimental studies have shown the sufficient complexity of the combustion process occurring during real crash explosions in semi-enclosed areas (kitchens of residential buildings) as well as the importance of choosing structural parameters (glazing) to reduce the pressure index to an acceptable level. RESEARCH APPLICATION FIELD. The outcomes may be used in determining the optimal parameters of structures designed to reduce the consequences of an explosion. CONCLUSIONS. The outcomes of the experimental data obtained by simulating an internal explosion in a model chamber fully correspond to the real scenario of the explosive loads formation. The pressure peak during the explosion corresponds to the maximum area of the combustion front, comparable to the internal area of the room; when opening window areas, the explosion energy goes beyond the internal housing capacity, which helps reduce the pressure value. For a more accurate prediction of the consequences and possible proposals for reducing explosive loads level, further work is needed in this area, aimed at reproducing and implementing an internal explosion in adjacent rooms.
Transradial versus transfemoral arterial access in DEB-TACE for hepatocellular carcinoma
Authors: Ghosh Abheek , Gupta Vikash , Al Khalifah Abdullah , Akhter Nabeel Mohsin
Published: July 2022

Objectives

Transradial access has become increasingly popular in body interventional procedures but has not been ubiquitously adapted. This retrospective study compares the efficacy of this approach versus transfemoral access in hepatocellular carcinoma (HCC) patients who underwent drug-eluting bead transarterial chemoembolization (DEB-TACE).

Materials and Methods

A total of 130 HCC patients underwent 146 DEB-TACE procedures within our institution from June 2015 to May 2020. About 90 and 56 procedures were logged for the transradial and transfemoral cohorts, respectively. Peak skin dose, fluoroscopy time, administered contrast volume, total procedure time, and equipment cost data for each procedure were reviewed to evaluate for statistical differences between the two groups.

Results

All 146 cases were technically successful without major complications or access failures in either group. No statistical differences were present between the two access groups in regards to peak skin dose or fluoroscopy time. Transradial access recorded a significantly higher contrast volume (P < 0.05), and a significantly longer procedural time than transfemoral access (P < 0.01). However, transradial access also displayed a significantly lower procedural equipment cost (P < 0.01) between the two groups.

Conclusion

Transradial DEB-TACE has similar trends to transfemoral DEB-TACE in several pertinent radiation parameters and is also significantly more cost-efficacious. The results of this investigation suggest the consideration of transradial access whenever viable as an alternative to transfemoral access in the DEB-TACE treatment of HCC patients.
Ceftriaxone-induced encephalopathy in a patient with multicentric glioma
Authors: Anto Mariette , Iyer Rajesh Shankar , Manuel Adarsh , Jayachandran Akarsh , Jose Rosmy , John Nisha , Shyam Puja , Thankachan Anjitha , Thomas Santhosh George , Bahuleyan Biji
Published: July 2022

Background:

Ceftriaxone is a commonly used antibiotic in a wide range of local and systemic infections. Encephalopathy is a rare complication of ceftriaxone, often seen in older adults and those with renal insufficiency.

Case Description:

A 73-year-old lady with prior history of hypertension and dyslipidemia presented with the complaints of slurred speech, gait imbalance, nocturnal vomiting, and progressively worsening headache. A magnetic resonance imaging of the brain revealed two intracerebral lesions involving the right frontal and temporal lobes, suggestive of multicentric glioma. She underwent craniotomy and excision of these lesions. The biopsy was reported as intra-axial tumors with features suggestive of the WHO Grade IV glioma. Postoperatively, she did not wake up. An electroencephalogram demonstrated triphasic waves suggestive of encephalopathy. The probable diagnosis of ceftriaxone-induced encephalopathy was made after ruling out other causes of delayed awakening after surgery. Ceftriaxone was discontinued and the patient improved within 2 days of withdrawal of ceftriaxone.

Conclusion:

Drug-induced encephalopathy should be considered in the differential diagnosis of patients with delayed awakening after surgery. Discontinuation of the drug leads to the recovery of these patients.
Foundation course – A fundamental requirement for Indian medical graduates as per graduate medical regulations
Authors: Ganesh M. , Manikandan A. , Muthukathan Rakchna
Published: July 2022

A foundation course for newly joined Indian medical graduates is essential for their induction into the medical profession. They learn about various soft skills and other nuances, which will help them adapt to the new professional learning environment. In our institute, the course is conducted based on the Graduate Medical Education Regulations of the National Medical Commission (NMC) of 2019. The process of organization, planning, and execution of the foundation course is described in a step-wise manner. The student activities are planned in various large groups and small groups under each module put forth by the NMC. The modules include the orientation module, skills module, field visit to community health center module, professional development and ethics module, enhancement of language and computer skills module, and sports and extra-curricular activities module.
INTERNATIONAL ACCOUNTING: RECOGNIZING OR DENYING
Authors: Kindratska Lubomira
Published: July 2022

The article is devoted to the author's views on the place and role of international accounting in the modern economic system of the country. It is noted that at any stage of evolution there will be a kind of problem niches that can and should be filled, especially in the theory of accounting. The issue of the possibility of working out accounting procedures in international accounting with the help of IFRS is considered. Emphasis is placed on the importance of targeted information, which can manifest itself in two main forms: semantic and pragmatic. IFRS is recognized as a target for improving accounting practices in terms of fair presentation of information in a comprehensible form. It is noted that the requirements for financial reporting change as society's demands grow. The dynamism of society subordinates the development of financial reporting to changes in economic relations between business entities, which requires targeted and reliable information. The concept of stakeholders and the theory of stakeholders, which emphasize the interdependence of business entities and users of financial reporting, that is an important component of business success, have been recognized as a modern direction in the development of financial reporting. It is recommended to recognize financial reporting as an object of institutional analysis, that develops in the context of intensifying social phenomena and institutions, which confirms the need for quality information to users in the process of providing them with relevant financial and nonfinancial information. It is noted that there is no reason to compare the recommendations of IFRS and practical methods of international accounting, the creation of which is a priori impossible. The article proves that it is not the time for actualization of the international accounting issue.
CRYSTALLIZATION EXOTHERMS FOR POLYMER COMPOSITES FILLED WITH CARBON NANOTUBES
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, Navrodska Raisa ,   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, Parkhomenko Оleksandr ,   V.O. Sukhomlinskiy National University of Mykolaiv
Published: July 2022

The data of experimental studies of crystallization of polymer nanocomposites based on polycarbonate are presented.
URBAN MOBILITY MANAGEMENT IN THE ASPECT OF THE CITY TRANSPORT SYSTEM (ON THE EXAMPLE OF KYIV)
Authors:   Taras Shevchenko National University of Kyiv, Cherednichenko Oleksandra , Pryimachenko Оleksiy ,   Mykolas Romeris University
Published: July 2022

The low quality of public transport services, the inconvenience of routes, the long duration of trips and a number of other problems encourage residents of the largest cities to increasingly choose a car for everyday correspondence, which, in turn, increases delays, travel time and leads to environmental pollution of territories. The article defines the concepts of "urban mobility" and "urban mobility management". The main problems of transport service systems are also described and management tools for their solution are provided
STRATEGIES OF MARKETING ONLINE COMMUNICATIONS OF UKRAINIAN CINEMAS: THE BEST ADVERTISING CASES
Authors:   State University of Trade and Economics, Fayvishenko Diana , Kryshtal Bohdana ,   State University of Trade and Economics
Published: July 2022

Introduction. Modern marketing communications are the basis of promising business and promotion of its services. Along with the development of technology and the digitalization of society, advertising on the Internet is in great demand. Especially now, with the martial law in the country, advertising using offline communications is impossible, so companies are forced to master new platforms to promote their products and implement online communications to attract audiences. Purpose. The purpose of the study is to determine marketing approaches to the promotion of Ukrainian cinema chains through online communications, analysis of advertising in social networks, the selection of tools and channels of promotion, taking into account the factors of external and internal environment. Materials and methods. The research materials are 1) works of foreign and domestic scientists who conducted research in the field of marketing, imageology and brand management; 2) use of Internet resources, in particular the official websites of creative and media agencies; 3) statistics of the annual report on the number of Internet users, in particular in Ukraine. The following scientific methods were used in the research process: system approach (definition of a cinema chain as a system, all objects of which are interconnected); method of analysis and synthesis (study of all individual tools of promotion, which together constitute a common system of marketing communications of the cinema); case method (for a detailed analysis of the advertising activities of individual cinemas in wartime); generalization (formation of research results). Results. The article fully covers the theoretical, methodological and practical aspects of the process of promoting cinema chains through online communications in the media space. The main channels and tools for promoting online communications are identified, marketing strategies for communication activities of cinema chains in social networks are analyzed. Discussion. In the following scientific researches the analysis of the general system of marketing communications of cinema chains, development of the differentiated strategy of marketing communications, definition of target landmarks of advancement is offered. This will provide an opportunity to improve the promotion strategy, increase the effectiveness of advertising, expand the audience and establish communication with it.
FEATURES OF THE FUNCTIONING OF HOTELS IN THEME PARKS (DISNEYLAND PARIS EXPERIENCE)
Authors:   O.M. Beketov National University of Urban Economy in Kharkiv, Andrenko Iryna
Published: July 2022

The article examines the experience of hotels in a theme park. The active development of entertainment infrastructure and theme parks, in particular, led to the need to review the concept of theme parks only as an object of visitation and caused the emergence of so-called themed hotels, which have their own advantages and peculiarities of operation. The purpose of the article: to generalize the experience of operating hotels in a theme park on the example of the experience of Disneyland Paris. The paper examines the history of the creation of the theme park Disneyland Paris, and highlights the history of the appearance of hotel infrastructure on the territory of the theme park. Based on the analysis of open sources of information, information on the hotel infrastructure of Disneyland Paris has been researched and summarized. It was found that for the service of tourists, both the own hotel infrastructure and those located nearby are involved, which allows to ensure the stay of tourists in establishments of various comfort levels from 2 to 5 stars with the appropriate level of service and cost of living. The information about the services of the most comfortable hotel of the theme park Disneyland Hotel 5* was analyzed and summarized: the main categories of rooms were considered and the types and features of the Castle Club club rooms of the Disneyland Hotel 5* were characterized, indicating the area of the rooms, the main equipment, the possible number of guests and other features of the room. Services for children are highlighted and briefly described. The main advantages of staying in a themed hotel have been determined. All the obtained results of the conducted research on the peculiarities of the functioning of the hotel in the theme park on the example of Disneyland Paris were analyzed, systematized, grouped and summarized in the form of schemes, which can be used both in the process of training future specialists and for further research by scientists. The study of the Disneyland Hotel 5* experience can lead to the further creation of themed hotels in Ukraine. In the future, it would be expedient to investigate and compare the experience of theme hotels in different theme parks in order to attract and implement the experience in the activities of hotels in Ukraine.
DIGITAL TOOLS TO INCREASE THE EFFICIENCY OF PUBLIC ADMINISTRATION
Authors:   Kherson National Technical University, Durman Olena , Khmelnytska Mariia ,   Kherson National Technical University
Published: July 2022

The article is devoted to revealing the need to introduce "digital" technologies in all spheres of life, including public administration, in modern conditions of effective information society development, especially urgent during the Russian military aggression against Ukraine and full-scale invasion army of our northern neighbor's on Ukrainian territory. It is noted that one of the effective means of improving the quality of public administration is digitalization (digitalization) and its tools, which should be considered from an instrumental point of view as a mechanism used to improve public administration. It is described that the introduction of e-government in all spheres of life of Ukrainians is a priority of the Ministry of Digital Transformation of Ukraine, whose concept is to transform the state into an effective service that helps people and thanks to this Ukrainians received the application «Diia». It was found that «Diia.Signature» is a universal digital key in a smartphone that can sign documents online in a few clicks and is electronic data that ensures document integrity and identity. It was noted that after the beginning of the Russian invasion and after a large number of Ukrainian citizens were forced to leave their homes and businesses, the Ministry introduced new functionality, achieved through cooperation with relevant structures of other countries, primarily European. Namely, the documents posted on it will be available not only in Ukraine but also in Europe. In this case, accessibility will be understood not only as the possibility of their visualization for the relevant authorities or their officials abroad to verify the person, but also their legal recognition for the implementation of other actions. It is investigated that the Ukrainian government is constantly working on launching new registers of national information resources, developing and launching new administrative services and services even in times of war. And if the digitalization (digitalization) of public administration has previously begun in developed countries, then for our country we can note the rapid pace of its implementation.
MODELS OF DECISION-MAKING IN ECONOMIC PROCESSES AND PUBLIC MANAGEMENT
Authors:   Ternopil Ivan Puluj National Technical University, Markovych Iryna
Published: July 2022

The article shows that the development of the economy today clearly demonstrates the limitations of classical management theories, which are based on the rationality of decision-making, the provision of the subject of decision-making with full information about possible alternative options, as well as a clear understanding of the consequences of each of the possible alternatives. The difference between the algorithmic model (which involves the subject performing a certain sequence of actions, which is not necessarily understood, with a predicted result) and the heuristic behavioral model (which offers the subject a sequence of actions that is understandable to the subject without a guaranteed result) is shown. Features of classical, behavioral and irrational behavior models are also demonstrated. Information is provided on the most common heuristic methods of scientific research, which are: brainstorming (involves group thinking with the search for an optimal solution); method of multidimensional matrices (combination of individual elements of the research object based on chance); inversion method (finding a solution through the analysis of opposite characteristics). It was concluded that given the limitations of the theory of rational choice, decision-making processes are complicated by the vagueness of the criteria by which decisions are made. That is, it is increasingly possible to see atypicality in the identification of such criteria, which is complicated by cognitive biases that are formed in the decision-making subject. Regulation of behavioral models of economic subjects is a complex task, which involves the creation of such an institutional framework, which will take into account the peculiarities of the tendency to irrationality, cognitive limitations and prejudices. It was found that the top-level managers are increasingly using the tools of the so-called "pushing" of the managed system, which can be implemented according to several conventional versions: asymmetric paternalism, light paternalism, and libertarian paternalism.
STUDY OF VANADIUM PRECIPITATION FROM ACID SOLUTIONS BY AMMONIUM NITRATE
Authors: Шаникова П.В. , Сажина М.М. , Данилов Н.Ф. , Перевозчикова Е.А.
Published: July 2022

В статье рассмотрен процесс извлечения ванадиевых соединений из кислых растворов, полученных в ходе промышленной переработки ванадийсодержащего сырья по содовой технологии с недостатком натрия от стехиометрии, с использованием аммонийной соли – нитрата аммония. В результате проведения данного процесса образуется ванадат аммония, из которого возможно получать чистый пентаоксид диванадия путем высокотемпературного прокаливания. Проведены эксперименты с предварительной очисткой раствора от примесных соединений и без очистки раствора. Данное исследование направлено на определение оптимальных параметров процесса извлечения ванадия из ванадийсодержащего раствора нитратом аммония.

The paper considers the process of vanadium compounds extraction from acid solutions obtained during industrial vanadium-containing slags processing using ammonium salt - ammonium nitrate. This process produces ammonium vanadate which could be roasted at high temperatures to obtain pure diwanadium. Experiments were carried out with and without pre-treatment of the solution from impurity compounds. This study determined the optimum parameters of the process of vanadium extraction from vanadium-containing solution by ammonium nitrate.
Et la figure va en s’amenuisant
Authors: Massaert Lucien
Published: July 2022

Un des enjeux de la sémiotique des arts plastiques nous semble être, aujourd’hui, de forger des outils lui permettant de se distinguer, dans sa pratique, des approches de l’histoire de l’art, tout en s’en nourrissant et en l’éclairant en retour. Au nombre de ces outils, nous comptons la figure, le geste, le processus, le protocole, le rythme… à condition de reconstruire ces concepts à nouveaux frais dans une optique morphodynamique et ce en vue de mettre au jour le sens à partir de la structure de l’œuvre et non selon une approche descriptive.Dans cette optique, nous nous proposons ici de dégager le rôle de la figure du retournement, successivement dans les œuvres de Rubens, Picasso et Duchamp, en montrant la mutation de son rôle structural par-delà les contextes historiques, les modifications des pratiques et la diversité des médiums.
Un dialogo fra il Beato Angelico e Giulio Paolini
Authors: Corrain Lucia
Published: July 2022

Il contributo si focalizza sull’installazione che nel 2022 Giulio Paolini ha realizzato all’interno del convento di San Marco a Firenze. In una cella del dormitorio, affrescata dal Beato Angelico tra il 1440-1442 con la scena evangelica del Noli me tangere, Paolini ha collocato su un cavalletto bianco un suo collage. L’opera dell’artista contemporaneo, che porta lo stesso titolo di quella del grande pittore del primo Rinascimento, entra così in un raffinato rapporto di dialogo e di risonanze che l’analisi qui proposta cerca di mettere in luce passo a passo, avvalendosi di una metodologia semiotica di indagine che si avvale di lunghi tempi di osservazione. Il Noli me tangere di Paolini, fondato sullo stato passionale che l’artista prova di fronte all’affresco dell’Angelico, diviene così un invito per lo stesso spettatore a provare un analogo senso di coinvolgimento e di meraviglia.
Entretien avec Francis Édeline
Authors: Caliandro Stefania
Published: July 2022

Né en 1930, de formation scientifique (biochimiste), Francis Édeline est membre fondateur du Groupe μ, professeur honoraire à l’Université de Liège, auteur et coauteur de très nombreux essais en sémiotique, sémiotique visuelle et en rhétorique générale et de la poésie. Cet entretien par voie épistolaire, rédigé entre le printemps et l’été 2021, puis revu avant publication, donne un aperçu de son parcours, de ses multiples intérêts, de certaines questions de fond qui animent son travail sémiotique et scientifique, mais aussi de son activité dans la création artistique. Il y réfléchit notamment à la sémiotique de l’art, aux relations de celle-ci avec d’autres champs d’étude (sémiotique visuelle et de l’image, psychologie de la perception, neurosciences), aux résultats et aux défis à relever pour mieux saisir comment une sémiotique de l’art peut s’intégrer dans une théorie de plus vaste étendue.
Wunderbare Kombinationen. Figurabilité des guerres du Golfe chez Gerhard Richter et Werner Herzog
Authors: Mengoni Angela
Published: July 2022

La première et la deuxième guerre du Golfe font partie des interventions militaires « préventives » typiques de l’État d’exception, qui trouvent leur légitimité dans la perception partagée d’une menace et d’un risque imminents. À dix ans d’intervalle, Gerhard Richter et Werner Herzog se confrontent à ces événements. Le premier avec le livre War Cut (2003), dans lequel il assemble des extraits de journaux sur la guerre et des détails d’une de ses peintures abstraites ; le second avec le film Leçons de ténèbres (Lektionen in Finsternis 1992), dans lequel il explore le paysage du Koweït dévasté par des puits de pétrole en feu, mais accompagne les images d’un texte apocalyptique qui ne fait aucune référence explicite au conflit. L’article discute et réfute les accusations d’« esthétisation de la guerre » portées par certains critiques à l’encontre de ces œuvres et montre comment elles témoignent au contraire d’aspects spécifiques de ces conflits. En particulier, à travers une focalisation sur l’émergence de la figurativité ou sur son érosion, elles réfléchissent aux stratégies médiatiques de production du risque, ou à l’impact traumatique du conflit sur la population civile.
Deutsche Varietäten in Internetkorpora – eine kleine Entwicklungsgeschichte
Authors: Bickel Hans
Published: July 2022

The starting point for this article is the research on the dictionary Variantenwörter-buch des Deutschen, which was done between 1998 and 2004 at the Universities of Basel, Duisburg and Innsbruck. This dictionary contains all known national and regio-nal variants of the German standard language. During the research work it became clear that the identification of such variants needed an empirical validation. Since still no useful linguistic corpora of the German language existed at that time, experi-ments with Internet search engines were made, first with AltaVista, later also with Google. Thanks to the frequency numbers given in the search results, it was possible to get reliable hints for national variation. Today the situation has changed. Useful linguistic corpora are now available. In this paper, it is shown on the one hand that the results of the web search engines became less reliable over the time, on the other hand that still no well-structured corpus exists, which satisfies all needs of the re-search on national variants.
Vergleichbarkeit von sprachstatistischen Messungen
Authors: Quasthoff Uwe , Eckart Thomas
Published: July 2022

The quality of a measurement can be described by a specification of the process creating the result and by inspection of the result. In the case of inspection, an exact measurement of previously specified parameters ensures compatibility of different measurements performed by different researchers on similar objects. The compa-rison of different measured values requires an exact description of the measuring process.
Today, even simple measurements like the size of a corpus measured by the number of tokens or the average sentence length measured in words are not comparable. Therefore a more standardized way of corpus measurement is strongly needed.
Möchten ist nicht mögen: ein siebtes Modalverb im Deutschen
Authors: Näf Anton
Published: July 2022

This paper argues that in present-day German, the form möchten should no longer be considered and classified as the conjunctive II-form of mögen, but rather as the infinitive of a distinct modal verb möchten. With evidence taken from corpus linguistic investigations, it is shown that the two modal verbs have split in contemporary German on the morphological, semantic and pragmatic levels. In German grammars, möchten should therefore figure as a distinct seventh modal verb, and monolingual and bilingual dictionaries should provide two separate entries for mögen and möchten.
Notes de recheche sur l'accentuation et le phrasé prosodique à la lumière des corpus de français
Authors: Avanzi Mathieu
Published: July 2022

In this paper the main rules for stress assignment in French, the constraints relative to the formation of minor prosodic units (Accentual Phrases) and major prosodic units (Intonational Phrases, IP) are first recalled. A procedure developed in order to annotate semi-automatically these phenomena in different French corpora is then described. Finally the results of two studies are presented. The first one is conducted on a 4-hour long corpus (designed for the statistical study of regional variation in Swiss French). It aims at testing the robustness of two phonological rules implicated in the formation of Accentual Phrase in French (deaccentuation of pre-nominal adjectives (a sequel to the Align-XHead constraint), accentual clash avoidance rule). The second summarizes the main results obtained in the author’s PhD thesis (Avanzi, 2012). It is conducted on a set of data containing approximately 800 dislocated-sentences. It questions the weight of syntactic and information structure cues in front of prosodic structure cues in order to identify Intonational Phrase boundaries.