bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of Unmanned Aerial Vehicle (UAV) for Slope Mapping
Authors: Zolkepli M.F. , Ishak M.F. , Zolfan F.N.A , Yusoff N.S. , Daud S. , Mohd Zin N.S.
Published: June 2023

This paper discusses the applications of unmanned aerial vehicle (UAV) for slope mapping and its important parameters including perimeter, area and volume of certain selected areas at Perumahan Taman Gambang Damai in Kuantan Pahang. This study also focused on determining the potential slope hazard based on slope angle. Modern UAV able to take high quality image which essential for the effectiveness and nature of normal mapping output such as Digital Elevation Model (DEM) and Digital Orthophoto. This photo captured by the UAV will later transfer to Agisoft to generate full map of study area. With the help of Global Mapper, the measurement (perimeter, area and volume) of selected study areas can be determined easily and considered as the main interest in this study. In addition, another outcome of this study is, this modern method of mapping helps researchers and engineers to study the possibility of slope hazard based on their respective slope angle (according to slope classes). In conclusion, modern technology of UAV proves to be very effective for mapping in geotechnical engineering. Slope mapping help researchers and engineers to obtain slope measurement within short period of time compare to previous traditional method.
Correlation Investigation of Odour-Profile and Temperature Intensity
Authors: Ibrahim Muhammad Naqiuddin Ali , Najib Muhammad Sharfi , Daud Suhaimi Mohd
Published: June 2023

Water is important to all human and economic activity. Despite its abundant water resources, Malaysia's water demand and consumption was increased in recent years. This study had been investigating the condition of Malaysia's water resources at present. This study aims to identify water by examining its odour profile and temperature intensity. E-Anfun E-nose was applied to generate a pattern of the volatile compounds included in the samples. The optimal correlation was discovered between odour feature extractions from many samples produced using the same E-Anfun unit. An intelligent algorithm namely Case-Based Reasoning (CBR) was employed to detect the odour of different national standard tap water samples. CBR has produced measurable performance of 100% classification rate of accuracy
Logistic Regression Approach In Studying Travel Demand During Morning Peak Hour: A Case Study In Klang Komuter Station, Malaysia
Authors: Mohd Ali Nur Fahriza , Mohd Sadullah Ahmad Farhan , Zulkiple Adnan
Published: June 2023

This paper develops a Stated Preference (SP) experiment that provides a  way to measure users’ travel demand in public transport. This paper introduces an empirical procedure for optimising the SP experiment. This procedure permits the  identification of the choice alternatives defining the experiment by simulating the  choices of a user sample. By using the data collected from a survey, a Logit model  was calibrated. This model is a way of identifying the importance of service quality  attributes on global users’ satisfaction which provides an operationally appealing  measure of current or potential service effectiveness. The result shows that out-ofvehicle time gives a great impact towards users’ mode choice
Dimensi Kekontekstualan Materi Buku Basa Jawa Trampil ing Basa Trapsila ing Bawa
Authors: Pradipta Cindya Chandra , Fuadhiyah Ucik , Mujimin Mujimin
Published: June 2023

Textbooks must comply with the BSNP assessment criteria, one of which is the contextual dimension. Overall, the Javanese language textbook entitled Basa Jawa Trampil ing Basa Trapsila ing Bawa which is used in SMP Negeri 1 Ngawi was not in accordance with the real-life context in Ngawi Regency. This study aims to describe the contextual form of the material in the Basa Jawa Trampil ing Basa Trapsila ing Bawa textbook. A descriptive qualitative approach is used as a research approach. The data collection technique is reading, sorting, and note-taking techniques. The source of the research data was Basa Jawa Trampil ing Basa Trapsila ing Bawa textbook. The research instrument used data cards. The data validation technique used triangulation of data sources. Based on the results of the contextual analysis of place and environment, the six materials contained in the book are in accordance with the benchmarks for the contextuality of place and environment and found 21 data in the form of one picture and 20 quotes. In the contextual context, five pieces of data were found in the form of four quotations and one picture, while in the environmental context, that divided into three spheres; the personal sphere (six quotations), the social sphere (six quotations), and the cultural sphere (four quotations). It is sufficient to say that this book is contextually based on Ngawi Regency because it provides various materials that are in accordance with the contextual indicators of place and environment materials.
Analisis Komunikasi Siswa Kelas 6 SD Dalam Mengimplementasikan Muatan Lokal Materi Unggah-Ungguh Basa Jawa
Authors: Biantara Dela Oktisusila , Thohir M. Anas
Published: June 2023

The existence of Javanese language learning in the era of modern technology among the younger generation is starting to decline. Considering the Javanese language is a learning that does not only emphasize language and culture learning but as an effort to preserve culture, one of which is uploading the Javanese language. The purpose of this research is to analyze the understanding and implementation of the Javanese language variety upload material when communicating with other people. With this research, it is hoped that the obstacles experienced during the Javanese language learning process can be overcome. This research uses a qualitative method with a case study approach involving a Javanese language teacher and 50 students from two elementary schools. Sources of data from interviews, questionnaires, and written exams for students. The data were analyzed using the analytical model of Milles and Huberman starting from the collection, reduction, and presentation of data, and drawing conclusions. The results showed that the factors causing the decline in the existence of the Javanese language among elementary school students were due to the lack of precise teaching methods for subject teachers, the social environment of children, and the absence of proper habituation of Javanese language children in the family. Based on the results of the questionnaire sheet, it was found that students had difficulty in distinguishing various Javanese languages ​​such as ngoko, krama, and krama inggil. Students tend to generalize the use of Javanese for parents, teachers, and friends when communicating.
Pengembangan Media Jenga Aksara Jawa dalam Pembelajaran Membaca dan Menulis Teks Berhuruf Jawa
Authors: Rinata Septian , Yuwono Agus , Insani Nur Hanifah
Published: June 2023

Abstract

There was no development of Javanese script learning media impacted with the less interesting and ineffective learning process so that students have difficulty in understanding Javanese script material. This study aimed to describe the students and teachers’ needs for Javanese script learning media, describe the prototype of the Javanese script Jenga media, and describe the results of the validation of media and material experts on the Javanese script Jenga media. The method of this study used Research and Development. Then, in collecting data this study used interview and questionnaire techniques. The data collected were analyzed using descriptive qualitative and quantitative descriptive analysis techniques. Based on the results of this study, it can be seen that students and teachers need an interesting and effective learning media to help them easier in understanding Javanese script material. The prototype of the Javanese Script Jenga media consists of a media box, Javanese Script Jenga wooden block, cards and their boxs, dice, blackboard, markers, students’ guidebook, and teacher's manual handout with practice questions and answer keys. Based on the assessment result, Jenga Aksara Jawa media prototype obtained an assessment percentage of 80% from media experts and 77.6% from material experts. Expert validators also provided suggestions and input that can be received into consideration by researchers to improve the Javanese script Jenga media prototype shortcomings. Therefore, this Javanese script media is proper to be used as a learning media with improvements according to the suggestions.
The Impacts of Urban Environment Aspects on The Life Satisfaction of Older Adults
Authors: Bayar Rümeysa , Türkoğlu Handan
Published: June 2023

Ageing comes with several discomforts such as a decline in mobility and losses in social networks as well as societal roles. Therefore, improving the life satisfaction of older adults has become a significant policy focus for delivering age-friendliness in national and international movements in the living environment. The hypothesis of the current study is that older people, who live in urban neighbourhoods that provide safe, aesthetic and accessible environments, experience greater life satisfaction. Accessibility, attractiveness and attachment as the three key dimensions of life satisfaction were used to understand the key aspects of the life satisfaction of older people in the neighbourhoods and how the urban environment serves as an indicator. This research consists of two steps. The first step involved in-depth interviews with the older adults aged over 65 in different urban areas, the district of Fatih and Şişli in the city of Istanbul, Turkey, with sampling based on the diversity, heterogeneity and urban functions. Second, these urban areas were analysed using space syntax to understand the street network and connectivity to reveal the urban structure. The qualitative and quantitative findings were analysed comparatively. The study concluded that when attachment to the place is supported by walkability and psychical enticing, the older adults experience a higher level of life satisfaction. Additionally, financial independence serves as a backup solution to access a better environment. This comparative analysis also highlights a mixed method for policymakers to analyse the urban environment and makes room for older adults to raise their voices and participate in the policy and planning process.
EDUCATIONAL LACK OF WOMEN IN OKKY MADASARI’S ENTROK
Authors: Rahmawati Nurul , Nurrachman Dian
Published: June 2023

This research is aims to know how educational lack of women in the novel entitled Entrok by Okky Madasari. Entrok is a novel by Okky Madasari which contains various issues, one of which is the issue of feminism. This novel also shows life in old tradition in a village where everything is far from modern, where women are completely blocked by the tyranny of men and labeled as 'weak'. The theory used in this research is theory feminism by Mary Wollstonecraft. And the result showed that not everyone can get an education, like Sumarni and Simbok in this Entrok novel. And more than that, the position of a woman when she does not have an educational background, she will be increasingly under men and make her have a 'weak character'. This be accordance with Mary Wollstonecraft, she expressed her view that the 'weakness' of women is due to the lack of education that women get and women's pleasure in reading or watching picisan. So that makes women put their feelings first.
THE NOVELTY OF PLOT IN LEILA S CHUDORI'S PULANG
Authors: Kusaeri Viona Gita
Published: June 2023

Literary works are built from the harmony of intrinsic elements such as theme, plot, characterization, setting, point of view, style, and mandate. Plot is one of the crucial elements in a story which can combine all the elements in a story to become harmonious. From the plot, we can know the events of the character’s characteristics and the conflicts faced by the story. It can clearly describe the storyline that wants to create by the writer. Pulang by Leila S Chudori is one of the novels that have a unique plot which is created from the letter’s media. The new way of conveying the plot is called novelty.  The novelty is created for avoiding monotony in a story. Every stage of plot such as exposition, inciting moment, rising action, conflict/climax, falling action and denonement can be made to make a surprise so that the reader feels interested and curious about the next stage of plot. This is what Leila does to build her plot more interesting and unique. Leila in Pulang uses a regressive plot because the sequence of events told in fiction is not chronological, the story starts from the middle stage when Dimas Suryo is already in Paris. Besides the letter media that Leila uses in the story, she also used novelty for the renewal of the written media based on the developments of electronic media from 1965-1998. Through this kind of novelty, Leila succeeds in getting the reader to be influenced by Indonesia’s dark history which is written from a different perspective.
Prossumindo Experiências Hedônicas: Um Posicionamento Subjetivante por meio de Máquinas Desejantes
Authors: Moura Bruno Melo , De Souza-Leão André Luiz Maranhão
Published: June 2023

O fenômeno do prossumo tem sido cada vez mais investigado. Ao atuar de forma produtiva, os consumidores cocriam suas experiências próprias experiências de consumo. O que determina quão extraordinária ou memorável é uma experiência de consumo é o arranjo subjetivo em que o consumidor considera diversos aspectos hedônicos. Assim, articulamos a concepção foucaultiana de subjetivação com a noção de maquinaria de desejos de Deleuze e Guattari, para refletir sobre como o prossumo de experiências hedônicas produzem subjetividades por meio de máquinas desejantes. Para tal, delineamos a prática prossumerista a partir de sua perspectiva enquanto uma produção de experiência hedônica. Na sequência, discutimos a subjetivação como um processo de experiência desejante, a partir da teoria foucaultiana e de sua articulação com o conceito de máquinas desejantes de Deleuze e Guattari. Com isso, propomos que o prossumo de experiências hedônicas seja um agenciamento desejoso que produz subjetividades.
Atributos Empresariais e a Qualidade Informacional dos Relatórios Financeiros em Empresas Brasileiras
Authors: Freire Maria Macileya Azevedo , De Luca Márcia Martins Mendes , Vasconcelos Alessandra Carvalho de , Cunha Jacqueline Veneroso Alves da
Published: June 2023

Com objetivo de investigar a influência dos atributos empresariais na qualidade da informação dos relatórios financeiros em companhias brasileiras, realizou-se uma pesquisa descritiva junto a 407 empresas listadas na B3, aplicando-se ferramentas estatísticas para o tratamento dos dados. Foram estudados os atributos governança corporativa, internacionalização e desempenho das companhias da amostra, sendo a qualidade da informação representada pela republicação dos seus demonstrativos financeiros, considerando-se que essa prática sinaliza menos qualidade da informação inicialmente divulgada. Os resultados evidenciaram que não há influência dos atributos empresariais em estudo na qualidade da informação pela ótica da republicação de demonstrações financeiras. Ao se analisarindividualmente as variáveis que compõem o índice de governança utilizado, observou-se a influência positiva da variável “política de divulgação” na republicação de demonstrativos. No que diz respeito à internacionalização, verificou-se que o número de bolsas de valores em que a empresa se encontra listada influencia positivamente a republicação das demonstrações financeiras. Não foi identificada influência do desempenho empresarial na qualidade informacional dos relatórios financeiros.
Treinou, pontuou! o forte da academia é o cliente
Authors: Leal Janayna Souto , Costa Laura Maria Aguiar , Soares Neto João Batista , Mayer Rodolpho Sobreira
Published: June 2023

O caso objetiva apresentar elementos determinantes relativos ao gerenciamento de clientes no intuito de revitalizar a imagem da academia STRONG. Além disso, procura apontar como estratégias ambientais referentes ao posicionamento da empresa auxiliam no combate ao crescimento e ascensão dos concorrentes. O enredo, puramente fictício, baseou-se em dados secundários obtidos mediante pesquisas em sites e mídias sociais de academias, reportagens e dados divulgados pela imprensa, e por dados primários com entrevistas a gestores e alunos de academias e com observação direta. A sua interdisciplinaridade contempla as áreas de Gestão de Relacionamento com os Clientes (CRM) e Estratégias de Marketing.
Estudo dos Fatores que Influenciam os Jovens na Compra de Produtos Eletrônicos pela Internet
Authors: Silva Jennifer Rubia Rodrigues , Pellizzoni Lívia Nogueira , Nodari Cristine Hermann
Published: June 2023

Considerando o crescente aumento na compra de eletrônicos via internet pelo público jovem, o presente artigo teve por objetivo geral identificar os fatores que mais influenciam os jovens a comprar eletrônicos pela internet. Para isso, o trabalho contou com metodologia quantitativa, por meio da aplicação da escala e-Transqual. A partir dos dados coletados por meio do compartilhamento de um questionário online, foram extraídas análises descritivas com medidas de dispersão, posição e forma bem como a extração de tabelas cruzadas para identificar pontos de relação entre o perfil dos jovens e os fatores influneciadores. A partir das análises foi possível perceber que os fatores que mais influenciam são: confiabilidade, processo e capacidade de resposta. Os resultados obtidos podem ser úteis para o desenvolvimento de estratégias gerenciais que direcioem ações voltadas para ampliar a comunicação com o consumidore e respaldar os indicativos de confiabilidade das plataformas utilizadas, bem como dos processos de transações.
Evaluation of the Visual Comfort and Daylight Performance of the Visual Art Classrooms
Authors:   Department of Architecture, Faculty of Architecture and Engineering, Epoka University, Tirana, Albania, Yunitsyna Anna , Toska Amadea ,   Department of Architecture, Faculty of Architecture and Engineering, Epoka University, Tirana, Albania
Published: June 2023

The daylight in classrooms is a crucial aspect that affects the quality of the learning environment and the overall performance of the students. Visual arts, such as painting, sculpture, carving, textile design and photography, require specific lighting conditions, which are different from the regular classroom standards. Due to the limited number of studies in this area, it is necessary to examine the specificities of different types of visual arts and to provide specific design guidelines for lighting enhancement. This study focuses on the evaluation of the daylight performance of the classrooms of the “Jordan Misja” art school located in Tirana, Albania. The research methodology begins with the site survey and observations. Ten art studios are selected, including painting, sculpture, scenography, photography, textiles, carving, drawing, and mixed arts. Further, computational simulations including the illuminance, daylight factor and the glare are conducted in order to evaluate the daylight performance. The daylight satisfaction survey is focused on the visual comfort, glare, usage of artificial light and light control strategies. Based on that, the generalized standards for the arts and crafts studios are revised and specific design strategies and daylight control guidelines are suggested for different types of arts.
Mapping the social aspect of GSCM and SSCM: a future research agenda proposal
Authors: Delgado Fernanda Martinez , De Aragão Claudia Gomes , Teixeira Adriano Alves , Bezerra Barbara Stolte
Published: June 2023

Purpose – Identify how the social dimension is investigated in GSCM and SSCM research and propose a research agenda to integrate the social dimension in GSCM and SSCM.
Theoretical framework – The study deals with the social aspect of the triple bottom line, a theory devised by John Elkington, to identify how the topic is treated in GSCM AND SSCM research.
 Design/methodology/approach – This study adopted a systematic review of the literature approach to examine the literature that integrates GSCM and the SSCM with a focus on the social aspect, based on criteria and an analysis of published studies adapted from Tranfield et al. (2003).
Findings - The study contains a summary of the papers found and a categorization that defines the state-of-the-art approach to the subject. The analysis supports the fact that China, India, and European countries carry out most of the investigation and produce GSCM and SSCM articles, observing the social aspect in their releases. Quantitative studies explore sustainability in the economic, environmental, and social tripod together. Research in social performance is not yet specialized and measuring this type of performance in an organization is very complex. Studies that address social issues are scarce, and there are still many gaps to be filled in the investigation of the social dimension in GSCM and SSCM.
Research, Practical & Social implications – As theoretical implications, the study presents a delimitation of the state-of-the-art approach on social issues when GSCM AND SSCM themes are worked together. For practical and managerial implications, it serves as a guide for consulting the best social practices to be adopted by companies.
Originality/value – The study works on the social aspect between GSCM and SSCM themes together, and studies that deal with social issues are scarce, contributing to the business management area.
Keywords - GSCM, SSCM, Sustainability, Social performance, Social issues, Social aspects.
The Complex of Metal Objects from the First Turkic Khaganate Period from the Beslan Burial Ground (North Ossetia)
Authors:   Institute of Archaeology of the Russian Academy of Sciences, Gavritukhin Igor
Published: June 2023

The article discusses metal finds from the burial 1 under the kurgan 876 of the Beslan kurgan catacomb burial ground which are suitable for reconstructing the appearance of the objects. The results of these kurgan excavations are presented in the same issue of the Journal by D.S. Korobov and V.Yu. Malashev; this article is an analytical appendix to their research paper. Small hollow B-shaped buckles with a fixed plate in the form of a “heraldic shield” with side notches are divided into five blocks of variants. The author has presented their catalog, map, and basis for dating. The buckles from Beslan are a synthesis of Eastern European and Byzantine traditions, their closest analogue is found in Karshi-Bair (Southwestern Crimea) and is dated from about the mid – 3rd quarter of the 6th century AD. Other close analogies are indicative mainly for the second half of the 6th – early 7th century. The flat four-petal belt mounts with beveled edges are divided into three blocks of variants. Their catalog and map are presented, the evolution in time and area are considered, taking into account mounts of similar shapes. The Beslan belt mounts belong to the block of variants 2 formed in the Lower Kama basin or in the zone that includes this region. Their emergence in the North Caucasus is connected with the establishment of the control of the First Turkic Khaganate here between 569 and 576. The distribution of similar objects in a number of regions is explained by the involvement of local troops in the military actions of the Turks. For the sedentary population, this also marks the distribution of early versions of pseudo-buckles. Three fragments from Beslan are interpreted as strap-ends imitating expensive products decorated with inserts and grains. The spring with a bowstring and a needle on a T-shaped stand belonged to a fibula, most likely double-plate characteristic of the North Caucasus in the mid-5th – 6th / first half 7th century AD. The complex 876 of the Beslan kurgan catacomb burial ground, as well as a number of other complexes from the North Caucasus, dating to about the 3rd third 6th – early 7th century, are indicators of the First Turkic Khaganate period in the history of the Alans and other peoples of the North Caucasus.
Zuun Hyaryn Denj 1 Burial Ground of the 11th – 13th Centuries from the Northern Shore of Lake Khubsugul (Mongolia)
Authors:   Irkutsk National Research Technical University, Kharinskii Artur , Samdantsoodol Orgilbayar ,   Ulaanbaatar State University, Korostelev Aleksei ,   Irkutsk National Research Technical University, Erdenebaatar Dimaadjav ,   Ulaanbaatar State University, Portniagin Matvei ,   Irkutsk National Research Technical University
Published: June 2023

The article presents the results of a study of three burials of the Zuun hyaryn denzh 1 burial ground. It is located in Mongolia, on the northern shore of Lake Khubsugul, in the northeastern part of the village of Turt. The burial materials allow us to outline some stages of the cultural and chronological scheme of the history of the coast of Lake Khubsugul. When creating it, the features of the grave structure, the position of the deceased and the accompanying inventory were taken into account, which correlated with a certain time period. The materials of complexes 1, 2 and 9, the last of which was destroyed in ancient times, are considered. Information is given about the funerary structures, the position of the human skeleton, accompanying inventory and animal bones in them. Radiocarbon dates were obtained for two undisturbed burials. Mid-11th – mid-12th centuries is the construction time of complex 1, whereas late 12th – mid-13th is construction period of complex 2 which are the pre-imperial and the beginning of the imperial period of the history of Mongolia. It should be noted that these burials represent two funeral traditions, replacing one another. They are characterized by the location of the deceased elongated, on their backs in grave pits, which were overlapped from above with flat round-shaped masonry. Fragments of wooden boards and birch bark were found under and above the bones. Together with the deceased, parts of the carcass of a ram were placed in the grave. Most often it was the shin and loin of an animal. In complex 1, an iron arrowhead and a weapon tip with a shaft “palma” were found; in complex 2, iron stirrups, a quiver hook, a buckle, and a birch bark tuesok were found. It is concluded that in earlier burials, the deceased are oriented with their heads to the north and northeast, in later ones – to the northwest.
11th All-Russian Scientific Conference “Problems of Sarmatian Archaeology and History”
Authors:   Volgograd State University, Krivosheev Mikhail , Kovaleva Kseniya ,   Volgograd State University, Moiseev Vladimir ,   Volgograd State University, Dyachenko Alexander ,   Volgograd State University
Published: June 2023

The article summarizes the results of the All-Russian Scientific Conference with International Participation “Problems of Sarmatian Archeology and History” dedicated to the memory of Prof. Anatoly S. Skripkin. The leading theme of the conference is “Chronology and periodization of the Sauromat and Sarmatian cultures: Regional features”. The conference was held in Volgograd in May 2023 on the base of Volgograd State University.
IMPACT OF CLIMATE CHANGE ON THE SUGAR CANE IRRIGATION WATER DEMAND IN THE GRAMAME RIVER WATERSHED
Authors: Meira Yasmim Cristina Leiros , Barros Rafael Carneiro de Souza
Published: June 2023

Climate change is a recurring theme as it impacts various sectors of society, including water resources, reflecting directly on human beings' activities. In this context, the objective of this study was to assess the impacts produced by climate change on the sugarcane water demands for irrigation in four municipalities within the Gramame River watershed. For this, the irrigation water demand was estimated from the calculation of the evapotranspiration of the sugarcane culture. The temperature data used in these estimates were obtained from the projections of three Regional Circulation Models: ICHEC-EC-EARTH-RCA4, MPI-ESM-LR-RCA4, and MPI-ESM-LR-REMO2009 taken from the Coordinated Regional Climate Downscaling (CORDEX). These demands were estimated for two intervals of years (2006-2037 and 2038-2069) and for two greenhouse gas emission scenarios, RCP 4.5 and RCP 8.5. The patterns of the temperature projections of the three models were evaluated and corrected in order to reduce uncertainties. The results indicate that the MPI-ESM-LR-REMO2009 model was the one that best represented the temperature in the current climate (1961-2005). Furthermore, the increase in temperature due to climate change affects irrigation water demand in the near future (2006-2037) with slight effects, and in the distant future (2038-2069) with stronger impacts.
Six-Day War 1967 in the Soviet propaganda media space
Authors:   Ural Federal University, Amirov Valery M.
Published: June 2023

The article, based on an analysis of the publications of the Soviet media, examines the problems of the functioning of propaganda ideologies in materials devoted to the Arab­Israeli armed conflict of 1967 (six­day war). In total, more than 500 materials were studied, selected during the period of hostilities and immediately after it, according to the keywords “Arab­Israeli conflict”, “war”, “aggression”, “Zionism”, “imperialism”. The theoretical basis of the study was represented by scientific publications by the Russian scientists on media propaganda, the use of ideologue by journalists in political texts. The scientific significance of the topic is updated by the mediatization of a special military operation in Ukraine, the appearance in the Russian media and blog space of a large number of propaganda media materials, the active use of ideologized vocabulary by journalists and bloggers to characterize and analyze various aspects of the armed conflict, and the improvement of media techniques for marking a political and military enemy.
Media Texts of Modern Youth Media: the Specifics of Building the “Addressee — Addressee” Relationship
Authors:   Derzavin Tambov State University, Khvorova Valeria A.
Published: June 2023

The article is devoted to the actual problem of the formation of a communicative culture among young people. In order to identify the specifics of building the “addressee — addressee” relationship, the study of media texts aimed at young media consumers is carried out. To achieve the research goal, the content of modern youth media “Marusya”, “Yangspace”, NR was studied based on the textual method. The paper presents the results of an in–depth analysis of the social media pages of youth representatives participating in the Tambov State University named after G. R. Derzhavin School of Development Derzhavinskills, the results of observation among students of grades 4–8 of the Tambov school and interviews with educators (school teachers and psychologists). In conclusion, the conclusions about the means of building the “addressee — addressee” relationship are presented: the predominance of the method of dialogization, the attraction to game realization as a form of dialogue with the audience, the strengthening of the impact of manipulative mechanisms and the leveling of ethical norms in the context of speech communication.
Literary and Tourist Project “OmskLiteraTur” as a Way to Preserve Cultural Tradition
Authors:   Omsk State Technical University, Avtyukhova Oksana V. , Solodovnikova Yulia R. ,   Omsk State Technical University
Published: June 2023

The article traces the tendency of correlation between the preservation of a stable cultural tradition and the process of popularization of the literary heritage of the Omsk region through creation of a website, creation of new excursions, and systematization of literary content. The analysis of the conducted research allowed us to make a conclusion about the importance of information promotion. The project “OmskLiteraTur” allowed to draw attention to the problem of preservation and promotion of cultural heritage. In the course of the study, an entrance test was conducted for knowledge of the Omsk literary heritage, a register of literary excursion objects was compiled, scenarios of literary video tours were developed, interviews were taken, etc. The main emphasis in the research project was placed on young people as participants of the project, as a promising audience for broadcasting cultural traditions of a literary nature. Based on the study of the literary creativity of the Omsk region, conclusions were dawn about the process of the relationship between translation and preservation.
Türkiye’s Export Analysis with Specific Reference to OECD Countries: 1982Q1 and 2021Q1
Authors: ALTINKAYA Zelha , AHMADİ ADLİ Kaveh , ŞENER Uğur
Published: June 2023

International economics is a field that primarily examines the liberalization of trade and its impact on a country’s gross domestic product (GDP). The trade policies in the World economy, specifically Türkiye as a developing economy, have experienced different cycles since the 1980s, and Türkiye has been following liberal trade policies in an attempt to overcome instabilities in its economy since 24 January 1980. In particular, the long-term, including, the 1994, 2001, 2018 currency crises in Türkiye, the 1997 Asia, the 2007-2009 global financial crisis, and the 2020-2022 Covid 19 global recession, further increases significance of the analysis. This article specifically explores the effects of neo-liberal trade policies on Türkiye and its primary export market, the OECD countries. In particular, the impact of changes in the OECD Countries’ GDP on Turkish exports is analyzed in relation to the Terms of Trade (TOT) and foreign exchange (FX) volatility of the Turkish Lira through Auto Regressive Distributed Lag (ARDL) method. The results reveal that Türkiye’s exports follow a statistically significant correlation with OECD’s GDP and FX volatility but not with the TOT for the period between 1982Q1 to 2021Q1. However, the lagged variables evaluated by the ADRL method indicate that five periods of lagging Turkish exports have a statistically significant relationship with two periods of lagging GDP of OECD, and one period of lagging FX, as well as with one period of lagging TOT. This article also offers valuable insights into the impact of exceptional events like COVID-19 pandemic on national economies, thus findings presented in this paper can help governments and policy makers predict potential implications of other extraordinary circumstances or global disasters and make informed decisions to mitigate their impact on the national economy. This is a long term analysis of neoliberal FX policies applied in Türkiye.
Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis
Authors: Wang Shanshan , Zeng Zhen , Yang Xun , Zhang Xingyi
Published: June 2023

Cognitive diagnosis is a fundamental yet critical research task in the field of intelligent education, which aims to discover the proficiency level of different students on specific knowledge concepts. Despite the effectiveness of existing efforts, previous methods always considered the mastery level on the whole students, so they still suffer from the Long Tail Effect. A large number of students who have sparse interaction records are usually wrongly diagnosed during inference. To relieve the situation, we proposed a Self-supervised Cognitive Diagnosis (SCD) framework which leverages the self-supervised manner to assist the graph-based cognitive diagnosis, then the performance on those students with sparse data can be improved. Specifically, we came up with a graph confusion method that drops edges under some special rules to generate different sparse views of the graph. By maximizing the cross-view consistency of node representations, our model could pay more attention on long-tailed students. Additionally, we proposed an importance-based view generation rule to improve the influence of long-tailed students. Extensive experiments on real-world datasets show the effectiveness of our approach, especially on the students with much sparser interaction records. Our code is available at https://github.com/zeng-zhen/SCD.
Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms
Authors: Zhang Jiyuan , Jia Shanshan , Yu Zhaofei , Huang Tiejun
Published: June 2023

Spike camera, a new type of neuromorphic visual sensor that imitates the sampling mechanism of the primate fovea, can capture photons and output 40000 Hz binary spike streams. Benefiting from the asynchronous sampling mechanism, the spike camera can record fast-moving objects and clear images can be recovered from the spike stream at any specified timestamps without motion blurring. Despite these, due to the dense time sequence information of the discrete spike stream, it is not easy to directly apply the existing algorithms of traditional cameras to the spike camera. Therefore, it is necessary and interesting to explore a universally effective representation of dense spike streams to better fit various network architectures. In this paper, we propose to mine temporal-robust features of spikes in time-frequency space with wavelet transforms. We present a novel Wavelet-Guided Spike Enhancing (WGSE) paradigm consisting of three consecutive steps: multi-level wavelet transform, CNN-based learnable module, and inverse wavelet transform. With the assistance of WGSE, the new streaming representation of spikes can be learned. We demonstrate the effectiveness of WGSE on two downstream tasks, achieving state-of-the-art performance on the image reconstruction task and getting considerable performance on semantic segmentation. Furthermore, We build a new spike-based synthesized dataset for semantic segmentation. Code and Datasets are available at https://github.com/Leozhangjiyuan/WGSE-SpikeCamera.
Parametric Surface Constrained Upsampler Network for Point Cloud
Authors: Cai Pingping , Wu Zhenyao , Wu Xinyi , Wang Song
Published: June 2023

Designing a point cloud upsampler, which aims to generate a clean and dense point cloud given a sparse point representation, is a fundamental and challenging problem in computer vision. A line of attempts achieves this goal by establishing a point-to-point mapping function via deep neural networks. However, these approaches are prone to produce outlier points due to the lack of explicit surface-level constraints. To solve this problem, we introduce a novel surface regularizer into the upsampler network by forcing the neural network to learn the underlying parametric surface represented by bicubic functions and rotation functions, where the new generated points are then constrained on the underlying surface. These designs are integrated into two different networks for two tasks that take advantages of upsampling layers -- point cloud upsampling and point cloud completion for evaluation. The state-of-the-art experimental results on both tasks demonstrate the effectiveness of the proposed method. The implementation code will be available at https://github.com/corecai163/PSCU.
KT-Net: Knowledge Transfer for Unpaired 3D Shape Completion
Authors: Cao Zhen , Zhang Wenxiao , Wen Xin , Dong Zhen , Liu Yu-Shen , Xiao Xiongwu , Yang Bisheng
Published: June 2023

Unpaired 3D object completion aims to predict a complete 3D shape from an incomplete input without knowing the correspondence between the complete and incomplete shapes. In this paper, we propose the novel KTNet to solve this task from the new perspective of knowledge transfer. KTNet elaborates a teacher-assistant-student network to establish multiple knowledge transfer processes. Specifically, the teacher network takes complete shape as input and learns the knowledge of complete shape. The student network takes the incomplete one as input and restores the corresponding complete shape. And the assistant modules not only help to transfer the knowledge of complete shape from the teacher to the student, but also judge the learning effect of the student network. As a result, KTNet makes use of a more comprehensive understanding to establish the geometric correspondence between complete and incomplete shapes in a perspective of knowledge transfer, which enables more detailed geometric inference for generating high-quality complete shapes. We conduct comprehensive experiments on several datasets, and the results show that our method outperforms previous methods of unpaired point cloud completion by a large margin. Code is available at https://github.com/a4152684/KT-Net.
Hierarchical Contrast for Unsupervised Skeleton-Based Action Representation Learning
Authors: Dong Jianfeng , Sun Shengkai , Liu Zhonglin , Chen Shujie , Liu Baolong , Wang Xun
Published: June 2023

This paper targets unsupervised skeleton-based action representation learning and proposes a new Hierarchical Contrast (HiCo) framework. Different from the existing contrastive-based solutions that typically represent an input skeleton sequence into instance-level features and perform contrast holistically, our proposed HiCo represents the input into multiple-level features and performs contrast in a hierarchical manner. Specifically, given a human skeleton sequence, we represent it into multiple feature vectors of different granularities from both temporal and spatial domains via sequence-to-sequence (S2S) encoders and unified downsampling modules. Besides, the hierarchical contrast is conducted in terms of four levels: instance level, domain level, clip level, and part level. Moreover, HiCo is orthogonal to the S2S encoder, which allows us to flexibly embrace state-of-the-art S2S encoders. Extensive experiments on four datasets, i.e., NTU-60, NTU-120, PKU-I and PKU-II, show that HiCo achieves a new state-of-the-art for unsupervised skeleton-based action representation learning in two downstream tasks including action recognition and retrieval, and its learned action representation is of good transferability. Besides, we also show that our framework is effective for semi-supervised skeleton-based action recognition. Our code is available at https://github.com/HuiGuanLab/HiCo.
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning
Authors: Dong Na , Zhang Yongqiang , Ding Mingli , Lee Gim Hee
Published: June 2023

Incremental few-shot object detection aims at detecting novel classes without forgetting knowledge of the base classes with only a few labeled training data from the novel classes. Most related prior works are on incremental object detection that rely on the availability of abundant training samples per novel class that substantially limits the scalability to real-world setting where novel data can be scarce. In this paper, we propose the Incremental-DETR that does incremental few-shot object detection via fine-tuning and self-supervised learning on the DETR object detector. To alleviate severe over-fitting with few novel class data, we first fine-tune the class-specific components of DETR with self-supervision from additional object proposals generated using Selective Search as pseudo labels. We further introduce an incremental few-shot fine-tuning strategy with knowledge distillation on the class-specific components of DETR to encourage the network in detecting novel classes without forgetting the base classes. Extensive experiments conducted on standard incremental object detection and incremental few-shot object detection settings show that our approach significantly outperforms state-of-the-art methods by a large margin. Our source code is available at https://github.com/dongnana777/Incremental-DETR.
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
Authors: Duan Yuxuan , Hong Yan , Niu Li , Zhang Liqing
Published: June 2023

The performances of defect inspection have been severely hindered by insufficient defect images in industries, which can be alleviated by generating more samples as data augmentation. We propose the first defect image generation method in the challenging few-shot cases. Given just a handful of defect images and relatively more defect-free ones, our goal is to augment the dataset with new defect images. Our method consists of two training stages. First, we train a data-efficient StyleGAN2 on defect-free images as the backbone. Second, we attach defect-aware residual blocks to the backbone, which learn to produce reasonable defect masks and accordingly manipulate the features within the masked regions by training the added modules on limited defect images. Extensive experiments on MVTec AD dataset not only validate the effectiveness of our method in generating realistic and diverse defect images, but also manifest the benefits it brings to downstream defect inspection tasks. Codes are available at https://github.com/Ldhlwh/DFMGAN.
Uncertainty-Aware Image Captioning
Authors: Fei Zhengcong , Fan Mingyuan , Zhu Li , Huang Junshi , Wei Xiaoming , Wei Xiaolin
Published: June 2023

It is well believed that the higher uncertainty in a word of the caption, the more inter-correlated context information is required to determine it. However, current image captioning methods usually consider the generation of all words in a sentence sequentially and equally. In this paper, we propose an uncertainty-aware image captioning framework, which parallelly and iteratively operates insertion of discontinuous candidate words between existing words from easy to difficult until converged. We hypothesize that high-uncertainty words in a sentence need more prior information to make a correct decision and should be produced at a later stage. The resulting non-autoregressive hierarchy makes the caption generation explainable and intuitive. Specifically, we utilize an image-conditioned bag-of-word model to measure the word uncertainty and apply a dynamic programming algorithm to construct the training pairs. During inference, we devise an uncertainty-adaptive parallel beam search technique that yields an empirically logarithmic time complexity. Extensive experiments on the MS COCO benchmark reveal that our approach outperforms the strong baseline and related methods on both captioning quality as well as decoding speed.
Weakly-Supervised Camouflaged Object Detection with Scribble Annotations
Authors: He Ruozhen , Dong Qihua , Lin Jiaying , W.H. Lau Rynson
Published: June 2023

Existing camouflaged object detection (COD) methods rely heavily on large-scale datasets with pixel-wise annotations. However, due to the ambiguous boundary, annotating camouflage objects pixel-wisely is very time-consuming and labor-intensive, taking ~60mins to label one image. In this paper, we propose the first weakly-supervised COD method, using scribble annotations as supervision. To achieve this, we first relabel 4,040 images in existing camouflaged object datasets with scribbles, which takes ~10s to label one image. As scribble annotations only describe the primary structure of objects without details, for the network to learn to localize the boundaries of camouflaged objects, we propose a novel consistency loss composed of two parts: a cross-view loss to attain reliable consistency over different images, and an inside-view loss to maintain consistency inside a single prediction map. Besides, we observe that humans use semantic information to segment regions near the boundaries of camouflaged objects. Hence, we further propose a feature-guided loss, which includes visual features directly extracted from images and semantically significant features captured by the model. Finally, we propose a novel network for COD via scribble learning on structural information and semantic relations. Our network has two novel modules: the local-context contrasted (LCC) module, which mimics visual inhibition to enhance image contrast/sharpness and expand the scribbles into potential camouflaged regions, and the logical semantic relation (LSR) module, which analyzes the semantic relation to determine the regions representing the camouflaged object. Experimental results show that our model outperforms relevant SOTA methods on three COD benchmarks with an average improvement of 11.0% on MAE, 3.2% on S-measure, 2.5% on E-measure, and 4.4% on weighted F-measure.