bluuebunny/crossref_metadata_2025 huggingface dataset:
The 1984 uprising in Nador: more than just a bread revolt
Authors: Suárez-Collado Ángela
Published: June 2023

This article analyzes the origin, evolution, and consequences of the 1984 uprising in the case of Nador province, in the Rif region of Northern Morocco. By focusing on the structural causes that affected this mobilization at the local level, the sectors of the population that participated in it, and the framework of the demands expressed during the protest cycle, this study finds that not only the economic constraints, but also the peripheral situation of the region and its weak integration into the structure of the state constitute explicative factors of the outbreak of this revolt in the Rif.
La gestión de la crisis humanitaria y la movilización social: Ascenso y declive de la nueva elite rifeña en longue durée
Authors: Aarab Rachid
Published: June 2023

Este artículo examina la respuesta de la población, las élites y el régimen marroquí a la crisis humanitaria generada por el terremoto de 2004 en la provincia de Alhucemas, en la región del Rif. El estudio revela que las reacciones de los actores dependieron de su posición en la estructura de poder y de los recursos de que disponían. La movilización y la protesta de la población y las élites locales tuvieron características y desarrollos diversos, con distintos niveles de negociación que oscilaron entre la flexibilidad y el radicalismo. La respuesta del régimen marroquí a la crisis humanitaria y a las demandas de los actores locales condujo a una estrategia de reposicionamiento en el Rif mediante la inclusión de una nueva élite rifeña en el círculo del poder, como fuerza intermediaria entre el Rif y el Estado. El trabajo comienza adentrándose, desde la perspectiva de longue durée, en el origen del ascenso de la élite activista en la nueva estructura de poder, y acaba analizando cómo se gesta un declive gradual que resulta en la fragmentación acaecida tras el estallido de las protestas sociales en el Rif en 2017. La marginación histórica del Estado y su enfrentamiento con el Rif han sido elementos clave para los actores locales a la hora de movilizarse y protestar contra la mala gestión de la crisis humanitaria.
Importancia de la Digitalización Docente para una Educación Inclusiva, Crítica y Equitativa
Authors: López Bueno Helena , Val Sonia , Gaeta González Martha Leticia
Published: June 2023

En la sociedad actual, las competencias digitales del profesorado desempeñan un papel fundamental para guiar a los alumnos en la adquisición de habilidades y destrezas, no sólo en el terreno de las nuevas tecnologías, sino como medio para compensar desigualdades y tender hacia una educación más equitativa. La formación del profesorado y el desarrollo profesional específico y continuo son esenciales para mejorar la enseñanza y el aprendizaje de las nuevas generaciones, preparándolas para los nuevos escenarios sociales y laborales. Cada vez es mayor la necesidad y el interés por dotar al profesorado de estas competencias, creando marcos y herramientas de diagnóstico que ayuden al docente a autoevaluarse para recibir programas de formación y orientación acordes a sus necesidades.

El objetivo de este trabajo de investigación es conocer, a través de un cuestionario específico basado en la herramienta SELFIE, las competencias digitales de los futuros profesores, y cómo las ponen al servicio de una educación más inclusiva en sus aulas.

Los resultados muestran que las competencias digitales de los futuros profesores no se abordan de forma específica, como tampoco se reflexiona sobre las necesidades y los usos sociales que se hace de la digitalización de la educación.  Los estudiantes del máster son conscientes de la importancia de tener los conocimientos necesarios para utilizar estas tecnologías de forma consciente, crítica y democrática en su futura docencia, pero no encuentran la formación adecuada que exige el nuevo paradigma educativo.
Estetinių Baroko kategorijų tapsmas potridentiniuose meno teorijos traktatuose
Authors:   , Riklius Tomas
Published: June 2023

Formation of Baroque aesthetic categories in the post-tridentine aesthetic theory treatises
Properties of tail moments of heavy-tailed distributions
Authors:   , Paukštys Saulius
Published: June 2023

Sunkiauodegių skirstinių momentų uodegų savybės
Disseminated salmonellosis with bronchopneumonia in an infant: a case report
Authors: Pereira de Lima Marcos Antonio , Nascimento Ferreira Maria Eduarda do , Damasceno Irving Araujo , Silva Souza Racquel Oliveira da , Vieira dos Santos Maria do Socorro , Lima da Silva Claudio Gleidiston
Published: June 2023

Infection by the Salmonella genus is one of the main causes of gastroenteritis worldwide, with relevant mortality in developing Countries. However, its presentation is not always classic, and may involve extraintestinal sites such as lungs, kidneys, and others. Herein, we present a case report, with a detailed description of necroscopic findings, of a 7-month-old infant who died of salmonellotic bronchopneumonia, without previous gastrointestinal manifestation. The relevance of this report consists in alerting the medical community on the possibility of extraintestinal salmonellosis in this risk group, in addition to giving due attention to the macroscopic and histopathological findings of disseminated salmonellosis.
Перший серед перших
Authors: Лібанова Елла Марленівна
Published: June 2023

20 червня виповнюється 75 років відомому в Україні та за її межами вченому в галузі демографії, методології стратегічного аналізу та економічного розвитку, національної безпеки, лауреату Державної премії України в галузі науки і техніки (2002), заслуженому діячеві науки і техніки України (2003), лауреату премії імені М.І. Туган-Барановського НАН України (1996), віцепрезиденту Національної академії наук України, голові Секції суспільних і гуманітарних наук НАН України, доктору економічних наук, професору, академіку НАН України Сергію Івановичу Пирожкову.
Analisis Nilai Religiusitas dalam Puisi Padamu Jua karya Amir Hamzah
Authors: Handayani Tutik , Rosyida Nur Ayisya
Published: June 2023

Puisi merupakan salah satu karya sastra. Dalam karya puisi kita dapat memahami serta melihat bagaimana keindahan yang terdapat pada setiap diksi yang digunakan. Pada saat ini pula, karya puisi merupakan karya sastra yang banyak diminati. Tujuan dari penelitian ini adalah memahami serta menganalisis nilai-nilai religiusitas yang terdapat dalam puisi Padamu Jua karya Amir Hamzah. Amir Hamzah merupakan sastrawan pujangga baru yang dijuluki sebagai “Raja Penyair Pujangga Baru”. Puisi Padamu Jua merupakan salah satu syairnya yang terkenal dan memiliki makna religius yang mendalam. Adapun metode penelitian yang digunakan dalam penelitian ini adalah penelitian kualitatif dengan penyajian data secara deskriptif. Dengan menggunakan metode penelitian kualitatif, peneliti melakukan studi pustaka dengan mengumpulkan beberapa dokumen, buku, dan teks-teks yang memiliki keterkaitan dengan penelitian. Selepas melakukan teknik pengumpulan data berupa dokumen serta buku-buku terkait, peneliti kemudian menyajikan data secara desktriptif. Hasil penelitian ini, menunjukkan bagaimana Amir Hamzah sangat mahir dalam memilih diksi, sehingga nilai religiusitas dapat kita temukan pada setiap lariknya. Pada puisi Padamu Jua Amir Hamzah mengangkat nilai religiusitas dari sudut pandang seorang hamba. Selain itu, gaya bahasa yang dimilikinya cenderung unik, dengan penggambaran tokoh yang sangat apik.
A Case of Primary Cardiac B-cell Lymphoma Diagnosed with Cardiac MRI
Authors: Lee Kevin , Minga Iva , Cameron Eryn , Adum Juan Pablo Salazar , Pursnani Amit
Published: June 2023

Primary cardiac tumors account for only 0.3% of all cardiac tumors; of these, lymphomas account for only 2% of all primary cardiac tumors. Cardiac lymphomas have a grim prognosis, often less than 1 year due to delays in diagnosis and treatment. Cardiac MRI is the gold standard for the imaging of cardiac tumors. We describe the case of a 76-year-old man with no significant past medical history who presented to the emergency department with a large pericardial effusion that was found to be consistent with cardiac lymphoma on cardiac MRI prior to tissue diagnosis of a primary cardiac diffuse large B-cell lymphoma. The clinical and radiological features of cardiac lymphoma are reviewed, and the therapeutic management and side-effects that the patient experienced are discussed.
Spontaneous magnetization of a vacuum in high temperature gluodynamics (two-­loop approximation)
Authors: Skalozub V.
Published: June 2023

In SU(N) gluodynamics, at high temperature the spontaneous magnetization, b(T) ≠ 0, of a vac­uum happens in the approximation to the effective potential ­- the tree plus the one-­loop, plus daisy diagrams, W(b) = b2/2g2 + W(1)(b) + Wdaisy(b). At the same time, in two­-loop approximation, W(A0) = W(1) (A0) + W(2)(A0), other classical field ­ A0 condensate directly related to the Polyakov loop - ­is also spontaneously generated. To investigate the creation of the condensates together, the two-loop effective po­tential of both fields should be calculated. This program was realized recently for SU(2) in [1]. However, the generation of magnetic field in two­-loop order was not studied in detail. In the present paper, we compute the value of chromomagnetic field b(T) for latter case. Then, considering the spectrum of color charged gluons at the background of both condensates, we conclude that the A0 stabilizes the magnetized vacuum at high temperature. This is in agreement with the lattice simulations carried out already and clarifies the mechanism of the magnetic field stabilization.
ETNISITAS SUNDA DALAM NOVEL PEREMPUAN BERNAMA ARJUNA 6 KARYA REMY SYLADO
Authors: Riyandi Riyandi , Malik Miftahul , Wachyudin Wachyudin
Published: June 2023

Indonesia merupakan negara yang heterogen terdiri dari berbagai macam kebudayaan, bahasa dan juga etnis. Setiap etnis di Indonesia memiliki nilai budaya yang dapat dipelajari. Memahami nilai budaya dalam etnis tentunya menjadi hal yang sangat penting sebagai penguatan terhadap nilai-nilai lokal yang menjadi ciri khas bangsa Indonesia. Etnisitas sebagai bagian dari muatan lokal sangat penting untuk diajarkan. Dalam Permendikbud no 79 tahun 2014 pasal 6 butir (e), muatan lokal dapat diajarkan melalui pembelajaran yang relevan. Sastra dapat menjadi media pembelajaran dalam menggali nilai-nilai etnisitas. Penelitian ini bertujuan untuk mendeskripsikan etnisitas dalam novel Perempuan Bernama Arjuna 6 karya Remy Sylado. Metode yang digunakan adalah metode deskriptif kualitatif. Hasil penelitian yang diperoleh yaitu dapat disimpulkan bahwa etnisitas Sunda yang tergambar dalam novel Perempuan Bernama Arjuna 6 karya Remy Sylado yaitu, nama daerah, salam sapaan, rumah adat, metafora, bentuk bahasa, bentuk seni, dan tradisi lisan
A Influência da Informação Prévia na Escolha de Websites em Mecanismos de Busca
Authors: Souza João Vicente Rosa de , Minciotti Silvio Augusto
Published: June 2023

Este artigo aborda a importância, o funcionamento e as consequências da otimização de posicionamento de site no ranking de resultados em uma busca na internet. Dessa forma, optou-se pelo método experimental, composto por uma simulação de acesso a um site de pesquisa em conjunto com um questionário fechado, caracterizando a captação de dados como quantitativa. O experimento, de desenho fatorial de ordem um, onde manipulou-se a informação prévia dos participantes, foi aplicado em 70 estudantes de uma faculdade do norte do Estado do Rio Grande do Sul. Desse modo, foram convidados a participar do estudo alunos dos cursos de Graduação em Administração de Empresas e Direito. Os resultados encontrados demonstraram a influência e relevante importância da informação prévia, comprovando para as empresas que esse tipo de ferramenta deve ser priorizada no ambiente de comércio virtual. Constatou-se, também, que consumidores que possuem menos informações sobre o produto tendem a visitar os primeiros sites listados como resultados da busca.
Transição da economia linear para a economia circular de equipamentos eletro-eletrônicos
Authors: Martins Thalisson De Sousa , Leitão Fabrício Oliveira , Guarnieri Patrícia
Published: June 2023

Com as fontes de recursos cada vez mais escassas e a produção exponencial de equipamentos eletro-eletrônicos (EEE), torna-se cada vez mais importante a transição de uma economia linear (EL) para uma economia circular (EC). O objetivo deste artigo foi analisar as práticas que estão sendo adotadas pelas empresas que produzem EEE com base na framework ReSOLVE sob a perspectiva da transição para a EC. Esta pesquisa se classifica como aplicada, descritiva e com abordagem qualitativa. Os procedimentos técnicos utilizados foram uma revisão integrativa da literatura (RIL) e uma análise documental. Foram identificadas 14 práticas de EC na RIL e 11 na análise documental, mostrando que possivelmente está havendo uma transição da EL para a EC.
Desenvolvimento de competências das pessoas que atuam em projetos
Authors: Abbud Ricardo Hares , Silva Luciano Ferreira da , Penha Renato
Published: June 2023

A necessidade de gerar produtos cada vez mais competitivos e com maior rapidez faz com que as pessoas em projetos que geram esses produtos sejam pressionadas por menores prazos, custos e sofram com restrições de recursos tanto materiais como humanos. Nesse contexto surgiu a necessidade de pessoas que atuam em gerenciamento de projetos se desenvolvam e demonstrem competências técnicas, sociais e funcionais, para assim atender a este ambiente competitivo, com melhoria de performance e manutenção da qualidade no atendimento aos requerimentos. Neste contexto, o objetivo dessa pesquisa foi identificar e descrever as práticas de desenvolvimento de pessoas que atuam em gerenciamento de projetos. Esta pesquisa adotou uma perspectiva exploratória com base em uma revisão sistemática da literatura (RSL). Os artigos resultantes das fases de seleção, triagem e elegibilidade, foram analisados e categorizados, objetivando estudar o fenômeno pesquisado, como meio de identificar categorizar e descrever o fenômeno do desenvolvimento de pessoas que atuam em projetos. Como resultado da análise de possíveis lacunas (gaps), foi identificada a oportunidade de novas pesquisas sobre o desenvolvimento de competências em projetos com abordagem Ágil, colaborando ao colocar uma luz sobre a necessidade de tratar o desenvolvimento de competências socioemocionais de pessoas que desempenham papeis no gerenciamento de projetos, futuros gestores e squads, considerando diferentes frameworks desde os estudos em nível universitário, bem como durante todo o ciclo profissional.
Fiscalização de contratos públicos com fornecimento de mão de obra exclusiva à luz do eSocial: estudo de caso no IFSC
Authors: Sette Sandra Fátima , Favretto Jacir , Ramos Fernando Maciel
Published: June 2023

O artigo teve como tema a fiscalização de contratos públicos com fornecimento de mão de obra exclusiva à luz do eSOCIAL: estudo de caso no IFSC. A pesquisa ocorreu por meio de uma abordagem qualitativa inclinando-se para pesquisa descritiva com apoio de pesquisa bibliográfica e documental. O instrumento de coleta de dados foi entrevista semiestruturada realizada por meio da ferramenta Google Meet com fiscais administrativos de contratos com mão de obra exclusiva. A análise dos dados realizou-se com base nas respostas das entrevistas e o entrelaçamento da literatura correlata. As conclusões do trabalho são no sentido de que há excesso de manualização no processo de fiscalização, necessidade de capacitação permanente e específica. Também se evidenciou a necessidade de sistematização no processo de fiscalização e de melhoria na comunicação entre Reitoria e câmpus. Apurou-se que as informações trabalhistas, previdenciárias e tributárias, solicitadas e fiscalizadas, mensalmente, às empresas prestadoras de serviços de mão de obra exclusiva ao IFSC, de fato estão disponíveis na base de dados do eSocial, conforme análise aos eventos, manuais e orientações do referido sistema o que evidencia a sua importância e possibilidade de utilização para a fiscalização. O estudo contribui para que se tenha um novo olhar para o processo de fiscalização, com a implantação de grupo de discussão entre fiscais, implantação de ambiente colaborativo digital, em atendimento à solicitação de ‘manual’, considerando a dinâmica e interação deste modelo, contornando a burocracia para constituição de comissões e atendendo ao pedido de construção coletiva, desse ambiente, pelos fiscais entrevistados.
The Effects of Orientation and Width of Space Between Buildings on Ventilation of High-Rise Areas
Authors:   Department of Urban Design, Faculty of Urban Planning and Architecture, Jundi-Shapur University of Technology, Dezful, Iran, Aghajanzadeh Seyedeh Azadeh , Hosseini Seyed Morteza ,   Department of Architecture, Design & Media Technology, Aalborg University Copenhagen, Denmark,   Department of Architecture and Energy, Faculty of Architecture and Urbanism, University of Tehran, Tehran, Iran, Lorzangeneh Mojtaba ,   Department of Urban Planning, Faculty of Architecture & Urban Planning, Art University of Isfahan, Isfahan, Iran, Tabana Mohsen ,   Department of Urban Planning, Faculty of Architecture & Urban Planning, Art University of Isfahan, Isfahan, Iran
Published: June 2023

Excessive heat in the high-rise urban fabric has contributed to pedestrian and occupants' discomfort. Establishing wind circulation in space with an environmentally compatible and optimal configuration is necessary to improve comfort in this region. The study benefits from field measurements and experimental validation of CFD simulation to investigate the effective parameters that affect wind speed. The master plan has proposed decentralized and limited high-rise construction to prevent the horizontal growth of Babolsar city. Meanwhile, the demand for high-rise buildings is high in the city. Therefore, altitude density (height factor) is considered as a constant factor. The buildings' orientation and enclosure based on the passages' width have opposite reactions in the direction of the prevailing wind. The correlation between the orientation and the enclosure with the wind speed are the values of 0.504 and 0.2226 respectively, which have the highest correlation among other parameters. The changes have been made in the building orientation factor in the dominant wind direction by creating permeability as well as creating low enclosure in the paths and empty spaces perpendicular to the dominant wind (W’= 3W, E’ = 0.33E). These strategies have finally improved wind velocity and created wind circulation in urban block spaces. Finally, according to the data analysis for Climate compatible in humid areas and the optimal behavior of wind flow for proper urban ventilation, an improved layout for future developments will be presented.
New Data on the Technology of Manufacturing Blacksmith Products of the Golden Horde Rural Settlements Based on Metallographic Analyses Results of Items from Bagaevka and Shiroky Buerak Settlements
Authors:   Regional state autonomous institution of culture «Lenin Memorial», Semykin Yuriy , Nedashkovsky Leonard ,   Kazan (Volga region) Federal University
Published: June 2023

The article introduces into scientific circulation the results of metallographic studies of the technology of blacksmithing products originating from excavations and casual finds from Bagaevka and Shiroky Buerak, the Golden Horde settlements of the Lower Volga region. In historiography, there is a shortage of studies of iron processing technology of the Golden Horde population from the Lower and Middle Volga regions. This article is intended to partially fill the existing research gap based on the results of archaeo-metallographic studies conducted in the archaeological laboratory of the Ulyanovsk State Pedagogical University. In the study, the authors use the archaeo-metallography method, developed by B.A. Kolchin, and currently widely applied in Russian archaeological science. As a result, it was established that simple bloom iron, raw irregularly carburized steel and specially prepared high-carbon steel were the main raw materials for blacksmithing products of the Bagaevka and Shiroky Buerak settlements. In the arsenal of forging products of the Bagaevka settlement, 86.8% of technological operations belong to group I (simple technologies without the use of a structural joint by forging welding of bloom iron and high-carbon steel, without copper soldering) and 13.2% belong to group II (wares with a structural joint by forging welding of bloom iron and steel with copper soldering). 58% of the metallographically studied wares were made of bloom iron and raw irregularly carburized steel. 29% of the items were forged technologically in order to obtain high-quality products. 15.8% of the products were made of all-steel work pieces, 10.5% produced from package work pieces. Cementation technology was recorded in 2.6% of the items. End welding and forging from two-lane iron-steel work pieces, which amounted to 5.3% each, were identified in the technological schemes related to the technological group II. In general, the revealed technological features of the blacksmith products of the Bagaevka collection are characteristic of the iron processing in the Middle Volga region in the Golden Horde period.
New Research on the Beslan Kurgan Catacomb Burial Mound
Authors:   Institute of Archaeology of the Russian Academy of Sciences, Korobov Dmitry , Malashev Vladimir ,   Institute of Archaeology of the Russian Academy of Sciences
Published: June 2023

This article publishes the results of archaeological excavations of five kurgans discovered using geophysical methods at the Beslan kurgan catacomb burial ground in the Republic of North Ossetia – Alania. Smallscale excavations in different parts of the vast Beslan necropolis make it possible to draw some conclusions. Firstly, the development of the necropolis proceeded in the east direction from the Zilgi settlement. Traces of an unfortified settlement were revealed 230 m from the eastern outskirts of the settlement which was identified by presence of several household pits. In this study, the eastern boundary of the settlement of Zilgi has demonstrably been traced at the time of its maximum expansion most likely dating back to the 3rd century AD. A total of 5 kurgans surrounded by small ditches and containing 6 burials were excavated. The earliest is the kurgan 878, which can be broadly dated back to the late 2nd and early 3rd century AD in terms of its construction design of the funerary structure. The kurgans 874 and 875 located on the eastern periphery of the necropolis can be dated back to the second or third quarter of the 4th century AD according to the characteristics of the strap set and obviously they reflect a period of maximum expansion of the burial area. In the second half of the 6th century AD, burials again occurred in the part of the necropolis adjacent to the fortress, as evidence by the kurgans 876 and 877 containing objects of that time. It is most likely that the population abandoned Zilgi fortified settlement in the 7th century AD, which is confirmed by both the known finds from the cultural layer of the monument, and the materials from the burial mounds published in this work. The reasons for this phenomenon have yet to be established; for the time being, it can be suggested that it might be connected both with environmental changes and with the military and political situation in the North-Eastern Caucasus at that time.
Soil Microbiological Approaches to Reconstruction of the Purpose of Ancient Settlements Construction
Authors:   Institute of Physicochemical and Biological Problems of Soil Science of the Russian Academy of Sciences, Borisov Alexandr , Goroshnikov Andrey ,   Institute of Archaeology of the Russian Academy of Sciences, Kashirskaya Natalia ,   Institute of Physicochemical and Biological Problems of Soil Science of the Russian Academy of Sciences, Mimokhod Roman ,   Institute of Archaeology of the Russian Academy of Sciences, Pinskoy Viktor ,   Institute of Physicochemical and Biological Problems of Soil Science of the Russian Academy of Sciences, Potapova Anastasia ,   Institute of Physico-Chemical and Biological Problems of Soil Science of the Russian Academy of Sciences, Smekalova Tatiana ,   V.I. Vernadsky Crimean Federal University
Published: June 2023

The aim of the article is reconstruction of purpose of ancient settlements construction using a combination of chemical and microbiological indicators. The study object is the Bagai-1 settlement of the Late Bronze Age in the northwestern part of the Crimean Peninsula. The chemical and microbiological properties of the occupation layer within the buildings of various shapes and sizes in different parts of the site have been studied. It was established that the Bagai-1 settlement is a stationary settlement of pastoralists, or was intended for living in the winter. Traces of cattle manure were found everywhere, which is confirmed by the high values of such soil indicators of livestock keeping as urease activity, the number of keratinolytic fungi and thermophilic bacteria in the cultural layer. The results of the research showed that most of the buildings in the settlement were related to livestock keeping. We cannot exclude the joint stay in the premises of both animals and humans, especially in the cold season when livestock was used as a source of heat. However, according to the complex of natural scientific data, no buildings have been identified that could be called exclusively residential, and in all cases the traces oflivestock are much more pronounced than the traces of human habitation. At the same time, vast areas without traces of stone buildings were found at the settlement, but with a high content of mineral forms of phosphates in the cultural layer and high values of magnetic susceptibility, which indicates the entry into the soil of a large amount of ceramics, ash, and pyrogenic residues. The combination of these properties can be considered as an indicator of human habitation.
Revisiting Reconstruction of the Early Nomadic Social Structure: Children’s Burials (Southern Urals, 6th – 3rd Centuries BC)
Authors:   Institute of History and Archaeology of the Ural Branch of the Russian Academy of Sciences, Berseneva Natalia
Published: June 2023

The study concerns the children as one of the social and demographic age groups that formed the early nomads‘ social structure. Burials of two chronological periods were studied: Sauromatian (late 6th – first half of 5th centuries BC) and Early Sarmatian (late 5th – 3rd centuries BC). The basis of the study was the materials of 26 kurgan burial grounds that contained anthropological identifications. The sample consisted of 139 individuals‘ remains from 125 grave pits. Then, an analysis of the grave goods was carried out according to the following age categories: 1) younger children’s age group (from birth to 2 years); 2) older children’s age group (from 2 to 10 years old); 3) “teenagers” (from 10 to 15 years old). The study has demonstrated that the Sauromatian sample was characterized by a small number of buried infants and toddlers; the bulk of the buried children were from 2 to 15 years old, and the group of “teenagers” was quite significant. The Early Sarmatian sample, on the contrary, demonstrated a significant number of infants among the deceased children, the number of burials of children from 2 to 10 years of age just slightly exceeded the number of infants. The group of “teenagers” was relatively small. The distribution of grave goods according to age groups in the Sauromatian and Early Sarmatian samples cannot be compared due to the small number of Sauromatian burials with the determination of the age-at-death. In general, in the Sauromatian burials, gender-linked items appeared only from adolescence (after 10 years). In the early Sarmatian sample, two main socially significant age groups of children were distinguished: from 0 to 5 years and from 5 to 15 years old. The first is characterized by the absolute predominance of gender-neutral accompanying grave goods and a high proportion of burials without surviving artefacts. The second group reflects the process of gender and age socialization.
WATER USE EFFICIENCY AND YIELD OF BROCCOLI CULTIVATED UNDER NO-TILLAGE WITH DIFFERENT TYPES OF SOIL COVER STRAW AND IRRIGATION SYSTEMS
Authors: Niz Amilcar Servín , Oliveira Fabrício Correia de , Almeida Alexsandro Claudio dos Santos , Geisenhoff Luciano Oliveira , Jordan Rodrigo Aparecido , Oviedo Modesto Osmar da Silva
Published: June 2023

This study aimed to evaluate the water use efficiency and yield of broccoli, irrigated by surface and subsurface drip and cultivated with no-till vegetable system (NTVS), using different species of cover plants for straw formation. The experimental design was completely randomized, in a 4 x 2 factorial arrangement (4 soil covers and 2 types of drip irrigation: surface and subsurface). The treatments related to the cultivation system were: control treatment, cultivated under conventional tillage and uncovered soil (CT), and three treatments cultivated in NTVS varying the residual straw species used as soil cover, namely: straw from intercropping of Crotalaria ochroleuca and Brachiaria ruziziensis (NT1), straw from only C. ochroleuca (NT2) and straw from only B. ruziziensis (NT3). Treatments with NTVS obtained yield levels higher than or similar to that of the control treatment. NT1, with straw from the intercropping of C. ochroleuca and B. ruziziensis, stood out with a 27% increase in marketable yield of inflorescence (18.68 t ha-1) and higher water use efficiency (17.57 kg m-3), being 54% more efficient than the treatment with conventional tillage.
Gastronomic Culture as an Object of Cultural Heritage: Problems of Expert Assessment
Authors:   Ural Federal University, Kapkan Maria V.
Published: June 2023

Based on the methodology of social constructivism, the paper analyzes the specifics of food as an object of intangible cultural heritage. Summarizing the studies of European historians, the author characterizes the main factors in classifying artifacts of gastronomic culture as objects of intangible cultural heritage, paying particular attention to the factors of terroir, tradition, and identity preservation. From the point of view of the practice of expertise, the patrimonization of artifacts is built on the intersection of empirical historical data and the current ideological demand. The revealed regularities and problems are specified on the case of the Russian gastronomic culture. The author concludes that one of the essential problems of expert evaluation of gastronomic culture in Russia is the lack of gastronomic reflection, that is, a stable tradition of restaurant criticism and authoritative cookbooks. Another obstacle to the development of cultural heritage expertise is the coexistence of several conflicting images of the past in contemporary Russian culture.
Differences in suicidal intentions among female and male students
Authors:   Ural Federal University, Chumakov Mikhail V. , Chumakova Darya M. ,   Kurgan State University
Published: June 2023

In the framework of the study data on gender differences in suicidal intentions in connection with the parameters of the emotional­volitional sphere are analyzed. The indicators of the emotional sphere include stress, mood, optimism. Indicators of suicidal intentions are suicidal thoughts and plans, as well as suicidal attempts. (questionnaires M. Perret and others). Statistically significant differences in the indicator of suicidal intentions between boys and girls were revealed. The level of suicidal intentions among girls is higher. A higher indicator of suicidal intentions among girls can be explained by differences in the parameters of the emotional­volitional sphere of the personality.
Symbolic Resource of the Research and Pedagogical Community of Universities
Authors:   Ural Federal University, Zborovsky Garold E. , Katashinskikh Varvara S. ,   Ural Federal University
Published: June 2023

Scientific and pedagogical stuff (SPS) are considered in the article as, on the one hand, one of the basic social communities of the university, on the other — as a scientific and professional community and scientific and educational community. SPS are characterized by the presence of a number of resources, of which one of the least studied is a symbolic resource. The article gives an interpretation of the symbolic resourcefulness of the SPS, shows its role and significance in the development of the entire resourcefulness of this social community. The purpose of the article is to analyze the symbolic resourcing of the SPS as a phenomenon of higher education. The symbolic resourcefulness of the SPS is the subject of scientific research in the proposed article.
Programming Language Conversion Using NLP
Authors: Banerjee Abhijit , Mukherjee Madhuban , Banerjee Aparajita , Raza Aalishan , Bhowmick Sucheta , Bhagat Sakshi , Pal Sudipta Basu
Published: June 2023

Natural language processing strives to build machines that understand and respond to text or voice data—and respond with text or speech of their own—in much the same way humans do. NLP models language computationally and deals with linguistic features of computation. Once
a computer learns to do mathematical calculations it can perform many complex and big calculations much faster than humans. Similarly once computer starts to understand the human languages it can process all aspects of that language much faster than humans also opening a large number of possibility.
So it cuts down on employment as one computer is capable of giving an output 10 times faster than a human can. So it benefits the employer not only financially but also by giving extremely accurate and faster outcome. Here we lay out an overall architecture to explain the overall processing.
So now we take a look at the two general classes of systems they are special-purpose system and general-purpose system, explaining how they differ and their relative advantages and disadvantages. After that we point at the few remaining problems that require additional research. Finally, we
conclude by discussing when natural language processing technology can be practically used at various levels . We also discuss about when it will become commercially practical, and what will be the cost to practically use this technology. The techniques specifically developed for analysing
and understanding the inner-workings and representations acquired by neural models of language is EMNLP 2018 BlackboxNLP. The approach includes: investigating the impact on the performance of neural network on systematic manipulation of input and also testing whether the interpretable knowledge
can be decoded from intermediate representations to propose modifications to make the knowledge state or generated output more and also to examine the performance of networks on simplified or formal languages. In the following report we aim to convert a program of a given language to an equivalent
program of another language. For that we have taken help of NLP that is Natural Language Processing. By using Natural Language Tool Kit, we have successfully identified the variables, datatypes, operators, keywords, indentations. We have also discussed various aspects and domains of NLP and
some real-world applications of it.
Microcontroller Based Smart Coil Winder System
Authors: A.Rajamani  , N.Saranya
Published: June 2023

The aim of this paper is to develop the control circuit for smart automatic coil winder, which functions with respect to the PIC Microcontroller program. The conventional coil winding machine winds copper wire on a former and the former is attached to the iron rod, which is to be actuated
manually. Moreover, the manual coil winding machine does not have any control circuit for the smart functionality. But in this design, the controller has more memory to operate and save the data and also to improve the winder program. Additionally, it also reduces the time of operation and
the requirement of Manpower. This coil winder control circuit uses PIC Microcontroller (16F887), which runs the winder system according to main program and also the motor step sequencing program.
Persuasion Strategies in Advertisements
Authors: Kumar Yaman , Jha Rajat , Gupta Arunim , Aggarwal Milan , Garg Aditya , Malyan Tushar , Bhardwaj Ayush , Ratn Shah Rajiv , Krishnamurthy Balaji , Chen Changyou
Published: June 2023

Modeling what makes an advertisement persuasive, i.e., eliciting the desired response from consumer, is critical to the
study of propaganda, social psychology, and marketing. Despite its importance, computational modeling of persuasion
in computer vision is still in its infancy, primarily due to
the lack of benchmark datasets that can provide persuasion-strategy labels associated with ads. Motivated by persuasion literature in social psychology and marketing, we introduce an extensive vocabulary of persuasion strategies and
build the first ad image corpus annotated with persuasion
strategies. We then formulate the task of persuasion strategy prediction with multi-modal learning, where we design
a multi-task attention fusion model that can leverage other
ad-understanding tasks to predict persuasion strategies. The
dataset also provides image segmentation masks, which labels persuasion strategies in the corresponding ad images on
the test split. We publicly release our code and dataset at https://midas-research.github.io/persuasion-advertisements/.
Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild
Authors: Li Hanting , Niu Hongjing , Zhu Zhaoqing , Zhao Feng
Published: June 2023

Compared with the image-based static facial expression recognition (SFER) task, the dynamic facial expression recognition (DFER) task based on video sequences is closer to the natural expression recognition scene. However, DFER is often more challenging. One of the main reasons is that video sequences often contain frames with different expression intensities, especially for the facial expressions in the real-world scenarios, while the images in SFER frequently present uniform and high expression intensities. Nevertheless, if the expressions with different intensities are treated equally, the features learned by the networks will have large intra-class and small inter-class differences, which are harmful to DFER. To tackle this problem, we propose the global convolution-attention block (GCA) to rescale the channels of the feature maps. In addition, we introduce the intensity-aware loss (IAL) in the training process to help the network distinguish the samples with relatively low expression intensities. Experiments on two in-the-wild dynamic facial expression datasets (i.e., DFEW and FERV39k) indicate that our method outperforms the state-of-the-art DFER approaches. The source code will be available at https://github.com/muse1998/IAL-for-Facial-Expression-Recognition.
MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation
Authors: Cao Yiming , Cui Lizhen , Zhang Lei , Yu Fuqiang , Li Zhen , Xu Yonghui
Published: June 2023

Automatic medical report generation is an essential task in applying artificial intelligence to the medical domain, which can lighten the workloads of doctors and promote clinical automation. The state-of-the-art approaches employ Transformer-based encoder-decoder architectures to generate reports for medical images. However, they do not fully explore the relationships between multi-modal medical data, and generate inaccurate and inconsistent reports. To address these issues, this paper proposes a Multi-modal Memory Transformer Network (MMTN) to cope with multi-modal medical data for generating image-report consistent medical reports. On the one hand, MMTN reduces the occurrence of image-report inconsistencies by designing a unique encoder to associate and memorize the relationship between medical images and medical terminologies. On the other hand, MMTN utilizes the cross-modal complementarity of the medical vision and language for the word prediction, which further enhances the accuracy of generating medical reports. Extensive experiments on three real datasets show that MMTN achieves significant effectiveness over state-of-the-art approaches on both automatic metrics and human evaluation.
Head-Free Lightweight Semantic Segmentation with Linear Transformer
Authors: Dong Bo , Wang Pichao , Wang Fan
Published: June 2023

Existing semantic segmentation works have been mainly focused on designing effective decoders; however, the computational load introduced by the overall structure has long been ignored, which hinders their applications on resource-constrained hardwares. In this paper, we propose a head-free lightweight architecture specifically for semantic segmentation, named Adaptive Frequency Transformer (AFFormer). AFFormer adopts a parallel architecture to leverage prototype representations as specific learnable local descriptions which replaces the decoder and preserves the rich image semantics on high-resolution features. Although removing the decoder compresses most of the computation, the accuracy of the parallel structure is still limited by low computational resources. Therefore, we employ heterogeneous operators (CNN and vision Transformer) for pixel embedding and prototype representations to further save computational costs. Moreover, it is very difficult to linearize the complexity of the vision Transformer from the perspective of spatial domain. Due to the fact that semantic segmentation is very sensitive to frequency information, we construct a lightweight prototype learning block with adaptive frequency filter of complexity O(n) to replace standard self attention with O(n^2). Extensive experiments on widely adopted datasets demonstrate that AFFormer achieves superior accuracy while retaining only 3M parameters. On the ADE20K dataset, AFFormer achieves 41.8 mIoU and 4.6 GFLOPs, which is 4.4 mIoU higher than Segformer, with 45% less GFLOPs. On the Cityscapes dataset, AFFormer achieves 78.7 mIoU and 34.4 GFLOPs, which is 2.5 mIoU higher than Segformer with 72.5% less GFLOPs. Code is available at https://github.com/dongbo811/AFFormer.
Few-Shot Object Detection via Variational Feature Aggregation
Authors: Han Jiaming , Ren Yuqiang , Ding Jian , Yan Ke , Xia Gui-Song
Published: June 2023

As few-shot object detectors are often trained with abundant base samples and fine-tuned on few-shot novel examples, the learned models are usually biased to base classes and sensitive to the variance of novel examples. To address this issue, we propose a meta-learning framework with two novel feature aggregation schemes. More precisely, we first present a Class-Agnostic Aggregation (CAA) method, where the query and support features can be aggregated regardless of their categories. The interactions between different classes encourage class-agnostic representations and reduce confusion between base and novel classes.
Based on the CAA, we then propose a Variational Feature Aggregation (VFA) method, which encodes support examples into class-level support features for robust feature aggregation. We use a variational autoencoder to estimate class distributions and sample variational features from distributions that are more robust to the variance of support examples. Besides, we decouple classification and regression tasks so that VFA is performed on the classification branch without affecting object localization. Extensive experiments on PASCAL VOC and COCO demonstrate that our method significantly outperforms a strong baseline (up to 16%) and previous state-of-the-art methods (4% in average).
GAM: Gradient Attention Module of Optimization for Point Clouds Analysis
Authors: Hu Haotian , Wang Fanyi , Zhang Zhiwang , Wang Yaonong , Hu Laifeng , Zhang Yanhao
Published: June 2023

In the point cloud analysis task, the existing local feature aggregation descriptors (LFAD) do not fully utilize the neighborhood information of center points. Previous methods only use the distance information to constrain the local aggregation process, which is easy to be affected by abnormal points and cannot adequately fit the original geometry of the point cloud. This paper argues that fine-grained geometric information (FGGI) plays an important role in the aggregation of local features. Based on this, we propose a gradient-based local attention module to address the above problem, which is called Gradient Attention Module (GAM). GAM simplifies the process of extracting the gradient information in the neighborhood to explicit representation using the Zenith Angle matrix and Azimuth Angle matrix, which makes the module 35X faster. The comprehensive experiments on the ScanObjectNN dataset, ShapeNet dataset, S3DIS dataset, Modelnet40 dataset, and KITTI dataset demonstrate the effectiveness, efficientness, and generalization of our newly proposed GAM for 3D point cloud analysis. Especially in S3DIS, GAM achieves the highest index in the current point-based model with mIoU/OA/mAcc of 74.4%/90.6%/83.2%.
Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint
Authors: Jiang Hai , Li Haipeng , Lu Yuhang , Han Songchen , Liu Shuaicheng
Published: June 2023

Homography estimation is erroneous in the case of large-baseline due to the low image overlay and limited receptive field. To address it, we propose a progressive estimation strategy by converting large-baseline homography into multiple intermediate ones, cumulatively multiplying these intermediate items can reconstruct the initial homography. Meanwhile, a semi-supervised homography identity loss, which consists of two components: a supervised objective and an unsupervised objective, is introduced. The first supervised loss is acting to optimize intermediate homographies, while the second unsupervised one helps to estimate a large-baseline homography without photometric losses. To validate our method, we propose a large-scale dataset that covers regular and challenging scenes. Experiments show that our method achieves state-of-the-art performance in large-baseline scenes while keeping competitive performance in small-baseline scenes. Code and dataset are available at https://github.com/megvii-research/LBHomo.
Estimating Reflectance Layer from a Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning
Authors: Jin Yeying , Li Ruoteng , Yang Wenhan , Tan Robby T.
Published: June 2023

Estimating the reflectance layer from a single image is a challenging task. It becomes more challenging when the input image contains shadows or specular highlights, which often render an inaccurate estimate of the reflectance layer. Therefore, we propose a two-stage learning method, including reflectance guidance and a Shadow/Specular-Aware (S-Aware) network to tackle the problem. In the first stage, an initial reflectance layer free from shadows and specularities is obtained with the constraint of novel losses that are guided by prior-based shadow-free and specular-free images. To further enforce the reflectance layer to be independent of shadows and specularities in the second-stage refinement, we introduce an S-Aware network that distinguishes the reflectance image from the input image. Our network employs a classifier to categorize shadow/shadow-free, specular/specular-free classes, enabling the activation features to function as attention maps that focus on shadow/specular regions. Our quantitative and qualitative evaluations show that our method outperforms the state-of-the-art methods in the reflectance layer estimation that is free from shadows and specularities.