bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluación de las combinaciones de agregados para mezclas asfálticas, con indicadores de trabazón y acomodo
Authors: Araujo Nómar , Castellanos Jimmy
Published: November 2022

La selección de la estructura granular por efecto de la combinación de agregados, es un procedimiento fundamental para el di-seño de mezclas asfálticas, ya que gran parte de la resistencia a la deformación permanente que exhibe al formar parte de un pavimento carretero, está directamente relacionada con la calidad propia de los agregados y con su arreglo o composición granulométrica, por ello, una buena selección de agregados proporcionará una mezcla asfáltica con buenas prestaciones ante estas degradaciones. En este trabajo, se realizó una evaluación por me-dio de índices de empaquetamiento y trabazón definidos en el Método Bailey a las estructuras granulométricas resultantes de las diferentes combinaciones que se obtienen con la aplicación del combinador de agregados de RAM-CODES Software, con el objetivo de determinar las posibles mezclas que más allá de cumplir con una especificación, tengan una distribución equilibrada en cuanto al tamaño de sus partículas, ajuste de vacíos y propiedades volumétricas. Para ello, se dispuso de un diseño de mezcla asfáltica originalmente planteado en el laboratorio de una planta procesadora y se evaluaron las posibles mezclas de agregados que cumplen con la especificación de referencia empleada, calculando en cada alternativa los indicadores con enfoque al empaquetamiento y trabazón de sus partículas en la composición granular, obteniéndose un conjunto exclusivo de granulometrías que de acuerdo a la metodología empleada, constituyen mezclas equilibradas con propiedades volumétricas controladas y resistentes a las deformaciones plásticas.
Comportamiento de polímeros en medios porosos: (Reversión de daños a la formación por asfaltenos)
Authors: Agüero Barí , Villanueva Iván , Pérez Víctor , Labrador Henry , Pereira Juan
Published: November 2022

La estimulación de pozos de petróleo es una necesidad debido a la disminución de la producción desde el yacimiento, lo que reduce la rentabilidad de los procesos productivos. Una de las causas son los daños a la formación ocasionados por los asfaltenos, los cuales pueden ser de diferentes tipos como el bloqueo por emulsión, los cambios de mojabilidad o la obstrucción de las gargantas de poros en el yacimiento. Por tal motivo, es importante comprender sus causas, al igual que entender el comportamiento de moléculas que convencionalmente son usadas para prevenir, mitigar y revertir este tipo de daños. En el presente artículo se revisan publicaciones sobre los asfaltenos, algunos problemas que ocasionan en las formaciones o pozos productores de crudos, además se presentan polímeros utilizados como dispersantes de asfaltenos y su interacción con los mismos. Y por último se exponen dos tipos de polímeros muy usados como dispersantes e inhibidores de la precipitación de asfaltenos, sintetizados a partir de una fuente natural u otro proveniente de la industria petroquímica.
Educar desde la diversidad para la igualdad.
Authors: Méndez Mario
Published: November 2022

En estas páginas, el autor quiere hacer un análisis acerca de la primacía que la libertad ha tenido en la sociedad occidental con respecto a otros valores de la modernidad. Ese énfasis en la libertad ha generado, frecuentemente, formas diversas de homogeneización y de desconocimiento de las diferencias individuales. la educación puede colaborar en la construcción de una sociedad más igualitaria, a partir de la valoración de aquellas diferencias.
Economía, territorios e identidades en la larga duración: una aproximación al caso salvadoreño
Authors: López Bernal Carlos Gregorio
Published: November 2022

En este artículo, el autor, pretende demostrar la relación que existe entre economía, construcciones territoriales y la formación de identidades, y cómo estos procesos han incidido en la conformación histórica de la identidad nacional salvadoreña.
SYNTHESIS AND CHARACTERIZATION OF SOME NOVEL HETERONUCLEAR BIS-THIAZOLIDINONE DERIVATIVES AND EVALUATION OF ITS ANTIMICROBIAL AND IN VITRO CYTOTOXIC PROPERTY
Authors: Naher Sabikun , Rashid Dr. Md. Abdur
Published: November 2022

A series of novel bis-thiazolidinone derivatives 3(a-j) have been synthesized by the cyclization of thiosemicarbazones 2(a-j) with chloroacetic acid and sodium acetate. The integrated heterocyclic compounds were featured by chemical and spectroscopic methods such as IR, 1H NMR and 13C NMR. All the synthesized compounds have been screened for their antimicrobial activity against Gram-positive and Gram-negative bacteria such as Staphylococcus Aureus, Bacillus licheniformis, Klebsiella pneumoniae, Esherichia coli and antifungal activity against Aspergillus niger and in vitro cytotoxic activity against human cancer cell line (HeLa cell) and Vero cell line, using MTT assays but showed no activity.
Experiencias en el estudio de la trashumancia caprina de la mixteca oaxaqueña
Authors: López-Ojeda José Carlos , Ramírez Bribiesca Efrén , Herrera Haro Jose Guadalupe , Mendoza Pedroza Sergio Iban , Valdez Hernández Juan Ignacio , Arias Margarito Ladislao
Published: November 2022

Los productores caprinos trashumantes (PCT) en la mixteca adquieren experiencias empíricas respecto al cuidado y pastoreo de sus animales, mismas que heredaron y modificaron a través del tiempo, estas experiencias se denominan etnoconocimientos. La trashumancia es considera como una estrategia de pastoreo y consiste en el movimiento cíclico del ganado para asegurar su alimentación durante el año (Stolton et al., 2019)
IMPLEMENTASI GAP ANALISIS PADA PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PENILAIAN UNTUK EVALUASI KINERJA DOSEN
Authors: Herlina
Published: November 2022

Kinerja dosen yang baik akan mempengaruhi peningkatan kualitas mahasiswanya. Oleh karena itu, sangat penting bagi sebuah perguruan tinggi untuk melakukan penilaian terhadap kinerja dosen. AMIK CBI oleh ketua program studi telah melakukan penilaian dengan menggunakan Sasaran Kinerja Individu (SKI).

Komponen penilaian terdiri dari Kinerja Akademik dan Layanan Konsumen, dan Kinerja Individu. Kaprodi memiliki ekspektasi yang tinggi terhadap kinerja dosen pada setiap indikator yang termasuk dalam SKI, namun faktanya tidak semua dosen mampu mencapai harapan tersebut.

Kesenjangan terjadi jika ada perbedaan antara harapan terhadap dosen dengan nilai yang dicapai dosen di SKI. Sistem Pendukung Keputusan dengan menggunakan metode Gap dibuat berdasarkan aspek-aspek dalam SKI. Proses penghitungan gap dilakukan untuk melihat peringkat dosen yang berprestasi lebih baik. Aplikasi ini dibuat dengan menggunakan database SQL dan PHP sebagai toolsnya.
Martial and Ritual Arts Groups in the formation of Political Parties in Timor-Leste
Authors: Alves Jacques
Published: November 2022

Martial and ritual arts groups are a set combination of sports activities in both physical and spiritual accomplishments to protect or defend themselves. This activity was banned a few years ago and decriminalized recently in 2022. However, the existence of these two sports activities reveals a significant controversial debate. This article attempts to analyze the relationship between the presence of political parties, especially the history of parties in Timor-Leste, then continues with a critical analysis of the relations of these groups in the formation of Political Parties in Timor-Leste in the current developments. This article used a secondary data approach, collected from the report documents from the government, non-governmental organizations, and academic publications from similar research. The results of this study indicate that there is indeed an interest in political parties. However, despite the motivation that mobilized this organization’s mass into political party affiliation, the influence of martial arts and ritual groups began to be the backbone of political parties’ support.
Uma perspectiva filosófica sobre a ideia de esperança em Timor-Leste
Authors: Borromeu Nicolau , Martins David
Published: November 2022

o objetivo deste artigo é refletir sobre a ideia de esperança no contexto timorense. Sabemos que esperança é um conceito abstrato que se manifesta de diferentes formas em cada espaço e tempo. Aqui iremos refletir, a partir de uma perspectiva filosófica, alguns dos possíveis significados da esperança em Timor-Leste – aliado aos conceitos de tempo e utopia –, onde o sonho da democracia e a esperança da independência constitui o passado, o processo de independência materializado em 1999 e a reconstrução do pais constitui o presente, e a esperança de construir uma sociedade justa, fraterna, próspera e solidária configura a esperança utópica do futuro.
Uma breve descrição do sintagma nominal do tetun prasa
Authors: Wânia Miranda  , Elen Silva Ferreira dos Santos
Published: November 2022

No presente artigo descrevemos algumas características do sintagma nominal da língua tetun prasa. A língua tetun prasa, falada em Timor-Leste, é a língua oficial do país ao lado da língua portuguesa. No presente estudo apresentamos brevemente a história de formação de Timor-Leste, bem como a situação sociolinguística do país que possui um cenário de multilinguismo no qual convivem em torno de 16 línguas. São poucos os estudos linguísticos sobre a língua tetun prasa, neste sentido, com base em dados coletados em Albuquerque (2010a, 2010b, 2011, 2013), apresentaremos as características dos elementos que compõem o sintagma nominal tanto a sua posição em relação ao núcleo nominal quanto a sua interação com os demais elementos dentro do sintagma, a fim de contribuir e preencher algumas lacunas existentes em relação aos estudos linguísticos sobre o tetun prasa.
Percursos para uma implementação curricular significativa em Timor-Leste
Authors: Cunha Joana
Published: November 2022

Desde a existência de educação formal e até ao final do século XX, Timor-Leste esteve ‘dominado’ por currículos escolares provenientes do exterior. Atualmente, e desde 2015, o primeiro e segundo ciclos do ensino básico (ensino primário), possuem um currículo nacional de base elaborado no território e para o território, possibilitando a existência de um currículo que promova aprendizagens que deem respostas aos verdadeiros desafios de Timor-Leste. Contudo, as aprendizagens esperadas só ocorrem se existir uma implementação efetiva do currículo pretendido. Deste modo, a implementação curricular, percecionada como o processo de colocar em prática o currículo proposto ou pretendido, apela a uma estreita e interligada mobilização de autoridades educativas, escolas, professores e alunos. Neste trabalho, analisa-se a implementação do referido currículo, categorizando-se os atores – pessoas e instituições – tidas como fundamentais, e observando que percursos podem ser percorridos para melhorar a implementação desse, e qualquer outro, currículo.
Learning about Timor-Leste: tracing the “Timorisation” of curriculum reform
Authors: Quinn Marie
Published: November 2022

The first national planning document of the newly independent Timor-Leste included in its vision that “East Timor will be a democratic country with a vibrant traditional culture” (East Timor Planning Commission, 2002, p. xviii). Education, as an important arm of nation-building, includes a strong link to culture by including the principle of “Ligasaun ba kultura no maneira moris lokál nian [Connection to culture and way of local life]” (Ministério da Educação [ME], 2014, p. 18). However, much of Timor-Leste’s educational history has been characterised by adherence to goals that rarely addressed Timorese needs or identity. Using content analysis, this paper traces the way in which official and educational documents have considered local people and conditions in the past - during the periods of colonisation and occupation - and those of the present, particularly through the current curriculum for primary school. Also considered are teachers’ responses to a recent survey of understanding of “local life”, suggesting that a greater orientation of learning to the local context is needed in the future to understand how education might strengthen Timorese communities and culture.
The Suicidal Philosopher: Plato's Socrates
Authors: Christensen Anna B.
Published: November 2022

Because the Phaedo characterizes Socrates's death as a punishment by Athens, many scholars argue that he could neither have been responsible for nor have intended his death, so that his death was not suicide. This is no mere semantic quibble: the question turns on issues of responsible and intentional action. I argue that the dialogues portray Socrates as committing suicide. To do so, I use a Platonic account of responsibility and intention to show how Athens and Socrates were jointly responsible for Socrates's death and that his intention was not only to do what justice requires but also to kill himself.
Three Black Gospel Music Experts on Preparing, Teaching, and “Being” in the African American Aural-Oral Tradition
Authors: Covalle Whitney A.
Published: November 2022

The purpose of this multiple case study was to gather musical and nonmusical perspectives from three experts on teaching Black gospel music in the African American aural-oral tradition. Research questions included: (a) What is the process Black gospel music experts engage in when preparing for and teaching gospel music in the aural-oral tradition? (b) In the view of Black gospel music experts, how does race intersect with the preparation, teaching, and performance of gospel music? (c) How do Black gospel music experts advocate for incorporating gospel music into public school vocal music programs? Participants were purposively selected, and data collection included observations, researcher-singer participation, and multiple interviews. Expert agreement emerged regarding teaching processes as a nonmusical “state of being” deeply infused with cultural, community, and spiritual values. Rehearsals were uninterrupted musical experiences with limited nonverbal instruction made possible from robust aural-oral immersion preparation. While participants insisted race was not a prerequisite for engagement in gospel music, they agreed the influence and mediation of race plays an active role, citing the proliferation of anti-Blackness in the academy as foremost among the barriers to rigorous preparation to teach Black gospel music. Experts advocated for teaching gospel music in schools to offer students the opportunity to participate in the accessible, inclusive, participatory, and communal experience available in gospel music.
“For Sale by All Druggists”: Patent Medicine and National Market Access in Springfield, Illinois
Authors: Verstraete Emma L.
Published: November 2022

Examination of newspaper ads and store records of available products combined with data generated from the archaeological record provide insight into how individuals and communities kept pace with national and global trends in medicine and advertising. Decades of archaeological investigation in Springfield, Illinois, by Fever River Research have yielded a rich data set that provides diverse insights into the community. The goal of this case study is to apply a commodity access model to the Springfield, Illinois, data to examine the accuracy of modern researchers’ ideas about the impact of market access on consumer choice. The combination of archaeological artifacts and archival data forms a compelling picture of a community that took advantage of unprecedented access to medicine and commodities during the rise of America's Gilded Age. In contrast to the original results of the commodity model, the results of this analysis indicate that the expansion of trade networks and interaction spheres may not have been the critical factor in consumer choice. Instead, social structures on a local level—between neighborhoods, competing stores, and the consumer—become more important in areas with diverse product access.
Finnish Project: Karelian Workers’ Commune
Authors: Kangaspuro Markku
Published: November 2022

The establishment of Soviet Karelia in 1920 resulted from a captivating mix of factors: the Russian Civil War, the normalization of Finnish-Russian state relations, the institutionalization of the Soviet Union's state structure, and the emancipation of the minority nations of the former Russian empire. After the independence of Finland, Soviet Russia met Finnish demands to expand its borders to eastern Karelia. The establishment of Karelian national autonomy was a compromise that both parties could accept in order to clear a path to the Tartu peace negotiations of 1920. Karelia's Finnish leadership needed American Finns to meet the demand for a qualified workforce in its timber industry and to ensure that the Finnish-Karelian proportion of the republic's population would not drop below 40 to 50 percent. It was the misfortune of American Finns that they arrived in Karelia at a moment when the Soviet Union turned toward Stalinism, resulting in purges and the removal of Finns from the leadership of Karelia.
The Kalevala's Languages: Receptions, Myths, and Ideologies
Authors: Tarkka Lotte , Stepanova Eila , Haapoja-Mäkelä Heidi
Published: November 2022

In Finland, the epic Kalevala (1835, 1849) and Kalevala-meter poetry, or oral folk poetry more generally, are often seen as nationally significant symbols of Finnishness. The Kalevala is a modern literary product constructed by Elias Lönnrot out of Finnic folk poetry especially from Russian Karelia, Finland, and Ingria. Lönnrot, who was himself among the most significant collectors of oral poetry, created the Kalevala as a synthetic, organized compendium of (reconstructed) pre-modern “Finnish” culture. Beginning from the publication of the first edition in 1835, the Kalevala has been extremely significant in the creation of Finnish national and ethnic identity.

In this article, we discuss the engenderment of Finnishness and Finnish culture in terms of language ideologies by looking closely at the Kalevala's languages, language-specific reception of the epic, Lönnrot's language ideologies, and politics of language standardization in the contexts of the Grand Duchy of Finland and Russia. We argue that in these processes, Finnish was strongly symbolized and given a mythological charter: it was the language encapsulating ancestral heritage, and it was the language that theFinns were obliged to develop, learn, and teach. For the needs of the nation, the language had to be refined and homogenized, made into a standard language. In this process, the Karelian language and culture were implicitly absorbed into Finnish cultural heritage but not recognized and valued as coeval cultural realities: in both Finnish and Russian discourses, Karelia represented the past of the present-day Finnishness, but not the present day of Karelianness.
Kalevala Ecology: Bioregional Aesthetics and Sámi Environmental Autonomy
Authors: Lehtonen Jonathan
Published: November 2022

An ecocritical reevaluation of the Kalevala and its contexts reveals the merging of nationalist discourses with a broader Finno-Ugric environmental aesthetic tradition in the period leading up to Finnish independence. Although the Kalevala and the nationalism it inspired led to oppression of the Sámi minority in northern Finland, analyzing the Kalevala as a “bioregional” epic in light of the environmental aesthetics of the Sámi joik tradition can potentially heal divisions created by Finnish nationalism.
Mobility Reports: Artistic Representations of Mobility Experiences
Authors: Kurki Tuulikki , Kaskinen Saija
Published: November 2022

The new mobility paradigm has expanded from geographically related mobility to various forms of sociocultural and intercultural mobility, which are studied through multidisciplinary approaches. This article focuses on the individual experiences of mobility and various embodied border crossings represented in artistic genres and performances in the context of Finland. The theoretical background of the article draws on literature research and cultural anthropology, which both include the discussions initiated by the affective and iconic turn in cultural studies. The affective turn promotes the move from constructionism to the broad framework of new materialism that links critical theory and cultural criticism to bodily matter and matter in general. The iconic turn seeks to acknowledge that artistic and visual cognition of reality is to be understood as equal to scientific forms of representation. People's understanding of the world is based on experiences that have a bodily and material foundation and consist of both individually formed and culturally learned elements. Because artistic genres constitute a specific form of knowledge that has its foundation in (bodily) experiences, this article claims that studying artistic genres in the context of mobility can provide a new understanding and ways of conceptualizing of a mobile subject and mobility experience.
Bordering Mobilities: The Case of Russian Trans-Border Second-Home Ownership in Finland
Authors: Hannonen Olga
Published: November 2022

Trans-border second-home ownership is a growing mobility trend in different parts of the world. This paper employs both a mobilities and border perspective in considering trans-border second-home ownership through the example of Russian second-home mobility in Finland. The analysis highlights the importance of borders and bordering in contemporary trans-border mobilities—an importance that the new paradigm has yet to fully recognize and address. The argument in the paper is constructed through three empirical perspectives: Russian second-home owners, Finnish locals and second-home owners, and parliamentary discussions. The results show that the border and the bordering process are present in multiple ways in Russian trans-border second-home mobilities. The border is a regulator of mobility; it is an attraction; it is an invisible barrier in everyday life; and it is a means of differentiation between “us” and “them.”
The Emergence of a Nationalistic Vernacular: The Ideal Peasant Man and the Roma People as His Antagonists
Authors: Stark Eija
Published: November 2022

This article discusses ethnic folklore as mirroring the ideals of peasant culture in Finland until the first half of the twentieth century. Using folk narratives about the Finnish Roma and proverbs as told by Finnish rural peasants, I investigate how such elements of everyday communication laid bare notions of social hierarchies. Historically, the sense of belonging to a nation has often been “invented” by the majority or by the people in power. Because the collecting of Finnish folklore was conducted primarily with an idealized notion of the peasant majority in mind, minority folklore or urban elements of life appeared inauthentic and thus not worthy of collection. Unlike the sedentary population, the Finnish Roma were itinerant, and they specifically became an object of ethnic folklore. The aim here is to understand the role of narrative culture in creating and maintaining institutionalized social differences.
Evidence from Fieldwork: Rural E-Commerce Development in China
Authors: Chen Yuyao , Tian Zhen
Published: November 2022

In recent years, the Party Central Committee has attached great importance to the "three rural issues." In this context, this paper adopts a field survey method to review several typical models of rural e-commerce to sort out the current development of rural e-commerce. In terms of business models, the main businesses of rural e-commerce include live streaming and short video sharing of agricultural supply sources, agricultural product sharing, live evaluation, and community-based exchange circles for agricultural products. In terms of profit models, the main revenue models of rural e-commerce at present are product transaction rebate profit, mall product service fee profit, and traffic revenue. In the context of rural revitalization, a live e-commerce MCN organization is established to build up a team of anchors through systematic knowledge acquisition and skill training. At the same time, using anchors as a bridge, the resources of agricultural products, farmers, and enterprises in different areas are integrated. Build up an e-commerce platform integrating talent output, content creation, and product sales. Relying on the currently popular short videos and live webcasts, farmers and enterprises will provide products, and the anchor team will promote and sell them. This is conducive to the continuous development of rural revitalization strategies.
Problems and Optimization Suggestions of Rural Public Management under Rural Revitalization
Authors: Zheng Yufan , Wu Jijia , Feng Xueyan , Li Li
Published: November 2022

To realize the rural revitalization strategy is an indispensable part of China's new journey to comprehensively build a modern socialist country. Rural revitalization has always been the key task of the Party and the broad masses of the people's concern. In the process of realizing rural vitalization, it is also urgent to solve the problems of "agriculture, rural areas and farmers". Therefore, our Party has always put solving the problems of "agriculture, rural areas and farmers" as the top priority in its work. Revitalization strategy in the country to push the era background, the rural grass-roots public management become one of the most important factors affecting the efficiency, in order to better achieve rural revitalization, it is necessary for us to rural grassroots public management research, some problems universally existing in the management of rural grassroots public and puts forward some Suggestions for optimization of innovative, In order to improve the operation efficiency of grassroots public management and better serve the people.
Analysis of the Development Prospect of Multi-platform Media Based on Users' Psychological Needs
Authors: She Baichuan
Published: November 2022

With the rapid development of mobile Internet and the increasing popularity of intelligent media digital terminal technology, people have entered the all-media era with visual images as the main media content. In the all-media era, all kinds of traditional media have been impacted by the Internet to varying degrees. The new technology, form and the psychological needs of the audience promote the development and changes of the content. Based on the above background, this paper explains the transformation of multi-platform new media, which is different from traditional media, clarifies the current situation and trend of audience demand from behavioral and psychological aspects, analyzes the development of multi-platform media based on users' psychological needs, and puts forward feasible countermeasures for the future development of this industry. Changes in technology, form, content and psychological needs of the audience will inevitably bring about new development of media communication. Relevant personnel should grasp the psychological needs of users in the new media era and respect their media usage habits, so that traditional media and multi-platform new media can be deeply integrated, thus continuously improving the influence of the media.
Research on Business Model Innovation Based on Big Data Analysis
Authors: Wang Jiaqi
Published: November 2022

With the continuous development of information technology, the network era is gradually coming and has an important impact on all industries, which makes the business model of enterprises have to keep pace with the times to achieve innovation, so as to enhance the competitive advantage of enterprises and promote the healthy development of enterprises. Driven by big data, the pace of business model change is faster. All kinds of data are being produced all over the world in an instant, and this momentum is getting stronger and stronger. Big data is an important ignition point to promote the business model to be updated and reformed, and it is also a key factor to promote the increasingly fierce market competition. Therefore, it is particularly important to strengthen the research on business model innovation driven by big data. Based on the background of the Internet age and computer technology, this paper explores the innovative strategy of business model, so as to promote the innovation of business model and the development of enterprises.
Study on the High Quality Development of Agricultural Economy in the Yangtze River Delta
Authors: Liu Xuan , Han Jinying , Sun Yangshunzi , Chen Ye
Published: November 2022

The Yangtze River Delta is a leading area for the high-quality development of China’s agricultural economy. Based on the data of the Yangtze River Delta from 2007 to 2019, this paper analyzes the current situation of high-quality agricultural development in the Yangtze River Delta and puts forward corresponding policy recommendations.
Investigation and Research on the Participation of Graduate Students in Academic Activities in Local Engineering Colleges
Authors: Sun Zepeng , Dang Le , He Shumin , Ruan Haobo
Published: November 2022

This study takes some postgraduate students of Guangxi University of Science and Technology as the object. We adopt the field investigation method and questionnaire survey method to investigate and analyze the participation of graduate students in local engineering universities. There are several major problems: the number and quality of research achievements of postgraduate students in our university are not qualified; the academic research ability needs to be further improved; the motivation to participate in academic activities needs to be improved; academic activities in forms are relatively simple and not rich in level; the frequency of participating in academic activities is not high. Based on the above problems, the following strategies are put forward: tutors could strengthen the guidance to their graduate students and encourage them to participate in academic activities; to carry out and diversify academic activities; to expand the horizons of graduate students and focus on national and international academic conferences.
Weight-bearing cross-country running influences on the knee articular cartilage -a study using T2 MRI and muscle monitoring
Authors: Dai Xu , Li Man , Ma Heji
Published: November 2022

The purpose of this study was to develop a quantitative method to acquire and analyze the transverse relaxation time (T2 relaxation) of the magnetic resonance imaging of in-vivo knee joint articular cartilage. To reveal the practical significance of this research, participants who underwent weight-bearing cross-country running were assessed by MR T2 imaging and knee functional test. As a result, temporary changes in the cartilage relaxation time at regions of interest were observed shortly post the running (P < 0.05), accompanying with EMG signal monitored in muscles around knee. This study shows the potentials of utilizing quantitative MRI T2 imaging technique as a non-invasive approach to detect the knee articular cartilage loading and stress, which is important for earlier prevention and intervention of cartilage lesions.
Forecast of COVID-19 Epidemic Trend Based on Multiple Linear Regression Model
Authors: Zou Yixi
Published: November 2022

At present, COVID-19 is prevalent all over the world, and countries are facing severe epidemic prevention and control problems. Most countries in the world have taken corresponding measures, and how to predict the dynamics and trends of the epidemic quickly and accurately plays a key role in the global joint efforts to fight the epidemic. Therefore, according to the spread characteristics of COVID-19 epidemic, this paper first analyzes the multiple linear regression model, and then predicts the epidemic trend of COVID-19 based on the multiple linear regression model. The experimental results showed that when COVID-19 broke out, the multiple linear regression model had a high accuracy, and its forecast results were in good agreement with the cumulative confirmed cases. This shows that this algorithm is more effective than other existing algorithms. Using multiple linear regression model to predict the epidemic trend of COVID-19 has certain theoretical and practical significance. Through the realization of this model, we can grasp the development and changes of epidemic situation in various regions in time in the management of epidemic prevention and control, prepare for epidemic prevention in advance through trend forecast, control epidemic situation in time and improve epidemic prevention effect.
Research and Applications Analysis of Knowledge Base Question Answering
Authors: Huang Jingyi
Published: November 2022

Knowledge Base Question Answering (KBQA) has become one of recent trends in Natural Language Processing (NLP). It helps solve question answering tasks in many fields, such as commerce, medical treatment, etc. This article represents research of KBQA from theory to practice. The concept of knowledge graph in a new way are defined, the steps for building a basic knowledge graph are listed. The category of knowledge base is generalized. This article analyzes the category of knowledge based on systems and introduces the definition and working principle of KBQA. This article also introduces two main approaches used in KBQA, Information Retrieval-based (IR-based) methods and Semantic Parsing-based (SP-based) methods, including summarizing pipeline frameworks of these two approaches and the comparison between them. Two successful applications of KBQA, Meituan and AliMe, including researching on the schema of knowledge graph and pipeline frameworks are discussed in this article. Moreover, this article analyzes the applicable scenes of the two applications and analyzes the main challenges of KBQA.
Analysis on the Recent Trends in Machine Translation
Authors: Song Ruimeng
Published: November 2022

Machine translation is to translate one language into another language, which has undergone a great evolution. The model of machine translation has been continuously improved, aiming to make the translation effect closer to the artificial translation. This article briefly summarizes the development history of machine translation, and introduces the main models of each stage of development. The initial machine translation mode is the Rule Based Machine Translation (RBMT) and Statistical Machine Translation (SMT). Recent mainstream translation approach enables Neural Machine Translation (NMT). It includes the input and the output, attention mechanism, and BLEU evaluation method. On this basis, there are also many expansion and innovation models, such as GPKD and other models to improve the evaluation effect. In general, machine translation can replace a part of human translation. However, it cannot completely replace human beings, because of the different human thinking and machine logic. People and machines have to cooperate with each other to improve the common efficiency.
Researches advanced in Natural Scenes Text Detection Based on Deep Learning
Authors: Zhao Qingyang
Published: November 2022

The research on text detection and recognition in natural scenes is of great significance for obtaining information from scenes. Thanks to the rapid development of convolutional neural networks and the continuous proposal of scene text detection methods based on deep learning, breakthroughs have been made in the recognition accuracy and speed of scene texts. This paper mainly sorts, analyzes and summarizes the scene text detection method based on deep learning and its development. Firstly, the related research background and significance of scene text detection are discussed. Then, the second part is the elaboration of some main technical research routes of scene text detection. According to the timeline of the detection methods, the specific contents of various text detection models are further introduced. Thirdly, this paper compares and analyzes the experimental results of different models. Furthermore, improvements of some models with relationship, effects, advantages and disadvantages and expectations are further introduced. Finally, the challenges and development trends of scene text detection technology based on deep learning are summarized.
A Study on the Acceptance Attitudes of Chinese Populations Towards Service Robots in the Midst of an Epidemic
Authors: SU Dikun
Published: November 2022

Before the World Health Organization declared novel coronavirus pneumonia (COVID-19) a pandemic in 2019, service robots were already in use and in the process of being further developed. In the wake of the COVID-19 outbreak, frontline service robots became a hot topic of discussion to keep social distance and control the outbreak. And now, as each country adapts to the new crown epidemic normality, China is still pursuing a dynamic clearance policy. In this particular context, and in turn, the analysis online review examines the perceptions and attitudes of the Chinese public towards the application of robots in the service industry. Their evaluations of service robots on five dimensions are summarized. It is concluded that the public is more receptive to service robots, finds them useful for epidemic prevention and control and is amused and curious. This provides a reference for those in charge of many service industries, such as the hospitality tourism industry, to take advantage of this opportunity to develop services as a combination of robots and humans to further broaden the market.
Research on raw material ordering and transportation scheme of production enterprises based on genetic algorithm
Authors: Zhang Runnan , Guo Honglin
Published: November 2022

With the deepening of China's reform and opening up and the gradual improvement of productivity level,the production enterprises of construction and decoration panels have gradually sprung up. In order to improve the production efficiency of enterprises and reduce the loss of raw materials, this paper establishes an analytical hierarchical model, and a 0-1 goal programming model. Based on the analysis of the problem, it pays attention to the connection between the questions. A rational solution for ordering and transporting raw materials based on the 0-1 goal programming model is also proposed in conjunction with real-life practice. In this paper, the problem is solved by building several mathematical models and the results are entered in Annex A and Annex B. After the model is implemented and tested, significant improvements are found. In addition, the model is improved by a genetic algorithm so that the model is well applicable and generalizable.
Comprehensive Analysis of Battery Thermal Management Systems for New Energy Vehicles
Authors: Lin Hao , Chen Hongxuan , Lv Peiwen
Published: November 2022

In recent years, challenges such as energy scarcity and environmental pollution have become more serious, presenting tremendous prospects for creating new energy vehicles and enabling new energy vehicles to develop swiftly. However, the service life of the power battery of new energy vehicles, the battery capacity is too small and the charging time is extended, etc. have become the bottleneck restricting the development of new energy vehicles, and an effective battery thermal management system is a necessary way to solve these problems. This article describes and evaluates the state-of-arts battery thermal management system plan for new energy cars and introduces the working concept of air, liquid, and phase change cooling systems. This study can assist readers in forming a more thorough knowledge of the evolution of battery thermal management technology for new energy vehicles and give researchers suggestions for thinking about crucial technologies.
Research on Application of Computer Artificial Intelligence Technology in Sports Economic Big Data Analysis
Authors: Huang Li , Zhang Yang
Published: November 2022

People's fitness concept is becoming more and more mature. The general public has also begun to pursue a higher quality of healthy life. The improvement of physical fitness has become an important part of a healthy life. Sports shoes and clothing, exercise equipment, health management, etc. have become people's daily sports and fitness consumption. At the same time, "intelligence + sports economy" makes more and more people look forward to sports. Intelligent sports that are in line with emerging technologies enter people's lives. Various sports apps, wearable smart devices, etc. not only make people Sports information is digitized, and big data technology can be used to analyze the collected data. For example, the detection of user's fat consumption and sleep quality provides scientific support for users' physical fitness. Sports consumption has become a driving force for the upgrading of the sports industry. Important grip.
Economic Research on Computer Virtual Reality Technology in Sports Training Simulation
Authors: Xie Xiaolan , Sun Pan
Published: November 2022

With the rapid improvement of virtual reality technology, sports training has introduced an electronic simulation training scene simulation system. The system can perform virtual modeling for traditional sports training scenes, develop and implement a virtual training system with a strong sense of immersion and realism, and can allocate an account for each student. By wearing professional equipment, sports training virtual The simulation system can systematically study and train without being restricted by time and space, and can feedback physiological indicators at any time and provide them to the trainer for adjustment, and can effectively stimulate the initiative and interest of athletes in training, and has a good economy sex.
Convolutional Neural Network Based on Brain Tumor Identification and Classification
Authors: Wang Bowei
Published: November 2022

The human brain is one of the body's most major organs. If there are problems within the human brain, they may cause serious consequences, and even endangers the human life. One of the most fatal diseases for humans is a brain tumor. In the old days, tumor detection was done manually by doctors through reading magnetic resonance images, which might not be time efficient, and sometimes may even produce inaccurate results. Nowadays, with the development of science and technology, Artificial Intelligence (AI) is present in many fields in human life, including medical field. Tumor detection with AI is one of the applications that technology changes human life. The Convolution Neural Network (CNN), a prominent algorithm in deep learning, is widely employed in tumor identification. In this study, a CNN model is proposed. Over 7000 brain tumor magnetic resonance images, including glioma, meningioma, no tumor and pituitary are used in this study. The images are also preprocessed to improve the accuracy of the proposed models. In this study, the well-known VGG16 model, which is a pretrained deep learning model, is utilized to compare with the proposed model. The proposed model and the VGG16 model are trained and evaluated using both the original (uncropped) images and preprocessed (cropped) images. The results of the experiment indicate that the suggested model exceeds the VGG16 model in the light of loss and accuracy.
Research on Quality Control of Ore Processing Based on Xgboost and Decision Tree Algorithm
Authors: Liang Xiyuan
Published: November 2022

Improving the quality of ore processing can directly or indirectly save non-renewable mineral resources and the energy required for processing, thus promoting energy saving and emission reduction and helping to achieve the goal of "double carbon". Ore processing is a complex process, in which voltage, water pressure and temperature, as important factors affecting ore processing, directly affect the quality of ore products. In order to explore the influence of temperature and other factors on ore quality and qualification rate, the corresponding model is established to solve the model of predicting four product quality indexes by system temperature, and fully consider the influence of other uncertain factors to predict the highest possible product quality index at similar temperature.
Using Stepwise Method to Find the Most Influencing Feature to the Cell Nuclei of a Breast Mass
Authors: Huang Pengwei
Published: November 2022

In real life, the influencing factors that lead to an outcome are varied and complex. However, how to organize the complex variable relationship into a concise and effective model for prediction is critical. Therefore, the Stepwise method was used in this study to organize the relationship between malignant and benign detection of breast cancer tumors and changes in cell characteristics into a model. In this paper, the diagnosis data of breast cancer of patients in the hospital were quoted. The benign and malignant characteristics of breast cancer were taken as independent variables, and the characteristic changes of cells were taken as dependent variables to conduct data analysis with R language, so as to obtain the most effective model. The results show that the prediction accuracy of the model obtained by AIC method is the highest. AIC selected seven dependent variables and reached 79.8 percent. The model prediction accuracy of BIC was 77.2 percent. Compared with AIC method, BIC only selected four dependent variables and obtained a more concise model. However, BIC is too concise and loses the accuracy of model prediction in some aspects.
Deep Learning Techniques for Fake News Detection
Authors: Fang Kairui
Published: November 2022

Social media has recently become the primary source for people to consume news. Plenty of users prefer to go to social media apps such as Twitter, Facebook, and Snapchat to obtain the latest social events and news. Meanwhile, traditional media is emulating the new media to post their news on the aforementioned apps. This prevalence is a double-edged sword, for the advantage is that users can easily gain access to the news articles they look for on social media. However, it also provides an ideal platform for fake news propagation. The spread of fake news is extremely fast on social media and can cause adverse effects in real life. The unregimented, incomplete censorship and the absence of fact-checking processes make fake news easy to propagate and hard to control. Therefore, fake news detection on social media has become a trending topic that draws tremendous attention, as shown in figure 1. Nevertheless, as pundits dig into the realm of deep learning, some of the studies utilize deep neural networks (DNN) to build frameworks that would help detect fake news. Although impressive progress on the topic has been made, the lack of a review dissertation that summarizes and synthesizes the overall development of the study would be problematic. Hence, this paper aims to summarize different models implemented in recent studies that improve the veracity of fake news detection.
Application of remote sensing technology in water quality monitoring
Authors: Jin Dian
Published: November 2022

Water is the source of life, and water quality is one of the world's significant environmental problems today; the current state of water quality problems is worrying. Traditional water quality monitoring methods usually use buoys to carry sensors or manual sampling for real-time field water quality monitoring. These methods, although the monitoring accuracy is high, are labor-intensive, expensive and time-consuming. Remote sensing technology now occupies an increasingly important position in water quality monitoring because of its low cost, wide range and fast response time. This study introduces the research status and development problems of water quality remote sensing monitoring neighborhood from water quality remote sensing principle, data source, indicators, and monitoring methods. Results show that the data source mainly contains satellite and emerging UAV data. The remote sensing indicators typically include FUI, suspended solids, CDOM, Chl-a, and TN; Traditional methods like empirical and semi-empirical methods, and developing methods like analytic method and the surging machine learning and automation methods.