bluuebunny/crossref_metadata_2025 huggingface dataset:
Mobility and the Security Paradigm: How Immigration Became Securitized in Finnish Law and Policy
Authors: Palander Jaana , Pellander Saara
Published: November 2022

Alongside the emergence of the new mobility paradigm (Sheller and Urry 2006), especially in the social sciences, the security paradigm has gained importance as well. It is said that “the security paradigm is now becoming so ingrained that it is impossible to ignore the impact of security concerns on the development of migration policy” (Collyer 2006, 255). The mobility of people is shaped by a variety of formal and informal institutions, such as laws and policies that influence which groups have the right to travel to and reside in a certain country. This article is concerned with Finnish border and immigration regimes and the interplay between mobility and security within law and policy. The paper offers a historical account on the way in which security has been involved in the governance of immigration in Finland. We analyze policy reports, legal texts, case law, parliamentary plenary debates, and minutes of committee hearings that shape and define mobility. By combining political history with legal analysis, the article takes a transdisciplinary approach to mobility and its limits and sheds new light into the discussion of the mobility paradigm.

Our analysis provides empirical evidence that there has been a clear movement toward increased securitization over time. In political speech, restrictive measures are justified by a presumed threat to Finland's national security. The individual rights of migrants and notions of the human security of migrants appear in these debates on the other end of the spectrum.
From In-Betweenness to Invisibility: Changing Representations of Sweden Finnish Authors
Authors: Liimatainen Tuire
Published: November 2022

In this article, I examine representations of Sweden Finnish authors Antti Jalava and Susanna Alakoski in Swedish literature reviews in the 1980s and 2000s. The study builds on constructivist views of ethnicity and identity in order to understand Sweden Finns' changing status in a multicultural Sweden. In addition, the article discusses Sweden Finnish literature in relation to recent studies and debates on immigrant literature in Sweden.

Sweden Finns are a Finnish ethno-linguistic group, who were recognized as a national minority in Sweden in 2000. Immigrants and their descendants are generally excluded from minority policies. Although Finns and the Finnish language have a historical presence in Sweden, most present-day Finnish speakers in Sweden, or those identifying themselves as Sweden Finns, have their background in post-World War II labor migration or even in more recent migration. In addition to integration, Sweden Finns' status as a national minority derives from a growing awareness of Finnish history in Sweden, but also from a unique combination of national, bilateral Finnish Swedish politics as well as Nordic cooperation. Therefore, the rapid change in Sweden Finns' societal status from immigrants to a national minority in a few decades raises questions about how different ethnic and cultural boundaries are drawn and redrawn in different times. In order to examine these changing ethnic categories, I use critical discourse analysis (CDA) to analyze how the Swedish majority media have portrayed authors with Finnish background at different times, and how these representations reflect Sweden Finns' changing societal status in Sweden. As material, eighteen literature reviews from Swedish newspapers regarding Antti Jalava's novel Asfaltblomman (1980) and Susanna Alakoski's novel Svinalängorna (2006) are analyzed with a focus on author representations and questions of ethnicity and authenticity.

The results of the study show that author representations reflect Sweden Finns' integration into Swedish society. While Jalava was mostly depicted as an immigrant or as “neither Swedish nor Finnish” in the early 1980s, Alakoski was instead seen foremost as part of the Swedish literary canon through representation as a working-class author. However, despite Sweden Finns' recognition as a national minority, as well as Alakoski's own migrant background, she was represented neither as a Sweden Finn nor as someone with an immigrant background, although her Finnish background was implicitly acknowledged. Therefore, the study also contributes to contemporary studies of immigrant literature in Sweden by highlighting the exoticizing and racializing aspects of the contemporary discursive construction of “immigrant literature” and “immigrant author.”
Between Religious Identity and National Identity? Pentecostal Finnish Roma in Lutheran Finland
Authors: Roman Raluca Bianca
Published: November 2022

Based on extensive ethnographic fieldwork, this article focuses on the present-day belonging of Finnish Roma to Pentecostalism. On the one hand, in what appears to be a ladder of social mobility, Pentecostalism provides Roma with the opportunity for enhanced participation in the nation-state, thus enhancing their relationship with the majority Finns. On the other hand, Lutheranism continues to be a symbol of Finnish belonging and a symbol of unity across the Nordic countries. Therefore, in the case of a historically marginalized group adopting a minority religious denomination, this article explores the complex relationship between community belonging, religious identity, and national engagement, and the ways in which these become entangled with one another. The aim is thus to introduce a contemporary perspective on how minorities themselves are actively engaged and reflect upon their role within their society, while also developing grassroots “strategies” of connecting with others (majority “Finns”), and with one another.
Smart home design based on Alibaba Cloud
Authors: Lu Zhigang , Hu Jian , Niu Tao , Zuo Yonggang
Published: November 2022

With the continuous progress of science and technology, the pace of social informatization is also accelerating, people's demand for a safe, comfortable and controllable intelligent home environment is growing. In this paper, we design a iot based on ali cloud platform control system of smart home solutions, choose stm32 microcontroller as the main control unit, ali as a hardware device, a time server and related sensors for home fire alarm, intelligent entrance guard, infrared detection, temperature and humidity detection display, light intensity, and other functions. The ESP8266 module is used as the wireless communication module to realize the data communication between hardware and software. A WeChat small program is designed as the upper computer of the user terminal to realize the intelligent management of the user terminal for home. Users can check the running status of related devices at home at any time in the WeChat mini program, such as temperature and humidity, smoke status, and whether someone has invaded.
Research on the Fusion Trend of Artificial Intelligence and VR Based on Data Mining
Authors: Ren Qiong , Chang Junming
Published: November 2022

The definition and research background of artificial intelligence, data mining, and VR, and the application of data mining artificial intelligence, such as system design applications and intelligent service applications, are scientifically expounded, which reflects the knowledge economy. In order to further broaden the application scope and efficiency of AI, we should constantly strengthen the application research of data mining in AI. In database knowledge discovery, the interpretation and evaluation of data mining results in an important link.
Review of pedestrian trajectory prediction methods
Authors: Tan Xiaochuan , Liu Ruiyuan , Zhang Shuai , Li Jiaojiao , Ma Pengcheng
Published: November 2022

Urban driverless vehicles will inevitably interact with pedestrians in the process of driving. In order to avoid path conflict with pedestrians, the research on pedestrian trajectory prediction is of great significance. This paper mainly summarizes the technical classification and research status of pedestrian trajectory prediction at this stage in detail. According to the different modeling methods, the existing trajectory prediction methods are divided into shallow learning-based trajectory prediction methods and depth learning based trajectory prediction methods. The advantages and disadvantages of the depth learning based trajectory prediction methods are compared, and the current mainstream pedestrian trajectory prediction public dataset is summarized, and the performance of the mainstream pedestrian trajectory prediction methods is compared in the dataset. Finally, the challenges and development trend of pedestrian trajectory prediction at this stage are prospected.
Application of Agile Project Management in Software R&D Management of M Enterprise
Authors: Liu Tong
Published: November 2022

With the rapid development of information and network technology, the scale and complexity of software are becoming larger and larger, and the traditional software development process has become increasingly difficult to cope with the rapidly changing market. In the fierce market competition, more software development teams begin to use lightweight agile management methods to replace the traditional software project management process. Due to the incremental nature of agile methods and their emphasis on communication and people-centered values, some conventional software project management processes and methods cannot be applied. First of all, through the analysis of the current situation of software management projects and the quality problems in the agile process, the direction of quality improvement is clarified.
A Survey of Low-light Image Enhancement
Authors: Liu Weiqiang , Zhao Peng , Song Xiangying , Zhang Bo
Published: November 2022

With the higher requirements of computer vision image enhancement of low-light image has become an important research content of computer vision. Traditional low-light image enhancement algorithms can improve image brightness and detailed visibility to varying degrees, but due to their strict mathematical derivation, such methods have bottlenecks and are difficult to break through their limits. With the development of deep learning and the birth of large-scale data sets, low-light image enhancement based on deep learning has become the mainstream trend. In this paper, first of all, the traditional low-light image enhancement algorithms are classified, summarized the improvement process of the traditional method, then the image enhancement method based on the deep learning are introduced, at the same time on the network structure and is suitable for the method of combing the network part, after the introduction to the experiment database and enhance image evaluation criteria. Based on the discussion of the above situation, combined with the actual situation, this paper points out the limitations of the current technology, and predicts its development trend.
Stock Trend Forecasting Using the ARIMA Model
Authors: Dong Can
Published: November 2022

Stocks have always been a very important tool in the investment market. Nowadays, the stock market attracts a large number of investors as more and more people are exposed to investing their money. One of the most attractive features of equities for investors is the high returns, however, the high risks are also affecting investors’ confidence. Therefore, predicting the long-term performance of the stock market can lower the risk and give investors more ideas on how to invest and help them understand the future trend of their preferred stocks, thus reducing their risk rate. In this paper, the author proposed a stock predicting method based on the closing prices of Ford Motor Company over the past 50 years. In the selection of the model, the ADF test was utilized and by analyzing the dataset, the author demonstrated that the stock closing price is a non-stationary series and therefore the ARIMA model is selected. After differencing the series, a stationary series was obtained, and the best parameter was chosen based on Auto-ARIMA analyses. Furthermore, the author obtained the long-term trend graph based on the model output and analyzed the accuracy of the prediction results by RMSE and MAPE tests. In addition, by bringing data from other stock markets into the experiment, it is evident that the ARIMA model can be effective when predicting long-term trend of stocks and is able to be used as a method to forecast stock prices.
Reliability evaluation of electro spindle based on no-failure data
Authors: Han Chenyu , Lin Tingnan
Published: November 2022

Electric spindle is a key functional component of CNC machining equipment including CNC machine tools, and its reliability level is a key bottleneck factor restricting the reliability of high-end CNC equipment. So far, the research on the reliability evaluation method of electric spindle is still in its infancy, and there is a lack of Systematic and complete theoretical support. The motorized spindle is a typical high-reliability and long-life product, and it is difficult to fail or fail due to obvious performance degradation within a limited test time. Therefore, the traditional reliability evaluation method based on statistical theory is not effective. Therefore, it is of great significance to carry out the early reliability test of the motorized spindle and the reliability evaluation of the motorized spindle without failure data, which is of great significance to reasonably evaluate the reliability level of the motorized spindle. At present, when there is no failure data or very little failure data for the motorized spindle of the machine tool, only the point estimate of the parameter or the one-sided confidence interval of the parameter can be calculated, and it is extremely difficult to obtain the point estimate and the interval estimate at the same time, which will affect the reliability analysis results. Consistency. In order to solve this problem, this paper takes a certain type of CNC machine tool motorized spindle as the research object, and determines the monitoring points and monitoring information according to the failure analysis of similar motorized spindles; combines the test information to evaluate the reliability of the motorized spindle without failure data. The reliability evaluation method of the motorized spindle proposed in this paper can effectively avoid the problem that the traditional method cannot be analyzed when there is no failure data, and provides a new idea for the reliability evaluation of the motorized spindle.
Optimal ordering and transportation scheme of raw materials in production enterprises based on objective programming model
Authors: Liang Jie
Published: November 2022

In order to better realize the development of construction production enterprises and create greater profit space for them, based on the relevant data of raw material suppliers and forwarders of a production enterprise within five years, this paper first uses ARIMA algorithm to solve the enterprise's ordering scheme, and then uses 0-1 integer programming to find the constraints between suppliers and forwarders, Finally, LINGO software is used to build the target programming model to solve the 24-week transfer scheme.
SEIR-Based Model for India COVID-19 Prediction
Authors: Meng Tan , Ye Peidong , Zhao Yifei , Zheng Jie , Zuo Xiaoxue
Published: November 2022

Up to August 19, 2021, there have been 207,784,507 confirmed cases and 4,370,424 confirmed deaths worldwide because of the COVID-19. Facing such a difficult situation of the epidemic situation of COVID-19, all the countries must struggle together and help each other. Just as the Peterson Institute for International Economics says in their report: The pandemic is not under control anywhere unless controlled everywhere. Therefore, it is crucial to pay more attention to the developing countries with fewer vaccines of COVID-19 and insufficient medical resources. Considering that India is one of the largest developing countries and the epidemic situation there is very serious, we decided to choose India as our research object. We propose a modified SEIR model, added the vaccination rate and the stringency of isolation measures - two crucial factors of the development of the COVID-19. It can be a helpful reference to comparative research and policies of governments and help us better judge the epidemic situation in developing countries.
The change characteristics of the Mach number used in different spaces on the pressure of the local wing and the subsequent improvement of the aircraft wing
Authors: Zhang Guohua , Zhou Ziyao
Published: November 2022

Fluid mechanics is not only applicable to aerospace, but also to our mechanical design, considering the comprehensive ability to make our manufacturing more reasonable and accurate, and keep us safe. In this paper, the fluidity of air fluid is analyzed and studied by programming method. By changing different parameters, different flow field distribution diagrams are finally obtained. The research results have reference value for practical engineering applications.
5G Smart Classroom Construction Based on Linear System Mathematical Model
Authors: Wan Xiaoling , Huang Xinqun
Published: November 2022

The mathematical model is to abstract the actual problem in mathematical language, and then reflect or approximate the mathematical description of the actual problem from the mathematical point of view. The whole process of establishing the mathematical model is called mathematical modeling. The article aims to discuss the function of mathematical modeling in the construction of smart classroom under 5G techniques. Relying on 5G technology to create a smart classroom based on holographic technology, which is used in schools to connect with famous teachers from all over the world to teach, teachers and students can participate in interactive teaching, improve the quality of teaching, and enhance the learning experience.
Weibo Depression Posts Detection by Natural Language Processing
Authors: Li Chengbo , Liu Honghong , Yin Bochen , Yang Jiaying
Published: November 2022

The goal of this paper is to detect depression based on the posts on social media. The dataset combined both tweet dataset and Weibo dataset scraped from the social media. To classify emotions, researchers have been using traditional models such as Bagging, Support Vector Machines, Decision tree, Multinomial Naïve Bayesian and K-nearest neighbor. In this paper, K- nearest neighbor is chosen based on the better precision in result. The main challenge is Chinese context translation and complexity of the context of the post. Finally, an UI page is designed to complete the mission to input a Weibo ID and output of the depression classification. Our approach achieves relatively higher quality results compared to the previous models in literature, while combining depression detection with the real-time social media posts. With this system, we demonstrate the practicability of our project by predicting the depression situation of Internet users through the model, to bring help to the depressed people or people with potential depression tendencies in society.
Population Classification Model of Liaoning Province Based on Cluster Analysis
Authors: Dai Muxuan
Published: November 2022

Aiming at the problem of urban shrinkage in Liaoning Province, this paper established a population classification model by systematic clustering method. Based on two indicators of population contraction and GDP contraction, we defined the shrinkage rate, and classified 30 cities in Liaoning Province according to the shrinkage rate. Firstly, the weights of population contraction and GDP contraction were calculated by using the analytic hierarchy process. Secondly, the average annual growth rate of the two is weighted, and the shrinkage rate is defined as the weighted value. Then, based on the systematic clustering method, the population classification model was established by using the classical Euclidean distance, and the 30 cities were classified by SPSS software. The results of this paper on shrinking cities have important reference value for examining the future development trend of a city.
Technologies of CO2 Reduction to Fuels in the Background of “Carbon Neutrality”: Current Status, Analytic Comparison and Future Prospect
Authors: He Siying
Published: November 2022

In the background of carbon neutrality, the reduction of CO2 to fuel is a promising and valuable win-win technology that both reduces carbon dioxide emissions which is a major factor in the greenhouse effect and solves the energy crisis of the constant consumption of fossil fuels, enabling a carbon-neutral cycle and sustainable development. This article outlines and categorizes the current research progress and barriers and future perspectives of the main carbon dioxide conversion technologies of enzymatic, electrochemical, and photochemical catalysis, respectively, and introduces the technologies of them in which the products can be used as/converted into fuels (procedures, catalyst synthesis method, efficiency and yield, the corresponding principle and the product for fuel use), then analyzes and compares these technologies including advantages and disadvantages. It is found that although the current carbon dioxide conversion technology has made great achievements, modified enzymes, improved multi-enzyme systems, nanostructures, composite copper electrodes, co-photocatalysts, etc., have played an important role. However, poor product selectivity, poor catalyst stability, low reaction rate, high cost, etc., are still existing problems. Finally, the prospects of CO2-to-fuel technology from technical, economic and policy aspects are presented in this paper to better apply in large-scale industry and commerce.
Causes and Effects of the November 2021 Pacific Northwestern Floods in British Columbia
Authors: Lai Chuqiao , Liu Xi , Su Wuyang , Zheng Anni
Published: November 2022

Global warming can result in high frequency in precipitation in some areas, and as a result of high precipitation, floods may occur more frequently and may cause more damage to urban areas. The Pacific Northwestern Flooding event that happened between November 14, 2021, to December 17, 2021, is a series of recent flooding events, and it can reasonably be the most expensive flooding event in British Columbia history. This study used QGIS tools to analyze the topographical characteristics of Vancouver in contribution to the severity of the floods. This study also organized reports on the infrastructure, population, and economic impacts of the floods in British Columbia, where Vancouver settled. Results show that Vancouver is generally low in altitude, with some areas in pot shape, making it easy for floods to invade. There was also an increase in rainfall frequency in Vancouver in the past 50 years, which aided the severity of floods. The flooding event in British Columbia has led to transportation damages, fatalities and injuries, and economic losses. Some suggestions for urban planning and administration in conscious of the presence of more severe flooding events are proposed such as comprehensive emergency management program.
Application of MODIS Data-Based Forest Fire Monitoring and Assessment
Authors: Shen Ruiyun
Published: November 2022

Forest fires are uncontrollable fires that spread freely within forest land, causing significant harm and damage, and thus its monitoring and assessment are crucial. There is a wide range of applications of MODIS data in forest fires aspect, but they are mainly targeted to solve regional problems. This study addresses MODIS data technology and examples of its application to forest fires in the Heilongjiang, Australia, Fujian Province, and Daxinganling Mountains, confirming its potential for monitoring and assessing forest fires. MODIS images and fire products contribute significantly to the usefulness and accuracy in the dynamic identification monitoring of forest fires and accurate determination of the ignition place due to their high resolution, excellent calibration, and positioning processing. MODIS and its corresponding product datasets can also be used to construct multiple vegetation and associated indicators to acquire vegetation area changes and to analyze the damage caused by forest fires. It is the ideal data source for monitoring and assessing forest fires.
Research on the Reform of Online Teaching Mode in Colleges and Universities
Authors: Chang Xin
Published: November 2022

With the opening of a worldwide epidemic - COVID-19, a new teaching model in the history of education - "online teaching" model has been promoted and popularized, which will be a good opportunity for the reform and innovation of traditional teaching models. This paper probes into the problems and reform of online teaching mode in colleges and universities.
Exploring the causes of college students' English writing anxiety
Authors: Li Xiang
Published: November 2022

Since the implementation of "Teaching Guide" for two years, there is a lack of relevant research to test the implementation effect from the perspective of college students' feedback. This paper actively explores the causes of English writing anxiety from the perspective of English writing learners, and conducts a survey in the form of semi-structured interviews, so as to explore the significance of the "Teaching Guide" in reducing English writing anxiety and ensure the implementation of special English writing teaching. Effect. We found that English writing anxiety is still prevalent, which provides teachers with a new perspective on targeted teaching activities.
Islamitische godsdienstlessen: naar een integratief pedagogisch-didactisch model
Authors: Essabane Kamel
Published: November 2022

In Flanders (Belgium) and in the Netherlands, confessional religious education (RE) as organized in publicly recognized and state-funded schools has often been criticized. The main criticisms are that confessional RE in general, and Islamic RE in particular, has an outdated pedagogy, while its content does not fit in contemporary Western society. In Flanders and in the Netherlands, many teachers of Islamic RE struggle with the question how confessional Islamic RE can, both pedagogically and with regard to content, be faithful towards the Islamic tradition and at the same time connect with contemporary Western society. In this contribution, the author argues that an integrative perspective on Islamic pedagogy, with particular attention for the rich hermeneutical tradition in Islam, could transcend this dichotomy.
Benchmarking Machine Learning for Sentimental Analysis of Climate Change Tweets in Social Internet of Things
Authors:   Department of Entrepreneurship and Logistics, Plekhanov Russian University of Economics, 117997, Moscow, Russia, Pustokhina Irina V. ,   Department of Logistics, State University of Management, 109542, Moscow, Russia, Pustokhin Denis A.
Published: November 2022

Climate change has become one of the most critical problems threatening our world, gaining increased attention in either academia or industry. Climate change has been demonstrated as the major barrier in the way of sustainable development strategy in the 2030 Agenda. Nowadays, the Social Internet of Things (SIoT) has paved new ways for public deliberations and has transformed the communication of global issues such as climate change. Thus, sentiment analysis of SIoT media streams can offer great help in improving the mitigation and adaptation to climate change. Machine learning (ML) is demonstrating great success in a wide range of SIoT applications. However, training ML algorithms for sentimental analysis of climate change is notoriously hard as it suffers from feature engineering issues, information squashing, unbalancing, and curse-of-dimensionality, which bounds their possible power for modeling social awareness of climate change. Besides, the absence of a standard benchmark with reasonable and dependable experimentations brings a practically intractable difficulty to the evaluation of the efficiency of new solutions. In this regard, this study introduces the first reasonable and reproducible benchmark devoted to evaluating the potential of ML algorithms in identifying users’ opinions about climate change. Moreover, a novel taxonomy is presented for categorizing the existing ML algorithms, exploring their optimal hyperparameter, and unifying their elementary settings. Inclusive experiments are then performed on real Twitter data with different families of ML algorithms. To promote further study, a detailed analysis is provided for the state of the field to uncover the open research challenges and promising future directions.
Machine learning for False Information Detection in Social Internet of Things
Authors:   Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharqiyah, 44519, Egypt, Ismail Mahmoud M. ,   Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharqiyah, 44519, Egypt,   Department of Applied and Computer Sciences, Barleti University, Albania,   Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharqiyah, 44519, Egypt, Mostafa Nihal N. , Kazia Esmeralda , Elhenawy Ibrahim
Published: November 2022

By capitalizing on object relationships and local navigability, the social internet of things (SIoT) is one of the burgeoning paradigms that could solve the technical challenges of conventional IoT. Because of this paradigm's capacity to combine conventional IoT with social media, it is possible to create smart objects and services with greater utility than those created using conventional IoT infrastructures. In recent years, scholars have become interested in SIoT, leading to a plethora of works examining various mechanisms for providing services and technologies within this context. In this vein, we present a comprehensive review of recent research covering important aspects of SIoT. In this research, we give a detailed justification for the function of several machine learning paradigms and provide a practical application of it to unexamined concerns relating to erroneous data and other social IoT. First, we give a classification of false news detection approaches and an analysis of these techniques. Second, the potential uses for detecting fake news are examined at length, including how it might be applied to the areas of fake profile detection, traffic management, bullying detection, etc . We also suggested a detailed review of the possibilities of machine learning algorithms for detecting bogus news and intervening in social networks. In our paper, we introduce categories of fake news detection methods providing a comparison between these methods. After that, the promising applications for false news detection are extensively discussed in terms of fake account detection, bot detection, bullying detection, and the security and privacy of SIoT. After all, A thorough discussion of the potential of machine learning approaches for fake news detection and interventions in SIoT networks along with the state-of-the-art challenges, opportunities, and future search prospects. This article seeks for aiding the readers and researchers in explaining the motive and role of the different machine learning paradigms to offer them a comprehensive realization of so far unexplored issues related to false information and other scenarios of SIoT networks.
Pemanfaatan Perpustakaan Sekolah terhadap Peningkatan Prestasi Belajar Siswa Sekolah Dasar di Kabupaten Selayar
Authors: Nurlaelah Nurlaelah
Published: November 2022

Penelitian ini bertujuan untuk mendeskripsikan situasi pemanfaatan Perpustakaan Sekolah terhadap peningkatan prestasi belajar siswa kelas IV di SDI kampung tangnga kabupaten selayar dan faktor pendukung dan penghambatnya.  Perpustkaan sekolah pada umumnya tidak dapat dimanfaatkan oleh siswa secara maksimal karena beberapa factor termasuk kurang exsamplar dan judul-judul referensi yang menaaik dan dibutuhkan siswa masih kurang. Selain itu, pihak wali kelas kurang mengarahkan siswa untuk memanfaatkan perpustakaan tersebut. Subjek penelitian ini adalah petugas perpustakaan, guru wali kelas IV dan peserta didik kelas IV SDI kampung tangnga kabupaten selayar tahun pelajaran 2022. Lokasi penelitian di SDI kampung tangga yang terletak di desa Teluk kampe Kecamatan pasimasunggu Kabupaten Selayar. Teknik pengumpulan data yang digunakan adalah Observasi, Wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa pemanfaatan perpustakaan sekolah terhadap peningkatan prestasi belajar siswa kelas IV di SDI kampung tangnga masih lemah, karena fasilitas perpustakaan belum memadai baik dari aspek ketersedian buku-buku pelajaran maupun buku-buku pendukung serta pengelolaanya belum maksimal. Oleh karena itu, yang merupakan aspek penghabatnya adalah aspek pengelolaan dan fasilitas yang belum memadai.  Sedangkan aspek pendukungnya adalah semangat siswa itu sendiri.
MOTIVAÇÕES E GARGALOS DA POLÍTICA DE GARANTIA DE PREÇO MÍNIMO DOS PRODUTOS DA SOCIOBIODIVERSIDADE NO AMAPÁ
Authors: Superti Eliane , Pinto Uzian , Cialdella Nathalie
Published: November 2022

Este artigo analisa a política pública em contexto de populações rurais amazônicas, com exemplo da política de garantia do preço mínimo dos produtos da sociobiodiversidade (PGPM-BIO). O objetivo foi compreender, sob a perspectiva dos extrativistas de açaí, as motivações e os gargalos que os levam a não acessar a política para receber a subvenção a que têm direito quando da venda abaixo do preço mínimo. A pesquisa foi realizada com extrativistas de Mazagão, segundo maior município do estado do Amapá em termos de volume de produção de frutos. A metodologia utilizada foi pesquisa bibliográfica, investigação documental, diário de campo, grupo focal, aplicação de questionários e entrevistas. Os resultados da pesquisa mostram que as motivações estão ligadas a quatro principais gargalos que desmotivam o extrativistas e limitam o alcance da PGPM-BIO: 1) a pouca difusão de informações qualificadas para os produtor extrativistas; 2) a governança da cadeia em modelo informal relacional; 3) a ausência de infraestrutura de internet; e 4) o uso de meios burocráticos distantes da realidade dos extrativistas. A PGPM-BIO, a pesar de partir de reivindicações dos trabalhadores rurais e ser relevante como complementação de renda, pouco atinge os extrativistas de açaí no norte do país, e em particular no Amapá.
PERFIL E LOCALIZAÇÃO DAS AGROINDÚSTRIAS FAMILIARES RURAIS NAS REGIÕES FUNCIONAIS (RFS) DE PLANEJAMENTO DO RIO GRANDE DO SUL
Authors: Deponti Cidonea Machado , Amaral de Moraes Jorge Luiz , Dhein Griebeler Marcos Paulo , Silveira Bassan Dilani , Jung Amanda
Published: November 2022

Para compreender melhor como o setor agroindustrial familiar pode contribuir para o desenvolvimento regional e os territórios rurais é necessário conhecer as diferentes formas de integração e as dinâmicas das agroindústrias familiares rurais. Nesse sentido, o presente artigo tem como objetivo analisar o perfil e a localização dessas agroindústrias no Rio Grande do Sul. A pesquisa caracteriza-se como qualitativa e descritivo-analítica, utilizando dados secundários do Censo Agropecuário 2017. A abordagem teórica utilizada se baseia em autores reconhecidos nacionalmente que tratam da temática da agroindustrialização familiar. Os principais resultados encontrados evidenciam a necessidade de mecanismos que potencializem a competitividade na produção local entre as Regiões Funcionais FR7 E FR9, onde se verificam níveis de comercialização inferiores a 20% da produção e uma falta de conexão entre regiões produtoras e consumidoras, implicando em baixa agregação de valor, produtividade e rentabilidade dessas agroindústrias. Somado a isto, é essencial para o desenvolvimento desses territórios (FRs) que exista uma articulação das políticas de desenvolvimento regional com as políticas setoriais direcionadas ao desenvolvimento das agroindústrias familiares do Rio Grande do Sul.
Caracterización morfológica y molecular de chiles silvestres y variedades criollas de Campeche, México
Authors: Castillo-Aguilar Crescencio C. , López-Castilla Lucero del Carmen
Published: November 2022

Campeche y la Península de Yucatán cuentan con diversidad de genotipos de chile los cuales forman parte de la cultura de las comunidades mayas: chile habanero (Capsicum chinense Jacq), chile X cat ik, chile dulce, chile verde, chile max, chile bolita (Capsicum annuum) y chile pico paloma (Capsicum frutencesns).
Modelo de capacitación y formación para la difusión de innovaciones en el sector cañero
Authors: Figueroa-Rodríguez Katia A. , Figueroa-Sandoval Benjamín , Castillo González Luis A. , Tiscareño-Ramírez Ana Bertha
Published: November 2022

La caña de azúcar (Saccharum spp.) es uno de los cultivos más importantes en México, con más de 164 mil productores que abastecen a los ingenios
Mico turismo: innovación útil para la conservación forestal y desarrollo rural
Authors: Pérez-Moreno J. , Martínez-Reyes M. , Hernández-Santiago F. , Ramírez-Carbajal E. , Luciano Dorado K.I.
Published: November 2022

El turismo constituye una fuente importante de ingreso a nivel internacional
modelo de mejora de la transferencia de conocimiento entre las ciencias humanas y sociales y las entidades sociales
Authors: Armendariz-Nuñez Erslem , Tarango Javier , Ascencio-Baca Gerardo
Published: November 2022

La aparente falta de practicidad de los contenidos generados en las ciencias sociales y humanidades (CSH), supone el planteamiento del problema de esta investigación, ya que contrario a otras disciplinas científicas que se asocian con la aplicación directa del conocimiento en la práctica, aquí se busca identificar posibilidades al vincular a los sectores educativos de nivel superior con entidades sociales, tomando como referencia para ello, la concreción de un modelo de transferencia de conocimiento (TC) específico de las CSH y sus respectivos mecanismos de operación, con lo cual se posibilite tal proceso de conexión entre el sector educativo y el social. A partir de la identificación del modelo y mecanismos de TC basados de la revisión de la literatura, se procedió a realizar una investigación tipo mixta: (1) con la participación de 17 expertos del área de gestión organizacional y de 13 entidades sociales, donde a través de grupos focales se llevó a cabo un proceso de validación; y (2) la aplicación de un cuestionario a 222 docentes del área de CSH adscritos al ámbito educativo superior y a representantes de 24 entidades sociales, quienes evaluaron la pertinencia del modelo y los mecanismos de TC, así como las barreras posibles que se enfrentarían en su aplicación. El resultado de la investigación permitió identificar diversas condiciones y características sobre formas de ejecución de los procesos, así como los aspectos que rodean esta clase de propuestas en cuanto a sus implicaciones, limitaciones y fortalezas que propician llevar esta clase de iniciativas a una realidad.
SUSTAINABILITY THOUGHTS 139: HOW CAN THE 2012 ROAD TO TRANSITION FROM ENVIRONMENTAL POLLUTION BASED TRADITIONAL ECONOMIES TO THE ENVIRONMENTALLY CLEAN ECONOMIES THAT THE WORLD NEVER BUILT BE POINTED OUT?
Authors: Muñoz Lucio
Published: November 2022

When the Brundtland Commission said in 1987 that the business-as-usual model of Adam Smith needed to address the social and environmental issues associated with it, this meant that there was a socio-environmental pollution problem separating the dirty traditional economy from the clean economy. When the UNCSD in 2012 gave priority to addressing the environmental issue only associated with the dirty traditional market model, this meant that there was an environmental pollution problem between the environmentally dirty traditional market and the environmentally clean market. This situation brought the need to think about how the transition from the environmentally dirty traditional market to the environmentally clean market could be framed step by step, but instead of thinking in terms of transition to the environmentally clean economy attention was given since 2012 to adopting environmental externality management-based markets or dwarf green markets. Whether mainstream thinkers in the sustainable development area failed in 2012 to see how the transition road from environmentally dirty traditional markets to environmentally clean markets could be built is not clear, but what it is clear is that there is no transition link from dwarf green markets to environmentally clean markets as dwarf green markets are still active environmental externality-based markets as the root cause of the environmental problem is not yet corrected. And this raises the question, how can the 2012 road to transition from environmental pollution based traditional economies to environmentally clean economies that the world never built be pointed out? What are the implications of this? Among the goals of this paper is to provide answers to those questions
Hospitalidade virtual em plataformas de ensino: reflexões sobre os rituais de acolhimento nas relações remotas de ensino-aprendizagem
Authors: Moreira de Brito Guilherme , De Brito Borges Avelãs de Araújo Ana Marta , Martins Pantuffi Claudia
Published: November 2022

O presente artigo lança olhar sobre a hospitalidade como qualidade imaterial inserida no espaço virtual, ao observar os elementos que concretizam a experiência de acolhimento virtual na relação aluno-professor em plataformas de educação online. Nesta análise, coloca-se como problema de pesquisa: Como proporcionar a aproximação na relação entre aluno-professor a partir da construção dos tempos e espaços da hospitalidade no âmbito virtual? O objetivo central se apresenta sendo a construção de uma reflexão acerca dos rituais de acolhimento transpostos para as relações educacionais no ambiente virtual. Enquanto metodologia, trata-se de um artigo de revisão bibliográfica, e .ara tanto, foi realizado levantamento bibliográfico em bases eletrônicas a partir da combinação dos termos: hospitalidade virtual, ensino remoto, aprendizagem, plataformas de ensino. Nesse sentido, o embasamento teórico apresentado introduz o estudo na seguinte ordem de conceitos: como partida, a abordagem do exercício de acolhimento do espaço virtual, seguido da aplicação destes rituais nas interações educacionais, tendo o professor enquanto figura de anfitrião neste espaço. Por fim, constrói-se a relação entre conceito que aborda a educação no meio virtual e as cenas de hospitalidade percebidas entre os interlocutores deste contexto: aluno-professor. Como resultado, apresenta-se que os fatores de humanização aplicados no ambiente virtual têm origem no exercício dos rituais de hospitalidade e buscam a construção de um espaço que se aproxima daquilo que é percebido enquanto valor no mundo material.
Estratégias de Customer-Centricy na hotelaria
Authors: Oliveira Thais Bandinelli Vargas Lopes , Sohn Ana Paula Lisboa , Limberger Pablo Flôres
Published: November 2022

O aumento da competitividade tem transformado o setor hoteleiro. Dentre as mudanças incorporadas pela atividade hoteleira destaca-se o customer- centricity, uma abordagem emergente e associada ao sucesso das organizações hoteleiras. O presente artigo visa apresentar um ensaio teórico sobre customer-centricity na hotelaria, por meio de uma pesquisa exploratória bibliográfica, sintetizando a literatura relevante sobre o assunto. Como resultados, viu-se que o customer-centricity destaca-se como uma estratégia organizacional que auxilia as empresas hoteleiras a promover experiências memoráveis, gerando valor para os hóspedes e vantagem competitiva superior em seu mercado de atuação. A cocriação, o fator humano dos serviços hoteleiros e o uso de sistemas de informação são observados como fatores-chaves para o sucesso da implementação de estratégias de customer-centricity na hotelaria.
DECOLONIALIDAD EN VENEZUELA: UN CUENCO DE MENDIGO INDIGNO DE SU HISTORICIDAD
Authors: Rodriguez Milagros Elena
Published: November 2022

Se analiza la decolonialidad en Venezuela como un cuenco de mendigo indigno de su historicidad; se trata de una investigación transmetódica con el transparadigma complejo y el transmétodo la deconstrucción rizomática. El sentipensar y las subjetividades de la autora son liberadas en el transmétodo. En la reconstrucción se dan esencias justificadas de la crisis en Venezuela, la revolución para nosotros significa miseria, significa comunismo puro, e ideas arcaicas retrogradas que ha regresado el país a un retroceso en todo sentido, políticas que ya han caducado en otros países; que han quedado declinadas por su fascismo. Se trata de una colonialidad global en pleno desarrollo, disfrazado de políticas decoloniales en el que se atenta contra la dignidad del venezolano con las falsas políticas de estado. Urgen profesionales, docentes, comunidades, estudiantes; dolientes de nuestro inmenso país, conformar una pertinencia subvertida de las políticas educativas reduccionistas que resistan con auténticos ejercicios libertarios.
Emoções na Formação de Docentes de Línguas Adicionais para Crianças
Authors: Albuquerque Vitória França , Santos Leandra Ines Seganfredo
Published: November 2022

Este artigo objetiva desvelar emoções de professores e formadores de professores em um curso de formação colaborativa de docentes de línguas adicionais para crianças no Centro de Formação Continuada da Rede Municipal de Ensino de Sinop/MT, em diferentes modalidades (presencial e remota) e registrar como se manifestam por meio de situações de usos da língua(gem). Pautamo-nos nos pressupostos teóricos da Linguística Aplicada, que discute os conceitos de emoções e de formação colaborativa, dentre outros. Trata-se de uma pesquisa qualitativa, de cunho interpretativista e utilizou-se diferentes instrumentos para coleta de dados, tais como: observações das gravações em áudio e vídeo dos encontros formativos, diário de campo reflexivo e conversas do grupo de WhatsApp. O conjunto de dados revelou que os participantes demonstraram as emoções de alegria, ansiedade, decepção, empatia, raiva, tristeza, dentre outras. Essas emoções foram manifestadas a partir das situações de usos da língua(gem) de cumprimentos e expectativas sobre o curso, diálogo sobre a importância de a formação continuada ser desejada, escrita colaborativa do documento acerca da importância de línguas adicionais para crianças, socialização das atividades docentes na pandemia, para citar algumas. No que diz respeito à relação das emoções com a formação continuada, os dados mostraram que as práticas colaborativas promovem o desenvolvimento e fortalecimento de vínculos emocionais entre professores e formadores de professores.