bluuebunny/crossref_metadata_2025 huggingface dataset:
delimitação das categorias teóricas na pesquisa sobre políticas públicas de educação
Authors: Oliveira Alcivam Paulo de
Published: February 2024

O artigo responde ao problema da fundamentação teórica na pesquisa em políticas públicas educacionais. Apresenta incialmente a definição de categorias teóricas e as condições que a demandam, a exemplo da polissemia e das disputas conceituais. Em seguida, realiza um exercício de delimitação da categoria educação pública, tendo como enfoque epistemológico a historicidade das categorias, numa perspectiva dialética, analisando a evolução do conceito de educação e de interesse público, diacrônica e sincronicamente.  Derivado de tal enfoque, opta-se pela revisão de literatura integrativa como opção epistemetodológica,  baseada em fontes do campo da educação, da história, da filosofia e das ciências políticas. A educação pública é delimitada segundos os aspectos da intencionalidade, da sistematicidade, de seu caráter público e de vinculação ao Estado. Na conclusão, aponta os ganhos com tal procedimento no avanço da pesquisa em política educacional e da autonomia intelectual e potencial crítico do pesquisador
Psicanálise e educação infantil
Authors: Lacet Cristine , Kupfer Maria Cristina Machado
Published: February 2024

Educar e cuidar estão enlaçados no âmbito da educação infantil. Pais e professores ocupam lugar de agenciadores dessas funções, diretamente ligadas ao processo de constituição subjetiva da criança. Este artigo, dirigido a professores de educação infantil, tem como objetivo introduzir a dimensão clínica como viés de leitura no campo da formação de professores a partir da proposição de operadores de leitura psicanalíticos do processo de constituição subjetiva, de modo a interrogar o que a criança e o professor enlaçados transferencialmente, podem nos ensinar acerca da práxis educativa. Optou-se pela utilização do instrumento de Acompanhamento Psicanalítico de Crianças em Escolas, Grupos e Instituições (APEGI), e, mais especificamente de seus eixos, que evidenciam o funcionamento psíquico da criança a partir dos 4 anos, como operadores de leitura da criança em seu laço com o educador.
Avaliação da qualidade tecnológica de massa alimentícia seca à base de plasma bovino
Authors: E. V. G. da Silveira Alessandra , Almeida de Souza-Soares Leonor , Badiale-Furlong Eliana
Published: February 2024

Foi proposto o desenvolvimento de uma formulação alternativa de massas alimentícias substituindo-se os ovos por plasma bovino. O produto foi avaliado quanto à sua qualidade tecnológica, frente a uma massa à base de ovos, tradicionalmente disponível no comércio, através da determinação do seu tempo de cocção, capacidade de absorção e retenção de água, perda de sólidos e proteínas e pelo deslocamento de volume. Os resultados obtidos demonstraram que a massa à base de plasma atingiu o ponto al dente em 3/4 do produto padrão, possuiu maior capacidade de absorção de água (61,8%), menor perda de sólidos (0,8%) e de proteínas (0,7%). O comportamento tecnológico diferenciado dos produtos foi evidenciado por análise de componentes principais.
Estudo comparativo entre os testes de solubilidade, falcização e gel-centrifugação para detecção populacional da hemoglobina S
Authors: Oshiro Marilena , Poli Neto Adelino , Miguita Karen , Ioshie Watanabe Cecília , Lúcia Biancardi Palharini Delma
Published: February 2024

A Hemoglobinopatia S é considerada doença de saúde pública devido à sua morbidade e frequência. E o desenvolvimento de "screenings" é útil. Em 836 amostras de sangue periférico de gestantes foram realizados, o teste de solubilidade, o teste de falcização e o novo teste em gel-centrifugação (ID-Sickle Cell Test-DIAMED). 28 amostras foram igualmente positivas para Hb S nos três métodos utilizados sem discrepâncias, onde todos apresentaram a mesma especificidade e sensibilidade na detecção dessa hemoglobina. Entretanto, o teste da gel-centrifugação e o teste de solubilidade demons-traram rapidez na obtenção dos resultados e a possibilidade de serem executados com pouco treinamento.
Determinação de açúcares em mel floral e mel de melato de algumas regiões de Minas Gerais e Santa Catarina
Authors: Campos Gisélia , Ubaldo Nappi Giancarlo , De Fátima Gomides Maria , Rodrigues Ribeiro-Cunha Mariem , Eduardo Batista Kleber , Célia Della Modesta Regina , Bastos Marcelo
Published: February 2024

O mel de melato difere do mel floral em relação à sua composição em açúcares. A fim de verificar estas diferenças, foram analisadas 14 amostras de mel floral e 11 amostras de mel de melato e determinados os teores de frutose, glicose, sacarose, rnaltose, rnelezitose, erIose e rafinose por cromatografia líquida de alta eficiência com detector de índice de refração. Foram testadas diferentes fases móveis para separar melezitose de erlose que são trissacarideos presentes no mel. O mel de melato apresentou teor de glicose menor que o mel floral, o que foi estatisticamente confirmado pelo teste U de Mann-Whitney. A erIose estava presente em todas as amostras. Não foi detectada melezitose nas amostras de mel floral.
Avaliação do teor de arsênio total em pescado de água doce
Authors: Flávio Costa Melo Lúcio , Antonio Morgano Marcelo , Maria Bassi Mantovani Dilza
Published: February 2024

Foi determinado o teor de arsênio total em polpas e filés das seguintes espécies de peixes de água doce: Pacu (Piaractus mesopotamicusi, Matrinxã (Blycon lundii, Carpa (Cyprinius carpio), Tilápia (Oreochromis niloticusy, Curimbatá tProchilodus sp), Tambaqui (Colossoma macropomumi, Bagre Africano (Clarias sp), procedentes do Centro de Pesquisa e Treinamento em Aquicultura, Pirassununga - São Paulo. A determinação do elemento arsênio foi realizada por espectrometria de emissão atômica com fonte de plasma de argônio induzido (ICP-AES) acoplado a um gerador de hidretos, nas amostras previamente mineralizadas por via seca com nitrato de magnésio. Os teores obtidos de arsênio (ug kg') para os filés e polpas foram, respectivamente: Pacu (49 e 8), Matrinxã (27 e 24), Carpa (66 e 209), Tilápia (37 e 277), Curimbatá (30 e 93), Tambaqui (42 e 24) e Bagre (43). Em todas as amostras foram encontrados níveis de arsênio inferiores ao recomendado pela legislação brasileira.
Comparação entre ELISA e cromatografia em camada delgada na quantificação de aflatoxinas em amendoim
Authors: Prado Guilherme , Silva de Oliveira Marize
Published: February 2024

Um método imunoenzimático (ELISA) e a cromatografia em camada delgada (CCD) com comparação visual, foram comparados na determinação de aflatoxinas em amostras de amendoim cru naturalmente contaminado. Para níveis de aflatoxina total até 50 ug/Kg não houve diferença significativa (p < 0,001) entre os resultados obtidos pelos dois métodos. Para valores de afIatoxinas total superiores a 50 ug/Kg, a técnica de ELISA foi estatisticamente equivalente à cromatografia em camada delgada (p < 0,001) somente quando as amostras foram diluídas para obter níveis de aflatoxina total até o máximo de 50 ug/Kg. Não foram observados falsos positivos ou negativos por ELISA quando comparado com cromatografia em camada delgada.
Rezension von: Schieder, Theodor u.a. (Hrsg.), Theorieprobleme der Geschichtswissenschaft
Authors: Magen Ferdinand , Schieder Theodor
Published: February 2024

Theorieprobleme der Geschichtswissenschaft. Hrsg. von Theodor Schieder und Kurt Gräubig (= Wege der Forschung 378). Darmstadt: Wissenschaftliche Buchgesellschaft 1977. XXXV und 500 S.
Rezension von: Bautier, Robert-Henri u.a. (Hrsg.), Aachen bis Bettelordenskirchen
Authors: Taddey Gerhard , Bautier Robert-Henri
Published: February 2024

Lexikon des Mittelalters. Lieferungen 1-10 (Band 1). München/Zürich: Artemis und Winkler 1977-1981.
Rezension von: Krieger, Karl-Friedrich, Die Lehnshoheit der deutschen Könige im Spätmittelalter
Authors: Finke Karl Konrad , Krieger Karl-Friedrich
Published: February 2024

Karl-Friedrich Krieger: Die Lehnshoheit der deutschen Könige im Spätmittelalter (ca. 1200-1437) (= Untersuchungen zur deutschen Staats- und Rechtsgeschichte NF 23). Aalen: Scientia 1979. 663 S.
Rezension von: Stromer von Reichenbach, Wolfgang, Die Gründung der Baumwollindustrie in Mitteleuropa
Authors: Wunder Gerd , Stromer von Reichenbach Wolfgang
Published: February 2024

Wolfgang von Stromer: Die Gründung der Baumwollindustrie in Mitteleuropa. Wirtschaftspolitik im Spätmittelalter (= Monographien zur Geschichte des Mittelalters 17). Stuttgart: Hiersemann 1978. 235 S., Ill., Karten.
Rezension von: Schmolz, Helmut (Hrsg.), 450 Jahre Reformation in Heilbronn
Authors: Wunder Gerd , Schmolz Helmut
Published: February 2024

450 Jahre Reformation in Heilbronn. Ursachen, Anfänge, Verlauf (bis 1555). Bearb. von Helmut Schmolz und Hubert Weckbach u.a. Ausstellung des Stadtarchivs 1980 (= Veröffentlichungen des Archivs der Stadt Heilbronn 23). 1980. 360 S., Ill.
Rezension von: 700 Jahre Stadt Klingenberg
Authors: Wunder Gerd
Published: February 2024

700 Jahre Stadt Klingenberg. Beiträge zur geschichtlichen, kulturellen und wirtschaftlichen Entwicklung der Stadt Klingenberg am Main. 1976. 472 S.
Rezension von: Duncker, Christoph (Hrsg.), Gewonnene Freiheit - verlorene Einheit?
Authors: Wunder Gerd , Duncker Christoph
Published: February 2024

Gewonnene Freiheit - verlorene Einheit? Festschrift der Württ. Evg. Landeskirche zur 450-Jahrfeier des Augsburger Bekenntnisses vom 17. bis 25.6.1980 in Reutlingen. Hrsg. von Christoph Duncker. Stuttgart: Calwer 1980. 135 S., Ill.
Rezension von: Gebhard, Torsten, Alte Bauernhäuser
Authors: Mehl Heinrich , Gebhard Torsten
Published: February 2024

Torsten Gebhard: Alte Bauernhäuser. Von den Halligen bis zu den Alpen. München: Callwey 1977. 195 S., zahlr. Zeichnungen und Fotos.
Rezension von: Teuteberg, Hans J.; Wiegelmann, Günter, Der Wandel der Nahrungsgewohnheiten unter dem Einfluß der Industrialisierung
Authors: Wunder Gerd , Teuteberg Hans Jürgen , Wiegelmann Günter
Published: February 2024

Hans J.Teuteberg,Günter Wiegelmann: Der Wechsel der Nahrungsgewohnheiten unter dem Einfluß der Industrialisierung(= Studien zum Wandel von Gesellschaft und Bildung im 19. Jahrhundert 3). Göttingen: Vandenhoeck und Ruprecht 1972. 417 S., Ill.
Rezension von: Glauche, Günter; Knaus, Hermann, Bistum Freising, Bistum Würzburg
Authors: Hummel Heribert , Glauche Günter , Knaus Hermann
Published: February 2024

Mittelalterliche Bibliothekskataloge Deutschlands und der Schweiz. Hrsg, von der Bayerischen Akademie der Wissenschaften in München. Band IV, 2: Bistum Freising, bearb. von Günter Glauche, und Bistum Würzburg, bearb. von Hermann Knaus. Mit Beiträgen von Bernhard Bischoff und Wilhelm Stoll. München: C. H. Beck 1979. X und 420 S. (vom´ Gesamtband S. 600-1020).
Rezension von: Brückner, Wolfgang (Hrsg.), Volkserzählung und Reformation
Authors: Hampele Walter , Brückner Wolfgang
Published: February 2024

Volkserzählung und Reformation. Ein Handbuch zur Tradierung und Funktion von Erzählstoffen und Erzählliteratur im Protestantismus. Hrsg. von Wolfgang Brückner. Berlin: Schmidt 1974. 904 S.
Rezension von: Roth, Hans-Dieter (Bearb.), Der Schiller-Gedächtnispreis des Landes Baden-Württemberg
Authors: Ulshöfer Kuno , Roth Hans-Dieter
Published: February 2024

Der Schiller-Gedächtnispreis des Landes Baden-Württemberg 1955-1980. Katalog zur Ausstellung des Deutschen Literaturarchivs Marbach von Hans-Dieter Roth mit Antje Bonitz, Ute Doster und Irina Renz. 303 S., 155 Abb., mit der Rede Martin Walsers als Beilage.
Phytoremediation with Sunflower (Helionthus annus) and Its Capacity for Cadmium Removal in Contaminated Soils
Authors: Ogungbile Peter Oyelade , Ajibare Adefemi Olatayo , Enochoghene Adebisi Esther , Ogunbode Timothy Oyebamiji , Omotayo Olumide Ekundayo Omotayo , Ekanade Christiana Tinuola , Sridhar Mynepalli Kameswara Chandra , Akande John Adebayo
Published: February 2024

This study assessed the phytoremediation potential of sunflowers for removing cadmium from the soil around a paint manufacturing industry in Eleyele, Ibadan. Background levels of Cd in the topsoil and subsoil were determined. The site was divided into two plots. Organo-mineral fertilizer (OMF) was applied to the first plot, which served as the experimental plot, while the second plot was without OMF and served as the control. Concentrations of cadmium in the plants were determined using an Atomic Absorption Spectrophotometer. Baseline mean Cd contents were 29.23 mg/kg and 33.30 mg/kg for topsoil and subsoil, respectively. Over the planting period, the sunflower plants removed 53.1% and 51.6% of Cd from the topsoil and subsoil in the test plot, while 40.65% and 47.80% were removed from the topsoil and subsoil, respectively, in the control. Cd absorption from the contaminated soils was found to be translocated to all parts of the sunflower. The concentrations of Cd in the sunflower parts were as follows: root system (10.70 mg/kg), shoot (8.17 mg/kg), leaves (6.43 mg/kg), and seeds (2.52 mg/kg) for the test plot. For the control plots, Cd in the root, shoot, leaves, and seeds were 7.60 mg/kg, 7.43 mg/kg, 4.75 mg/kg, and 2.03 mg/kg, respectively. The study confirmed that sunflowers have the potential to remediate Cd from contaminated soil, and this potential was enhanced by the application of OMF.
Using a mosaic-based approach to construct children’s understanding of safe space in school
Authors: Macdonald Maria Mearns
Published: February 2024

Aim

This participative, creative research aimed to explore the meaning of ‘safe space’ at school, defined as areas which children could access when emotionally dysregulated. This study aimed to answer the research question – how do children and teachers understand the meaning of safe space at school?

Rationale

Safe space is an overused and conceptually confused term, which has been described as the second-most popular strategy for supporting children’s anxiety in UK schools. However, the scarce research literature documents adult views of the benefits of safe space, with little reference to children’s perceptions.

Method

A Mosaic-based approach, which offers child-centred, multi-modal methods for exploring views, was used to enable seven children and their three teachers to construct their understanding of safe space in school. Children designated as users of safe space led the researcher on a school tour and took photos of a puppet in their chosen safe spaces. Teachers participated in a semi-structured interview. Visual data was categorised using content analysis and combined with inductive, reflexive thematic analysis of verbal data to identify themes.

Findings

Children’s multiple, dynamic understandings of safe space generated themes of liberated places, safe bases and belonging, contrasting with teachers’ differing understanding of a static, boundaried, restricted space. The value of psychological safety in school alongside giving children agency to self-regulate according to context and need is emphasised when considering safe space.

Implications

Discussing the ‘dilemmas of difference’ regarding teachers’ operationalising of a safe space in school leads to consideration of the potential implications for educational policy and practice. The value of deconstructing dominant adult discourses through visibly listening to children using a humanistic, empowering psychological framework is highlighted.

Limitations

Children’s words, photographs and actions were filtered and interpreted by the researcher which could be conceived as constraining child voice and furthering adult-child power imbalances. The full Mosaic approach where a platform for communication between adults and children is facilitated did not take place due to school closures because of the pandemic.

Conclusions

This research extends, and to a degree challenges previous UK literature which suggests that safe space is a beneficial strategy for managing anxiety, as child participants had a more dynamic and flexible understanding of safe space than their teachers. Concerns were raised about the understanding and awareness teachers have regarding wellbeing interventions and how these have the potential to become stigmatising within a behaviourist-dominated school perspective.
Developing the social and emotional competence of adolescents through implementation of the STEPS-A curriculum
Authors: Atkiss Emma , Stringer Phil
Published: February 2024

Aims

This research explores the curriculum, Dialectical Behaviour Therapy (DBT)Skills in Schools: Skills Training for Emotional Problem Solving for Adolescents (STEPS-A)(Mazza et al., 2016). It aims to trial STEPS A, exploring its impact on Social Emotional Learning (SEL), in addition to understanding facilitative implementation conditions for the programme.

Rationale

The rationale for the study lies within the potential of the programme to be a universally accessible tool for change in nurturing the SEL of adolescents within the secondary school context.

Methods

Using a mixed method case study design, six sessions were delivered in two mainstream mixed secondary comprehensive schools to key stage three groups by trained staff facilitators. Focus groups were carried out, alongside the Child and Adolescent Mindfulness Measure (CAMM) (Greco, Baer, & Smith, 2011) and the Difficulties in Emotion Regulation Scale – Short Form (DERSF-SF) (Kaufman et al., 2016) pre and post intervention.

Findings

Data informed the development of an implementation framework, alongside a consultation tool for EPs to support STEPS-A planning in schools. Impact results are promising; mixed ANOVAs revealed two significant and two non-significant time* intervention interactions. Follow up t tests demonstrated intervention group changes in mindfulness and emotional regulation skills in schools 1 and 2 respectively.

Implications

The study has implications for the adoption of the STEPS A curriculum to support SEL within secondary schools, whereby school staff are actively supported by EPs to use an implementation framework to maximise efficacy. The encouraging impact findings provide psychological and ethical weight to the use of the framework.

Limitations

Due to a small sample size and short intervention period, the need for replication of the quantitative results with a larger sample over a longer period is acknowledged. The implementation framework requires validation across contexts.

Conclusions

The study found that the STEPS-A programme, the first curriculum-based DBT programme designed to be taught in schools by teachers, was well-received by participants. It indicates that, within the context of empirically supported implementation conditions, skills which were initially designed for teaching to clinical populations as part of a comprehensive therapy programme have value and can potentially effect change for adolescents with and without additional identified needs.
A pilot study evidencing the effectiveness of a new maths intervention
Authors: Graves Frances , Stringer Phil
Published: February 2024

Aim

This study evaluated a maths intervention programme, devised by the first author from psychological research into maths learning, difficulties, and intervention.

Method

Using a case series design, the first author collaborated with a Special Educational Needs and Disabilities Co-ordinator (SENDCo) and seven teaching assistants (TAs), who delivered the intervention to nine children (between four- and ten-years-old) of most concern to their teachers. Eight hours of training was provided for the adults, on the psychology of maths learning and use of a diagnostic assessment and intervention framework. Personalised intervention programmes were planned for the children. The adults worked one-to-one with the children, for 15–20 minutes a day, up to five times a week, over ten weeks. Researcher support and observational monitoring visits were provided each week. Pre- and poststandardised assessments were used to assess the intervention’s impact on the children’s maths achievement. Impact on the adults and children, and possible causal mechanisms, were explored through individual interviews.

Findings

Pre-/post-assessments, interview and observational data showed that children’s maths levels and attitudes had improved significantly. Thematic analysis evidenced that adults’ knowledge, skills, and confidence had increased.

Limitations

Limitations include the small-scale nature of the study, coherence across structural elements (diagnostic assessment, framework, plans), lack of specific training on instructional methods, generalisability from out-of-class learning to classroom teaching, and problems associated with the operationalisation of mathematical constructs.

Conclusions

This study provides tentative evidence for the programme’s effectiveness, feasibility, and potential to address both moderate and severe maths needs, justifying larger-scale evaluation.
Use of Medical Protocols to Improve the Hospital Length of Stay and Quality of Care
Authors: LYKOSTRATIS Konstantinos
Published: February 2024

Improving the quality of patient care includes measures to reduce hospitalisation time and improve recovery conditions and consequently patient safety during their stay in the hospital. The most common complications that arise during the nursing of patients in hospitals, which lead to extended length of stay, are hospital-acquired infections and thrombotic events. In our efforts, as the Naousa General Hospital, to reduce the incidence of these complications, we proceeded to the creation of specialized medical protocols for their prevention, early diagnosis, and treatment. We recorded measurements and results of improvements in various cases and different implementation times of medical protocols and processed the collected data with specific statistical indicators. Through the statistical analysis of the data recorded, we found significant benefits and a noticeable improvement in key performance and quality indicators in the overall conditions of hospitalisation of patients. We conclude that by applying and utilizing specific medical protocols and monitoring their results, we can reduce the incidence of hospitalacquired infections and thrombosis, thus we achieve to reduce the average length of stay in our hospital and increase the overall quality and safety of care. Our findings clearly indicate that investment of human and financial resources in the development, evolution, and proper application of protocols can have multiple benefits, both to patients and hospital organisations.
CSI-based WIFI Device Identification Solution
Authors: Li Yiming
Published: February 2024

In recent years, wireless devices such as WIFI routers have become increasingly common in various fields. Rogue access point (RAP) is one of the threats that has persisted in wireless LAN (WLAN) for many years and can cause varying degrees of property damage and privacy leaks. In response to these threats, we propose a new security mechanism, called Rdi, which uses environment-independent features extracted from channel state information (CSI) as fingerprints for device identification. We found that the phase errors between multiple antennas on a single MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) transmitter are not the same. This phase offset is due to the I/Q imbalance and imperfect oscillator of each WiFi network card, and it will not change with factors such as environment and time. Therefore, we inferred and verified that there must be some relationship between the phase errors of multiple groups of antennas, that is, the relative phase error (RPE). In addition, RPE will also vary with different WiFi devices. Compared with some similar fingerprint detection methods in the past, the use of specific connections between group phase errors between antennas can better reveal the different attributes between devices, thereby enhancing the uniqueness of features. Therefore, we believe that RPE can be used as an effective fingerprint to detect RAP attacks. We conduct a large number of experimental demonstrations on this, and innovatively built a multi-modal convolutional neural network (CNN) model to perform efficient classification work for our solution. Experiments on 22 WiFi devices and various scenarios show that the detection rate of Rdi can reach more than 98% in both dynamic and static device states.
A License Plate Detection and Recognition Method Based on Improved Yolov5
Authors: Yang Weiping , Huang Chao
Published: February 2024

This study proposes a license plate detection and recognition method based on yolov5. In order to accurately detect the license plate and accurately identify the license plate number, this study adds key point detection based on the yolov5 algorithm to correct the license plate image into a rectangle through perspective transformation, which greatly improves the accuracy of license plate number recognition. Due to embedded deployment, this study simplifies the yolov5 network structure to a certain extent. While reducing the network depth and width, ShuffleNet Block is used to replace the C3 module in yolov5. In the end, this study achieved a mean average precision (mAP) of 89.7% while controlling the network calculation amount to 5GFLOPs. Therefore, this model has broad application prospects in the transportation field.
Experiences and Implications of Leisure Sports Management Policies in the United States
Authors: Gu Yimeng
Published: February 2024

Leisure sports is a kind of sports and cultural activities derived from social development, which is welcomed and participated by more people because of its dual value of entertainment and physical exercise. The nature of leisure sports determines the social value of its development, and to a certain extent it can show the state of social and cultural civilization. Therefore, China should learn from the development experience of developed countries, vigorously raise the level of mass consumption of sports and fitness, and actively promote the development of the sports, fitness and leisure industry, which is not only a necessary way for the development of the sports industry from a new growth point of the national economy to a pillar industry, but also an important task for building a country strong in sports.
Research on the Development and Countermeasures of Prefabricated Buildings in Anhui Province under the Dual Carbon Target
Authors: Ding Huajun , Tang Genli , Zhang Heng
Published: February 2024

Under the dual carbon goal, green and low-carbon development has become a new pursuit in building development. Prefabricated buildings replace traditional on-site concrete pouring operations, reducing energy and material consumption. With the characteristics of economic, low-carbon, green and efficient, it has become an important technological approach to promote the high-quality development of the construction industry. This article compares the development status of prefabricated buildings at home and abroad, analyzes and studies the current situation and existing problems of prefabricated development in Anhui Province under the dual carbon goal, and proposes relevant countermeasures: increasing policy support subsidies, deepening the intelligent construction of BIM modern technology throughout the entire process, and developing the EPC general contracting management model.
Tiktok E-commerce User Stickiness Operation Strategy and Prospect
Authors: Shi Leixi , Phakdeephirot Nutteera
Published: February 2024

The current development status of e-commerce in China is very prosperous and rapidly developing. China is the world's largest e-commerce market, with a large online consumer base and a rich e-commerce platform. Overall, China's e-commerce development is very prosperous and rapidly developing. With the continuous progress of technology and the changing demands of consumers, China's e-commerce industry is expected to continue to maintain a good development momentum.
Intelligent Pavement Diseases Detection Model based on YOLOv5s
Authors: Pan Weihua , Nie Mengying
Published: February 2024

There are many kinds of pavement diseases, and the detection background in the actual scene is complex, so the accuracy of the detection model is not high. Based on YOLOv5s, a pavement diseases detection model YOLOv5s-CBP is proposed, and the CBAM (Convolutional Block Attention Module) attention module was introduced into the backbone network to enhance the model's attention to the characteristics of pavement diseases. The BiFPN network was constructed in the neck, which realizes the cross-layer exchange and integration of information and retains more high-level semantic information. A small target detection layer P2 was added to the detection head to improve the detection ability of the model for small road diseases. The experimental results on data sets show that the precision and recall of the model are improved by 6.1% and 4.4% respectively, and the mAP is improved by 5.7%, which effectively improves the performance of the detection model.
The Study for the Analysis of the Development trend of sports tourism
Authors: Guan Zheng , Zhang Lifang
Published: February 2024

The purpose of this study is to analyze the development trend of sports tourism by content analysis and the results are as follows: (1) sports tourism are diversified; (2) improve the hardware facilities of sports tourism destinations to improve the quality of service and tourists' satisfaction; (3) health tourism improves the quality of life; (4) the integration of sports tourism and education is of great significance. (5) the combination of sports tourism and ancient architecture can promote the local economic development and cultural heritage, and provide tourists with new experiences and feelings. The suggestions are: (1) develop personalized and customized sports tourism projects; (2) develop sports tourism projects combining scientific and technological applications; (3) develop sustainable sports tourism projects; (4) develop professional and standardized sports tourism services; (5) combine sports tourism with historical old buildings.
Comprehensive Review of Backpropagation Neural Networks
Authors: Li Mingfeng
Published: February 2024

The Backpropagation Neural Network (BPNN) is a deep learning model inspired by the biological neural network. Introduced in the 1980s, the BPNN quickly became a focal point in neural network research due to its outstanding learning capability and adaptability. The network structure consists of input, hidden, and output layers, and it optimizes weights through the backpropagation algorithm, widely applied in image recognition, speech processing, natural language processing, and more. The mathematical model of neurons describes the relationship between input and output, and the training process involves adjusting weights and biases using optimization algorithms like gradient descent. In applications, BPNN excels in image recognition, speech processing, natural language processing, and financial forecasting. Researchers continuously experiment with optimization algorithms, including the Grey Wolf Algorithm, Genetic Algorithm, Particle Swarm Algorithm, Simulated Annealing Algorithm, as well as comprehensive strategies and improved gradient descent algorithms. In the future, with the ongoing development of deep learning, BPNN is poised to play a crucial role in tasks such as image recognition and speech processing.
Research Status and Development Trend of 3D Printing Recycled Concrete
Authors: Xu Wei
Published: February 2024

As a new construction technology, 3D printing concrete has the advantages of mechanization and model-free. Waste brick is an important part of construction waste. Its disposal not only consumes land but also pollutes the environment. At the same time, cement is the main raw material in concrete materials. Cement production consumes resources, produces greenhouse gases and is not environmentally friendly. Therefore, grinding brick waste into recycled brick powder and replacing cement to produce 3D-printed concrete is considered a feasible method. This paper reviews the effects of recycled brick powder on hydration, workability, mechanical properties and durability of 3D-printed concrete, analyzes its mechanism, and points out some problems to be further studied at present.
Evaluation of the Clinical Efficacy of Orthodontic Retention of Third Molars After Extraction of First or Second Molars
Authors: Shan Wenfeng , Wen Liming , Li Weiwei
Published: February 2024

This paper explores the clinical efficacy of orthodontic retention of third molars after extraction of the first or second molars. Studies show that the use of the second molar near the movement to replace the first molar, retain the third molar although need a long treatment time and higher treatment cost, but promote the gap of tissue regeneration, preserve healthy natural teeth, restore occlusal stability, but also can avoid the late repair of the first molar or second molar. In addition, the second molar after moving near the third molar is also conducive to the eruption of the third molar, maximizing the use of the third molar, to form a healthy and complete functional tooth line. Therefore, For patients with severe removal of the first or second molars, poor prognosis, severe periapical disease, and loss of the first or second molars, the treatment method of replacing the second molar for the first molar and the third molar for the second molar can be an effective treatment option.
Research on the Impact of the Specialized, Refined, Unique, and Innovative “Little Giant” Policy on the Small and Medium Enterprises’ Innovation
Authors: Shao Yiqin
Published: February 2024

Using data from Chinese A-share listed companies and companies listed on the New Third Board from 2018 to 2022, this study evaluates the causal effect of the "Little Giant" policy on innovation in small and medium-sized enterprises through a staggered difference-in-difference model. Research has found that the "little giant" policy of specialization, refinement, and innovation has significantly promoted innovation in small and medium-sized enterprises. The robustness test found that the policy significantly promoted the level of innovation input and innovation output, with the innovation output level specifically manifested as a significant increase in the number of invention patents. Mechanism analysis confirms that the "Little Giant" policy of specialization, refinement, and innovation has significantly promoted enterprise innovation through three mechanisms: alleviating financing constraints, providing government subsidies, and promoting market competition. Heterogeneity analysis found that enterprises in key areas of policy implementation and those related to "bottleneck" technology are significantly more affected by the causal effect of the policy on promoting innovation.
Are Too Many Women Crowding out Men in the Job Market?
Authors: Zhang Yaning , Wu Youqun
Published: February 2024

Occupational gender segregation refers to the imbalance of occupational distribution and the large gap in occupational development between women and men due to gender characteristics, which is an important manifestation of gender discrimination in the labor market. Based on the data of China General Social Survey, the Duncan Index and Carmel-MacLachlan index, two indices measuring gender occupational segregation, were used to perform multiple logit regression for the explained variables with multiple values. Gender occupational segregation was found. Finally, based on the existing research, the regression analysis of the influence of traditional gender concepts and education level shows that the improvement of traditional gender concepts and education level is helpful to weaken gender occupational segregation.
The Credit Card Anti-fraud Detection Model in the Context of Dynamic Integration Selection Algorithm
Authors: Zheng Jiajian , Yang Le , Xin Duan , Tian Miao
Published: February 2024

Because of its close relationship with information technology, every change in the field of information technology will have an important impact on the means, time and space distribution of the final fraud of the credit card network. The rapid development and popularization of artificial intelligence (AI) software based on Deepfake technology has greatly promoted the intelligent transformation of credit card network fraud. Through the use of advanced hardware and software equipment, criminals have iterated on their own fraud tools, from the use of traditional phone calls and text messages to the use of the latest AI software. Therefore, for the problem of credit card fraud detection with missing data set labels and highly unbalanced category distribution, A credit card approval anomaly detection model DES-HBOS (Dynamic Ensemble Selection based on Histogram-based Outlier Score) is proposed. Firstly, the unsupervised anomaly detection algorithm is used to construct the false label of the training set customer. Then, the customer capability area to be measured is determined, and the classifier performance is evaluated according to Pearson correlation coefficient. Finally, a set of optimal classifiers is selected to integrate the test customers. Experiments on real credit card customer data sets show that DES-HBOS has a higher Recall and can identify more fraudulent customers than other 6 classical anomaly detection models. Comparative experiments were carried out on 4 unbalanced data sets, and the experimental results showed that DES-HBOS had stronger anomaly detection ability than HBOS.
A Focused Analysis of the Intersection of Machine Learning and Intelligent Decision
Authors: Wang Shuke , Xu Yan
Published: February 2024

Machine learning and intelligent decision are important research topics, and the effective combination of the two is a current research hotspot. To further understand the outcomes of the collision of the two fields, this paper comprehensively analyzes the research dynamics of intelligent decision and machine learning from a scientometric perspective using two tools, VOS viewer and CiteSpace. This study provides a holistic insight that helps researchers to better understand the research field. The data analysis of the article is based on 2218 documents retrieved from the Web of Science database from 1990 to 2021. The paper investigates the collaborative network, bibliographic coupling of intelligent decision, and machine learning, revealing the distribution, and closeness of research in the field in terms of countries/regions, institutions, and authors. Further, the paper reveals the research hotspots and research frontiers of the topic through a series of visualization tools such as burst detection. On this basis, the article further discusses the current challenges and possible directions.
Research on Rigid-flexible Coupling Dynamic Modeling and Dynamic Characteristics Based on Tremmie Pipe
Authors: Fu Zhimin
Published: February 2024

The tremmie pipe is the key structural component of the rubble leveling ship. Its vibration affects the laying accuracy of the rubble leveling ship. The 3D structural model of the tremmie pipe ship is established with the help of the 3D modeling software SolidWorks, and the tremmie pipe is flexible by ANSYS. The rigid-flexible coupling dynamics model is built in ADAMS. Apply constraints and external excitation of the pipe end, carry out modal analysis and dynamic simulation analysis on the model, study the dynamic characteristics of the tremmie pipe during the tremmie pipe process, provide the basis for structural vibration control, and have guiding significance for the optimal design of the tremmie pipe.
Analysis of Capability Requirements for Equipment Maintenance Support Police Troops Based on GQFD
Authors: Li Jiumiao , Wu Qiwu
Published: February 2024

In order to accurately analyze the key capability requirements of the equipment maintenance and support police team, and facilitate targeted improvement of the maintenance and support capabilities of the police team. This article provides an explanatory description of the task and capability requirements of the equipment maintenance and support police force through the GQFD method, and constructs a mapping matrix between them. Through relevant calculations, the importance of the capability indicators of the equipment maintenance and support police force was ranked, and key capability indicators were obtained. Then, verification and analysis were conducted based on the actual situation of grassroots troops, providing some basic data support for studying the competency model of the equipment maintenance and support police force.
Research on the Impact of Green Credit Policies on Green Innovation of Heavy Polluting Enterprises: A Case Study of Sichuan Province
Authors: Zhuang Yinqun , Bi Yongli , Song Fuchao , Chen Jin
Published: February 2024

Green credit is an important green financial tool to stimulate enterprise green innovation. Enterprise green innovation is an important driving force for the coordinated development of the environment and economy, and achieving high-quality economic development. This article first analyzes the current development status of green credit in Sichuan Province from two perspectives: the scale and structure of green credit, and analyzes the current status of green innovation in heavily polluting enterprises from both economic and policy perspectives. Secondly, using listed companies in Sichuan Province from 2008 to 2015 as sample data, the total amount of green innovation of enterprises was measured by the number of green patent applications. The double difference model was used to explore the impact and mechanism of green credit policies on green innovation of heavily polluting manufacturing enterprises in Sichuan Province; Once again, conduct a scientific test on the derived results through empirical analysis. Finally, policy recommendations are proposed on how to utilize green credit development to promote green innovation in heavily polluting enterprises.
Research on the Development Strategy of Ideological and Political Education in Chinese Universities based on SWOT Analysis
Authors: Li Yingmei
Published: February 2024

Based on the method of SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis, this paper aims to explore the current development situation of ideological and political education in Chinese colleges and universities, and to study in-depth the development strategy of ideological and political education in Chinese colleges and universities. Through a comprehensive assessment of internal and external factors of ideological and political education in Chinese colleges and universities, it will reveal the current problems and challenges and propose innovative strategic solutions to better meet the needs of contemporary Chinese society and students. The study will highlight key strategies for optimizing existing strengths, compensating for weaknesses, seizing opportunities, and responding to threats, so as to provide actionable guidance for decision-makers in Chinese universities as well as frontline student workers, and to promote the sustainable development of ideological and political education in China.
Research on Sentiment Analysis of E-commerce Live Comments based on Text Mining
Authors: Xiong Wei , Zuo Yue , Zhang Menglin , Zhang Chenxi , Guo Caiqing
Published: February 2024

With the rapid rise of live e-commerce in the field of e-commerce, the rich emotional information generated by users in live comments has become an important research object. This study takes e-commerce live comments as samples, uses text mining technology combined with machine learning methods, builds sentiment dictionary, trains sentiment analysis model and uses SnowNLP library for sentiment analysis, and deeply digs users' emotional tendency towards goods, services and shopping experience. For negative comments, word cloud is generated through word segmentation and word frequency calculation to visually show users' dissatisfaction and provide substantial support for updating the emotional dictionary. Through this comprehensive analysis, it provides a deeper user insight for e-commerce enterprises, and provides strong support for operational decisions and service optimization. Future research can focus on the application of deep learning techniques in sentiment analysis to further improve model accuracy and adaptability.
The Importance of AI Algorithm Combined with Tunable LCST Smart Polymers in Biomedical Applications
Authors: He Zheng , Chen Wangmei , Zhou Yanlin , Weng Huiying , Shen Xinyu
Published: February 2024

Smart polymers, also known as stimulus-responsive polymers or environmentally sensitive polymers, are a class of polymers that exhibit changes in their physical and chemical properties in response to various external stimuli, including small physical and chemical changes in the environment. These stimuli can trigger changes in the properties of the smart polymer, such as phase, shape, optics, mechanics, electric field, surface energy, reaction rate, permeability, and perception. Due to the biological sluggishness of conventional smart polymers, different manifestations of polymers are realized through the combination of AI technologies, including water solubility, adsorption on the surface of the carrier, or part of the cross-linked polymer system.   While the definition of smart polymers can include two-phase transition processes such as glass transition and melting, the focus of research in the field of smart polymer systems is their behavior in polymer aqueous solutions, interfaces, and hydrogels.   In this paper, a noteworthy smart polymer Low critical solution temperature (LCST) polymer is analyzed based on the combination of AI algorithm and deep learning. By carefully designing and modifying the structure of the polymer, the researchers can adjust the LCST to approximate the physiological temperature, making it suitable for potential biomedical applications. Looking ahead, an important development direction is the creation of LCST-type polymers that exhibit a variety of responses to different stimuli, while also improving their biodegradability. Incorporating AI into the design and modification of these polymers could facilitate the development of advanced smart materials with enhanced properties and functionality, opening up new possibilities in areas such as biotechnology, drug delivery, and response materials.
The Role of Party Identification in Social Welfare Attitude Formation
Authors: Qiu Yue
Published: February 2024

This paper aimed to answer the question whether republicans are more likely to hold an opposed attitude towards social welfare compared to those identifying as Independents or Democrats. Building upon prior research and employing statistical analyses through SPSS, our findings strongly indicate a significant tendency among Republicans to oppose social welfare initiatives than independents and democrats.
Artificial Intelligence and Malicious Code Detection
Authors: Zhong Chenhui
Published: February 2024

Malicious software has become a critical cybersecurity issue due to the increasing number of threats it poses to devices and internet environments. Traditional static scanning techniques and behavior-based malware detection methods have limitations in meeting the new requirements in information security due to high false positives and false negatives. In this work, we propose a CNN convolutional neural network-based method for detecting malicious code. Practical operations were conducted using the Cuckoo sandbox system, and Python programs were utilized to preprocess analytical reports. This article presents the construction of a deep learning training model for CNN designed to identify malicious code. The model is compared with machine learning and general antivirus tools for comprehensive evaluation. Experimental verification shows that our proposed method exhibits greater advantages in comparison and achieved excellent detection results with higher feasibility. The research significance of this work is highlighted as malicious software has become a core issue in cybersecurity. The method proposed in this article provides powerful support for addressing new needs in information security. This paper emphasizes the importance of utilizing CNN-based methods in detecting malware, which can better address the limitations of traditional detection techniques. Overall, this work provides an effective solution to detect malicious code and addresses a critical cybersecurity issue.