bluuebunny/crossref_metadata_2025 huggingface dataset:
How do psychosocial stress of the family and early-term birth affect the development of children‘s executive functions? Using Baileys Scale III as a measurement for executive functions in children between 0 and 3 years.
Authors: Törmänen Minna , Schaub Simone , Ramseier Erich , Koch Christina , Kalkusch Isabelle , Rodcharoen Patsawee , Neuhauser Alex , Lanfranchi Andrea , Klaver Peter
Published: June 2024

Executive functioning (EF) is an important predictor of cognitive
development. We examined early EF development longitudinally during the
first three years of life and investigated the effect of psychosocial
stress, early-term birth, and early childhood intervention on EF
development. The families with psychosocial stress participated in a
longitudinal RCT study implementing the home-visiting intervention
program Parents-as-Teachers (PAT) (intervention group, N=121 and control
group, N=111). Birth status (early-term, N=69; on-term, N=163) and
family stress (high stress, N=68, low stress, N=164) were predictors of
EF. EF components that were extracted from the Bayley Scales of Infant
and Toddler Development measurement (BSID-III, 2006) showed changes
between 1 and 3 years. A negative effect of family‘s psychosocial stress
on child‘s development of EF was found during first three years, while
the PAT intervention had a positive effect. Early-term birth had a
moderate association with EF development. Implications for early
childhood interventions are discussed.
Epicutaneous Immunotherapy for the Treatment of Peanut Allergy
Authors: Ravindran M. , Sampson Hugh , Kim Edwin , Bee Katharine , Green Todd , Burks A. Wesley
Published: June 2024

Peanut allergy treatment options remain limited, but novel approaches
are being studied, including epicutaneous immunotherapy (EPIT). EPIT
uses the cutaneous immune system to promote tolerance to food allergens.
Viaskin Peanut, an approach to EPIT in late-stage
clinical development uses an occlusive patch with a condensation chamber
that enables natural epidermal water loss to solubilize dry antigen on
the patch, which is then absorbed and captured by skin dendritic cells.
This form of EPIT does not require disruption of the skin barrier, thus
avoiding a proinflammatory cytokine response by targeting the
non-vascularized epidermis and limiting systemic allergen exposure.
Extensive preclinical research suggests that Viaskin Peanut has a
distinct mechanism of desensitization, including the potential for
disease modification, driven by a unique population of regulatory T
cells. Numerous clinical studies of Viaskin Peanut have demonstrated
desensitization and reductions in reaction severity, particularly in
children aged 1 through 11 years, as well as a favorable safety profile
with mostly mild to moderate skin reactions that were observed to
decrease over time. EPIT with Viaskin Peanut may be a potential
therapeutic option for peanut allergy that is clinically practical with
long-term efficacy and tolerability.
Anthropogenic aerosols have significantly weakened the regional summertime circulation in the Northern Hemisphere during the satellite era
Authors: Kang Joonsuk M , Shaw Tiffany A , Sun Lantao
Published: June 2024

Reanalysis data show a significant weakening of summertime circulation
in the Northern Hemisphere midlatitudes in the satellite era with
important implications for surface weather extremes. Recent work showed
the weakening is not significantly affected by changes in the Arctic,
but did not examine the role of different anthropogenic forcings such as
aerosols. Here we use the Detection and Attribution Model
Intercomparison Project (DAMIP) simulations to quantify the impact of
anthropogenic aerosol and greenhouse gas forcing. The DAMIP simulations
show aerosols and greenhouse gases contribute equally to zonal-mean
summertime circulation weakening. Regionally, aerosol dominates the
Pacific storm track weakening whereas greenhouse gas dominates the
Atlantic. Using a regional energetic framework, we interpret how aerosol
forcing weakens the storm tracks and why the impact is the largest in
the Pacific. Decreasing aerosol emissions over Eurasia and North America
increases (clear-sky) shortwave radiation. The atmospheric energy input
is exported downstream via stationary circulation, poleward of the
Pacific and Atlantic storm tracks. This land-ocean energy coupling is
similar to the spring-to-summer seasonal transition and is larger over
the Pacific due to greater energy input over Eurasia. In addition,
increasing aerosol emissions over South and East Asia decreases
shortwave radiation, and the energy export downstream via stationary
circulation weakens. This occurs equatorward of the Pacific storm track,
which further weakens it. Our results show aerosols are a dominant
driver of regional circulation trends during the Northern Hemisphere
summertime in the satellite era and show a regional energetic framework
explaining the underlying processes.
209-OR: Direct and Indirect Effects of Redlining on Diabetes Prevalence via Food Access
Authors: WALKER REBEKAH J. , LINDE SEBASTIAN , EGEDE LEONARD E.
Published: June 2024

Structural racism is known to influence diabetes outcomes; however, there is limited understanding of potential pathways for the relationship. Given the importance of access to healthy food for adults at risk for diabetes, this study investigated food access as a possible pathway between structural racism and diabetes prevalence at a census tract level. A national dataset of 11,457 census tracts across 201 counties, within 38 states was used for the analysis. Prevalence of diabetes in each census tract was based on CDC PLACES data. Structural racism was defined as historic residential redlining using Home Owners’ Loan Corporation (HOLC) residential security maps from the Mapping Inequality project (higher scores indicate more redlining). Food access was defined using the modified retail food environment index (mRFEI) calculated for each census tract as the number of healthy food retailers divided by the number of both healthy and less healthy food retailers (higher mRFEI scores indicate better food access). Direct and indirect relationships between redlining and diabetes prevalence via food access was investigated using structural equation modeling run in Stata v17, controlling for population of each census tract. Mean prevalence of diabetes was 11.8. Redlining (0.22, p<0.001) and lower food access (-0.11, p<0.001) were directly associated with higher prevalence of diabetes. Redlining was indirectly associated with diabetes via food access (-0.10, p<0.001). Based on these findings, structural racism is associated with higher diabetes prevalence via decreased food access at a census tract level. Interventions to improve access to healthy food options at the community level may help address the impact of structural racism on the health of individuals, particularly those at risk for diabetes living in historically redlined neighborhoods.

Disclosure

R.J. Walker: None. S. Linde: None. L.E. Egede: None.

Funding

National Institutes of Health (R01DK118038, R01DK120861, R01MD013826, R01MD017574, R01MD018012)
The Final Frontier in Diabetes Care: Implementing Research in Real-World Practice
Authors: Green Jennifer B. , Crowley Matthew J. , Thirunavukkarasu Sathish , Maruthur Nisa M. , Oldenburg Brian
Published: June 2024

Despite extensive evidence related to the prevention and management of type 2 diabetes (T2D) and its complications, most people at risk for and people who have diabetes do not receive recommended guideline-based care. Clinical implementation of proven care strategies is of the utmost importance because without this, even the most impressive research findings will remain of purely academic interest. In this review, we discuss the promise and challenges of implementing effective approaches to diabetes prevention and care in the real-world setting. We describe successful implementation projects in three critical areas of diabetes care—diabetes prevention, glycemic control, and prevention of diabetes-related complications—which provide a basis for further clinical translation and an impetus to improve the prevention and control of T2D in the community. Advancing the clinical translation of evidence-based care must include recognition of and assessment of existing gaps in care, identification of barriers to the delivery of optimal care, and a locally appropriate plan to address and overcome these barriers. Care models that promote team-based approaches, rather than reliance on patient-provider interactions, will enhance the delivery of contemporary comprehensive diabetes care.
Merdeka Curriculum in Developing Soft-Skill Capabilities of Childhood Children at Homeschooling Kak Seto Surabaya
Authors: Yulianingsih Wiwin , Joni Artha I Ketut Atmadja , Soedjarwo  , Mita Lutviatiani  , Ahmad Abdullah Zawawi
Published: June 2024

The change in the education curriculum from the 2013 Curriculum (K-13) to the Independent Curriculum is a form of evaluation and an effort to improve the quality of education in Indonesia. This research aims to analyze the implementation of the independent learning curriculum in developing the soft skills of childhood-aged children in homeschooling at PKBM Kak Seto Surabaya. This type of research is qualitative research. The method applied is a qualitative method with a field research approach. The data collection techniques used were participatory observation and semi-structured interviews with administrators and parents of students. The data analysis technique uses qualitative descriptive analysis. The data analysis model applied is the Miles and Huberman model, namely through the stages of data collection, reduction, presentation, and conclusion. The results obtained in this research show that the implementation of the independent curriculum had a big impact on the development of soft skills for children in childhood, carried out by organizing educational programs such as Friday classes, English clubs, and sports activities that can improve soft language skills, the ability to manage emotions ( emotional skills), as well as social skills.
Scientific Approach Learning Tools Science Content Theme 9 Subtheme 1
Authors: I Kadek Ira Widiana  , Ni Ketut Suarni  , I Made Citra Wibawa
Published: June 2024

Many teachers need to make preparations when teaching, so teachers teach without preparation. Apart from that, related to the preparation of learning tools, especially RPPs, teachers need help determining the allocation of learning time. This research aims to develop scientific approach learning tools for science content Theme 9 Subtheme 1. This type of research is development research. The model used in developing learning tools is 4-D, which includes Defining, Design, Developing, and Disseminate. The research subject is 1 learning material expert. The individual trial subjects involved 2 teachers. The method used to collect data is a questionnaire. The instrument used in data collection was a questionnaire sheet. The techniques used to analyze the data are qualitative descriptive analysis and quantitative descriptive analysis. The results of the research, namely the results of the assessment given by learning material experts, received a score of 88%, resulting in good qualifications. The results of the individual media trials for teachers received a score of 97%, so they received excellent qualifications and did not need to be revised. The learning implementation plan (RPP) with science content in Theme 9 Subtheme 1 is suitable for learning.
The Effectiveness of Cognitive Behavioral Counseling with Bibliocounseling Techniques to Improve the Respectful Mind of Junior High School Students
Authors: Lestari Luh Putu Sri , Hidayah Nur , Ramli M. , Lasan Blasius Boli , Dharmayanti Putu Ari
Published: June 2024

Nowadays in junior high school there are students who show behavior that indicates a low respectful mind. In improving respectful mind of junior high school students is needed suitable technique in counseling, bibliocounseling techniques is one of suitable technique. This study aims to test the effectiveness of cognitive behavioral counseling with bibliocounseling techniques to improve the respectful mind of junior high school students. This study used a type of quasi-experimental design research using nonequivalent control group design. The sampling technique in this study is using a simple random sampling technique. The data analysis technique used in this study is through two ways, namely nonparametric statistical test, and Wilcoxon test conducted with the help of the SPSS for windows program version 25.00. The calculation results of the Wilcoxon signed rank test in table 4.12 show a Z value obtained of -2.524 with a p value (Asymp. Sig. 2-tailed) of 0.012 which is less than the critical limit of the study which is 0.05, this means that there is a difference between the pretest and posttest results in the respectful mind of students. Furthermore the paired t-test calculation results show a Sig. (2-tailed) value of 0.000 (p < 0.05). It can be concluded that there is a significant difference in students’ respectful minds after being given treatment.
Strengthening the Pancasila Student Profile in the Implementation of Freedom to Learn in Elementary Schools
Authors: Arifin  , Mas Sitti Roskina , Bafadal Ibrahim , Gaib Marlin
Published: June 2024

Currently, the nation's next generation still has low critical thinking skills, is less creative, and lacks character. This research aims to describe the character strengthening program for Pancasila student profiles, strategies for implementing strengthening character with global diversity and critical reasoning, as well as the impact of implementing strengthening character with global diversity and critical reasoning. This research is included in the type of qualitative research with a case study design. The subjects in this research were the principal, deputy principal, teachers and students. Data collection techniques are carried out through interviews, observation and documentation. The data analysis method was carried out using theme analysis with components of data condensation, data presentation and drawing conclusions. The results of the research show that the program strengthens the character profile of Pancasila students with global diversity, namely religious activities, exhibitions and getting students to care about the environment. The critical reasoning character strengthening program is the implementation of learning based on diagnostic assessment, training and socialization. The implementation strategy for strengthening global diversity of character is socialization regarding Pancasila students, as well as providing real examples of example and discipline. Strategies for developing critical reasoning skills in collaboration with various parties, providing class management guidance and guidance, providing extracurricular activities, and implementing problem posing learning models. There are various positive impacts in implementing character strengthening with global diversity and critical reasoning. The latest information in this research could have implications for providing programs or strategies to strengthen the profile of Pancasila students.
Transforming English Language Learning in Elementary Schools Through Augmented Reality
Authors: Purnama Yulian , Wijayanto Pikir Wisnu , Barlian Yelly Andriani , Nurbani Sri , Syathroh Isry Laila
Published: June 2024

The problem with learning English in elementary schools is the low learning outcomes of students, especially in understanding the material. The urgency of applying Augmented Reality (AR) technology as a learning medium is to improve students' understanding of English more interestingly and interactively. This research aims to evaluate the effectiveness of using AR in improving student learning outcomes in English subjects in elementary schools. The research method used is quantitative with the research subjects being elementary school students. The data collection technique is carried out through questionnaires filled out by students after using AR-based learning media. The data analysis technique used is a statistical analysis to measure the increase in student learning outcomes before and after using AR. The research results show that there is a significant increase in students' understanding of English material after using AR as a learning medium. This research concludes that the application of AR is effective in improving student learning outcomes in English subjects in elementary schools. The implication of this research is the need to integrate AR technology into the English language learning curriculum in elementary schools to improve the quality of learning and students' understanding of the subject matter.
Indonesian Language Training Management on Teacher Competency, Profession, and Social Affairs
Authors: Tarigan Budi Akhmad , Komari
Published: June 2024

Observation results showed that 42% of language teachers were satisfactory and 52% were unsatisfactory. Student achievement and exam results in Indonesian language lessons dropped drastically in 2016. Another fact is that of the 31,464 teachers, 83.89% were at the expected, satisfactory, weak, and very weak levels. This condition is urgent to research. The aim is to analyze the impact of competency management training on the knowledge and understanding of Indonesians, personally, professionally, and socially. Research method use in this study is descriptive survey. The population was selected using purposive sampling involving 210 out of 380 teachers from education throughout Indonesia. Data collection techniques is using questionnaires as the instrument. Statements in the questionnaire are constructed based on 2 standards, namely Knowledge and Understanding. Questions are asked to be rated on a 1-5 point Likert Scale. Instruments were distributed to human resources, namely teachers via Google. Analysis techniques with data statistics show percentages, standard deviations, and average scores, as well as describe relationships based on Pearson correlation statistics. The results show that the average knowledge and understanding score is (M = 4.51, SD = 0.39) among language teachers quite high. There is a relationship between the three domains (r = 0.178). The data also proves that there is a significant relationship between knowledge management training and understanding Indonesian with competence in three domains, namely personal, professional, and social domains.
Project-based Learning Integrated Padlet and Motivation on Students’ Writing Skill
Authors: Lubis Sofia Idawati , Prihartini Syafrina
Published: June 2024

One of the most effective strategies in facing the challenges of this digital age is to integrate technology into Project-based Learning (PjBL) in English classrooms. Teacher innovation and creativity are expected to improve students' competence in English, especially in writing This study aims to analyze the effect of a project-based learning model integrated Padlet and motivation on students' writing skills. This research method is post-test-only experimental research with a 2x2 factorial design.  The population is grade VIII students at junior high school. Samples of 2 classes were selected using cluster random sampling and divided into two groups; that is, the experimental group and the control group. The instruments used were motivation questionnaires and writing tests. Data were analyzed with a two-way ANOVA and Tuckey test. The results proved that, first, there was a significant difference in the students’ writing competence between the students who were taught with PjBL-integrated Padlet and students who were taught conventionally. Second, there was a significant interactional effect on students' writing competence between the learning model applied and student motivation. Third, there was a significant difference in the students’ writing competence between the students who had high motivation when they were taught with PjBL-integrated Padlet and the conventional model. Fourth, there was a significant difference in the students’ writing competence between the students who had low motivation when they were taught with PjBL-integrated Padlet and the conventional model.
How School Principals’ Managerial Skills Influences Teacher Self-Efficacy
Authors: Riswandi  , Azizah Alif Luthvi , Siagian Nursalamah , Anwar Sumarsih , Utami Nur Ridha
Published: June 2024

Teacher self-efficacy is an individual teacher's belief in his ability to manage, design and plan the activities needed to achieve educational goals. Teachers with high self-efficacy will provide many new ideas in their teaching. This study aimed to analyze the influences of school principals’ managerial skills on teacher self-efficacy, based on a quantitative research with the type of research ex-post facto. Data were collected using questionnaires with a Likert scale from 354 teachers in public elementary schools. The validity and reliability of the instrument were assessed, and the Pearson product moment correlation was used to examine the data. By first verifying normality, heteroscedasticity, multicollinearity, and linearity, the data collected was analyzed to find the direct correlation among variables. The study’s results showed that there was a positive and significant influence between the school principals’ managerial skills on teacher self-efficacy. The findings may be useful for developing countries seeking to improve teacher self-efficacy and the quality of their education. As suggested by the current research, ensuring teacher self-efficacy in teaching is crucial because of its positive impact on those with lower qualifications, ranks, and experience. The practical implication of this research is that the managerial skills of school principals can be improved continuously because it has been proven to increase teacher self-efficacy.
Modernizing Education: Empowering the Potential of E-Comic Media for Improved Learning Interest and Learning Outcomes
Authors: Bukian I Gusti Ayu Made Winda Pradnyasari , Gading I Ketut , Bayu Gede Wira
Published: June 2024

Low student interest in learning has impact on low learning outcomes due to the lack of use of electronic learning media. This study aims to develop e-comic media that passes acceptability test and effective to increase learning interest and learning outcomes of science and social studies in fifth grade elementary school. This research develops e-comic learning media on the topic of Indonesiaku Kaya Hayatinya using the ADDIE model. The population in this study were eight schools. Sample selection using random sampling technique so as to obtain one control group and one experimental group. The subjects of this study are students from the sample schools. Research data in the form of science and social sciences learning outcomes were obtained through tests in the form of assignments and the acceptability of e-comic media and student interest in learning were obtained through questionnaires. The results of the e-comic media development acceptance test were declared feasible based on reviews by learning material experts, learning media experts, and two expert learning practitioners. The student response test obtained an average product of 4,8 with very good practicality qualifications. The results of the effectiveness test of e-comic media development to increase learning interest and learning outcomes are significant differences between groups of students who use e-comic media and groups of students who do not use e-comic media. This study has implications for e-comics that able to increase students' interest in reading with attractive graphic elements, enrich experience through the presentation of visual information, and help understanding concepts.
Junior High School Student’s Computational Thinking Ability in Solving Mathematical Problems
Authors: Hartawan I Gusti Nyoman Yudi , Putri Luh Hanny Arsana , Mahayukti Gusti Ayu
Published: June 2024

The low ability of students to solve mathematical problems through key aspects such as decomposition, pattern recognition, abstraction, and algorithmic thinking occurs due to a lack of creative strategies in learning. This study aims to provide an in-depth understanding of these obstacles and propose more effective learning strategies. This research is qualitative descriptive research. The subjects of this study were 40 students of grade VII junior high school. Research subjects with low computational thinking skills or obtained the lowest total score of 5 students. The data collection method used in this study was by computational thinking skills test and in-depth interview. The computational thinking ability test was carried out using questions adapted from the Bebras Task questions that had been tested for validity and reliability. The results of this study are (1) the computational thinking ability of grade VII junior high school students is classified as medium with the percentage of each component of computational thinking ability is 47.25% (decomposition), 35.25% (pattern recognition and generalization), 50.38% (abstraction), and 29.88% (thinking algorithms); (2) Obstacles faced by students in solving mathematical problems that cause students who have computational thinking skills, categories including students who are not accustomed to sorting information as activities in the components of abstraction skills and the core of computational thinking skills. The implications of these findings suggest that research subjects in the lower category computational thinking skills have a tendency to struggle in mastering the abstraction skill component.
Self-Efficacy and Determinants of Newborn Resuscitation Practices among Healthcare Professionals in Chipata District, Eastern Province, Zambia
Authors: Daka Mwanida , Tsarkov Anatolii , Petlovanyi Petro , Makoleka Maureen Masumo , Lungu Gabriel , Mpundu Gabriel , Chanda Estella Mukuka , Phiri Crecious
Published: June 2024

Background: Effective newborn resuscitation in healthcare institutions depends on factors like supervisor support, knowledge, availability of functional equipment, and self-efficacy of healthcare professionals. This study investigated self-efficacy and related factors in newborn resuscitation among healthcare professionals in Chipata District Health facilities.
Methodology: This cross-sectional study involved 85 healthcare professionals selected through simple random sampling. Data were collected using a self-administered questionnaire on self-efficacy for newborn resuscitation, completed after obtaining consent. Data analysis was performed using SPSS version 21, employing Pearson chi-square or Fisher’s exact tests. A multivariate binary logistic regression model analyzed associated factors, with significance set at p < 0.05.
Results: Overall, 69% of respondents exhibited high self-efficacy in newborn resuscitation. Among females, 88.5% reported low self-efficacy compared to 11.5% of males. High self-efficacy was seen in 83.1% of those trained in the past five years. Additionally, 58.8% demonstrated high knowledge levels. Supervisor support was reported by 56%, but 85.7% of facilities lacked functional resuscitation equipment and supplies.
Conclusion: Despite high self-efficacy levels, gaps remain in the provision of newborn resuscitation and professional self-efficacy. Ineffective supervision and lack of resuscitation equipment hindered practice experience and full commitment, especially among female participants.
New Physics II – Quantum-Dialectical Derivation of New Mass-Energy Relation Invalidates Einstein’s Famous Equation E = mc2
Authors: Malek Abdul
Published: June 2024

The notion that human scale inertial mass and the various forms of tangible energy, like kinetic, heat, light, chemical, gravity, etc., have some kind of equivalence; existed since the time of Isaac Newton. Historically, based purely on epistemological and phenomenological perspective, there has been speculative, theoretical, and experimental attempts based on electrostatic, electrodynamic and relativistic, etc., consideration to deduce a quantitative relation between mass and energy. By the turn of 20th century, a vastly oversimplified and wrongly derived relation ΔE = Δmc2, where E is energy, m inertial mass, and c the velocity of light; has been unjustly attributed to Albert Einstein. This relation presumed to be universally valid for all forms of inertial mass and energy, but without valid evidence, along with the physically and mathematically invalid arbitrary derivation by Einstein; have enjoyed acceptance and is veneration by official science for more than hundred years and still continue. Einstein’s false mass-energy formulation, seems to be due to the unfortunate combination of a number of factor: 1) epistemological misunderstanding; 2) the ill effects of the use of unscientific axiomatic truth of the universal constancy of the (zero-mass) light velocity c, that has given rise to unphysical objects, concepts and notions of reality; 3) workings of (even if unended) mathematical tricks; and 4) most of all, as implied in the mass-energy equation, the wrong conception that the kinetic motion of any object leads to the increase of its inertial mass by the Lorentz gamma factor. All these combined in a negative way to result in the irrational replacement of the velocity v of classical kinetic energy equation with relativistic c. The falsity of the claim of relativistic mass-energy relation would be clear from recent reports that one can derive Einstein’s mass-energy equation from Newtonian mechanics alone, simply by using the wrong concept of relativistic mass increase, instead of a constant inertial mass of classical mechanics.   All the concerns about Einstein’s formulation of the mass-energy relation, raise serious doubt about its scientific validity. A more comprehensive ontological approach based on an understanding of the origin of matter and motion in their elementary form, seems to be imperative, to settle the issue of mass-energy relation. Hegel’s philosophy of space and time and his dialectical ontology of the origin of matter and motion, now realized through quantum-dialectics, offers such a paradigm for a scientific and rational derivation of the mass-energy relation.
Categorização da poluição do ar por navios no Porto de Santos (Santos, Brasil)
Authors: Ramires Ricardo Henrique de Ponte , Bauer Gerson , Bastos Paula Andrea de Santis , Maquigussa Edgar , Sales Elizabeth Barbosa de Oliveira
Published: June 2024

O Porto de Santos (Santos, SP) é protagonista na economia da cidade, porém suas atividades geram conflitos com o espaço residencial urbano. O objetivo foi mensurar a poluição do ar oriunda de navios no Porto de Santos, para demonstrar aos órgãos públicos a importância dessa problemática, visando promover a melhora da saúde e da qualidade de vida da população da região. A metodologia empregada foi a conversão do volume de cargas transportadas em frações dos poluentes atmosféricos, levando em consideração os portes dos navios e seus trajetos de navegação da entrada do canal do porto até o ponto de atracação durante FEV/2021 a FEV/2022. O dióxido de carbono foi o poluente com maior emissão no período analisado, seguido de óxidos de nitrogênio, monóxido de carbono, óxidos de enxofre, compostos orgânicos voláteis e material particulado. O aumento do volume de mercadorias transportadas e a maior frequência de movimentação teve relação direta com as quantidades de poluentes. O tempo de funcionamento dos motores das embarcações, tanto na entrada quanto na saída do Porto, impactou na quantidade de poluentes, assim como a velocidade de navegação, já que velocidade reduzida na entrada no canal do Porto proporciona maior economia de combustível e consequente menor poluição. Portanto, os resultados sugerem a presença de uma grande quantidade de fontes poluidores atmosféricas na região portuária de Santos, principalmente CO2, sendo o transporte de granel sólido o principal responsável no período analisado.
Palavras-chave: ecotoxicologia; poluição atmosférica; navios.
Curatorial Narrative and Spatial Language in Cultural and Educational Exhibitions
Authors: Liu Yihong , Wenjia Gu , Yuchen Feng
Published: June 2024

With the development of information media and the change of design concepts, the mode of cultural education has deepened from one-way linear to two-way circular. Lefebvre’s perspective is used in the study to uncover the curatorial narrative of cultural education exhibition space, and the ternary structure of cultural education spatial language is constructed from both time and space dimensions. At the same time, three multi-objective evolutionary algorithms are combined to optimize the spatial layout of cultural education, and according to the dominance of the solutions obtained by the algorithms, the optimal set of spatial layout solutions for cultural education is further sought. Finally, using the S cultural education exhibition hall as a case study, the characteristic relationship between spatial languages is reflected by studying the measures of centrality and spatial self-explicitness of the cultural education space. The sample cultural education exhibition’s spatial intelligibility is 0.3017, which establishes the aesthetic foundation of the spatial language, according to the results. The symbolic meaning of spatial language is constructed by the degree of spatial synergy, which is 0.51. To sum up, this study offers new ideas for the transformation and development of current cultural and educational exhibitions.
The Use of AI Technology in Digital Ceramic Technology
Authors: Zheng Huayan , Hu Yaqian , Yang Jing
Published: June 2024

With the development of AI technology, the development of the ceramic industry has ushered in a good opportunity. This paper discusses the application of AI technology in the field of ceramics on the basis of deep convolutional generative adversarial network, using Adam optimizer to further improve the performance of the model, using the hidden space to add noise to each layer of the network, and proposing a digital ceramic texture image generation model based on DCGAN. Meanwhile, the K-Means algorithm and feature fusion mechanism with BWP as the evaluation index are introduced to improve the Faster R-CNN algorithm and construct the ceramic defect detection model. The scores of each subjective evaluation index of image generation quality are greater than 4, which are located in the interval of higher evaluation. The scores of IS, BRISQUE, and NIQE are 3.39, 22.57, and 4.43, and the quality of ceramic texture image generation of this paper’s model is better than that of other algorithms. The ceramic defect detection model’s detection accuracy for all five ceramic defects is higher than 92.68%, with an 8.54% improvement over the original algorithm’s defect detection performance. The research in this paper has important theoretical and practical significance for ceramic product design, quality control, and troubleshooting of production equipment.
Research on Digital Teaching Methods of English for Reading and Writing Integration Orientation
Authors: Liu Xinying
Published: June 2024

In this study, we examine the operational process of integrated English literacy teaching and construct a combined digital teaching model for English literacy. This model leverages the benefits of digital teaching methods to enhance the instructional framework. Then, we analyzed the effect of English literacy combined with digital teaching on the learning effect of students of different genders and different grades by using the F -test and t -test of the model and studied the correlation between English literacy combined with digital teaching and each dimension based on the Pearson’s correlation coefficient, and finally explored the significance relationship between this teaching mode and students’ learning effect. The results show that the significance coefficients between English literacy combined with digital teaching and students’ learning effect, reading ability, and learning interest are 0.04, 0.022, and 0.035, respectively. They are significant at a 1% level, which indicates that English literacy combined with digital teaching has a direct impact on students’ comprehensive learning effect of English.
Design of Intelligent City Communication Network Based on Internet of Things
Authors: Ma Yongbo , Peng Yu
Published: June 2024

In response to the advancements in Internet of Things (IoT) technology and the growing demands for data transmission, there is a crucial need for further integration of communication network technology with IoT to enhance efficiency. This paper presents the design of a multi-node communication network model utilizing the Orthogonal Frequency-Division Multiplexing (OFDM) algorithm. In the realm of physical layer parameter design, uplink, and downlink carriers are allocated based on OFDM symbols, employing the Zadoff-Chu (ZC) sequence as the pilot frequency sequence. Additionally, the Cyclic Redundancy Check (CRC) error-checking code is implemented to ensure the accuracy of network transmissions. The model proposed in this study is applied to the operational dynamics of traffic systems within a smart city, focusing on the security and operational efficiency of the traffic communication network. Empirical testing and analysis demonstrate that the communication network, as designed, is susceptible to malware attacks by 25.68%, representing the least vulnerability among the three algorithms assessed. Moreover, in examining the bus trip time distribution with the implementation of this model, the average running time is predominantly around 11.76 minutes, which is a reduction of 0.74 minutes compared to previous configurations, thereby indicating an improvement in operational efficiency.
Building a Korean Language Teaching Resource Library Based on Python Crawler
Authors: Quan Jihong , Quan Jiyue
Published: June 2024

Nowadays, with the popularization of online education how to efficiently and accurately obtain the required educational resources from web pages is one of the key concerns in the teaching process. Based on the principle of maximum distance, the study improves the K-mean and establishes a learner group feature model based on the DM-K-mean clustering algorithm. In addition, for the problem that the importance of learning resources to learners changes with time, this paper integrates the time information into the neural collaborative filtering algorithm through the clustering classification algorithm. It proposes a deep learning-based recommendation algorithm for Korean language teaching resources. Python crawler technology is used to obtain relevant experimental data from the online teaching platform to verify the performance of the proposed model, so as to construct the Korean language teaching resource base. The learner group characteristic model classifies the sample students into three categories: excellent (0.489), good (0.307), and average (0.204) learning situations. The HR and NDCG values of the Improved NeuMF resource recommendation model have been improved by 3.6% and 2.2% compared to the NeuCF model, respectively, and the performance is optimal under various factors. The proposed system for teaching Korean language resources in this paper can recommend resources based on learner profiles to help learners access teaching resources and improve efficiency.
The Importance and Practice of College Students’ Ideological and Political Education in Higher Education-Based on the Perspective of Principal Components Analysis
Authors: Shao Yexin
Published: June 2024

With the rapid development of artificial intelligence technology, the traditional mode of civic education has not adapted to the development of the times and is in urgent need of innovation. This paper proposes an evaluation study of civic education in colleges and universities based on the hierarchical analysis method (AHP)-principal component analysis (PCA). Starting from the current situation of civic education, based on the principle of evaluation index system construction, the evaluation index system of civic education is initially formulated. Then, the expert argumentation is used to modify and improve the initially formulated evaluation index system and then to determine the final version of the evaluation index system of civic education. On the basis of the evaluation index system, a combination of AHP and PCA algorithms is used to construct the evaluation model of civic and political education, and the statistical analysis software SPSS20.0 is used to analyze the constructed model. The results show that the Sig value between the evaluation indicators of the first level is less than 0.05, which means that the data are judged to be suitable for principal component analysis. The percentage of variance of the first three components after the rotation is 28.69%, 28.10%, and 25.48%, which indicates that the three principal components explaining the evaluation indicators of the first level are relatively average. This study promotes the development of civic education, thereby improving the level of civic education in colleges and universities.
Research on Image Classification and Recognition Technology Based on Machine Learning
Authors: Wang Yan
Published: June 2024

In the burgeoning field of computer vision, image classification and recognition have emerged as pivotal areas of research within computer science. This paper introduces a novel approach by amalgamating the Gramian Angular Field (GAF) method, recursive map technique, and Short-Time Fourier Transform (STFT) to devise a joint coding method for null spectrum analysis aimed at extracting spatial features from images. Subsequently, a hybrid classifier combining Deep Convolutional Neural Network (DCNN) and Support Vector Machine (SVM) algorithms—termed 3DCNN-SVM—is constructed to classify and recognize these extracted features. Further, this study conducts a comparative analysis between the proposed feature extraction and classification method and traditional algorithms. The focus of this evaluation is on the domain of vehicle label image recognition, aiming to ascertain the efficacy of the newly developed algorithm. This comprehensive comparison underscores the enhancements in accuracy and efficiency provided by the integration of 3DCNN-SVM in recognizing complex image features, thereby contributing significantly to the advancements in computer vision technology. The results show that after 35 iterations of training, the accuracy of 3DCNN-SVM reaches 99.5% with a loss value of 0.0877. Compared with ShffleNetV2 0.5×, ShffleNetV2 0.5×+ECA, ShffleNetV2 0.5×+ECA +Mish, ShffleNetV2 0.5×+ECA + Mish+SEP are 9.46%, 8.83%, 6.60%, and 5.52% higher on the average accuracy rate of 18 kinds of vehicle label images recognition, respectively. The 3DCNN-SVM classifier model constructed based on machine learning-related theory in this paper realizes the optimization of the traditional classification model and makes the classification and recognition of images more accurate, which has important practical significance.
Analysis of Influencing Factors on Consumers’ Purchase Intention in Cross-border E-commerce Live Streaming
Authors: Wu Xiaoli
Published: June 2024

Under the environment of rapid development of e-commerce platforms and Internet technology, consumers are more and more inclined to online shopping. This paper takes consumers’ perceived value as the main research object and adds platform attributes, such as function, content, brand, etc. The main factors affecting perceived usefulness, perceived entertainment, and perceived risk construct a theoretical model of the factors affecting consumers’ willingness to buy in cross-border e-commerce live streaming. In order to further analyze the importance of the factors influencing consumer purchase intention in cross-border e-commerce live streaming, this paper constructs a prediction model based on random forest according to the evolution of consumer purchase intention and the prediction of consumer purchase intention. Consumers’ perceived value of cross-border e-commerce platforms is not affected by perceived risk, as shown by the regression and prediction analyses. Perceived usefulness and perceived entertainment are affected by platform attributes accordingly. Cross-border e-commerce live streaming has the most significant impact on consumers’ willingness to buy, with platform features accounting for 17% of all influencing factors. The role of platform function in consumers’ purchase intention in cross-border e-commerce live streaming is demonstrated in this study.
Research and Practice on Strategic Planning and Resource Allocation Optimisation Model of Off-site Research Institute
Authors: Zhao Yingtao , Hua Zhilei , Liu Yiying , Hao Liqun
Published: June 2024

Off-site research institutes serve as crucial platforms for universities to facilitate the translation and application of their scientific research outcomes. Additionally, these institutes act as vital intermediaries for local governments to harmonize scientific inputs with economic development and play a key role in the industrial transformation and elevation of regional science and innovation levels. Drawing on the triple helix theory, this paper outlines strategic planning for off-site research institutes and develops a multi-objective linear programming model aimed at optimizing resource allocation. This model focuses on enhancing both the efficiency of resource utilization and the efficiency of resource allocation at these institutes. To address the issue of local minima commonly encountered in optimization algorithms, this study employs a simulated annealing algorithm to refine the performance of the particle swarm optimization algorithm. The resulting hybrid algorithm termed the simulated annealing particle swarm algorithm, is applied to solve the proposed model and investigate the determinants of optimal resource allocation. The findings indicate a significant improvement in resource allocation efficiency, with the coefficient for heterogeneous research institutes decreasing from an average of 0.84 in 2020 to 0.68. This optimization has led to a more effective and rational distribution of resources, better meeting the needs of the institutes. Furthermore, the analysis reveals that financial support and talent introduction and development account for approximately 69.7% of the variance in the optimized development of resource allocation at these institutes. The study provides actionable insights that could guide the optimal development of off-site research institutes, offering valuable references for future applications.
Application of embedded systems in electrical engineering automation and energy-saving design
Authors: Liu Yuxuan
Published: June 2024

With the advancement of embedded systems, their application across diverse sectors has notably expanded. This paper delineates the fundamental architecture of embedded systems and separately engineers the hardware and software components for an energy-efficient embedded system tailored for electrical engineering automation. The focus is placed on the energy-saving control module of the embedded system, which incorporates fuzzy logic with a PID control algorithm to produce definitive signal outputs. Building upon this foundation, the performance of this enhanced algorithm was evaluated and subsequently implemented in the tunnel lighting electrical engineering project. The findings reveal that the embedded system-controlled lighting setup can adjust the tunnel entrance and mouth lighting based on external luminance levels, maintaining daily energy consumption at approximately 550 kWh with an energy savings rate reaching as high as 51% per day. This study affirms the substantial potential of embedded systems in advancing energy-efficient solutions within electrical engineering automation.