bluuebunny/crossref_metadata_2025 huggingface dataset:
Parallel Channel Feature Weighted Seizure Prediction Based on Multi-Scale Spatial and Temporal Factorization
Authors: Han Jinying
Published: October 2024

Epileptic seizure prediction based on electroencephalography (EEG) plays an important role in the field. However, the existing epilepsy prediction methods have little modeling ability to capture the interaction between features, and the high redundancy of features leads to the limitations of model performance. In addition, the feature information guided by the multi-channel spatial location of the brain region is ignored. To solve these problems, this paper proposes a parallel channel feature-weighted seizure prediction network based on multi-scale temporal and spatial factorization (MS-STFM-PCFWNet). Specifically, the feature information of time domain and multi-channel spatial domain of brain region can be extracted by using feature matrix to fully learn the correlation between channels. Secondly, the multi-scale spatiotemporal Factorizer (MS-STFM) is utilized to combine and interact the features, and the correlation information between the features is captured. Finally, by combining the multi-scale Inception module with an efficient channel attention mechanism, a parallel channel feature weighted network (PCFWNet) is constructed to effectively learn multi-domain features and map the discriminant representation of epilepsy prediction. The proposed MS-STFM-PCFWNet is evaluated on public CHB-MIT and BONN datasets. The experimental results show that compared with the most advanced methods, the proposed method achieves excellent predictive performance, which can be used for early warning of epileptic seizures in specific patients.
Study on the Inheritance System for Virtual Property on The Internet
Authors: Hu Ting
Published: October 2024

With the progress of Internet technology, the network has become an indispensable part of people's lives. Due to the economic development to promote productivity and production mode to produce changes, so that the network virtual property gradually received people's attention. The protection of network virtual property in China is only stipulated in Article 127 of the Civil Code. However, this article is only a guiding provision for network virtual property and network virtual property inheritance has not yet made clear provisions, therefore, this paper will focus on the attributes of network virtual property, the necessity of inheritance, and the problems arising in the process of inheritance research, and strive to find appropriate solutions.
IMPROVEMENT IN LV END-DIASTOLIC PRESSURE AFTER PRIMARY PCI AND ITS IMPACT ON PATIENTS’ RECOVERY
Authors: ABUBAKAR M , SAQI MAUR , PERVEZ S , SIAL JA , ASHRAF MW , FAROOQ M
Published: October 2024

Left ventricular end-diastolic pressure (LVEDP) is a crucial indicator of cardiac function, particularly in patients with acute ST-segment elevation myocardial infarction (STEMI). Primary percutaneous coronary intervention (PCI) is the standard of care for STEMI, but its impact on LVEDP and patient recovery remains to be thoroughly studied. Objective: This study aimed to evaluate the improvement in LVEDP following primary PCI in patients with acute STEMI and to assess its impact on recovery and clinical outcomes. Methods: This prospective study included 100 patients with acute STEMI treated by primary PCI. LVEDP was recorded at four-time points: before PCI, and at one week, one month, and three months post-PCI. Demographic and clinical characteristics were also collected. Statistical analysis was performed to compare LVEDP values at different time intervals using paired t-tests and repeated measures ANOVA to assess significant changes over time. Results: The mean LVEDP significantly decreased from 18 ± 4 mmHg before PCI to 12 ± 3 mmHg at one week, 10 ± 2 mmHg at one month, and 9 ± 2 mmHg at three months post-PCI (p < 0.001). This demonstrated a consistent improvement in left ventricular function and hemodynamic status, suggesting favorable patient recovery post-intervention. Conclusion: Primary PCI significantly reduces LVEDP in patients with acute STEMI, leading to improved cardiac function and patient recovery. Monitoring LVEDP post-PCI can serve as a valuable predictor of patient prognosis and long-term outcomes. Further studies are warranted to explore additional therapies that may further enhance recovery and improve the quality of life in STEMI patients.
A Study on the Discourse Markers of "Wo Gei Ni Shuo" in Modern Chinese
Authors: Wang Siyu
Published: October 2024

The discourse mark "wo gei ni shuo" is very important in natural dialogue. This study explores the position, pragmatic function and formation of the discourse mark "wo gei ni shuo". Discourse mark "wo gei ni shuo" has three kinds of position in sentences, among which the highest frequency of use found in middle of sentences, and the semantic meaning is mostly directed to the following information unit; The discourse mark "wo gei ni shuo" has four pragmatic functions of emphasizing information, subjective cognition, suggestion evaluation and imperative. The formation of discourse markers is the result of both lexicalization and grammaticalization. Studying the use position, pragmatic function and formation of discourse marker "wo gei ni shuo" is helpful to the development of text teaching and international Chinese teaching.
Reconstruction of Gender Roles and Female Self-Identity: A Case Study of the Film Kill Bill
Authors: Zhang Tianzi
Published: October 2024

Quentin Tarantino's Kill Bill was released in North America in 2003. The storyline is relatively simple, revolving around Beatrix, a former professional assassin in the underworld, who, upon discovering her pregnancy, decides to abandon her past life of violence and bloodshed and settle down as the owner of a video store. Bill, her former lover and boss, dissatisfied with Beatrix's silent withdrawal from the "Vipers" organization, leads his criminal associates to massacre the wedding rehearsal, leaving no one alive except the protagonist. After miraculously surviving and lying in a hospital for four years, Beatrix embarks on a journey to exact revenge on her enemies. Undoubtedly, Kill Bill is often labeled as a revenge-driven and violent Hollywood film. However, beyond its violent exterior, the film reveals deeper feminist perspectives: it challenges traditional male authority, reflects women's resistance to the constraints on personal and emotional freedom, and highlights the awakening of modern female consciousness.
Enhancing the Creativity of Soft Article Writing through Creative Writing
Authors: Liang Sijia
Published: October 2024

In the era of rapid development of new media, the cultural industry is flourishing as a whole. Soft article writing, as a category of creative text production, is characterized by its emphasis on creativity. The field of creative writing, which has already seen some development in China, may provide a means to enhance the creativity of soft article writing. This paper analyzes the feasibility of using creative writing to improve soft article writing and proposes practical suggestions accordingly, from clarifying teaching objectives to designing course content. Using creativity as a guiding thread, the goal is to build a bridge between creative writing and soft article writing.
Reduce global warming caused by carbon emissions through green buildings
Authors: Liao Jiabao
Published: October 2024

Global warming, a significant challenge that humanity faces in the 21st century, is like an arrow on a taut string, ready to be released. According to relevant data, the average temperature of the Earth has been rising at a visible rate in the past few decades. This change has already had a tremendous impact on human life, the ecological environment, and economic development. Behind this, the excessive emission of carbon dioxide is undoubtedly the culprit. How to reduce carbon emissions to alleviate global warming has become an issue that humanity must face. However, the development of green building is not something that can be achieved overnight; it requires the joint efforts of all of us. In China, significant progress has been made in the development of green buildings, but it also faces certain challenges. We have reason to believe that as long as we adhere to our beliefs and continue to explore, green buildings can certainly play a greater role in reducing carbon emissions and mitigating global warming.
New plant health monitoring framework
Authors: Chen Meiyan
Published: October 2024

With the continuous advancement of technology and the expanding demands of the agricultural market, plant health monitoring holds significant importance in the agricultural sector. However, according to statistics, most current monitoring models exhibit low detection efficiency and inadequate accuracy. To address these issues and specifically enhance the efficiency and accuracy of plant health monitoring, this paper proposes a recognition strategy and plan composed of two parts: (1) identification of plant species and (2) health monitoring, diagnosis, and treatment recommendations. During the health monitoring process, issues such as plant diseases, pests, nutrient deficiencies, and inadequate environmental conditions can be detected. This strategy, implemented through a systematic automated monitoring system, will greatly benefit the large-scale development of agriculture.
Predicting smartphone prices using machine learning algorithms
Authors: Zhao Zheng
Published: October 2024

This study investigates the prediction of smartphone prices using machine learning algorithms, motivated by the increasing demand for accurate pricing information in the highly competitive and rapidly evolving mobile phone market. With the proliferation of smartphones and the constant introduction of new models with varying specifications, it is crucial for consumers, retailers, and manufacturers to have a reliable method for estimating prices based on technical features. Accurate price prediction can assist consumers in making informed purchasing decisions, retailers in setting competitive prices, and manufacturers in optimizing production costs and pricing strategies. Utilizing Decision Tree Regression, Support Vector Regression (SVR), Random Forest Regression and Convolution Neural Network (CNN), the research investigates the efficacy of these methods in estimating prices accurately. Principal Component Analysis (PCA) is applied to reduce dimensionality and enhance model performance. Through rigorous experimentation and hyperparameter tuning, Random Forest Regression emerges as the most effective method, achieving the lowest Mean Squared Error (MSE) and the highest R-squared (R) score. The findings highlight the potential of ensemble learning techniques in addressing complex prediction tasks.
Prediction of carbon dioxide levels in the European Alps based on machine learning algorithms
Authors: Wu Yifan , Duan Qiwen , Sui Jiaqi
Published: October 2024

With the rapid development of world industrialization, the continuous increase of global carbon dioxide emissions has led to the gradual deterioration of the ecological environment and the obvious aggravation of the greenhouse effect. In this paper, the carbon dioxide content in the air over the European Alps is taken as the research object, and the RNN and LSTM neural network prediction models are respectively used to compare and predict it. The results show that the fitting effect of LSTM is better than that of RNN, and the fitting effect of the prediction model will also improve with the increase of iteration times and sample size. Since carbon monoxide and methane in the air will cause changes in carbon dioxide content, this paper adds the two factors into the LSTM prediction model as influencing factors, and the goodness-of-fit can reach 0.95, which is higher than the prediction results when there are only one influencing factor or no influencing factor. In order to reduce the running time, XGBoost, LightGBM and random forest algorithms are respectively used in this paper and Bayesian optimization algorithm is used to predict the carbon dioxide content. The results show that the prediction effect is slightly lower than LSTM. Therefore, this paper takes the above three algorithms as the base model. Linear regression experiments are carried out for the meta-model's Stacking fusion algorithm. The goodness-of-fit can reach 0.92, which significantly improves the prediction effect compared with the base model. Finally, the sensitivity analysis of the Stacking fusion model is carried out in this paper. The experimental results show that the model has strong stability.
Automated pricing and replenishment forecasting for vegetable items
Authors: Cai Mingyang
Published: October 2024

Firstly, the thesis extensively analysed and processed the vegetable sales data of a fresh food superstore. It integrated the product information and sales data of each vegetable category, and carried out data cleaning and analysis through Excel tools, including sorting out the outliers, listing the sales volume of each of the six categories, using pivot tables for statistical analysis, and establishing line graphs, heat maps, scatter plots, and other visual displays of the data characteristics and correlations. Secondly, the thesis investigated the relationship between sales volume and pricing, fitted the correlation between total sales volume and pricing using a random forest regression model, and predicted the daily replenishment volume for the coming week using an LSTM time series model. It also fitted quantitative fitting formulas for metrics for each vegetable category, classified profits into normal sales volume profits and discounted sales volume profits, and ultimately maximised profits through dynamic programming models and particle swarm optimisation algorithms. Finally, the thesis considered the impact of other factors such as weather, holidays, seasons and market environment on sales volume with specific data collection and analyses that help guide better pricing strategies. The findings will contribute to a better understanding of vegetable sales behaviour and optimise superstore operational strategies.
ECG signal classification based on DWT denoising and XGBoost
Authors: Yu Xinyi
Published: October 2024

Electrocardiogram signal (ECG) can directly reflect the health status of the heart, and is an important basis for prevention and treatment of heart disease. In order to realize ECG signal classification effectively, an ECG signal classification method based on discrete wavelet transform and Xgboost is proposed in this paper, which improves the accuracy of ECG signal classification. Specifically, we first divide, select and downsample the heart beat of the data, and then use the discrete wavelet transform to reduce the noise of the data set to improve the signal to noise ratio. Finally, we use Xgboost algorithm as the classifier to classify the data, and get 98.7% accuracy rate on the test set. In each module, we carried out comparative experiments to verify the correctness and rigor of our method. In addition, in order to make up for the lack of interpretability of traditional machine learning methods, we defined the importance of each feature according to the information gain generated by different features to the model during the training of XGBoost, and then got the key bands that should be paid attention to when distinguishing heart beats, which improved the interpretability of the model. It also provides a scientific basis for the classification of ECG signals and practical medical work.
Signal recognition and prediction system based on random forest model
Authors: Hu Junhao
Published: October 2024

To accurately predict the occurrence of rock bursts during deep coal mining and ensure the safe and efficient operation of coal mines, a signal recognition and prediction system based on the Random Forest model is proposed. This system utilizes electromagnetic radiation (EMR) and acoustic emission (AE) signal data, employing feature extraction and point biserial correlation analysis to screen out the most relevant feature parameters. A Random Forest binary classification model is constructed to identify interference signals. Subsequently, by introducing new features such as moving average slope and exponentially weighted moving average (EWMA), a time series analysis of precursor feature signals is conducted. A real-time warning model based on the Random Forest algorithm is developed, dynamically calculating the probability of precursor feature signal occurrence by integrating historical data and real-time data changes. This approach improves the accuracy and recall rate of signal recognition and prediction, providing reliable data support for mine safety management.
Robot terrain classification based on improved Hilbert-Huang transform and long short-term memory network
Authors: Guo Ziyu
Published: October 2024

Nowadays, with the rapid development of science and technology, the innovation and application of robot technology has become an important force to promote industrial development, which requires robots to have a high degree of autonomy and adaptability. Among them, terrain classification technology is one of the key technologies to achieve this goal. In order to improve the ground adaptability of robots in complex environments, this paper proposes a terrain classification algorithm based on improved Hilbert-Huang transform(HHT) combined with ensemble empirical mode decomposition(EEMD) and long short-term memory network(LSTM). Firstly, the signal data is processed by EEMD, and then the frequency domain features of the signal are extracted by Hilbert transform to expand the feature dimension. Finally, the features are learned and classified by the LSTM model, which effectively improves the classification accuracy. In this paper, we conducted sufficient experiments to compare the effects of EMD and EEMD and the effects of different neural network models, and verified the contribution of the Hilbert-Huang transform to improve the classification performance through ablation experiments, which proves the effectiveness and reliability of our proposed algorithm, and provided powerful technical support for the robot to adapt to the ground information in the complex environment.
The Impact of Corporate ESG Performance on Earnings Management
Authors: Wu Xinyun
Published: October 2024

This paper selects listed companies from the Shanghai and Shenzhen A-share markets between 2009 and 2020 as the sample to empirically analyze the impact of corporate performance in ESG (Environmental, Social, and Governance) on the level of their earnings management activities. The study finds that the better the ESG performance, the lower the company's tendency to engage in real earnings management, significantly reducing the level of real earnings management. In contrast, the improvement in ESG performance increases accrual-based earnings management. Further analysis reveals that for non-state-owned enterprises, the restraining effect of ESG performance is more pronounced. All three dimensionsenvironment, social, and governancecan significantly increase corporate accrual-based earnings management. Compared to environmental responsibility, social responsibility and corporate governance are more effective in significantly reducing real earnings management.
A Study on the Relationship Between Corporate ESG Performance and Overall Corporate Performance: An Analysis of the Mediating Effect of Information Transparency
Authors: Xie Yunshan , Chen Zhilang
Published: October 2024

This paper aims to explore the impact of ESG (Environmental, Social, and Governance) information transparency on corporate performance, with a particular focus on its mediating effect in corporate governance and the fulfillment of social responsibilities. Through an in-depth analysis, this study seeks to reveal how ESG information transparency enhances corporate governance and social responsibility, ultimately influencing financial performance and market value. A quantitative research approach is adopted, selecting several listed companies as samples and collecting their ESG reports and financial data. By constructing a model, the relationships between ESG information transparency, corporate governance, social responsibility fulfillment, and overall corporate performance are analyzed. Data sources include corporate annual reports, ESG reports, and relevant databases. Path analysis and mediation effect tests are employed to ensure the reliability and validity of the research results. This study not only examines the mediating effect of ESG information transparency on corporate performance but also delves into the moderating roles of corporate governance and social responsibility fulfillment. The findings provide essential theoretical support for companies formulating ESG strategies and offer substantial references for policymakers and investors.
Research on Game Players' Willingness to Purchase Based on the Perspective of Ambivalent Attitudes
Authors: Chen Yiyang
Published: October 2024

Consumer ambivalence not only reflects the emotional and cognitive responses formed after perceiving external marketing stimuli but also influences subsequent purchase intentions. Based on the TAM (Technology Acceptance Model) and S-O-R (Stimulus-Organism-Response) models, this study introduces ambivalent attitudes as a mediating variable to construct and test a theoretical model of external marketing stimuli, consumer perception, ambivalent attitudes, and purchase intentions. Using 716 valid responses from gaming communities, the measurement and structural models were evaluated using AMOS 26.0 and SPSS 26.0 software. The empirical results show that the clarity and total volume of external marketing information can significantly influence purchase intentions by affecting consumer perceptions. Ambivalent attitudes directly influence purchase intentions and serve as a mediating factor in the pathways where perceptions affect purchase intentions.
Leveraging Big Data and AI for Enhanced Business Decision-Making: Strategies, Challenges, and Future Directions
Authors: Tang Nyusifan
Published: October 2024

Big data and artificial intelligence (AI) are the buzzwords of the moment in business decision-making. In this paper, I will show how predictive analytics, real-time data processing and natural language processing (NLP) are key strategies that allow businesses to optimise their operations and customer interaction. Moreover, through this paper I will present some of the challenges involved in the adoption of AI, such as the ethical and legal questions about data privacy, as well as the real problem of integrating AI systems within legacy business models. Furthermore, future trends in AI will be presented, such as the advances in quantum computing and the rise of so-called autonomous AI systems, that will define the future of decision-making in logistics, finance and a variety of other sectors. Overall, by addressing both the strategic advantages and the pitfalls involved in the adoption of AI based on some real business cases, this paper will provide a complete picture of what AI and big data can bring to decision-making as a tool for business success. This topic is of paramount importance as these technologies have not only brought a new wave of innovation but are also increasing the importance of human oversight of AI systems.
Evaluate the Effectiveness of the Agricultural Machinery Purchase Subsidy Policy for Poverty Alleviation in Guizhou, China
Authors: Zhang Meng
Published: October 2024

Southwest China's weak economic development has been the focus of China's rural revitalization strategy; exploring the impact of implementing an agricultural machinery purchase subsidy policy can impetus the economic development of Southwest China. Since its introduction in 2004, the policy of subsidizing the purchase of agricultural machinery has been mainly used to support the purchase of advanced and applicable agricultural machinery. The implementation of this policy has promoted China's socioeconomic development and, until now, has been an indispensable supportive policy in the rural revitalization strategy. As the province with the most poverty-reducing people in the country, Guizhou's achievements cannot be attributed to the conscientious implementation of the central government's decisions and deployments. However, Guizhou's practice of subsidizing the purchase of agricultural machinery also requires improvement. The Smith Model is the theoretical framework for this research. This paper lists the problem Guizhou's agricultural machinery purchase subsidy policy needs to fix with stakeholder analysis. It then uses the Smith Model to look into the reasons for the "irrational agricultural machinery structure" gap in Guizhou's application of the agricultural machinery purchase subsidy policy and makes suggestions for how to make things better. This study's main contribution is to enrich existing literature by analyzing Guizhou's policy implication in addressing the problem of insufficient production of agricultural machinery and providing a direction for the future implementation of Guizhou's agricultural machinery purchase subsidy policy.
To What Extent Does Online Advertising Influence Consumer Purchases?
Authors: Wang Chenyan
Published: October 2024

This research is to evaluate the extent to which online advertisements influence consumer purchases. With the popularization of the Internet, online advertising has become increasingly rich and diverse. First of all, this research analyzed the history of advertising and how advertising works, explored all the different types of advertising. Then, based on the existing research content and practical situation, three representative types of influential advertisements were selected from various types of online advertising for research. These three representative types of advertisements are: paid search advertising, social media advertising, and video advertising. The study conducted an in-depth analysis of the operational models of three types of online advertising, their impact on consumers, and the similarities and differences among the three types of advertising. Based on comparative research, draw research conclusions. Online advertising can have a certain degree of impact on consumer behavior, and compared to social media advertising and video advertising, paid search advertising has a greater impact. Finally, based on the analysis of the impact of online advertising on consumer purchases, the role and economic benefits of online advertising in the entire purchasing process were further summarized. This will be more helpful for production enterprises, advertisers, and consumers to make better decisions and facilitate the efficient operation of the market economy.
Based on the Analysis of Existing Economic Policies, Compares the Response of Economic Policies to Population Ageing between the UK and Japan
Authors: Sun Wen
Published: October 2024

In the context of the changing age structure of the global population, many countries are experiencing the economic consequences of this problem, such as severe dependency ratios and a reduction of qualified workers, which will harm the country's potential economic growth capacity. In order to mitigate the negative effects on the economy, both Japan and the United Kingdom have developed economic policies to deal with population ageing. These policies all revolve around healthcare, pension and employment. These economic policies are similar in some respects, such as in employment, where the two countries try to raise the retirement age of the elderly from various aspects, but show different policy biases in further policy-making for different reasons, such as different cultural backgrounds. This paper analyzes these similarities and differences by reviewing past literature and policy cases, making preliminary conjectures and summaries on the causes of these characteristics through past literature, and analyzing the effectiveness of some of these policies. Finally, we conclude from the study that these policy differences are due to different cultural, and historical backgrounds and current economic situations between the two countries.
Социальные верования и гендерный эссенциализм как предикторы легитимизирующих гендерное неравенство установок
Authors: Бурлакова Алёна , Ананьева Ольга , Прусова Ирина
Published: October 2024

Несмотря на то, что Россия считается страной с очень высоким уровнем развития человеческого потенциала, гендерное неравенство и предубеждения по отношению к женщинам остаются устойчивыми явлениями. Исследования предубеждений зачастую построены на двухфакторной модели Дж. Даккитта, которая рассматривает ориентацию на социальное доминирование и правый авторитаризм в качестве медиаторов связей между социальными верованиями (вера в конкурентный мир и вера в опасный мир) и предубеждениями. Данная модель нашла эмпирическое подтверждение в разных культурных контекстах, однако в контексте гендерных отношений не включает в себя другие гендерно-специфичные верования, такие как эссенциализм. Настоящее исследование направлено на изучение вклада социальных верований и гендерного эссенциализма в выраженность предубеждений по отношению к женщинам на основе установок, легитимизирующих неравенство. В онлайн-исследовании приняли участие 746 жителей разных регионов России (48% женщин) в возрасте от 18 до 79 лет (M = 36,81, SD = 11,46). Участникам предлагалось заполнить методики для измерения веры в опасный и конкурентный миры, гендерного эссенциализма, правого авторитаризма, ориентации на социальное доминирование и амбивалентного сексизма. Моделирование структурными уравнениями методом частичных наименьших квадратов (PLS-SEM) продемонстрировало удовлетворительное соответствие моделей данным; результаты анализа медиации показали, что гендерный эссенциализм вносит вклад во враждебный сексизм как напрямую, так и опосредованно через ориентацию на социальное доминирование и правый авторитаризм, в доброжелательный сексизм — опосредованно через правый авторитаризм. Вера в конкурентный мир вносит вклад во враждебный сексизм как напрямую, так и опосредованно через ориентацию на социальное доминирование. Полученные результаты расширяют двухфакторную модель Даккитта и могут быть использованы для разработки стратегий борьбы с предубеждениями на основе пола.
Ответственность как предиктор выбора копинг-стратегий молодыми людьми
Authors: Кибальченко Ирина , Эксакусто Татьяна , Федченко Надежда
Published: October 2024

В работе проведен теоретический и эмпирический анализ проблемы выбора копинг-стратегий молодыми людьми с разной выраженностью ответственности, который показал, что ответственность представляет собой системное качество личности, позволяющее моделировать собственную жизнь и преодолевать трудности на пути к целям; ее выраженность и особенности могут выступать предикторами выбора копинг-стратегий. Цель исследования: определить, является ли ответственность предиктором выбора копинг-стратегий и какие именно ее характеристики обуславливают выбор тех или иных копингов. В исследовании принимали участие студенты вузов. Выборка формировалась в соответствии с возрастом и полом молодых людей. В целом определен дедуктивно-регрессионный дизайн исследования, включающий множественный регрессионный анализ для определения предикторной связи уровня и характеристик ответственности с выбором копинг-стратегий (метод «Stepwise»), тест Шеффе с целью контроля ошибок в отношении построенных моделей, а также сравнительный анализ результатов (U – Манна-Уитни). Выявлено, что респонденты группы с тенденцией к высокой ответственности имеют достоверные предпочтения в выборе копинг-стратегий «планирование решения проблемы» и «ассертивные действия». Молодые люди с тенденцией к низкой ответственности статистически значимо выбирают копинг-стратегии «бегство-избегание», «дистанцирование», «агрессивные действия» и «асоциальные действия». Выявлена тенденция к связи гармонических характеристик ответственности с выбором конструктивных копингов: специфические виды копингов, характерные для молодых людей с тенденцией к более высокой ответственности представлены более конструктивными и просоциальными стратегиями. И наоборот: снижение выраженности показателей ответственности обусловливает проявление менее конструктивных и асоциальных моделей преодолевающего поведения. Выявленная многомерность и неоднозначность связи отдельных характеристик ответственности с выбором копинг-стратегий открывает перспективы исследования вероятностных моделей взаимосвязей: устойчивых/неустойчивых, гармоничных/дисгармоничных.
Психологическая классификация русских пословиц и поговорок о практиках безопасности
Authors: Краснянская Татьяна , Тылец Валерий
Published: October 2024

Овладение практиками безопасности – актуальный навык в условиях, когда воспроизводятся различные угрозы благополучию общества и каждого отдельного человека. По устойчивости можно выделить социокультурные практики безопасности, представленные в соответствующих предметных паремиях: пословицах и поговорках. Цель исследования – дифференцировать русские пословицы и поговорки о практиках безопасности по их ориентации на ведущий способ познания русскими и русскоговорящими реципиентами. Предполагалось, что пословицы и поговорки о практиках безопасности, соответствующие ведущему способу познания реципиента, воспринимаются им более полезными в жизни, чем прочие. Методами исследования выступили ассоциативный эксперимент, экспертная оценка, тестирование и субъективное ранжирование. Выборку образовали 100 человек в возрасте 19–20 лет – русские и русскоговорящие студенты ряда столичных и региональных вузов России. По итогам исследования был составлен массив пословиц и поговорок о практиках безопасности, используемых с большей или меньшей интенсивностью современными русскими и русскоговорящими респондентами студенческого возраста. Пословицы и поговорки о практиках безопасности можно разделить на четыре группы по их ориентации на ведущий способ познания возможных реципиентов: мышление, ощущения, эмоции и интуицию. Существует ряд лексических особенностей каждой группы пословиц и поговорок, позволяющих осуществить соответствующую дифференциацию данных предметных паремий. Оценка полезности в жизни пословиц и поговорок о практиках безопасности дается реципиентами с учетом доминирующего способа познания. Наиболее высокая оценка данных предметных пословиц и поговорок, ориентированных на мышление, принадлежит реципиентам мыслительного способа познания; ориентированных на ощущения – реципиентам сенсорного способа познания; ориентированных на эмоции – реципиентам чувственного способа познания; ориентированных на интуицию – реципиентам интуитивного способа познания. Исследование дает возможность использовать соответствующие предметные паремии в образовательных и воспитательных практиках, направленных на повышение субъектной компетентности в области безопасности. Выявленная связь этих паремий с психическими особенностями реципиентов открывает новый пласт междисциплинарного потенциала психологии безопасности.
Связь доверия к себе и миру с межличностным доверием в Интернет-среде на основе визуальной и текстовой информации у групп с разными типами доверия
Authors: Копачевская Мария
Published: October 2024

Статья посвящена изучению изменения связи факторов межличностного доверия (внутренних и внешних) с величиной данного показателя при восприятии человека и его текстов в Интернет-среде. В статье описывается проверка гипотезы о том, что доверие к себе и миру связано с доверием, основанным на восприятии внешности незнакомого человека и текстов его авторства. 182 респондента оценивали незнакомых людей по степени доверия на основе их фотографий и текстов с помощью опроса «Качества и факторы доверия незнакомому человеку». Результаты исследования показывают, что внутренние факторы доверия сильнее связаны с доверием незнакомому человеку при восприятии только фотографии, чем при восприятии сочетания фотографии и текста автора. Полученные данные позволяют выдвинуть предположение о том, что оценка незнакомого человека на основании внешнего вида в значительной степени основывается на прошлом опыте и личностных особенностях оценивающего, в то время как оценка, основанная на восприятии внешнего вида и дополнительной информации (текста), более связана с полученными о воспринимаемом человеке знаниями.
Pengaruh Model Pembelajaran Contextual Teaching and Learning (CTL) Terhadap Hasil Belajar dalam Sub Materi Media Sosial di Kelas VII pada SMP Negeri 2 Darma
Authors: Fadhlurrohman Fikri , Haerudin Dodi Ahmad
Published: October 2024

The low learning outcomes of Information Engineering (ICT) students in grade VII of SMP Negeri 2 Darma are caused by several factors, including students who are less motivated to learn ICT and also the factor of teachers who still use conventional methods or lecture methods so that in the teaching and learning process students tend to be passive. This study aims to find out whether there is an influence of the Contextual Teaching and Learning (CTL) learning model on learning outcomes in social media sub-material in grade VII at SMP Negeri 2 Darma. The research approach used is a quantitative approach with an experimental research design type. The population in this study is 35 students with a sample of grade VII of SMP Negeri 2 Darma. The data collection technique uses a test. Data analysis using t-test. The results of the study showed that the pretest results had a mean of 46.42 and a posttest result of 68.71. Contextual Teaching and Learning (CTL) learning media has an influence on the learning outcomes of information technology (ICT) social media sub-materials. This is shown from the results of data analysis that the value of, t count = 10.911 > t table = 2.650, so that the hypothesis proposed in the study is accepted, so that there is an influence of the Contextual Teaching and Learning (CTL) learning model on learning outcomes in social media sub-material in grade VII at SMP Negeri 2 Darma
Penerapan Model Reciprocal Teaching untuk Meningkatkan Hasil Belajar Matematika Siswa Kelas V SD Negeri 016 Rambah Samo
Authors: Indriyani Ceci , Hasibuan Abdul Putra Ginda , Marta Eni , Elvina Elvina
Published: October 2024

This research is classroom action research (PTK) which aims to improve student learning outcomes through the application of the reciprocal teaching model in mathematics learning. Data collection techniques are carried out in the form of student activity observation sheets, teacher activity observation sheets and test questions. The results of this research show that in cycle I and cycle II there was an increase. The learning outcomes in cycle I, meeting I, had an average score obtained by students, namely 54.12, then in cycle I, meeting II, the average score obtained by students was 65.88. Then in cycle II, at meeting I, the average score obtained by students was 71.18, and at meeting II, the average score for students was 85.88. Besides increasing student learning outcomes, student observation sheets also increased. In cycle I, meeting I, student observations were 50%, then in cycle I, meeting II, it increased to 60%. In cycle II, meeting I, the student's ability still increased to 80%, and in cycle II, meeting II, it increased to 90%. Based on the results of the research that has been carried out, it can be concluded that the application of the reciprocal teaching model can improve student mathematics learning outcomes for class V students at SD Negeri 016 Rambah Samo
Mutu Fisik Sabun Padat Ekstrak Biji Kopi (Coffea Robusta)
Authors: Misgiati Misgiati , Ardianto Rahmat
Published: October 2024

Sabun adalah produk pembersih yang dihasilkan dari reaksi antara minyak dan lemak dengan basa kalium hidroksida atau natrium hidroksida. Berdasarkan konsistensinya sabun dibagi menjadi dua jenis, yaitu sabun cair dan sabun padat. Sabun padat lebih sering digunakan oleh masyarakat. Pemanfaatan bahan alam sebagai inovasi untuk sabun masih jarang dilakukan. Kandungan kopi mampu mencegah penuaan dini pada kulit,  berfungsi untuk menghaluskan kulit, dan menetralkan kulit yang teriritasi. Penelitian ini bertujuan untuk mengetahui mutu fisik dan pH sabun padat dengan campuran ekstrak kopi. Pembuatan ektrak kopi menggunakan metode maserasi dengan pelarut etanol 70%. Jenis penelitian ini yaitu deskriptif dengan tujuan untuk mengetahui mutu fisik dan pH dari sediaan sabun mandi padat dengan pemberian ekstrak kopi. Berdasarkan hasil penelitian yang dilakukan, dapat disimpulkan bahwa hasil evaluasi mutu fisik sediaan sabun padat ekstrak kopi memenuhi syarat uji mutu fisik, yaitu meliputi uji organoleptis, uji kadar air, uji stabilitas busa, dan uji pH
Teaching linguistics through language construction: A case study
Authors: Reagan Timothy
Published: October 2024

For many students, introductory courses in linguistics prove somewhat disappointing. They often enroll in such courses because of a love of language – what some have called the “magic of language” – and instead are faced with the (perceived) dull and dry scientific study of language. There is, as a result, a need to explore more effective ways of “teaching linguistics to non-linguists.” In this article, a case study of one pedagogical approach to accomplish this will be presented: the use of language construction as a means of introducing students to basic linguistic knowledge and understanding. We begin with an overview of the nature and history of interlinguistics (the study of planned languages), and then turn to recent examples of the creation of constructed languages (conlangs) in popular culture before discussing the use of language construction activities to introduce students to the study of linguistics.
Image destination engagement from a cultural perspective—A neuromarketing approach for a Spanish-German study
Authors: Mas José Manuel , Jaszus Kathrin , Gómez Andrés , Monleon Fernando García
Published: October 2024

The importance of the image of the tourist destination in the communication and marketing of a tourist destination is beyond doubt. For this reason, numerous studies address these issues. However, not so many do so from the perspective of the emotion the receiver feels, which is why this study deals with analyzing the emotion generated in the receiver through neuromarketing techniques and measuring the level of engagement felt. As a fundamental part of this study, we added the variable of cultural differences, both generically and specifically for gender and age. We are mainly guided by the theories of Life Cycle Theory and Generational Theory to analyze age differences. At the same time, gender differences are approached from the Gender Role Theory. The sample comprises hundred individuals with apparent cultural differences, one sample of German origin and residence and the other of Spanish origin and residence, 50/50. We approached the study from the point of view of the emotion felt by the receiver of the message based on ten neuromarketing techniques (EGG) and ten images used by a famous tourist destination known in both countries. The results suggest that not only are there differences in the emotion felt after viewing images of a tourist destination, but that these differences are also explained by cultural background, gender, and age.
Sistema de Saúde em Angola: contextualização, princípios e desafios
Authors: Caneca Aires Muecália Julião , Chaximbe Orlando Clementino Manunga , Sarreta Fernanda de Oliveira
Published: October 2024

The article aims to present the National Health System in Angola, contextualizing the periods that marked the country's history and health policy, and to reflect the assured principles and contemporary challenges. Health is guaranteed as a universal and integral right, but it faces structural problems typical of the capitalism system for its guarantee and access. The theme is current and relevant and requires a debate to guarantee health as a public good, which motivated the carrying out of qualitative research, based on a bibliographic and documental review, in a dialectical and critical perspective for the analysis of this complex and contradictory reality. The results and discussions show that the challenges are significant and determined by the inequalities of living and working conditions as a whole. There is a great national effort to improve the Health System, with possibilities built from the contradictions of this reality, in movement and transformation.
Inclusão escolar de aluno com NEE e o desempenho profissional dos professores: um estudo no Colégio BG-1080 Vale de Bênção-Benguela, Angola
Authors: Muamununga Aleixo Castigo
Published: October 2024

In Angola, concerned strategies to be developed in order to explore the inclusion of people with special needs continue to dominate the debate in the academic world. In this case, this article, is aimed to analyst school integration of Student with Special Need (SEN - abbreviation in Portuguese)  and the application of professors professional performance: accordingly to a study conducted at public high school, BG-1080 Vale de Bênção IESA-Benguela, Angola. Methodologically,  the qualitative paradigm was adopted, based on a literature review, and data were collected through semi-structured interviews conducted with 20 teachers. Thus, the research claims that teachers are unaware of the importance of inclusion of students with special needs because they have proved that they have not participated in any related training. On the other hand, research suggests that integration of students with special needs in the normal education system may negatively influence the performance of the teachers.
YENİ BÜYÜKŞEHİR YASASININ KIRSALDA ETKİLERİ TARSUS, SİLİFKE, GÜLNAR VE MUT ÖRNEĞİ
Authors: Kurt Hacı , Karayünlü Gökhan
Published: October 2024

Bu makalenin amacı, 6360 sayılı kanunun uygulanmaya başladığı 2014 yılından sonra ki dönem de, Mersin Büyükşehir Belediyesinin Tarsus, Silifke, Gülnar ve Mut kırsal mahallelerin de yapmış olduğu çalışmaların, 2014 yılından önceki süreçle bir kıyaslamasını ve elde edilen veriler ışığında bir değerlendirmesini yapabilmektir. 6360 sayılı kanun, 16 olan büyükşehir belediye sayısını 30’a yükseltmiş, hizmet sınırını il mülki sınırı haline getirmiş, köy, belde ve il özel idarelerini kapatarak tüzel kişiliklerine son vermiştir. 6360 sayılı yasa ile Mersin de 509 köy ve 41 belde kapatılarak mahalleye dönüştürülmüştür. Çalışmada nicel araştırma yöntemi kullanılmış, 5’li likert ölçeğinde hazırlanan anket formu ile Mersin’in belirli özelliklerinden dolayı seçilen Tarsus, Silifke, Gülnar ve Mut ilçelerinde, 35 mahalle ve 336 kişiyle yüz yüze anket yapılmış, anket verileri SPSS yöntemiyle değerlendirilmiş, 6360 Sayılı Kanun’un yürürlüğe girdiği 2014 yılından sonraki dönemde büyükşehir belediyesi ve ilçe belediyelerinin kırsal alana yönelik hizmet sunumuyla, kanunun uygulanmasından önceki dönem arasındaki hizmet sunumları farklarının değerlendirilmesi açısından alana da katkı sunacağı düşünülmektedir.