bluuebunny/crossref_metadata_2025 huggingface dataset:
Factores psicosociales como riesgo en el desempeño de los trabajadores del sector hotelero en los municipios de Colima y Comala
Authors: Sánchez Figueroa Cruz Osbaldo , Madrigal Valencia Abigail Yahayra , Lino Chávez Norma Angélica , José Antonio Ramos Munguia
Published: December 2024

La investigación su objetivo es determinar la relación existen entre los factores de riesgo con el desempeño de los equipos de trabajo (empleados) que laboran en hoteles de los municipios de Colima y Comala, el instrumento que se utilizo es Cuestionario de Evaluación de Riesgos Psicosociales en el Trabajo de Psicosocial de Copenhagen (CoPsoQ) ISTAS-21 (2014) solo integrando 5 riesgos desempeño, ritmo de trabajo, carga de trabajo, duración de la jornada y condiciones laborales, y datos demográficos a utilizar, el cual se aplico a un total de 36 empleados con un  muestreo aleatorio simple, dicha investigación es de corte cuantitativo-descriptivo-correlacional, de manera que el objetivo era determinar si existe una relación entre los riesgos psicosociales y el desempeño de los trabajadores en el sector hotelero. El planteamiento de la hipótesis es “el desempeño se dificulta con relación los factores de riesgos como las condiciones laborales, la duración de la jornada laboral, el ritmo de trabajo y carga laboral. De los hallazgos presentados se pudo deducir que los riesgos afectan de manera negativa el desempeño en su lugar de trabajo, relacionados con la carga, ritmo, jornada laboral y condiciones de trabajo.
Tradisi Arak Manten Kucing Di Desa Sumberejo Kabupaten Malang
Authors: Ardhianto Frandhica Wahyu , Widodo Wahono , Istiq'faroh Nurul
Published: December 2024

Through ethopedagogy, education is designed to value and integrate local knowledge, traditions, and ways of learning that are unique to the community. This research aims to explore the potential of Dermo Temple as a vehicle for ethnoscience learning at the elementary school level. Through a qualitative approach with a development research design, this study analyzes the potential of Dermo Temple in integrating science knowledge with local cultural values. Data were collected through interviews, observations, and questionnaires. The results showed that Dermo Temple has enormous potential as a learning resource rich in historical, cultural, and scientific values. The impact of this research is that there are two kalamakala statues and winged human statues found and are currently in the Trowulan museum. Candi Dermo-based learning can increase students' learning motivation, develop critical thinking skills, creativity, and problem-solving abilities, and foster a sense of love for the nation's culture and heritage. In addition, this research also highlights the importance of cooperation between schools, museums, and communities in developing sustainable learning programs. The conclusion of this research is that Dermo Temple is not only a historical site, but also a learning center that inspires the younger generation to appreciate and preserve the nation's cultural heritage.
Influence of Clove Size and Nitrogen Rates on Garlic (Allium sativum L.) Growth and Yield at Debre Berhan, Central Highland of Ethiopia
Authors:   Department of Plant Science, College of Agriculture and Natural Resource Sciences, Debre Berhan University, P.O.Box: 445, Debre Berhan, Ethiopia, Tena Netsanet
Published: December 2024

Garlic is a significant cash crop in many regions of Ethiopia, but its yield is limited by several
factors, including inappropriate clove size and inadequate nitrogen fertilizer. To assess the
impact of clove size and nitrogen rates on the growth and yield of garlic (Allium sativum L.),
a field experiment was carried out at the demonstration and research site of Debre Berhan
University‟s College of Agriculture and Natural Resource Sciences during the 2020/21 main
cropping season. The experiment used an improved variety of garlic called „Tseday‟ as the
test crop. The treatments included three different clove sizes [small (1-1.49g), medium (1.5-
1.99g), and large (2.0-2.5g)] and four rates of nitrogen (0, 52.5, 105, and 157.5 kg ha-1). The
experiment was laid out in a randomized complete block design in a factorial arrangement
and replicated three times. The results showed that clove size had a significant effect on
growth and yield parameters of garlic, while nitrogen rates significantly affected all growth
parameters of garlic. The interaction effect of clove size and nitrogen rates had a significant
impact on yield parameters of garlic. Planting of large sized cloves without the application of
nitrogen fertilizer caused the maximum total bulb yield (19.19t/ha), which indicated a rise of
19.34% and 82.41%, respectively, compared to medium-sized cloves with 105kg N/ha
application and small-sized cloves without nitrogen application. In addition, this treatment is
economically beneficial as compared to planting of medium sized and small sized cloves with
nitrogen application. Therefore, it can be concluded that planting large sized cloves without
nitrogen application is recommended to enhance the total bulb yield of garlic.
Keywords: Clove size, garlic, growth, nitrogen, and yield
Near Real Time Crop Health Status Monitoring and Mapping using Sentinel Satellite Image in Menjar Shenkora District, Ethiopia
Authors:   Department of Geography and Environmental Studies, Debre Berhan University, Debre Berhan, Ethiopia, Dejen Awlachew , Behailu Ayele , Lemma Estifanos
Published: December 2024

Agricultural monitoring systems must provide timely and standardized information on crop production, status, and yield, from sub-regional to national scales. Accurate monitoring and mapping of vegetation condition and health are vital for managing crops, assessing damage, and predicting yields. Crop health monitoring is one of the important items for tracking the general health status of any crop. In this regard, remote sensing and GIS play a crucial role for monitoring crop health, providing current information that traditional methods like field surveys and sampling questionnaires struggle to obtain. Effective cropland mapping techniques are essential for regular crop monitoring. This type of monitoring demands frequents continuous data with high time and space resolution. Near real-time crop monitoring uses technologies like the Sentinel-2 satellite mission, offering a consistent 5-day revisit cycle and freely accessible data. This opens new doors for delivering timely updates and monitoring parcel-based crop health and conditions in real-time. Therefore, this study used satellite images, Global Positioning System (GPS) collected data, and parcel-based socioeconomic data. GPS and socioeconomic data were employed to validate the satellite-based near real-time crop monitoring results. Vegetation Condition Index (VCI) and the Normalized Difference Vegetation Index (NDVI) were used to evaluate crop health at different stages of the growing season and to generate time series data for crop phenology respectively. NDVI time series data was used to generate crop phenology information for four main crops: Teff, wheat, onion, and sorghum. The crop type maps for these crops at the study sites were validated with an overall accuracy of 79.26% and a Kappa value of 0.737. Additionally, the results from the current research and the field-collected data were consistent in providing information about the onset, greening, maturity, and senescence dates of each crop. These findings highlight the effectiveness of the satellite-based system for real-time agricultural crop monitoring using Sentinel-2 observations across various sites and time frames. Moreover, it helps to fill the gaps of traditional crop monitoring methods with those based on satellite technology. This system is particularly valuable for early warning purpose in areas like the current study site, where conventional crop monitoring methods and inputs are limited.
Analisis Konsentrasi Industri di Indonesia (Studi Kasus Industri Semen di Indonesia)
Authors: Annisa Dwi Chusniah  , Choerunisa Marlin Suryani  , Difa Fachnisa  , Nur Laeli Utami  , Naerul Edwin Kiky Aprianto  , Rifa Aulia Nur Sabani
Published: December 2024

. Industrial concentration is an indicator in determining the level of market dominance by companies in the economic sector. This study aims to analyze the concentration level of the cement industry in Indonesia, understand the market structure, company behavior, and industrial performance. The cement industry was chosen because of its significant role in supporting national infrastructure development. The research uses a qualitative method with a literature study approach, utilizing secondary data from various literature, including journals and books.  The analysis was carried out by measuring market concentration using the concentration ratio (CR4) and the Herfindahl-Hirschman index (HHI), as well as the Structure-Conduct-Performance (SCP) approach. The results of the study show that the cement industry in Indonesia has a high level of concentration, with PT. Semen Indonesia as a market leader. The market structure is classified as oligopoly, characterized by the dominance of several large companies such as PT. Semen Indonesia. Market behavior includes price competition and non-price strategies, as well as distributions focused on innovation and market share expansion. The market performance of this industry is dominated by two large companies, reflecting significant oligopoly characteristics.
5 PENDAPAT AHLI TENTANG E-COMMERCE
Authors: Muhammad Farhan  , Muhammad Irwan Padli Nasution
Published: December 2024

This article presents an analysis of five expert opinions regarding e-commerce, which is an important phenomenon in the current development of the digital economy. By gathering perspectives from experts in the fields of economics, information technology, and consumer behavior, this research aims to provide a comprehensive picture of the impacts and challenges facing e-commerce. Expert opinions cover aspects such as technological innovation, changes in consumer behavior, transaction security, as well as social and economic impacts. The research results show that although e-commerce offers great opportunities for business growth and economic inclusion, challenges such as data security and regulation still need to be addressed. It is hoped that these findings can become a reference for policy makers and industry players in developing better strategies in the digital era.
PENGEMBANGAN SISTEM INFORMASI BERBASIS KECERDASAN BUATAN: SOLUSI UNTUK ANALIS PREDIKTIF DALAM MANAJEMEN SUMBER DAYA MANUSIA
Authors: Citra Annisa Ginting  , Muhammad Irwan Padli Nasution
Published: December 2024

Thedevelopment of artificial intelligence has significantly impacted the management of information systems in human resource management. This study aims to explore and analyze the implementation of artificial intelligence-based information systems that can optimize predictive analytics in HR management. The methodology employed is a qualitative approach through literature review, encompassing analysis of relevant journals, books, and articles. The findings indicate that the integration of artificial intelligence in HR management information systems can enhance the accuracy of predictions related to various aspects such as employee performance, turnover rates, and competency development needs. The analyzed system enables faster and more accurate decision-making compared to traditional methods. This research provides practical contributions for organizations in modernizing their HR management systems and opens opportunities for further development in the integration of AI technology with management information systems.
Kedisiplinan Diri Dalam Membentuk Pendidikan Karakter Remaja Perspektif Islam
Authors: Harmathilda Harmathilda , Ahmad Fauzan  , Octaviani Afifah  , Siti Khofifah  , Iredho Fani Reza
Published: December 2024

Penelitian ini bertujuan untuk menganalisis peran kedisiplinan diri dalam membentuk pendidikan karakter remaja dari perspektif Islam. Penelitian ini menggunakan pendekatan kualitatif naratif, dengan metode purposeful sampling dalam menentukan subjek yang melibatkan tiga siswa. Data dikumpulkan melalui wawancara, observasi, dan dokumentasi, kemudian dianalisis menggunakan teknik Miles dan Huberman. Hasil Penelitian di MA Sa’id Yusuf menunjukkan bahwa kedisiplinan diri siswa berperan penting dalam pembentukan karakter dan ketaatan terhadap aturan sekolah. Sebagian siswa telah menerapkan disiplin diri, namun masih terdapat perilaku tidak disiplin seperti terlambat, tidur di kelas, dan tidak menyelesaikan tugas. Guru dan keluarga memegang peran strategis dalam menanamkan kedisiplinan melalui teguran, pembinaan, dan kerja sama. Sekolah diharapkan menetapkan aturan yang jelas, sanksi tegas, dan pembinaan berkelanjutan. Pendidikan karakter berbasis Islam diterapkan secara sistematis melalui pendekatan pengetahuan, pelaksanaan, dan pembiasaan untuk menanamkan nilai-nilai kedisiplinan, tanggung jawab, kejujuran, dan religiusitas. Dukungan guru sebagai teladan dan lingkungan kondusif menjadi kunci keberhasilan program ini.
Analyzing The Strategies on The Success of Hermes Sales
Authors: Shen Jiayi
Published: December 2024

The purpose of the study was to explore why Hermes has the highest sales in the Asia-Pacific region. Using Hermès's sales in Asia Pacific in 2022 and 2023 as a case study, the next part of the analysis will conduct a literature review to delve into the brand's history in the region. An examination of the factors contributing to its success will follow. Finally, the analysis will conclude with recommendations for the current state of the brand and its operations in the Asia Pacific region. Three primary factors contribute to Hermes' success. Firstly, since China is the main market in the Asia-Pacific region, Hermès could focus more on the sense of propriety, such as providing surprises to its Very Important Person and Very Important Client customers at Chinese festivals. Secondly, Hermes' localization strategy prioritizes cultural integration to cater to local consumers' preferences. It also involves organizing exhibitions to promote the brand's philosophy and culture. To further expand the market, Hermes could invite celebrities who align with the brand's values to endorse its products. Lastly, the limited availability of Hermes bags and the distinctive distribution strategy uphold the brand's high-end luxury reputation. In order to expand its market reach, Hermes can become more varied in its designs. This article can assist Hermes in expanding the number of consumers in the Asia-Pacific region from a variety of angles.
Spatio-temporal Patterns Evolution of Coupling Coordination of Ecosystem Services and New Urbanization in the Beijing-Tianjin-Hebei Region
Authors: Zhang Yujing
Published: December 2024

Clarifying the coupling coordination relationship between ecosystem services and new urbanization is of great significance for promoting high-quality and sustainable development in the region. In this study, 197 county administrative units in the Beijing-Tianjin-Hebei region were selected as the study area, and the ecosystem service value index and new urbanization level from 2005 to 2020 were calculated respectively. The coupling coordination degree model was used to analyze the spatial-temporal correlation pattern evolution of the coupling coordination degree between the two. Results show that: ① The ecosystem service value index in the Beijing-Tianjin-Hebei region first decreased and then increased, showing an overall upward trend, manifested as a spatial pattern of "high in the north and low in the south, high in the west and low in the east", with different spatial distribution patterns of sub ecosystem services; ② The overall level of new urbanization is showing a continuous upward trend, manifested by a spatial pattern from "high in the north and low in the south" to "high in the north and south, low in the middle". ③ The coupling coordination degree shows a steady upward trend, but overall it is in a stage of mild imbalance, manifested as a spatial pattern of "high in the north and low in the south".
Future of Apple: Business and Financial Analysis
Authors: Meng Xiang
Published: December 2024

The technology industry has profoundly impacted the global economy by driving economic growth, creating employment opportunities, and promoting globalization. This article provides a strategic and financial analysis of Apple Inc., focusing on its market position, competitive advantage, and financial condition. Through a detailed SWOT analysis, this study emphasizes Apple’s strengths, including a strong brand image and continuous innovation, while pointing out its weaknesses, such as excessively high product pricing. The analysis identified growth opportunities in emerging markets and discussed the threats of intense competition. In terms of finance, this article studied key indicators: profitability ratio (net profit margin and operating profit margin), liquidity ratio (current ratio and quick ratio), and solvency ratio (debt to equity ratio and interest coverage ratio). The research results indicate that despite facing challenges in liquidity and market competition, Apple has maintained strong profitability and financial stability. In order to maintain Apple’s leading position in the technology industry, continuous innovation and market expansion are necessary.
Methods of Reducing Fat Content in Ice Cream and their Influences on Flavor of Ice Cream
Authors: Yang Yueyu
Published: December 2024

The increasing awareness of the health's importance leads to the increasing demand for healthy food. To meet the demand of the market, ice cream industries need to find applicable ways to make their ice cream healthier. Lowering the fat and sugar contents for ice cream are two main areas researchers can work on to achieve it. Researchers have already done great jobs in these aspects. Some sugar substitutes can even be used in daily cooking. However, the methods of fat reduction are not as known as the sugar ones. So this report will focus on the several methods that factories can use to reduce the fat content in the ice cream. The way that these methods reduce the fat content and what difference in flavor these methods will bring to the ice cream will be mainly discussed in this report. Due to the importance of the flavor of fat for ice cream flavor, this report also analyzes how these methods make a difference in the flavor of ice cream. It shows that all of these methods will not bring negative effects of the flavor of the ice cream under certain conditions. This report provides examples for further research of fat reduction methods for ice cream. The methods mentioned here more or less influence the flavor of the ice cream, and these methods are too general. Further research is needed in how to reduce the influence of flavor or finding a better way to achieve the fat reduction for a certain taste of ice cream.
How Digital Marketing Empowers the Operation and Development of Physical Stores
Authors: Yu Zhongyi
Published: December 2024

This study focuses on the strategy implementation and challenges faced by physical retailers during their digital transformation. By analyzing the digital marketing strategies of well-known companies such as Starbucks, Aroma Home, and Uniqlo, the research provides reference models for other physical retail enterprises undergoing transformation. Utilizing a case study approach, it delves into the specific applications of digital marketing tools and technologies. The results indicate that appropriate use of digital marketing strategies can significantly enhance the market adaptability of physical retailers during their digital transformation, thus boosting their market competitiveness. This research contributes not only to the theoretical study of the retail industry but also offers practical guidelines for physical retail enterprises, facilitating innovation and progress within the retail sector. Consequently, it improves the shopping experience for consumers. In conclusion, physical retailers should refer to the digital marketing strategies of successful enterprises to better adapt to the development trends of the digital era.
Research on Cigarette Market Capacity Forecasting Based on Data Mining Methods
Authors: Wu Xudong
Published: December 2024

With the tobacco industry gradually stepping into the modern cigarette marketing mode of data and informationization, cigarette precision marketing will become the industry's new way of refined marketing management. Among them, precise placement is one of the important contents of cigarette precision marketing. Precision placement is based on the segmentation, quantification, and combination of brand, customer, market, and time, aiming at precisely supplying the brand to the corresponding market segments, and realizing the goal of “finding the market for the brand, finding the brand for the market; finding the brand for the customer, finding the customer for the brand”. Through the segmentation and quantification of the market and customers, this study this paper can more accurately understand the market demand and customer characteristics, to formulate more targeted marketing strategies. Accurate forecasting of cigarette market capacity is of great significance to enterprises and regulators, and the integration of multiple data processing techniques and forecasting models can help improve the accuracy and applicability of predicting. Specifically, this study aims to construct an accurate customer placement model based on multiple linear regression. After data analysis and model training, the prediction results of the model are validated and evaluated. The results show that the relative error between the model-predicted placement and the actual placement is 1.95%, and the model has high prediction accuracy and stability, which provides valuable reference information for the work of precise cigarette customer placement.
The Purpose of Researching Amyotrophic Lateral Sclerosis
Authors: Hou Rui
Published: December 2024

The neurological system is affected by a disease called amyotrophic lateral sclerosis that affects nerve cells in the brain and spinal cord. This paper examines several facets of the disease's presentation characteristics, alterations in the illness, and contributing variables and therapeutic approaches. Speech slurring, difficulty swallowing, and arm or leg twitching and paralysis are common initial symptoms of amyotrophic lateral sclerosis. ALS gradually weakens the capacity to control the muscles involved in breathing, eating, speaking, and moving. The brain's capacity to start and regulate voluntary motions is lost. The muscles eventually become non-functional, twitch (a condition known as fasciculations), and atrophy (the loss of muscle mass). This sickness will be caused by a multitude of elements, such as age, gender, and certain genetic information. Additionally, topics like the signs and symptoms of ALS and the possible "treatments" for the illness are covered. There is essentially no chance of a cure for this deadly illness. The symptoms worsen with time because the condition is progressive. That does not, however, imply that individuals should give up looking for a remedy.
An empirical study on the effect of digital Finance on scientific and technological innovation of enterprises
Authors: Zhang Xi
Published: December 2024

Using the data of A-share listed companies in Henan Province from 2016 to 2020 and the digital inclusive financial index of Peking University, this paper empirically tests the impact of the development of digital finance in Henan Province on the scientific and technological innovation ability of enterprises. The study found that the development of digital finance helps to improve the scientific and technological innovation ability of listed enterprises in Henan Province. At the same time, financing constraints, as an intermediary variable, mask the impact of digital Finance on scientific and technological innovation of enterprises. Digital finance can more significantly affect the scientific and technological innovation ability of listed enterprises with greater financing constraints.The purpose of this study is to explore how word finance indirectly promotes the improvement of scientific and technological innovation ability of enterprises by alleviating financing constraints and other channels, and to clarify the intermediary role of financing constraints in it. At the same time, this study focuses on this specific region of Henan Province, combines its economic development characteristics and the development status of digital finance, and fills the gap in the research on the impact of digital Finance on scientific and technological innovation at the regional level. By refining the analysis to the provincial level, we can more accurately reveal the regional effect of digital finance.
Extraction of Bioactive Macromolecules Using Supercritical Carbon Dioxide Technology
Authors: Dong Zhijun , Xia Weitian
Published: December 2024

The complex structure of biological macromolecules makes it play an important role in various fields, and its demand is increasing day by day, so its extraction technology has also become a hot research object. For example, essential oils can be able to extract from different parts of plants. Because they are rich in a variety of special chemical groups, they endow them with unique physical and chemical properties, making them widely used in various fields. Conventional extraction methods, such as steam distillation, cold pressing and solvent extraction, all have certain limitations and disadvantages for extracting essential oils. And with the intensification of the greenhouse effect, how to use carbon dioxide (CO2) has become a hot and urgent topic. The supercritical CO2 extraction technology is to turn CO2 into treasure and use it rationally. The use of supercritical CO2 extraction has higher efficiency, lower energy consumption and other outstanding advantages. This research focuses on the analysis of the extraction rate of biologically active macromolecules by supercritical CO2 extraction technology, including essential oils and Angelica. The effects of different experimental parameters on the extraction results were explored, the reasons were analyzed, and appropriate extraction conditions were obtained to optimize the extraction rate.
Does Digital Transformation Enhance Corporate ESG Performance? Evidence from China
Authors: Chen Siru
Published: December 2024

Digital transformation has endowed enterprises with new growth momentum, but can it further improve their Environmental (E), Social (S), and Governance (G) performance? Based on data from Chinese A-share listed companies from 2011 to 2021, this paper empirically examines the impact of digital transformation on corporate ESG performance and its underlying mechanisms. The study finds that digital transformation significantly enhances corporate ESG performance. Mechanism analysis reveals that the increase in digitalization levels not only strengthens enterprises’ capabilities for green technological innovation but also reduces internal information asymmetry, both of which contribute to the improvement of corporate ESG practices. Moreover, the paper finds that the positive impact of digital transformation on ESG performance diminishes over time. Therefore, to sustain and enhance ESG performance, companies should consider continuous investment in digital technologies. This study enriches and extends research on the applications of digital transformation, providing valuable insights for driving corporate digital transformation and improving ESG performance.
Analyzing The Impact of Marketing Strategy of Dior on Brand Equity
Authors: Li Chenxi
Published: December 2024

This article, based on Dior's media and marketing performance during the Paris Olympic Games, describes its marketing techniques in several scenarios. It investigates and explains techniques for improving Dior's long-term brand image and value, allowing it to preserve its position as a fashion industry leader using brand cognition and circle marketing theories. This research sought to analyze the reasons for Dior's brief increase in brand image at the conclusion of the Olympic Games and proposed three viable solutions. First, Dior worked with a sports image ambassador to boost the brand's image and awareness. Dior should continue to work with well-known figures to boost the brand's reputation, reinforce its own brand development, and continually nurture a more distinctive and original brand image. Second, Dior should increase its brand value through targeted content marketing and circle marketing techniques. Next, Dior should prioritize diversity and creativity in content marketing, pay close attention to accurate positioning in circular marketing, and establish differentiated marketing tactics to sustain its leadership and consistently increase brand value. Finally, Dior should highlight its stylish performance at the opening and closing ceremonies. To build long-term fashion leadership, Dior should combine luxury branding with art and design. This study analyzes Dior's marketing strategy in the context of the Olympics and offers recommendations for future growth.
Fukushima Wastewater Release and its Profound Impact on the Fishing Industry
Authors: Liu Daniel
Published: December 2024

This research delves into the significant effects of releasing Fukushima wastewater in August 2023 on the fishing industry, using linear and multivariate regression models for a thorough analysis computed by SPSS. Post-Fukushima, the introduction of radioactive wastewater into the marine environment has raised alarm, particularly regarding the repercussions for marine biodiversity and the crucial fishing sector in the Northern Pacific. Analyzing data from the North Pacific Anadromous Fish Commission and Japan's fishery exports, with the aid of a Tsinghua University simulation, this study evaluates the impact of radioactive discharge on marine ecosystems and fishing economies. Findings indicate a clear negative impact on fisheries, affecting not just Japan but also other Northern Pacific regions. Statistical models confirm substantial environmental and economic detriments to the fishing sector stemming from contamination. This work not only highlights the immediate fallout from the Fukushima incident but also provides foresight into enduring effects for Japan and other involved countries. Results accentuate the urgent need for robust disaster management and strategies to maintain ecological and industry health, vital for sustaining community economies).
How Does The Change in Ratio of Vascular Plants to Biocrusts After Revegetation on Desert Soil Affect The Soil Hydrology?
Authors: Wang Xinyan , Ni Yuanyue
Published: December 2024

Land desertification is one of the most serious challenges to the ecological environment in the world today, threatening the survival and development of mankind. China is one of the countries in the world with the most serious desertification problem, which causes land degradation, soil quality decline, reduced vegetation cover, sand and dust, and other catastrophic weather problems. Greening and afforestation is an effective measure to improve the local ecological environment of desertification, and different areas need to adopt different afforestation techniques, taking into account local climatic conditions and geological features. This study aims to rank the three basic types of sand-binding vegetation in terms of suitability to be cultivated in desert soil by evaluating their ability to absorb infiltrated water and find a suitable shrub/herb planting ratio to achieve sustainable development in the sand-controlled area.
The Impact of The "Dual Carbon" Target on China's Coal Industry Stock Prices--Analysis Based on The Double Difference Method
Authors: Yi Ran , Zhang Kaili , Feng Xinru
Published: December 2024

The proposal of "dual-carbon" target has far-reaching impacts on the coal industry and its stock market. This paper takes the data of China's A-share coal listed companies in Shanghai and Shenzhen from 2018 to 2023 as samples, takes the proposal of "dual-carbon" target as an exogenous event, and uses double-difference model to conduct regression analysis to study the impact of "dual-carbon" target on the stock price of China's coal industry. The results show that the introduction of the "dual carbon" target has a significant negative impact on the stock price of China's coal industry, and the results are still significant after the parallel trend test, the placebo test, and the test of excluding the year of policy promulgation. Based on this, recommendations are made for the government, regulators, coal industry enterprises and investors to jointly promote the development of the "dual-carbon" policy and the transformation and upgrading of the coal industry.
A Unified Research on Advanced Biodegradable Copolymers Based on Their Biodegradable Properties
Authors: Dang Wenyu
Published: December 2024

Recently, biodegradable materials can effectively reduce the environmental hazards. However, they still have limitations in terms of degradation rate and stability. This paper systematically reviews the progress of various biodegradable materials, such as polylactic acid, polyhydroxy-fatty acid ester, polybutylene succinate, and carbon dioxide copolymer. This study found that the degradation rate of polylactic acid can be enhanced through composite methods involving biomaterials. Polyhydroxyl fatty acid esters were synthesized using copolymer preparation, solution pouring, and hot pressing techniques in order to improve their degradation rate. Furthermore, the degradation rate of polybutanediol succinate was improved through composites with biomaterials as well as organic and inorganic materials. Lastly, the degradation rate of carbon dioxide copolymers can be enhanced by utilizing copolymers formed from carbon dioxide monomers along with other polymers or monomers in composite materials. Polylactic acid prepared by the composite method of biological materials can improve the utilization rate of biological resources. The mass preparation of polyhydroxy-fatty acid esters in industry can be enhanced by solution pouring and hot pressing. The composite of polybutanediol succinate and biomaterials improved the mechanical properties. The preparation of carbon dioxide copolymers can improve the utilization of carbon dioxide and reduce greenhouse gases. Most importantly, this research can effectively enhance the degradation performance of biodegradable materials then reducing their impact on the environment.
Application and Challenge of Multi-Source Spatial Data Fusion in Archaeology
Authors: Zhang Xinyao
Published: December 2024

The paper explores the application of multi-source spatial data fusion in archaeology and analyzes its future challenges. It shows that multi-source spatial data fusion can help archaeologists discover, analyze and protect archaeological sites and their surroundings more accurately. However, the heterogeneity of data, the complexity of processing and analyzing, and the challenge of interdisciplinary cooperation are still notable issues. The aim of this paper is to investigate the application and role of multi-source spatial data fusion, to explore the challenges it faces, and to propose methods to address these challenges.
Using Case Study to Analyze the Bilingual Brand Strategy of Barcelona Football Club
Authors: Nie Ning
Published: December 2024

Barcelona Football Club is facing the challenge of enhancing its brand influence as globalization deepens. To meet the cultural identity of local fans and the information needs of global fans, Barcelona Football Club has developed a bilingual brand strategy based on Spanish and Catalan. Therefore, the purpose of this study is to explore how Barcelona Football Club uses different brand strategies in a bilingual environment to enhance brand influence and fan loyalty. In the Case Description section, this paper first describes the background, process, and results of Barcelona Football Club's bilingual brand strategy formation. Then, it analyzes how the strategy specifically enhances brand influence and loyalty from three different perspectives. Finally, corresponding suggestions are provided from these three perspectives. Research has found that the dissemination of bilingual content is one of the factors that enhance Barcelona Football Club's brand influence. In response to this, it is recommended to better adapt to digital transformation and activate digital media. The implementation of the bilingual marketing strategy has also established a closer connection between Barcelona Football Club and fans. In response to this, Barcelona Football Club should use data-driven insights and achieve personalization. Bilingual cultural adaptation can enhance fan engagement by enriching fan experiences and strengthening cultural identity. Barcelona should strengthen cooperative relationships to increase fan loyalty. This paper holds significance as it offers suggestions for brands to navigate the complex relationship between globalization and localization, while also proposing innovative ideas to enhance their brand influence through language.
A GIS-Based Review of Ancient Chinese Port Cities and the Silk Road: Applications and Challenges of Historical Map Digitization
Authors: Zheng Kaiwen
Published: December 2024

This essay explores the application of Geographic Information Systems (GIS) in the study of ancient Chinese port cities along the Silk Road. It highlights the significance of these cities as strategic nodes facilitating trade and cultural exchange. The digitization of historical maps using GIS technologies allows for detailed spatial analysis, modeling environmental changes, and understanding the urban evolution of these port cities. Challenges such as map accuracy, preservation issues, and cross-temporal data integration are discussed. The study emphasizes the potential of GIS in historical research despite these challenges.
The Impact of Relationship Quality: A Literature Review
Authors: Zhang Jiameng
Published: December 2024

Relationship quality is an important concept in the field of marketing, and it plays an important role in service marketing. This article systematically reviews the literature on relationship quality, exploring the dimensions of relationship quality and the dual impact it brings. A detailed introduction to the two different effects of relationship quality, namely "blind love" and " hate arises from love ", need to make judgments based on specific situations. It is hoped that this study can provide more references for future scholars to study relationship quality.
A Study on Tropical Cyclone Genesis Characteristics in the Northwest Pacific Based on Multidimensional Analysis Using EWM and TOPSIS Methods
Authors: Xu Yaokang , Wei Yichun , Wu Shiyu
Published: December 2024

Against the backdrop of global climate change and data inflation, exploring new technologies to handle the growing amount of meteorological data effectively is crucial to enhancing global disaster prevention and mitigation capabilities and advancing climate research. This study investigates seasonal and regional variations in tropical cyclone (TC) genesis in the Northwest Pacific, using a multidimensional analysis of TCs from 2022 and 2023. Using the entropy weight method (EWM) and TOPSIS method combined with five essential environmental and storm predictors, this study quantitatively assesses the potential of TC generation, i.e., the Tropical Cyclone Emergence Index (TCEI), in different regions of the northwestern Pacific Ocean. The results, such as 0.7750 and 0.4624 for other areas in May 2023, show that TC generation peaks in summer and weakens significantly in winter. It is also found that the TC emergence indices of different regions in the same month vary significantly, which indicates that the climatic conditions for TC generation are more complicated and diversified. The findings of this study not only provide a reference for improving the regional meteorological disaster warning capability and lay a foundation for further understanding the impact of climate change on TCs.
Analysis of Urban Marginal Expansion Based on Remote Sensing Means and Its Impacts on Landscape Pattern Changes
Authors: Ban Jingyun
Published: December 2024

The rapid expansion and development of the city have introduced a large number of surrounding rural populations into the city, resulting in the continuous outward expansion of the city area. The expansion of the town leads to changes in the morphology and number of patches in the urban fringe area, and a larger degree of expansion leads to loosen urban morphology, landscape fragmentation, and a reduction in the efficiency of land use, resulting in a series of problems such as loss of arable land, waste of resources, and damage to the ecological environment. Landscape pattern is an expression of land use, and a series of problems brought about by urban expansion will directly cause the evolution of landscape patterns. This paper introduces the research methods and main techniques of urban edge expansion based on remote sensing techniques and analyses the impact of urban edge expansion on the evolution of landscape patterns. Results show that studying urban edge expansion based on remote sensing technology includes buffer analysis using remote sensing data, establishing landscape indicators, and then discussing their impacts on the evolution of landscape patterns. The buffer zone analysis can identify the buffer zones of different circles to determine the scope of urban expansion in various periods, while the landscape pattern index analysis can evaluate the evolution of landscape patterns after the calculation and statistics of data. Finally, the impact of urban expansion on landscape pattern changes is mainly reflected in the fragmentation, heterogeneity, and complexity of the landscape.
Machine Learning-Based Flexural Strength Prediction of Layered Ceramic Materials
Authors: Bai Rui , Chen Zhiwei , Yang Kaicheng
Published: December 2024

The flexural strength of layered ceramic materials plays an important role in its application, and are affected by many structural parameters and process factors. At present, the experimental methods of layered ceramic materials are inefficient, and it is impossible to systematically analyze the effect of structural parameters and process factors on the bending strength of silicon nitride ceramics. In this paper, a machine learning model based on 3 classical algorithms is successfully established, and its bending strength is predicted with 5 indexes. According to the SHAP diagram, the material of layered ceramics has the greatest influence on the bending strength, followed by the sintering temperature, this article provides the basis and reference for the preparation of layered ceramic materials with high bending strength.
Optimal Crop Planting Scheme Based on Mixed Integer Programming
Authors: Ye Haitao , Li Xinhan , Shen Dongjie
Published: December 2024

In order to achieve sustainable development of rural economy, make full use of limited cultivated land resources, improve production efficiency, reduce planting risks, and consider the actual rural situation and crop yield per mu affected by climate, market and other factors. It is necessary to comprehensively consider the expected sales volume, yield per mu, uncertainty of planting cost and selling price of various crops and potential risks, and give the optimal planting plan of crops. First, the maximum expected benefit is taken as the objective function, the planting area of crops planted in each plot in each season of the year is taken as the decision variable, and the influence of uncertain factors such as climate and market conditions is comprehensively considered. The parameter change model of each situation in which the uncertain factors are represented is established, and the objective function, constraints and uncertainties are comprehensively considered. Using Monte Carlo simulation optimization algorithm, the Monte Carlo optimal benefit model is established. Through programming solution, we obtained that the planting plots of similar crops were concentrated, and most of them only planted one crop in one plot, or at most two crops in one plot. In this paper, the Monte Carlo simulation algorithm is innovatively adopted to fully consider the uncertainties of crop sales volume, price, per mu yield and planting cost, making the decision more scientific and reasonable.
Observation of Ocean Winds Using Satellite-based GNSS+R Technology
Authors: Song Yunyi
Published: December 2024

In recent years, due to climate change, there has been a significant increase in sea surface winds, leading to multiple iterations of satellite-based GNSS+R (Global Navigation Satellite System Reflectometry). The offshore wind measurement technology utilizing GNSS+R offers continuous and widespread capabilities. GNSS+R reflected signals have been extensively researched internationally for typhoon detection and disaster prediction applications. Despite its emerging nature, there is a lack of comprehensive articles detailing the development history of GNSS+R. Therefore, this paper aims to thoroughly review GNSS+R’s evolution by examining the connection between signals from surface mirror reflection and sea surface wind. Starting with the principles of ocean surface wind measurement proposed by NASA in 1997, the introduction of the Z-V model, and the advancement of GNSS+R remote sensing techniques, such as BP neural network-based GNSS+R sea surface wind speed retrieval methods, this paper traces the significant advancements in inversion technologies. It also discusses the international development of GNSS+R for offshore wind measurement, from the initial concept to the widespread applications of projects such as the UK’s Surrey company, the European Space Agency’s GEROS program, and NASA’s CYGNSS. Additionally, the paper covers the domestic launches of the Wind Catcher-1A and 1B satellites and the application of BeiDou navigation satellites. It summarizes the future technological advancements in GNSS+R remote sensing both domestically and internationally, exploring its potential for acquiring sea surface wind field information and predicting flood disasters. Finally, it emphasizes the challenges of signal interference and inversion algorithm accuracy with the hope of overcoming these technical hurdles.
The Sales Model and Brand Building of Lululemon: Key Factors in Market Success
Authors: Xu Ziyao , Ye Xuening , Zhang Vicky
Published: December 2024

Lululemon, a Canadian brand specializing in yoga apparel, has distinguished itself in the fiercely competitive sportswear market with its unique marketing strategies. This paper provides a comprehensive analysis of Lululemon's current development status from multiple perspectives, including market performance, product innovation, customer demographics, and competitive landscape. The study reveals that Lululemon has built a strong brand influence through precise brand positioning and innovative promotional methods. Additionally, by leveraging grassroots endorsements and effective salesperson techniques, the brand has enhanced its interaction with consumer needs. The unique in-store product mix and brand settings further boost its market competitiveness. Finally, this paper examines the impact of Lululemon's marketing strategies on the marketing environment, covering aspects such as brand loyalty and word-of-mouth marketing, the utilization of digital and social media, and adjustments in competitors' strategies. This study offers valuable insights for the selection and implementation of marketing strategies for sports brands in China.