bluuebunny/crossref_metadata_2025 huggingface dataset:
Mount Pinatubo’s effect on the moisture-based drivers of plant productivity
Authors: Singh Ram , Tsigaridis Kostas , Bull Diana , Swiler Laura P. , Wagman Benjamin M. , Marvel Kate
Published: September 2024

Abstract. Large volcanic eruptions can significantly affect the state of the climate, including stratospheric sulfate concentrations, surface and top-of-atmosphere radiative fluxes, stratospheric and surface temperature, and regional hydroclimate. The prevalence of higher natural variability in how the regional rainfall responds to the volcanic-induced climate perturbations creates a knowledge gap in understanding of how eruptions affect ecohydrological conditions and plant productivity. Here we will explore the understudied store (soil moisture) and flux (evapotranspiration) of water as the short-term ecohydrological control over plant productivity in response to the 1991 eruption of Mt. Pinatubo. We used the NASA’s Earth system model for modeling of the 1991’s Mt. Pinatubo eruption and detection of hydroclimate response. The model simulates a radiative perturbation of -5 Wm-2 and mean surface cooling of ~ 0.5 °C following the Mt. Pinatubo eruption in 1991. The rainfall response is spatially heterogenous, due to dominating variability, yet still shows suppressed rainfall in the northern hemisphere after the eruption. We find that up to 10–15 % of land regions show a statistically significant agricultural response. Results confirm that these higher-order impacts successfully present a more robust understanding of inferred plant productivity impacts. Our results also explain the geographical dependence of various contributing factors to the compound response and their implications for exploring the climate impacts of such episodic forcings.
A Data-Efficient Deep Transfer Learning Framework for Methane Super-Emitter Detection in Oil and Gas Fields Using Sentinel-2 Satellite
Authors: Zhao Shutao , Zhang Yuzhong , Zhao Shuang , Wang Xinlu , Varon Daniel J.
Published: September 2024

Abstract. Efficiently detecting large methane point sources (super-emitters) in oil and gas fields is crucial for informing stakeholders for mitigation actions. Satellite measurements by multispectral instruments, such as Sentinel-2, offer global and frequent coverage. However, methane signals retrieved from satellite multispectral images are prone to surface and atmospheric artifacts that vary spatially and temporally, making it challenging to build a detection algorithm that applies everywhere. Hence, laborious manual inspection is often necessary, hindering widespread deployment of the technology. Here, we propose a novel deep-transfer-learning-based methane plume detection framework. It consists of two components: an adaptive artifact removal algorithm (low reflectance artifact detection, LRAD) to reduce artifacts in methane retrievals, and a deep subdomain adaptation network (DSAN) to detect methane plumes. To train the algorithm, we compile a dataset comprising 1627 Sentinel-2 images from 6 known methane super-emitters reported in the literatures. We evaluate the ability of the algorithm to discover new methane sources with a suite of transfer tasks, in which training and evaluation data come from different regions. Results show that the DSAN (average macro-F1 score 0.86) outperforms two convolutional neural networks (CNN), MethaNet (average macro-F1 score 0.7) and ResNet-50 (average macro-F1 score 0.77), in transfer tasks. The transfer-learning algorithm overcomes the issue of conventional CNNs that their performance degrades substantially in regions outside training data. We apply the algorithm trained with known sources to an unannotated region in the Algerian Hassi Messaoud oil field and reveal 34 anomalous emission events during a one-year period, which are attributed to 3 methane super-emitters associated with production and transmission infrastructure. These results demonstrate the potential of our deep-transfer-learning-based method towards efficient methane super-emitter discovery using Sentinel-2 across different oil and gas fields worldwide.
The importance of burning conditions on the composition of domestic biomass burning organic aerosol and the impact of atmospheric aging
Authors: Evans Rhianna Louise , Bryant Daniel Jack , Voliotis Aristeidis , Hu Dawei , Wu Huihui , Syafira Sara Aisyah , Oghama Osayomwanbor Ebenezer , McFiggans Gordon , Hamilton Jacqueline Fiona , Rickard Andrew Robert
Published: September 2024

Abstract. Domestic biomass burning is a significant source of organic aerosol (OA) to the atmosphere however the understanding of OA composition under different burning conditions and after oxidation is largely unknown. Compositional analysis of OA is often limited by the lack of analytical standards available for quantification, however, semi-quantitative non-target analysis (NTA) can overcome these limitations by enabling the detection of thousands of compounds and quantification via surrogate standards. A series of controlled burn experiments were conducted at the Manchester Aerosol Chamber to investigate domestic biomass burning OA (BBOA) under different burning conditions and the impact of atmospheric aging. Insights into the chemical composition of fresh and aged OA from flaming dominated and smouldering dominated combustion were obtained via a newly developed semi-quantitative NTA approach using ultra-high-performance liquid chromatography high-resolution mass spectrometry. Aerosol from smouldering dominated burns contained significant organic carbon content whereas under flaming dominated conditions was primarily black carbon. The detectable OA mass from both conditions was dominated by oxygenated compounds (CHO) (≈ 90 %) with smaller contributions from organonitrogen species. Primary OA (POA) had a high concentration of C8-C17 CHO compounds with both burns exhibiting a peak between C8-C11. However, flaming dominated POA exhibited a greater contribution of C13-C17 CHO species. More than 50 % of the CHO mass in POA was determined as aromatic by the aromaticity index, largely in the form of functionalised monoaromatic compounds. After aging the aromatic contribution to the total CHO mass decreased with a greater loss for smouldering (-53 %) than flaming (-16 %) due to the increased reduction of polyaromatic compounds under smouldering conditions. The O:C ratios of the aged OA from flaming and smouldering were consistent with those from the oxidation of aromatic compounds (0.57–1.00), suggesting that compositional changes upon aging were driven by the oxidation of aromatic compounds and the loss of aromaticity. However, there was a greater probability of O:C ratios ≥ 0.8 in aged smouldering OA indicating the presence of more oxidised species. This study presents the first detailed compositional analysis of domestic BBOA using a semi-quantitative NTA methodology and demonstrates compositional changes between burn phase and after aging may have important consequences for exposure to such emissions in residential settings.
Future changes in water availability: Insights from a long-term monitoring of soil moisture under two tree species
Authors: Zelíková Nikol , Toušková Jitka , Kocum Jiří , Vlček Lukáš , Tesař Miroslav , Bouda Martin , Šípek Václav
Published: September 2024

Abstract. Vegetation interacts with both soil moisture and atmospheric conditions, contributing to water flow partitioning at the land surface. Therefore, both climate and land cover changes impact water resource availability. This study aimed to determine the differential effects of climate change on the soil water regime of two common Central European forest types: Norway spruce (Picea abies L.) and European beech (Fagus sylvatica L.) stands. A unique dataset, including 22 years (2000–2021) of measured soil water potentials, was used with a bucket-type soil water balance model to investigate differences in evapotranspiration and groundwater recharge both between the forest types and across years. While long-term column-averaged pressure head indicated drier soil at the spruce site overall, this was driven by the wettest years in the dataset. Seasonal and interannual variability of meteorological conditions drove complex but robust differences in flow partitioning between the forest types. Higher snow interception by spruce (27 mm season-1) resulted in drier soil below the spruce canopy in the cold season. Higher transpiration by beech (70 mm season-1) led to increasingly drier soils over the warm seasons. Low summer precipitation inputs exacerbated soil drying under beech as compared to spruce. Estimated summer recharge was lower under beech (25 mm season-1) due to its lower transpiration. The difference was more pronounced (over 40 mm season-1) during wetter summers. These suggest that expected trends in regional climate and forest species composition may interact to produce a disproportionate shift of recharge from the summer to the winter season.
DAMPAK TEKNOLOGI INFORMASI TERHADAP PROSES DAN KUALITAS AUDIT
Authors: Iqlimah Nur , Kanivia Aan , Chandra Aditya Kurniawan
Published: September 2024

Teknologi informasi saat ini mengalami kemajuan yang pesat, mengubah banyak aspek dalam dunia perusahaan termasuk bidang akuntansi, yang berpengaruh langsung terhadap proses dan kualitas audit. Penelitian ini bertujuan untuk mengeksplorasi dampak dari perkembangan penggunaan teknologi terhadap proses dan kualitas audit. Metodologi penelitian ini menggunakan pendekatan tinjauan pustaka berbasis jurnal penelitian untuk mengumpulkan, membandingkan, dan menganalisis studi sebelumnya yang relevan dengan topik ini. Penelitian ini menyimpulkan bahwa teknologi informasi memberikan dampak signifikan terhadap proses audit dan kualitas audit. Perkembangan teknologi informasi telah secara fundamental mempengaruhi proses audit internal dengan memanfaatkan teknologi sebagai alat untuk mengumpulkan informasi, sistem pengendalian, komunikasi, pemantauan sistem, pemantauan kinerja, dan pemantauan risiko. Selain itu, teknologi informasi juga meningkatkan kualitas audit dengan meningkatkan efisiensi, akurasi, keamanan, dan kolaborasi, serta memungkinkan pendekatan audit yang lebih proaktif dan berkelanjutan. Dengan demikian, penelitian ini bertujuan untuk memberikan wawasan mendalam tentang bagaimana teknologi informasi mempengaruhi proses dan kualitas audit dalam lingkungan bisnis modern.
Reflections on the Sources of the Contemporary Islamic Revival
Authors: Weismann Itzchak
Published: September 2024

The groups and movements that comprise the Islamic revival of the past half century share an ideology of return to the origins of the faith and strictly following the scriptures. They are habitually divided into Islamist activists, who seek involvement in the political arena; Salafi purists, who censure “deviations” from “true” Islam; and Traditionalist ʽulama, who uphold the living legal, theological, and Sufi tradition. This article offers some reflections on the intricate connections and conflicts among these three large religious trends by reviewing three recently published studies that touch upon the ideational sources on which they draw. It shows the ambiguous stand of Sunni Islamic Modernists, the precursors of Islamism, toward old and new Muslim sects; the lingering exclusivism and militancy of Wahhabis, who form a subset of Salafism, in al-Qaʽida and ISIS; and the versatility of Traditionalists in accommodating to modernity.
The Polysemic Comedy of Too Busy to Work
Authors: Covey William
Published: September 2024

This article examines cultural, narrative and stylistic features of Too Busy to Work, a 1932 film starring Will Rogers. While, on the surface, the movie could be seen as a simple light comedy about the travelogue of a hobo name Jubilo, close examination reveals a tragicomedy interested in issues of justice, marriage, political parody, food, money, work, and a Civil War era song that is used both as a personal identity marker and an illustration of the general complexities of race in the United States. Too Busy to Work instead leads the careful critic to a complex visual text that asks unanswerable social questions. Thus, the film should be studied and remembered as interesting, unusual, and complex.
Modeling the distribution of the proboscis monkey (Nasalis larvatus) in Sabah (Borneo) based on remotely sensed high-resolution global cloud dynamics
Authors:   I. I. Schmalhausen Institute of Zoology, NAS of Ukraine (Kyiv, Ukraine), Tytar Volodymyr , Kozynenko Iryna ,   I. I. Schmalhausen Institute of Zoology, NAS of Ukraine (Kyiv, Ukraine), Navakatikyan Michael ,   University of New South Wales (New South Wales,  Australia)
Published: September 2024

Proboscis monkeys, Nasalis larvatus (Wurmb, 1787), are indigenous to the island of Borneo and are considered one of its most emblematic species. Today the conservation status of this primate is classified as Endangered on the the IUCN Red List and listed under Appendix I of CITES, prohibiting all international commercial trade. In the Malaysian state of Sabah, the species is listed as totally protected and cannot be hunted. Continuing studies suggest that the number of proboscis monkeys has been decreasing in recent years. These studies have identified various factors contributing to this decline and its potential consequences. In order to carry out a thorough assessment of the conservation status of the species it is essential to have a good understanding of the animal`s ecology and habitat requirements and to use research-based approaches. One of such are species distribution models (SDMs) which in recent decades have become widely used tools in ecology by relating species occurrences to environmental data so as to gain ecological insights. In this work we specifically evaluated the effect of environmental parameters such as cloud cover to predict the potential distribution of the proboscis monkey in Sabah. Cloud cover, a seemingly simple atmospheric phenomenon, exerts a profound influence on a wide range of ecological biological processes, yet the assessment of its importance has remained remarkably limited. For modeling purposes the ‘flexsdm’ R (v. 3.3.3) modeling package was employed for testing out the Maximum Entropy (Maxent) algorithm, one of the most widely used SDM modeling methods. Model evaluation gave satisfactory results and the resulting model found a high level of suitability for proboscis monkeys in nearshore areas. A concerning discovery is that perhaps less than 13% of Sabah's area is suitable for proboscis monkey habitats, raising questions about their long-term viability. Cloud cover, particularly average annual cloudiness, is a key environmental factor influencing the distribution of proboscis monkeys in Sabah. The conversion of Borneo's forests to oil palm plantations can negatively impact cloud properties, potentially threatening the monkeys' habitat.
Competitive Advantage as Mediating Role to Enhance MSMES Performance
Authors: Zahara Zakiyah , Muslimin Muslimin , Rumijati Aniek , Rony Zahara Tussoleha
Published: September 2024

Small and Medium Enterprises (SMEs) play an important role in improving a country’s economy. However, only SMEs with a competitive advantage can win the market competition and improve SMEs’ performance. This study aims to analyze the role of knowledge management and supply chain management in improving company performance through the influence of competitive advantage. The research method used in this research is quantitative with a causal approach. The population in this study was conducted on SMEs in Palu City. Purposive sampling was used to collect 100 samples from small and medium enterprises. Data analysis was performed using Structural Equation Modeling (SEM). The research results partially and simultaneously show that Knowledge management has a significant effect on competitive advantage; knowledge management has a significant effect on company performance. Supply chain management has a significant effect on company performance. Competitive advantage has a significant effect on company performance, and also, Competitive advantage mediates the effect of knowledge management on company performance. However, supply chain management has no significant effect on competitive advantage, and Competitive advantage does not mediate the effect of supply chain management on company performance. the importance of knowledge management in achieving competitive advantage from SMEs is important. Increased competitive advantage occurs from two factors, namely product differentiation strategies and pricing, which can increase the competitive advantage of competitors and increase SMEs’ profitability.
Logoterapia, sentido de vida e luto: uma revisão de escopo
Authors: Nascimento Raul Bruno Tibaldi
Published: September 2024

A busca por sentido na vida pode se tornar ainda mais premente entre pessoas enlutadas e estratégias de prevenção e intervenção psicológica são desejáveis para assistência ao luto. Diante disso, foi realizada uma revisão de escopo com o objetivo de reunir evidências sobre a influência do sentido de vida no enlutamento e as contribuições clínicas da Logoterapia. Os critérios de elegibilidade incluíram artigos teóricos ou empíricos publicados em periódicos revisados por pares, sem restrição de data, em português, inglês ou espanhol, e a busca foi realizada em sete diferentes bases de dados eletrônicas. A síntese qualitativa final incluiu 31 artigos, agrupados em duas categorias. Na primeira, os principais resultados foram discutidos em quatro subtemas relativos à associação entre o sentido de vida e consequências e reações ao luto, estratégias de coping e adaptação ao luto, crescimento pós-traumático e lutos parentais. Na segunda, foram sintetizadas recomendações para o trabalho logoterapêutico com enlutados. Ao final, são consideradas implicações clínicas e de pesquisa da revisão, incluindo recomendações para trabalhos futuros.
Interações diádicas na creche: um estudo com educadoras e bebês com e sem deficiência física
Authors: Bossi Tatiele Jacques , Sehn Amanda Schöffel , Feeburg Natália Luz , Piccinini Cesar Augusto
Published: September 2024

O presente estudo objetiva investigar a interação educadora-bebê com e sem deficiência física nos momentos de brincar na creche. Foram acessados 57 episódios de interação de 10 bebês - 2 com deficiência e 8 sem deficiência - com 8 educadoras de berçário de duas Escolas de Educa- ção Infantil de Porto Alegre. Realizou-se observações filmadas da rotina na creche, que foram analisadas através de um protocolo sobre as interações diádicas educadora-bebê. Análises não paramétricas não revelaram diferenças significativas nos comportamentos dos bebês com e sem deficiência. Entretanto, em relação às educadoras, houve diferença significativa na categoria afeto negativo, indicando que elas demonstraram mais afeto negativo com os bebês sem deficiência quando comparado aos com deficiência, com mais expressão de conflitos, discordâncias ou repreensões. Além disso, as educadoras tenderam a direcionar mais o olhar e a realizar mais comportamentos de estimulação cognitiva com os bebês com deficiência. Em conjunto, os resultados permitem refletir sobre a especificidade que a deficiência física do bebê pode trazer para a interação educadora-bebê, que demanda sensibilidade em estar atenta à singularidade do bebê com deficiência, sem desconsiderar o coletivo.
Avaliação da timidez e fobia social: evidências de validade baseadas no conteúdo, na estrutura interna e consistência interna
Authors: Maito Daniella , Veiga Heila Magali da Silva , Filho Sidnei Priolo , Cortez Pedro Afonso
Published: September 2024

O presente estudo objetivou realizar a adaptação cultural e proporcionar evidências psicométricas das Escalas Revisada de Timidez Cheek & Buss (RCBS) e Inventário de Fobia Social (SPIN) para avaliação da timidez e fobia social entre crianças e adolescentes brasileiros. Participaram do estudo 142 adolescentes, com média de idade de 14,22 anos (DP = 1,76; Min = 10,00; Máx = 17,50), sendo 64,08% do gênero feminino. As escalas avaliadas apresentaram elevada consistência interna, com Alfa de Cronbach e Ômega de McDonald superiores a 0,80 para todos os fatores dos instrumentos. A RCBS obteve índices de ajustes adequados para o modelo de um fator, e o inventário SPIN apresentou melhores índices de ajustes para o modelo testado de dois fatores. A evidência de validade para critério concorrente demonstrou correlação positiva e significativa com fatores relativos à vitimização por bullying. Identificou-se a sobreposição dos fatores das escalas RCBS e SPIN, o que respaldou a proposta de uma escala unificada (MU-TFS) de avaliação dos dois construtos, abrangendo 35 itens e estrutura fatorial de três fatores. O principal impacto do estudo consiste na otimização das condições de avaliação e rastreio da timidez e fobia social entre crianças e adolescentes brasileiro.
Refining Color Scheme Generation: Iterative K-Means Clustering and ARI Evaluation
Authors:   Amity School of Engineering & Technology, Amity University Uttar Pradesh, Lucknow, India, Yadav Abhinandan
Published: September 2024

Color goes beyond mere visual sensation, holding profound sway over emotions, thoughts, and perceptions. It communicates, evokes moods, and significantly influences judgments. Research underscores its importance, with up to 90% of product assessments being based solely on color, highlighting its pivotal role in crafting memorable experiences and defining brand identities. The fusion of art and technology presents a captivating synergy within the realm of image-derived color schemes. Color palette generation from images is pivotal in graphic design, interior decoration, and digital media. This study delves into methodologies for extracting dominant colors from images and generating cohesive color schemes. Leveraging K-Means clustering with the Within-Cluster Sum of Squares (WCSS) method, we showcase superior performance compared to traditional approaches. The evaluation of palette coherence using the Adjusted Rand Index (ARI) facilitates consistency within the generated color schemes. Integrating methodologies with design tools and advanced color harmonies opens avenues for further innovation and customization. This study underscores the transformative potential of image-based color scheme generation, bridging the gap between computational analysis and creative expression. Through the convergence of artistry and technological prowess, we aim to enhance the design landscape and enrich user experiences across various applications and industries.
Domestic Wastewater Treatment Using Natural Filtration and Solar Distillation Processes
Authors:   Department of Pure and Applied Physics, University of Kota, Rajasthan, India, Prajapati Mahima
Published: September 2024

Fresh water is most important daily requirement for human survival. On one hand many regions/countries are facing challenges related to availability of potable water for drinking and daily needs, on other hand water is wasted daily from different domestic applications. Processing and reuse of domestic waste water can help bridge gap between demand and supply. Present study describes a domestic waste water treatment process using combined natural filtration and solar distillation methods. In natural filtration process husk fibre, activated carbon and coconut husk fibre were used as filters. For solar distillation a pyramid shaped distillation unit is used. The samples of domestic waste water were collected from laundry, kitchen and house cleaning applications. The pH, TDS (total dissolved solids) and DO (dissolved oxygen) values of domestic waste water samples and water after treatment were tested. The results after treatment reveal that the values of TDS, pH, and dissolved oxygen are close to the standard values required for potable water which can be further used in different applications.
Employment and Energy
Authors: Phatak Ajay
Published: September 2024

Ajay Phatak from The Ecological Society, Pune, reflects on Dr. Romesh Wadhwani's keynote at a 2015 Global Business Forum. Wadhwani highlighted the disconnection between India's GDP and employment growth, stressing that despite significant economic growth, employment, particularly in the organized sector, has lagged far behind. He advocated for vocational training, self-employment, and entrepreneurship to address this gap.WhilePhatak agrees with Wadhwani’s insights, he goes further in establishingthe critical link between job creation and energy consumption. Automation in industries, while boosting productivity, often replaces human labor with energy-intensive machinery. Phatak suggests a shift towards sustainable employment modelsandfocusing on restoring ecosystems and natural resources. This approach could create meaningful jobs with a lower energy footprint, helping to address both employmentgenerationandneed forenvironmentalrestorationin India.
Impact of ESG Risk on Portfolio Optimization and Returns: An Analysis Using the Markowitz Model
Authors: Jia Siqi
Published: September 2024

This paper explores the integration of Environmental, Social, and Governance (ESG) factors into portfolio optimization using the Markowitz Model, focusing on two groups of ten stocks each from the Technology, Media, and Telecom (TMT) sectors. These stocks are categorized into low and high ESG risk groups according to established ESG rating agencies. Employing historical data, the study computes key financial metrics such as annualized returns, standard deviation, and Sharpe ratios to conduct various portfolio optimizations including the minimal risk frontier, efficient frontier, and inefficient frontier, while also applying five specific operational constraints reflective of real-world investment limits. The analysis distinctly highlights the superior performance of the low ESG risk group, which demonstrated higher returns and better risk-adjusted return profiles, as evidenced by elevated Sharpe ratios. These findings suggest that ESG integration not only aligns with broader societal goals but also enhances financial performance, especially under diverse regulatory and strategic constraints. This research enriches the discourse on sustainable investing by providing empirical evidence on how ESG factors influence traditional portfolio management strategies, potentially guiding future investor decisions and promoting a shift towards more sustainable investment practices.
How to Construct Immersive Anti-Fraud Education Curriculum
Authors: Cai Shunda , Li Ye
Published: September 2024

With the rapid development of online commercial services and mobile payments, internet fraud methods are emerging in an endless stream, posing serious threats to individuals and society. To enhance the effectiveness of anti-fraud education and improve the cyber security awareness and anti-fraud capabilities of the public, especially the younger generation. Based on an analysis of the current severe situation of internet fraud and its impact on society, this paper summarizes and evaluates the shortcomings and areas for improvement of existing traditional anti-fraud education methods. It combines the theoretical basis of immersive education and its application in other educational fields to propose the idea of constructing an immersive anti-fraud education curriculum. The paper analyzes the advantages of immersive anti-fraud education, including enhancing student engagement and experience, improving learning outcomes, providing personalized learning plans, stimulating learning interest, and achieving real-time feedback and adjustments. Several feasible implementation methods for immersive anti-fraud education are presented, combining emerging virtual reality technology and real-life interactive games. Each method can enhance students' fraud prevention awareness and skills to varying degrees. The paper also provides a detailed introduction on how to design an immersive anti-fraud education curriculum, including the setting of teaching objectives, content design, technology application, teaching methods, evaluation methods, and continuous improvement. Through this research, we hope to provide educators with a new perspective and method to help students better protect themselves in the online environment, while also contributing to the development of the field of cybersecurity education.
Research on Problems and Solutions of Quantitative Investment in the Chinese Market
Authors: KIT LIN CHUN
Published: September 2024

Quantitative investment has gradually become increasingly important in the Chinese finance market in recent decades. It improves the efficiency of investment, reduces the risk of investment, enhances the liquidity of some market assets and provides new opportunities to accumulate wealth for investors. As a new investment method, it raises some problems which lead to the turmoil of the market when it keeps developing and gaining traction. This paper will review the current situation of quantitative investment in the Chinese market from its development history and the sizes of funds. This study shows that there are mainly four problems existing in the application of quantitative investment in China. Listed below are problems. The evident government intervention in the market has a negative impact on the fitting effectiveness of quantitative models. Some kinds of assets and commodities face poor liquidity and for them, quantitative investment strategies can hardly be conducted accurately. The accuracy of quantitative analysis can be unreliable for the financial data is sometimes incomplete and unreliable in the Chinese market. The high-frequency trading affects the stability of the whole market because of lack of market supervision. This paper also puts forward relevant countermeasures and suggestions according to these problems. This study has great significance to the healthy development of quantitative investment in the Chinese market.
Compact operators on the Motzkin sequence space $c_0(\mathcal{M})$
Authors: Erdem Sezer
Published: September 2024

The concept of non-compactness measure is extremely beneficial for functional analysis in theories, such as fixed point and operator equations. Apart from these, the Hausdorff measure of non-compactness also has some applications in the theory of sequence spaces which is an interesting topic of functional analysis. One of these applications is to obtain necessary and sufficient conditions for the matrix operators between Banach coordinate (BK) spaces to be compact. In line with these explanations, in this study, the necessary and sufficient conditions for a matrix operator to be compact from the Motzkin sequence space $c_0(\mathcal{M})$ to the sequence space $\mu\in\{\ell_{\infty},c,c_0,\ell_1\}$ are presented by using Hausdorff measure of non-compactness.
An investigation of the enzymatic oligomerization of nitro-substituted phenylene diamine: Thermal and fluorescence properties
Authors: Kolcu Feyza
Published: September 2024

2-nitro-p-phenylenediamine, an aromatic diamine, was studied for its oxidative oligomerization with H2O2 using enzyme-catalyzed oligomer synthesis. Characterization of molecular structures was performed utilizing ultraviolet-visible (UV-Vis) spectrophotometer, Fourier-transform infrared spectroscopy (FT-IR), and nuclear magnetic resonance (NMR) techniques, identifying phenazine-bridged oligomer resulting from the enzymatic oligomerization process. Based on the results of gel permeation chromatography (GPC) analysis, the synthesized compound was identified as being in an oligomeric form. Conversely, the number of repeating units, as determined by Mw, was found to be 28. The solvent effect on the optical features of the synthesized oligomer in polar solvents was analyzed. The degradation of phenazine-type structures in the oligomer occurred at higher temperatures than that of the monomer. Under visible light excitation, the oligomer exhibited green light emission with a quantum yield (QY) of 6.2% in N,N-dimethylformamide (DMF). 2-nitro-p-phenylenediamine was readily oxidized into an oligomer with ortho-coupled constitutional units, having a lower electrochemical band gap than the monomer, via the enzymatic oligomerization route. Scanning electron microscopy revealed that enzyme-catalyzed oxidation of monomers exhibited a spongy morphology with some pores
The Current Application and Optimization Suggestions of the Punitive Damages System in China
Authors: Qu Hanfei
Published: September 2024

China has now established a system of punitive damages, with the Civil Code as the main body, supplemented by other separate laws. This paper posits that the punitive compensation system addresses the shortcomings of the current private law system. With the blurring boundaries between public and private law, the punitive compensation system is more conducive to preventing social risks and providing comprehensive and adequate relief to the rights and interests of the infringed. The purpose of this paper is to analyse the historical origin and function of the punitive damages system, to summarize the process of its localised application in China, and then to analyse the status and existing problems in the application, and to put forward the improvement methods for the existing problems. The research value of this paper mainly includes two aspects: theoretically, it helps identify defects and deficiencies in the application of the punitive damages system; practically, it aids in reducing the judiciary's subjective arbitrariness.
Research on Corporate Environmental Responsibility: A Case Study of Multinational Corporations
Authors: He Shengqing
Published: September 2024

In light of the expanding global environmental challenges, multinational corporations (MNCs) are often held accountable for their disproportionate role in environmental degradation. This study looks at how MNCs safeguard the environment and what factors lead to ecological dangers that are related with them. The production volumes of MNCs and their inclination to relocate pollution-intensive industries to developing countries are the specific subjects of the study. A few of the main obstacles that the study identifies to MNCs' environmental responsibility are the deficiency of the current international legal framework, the lack of harmonization of environmental legislation, and the tendency of developing countries' economic priorities to overlook strict environmental measures. To address these issues, the study recommends the following measures: the establishment of robust monitoring and accountability mechanisms; the direct imposition of practicable environmental liabilities; the strengthening of international judicial cooperation; and the clarification of judicial ambiguities regarding MNCs' legal responsibilities in the environmental sector. The paper uses a case study methodology to provide a comprehensive review of best practices and tactics for improving MNCs' environmental management. The findings underline the importance of governments working together to ensure that multinational firms' actions are consistent with environmental sustainability ideals.
Research on the Relationship Between Technology and Art
Authors: Wang Kaiping
Published: September 2024

With the development of technology, the maturity of AI technology has enabled most people to experience artistic creation. In this way, the relationship between art and technology has become a hot topic in academia. This paper examines the intricate relationship between technology and art, focusing on their mutual influence. Using literature reading and analysis, the study explores the advantages and challenges of integrating technology with art. This article will explore from the following three perspectives: First, the impact of camera technology on impressionism; Second, the influence of industrialization on pop art; Third, the use of artificial intelligence in modern art. From these three angles, it can be seen that art and technology are mutually reinforcing. Technology drives the innovation of art, and in turn, art promotes the iteration of technology.
Anxiety, Dilemma and Transcendence - The Case of Lilly's Drawing Process
Authors: Du Xinyi
Published: September 2024

In Virginia Woolf's classic work To the Lighthouse, although Lily is not the main character, the idea of bisexuality embodied in her makes her one of the most important objects in the study of feminist thought. This paper intends to start from the rough painting process of Lily in To the Lighthouse to discover the content of Lily beyond feminist thought. Through the study, it finds that Lili not only symbolizes the beautiful personality of bisexuality, but she is also full of anxiety and dilemmas: the dilemma of the mind when creating, the anxiety about the right of free choice, the anxiety about the meaning of life existence, and the dilemmas of communication between human beings and human beings, between human beings and the ego, and the book also puts forward the way of transcending anxiety and dilemmas. The book also suggests ways to transcend anxiety and dilemma. Through analyzing the process of Lili's painting, this paper uncovers the anxious and difficult side of Lili's image, which not only enriches the previous research on Lili's image (bisexual homoeroticism), but also further reveals her complex and varied inner spiritual world, and these discoveries provide us with a more comprehensive and in-depth perspective for understanding and interpreting this important character in this masterpiece of literature.
To What Extend Does Jewish Business Thinking Model and Practise Affect Modern Enterprise Management in Chinese Fashion Industry
Authors: Wang Yuchen
Published: September 2024

Jewish is famous for its business tradition, wisdom and creativity. According to Forbes' Rich list published in 2022, the total number of people on the list in 2022 is 2,668, of which 267 are Jewish. It is reported that 11.6 percent of the world's billionaires have Jewish backgrounds and they take up about 13 percent of the wealth in the world. Advantages such as focus on education and learning, concentrating on budget conscious and stimulate innovation, and focusing on corporate social responsibility are worth learning for Chinese fashion industry practitioners. This is because the lack of fashion design innovation, workers comprehensive ability, education and training system, and corporate social responsibility are the most important weaknesses for Chinese fashion companies. Therefore, the purpose of this paper is to explore the Jewish business tradition and characteristics, deeply understand their business concepts and behavior, and use their essence to provide insights for Chinese fashion business practitioners to improve the above weaknesses.
A Review of the Impacts of Industrial Revolutions in World History
Authors: Jiang Mengchen
Published: September 2024

The late 18th and early 19th centuries were undoubtedly the most significant periods of technological advancements and social transformations in human history. The Industrial Revolution began in Europe and England, during which society transformed from a traditional agrarian society to a modern industrialized society. Key developments include technological innovations such as steam engines and textile machinery, which added momentum to this important transformation by increasing efficiency in factory production and changing production processes. This study examines significant developments, including the origins of the Industrial Revolution and its impact on modern society. It mainly focuses on technological innovation and change during the Industrial Revolution, including economic transformation and social change. This paper analyzes historical literature to explain how these changes laid the foundation for modern industrial society and how these findings explain the connection between technological progress, economic transformation, and social transformation, providing valuable insights for the development of industrial practice. It concludes that the legacy of the Industrial Revolution continues to influence current industrial policies and practices, emphasizing the importance of innovation, economic adaptability, and social responsibility in stimulating sustainable industrial growth.
A Reconsideration of Aesthetic Value and Moral Value of Artwork - An Immoralism Approach
Authors: Yao Jiaxuan
Published: September 2024

While contemporary art, famous for its abstract form and transgressive nature, is prevalent in the artistic world, the artistic world hasnt established an objective aesthetic evaluating system that allows viewers to fully experience the aesthetic value of transgressive art, which is the most radical, offensive, and morally problematic art form among the contemporary arts. The article reviews the two traditional evaluative approaches, Autonomism and Moralism, and discusses their limitations. Then, the article introduces the concept of transgressive art and Immoralism. The author also recognizes the theoretical gap that fails to illustrate in what perspective viewers can fully understand the aesthetic value of transgressive art. The article then establishes that the moral value of transgressive art lies in the fact that moral defects can contribute to its aesthetic value if the artwork is viewed from a receptive and reflective perspective. The article is significant in filling the theoretical gap and establishing a more systematic evaluative system.
Advances in the study of cytokine storm mechanisms in pneumonia: An example of IL-6 and IL-33
Authors: Li Yanxi
Published: September 2024

In the past decades, pneumonia has been plaguing countries around the world, with great implications for medical and public health. Systems pose a serious challenge. Many pneumonia outbreaks have occurred in local areas and even in the world. Since the end of 2019, the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has once again attracted the world's attention to viral pneumonia. At present, a large number of basic research, drug development and clinical trials are being carried out for SARS-CoV-2 and COVID-19. However, patients are generally given symptomatic and supportive treatment, antiviral therapy, immunotherapy, glucocorticoid therapy and respiratory support. Therefore, finding new and effective treatment methods based on the pathogenic mechanism of SARS-CoV-2 is still the current practical demand and research focus. This review focuses on the occurrence and development of CS and the immunopathological damage caused by CS in viral pneumonia, especially in severe pneumonia, and summarizes the potential means of treating CS through IL-related pathways. Research found that different viruses cause CS, cytokines involved in the type and severity of differences, therefore, should also be targeted in the treatment strategy. In addition, in addition to focusing on the treatment of CS, in order to better study the pathophysiological mechanism of virus-induced CS and screen intervention drugs efficiently, how to safely and effectively establish cell and animal models of CS and improve the scientific evaluation system are also key issues worthy of attention.
Hubungan antara motivasi siswa dengan efektivitas pembelajaran pada mata pelajaran pendidikan jasmani olahraga dan kesehatan
Authors: Irawan Decky Candra , Aziz Muhammad Zainuddien , Wibisono I Gusti Ananda Bayu
Published: September 2024

Motivasi belajar menjadi hal yang fundamental. Hal ini diyakini ketika siswa mempunyai keinginan belajar yang kuat, maka mereka akan mampu belajar secara efektif. Tujuan penelitian untuk mengetahui hubungan efektivitas belajar dan motivasi siswa pada mata pelajaran Pendidikan Jasmani, Olahraga, dan Kesehatan (PJOK) di Sekolah Menengah Atas Negeri 1 Kandangan. Penelitian ini memakai pendekatan kuantitatif sedangkan jenisnya korelasi. Populasi penelitian sejumlah  1.039 siswa. Sebanyak 40 siswa (laki-laki=14 dan perempuan=26) menjadi sampel. Teknik yang digunakan untuk memperoleh sampel adalah accidental sampling. Instrumen penelitian menggunakan angket motivasi dan angket efektivitas. Kedua angket tersebut telah dilakukan uji validitas dan reliabilitas. Temuan penelitian diuji menggunakan uji normalitas, setelah menemui hasil normal dilakukan uji linearitas untuk mengetahui sebaran data kemudian dilanjutkan uji hipotesis korelasi. Hasilnya terdapat hubungan positif dan signifikan antara motivasi siswa dan efektivitas pembelajaran Pendidikan Jasmani, Olahraga, dan Kesehatan (PJOK) di Sekolah Menengah Atas Negeri 1 Kandangan. Sehingga dapat diartikan bahwa motivasi menjadi aspek penting dalam berjalannya proses pembelajaran. Semakin tinggi motivasi siswa semakin tinggi pula efektivitas suatu pembelajaran.
Pengembangan instrumen keterampilan dasar futsal untuk siswa sekolah dasar
Authors: Putra Novan Adi Surya , Rizki Ainun Zulfikar , Ansori Sigit , Afandi Alvin
Published: September 2024

Tujuan penelitian ini untuk mengungkap pengaruh permainan tradisional terhadap kelincahan siswa UPT SDN 28 Karang Pauh Kecamatan Bayang Kabupaten Pesisir Selatan. Populasi dalam penelitian ini adalah siswa UPT SDN 28 Karang Pauh, yang berjumlah 68 orang yang terdiri dari 6 kelas. Teknik pengambilan sampel adalah dengan teknik purposive sampling. Sampel dalam penelitian ini berjumlah 26 siswa kelas IV dan V. Instrumen dalam penelitian ini menggunakan shuttle run test. Teknik Analisis data menggunakan rumus uji t, dan didapatkan hasil dari analisis data yaitu terdapat pengaruh signifikan permainan tradisional lari balok terhadap kelincahan siswa sekolah dasar, dengan peroleh koefisien uji t hitung = 5,25 > t tabel = 1,708. Kesimpulannya, permainan tradisional balok efektif digunakan untuk meningkatkan kelincahan siswa sekolah dasar. Penelitian selanjutnya dapat melibatkan permainan tradisional lainnya untuk meningkatkan aspek fisik pada siswa sekolah dasar.
Penanganan Kegagalan Pengiriman Barang Antar dengan Metode Failure Mode and Effect Analysis (FMEA) dan Fault Tree Analysis (FTA) Studi pada Perusahaan Jasa Ekspedisi
Authors: Mardhotilah Ghina Misrina , Rizal Muhamad , Tahir Rusdin
Published: September 2024

Penelitian ini bertujuan untuk mengusulkan pembaruan prosedur pengiriman barang antar dan pembuatan flowchart yang lebih rinci untuk meningkatkan kualitas layanan dan efisiensi pengiriman barang antar. Pendekatan kualitatif deskriptif digunakan untuk mendapatkan gambaran menyeluruh yang komprehensif mengenai praktik dan tantangan yang dihadapi dalam proses pengiriman. Informan dalam penelitian ini terdiri dari Manajer Divisi Antaran dan Asisten Manajer Divisi Antaran SPP Bandung 40400, Manajer Divisi Antaran DC Cikeruh, serta petugas antaran yang terlibat langsung dalam operasional sehari- hari. Pengumpulan data dilakukan melalui observasi, studi dokumentasi, dan wawancara mendalam. Teknik analisis data dilakukan menggunakan Failure Mode and Effects Analysis (FMEA) dan Fault Tree Analysis (FTA) untuk mengidentifikasi potensi kegagalan dan memahami hubungan antar faktor penyebab. Hasil penelitian menunjukkan bahwa meskipun proses pengiriman umumnya berjalan baik, terdapat masalah operasional dan teknis yang menyebabkan kegagalan pengiriman barang antar.
Pengaruh Kinerja Kepala Sekolah dan Manajemen Rekrutmen Guru terhadap Mutu Pendidikan SD Swasta Se-Kecamatan Kayuagung
Authors: Abriyanto Heru , Putra Alhadi Yan , Nugroho Hery Setiyo
Published: September 2024

Penelitian ini bertujuan untuk mengetahui dan mengidentifikasi pengaruh kinerja kepala sekolah dan manajemen rekrutmen guru terhadap mutu pendidikan pada sekolah dasar swasta di Kecamatan Kayuagung. Jenis penelitian ini adalah penelitian kuantitatif dengan rancangan penelitian menggunakan rancangan penelitian ex post facto. Sampel dalam penelitian ini sebanyak 83 guru sekolah dasar swasta di Kecamatan Kayuagung. Teknik pengumpulan data menggunakan kuesioner. Teknik analisis data menggunakan teknik analisis deskriptif kuantitatif dan regresi berganda. Hasil penelitian ini menyatakan bahwa terdapat pengaruh yang signifikan secara bersama-sama kinerja kepala sekolah dan manajemen rekrutmen guru terhadap mutu pendidikan pada sekolah dasar swasta di Kecamatan Kayuagung. Sekolah dasar swasta memiliki beberapa perbedaan dengan sekolah negeri terutama dalam manajemen yang sangat bergantung pada kinerja kepala sekolah dan guru. Pola rekrutmen guru yang berkinerja tinggi dan efektif akan berdampak pada peningkatan mutu pendidikan sekolah dasar swasta. Oleh karena itu, kepala sekolah harus mampu meningkatkan kinerja dan melaksanakan rekrutmen guru yang efektif agar sekolah dasar swasta dapat mencapai mutu yang diharapkan.