bluuebunny/crossref_metadata_2025 huggingface dataset:
Python-enabled dynamic analysis of earth-moon tidal forces
Authors: Liu Zhi
Published: August 2024

This study investigates the origin of tidal forces within the Earth-Moon system, formulating the corresponding dynamic equations and solving them using Python for computational modeling. This allows for the prediction of tidal intensity at specific locations and times. The methodologies and Python algorithms developed quantify the impact of Earths tidal forces on the Moon, analyzing the deformation and thermal effects caused by tidal force variations across different distances. This framework also elucidates the mechanisms behind Ios volcanic activity. The computational approach, characterized by accuracy and precision, enhances the interpretability of the results through data visualization. This study lays a foundational basis for extending the analysis to other celestial bodies under diverse conditions, contributing to the broader field of celestial mechanics.
Classification of single-cell routine Pap smear images based on deep learning algorithms
Authors: Zhang Guanhao
Published: August 2024

In this study, we classified single-cell routine Pap smear images by applying deep learning algorithms such as AlexNet, VggNet, GoogleNet and MobileNet and compared their classification effects. The results show that the loss of all four models on both the training and test sets shows a trend of gradually decreasing and stabilising. Specifically, the loss of AlexNet gradually decreases from 0.637 to 0.212, VggNet from 0.777 to 0.278, GoogleNet from 1.77 to 0.31, and MobileNet from 0.809 to 0.267. At the same time, MobileNet exhibits the highest maximum and average accuracies which reached 93.9% and 88.3%, respectively, followed by GoogleNet model with 92.9% and 88.0%, AlexNet with 92% and 88.0%, and VggNet with 90.1% and 86.7%. The results show that MobileNet exhibits superior classification results in this task, which provides strong support for its potential application in the classification of single-cell routine Pap smear images. These findings are of great significance for further exploring the application of deep learning in the field of medical imaging and provide a useful reference for future related research.
Optically optimization of thin film light-emitting diodes based on transfer matrix
Authors: Lu Haoze
Published: August 2024

The evolution of white LEDs, both organic and inorganic, has marked a transformative era in lighting technology known as solid-state lighting. This revolution is driven by electroluminescence, where electron-hole pairs recombine to emit light. While OLEDs have achieved high internal quantum efficiency, limited out-coupling efficiency remains a challenge. Improving light out-coupling efficiency is crucial for enhancing LED performance. This paper employs the Transfer Matrix Method to analyze the optical properties of OLEDs and aims to enhance light coupling, efficiency, and overall impact of LED and OLED technologies.
An overview of the development and applications of information entropy
Authors: Huang Yiqi
Published: August 2024

With information entropy gradually taking the lead in modern information theory development, it begins to hold greater influence over multiple research areas as well as technology innovation. This paper aims to clarify peoples confusion with the development of entropy theory and provide a brief overview of the origin of entropy theory, including the original Shannons proposal, variants such as relative entropy and conditional entropy, and entropy concepts proposed by other scientists, such as Rnyi Tsallis entropy. The paper also includes the current application of entropy, studies hotspots, and predicts future entropy development trends. This research paper is able to add more coherence and consistency to information entropys development, helping more people to better understand the concept of entropy and its derivation. At the same time, with hotspots of entropy fields of study, this paper hopes to attract more people to devote themselves to studying entropy-related fields, and boost technological development.
The Rise of Her Economy in the New Media Era: An Innovative Study of Women's Consumption Power and Marketing Strategies
Authors: Zhang Hanqing
Published: August 2024

With the advent of the new media era, the rise of her economy has become a phenomenon that cannot be ignored, and the economic influence of women in the consumer market is also increasing. Starting from the perspective of consumer culture and based on domestic and international research results, this paper explores the behaviours and preferences of female consumers in the digital realm, derives the study of the alienation of female aesthetics and consumption in the consumer society, and grasps the behavioural characteristics of female consumption in general by linking theory to practice, as well as analyzing the effects of marketing strategies on social media platforms to reveal the evolution of the relationship between women, new media and the consumer market. The results of this study demonstrate the key role of new media in shaping women's consumption behaviour and highlight the importance of flexible marketing strategies in effectively engaging the female consumer base. Finally, the article reflects on the negative impact of the media's focus on women's issues in an era of proximity to the female psyche. The study provides practical insights for a deeper understanding of the she-economy phenomenon and for companies wishing to capitalise on the growing power of the female consumer in the digital age. In turn, it promotes socially virtuous consumption and the realisation of a truly equal, respectful and caring consumer market.
Analysis of Problems and Countermeasures in Chinese Stock Market
Authors: Lu Anxin
Published: August 2024

Chinas stock is one of the most popular trading platforms with high global attention, it plays an important role in Chinese economy and global economy. With the rapid development of Chinese economy, Chinas stock market has also achieved significant achievements. It not only provides a vital platform to finance, but also optimize resource allocation. Whats more, it decreases the investors risk of the investment, and makes it is possible for government to carry out macro-economic policies through market stock. it boosts the development of Chinas financial system, and increases the ability of the Chinas financial system to anti-risks. However, there are also some problems existing in Chinese stock market, for example, the less reasonable structure of investors, serious disadvantages in the small and medium-sized GEM market governance, and frequent problems occur in the stock market trading mechanism and exchange system. This paper will as these three problems basis of starting the topic, and put forward countermeasures and strategies, which will have significant role in solving the existing problems efficiently in Chinese stock market.
The applications of artificial intelligence in personalized medicine
Authors: Yang Xinyi
Published: August 2024

Personalized medicine provides advanced diagnostics, customized therapies, and proactive health management, taking into account the distinct genetic and socioeconomic profiles of each patient. The rapid development of contemporary technologies, such as the combination of biology and information technology, has laid a solid foundation for the development of artificial intelligence in the field of personalized medicine. This article primarily explores the application of artificial intelligence (AI) to personalized diagnosis and treatment. Firstly, AI can use big data analysis, machine learning, and especially deep learning to quickly detect early disease indicators from massive medical data to provide patients with more accurate diagnosis and prediction. Secondly, AI can help develop a more personalized treatment plans by analyzing relevant data such as patients' genetic information, lifestyle, and social environment. This article focuses on the technical advantages and current applications of AI in personalized medicine to better understand the known challenges and future potential of the field.
Overview of knowledge graph construction in the field of fully electronic computer interlocking systems
Authors: Li Yangwenjing
Published: August 2024

As a core technology in railway signal control, the fully electronic computer interlocking system achieves the control of railway signals and switches through computerization, ensuring the safety and efficiency of train operations. With the increasing complexity of railway systems, traditional management and maintenance face significant challenges. Knowledge graphs, as an advanced data management and representation method, can effectively organize and utilize large-scale domain knowledge, enhancing the system's intelligence. This paper introduces the construction methods, core concepts, and applications of knowledge graphs in the field of fully electronic computer interlocking systems, providing references for research and practice in this area.
Design and hardware implementation of FIR digital filter
Authors: Li Jiajie
Published: August 2024

This article is about the hardware application of one of the basic filters (FIR filter) often used in digital signal processing. First, it introduces the development process of FIR digital filter and the development of FIR digital filter today, and then introduces FIR digital filter. The part combined with hardware, including the research on the hardware implementation technology of the programmable digital filter based on the emictor, the combination with the memistor and the combination with the programmable logic device FPGA is the second most typical research on the combination of digital signal processing technology and hardware in recent years, which respectively describes its main realisation. The combination of FIR digital filter and different hardware methods also has different advantages, but in general, compared with its separate development, the combination of hardware and it has more advantages.
Design optimization of trusses based on structural mechanics mechanisms
Authors: Feng Junsong
Published: August 2024

In the process of truss optimization design, reducing the amount of material, improving the safety and realizing the optimal performance of the structure have become the important design themes. Starting from the basic force mechanism of structural mechanics, this paper analyzes the volume of materials required to make the design of truss with the most sparing materials through design optimization given the relevant bridge topics. Finally, based on the design results, this paper further optimizes the truss. The internal forces of the truss in a given situation are analyzed using structural mechanics, and a set of optimization methods for the truss is proposed based on the results of the analysis. This paper concludes that the optimization of truss is divided into overall optimization and detail optimization, and this optimization method is easier and more operable in designing and optimizing trusses, and the optimized truss requires less material consumption, which avoids the waste of material, reduces the cost of the project, and is more in line with the concept of high-performance design.
Application and investigation of knowledge graph in biomedical field
Authors: Zhan Boyi
Published: August 2024

A large amount of drug and disease research knowledge is scattered in unstructured literature data, presenting significant challenges in text mining within the field of biomedicine. These challenges include handling professional knowledge, integrating related knowledge, and disambiguating different meanings of the same words. Therefore, constructing a biomedical knowledge graph can significantly save expert human resources and make efficient use of medical literature resources. This review paper aims to summarize the construction methods used during the development of Biomedical Knowledge Graphs. It also outlines the latest models and frameworks, such as BioBERT and LSTM+CRF, highlighting their contributions and applications. In addition, this paper points out the limitations of current biomedical knowledge graphs, such as scalability issues and the need for large annotated datasets. To address these limitations, it proposes the use of Apache Spark for improved processing capabilities and transfer learning to enhance model performance and adaptability in diverse biomedical contexts.
Research on the precise recognition stage of cerebral microhemorrhage based on deep learning algorithm
Authors: Lv Pin
Published: August 2024

Cerebral microbleeds (CMB) is an important type of cerebral microbleeds. In recent years, many studies have proved that CMB can not only cause vascular dementia, but also increase the risk of stroke. Therefore, detection of CMB is of great clinical significance for balancing antithrombotic therapy and risk assessment in stroke patients, and detection of CMB is of great value for diagnosis and prognosis of cranial injury. This paper mainly proposes a two-stage CMB detection framework based on deep learning, which includes the screening stage of brain microhemorrhagic candidate points and the recognition stage of brain microhemorrhagic points based on deep learning. Firstly, in the first stage, we screened CMB candidate points by combining rapid radial transformation and threshold segmentation, and excluded a large number of background regions and obvious non-CMB regions. Then, in the second stage, the two-channel images spliced by sensitivity weighted imaging (SWI) and phase diagram (Pha) were used for false positive judgment by 3D convolutional neural network to distinguish the true CMB from the CMB analog.
Real-time data warehousing in the big data environment: A comprehensive review of implementation in the internet industry
Authors: Qu Jiachen , Wang Jingtong
Published: August 2024

A real-time data warehouse is a crucial tool for information management and analysis, enabling the capture, processing, and analysis of vast amounts of data from diverse sources in real-time. It offers enterprises enhanced decision support through its efficient processing capabilities and timely data feedback. This paper reviews the technical characteristics and application scenarios of real-time data warehouses, with a particular focus on the Internet sector. It explores the evolution from traditional data warehouses to modern data lake and lakehouse architectures, emphasizing the advancements in data processing capabilities, including the separation of storage and compute functions. Real-time data warehouses, which enable immediate data processing and feedback, are essential for enterprises requiring up-to-the-minute insights. The study compares the Lambda and Kappa architectures, detailing their strengths and weaknesses in terms of data throughput, latency, and scalability. Innovations such as Apache Hudi and lakehouse architectures offer new opportunities for performance optimization and functional expansion. The emergence of hybrid architectures like HTAP (Hybrid Transactional/Analytical Processing) and HSAP (Hybrid Serving/Analytical Processing) represents a significant advancement in integrating transactional and analytical processing. Future research should focus on the impact of artificial intelligence and machine learning on real-time data warehouses to enhance their analytical and predictive capabilities, reduce complexity, and lower operational costs.
Multi-modal control and position optimization of solar panels
Authors: Lyu Jingshuo
Published: August 2024

This paper investigates the impact of the position of piezoelectric actuators on the vibration control effect of the membrane plane composed of solar sail materials with a given unit area. Firstly, the nonlinear vibration equation of the membrane structure is perfected based on the system equation established by Yifan Lu et al. Then, the modal coupling effect pointed out by Liu Xiang is considered, and the fourth-order modal displacement generated by the piezoelectric actuator in vibration control is derived. Subsequently, the sliding mode controller used in vibration control is designed based on Lyapunov stability theory, and its effectiveness is verified through Simulink simulation. The sliding mode controller is used to calculate the required excitation signal and apply it to the piezoelectric patches. The reverse force is generated through the inverse piezoelectric effect of the patches to actively suppress the vibration of the solar sail. By changing the position and size of each piezoelectric actuator on the solar sail plane, this paper compares the impact of different layout positions on vibration control, and proposes an optimal layout scheme for the position of the piezoelectric patches in terms of control effectiveness.
Analysis of Extracurricular Programs That Affect College Students' Writing and Speaking Skills
Authors: Kim Eun Joo
Published: August 2024

Communication skills such as writing and speaking contribute to learners' satisfaction with school life, academic achievement, and improvement of adaptability. In particular, the extracurricular activities experienced during college affect the acquisition of key qualities necessary for social life. The purpose of this study is to identify the extracurricular programs that affect the writing and speaking ability of college students. To confirm the purpose of this study, data were collected through an online survey conducted from April to May 2022 for current students at 4-year E-University located in Gyeonggi-do. The measurement tool is the Korea-National Survey of Student Engagement (K-NSSE). The Undergraduate Education Satisfaction Survey is a diagnostic tool that can obtain objective information on the quality and performance of undergraduate education by diagnosing undergraduate students' learning participation, learner psychology, high-efficiency program participation, and student performance. For the analysis method, frequency analysis and descriptive statistical analysis were performed. In addition, correlation analysis was performed to examine the validity between variables and to confirm multicollinearity. Finally, multiple regression analysis was performed to verify the influence of the non-examination program on the writing and speaking ability of college students. Results showed that the extracurricular program on the writing ability of college students had an influence in the order of learning mentoring, freshman orientation, professor's research project, and learning community activity. Moreover, the extracurricular program that affected the speaking ability of college students had an influence in the order of learning mentoring, professor's research project, freshman orientation, and learning community activity.
ANDROID MALWARE CLASSIFICATION USING BASIC MACHINE LEARNING METHODS
Authors: Palabaş Tuğba
Published: August 2024

Android malware attacks grow in both sophistication and volume day by day, thus android users are vulnerable to cyber-attacks. Researchers have developed many machine learning techniques to detect, block or mitigate these attacks. However, technological advancements, increase in Android mobile devices and the applications used on these devices, also increase problems in terms of user privacy due to malware. In this study, a comprehensive study is presented on the detection and classification of malicious applications using an up-to-date dataset containing 241 attributes. First, incorrect and missing data are detected and the relevant lines are removed, then normalization-based scaling is performed. After this preprocessing step, the data set is randomly divided into 70% training and 30% testing using hold-out cross validation. Finally, classification is carried out using 6 different machine learning methods: Multilayer Perceptron (MLP), Logistic Regression (LOGR), K-Nearest Neighbor (KNN), Decision Tree Classifier (DTC), Random Forest (RF). The comparison of modeling results demonstrates that RF machine learning technique can achieve the best performance with the level of 97% accuracy and the various other metrics for Android malware detection in real-world Android application sets.
ATMOSFERİK SALINIMLARIN İKLİM DEĞİŞİKLİĞİ ÜZERİNE ETKİLERİNİN DEĞERLENDİRİLMESİ: HATAY İLİ ÖRNEĞİ
Authors: Durgun Emir Cengiz , Zeybekoğlu Utku , Şimşek Oğuz
Published: August 2024

İklim değişikliği ve küresel ısınma neticesinde, azalan yağış ve artan sıcaklık kuraklığın oluşumunu hızlandırmaktadır. Kuraklığın zamansal ve mekansal değerlendirilmesi, kuraklığın neden olacağı olumsuzlukların yaşanmasını veya etkilerinin azaltılmasına katkı sağlamaktadır. Bu çalışmada, Türkiye’nin güneyinde Suriye sınırında bulunan Hatay il sınırları içerisinde bulunan dört farklı meteoroloji gözlem istasyonunda 1970-2022 yılları arasındaki yağış ve SYİ yöntemiyle hesaplanan meteorolojik kuraklık indis değerlerinin zamansal ve mekansal değişimi değerlendirilmiştir. Ayrıca, bu iki parametrenin Kuzey Atlantik Salınımı (KAS), Arktik Salınımı (AS), Akdeniz 1 Salınımı (AKS1) ve Akdeniz 2 Salınımı (AKS2) ile olan ilişkisi belirlenmiştir. Kuraklığın değerlendirilmesinde Standartlaştırılmış Yağış İndeksi (SYİ), parametrelerin trendinin belirlenmesinde ise Mann-Kendall (MK) ve Spearman Rho (SR) yöntemleri kullanılmıştır. Çalışma sonucunda, 12 aylık SYİ indis değerlerinde sadece Antakya istasyonunda kuraklık oluşum oranı %50’den büyük olmuştur. En şiddetli kuraklık Antakya istasyonunda 1989 yılında, İskenderun istasyonunda 1972 yılında, Dörtyol ve Samandağ istasyonlarında ise 2022 yılında yaşanmıştır. Çalışma bölgesinde “Hafif Kurak” ve “Hafif Yağışlı” kuraklık sınıflarının oluşma oranı diğer kuraklık sınıflarından daha büyüktür. İncelenen istasyonlar arasında sadece İskenderun istasyonunda, MK ve SR yöntemlerinde istatiksel olarak artan trend belirlenmiştir. Dörtyol istasyonunda elde edilen yağış ve SYİ değerleriyle atmosferik salınımlar arasında negatif korelasyon bulunmuştur. Yıllık kuraklıklarda AS ve KAS ile tüm istasyonlar arasında negatif ilişki görülmektedir. Sonuç olarak, mekansal değerlendirmelerden gelecek yıllarda İskenderun istasyonunun bulunduğu bölgenin taşkın veya sel açısından büyük riskler taşıdığı, çalışma bölgesinin güney kesiminin ise kuraklık açısından daha riskli olduğu tespit edilmiştir. Bölgede, yağış ve kuraklıkta meydana gelen değişimin incelenen salınımlarla ilişkisinin zayıf olduğu belirlenmiştir.
Стационарные состояния электрона в вытянутой сфероидальной квантовой точке
Authors:   Ереванский государственный университет, Ереван, Армения, Айрапетян М. В. , Мурадян А. Ж. ,   Ереванский государственный университет, Ереван, Армения
Published: August 2024

Рассмотрены стационарные состояния электрона в наноразмерной полупроводниковой квантовой точке сфероидальной формы глубокого задерживающего потенциала. Дискретный энергетический спектр и соответствующие волновые функции очень чувствительны к удлинению сфероида, особенно в области высоких значений эксцентриситета. Основное внимание в работе уделено выявлению закономерностей радиально-углового распределения волновых функций электронов, которые должны играть важную роль в угловом распределении фотонов, излучаемых квантовой точкой. The stationary states of an electron in a nanosized semiconductor quantum dot of spheroidal shape with a deep confining potential are considered. The discrete energy spectrum and corresponding wave functions are very sensitive to the elongation especially in the region of high eccentricity values. The main attention in the work is paid to identifying the patterns of the radial-angular distribution of electron wave functions, which should play an important role in the angular distribution of photons emitted by a quantum dot.
DENOISING DIFFUSION PROBABILISTIC MODEL WITH WAVELET PACKET TRANSFORM FOR FINGERPRINT GENERATION
Authors: CHEN LI , CHAN YONG
Published: August 2024

The majority of contemporary fingerprint synthesis is based on the Generative Adversarial Network (GAN). Recently, the Denoising Diffusion Probabilistic Model (DDPM) has been demonstrated to be more effective than GAN in numerous scenarios, particularly in terms of diversity and fidelity. This research develops a model based on the enhanced DDPM for fingerprint generation. Specifically, the image is decomposed into sub-images of varying frequency sub-bands through the use of a wavelet packet transform (WPT). This method enables DDPM to operate at a more local and detailed level, thereby accurately obtaining the characteristics of the data. Furthermore, a polynomial noise schedule has been designed to replace the linear noise strategy, which can result in a smoother noise addition process. Experiments based on multiple metrics on the datasets SOCOFing and NIST4 demonstrate that the proposed model is superior to existing models.
Is a Passenger’s Death Onboard the Aircraft an ‘Accident’ Within the Meaning of Article 17 of the Montreal Convention 1999?: An Analysis of the Chinese Case Qatar Airways Group Q.C.S.C. v. Zhao et al.
Authors: Zheng Pai
Published: August 2024

The meaning of the undefined term ‘accident’ in Article 17(1) of the Montreal Convention 1999 (MC99) has been unclear in Chinese cases for several years. In 2020, for the first time, the appellate court in Qatar Airways Group Q.C.S.C. v. Zhao et al. (‘Zhao’) defined ‘accident’ with the meaning almost the same as the one defined by the US Supreme Court in Air France v. Saks, yet concluded that the passenger’s death onboard the aircraft which was not timely detected by the carrier constituted an Article 17 ‘accident’, and held the carrier liable, even if the death caused by the passenger’s acute heart and respiratory failure was due to natural causes. The Zhao ruling also contains unsatisfactory rationales as reflected in the court’s inconsistent and controversial approaches in identifying the ‘accident’. After explaining the representative practice in other MC99 jurisdictions regarding the meaning of ‘accident’, this article introduces the Zhao case and discusses three unresolved issues pertaining to the Zhao ruling, namely the misidentification of death per se as an ‘accident’, the tendency and ambiguity of identifying the carrier’s omissions as de facto ‘accidents’ and, the flawed application of the Saks test in identifying some usual and expected conditions in normal flight activities as de facto ‘accidents’. It concludes that though the Zhao ruling can serve as an example to show the trend of acknowledging the Saks definition in Chinese practice, the meaning of ‘accident’ in a case regarding passenger death onboard the aircraft remains unsettled.
Judicial Independence on Corporate Risk-taking based on the Quasi-natural Experiment of Province High Court’s Offsite Exchange
Authors: Liu Shuangrui
Published: August 2024

Judicial independence is an important means to strengthen the construction of the legal system, and its economic consequences have attracted much attention. Based on the quasi-natural experiment of judges' cross-regional exchanges in 2013 and using data from listed companies from 2009 to 2016, this paper explores the impact of judicial independence on corporate risk-taking. We find that there is a negative relationship between judicial independence and corporate risk-taking, and this conclusion remains valid after multiple robustness tests. Furthermore, the inhibitory effect of judicial independence on corporate risk-taking is more pronounced in companies with higher analyst pressure, higher retail investor pressure, or the presence of institutional selling. Mechanism analysis shows that judicial independence inhibits corporate risk-taking by increasing the amount of litigation and reducing net profit. These results are consistent with the logic that corporate managers reduce corporate risk-taking to alleviate performance pressure. This study provides a new perspective and strong evidence for the economic consequences of judicial independence.
FORMAÇÃO DE PROFESSORES: COMPONENTE CURRICULAR ENSINO RELIGIOSO
Authors: Mezher Ana Cláudia Freire
Published: August 2024

O presente artigo tem como objetivo analisar e trazer reflexões acerca da Formação de Professores em Ensino Religioso no Brasil, faz-se na tentativa de contextualizar a teoria e a prática do componente curricular com os sentidos e valores culturais, entendidos e percebidos pelos professores. Apresenta-se o embasamento legal da proposta de um novo paradigma para a área, o qual defende que o fenômeno religioso deve ser o objeto de conhecimento do Ensino Religioso a partir das bases epistemológicas das Ciências da Religião, articulando as ciências sociais para um trabalho, coletivo e potencializador, nas escolas em que esses professores estão inseridos, consequentemente refletir positivamente nas comunidades onde as escolas fazem-se presentes. Com a homologação da Base Nacional Comum Curricular-BNCC, foram propostas várias mudanças, além das concepções que orientam os fazeres e as relações pedagógicas no âmbito escolar.
A ECONOMIA CIRCULAR APLICADA AO PROCESSO PRODUTIVO EM UMA FÁBRICA DE PAPELÃO: UM ESTUDO DE CASO NA CIDADE DE MANAUS, NO BRASIL
Authors: Consiglio Hugo Heitor Mourão , Ferreira Márcio Antônio Couto , Riker Joabe Cota
Published: August 2024

O sistema linear está chegando ao limite operacional. A Economia Circular é a única alternativa viável ao modelo, estabelecendo um novo padrão de crescimento econômico alinhado à sustentabilidade. Em meio a essa assertiva nasce uma questão: de que maneira uma indústria de pequeno porte do segmento de embalagens de papelão, pode contribuir para o crescimento econômico, em conformidade ao desenvolvimento ambiental? O objetivo geral foi gerar um diagnóstico sobre a possibilidade da adaptabilidade de uma indústria do ramo de papelão à Economia Circular, identificando oportunidades de aplicação desse tema ao processo produtivo, propondo melhorias focadas na redução de desperdícios e descrevendo os seus benefícios econômicos e ambientais. Realizou-se um Estudo de Caso na Ecocartone da Amazônia Ltda., que explorou oportunidades para aplicar princípios da Economia Circular ao processo produtivo e ao ambiente fabril, com foco no aumento da vida útil do material. Os resultados demonstram que, embora existam limitações estruturais, a empresa pode estimular mudanças culturais, promovendo reutilização, reciclagem e incorporação de resíduos ao meio ambiente. Concluiu-se que a empresa é um exemplo notável de como uma indústria pode contribuir ativamente para os objetivos da Economia Circular.
TATA KELOLA PERUSAHAAN DAN KINERJA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA
Authors: Noviana Dwi Mas'ula  , Aisyah Putri Nabila  , Kemal Reza  , Henny Setyo Lestari
Published: August 2024

Penelitian ini bertujuan untuk menguji pengaruh variabel independen seperti ukuran dewan (board size), independensi dewan (board independence), komite audit (audit committee), ukuran perusahaan (firm size), dan leverage terhadap kinerja perusahaan yang diukur dengan Return on Asset (ROA) pada 42 perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia selama periode 2018-2022. Berdasarkan analisis dan pembahasan yang dilakukan, ditemukan bahwa tidak ada satupun dari variabel independen tersebut yang memiliki pengaruh signifikan terhadap kinerja perusahaan. Ukuran dewan, independensi dewan, komite audit, ukuran perusahaan, dan leverage semuanya tidak menunjukkan hubungan yang signifikan dengan kinerja perusahaan yang diukur melalui ROA. Temuan ini menyiratkan bahwa faktor-faktor tersebut mungkin tidak menjadi determinan utama dalam kinerja perusahaan manufaktur di Indonesia pada periode yang diteliti, sehingga diperlukan penelitian lebih lanjut untuk mengidentifikasi variabel lain yang mungkin lebih berpengaruh.
EDITORIAL
Nuestra experiencia con Crossref
Authors: Elena Ryder
Published: August 2024

Our experience with CrossrefThe DOI or digital object identifier gives scientific publications a specific number used to locate them on the Internet. Crossref is the largest DOI registration agency and provides editors of scientific journals with a monthly record of the number of times an individual has visited the DOI of a work published in the Journal. This visit can measure the impact of the work as a reference for your research, to strengthen your professional knowledge, or to learn about a topic more solidly than that provided by social networks, which are full of information without a scientifically proven basis. This Editorial expresses my experience with Crossref regarding the frequency and number of visits the works published in the Journal identified with DOI have received from 2022 and 2023. In 2022, there were 11,121 visits (926/month), which rose to 13,008 visits in 2023 (1,084/month). The most frequently cited works, identified by Crossref as “top ten,” represented between 20 and 30% of the total, with a frequency of visits of 12 to 165 times. However, 70-80% received at least one visit. The most visited works were Reviews, with the majority (24/162) realized in Venezuela and in Spanish. However, works from other Latin American countries such as Mexico and Peru, in addition to Spain and Asian countries, also received visits within the “top ten”. This leads us to conclude that the Journal has more Spanish-speaking readers, even though the proportion of works in Spanish is lower than those in English. We believe that the inclusion of the DOI in the works can be effective not only to serve as an identifier for the article and to be cited in the bibliography of the publications but also so that any individual can locate a topic firsthand and thus update, transmit knowledge or apply public policies in health or education.
La eficacia de los aceites ozonizados en el tratamiento de pacientes con micosis superficiales.
Authors: Soucre Natalia , Bracho Verónica , Alvarado Primavera , Cavallera Elsy
Published: August 2024

Abstract. Superficial mycoses are one of the main reasons for consulta-tion in the dermatological area. In recent years, the therapeutic effectiveness of ozonated oils in fungal infections has been verified in different countries due to its broad germicidal and antifungal spectrum. The objective is to evaluate the efficacy of the use of ozonated sunflower oil in the treatment of superficial mycoses in patients of the Mycology consultation at the Dermatology Service of the Hospital Vargas de Caracas, Instituto Autonómo de Biomedicina “Dr. Ja-cinto Convit”. A cross-sectional descriptive, experimental study was conducted, where 36 patients diagnosed with superficial mycosis and ten healthy subjects were evaluated. Of the group of 36 patients, 26 were treated with ozonated sun-flower oil (AGO) and ten patients with non-ozonized sunflower oil (AGNO). Ten healthy individuals represented the AGO sensitivity control. The most frequent superficial mycosis evaluated in the AGO group was tinea corporis (31%), fol-lowed by denture stomatitis (23%) and for the AGNO group, tinea pedis (50%). Regarding the etiological agent, an improvement with the AGO treatment of 86% for Candida albicans and 60% for the Trichophyton rubrum complex was evidenced at week eight of treatment. It is concluded that the antifungal effect of AGO is more significant for the genus Candida spp than for dermatophytes, evidencing a total improvement of the lesions with six weeks of treatment.
The effect of regular exercise combined with quantitative nutritional support on immune function indicators such as CD3+, CD4+, CD8+, and nutritional status in dialysis patients.
Authors: Kong Chunfeng , Zhu Changdong
Published: August 2024

Abstract. To study the effect of regular exercise and quantitative nutri-tional support on dialysis patients’ immune function indicators and nutritional status, 100 uremic patients who underwent hemodialysis treatment in our hos-pital from February 2021 to February 2023 were selected as the study subjects. They were divided into a control group (n=50) that received regular exercise and routine nutritional support, and a research group (n=50) that received regular exercise and quantitative nutritional support. This study compared the baseline levels of nutritional indicators such as prealbumin (PA), transferrin (TF), serum albumin (SAB), and hemoglobin (HB); cellular immune indicators such as CD3+, CD4+, and CD8+; as well as humoral immune indicators such as immunoglobulin A (IgA), immunoglobulin G (IgG), and immunoglobulin M (IgM) at enrollment and after three months of intervention. At the time of enrollment, there were no significant differences in nutritional indicators be-tween the two groups of patients (p>0.05), nor in the levels of cellular immune indicators (p>0.05) or humoral immune indicators (p>0.05). After three months of intervention, nutritional indicators such as PA in all patients in the experiment grew (p<0.05), and those in the research group exceeded the con-trol group (p<0.05). Similarly, the levels of CD3+ and other cellular immune indicators and the concentrations of IgA and other humoral immune indicators increased in both groups after three months of intervention (p<0.05). Howev-er, these increases were higher in the research group than in the control group (p<0.05). Regular exercise combined with quantitative nutritional support can effectively improve hemodialysis patients’ nutritional index levels, nutritional status, immune index levels, and immune function.
SCULPTURE AND STAINED GLASS AS A PART OF THE ART MARKET
Authors: Бородкин П.В. , Горбунова Т.В.
Published: August 2024

Выставочные пространства редко проводят масштабные групповые показы работ скульпторов, как следствие, затрудняя анализ общих стилистические тенденций и творческих исканий мастеров. Витраж как авторское произведение, в силу преобладания тиражной продукции и специфики работы дизайн-студий, претерпевает ограничения на авторское творчество. Такие тенденции приводят к тому, что арт-рынок не предоставляет современным художникам возможность заявить о себе через авторское творчество. Сложившаяся ситуация не позволяет полноценно развиваться ни арт рынку, ни авторскому творчеству в России.

Works of sculptors, including small forms, and stained glass are often limited in the possibility of exposure. Exhibition spaces rarely conduct large-scale group shows of works, as а result of which it is difficult to analyze general stylistic trends and creative searches of masters. The stained glass as author's work, due to the predominance of circulation products and the specifics of the work of design studios, undergoes restrictions on author's creativity. Such trends lead to the fact that the art market does not provide modern artists with the opportunity to declare themselves through the author's creativity. The current situation does not allow the full development of either the art market or the author's work in Russia.
Measuring Intercultural Sensitivity of English Language Students at a Higher Education Institution in Indonesia
Authors: Weda Sukardi , Atmowardoyo Haryanto , Samad Iskandar Abdul , Fitriani Siti Sarah , Sakti Andi Elsa Fadhilah
Published: August 2024

This study aims at measuring the intercultural sensitivity of English language students at a higher education institution in Makassar, Indonesia. The participants of the study were the first semester students of the English Literature Study Program from the Faculty of Languages and Literature, Universitas Negeri Makassar, who enrolled in the English Phonology course (N = 73, female = 61 (83.56%) and male = 12 (16.44%). The participants of the study were from the English Phonology course because the participants were from various ethnic group backgrounds. The instrument used for the study was Chen and Starosta’s Intercultural Sensitivity Scale (ISS) to explore the intercultural sensitivity of English language students. The findings reveal that the subjects enjoy interacting with people from different cultures. It was also found that: 1) The participants respected the values of people from different cultures, 2) They felt confident when interacting with people from different cultures, 3) They are pretty sure of themselves in interacting with people from different cultures, 4) They respect the values of people from different cultures, 5) They often give positive responses to their culturally different counterpart during their interaction.
Pre-Service Teachers’ Reflective Practices on Teaching Positive Psychology-Driven English Lessons
Authors: Pomat Nipapat  , Wilang Jeffrey Dawala
Published: August 2024

Positive psychology has flourished in English language education to support students' well-being. This article aims two-fold – to examine how pre-service English teachers integrated positive psychology in their English language lessons and explore their reflective practices after the lesson implementation. Thirteen pre-service teachers were asked to individually prepare a lesson plan to demonstrate how positive psychology and language (English) are integrated. After teaching the lesson to the students, they were told to submit a journal to investigate their reflective practices. The lesson plans were grouped according to themes, while deductive coding was used to analyze the reflective journals. Fives themes were derived from their integrated lesson plans, including positive and negative emotions, negative and positive emotions, individual strengths, and character strengths and weaknesses. Concerning the second aim of the study, higher-order reflective practices were deduced on teaching (i.e., instructional awareness act), students (i.e., student’s knowledge awareness act), and self (i.e., teacher’s feeling awareness act). The findings could help teachers create lesson plans fostering positive emotions in their English classes.
The Integration of Cultural Content in English Textbook When English Rings a Bell for 7th Graders of Junior High School
Authors: Nurlaila Husain  , Hilda Adrin  , Sri Rumiyatiningsih Luwiti
Published: August 2024

This research investigates the culture in the English textbook "When English Rings a Bell" for VII Grade Junior High School, written by Siti Wachidah et al. The present work relied on a content-analyzed documentary study. Furthermore, this research used documentary analysis by categorizing the findings into four types based on theory of Moran (2001) about language learning cultural functions as a tool of content analysis: language for participating in culture, language to describe culture, language to interpret culture, and language to respond to culture. A descriptive analysis was applied to read, identify, and display data by culture. According to the result, all chapters in the book incorporate the four cultural knowing frameworks. Cultural content is used 43 times to refer to description, knowing about; 21 times to refer to cultural participation, knowing how; 19 times to refer to interpretation, knowing why; and 10 times to refer to response, knowing oneself. In conclusion, the textbook is compatible in the cultural context. This is shown by the fact that the textbook uses names, actions, places, and characters from the source culture, i.e., the Indonesian culture.
Subtitusi Tepung Maggot (Hermetia illunces) Dengan Tepung Ikan Untuk Pertumbuhan dan Kelangsungan Hidup Benih Ikan Mas Koi (Cyprinus Carpio Linneaus)
Authors: Doholio Ekowanto , Tuiyo Rully , Lamadi Arafik
Published: August 2024

This study aims to discover the effect of subtitution of maggot flour (Hermetua illunces) with fish flour as animal feed for the growth and survival of Cauliflower Gold Fish (Cyprinus Carpio Linneaus). Moreover, it is also to discover the best percentage of maggot flour as an alternative ingredient to subtitute the fish flour to create impacts on the growth and survival  of Cauliflowe Golf Fish (Cyprinus Carpio Linneaus). In regards to that, thus study was caried put for 35 days during  September-November 2022 at the Fish Seed Center (BBI) Gorontalo City. This using 4 treatments with 3 repetitions: Threatment A (Control) 0% Maggot Flour, Threatment B 10% Maggot Flour, Threatment C 20% Maggot Flour, Threatment D 30% Maggot Flour.bThe result showed that maggot flour subtitution did not have significant impact on the growth and survival of Cauliflower Gold Fish (Cyprinus Carpio Linnaeus).
Pengaruh Penambahan Lawi-Lawi (Caulerpa Sp) terhadap Karakteristik Produk Selai Nanas (Ananas Eomosus)
Authors: Podungge Moh. Jamal H. , Mile Lukman , Yusuf Nikmawatisusanti
Published: August 2024

This research aims to determine the formula and level of panelists' preferences as well as the chemical quality of pineapple jam with the addition of lawi-lawi. The treatment in the research was the addition of lawi-lawi with concentrations of A (75%), B (50%) and C (25%). The organoleptic data obtained was processed using Kruskall Wallis analysis and chemical data using a Simple Completely Randomized Design. Further test results use Duncan's advanced test. The results of the research showed that the pineapple jam formula obtained was by adding different lawsi-lawi: A (75%), B (50%) and C (25%) with the other ingredients used being the same (pineapple 100g, sugar 65g and citric acid 0.2g). Panelists preferred pineapple jam with the addition of 75% lawi-lawi (formula B). Pineapple jam formula A (75% lawi-lawi), has chemical quality characteristics; sugar content 60.20%, viscosity 1875cp, dissolved solids 65.20% and calcium 1.04%. Formula B (50% lawi-lawi) has a sugar content of 57.70%, viscosity of 900cp, soluble solids of 65.61% and calcium of 1.02%. Formula C (25% lawi-lawi) has a sugar content of 51.68, a viscosity of 550cp, soluble solids of 67.13% and calcium of 0.94%. This study shows that pineapple jam with a 75% addition of lawi-lawi (formula A) is most preferred by panelists and has good chemical quality. Overall, the addition of lawi-lawi at various concentrations affects the organoleptic and chemical characteristics of pineapple jam, with the best results at a 75% concentration.
Peran Amandemen UUD 1945 Dalam Memperkuat Sistem Check And Balance
Authors: Herlinanur Nanda , Pangestoeti Wahjoe , Putra Adrian Kurnia Sobana , Rahim Rafidah
Published: August 2024

This research analyzes the impact of the amendments to the 1945 Constitution on the check and balance system in Indonesia. The constitutional amendments were made to adjust and strengthen the country’s legal framework, enhance democracy, and improve government accountability and transparency. This study uses a doctrinal juridical approach, focusing on the analysis of legal norms contained in the 1945 Constitution and relevant legal literature. The research methodology involves the exploration and analysis of primary and secondary legal literature, normative analysis, legal interpretation, and a combination of analyses to produce comprehensive conclusions. The results show that the amendments to the 1945 Constitution successfully strengthened the check and balance system through significant changes in the distribution of power and relationships between state institutions. The People’s Consultative Assembly (MPR) experienced a power reduction, while the House of Representatives (DPR) gained a central role in legislation. The establishment of the Regional Representative Council (DPD) strengthened regional representation. Additionally, the President and Vice President are elected directly by the people with term limits to prevent the concentration of power. The Supreme Court (MA) and the Constitutional Court (MK) were strengthened to maintain judicial independence and uphold law and justice. This research identifies challenges in the implementation of the amendments, including structural and cultural barriers. Recommendations include enhancing political education, strengthening legal institutions, and improving coordination between state institutions. With these amendments, it is hoped that the Indonesian government will become more stable, effective, and efficient in achieving the nation’s goals. The amendments to the 1945 Constitution reflect a commitment to establishing a more democratic and just government with a stronger and more accountable check and balance system.