bluuebunny/crossref_metadata_2025 huggingface dataset:
ANEMIA HEMOLÍTICA AUTOINMUNE SECUNDARIA A INFECCIÓN POR CITOMEGALOVIRUS A PROPÓSITO DE UN CASO
Authors: Parrales Cedeño Dra. Aracelly Patricia , MANNER MARCILLO JESSYCA KARINA , COLCHA GONZÁLEZ RAQUEL ALEXANDRA , MONTOYA MATEO CHRISTIAN DANIEL
Published: February 2025

La anemia hemolítica autoinmune (AHAI) por infección a CMV es un proceso raro en la infancia y más aún en los primeros meses, aunque se han descrito algunos casos en el primer mes de vida.
La AHAI presenta un cuadro clínico heterogéneo caracterizado por presencia de autoanticuerpos contra antígenos que se encuentran en la membrana de los glóbulos rojos del paciente que inducen el acortamiento de su vida media.
La hemólisis puede presentarse en el curso o inmediatamente después de la infección por CMV, clínicamente con anemia grave, esferocitosis, y reticulocitosis.
El tratamiento de elección consiste en prednisona o su equivalente en dosis de 2 mg/kg/día. La respuesta es muy buena en la mayoría de los casos, y la enfermedad remite en semanas o meses.
La dosis se reduce paulatinamente hasta aquélla en que se consiga mantener una cifra de hemoglobina aceptable para la edad del paciente y los efectos secundarios sean mínimos o nulos. La prueba de Coombs directo puede mantenerse positiva durante muchos meses.
Dentro de la participación del médico pediatra, hay que recalcar la importancia de establecer un diagnóstico diferencial cuando tenemos un paciente pediátrico que está cursando con un proceso infeccioso y que secundariamente está produciendo una anemia de tipo hemolítica para poder plantear el tratamiento más adecuado.
SÍNDROME DE POEMS E HIPERTENSION PULMONAR. A PROPÓSITO DE UN CASO Y REVISIÓN DE LITERATURA
Authors: MERA BRAVO GEOVANNY , VILLAREAL PEREZ DANIELLE , JARA ESCOBAR JOSÉ
Published: February 2025

síndrome de POEMS es una patología paraneoplásica de muy baja incidencia, debido a las múltiples manifestaciones que posee, su diagnóstico y tratamiento pueden retrasarse, conllevando a la aparición de múltiples complicaciones. La publicación del presente caso resulta importante ante el subdiagnóstico de la patología, la mejoría clínica de la hipertensión pulmonar tras la administración de sildenafil y la poca información que se encuentra respecto al uso de vasodilatadores pulmonares en pacientes con Síndrome de POEMS e hipertensión pulmonar. Presentamos el caso de una paciente de 60 años de edad en quien tras un exhaustivo seguimiento se detecta síndrome de POEMS asociado a enfermedad de Castleman y en consecuencia hipertensión pulmonar. Se recomienda la administración temprana de sildenafil en pacientes que sean diagnosticados con hipertensión pulmonar asociado a síndrome de POEMS en quienes se haya descartado patología pulmonar restrictiva e hipertensión pulmonar secundaria a cardiopatía izquierda.
ШЪЫПКЪИШЪ (СТО ИСТИН) В АДЫГСКОЙ ПАРЕМИОЛОГИИ: СТРУКТУРА И ФУНКЦИИ
Authors: Унарокова Р.Б. , Темзокова Р.С.
Published: February 2025

Рассматривается одна из малоизученных жанровых форм адыгского фольклора – шъыпкъишъ (сто истин). Анализируются ее специфические особенности, определяются структура жанра, количественные и качественные показатели. Выделяется два типа истин: односложные формулы с прямой мотивировкой значения и относительно закрытые конструкции, в которых пары противопоставлений связываются смысловым параллелизмом. Устанавливается, что шъыпкъишъ (сто истин) – это паремическая тирада, имеющая цепевидную композицию, состоящую из относительно автономных единиц, связанных друг с другом подхватной (эховой) рифмой.

The article considers one of the little-studied genre forms of Adyghe folklore – one hundred truths, analyzing its specific features. It determines the structure of the genre, quantitative and qualitative indicators. Two types of truths are distinguished: monosyllabic formulas with direct motivation of meaning and relatively closed constructions in which pairs of opposites are connected by semantic parallelism. It is established that one hundred truths is a paremic tirade with a chain-like composition consisting of relatively autonomous units connected with each other by a catching (echo) rhyme.
The Evolution of Advertising Language in the Age of Generative AI: A Sociolinguistic Approach
Authors: Koswara Asep
Published: February 2025

The rapid advancement of generative AI has significantly transformed advertising language, reshaping communication strategies and consumer engagement. This study examines the linguistic shifts introduced by AI-generated advertisements through a sociolinguistic perspective. The research highlights how AI-driven advertising optimizes personalization and efficiency while often lacking the emotional depth and rhetorical nuance of human-crafted content. By comparing traditional and AI-generated advertising discourse, this study identifies emerging linguistic trends and their implications for audience reception and brand authenticity. Additionally, ethical concerns surrounding privacy and manipulation in AI-generated content are explored. The findings suggest that while AI enhances advertising scalability, balancing automation with human creativity remains crucial for maintaining consumer trust and engagement. This research contributes to the broader discourse on digital communication, providing insights into the evolving role of AI in shaping persuasive language.
Proportionate Liability for Breach of Trust under the Civil Liability Act: An Opiate on the Conscience of Trustees
Authors: Conaglen Matthew
Published: February 2025

This article considers the impact that part 4 of the Civil Liability Act 2002 (NSW) may have on the internal workings of the office of trusteeship. It is argued that where more than one trustee has been involved in an imprudent breach of trust that has caused loss, the claims are likely to be apportionable under part 4, with the effect that the trustees are no longer jointly and severally liable for the loss, each being liable severally only, and each liable only for the proportion of the loss for which they are responsible. It is suggested that this conclusion indicates the potential for the statutory regime to operate as something of an opiate on the conscience of trustees, undermining the incentive structures that equitable doctrine traditionally deployed to keep trustees up to their duty.
ANALISIS PELAKSANAAN SISTEM PEMBIAYAAN BAGI HASIL PADA BANK UMUM SYARIAH DI DAERAH ISTIMEWA YOGYAKARTA (Studi atas Bank Muamalat Indonesia dan Bank Syariah Mandiri)
Authors: , S.E., IKIT
Published: February 2025

Dalam pelaksanaan sistem pembiayaan bagi hasil di bank umum syariah (BUS) dengan menggunakan akad mudhârabah dan musyârakah. Untuk mendapatkan pembiayaan dengan skim bagi hasil di bank umum syariah, maka nasabah harus memenuhi prosedur-prosedur yang telah ditentukan oleh perbankan. Terkait dengan permasalahan-permasalahan yang ada didalam pembiayaan bagi hasil di bank umum syariah (BMI dan BSM) di DIY. Untuk mengatasi masalah moral bank umum syariah (BMI dan BSM) menerapkan incentive-compatible constraints dan attribut screening. Sedangkan untuk mengatasi masalah biaya bank umum syariah lebih mengedepankan off-site monitoring setiap bulan, sedangkan on-site monitoring dilakukan setiap tiga bulan sekali atau sesuai dengan kebijakan bank. Untuk mengatasi masalah teknis bank umum syariah (BMI dan BSM) memberikan pelatihan-pelatihan kepada pegawainya terkait dengan operasional bank syariah dan memberikan edukasi kepada nasabah terutama tentang pembuatan laporan keuangan. Untuk membuat pembiayaan bagi hasil menarik, maka bank memberikan nisbah bagi hasil yang bersaing dengan suku bunga bank konvensional. Terkait dengn masalah ineffesiensi di Bank Umum Syariah (BMI dan BSM) di DIY, menjelaskan bahwa pembiayaan bagi hasil itu lebih efisien dibandingkan dengan pembiayaan murabahah meskipun prosentasinya lebih kecil.
PENGARUH PENGUNAAN MEDIA PEMBELAJARAN AUDIO VISUAL TERHADAP MOTIVASI DAN PRESTASI BELAJAR PAI PADA SISWA KELAS VIII SMPN 2 TALANG PADANG KAB. EMPAT LAWANG
Authors: Yulian Peni , Hidayat Muslih
Published: February 2025

Media pembelajaran audio merupakan media yang hanya dapat didengar saja atau media yang memiliki unsur suara. Sedangkan media visual yaitu media yang hanya dapat dilihat saja, tidak mengandung unsur suara sedangkan media pembelajaran audio visual adalah jenis media yang mengandung unsur suara juga mengandung unsur gambar yang dapat dilihat atau diperhatikan, seperti rekaman video, berbagai macam ukuran film, slide suara, dan lain sebagainya. Kemampuan media ini dianggap lebih baik dan lebih menarik, sebab mengandung kedua unsur jenis media yang pertama dan kedua. Dan tujuan media pembelajaran yaitu untuk membantu guru agar proses belajar mengajar lebih efektif dan efisien. Tujuan dari penelitian ini adalah (1) Untuk mengetahui pengaruh penggunaan media pembelajaran audio visual terhadap motivasi dan prestasi belajar PAI pada siswa kelas VIII SMPN 2 Talang Padang. Teknik pengumpulan data dalam penelitian ini adalah angket, dokumentasi, dan observasi. Subjek penelitian sebanyak 31 responden, menggunakan teknik sampel. Pengumpulan data menggunakan instrumen kuesioner untuk mengumpulkan data X dan data Y. Hasil penelitian ini adalah ada pengaruh yang tinggi antara penggunaan media pembelajaran audio visual terhadap peningkatan motivasi dan prestasi belajar PAI pada siswa kelas VIII SMPN 2 Talang Padang. Analisis data yang didapat dari rumus product moment menunjukkan bahwa ada pengaruh antara variabel X dengan variabel Y pada siswa kelas VIII SMPN 2 Talang Padang. Artinya ada pengaruh positif antara penggunaan media pembelajaran audio visual  terhadap peningkatan motivasi dan prestasi belajar PAI siswa Kelas VIII SMPN 2 Talang Padang. Hal ini terbukti karena r xy lebih besar dari pada r tabel (r product moment) yaitu 0.869, yang mana dengan N = 31 diperoleh nilai r pada taraf interval 95%(5%) sebesar 0,355 dan taraf kepercayaan 99% (1%) sebesar 0,456 sehingga hipotesis dapat diterima  atau dibuktikan kebenarannya.
Integrating cultural lean practices with innovations to advance quick changeover for enhanced productivity in compressor manufacturing in Thailand
Authors: Sirikasemsuk Kittiwat , Kiatcharoenpol Tossapol , Luanwiset Darin , Rattanapuchong Pradthana , Leerojanaprapa Kanogkan
Published: February 2025

This study integrated cultural lean practices with innovations to enhance efficiency and streamline quick changeovers in a compressor manufacturing organization. Monthly production of compressor housing components consistently fell short of targets due to excessive changeover times, which averaged 4,733 seconds (approximately 1.31 hours) per model, impacting overall production efficiency. To address this issue, the study combined traditional lean and Single-Minute Exchange of Die (SMED) techniques, such as shifting tasks from internal to external processes, a well-known method for reducing changeover time. In addition, new innovations were introduced, including the development of an M24 T-slot bolt clamp to expedite the setup process and the design of die stoppers to enable rapid and precise die placement. A steel forklift wheel stop was also installed to aid in the proper alignment and positioning of equipment. These improvements resulted in a 61.86% reduction in changeover time, lowering the average time to 1,805 seconds (0.514 hours) per model. The findings emphasized that innovation-driven lean practices not only simplified tasks for workers but also supported their engagement and productivity, contributing to long-term organizational success.
The role of fintech and sustainable practices on financial reporting quality in Jordanian customs clearance companies
Authors: Qahman Ashraf Ibrahim Abdallah , Madi Aziz , Shubailat Omar M , Al-Zaqeba Murad Ali Ahmad , AlOqaily Ahmed Nader
Published: February 2025

This paper examines the effect of FinTech adoption and sustainable practices on financial reporting quality in Jordanian customs clearance companies. It also investigates the moderating roles of regulatory compliance and the culture of innovation. This study used quantitative research to collect data from Jordanian customs clearance companies. Structured questionnaires were used to gather data from employees and management personnel involved in financial reporting. The survey was conducted for three weeks, achieving 142 valid responses through email and social media circulation, surpassing the distribution of 118 questionnaires. Direct and moderating effects were tested using PLS-SEM. The results show the significant effects of both FinTech adoption and sustainable practices on financial reporting quality, with sustainable practices having an even more substantial impact. In addition, regulatory compliance and an innovation-friendly culture moderate the relationship between FinTech and financial reporting quality, calculated based on supplementation as acceptable. This model accounts for 20.1% of the variance in the quality of financial reporting. The increase in FinTech adoption is correlated with higher financial reporting. Sustainable practices remain the key to improving the quality of reporting in the body of Jordanian customs clearance. This study benefits Jordan's policymakers, regulators, and business leaders. Encouraging sustainable practices and a culture of innovation are other steps companies are urged to enhance their financial transparency.
Productivity of four common Kharif field crops in the allies of four tree species
Authors: Mohapatra Subash
Published: February 2025

A trial on agrisilvicultural system was carried out from 1996 to 1998. Four common Kharif field crops like paddy (var. Heera), Green gram (var. K-851), Black gram (var. T-9) and Groundnut (var. Smruti) were grown in the allies of four tree species, viz., Eucalyptus tereticornis, Dalbergia sissoo, Acacia auriculiformis and Gmelina arborea in a slopy barren land. The Mean annual increment of tree growth (height and girth) was maximum in Eucalyptus tereticornis followed by Dalbergia sissoo. The productivity of kharif field crops were invariably maximum under the canopy of Dalbergia sissoo followed by Acacia auriculiformis but lowest yield of above crops were obtained from the inter spaces of Eucalyptus tereticornis.
Studies on variability of growth parameters in Mulberry (Morus spp.) Germplasm
Authors: Rao A. , Tikader A.
Published: February 2025

Three hundred and twenty eight mulberry accessions (Indigenous - 212 and Exotics -116) maintained as dwarf trees at base collection of CSGRC, representing different genetic and geographical origin, were evaluated for different yield contributing parameters to estimate the magnitude of variation. The analysis of variance (ANOVA) indicated that both the seasons and accessions were highly variable and significant. Higher mean values were recorded for leaf characters in exotic accessions, whereas, for shoot characters in indigenous accessions. Highest co-efficient of variation was recorded for total shoot length and leaf yield; and least for moisture content and moisture retention capacity. Significant positive association was observed between leaf yield/plant with number of shoots, length of longest shoot, total shoot length and internodal distance. The promising accessions identified in the study may be utilized for different mulberry crop improvement programmes.
Diversity at top canopy levels in Sardar Sarovar Dam areas in Madhya Pradesh
Authors: Masih S.
Published: February 2025

An area of 2,732 ha. forest land and 12,926 ha. of cultivable and wastelands of 193 villages were surveyed for the enumeration of standing growing stock under different GBH classes (cm) at Top Canopy Level (TCL) in the submergence areas of Sardar Sarovar Dam Project (SSP) in M.P.
As a result of enumeration at TCL in forest areas, a total of 1,49,900 trees under different GBH Classes like 21/30 (1,03,161), 31/45 (14,380), 46/60 (12,083), 61/90 (12,596), 91/120 (5,301), 121/150 (1,518) and over 150 (861) have been recorded. Whereas in 193 submergence village areas about 2,46,306 trees of above GBH Class represents 71,011; 61,544; 51,022; 37,449; 15,161; 6,303; and 3,818 respectively.
The volume m³ has also been calculated as Teak 1,255.45 m³ (1.262/ha.), other Timber species 868.987 m³ (0.873/ha.) in Jhabua Division and 33.60 m³ (0.062/ha.) in Dhar Division and other species 4,436.383 m³ (4.459/ha.) in Jhabua and 4,296.35 m³ (7.926/ha.) in Dhar. Basal area sq.m in per hectare area has been also found out 1.1815 and 1.2134 in Jhabua and Dhar Forest Divisions for all species.
Research on Trajectory Control of Large Aircraft in Wind Shear Based on Mathematical Models
Authors: Hu Ziyao
Published: February 2025

To address the impact of low-altitude wind shear on aircraft flight safety, this paper establishes a real-time low-altitude headwind shear model based on the vortex ring method and an aircraft dynamic model incorporating disturbance wind parameters. The study investigates the effects of wind shear on aircraft and proposes both longitudinal and lateral escape strategies. In the simulation study, vertical and horizontal wind vector fields of wind shear were first simulated, and wind shear vector diagrams were plotted. Then, using the B747-100 aircraft as the research object, a longitudinal escape numerical simulation was conducted at 80 seconds by setting relevant parameters, followed by a lateral escape simulation at 45 seconds. The results indicate that low-altitude wind shear can lead to a decrease in aircraft airspeed, significant changes in pitch angle, and a reduction in flight altitude, thereby increasing the risk of a crash. Additionally, when encountering wind shear, implementing a longitudinal escape strategy (maintaining a 15 pitch angle and full thrust) can effectively recover flight altitude. The lateral escape strategy also successfully allows the aircraft to escape wind shear. This research provides theoretical foundations and technical support for enhancing aviation flight safety.
The Impact of Technology/IT Workplaces on Mental Health Treatment
Authors: Yao Mingjie
Published: February 2025

With the development of information technology, mental health issues among information technology (IT) industry employees have become increasingly prominent and have become a focus of societal concern. However, there is a gap in current research on the mental health challenges faced by IT employees. This study addresses the inadequacies of existing literature on mental health impacts in IT workplaces, which are not comprehensive and have unclear results. Based on the Mental Health in Tech Survey dataset provided by Kaggle, this study employs quantitative research methods to conduct an in-depth analysis of the factors influencing the mental health of IT employees. The research results indicate that various factors in the work environment have a significant impact on employees' mental health. Based on the research findings, targeted improvement strategies and suggestions are proposed, emphasizing gender-sensitive health interventions and public education, to provide a reference for enterprises and policymakers, promote employee mental health, and enhance work efficiency, and drive widespread societal attention to mental health issues.
Stock price prediction based on linear regression
Authors: Zhao Yuqing
Published: February 2025

Stock market price prediction is one of the core subjects in the financial field. With the increase in market complexity and volatility, accurate stock price prediction has important decision-making significance for investors, financial analysts, and related institutions. This paper aims to use a linear regression model to analyze the historical data of Samsung Electronics stock, and then predict its future stock price trend. The research begins with a pre-processing of the original data set, including data cleaning and feature engineering, to remove noise data and select valuable feature variables. Then, a linear regression model was used to build a stock price prediction model, and the prediction effect of the model was evaluated using mean square error (MSE) to measure the accuracy of the forecast results. To further verify the validity of the model, this paper also makes a comparative analysis of the actual stock price and the predicted stock price and reveals the performance of the model in practical application through error analysis. The results show that the linear regression model can reflect the trend change in stock price to a certain extent. However, its prediction accuracy is still affected by many factors, suggesting that more complex models or technologies should be introduced for further optimization in the future.
A Mathematical Approach to Pipa String Vibration and Energy Damping
Authors: Yang Leyi
Published: February 2025

The role of stringed instruments in traditional music is of significant importance, with their vibrational characteristics exerting a direct effect on sound production and timbre alterations. This paper aims to mathematically analyze the vibration of a stringed instrument, such as the pipa, through the microelement method and the Fourier transform, to explore its sound generation mechanism and energy loss. The partial differential equations of the string vibration are derived in the ideal state and transformed into solvable ordinary differential equations using Fourier transform to obtain the analytical solutions for the displacement, velocity and acceleration of the string. In addition, the kinetic and potential energies of the string are investigated and an expression for the total energy in the ideal state is derived, thus demonstrating its periodic variation with time. In order to investigate the effects of air resistance and friction on the energy decay, the damping coefficient is further considered. The results reveal that under ideal conditions, the strings energy fluctuates periodically, whereas with damping, it decays exponentially, thus affecting sound continuity and timbre stability.
Properties and Applications of Pascal's Triangle and Pascal's Pyramid
Authors: Chen Siqi
Published: February 2025

With the increasing application of mathematics in modern society, a deep understanding of mathematical foundational theories becomes particularly important. This paper primarily investigates Pascal's Triangle and its three-dimensional extension, Pascal's Pyramid, and explores their properties and applications. The purpose of the study is to show their applications in different math-related areas, including algebra, probability theory, and combinatorial mathematics through literature review and mathematical modeling. This paper used case and data analysis to explore the relationships between Pascal's Triangle and the Fibonacci sequence, as well as Pascal's Pyramid and the Tribonacci sequence. The results show that Pascal's Triangle not only plays a role in binomial expansion, but also demonstrates its importance in trinomial expansions. This paper also preliminarily explores the generalization of Pascal's Triangle and Pyramid based on ab and abc models. By extending these models, this paper can offer new insights into their potential for advancing theoretical and applied mathematics, suggesting ways for future research in enhancing and applying these mathematical structures.
A review on the application of partial differential equations in atmospheric research
Authors: Ding Dinghao
Published: February 2025

In the last decade, the large amount of chemicals produced by industrial development and human activities has triggered climate problems such as the heat island effect and the greenhouse effect, making climate change a major challenge of global concern. For this reason, it is important to study the atmospheric temperature distribution, especially in application areas such as climate change prediction, weather forecasting and environmental protection. In this paper, we review the theoretical basis and recent progress in modeling and analyzing atmospheric temperature distribution using partial differential equations, discuss the main influencing factors such as solar radiation, surface albedo, convective processes, etc., and illustrate the advantages of the method in impact assessment of complex eventswith examples, which provide a scientific basis for mitigating the climate problems. Therefore, this article will provide a theoretical overview and the latest progress in the simulation and analysis of atmospheric temperature distribution using partial differential equations.
The Impact of Carbon Neutrality on Industrial Structure Upgrading: A Case Study of Xinjiang
Authors: Guo Yunlang
Published: February 2025

This paper takes Xinjiang as a case study to examine the impact of carbon neutrality on industrial structure upgrading from the perspectives of energy consumption structure, technological innovation, environmental regulation, and market demand. It also analyzes the development trends of carbon neutrality and industrial structure upgrading in China. The study shows that the carbon neutrality policy is an important strategy for China's green transformation, promoting the optimization of energy consumption structure and the rapid development of clean energy. Enterprises have increased investment in green innovation, accelerating the transition from a resource-dependent to a technology-driven economy. The government has promoted industrial structure optimization through environmental regulation, driving green production and sustainable regional economic development. The growth of green consumer demand has further accelerated the greening process of the industrial structure. As an important energy base, Xinjiang has made significant progress in clean energy development, industrial structure transformation, and ecological governance. Therefore, studying the impact of carbon neutrality practices on industrial structure upgrading in Xinjiang is of great significance.
Determining Factors of Tuition Fees in Canada
Authors: Chen Xin
Published: February 2025

This paper uses generalized least squares method to analyze cross-sectional data in 2015 to investigates what factors determine the tuition fees in Canada, and which factors contribute more to the increase of tuition fees in Canada. The regression results show that the factors of majors, education level, international/domestic, and regions have a significant effect on Canadian tuition fees, and the factors of majors and international/domestic contribute more than other factors to the increase of tuition fees in Canada.
The Study of LEGOs Market Leadership: A Financial Valuation Model and Strategic Evaluation
Authors: Ma Zixiang
Published: February 2025

In an era where digital entertainment dominates, understanding how traditional toy companies maintain market competitiveness is essential. LEGO, as the worlds leading toy manufacturer, serves as a compelling case study. This paper examines LEGOs market leadership through a financial valuation using the Discounted Cash Flow (DCF) model and a strategic evaluation of its business practices. Using data from LEGOs annual reports, the DCF model estimates LEGOs enterprise value at DKK 392,139 million as of 2023. The strategic evaluation highlights LEGOs unique System of Play, innovative product design, IP collaborations with major franchises, fan engagement and ventures into movies, video games, and theme parks as key drivers of its market dominance. With an estimated value of the LEGO company, the study underscores LEGOs innovation and diversification in achieving success, offering relevant lessons for peer companies.
The Impact of Business Model Disruption on Fast Fashion Industry Chain Management in the Context of Globalization
Authors: Li Jiaxuan
Published: February 2025

Globalization has posed severe challenges to the management of the fast fashion industry chain, but it has also brought opportunities for transformation and upgrading. In the context of globalization, the fast fashion industry faces the combined impacts of increasingly complex supply chain networks, significant cultural differences, rapidly changing consumer demands, and environmental and social responsibility pressures. This background has prompted disruptive changes in the traditional fast fashion business model and triggered a comprehensive innovation in the management of the industrial chain. This paper aims to explore how globalization drives the reshaping of the fast fashion industry chain and the key role of business model innovation in promoting the green transformation of the industry chain. Through literature review, this paper summarizes the main development trends and management pain points of the fast fashion industry in the context of globalization. Research shows that business model innovation is the core driving force for the fast fashion industry to cope with the challenges of globalization. Digital technology-driven supply chain transparency, the implementation of circular economy models, and cross-border collaboration for resource allocation have all paved the way for the sustainable development of the industrial chain. This study provides a new theoretical perspective and practical direction for the fast fashion industry to achieve green transformation in the context of globalization.
Research on Legal Issues of Tort by Generative Artificial Intelligence
Authors: Liu Zexiao
Published: February 2025

With the continuous development of artificial intelligence technology, generative artificial intelligence copyright infringement occurs from time to time. Generative artificial intelligence may infringe on the personality rights and copyright of others. Clarifying the subject of generative AI infringement and the applicable principles of attribution is the basis for handling such cases. Users, research and development, and platforms of generative artificial intelligence may constitute the subject of generative artificial intelligence infringement. Generative AI generated content infringement attribution should be analyzed according to the specifics of the facts. The first thing to consider is the nature of the generated content and the use scenario, the autonomy of the AI, the user's intent, and the developer's design intent. Secondly, relevant laws and regulations should be improved to ensure that technological development is synchronized with legal protection, and a perfect regulatory mechanism should be established to monitor and copyright audit AI generators in real time to reduce the occurrence of infringement incidents. This paper will discuss the attribution of generative AI content infringement through specific case studies and put forward corresponding legal recommendations.
Semi-Supervised Learning with Multiple Imputations on Non-Random Missing Labels
Authors: Lu Jason , Xu Zixi , Xu Huaze , Ma Michael
Published: February 2025

Semi-Supervised Learning (SSL) is implemented when algorithms are trained on both labeled and unlabeled data. This is a very common application of ML as it is unrealistic to obtain a fully labeled dataset. Researchers have tackled three main issues: missing at random (MAR), missing completely at random (MCAR), and missing not at random (MNAR). The MNAR problem is the most challenging of the three as one cannot safely assume that all class distributions are equal. Existing methods, including Class-Aware Imputation (CAI) and Class-Aware Propensity (CAP), mostly overlook the non-randomness in the unlabeled data. This paper proposes two new methods of combining multiple imputation models to achieve higher accuracy and less bias. 1) We use multiple imputation models, create confidence intervals, and apply a threshold to ignore pseudo-labels with low confidence. 2) Our new method, SSL with De-biased Imputations (SSL-DI), aims to reduce bias by filtering out inaccurate data and finding a subset that is accurate and reliable. This subset of the larger dataset could be imputed into another SSL model, which will be less biased. The proposed models have been shown to be effective in both MCAR and MNAR situations, and experimental results show that our methodology outperforms existing methods in terms of classification accuracy and reducing bias.
A Survey of Lattice Cryptography
Authors: Wei Yuchong
Published: February 2025

Lattice cryptography has become one of the focal points in the era of quantum computing development. RSA and ECC, traditional public key cryptosystems, may become insecure in the face of quantum computers. In contrast, lattice cryptography is considered a potential solution for cryptographic security in the quantum computing age due to its inherent mathematical problems that require the use of quantum computers to solve. Moreover, lattice cryptographic algorithms can achieve efficient encryption and decryption processes and support a variety of cryptographic constructions, including encryption, signatures, and fully homomorphic encryption (FHE). With its high efficiency, multifunctionality, and high security, lattice cryptography has applications in various fields such as finance, e-commerce, government agencies, military, and network communications. It has also become one of the top contenders for the post-quantum cryptographic algorithm standards that have been recognized by the National Institute of Standards and Technology (NIST). This paper discusses the main contributions of lattice cryptography to society and its potential future development directions, as well as the challenges it may face and potential solutions. This thesis elaborates on lattice-based cryptography and comprehensively discusses the key technologies of lattice cryptography, its applications, security analysis, performance evaluation, and the latest progress.
Wearable Devices for Asthma Monitoring, Detection, and Management of All Ages: A Scoping Review
Authors: Chen Yiyang , Du Xinchen
Published: February 2025

Asthma is a chronic lung disease, which might affect all ages and has its specific features of narrowing the airways. This kind of narrowing makes it difficult for asthma patients to breathe and therefore might trigger coughing, wheezing, chest tightness, and shortness of breath. Because of these features, asthma patients need to monitor, detect, and manage their asthma all the time, but it was hard to realize for them in the past. Luckily, nowadays, wearable devices have developed quite fast and rapidly, which might effectively fulfill the needs, thus reducing the terrible consequences caused by the sudden onset of asthma. Therefore, there is a need for a scoping review focusing on this topic. This scoping review was completed through 4 databases, including PubMed, IEEE Explore, Scopus, and Web of Science. It includes studies that have free full text and were published from 2010 to 2024, which mainly focused on the deep relation between the wearable devices related sensors or platforms or remote systems and asthma so as to show the present developments and specific outcomes of asthma monitoring, detection, and management. The review eventually included a total of 19 papers filtered from 1081 papers. To sum up, this scoping review reveals that different studies have taken place through using various wearable devices to collect specific parameters, thus detecting, managing, and monitoring asthma patients. All these applications of sensors, platforms, and systems give asthma patients chances to better enjoy their lives.
Research on the Development of Upper Limb Rehabilitation Robot Technology Driven by ECE
Authors: Liu Yefan
Published: February 2025

In the context of the continuous deepening of social aging, an increasing number of patients are suffering from upper limb dysfunction, and the rehabilitation treatment for patients' motor ability has become a major concern. This paper commences with the emergence of the upper limb rehabilitation robot and comprehensively summarizes and analyzes the research progress both domestically and internationally. Upper limb rehabilitation robots can be classified into different categories based on diverse classification methods. Based on feedback approaches, they can be divided into a rehabilitation robot system based on machine assistance (RA), a rehabilitation robot system predicated on functional electrical stimulation (FES), and a rehabilitation robot system founded on virtual reality (VR); in accordance with the motion intention recognition method, they can be categorized into rehabilitation robot system relying on electromyographic signals and rehabilitation robot system based on brain-computer interface. By integrating the existing advanced research technologies and addressing the attendant difficulties, this paper envisions the future development of upper limb rehabilitation robot and proffers ideas to facilitate its clinical transformation.
Based on Bayesian Regression and Logistic Regression Model Forecast Logistics Transportation Delay
Authors: Qiu Qixuan
Published: February 2025

In the logistics supply chain transportation, it is inevitable to encounter some unpredictable risks, these risks will greatly affect the accuracy and timeliness of logistics transportation, in order to explore the problem of logistics transport delays, this article uses Bayesian regression and logistic regression to establish a model, by analyzing the relationship between the journey risk and the logistics transport delays, Bayesian regression through Mean Squared Error(MSE) and R carry out a test, logistic regression through Accuracy, Receiver Operating Characteristic Curve (ROC Curve) and Precision-Recall Curve carry out a test. This article mainly analyses some external factors in travel, including the degree of traffic congestion, the degree of weather, the degree of driver behavior, the degree of driver fatigue and other data to determine the degree of risk of logistics transportation, and then according to the risk level and the probability of delay analysis and prediction, and then can be adjusted to reduce the risk of the external factors to reduce the probability of delay, and help logistics and transport system in Southern California, USA even the global logistics industry to build a more efficient logistics supply chain framework.
Adaptive Robust Learning Control for a 6-DOF Robotic Arm with Real-Time Object Detection Using YOLO v10
Authors: Zhao Jiace
Published: February 2025

This paper proposes using the YOLO object detection algorithm to accurately and efficiently detect nuts and screws using a custom-built 6-DOF robotic arm equipped with a gripper and a depth camera running the YOLO v10 object detection model in real-time, addressing the challenges of traditional detection methods in fast-paced production environments. This capability enables subsequent robot control to dynamically adjust actions based on precise component localization. Dynamic control in robotic automation has traditionally depended on model-based approaches, where performance depends on accurate system modeling. However, as systems grow more complex, precise modeling becomes increasingly challenging, often leading to suboptimal control. To address these limitations, we propose an Adaptive Robust Learning (ARL) Control algorithm. By integrating a Disturbance Observer (DOB) within the ILC framework, the ARL Control algorithm enhances adaptability and robustness, compensating for real-time disturbances. This work highlights the potential of combining advanced control algorithms with state-of-the-art visual recognition in robotics, paving the way for robust learning solutions in dynamic environments.
Inteligência artificial utilizada na auditoria de recursos públicos destinados para alimentação escolar
Authors: Silva Renata Salles , Junior Wilson de Souza Melo , Santos Ana Gleice da Silva , Prado Charles Bezerra do
Published: February 2025

A implementação da Inteligência Artificial (IA) na auditoria pública é crucial para modernizar os processos administrativos, especialmente no combate à corrupção. A IA permite analisar eficientemente grandes conjuntos de dados, identificando padrões e anomalias que frequentemente escapam à detecção humana. A pesquisa aborda a eficiência e benefícios das ferramentas de IA, como Operação Serenata de Amor (OSA), Análise de Licitações, Editais (ALICE), Querido Diário, Ferramenta Argus, Guided Risk Assessment per Assistant (GRAA), EY Blockchain Analyzer e PwC Cash.ai, na auditoria de recursos públicos destinados à alimentação escolar. A corrupção nesse contexto, identificada pela Controladoria-Geral da União (CGU), revela desvios significativos de recursos. A revisão da literatura destaca a eficácia da IA na redução de erros humanos, garantindo uma abordagem objetiva e consistente na auditoria. As ferramentas, como OSA, ALICE, Querido Diário, Argus, GRAA, EY Blockchain Analyzer e PwC Cash.ai, desempenham papéis cruciais na auditoria, contribuindo para transparência, prevenção de fraudes e eficácia na gestão de recursos destinados à alimentação escolar. Em conclusão, a implementação da IA na auditoria de recursos públicos, especialmente na alimentação escolar, traz inúmeros benefícios, promovendo uma administração mais responsável e transparente dos recursos públicos.
O Chile “na” Amazônia Rondoniense: arpilleras e arpilleros, histórias, tramas e experiências no âmbito do Programa de Iniciação à Docência - PIBID
Authors: Pesovento Adriane
Published: February 2025

O presente estudo tem como foco a reflexão sobre histórias de migrações a partir da década de 1970, narradas e (re)escritas por estudantes de Licenciatura em História e em Educação do Campo, da Universidade Federal de Rondônia, também entrecortadas pelas memórias de uma docente do ensino superior. Deriva de um projeto de pesquisa-participante, tem como escopo a dialética presente no pensar-realizar-pensar no decorrer das atividades empreendidas junto ao subprojeto do Programa de Iniciação à Docência da Universidade Federal de Rondônia, edição 2022. Ao passo que os (as) bolsistas estudavam, liam, ouviam canções e realizavam “bordados” inspirados na técnica das arpilleras chilenas. As histórias foram aquelas emergidas das experiências próprias e de seus ancestrais (pais, avós, e outros parentes). No entrelace dos fios das memórias foram alinhavando narrativas e depositando-as nos tecidos e com eles iniciando-se em uma entre tantas possibilidades para ensinar e pensar a história.  Adotou-se pressupostos teóricos Freire (1997) e Rama (2015). Optou-se também pela escrita das experiências e vivências passadas da autora, entrecortadas e associadas as resistências das mulheres chilenas no período da ditadura do General Pinochet e uma mulher brasileira (catarinense) fez do bordado seu sustento, sua luz e beleza que a dor do excesso transformou em insanidade temporária.
Improving the procedures for concluding transfer pricing agreements in Russia and Kazakhstan: a comparative-legal analysis
Authors:   Ural State Law University, Belykh V.S. , Stadnik T.V. ,   Ural State Law University
Published: February 2025

The article provides a comparative analysis of the procedure for considering and concluding transfer pricing agreements in the countries of the Organization for Economic Cooperation and Development, the Russian Federation and the Republic of Kazakhstan. The issues of determining the parties to the transfer pricing agreement, introducing amendments and additions to them, the timing of the final decision on the application of entrepreneurs to conclude an agreement, as well as the list of documents required for its signing are to be investigated. The discussions of civil scientists regarding the interpretation of the nature of agreements on pricing, namely, referring them to one of the types of tax control or to a contractual form of regulation of relations in the field of taxation have been studied and reflected. The positive and negative aspects of transfer pricing agreements for the state and business have been identified. It is noted that pricing agreements can help achieve a balance of public and private interests, neutralize the negative aspects of the use of transfer prices, including reducing numerous disputes and litigation between entrepreneurs and government agencies. Proposals were made to amend and supplement the legislation on transfer pricing in Russia and Kazakhstan in terms of improving the procedure for concluding transfer pricing agreements for tax purposes.
Analysis of the Subtitle Translation of The Curious Case of Benjamin Button from the Perspective of Reception Theory
Authors: Yan Jinyi
Published: February 2025

In today's society, films play a significant part in promoting culture between China and other countries. Films at home and abroad are constantly introduced, and the increasing demand for film subtitle translation also promotes the relevant research on film subtitles. Different from the previous literary theories that pay attention to the author and the text, reception theory, as a kind of reader response theory, emphasizes readers' interpretation and acceptance of literary texts as well as provides a new research perspective for literary scholars. However, with time going by, more and more scholars begin to pay attention to the application value of this theory to subtitle translation. This thesis mainly studies the subtitle translation of the Oscar-winning film The Curious Case of Benjamin Button from the perspective of reception theory. Starting from the various elements of this movie, including life and death, eternity, loneliness, love and friendship, this thesis analyzes how the subtitle translator can meet the expectation horizon of the audience, shorten the aesthetic distance between the audience and the film and help the audience to achieve fusion of horizon. The main content of this thesis consists of three chapters. The first chapter introduces the subtitle translation and The Curious Case of Benjamin Button. The second chapter introduces the reception theory and the third chapter analyzes the subtitle translation in The Curious Case of Benjamin Button from the perspective of reception theory. The innovation of this thesis is to combine the theory of reception aesthetics with the subtitles of The Curious Case of Benjamin Button to analyze the corpus and translation skills used in the film. Finally, the author concludes that when translating film subtitles, the translator should fully consider the audiences' cultural habits and aesthetic preferences, respect the audiences' central position and vision of expectation, so that the film subtitles can be easily accepted by the target language audience.
Analysis of th ‘Brand Management' Course Ideological Construction
Authors: Li Biqing , Zheng Shiyong
Published: February 2025

Taking the Brand Management course as the research object, this paper explores the necessity and path innovation of the course's Civic and Political construction. From the three dimensions of excavating the current situation of brand management course civic politics construction, dissecting the current problems of the ‘Brand Management’ course, and solutions, it analyses how to deeply integrate socialist core values, professional ethics education and brand management professional knowledge, and help students' all-round development. Through case teaching, scenario simulation and other diversified teaching practices, this paper summarises the implementation strategy of course civics, which provides new ideas and reference experiences for the construction of course civics in universities.