bluuebunny/crossref_metadata_2025 huggingface dataset:
Coupling coagulation-flocculation-sedimentation with adsorption on biosorbent (Corncob) for the removal of textile dyes from aqueous solutions
Authors: Rahmoun Hadj Boumedien , Boumediene Maamar , Ghenim Abderrahmane Nekkache , Silva Eduardo Ferreira da , Labrincha João
Published: December 2024

This study evaluated the efficacy of combining the coagulation-flocculation-sedimentation (CFS) process with adsorption onto corncob biosorbent for the removal of textile dyes from aqueous solutions. The synthetic dyes tested were Bemacron Blue RS 01 (BB-RS01), a disperse dye, and Bemacid Marine N-5R (BM-N5R), an acid dye. Aluminum sulfate (Al₂ (SO₄)₃·18H₂O) was used as the coagulant, followed by superfloc 8396 as the flocculant. During coagulation, optimal parameters included coagulant doses (50-600 mg/L), flocculant doses (30-125 mg/L), and pH (2-11). For the adsorption phase, factors such as pH (2-11), temperature (25-45°C), contact time (0-480 min), and initial dye concentration (15-100 mg/L) were investigated. The corncob was characterized using FTIR, SEM, and pHpzc. Both Langmuir and Freundlich isotherm models were applied, with the Langmuir model demonstrating the best fit (0.92 < R² < 0.96). The CFS process achieved dye removal rates of 95.1% for BB-RS01 at pH 8 and 92.3% for BM-N5R at pH 6.5. Adsorption efficiency varied with solution pH, yielding removal rates of 26.19% for BB-RS01 at pH 6 and 7.69% for BM-N5R at pH 4. Maximum adsorption capacities were 99.5 mg/g for BB-RS01 and 46.08 mg/g for BM-N5R. This study demonstrates the effectiveness of coupling CFS with corncob adsorption for economical dye removal, utilizing agricultural waste as a biosorbent.
Triharmonic Legendre curves on Lorentzian Heisenberg Space
Authors: Hendi Hichem El , Belarbi Mansour , Djellouli Mohammed
Published: December 2024

This paper investigates triharmonic Legendre curves in the context of Lorentzian Heisenberg space (H3,g), a framework that merges concepts from differential geometry and theoretical physics. Triharmonic curves, defined by their stationarity with respect to the first variation of the energy functional, offer rich geometric properties. We derive the fundamental equations governing these curves and explore their behavior under the unique curvature of Lorentzian Heisenberg space (H3,g). The study reveals how the interplay between the curve’s triharmonic nature and the space’s Lorentzian structure leads to distinctive geometric features, including relativity and geometric modeling. The findings enhance the understanding of how triharmonic curves behave in complex geometrical settings, contributing to the broader discourse on the significance of curvature in higher-dimensional spaces. This research opens avenues for further exploration of triharmonic properties in other geometric framework.
Growth and characterization of Indium Tin Oxide (ITO) thin films deposited on KBr(h00) single crystal substrate
Authors: Bensaddek Ali , Bouhdjer Adel , Sahnoune Derradji , Bouheroum Sofiane , Bouhdjer Lazhar , Tamerabet Monsaf
Published: December 2024

Filmes finos de óxido de índio e estanho (ITO) foram depositados em um substrato monocristalino de KBr (h00) usando a técnica de spray ultrassônico a uma temperatura de 300 °C. Além disso, o filme de ITO foi submetido a um recozimento a 700 °C por 1 hora. A análise de difração de raios X indica que os filmes são policristalinos, com orientação preferencial dos grãos ao longo do plano (400), e sua cristalinidade melhora devido à alta temperatura de recozimento. A espectroscopia Raman revela a presença de vibrações de alongamento In–O–In nos filmes recozidos a 700 °C. A análise da morfologia da superfície mostra que os filmes recozidos consistem em aglomerados com tamanhos variando de 300 a 350 nm, enquanto o filme depositado apresenta uma camada densa de ITO com tamanhos de grãos menores que 80 nm. A análise UV-vis confirmou uma transmitância média de aproximadamente 65% na região visível, com a largura de banda óptica variando entre 3,91 e 4,10 eV. Os filmes recozidos a 700 °C exibiram baixa resistividade (0,31 × 10⁻³ Ω cm).
Design and implementation of an integrated sun tracking and autocleaning system for photovoltaic panels
Authors: Djilali Chogueur , Said Bentouba , Mahmoud Bourouis
Published: December 2024

This paper explores the current research landscape and engineering challenges associated with photovoltaic (PV) systems, with a focus on two critical technologies: sun tracking and self-cleaning mechanisms. Solar panels often suffer from reduced efficiency due to suboptimal orientation and dust accumulation, both of which impede optimal energy generation. To address these issues, an integrated solution is proposed that combines sun tracking for enhanced solar absorption and self-cleaning technologies to maintain panel efficiency. The paper provides a detailed framework for the design and implementation of this dual-purpose system, including hardware components, control algorithms, and energy optimization strategies. Additionally, the proposed system’s performance is evaluated through data analysis, highlighting the potential for increased power output and reduced maintenance costs. This research aims to contribute to the development of more efficient and sustainable solar energy practices, promoting wider adoption of photovoltaic technology in diverse environments.
Uniqueness in an inverse problem for a system of coupled Schrödinger equations with Dirichlet-Neumann boundary Conditions
Authors: Atef Saci
Published: December 2024

When modeling a phenomenon using partial differential equations, the physical/ mechanical/ biological parameters involved are not necessarily well known. However, the resolution of these equations, which is the subject of the direct problem, can only be done if all the data of the system are identified (initial and boundary conditions, coefficients involved in the equations, spatial domain, etc.). If this is not the case, additional information, via experimental measurements for example, is then necessary to determine them. The mathematical notion of an inverse problem consists of the possibility of finding the value of a parameter from partial measurements (localized, for a given time, possibly repeated) on the solution of the system considered. This article concerns the inverse problem of the recovery of two unknown potential coeffcients for a coupled system of two Schrödinger equations, in a bounded domain of  with Dirichlet-Neumann boundary conditions from a Neumann-Dirichlet boundary measurement. We prove uniqueness for this inverse problem under certain convexity hypothesis on the geometry of the interior domain and under weak regularity requirements on the data. Our proof relies on sharp Carleman estimates in (LASIECKA et al., 2004) for Schrödinger equations.
Conservation architectural heritage in Algeria: case of the rehabilitation of El Medersa El Khaldounia
Authors: Arezki El Hadj Mimoune , Youssouf Chalabi , Soufyane Aissaoui
Published: December 2024

Tlemcen is one of the most remarkable cities in the Muslim world, notably for its historical significance and architectural legacy. It also features some of the important significant historical architectural of Islamic civilization found in Algeria. However, accelerated urban shifts have made these buildings appear unsuited to today’s urban life. The Medersa El Khaldounia, one of Tlemcen's most significant historical monuments, showcases an architectural richness that reflects the remarkable artistic and technical achievements of the various dynasties that ruled Tlemcen over the years. Several rehabilitation attempts were made, which led to its restoration but failed to enable its rehabilitation or incorporation into the socio-economic life of the local community. In fact, rehabilitating historical monuments can constitute as an effective and sustainable means to preserve and perpetuate our cultural patrimony while addressing society's economic needs. This work aims to examine the conservation process of heritage buildings in Algeria by focusing on their rehabilitation and incorporation into daily life, as well as on the strategies and procedures put in place to orchestrate these actions.
Beyond the hive: designing an alternative food wax through chemical processes
Authors: Saidi Hemza , Boumezoued Faiza , Taleb Rachid
Published: December 2024

This study focuses on the development and detailed characterization of a synthetic alternative to natural beeswax, tailored specifically for beekeeping applications. Through a systematic experimental approach, a comprehensive comparison was conducted between the properties of the newly developed biomatrix and those of natural beeswax. The investigation emphasized their physicochemical attributes, aiming to assess the feasibility of the synthetic substitute. The findings reveal that this alternative wax, composed of paraffin, soy wax, natural honey, and carefully selected oils, exhibits spectroscopic and thermal properties that closely resemble those of natural beeswax. The synthetic wax demonstrated significant potential, presenting itself as a practical and innovative solution for beekeeping. Beyond its effectiveness, this substitute offers a sustainable and cost-effective alternative, promoting ecological and economic benefits while ensuring the health and productivity of bee colonies. Such a development could represent a meaningful step forward in supporting sustainable apiculture practices.
Evaluating calcium carbonate and sulfate influence on the tuff of Djelfa region (Algeria)
Authors: Boulanouar Azzouzi
Published: December 2024

The topic of this paper is the study of the tuff extracted from the region of Djelfa to be used in the subbase layer of the road. In this research, we try to study the effects of adding carbonate and sulfate on the behavior of the tuff. This research presents a study of the characteristics of 4 types of tuff then to be followed by a set of experiments to examine the effects of adding carbonate and sulfate to the tuff that naturally contains a little carbonate and sulfate to compare them to the tuff which naturally contains a high percentage of carbonate and sulfate. The object of this work is to response to the question about the influence of the carbonate and sulfate on the behavior of the tuff. Direct Shear and Proctor tests were conducted on all mixtures. Results showed that adding carbonate similarly increases the shear resistance of the tuff compared to the Tuff with naturally high percentage of carbonate. Nevertheless, the addition of sulfate has a negative effect on the behavior of the tuff.
Intermolecular interactions of Guanosine/β-Cyclodextrine and Guanosine-hydroxypropyl/β-Cyclodextrin inclusion complexes using DFT calculation
Authors: Hayahem Sakina , Messiad Hanane , Yousfi Tarek , Nouar Leila , Madi Fatiha , Bouhadiba Abdelaziz , Rahim Mohamed
Published: December 2024

In this work the study investigates intermolecular interactions in Guanosine (Guo) into β-cyclodextrin (β-CD) and their derivatives, such as hydroxypropyl-βCD (HPβCD) inclusion complexes using Density Functional Theory including dispersion correction (DFT-D3) method using the following functional, B3LYP/6-31G basis set in both gaz and aqueous phases. These complexes geometries were optimized and the final results were examined and contrasted. The global chemical reactivity descriptors, the Fukui function, and the HOMO and LUMO energies were calculated. The TD-DFT method was used to determine the complexes absorption spectra.To forecast the reactive sites for electrophilic and nucleophilic attack, the molecular electrostatic potential was computed. The interaction bonds were investigated and the formation of conventional hydrogen bonds was detected by AIM analysis. The nature of the interactions was further elucidated using the method of non-covalent   interactions (NCI). This showed that hydrogen bonds and van der Waals interactions contribute significantly to the formation of the inclusion complex. To gain more insight into the absorption and emission energies of the investigated complex, the gap energy (EHOMO-ELUMO) was calculated.
Enhancing natural ventilation in buildings with double-pass inclined solar chimneys: a sustainable solution
Authors: Faouzi Akermi , Amar Dib , Faris Aissaoui , Yousef Belloufi , Rouag Amar , Touafek Khaled , Faiza Khalid
Published: December 2024

Double-pass inclined solar chimneys are innovative structures designed to harness solar energy for natural ventilation in habitats. Unlike traditional chimneys, which rely solely on the buoyancy of warm air for ventilation, double-pass inclined solar chimneys incorporate solar heat to enhance airflow. These chimneys consist of two passageways: an outer transparent cover and an inner absorber plate. The transparent cover allows sunlight to penetrate and heat the absorber plate, which in turn heats the air within the chimney. As the air warms, it rises due to buoyancy, creating a draft that draws cooler air from the habitat below. This process creates a continuous airflow within the chimney, facilitating natural ventilation. The inclined design of these chimneys maximizes solar exposure throughout the day, optimizing heat absorption and airflow. Additionally, the double-pass conFigureuration enhances thermal efficiency by trapping and utilizing solar heat effectively. By harnessing renewable solar energy, double-pass inclined solar chimneys offer a sustainable solution for ventilating habitats, reducing reliance on mechanical ventilation systems and lowering energy consumption.They provide a cost-effective and eco-friendly alternative for maintaining indoor air quality and comfort in various living spaces.
New Lyapunov backstepping control of the mechanical power generated by an induction motor
Authors: Chami Noureddine , Rouabhi Riyadh , Djalab Abdelhakim , Djeriou Salim , Herizi Abdelghafour , Zemmit Abderrahim
Published: December 2024

This paper presents a new Lyapunov backstepping control law (LBC) that makes it possible to control the mechanical power generated by an induction motor (IM), while guaranteeing its robustness and stability. This induction motor is supplied by the stator variables via two converters. One, a mains converter (two-level rectifier), facilitates the control of the direct courant (DC) bus and improves the mains power factor; the other, a motor converter (two-level inverter), enables precise control and optimisation of the energy flow during motor operation. In the first part, we presented the modelling of our motor and its converters. In the second part, we presented the control structure proposed to control and optimise the mechanical energy generated by our motor (speed, torque) to achieve optimum efficiency and transfer quality. The results of the numerical simulations demonstrate the effectiveness of the new Lyapunov control system in achieving these objectives, i.e. mechanical speed outside its references and electromagnetic torque below the nominal torque.
Mechanical effects on the preparation of copper oxide (CuO) and copper (Cu) nanoparticles and their properties
Authors: Daas Amara , Derfouf Semcheddine , Belghar Nourredine , Lakhemissi Touam , Chehhat Abdelmajid , Rebai Billel
Published: December 2024

This study investigates the factors influencing the production of nanoparticles and the precise control over their size and shape, with a focus on optimizing milling time, pause duration, and rotation speed. These parameters must be carefully calibrated to enhance production efficiency and prevent particle aggregation. The research also explores the structural properties of nanostructured copper (Cu) and copper oxide (CuO) powders, which were synthesized using a planetary ball mill under an argon atmosphere. Milling was performed at various time intervals, and to prevent excessive temperature buildup, grinding was paused for 20 minutes after every 10 minutes of milling. The experimental procedure for producing copper- and copper oxide-based nanoparticles spans a time range of 48–72 hours, based on a series of experiments conducted over several years. Characterization techniques, including Scanning Electron Microscopy (SEM), X-ray Diffraction (XRD), and Fourier Transform Infrared Spectroscopy (FT-IR), were employed to analyze the crystallographic, chemical, and dimensional properties of the nanoparticles. SEM provided direct observation of the nanoparticle morphology, while XRD offered insights into their crystal structures and phases. FT-IR analysis was used for structural elucidation. The average nanoparticle sizes were determined to be approximately 20.8 nm for copper and 21.19 nm for copper oxide. Notably, at the nanoscale, the physical properties of these materials exhibited significant differences compared to their macroscopic counterparts.
Multi-index evaluation of drought conditions in Northeastern Algeria using remote sensing tool
Authors: Tebbi Fatima Zohra , Bahloul Ouassila , Nouar Abderezzaq , Belkhir Salim , Akram Sahbi
Published: December 2024

Drought is a complex natural disaster with profound impacts on environmental, social, and economic systems globally. This research investigates drought conditions in the Koudiet Mdaouar Basin, located in northeastern Algeria, through a comprehensive analysis of satellite-derived indicators from 2019 to 2023. Employing advanced remote sensing and GIS-based methodological approaches, the study systematically evaluates vegetation health, thermal stress patterns, and water resource dynamics, with particular focus on the Koudiet Mdaouar reservoir region. The analysis reveals a significant progressive decline in ecological conditions, characterized by deteriorating vegetation cover, intensified thermal stress, and severe water scarcity. These findings not only highlight the region's environmental vulnerability but also demonstrate the intricate interplay between climatic changes and local ecosystem dynamics. The research emphasizes the necessity of developing adaptive water resource policies and underscores the potential of integrated satellite and ground-based observation techniques for more precise local drought assessments, offering critical insights for environmental management and climate resilience strategies.
The non-energy industrial sector: an analysis of Algeria's energy-related CO2 emissions (2006-2021)
Authors: Robei Sarra , Settou Noureddine
Published: December 2024

In 2021, Algeria's CO2 emissions exceeded 178 million tons, reflecting a rise of over 73% in less than 15 years. To fight climate change, this study provides a detailed decomposition analysis of the drivers influencing Algeria's CO2 emissions related to energy use from 2006-2021 using the Logarithmic Mean Divisia Index (LMDI) approach. It emphasizes the non-energy industry sub-sectors, including food and drink products, iron and steel, mechanical, electronic and electric equipment, textiles and clothing, leather, and construction materials, which account for 24.36% of Algeria's total energy consumption. The findings indicate that industrial scale is the main driver influencing the increase in carbon emissions, contributing 26.12 Mt, followed by the emission factor effect at 9 Mt. However, the effects of industrial structure and energy intensity take an important part in reducing emissions, accounting for 14.16 Mt and 4.21 Mt, respectively. The “construction materials” industry was identified as the highest carbon emitter of non-energy industries, followed by “iron and steel, mechanical, electronics, and electric equipment”, and “food products, beverages, and tobacco” industries. Algerian policymakers can use the study's empirical results to develop sustainable energy strategies, particularly in non-energy sector, to enhance the potential for the country reaching its energy and green objectives.
As consequências clínicas do uso de Ozempic no combate à obesidade: uma revisão
Authors: Queiroz Maria Eduarda Diógenes de Freitas , Sousa Milena Nunes Alves de
Published: December 2024

A obesidade é uma doença crônica caracterizada pelo depósito excessivo de gordura, impactando na qualidade de vida e favorecendo o desenvolvimento de diversas outras patologias associadas. O presente estudo tem por objetivo analisar quais as consequências clínicas do uso de Ozempic no combate à obesidade. Trata-se de uma pesquisa de revisão integrativa da literatura com uso dos termos  “Weight Loss”, “Drug-Related Side Effects and Adverse Reactions”, “Semaglutide” associados ao operador booleano “AND” a ser realizado nas bases de dados Biblioteca Virtual em Saúde (BVS) e National Library of Medicine (PUBMED). Foram encontrados 8 artigos no BVS e 8 no PUBMED. Após a aplicação dos filtros, foram analisados 3 artigos em cada uma das respectivas plataformas. Concluiu-se que o uso da semaglutida está associado aos efeitos colaterais em diversos sistemas. A maioria dos efeitos analisados foram de pouca repercussão. Seu uso é considerado seguro, não livre de efeitos adversos, sendo necessário analisar riscos e benefícios.
A RELEVÂNCIA DA MÚSICA NO DESENVOLVIMENTO COGNITIVO NA PRIMEIRA INFÂNCIA
Authors: Araujo Josiane Reis , Gama Adriana Martins , Rodrigues Eder Lino , Ribeiro Gleick Cruz , Silva Ivanil Fernandes da , Oliveira Ismael dos Santos , Ferretto Patricia Boeira , Paulini Rosângela Miao
Published: December 2024

Este estudo investigou de que forma a música contribuiu para o desenvolvimento cognitivo na primeira infância. O objetivo foi analisar as evidências científicas sobre a musicalização como recurso pedagógico e suas implicações no aprendizado de habilidades cognitivas. A metodologia consistiu em uma revisão bibliográfica de caráter qualitativo, baseada em artigos, dissertações e livros publicados entre 2008 e 2024, com enfoque nas contribuições da música para a memória, atenção, linguagem e raciocínio lógico. Os resultados indicaram que a música atuou como estímulo relevante no desenvolvimento de habilidades cognitivas essenciais, favorecendo o aprendizado da linguagem por meio da percepção auditiva e do reconhecimento de padrões sonoros. Também ficou evidente que atividades musicais fortaleceram a memória e estimularam o raciocínio lógico por meio da organização rítmica e melódica. O estudo destacou ainda os desafios para a implementação de práticas de musicalização, como a necessidade de formação de professores e a escassez de recursos materiais, além de lacunas na pesquisa sobre os efeitos a longo prazo. Concluiu-se que a música é um recurso para o desenvolvimento cognitivo na primeira infância, promovendo benefícios que vão além do aprendizado acadêmico e alcançam aspectos sociais e emocionais. No entanto, recomendou-se que futuros estudos aprofundem os impactos de longo prazo e explorem estratégias para ampliar o acesso à musicalização, garantindo que seus benefícios sejam distribuídos.
Analisis Kasus Pelanggaran Etika Bisnis PT Megasari Makmur Pada Produk Obat Nyamuk HIT Berbahaya
Authors: Nadhila Nuraini  , Eliana Ratmawati  , Dinda Vanya Oktaviani  , Mohammad Zein Saleh
Published: December 2024

The mosquito repellent product brand HIT, which is suspected of containing harmful active substances, has become the subject of a business ethics violation by PT Megasari Makmur and is the main focus of this analysis. This study aims to examine the elements that led the company to violate business ethics, the importance of regulations governing the use of chemicals, and the impact of such violations on the company's reputation and consumer trust. Data were obtained through literature review and thematic analysis using a qualitative descriptive approach. The findings indicate that non-compliance with business ethics regulations not only harms consumers but also threatens the company's sustainability. In response, PT Megasari Makmur has recalled the problematic product and is working to improve the formulation to make it safer. This study recommends the importance of transparency and ongoing internal audits to ensure compliance with safety standards and maintain consumer trust in the future.
Dampak dari Pelanggaran Etika Bisnis terhadap Hak Pekerja di PT Alpen Food Industry (AICE)
Authors: Meylia Adillah  , Vidiyana Anggrayni  , Azra Nabila  , Mohamad Zein Saleh
Published: December 2024

This study aims to analyze the impact of violations of business ethics on workers' rights at PT Alpen Food Industry, known as a leading ice cream producer in Southeast Asia. The company faces a number of violations, including inadequate working conditions, inadequate wage payments, excessive working hours, and discrimination against female workers. The study uses a qualitative method with a literature review approach, where data is obtained from various articles, reports, and relevant documents. The results of the study indicate that violations of workers' rights, such as violations of leave rights, unsafe working conditions, gender discrimination, and non-compliance with labor laws, have a significant impact on workers' welfare, the company's reputation, and its business sustainability. The novelty of this study lies in the in-depth analysis of the implications of violations of business ethics on the sustainability of companies in the food industry sector, with the implication that internal policy reform, strengthening law enforcement, and consistent application of business ethics are needed to create a safe, fair, and conducive work environment.
Cross-cultural Marketing: Analysis of Marketing Strategies and Consumer Behavior Under Different Cultural Backgrounds
Authors: Wang Jiayi
Published: December 2024

The marketing strategy and consumption behavior of the intelligent board writing software in the cross-cultural market are deeply discussed. Based on the analysis of market demand and consumption habits under different cultural backgrounds, various effective marketing strategies of cross-cultural market are put forward. First, in order to better meet the needs of users in different regions, the importance of language localization and cultural adaptation is emphasized. Secondly, according to the needs of different brand image and marketing methods under different cultural backgrounds, the brand positioning and market segmentation strategy are discussed, and it is pointed out that there need to be different. Finally, according to the specific measures of increasing the market share and brand influence of intelligent board book software, the selection of online and offline marketing channels is analyzed, combined with the purchasing motivation and use habits of consumers.
A Case Study on The Failed IPO of Xi'an Xintong Pharmaceutical Research Co., Ltd. on The SSE STAR Market
Authors: Cheng Jiayi
Published: December 2024

In order to support the development of innovative enterprises and promote the transformation and upgrading of China's economy, the science and technology innovation board was officially opened on June 13 of 2019, and the first batch of companies were listed on July 22, with a total of 25 companies. China's securities market has entered a stage of reform and development from the approval system to the registration system. The registration system can lower the threshold for enterprises to go public, improve the speed of enterprise listing, and help enterprises quickly obtain capital and resources and expand the scale of enterprises. However, enterprises under the registration system need to pay more attention to corporate governance and information disclosure in order to bear more market risks and regulatory pressures. This paper takes Xi'an Xintong Pharmaceutical Research Co., Ltd. as the research object to explore the reasons behind the failure of its IPO on the Science and Technology Innovation Board, and summarizes the conclusions, which has certain research significance. This paper first uses the literature analysis method to conduct a detailed analysis of the literature related to the Science and Technology Innovation Board and IPO, which provides some theoretical support for the following paper. Then, the basic situation of the case company, the main business, financial data and the motivation for the IPO failure were introduced in detail. Finally, suggestions are given according to the reasons for failure and summarized.
Theoretical Logic, Methodological Path, And Dissemination Implications of Telling the Story of Liaoning Well in Applied Undergraduate Universities
Authors: Song Jian
Published: December 2024

This article focuses on the development of applied education in the context of the new era of education. The theme word is set as applied universities. Based on the characteristics of applied talent cultivation in applied universities, the theme of "Liaoning Story" with regional cultural features is selected to explore the theoretical logic, methodological path, and communication implications of applied universities in telling and telling the story of Liaoning well. In order to provide more meaningful exploration for the cultural connotation construction and image dissemination strategy of applied universities.
The Contrarian Challenges Facing Behavioral Finance
Authors: Guo J.Peter
Published: December 2024

In behavioral finance, the efficiency of markets is questioned due to potential influences of irrational human behavior. This paper investigates how these behaviors conflict with traditional finance theories and summarizes prominent behavioral traits. While there are many more non-rational human foibles than covered in this paper, this paper has presented just three behaviors that are viewed as non-rational. Those that have been presented are sufficient to cast doubt on the validity of our traditional views of finance and financial models. It is unclear at this time whether markets are completely efficient, only partially, or completely inefficient. It is important to ascertain the extent to which markets reflect efficient prices or not. Furthermore, it is possible that markets are generally, but not always, efficient, as many argue. The answer to this conundrum will profoundly affect the extent to which we accept or reject the traditional valuation models.
Medical Data Security in the Context of Big Data
Authors: Li Jingyi
Published: December 2024

With the rapid development of information technology and big data technology, the medical industry is undergoing a profound transformation. Massive medical data shows great potential in clinical diagnosis, personalized treatment, disease prediction, and more. However, medical data contains a large amount of sensitive information, such as patient identities, medical histories, diagnoses, and treatment records. The leakage of this information could pose serious threats to personal privacy. Therefore, this paper uses literature review and comparative analysis to examine research results on medical data security technologies and risk assessments both domestically and internationally, and proposes suggestions and strategies to enhance medical data security. This study shows that although medical data security faces many challenges, advanced technologies and effective measures can significantly improve data security and privacy protection.
Illegal ship identification system based on trajectory similarity measurement
Authors: Wu Enze
Published: December 2024

The Automatic Identification System (AIS) relies on the identification code (MMSI) of a vessel to identify it and records its trajectory data, which is an important technical means for modern maritime management. However, there are some vessels that violate regulations by opening multiple AIS transponders, resulting in multiple location trajectory records for the same vessel. This behavior is difficult to distinguish through traditional means and has a negative impact on the accuracy and effectiveness of maritime management, thereby threatening the safety of navigation. This system uses big data processing tool Spark to efficiently process and analyze large amounts of AIS data and detects the similarity of vessel trajectories to automatically identify the violating vessels that open multiple AIS transponders. In this way, the system not only improves the detection efficiency of violations, but also provides more reliable evidence for maritime management departments to ensure the safety and order of navigation routes.
Navigating through Turbulence: the Influence of COVID-19 and Geopolitical Tensions on International Investment Trends
Authors: Zhu Xiaoyi
Published: December 2024

Contemporarily, the world has experienced significant upheaval marked by two major events, i.e., the COVID-19 pandemic and escalating geopolitical tensions exemplified by the Russia-Ukraine conflict. These crises have profoundly affected social structures, economies, and international relations across the globe. This study examines the profound effects on international investment patterns resulting from these two major crises. Initially, it analyzes the consequences of COVID-19, including the initial outbreak, governmental reactions, and its drastic impacts on the service and tourism sectors. The narrative also covers the stock market's downturn and recovery, along with adjustments in investment strategies due to the pandemic's economic challenges. The second part addresses the geopolitical tensions from the Russia-Ukraine conflict, summarizing its origins, immediate economic impacts on the involved nations, and broader effects on global economic stability. This section also examines shifts in international investment patterns. These results underscore the adaptive measures by investors and policymakers, highlighting the need for resilience and innovation in navigating these global crises.
The Impact of Free Trade Zones on the International Competitiveness of Cross-Border E-Commerce Companies
Authors: Sun Haonan , Zhou Zihao
Published: December 2024

As international e-commerce expands so quickly, cross-border e-commerce (CBEC) is becoming more and more important to China's exports. This study attempts to investigate the effect of free trade zones (FTZs) on the global competitiveness based on the FTZ. A thorough analysis of the ideas surrounding FTZs and CBEC allows for the clarification of the fundamental research framework and the application of both qualitative and quantitative research methods. The development strategy of CBEC is finally presented. After a review of the advantages of FTZ policies (such as expediting the customs clearance process, lowering trade barriers, improving logistics efficiency, etc.) and the disadvantages of CBEC policies (such as increasing market competition, diversifying the international market), and unpredictable regulatory policies: formulate and improve the relevant policies, strengthen the construction of the CBEC service platform, expand the scope of the CBEC comprehensive pilot zone, improve the financial service system, and cultivate the interdisciplinary talents needed for CBEC.
Improved YOLOV7-TINY Network for Sea Bream Detection
Authors: Jiang Linhua , Yang Yuanyuan , Liu Entuo , Hu Lingxi , Xu Jiahao , Chen Lei , Zhang Jintao , Liu Peng , Long Wei
Published: December 2024

Accurate identification of underwater fish species is of great scientific and economic significance in aquaculture, as it can provide scientific basis for aquaculture production and promote related research. However, the complexity of the underwater environment is affected by various factors such as light, water quality, and mutual occlusion of fish species. Therefore, underwater fish images are often not clear enough, which limits the accurate identification of underwater targets. In this paper, an improved YOLOV7-TINY model for sea bream detection is proposed. We employ FasterNet to replace the backbone network of the YOLOV7-TINY model, further reducing model parameters and computational complexity without compromising accuracy. By leveraging cascaded feature fusion in the backbone network, we effectively address the challenges posed by multi-scale datasets and insufficient information extraction. Additionally, the RESNETCBAM attention mechanism is incorporated into the feature maps at three different scales, allowing the network to better capture relevant information from complex underwater environments while minimizing unnecessary interference. Finally, the ECIOU loss function is adopted to optimize frame adjustments and reduce the training time of the model.
Relationship Between Return to Experience and Initial Wage Level in United States
Authors: Ma Ke
Published: December 2024

This paper estimates the relationship between return to experience and ini- tial wage on the basic of the latest dataset NLSY97 in the United States. In general, we will observe the relationship between return to experience and ed- ucational level is positive, while the relationship between return to experience and other unobservable individual abilities is negative when conditioning on educational attainment. In this case, I will divide the sample into four educa- tional groups and three ethnic groups. For each of these subgroups, I will use a linear model to estimate the relationship between initial wages and future wage growth. Also, I link my findings into some related theories to explain the negative relationship.
V2G Grid-Tied Inverter System based on LCL Filter with Control Strategy
Authors: Song Rui
Published: December 2024

Vehicle-to-Grid (V2G) technology has been hotly discussed in recent years because of its broad prospects in load transfer and regulation. This article proposes a grid-connecting inverter system with LCL filter and control strategy for use in electric vehicle (EV) applications. A review of designation of LCL filter’s parameter and mathematic modelling is given in part 2. An explanation of control strategy is given in part 3. Part 4 gives a comparison of active damping and passive damping control strategies with calculated parameters and gives the simulation results based on MATLAB. The results show with parameters calculated with method in article, both strategies have good tracking performance and similar response time. For the critical steady state, passive damping shows higher amplitude of oscillation. This phenomenon gives a new view proof that active damping method is superior than passive damping control strategy. The article is also of some reference value for determining LCL filter’s parameters and proportional, integral coefficient of similar control strategy.
Digital Economy and Agricultural Green Total Factor Productivity: Influencing Mechanism and Empirical Test
Authors: Ren Rui
Published: December 2024

Driven by the rural revitalization strategy, the development of digital economy has brought a new development path for agricultural green total factor productivity. Based on the panel data of 29 provinces and regions in China from 2014 to 2022, this paper systematically discusses the internal mechanism and implementation path of digital economy and green agricultural total factor productivity. The entropy method and super-efficiency SBM model were used to measure China's digital economy level and agricultural green TFP. and a bidirectional fixed effect model was constructed to explore the impact of digital economy on agricultural green TFP. The results show that (1) both China's digital economy and agricultural green TFP present an increasing trend, and the development of digital economy has a significant positive promoting effect on the improvement of agricultural green TFP and this conclusion is consistent in multiple robustness tests. (2) Through the intermediary effect, it is found that digital economy has an effect on agricultural green total factor productivity through labor transfer effect and agricultural industry agglomeration; (3) Heterogeneity analysis shows that digital economy has regional differences in agricultural green total factor productivity, and there is a phenomenon of increasing level from west to central to east; (4) The threshold effect of expansion analysis shows that regional economic development level plays a positive role in improving agricultural green TFP. is a region with higher economic development level, has a correspondingly higher agricultural green TFP. Based on this, it is proposed that a mechanism for agricultural green innovation and promotion should be established, the concept of ecological and green development should be adhered to, and the agriculture should develop in the direction of high digitalization, green ecology and intelligent innovation, so as to promote the high-quality development of China's agriculture.
Economic Implications of Foreign Immigration
Authors: Wang Mitchell
Published: December 2024

Immigrants influence the socio-economic conditions of communities, consistently impacting the economy and the social structure of regions. This study investigates the economic effects of Chinese immigrants in the United States. Using Ordinary Least Squares (OLS) regression models, this study examines the correlation between immigrant inflow and median income and predicts future migrational trends. Two models are employed: one analyzes the relationship between Chinese immigrant inflow and median income, and the other predicts migrational trends by generating a lagged variable. The results demonstrate a positive correlation between immigrant inflow and median income, as well as an upward trend in Chinese immigration, showing the growth in the influence of these individuals on the United States economy.
Under the Background of New Engineering Disciplines Construction and Exploration of The Integration of Industry, Academia and Research and Platform Collaborative Education Model
Authors: Ding Nan , Ya Haijiao
Published: December 2024

In the context of new engineering disciplines, the integration of industry, academia and research and the construction of platform collaborative education mechanisms have developed rapidly in the cooperation between universities and enterprises, and their existing problems have gradually emerged. Analyzed the characteristics of the integration of industry, academia, and research and the platform collaborative education model under the background of new engineering, and pointed out the challenges it currently faces. Explored the construction of the integration of industry, academia, and research and the collaborative education model of platforms, and proposed suggestions for building an education system guided by "production", two-way cooperation between schools and enterprises, implementing a "multi mentor" education model, and building a cloud platform.
A Study on the Application of “Four-Life Maxim and Ten-tion” in Eco-Translatology in the Publicity Translation of Jingchu Culture
Authors: Chen Tao
Published: December 2024

Jingchu culture, as a cultural treasure of the Chinese nation, plays an important role in promoting international cultural exchange and understanding through its external translation. This article focuses on the theory of “Four-Life Maxim and Ten-tion” in Eco-translatology, and explores in depth its application strategies in the external translation of Jingchu culture. The study points out that the "Four-Life Maxim and Ten-tion" theory provides a new perspective and method for the external translation of Jingchu culture by emphasizing life orientation, life acquisition, life conversion and life incarnation. In addition, the specific application of the "Ten-tion " translation method provides diverse translation paths for the external propaganda translation of Jingchu culture, including localization, popularization, innovation, etc., to achieve the optimal translation effect.
Exploring Convolutional Neural Networks: A Study and Investigation Based on Face Recognition
Authors: Li Ruicheng
Published: December 2024

Machine learning (ML) is profoundly transforming decision-making processes across a range of industries, simultaneously presenting challenges to existing labor markets and facilitating significant technological and innovative advancements. This paper undertakes a thorough exploration of the broad societal implications of ML and its pivotal contributions towards achieving sustainable development goals. It provides an in-depth examination of the foundational theories underpinning machine learning and presents a detailed taxonomy of ML algorithms, with a particular emphasis on the roles of convolutional and pooling layers in deep learning models utilized for image recognition tasks. Through rigorous evaluative analyses of various models, this study offers valuable insights into the comparative efficacy of these models. Specifically, the FaceRecognition model is highlighted for its superior accuracy, reduced latency, and enhanced throughput in face recognition tasks, outperforming established benchmarks. However, the study also identifies a notable deficiency in the model’s capability for object classification. Recommendations are made for reducing the complexity of models while simultaneously increasing their diversity, aiming to enhance overall performance. Furthermore, the paper underscores the significant impact these technologies on societal decision-making processes, emphasizing the need for careful consideration of both the potential benefits and the ethical implications associated with machine learning deployment.
Persistent Racial Disparities in US Infant Mortality, 1995-2017
Authors: Wang Tianwen
Published: December 2024

In the United States, black babies are significantly more likely to die at birth than white babies. In order to determine the relationship between the risk of neonatal death and race, this research conduct a national-based study of 89.7 million live singleton births between 1995 and 2017. We assessed whether the racial/ethnic disparity in infant mortality narrowed, persisted, or widened over these years, which coincides with a period of substantial improvements in neonatal care. Our study contributes to a growing literature on racial disparities in infant mortality.
The Impact of Digital Trade on China's Economic Development
Authors: Zhu Xinhao
Published: December 2024

As an emerging force in modern economy, digital trade is injecting continuous power into the steady growth of China's economy. In recent years, its strong momentum of development has not only become an important driving force for economic growth, but also gradually emerged as a new engine for economic growth. However, while developing rapidly, digital trade also faces some challenges and problems. In order to fully understand and grasp the impact of digital trade on China's economic development, we need to deeply analyze the opportunities and challenges it brings. Accordingly, corresponding countermeasures and suggestions are put forward to ensure the healthy development of digital trade and further promote the prosperity and stability of China's economy.
Investment Strategies Under International Financial Markets Research Paper - Tesla as a Case in Point
Authors: Chen Jianyang
Published: December 2024

Lately, the advancement of energy-efficient energy solutions has emerged as a significant and hopeful trend in the market, aimed at enhancing environmental protection, attaining zero transportation emissions, and diminishing reliance on oil. The electric vehicle (EV) sector is expanding swiftly, driven by robust policy initiatives in several nations, notably China. The year 2022 saw China's electric vehicle sales representing 61.2% of worldwide EV market. Nonetheless, the market's complexity has escalated due to ongoing market growth, technological advancements, and frequent policy shifts. Consequently, forecasting the EV industry's future trajectory and pinpointing projects with enduring investment worth presents a challenge. Nonetheless, this paper investigates Tesla's capacity for sustainable growth as a frontrunner in the industry. The document outlines the prospects and hurdles in the electric vehicle sector, examining its financial success, operational efficiency, solvency, and growth potential as per TESLA's fiscal reports spanning 2020 to 2022. Concurrently, an analysis and comparison were conducted on the financial records of industry giants BYD and SAIC, along with an examination of their prospects and obstacles in China. The primary technique employed in this financial analysis article is ratio analysis, sourced from the company's annual report for computation. Research indicates that Tesla's diverse aspects of financial analysis lead to the conclusion of its potential as a company.