bluuebunny/crossref_metadata_2025 huggingface dataset:
The Global Burden of Influenza: Challenges and Future Directions
Authors: Li Shinghing
Published: February 2025

Influenza remains a significant global health challenge, particularly affecting high-risk groups like the the elderly, pregnant woman, young children, and individuals with underlying health conditions. Its unique characteristics, including rapid growth, high variability, and segmented RNA genome, enable the emergence of new viral subtypes that can evade existing immunity and render vaccines less effective. Surface proteins like hemagglutinin (HA) and neuraminidase (NA) further contribute to its ability to infect host cells and undergo frequent changes. Annually, millions of hospitalizations and numerous deaths are attributed to influenza, with complications ranging from mild illnesses to severe conditions like pneumonia. Despite these challenges, vaccines remain a crucial tool in mitigating the impact of influenza by reducing hospitalizations and mortality rates. However, issues such as the inability to fully address viral mutations and delays in vaccine production highlight the need for improved strategies. Advances in vaccine production technologies and continued research into viral subtypes are essential for developing more effective solutions to combat influenza and its widespread impact.
Diagnosis and Treatment of Common Knee Injuries: a Review
Authors: Wang Haodi
Published: February 2025

The knee joint is one of the largest and most complex joints in the human body, and it plays a vital role in normal physiological activities, responsible for weight bearing and the realization of limb flexion and extension. Since the knee joint is in the middle of the lower limb, between the two largest lever arms of the body, it needs to withstand greater pressure in daily activities, which makes the knee joint more susceptible to injury. In recent years, the number of patients suffering from knee injuries has been increasing, prompting the medical community to explore and innovate in the diagnosis and treatment of knee injuries, with a variety of new diagnostic methods and treatments emerging. The purpose of this review is to systematically organize and sort out the current literature related to the diagnosis and treatment of common knee injuries. In this process, we will focus on reviewing and analyzing the diagnosis and treatment of three common knee injuries, namely, patellofemoral joint pain syndrome, meniscus injuries, and anterior cruciate ligament (ACL) injuries, with the aim of providing valuable references and lessons for clinical practice.
Acupuncture and Massage treatment of Lumbar disc Herniation: A review of recent Progress
Authors: He Fuyuan
Published: February 2025

This review explores the recent advancements in treating Lumbar Disc Herniation (LDH) with acupuncture and massage, particularly Tuina. LDH is a prevalent cause of low back pain, affecting most of the population at some point and incurring substantial economic costs. Traditional treatments like medications, physical therapy, and surgery have limitations, prompting interest in alternative therapies. Acupuncture and massage offer non-invasive, holistic options that address both symptoms and underlying imbalances. They stimulate endorphin release and improve circulation, reducing pain and inflammation. Recent studies show these therapies can effectively decrease pain levels and enhance functional capacity. However, research is still evolving, with small-scale and methodologically weak studies limiting definitive conclusions. The integration of technology, such as electroacupuncture, and personalized treatment approaches based on advanced diagnostics are emerging trends. Future research should focus on large-scale randomized controlled trials to establish efficacy and safety and explore optimal treatment combinations. Technological innovations could improve therapy precision and accessibility. Despite challenges, acupuncture and massage hold promise as effective, patient-centered care options for LDH, complementing conventional treatments.
Investigating the Formation of Consciousness Through Transcriptomic Analysis
Authors: Zhu Yutong
Published: February 2025

Consciousness research is one of the most important research in the development of science. People have always been exploring the formation of consciousness and the mechanism of human brain. With the development of consciousness formation research, the complexity of the brain and the elusive nature of consciousness make it challenging to identify the exact neural mechanisms and lead to the limitation and stagnation of research. Transcriptomics has become a powerful tool in the field, providing advanced insights into the molecular mechanisms behind consciousness through comprehensive analysis of the transcriptome. Transcriptomics in the field of consciousness formation research also has some challenges and difficulties that researchers should pay more attention to. This review analyzes the current applications of transcriptomics in consciousness research, and discusses the challenges and future directions. While summarizing the progress of transcriptomics in consciousness research, it also puts forward the prospect and domain of future development, aiming to provide theoretical basis and possible development direction for the application of transcriptomics in consciousness formation research in the future.
Ankle Sprain Rehabilitation in Acute and Subacute Phase
Authors: Xia Xinyang
Published: February 2025

Ankle sprains are a common musculoskeletal injury that not only occurs in athletes but also affects the public across different age groups and activities. These injuries are mainly lateral ankle sprains (LAS), a large part of which are caused by people exercising and overstretching or tearing ligaments. Accurate diagnosis through physical examination and advanced imaging techniques is essential for effective treatment. There are three levels of ankle sprain severity, each of which requires a tailored rehabilitation strategy to minimize recurrence risk. This review explores ankle anatomy, risk factors for sprains, and evidence-based rehabilitation techniques such as proprioceptive training, cryotherapy, and assistive devices (such as tape). The effectiveness of combination therapies such as cryotherapy and ultrasound for accelerating recovery was highlighted, as was the importance of functional rehabilitation, including balance and strength training, for preventing chronic ankle instability (CAI). The importance of rational treatment modalities to achieve optimal rehabilitation and long-term joint health.
The Role and Impact of Gene Editing on Vaccine Development
Authors: Fang Yuan
Published: February 2025

The application of gene editing technology in vaccine development has brought new hope for dealing with emerging and reemerging infectious diseases. Currently, gene editing tools, represented by CRISPR/Cas9, have significantly accelerated the vaccine development process and improved the safety and efficacy of vaccines by virtue of their highly efficient and precise operational characteristics. However, gene editing technology still suffers from off-target effects and high costs, and its wide application in vaccine development has yet to be further explored. This paper analyzed the application of gene editing technology in accelerating the construction of vaccine candidates, improving vaccine safety, and facilitating the design of novel vaccines (e.g., nucleic acid vaccines, viral vector vaccines, and subunit vaccines), and found that gene editing technology reduces the pathogenicity of pathogens by targeting the disease-causing genes, which makes vaccine research and development more efficient and safer. Gene editing provides a more precise and adaptable tool for future vaccine design, which can help to respond to infectious disease outbreaks more rapidly. Despite the limitations of the current technology, future research can further improve the accuracy and cost of gene editing, as well as further explore multivalent vaccine construction and high-throughput screening techniques, which will lead to further breakthroughs in the field of vaccines.
The Robustness Evaluation of Advanced Models in CT Image Segmentation: From Multi-organ to Multi-organ
Authors: Liu Chuhan , Lin Zicheng , Zhao Yang , Shi Jingkun , Li Ruoyi
Published: February 2025

Medical image segmentation models are often tested on the same dataset used for training, which limits real-world applicability. This paper evaluates the robustness of several 3D and 2D models by comparing their performance on BTCV and AbdomenCT-1K datasets. The study explores the effects of model architecture, dimensionality, organ characteristics, and dataset differences on robustness through visualizations and various metrics, providing insights and recommendations for improving robustness and generalization.
Progress of research on fire-resistant steel in civil engineering
Authors: Liu Bingrui
Published: February 2025

With advancements in construction technology, steel structures have become increasingly prevalent in industrial and civil buildings due to their lightweight nature, high strength, and excellent seismic resistance. However, the strength and load-bearing capacity of standard structural steel decrease under high temperatures, resulting in potential damage or even collapse of steel structures during fires. Consequently, these structures often require enhancements such as fire-resistant coatings or panels to improve their fire-resistance capacity. Presently, most countries utilize fire-resistant steel construction, which exhibits superior high-temperature mechanical properties compared to ordinary structural steel, thereby enhancing the fire safety of these structures. This paper presents an overview of the global progress in fire-resistant steel research, discusses the high-temperature mechanical properties of fire-resistant steel and the impact of alloying elements, and illustrates its application in building structural frameworks, fire-resistant compartments, and bridge projects. The information provided herein aims to contribute valuable references for civil engineering practices and future research.
Analysis of Flow in Emotionally-oriented Games
Authors: Zeng Ziyu
Published: February 2025

This paper explores the role of flow theory in emotionally-oriented games, and analyzes its impact on game design and user experience. According to flow theory, players enter a state of flow during play, marked by control, emotional depth, skill challenge, clear goals, and immediate feedback. The study designed a hypothetical game, Tidal Emotional Chaos, to induce flow through empathy and mechanics. Due to the early design phase, data was collected through a questionnaire of the player's expected flow effects. The results show that players often experience flow in emotional games, especially immersion and skill challenges. However, some reports lack immediate feedback and self-awareness, indicating the need for improved design. Emotional resonance and storytelling are popular, but user interfaces and feedback can be more effective. In conclusion, while emotionally oriented games are effective at providing flow and emotional experiences, there is still room for improvement, especially in terms of immediate feedback and user interface design, to further improve the gaming experience for players.
A Review of Deepfake Detection Techniques
Authors: Chen Junyi , Yang Minghao , Yuan Kaishen
Published: February 2025

With the development of deepfake technology, the use of this technology to forge videos and images has caused serious privacy and legal problems in society. In order to solve these problems, deepfake detection is required. In this paper, the generation and detection techniques of deepfakes in recent years are studied. First, the principles of deepfake generation technology are briefly introduced, including Generative Adversarial Networks (GAN) based and autoencoder. Then, this paper focuses on the detection techniques of deepfakes, classifies them based on the principles of each method, and summarizes the advantages and limitations of each method. At the end of the paper, several key points for the future development of deepfake detection technology are proposed: enhancing the generalization ability and robustness of deepfake detection methods, developing active defensive algorithms and multimodal fusion detection, establishing research communities and data sharing platforms, and improving social legislation and judicial education. This paper argues that the future deepfake detection algorithm will be more accurate, which can further maintain the authenticity of network information and social stability.
An Overview of Privacy-preserving Technologies in Blockchain
Authors: Ding Yuxin
Published: February 2025

Blockchain technology, with its decentralization as well as tamper-proof characteristics, has achieved wide application in major fields in recent years. However, because of the potential of privacy leakage that comes with its transparency, privacy protection technology has emerged as a key area of current blockchain research. The first step involves reviewing the blockchain's architecture and selecting a summary of the privacy threats posed by the four layers of the blockchain: data, network, transaction, and application. Next, it concentrates on describing the two more significant types of blockchain privacy protection technology: zero-knowledge proof and homomorphic encryption. The former is developed from its fundamental ideas, application scenarios in the blockchain, and performance and security analysis. Conversely, zero-knowledge proof is derived from three from three aspects of its basic concept, application in blockchain, and technical challenges; finally, the privacy protection technology in blockchain is summarized and a prediction of its future research direction development is made.
Choice of Efficiency and Economy: The Role of Machine Learning in Advancing Battery Technologies
Authors: Xu Fangzhou
Published: February 2025

With the growth in global energy demands and the prominent need for sustainable development, battery technology has attracted significant attention as a crucial means of energy storage. Applying machine learning in battery technology offers new avenues for enhancing battery performance, safety, and lifespan. Through a literature review, this study comprehensively analyses the current status of machine learning in battery capacity prediction, solid electrolyte research and new material screening. It also explores the related research achievements, existing problems and future development directions, emphasising the importance of high-quality data, appropriate model selection, strict validation and interdisciplinary collaboration in promoting the progress of battery technology.
Enhancing Stability and Efficiency of Single-Material Organic Solar Cells with Block Copolymers
Authors: Xu Kaizhou
Published: February 2025

With the increasing demand for energy in production and the depletion of traditional energy sources, the urgency of exploiting clean energy is growing rapidly. Among them, building suitable organic solar cells (OSCs) by using block copolymers (BCPs) as materials of a photoactive layer is a promising method to utilize solar energy. Nevertheless, due to the complex structure and uncontrollability of BCPs, many efforts still need to be made to improve the power conversion efficiency (PCE) and thermal stability of the equipment. This paper reviews the development of BCP-based OSCs in recent years, as well as the many challenges they face and the corresponding solutions, including precise control of the block structure, the application of efficient charge transport principles, and optimization of active-layer film morphology. The paper takes the BCP-based single-material OSCs (BCP SMOSCs) as an entry point and provides a detailed analysis of the PCE and stability improvement schemes when the BCP is used as the light-active layer material, in order to provide a reference for the efficient utilization of photovoltaic products and the exploitation of renewable resources.
Optimization of Photovoltaic Wind Energy Systems in Coastal Cities in Humid Subtropical Climate Zones
Authors: Li Qilin
Published: February 2025

In the context of the global energy transition, the layout of photovoltaic and wind energy systems (centralized or distributed) directly affects their energy efficiency and economic efficiency. As a typical city in the subtropical humid climate zone, Brisbane has abundant solar and wind energy resources, and its distribution characteristics and climate conditions provide diverse choices for the layout of the energy system. This paper mainly studies the applicability of centralized and distributed photovoltaic wind energy systems based on climate and energy efficiency indicators, aiming to provide a scientific basis for energy system design under different conditions. Research methods include modeling and simulation analysis based on Brisbane meteorological data, combined with genetic algorithms to optimize PV panel inclination and wind turbine arrangement, and design key decision indicators such as climate conditions (such as solar radiation, seasonal changes in wind speed), land use and energy output efficiency. The energy efficiency performance of different layouts is evaluated to determine the optimal option for selecting a centralized or distributed system. The study shows that distributed systems have a higher cost-benefit ratio, while centralized systems excel in energy output.
The Sweet Solution: Enhancing the Biodegradable Plastics by Shaping Sugar Ring into Eco-friendly Plastics
Authors: Shan Hongjie , Zheng Yizeng
Published: February 2025

This study aims to study the possibility of enhancing the mechanical properties and biodegradability of polylactic acid (PLA) using cyclodextrins (CD). Through melt-blending and solvent casting methods, PLA/CD composites with varying content of CD (0%, 1%, 3%, and 5%) were produced. Mechanical properties and biodegradation are assessed by precise instruments and compared with traditional PLA materials without CD. The research reveals that CD concentration not only enhances the mechanical properties of the samples but also maintains their biodegradability at a constant rate. The 3% CD composition shows an optimal balance of strength, ductility, and toughness. Further increasing the CD content to 5% leads to an even higher tensile strength of 56.4 MPa. It can be concluded from biodegradation studies that a relatively low amount of CD added into the composite makes it break down faster. It is notable that the samples all change a lot from what they initially appeared around day 30, indicating that their internal structure has undergone significant changes. Overall, CD content is crucial for the speeding up of breakdown especially in the initial stages. The result emphasizes the significant impact of CD incorporation on PLA properties. It presents key information for adjusting materials based on PLA to achieve desired mechanical characteristics and biodegradability, creating opportunities for innovative use in both daily life and industry.
The Impact of PID Control Parameters on DC Motor Performance
Authors: Zhang Wei
Published: February 2025

This paper investigates the influence of PID control parameters on the performance of DC motors, which are integral components in industrial automation and robotics. DC motors require precise control for applications demanding high accuracy in speed and position, and the PID (Proportional-Integral-Derivative) controller remains one of the most effective tools for this purpose. Through a comprehensive literature review, this study explores the effects of proportional (P), integral (I), and derivative (D) components on the stability, accuracy, and responsiveness of DC motor control systems. The findings indicate that proportional gain (Kp) impacts system stability and responsiveness, integral gain (Ki) addresses steady-state errors, and derivative gain (Kd) enhances transient response. The results of this research contribute to the optimization of PID controller tuning strategies, offering practical insights for improving the efficiency of motor control in diverse applications.
Asymmetric Supercapacitors NP-MnO2// P-MXene/CPAQ-A Device in Aqueous Electrolyte with a Wide Voltage Window, Good Mechanical Flexibility, and High Circle Stability
Authors: Ma Qinglin , Wang Chenxiang
Published: February 2025

This study presents the development of an asymmetric supercapacitor (ASC) utilizing NP-MnO_2 as the positive electrode and P-MXene/ "C" _"PAQ" -A (PAQ: quinone-amine polymer) as the negative electrode. This combination enhanced energy and power density by combining pseudocapacitive and electrochemical double-layer mechanisms. Characterization and electrochemical analysis reveal superior performance, including a wider voltage window (1.9V) and extended cycle life, positioning this kind of ASC as a promising solution for advanced energy storage applications. Environmental impact is minimized using water-based electrolytes.
Research on balance control of humanoid robot based on inertial measurement unit
Authors: Zhang Zheng
Published: February 2025

This collection of papers investigates different uses of IMU (Inertial Measurement Unit) technology in areas such as robotics, industry, and rehabilitation. In applications involving the compensation of robot flexibility and energetic balance control, IMU sensors, when paired with geometric models and Extended Kalman Filters (EKF), substitute conventional force sensors. This substitution enhances the real-time estimation of contact forces and moments. These methods, which operate at high frequencies, greatly strengthen the robot's balance and its ability to withstand external disturbances. Another key focus of the research is joint state estimation and posture control in robots. Here, IMU data, combined with other models, allows for accurate motion tracking and boosts energetic stability. Importantly, the fusion of IMU with vision and force sensors further improves motion capture accuracy. Utilizing IMU technology is not limited to robotics. In pediatric rehabilitation, it enhances motion recognition and engagement by giving therapists real-time feedback, thereby overcoming the limitations of vision-based systems such as Kinect. Similarly, in industrial contexts, wearable devices that use IMUs surpass traditional vision systems in gesture recognition within complex environments, yielding greater accuracy and energy efficiency. This illustrates the adaptability of IMUs across various domains, including robotic control, healthcare, and manufacturing processes.
Dynamic Encryption Overview
Authors: Li Hangjie
Published: February 2025

With the rapid development of information technology and the growing demand for network security, traditional static encryption methods have gradually failed to meet the requirements of modern environments for flexibility and security. Dynamic encryption technology has emerged to dynamically adjust the encryption policy according to the network status, data type and actual needs, thus providing a more efficient and flexible protection program. This paper summarizes the basic principles of dynamic encryption technology and its encryption and decryption process, focusing on the analysis of the acquisition of dynamic key. Compared to static encryption, dynamic encryption is able to cope with different threat scenarios in changing environments, enhancing data security and availability. The article also reviews the current research progress and major challenges facing dynamic cryptography, and explores future directions, especially the potential for applications in emerging areas such as quantum cryptography, artificial intelligence, and privacy computing. Dynamic encryption technology shows great application prospects in dealing with future complex security threats and safeguarding data privacy.
Research on the Dynamics of Sea Lamprey Sex Ratio and Its Ecological Impacts in the Lake Ontario Ecosystem Based on the OLED Model
Authors: Wang Minjie , Fan Haoxin , Cui Chuhan , Cai Tiantian
Published: February 2025

This study focuses on the sea lampreys that have invaded the Great Lakes. Considering the significant impact of their sex ratio changes with the environment on the ecosystem, the aim is to construct a model to explore its mechanism. Data from various sources such as government departments, scientific research institutions, and academic articles were collected and preprocessed. The Lake Ontario Lamprey Ecosystem Dynamics Model (OLED) was created, which consists of the Sex Ratio Relationship (SRR), Lamprey Life Cycle (LLC), and Lake Ontario Species Survival (LOSS) modules. The Lasso regression and other algorithms were used to analyze the impact of environmental factors on the sex ratio. Based on the Lotka-Volterra and other models, the relationships between sea lampreys and other species were studied. The Gray Forecast Model was also adopted to predict relevant variables and calculate the sex ratio. The results show that the changes in the sex ratio of sea lampreys significantly affect the ecosystem, such as influencing fish populations and nutrient cycling. Moreover, the model is robust under small data perturbations and is sensitive to the reproduction rate. This research provides theoretical support for the ecological control of sea lampreys.
Clinical experience of Shegan Mahuang decoction in treating cough variant asthma in children
Authors: Yin Xifeng , Liu Yang , Shen Guangsheng
Published: February 2025

Cough variant asthma (CVA) in children primarily involves the lungs but is closely related to the heart, liver, spleen, and kidneys. The pathological factors are mainly wind, cold, and phlegm, with the fundamental pathogenesis characterized by yang deficiency. Persistent cold, hardened phlegm, and internal stagnation are often the underlying conditions. Clinically, the disease commonly presents as cold-fluid stagnation in the lungs, phlegm obstruction due to yang deficiency, and stubborn phlegm retention in the lungs. The primary treatment approach is using Shegan Mahuang Decoction to warm yang and dissolve retained fluid. A case study is attached as supporting evidence.
The Bureaucracy Neutrality in Indonesian Politics
Authors: Zuhro R. Siti
Published: February 2025

The politicization of the Indonesian bureaucracy in election is attracting great attention since it’s resulted in declining quality of democracy in this country. Although political change since 1998 has given greater strength to societal forces vis-à-vis the state, the fact is that the legacy of patronage network still exists. The politicization of the bureaucracy through the weakening of political parties and maintaining bureaucratic authoritarianism under the New Order government (1966-1998) was an important stimulus for this study. With the downfall of Soeharto’s New Order regime, the authoritarian nature of the bureaucratic system was not only exposed but also changed. These changes have put paid to questions about the involvement of political parties and the influence of societal forces in the formation of policy. The bureaucracy can no longer exist as it was in the New Order, and, in fact, has responded to societal needs by adjusting to the new political climate. In this context, Indonesian politics under the reformation era takes on a wider significance for one of the main results has been the emergence of bureaucratic pluralism – a more pluralistic political system that is more open to the influence of these societal forces. This study was conducted using literature review to understand theories and empirical experiences about the neutrality of the bureaucracy in both national elections and regional elections. This study showed that after 75 years of independence, Indonesia must continue to struggle to build a bureaucracy that is professional (effective and efficient) and politically neutral.
Compreensão da equipe de enfermagem sobre o papel da família no delirium na pessoa idosa hospitalizada
Authors: Giroti Suellen Karina de Oliveira , Longhi Fabiana Amaral , Silvério Lorena Podmonski , Signolfi Rafaela Rossi , De Andrade Giovana Frazon , Dellaroza Mara Solange Gomes
Published: February 2025

Objetivo: Compreender o papel do familiar no contexto da prevenção e do controle do delirium na pessoa idosa hospitalizada na percepção da equipe de enfermagem. Método: Estudo exploratório descritivo com abordagem qualitativa. Realizou-se uma entrevista semiestruturada com 24 profissionais de uma unidade de internação de um hospital terciário no norte do Paraná. A entrevista aconteceu após a concepção de um plano assistencial de prevenção e controle do delirium na pessoa idosa hospitalizada, que foi idealizado coletivamente de maio a junho de 2021. Resultados: A equipe de enfermagem trouxe relatos positivos sobre a participação e o apoio dos membros da família, pois estes colaboram com a orientação do paciente no tempo e no espaço, mantendo-o informado sobre os familiares, trazendo objetos pessoais, estimulando o uso de órteses e de próteses e evitando a restrição física. Conclusão: Entender o papel do familiar e estabelecer com ele uma comunicação efetiva propiciam melhora na qualidade da assistência à pessoa idosa hospitalizada, possibilitando o uso de medidas não farmacológicas para prevenção e controle do delirium.
Desfechos associados ao choque séptico na admissão em uma unidade de terapia intensiva pediátrica
Authors: Fuzetto Flávia de Almeida , Vieira Aline Aparecida , Gabani Flávia Lopes , Linck Júnior Arnildo
Published: February 2025

Objetivo: Analisar a associação entre o diagnóstico de choque séptico na admissão e desfechos negativos em uma UTIP do Sul do Brasil. Método: Coorte retrospectiva de internações de crianças de zero a 15 anos, entre 2012 e 2017. A variável dependente foi choque séptico na admissão. Os desfechos foram jejum na admissão, diagnóstico de infecções relacionadas à assistência à saúde (IRAS), tempo de internação em UTIP e óbito. Foi realizada regressão de Poisson com variância robusta, utilizando o Statistical Package for Social Sciences (SPSS®), com ajuste progressivo de variáveis demográficas e clínicas. Foram calculados risco relativo (RR) e intervalo de confiança (IC95%), com significância de 5%. Resultados: Das 1068 internações analisadas, 112 (10,5%) tinham diagnóstico de choque séptico na admissão. Parcela significativa era procedente de outros municípios (73,2%, p=0,023), e maiores proporções de necessidade de ventilação pulmonar mecânica invasiva (92,9%, p<0,001) e uso de droga vasoativa (83,0%, p<0,001) foram observados nessa população. O choque séptico foi fator de risco para permanência em jejum após admissão (RR=1,14; IC95%: 1,07-1,21) e para a aquisição de IRAS (RR=1,67; IC 95%: 1,29-2,17). Também se associou com maior tempo de permanência sob cuidados intensivos (RR=1,3; IC 95%:1,09-1,56), considerando a mediana de quatro dias e maior risco de óbito (RR=5,76; IC:95%: 4,39-7,55). Conclusão: Reconhecer as características das crianças admitidas com choque séptico permite a identificação do perfil de paciente com maior risco de desfechos desfavoráveis.
CURRÍCULO INTEGRADO: na perspectiva de professores do curso técnico integrado em Mecânica – in lócus
Authors: Palhares de Vilarim Vanessa , Maria Palmira Alves
Published: February 2025

Este artigo apresenta recorte de pesquisa de doutoramento, em fase de finalização, que versa sobre as concepções acerca do currículo integrado e a integração, recolhidas com professores do Curso Técnico Integrado em Mecânica, de um campus do Instituto Federal de um estado-membro. Neste contexto, objetivamos apreender os sentidos atribuídos a fim de capturar como estes sujeitos interpretam e implementam o currículo integrado, por meio de suas práticas. Para tanto, estamos orientados, de um lado, pelo estudo de caso na busca pela compreensão holista e contextualizada (Stake, 2007; Flick, 2004) e; de outro, pela Análise Textual Discursiva (ATD) como método de análise, na compreensão das nuances e sentidos subjacentes dos dados produzidos (Moraes, 2014). Em conclusão, os dados aqui operados registram desafios na implementação efetiva do currículo integrado, o que contribui com uma formação fragmentada. Isto posto, reclama a ressignificação da práxis ancorada no apoio, no estudo e na formação continuada adequada ao que conclama o ensino integrado.
As contribuições de uma educação musical efetiva para o desenvolvimento comunicativo infantil
Authors: De Toledo Calderano da Costa Maria Angélica , Oliveira de Medeiros Pereira Luana Roberta , Medeiros Pereira Marcus Vinícius
Published: February 2025

O objetivo desse texto é evidenciar as contribuições de uma educação musical efetiva para o desenvolvimento comunicativo na infância, destacando a relevância da música como área de conhecimento no contexto escolar. Partindo da análise de alguns aspectos da aquisição da linguagem, o trabalho estabelece conexões com as oito habilidades do Processamento Auditivo Central (PAC), explorando de que forma as atividades musicais podem influenciar positivamente o desenvolvimento dessas competências. Sob a perspectiva da Teoria dos Códigos de Legitimação (Maton, 2014), com foco na dimensão da Autonomia, são analisadas práticas pedagógicas no âmbito da educação infantil que integram o fazer musical ao desenvolvimento global da criança. Os resultados indicam que a música, trabalhada como área de conhecimento específica, contribui para o fortalecimento das habilidades comunicativas – fundamentais para as linguagens falada, escrita e musical –, o que permite aos professores refinar suas estratégias de ensino, promovendo uma valorização consistente da educação musical nas escolas.
Assessment of the Infrastructure Development in Delhi-Mumbai Industrial Corridor in Gujarat: A Focus on Power Requirements
Authors:   Assistant Professor, Faculty of Architecture & Planning  Parul University, Vadodara, Gujarat, India., Shukla Ar. Reshma
Published: February 2025

The Delhi-Mumbai Industrial Corridor (DMIC) stands as a cornerstone of India's ambitious vision for economic growth and industrial development. This study meticulously assesses the infrastructure development within the Gujarat segment of the DMIC, with a specific emphasis on the critical aspect of power requirements. The objective is to evaluate the current state of power infrastructure, identify challenges, and propose strategic recommendations for ensuring a sustainable and robust power supply to support the burgeoning industrial activities. Its a project that aims to develop effective industrial infrastructure along a dedicated freight corridor, and Gujarat is a key state in it. With an emphasis on power needs, the trends in power consumption and the adequacy of the infrastructure in Gujarat's industrial sector are crucial.

Keywords: Industrialization, DMIC, Gujarat Power,
Retinal Diseases Classification using Deep Learning
Authors:   ofessor, Dept of Computer Engineering, JSPM’s Jayawantrao Sawant College of Engineering Pune, Shivarkar1 Sayali
Published: February 2025

Retinal diseases, encompassing a wide spectrum of ocular disorders, pose significant threats to vision and overall eye health. Early and accurate diagnosis is crucial for timely intervention and treatment planning. In recent years, the integration of deep learning techniques into medical imaging has revolutionized the field of ophthalmology. This study explores the application of deep learning algorithms for the classification of retinal diseases using high-resolution retinal images. This study presents a comprehensive and innovative framework for retinal disease classification using deep learning, addressing critical technical challenges and ethical considerations. The developed model represents a significant step towards enhancing the accuracy and efficiency of retinal disease diagnosis, ultimately improving patient outcomes and the quality of eye care..

Keywords : Retinal movement, disease discrimination, deep learning, CNN  classifier.
Advanced Driver Drowsiness Detection System Using Machine Learning and Arduino
Authors:   Assistant Professor at LBS Institute of Technology for Women, and 6Assistant Professor at LBS Institute of Technology for Women, J Jayaresmi
Published: February 2025

Driver drowsiness is a critical issue in vehicle safety, with statistics showing it to be a significant factor in 10-40 percent of highway accidents. The consequences of falling asleep while driving is severe, leading to increased injury severity and a higher occurrence among sleep-deprived individuals. Drowsiness negatively impacts mental alertness, impairs judgment, and slows reaction time, posing a risk of human error that can result in death or injury. Previous techniques for detecting drowsiness, such as using sensitive electrodes directly attached to the driver's body, proved impractical and invasive.Machine learning alorithms and Arduino has been incorporated for dowsiness detection and alerting. The objective of the Drowsiness Detection System is to prevent accidents by identifying early signs of drowsiness and alerting the drivers. The system aims to enhance driver safety by providing real-time drowsiness feedback.
International Migration and Economic Growth in Nigeria
Authors: Ebimieseigha Francis
Published: February 2025

This study seeks to investigate the intricate relationship between intellectual migration and economic growth in Nigeria. Specifically, the study examined how unemployment and corruption drive intellectual migration and assess their implications for Nigeria’s economic growth. Also, the study evaluated the effect of intellectual migration on Nigeria’s innovative capacity and competitiveness. Again, the study analyzed the relationship between intellectual migration and economic growth in Nigeria. Lastly, the study proposed policy recommendations for mitigating intellectual migration and fostering sustainable economic growth. The study adopted a descriptive research design to systematically analyze data trends and patterns of intellectual migration in Nigeria. Data were sourced from International Organization for Migration (IOM), the United Nations (UN), and the World Bank. The study highlighted that intellectual migration, particularly the emigration of skilled professionals, has both positive and negative effects on Nigeria’s economic growth. On one hand, the outflow of human capital contributes to a brain drain, reducing the pool of skilled labor available to drive innovation, productivity, and development within the country. Hence, Nigeria must implement policies that address these root causes and create an environment that encourages skilled professionals to remain in the country.
Analisis Implementasi Sistem Informasi Akuntansi Penggajian Pegawai Pemerintah dengan Perjanjian Kerja pada Dinas Kesehatan Kota Bandung
Authors: Queenta Shafira Firdauza , Jayanti Dwi
Published: February 2025

This study examines the implementation challenges of the payroll accounting information system at the Health Office of Bandung City, with a specific focus on salary disbursement and Additional Income Allowance (TPP) for Civil Servants with Work Agreements (P3K). The research addresses critical operational issues in public sector payroll management, including system efficiency, accuracy, and compliance with government regulations. The study identifies several key phenomena that occur both before and after disbursement periods, such as frequent employee inquiries about TPP payment schedules, questions regarding salary deduction details, and instances of payment discrepancies (both underpayment and overpayment). Using a qualitative descriptive methodology, the research employs multiple data collection techniques including in-depth interviews with key personnel, direct observations of payroll processes, and comprehensive document examination. The findings reveal that while the basic payroll procedure is operational, several areas require significant improvement. First, the documentation system needs enhancement to ensure better record-keeping and transparency. Second, internal control procedures require strengthening to prevent payment errors and improve accuracy. Third, staff training programs need development to enhance the technical competency of the payroll team.
BROILER CHICKEN MEAT QUALITY WHEN FEEDING BIOLOGICALLY ACTIVE DRUGS
Authors:   Volgograd State Agrarian University, Zlepkina Natalia A. , Salomatin Viktor V. ,   Volgograd State Agrarian University, Varakin Alexander T. ,   Volgograd State Agrarian University, Zlepkin Viktor A. ,   Volgograd State Agrarian University
Published: February 2025

The aim of the research is to increase the nutritional and biological value of broiler chicken meat through the use of Karolin in the diets together with probiotic drugs. During the experiment, the tested preparations were included in the rations of the broilers of the experimental groups: broiler chickens of the 1st experimental group received an ade-quate compound feed with 2.5 liters of the preparation Karolin and 350 g of the probiotic Subtilis per 1 ton of com-pound feed; broiler chickens of the 2nd experimental group received an adequate compound feed with 2.5 liters of the preparation Karolin and 2 kg of the probiotic Bacell-M per 1 ton of compound feed; broiler chickens of the 3rd experimental group received an adequate compound feed with 2.5 liters of the drug Karolin and 1 kg of the probiotic Cellobacterin-T per 1 ton of compound feed. In the course of research, it was found that the use of the studied prepa-rations in the diets of broiler chickens contributes to an increase in the nutritional and biological value of the pectoral muscles of the experimental bird. Studies of the chemical composition of the meat of young experimental poultry indi-cated that broilers of the 1st, 2nd and 3rd experimental groups contained less moisture in the pectoral muscles, re-spectively, by 0.16, 0.24 (P<0.05) and 0.35% (P<0.01); more organic matter – by 0.17 (P<0.05), 0.25 (P<0.01) and 0.35% (P<0.01); protein – by 0.24 (P<0.05), 0.29 (P<0.05) and 0.58% (P<0.001) than in control group chickens. Compared with the poultry of the control group, the meat of the pectoral muscles of broiler chickens of the experi-mental groups has a higher biological value and culinary and technological indicators. The best indicators of meat quality were found in poultry of the 3rd experimental group.
Engaging the Lebanese diaspora: Socioeconomic determinants, barriers, and opportunities for sustainable development
Authors: Omar Maha Haj
Published: February 2025

This article studies the contributions of Lebanese expats to the country’s socioeconomic and cultural aspects, focusing on the main factors influencing financial and non-financial engagement of the diaspora, such as generational differences, financial ability, and cultural links. This research drew data from the Lebanese Diaspora Online Survey (LDOS), which included 123 respondents. The study finds that generational differences, financial capacity, and cultural connections significantly influence the level of engagement of Lebanese expatriates. Systemic constraints, such as institutional mistrust and political instability, are identified as the main reasons for the lack of financial engagement from expatriates. The study concludes that Lebanese expatriates are a crucial factor in Lebanon’s economic and cultural development, but the current political and institutional landscape limits their financial contributions. Structural reforms are essential to improve diaspora engagement and maximize their potential for national growth. A comparative review of multinational diaspora models provides actionable ideas, including centralized engagement structures and diaspora-focused investment channels. The findings showcase the criticality of structural reforms to maximize the diaspora’s potential and long-term financial national growth.
Rare cutaneous metastases in advanced colon cancer: A case report
Authors: Santi Santi , Septarendra Denny
Published: February 2025

Cutaneous metastases derived from colorectal tumors are rare, occurring in only 4% of cases of metastatic colorectal cancer. They are most often located on the abdominal skin. A 36-year-old male presented with lumps in his lower right quadrant abdomen two months ago. A previous abdominal CT scan revealed a mass in the ascending colon, but he rejected any medication and returned with total obstruction one month later, willing to take any action. We found an intraluminal cecal mass and a metastatic liver nodule, so we performed a right hemicolectomy and ostomy. One month after discharge, multiple nodules appeared on the patient’s face, chest, and abdominal skin, which were confirmed by FNAB to be metastatic adenocarcinoma. We planned an adjuvant chemotherapy FOLFIRI regimen. Commonly, advanced colorectal cancers have the highest rate of metastases to the liver, lungs, and bones. Cutaneous metastases derived from colorectal tumors are rare, occurring in only 4% of cases of metastatic colorectal cancer. Generally, cutaneous metastases appear several years after resection or diagnosis. In this case, the interval between definitive hemicolectomy and cutaneous metastases was two months, indicating a poor prognosis. Cutaneous metastases are a very rare manifestation of advanced colorectal cancer and indicate poor prognosis.
ANALYSIS OF THE IMPACT OF MUHAMMADIYAH KHITAH ON THE YOUNGER GENERATION A LITERACY STUDY
Authors: - Suwardi , Mifedwil Jandra
Published: February 2025

This study analyzes the impact of Muhammadiyah's Khittah on the younger generation, focusing on its role and implementation in shaping their character and social participation. Khittah Muhammadiyah, as the basic guideline of the organization, emphasizes moderate and progressive Islamic values, which are relevant in facing the challenges of modernization and globalization. Through adaptive education and da'wah programs, Muhammadiyah seeks to instill these values in the younger generation, so that they can play an active role in community development. The results of the analysis show that the understanding and internalization of the Muhammadiyah Khitah that the Muhammadiyah Khithah has a significant impact on the younger generation, both in terms of understanding, behavior, and participation in the organization. Despite the challenges in its implementation, the efforts made by Muhammadiyah to support the younger generation in understanding Khithah should be appreciated. Encourage the younger generation to engage in social activities, have a tolerant attitude, and think critically in dealing with contemporary issues. In addition, the da'wah approach that utilizes digital media has proven to be effective in reaching and influencing the mindset of generation Z. Thus, Khittah Muhammadiyah plays a significant role in shaping the character of the young generation who are noble, insightful, and ready to face the challenges of the times.
Angiomiolipoma hepático pobre em gordura: revisão de literatura e relato de caso
Authors: Nascimento Jonas Gonzaga do , Faria Vitoria Aguiar de , Gomes Vinícius de Araújo , Rodrigues Marisa de Campos , Machado Isabela Cristina Pires , Queiroz Lucas Louhan , Faria Milena Aguiar de , Gomes Thaina Hutter Curcio
Published: February 2025

Angiomiolipomas (AMLs) são tumores tumores mesenquimais benignos e raros, compostos por vasos sanguíneos, músculo liso e tecido adiposo que, tipicamente, afetam os rins. A ocorrência de AMLs no fígado é incomum, e a variante pobre em gordura representa um desafio diagnóstico, pois pode mimetizar outras neoplasias hepáticas. Este artigo relata o caso de uma paciente de 29 anos com AML hepático pobre em gordura, descrevendo os achados por ressonância magnética e histopatológicos. A discussão aborda a complexidade do diagnóstico diferencial, dada a semelhança com outras lesões hepáticas, como o carcinoma hepatocelular. O manejo clínico, que varia de acordo com o tamanho da lesão e a presença de sintomas, é brevemente revisado. Apesar da raridade, o prognóstico para AML hepático é geralmente favorável.