bluuebunny/crossref_metadata_2025 huggingface dataset:
Análise das manifestações patológicas em pavimentos asfálticos: um estudo de caso
Authors: Sampaio Dinaldo , Rodrigues Fabio Augusto Carvalho , Silva Jenifer Alves da , Souza Luiza Cerqueira Abreu Braga de , Sabadini Mateus Batista , Costa Yago Roberto Reis , Viana Harley Francisco
Published: December 2024

O presente estudo de caso tem como objetivo apresentar uma análise das principais anomalias encontradas na pavimentação asfáltica, destacando a causas subjacentes à formação desses problemas, bem como medidas para reparo e manutenção. Para isso, foi conduzido um estudo de caso em uma via localizada na cidade de Contagem/MG, compreendendo as seguintes etapas: coleta de dados, análise das manifestações patológicas e proposição de soluções. Os principais problemas registrados na pavimentação asfáltica da região foram fissuras, trincas, desgaste e “panelas” (ou buracos). Analisando os resultados obtidos, pode-se constatar que essas manifestações patológicas se desenvolvem em virtude de alterações climáticas significativas, tráfego intenso, falhas durante a construção, dimensionamentos errôneos concernentes às exigências de suporte do solo da região de implantação e ausência e/ou falta de manutenções periódicas. Conclui-se que é de extrema importância a realização de monitoramentos regulares, com o intuito de evitar o desenvolvimento de novas anomalias e conter o avanço da gravidade das existentes, além de priorizar metodologias mais eficientes e menos nocivas ao meio ambiente, que sejam condizentes às particularidades de projeto e da localidade.
Variabilidade longitudinal e radial da cor da madeira de Corymbia e sua relação com a densidade e o teor de extrativos
Authors: Barros Junior Udson de Oliveira , Nunes Samara Magdalene Vieira , Araujo Stéffany de Lima , Castor Neto Thayanne Caroline , Silva João Gabriel Missia da , Lemos Atus Ventura , Vidaurre Graziela Baptista
Published: December 2024

A cor da madeira é a primeira característica percebida pelos consumidores, influenciando sua atratividade estética e adequação para diversos usos. O objetivo deste estudo foi analisar a variação longitudinal e radial da cor da madeira de Corymbia e sua relação com a densidade e o teor de extrativos. Foram analisados 11 genótipos de Corymbia, dos quais três árvores foram selecionadas. A coleta da madeira considerou discos de madeira retirados em 6 posições longitudinais do fuste. A cor da madeira foi medida nos sentidos radial e longitudinal de cada disco do fuste, de acordo com o método CIE-L* a* b*. Posteriormente, uma cunha de cada disco foi cortada para as análises de densidade e teor de extrativos da madeira. Os resultados demonstraram que apenas a coordenada a*, a densidade e o teor de extrativos foram influenciados pelo efeito de genótipo. Quanto à variação da cor, houve efeito significativo da posição radial apenas para a coordenada L*. Houve efeito significativo da posição radial sobre as coordenadas L*, a* e h*, enquanto que para a posição longitudinal apenas as coordenadas L* e a* foram afetadas significativamente. A interação posição radial x posição longitudinal foi significativa para alguns genótipos, e correlação significativa foi encontrada entre alguns parâmetros colorimétricos e a densidade da madeira. Baseado nos resultados, é fundamental considerar a variabilidade da cor ao usar madeira de Corymbia para produtos sólidos, pois isso poderá influenciar diretamente na qualidade do produto final.
Patologia dos revestimentos cerâmicos das construções rurais convencionais
Authors: Prates Paola Junayra Lima , Oliveira Thális Brito , Pimenta Lucas Jesus Leal , Pimenta Amanda Maria Leal , Delvaux Júnior Nelson de Abreu , Costa Luís Felipe Rodrigues
Published: December 2024

A tecnologia em sistemas e materiais de construção tem levado ao surgimento de patologias em edificações novas, muitas vezes devido a planejamento inadequado, uso incorreto de materiais, falta de cuidado e acompanhamento ptofissional qualificado na execução e ausência de manutenção tendo como exemplos, algumas patologias como descoloração de pigmentos em tintas, desplacamento do revestimento argamassado, trincas em vigas, fissuras, manchas, eflorescência, corrosão da armadura, e a deterioração da estrutura de concreto prejudicando a vida útil da edificação ou até mesmo, impossibilitar sua utilização, tendo como consequências, . Apesar das qualidades do revestimento cerâmico, como resistência e durabilidade, patologias como fissuras, trincas e eflorescências são comuns. Este estudo, realizado em cinco residências rurais de Janaúba-MG, analisou causas dessas patologias, com foco em fatores como clima, mão de obra e manutenção. A fissura foi a manifestação mais frequente, especialmente em banheiros e cozinhas. A pesquisa visa promover medidas preventivas e reparadoras para reduzir essas ocorrências.
Vaqueiros, demasiadamente vaqueiros: saberes, tradição e cultura
Authors: Santana Luiz Antonio Costa de , Santana Joice Requião Costa de , Santos Carlos Alberto Batista dos
Published: December 2024

Este estudo tem como objetivo investigar as percepções dos vaqueiros sobre os cuidados com os animais, os impactos da decisão do STF na ADI 4983 no cotidiano, na cultura nordestina e nas práticas ambientais associadas ao ser vaqueiro. O estudo se desenvolve através do método qualitativo, associado ao caráter exploratório, utilizando-se de entrevistas semiestruturadas e questionários socioeconômicos e demográficos. Os dados foram coletados entre janeiro de 2023 a junho de 2024, durante as vaquejadas realizadas em Juazeiro (BA) e Petrolina (PE) municípios que compõe os principais polos da Região Integrada de Desenvolvimento Econômico, envolvendo a participação de 22 vaqueiros. Os resultados indicaram que o vaqueiro permanece como figura central dessa prática nas regiões do Submédio São Francisco, demonstrando ainda um “saber adquirido” por meio da prática contínua da vaquejada, que atores envolvidos na atividade percebem a vaquejada como relevante manifestação cultural, e que as regras existentes não causam maus-tratos aos animais, de modo que a vaquejada desempenha papel representativo nas tradições nordestinas. Conclui-se que a vaquejada, reflete uma conexão profunda com a cultura local, as narrativas míticas do Nordeste e a economia da região.
THE INFLUENCE OF PRODUCT QUALITY ON CONSUMER SATISFACTION OF DFC CHICKEN (DEWE FRIED CHICKEN) IN SORONG DISTRICT
Authors: Edwar Rizka Cintya
Published: December 2024

This research aims to determine the effect of product quality on consumer satisfaction with DFC (Dewe Fried Chicken) chicken in Sorong district. This research used quantitative methods with a sample of 100 consumers who had previously consumed DFC chicken. The data collection technique is by distributing and distributing questionnaires and then the data is processed using SPSS. The results of this research show that product quality has a positive and significant effect on consumer satisfaction, so it can be concluded that if product quality increases, consumer satisfaction will increase.
Research on Complex Motion Path Optimisation Based on PDE Constraints and DeepONet Neural Network Models
Authors: Fang Yuhao , Wang Yixuan , Wei Zhenyuan
Published: December 2024

Aiming at the key motion path and speed control problem in a traditional folk performance, this paper designs a comprehensive optimization scheme. Combined with the constraints of partial differential equation (PDE), the position and velocity changes of each time node are calculated to ensure the smoothness of the motion and the rationality of the speed. In order to further improve the optimization effect, alternate direction multiplier method (ADMM) and DeepONet neural network model are introduced to realize the fine adjustment of path planning and speed control. The results show that this scheme not only improves the performance's appreciation, but also significantly enhances the execution's accuracy and operability.
Simulation and Experimental Study of Hydraulic Wind Heating System
Authors: Liu Chengpeng , Wan Li , SANGYONGLAMU  , Wang Wei
Published: December 2024

In the overall system of wind powered heating, the design of hydraulic wind powered heating system is widely used due to its excellent performance. Due to the stability and timeliness of the hydraulic system itself, as well as its ability to effectively improve the reliability and intelligence of the overall wind powered heating system, this design not only achieves smoother and more reliable braking of the high-speed shaft, but also maximizes the utilization of the excellent characteristics of the hydraulic system, thereby effectively improving the energy conversion efficiency of the wind powered heating system. This article establishes an experimental platform for a hydraulic wind energy heating system through project implementation, and simulates and measures the energy conversion efficiency of the system under different wind conditions; Simultaneously using different system cycle working fluids as heat transfer media to conduct comparative system experiments and determine the heat transfer effects of different working fluids. Finally, operate within a limited time and space to increase the temperature of the heat transfer working fluid, in order to study the energy conversion efficiency when using hydraulic wind energy for heating. Through systematic simulation and experimentation, the hydraulic wind powered heating system has been studied, effectively improving the energy conversion efficiency of the wind powered heating system and enhancing its economic value and strategic objectives.
Enhancing Learning Outcomes through Pedagogical Innovations in Mobile Application Development
Authors: Zhu Yuanjing
Published: December 2024

This paper explores pedagogical innovations in teaching Mobile Application Development Technology (MADT) in higher education. In response to the rapidly evolving industry demands and diverse student learning styles, this study proposes a comprehensive approach integrating theoretical knowledge with practical applications, project-based learning, and industry collaboration. Using a mixed-methods research design combining quantitative surveys and qualitative interviews, the effectiveness of this approach was evaluated. Results indicate significant improvements in student engagement, knowledge retention, and technical skills. This integrated approach aims to bridge the gap between academic learning and industry requirements, ensuring students are well-prepared for professional challenges.
KNOWLEDGE, ATTITUDE AND PRACTICES REGARDING SURGICAL SITE INFECTION PREVENTION AMONG STAFF NURSES IN SIR GANGARAM HOSPITAL, LAHORE
Authors: SHAHZADI A , ANWAR T , SONIA .
Published: December 2024

Surgical site infections (SSIs) are a significant contributor to healthcare-associated infections, leading to increased morbidity and prolonged hospital stays. Effective prevention strategies rely on healthcare professionals’ knowledge, attitudes, and practices (KAP), particularly among nurses directly involved in patient care. Objective: To assess the knowledge, attitudes, and practices regarding SSI prevention among staff nurses at Sir Ganga Ram Hospital, Lahore. Methods: A descriptive cross-sectional study was conducted among 120 nurses using a pre-validated structured questionnaire. Data were analyzed using SPSS version 26, with results presented as frequencies and percentages. Results: The majority of nurses (85%) had adequate knowledge about SSIs, with high awareness of blood sugar control (83.3%) and aseptic techniques (80.8%). Positive attitudes were prevalent, with 81.9% scoring well, and most participants agreeing on the importance of sterile materials (98.3%) and frequent dressing changes (92.5%). Adherence to good practices was noted in 87.7% of nurses, particularly in areas like skin preparation with alcohol and chlorhexidine (90%). However, gaps were identified in knowledge of specimen collection methods (64.2%) and in organizing training sessions for SSI prevention (25%). Conclusion: Nurses at Sir Ganga Ram Hospital demonstrated good KAP regarding SSI prevention, but gaps in specific practices highlight the need for targeted training and systemic improvements. Enhanced education and resource allocation can improve adherence to evidence-based guidelines, ultimately reducing the burden of SSIs in healthcare settings.
Comprehensive overview, molecular epidemiology and antimicrobial resistance in Non-typhoid Salmonella
Authors: ALEMNEW Marew , GELAW Aschalew , NIBRET Kindu , GETU Addis , BERHANE Nega
Published: December 2024

Non-typhoid Salmonella (NTS) is a major public health problem affecting both humans and animals in many countries and being an important public health problem worldwide. It is a leading bacterial cause of diarrheal disease in humans, leading to gastroenteritis and deaths. It is a major agent of food-borne outbreaks as well as individual cases, especially in developing countries. Many virulence genes of Salmonella enterica are organized on SPIs (Salmonella pathogenicity islands). Twenty three SPIs are identified in genus Salmonella, which are required for adhesion, invasion, intra-cellular survival, and replication. Enhanced surveillance, improved food safety and responsible antibiotic use are crucial for preventing the spread of NTS. This review offers detailed information on NTS in an inclusive manner rather than fragmented approach. It also focuses on human NTS infections, unlike most research, which is conducted on animals.
Securing the Future: Real-Time intrusion Detection in IIoT Smart Grids through Innovative AI Solutions
Authors:   Department of Electronics Communications, Faculty of Engineering Egypt, Helwan University, Egypt, Mounir Mounir ,   Professor, Department of Electronics and communication Engineering, Helwan University, Egypt,   Assistant Professor, Department of Electronics and Communications Engineering, Helwan, Egypt, Sayed Samir G. , El-Dakroury Mohamed M. El
Published: December 2024

The world is witnessing an unprecedented boom in the development of information technology, which has come to encompass all aspects of life, Smart networks based on the Industrial Internet of Things (IIoT) are among the latest technologies used in various industries, contributing to improved production efficiency, reduced costs, and enhanced security, With the increasing reliance on this technology, the challenge of complex cyberattacks are also on the rise, These attacks are considered one of the major challenges facing smart networks, as attackers can exploit vulnerabilities in systems to access sensitive data or disrupt industrial operations, To counteract these threats, advanced intrusion detection systems should be developed, leveraging artificial intelligence and big data analytics to effectively detect and respond to attacks in real-time. Therefore, it is imperative to strive towards developing advanced and intelligent security systems to combat cyberattacks, ensuring the safety of industrial operations and data protection. This paper provides two IDS based on AI that are developed to negate the raising sophisticated cyberattacks. IN the first technique, Group of ML techniques such as Decision tree, Random Forrest classifiers, support vector classifier, and K_Nearest Neigbor are used with Feature reduction algorithms classifying network traffic subspecies to enhancing the accuracy and efficiency of detection systems. The second proposed technique for specifying the type of intrusion advantage various methodologies, particularly in the context of IoT networks and deep learning, the two algorithms are trained and tested using three well-known datasets to investigate wide domain of cyberattacks targeting the IIoT infrastructure. Results of the simulation show that the algorithm proposed in this work provides high improvement in detection of cyberattacks. The first algorithm achieved an accuracy of 99.9% and a very low false positive rate of just 0.1%. In addition, the second proposed algorithm identifies type of attack with a detection ratio of 99.76%. These results demonstrate how the proposed IDS based on AI algorithms can effectively detect network intrusion, and significantly enhance the security of IIoT system
Research on the correlation between different dietary habits and chronic diseases in China
Authors: Jiang Liantong
Published: December 2024

Among all chronic disease risk factors, an unhealthy diet is the first and most widely affected risk factor. Although there have been many studies on eating behavior, there is a lack of quantitative studies on the association between dietary taste differences and chronic diseases in different regions of China. Therefore, this paper utilizes crowd-sourced online recipe data to extract multi-dimensional flavor information from cuisine, combined with geo-tagged restaurant-type interest points data from different regions, to quantitatively analyze the flavor preferences of different groups of people. From the perspective of spatial heterogeneity, we established the association between the 7 flavors and three chronic diseases (hemorrhagic stroke, pancreatic cancer, and upper respiratory infection), and obtained the measure of the explanation ability of dietary flavor on the spatial distribution of chronic diseases. The results show that salty is the primary flavor risk factor for hemorrhagic stroke; sweet to a certain extent is the primary flavor risk factor for pancreatic cancer, and the degree of sweetness is not simply linearly related to the risk of pancreatic cancer; spicy is the primary flavor risk factor for upper respiratory infection, and all three are statistically significant.
Target-based drug repositioning in papillary renal cell carcinoma with TFE3 fusion
Authors: Han Sungjoo , Lee Sejoon , Yun Jae Won , Ahn Soyeon
Published: December 2024

Papillary renal cell carcinoma (PRCC) is the second most common subtype of renal cell carcinoma. Recurrent transcription factor E3 (TFE3) fusions have been identified in PRCC. Although patients with TFE3 fusions show relatively aggressive phenotypes, no effective targeted therapies have been developed. In this study, we aimed to identify putative therapeutic targets through systematic bioinformatic analysis of PRCC with TFE3 fusion. We identified TFE3 fusion cases (n = 6) and controls (n = 282) in The Cancer Genome Atlas database. A total of 1,314 differentially expressed genes were extracted. An overrepresentation analysis revealed cancer-related signaling pathways, which were categorized to 13 cancer-related pathways, including nuclear factor-erythroid factor 2-related factor 2 (NRF2)-, G protein-coupled receptor (GPCR) signaling-, inflammatory response-, development-, and insulin-like growth factor-related pathways. A network analysis and literature review were performed using drug-target databases to identify putative applicable drugs. We identified several promising drug candidates for PRCC with TFE3 fusion, including amrubicin, BCL6 inhibitors (79-6, BI-3812), cetuximab, epirubicin, gemcitabine, ipilimumab, linsitinib, olaparib, Orencia, paclitaxel, panitumumab, sorafenib, and tamoxifen. Our suggested strategy can help bridge the gap between transcriptome studies and the choice of therapeutic agents. Further experimental validation is needed to improve the efficacy of precision medicine for PRCC.
Mitochondrial and ER contact sites related to physiology and diseases
Authors: Liu Mulin
Published: December 2024

Mitochondria and the endoplasmic reticulum (ER) are indispensable organelles in eukaryotic cells, playing pivotal roles in energy production, calcium homeostasis, and lipid synthesis. The specialized contact sites between these two organelles, known as mitochondria-associated ER membranes (MERCs), facilitate fundamental cellular functions such as lipid metabolism, and apoptosis. Disruption of MERCs is implicated in various diseases, including neurodegenerative disorders, cardiovascular diseases, diabetes. This review delves into the dynamics of mitochondria, the importance of MERCs, and their implications in disease pathogenesis. We have explored the processes of mitochondrial fusion and fission, regulated by proteins such as mitofusins and dynamin-related protein 1, and their impact on mitochondrial quality control and cellular stress responses. Furthermore, we investigate the role of the ER in mitochondrial dynamics, with a focus on how ER-mitochondria interactions influence cellular homeostasis. By unraveling the complex mechanisms governing MERCs, we can identify potential therapeutic targets for diseases associated with MERC dysfunction, thereby offering new avenues for treatment.
Analysis of air temperature change trends and their impacts in Australia
Authors: Xu Xican
Published: December 2024

Global climate change has become a major challenge of our time, affecting ecosystems, weather patterns, and human activities across the globe. In this paper, we analyze the causes and effects of climate change by looking at Australia, in particular, summer temperature trends in the Melbourne region over the past 20 years. By examining historical data and considering the current situation, this paper makes recommendations to address these challenges. The relevant data shows a general increase in average summer temperatures in Melbourne and across Australia from 2003 to 2023. The main factors contributing to these fluctuations include global climate change, human activity, and urbanization. Continued temperature increases are primarily caused by global warming, exacerbated by increased greenhouse gas emissions from human activities and the urban heat island effect. The impacts of climate change on Melbourne and Australia are multifaceted, affecting public health, water management, energy demand, ecosystems, and agriculture. After analyzing Australia's overall climate, this paper proposes measures to improve it, such as reducing greenhouse gas emissions, increasing urban resilience, improving public health security, protecting and restoring ecosystems, and promoting scientific research and education.
ABO Blood Groups, Rhesus Factor, and Rheumatoid Arthritis
Authors: Abuladze Salome , Akhvlediani Leila , Nagervadze Marina , Tsintsadze Neriman , Tsivadze Nazibrola , Dumbadze Diana , Shavadze Miranda
Published: December 2024

The ABO and Rhesus blood group systems play critical roles in clinical practice, particularly concerning their associations with autoimmune diseases, including rheumatoid arthritis (RA). This study aimed to investigate the relationship between ABO blood types, Rh factors, and RA in a Georgian population. A total of 157 participants were included, comprising 93 RA patients and 64 healthy controls. Blood samples were analyzed for ABO and Rh D blood group determination, revealing that blood type O was the most prevalent among RA patients (50.5%), followed by type A (35.5%), while the control group exhibited similar distributions (O: 54.7%, A: 34.4%). The Rh factor analysis indicated a slightly higher prevalence of Rh-positive individuals in the RA group (84 patients) compared to Rh-negative individuals (9 patients). The overall distribution of blood types in RA patients closely mirrored that of the general population, indicating no significant link between ABO blood types and RA. Further research is warranted to explore these associations and their implications for RA pathogenesis and potential therapeutic targets.
Report on climate and climate change on the East Coast of the United States
Authors: Wang Han
Published: December 2024

In the context of global climate change such as rising sea level, rising temperature, and increasing greenhouse gas emissions, according to the climate change of the East Coast of the United States in recent years, the report analyzes the current impact and future trends of four cases on the East Coast of the United States through relevant data and models: The damage scale of Atlantic hurricanes increases year by year, with increased vertical growth and carbon sequestration capacity of coastal wetlands, increased Vibrio vulnificus infection, and increased flood disasters. The relationship between human activities and climate change cases is explored. In the end, different specific recommendations are made based on the four major climate change phenomena on the East coast of the United States. And put forward the "forest vegetation restoration" plan, hoping to adjust the negative impact of climate change in the region through this plan.
The analysis of future developments and application potentials of CAR-T cells based on their current performance
Authors: Liu Sichen
Published: December 2024

Currently, CAR-T cell therapy has become one of the most commonly seen ways of immunotherapies to treat cancer, it is specifically targeted, with limited side effects compared with some other treatments like chemotherapy, and it has a high chance of curing the cancer with no reoccurrence. This treatment is preferred by many because of its broad application and adaptability; the T cell is gathered from the patients own system so they have no risk of rejection reaction and greatly increases the safety of the drug, excluding immune system overreaction and mortalities. This paper is to briefly introduce CAR-T cell therapy as a kind of immunotherapy: its applications for blood cancers, limitations on solid tumors, actions done to solve the treatment problems, and the potential for future applications. If the clinical trials for solid tumors succeed, the potential for safe, effective, and thorough treatment in the appliance of CAR-T cell therapy.
Starvation impairs learning ability during development by regulating neurodevelopment-related genes in Caenorhabditis elegans
Authors: Mei Siyuan
Published: December 2024

Controlling weight through starvation is a popular phenomenon among Chinese teenagers, according to our self-made questionnaire. However, the potential side effects on teenagers have not been clearly identified. In this research, C. elegans in developing age was utilised as a model organism to identify the impact of starvation on learning ability, including associative and non-associative learning. The impaired learning ability and changes in some essential physiological indicators were observed after starvation. Then, the change in the relative expression level of nine neurodevelopment-related genes affected by starvation was further investigated by RT-qPCR. The downregulation of eat-4 and the upregulation of casy-1 and tph-1 were detected after starvation. Furthermore, homology analysis revealed that the human homolog of eat-4 is SLC17A7/VGLUT1, suggesting a similar starvation mechanism in humans. In conclusion, this study demonstrated that starvation could impair the learning ability of C. elegans through the regulation of neurodevelopment-related genes.
Mixed Reform of State-owned Enterprises and High-quality Development of Enterprises
Authors: Wu Yanan
Published: December 2024

The reform of mixed ownership in SOEs advances their high-quality development through deepened reforms, optimized state economic layouts, and enhanced capital allocation efficiency. Utilizing A-share listed company data from 2008 to 2022, this study employs a two-way fixed effects model for empirical analysis. The findings reveal a notable positive correlation between SOE mixed-ownership reforms and improvements in corporate governance, incentive mechanisms, and constraints. Moreover, the role of party building plays a crucial moderating function in these reforms. This research elucidates the integration of public ownership with the market economy for listed firms, identifies fresh strategies to boost SOE vitality, efficiency, and competitiveness, and supports the establishment of modern enterprise systems. It also offers theoretical underpinning for the transformation, upgrade, and sustainable growth of state-owned enterprises.
Research on UAV formation positioning based on passive positioning
Authors: Xie Junru
Published: December 2024

In this paper, passive positioning technology in UAV formation is studied, and how to achieve effective positioning through signal transmission when UAV deviates is analyzed. The research shows that when four UAVs with transmitting signals are deployed, the positioning accuracy of feature point FY08 is very high, indicating that the positioning of UAVs can be effectively realized by setting four signal transmitting UAVs (including two new UAVs) when the location is unknown.In a typical formation of ten drones, nine are evenly distributed around the circumference, with the central drone being the FY00. By building a passive reception model, this paper discusses how to use the signals of FY00 and two other UAVs for positioning. When the drone deviates and receives signals from FY00, FY01 and another unknown drone, up to three drones are required to transmit signals to ensure effective positioning.The positioning model is derived by cosine law, and the linear distance between the deviating drone and the center drone is solved by geometry and sine theorem. Finally, the advantages of four signal transmitting UAVs in positioning accuracy were verified by measuring deviation and variance, and a conclusion was drawn that effective positioning of UAVs was achieved by signal transmitting under the condition of deviation.
Robot Tracking Navigation Based on Visual SLAM
Authors: Sun Weili
Published: December 2024

Visual Simulation Localization and Mapping technology is an important research direction in the fields of computer vision and robotics. The research background of this technology mainly stems from the insufficient accuracy of traditional positioning and map construction methods in the face of environmental changes. With the development of artificial intelligence, this technology has been involved in multiple disciplinary fields. Since 2015, researchers have begun to focus on the combination with deep learning to improve algorithm robustness, dynamic scene planning and other aspects. This article which introduces the existing tracking car system and visual SLAM (Simultaneous Localization and Mapping) system framework explores the robot tracking and navigation technology based on visual SLAM. Visual SLAM technology provides robots with an autonomous navigation solution that does not require external sensors through feature extraction, real-time positioning, mapping, and closed-loop detection. This article also discusses the advantages and disadvantages of visual SLAM navigation, and offers insights into the future development of VSLAM technology in robot tracking navigation.
Kinematic Analysis and Trajectory Planning Based on a Six-Axis Robotic Arm
Authors: Li Jiayi , Zhang Quan
Published: December 2024

Kinematic analysis and time-optimal trajectory planning are applied to the robot in order to enhance its operational efficiency and preserve its continuous, smooth running trajectory. In this paper, the robot kinematics model is established based on the D-H parametric method with the Daqi Elfin series E05 six-axis robot as the research object. After that, forward and inverse kinematic analysis is carried out. And the segmented polynomial interpolation trajectory planning model of robotic arm is optimized in time based on the improved particle swarm algorithm. And MATLAB robot toolbox is used to build the robotic arm simulation model. From there, the trajectory planning simulation experiments are performed. As well as the experimental results show that the improved particle swarm algorithm effectively reduces the trajectory planning time. In the simulation experiment the time is reduced by 40.78% compared to the initial setting. The effectiveness of the robotic arm is greatly increased by this research.
Leveraging Machine Learning for Food Waste Reduction: An Analysis of Predictive Models
Authors: Yang Yi
Published: December 2024

Food waste remains a significant global issue with severe environmental, economic, and social impacts. Recent advancements in machine learning (ML) have shown promise in tackling this problem across various sectors, including household, catering, and hospitality industries. This study explores the application of machine learning models to predict and minimize food waste, focusing on key predictors such as household consumption patterns, retail demand, and food service estimates. By analyzing the effectiveness of random forests, this research highlights the ability of these models to enhance forecasting accuracy and waste management efficiency. Findings underscore the potential of ML to support sustainable food consumption, reduce waste generation, and achieve environmental benefits. This research offers insights into the practical deployment of ML for food waste mitigation, providing a roadmap for stakeholders aiming to adopt technology-driven waste reduction strategies.
Konsep Pendidikan Anak dalam Perspektif Nasih Al-Ulwan dan Ibnu Sina
Authors: Pasaribu Ummi Salamah Br , Panggabean Witari Triarni , Dewi Eva
Published: December 2024

Islam sejak awal menekankan pentingnya pendidikan. Penelitian ini bertujuan untuk menggarisbawahi pentingnya pendidikan dalam Islam, khususnya sejak usia dini, serta menganalisis makna simbolis dari tradisi mengumandangkan adzan pada bayi. Islam sejak awal telah menempatkan pendidikan sebagai pilar penting dalam kehidupan umat. Hal ini tercermin dalam berbagai ajaran dan praktik keagamaan, salah satunya adalah tradisi mengumandangkan adzan di telinga bayi yang baru lahir. Metodologi/Temuan: Melalui kajian hadits dan literatur terkait, penelitian ini menemukan bahwa tradisi mengumandangkan adzan pada bayi memiliki makna mendalam. Hal ini menggarisbawahi pentingnya bagi umat Islam sejak usia muda. Prinsip ini dicontohkan dalam sebuah hadits dimana Nabi menganjurkan mengumandangkan adzan di telinga bayi yang baru lahir, seperti yang diriwayatkan oleh Abu Rafi' dari ayahnya. Amalan ini memastikan bahwa kata-kata pertama yang didengar anak mengagungkan Allah dan meneguhkan syahadat. Selain itu, azan juga berfungsi sebagai pelindung anak, menangkal kekuatan jahat. Pada hakikatnya Islam menanamkan ajaran tauhid sejak lahir. Nashih Ulwan menggarisbawahi fokus Islam pada pendidik, yang memikul tanggung jawab penting dalam membimbing, mengajar, dan merawat anak-anak, bersama dengan orang tua dan pendidik formal di sekolah dan lembaga keagamaan.
Pengembangan Media Pembelajaran Berbasis Macromedia Flash pada Mata Pelajaran IPS Kelas V Sekolah Dasar
Authors: Suryani Ida , Permatasari Anggi , Jayanti Jayanti
Published: December 2024

Penelitian ini dilakukan karena kurangnya pemanfaatan teknologi dalam penggunaan media pembelajaran khususnya materi keanekaragaman suku bangsa. Penelitian ini bertujuan untuk menghasilkan media pembelajaran berbasis aplikasi macromedia flash pada mata pelajaran IPS kelas V SD yang valid, praktis, dan efektif. Penelitian ini merupakan jenis penelitian pengembangan berdasarkan tahapan-tahapan model ADDIE meliputi analyze, design, development, implementation, dan evaluate. Berdasarkan hasil penelitian diperoleh rata-rata nilai kevalidan keseluruhan sebesar 94% dengan kategori valid. Hasil angket respon siswa yaitu one to one dan small group dengan rata-rata keseluruhan sebesar 97,03% dengan kategori praktis. Serta uji lapangan dengan test didapat rata-rata persentase nilai sebesar 91,87% dengan kategori efektif. Dengan demikian berdasarkan hasil penelitian didapatkan bahwa media pembelajaran berbasis aplikasi macromedia flash pada mata pelajaran IPS kelas V SD yang dikembangkan tergolong media yang valid, praktis, dan efektif.
Implementasi Pembelajaran P5 Tema Kearifan Lokal terhadap Keterampilan Kreatif Siswa Kelas IV Sekolah Dasar
Authors: Maretha Natasya Dwi , Laksana Robert Budi , Noviati Noviati
Published: December 2024

Penelitian ini memiliki tujuan yaitu untuk mengetahui bagaimana penerapan P5 tema kearifan lokal terhadap keterampilan kreatif siswa kelas IV SDN 20 Tanjung Raja. Metode yang digunakan dalam penelitian ini adalah metode kualitatif. Kemudian instrumen yang digunakan dalam penelitian ini adalah pedoman wawancara serta observasi. Wawancara digunakan untuk mengajukan pertanyaan kepada guru untuk mendapatkan informasi yang lebih akurat mengenai penerapan P5 dengan tema kearifan lokal terhadap keterampilan kreatif siswa kelas IV SDN 20 Tanjung Raja. Observasi digunakan untuk mengamati bagaimana penerapan proses penerapan P5 dengan tema kearifan lokal yang ada di kelas IV SDN 20 Tanjung Raja. Berdasarkan hasil analisis yang telah dilakukan oleh peneliti, dapat disimpulkan bahwa penerapan P5 tema kearifan lokal terhadap keterampilan kreatif siswa kelas IV SDN 20 Tanjung Raja dikategorikan sangat baik. Dengan demikian penerapan pembelajaran Projek Penguatan Profil Pelajar Pancasila (P5) dengan tema kearifan lokal ini sudah baik sekali dilakukan di SD Negeri 20 Tanjung Raja.
Pengaruh Penggunaan Media Pembelajaran Quizizz Paper Mode terhadap Aktivitas Belajar Siswa
Authors: Cahyani Desika Fitria , Putranto Anggoro
Published: December 2024

Kurangnya keragaman media pembelajaran yang digunakan guru untuk meningkatkan aktivitas belajar siswa pada mata pelajaran IPS mendasari penelitian ini. Kurang variatifnya media pembelajaran akan mengakibatkan siswa merasa mengantuk, bosan dan tidak memperhatikan guru ketikan sedang menjelaskan. Maka dari itu, perlu adanya media pembelajaran yang mampu melibatkan seluruh siswa dalam setiap pembelajaran sehingga membuat siswa ikut berperan aktif ketika pembelajaran di kelas. Salah satu bentuk media pembelajaran yang dapat dimanfaatkan adalah media pembelajaran Quizizz Paper Mode. Tujuan dalam penelitian ini untuk mengetahui Untuk mengetahui pengaruh pemanfaatan media pembelajaran Quizizz Paper Mode pada mata pelajaran IPS kelas VII di SMPN 1 Sanankulon Blitar. Penelitian ini menerapkan pendekatan kuantitatif dengan metode penelitian eksperimental, yakni Quasi Eksperimental Research serta menerapkan desain Nonequivalent Control Group Design. Siswa kelas VII SMPN 1 Sanankulon Blitar khususnya di kelas VII D adalah subyek pada penelitian ini. Data dikumpulkan melalui angket dan lembar observasi dengan bantuan SPSS 26, berupa tes syarat berupa uji normalitas, uji homogenitas, dan uji hipotesis. Hasil pada penelitian ini terdapat pengaruh yang signifikan antara kondisi sebelum digunakannya media pembelajaran Quizizz Paper Mode dan sesudah digunakannya media pembelajaran tersebut terhadap aktivitas siswa di kelas control VII E dan kelas eksperimen VII D yang diketahui bahwa Sig. (2-tailed) 0,013 dan 0,022. Dengan demikian, terdapat cukup bukti yang memaparkan bahwa Ho dapat ditolak dan Ha diterima. Dengan demikian, disimpulkan bahwa penggunaan Quizizz Paper Mode dalam meningkatkan aktivitas belajar siswa kelas tujuh di SMPN 1 Sanankulon Blitar.
Pengaruh Sarana Prasarana dan Kinerja Guru terhadap Hasil Belajar Siswa di SD Negeri
Authors: Hairani Hairani , Widayatsih Tri , Edddy Syaiful
Published: December 2024

Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh sarana prasarana dan kinerja guru terhadap hasil belajar siswa di Sekolah Dasar Negeri se-Kecamatan Kertapati. Sampel penelitian terdiri dari 153 guru dan 153 siswa yang berasal dari delapan Sekolah Dasar Negeri, dengan dua sekolah mewakili akreditasi A, empat sekolah mewakili akreditasi B, dan dua sekolah mewakili akreditasi C. Metode pengumpulan data menggunakan kuesioner dengan skala Likert. Hasil penelitian menunjukkan bahwa sarana prasarana memiliki pengaruh signifikan terhadap hasil belajar siswa, yang mencakup penggunaan berbagai alat dan media pembelajaran yang membantu proses penyampaian pesan dan informasi. Kinerja guru juga berpengaruh terhadap hasil belajar siswa, di mana guru yang memiliki kualitas kerja baik ditandai dengan kemampuannya dalam merencanakan pembelajaran, melaksanakan proses pembelajaran, dan melakukan penilaian secara efektif. Secara keseluruhan, sarana prasarana dan kinerja guru memiliki pengaruh positif terhadap hasil belajar siswa, yang tercermin dari rata-rata nilai kelulusan yang lebih baik. Oleh karena itu, disarankan agar kepala sekolah mampu mengalokasikan dana secara tepat, terutama untuk perbaikan bangunan sekolah dan penyediaan fasilitas pendukung kegiatan belajar. Selain itu, guru diharapkan dapat merawat dan memanfaatkan sarana prasarana yang tersedia dengan baik, serta melaksanakan tugasnya dengan penuh tanggung jawab untuk meningkatkan prestasi siswa.
Pengaruh Penerapan E-filing terhadap Kepatuhan Wajib Pajak Orang Pribadi dalam Melaporkan SPT Tahunan
Authors: Ayuni Nia Melyda , Indrawati Henny , Mujiono Mujiono
Published: December 2024

Seiring dengan perkembangan teknologi informasi dan komunikasi, Direktorat Jenderal Pajak (DJP) mencetuskan reformasi perpajakan melalui e-filing. Dengan adanya e-filling ini diharapkan memudahkan wajib pajak dalam melaksanakan kewajiban pajaknya, sehingga meningkatkan kepatuhan wajib pajak. Oleh karena itu, penelitian ini bertujuan mengetahui pengaruh penerapan e-filing terhadap kepatuhan wajib pajak orang pribadi dalam melaporkan SPT tahunan. Sampel penelitian terdiri dari 81 orang guru sekolah negeri yang ada di Kecamatan Tambang Kota Pekanbaru, mulai dari tingkat SD hingga SMA. Teknik pengambilan sampel menggunakan proportional stratified random sampling. Data dikumpulkan dengan kuesioner yang telah diuji validitas dan reliabilitasnya. Teknik analisis data menggunakan analisis deskriptif dan regresi linear sederhana. Hasil penelitian menemukan penerapan e-filing berpengaruh signifikan terhadap kepatuhan wajib pajak dalam melaporkan SPT tahunan. Penerapan e-filing mempunyai potensi yang kuat untuk meningkatkan kepatuhan wajib pajak. Kemudahan penggunaan sistem merupakan salah satu aspek yang bisa mempengaruhi penerapan e- filing yang baik untuk meningkatkan kepatuhan wajib pajak orang pribadi.
Pengaruh Digital Marketing dan Brand Awareness terhadap Keputusan Pembelian Beta Coffee Pekanbaru
Authors: Arrianda Aulia , Indrawati Henny , Ryantama Isjoni M. Yogi Ryantama
Published: December 2024

Persaingan bisnis yang semakin ketat mengharuskan para pelaku usaha melaksanakan strategi marketing yang terpadu untuk dapat mencapai tujuan marketing, termasuk usaha Beta Coffee. Beta Coffee merupakan salah satu coffeeshop yang berada di Kota Pekanbaru. Oleh karena itu, tujuan penelitian ini adalah menganalisis pengaruh digital marketing dan brand awareness terhadap keputusan pembelian Beta Coffee. Sampel penelitian ini terdiri dari 100 orang yang ditentukan dengan menggunakan teknik accidental sampling. Data dikumpulkan dengan kuisioner dan dianalisis dengan regresi linear berganda. Berdasarkan hasil penelitan, terdapat pengaruh yang positif dan signifikan antara digital marketing terhadap keputusan pembelian Beta Coffee. Semakin baik digital marketing yang dilakukan, maka keputusan pembelian juga akan semakin meningkat. Selain itu, hasil penelitian juga menemukan brand awareness berpengaruh positif dan signifikan terhadap keputusan pembelian. Semakin tinggi brand awareness yang dimiliki konsumen, maka keputusan pembelian juga akan semakin meningkat.
Perbedaan Model Pembelajaran CTL dan CIRC terhadap Keterampilan Menulis Puisi pada Peserta Didik Kelas IV SDN Sidorejo Lor 03 Salatiga
Authors: Tasane Sarni , Koeswanti Henny Dewi
Published: December 2024

Penelitian yang dilakukan bertujuan mengetahui perbedaan model pembelajaran CTL (Contextual Teaching and Learning) dan CIRC (Cooperative Integrated Reading and Composition) terhadap keterampilan menulis puisi pada peserta didik kelas IV di SDN Sidorejo Lor 03 Salatiga. Jenis penelitian yang dilakukan adalah Quasi Eksperimental dengan desain Nonequivalent Control Group Desaign. Variabel X atau variabel bebas pada penelitian ini adalah model pembelajaran CTL (Contextual Teaching and Learning) (X1) dan CIRC (Cooperative Integrated Reading and Composition) (X2) sedangkan variabel Yadalah Keterampilan Menulis Puisi. Populasi pada penelitian ini seluruh peserta didik kelas IV SDN Sidorejo Lor 03 Salatiga dengan subjek penelitian sebanyak 40 peserta didik. Teknik pengumpulan data yang digunakan berupa teknik tes menulis puisi. Hasil penelitian berdasarkan uji-T pada kelompok eksperimen 1 dan kelompok eksperimen 2 menunjukan bahwa nilai Asymp. Sig (2- tailed) sebesar 0,001 < 0,05 maka H0 ditolak dan Ha diterima, artinya ada perbedaan keterampilan menulis puisi yang signifikan dalam penerapan pembelajaran model CTL dan CIRC kelas IV SDN Sidorejo Lor 03 Salatiga.
Analysis Capability in Resolving Literasi Math Students About the Arithmetic
Authors: Hamid Abdurahman
Published: December 2024

Literasi matematika adalah kemampuan siswa dalam merumuskan, menerapkan, serta menguraikan matematika ke dalam berbagai konteks. Kemampuan pokok sebagai dasar dalam literasi matematika adalah komunikasi, matematisasi, representasi, penalaran dan pemberian alasan, strategi dalam memecahkan masalah, penggunaan simbol dan pengoperasian serta penggunaan alat matematika. Penelitian ini bertujuan untuk mendiskripsikan kemampuan literasi siswa kelas X SMA pada materi Barisan Aritmatika. Metode penelitian ini menggunakan deskriptif kualitatif. Subjek penelitian adalah siswa kelas X SMA Negeri 3 Makassar. Penelitian ini menggunakan instrumen tes, dan dokumentasi. Teknik analisis data menggunakan metode alur dengan pengumpulan data, reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian membuktikan bahwa kemampuan literasi matematika siswa pada materi Barisan Aritmatika memberikan hasil yang baik. Hal ini ditunjukkan dengan kemampuan penyelesaian soal Barisan Aritmatika siswa yang memiliki kemampuan merencanakan strategi yang digunakan untuk menyelesaikan masalah, penggunaan operasi dan bahasa simbol, bahasa formal, dan bahasa teknis, penalaran dan pemberian alasan yang cukup baik.
A review of the progress for hydrocarbon migration technology: Mainstream methods, frontier trends, and future prospects
Authors: Zhang Zhaochen , Wang Linyu , Zhang Hongbin , Wu Dongzi , Zhang Chenhe
Published: December 2024

Oil and natural gas, as fluid minerals, flow within the Earth’s crust under the influence of various driving forces such as pressure, buoyancy, and gravity. This phenomenon is known as hydrocarbon migration. Hydrocarbon migration is a crucial component of the reservoir formation process, and accurately analyzing its direction affects the precision of trap prediction, well positioning, reservoir size, and morphology evaluation, thereby influencing the difficulty and cost of hydrocarbon development. However, most of the currently discovered hydrocarbon reservoirs have undergone multiple transformations or destructions, increasing the challenges of hydrocarbon development. Through an extensive literature review, this paper summarizes and categorizes the main current methods of studying hydrocarbon migration, including sedimentological methods, geochemical tracers, numerical simulation, and geophysical methods. Furthermore, this paper discusses and explores the frontier trends in hydrocarbon migration, mainly reflected in artificial intelligence (AI) methods, digital oil fields, geological big data analysis, and high-resolution seismic imaging technology. Looking to the future, there are significant opportunities in hydrocarbon migration research in data integration and intelligent analysis, high-resolution detection technology, digitization and automation, and the application of green technologies. However, there are also severe challenges regarding data quality and integration, the complexity and uncertainty of models, environmental and safety concerns, technology costs, and interdisciplinary collaboration. In conclusion, this paper clarifies the hydrocarbon migration process by reviewing, summarizing, and analyzing existing literature to understand hydrocarbon reservoirs’ formation and distribution patterns. It also delves into the mainstream methods, frontier trends, and prospects of hydrocarbon migration technology, providing valuable insights for future research.
Use of rigid dressings versus soft dressings in the management of lower limb amputations: a systematic review protocol
Authors: Chua WY , Mohamed A , Smith G , Carradice D , Ravindhran B , Lim A , Aylward K , Chetter I
Published: December 2024

Use of rigid dressings versus soft dressings in the management of lower limb amputations: a systematic review protocol