bluuebunny/crossref_metadata_2025 huggingface dataset:
A survey targeting exotic Aedes mosquito species in Central Europe, summer 2023, reveals the extensive occurrence of Aedes japonicus in Poland
Authors: Schaffner F. , Kwaśnik M. , Myczko Ł. , Rożek W. , Eritja R. , Lippert S. , Weigand A. , Werner D. , Kampen H. , Rudolf I. , Šikutová S. , Čabanová V. , Wint G.R.W. , Leszczyńska J.
Published: August 2024

In the frame of the entomological VectorNet network and its capacity building activities, we collected original mosquito distribution data in southern Poland and bordering areas of the Czech Republic, Germany and Slovakia, in June and September–November 2023. Because of the suspected occurrence of Aedes japonicus or Ae. koreicus in Poland, provided by a photo posted early 2022 on iNaturalist, we targeted the exotic Aedes species in our sampling strategy, but also collected data on other mosquito species. Besides some adult catches, we mainly collected mosquito immature stages from artificial and natural water containers but occasionally from other aquatic habitats. In addition, we collated citizen data and modelled the distribution of Ae. japonicus in Europe incorporating the newly collected data. During this snapshot field study, a total of 162 samples, including 139 yielding mosquitoes, were taken from 111 locations across 47 administrative units, resulting on the detection of 22 mosquito taxa. Our study provides the first substantiated records of Ae. japonicus and Anopheles petragnani in Poland (the second confirmed by molecular identification). While Ae. japonicus is clearly established over a large part of the country, no other exotic mosquito species was detected. The presence of Ae. japonicus was also confirmed at one location by four citizen records submitted to MosquitoAlert in 2023. Regarding native mosquitoes, we identified their presence in 127 species/NUTS3 combinations (113 for Poland, including a single record for An. petragnani). An updated modelling of the distribution of Ae. japonicus suggests higher environment suitability in Central and Eastern Europe than has been previously estimated. Aedes japonicus is probably widespread in the Czech Republic and Slovakia, and might soon colonise the bordering region of Ukraine. Its establishment extends the putative mosquito vector list for West Nile and Rift Valley fever viruses in Central Europe.
Perancangan Sistem Penjualan Berbasis Web Pada Percetakan Daffa Printer
Authors: Arrosid Nabil daffa
Published: August 2024

Transaksi penjualan dan pembelian sekarang tidak hanya terpaku hanya sebatas transaksi langsung, di era sekarang banyak penjualan dengan sistem online. Dengan permasalahan tersebut maka dibuatlah sistem penjualan berbasis web pada percetakan daffa printer.
Proses pengembangan mengikuti metodologi agile, melibatkan tahapan seperti pengumpulan kebutuhan, desain sistem, pengujian, dan implementasi. Sistem ini mencakup fitur-fitur penting seperti manajemen katalog produk, pemesanan online, laporan penjualan secara online dan menghasilkan outpout nota yang bisa dicetak sebagai pdf.
Sistem ini akan dibuat menggunakan metode waterfall sdlc. Dibuat menggunakan bahasa pemrograman html css sebagai frontend atau latar depan dan php sebagai backend. Diharapkan nantinya ini bisa membantu pelaku usaha umkm ini lebih meningkatkan keuntungan di penjualanya.
 
Sales and purchase transactions are now not only centralized, only limited to direct transactions, in this era, many sales are done with an online system. With these problems, a web-based sales system was created for daffa printer printing.
The development process follows an agile methodology, involving stages such as requirements gathering, system design, testing, and implementation. This system includes important features such as product catalog management, online ordering, online sales reports and generate output notes that can be printed as pdf.
This system will be made using the SDLC waterfall method. Created using the HTML CSS programming language as the frontend or foreground and php as the backend. It is hoped that later this can help these MSME business actors further increase profits in their sales.
Rancang Bangun E-Order pada Cafe Riverside Berbasis Web
Authors: Yoga Tedirama Putra
Published: August 2024

Cafe Riverside merupakan tempat usaha yang menyajikan menu makanan dan minuman yangdijual secara umum kepada masyarakat serta menyediakan tempat kepada pengunjung untukmenikmati hidangan dan berinteraksi. Selama Ini, proses pemesanan menu dilakukan secaramanual, yaitu dengan menggunakannota pemesanan. Dari proses tersebut dapat menimbulkanbeberapa masalah, seperti: pelayanan yang kurang memuaskan terhadap pengunjung,harusmenunggu pramuniaga ke meja dan keterlambatan pemesanan menu. Aplikasi pemesananmenu dirancang menggunakan Framework Laravel serta perangkat wifi dan barcode yangdigunakan sebagai media pemesanan untuk digunakan oleh beberapa pengguna, sepertipengunjung, pelayan, dapur, dan kasir. Penelitian ini bertujuan untuk membangun aplikasisistem informasi pemesanan berbasis web secara sistematis, terstruktur dan terarah. Hasil daritugas akhir ini adalah telah dibuatnya aplikasi pemesanan menu makanan berbasis web di CafeRiverside.
Hybrid Lattice Boltzmann and Finite Difference Model for Simulating Electrohydrodynamic Effects on Multicomponent Viscoelastic Fluids
Authors:   , Zhao Jiachen
Published: August 2024

This research develops a hybrid numerical model to investigate the electrohydrodynamic effects on multicomponent viscoelastic fluids. By combining the lattice Boltzmann and finite difference methods, this fundamental study reveals how electric fields influence fluid dynamics at the microscale. The findings offer new insights for precise control of fluid behaviours in various practical applications, such as droplet generation in microfluidics for drug delivery, thus enhancing efficiency and performance.
PENGARUH	TRANSPARANSI DAN AKUNTABILITAS PENGELOLAAN DANA DESA TERHADAP KINERJA PEMERINTAH DESA (STUDI PADA PEMERINTAH DESA KECAMATAN DAWUAN KABUPATEN SUBANG)
Authors: Rohaeni Siti
Published: August 2024

This study, which examines the village government of Dawuan District, Subang Regency, attempts to ascertain the impact of accountability and transparency in village fund management on the functioning of village governments. This study employed a quantitative methodology that included a descriptive and verification approach. This approach makes use of primary data by sending out surveys. Ten villages in the Dawuan subdistrict made up the study's sample, and 47 persons participated as respondents. Purposive sampling is used in the sampling procedure. Analysis using multiple linear regression is the analytical technique employed. The study's findings demonstrate that village government performance is positively and significantly impacted by partial accountability and openness in village budget management. The functioning of the village government is positively and significantly impacted by the openness and accountability of the village fund management process.
Effect of Super Brain Yoga on Cognitive Functions among School Children: A Study Protocol on Randomized Controlled Trial
Authors: D Lingeswari , A Gayathri , P Kumaresan
Published: August 2024

Background: School children face a lot of stress due to poor academic performance. Long-term low academic performance in primary and secondary schools may even lead to depression in teenage years. The assessment of cognitive functions may help in the evaluation of students’ functional capacity. Super Brain Yoga (SBY) is one of the yogic technique in ancient practice used improve their learning.
Methodology: In this research, we are adopting randomized controlled trial with a sample size of 100. Subjects will be recruited from a private school, Chengalpattu. Subjects will be divided into 2 two groups namely, intervention and control group with 50 subjects in each group. Intervention group subjects will be practising 3 sets (1 set is 18 counts) of SBY for 6 weeks. Pre and post assessment will be done. Reaction Time (RT) and Critical Flicker Fusion Frequency (CFFF) will be used to assess the cognitive functions.
Results: Pre and post data will be analysed using ‘R’ statistical software. Data will be presented in bar diagram using mean value. In this study p value < 0.05 will be considered as statistically significant.
Conclusion: If this present study shows significant changes in the cognitive functions, then SBY may be incorporated as regular practices among school children to improve academic performance and mental health.

Key words: Yoga, Cognitive function, School Children, Mental Health, Learning and Performance.
METODE PENGAMANAN KESELAMATAN KERJA PADA BANGUNAN GEDUNG BERTINGKAT
Authors: Putri Noni Saomi
Published: August 2024

Keselamatan kerja merupakan aspek penting dalam industri konstruksi, terutama pada bangunan gedung bertingkat. Kegiatan konstruksi yang dilakukan pada ketinggian dapat meningkatkan resiko pada kecelakaan kerja yang serius. Aspek keselamatan kerja yang perlu diamati meliputi kesehatan dan keamanan kerja oleh para pekerja dibidang konstruksi dan dampak lingkungan sekitar proyek. Untuk itu perlu diperhatikan khusus dengan upaya risiko serta upaya pengendaliannya. Oleh karena itu, terdapat berbagai jenis risiko dan dapat diketahui seberapa besarnta potensi bahaya yang akan terjadi dilapangan kerja. Maka diperlukan metode pengamanan yang efektif untuk mencegah terjadinya kecelakaan dan cedera pada pekerja. Metode yang dibahas meliputi penggunaan alat pelindung diri (APD), pelatihan keselamatan, selalu mengikuti SOP, Penyediaan rambu-rambu keselamatan pada proyek, penerapan prosedur kerja yang aman, dan pengawasan serta inpeksi rutin. Dalam jurnal ini, akan dibahas berbagai metode pengamanan keselamatan kerja yang dapat diterapkan pada proyek konstruksi gedung bertingkat.
Prevalence of Mycotoxin-Producing Fungi in Brassica Oleracea sold in Port Harcourt Metropolis, Nigeria
Authors: S. O. Minimah, , A. B. Nwauzoma, , E. C. Chuku, , F. W. Nmom,
Published: August 2024

This study investigated the prevalence of mycotoxin-producing fungi from Brassica oleracea sold in Port Harcourt metropolis, Nigeria using molecular techniques. Brassica oleracea showing signs of fungal infestations were collected from markets across Port Harcourt Metropolis, Nigeria. The samples were first observed for signs and symptoms. Fungi were isolated from the vegetable following standard methods. Capacity to produce mycotoxin by the fungal isolates was investigated by polymerase chain reaction (PCR)-based screening of the isolates. The presence of five mycotoxigenic genes: nor1, tri6, otanps, fum13 and Zea encoding for the following mycotoxins: aflatoxin, trichothecene, Ochratoxin A, fumonisin, and zearalenone, respectively were evaluated. Fourteen fungi were isolated from the vegetable, out of which four isolates were positive for mycotoxigenic genes. This represents a 28.6% prevalence rate. The mycotoxigenic genes found in the isolates included Ochratoxin A, Trichothecene and Aflatoxin. Trichothecene was produced by Pithomyces chartarum RCBBR_Sf5 and Fusarium longifundum RCBBR_Mf4 while aflatoxin and ochratoxin A were produced by Trametes duplexa RCBBR_Mf1 and Trametes versicolor RCBBR_Sf2a, respectively. The ITS gene sequences of the four fungi have been deposited in GenBank under the accession numbers OR816040; OR816043-OR816045. This study has demonstrated that mycotoxin-producing fungi are prevalent in Brassica oleracea sold in Port Harcourt Metropolis. This observation raises both public health and food security concerns.
Patients Experience and Satisfaction with a Nurse-Led Diabetes Clinic Service Set Up by The Organisation of Sierra Leonean Healthcare Professionals Abroad (TOSHPA) at the Bo Government Hospital in Sierra Leone
Authors: S. M. Ibrahim , L. K. Mariama , K. K. R. Mimi , M. J. F. Elizabeth , K. F. Francess , K. B. Natasha
Published: August 2024

Patient experience and satisfaction are two important quality measurement indices used to evaluate services especially in healthcare settings. In December 2023, a nurse-led diabetes clinic was inaugurated at the Bo Government Hospital (BGH). This patient satisfaction survey reports on the experiences and satisfaction with care received at the nurse-led diabetes clinic by a representative sample of the attending patient population. Methods: This was a cross-sectional survey. Data was collected via questionnaire. The participants were consenting adults, over the age of 18 years. Females and males were equally allowed to participate in the survey. A total of 134 fully completed questionnaires were returned and included in the data analysis. Results: The findings in this survey showed that the participants recorded high positive rating scores for various patient satisfaction parameters, including satisfaction with quality of care received, cleanliness/comfort of the clinic facility, friendliness/compassion of clinic staff, time spent with clinic staff, diagnoses, treatment plans, usefulness of the advice received and confidence in following advice received. Conclusion: The new BGH nurse-led diabetes clinic appears to be well accepted by the patients attending BGH and has quickly established itself as a valuable service for diabetes care. The nurse-led clinic approach appears to add good value to patients’ diabetes care service experience at the Bo Government Hospital in Sierra Leone.
The Impact of Political Materialism on Voter Apathy in Nigeria: A Mixed-Methods Study
Authors: D. S. I. Mary , F. C. Chilaka , J. M. Degi , D. P. Yonmo
Published: August 2024

This paper examines the relationship between materialistic politics and voter apathy in Nigeria’s democratic processes. The study explores how the competitive pursuit of wealth and power among political elites, often prioritized over public service, contributes to growing disengagement among voters. Factors investigated include eroding trust in political institutions, widespread corruption, and elected officials’ failure to address pressing socioeconomic issues. The influence of material incentives, such as financial inducements and patronage, is also considered. Anchored in Rational Choice theory, which posits that individuals act to maximize self-interest based on available information and potential outcomes, the research employs a mixed-methods approach. Data was collected through literature review and in-depth interviews with adult citizens, including representatives from political parties, civil society organizations, and professional bodies across Nigeria’s six geopolitical zones. The findings highlight the need for a comprehensive re-evaluation of Nigeria’s political landscape, emphasizing a shift from materialistic gains to effective governance and inclusive development. The study recommends addressing the root causes of voter apathy to revitalizing Nigerian democracy, making it more inclusive, responsive, and representative of the people’s will.
Challenges and Prospects of Career Choice amongst Senior Secondary Three (SSIII) Students in Obot Akara Local Government Area, Akwa Ibom State
Authors: A. E. Ekanem, , M. E. Asuquo,
Published: August 2024

This study seeks to explore career choices, challenges and prospects amongst SSIII students in Comprehensive Secondary School Ntoedino, Methodist Secondary School Ntodang and FIDA Secondary School, Ntonguno, all in Obot Akara Local Government Area. Survey research design was adopted for the study. The study population comprised of students from the above named school. A sample size of 150 students was gotten through simple random sampling technique, and data were analysed using simple percentage. Findings from the study revealed that, right career choice is influenced by role models like teachers, parents, educators and guardians as 86% of the study respondents attested to this. It was also deduced that, the child alone, without the adult’s guidance/counseling cannot make the right career choice. On the effect of resources/finances on right career choice, 90% being majority agreed to the assertion that most of the poor parents who send their children to public schools, have no proper orientation and are unable to educate their children properly on right career choice; and so, majority accepted the fact that, poverty affects right career choice/course of study. From the analysis it was concluded that, there were a lot of lapses with regards to proper choice of career/course of study by students in senior classes in public schools. However, the study recommended that, proper orientation/sensitization must be done by families, teachers, educators, role models, exposed friends, counselors, parents and relatives. Even at that, children should be given free hands to make their choices based on innate potentialities and not imposing courses of study/career on them. Moreover, to help students from poor background, examination like NECO, WAEC, JAMB should be made free to students in public schools.
Influence of Gratification on Political Reporting in Nigeria (A Case Study of Magic FM, Aba, Abia State, Nigeria)
Authors: Ugochukwu Obasi Heavens
Published: August 2024

This research study aims to examine the impact of gratification on political relationships in Nigeria. The Nigerian media system is characterized by a high level of government interference and limited freedom of expression. It is therefore relevant to examine the extent to which gratification shapes the political reporting of Nigerian journalists.
The study employed a mixed research method involving the use of semi-structured interviews and content analysis of news articles. A purposive sampling technique was used to select 50 journalists covering political news in Nigeria. The interviews were conducted to discover the underlying reasons that influence their decision-making process in covering political news. Content analysis was used to examine the content of political articles to determine the extent to which it is influenced by satisfaction.
The findings revealed that satisfaction plays an important role in how journalists cover politics in Nigeria. Journalists received gifts, favors and money in exchange for favorable political news coverage. These rewards have affected his objectivity, professionalism and credibility. Furthermore, the results revealed that government officials are the most important source of rewards that journalists receive.
Content analysis revealed that reporting on political news in Nigeria was biased, unprofessional and lacked objectivity. The reports were often biased towards the interests of government officials who liked the reporters. The results also showed that the most publicized political issues in Nigeria were those favoring government officials.
Implications of the study suggest that satisfaction should be addressed to improve the quality of political reporting in Nigeria. It is recommended that media organizations regularly provide training and education to journalists on ethics, professionalism and objectivity. In addition, the government should enforce laws that criminalize gratification, and journalists should be encouraged to report any acts of gratification.
This study provides insight into the impact of satisfaction on political journalism in Nigeria. The findings suggest that satisfaction is an important factor influencing the objectivity, professionalism and credibility of political reporting in Nigeria. The implications of this study are expected to help improve the quality of political reporting in Nigeria and increase public confidence in the work of Nigerian journalists.
AI in English and Math Education: Bridging the Gap Between Theory and Practice
Authors: Rahmanita Zakaria
Published: August 2024

Artificial intelligence (AI) is an emerging technology that has the potential to revolutionize English and Math education through the automation of tasks, the provision of tailored training, and the targeting of individual learning requirements. This article aims to provide a comprehensive examination of how AI is used in English and math education, specifically emphasizing the connection between theoretical concepts and practical execution. This paper explores the role of AI in education, particularly focusing on the English and Mathematics domains, and discusses the objectives and potential benefits that arise from implementing AI in these subjects. This study will utilize a mixed-methods approach to examine the current state of AI integration in both English and mathematics education. This research technique will utilize interviews and questionnaires as qualitative research approaches to collect insights from educators, scholars, and policymakers who possess expertise in the integration of AI. The action research study will be undertaken to evaluate the efficacy of integrating AI into English and mathematical instruction through a collaborative inquiry, planning, and reflection process, considering the particular requirements and circumstances of the educational environment. Ultimately, the combined results indicate that AI possesses substantial capacity to transform English and Mathematic instruction through the automated provision of tasks and tailored training.
Assessing the Impact of Vaccination Strategies and Re-infection Dynamics on Mycobacterium tuberculosis Transmission by Mathematical Modelling
Authors: Naresh Kumar Jothi
Published: August 2024

In this work, we investigated the consequences of an inadequate vaccination along with other exogenous variables such as treatment-associated re-infection and re-infection among former patients. Our models represent six stages: Susceptible population, Vaccinated population, latently infected population, Rate of induced population, Quarantine population and Rate of recover population. In this model, we find out disease-free equilibrium points, reproduction number R_0  is used to control the re-infection rate in the population. Furthermore, the results suggest that even a subpar Mycobacterium tuberculosis vaccine is always successful at reducing the spread of infectious diseases among the population, even though its general effect improves with greater efficacy and penetration. It is demonstrated that a small percentage of the overall population receives immunization in a stable state and vaccine efficacy plays an equal part in decreasing the burden of disease. Based on the numerical simulation, the establishment of the TB disease is decrease and control by the vaccination coverage and efficacy of the treatment. Using an imperfect vaccine can control mycobacterium in the population. The next-generation matrix approach was utilized to determine the effective reproduction number of the proposed system. The utilization of the exponential theory which provided the disease-free equilibrium is stable and coexists endemic equilibrium point. The Lyapunov function were used to determine the disease is globally asymptotically stable. We find out the non-negative (in variant region). We used random data in MATLAB to figure out the result of the model.
A Fuzzy Log-Normal Distribution Model for the Rainfall level of Namakkal District
Authors: Prakasam. S
Published: August 2024

Models of mathematics can accurately and precisely obtain solutions to many complex unsolvable problems in all fields.  In this paper using a few mathematical models we can take the rainfall levels in Namakkal district from 2014 to 2018 and find the highest rainfall year by the fuzzy mean and the fuzzy variance in the Log-Normal distribution.
Synergizing Remote Sensing, Geospatial Intelligence, Applied Nonlinear Analysis, and AI for Sustainable Environmental Monitoring
Authors: N. Shanmugapriya
Published: August 2024

The incorporation of Remote Sensing, Geospatial Intelligence (GEOINT), and Artificial Intelligence (AI) for land cover classification facilitates the efficient gathering of data, sophisticated spatial analysis, and the development of prediction models. This collaborative method improves the precision and promptness of environmental monitoring, bolstering sustainable resource management and proactive decision-making.  The study used an advanced methodology involving a Modified VGG16 model, achieving an outstanding accuracy rate of 97.34%. This approach outperforms traditional algorithms, showcasing its efficacy in precisely classifying land cover categories. The utilization of remote sensing technology enables the effective gathering of data, while GEOINT enhances the spatial analysis capabilities using modern techniques. The AI-powered Modified VGG16 model has exceptional performance in predictive modeling, allowing for the implementation of proactive management measures. The abstract highlights the significant and revolutionary effects of this comprehensive method on environmental monitoring, providing unparalleled capacities for data analysis and decision-making. The findings highlight the importance of cooperation between researchers, policymakers, and industry stakeholders to fully utilize the capabilities of these technologies and tackle obstacles in sustainable environmental management.
A Multi-View Deep Learning Approach for Enhanced Student Academic Performance Prediction
Authors: V. Bakyalakshmi
Published: August 2024

Educational institutions are utilizing Deep Learning (DL) techniques to develop predictive systems that identify students at risk of underperforming based on historical academic data patterns, thereby enhancing their educational outcomes through targeted interventions. From this outlook, an Ensemble Generative Adversarial Network with a Student Accomplishment prediction using the Distinctive DL (EGAN-SADDL) model was designed to generate large-scale student data and predict their academic achievements. However, integrating heterogeneous kinds of student data into the SADDL model is a complex task that, if not executed properly, may result in the model failing to capture crucial data relationships, leading to lower performance. Hence, this paper proposes an EGAN with Improved SADDL (EGAN-ISADDL) model based on multi-view learning for predicting student academic performance. The main aim of this model is to learn features from multiple sources, including academic records, demographic information, and social media activity, using the multi-view learning approach. First, the academic and demographic attributes of students are collected, along with the physiological features extracted from the information posted on social media by students. Second, the Long Short-Term Memory with Deep Convolutional Neural Network (LSTM-DCNN) and Recursive Neural Network (ReNN) models receive these features in parallel, extracting intermediate features in multiple views. Third, a multi-view classifier jointly learns each set of features to predict students' academic performance, enabling early identification of at-risk students with high accuracy. Finally, experiments conducted on a dataset of 50,000 student records demonstrate that EGAN-ISADDL attains 96.28% accuracy compared to the existing single-view learning models.
Fidelity-Guided Restoration: Balancing Noise Reduction and Texture Preservation for Enhanced Image Details
Authors: V. Kalpana
Published: August 2024

Image restoration algorithms strive to reduce noise while retaining crucial Features and textures. Integrating the reduction of noise with texture retention remains an ongoing difficulty image restoration. In this study, we introduce Fidelity-Guided Restoration (FGR), a novel method that incorporates fidelity regularization to improve restoration quality.FGR utilizes the fidelity between the degraded and restored images to guide the restoration process. This technique encourages the algorithm to maintain fine details and textures present in the degraded input while effectively reducing noise. Implemented using convolutional neural networks (CNNs), FGR captures both low-level and high-level features essential for learning intricate patterns and textures. Additionally, perceptual loss functions are employed during training to further enhance the preservation of higher-level features.Our research findings reveal that FGR exceeds the present modern methods in terms of detail preservation and texture enhancement. Comparative evaluations on benchmark datasets confirm that FGR achieves a superior balance between noise reduction and texture preservation. Ablation studies underscore the critical role of fidelity regularization and perceptual loss functions in the restoration process.In summary, Fidelity-Guided Restoration offers a promising solution for image restoration tasks that require both noise reduction and texture preservation. By focusing on fidelity and perceptual features, FGR produces visually appealing and high-quality restored images, making it suitable for a variety of image restoration challenges.
Enhanced Lung Cancer Detection via Modified Fuzzy Analytic Hierarchy Process and FuzSquResMobileNet
Authors: A. Aruna
Published: August 2024

Lung cancer emphasizes the vital need of early detection in order to increase survival rates due to its high incidence of death worldwide. An effective methodology for lung cancer detection is proposed utilizing the Modified Fuzzy Analytic Hierarchy Process, a hybrid optimization algorithm. Gaussian filter and a modified Contrast Limited Adaptive Histogram Equalization (CLAHE) are employed for reliable pre-processing. This enhances the image quality and facilitates additional analysis. A novel hybrid ChimpGaz optimization that combines the optimizations of Gazelle and Chimp is employed to fine-tune the Mask R-CNN algorithm for Region of Interest (ROI) identification. This guarantees ideal parameter configurations for precise ROI division. A wide range of descriptors are used in feature extraction, such as shape features (area, circularity, and perimeter), geometric features (centroid, Euler number, and convexity), color features and texture features (Local Directional Patterns, or LDP, and Gabor Local Binary Patterns, or GLBP). These features are ranked using a Modified Fuzzy Analytic Hierarchy Process (AHP) that includes sigmoid membership functions customized for every feature. The hybrid optimization algorithm improves membership functions even more, strengthening the ranking system's capacity for discrimination. The proposed detection model, called "FuzSquResMobileNet," combines a sophisticated ensemble of pre-trained deep learning models (SqueezeNet, ResNet101, MobileNetv2) with fuzzy logic-based preliminary detection. Overall detection accuracy is improved by this fusion because it guarantees a thorough approach to feature extraction. Through incorporating fuzzy logic and deep learning, the methodology provides a promising avenue for effective and precise lung cancer detection, contributing to early intervention and improved patient outcomes.
Fuzzy Membership Partition Based Effective Hierarchical Agglomerative Flat Clustering Method for High Dimensional Data
Authors: S. Sivasankari
Published: August 2024

Introduction: Hierarchical clustering is an unsupervised powerful method for empirical knowledge interpretation from data. It has a fundamental role in understanding the complex pattern in huge datasets. It creates a hierarchical representation of data by forming clusters in two ways namely Agglomerative (Bottom-up) and Divisive (Top-Down). The main advantage is that it does not need to fix number of clusters. Objectives: To handle the issues such as, the pertinence for enormous data is minimal as the computational complexity is high in using Hierarchical clustering, complication of fixing Threshold value in Dendrogram height while combining Flat clustering, and non existence of mathematical objective function to assess the Hierarchical clustering. Methods: On focusing on these challenges, this work proposes (a) a liner split of data in order to reduce the computational complexity in Hierarchical Agglomerative clustering. (b) Fuzzy Partition matrix is created to enhance the cluster generation in Hierarchical clustering. (c) this work applies an objective function in Flat Clustering to ease the process of fixing threshold.Implementation, Results:This work is implemented in Rapidminer tool. The Sum of Squares, Cluster Density and Processing Time is minimized in th e proposed work.Conclusions:  The proposed method handles enormous data effectively using linear split with sequential execution, the proposed usage of a sum of squares fixes a optimum threshold value in dendrogram height while transforming the dendrogram to flat clusters, the proposed method improves the existing Hierarchical clustering effectively.
An Improved Collaborative User Product Recommendation System Using Computational Intelligence with Association Rules
Authors: R. Renukadevi
Published: August 2024

In order to address the issue of information overload, recommendation systems have grown in popularity in recent years. They do this by presenting users with the most relevant products from a vast quantity of data. Online collaborative product recommendations aim to help people find their favorite products by identifying exactly identical neighbors between persons or products based on their shared ratings in the past. However, with the rapidly growing number of items and users, neighbor selection becomes more challenging due to the scant data. This research proposes a hybrid model-based product recommendation system that divides transformed user space using the improved Apriori algorithms. In order to densely classify products, it uses the principle component analysis data reduction technique, which may also lessen the computational complexity of intelligent product recommendations. When compared to the current methods, the experiment findings show that the suggested strategy may produce more dependable and customized product recommendations in addition to offering excellent accuracy performance.
Optimizing Cluster Head Selection in Wireless Sensor Networks Using Mathematical Modeling and Statistical Analysis of The Hybrid Energy-Efficient Distributed (HEED) Algorithm
Authors: Sandip Kanase
Published: August 2024

Only two of the various applications for Wireless Sensor Networks (WSNs) are environmental monitoring and smart city infrastructure. Mostly the efficacy of these networks depends on the choice of cluster heads, which manage data aggregation and communication. Conventional approaches as the Hybrid Energy-Efficient Distributed (HEED) algorithm have become relatively popular for cluster head selection because of their simplicity and efficiency. These techniques, meanwhile, sometimes assume a homogeneous node distribution—hardly the case in real-world scenarios. From this follows lower network lifetime and less than optimum energy consumption. Extending network lifetime and improving energy economy depend mostly on maximizing cluster head selection in non-uniformly distributed WSNs. The standard HEED approach ignores the non-uniformity in node distribution, so inefficient energy use and reduced performance can follow. This article provides a new way integrating mathematical modeling and statistical analysis with a non-uniform deep artificial neural network (ANN) to improve the HEED algorithm. The proposed method combines this information with the spatial distribution of sensor nodes using a deep ANN, so simulating the cluster head selecting process. Trained to predict perfect cluster heads, the ANN is evaluated in terms of node density, energy levels, and communication expenses. Mathematical modeling of the network's energy dynamics yields validations for the model using statistical analysis. The optimal approach was tested in a simulated WSN environment including non-uniform node distribution. Compared to the traditional HEED method, results reveal a 25% increase in network lifetime and a 30% drop in energy use. Moreover showing a clear improvement in data aggregation performance, the deep ANN-based approach cut the communication overhead by 20%.
Advanced Nonlinear Analysis Technique in Modern Transposition Ciphers
Authors: G. M. Karpura Dheepan
Published: August 2024

Particularly with modern transposition ciphers, the evolving field of cryptography requires advances in safe encryption methods. The key problem fixed is the absence of robust security against advanced cryptanalytic methods provided by traditional transposition ciphers. This work uses chaos theory to automate the production of substitution boxes (S-boxes), which are fundamental to transposition ciphers, so addressing this constraint. Strong nonlinearity and resistance to differential and linear cryptanalysis are produced by the proposed method by combining chaos-driven algorithms. The experimental data emphasizes the relative efficiency of the chaos-driven S-box to traditional transposition ciphers. In nonlinearity and differential uniformity, the chaos-driven S-box considerably exceeds the performance of the Columnar Transposition Cipher, Rail Fence Cipher, and Permutation Cipher achieving values of 65.00 to 78.00 and 2 respectively. considerable resistance to both linear and differential cryptanalysis indicated by this low differential uniformity and considerable nonlinearity greatly enhances its security profile.
Integration of AI to Increase Efficiency in Smart Semi-Conductor Wafer Inspection Systems.
Authors: Balakumar Muniandi
Published: August 2024

The semiconductor industry demands precise and efficient wafer inspection systems to maintain high standards of quality and yield. Traditional inspection methods, which rely heavily on manual inspection and rule-based systems, often fall short in handling the increasing complexity and miniaturization of semiconductor devices. This paper presents an innovative approach to semiconductor wafer inspection by integrating artificial intelligence (AI) techniques to enhance efficiency and accuracy. By leveraging deep learning models, particularly convolutional neural networks (CNNs), we develop an advanced inspection system capable of detecting a wide range of defects with higher precision. The proposed AI-based system is trained on extensive datasets comprising various defect types and patterns, allowing it to learn and generalize from complex data. Additionally, the robustness of the system is validated under different operating conditions, proving its reliability in real-world applications. This study underscores the critical role of AI in modernizing semiconductor wafer inspection systems, offering a pathway to increased productivity and reduced downtime. The findings emphasize the transformative impact of AI-driven solutions in enhancing the quality control and operational efficiency of semiconductor manufacturing, ultimately contributing to more reliable and cost-effective production processes.
Imagem e cidade
Authors: Junior Rafael Alves Pinto
Published: August 2024

Este trabalho objetiva estudar a proposta da realização do Monumento ao Homem Brasileiro, idealizado por Gustavo Capanema para o átrio externo do Edifício do Ministério da Educação e Saúde (1943). Este Monumento não foi realizado, apesar de incorporado aos estudos de Le Corbusier para o edifício, e descartado pela equipe brasileira. Essa obra, apesar de não ter sido realizada, é emblemática, por caracterizar uma preocupação de afirmação de uma visualidade comum à arte e a arquitetura modernista brasileira das décadas de 1930-1940, bem como a construção de uma identidade nacional.
“Apertar os cintos”
Authors: Pureza Fernando Cauduro
Published: August 2024

O seguinte artigo tem como propósito estruturar o quadro geral de problemas econômicos que afligiram os trabalhadores de Porto Alegre durante o período que o Brasil entrou na Segunda Guerra Mundial, centrada principalmente na escassez de alimentos. No entanto, ao invés de discutir a economia como um processo onde os atores sociais estão passivos, o objetivo aqui é visualizar uma noção de economia mais próxima dos próprios trabalhadores, construída pelas suas experiências na vida doméstica.
Las expectativas de los débiles
Authors: Ullivarri María
Published: August 2024

Este trabajo intenta analizar los procesos de lucha obrera en la provincia de Tucumán, al norte de la Argentina, durante los primeros meses del año 1932 y sus vínculos con los sucesos políticos provinciales. Para ello nos detendremos en una coyuntura de protesta obrera en un momento de crisis política, social y económica, donde la represión fue un componente importante de las relaciones entre el Estado y la sociedad. De esta forma, una huelga violenta en 1932, el contexto político e institucional particular en el que se inscribió, los usos que de ella hicieron los políticos y los sentidos otorgados a la misma por los trabajadores pretenden ser el nudo central de este artículo.
O discurso anticomunista católico e as imagens da Guerra Civil na Espanha
Authors: Lima Pereira Marco Antônio Machado
Published: August 2024

O cerne desta proposta é apresentar algumas reflexões advindas da análise qualitativa da produção de artigos/matérias veiculados pelo periódico católico O Santuário, sobretudo com relação ao advento da Guerra Civil Espanhola. Além disso, parte integrante deste trabalho consiste em estudar e entender o fenômeno do “engajamento” político da Igreja no Brasil.
FARC-EP
Authors: Ceará Diego Barbosa
Published: August 2024

O presente artigo procura analisar o processo histórico de formação e desenvolvimento das Forças Armadas Revolucionárias da Colômbia – Exército Popular (FARC-EP), ao longo dos seus 45 anos de luta. Procuramos mostrar como se desenvolveu o processo organizacional, estratégico e militarista do movimento guerrilheiro em busca do poder.
Uma nova revolução urbana.
Authors: Kempter Eloisa Dezen
Published: August 2024

O presente artigo é parte da pesquisa de doutorado que procura levantar questões consideradas de fundamental importância para refletir sobre a mudança no ambiente urbano devido às rápidas e fundamentais transformações que aconteceram no final do século 20 e que acarretaram diversas transformações no espaço urbano. A passagem do modelo capitalista industrial para o terciário avançado deixou rastros pela cidade: vazios urbanos e grandes áreas industriais obsoletas. A reestruturação produtiva e a recessão econômica ao final dos anos 1970, ao provocar uma crise urbana sem precedentes, conduziu a adoção de programas de reconversão de áreas portuárias e industriais abandonadas ou degradadas.
Los intelectuales latinoamericanos y la construcción cultural del tercer mundo
Authors: Alburquerque Germán
Published: August 2024

El artículo estudia el aporte de los intelectuales latinoamericanos a la definición conceptual del Tercer Mundo y el tercermundismo. Si en principio el Tercer Mundo fue una categoría promovida por las ciencias sociales, en una segunda etapa se le agregó una dimensión cultural. Este trabajo esclarece, en consecuencia, cómo el Tercer Mundo, en tanto concepto e ideología, adquirió connotaciones culturales, proceso en el cual los intelectuales – escritores, artistas, críticos – de América Latina jugaron un rol central.
A política externa da ditadura brasileira durante os “anos de chumbo” (1968-1974)
Authors: Simões Fernandes Ananda
Published: August 2024

Este artigo pretende analisar a política externa durante os “anos de chumbo” da ditadura brasileira a partir da lógica das conexões repressivas estabelecidas entre este regime e os demais países da América Latina. Amparado na noção de “Brasil Potência” e na sistematização e qualificação do aparato repressivo, principalmente após a decretação do Ato Institucional nº 5, a ditadura brasileira passou a exportar técnicas repressivas e a intervir na região, apoiando golpes de Estado.
O papel intervencionista da ditadura civil-militar brasileira na América do Sul.
Authors: Gil Silva Vicente
Published: August 2024

Este texto tem o objetivo de discutir algumas das ações da ditadura civilmilitar brasileira relacionadas a assuntos internos de países vizinhos. Muitas destas ações, além de servirem a interesses do governo brasileiro, serviam também ao objetivo geral da diplomacia estadunidense para a região: a contenção do comunismo. O centro desta análise será o estudo dos casos da intervenção brasileira durante as eleições uruguaias de 1971 e o apoio do Brasil à derrubada de Salvador Allende no Chile. A base documental deste texto são fontes produzidas nos Estados Unidos e trabalhos brasileiros e estadunidenses sobre o tema.
Latino-americanos à procura de um lugar neste século
Authors: Vieira Felipe de Paula Góis
Published: August 2024

O antropólogo Néstor García Canclini, nascido na Argentina em 1939, professor da Universidad Autónoma Metropolitana (UAM) no México e professor convidado das universidades de Stanford, Austin, Barcelona e da USP, tem ganhado cada vez mais espaço no mercado editorial latinoamericano com a publicação de livros sobre estudos culturais, globalização e imaginação urbana. Em Latino-americanos à procura de um lugar neste século, o antropólogo analisa, de maneira pormenorizada, um tema bastante discutido em todo o legado historiográfico latino-americano: a preocupação com a questão da identidade.
Artigas e o artiguismo no discurso político-eleitoral da Frente Ampla
Authors: Lopes Ferreira André
Published: August 2024

Fundada no princípio dos anos 70 como coalizão de partidos de esquerda e grupos progressistas, a Frente Ampla (FA) ingressaria no campo político uruguaio disputando espaço com os tradicionais partidos Colorado e Nacional (Blanco). Nas eleições de 1971, como parte do discurso políticoeleitoral da FA, pode-se notar a presença central da figura de Artigas, herói nacional do Uruguai. No presente artigo analiso como as lideranças frenteamplistas se apropriaram da imagem e memória artiguistas com o objetivo de criar uma identidade comum em torno dos projetos da nova frente partidária.
Os Puppets em combate
Authors: Camurça Correia Daniel
Published: August 2024

Busca-se com este artigo analisar os discursos difundidos por meio dos puppets animation. Desenhistas e cartunistas como Winsor McCay e Charles Bowers desenharam, produziram e venderam histórias em animação referentes à Primeira Grande Guerra Mundial do ponto de vista americano. A problematização dos cartoons circunda em volta da edificação das imagens e discursos sobre os personagens e suas ações nas histórias, revelando facetas e peculiaridades sobre a visão das guerras, bem como os sentimentos que deveriam ser digeridos pelo grande público.
Diplomacia Hollywoodiana
Authors: Gomes Daniel Monteiro Erica
Published: August 2024

O artigo visa discutir a colaboração dos grandes estúdios cinematográficos norte-americanos nos projetos desenvolvidos pelo governo F. D. Roosevelt para a América Latina, no contexto da II Guerra Mundial. Para compreender tal relação, analisaremos a atuação da Motion Pictures Society for the América (MPSA). Sua função era, principalmente, estimular entre os membros da indústria cinematográfica um esforço cooperativo, diante dos projetos governamentais que visavam à utilização do cinema como veículode promoção de melhores relações entre todas as repúblicas americanas, e incentivar produções privadas que remetessem a temáticas relacionadas à guerra.
O ensino profissional feminino na cidade de Curitiba no despontar do século XX
Authors: Castro Trindade Etelvina Maria de , Mimesse Prado Eliane
Published: August 2024

Apresentam-se aspectos do ensino profissional feminino na cidade de Curitiba, nos décadas iniciais do século XX. Objetivou-se entender a inserção dessa mão de obra no mercado de trabalho local e seu acesso a cursos profissionais. As fontes primárias foram compostas por documentos, periódicos e revistas da época. Concluiu-se que o movimento feminino em prol do trabalho foi concomitante às ações da sociedade para torná-lo invisível; essa utilizou reiteradamente ideias tácitas sobre a fragilidade, a ingenuidade intelectual e o papel maternal das mulheres.
Orfeu de Carapinha
Authors: Cano Jefferson
Published: August 2024

Em qualquer bibliografia sobre a história da abolição Luís Gama é figurinha fácil; deve concorrer com Joaquim Nabuco como o abolicionista que mais atenção tem merecido dos pesquisadores. Imagina-se pois a dificuldade que teria para escrever algo de novo quem quisesse escrever mais um trabalho sobre Luís Gama (tanto mais que, se este escrito fosse uma dissertação de mestrado, a novidade nem seria algo absolutamente imprescindível).