bluuebunny/crossref_metadata_2025 huggingface dataset:
Role of Rickettsial Outer Membrane Protein A in the Pathogenesis of Rickettsial Diseases
Authors: Harun Noor Hanisa , Yuhana Muhamad Yazli , Chua Ang-Lim , Wang Seok Mui
Published: June 2024

Diseases caused by Rickettsiales are often overlooked, although they pose important public health concerns. The Rickettsiales family comprises a broad range of intracellular bacteria with distinct evolutionary adaptations, making the development of treatment measures to combat infections, such as vaccines or antibiotics, a challenge. Interestingly, the outer membrane protein A (OmpA) was found to exist in the cell surface of most human pathogenic bacteria in the order Rickettsiales. However, knowledge about OmpA in each species and strain is scattered and ambiguous. In this study, we systematically compiled the existing information on OmpA and its relationship with human pathogenic rickettsiae to serve as a reference for future research. A comprehensive literature search was conducted using specific keywords across five databases. According to the literature, OmpA of spotted fever group rickettsia plays a crucial role as an adhesin and invasin that directly interacts with the surface of mammalian host cells to mediate bacterial localization in host cells. The presence of a premature stop codon in the amino acid sequence resulted in the secretion of non-functional OmpA, which is one of the main reasons for rickettsial strains or species to become avirulent. Similarly, OmpA also functions as an important adhesin in the Anaplasma family when it interacts with the sLex and sLex-like glycan of myeloid and endothelial cells, respectively. However, the OmpA of Anaplasma must be co-functional with the other two adhesins to promote bacterial internalization. Interestingly, certain sites in the amino acid residues of Ehrlichia and Orientia OmpA are predicted to be homologous to the binding domain region of Anaplasma OmpA. It is therefore suggested that OmpA is an important adhesin for bacteria to bind to their specific mammalian host cells.
Screening, Production and Characterization of Potential Lignocellulolytic Actinomycetes from Agricultural Field
Authors: Bhatt Mrunal K. , Das Mousumi B.
Published: June 2024

Actinomycetes are a suitable microbial group for the synthesis of lignocellulose-degrading enzymes. Enzymes that may degrade organic material, including cellulose, hemicellulose, and lignin, are released by actinomycetes. The aim of this research was to isolate actinomycetes from Rajkot, Gujarat, India’s soil and evaluate the activity of their cellulase and Xylanase enzymes. Starch Casein Agar (SCA) was used to identify a total of 30 isolates of actinomycetes. A qualitative plate assay (CMC-Na, Congo red) revealed that the highest zone of catalysis for MMD1 was 36 mm. Five strains were discovered to be effective for quantitative quantification of endoglucanase utilising filter paper and CMC as substrates: MMD1, MMD2, MMD3, MMD4, and MMD8. Following MMD 1 (endoglucanase 5.4 IU; FPase 4.4 IU), MMD 2 (endoglucanase 4.5 IU; FPase 3.4 IU) has demonstrated considerable endoglucanase and FPase activity. Beechwood xylan was used to treat sugarcane bagasse in order to test Xylanase, and 45% of the xylan (hemicellulose) fraction was obtained. MMD1 and MMD2 measured the xylanase enzyme activity (4.8IU and 4.2IU) in quantitative and qualitative assays (34 mm and 22 mm for BWX and 32 mm and 14 mm for agro-waste xylan). The strain MMD1 was identified as Streptomyces chartreusis through morphological, biochemical, and finally molecular characterization by 16S rRNA sequencing. It was then submitted to NCBI GenBank with the accession number MT254830.
Palmitic Acid Synthesis from Coconut Oil Cake Waste using Probiotic Bacteria of Marine Fishes
Authors: Visali Kannan , Rubavathi Anandan , Jayasri Sembulingam , Vimali Elamathi , Murugan Athiappan
Published: June 2024

Palmitic acid is used in cosmetics as well as skin care products, and its extraction from plants remains major source of production. The conventional process of extraction is quite laborious and may lead to loss of plant diversity. Therefore, the current investigation aims at producing palmitic acid from coconut oilcake using probiotics isolated from marine fish. A total of 18 bacterial strains were isolated from Indian oil Sardine fish (Sardinella longiceps) and Obtuse barracuda fish (Sphyraena obtusata). Among various strains isolated, Mm12 strain was able to synthesize 60.57 mg/100mL fatty acids. The production of palmitic acid was optimized using RSM with the most appropriate values of the tested parameters by using Design-Expert 13 to resolve the correlation coefficients binomial equation’s reciprocal matrix as temperature 10°C, pH 5.5, and 40 g oil cake substrate. The highest quantity of palmitic acid that could be produced under ideal circumstances has been estimated to be 19.97 mg/100 mL which was confirmed by GC–MS fatty acid methyl ester (FAME) analysis. Production of palmitic acids from the oil cake was not only a novel method of valorizing industrial waste using probiotic bacteria and but also a promising method of producing palmitate using cheaper substrates.
Bacterial Diversity in Al-Asfar Lake, Al Ahsa Oasis, Saudi Arabia
Authors: Al Mousa Abeer , Aldayel Munirah , Genena Marwa A.M. , El-Moaty Zeinab A. , Khalifa Ashraf
Published: June 2024

This study aimed to investigate bacterial diversity in Al-Asfar Lake, Al Ahsa Oasis, Saudi Arabia, based on a polyphasic approach. Water samples were collected and divided into two parts. For the culture-dependent approach, different media such as Tryptic Soy Agar (TSA), and Blood Agar (BA) were used. The obtained 29 isolates were diverse with respect to phenotypic characteristics revealed by VITEK. 18 isolates were selected for 16S rRNA sequencing based on the initial screening by VITEK. Since some types of bacteria do not grow on media, the DNA in the second part was isolated directly and subjected to metagenomic analysis. VITEK disclosed a total of 19 species belonging to 3 phyla: Pseudomonadota, Actinomycetota, and Bacillota, while the 16S rRNA sequencing revealed 12 species that could be amplified and sequenced. Metagenomic analysis exhibited variation in the relative abundance of 13 phyla, 18 classes, 20 families, 16 genera, and 24 species. Four dominant phyla are represented, including Firmicutes, Cyanobacteria, Bacteroidota, and Proteobacteria, respectively. Furthermore, functional gene screening revealed 33 functional categories including the metabolism of cofactors, vitamins, and xenobiotic biodegradation. This study affords insights into the bacterial diversity and fundamental biogeochemical processes in the lake and paves the way for the potential exploitation of microbial wealth in biotechnological applications.
Polyphenol Contents, Antibacterial and Antioxidant Effects of Four Palestinian Honey Samples, and their Anticancer Effects on Human Breast Cancer Cells
Authors: Abu-Farich Basheer , Hamarshi Hadeel , Masalha Mahmud , Aboulghazi Abderrazak , Kmail Abdalsalam , El Ouassete Mohammed , Imtara Hamada , Lyoussi Badiaa , Saad Bashar
Published: June 2024

The phenolic compounds of four Palestinian honey samples (PH1-PH4) and their antibacterial effects as well as their cytotoxic, cytostatic, and antimigration effects in human breast cancer cell line (MDA) were evaluated here. HPLC analysis of PH2 (Cornflower), PH3 (Milk thistle), and PH4 (Ziziphus) revealed 15 phenolic compounds, namely, caffeic acid, carvacrol, chrysin, ellagic acid, galangin, gallic acid, kaempferol, p-coumaric acid, pinobanksin, pinocembrin, protocatechuic acid, quercetin, rutin, salicylic acid, and silydamin. The minimum inhibitory concentration (MIC) method applied to Pseudomonas aeruginosa (P. aeruginosa), Staphylococcus aureus (S. aureus), and Escherichia coli (E. coli). A strong positive correlation was detected between antimicrobial activity (E. coli) and p-coumaric acid, quercetin, and silydamin. IC50 values for DPPH neutralization varied from 0.19 w/w% to 10 w/w%. The potential anticancer properties of the honey samples were evaluated on MDA cells. Samples PH2 and PH3 demonstrated cytostatic activity, reducing cell viability by about 43% at non-toxic concentration of 4 mg/mL. The cytostatic effects were strongly correlated with the presence of caffeic acid, chrysin, protocatechuic acid, rutin, and salicylic acid (p < 0.01). Moreover, the cell migration rate was significantly reduced (by up to 85%) with PH2 and PH3 compared to untreated cells (p < 0.05). A strong positive correlation was observed between the cytostatic effects of the concentration of carvacrol and Pinocembrin (p < 0.01). Our findings validate honey’s antibacterial properties and suggest its anticancer benefits may stem from cytostatic and antimigration effects.
Design of an Electric Cargo Tricycle (E-Trike Cargo) for the Collection of Recyclable Solid Waste in the City Of Popayán (Phase 1)
Authors: Jaramillo Marlyn Geraldine Bolaños , Chávez Richard Marcelo Imbachi
Published: June 2024

Abstract: This article presents the design of an electric cargo tricycle (E-trike cargo) aimed at improving the management of recyclable solid waste in the city of Popayán, Colombia. The study is divided into three stages: analysis of road infrastructure, implementation of last-mile logistics, and detailed design of the electric tricycle. The first stage analyzes the main road network in downtown Popayán, identifying the most important streets, tourist points, and pedestrian traffic distribution. Traffic patterns are studied, including variability during different times of the day, identifying Calle 4 as a critical congestion point. The conditions of the pavement, signage, road safety, pedestrian and cyclist infrastructure, intersections and crossings, parking, and public transportation are also evaluated. The second stage explores the implementation of last-mile logistics for the collection of recyclable solid waste in downtown Popayán. This includes the use of technologies such as route optimization algorithms, IoT sensors to monitor containers and vehicles, fleet management systems for real-time tracking and control, and mobile applications for drivers and users. The third stage presents the general plans of the E-trike cargo, detailing its components, including the chassis and structure, propulsion system, energy system, sensor systems, comfort and safety features, tires, monitoring and communication systems, and cargo components The analysis of the results highlights the feasibility, environmental impact, and improvements in working conditions that the Etrike cargo can generate. However, it also emphasizes the need for investments, training, and appropriate regulations for its successful implementation. The project concludes that the E-trike cargo is a viable and beneficial solution, but a coordinated effort, supported by adequate investments and institutional support, is required to ensure its sustainability and long-term success. Collaboration between local authorities, the community, and the private sector will be essential to overcome challenges and maximize the benefits of this innovative waste collection solution
An Overview on 3D Printing
Authors: Jha Ashish , Sharma Tanmay , Jain Suyash , Poddar Rahul , Bhatiya Navjot Kaur
Published: June 2024

Abstract: As technology advances, innovations are beginning to appear in the building industry. Among these are the advances made in 3-D printing technology. The materials and methods available at the period are used by civil engineers to construct buildings. Because 3D printing technology is currently faster, less expensive, requires less work, and has a lower error margin than traditional construction methods, it is gaining interest. This technique allows for the production of small-scale, diverse products as well as intricately designed buildings. Creating structures using 3D printing printers requires, first and foremost, 3D model design. A recipe for building materials should be created by determining the proper mixing ratios in order to be able to stack layers on top of one another without collapsing and to carry out 3D printing without shrinkage cracks. The printing layer's breadth and thickness are continuously regulated during the building material placement process, which creates layered production without the need for a Mold. In buildings constructed with this technique, consideration is given to the use of sustainable building materials. Studies are also conducted on the usage of materials with zero waste. This study aims to analyse the literature and provide a quick introduction to this new generation of methods.
Data Encryption using Image Steganography
Authors: Patil Dinesh , Nathwani Meet , Nemane Shivanand , Patil Mohit , Sondkar Shilpa
Published: June 2024

Abstract: In today's world, data is king. Information relies on raw facts, and sharing this data is crucial for collaboration between users, even those in different locations. However, during transfer, data confidentiality and privacy are paramount. We need a way to convert digital data into an unreadable format to protect it from tampering by intruders. Steganography offers a solution, in which the original data will be embedded into a Cover file. If any unauthorized person, try to access the message, the original data will not be visible instead cover file will be visible. This technique hides data within various mediums like images, audio, or video. This paper explores how image steganography can be used to encrypt data.
Blockchain Based Distributed Fundraising Platform
Authors: Chougule Shravani , Avasarikar Anushka , Kapile Atharva , Bhavsar Yash
Published: June 2024

Abstract: This research paper examines blockchain technology’s reframing capabilities in fundraising, with a pivot to using Internet Computer as a decentralized platform. By comparing various blockchain networks such as Ethereum, Bitcoin, and Hyperledger, while examining the main characteristics of blockchain, this paper illuminates the advantages and challenges of each network in the realm of fundraising. Traditional fundraising platforms are collated with blockchain-based alternatives, emphasizing the benefits of security, transparency and efficiency awarded by blockchain technology. Moreover, this paper presents a feature to improve transparency and confidence within blockchain-based fundraising platforms: the ability for charities to upload government-issued tax exemption certificates. These certificates, when uploaded, will be accessible to all platform users, delivering supportable evidence of the charitable status of partaking organisations. This feature seeks to infuse trust among donors and encourage informed decision-making while promoting accountability and integrity within the fundraising ecosystem. Via a thorough study of blockchain technology, relative platform evaluations, and the introduction of ingenious features, this research donates to extending our understanding of the possible impact of blockchain on fundraising approaches and highlights the significance of transparency and trust in charitable efforts
Analysis of 1-bit Full Adders in Cadence 45nm Technology
Authors: Ram L. Adithya , Kumar V. Ajay , Karthik H. , Dakey Sudhir
Published: June 2024

Abstract: A full adder is a digital circuit that performs the arithmetic operation of addition on three binary digits, producing a sum and a carry output. Unlike a half adder, which adds only two binary digits and produces a sum and carry, a full adder considers an additional carry input from a previous less significant bit addition. The full adder's design includes three inputs: A, B, and Cin (carry-in), and two outputs: Sum (sum) and Cout (carry-out). The sum output Sum is derived by XOR-ing the three inputs, while the carry-out Cout is obtained by considering the majority function of the inputs. This means Cout is set when any two or more of the three inputs are high (logical 1). Full adders are fundamental components in the construction of arithmetic logic units (ALUs), binary adders, and other computational circuits in digital systems, enabling the handling of multi-bit binary addition by cascading multiple full adders.
Construction Monitoring and Reporting using Drones and Unmanned Vehicles (UAV’S)
Authors: Bhise Gaurav Sanjay
Published: June 2024

Abstract: The application of drones and Unmanned Aerial Vehicles (UAVs) has significantly expanded in fields such as surveying and facility management. Recent technological advancements have made drones and UAVs more efficient and costeffective for use in architectural engineering and construction management. This study proposes a framework for developing a fully automated system for smart construction monitoring and reporting, utilizing real-time data from drones and UAVs. By employing photogrammetry techniques, data from drone images and point clouds (3D scans of construction sites) can be used to create 3D models. These "drone models" can be compared with Building Information Modeling (BIM) at various stages to monitor construction progress. This integration can extend to real-time recording, reporting, billing verification, and planning. Using a case study, the research demonstrates how drone data effectively enhances construction monitoring and model comparisons. The system can substantially reduce the manual effort required for traditional monitoring, offering improved planning and on-site adjustments
Tiny Ship Detection in Remote Sensing Images
Authors: Nikam Anurag , Jadhav Poonam , Karade Anuj , Shaikh Daanish , Singh Ajay
Published: June 2024

Abstract: Due to the difficulties of complicated settings, it is challenging to detect rotating ships in optical remote sensing photographs. Advanced rotational ship detectors currently in use are algorithms which are anchor-based that call for a large number of preconfigured anchors. However, using anchors has these serious issues: Ad hoc heuristics are used to develop anchor characteristics, e.g. size and aspect ratio. Positive samples are only possible for a very tiny percentage of anchors that closely overlap with the bounding boxes of ships.This causes a large disparity in the proportion of positive and negative samples. Poor anchor design will therefore significantly affect the accuracy of detection. This research suggests a unique framework, to solve the aforementioned issues by identifying ships as keypoints in optical remote sensing images. Ship targets in SKNet are modelled using an object's width, height, rotation angle, and centre keypoint. Given this, we develop two distinct modules: orthogonal pooling and softrotate-nonmaximum suppression (NMS). The former seeks to improve the morphological size and centre keypoint predictability, while the latter effectively removes redundant rotated ship detection results.
Innovative Arduino Accident Prevention Technology
Authors: Prameela Nikku , Poojitha Myadam , Kiran G Sai , Dharani R
Published: June 2024

Abstract: This paper proposes developing a system aimed at enhancing vehicle security and preventing unauthorized occupation. In situations where the driver may be less aware, such as when those are fatigued or under the influence, it can be challenging to maintain vigilance over one's own safety. By equipping all vehicles with an automated system that provides drivers with a high level of protection and alerts, we can significantly improve overall safety. This system includes an alcohol sensor and an eye blinking sensor installed within the vehicles. Upon starting the engine, these sensors automatically detect eye blinking patterns and test the alcohol level in the driver's breath. If the values exceed predetermined thresholds, the system emits alerts such as vibrations and flashing LEDs. Additionally, the vehicle is gradually brought to a stop automatically when signals received from the alcohol or eye blink sensors through the relay module. Furthermore, the system incorporates an MPU6050 sensor to monitor the car's position. If there are changes in the car's angle, calls are sent via the GSM module, allowing emergency services to track the vehicle.In summary, this system aims to enhance vehicle security by integrating advanced sensors and alert systems, despite facing certain inherent limitations and flaws during the implementation process
Detecting Counterfeit Money: An In-depth Exploration of Deep Learning Techniques
Authors: Pannala Akshaya , Goud T. Akshay , Sadarolu Akshaya , Goud L. Akhil , Reddy G. Akshith , Anusha T.
Published: June 2024

Abstract: Proposed a novel approach for identifying counterfeit banknotes usingdeep learning techniques. The proposed method involves pre-processing the imagesof banknotes and then using a Convolutional Neural Network (CNN) to extract features. The CNN is trained on a large dataset of genuine and counterfeit banknotes to learn the underlying patterns of genuine notes and distinguish them fromfake ones. The proposed method has the potential to beimplemented in automated systems todetect counterfeit banknotes in real-time. We have used Keras deep learning library to execute ResNet50 neural net which has 48 convolution layers along with 1 Max pool and 1 Average pool layer which yields70-80% accuracy.
Implementation of Site Quality Management System for a Small-Scale Building Construction Project Sites
Authors: Vishe Tejal , Swamy Prof. R. Mahadeva , Patil Dr. Yashvant
Published: June 2024

Abstract: The construction industry plays a vital role in consistently delivering value and quality to clients, yet grapples with challenges related to quality, resulting in suboptimal outcomes, unsafe structures, and budget overruns. To tackle these issues, the establishment of a Quality Management System (QMS) becomes crucial. This systematic approach ensures both product and process quality, satisfying clients, adhering to regulations, and minimizing rework and waste. The effective implementation of a robust QMS involves various tasks, including business analysis, initial planning, awareness raising, expert training, document control, deployment, measurement and control, auditing, and continuous improvement. This research specifically explores the significance of quality management in small-scale construction projects during the execution phase. Data gathered through interviews and questionnaires with builders/contractors, consultants, and customers/building occupants inform the study, aiming to shed light on the quality management practices of small-scale contractors and their impact on customer satisfaction, operational efficiency, and cost-effectiveness.
GURARDIANPI-Intelligent Home Security and Automation System
Authors: Mohammad  , Rahman Shaik Abdul , Rahman Mohammed Abdul , Sarala B.
Published: June 2024

Abstract: The field of home automation and security has advanced significantly, allowing for the control and monitoring of household systems using a variety of technologies. This paper introduces GuardianPi, a cutting-edge intelligent home security and automation solution. GuardianPi uses a Raspberry Pi to integrate a variety of sensors, including DHT11 for temperature and humidity, RFID for secure entry, and ultrasonic sensor for burglar detection. Users can remotely operate electrical appliances and monitor environmental conditions using a web interface that is accessible from any location in the world. The system delivers email notifications for fire hazards, unlawful entry, and break-ins, allowing for quick and effective reactions to possible threats. GuardianPi’s innovative hardware design and efficient software execution provide a complete and cost-effective solution for modern home control.
Sensorless Field-Oriented Control (FOC) using Sliding Mode Observer for BLDC Motor
Authors: Arif Abdul Hafid , Muslim Muhammad Aziz , Yudaingtyas Erni
Published: June 2024

Motor Brushless Direct Current (BLDC) has become the preferred choice in various engineering applications. However, BLDC motor control involves high complexity, and motor performance depends on the control algorithms used. This research discusses the use of sensorless control methods, specifically the Sliding Mode Observer (SMO) for rotor position and speed estimation in BLDC motors within the context of Field-Oriented Control (FOC), validated through simulations using Matlab/Simulink. Simulation results indicate that SMO provides rapid dynamic response to current changes, albeit with slight delays at high speeds. Rotor position estimation with SMO is also reasonably accurate in both steady-state and transient conditions, affirming the iveness of SMO in sensorless control for BLDC motors. SMO can be experimentally implemented to enhance sensorless control in BLDC motors by reducing the cost of installing Hall sensors while maintaining comparable performance.
Tomato Leaf Diseases Classification using Convolutional Neural Networks with Transfer Learning Resnet-50
Authors: Muslih Muslih , Krismawan Andi Danang
Published: June 2024

This research delves into the critical domain of Tomato Leaf Disease classification using advanced machine learning techniques. Specifically, a comparative evaluation was conducted between a Base CNN model devoid of ResNet-50 integration and a Proposed Method harnessing the capabilities of ResNet-50. The results elucidated a notable enhancement in performance metrics when leveraging ResNet-50, with the Proposed Method consistently achieving exceptional accuracy scores of 99.96%, 99.98%, and 99.96% across data splits of 90:10, 80:20, and 70:30, respectively. Furthermore, the ResNet-50 integration significantly augmented key metrics, including recall, precision, and F1-Score, thereby accentuating its pivotal role in enhancing sensitivity and positive predictive value for tomato leaf disease classification. As for prospective research trajectories, this study highlights potential avenues for refinement, encompassing the exploration of ensemble techniques amalgamating diverse architectural frameworks, advanced data augmentation methodologies, and broader disease classification scopes. Collectively, this research underscores the transformative potential of ResNet-50 in agricultural diagnostics, advocating for continued exploration and innovation to fortify global food security and sustainable farming practices. Future research could explore ensemble techniques, advanced data augmentation, broader disease classification scopes, and interdisciplinary collaborations to develop comprehensive diagnostic tools for sustainable farming practices and global food security.
Content-based Filtering Movie Recommender System Using Semantic Approach with Recurrent Neural Network Classification and SGD
Authors: Salsabil Adinda Arwa , Setiawan Erwin Budi , Kurniawan Isman
Published: June 2024

The application of recommendation systems has been applied in various types of platforms, especially applications for watching movies such as Netflix and Disney+. The recommendation system is purposed to make it easier for users, especially in choosing a movie because currently the number of movie productions is increasing every day. This research proposed a CBF movie recommendation system by comparing the performance of several semantic methods to be able to get the best rating prediction results. In order to improve the performance quality to get the best rating prediction results, this research  utilized semantic feature methods by comparing the performance of the evaluation results produced by the TF-IDF method and word embedding applications, such as BERT, GPT-2, RoBERTa, and implemented RNN model to classify the results of rating prediction. The data were used to generate the recommendation system by involving 854 data movie and 39 accounts with a total of 34,056 movie reviews on Twitter. This research has succeeded in getting a method that produced rating predictions, namely RoBERTa. In the classification process with the RNN model and SGD optimization, the measurement results with confusion matrix by classifying the RoBERTA rating prediction obtained an evaluation value of 0.6514 loss, 95.59% accuracy, and 0.6514 precision.
Movie Recommender System on Twitter Using Weighted Hybrid Filtering and GRU
Authors: Valentino Nico , Setiawan Erwin Budi
Published: June 2024

The development of the industry in the film sector has experienced rapid growth, marked by the emergence of film streaming platforms such as Netflix and Disney+. With the abundance of available films, users face difficulty in choosing films that suit their preferences. Recommender systems can be a solution to this problem for users. Recommender systems rely on user reviews, making Twitter a platform that can be used to collect user reviews of a film. This study will develop a recommender system that has the potential to provide item recommendations to users using the weighted hybrid filtering and GRU methods. The weighted hybrid filtering used is a combination of collaborative filtering and content-based filtering methods. The dataset used in this study was obtained by crawling tweets relevant to the feedback of specific accounts regarding a film. The dataset resulting from the data crawling consists of a total of 854 films, 45 users and 34,086 tweets consisting of film reviews from Twitter users. The GRU model classification is performed on the results of weighted hybrid filtering with model optimization involving testing various test size scenarios and optimizer methods. The test sizes used are 40%, 30%, and 20%. The optimizer methods used include Adam, Nadam, Adamax, Adadelta, Adagrad, and SGD. The research results show that the optimal outcome is obtained using the Nadam optimization method. The performance evaluation yielded 85.74% precision, 88.63% recall, 88.63% accuracy, and 86.30% F1-score.
Materialism and Religious Perspective: An Analysis of Karl Marx's Thought
Authors: Juwaini Juwaini , Yasin Taslim HM , Safira Cut Siska
Published: June 2024

Karl Marx was a philosopher and social observer, whose intelligence and brilliant thinking earned him a position as a political leader among the proletarian class of his time. For Marx, the essence of humanity lies in labor, and religion is a product and expression of the interests of the oppressed lower classes. Living in Europe during the industrial age, Marx's thoughts differed significantly from those of other philosophers of his time. This text examines Marx's thoughts on Materialism, religious beliefs, and Marxist Economics. Research findings indicate that Historical Materialism proposed by Marx is a useful term for providing the basic assumptions of his theory. The emphasis in his work "Das Kapital" is on the material needs and the struggle to enhance socialist revolution so that the proletariat can enjoy the majority of what is produced by industrialism. Marx believed that the ownership of the means of production in society should be evenly distributed according to human needs, not to the greed of a few. Religion, Marx argued, is an opiate for the masses, manipulating them with promises of eternal futures, thus alienating them from reality. In the capitalist economic system, Marx contended that fair wages for labor should be determined equally, just as the value of each commodity is determined by the amount of labor, meaning that employers should pay workers according to their labor
Modern Challenges in Islamic Practice: The Role of Morality and Ethics
Authors: Nur Faisal Muhammad
Published: June 2024

This study examines the need and processes for reform in Islamic thought amid contemporary challenges. Despite the eternal nature of Sharia, acknowledged by Allah, the conditions of modernity necessitate continuous ijtihad—dynamic interpretation—to preserve the relevance of Islamic teachings. This research employs a textual historical approach, focusing on the discourse of prominent scholars to understand the evolving nature of morality and ethics within Islamic traditions. The study underscores the critical role of ijtihad in addressing the ethical dilemmas posed by modern social changes, technological advancements, and the influence of authoritative religious interpretations. Therefore, an adaptive ethical framework that integrates both individual and collective moral values is essential to ensure that Islamic thought remains relevant and responsive to the complexities of a global society. This study advocates for a balanced approach to religious practices that align with contemporary moral and ethical standards, thereby supporting the sustainability and purity of Islamic teachings in a modern context.
Regulação da mídia e literacias digitais no combate a fake news: plataformização, inteligência artificial e algoritmos
Authors: Rossetti Regina , Ferrarezi Renata
Published: June 2024

This article proposes a discussion about disinformation, involving gear and methods that contribute to the spread of fake news in the online environment and other phenomena that arise in the wake of the Big Tech business model. It is considered that, with the advancement of Artificial Intelligence, such formats begin to exercise increasing dominance over experiences, narratives and human knowledge, control that can be considered a threat to freedom of expression and the right to information. Faced with this challenge, from a regulatory point of view, the review of standards that place more limits on digital and educational platforms is being evaluated, highlighting the need to expand digital, media and information literacy. The methodology involves bibliographic and documentary review.
Crianças em contexto de migração familiar: uma análise a partir do filme Bem-vindo a Marly-Gomont
Authors: Giroto Giovani , Angeli Teixeira de Paula Ercília Maria
Published: June 2024

The film Welcome to Marly-Gomont, by director Julien Rambaldi, addresses themes such as racism, school adaptation, and situations found in the migration context. This study's general objective was to examine children's invisibilization in family migration processes. The specific objectives were to analyze classical migration theories in contrast to the theories of the sociology of childhood; discuss the representation of migrant children and analyze the inter and intra-generational relations found in the film. The data were analyzed from two categories that express the treatment dedicated to children in the migration situation: intergenerational and intragenerational relations. The results express the silencing imposed on children in migration issues.
Os significados da cor preta postos em circulação pela publicidade no jornal Folha de S.Paulo (2020)
Authors: Malagó Graziella Andreia , Ogécia Drigo Maria
Published: June 2024

This article presents results of research into the process of constructing meanings for the color black. In order to explain the meanings of the color black triggered by advertising in the Folha de S.Paulo newspaper, reflections on the process of social construction of the color black are presented; aspects of the collection and selection of data from the Folha de S.Paulo newspaper, of 2020, are described; then advertising pieces from this sample are analyzed through the application of peircean semiotic strategies. The article is relevant because it provides support for producers, in general, involved with visual language.
Random City: o “infraordinário” que desponta nas paisagens urbanas de Letícia Lampert
Authors: Gonçalves dos Reis Filho Osmar , Rabelo Beatriz
Published: June 2024

This paper focuses on the work Random City (2017), by Brazilian photographer and visual artist Letícia Lampert, created from photographs from different parts of the world. By cutting and assembling images of cities such as Paris, Fortaleza, São Paulo, New York and Sanghai, unprecedented urban landscapes are created. In the creative process, the photographer selects everyday clippings, which often go unnoticed, and puts them together to form a city that contains parts of several others. We seek to highlight the presence of the “infraordinary” (PEREC, 1989) that emerges in this work, based on a walk among Lampert’s images, also bringing references from other artists, such as the photographer Claudia Jaguaribe. We then perceive a parallel between the perspective of the "infraordinary" of Perec (1989), the "punctum" of Barthes (2018) and the "sublime" of Lopes (2007). As a methodological path, we built boards inspired by Aby Warburg's Atlas Mnemosyne, which allowed glimpses of other perceptions to emerge from the union of images.
Mulheres trabalhadoras negras e mídia: questões de reconhecimento sob a ótica de Nancy Fraser
Authors: Schmalfuss Borges Gabriela , Mayora Ronsini Veneza
Published: June 2024

The text presents theoretical elements for a possible articulation between class, race, gender and media in empirical studies of media reception and consumption: Nancy Fraser's critical theory and her discussion of capitalism as an institutionalized social order. We exemplify the proposal with the empirical study of the experience of quilombolas women from communities located in Rio Grande do Sul in order to understand the relationships between their engagement in the Black movement, class, race and gender contradictions and the uses of the media.
Ocupar as narrativas com palavras de ordem: textualidades das notas de deflagração das ocupações universitárias de 2016 no Ceará
Authors: Macêdo Daniel , Vidal Nunes Márcia
Published: June 2024

With the wave of university occupations that took place in 2016, when they were launched in institutions in Ceará, public notes were released by student-occupiers. In these texts, taken as narratives about themselves oriented towards public communication, perspectives are articulated on the agendas defended and the actions carried out. Considering the textualities that underpin each fuse note of occupations in 26 academic units of 5 institutions in Ceará, we carried out a theoreticalmethodological exercise with textual networks in order to highlight the narrative propositions; and, with them, discuss both the uses of this textual form for public relations, and the shifts built from the context and political incidence to take a position on the event.
Em Cuba, as mídias independentes têm ajudado a empoderar os cidadãos
Authors: Padilla Herrera Alexei , Salgueiro Marques Ângela Cristina
Published: June 2024

In this interview, journalist Ismario Rodríguez Pérez talks about the consolidation of independent Cuban media in the virtual environment. From his experience as audiovisual director of the independent media Periodismo de Barrio, Rodríguez Pérez refers to the conflict generated by the existence of media vehicles that operate outside the policies and legal norms that guide the operation of the media system in a oneparty regime. The communicator also highlights the contributions of independent media to the exercise of the right to communicate, the practice of communicative citizenship and the democratization of communication in Cuba during the last decade (2014-2023).
Pesquisa-Ação Participativa em Estudos Críticos de Dados: Interrogando a IA a partir de uma Abordagem Sul-Norte
Authors: Medrado Andrea , Verdegem Pieter
Published: June 2024

thinkers such as Freire and Fals Borda, we propose a South-North flow aiming to challenge the way in which the centrality of the North is taken for granted in relation to epistemologies, experiences and understandings. of AI. Based on workshops held with a diverse group of students, technology professionals and activists, we argue that PAP can not only empower marginalized communities in the Global South, it is important that we learn more about its relevance and uses in contexts of the Global North. Our analysis delves into three specific concepts around AI and data (in)justice: autonomy, empathy and dialogue, which provoked, among other reflections, remembering that human nature is sentient (Borda, 2003).
Inteligência Artificial, Soluções Artificiais - Colocando a emergência climática no centro dos desenvolvimentos de IA
Authors: Brevini Benedetta
Published: June 2024

Despite growing attention to the environmental costs of information communication technology systems, Artificial Intelligence gets principally heralded as the key technology to solve contemporary challenges, including the environmental crisis, which is one of the goals of sustainable development. But how green is Artificial Intelligence? This text considers the materiality of AI and attempts to go beyond mainstream hypes as it explores the multifaceted ways in which AI is impacting the climate emergency, thus impacting sustainable environmental development. It concludes by offering a set of solutions to limit the direct challenges that AI poses to SDGs (Sustainable Development Goals).
A base da pirâmide de dados: Big Data e o Sul Global
Authors: Arora Payal
Published: June 2024

To date, little attention has been given to the impact of big data in the Global South, about 60% of whose residents are below the poverty line. Big data manifests in novel and unprecedented ways in these neglected contexts. For instance, India has created biometric national identities for her 1.2 billion people, linking them to welfare schemes, and social entrepreneurial initiatives like the Ushahidi project that leveraged crowdsourcing to provide real-time crisis maps for humanitarian relief. While these projects are indeed inspirational, this article argues that in the context of the Global South there is a bias in the framing of big data as an instrument of empowerment. This article proposes to assess these new technological developments through the lens of databased democracies, databased identities, and databased geographies to make evident normative assumptions and perspectives in this under-examined context.
Diálogos interdisciplinares vindos do Sul Global: a IA na berlinda
Authors: tavares Denise , Pucarelli Michele
Published: June 2024

The proposal for this edition is marked by the Special Dossier on Artificial Intelligence. Special, in many ways, but mainly due to the editors' decision that it was necessary for Revista Mídia e Cotidiano to contribute, in the most powerful way possible, to what is, without a doubt, a key theme for the future not only of Communication, but also of the very organization and functioning of society. Such breadth creates broad challenges and gives an air of infinity to the multiple technologies that involve Artificial Intelligence. On the other hand, it also activates a critical universe – one of the central characteristics of the area of ​​Communication and Information – that moves continuously over time. That is, they promote relevant conceptual reviews of newly prepared diagnoses, at the same time that they make us look back, reviewing warnings, warnings of possibilities and understanding the origins and impacts that the new – at that time – technology brought or seemed to offer.
IMPACTO DO TRABALHO REMOTO NA QUALIDADE DE VIDA DOS TRABALHADORES BRASILEIROS
Authors: Chesini Mariani Dara , Munz Fernandes Alice , Vicente dos Anjos Fernando Elemar , Dullius Rodrigo
Published: June 2024

A pandemia ocasionada pelo Covid-19 impulsionou transformações nas dinâmicas laborais já iniciadas pelo advento das Tecnologias de Informação e Comunicação (TICs). Nesse sentido, o trabalho remoto figura como um fenômeno emergente e que vem causando novas preocupações relacionadas à Qualidade de Vida no Trabalho. Ante a esse panorama, a pesquisa realizada teve como objetivo identificar os impactos do trabalho remoto na Qualidade de Vida dos trabalhadores brasileiros. Para tanto, empregou-se uma pesquisa quantitativa e descritiva operacionalizada por meio de uma survey com corte transversal. A amostra analisada foi composta por 107 indivíduos que trabalham remotamente. Para a análise dos dados, empregou-se estatística descritiva e o teste de Qui-quadrado de Pearson. Os resultados obtidos demonstraram que a maioria dos respondentes trabalha remotamente desde um a três anos atrás e frequentam semanalmente a empresa de maneira presencial. Também constatou-se que a quantidade de pessoas que residem com o trabalhador remoto não possui associação com a qualidade do tempo destinado à família. E, de igual forma, não está relacionada com a percepção de que o convívio familiar impacta na qualidade do trabalho desempenhado. Os resultados indicaram ainda que os respondentes percebem que o seu tempo de lazer é melhor aproveitado por causa do trabalho remoto. De maneira geral, o estudo coopera para o melhor entendimento da percepção dos trabalhadores remotos acerca da qualidade de vida laboral, agregando à literatura pertinente ao gerenciamento de pessoas nos ambientes contemporâneos de trabalho.
Novel risk factors associated with retained placenta after vaginal birth
Authors: Nasser Basel , Jadaon Jimmy , Awad-Khamaisy Nibal , lfoul Luna abo , Hendler Israel
Published: June 2024

Objective: Retained placenta is a serious complication of
vaginal birth. The ability to predict retained placenta may have
positive effect on timely management. We aimed to evaluate the maternal
and obstetric risk factors associated with retained placenta after
singleton live vaginal birth Methods: A retrospective cohort of
women who had retained placenta after singleton live vaginal birth ≥ 24
weeks, compared in 1:2 ratio with women who had normal vaginal delivery
without complications. Study and control group were matched for maternal
age, gestational age and parity. Multivariate regression analysis was
performed to evaluate the potential risk factors for retained placenta
including maternal and obstetrical characteristics Results:
Fifteen thousand two hundred sixty women underwent vaginal delivery at
our medical center between 2015-2022. One hundred seventy women (1.1%)
were diagnosed with retained placenta. Ninety-nine women (0.65%) who
met the inclusion criteria, were matched with 198 women (1.3%) as
controls. Multivariate logistic regression revealed various potential
risk factors not previously described as associated with retained
placenta including: IVF pregnancy (OR 3.8, 95% CI [1.3- 11.7], P
0.018), preeclampsia (OR 4.5, 95% CI[1.1- 17.5 ],P 0.0315), women
with large for gestational age fetus (OR 28.2, 95% CI [5.4- 148.5],
P 0.0298),labor Induction (OR 21.8, 95%CI [5.5- 86.8],P
<0.001), vacuum assisted vaginal delivery (OR 2.3 .95% CI
[1.2- 4.5], P 0.011), and Duration of second stage > 3
hours (OR 3.9,95%CI [1- 15.1], P <0.001)
Conclusion: Our study highlights unreported risk factors
associated with retained placenta such as macrosomia , in vitro
fertilization and endometriosis. This emphasis on early risk
identification and the exploration of possible preventive measures holds
promise for enhancing antenatal care practices, ultimately improving
outcomes for both mothers and infants .
Strain-controlled low cycle fatigue behavior of a superalloy applied in combustion liner considering the effect of temperature and stress concentration
Authors: Luo Lingying , Wang Wenjun , Yang Qinzheng , Mi Dong , Wang Xu , HU Xiaoan
Published: June 2024

This study aims to investigate the low cycle fatigue (LCF) behavior and
fatigue life prediction method of an advanced solid solution
strengthened nickel-based superalloy at various temperatures and stress
concentrations. Cylindrical specimens as well as plates with three types
of holes (including straight holes and inclined holes with different
orientations) were designed and machined for fatigue tests. The test
results revealed fatigue life decreases with the temperature increasing.
Meanwhile, the fatigue lives of the plate specimens have decreased
differently and are strongly dependent on the geometry and orientation
of the holes. The key damage parameter related to the fatigue life was
found on the strain gradient path. A criterion based on strain gradient
is defined as the boundary of the damage process zone. The results show
that the prediction was in good agreement with the experimental data,
for the majority of the data is within a scatter band of ±2.