bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tratamento diferenciado de temas de ciência, tecnologia e sociedade no currículo de ciências do ensino médio das Filipinas
Authors: Bansiong Apler , Ocampo Rosemarie F , Caluza Eartha Mae V. , Rillera Marife B. 
Published: November 2024

Curriculum planners contend that the Science-Technology-Society (STS) Approach in Science instruction is one pedagogical practice leading to students' scientific literacy development - the overarching goal of science education. This study assessed the treatment of STS themes in the Junior High School (JHS) science curriculum, as reflected in textbooks and practiced by science teachers. Twelve textbooks (from two commercial publishers and the State Textbook Bureau) were analyzed for their treatment of 12 STS themes. STS-related key concepts, terms, and illustrations were the units of analysis. Meanwhile, the teachers' treatment was assessed through self - and student assessment. Results showed that, as a whole, the STS themes emphasized in the textbooks and by the science teachers were consistent. The two STS themes most emphasized are "Human Health and Diseases" and "Air Quality and the Atmosphere." Conversely, "Nuclear Reactors" and "War Technology" are the topics least covered. There was a differential treatment of the STS themes in the three textbooks regarding the STS-related key concepts, keywords, and illustrations. The same differential treatment was observed across the four grade levels. The curriculum implementers (i.e., the science teachers) recommended proper treatments of the STS themes. Finally, a model was developed depicting the differential treatment of the STS themes in the junior high school curriculum.
(Des)Aprender: relatos desde la enseñanza aprendizaje de la arquitectura para desestabilizar el Canon
Authors: Barrientos Díaz Macarena Paz 
Published: November 2024

La siguiente comunicación busca, desde el contexto chileno, presentar un breve estado del arte de aproximaciones, herramientas, saberes y prácticas que avanzan en un desaprendizaje del Canon formativo disciplinar. El story telling de Donna Haraway se convierte en un recurso clave (a modo de metodología) que sirve para develar relatos presentes en las escuelas de arquitectura, que han sido invisibilizados o bien constatados como particularidades aisladas. Así, pensar con permitirá visibilizar y mapear aquellas desestabilizaciones del Canon incipientes como potenciales de emancipación situadas.En 2019, antes del estallido social y del inicio de la pandemia, desde la Facultad de Arquitectura y Urbanismo de la Universidad de Chile se iniciaba una huelga que evidenciaba cómo las prácticas disciplinares eran resentidas por las nuevas generaciones de estudiantes. El 2020, en medio de la forzada implementación de una educación remota, la enseñanza aprendizaje cobró relevancia y centralidad en la discusión disciplinar, y se ensayaron otras aproximaciones y herramientas docentes. No obstante, la prevalencia del Canon subyace.¿Cómo lo desaprendemos?
Security-Diplomacy Nexus: Nature of Bilateral Cooperation in Kenya - India Military Diplomatic Relations Since 1963
Authors: Shume William Kitsao Karisa , Okoth Pontian Godfrey , Odhiambo Elijah Onyango Standslause 
Published: November 2024

Bilateral and multilateral agreements have been one of the mechanisms through which growth and development have taken place. The newly created independent states of the Cold War period presented a major paradigm shift in international cooperation to include military diplomacy. Kenya and India being among these newly created states have had their cooperation where by the two countries have used their good diplomatic relations to bolster one another's military capabilities. The current study sought to put into perspective the conduct of bilateral relations between Kenya and India. The objective of this study was to examine the nature of bilateral cooperation in enhancing Kenya-India military-diplomatic relations since 1963. The study was anchored on power theory. The study adopted a descriptive research design. The study was carried out in Nairobi County, Kenya with a specific focus on the Ministry of Foreign Affairs, Defence Ministry, and Indian High Commission. The target population was 2500. The sample size for the study was determined using Yamane's (1967) formula to calculate the sample size, which was 250 Qualitative data obtained from interviews were analysed using narrative reports using thematic techniques. Quantitative data from the questionnaires was edited, coded, and entered into a computer spreadsheet in a standard format to allow descriptive statistics analysis. Statistical Packages for Social Sciences (SPSS) edition 24 and Microsoft Office Excel 2013 were used for the quantitative data. The findings of the study revealed that the nature of Kenya-India military diplomatic relations manifested in various forms including through High-profile visits by Kenyan and Indian officials to both states as a way of strengthening bilateral relations. Technological transfer was another way through which these two nations shaped their diplomatic relationship, particularly in information and communication technology (ICT). Additionally, Defense trade and trade agreements, Security Partnerships, Counterterrorism activities, Maritime Safety, and Peacekeeping missions were common areas of cooperation between Kenya and India. The study concludes that bilateral cooperation between Kenya and India has been instrumental in enhancing their military-diplomatic relations since 1963. The study recommends that, to better understand the nature of bilateral cooperation, Kenya and India should establish a permanent joint military commission to oversee and coordinate defense initiatives.
Design, Simulation and Mathematical Modelling of Slotted Microstrip Patch Reconfigurable Antenna Array for Future Wireless Communication
Authors: Vinaya Deshmukh  
Published: November 2024

A multi-slotted Microstrip frequency reconfigurable antenna is designed-simulated and analyzed in this paper for MIMO applications. The antenna demonstrates the impact of parasitic patches, Slots, and PIN diode on the radiating surface. Designed to operate at five frequencies 3.7 GHz/ 5 GHz/ 6 GHz /9.8 GHz with S11 < -10 dB and VSWR < 2. The communicating bands and the bandwidth achieved by the reconfigurable antenna are 3.72 - 3.8 GHz / 2.1% bandwidth, 4.89 – 5 GHz / 2.2% bandwidth, 5.85 – 6.28 GHz / 7.2% bandwidth, and 9.63 – 9.97 GHz / 3.4% bandwidth. The antenna holds potential applications in areas such as Cognitive radio, C and X band (Microwave communications), MIMO, WiMAX, Satellite Communication, etc.
Enhanced Deep Learning Methodology for Detection and Identification of Brain Tumor using CNN
Authors: K. Vijetha  
Published: November 2024

Introduction: Brain tumours are a significant global public health issue that require precise and effective diagnosis techniques for well-thought-out treatment strategies. Three separate works for the automatic identification and categorization of brain tumours in magnetic resonance imaging (MR) datasets are presented in this dissertation.
Objectives: The primary objective of this work was to explore uses of the version of the discrete orthonormal S-transform (DOST) to extract texture characteristics and fuzzy C-means (FCM) for image segmentation. By using Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA) we can minimize the dimensional of the recovered features. The proposed Adaboost method is run with the reduced features, and a Random Forest (ADBRF) classifier is then employed. The proposed Adaboost method is run with the reduced features, and a Random Forest (ADBRF) classifier is then employed.
Methods: A range of machine learning algorithms Reduced Complexity Spatial Fusion CNN is applied for the brain to classify and identify the brain tumor.
Results: The results revealed significant performance enhancements, particularly for boosting algorithms. Mean, Variance, standard deviation, entropy, energy has been calculated and by using proposed design it has high accuracy rate.
Conclusions: This study highlights the potential of advanced machine learning techniques for classifying and identification of brain tumor. Accurate analysis is often hampered by the complexity and diversity of image data. To tackle this, we created the RCSF-CNN, a proposed method that combines the extraction of complexity features with CNN for brain cancer detection and classification. Notably, our methodology enhances the resilience and accuracy of detection and classification procedures by utilizing the DOST as an intermediary stage. 21% of the dataset was set aside for rigorous testing, while the remaining 79% was used for training
Power Quality Improvement for Hybrid Microgrid Integrated with Renewable Energy Sources
Authors: Anu G Pillai  
Published: November 2024

Given the present energy crisis and depletion of fossil fuel reserves, there is a pressing need to enhance the integration of Renewable Energy Sources (RES) into the power system. This research focuses on designing and managing a Hybrid Microgrid (HMG) in fluctuating RES. The Direct Current (DC) sub-grid comprises a Wind Turbine (WT), a solar Photovoltaic (PV) array equipped with a Perturb-and-Observation (P&O) Maximum Power Point Tracking (MPPT) method, a boost conversion, and a Battery Energy Storage System (B-ESS) connected to DC demands. The Alternative Current (AC) sub-grid comprises a Permanent Magnet Synchronous Generator (PMSG) WT and a Fuel Cell (FC) integrated with an inverter circuit synced with the grid to fulfill its load requirements. A reversible Interlinking Conversion (IC) connects the AC and DC sub-grid, enabling efficient power interchange across the two grids. The IC's control technique allows it to function as an active energy filter and exchange operator. The IC's active energy filtering function ensures that the power supply of the microgrid complies with the criteria set by IEEE 519. It does this by offering reactive power assistance and decreasing the harmonic levels to below 5%. The suggested method enables the HMG to function in grid-connected and islanded states. During grid-connected operation, power is transferred across the DC and AC sub-grids, ensuring that all load requirements are fulfilled. In the islanded method, a diesel generator provides power to the AC sub-grid to fulfill the needs of essential loads, while the B-ESS sustains the DC microgrid. The suggested model is constructed and simulated with MATLAB, and its outcomes are examined.
Recurring Network Node Performance Evaluation Model for Enhancing the QOS Levels in 6G Enabled WSN
Authors: Pavan Vamsi Mohan Movva  
Published: November 2024

Among the many promising qualities of the Sixth Generation (6G) are its ultra-dense connection, integrated sensing and communication, secure communication, very high data rate, energy and spectrum efficiency, and ultra-reliable low latency communication. Novel approaches to environmental protection and resource monitoring have evolved with new forms of communication networks made possible by technological advancements. When it comes to environmental research and science, 6G enabled Wireless Sensor Networks (WSNs) plays a key role. There are several fields that can benefit from WSNs, including robotics, environmental monitoring, medicine, and the military. The Quality-of-Service (QoS) is a critical concern in wireless sensor applications because to the increasing demand for their use in various domains. Because the resources accessible from sensors and the many applications operating over these networks have varied limits in nature and requirements, ensuring QoS in WSNs is complex and increasingly demanding. Delays, throughput, jitter, and other network-level indicators used to be the main focus of QoS efforts. In this research, a model for providing suitable QoS measures for WSN is proposed, including service, reliability, and availability, all of which contribute to the preservation of high-quality service. Availability, Dependability, and Serviceability are the parameters considered for providing QoS. 6G wireless networks are largely focused on enhanced intelligence, synchronization of resources and topology from beginning to end, and the inherent support for high-bandwidth, low-latency communication. With these features, cyber physical user experiences that are rich in context are feasible. As a result, defining and identifying the function of quality of experience in 6G networks is crucial, particularly for network administration. To optimize application service satisfaction, a WSN should learn to govern the network's overall performance based on QoS characteristics, which guarantee the transfer of information. This research proposes a Recurring Network Node Performance Evaluation Model (RNN-PEM) for enhancing the QoS levels in 6G enabled WSN. The proposed model when compared with the traditional models, provided enhanced QoS levels.
Automatic Detection of Flood Extent and Volume Estimation from Sentinel-2 Satellite Images using Deep Learning Techniques in India
Authors: Ninad More  
Published: November 2024

Floods are unexpected natural disasters that can have a major impact on human life, soil along bank erosion, damage vital infrastructure, road closures, economy standard, and society of various affected regions. An initial step of proper assessment is necessary for flood damage along with accurate measurements to easily restore essential damage of infrastructure, relief, and mitigation as quickly as possible. Nowadays, the rapid development of remote sensing images using deep learning as a most positive tool for accurately estimating the extent of overall flood detection surfaces. The monitoring of flood detections from remote sensing images still extends a few issues due to mostly varying from different weather changes conditions, cloud coverage areas that can have a limit to use of level of visible remote sensing satellite collected data. Moreover, Remote Sensing Satellite based observations may not always be mapped to the distribution's flood point peak, also it is very essential for both the flood extent and flood volume estimation. To overcome this challenge, we have presented a new remote sensing technology that integrates with a high resolution multi-spectral satellite data/information by using an advanced Deep Learning to accurately analyze remote sensing based observations. In our experiment, we use the European Space Agency (ESA) launched Sentinel type-1, Sentinel type-2 data and Digital Elevation Model (DEM) to accurately measure flood monitoring results. In our study, we reviewed a real example of the flood situation that happened in 2019 in Kolhapur. In our results, we evaluated a flood volume estimation at 0.0010 km3 in Kolhapur district. Finally, the proposed methodology provides an effective way to accurately motoring floods using low-cost satellite data and deep learning approaches. This project has the potential to improve the more accurate flood detection and mapping which can prevent an exactly timely response and immediate recovery efforts for flood surrounding affected areas.
Metagenomic next-generation sequencing may assist diagnosis of osteomyelitis caused by Mycobacterium houstonense: A case report
Authors: Lin Hong-Yin , Tan Quan-Hui 
Published: November 2024

BACKGROUND
Mycobacterium houstonense (M. houstonense) belongs to the nontuberculous mycobacterium group. Infection caused by M. houstonense is prone to recurrence.
CASE SUMMARY
We present a patient who was diagnosed with osteomyelitis caused by M. houstonense and treated with a combination of cefoxitin, and amikacin combined with linezolid.
CONCLUSION
The emergence of metagenomic next-generation sequencing (NGS) has brought new hope for the diagnosis and treatment of listeria meningitis. NGS can analyze a large number of nucleic acid sequences in a short time and quickly determine the pathogen species in the sample. Compared with traditional cerebrospinal fluid culture, NGS can greatly shorten the diagnosis time and provide strong support for the timely treatment of patients. Regarding treatment, NGS can also play an important role. Rapid and accurate diagnosis can enable patients to start targeted treatment as soon as possible and improve the treatment effect. At the same time, by monitoring the changes in pathogen resistance, the treatment plan can be adjusted in time to avoid treatment failure.
Arthroscopic synovectomy for synovial hyperplasia in chronic knee gouty arthritis: A case report
Authors: Utoyo Ghuna A , Calvin Calvin 
Published: November 2024

BACKGROUND
Chronic synovitis due to chronic knee gouty arthritis (KGA) resulting in synovial hyperplasia has not been documented in the current literature, and thus the optimal management for this condition remains unclear. This case report discusses a 34-year-old man with a history of chronic KGA who presented with recurrent knee effusion resulting from synovial hyperplasia.
CASE SUMMARY
A 34-year-old man presented to our outpatient clinic with a 5-year recurrent knee effusion and a history of chronic KGA. Symptoms persisted despite serial aspiration and urate-lowering medication (febuxostat 80 mg once daily) for 2 months. Diagnostic arthroscopy was performed due to the recalcitrant symptoms. Intraoperatively, tophi deposition and excessive thickening of the synovial membrane were observed. Synovial biopsy and partial synovectomy were performed, revealing chronic synovitis with synovial hyperplasia that was consistent with chronic KGA. At follow-up after 6 months, the patient reported no further episode of knee effusion.
CONCLUSION
Arthroscopic synovectomy for synovial hyperplasia in chronic KGA sufficiently eradicates the symptoms of recurrent knee effusion.
ПОВЫШЕНИЕ ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ ПОЛЬЗОВАТЕЛЕЙ СОЦИАЛЬНОЙ СЕТИ ПОСРЕДСТВОМ ЦИФРОВИЗАЦИИ ОПРЕДЕЛЕНИЯ ТЕМЫ ДИАЛОГА
Authors: Н.П. ОРЛЯНСКАЯ , Л.Е. Попок , В.А. ТЕШЕВ 
Published: November 2024

В статье предложен вариант повышения экономической безопасности путем автоматизации процесса обработки текстов на естественном языке в социальной сети. Обоснована необходимость применения тематического моделирования, и с использованием метода «Латентное распределение Дирихле». Использовались технологии проектирования, клиент-серверная архитектура веб-программирования. Разработанный вариант текстовой аналитики предназначен для коллекции текста достаточно больших объёмов. Апробация модели и ее компьютерной реализации выполнена на информации диалогов социальной сети Telegram. Компьютерная реализация модели позволяет значительно ускорить обработку больших объемов информации необходимой при выполнении различных задач, связанных с анализом аудитории и мониторингом диалога социальных сетей.
The paper suggests an option for increasing economic security by automating the process of processing texts in natural language in a social network. The need for topic modeling and the Latent Dirichlet Allocation method is substantiated. Design technologies and client-server architecture of web programming were used. The developed version of text analytics is intended for collecting text of sufficiently large volumes. Approbation of the model and its computer implementation was carried out using information from dialogues of the Telegram social network. Computer implementation of the model allows to significantly speed up the processing of large volumes of information necessary for performing various tasks related to audience analysis and monitoring of social network dialogue.
On Language Control in Bilingual Speakers
Authors: Green David W. 
Published: November 2024

Abstract
I consider 2 interlinked connections between Judy Kroll's research and my own work. Both concern the nature of language control in speakers of more than 1 language. My first connection is with her pioneering revised hierarchical model (Kroll & Stewart, 1994). This model raised questions about the organization of the bilingual lexicon, the pathways to word production, and the nature of changes with language proficiency in a second language. For me, the model raised questions about the nature of the language control processes involved. My second connection is to Judy Kroll's advocacy of the importance of identifying and researching the consequences of variety in the language experience of bilinguals. My work aims to unpack the language control processes that support such variety. Importantly, as Judy Kroll has recently advocated, it is vital to place the lived experience of bilinguals center-stage in our research inquiries. This shift requires an increase in multidisciplinary collaboration and epitomizes her continued research leadership.
Understanding the Mechanisms That Allow the Bilingual Mind and Brain to Work in Two Languages
Authors: Rossi Eleonora , Gullifer Jason w. 
Published: November 2024

Abstract
In this contribution in honor of Dr. Judith Kroll, we review behavioral models of bilingualism, bringing the most important examples from the literature to highlight how Judy's work has shaped the field. In the second part of the contribution, we describe the challenges and opportunities of neuroimaging methods applied to bilingualism, and we discuss how recent neuroimaging data have revealed effects of learning and speaking that would have been less easily inferred from behavior alone. In the concluding section, we discuss how recent research in the field incorporates network perspectives to account for social language use variability. We conclude with a section honoring Judy's impact as a researcher and mentor.
Jarosław Iwaszkiewicz and Jerzy Błeszyński Repainted
Authors: Iwasiów Inga , Kowalewski Maciej 
Published: November 2024

Abstract
This article explores the connection between literature and street art vandalism, using the example of a mural featuring a quote from a love letter written by Jarosław Iwaszkiewicz, a prominent twentieth-century Polish writer. In addition to highlighting this specific incident, we draw attention to other instances of hate vandalism directed at LGBTQ+ artwork in Poland. Through this, we reveal a broader trend of recent political mobilization against gay rights art. Our analysis underscores the complex nature of art vandalism as a form of communication that is situated within a particular political and social context, shaped by the values and beliefs of those responsible for the vandalism.
Exceptional set estimates for radial projections in R^n
Authors: Bright Paige , Gan Shengwen 
Published: November 2024

We prove two conjectures in this paper. The first conjecture is by Lund, Pham and Thu: Given a Borel set \(A\subset \mathbb{R}^n\) such that \(\dim A\in (k,k+1]\) for some \(k\in\{1,\dots,n-1\}\). For \(0<s<k\), we have

\(\text{dim}(\{y\in \mathbb{R}^n \setminus A\mid \text{dim} (\pi_y(A)) < s\})\leq \max\{k+s -\dim A,0\}.\)

The second conjecture is by Liu: Given a Borel set \(A\subset \mathbb{R}^n\), then
\(\text{dim} (\{x\in \mathbb{R}^n \setminus A \mid \text{dim}(\pi_x(A))<\text{dim} A\}) \leq \lceil \text{dim} A\rceil.\)