bluuebunny/crossref_metadata_2025 huggingface dataset:
Generator vibration control model using fourier transform, Bode diagrams and Nuquist procedure
Authors: Dimitrijevic Dragan , Adamovic Zivoslav
Published: December 2024

During the construction of new or in the course of revitalization of existing power
plants, management systems of great capabilities are installed, as one of the most important
parts of the equipment. Timely detection of faults can ensure the avoidance of significant
damage, by planning maintenance activities of rotating machines, and especially vibration
control using special methods, such as Fourier transforms, Bode diagrams and Nyquist
procedures.
GAMBARAN PELAYANAN FARM ASI KLINIK DAN TINGKAT KEPUASAAN PASIEN DI INSTALASI FARM ASI RUMAH SAKIT ERNALDI BAHAR PROVINSI SUM ATERA SELATAN
Authors: Agung Sriwijaya Reza , Septiana Hardianti
Published: December 2024

Rumah Sakit Ernaldi Bahar adalah  pusat  rujukan  khusus  pasien  jiwa  milik pemerintah Provinsi Sumatera Selatan. Mereka  melayani  masyarakat  Provinsi  Sumatera Selatan, serta Provinsi  Jambi,  Bengkulu,  dan  Lampung.  Ada  5  Apoteker  di  sana,  namun hanya 1 Apoteker yang bertanggung jawab di pelayanan farmasi klinik rawat jalan. Penelitian non-eksperimental ini mengevaluasi kualitas pelayanan  farmasi  rawat  jalan  dan  kepuasan pasien. Menggunakan analisis kuantitatif dengan observasi dokumen, form checklist, dan kuesioner di instalasi farmasi  rumah  sakit  selama  12  hari.  Hasil  penelitian  menunjukkan aspek pengkajian dan pelayanan resep, informasi obat, dan  konseling  di  instalasi  farmasi mencapai 53,85% dalam kategori  cukup.  Kepuasan  pasien  rawat  jalan  mencapai  88,74% dalam kategori puas. Untuk optimalisasi pelayanan farmasi dan kepuasan pasien, diperlukan penambahan tenaga Apoteker sesuai ketentuan PMK No. 72 tahun 2016  tentang  Standar Pelayanan Kefarmasian di Rumah Sakit Ernaldi  Bahar  Provinsi  Sumatera  Selatan.  Juga, fasilitas di ruang tunggu  instalasi farmasi perlu  diperhatikan  seperti AC/kipas angin  dan  TV untuk meningkatkan kenyamanan pasien.
Kata Kunci : Pelayanan Farmasi Klinik, Kepuasan Pasien,apoteker
ANALISA KOMPONEN DENGAN GC-MS DAN UJI AKTIVITAS ANTIBAKTERI MINYAK ATSIRI KULIT JERUK GERGA (Citrus reticulata Blanco..) PAGARALAM DENGAN METODE DESTILASI AIR
Authors: Dewita Lutfiah Andriani  , Agnes Rendowaty
Published: December 2024

Kulit jeruk gerga merupakan limbah industri yang memiliki potensi sebagai minyak atsiri. Minyak kulit jeruk (citrus peel oil) adalah salah satu jenis minyak atsiri yang diproduksi di Indonesia. Jeruk gerga yang tumbuh di Pagaralam merupakan salah satu komoditi pangan yang menjanjikan, salah satu jeruk jenis jeruk mandarin yang kulitnya berbau khas. Penelitian ini bertujuan untuk mengetahui komponen senyawa minyak atsiri kulit jeruk gerga dan aktivitas antibakteri terhadap bakteri Staphylococcus aureus ATCC 6538 dan Escherichia coli ATCC 25922. Minyak atsiri kulit jeruk gerga diperoleh dengan menggunakan metode destilasi air, kulit jeruk dirajang dan ditambahkan air kemudian didestilasi selama 2 jam. Aktivitas antibakteri dengan metode difusi agar, konsentrasi minyak atsiri 50 %. Minyak yang dihasilkan sebanyak 0,102% v/b. Data komponen minyak jeruk dengan Kromatografi Gas-spektroskopi massa, diperoleh 18 puncak dengan 15 senyawa yang terdeteksi. Salah satu senyawa terdeteksi adalah D-Limonene (5,45%). Aktivitas antibakteri minyak atsiri 50 % terhadap bakteri S. aureus dan E. coli memiliki diameter daya hambat masing-masing sebesar 7,96 mm dan 7,79 mm.
Democracia en jaque, resistencias desde lo público
Authors: Giraldez Soraya
Published: December 2024

Democracia en jaque, resistencias desde lo público
Hilos y mechas: perplejidad, crítica y resistencia.
Authors: López María Pia
Published: December 2024

Resumen:Se aborda el presente político y social marcado por un retroceso de políticas igualitarias y una normalización de la crueldad. Se destacan actos de represión y un tratamiento deshumanizante hacia sectores vulnerables, mostrando un cambio en los umbrales de tolerancia. Esta violencia no solo es física sino también simbólica, manifestada en el lenguaje que circula en medios y redes sociales, y que reduce el discurso a expresiones de dominación y jerarquía. El experimento anarco-capitalista que se impulsa en Argentina pretende desmontar estructuras estatales que protegen lo social, favoreciendo una lógica de mercado que prioriza el lucro sobre la vida y las condiciones dignas. En este contexto, se ataca a movimientos como el peronismo, el feminismo y los derechos humanos, tachándolos de “obstáculos” para la “libertad”. Estos movimientos, aunque esenciales para la justicia social, también presentan limitaciones y contradicciones internas, que deben revisarse para fortalecer las resistencias. Finalmente se insta a reconstruir lo común a partir de las “ruinas” del pasado, no como nostalgia, sino como cimientos para nuevas luchas y un compromiso ético, que apueste por un porvenir de justicia, cuidado y resistencia ante la crueldad sistémica.Palabras clave: Crueldad - Violencia simbólica - Refundación de lo común. SummaryThe political and social present is addressed, marked by a decline in egalitarian policies and a normalization of cruelty. Acts of repression and dehumanizing treatment of vulnerable sectors are highlighted, showing a change in the thresholds of tolerance. This violence is not only physical but also symbolic, manifested in the language that circulates in the media and social networks, and that reduces discourse to expressions of domination and hierarchy. The anarcho-capitalist experiment that is being promoted in Argentina aims to dismantle state structures that protect the social, favoring a market logic that prioritizes profit over life and decent conditions. In this context, movements such as Peronism, feminism and human rights are attacked, labeling them as “obstacles” to “freedom.” These movements, although essential for social justice, also present limitations and internal contradictions, which must be reviewed to strengthen resistance. Finally, there is a call to rebuild the common from the “ruins” of the past, not as nostalgia, but as foundations for new struggles and an ethical commitment, which bets on a future of justice, care and resistance to systemic cruelty.Key words: Cruelty - Symbolic violence - Refoundation of the common.
Implementation of a case-based approach workshop for clinical dietitians
Authors: Ulusoy Hülya , Kangalgil Melda , Bayramoğlu Uğur , Kanberoğlu Serpil
Published: December 2024

Objective: Case-based learning is recognized as an effective teaching approach; however, the implementation of case-based approach has not been well researched among graduate dietitians. The present study aims to implement a case-based approach in dietitians.
Methods: The study was carried out with 24 dietitians from 15 different centres. At first, the topic of clinical nutritional disorders was presented to all the participants, and then case-based learning program was implemented. A questionnaire was used to attain the participants’ opinions of the workshop and a nutritional knowledge test was used to assess end-of-workshop performance.
Results: All the participants experienced case-based learning for the first time. The nutritional knowledge level of the dietitians increased statistically significantly in the post-intervention compared to the pre-intervention (p<0.001). In the survey, most dietitians reported positive feedback on the implementation of the case-based approach workshop.
Conclusions: This study shows that case-based approach can be an effective method in dietitian education and provides an alternative format for the implementation.
The Philippine Mallard Duck (Anas platyrhynchos) Business in Eastern, Laguna, Philippines
Authors: Olayta Jayson N , C Cajano Via Marie
Published: December 2024

The study examined the status, challenges, and potentials of the Philippine Mallard Duck (Anas platyrhynchos) Business in Eastern, Laguna, focusing on understanding the current status of the business and identifying constraints and opportunities for sustainable growth. It aimed to assess the factors affecting the Philippine Mallard Duck industry in Eastern, Laguna and provide insights for enhancing its productivity, profitability, and environmental sustainability. Face to face interview using survey questionnaire was used to gather information. The data collected was analyzed through descriptive method using purposive sampling technique since it was concerned with present status, current production, marketing practices and financial information of the business. Study revealed that even the Philippine Mallard Duck industry faced challenges such as disease outbreaks, Philippine Mallard Duck business is a profitable venture for many raisers. Data showed that the Philippine Mallard Duck business in Eastern, Laguna has significant potentials for further development and sustainable growth and economic benefits to rural communities. Furthermore, it is recommended to Philippine Mallard Duck raisers to share their knowledge and experiences through online platforms and stay updated with the market trends and buyers’ preferences.
Value Chain Analysis of Silver Perch (Bidyanus bidyanus) in Banilan Pakil, Laguna, Philippines
Authors: Olayta Jayson N , Quiambao Janica F , Arevalo Donabel C
Published: December 2024

Silver perch (Bidyanus bidyanus) is one of the most valuable freshwater fish in the country, particularly in Laguna de Bay. Due to its readiness to spawn in captivity and successful hatchery production in outdoor tanks, ayungin is considered an emerging species with potential for inland freshwater aquaculture. The study was conducted to investigate the value chain of silver perch in Banilan, Pakil, Laguna. Descriptive research design using purposive sampling technique was used in the study. Fisherfolks and fish processor in Banilan, Pakil, Laguna was the respondents of this study. Key players in the value chain are responsible in the catching, processing, and marketing of silver perch. Both fisherfolks and fish processors encountered different problems throughout the process such as lack of government support, lack in raw materials/input materials, lack of capital, lack of laborer, poor payment in raw materials, inability to meet the product standard, and competitive pricing for silver perch. When it comes to profitability, the result showed that fisherfolks got the highest net profit margin compared to the fish processors. The government support on silver perch production will help the fisher folks in creating production practices of silver perch and develop sustainable sources for processing.
Evaluation of knowledge attitude and practice among primary school teachers regarding eye health
Authors: Khan Jasra , Jehan Azmat
Published: December 2024

Aim: To assess the awareness and knowledge level regarding eye diseases among primary school teachers and to determine attitudes and practices of teachers’ regarding pupils’ ocular health.
Study design: This study was done using descriptive cross sectional study design.
Study duration and settings: This study was conducted during six-month i-e from July 2021 to December 2021. Four primary schools in Peshawar were visited for data collection. The study was conducted on a total of fifty-three (53) primary school teachers (PST) who were teaching up to grade 5.
Methodology: Pretested questionnaire was used to collect the participant’s data. The data collection tool used comprised of four sections. First section gathers participant’s demographic data, second section was for assessment of teacher’s awareness and knowledge level, along with their perceptions of school eye health services and sources of their information. Third section was about attitudes of teacher’s regarding pupil’s eye health while fourth section was about their practices if they found any feature that can cause visual impairment in children.
Results: Result showed that out of 53 total study participants of mean age 35 years, mean percentage awareness was 65.8%, knowledge regarding all aspects was found to be high among all participants except for corneal scarring. 54.7% and 60.4% had positive attitudes towards prevention and treatment of blindness. 60.4% participants marked parent alertness while 39.6% have showed that they will refer the child to an eye specialist.
Conclusion: Primary school teachers should be trained to have adequate awareness and knowledge to assess the defective ocular symptoms among children. More Innovative strategies are required to intensify the eye health as an important component of educational institutions and school health services.
Correlation of different types of refractive errors with cataract
Authors: Bano Sumreen , Ihsan Nudrat , Zulfiqar Anbar
Published: December 2024

Aims and objectives: To determine correlation between cataract and refractive errors.
Study design: Descriptive cross-sectional.
Study duration and settings: This study was conducted in outpatient department (OPD) in the department of ophthalmology at Hayatabad Medical Complex (HMC) Peshawar, from June 2021 to December 2021.This study was conducted on a total of 50 participants, age group 40 and above, comprising both male and female with cataract.
Materials and Methods: Preliminary examination was done under strict Standard Operating Procedures (SOPs), which include visual acuity assessment with Snellen visual acuity chart, refraction and anterior segment examination by direct ophthalmoscope. VA was recorded with and without correction for individuals who already used glasses. After recording VA with and without pinhole, objective refraction/dry retinoscopy was performed.
Results: The results showed prevalence of myopia, hypermetropia and astigmatism as 12%, 28% and 60% respectively. Gender wise distribution of refractive errors including myopia, hypermetropia and astigmatism were 6%, 8% and 32% in male while myopia, hypermetropia and astigmatism in female were 6%, 20% and 32%.
Conclusion: In cataract patients astigmatism was the most prevalent refractive error, followed by hypermetropia. Myopia was the least prevalent finding.
EDUKASI FISIOTERAPI TENTANG PENANGANAN RISIKO TERJADINYA NYERI PUNGGUNG BAWAH PADA KELOMPOK IBU HAMIL DI PANDANWANGI RW 2
Authors: Nasifa Raudhatun , Anita Faradilla Rahim  , Fika Ertitri
Published: December 2024

Kehamilan adalah periode unik dalam kehidupan yang terkait dengan perubahan hormonal dan fisiologis lainnya pada seorang wanita hamil, yang dapat memicu atau mengubah jalannya gangguan neurologis dan kejiwaan. Pemberian peregangan nyeri punggung bawah pada kelompok ibu hamil di Wilayah Puskesmas Pandanwangi. Metode yang dilakukan pada kegiatan ini dengan memberikan penyeluhan kepada kelompok  ibu-ibu hamil dengan judul “Edukasi Fisioterapi Tentang Penanganan Risiko Terjadinya  NyerI Punggung Bawah”. Kegiatan yang dilakukan dengan menentukan masalah pada kelompok ibu-ibu hamil dengan observasi dan penyuluhan menggunakan poster dengan menggunakan metode pre-test dan post-test berupa wawancara secara langsung. Terdapat pengetahuan dan wawasan tentang latihan-latihan yang diberikan untuk mengurangi nyeri punggung bawah pada kelompok ibu hamil. Simpulan : Kegiatan penyuluhan di kelompok ibu-ibu hamil dapat meningkatkan pengetahuan dan wawasan para ibu mengenai "Edukasi Fisioterapi Tentang Penanganan Risiko Terjadinya NyerI Punggung Bawah" dan dapat meningkatkan kekuatan otot serta dapat mengurangi nyeri punggung sehingga dapat berkurang dengan adanya latihan yang diberikan pada saat penyuluhan
Preparation, Structural, Electrical and LPG Sensing Properties Study of Zinc Oxide Doped Polyaniline Composite (PnZnO)
Authors: Shruti Gogi  , Manjunatha B  , Mahadeva  , Arunkumar Lagashetty  , Sangshetty Kalyane
Published: December 2024

Polymer composites of polyaniline (Pn) and Zinc oxide doped polyaniline (PnZnO) are prepared by in-situ polymerisation method using ammonium persulphate as oxidising agent. Various composites have been prepared by varying the level of additive material Zinc oxide. The phase and morphology of all the synthesized samples were analyzed using basic characterization techniques such as X-ray diffraction (XRD) and scanning electron microscopy (SEM). The AC electrical conductivity of the samples was measured using the impedance technique within a frequency range of 10KHz to 1MHz at room temperature. Additionally, the dc electrical transport property of the composites was investigated within a temperature range of 30-2000C. The PnZnO composites showed an enhanced dc electrical conductivity with increasing temperature and ZnO concentration in polyaniline. The Activation energies were evaluated from Arrhenius plots for all compositions. The activation energy decreased with increasing ZnO concentration in polyaniline matrix. The activation energy of the prepared PnZno composites decreased in comparison with the activation energy of a Pn, while the electrical conductivity increased as the amount of ZnO was increased. The change in electrical resistance of both Pn and PnZnO composites was measured when exposed to 1000 ppm and 2000 ppm concentration of LPG gas. Both samples exhibited a rapid resistance change upon exposure to LPG gas, with the PnZnO composite demonstrating higher sensitivity and suitability for LPG sensing compared to Pn.
Comparative Analysis and Mining of Unstructured Datasets from an Empirical Standpoint
Authors: Pragya Lekheshwar Balley  , Shrikant V. Sonekar
Published: December 2024

Unstructured data is stored in NoSQL type databases, and is used to represent real-world data samples. Because of its unstructured characteristics, the complexity of storage and retrieval is very low, which makes is useful for high scalability application scenarios. But as the scale of data increases, processing & analysis of this data becomes exponentially complex under real-time scenarios. Due to this, researchers have designed a wide variety of low-complexity data-processing methods, which can be applied to multiple NoSQL scenarios. Context-specific methods are needed for data cleaning, reduction, transformation, model building, and pattern mining processes. Due to such a wide variation in data processing models, it is difficult for system designers to identify optimal methods for their context-specific use cases. To overcome this ambiguity, and assist readers in identification of highly efficient data mining techniques, this text discusses design of recently proposed mining techniques that can be applied to unstructured data sets. Based on this discussion, readers will be able to evaluate the reviewed models in terms of their contextual nuances, functional advantages, application-specific drawbacks, and deployment-specific future scopes. This discussion is further extended by a comparison of the reviewed models in terms of processing efficiency, delay of operation, complexity of deployment, cost of deployment and scalability metrics. This will allow readers to identify optimally performing models for different performance-specific use cases. Based on these evaluations, a novel NoSQL Data Mining Rank Metric (NDMRM) is calculated, which combines the evaluation metrics in order to identify optimally performing NoSQL Data Mining Models under real-time scenarios.
Current Applications of Computational Intelligence in Education: A Systematic Review
Authors: Darwin Augusto Moscoso Montoya
Published: December 2024

Computational intelligence is the ability of humans to imitate machines to perform tasks normally considered human intelligence, such as learning, reasoning, and problem solving. Computational intelligence can be used to improve problem-solving ability, understanding human behavior and developing logical reasoning taking into account computer science, among others. This data can be used to create a personalized learning plan adaptable to the individual needs of each student. Therefore, this study seeks to analyze the current applications of computational intelligence in education from the perspective of a systematic review, using globally recognized databases, such as Scopus, Web of Science and Dimensions, with specific search formulas. The time interval selected for the review was from 2013 to 2024, focused on the topic of education. Inclusion and exclusion criteria were applied to filter the results, eliminating research not related to the topic or those with restricted access, subscription, payment, repeated or retracted publications. This article concludes by stating that computational intelligence has the potential to transform education, adapting it to the specific needs of each environment. The following are detected as application trends: the development of more advanced techniques for detecting deception, the optimization of educational processes, the development of specialized educational environments, the application of immersive technologies in higher education and the development of Smart Educational Cities. This article also presents general suggestions based on work aimed at improving the use of operational intelligence in education.
Zeolite Synthesis, Characterization and biological application of Zeolitic Nanoparticles
Authors: S. A. Gomkale  , Manjusha Ugale  , P. T. Kosankar
Published: December 2024

Through chemical synthesis, zeolitic nanoparticles, offers a potential substitute for producing high-value products. In order to create sodium aluminosilicate solutions with Si contents ranging from 1 to 8 molar, fumed silica and sodium aluminate were utilised. In this study, a single-phase zeolite A with high crystallinity was effectively produced using the alkali fusion hydrothermal technique. To identify as synthesised zeolites, X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscope (TEM), and Fourier transform infrared (FT-IR) spectroscopy were used. The type and purity of zeolite were found to be strongly correlated with the synthesis circumstances and parameters, according to the results. The phases of the synthesised zeolites were identical, according to XRD results, and the 2 values were 19.76, 20.40, 20.86, 24.32, 26.34, 26.65, 27.00, 28.29, 35.51, and 39.29. The size of the crystallites was observed to vary between 1 μm. The internal Si-O-(Si) and Si-O-(Al) vibrations were found in the tetrahedra of aluminium and silico-oxygen bridge in the range of 1200-400 cm-1, zeolite water in the range of 1600-3700 cm-1 and pseudo-lattice vibrations of structural unit in the range of 500-700 cm-1, according to the FTIR spectra. Inspecting the surface morphology of the powdered synthetic zeolite using SEM photomicrographs, it was discovered that it possessed a lamellar structure with a cubic edge and a crystal size. The width and length of the pores, which could be seen in TEM photomicrographs, were calculated to be 19.57 nm and 32.44 nm, respectively (length). The range of UV analysis was discovered to be 280 nm. Five different organisms were used to test the biological application.
Awareness of Hypertensive Crisis among Allied Health Science Students
Authors: Sasipriya. G  , Subhasree Sivasakthi A  , Suguna Perumalsamy  , D. Jagadeeswaran  , Dhanraj Ganapathy
Published: December 2024

Introduction: Hypertensive crisis is a case of massive, acute increase in blood pressure which directly endangers the patient’s life, represented by symptoms of hypertension which developed suddenly and which is caused by various etiological moments. Aim: To access the knowledge level and create awareness about Hypertensive crisis among Allied health science students. Material and Methods: This cross-sectional research was conducted with a self-administered questionnaire containing ten questions distributed amongst 100 Allied Health science students. The questionnaire assessed the awareness about Hypertensive crisis among Allied health science students. The responses were recorded and analysed. Results: Among 100 Allied Health Sciences Students 84% of the students were aware of hypertensive crisis. 72% of the students were aware of etiology events of hypertensive crisis. 68%of the students were aware of damages caused by hypertensive crisis. 80% of the students were aware of limitations and management of hypertensive crisis. 75% of the students were aware, whether it will result in death of the patient. Conclusion: There is adequate awareness amongst Allied Health sciences about the Hypertensive Crisis. Enhanced awareness initiatives and Allied health sciences educational programmes together with increased importance for curriculum improvements that further promote knowledge and awareness about Hypertensive Crisis.
Antibiotic Resistance in Hospital-Acquired Infections: Current Trends and Prevention Strategies
Authors: Dr. Lokchand L. Bajaj  , Dr. Bharti L. Bajaj
Published: December 2024

The global healthcare landscape faces a mounting challenge in the form of hospital-acquired infections (HAIs), which significantly compromise patient well-being and strain medical systems. This issue is exacerbated by the proliferation of antibiotic-resistant microorganisms, resulting in heightened patient suffering, elevated mortality rates, and escalating healthcare expenditures. Our systematic review seeks to consolidate and analyze the latest findings on antibiotic resistance trends in HAIs and assess the impact of diverse preventive measures.
We conducted an extensive search across multiple scientific databases, identifying and scrutinizing 127 pertinent studies. Our analysis reveals a disconcerting surge in the prevalence of multidrug-resistant organisms (MDROs) within healthcare environments. Of particular note are the increasing occurrences of carbapenem-resistant Enterobacteriaceae, methicillin-resistant Staphylococcus aureus, and organisms producing extended-spectrum β-lactamases.
The review delves into the regional disparities in resistance patterns and explores how socioeconomic variables influence these trends. Furthermore, we evaluate the effectiveness of various counter-strategies, including programs promoting judicious antimicrobial use, reinforced infection control protocols, and innovative therapeutic interventions.
Our findings emphasize the critical need for synchronized international action to address antibiotic resistance in HAIs. We advocate for the implementation of evidence-based practices and policy reforms to combat this growing threat. This comprehensive analysis serves as a crucial resource for healthcare professionals, policymakers, and researchers, providing insights to guide future efforts in mitigating the impact of antibiotic-resistant HAIs on global health systems.
Revolutionizing Wireless Networks: Cutting-edge Machine Learning Paradigms for Next Generation Connectivity
Authors: Navnath Kale  , Yogesh Gurav  , Dr. E G Satish  , Dr. Sanjeetha R  , Dr. Rajeshwari S B  , Dr. Jagadish S Kallimani
Published: December 2024

In the rapidly evolving landscape of wireless communication technology, the advent of next-generation networks brings forth a pressing demand for unprecedented data rates and innovative applications. To meet the diverse requirements of these sophisticated networks, it is imperative to adopt a revolutionary approach to wireless radio technology. This paper delves into the pivotal role of machine learning, a promising facet of artificial intelligence, in enabling intelligent adaptive learning and decision-making capabilities for future 5G networks.
The vision of future 5G mobile terminals as autonomous entities necessitates seamless access to optimal spectral bands, precise control over broadcast authority, and energy-efficient power management. Machine learning emerges as a transformative tool, empowering these terminals to dynamically adjust transmission protocols based on quality of service requirements while leveraging advanced knowledge and inference mechanisms.
This paper provides a comprehensive overview of fundamental machine learning concepts and advocates for their integration into various applications within 5G networks. From cognitive radios to massive MIMOs, from femto/small cells to heterogeneous networks, machine learning algorithms find utility in modeling complex problems and enhancing system performance.
By exploring the transformative potential of machine learning, this paper aims to guide readers through the foundational concepts of device knowledge algorithms, delineating their application within the dynamic landscape of 5G networks. The integration of machine learning extends to diverse fields such as smart grids, energy harvesting, device-to-device communications, and more, unlocking untapped opportunities for innovation and service delivery.
In conclusion, this paper underscores the significance of machine learning in revolutionizing wireless networks and shaping the future of connectivity. By harnessing advanced learning algorithms, network operators can enhance system efficiency, improve user experience, and unlock new avenues for research and development. As the field of machine learning continues to evolve, it is poised to play a central role in driving the evolution of next-generation networks towards greater intelligence and adaptability.
The Importance of Music Appreciation for Musical Understanding
Authors: Song Yannan  , Albattat Ahmad  , Norhidayah Binti Azman
Published: December 2024

Appreciation of music is an important part of improving the ability to understand and act on music, through which perceptual ability and musical literacy can be enhanced. However, the old and backward model is still used in Chinese music teaching, which leads to high input and low output of music teaching. Appreciation of music is a way to confront whether one's own understanding is correct through the understanding of others, not only to have repeated confirmation of the performer's own understanding, this study explores the importance of music appreciation for music understanding as well as for music performance by examining the literature.
Implementation of Hybridized Meta-Heuristic Model for Feature Selection in Sentiment Analysis
Authors: Alok Kumar Jena  , K Murali Gopal  , Abinash Tripathy  , Sachikanta Dash
Published: December 2024

With the prevalence of social media and its ease of use, scrutinizing social media sentiment can provide effective direction to topics and products. Sentiment analysis is important for understanding the opinions of individuals published on platforms such as social media and product review blogs. Instead, sentiment analysis (SA) is gaining popularity and becoming a buzzword among researchers. Supervised machine learning is popular for its ability to simulate human behavior as an artificial intelligence. Various classification strategies have been developed for this purpose. ANN-based data classification has played an important role in classification. On the other hand, issues such as overfitting, pairwise classification, and parameter regularization affect classifier performance. To overcome this, a group of algorithms known as metaheuristic algorithms iteratively update candidate solutions and identify the best possible solution by maximizing the objective function. Genetic Algorithm (GA) and Firefly Algorithm (FA), which are used to optimize SVM and ANN parameters in this article, outperform SVM, ANN, and ANN. The IMDB film reviews the datasets created for the exper- iment. In order to properly analyze emotions, this study applied trajectory-based and population-based optimization methods and conventional machine learning methods, and found the relatively best results by comparing all the results.
Emergency Remote EFL Learning, A Post-Pandemic Analysis of Indonesian and Colombian Students’ Perceptions: A Quantitative Study
Authors: Karen Villalba  , Heydy Robles  , Adhan Kholis  , Humberto LLinas  , Elkin Villanueva
Published: December 2024

Objective: Enhancing post-pandemic EFL (English as a Foreign Language) curricula through the incorporation the digital tools in conjunction with blended learning strategies has emerged as a compelling domain of scholarly inquiry in language learning. This study explored students' perceptions of emergency remote EFL learning in two private universities in Indonesia and Colombia, as well as the feedback provided by students towards English courses. Method: A quantitative study was applied. Surveys and focus groups were used to collect data that was analyzed by employing a Multigroup confirmatory factor analysis using R-4.3.1 statistical program and content analysis respectively. Findings: In both nations under examination, prevalent were a multitude of adverse perceptions encompassing challenges pertaining to social engagement, cognitive focus, and technological connectivity. Furthermore, a discernible disparity in the perceptions of Indonesian and Colombian students was evident across a spectrum of survey inquiries, encompassing variances in preferences, comfort levels, and perceptions of instructor comprehension. Implication for Theory and Practice: Integrating social interaction into online learning environments for optimizing foreign language acquisition would be valuable. Conclusion: Student feedback revealed the tech challenges behind courses as well as the emotional impact of neglect by governments in the global South.
Proposal of a Framework for the Application of PMI, COBIT and ISO/IEC 38500 Good Practices, for the Governance and Management of IT Projects
Authors: Derlis Milena Mendoza Oñate
Published: December 2024

The research "Proposal for a framework for the application of good practices PMI, COBIT and ISO / IEC 38500, for the governance and management of information technology projects" was developed with the purpose of recognizing how the application of these good practices in the success of information technology projects and for this, a framework was structured with an important focus on IT governance,  structured, methodical, agile in nature, with a level of accessibility and understanding, in such a way that allows its easy customization and adoption in companies that undertake information technology projects and seek to increase the possibility of success in the execution of said projects. To achieve the general purpose of this research, associated with understanding the way in which the application of an integrative framework of these good practices impacts the management of information technology projects, a local diagnosis was first carried out with a small number of companies. with evidence of failure in their IT projects; Next, the most recognized methods in the sector for project management were analyzed; The integration references for these good practices were identified; subsequently the integration framework of ISO/IEC 38500, COBIT and PMI was developed; Finally, a pilot test was applied in a company with execution problems in its IT projects. As the main conclusion of the research, it was obtained that the implementation of an integrative framework of PMI, COBIT and ISO / IEC 38500 in an information technology project positively impacts project management and contributes to increasing its possibility of success. It is expected as a prospective that this framework of application of good practices PMI, COBIT and ISO / IEC 38500, will assist companies that use it in their adequate management of information technology projects, and that it will generate value at a business and economic level. and social, being susceptible to being used in the world, thanks to globalization and the massive use of information and communication technologies.
The Effect of E-Service Quality, Sales Promotion, and Price on Customer Satisfaction in the City of Bandung (Study on Millennial and Gen Z Shopee Food Users)
Authors: Rayhan Azman Taher  , Maya Ariyanti  , Riski Taufik Hidayah
Published: December 2024

The online food delivery sector has become a cornerstone of digital services in Indonesia. Predominantly used by Generation Z and Millennials, these services are often selected based on factors like price, promotions, and service quality. This research seeks to understand the factors influencing customer satisfaction with Shopee Food among Generation Z and Millennial users in Bandung City. The study identified electronic service quality, sales promotions, and price as key determinants of customer satisfaction.Additionally, trust and application design were explored as potential moderators in these relationships. A quantitative research approach was employed, utilizing the Structural Equation Model (SEM) with Smart PLS 3.2.9 software. Data was collected through purposive sampling. Findings revealed that electronic service quality, sales promotions, and price perception positively and significantly impact customer satisfaction. However, the study indicated that trust and application design do not moderate the relationship between electronic service quality and customer satisfaction.
Analysis of System Stability in Dual-Area Network Incorporating Renewable Energy Sources with Learning Method
Authors: Vidhyavati Suryawanshi  , Dr. Surbhi Gupta
Published: December 2024

The most crucial requirement for any modern electrical system is stability. There have been recent reports of grid stability problems associated with the exponential increase in electrical and electronic loads. The test system chosen to evaluate system performance in the presence of renewable energy-based generation units is Kundur's Two-Area System. The current analysis examines problems that arise from the direct integration of these resources, including power stability at generator nodes in the grid system and rotor angle stability. This paper presents a comprehensive dynamic system optimisation technique with the aim of improving system stability in multiple ways. The study explores the effects on a two-area, four-machine system using the MATLAB/SIMULINK environment as the platform for system design and implementation. Wind energy systems are integrated first in Area 1, without the use of a dynamic optimisation control. Area 2 incorporates a dynamic optimisation controller along with solar and wind energy systems. At crucial bus points in the power system, the suggested control mechanism efficiently stabilises rotor angles and power generation.
Empowering Women through Microfinance: Insights from Welenchiti Town, East Central Ethiopia
Authors: Hewan Birhanu  , Rajendrakumar Parmar
Published: December 2024

This study examines the role of microfinance institutions (MFIs) in empowering women in Welenchiti Town, East Central Ethiopia. Utilizing an explanatory research design and a quantitative approach, data were collected from 198 women using questionnaires. The analysis involved frequency, percentage, mean, standard deviation, correlation, and multiple linear regression. The findings reveal that while MFIs contribute to women's empowerment through loan provision and encouragement of saving habits, they fall short in areas such as training and follow-up supervision. Key factors influencing women's empowerment include loan provision, saving facilitation, business training, and follow-up on business activities. Loan provision is pivotal for initiating and sustaining businesses, impacting economic growth by converting ideas into operational ventures. The study recommends that MFIs enhance loan offerings and ensure that women use borrowed funds as intended. Additionally, increasing the number of savings accounts for women and providing business skill training are essential for empowering women and promoting business growth. MFIs should also implement follow-up supervision and consultancy services to support women in managing and expanding their businesses effectively.
Coupling Nanotechnology And Numerical Electromagnetics: Novel Strategies For Nano-Devices
Authors: Mohamed Ayari  , Zeineb Klai  , Atef Gharbi  , Yamen El Touati  , Mahmoud Salaheldin Elsayed
Published: December 2024

This paper examines the integration of nanotechnology and numerical electromagnetic (EM) methods for the design and optimization of nano-devices. Techniques like Finite-Difference Time-Domain (FDTD) and Finite Element Method (FEM) enable precise modeling of phenomena such as quantum effects and surface interactions. Key applications include nano-antennas for communications, plasmonic sensors for diagnostics, and photonic crystals for optical systems.Challenges like computational complexity and quantum effects are addressed through AI-driven simulations and hybrid methods. The study highlights how advanced EM modeling empowers the development of next-generation nano-devices, driving innovation in healthcare, communications, and environmental monitoring.
AHCS: Advanced Health Care System for Critical Care Integrated with AI and Fog Computing in IoT Environments
Authors: Mohd Asifuddola  , Mumtaz Ahmed  , Zahir Abbas Khan  , Mohd Ahsan Siddiqui  , Liyaqat Nazir
Published: December 2024

This paper employs the Pure Edge simulator to analyze the effectiveness of the edge and cloud computing structures addressing task completion time and resource consumption. In the simulation, ”TRADE OFF” and ”ROUND ROBIN” algorithms are used to compare the ”EDGE AND CLOUD” and ”CLOUD ONLY” orchestration architectures with respect to a number of edge devices. The proposed “EDGE AND CLOUD” architecture achieves a bal- ance of the computational load and has a relatively healthy average execution delay and an improved task success rate. In contrast, the “CLOUD ONLY”, where all task processing resides in the cloud, has more task failures because of latency, even if it provides total immediacy of processing and storage. A com- prehensive analysis and comparison have been done, which suggests that hybrid architectures have significant potential to enhance feasibility and efficiency in distributed computing systems.
An Experimental Study To Assess Effectiveness Of Video- Assisted Teaching And Comfort Device On Latching Among Postnatal Mothers In Selected Hospitals, Mumbai
Authors: Ms. Mayuri Sonawane  , Dr. Shweta Kshirsagar
Published: December 2024

Breastfeeding is the most nutrient-dense form of nutrition, and mother's milk is the best milk. Only 50% of mothers are able to breastfeed the baby remaining 50% has some physiological and psychological issues. Training and teaching have a positive impact on breastfeeding. The objectives were to assess and compare the LATCH score before and after intervention in both groups and effectiveness of both the intervention on LATCH score. A quantitative research approach with two group pretest post test design were used. Non probability convenient sampling methods were used. 100 Postnatal mothers who had caesarean/vaginal delivery and who is hemodynamically stable from PNC ward were targeted for the study. Result shows that during pretest majority of the samples had moderate LATCH score and in post test majority of the sample had good LATCH score. It shows that video-assisted teaching and comfort devices had positive impact on LATCH score. Hence H1 in accepted.
Post-Quantum Cryptography: Securing Future Communication Networks Against Quantum Attacks
Authors: Dr. N Krishnamoorthy  , Dr. S. Subbaiah  , J Revathi
Published: December 2024

With the emergence of quantum computing, it will soon break the time-tested cryptography systems, meaning the post-quantum cryptography will be needed to secure next-generation communication networks. This dissertation seeks to explore the implementation and realization of PQC algorithms across different sectors such as vehicular network, IoT devices, as well as large-scale networks of quantum computing. A detailed analysis of the algorithms, including CRYSTALS-Kyber, NTRU, and BB84 Quantum Key Distribution, was conducted to evaluate efficacy, computational efficiency, and quantum-enabled attacks. Key findings reveal that CRYSTALS-Kyber outperforms other algorithms in terms of encryption speed, reducing latency by 40% over NTRU in constrained environments. Furthermore, BB84 QKD protocols were demonstrated successfully with 98% data integrity compared with the noise network conditions. Optimized implementation of the NTRU using parallel computing achieved a 35% gain in processing efficiency and is thus considered worthy for resource-constrained IoT applications. This study confirms that PQC algorithms can be adapted to meet the unique demands of various fields, laying a strong foundation for their integration as quantum-resistant standards in secure communication systems.
Fixed Points From Kannan Type S-Coupled Cyclic Mapping In Complete S-Metric Space
Authors: MARY ANUSHIA. S  , S. N. LEENA NELSON
Published: December 2024

The aim of this paper is to establish some strong coupled fixed point results in complete S-metric space which is the generalization of G. V. R. Babu and P. Durga Sailaja. Also, we give examples to illustrate our results.
A Deep Learning Framework With Optimizations For Automatic Detection And Localization Of Dendritic Spine
Authors: Sravya Boya  , Dr. M.Upendra Kumar  , Dr. Fahmina Taranum  , Dr. A. C.Priya Ranjani  , Dr. Uma N Dulhare  , Dr. Syed Shabbeer Ahmad
Published: December 2024

With the emergence of Artificial Intelligence (AI), various problems in healthcare industry are being solved. Dendritic spines are protrusions that occur on dendrites of neurons reflecting indications pertaining to brain functionality. Therefore, dendritic spine detection research assumes significance in healthcare domain. There are many existing efforts towards detecting the dendritic spines from medical images automatically. However, there is need for further optimization in detection process besides localization of dendritic spines. Towards this end, in this paper, we proposed a deep learning based framework which exploits multiple models for efficient detection of dendritic spines. The framework exploits VGG16 model for extracting features from given medical image. The features are further used by faster RCNN model which is the actual dendritic spine detection model. The faster RCNN model exploits region proposal network which could provide extracted region proposals that make the detection process easier and efficient. We proposed an algorithm known as Learning based Dendritic Spine Detection (LbDSD) which exploits deep learning models for efficient detection and localization of dendritic spines. Our empirical study with a benchmark dataset revealed that the proposed deep learning framework and underlying algorithm outperforms existing deep learning based methods with highest accuracy 94.87%.
Consultancy, Advice and Specialized Research on Active Mobility with Two-Person Electric Vehicles, As A Carsharing and Micro-Mobility Strategy in Cuenca
Authors: Edwin Paúl Feijoo Criollo  , Cristian Eduardo Zamora Matute
Published: December 2024

The Study Advice and specialized research on active mobility with two-person electric vehicles, as a Carsharing and micromobility strategy in Cuenca, is the instrument that will analyze the needs of alternative transport in the city of Cuenca through the application of an Origin-Destination matrix, which will provide the information for the analysis of the two-person electric vehicle as a possible alternative means of transport. In addition, some parameters will be evaluated, such as: calculation of demand, model to be implemented, sources of income. Among the main findings of this research, it is found that, in the face of the implementation of the proposed model, the behavior of demand in the first months should be analyzed, and if possible, a prior expansion plan should be had both in number of units, as well as in number of stations and areas of scope.