bluuebunny/crossref_metadata_2025 huggingface dataset:
A Review of Analytical and Intelligent Methods for Optimal Distributed Generation Placement in Modern Distribution Networks: Techniques, Challenges, and Future Directions
Authors: Akinyede Akinyede , Adenike Josephine , Akinyede Akinyede , Temitope Temitope , Alake Alake , John Temitope
Published: December 2024

This comprehensive review examines the state-ofthe-art methodologies for optimal Distributed
Generation (DG) placement in modern distribution
networks, addressing the critical challenges of power
quality enhancement and system reliability. The study
systematically analyses various approaches including
analytical methods, optimization techniques, artificial
intelligence algorithms, graph theory applications,
simulation-based methods, and hybrid solutions.
Recent research indicates that optimized DG
placement can achieve up to 60% reduction in system
losses and 15% improvement in voltage profiles. The
review highlights that while traditional analytical
methods provide mathematically robust solutions,
they often face scalability challenges in large
networks. Artificial intelligence methods, particularly
hybrid approaches combining neural networks with
conventional techniques, have demonstrated superior
performance with 25% better solution quality and
35% reduced computational time. The paper also
explores emerging trends, including real-time
optimization and blockchain integration, while
addressing critical challenges such as renewable
energy intermittency and regulatory frameworks.
This review contributes to the field by providing a
comprehensive evaluation framework for DG
placement methods and identifying promising
directions for future research in the context of
evolving smart grid technologies.
Multi-Tenant yet Customizable Cloud Native SaaS Web Application leveraging AIML: Architecture & Strategies
Authors: Bilur Sunil S. , Salunkhe Mahesh S.
Published: December 2024

:The rise of cloud-native architectures
has enabled the rapid development and deployment
of scalable Software-as-a-Service applications.
However, building multi-tenant systems that support
extensive customization for individual tenants
remains a challenge. This paper explores strategies
to overcome these challenges in the context of
developing an AI/ML-enhanced Enterprise
Resource Planning (ERP) system for educational
institutions. We propose a microservice-based
architecture that decouples AI/ML models from the
main application, dynamically generating UI
components, forms, routes, and implementing
flexible role-based access control (RBAC). This
architecture allows tenant-specific customization
without sacrificing the scalability, security, and
maintainability of a cloud-native system. Real-world
implementation details and strategies for
sustainability are discussed, along with challenges
faced.
An Exploration of Key Challenges in Maritime Transport: Perceived Barriers and Their Impact on Global Supply Chain Efficiency
Authors: Albert Enyinda Chukwuemeka
Published: December 2024

The maritime transport sector plays a critical role in
global trade by facilitating the movement of goods
across continents. However, several challenges
hinder its efficacy, thereby affecting the
performance of global supply chains. This study
investigates key maritime challenges, such as cyber
security risk, technological barriers, high
operational cost, geographical disruptions,
environmental regulations, and port congestion and
assesses their impact on supply chain efficiency,
measured through lead time. Data for the study was
only secondary data, analysis was done using
descriptive and regression, the results from the
reveal that each of these challenges contributes
positively to increased lead time, highlighting their
detrimental effect on supply chain performance.
Technological barriers, port congestion, and
geographical disruptions emerged as particularly
significant bottlenecks. Furthermore,
environmental regulations and cyber security risks,
through necessary, introduce additional delays and
inefficiencies. The study concludes that
coordinated efforts are required to mitigate these
challenges through enhanced risk management,
technology adoption, and operational efficiency.
Addressing these issues proactively will improve
supply chain resilience and sustain global trade
flows in an increasingly complex maritime
environment.
Sign language recognition using convolutional neural network
Authors: Potluri Dr.Tejaswi , Mehnaz Arshiya , Varsha T Amrutha , Priyadharshini Taneti , Bhavana Vaddepalli
Published: December 2024

: Sign language detection plays a vital
role in enhancing accessibility, communication,
and inclusion for individuals who are deaf or hard
of hearing. It is an essential tool that facilitates
smooth communication in various environments,
such as schools, workplaces, healthcare settings,
and daily interactions. By accurately identifying
and interpreting sign language gestures, this
technology helps bridge communication barriers
between sign language users and those unfamiliar
with it, ensuring equal access to information and
services. In education, this technology supports
language learning, literacy, and academic
achievement for deaf students. In healthcare,
reliable sign language detection ensures that
medical information and consultations are
conveyed clearly, improving care quality for deaf
patients. In the workplace, it promotes inclusivity
by enabling effective communication between deaf
employees, their colleagues, and clients, fostering
equal opportunities and professional growth.
Additionally, during emergencies, this technology
can save lives by facilitating swift and precise
communication between emergency responders and
deaf individuals. When incorporated into assistive
technologies, sign language detection enables deaf
individuals to independently handle everyday tasks,
such as accessing digital content, using smart
devices, and engaging in online interactions.
F.Y.B.Tech Students’ Engineering Design and Innovation (EDAI 2) Project Paper, SEM 2 A.Y. 2023-24 Vishwakarma Institute of Technology, Pune, INDIA
Authors: Rajput Prof.Vaishali , Ambar Soham , Ambodekar Yash , Patil Akshat , Yadav Akshat , Ambilwade Ritika , Ambekar Sejal
Published: December 2024

: In the digital age, the need for secure
communication has become paramount, leading to
the development of various techniques for data
protection and privacy. Image steganography, the
practice of concealing information within digital
images, has emerged as a crucial method for covert
communication. This paper delves into the
application of the Least Significant Bit (LSB)
insertion technique for image steganography. LSB
insertion is a straightforward yet powerful approach
that involves modifying the least significant bits of
pixel values in an image to embed secret data. This
method leverages the human eye's insensitivity to
minor changes in color values, ensuring that the
alterations remain imperceptible to observers.
We begin by exploring the theoretical underpinnings
of LSB insertion, including the principles of digital
image representation and the rationale behind the
selection of least significant bits for data embedding.
Following this, we present a detailed implementation
framework for LSB insertion, Outlining the
Algorithmic steps involved in both embedding and
extraction processes. The paper evaluates the
effectiveness of LSB insertion in concealing data
without compromising the visual quality of the
carrier image.
Moreover, we address potential vulnerabilities
inherent in LSB-based steganography, such as
Challenge of ensuring robustness against
common image manipulations like compression and
cropping. To mitigate these vulnerabilities, we
propose enhancements and countermeasures,
including the use of cryptographic techniques and
adaptive LSB insertion methods.
Through extensive experimental results, we
demonstrate the capacity of LSB insertion to
securely embed and retrieve information,
emphasizing its practicality and efficiency for realworld applications. The findings indicate that LSB
insertion can be effectively used for secure
communication, provided that certain precautions are
taken to enhance its robustness. This research
contributes to the field of secure communication by
presenting a comprehensive analysis of LSB
insertion and its potential for enhancing data privacy
in digital communications.
An Analysis of Trapezoidal Neutrosphic Fuzzy Traveling Salesman Problem for Medical Equipment Distribution to Hospitals
Authors: C.Jayabharathi C.Jayabharathi , Porchelvi R.Sophia
Published: December 2024

The Traveling Salesman problem
(TSP) is one optimization problem that has
received a lot of interest in research. Trapezoidal
Neutrosophic numbers (NNs) are used in the
present work to examine the Neutrosophic Fuzzy
Travelling Salesman Problem (NFTSP). The main
objective of this TSP is to optimize the routes for
medical items, like equipment or vaccines, to be
transported to hospitals and clinics in order to
guarantee quick and effective distribution. Here ,
we use the diagonal completion approach to solve
the given TSP.
Survey on Generative AI in Education
Authors: Hisham Mohammed , Vinod Nandana , Liz Kuriakose Diana , Maria Joshy Maria Joshy , Syama S Syama S
Published: December 2024

This paper explores how large
language models are being used in educational
institutions, after which it goes on to examine their
applications, challenges, and ethical implications.
By synthesizing recent insights, the paper will
delve into LLM text clustering, customization of
higher education, and personalized learning. The
presence of generative AI tools, such as ChatGPT,
will transform the arena of research efficiency and
adaptive learning. However, issues related to
privacy, data security, and ethics such as
algorithmic bias are still present and have to be
sorted out. The paper presents suggestions for the
responsible integration of LLMs into learning
structures to nullify risk issues that may pose a
threat to augmenting positive learning outcomes.
Farklı Uzamsal Akıl Yürütme Düzeyindeki İlköğretim Matematik Öğretmeni Adaylarının Kovaryasyonel Akıl Yürütme Becerileri
Authors: Doruk Muhammet , Cihan Fikret
Published: December 2024

Bu araştırmanın amacı ilköğretim matematik öğretmeni adaylarının uzamsal akıl yürütme düzeylerini tespit etmek ve farklı uzamsal akıl yürütme düzeylerindeki öğretmen adaylarının kovaryasyonel akıl yürütme becerilerini incelemektir. Bir durum çalışması olan bu araştırmanın ilk kısmında öğretmen adaylarının uzamsal akıl yürütme düzeyleri tespit edilmeye çalışılmıştır. 13 öğretmen adayına Uzamsal Yetenek Testi uygulanmıştır. Elde edilen verilerin analizinde nicel betimsel istatistiklerden faydalanılmıştır. Analiz sonucunda farklı uzamsal akıl yürütme düzeyine sahip beş öğretmen adayı tespit edilmiştir ve araştırmanın ikinci kısmında bu öğretmen adaylarının kovaryasyonel akıl yürütme becerileri incelenmiştir. Kovaryasyonel Akıl Yürütme Formu ile yapılandırılmamış ve yarı yapılandırılmış görüşmelerden elde edilen veriler nitel betimsel analiz ile çözümlenmiştir. Araştırmanın sonuçlarına göre öğretmeni adaylarının uzamsal akıl yürütme düzeyleri arttıkça kovaryasyonel akıl yürütme becerileri de artmaktadır.
Spor Bilimleri Fakültesinde Okuyan Öğrencilerin Spora Yönelik Tutumlarının İncelenmesi: Trabzon Üniversitesi Örneği
Authors: Zengin Samet , Paslı Furkan , Köse Bedirhan
Published: December 2024

Spor, bireylerin fiziksel ve zihinsel sağlığını geliştirmek amacıyla belirli kurallara göre yapılan fiziksel aktiviteler bütünüdür. Tutum kavramı, sosyal bilimlerde düşüncelerin anlamlandırılması ve düzenlenmesinde temel bir unsurdur. Spora yönelik tutum ise, bireylerin bu aktivitelerle ilgili duygu, düşünce ve davranışlarını etkileyen önemli bir faktördür. Bu çalışma, Trabzon Üniversitesi Spor Bilimleri Fakültesi'nde öğrenim gören öğrencilerin spora yönelik tutumlarını çeşitli değişkenlerle incelemeyi hedeflemektedir. Betimsel tarama modeli kullanılarak yapılan araştırmada, 267 katılımcı (154 erkek, 133 kadın) rastgele örnekleme yöntemi ile seçilmiştir. Veri toplama aracı olarak demografik bilgi formu ve Şentürk'ün (2014) geliştirdiği "Spora Yönelik Tutum Ölçeği" kullanılmıştır. Bu ölçek, “spora ilgi duyma, sporla yaşama ve aktif spor yapma” olmak üzere 3 alt boyut ve 25 maddeden oluşmaktadır. SPSS21 paket programı ile yapılan analizlerde “aile gelir düzeyi, akademik başarı ve yaş” değişkenlerinde alt boyutlara göre anlamlı farklar bulunmuştur (p
Fabrication and evaluation of Wrap Around Neural-Pass to record and stimulate neural activity in the cervical spinal cord
Authors: Tsuji Kazushi , Ninomiya Atsuhiko , Iwanuma Naoki , Qiu Chenxi , Oba Shutaro , Kino Hisashi , Fukushima Takafumi , Katayama Norihiro , Niizuma Kuniyasu , Endo Hidenori , Tanaka Tetsu
Published: December 2024

We have successfully fabricated a Wrap Around Recording Electrode to record neural activity in the Cervical Spinal Cord (CSC) and a Wrap Around Stimulating Electrode to stimulate the CSC. These are used in the Wrap Around Neural-Pass to improve the QOL of patients with CSC injury by restoring motor, sensory, upper limb, and lower limb nerves minimally invasively that invades only the CSC. The fabricated electrodes had sufficient wrapping ability to be wrapped around the CSC of rats and could record neural activity in the rat’s spinal cord. We also clarified the optimal polymerization conditions for PEDOT used as the stimulating electrode material for the Wrap Around Stimulating Electrode, and the electrodes had low impedance, high Cathodal Charge Storage Capacity (CSCC), and Charge Injection Capacity (CIC) suitable for stimulating the CSC nerves.
Analysis of Scooter Spare Parts Sales at Harapan Indah Scooter Using the K-Means Algorithm
Authors: Sarimole Frencis Matheos , Lingga Tracy Olivera
Published: December 2024

: K-means clustering algorithm has been used in this study to analyze the sales performance of scooter spare parts at Harapan Indah Scooter. By using the K-means method, researchers can classify products into 3 categories according to their sales volume. The purpose of this analysis is to identify patterns in sales data and compare the characteristics of each product group. Researchers can see the output from the previous step shows three clusters: Low, Medium, and High Sales. Associating products with these categories Empowers improved tracking of sales movements and fluctuation trends in product options. The findings of this study can be useful in the field of inventory management and to develop marketing strategies to increase product sales. Companies can find out which products fall into which categories and therefore can make better decisions on how to manage stock and promotional efforts. These findings are the first step to maintain and improve sales performance and optimize Harapan Indah Scooter business
Precise Lung Cancer Prediction using ResNet – 50 Deep Neural Network Architecture
Authors: Lakide Vedavrath , Ganesan V.
Published: December 2024

The fact that lung cancer continues to be the leading cause of cancer-related death around the world emphasizes how important it is to improve diagnostic methods. Using computed tomography (CT) images and deep learning techniques, the goal of this study is to improve the classification of lung cancer. EfficientNetB1 and Inception V3 are two well-known convolutional neural network (CNN) architectures that we compare the performance of our modified ResNet50 architecture against in order to determine how well it performs in the classification of lung nodules. Analyzing the effects of various preprocessing and hyperparameter optimization methods on model performance is one of our research objectives. Another is to determine how well these models improve diagnostic accuracy. An extensive collection of CT images with annotated lung nodule classifications make up the utilized dataset. To ensure accurate model training and improve image quality, a rigorous preprocessing pipeline is used. Using the Keras Sequential framework, the models are trained with optimal dropout rates and L2 regularization to prevent overfitting. Metrics like accuracy, loss, and confusion matrices are used to evaluate model performance. A comprehensive evaluation of the model's sensitivity and specificity across various thresholds is also provided by means of the Free-Response Receiver Operating Characteristic (FROC) curve and Area Under the Curve (AUC) values. The adjusted ResNet50 model showed prevalent order exactness, accomplishing a precision of 98.1% and an AUC of 0.97, in this way beating different models in the review. EfficientNetB1 had an accuracy of 96.4 percent and an AUC of 0.94, while Inception V3 had an accuracy of 95.8 percent and an AUC of 0.93, as a comparison. Based on these findings, it appears that the accuracy of lung cancer detection from CT images can be significantly improved by combining specialized preprocessing and training methods with advanced CNN architectures. With potential implications for clinical practice and future research directions, this study offers a promising strategy for increasing lung cancer diagnostic accuracy.
Predicting Evolutionary Importance of Amino Acids through Mutation of Codons Using K-means Clustering
Authors: Hussain Nasrin Irshad , Boruah Kuntala , Akhtar Adil
Published: December 2024

Mutation is a random biological event that may cause permanent (long term) change in living organism induced by several structural or composition alteration in the proteins. During mutation genetic materials such as nucleotide bases in the codons is changed which potentially contributed to the alteration in the codons and consequently the amino acid that new codon encodes. In this study mutation at different nucleotide base positions within the codons is analyzed to understand the evolutionary importance of amino acids. By creating hypothetical mutations at the first, second and third positions of all 61 codons (excluding stop codons) and using K-means clustering, we categorized the resulting amino acids. Our analysis reveals that mutations at the second base position generate the highest number of distinct amino acids, indicating greater evolutionary significance compared to first and third position mutations. We applied the proposed framework on COVID-2 SARS-CoV-2 (Homo sapiens) amino acid sequence and are able to deduce several significant findings about the mutation patterns. The clustering analysis revealed that amino acids such as Glycine (G), Alanine (A), Proline (P), Valine (V) and one polar amino acid are recurrent in the combined centroids of the clusters. These amino acids, predominantly hydrophobic, play a crucial role in stabilizing protein structures. This framework not only gives the insight understanding of mutation patterns and their biological significance but also underscores the importance of specific amino acids in the evolutionary process.
Advanced Bi-CNN for Detection of Knee Osteoarthritis using Joint Space Narrowing Analysis
Authors: Kadu Rahul , Pawar Sunil
Published: December 2024

The prevalence of knee osteoarthritis is significantly increasing due to the expanding global ageing population and the rising incidence of obesity. Many researchers use artificial intelligence analytics for knee osteoarthritis (KOA) prediction and treatment. The majority of research is restricted to particular patient groups or attributes, such MRI, X-ray, or questionnaire groups. In our research we propose the use of advanced ortho bilinear convolutional neural network (CNN) classifier to enhance the precision of knee osteoarthritis detection through joint space narrowing analysis. Recognizing the critical need for accurate and early diagnosis in osteoarthritis, this study introduces a sophisticated approach leveraging the unique capabilities of bilinear CNNs (BiCNN). By integrating bilinear interactions within the CNN architecture, the model aims to capture convoluted spatial and channel-wise dependencies in knee radiographic images, thereby improving the capability to understated changes in osteoarthritis progression, particularly within the joint space. The proposed bilinear CNN classifier technique promises to refine the precision of knee osteoarthritis detection, providing clinicians with a powerful tool for identifying joint space narrowing with improved accuracy. Based on the experiment over unseen images, the recall was 93.04%, precision 96.33%, F1 Score was 95.46% and overall accuracy was 94.28%. Results show the superiority of the proposed method compared to other state-of-the-art methods. Hence the proposed method can be used for KOA diagnosis and KL grading in real time scenarios.
Neonatal Jaundice Severity Detection from Skin Images using Deep Transfer Learning Techniques
Authors: ALdabbagh Banan , Aziz Mazin H.
Published: December 2024

Neonates in the initial weeks postpartum frequently experience jaundice, a prevalent medical condition characterized by the yellow discoloration of the sclera and integumentary surfaces. This phenomenon transpires as a result of the elevation of bilirubin concentrations within the circulatory system. When bilirubin levels reach critical thresholds, they present a considerable risk for severe complications, including neurological impairment, which represents one of the gravest outcomes that may ensue if the condition is not addressed with due diligence. This study investigates a non-invasive method for assessing jaundice severity in full-term infants from 1 to 29 days, focusing on infants in Mosul city. A dataset of 344 images was collected using an iPhone 12 Pro Max (9MP camera) at Ibn Al-Atheer Hospital, capturing various skin tones and lighting conditions to ensure accurate analysis. Advanced computer vision techniques were used to classify jaundice severity into three and four categories based on skin images. Pre-trained deep transfer learning models, namely VGG16 and ResNet50, were utilized for training, with the fully connected layer removed and a suitable classifier designed for each model. VGG16 achieved 91.71% accuracy for the three-category classification, while ResNet50 reached 95.98%. For the four-category classification, accuracies of 94.92% and 94.66% were achieved, respectively. These high accuracy levels suggest that non-invasive, image-based assessments can reduce the need for repeated blood tests. This research highlights the potential of using smartphone-based methods for jaundice screening in neonatal care, providing a reliable, accessible tool to reduce strain on medical facilities and improve early detection.
Modelling of Human Cerebral Blood Vessels for Improved Surgical Training: Image Processing and 3D Printing
Authors: Jacinda Reica Diva , Menik Dwi Kurniatie  , Yossy Nebrisca Patriana , Hawar Ihtifazhuddin , Setiawan Andreas Wilson , Adidharma Peter , Prasetya Mustaqim , Desem Muhammad Ibrahim , Asmaria Talitha
Published: December 2024

Human cerebral blood vessels are highly intricate and significantly contribute to brain function support. In the surgical process of these vessels, the neurosurgeons will basically employ magnetic resonance imaging (MRI) as an imaging media to understand the location of the disorder, the anatomical position of vessels, and a guide in the surgical process. However, the usage of MRI data remains a challenge for surgeons in understanding anatomical structures in greater detail, as well as the limitations of training in handling difficult cases. This study aims to provide further technology, combining three-dimensional (3D) image models and 3D printing to accommodate the lack of visualization and pre-operative simulation using MRI data. First, the MRI data would be exported to a software 3D slicer that has the ability to process images with a threshold method to segment the required body parts and generate 3D models. Then, the 3D model of blood vessels would be imprinted using the SLA method to provide the complex anatomical structures of blood vessels. The results from both 3D image modeling and 3D printing have been validated and have dimensions similar to those of the MRI data, indicating that this work is highly accurate. This work significantly helps the surgeons to have a better plan for the surgery steps, identify potential issues before the procedure begins, and develop more precise approaches.
A PROSPECTIVE RANDOMIZED CONTROLLED STUDY COMPARING PERIARTICULAR MULTIDRUG INFILTRATION AND EPIDURAL CATHETER USE IN TOTAL KNEE ARTHROPLASTY.
Authors: Dahmiwal Aditya , Goyal Divyanshu
Published: December 2024

Purpose: This study aimed to evaluate the effectiveness of periarticular multidrug infiltration (PMDI) and compare it with epidural catheter use.
Methods: A total of 58 patients (58 joints) undergoing total knee arthroplasty participated in this single-center, prospective, parallel, randomized
controlled trial. Preoperatively, patients were randomly assigned to either the PMDI or epidural catheter group. Postoperative pain was assessed
using the visual analog scale (VAS) and narcotic consumption, while functional outcomes were evaluated through knee flexion range of motion
(ROM), the day patients were able to perform the straight-leg raising (SLR) test, and the day they began using a cane. Laboratory data, including
white blood cell (WBC) count and C-reactive protein (CRP) levels, were also analyzed. Results: There were no significant differences between the
PMDI and epidural catheter groups in VAS scores, knee flexion ROM, the day patients could perform SLR, or the day they started using a cane.
However, the PMDI group was able to perform SLR on postoperative day (POD) 1 (p < 0.05). The WBC count on POD 1 was significantly higher in
the PMDI group (p < 0.05), while CRP levels were significantly lower in the PMDI group on POD 1 (p < 0.01), 3 (p < 0.01), and 5 (p < 0.01)
compared to the epidural catheter group. The incidence of side effects was not significantly different between the groups. Conclusion: PMDI was
as effective as epidural catheterization for pain management. A higher percentage of PMDI patients could perform SLR on POD 1, suggesting
earlier functional recovery. Additionally, PMDI may reduce systemic inflammation, potentially due to the use of steroids.
PREVALENCE AND RISK FACTORS ASSOCIATED WITH OPMDs & OSCC: A RETROSPECTIVE INSTITUTIONAL STUDY (2006-22)
Authors: Shah Jigna , Joshi Kinjal
Published: December 2024

Background- To reduce the significant mortality and morbidity associated with Oral Squamous cell carcinoma (OSCC), one approach is to
enhance early detection of OSCC by case discovery or organised screening programmes. Objectives- The present study reported analysis of 17
years institutional study (2006-2022) and aimed to assess potentiality & risk factor of Oral potentially malignant disorders (OPMDs) & OSCC. The
objective of the study is to determine occurrence of OPMDs & OSCC (smoking /smokeless tobacco) & their occurrence according to age, gender,
type & duration of habit. Material & Method- 5,46,334 OPD patients visited to our institute during 17 years study period (2006-2022). Out of
these individuals, clinically diagnosed OPMDs and OSCC were examined in detail. Results- Present study showed a changing pattern of OPMDs
and OSCC prevalence based on age, gender, and habit-related lesion. Out of 12233 OPMDs, 52.8% had OSMF, 26 % had leukoplakia, 4.9 % had
smoker's palate, 9.4% had tobacco quid lesion, and 6.7 % had lichen planus. OPMDs have increased in the preceding ten years as a result of
increased tobacco consumption and advertising. In addition, the male to female ratio has changed. Conclusion- To minimize the incidence rate,
educate the public about the risk factors, early symptoms of OPMDs, which allows us to encourage preventative efforts and thereby lower
morbidity and death rates.
COMPARATIVE ANALYSIS OF DIAGNOSTIC ACCURACY OF GLASGOW COMA SCALE WITH FULL OUTLINE OF UNRESPONSIVENESS (FOUR) SCALE IN PEDIATRIC NON-TRAUMATIC COMA CASES.
Authors: Wani Anand , Khan Mohammad , Hire Rohankumar
Published: December 2024

Coma is a neurological emergency in children, with possibly unpleasant consequences. Non-Traumatic Coma (NTC) in children is an important
paediatric emergency. Despite its widespread use, the GCS has many limitations, including the impossibility to assess the verbal score in intubated
or aphasic patients, and an inconsistent inter-rater reliability. The full outline of unresponsiveness (FOUR) score is a new coma scale that was
recently developed and validated in adults as a proposed replacement for the GCS, and it is not reliant on the verbal response. Hence we aimed to
compare the diagnostic accuracy for prediction of mortality (in terms of sensitivity and specificity) of Glasgow coma scale and Full Outline of
Unresponsiveness Scale for paediatric non-traumatic coma cases. This was an observational, hospital-based screening test study. This study was
conducted in Department of Paediatrics of a tertiary care centre. Sample size was calculated using formulae: n = Zα2 (5%) p (1-p) / E2 and found to
be 38. Children aged <18 years who presented with impaired consciousness were subjected to inclusion and exclusion criteria. Severity of coma
was calculated at the time of admission by using modified Glasgow coma scale [19] and FOUR score [20]. Most common aetiology for paediatric
non-traumatic coma was meningoencephalitis (27.5%) followed by TBME (20.5%), bacterial meningitis and cerebral malaria (12.5% each).
Sensitivity and specificity of FOUR score at the cut-off of 7 was 88.9% and 83.9% while its positive and negative predictive value was 61.5% and
96.3% with overall diagnostic accuracy of 85%. Sensitivity and specificity of GCS score at the cut-off of 8 was 88.9% and 77.4% while its positive
and negative predictive value was 53.3% and 96% with overall diagnostic accuracy of 80%. The results of our study showed that, GCS and FOUR
score both have good value in predicting the mortality of paediatric non-traumatic coma case. We also concluded there is high correlation between
GCS and FOUR score in predicting in-hospital mortality. However, FOUR score has slightly better diagnostic accuracy than GCS scale. With
further clinical research, this tool can supersede GCS as the monitoring tool of choice in such cases.
DETECTION OF DENGUE VIRUS SEROTYPES BY MULTIPLEX RT- PCR ASSAY AND PREVALENCE IN SOUTHERN RAJASTHAN
Authors: Sharma Shubhangi , Sharma Anshu , Bishnoi Sangeeta , Choudhary Saroj
Published: December 2024

Background: Dengue fever is a vector-borne infection transmitted mainly by Aedes mosquitoes. The dengue virus is an enveloped, singlestranded positive-sense RNA virus with four serotypes: DEN-1, DEN-2, DEN-3, and DEN-4. A fifth serotype was identified in 2013 from
Bangkok. Multiple genotypes have been described within the serotypes with up to 6% intra-serotype nucleotide sequence divergence. All four
serotypes (Dengue 1, 2, 3, and 4) have been isolated in India. At present, DENV 1 and DENV 2 serotypes are widespread in India.DNV serotype 2
has been the most prevalent serotype over the past 50 years, but serotypes 3 and 4 have appeared in some epidemics as well. Aim:The present study
will help in detecting dengue virus serotypes by multiplex RT-PCR assay and determining their prevalence in the southern part of Rajasthan. If
more than one serotype is found to be prevalent in this zone, it indicates a risk of DHF/DSS. Method: The study was mainly concentrate on the
Southern part of Rajasthan, Limited studies have been performed in the epidemiological as well as molecular screening of DENV in this region.
Serum sample were collected from patients suspected for dengue like illness during Nov.22 to Dec. ELISA(IgM & NS1Ag) assay was performed
as per the standard laboratory protocol. Subsequently samples which are positive for NS1 but negative for IgM were included for molecular assay
for DENV detection and ascertain of the different DENV Serotypes. Result: A total 6278 samples were enrolled ,in which 3735 samples were
tested using IgM ELISA tested and 2543 samples were tested usingNS1Ag ELISA. 260 samples found as NS1Ag positive. Simultaneously, we
have screened the 260 serum samples for DENV using the real-time Multiplex RTPCR assay. The overall mean age was 30.02 ± 18.01 years, with
64% of males and 35% of female enrolled.DENV-2 most commonly serotype followed by DENV-1 & concurrent circulation of multiserotypes
found in the study population. Conclusion: This study conclude that DENV-2 was most prevalent in our region, although co-circulation of other
serotypes DEN 1, 3 and 4 serotypes was also observed among the dengue cases. Apart from dengue infection with single serotype, gradual increase
in multiple serotypes co-circulation in this part of India is observed. This may be a warning sign of the future epidemics which is again a serious
matter of concern.
Het eigene van de pedagogische blik
Authors: Van Crombrugge Hans
Published: December 2024

Het eigene van de pedagogische blik is het oog hebben voor de werkelijke mogelijkheden van opvoeder, opvoedeling en de wereld. Het pedagogisch
perspectief is niet zozeer beschrijvend, noch normerend, maar veeleer inspirerend en appelerend. De funderende intuïtie hierbij is recht doen aan de weerspannige
onherleidbaarheid van opvoedeling, opvoeder en opvoedingswerkelijkheid. Deze pedagogische blik wordt niet gevormd door wetenschappelijke kennisoverdracht, maar wel gecultiveerd door het opnemen van mensen – pedagogen en opvoeders – in de pedagogische verhalenschat.
‘We willen dat het goed gaat met de kinderen’: Investeren in pedagogisch partnerschap in brede scholen
Authors: Calkoen Pauline , Jurrius Kitty , Verhagen Stijn , Verheijke Jacques
Published: December 2024

Hoewel brede scholen op papier vaak een pedagogische visie hebben geformuleerd,
blijkt deze in de alledaagse afstemming tussen docenten, kinderleiders,
welzijnswerkers en overige professionals in de brede school niet altijd
sterk te leven. Ook met ouders is er vaak minder pedagogisch contact en partnerschap
dan op papier wordt geambieerd. In Amersfoort wilden twee brede
scholen van de Stichting Amersfoortse Brede Combinatiescholen (ABC) hierin
verandering brengen. In samenwerking met onderzoekers van het lectoraat
Participatie en Maatschappelijke Ontwikkeling (PMO) van de Hogeschool
Utrecht zijn gedurende twee jaar onderzoek, participatie en pedagogische
visieontwikkeling verenigd. Een belangrijke uitkomst van het traject is dat
door het geven van een meer volwaardige positie van zowel professionals als
ouders in het proces van pedagogische visievorming, het pedagogisch opgroeiklimaat
een impuls kan krijgen. Zowel onderzoek als activiteiten kunnen
daaraan een bijdrage leveren.
Dialogisch onderwijs als talentherkenning
Authors: Pols Wouter
Published: December 2024

Dit hoofdstuk doet verslag van een onderzoek dat het Kenniscentrum Talentontwikkeling
van de Hogeschool Rotterdam in 2011-2012 deed naar dialogisch
onderwijs en talentherkenning. Het beschrijft allereerst het pedagogisch
kader van waaruit het onderzoek is opgezet. Vervolgens bespreekt het
de opbrengsten ervan. Het onderzoek wijst uit dat leraren niet alleen de technieken
van het dialogisch onderwijs binnen een bepaalde periode zich eigen
kunnen maken, maar dat ze ook ermee de talenten van hun leerlingen (hier
opgevat als kwaliteiten) kunnen herkennen. Niet elke leraar doet dat echter
op hetzelfde niveau.
La formación de valores para la ciudadanía en la educación universitaria
Authors: Fierro CHONG Bárbara Maricely , García Caballero Angela María , Naipe Delgado Marta Caridad , Acosta Morales Haydee
Published: December 2024

El objetivo es exponer los fundamentos identificados para la formación de valores para la ciudadanía en el contexto universitario. Se aplicaron métodos de investigación del nivel teórico tales como el análisis y la síntesis, el histórico-lógico y el interpretativo, para una comprensión del proceso formativo bajo condiciones singulares histórico sociales y culturales. Se identifica como resultados la significatividad y pertinencia de los fundamentos de la neuro educación y las tecnologías en la formación de valores. Se concluye que en la educación universitaria este es un componente esencial que se expresa en las singularidades de las carreras universitarias.
El uso de la evaluación docente universitaria para la mejora de la calidad de la docencia: una mirada desde la teoría fundamentada constructivista
Authors: Amaranti Pesce Maura
Published: December 2024

Este artículo explora la relación entre la evaluación docente y las prácticas pedagógicas en las universidades chilenas, centrándose en cómo los docentes y estudiantes perciben y utilizan los resultados de la evaluación para la mejora continua de la enseñanza. A través de un enfoque cualitativo, basado en la teoría fundamentada, se identificaron factores personales y contextuales que influyen en la adopción de la evaluación como un proceso formativo. Los hallazgos revelan una tensión persistente entre los usos formativos y sumativos de la evaluación, lo que genera resistencia entre los docentes cuando los resultados se perciben como punitivos o administrativos. Sin embargo, los docentes que reciben una retroalimentación efectiva y cuentan con espacios de reflexión crítica sobre su práctica tienden a utilizar los resultados de manera constructiva para mejorar sus prácticas. Se propone la creación de una cultura de evaluación colaborativa que permita a los actores involucrados apropiarse del proceso evaluativo como un medio de retroalimentación continua. Finalmente, se sugiere un futuro análisis situacional para explorar las dinámicas sociales e institucionales que afectan la implementación de estos sistemas de evaluación.
Arte y ciencia de los alimentos
Authors: Bustamante Díez Lourdes
Published: December 2024

Este libro es el resultado de la colaboración entre un grupo de personas mayores y un grupo de estudiantes del Grado en Ciencia y Tecnología de los Alimentos, dentro del programa Aprendizaje-Servicio "Educación en alimentación en el adulto mayor" de la Universidad de Burgos.
No pretende ser un recetario de comidas saludables, sino una recopilación de recetas que han querido compartir los adultos mayores y los estudiantes, contribuyendo así a evitar la pérdida de platos y técnicas tradicionales y a la transmisión de conocimiento. Este intercambio intergeneracional es enriquecedor tanto a nivel cultural como emocional.
Para complementar este recetario se han añadido pinturas realizadas por adultos mayores, así como fotos tomadas por los alumnos durante la elaboración, demostrando que se come con los ojos.
Clinical Application of Micro-Movement of Head by Vibraimage for Psychological Traits Study
Authors: Uto Yoshihiro , Morizaki Motohiko , Bando Hiroshi , Kasai Yasumasa , Bando Masahiro
Published: December 2024

The authors have conducted various research studies in medical care, anti-aging, psychosomatic medicine, health, and sports. The VibraImage project has recently begun. Using a 70-second video of the subject’s eye, face, and head, the micro-movement and vibration parameters of frequency and amplitude are determined. The vestibulo-ocular reflex (VOR) is involved in the mechanism. These data can suggest mental attractiveness or charm. The obtained results include 10 items: aggression, stress, tension, suspicion, stability, leadership, vitality, self-control, inhibition, and nervousness. The most attractive person is referred to as a “charismatic” person, and the project is therefore named the “charisma judge evaluation.
EFFISIENSI PEMAKAIAN DAYA TEGANGAN 220 VOLT PENYULANG RANGGUK GARDU INDUK MUARA TEBO
Authors: Rizal Choirul , Andalas Zola Wahyu
Published: December 2024

Effisiensi diperoleh mulai dari Pemilihan luas penampang penghantar yang dipakai untuk menyalurkan energi listrik adalah suatu rancangan penting dalam perencanaan jaringan sisem tenaga listrik.Agar saluran mempunyai keefektifan dalam penyalurannya maka nilai effisiensinya harus baik dengan jalan menekan rugi tegangan dan rugi daya, maka itu sistem jaringan 220 Volt harus dijaga  kestabilannya dengan jalan penentuan parameter parameter jaringan yang digunakan Berdasarkan hal tersebut maka penulis mencoba mengevaluasi effisiensi saluran kabel tegangan 220 Volt pada penyulang Rangguk  Gardu Induk Muara Tebo, dari analisa didapatkan nilai kerugian daya 19,2609 VA dan effisiansi sebesar 99,2 %.
ANALISA PERBANDINGAN DAYA GENERATOR TURBIN ANGIN 6 DAN 12 SUDU DARI PENGUKURAN DAN SIMULASI MATLAB SIMULINK DI LABORATORIUM TEKNIK LISTRIK POLITEKNIK NEGERI SRIWIJAYA
Authors: Mutiar Mutiar , Sunarhati Marliyus
Published: December 2024

Daya generator yang di hasilkan dari turbin angin dipengaruhi daya turbin angin dan daya turbin angin dipengaruhi oleh kecepatan angin dan jumlah sudu. Dari hasil penelitian didapaat bahwa semakin besar kecepatan angin yang diberikan maka putaran turbin akan semakin tinggi sehingga daya listrik yang dihasilkan oleh generator juga akan semakin besar. Untuk turbin dengan jumlah sudu 6 dan 12 daya yang dihasilkan dari pengukuran  1,10 Watt dan 1,50 Watt,  1,89 Watt dan 2,89 Watt  dihasilkan dari simulasi untuk kecepatan angin 7,0 m/ s.
EVALUASI PEMUTUS TENAGA DI GARDU INDUK GUMAWANG	(STUDI KASUS PENYULANG CABE)
Authors: Subianto Subianto , Yani Raden Ahmad , Juarsyah Bayu
Published: December 2024

Banyak faktor-faktor yang dapat menyebabkan pemadaman listrik, salah satunya adalah gangguan pada saluran-saluran penyulang yang ada pada Gardu Induk di suatu daerah. Adapun gangguan-gangguan tersebut adalah gangguan eksternal dan gangguan internal. Gangguan eksternal berupa sambaran petir, atau karena adanya angin kencang, dan lain sebagainya. Sedangkan untuk gangguan internal adalah berupa adanya gangguan hubung singkat pada penyulang di gardu induk setempat. Penelitian yang dilakukan mempunyai tujuan yaitu dapat menentukan besar arus hubung singkat tiga phasa serta mengevaluasi sistem kapasitas pemutus tenaga yang terpasang pada Penyulang Cabe (out going) setelah transformator daya (incomming) pada Gardu Induk Gumawang. Ada beberapa metode yang dipakai guna memperoleh hasil yang mendekati akurasi  adalah sebagai berikut Metode Studi Pustaka, Metode Deskriptif, dan Metode Wawancara. Dengan melakukan evaluasi terhadap gangguan di Gardu Induk Gumawang, khususnya pada penyulang cabe, maka di harapkan pemadaman listrik yang sering terjadi oleh masyarakat pedesaan di Belitang, akan dapat diatasi penyebabnya. Dari hasil perhitungan arus hubung singkat pada penyulang Cabe yaitu sebesar : 0,4236 kA dan daya hubung singkat pada penyulang Cabe yaitu sebesar : 14,674 MVA. Kapasitas pemutus tenaga yang terpasang pada sisi 20 kV pada Penyulang Cabe masih sesuai dengan ratingnya yaitu 866,025 MVA dan rating arus maksimum pemutus tenaga yaitu 25 kA, ini artinya Pemutus Tenaga yang terpasang masih mampu untuk melindungi sistem dari arus gangguan.
ANALISIS PENGARUH PERUBAHAN RO DAN Ri PADA TURBIN ULIR ARCHIMEDES SARWAN
Authors: Saleh Zulkiffli , Oktaviani Wiwin A , Pratama Muhammad Yoga
Published: December 2024

Fokus penelitian ini diarahkan pada analisis pengaruh perubahan diameter dalam rotor (Ri) dan diameter luar rotor (Ro) terhadap daya yang dihasilkan sistem PLTMH untuk menentukan kondisi optimal kerja sistem. Salah satu parameter signifikan pada PLTMH berbasis turbin ulir Archimedes adalah besaran Ro dan Ri, perubahan  nilai tersebut akan berpengaruh pada daya keluaran sistem. Dari hasil pengukuran dan perhitungan data yang dilakukan pada PLTMH Sarwan didapatkan kecepatan aliran air maksimum sebesar 7,7112 m/dt dan kecepatan aliran air minimum sebesar 2,7463 m/dt, dan Ri optimal sebesar 0,56 m dengan daya terbangkitkan sebesar 4,098 kW
ANALISA MOTOR INDUKSI TIGA PHASA PADA PENGGERAK BELT CONVEYOUR 22 BANKO BARAT PT. BUKIT ASAM, TBK
Authors: Yansuri Daeny Septi , Subianto Subianto , Rizal Choirul , Suherman Edy , Ramadhon Efri
Published: December 2024

Bukit Asam. Tbk bergerak di bidang eksploirasi batubara, dalam penyaluran batubara tersebut, perusahaan ini menggunakan Belt Conveyour di setiap unit penyaluran nya. Belt Conveyour tersebut digerakkan dengan menggunakan motor-motor induksi tiga phasa. dimana motor yang digunakan memakai penggerak mulanya adalah motor induksi. Adapun motor induksi tiga phasa yang dipakai untuk menggerakkan Belt Conveyour 22 di area Banko Barat PT. Bukit Asam, Tbk adalah motor induksi tiga phasa 110 kW. Pada operasi motor induksi, ada kalanya motor tersebut mengalami gangguan yang disebabkan oleh panas lebih, arus lebih, dan beban lebih. Sehingga jika dibiarkan dapat mengakibat kan kerusakan yang fatal pada motor tersebut. Untuk mempelajari sistem proteksi dan menentukan setelan rele yang baik untuk motor induksi tiga fasa 110 kW di PT. Bukit Asam, Tbk yang digunakan sebagai penggerak Belt Conveyour 22 di area penambangan Banko Barat. Metode penelitian yang dilakukan melalui metode literature,dengan cara mengumpulkan sumber-sumber berupa referensi pada buku-buku yang berkaitan dengan masalah yang diangkat dalam penelitian ini, metode wawancara, mengumpulkan data yang dilakukan dengan tanya jawab langsung, dengan cara mengajukan pertanyaan secara lisan mengenai objek yang akan dibahas, terakhir dengan metode observasi, pengumpulan data yang dilakukan dengan melakukan kunjungan pada perusahaan, yaitu Banko Barat PT. Bukit Asam, Tbk sehingga dapat mengetahui situasi dan kondisi yang sebenarnya. Setelah dilakukan analisa dan perhitungan terhadap hasil penelitian tersebut, maka diperoleh hasil nya, yaitu Besarnya arus gangguan pada motor penggerak Belt Conveyour 22 di Banko Barat PT. Bukit Asam, Tbk adalah sebesar 457,895 Ampere. Setting rele yang dilakukan pada motor penggerak Belt Conveyor 22 di Banko Barat PT. Bukit Asam, Tbk adalah untuk sekring sebesar 413,138 Ampere, Saklar Penghubung sebesar 215,959 Ampere, Kontak Magnet sebesar 244,127 Ampere. Sedangkan Rele Arus Lebih nya adalah sebesar 234,738 Ampere.
RANCANG BANGUN ALAT PEMBERI PAKAN IKAN LELE SECARA OTOMATIS BERBASIS MODUL TIMER DH48S-S
Authors: Mansur Syaiful , Aryanto Iqbal May , Tiarto Eko Hari
Published: December 2024

Ikan lele merupakan salah satu komoditas perikanan air tawar yang banyak diminati di Indonesia. Faktor yang penting dalam pemelihara ikan lele adalah ketepatan waktu dalam pemberian makan ikan. Kebanyakan dari mereka yang memelihara ikan lele khawatir pemberian makan yang harus dilakukan tiap hari.  Maka tujuan penelitian ini adalah penerapan ilmu pengetahuan dan teknologi pada budidaya ikan lele, efisiensi waktu pemberikan pakan ikan, dan membuat alat pakan ikan otomatis berbasis modul timer. Berdasarkan hal tersebut pada penelitian ini dirancang dan dibuat alat pemberian pakan ikan lele otomatis berbasis modul timer dh48s-s. Maka dirancanglah alat yang mempermudah memberi makan ikan yaitu secara otomatis sesuai dengan jadwal yang telah ditentukan. Adapun komponen pendukung penjadwalan pakan ikan diantaranya modul timer dh48s-s sebagai otak dari alat ini yang nantinya akan memerintahkan motor synchronous tyd-49r untuk memutar tempat pakan ikan