bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing The Channel Design Of The Eco-Friendly 'Falaj' Water System In Meeting The Optimal Water Demand: A Case Study Of Falaj Al-Khatmain, Sultanate Of Oman
Authors: Omer Al-Kaabi  , Ahmed Nasr  , Abdullah Al-Ghafri  , Mohammed Abdel-Fattah
Published: December 2024

The Falaj system, derived from natural water sources, is a man-made canal system designed to supply communities of farmers with water for domestic and agricultural purposes. For thousands of years, Falaj has served communities by harnessing the force of gravity, it persists as a vital water management system in numerous regions across the Sultanate of Oman. Remarkably, predates the establishment of many fundamental hydraulic principles used today. Al-Khatmain Falaj, with its accessibility and historical significance spanning over 2000 years, was chosen as the focal point of this study. The research aimed to investigate the efficiency of Al-Khatmain Falaj in meeting specific water demands. HEC-RAS model was utilized to visualize water flow dynamics within the Falaj channels, accompanied by graphical representations of pertinent variables. The application of HEC-RAS helped to measure different water flow scenarios within the channel, enabling a clear comparison with the demand area. The cultivated land of Al-Khatmain is 723,124 m2 and consists of 16,873 palm trees representing 91% of the total area and the remaining 9% is mixed types of trees counted 3,920 trees. The study revealed a total daily demand of 3532.85 m3 is required to irrigate the cultivated land. Through rigorous analysis, the study has proven that the Falaj system in Al-Khatmain operates with high efficiency as the average annual water supply is 9676.8 m3/day. Additionally, the channel designed at 0.6m width x 0.3m height, efficiently holds the optimal water supply, with an average flow depth of 0.21m. Also, the system includes an overflow drainage channel to mitigate floods and prevent crop damage based on the seasonal requirements. This research holds promise for examining diverse hydrological conditions and devising effective strategies to manage scenarios of both high and low flow rates in Falaj Systems.
A Study of Classification Model in Medical Health Applications
Authors: Raja Intan Sariah Raja Mahmood  , Mokhairi Makhtar  , Hafizan Juahir  , Nadiana Ariffin  , Aceng Sambas  , Rosaida Rosly  , Yousef A. Baker El-Ebiary
Published: December 2024

Medical health sector is one the largest industry worldwide. Nowadays, the emergence of coronavirus (COVID-19) presents an important alert to the healthcare sector. This threatening virus is a concern because this virus is spreading fast and has caused many deaths. The goal of this study is to analyze the classification algorithms that have been utilized for various diseases in past research. This will be considered and explored further for future analysis of COVID-19 that could help researchers manage COVID-19 infections using the discussed data mining techniques. In this study, there are 60 studies have been included from a variety of sources such as iGATE’s, Elsevier, ResearchGate, Springer, BMC Public Health Journal, J. Health Engineering, International journal computing Technology and other etc. With data mining classification algorithms, the researcher can easily do the classification, prediction, clustering and data filtering from various data sources, especially in the healthcare system. The classification algorithms such as Naïve Bayes, support vector machine (SVM), multilayer perceptron (MLP), J48, K-nearest neighbor (KNN), decision tree, random forest and logistic regression were listed as the most applied algorithms in the past research. The naïve bayes, support vector machine (SVM), random forest, multilayer perceptron (MLP) and J48 algorithms were identified as the top five most utilized algorithms. Therefore, this study indicates that these classification algorithms are suitable for identifying, classifying and predicting COVID-19. In conclusion, this review paper will guide the researcher for future research and other research community as well on the upcoming development of machine learning for the medical health sector, especially COVID-19.
Optimizing Steel Plate Defect Classification: Leveraging Deep Learning For Improved Accuracy And Operational Efficiency By Using Hybrid Attention-Enhanced Convolutional Network (HAE-CNN)
Authors: Mrs. Sridevi Tharanidharan  , Dr. Nahla Al-Nour Muhammad Al-Makki
Published: December 2024

The classification of defects in steel plates is crucial for ensuring quality and efficiency in industrial manufacturing processes. Traditional classification methods face significant challenges, including data imbalance, high computational requirements, and the diversity of defect types, complicating real-time detection. This paper introduces a novel approach called the Hybrid Attention-Enhanced Convolutional Network (HAE-CNN) to tackle these issues and improve classification accuracy. The HAE-CNN leverages the capabilities of Convolutional Neural Networks (CNNs) along with an adaptive attention mechanism that allows the model to focus dynamically on key areas within defect images. It employs multi-scale feature extraction using DenseNet to effectively capture both local and global features of steel plate surfaces. To enhance generalization and reduce training duration, transfer learning is utilized through the fine-tuning of pre-trained models, while data augmentation techniques, including Generative Adversarial Networks (GANs), help mitigate data imbalance. Additionally, the model is optimized for real-time applications by implementing methods such as pruning and quantization, ensuring efficient functionality in environments with limited resources. Experimental evaluations reveal that HAE-CNN surpasses existing models such as CNN, ResNet, and DenseNet across various metrics, including precision, recall, F1-score, and accuracy, establishing it as a highly effective solution for defect classification in industrial contexts.
Feature Selection Using A Hybrid Approach: Harmony Search with Recurrent Neural Networks and Filter Methods on the Mimic-III Dataset
Authors: Preethi K  , Dr.Ramakrishnan M
Published: December 2024

Building reliable and effective prediction models requires careful feature selection, especially when working with complicated medical datasets. Applied to the Medical Information Mart for Intensive Care III (MIMIC-III) dataset, this study presents a novel hybrid method for feature selection that incorporates Harmony Search (HS), Recurrent Neural Networks (RNNs), and conventional Filter Methods. A wide range of clinical records, including vital signs, prescriptions, test results, and diagnostic codes, are included in the dataset. With the help of filter techniques, we guide the first feature ranking in our proposed method (HS-RNN-FM), which combines the deep learning characteristics of RNNs with the global optimization capabilities of Harmony Search. According to experimental data, HS-RNN-FM performs better in terms of precision, recall, accuracy, F1-score, and AUC-ROC than conventional techniques like Genetic Algorithm with Mutual Information (GA-MI) and Particle Swarm Optimization with Chi-Square Test (PSO-Chi2). Due to its exceptional performance, HS-RNN-FM has the potential to improve predictive modeling in healthcare applications by handling huge and complicated datasets in an efficient manner.
Design Of A Phase-Locked Loop Using Current Starved Voltage Controlled Ring Oscillator In 45nm Technology
Authors: V.V.Nandini  , Sravan K. Vittapu  , Ravi Chand Sankuru  , S.Sai Aashrith  , M.Maniteja  , T.Krishna Prasad Reddy
Published: December 2024

This paper discovers a PLL core design that can achieve wide range of frequency. As we know that the main block of PLL is voltage control oscillator (VCO). For achievement of high oscillation frequency, good stability, a ring oscillator that uses current starving technique has been designed. Based on the circuit the PLL is designed using Cadence tool in 45 nm technology.
Comparative Study Of The Phytoremediation Capacity Of Hydrilla Verticillata In Heavy Metal Contaminated Water
Authors: Jeba Nisha.J  , Dr. Amaliya.N.K
Published: December 2024

Hydrilla verticillata is used to remove heavy metals (Pb, Cr, Cd, Ni and As) in polluted water, and accumulation of it in the roots and shoots were examined. H.verticillata were cultured and harvested after 60 days. The aim of this study is to analyse removal efficiency (%) of heavy metals in water, and evaluating the uptake by H.verticillata, bioconcentration factor (BCF) and translocation factor (TF). The highest removal efficiency for H.verticillata was 64.5% for Cd. This plant showed heavy metal concentrations higher in the roots than shoots that suggesting the metals were bound in the root and partially transported to the shoot.
Nanorobotics: Revolutionizing Cancer Treatment And Early Diagnosis With Precision Technology
Authors: Noora Nariman Ibrahim
Published: December 2024

Background: The techniques utilized so far depend mostly on chemical treatments like chemotherapy, though very effective, leave important side effects and a limited degree of precision. New developments in nanorobotics are bringing much more hope for the most accurate, minimally invasive treatment of cancer. Objectives: The primary purpose of this study is to find out the potential of nanorobotics in changing the method of treatment and diagnosis at an early stage for cancer patients. More specifically, a research seeks to determine whether nanorobots can enhance the degrees of tumor targeting, side effects, survival rates, and even a personalized form of chemotherapy.Methodology: The study uses a mixed-methods approach: a systematic review of existing literature combined with simulation-based analysis. A systematic review combines findings from various studies about the use of nanotechnology in cancer careThis data is tested using statistical software such as descriptive analysis and t-tests.Results: The simulation study revealed that nanorobots decreased the mean size of tumors by 65.2% compared to chemotherapy, which led to a mean decrease of 40.5% in tumor size. The nanorobotics was said also to be effective for drug delivery with high accuracy percentages to the extent of 92.7% compared to 58.3% and with faster detection of a tumor than chemotherapy at 6.1 weeks against 12.3 weeks while the side effects that occurred were significantly lower since the severity score was 2.1 against 6.7 in chemotherapy. The survival rate of patients who were on nanorobot treatment within 12 months was 78% while that of the patients given chemotherapy was 54%.Conclusion: Precise targeting with minimal side effects, it is more effective and increases survival rates. Thus, nanorobotics will play a vital role in personalized cancer treatment and even be the bedrock for it; more patient-friendly alternatives to already existing therapies.Specific Contribution: The current study provides a comprehensive review of the potential of nanorobotics in oncology. It demonstrates new insights into practical benefits through integration of a systematic review and simulation data, thus opening up lines of future research and prospective clinical trials to validate such findings and implement nanorobotics as routine treatment methods for cancer.
Privacy And Security Issues In Iot Systems
Authors: Himanshu Bhamare  , Dr.Amarsinh Vidhate  , Dr. Puja Padiya
Published: December 2024

The Internet of Things (IoT) is revolutionizing industries and everyday life by connecting a widerange of devices through the Internet. While IoT enhances convenience and efficiency, itsimultaneously presents significant challenges regarding privacy and security. This paper exploresIoT systems' primary privacy and security concerns, including data collection, unauthorized access,and cyber threats. It delves into existing solutions such as blockchain, fog computing, and machinelearning, which aim to mitigate these challenges. Furthermore, a comparative analysis of differentIoT security strategies is presented, emphasizing the need for robust encryption, authentication, andprivacy-by-design principles. Ultimately, the paper calls for a collaborative effort amongresearchers, policymakers, and industry players to secure IoT systems and protect user dataeffectively.
Development of Novel Catalysts for Sustainable Organic Synthesis
Authors: Dr. Darshan Marjadi  , Dr.M.Sulochana  , Dr. Prashant Rambhau Mahalle  , Dr. R. Kanimozhi  , Dr. Prabhavathi N  , Shaheda Niloufer
Published: December 2024

The pursuit of sustainable organic synthesis has intensified in response to environmental concerns and the urgent need to reduce the ecological footprint of chemical processes. This study explores the development and application of novel catalysts that align with green chemistry principles, focusing on enhancing efficiency, selectivity, and reusability in various organic transformations. The catalysts designed for this work incorporate earth-abundant, non-toxic metals and bio-inspired frameworks, chosen for their ability to promote high catalytic activity under mild conditions. Through the synthesis of transition-metal complexes, organocatalysts, and hybrid materials, we investigate their performance in key reactions, including C–H activation, cross-coupling, and asymmetric synthesis.Extensive characterization, employing techniques such as nuclear magnetic resonance (NMR) spectroscopy, X-ray diffraction (XRD), and electron microscopy, has been conducted to elucidate catalyst structures and mechanistic pathways. Additionally, kinetic studies and density functional theory (DFT) calculations provide insights into reaction intermediates and transition states, supporting the design of more effective catalysts. Catalyst recyclability was evaluated through multiple reaction cycles, assessing stability and activity retention, which are critical for their practical application.The findings demonstrate that these novel catalytic systems exhibit high selectivity and conversion rates while reducing reliance on hazardous reagents, harsh conditions, and energy-intensive processes. By facilitating transformations under ambient or near-ambient conditions, these catalysts contribute to lowering greenhouse gas emissions and resource consumption. The implications of this research extend to industrial-scale applications, where scalable and sustainable catalysis can play a transformative role in reducing the chemical industry's environmental impact. This study underscores the potential of innovative catalytic strategies in advancing sustainable organic synthesis and sets the stage for future developments in eco-friendly synthetic methodologies.
More on Maps and its Application in Pythagorean Fuzzy Topological Spaces
Authors: B. Vijayalakshmi  , M. Ramalakshmi  , A. Vadivel  , G. Saravanakumar
Published: December 2024

In this paper, we introduce and investigate Pythagorean fuzzy M-continuous maps in Pythagorean fuzzy topological spaces and also discuss about some properties and characterization of Pythagorean fuzzy M-irresolute maps. Also one real life applications, we applied entropy measure for decision making problem of calculation of incentive based on the performance of salesman during the seasons.
A Comparative Analysis on PLA Based Aluminium Foils for Food Package
Authors: M. Johnson  , Dr. M. Ashok Kumar  , Dr. K. Hemachandra Reddy
Published: December 2024

Nano aluminium based PLA composites for foil preparations is one of the better choices for food packaging on basis of biodegradability after usage. Present scenarios focused on the biodegradability of packing base due to micronize pollution effect in the environment. Present research focuses on structural thermal degradable properties of PLA base aluminum foils with experimentation and computational simulation using Ansys. The work carried out using Al2O3 nano, aluminium, natural biodegradable with PLA, after the experimentation best results got for 60 µm thickness of foil in all the experiments. The further work carried out by doing computational structural analysis to compare foil strength at different temperature conditions for further validation of results thermal stability of the foil compared both experimentally and with Ansys work bench. Present work concludes a novel phenomenon in foil preparation to increase biodegradability up to 10 percentage when compared with regular aluminum foils.
Quantitative Analysis of Particulate Matter in Diesel Using a Microfiltration System and a Laser Particle Counter
Authors: Gonzalo X. Vizuete  , Cristian F. Gallardo  , Gabriela Vizuete
Published: December 2024

Diesel is one of the most widely used fuels in Ecuador due to its availability and relatively low cost. However, its extensive use poses significant challenges related to pollution and engine efficiency. This study addresses diesel microfiltration as a technique to improve fuel quality by reducing the amount of contaminant particles present. The results were evaluated using cleanliness codes according to ISO 4406, which provide a standard framework for assessing diesel quality before and after the microfiltration process. It is demonstrated that microfiltration can significantly improve diesel quality according to the parameters established in the Worldwide Fuel Charter (WWFC), meeting the cleanliness requirements specified by ISO 4406, thereby having a positive impact on diesel engine efficiency and lifespan.
A Study On Content Based Automated Parsing Machine Learning Algorithm For Document Similarity
Authors: M. Karthica  , Dr.K. Meenakshi Sundaram  , Dr. J. Vandarkuzhali
Published: December 2024

Natural language as a tool that utilizes to express specific properties that helps to reduce the efficacy of textual information retrieval systems. These are linguistic as well as ambiguity variation. The linguistic variation of textual information besides the possibility of utilizing different words expressions helps to communicate the same idea. The online document has brought to their content as well as to visualize a text collection for providing an overview of the range of documents besides their relationships. In this paper enhanced an Advanced Naïve Bayes Method for content based machine learning content based system. The proposed works discussed effectively with existing methods helps to find out the word document similarity checking appropriately.Content based system is a tool helping operators to find content as well as overcome the information overload. It helps to predicts interests of utilizers as well as makes recommendation according to the interest model of utilizers.In this paper a novel method utilized to analyze the document similarity identification as Automated Parsing Vector Space Method for Natural Language Processing method for content based machine learning in content based recommender system. The research of acquisition as well as filtering of text information are mature, numerous current content based recommender system to make document recommendation according to the analysis of text information.This paper focuses on automated system for reviewing construction specifications of industrial applicability by analysing the varied semantic properties using NLP.
Enhanced Home Energy Forecasting With Parallel LSTM Networks
Authors: Amit Kumar Upadhyay  , Dr. Manoj Varshney  , Dr. Pankaj Varshney
Published: December 2024

The primary obstacles in addressing the energy consumption forecasting challenge revolve around ensuring reliability, stability, efficiency, and accuracy in forecasting methodologies. The current forecasting models face difficulties due to the unpredictable nature of energy consumption data volatility. There is a need for artificial intelligence models that can anticipate abrupt irregular changes and effectively capture long-term dependencies within the data. Within this study, a pioneering AI-boosted forecasting model is presented, combining Extreme Gradient Boosting (XGBoost) with parallel long short-term memory (PLSTM) neural networks. The integration of XGBoost with PLSTM neural networks contributes to the improved performance of the overall PLSTM network. The access the suggested model using the Mean Absolute Percentage Error (MAPE).
Reimagining Scheherazade: Feminist and Postcolonial Discourses in Githa Hariharan’s When Dreams Travel
Authors: Samidha  , Vijay Kumar
Published: December 2024

The depiction of women in traditional literary texts has consistently been a ‘colonized’ one. Patriarchal texts often assert universal male hegemony and dominance, neglecting cultural, social, and regional variances in experience and perspective. These texts tend to evaluate and present literature through a singular male ‘universal’ lens. Postcolonial critics have challenged this universalistic approach, advocating for the reclamation of the roles of marginalized people, especially women, who have been relegated to secondary, marginalized positions. Githa Hariharan, a prominent Indian post-colonial woman writer, has made significant efforts to ‘rewrite’ the neglected and often overlooked histories of women, emphasizing their roles in contrast to their traditionally depicted insignificance. In her novel When Dreams Travel, a reinterpretation of the renowned Arabian Nights, Hariharan sheds light on the obscure and forgotten aspects of the original story, offering a new perspective. She responds to the patriarchal original text, highlighting the ‘conditioning of marginality’ and ‘Othering,’ and challenges male dominance. Her novel reimagines the character of Scheherazade, transforming her from a male-controlled figure into a symbol of female strength and defiance. Hariharan’s narrative remains connected to the original Arabian Nights, with notable echoes and deviations. She distils elements of the legend to create her own novel, which continuously seeks the truth about the creation of a story, fundamentally ‘Her Story.’
Artificial Intelligence and Business Strategy Towards Digital Transformation: A Research Agenda
Authors: Abhishek Sharma  , Ankitha Sharma  , Anurag Agarwal  , Shagufta Parween  , Anurag Shrivastava  , Vandita Hajra
Published: December 2024

In the last 10 years, corporations and contemporary literature have focused on machine learning and other advancements in artificial intelligence (AI) technologies. Even while artificial intelligence technology shows a great deal of promise in terms of resolving problems, there are still obstacles associated with its practical use, and there is a lack of knowledge on how it may be strategically utilized to improve businesses. This study will do a comprehensive literature review analysis of the convergence of AI and business strategy. This will be done so that the model can be built. The fundamentals of research technique were discussed in 81 papers that were subjected to peer review. Theoretical framework is developed, addressing the various sources of value creation: “AI and Machine Learning in Organizations, Alignment of AI, Information Technology (IT) with Organizational Strategy, Decision-Making Process”. This framework also addresses gaps in future research. These findings give rise to managerial and theoretical points of view, opening up a wide range of potential new management techniques. Despite several literature assessments, there hasn't been much work that has objectively analyzed the literature with a focus exclusively on the phrase "digital transformation" since other words might provide a skewed interpretation. This essay seeks to unbiasedly examine the topic of business and management study known as digital transformation. The findings show that this study area is still in its infancy and has just begun to expand fast. Among all of them, the Internet of Things and its digital doppelganger seem to be a recurring topic.
THE COMPARATIVE MORPHOMETRIC FEATURES OF LIBYAN JIRD (Meriones lybicus Lichtenschtein, 1823) POPULATIONS IN AZERBAIJAN
Authors:   Institute of Zoology, Ministry of Science and Education, Baku, Azerbaijan, Hakhiyev Agil
Published: December 2024

In the article, in Libyan Jird (Meriones libycus Lichtenstein, 1842) populations (Jeyranchol and Aghdara), the results obtained belonging the dimensions of the external body and skull were investigated in a comparative manner. The materials used were collected in different years and different seasons. It was determined from the investigations conducted that there is no statistically reliable or true difference between the populations according to the body mass, body length, paw length and tail length of these animals. There is a real difference in the male individuals of the populations only due to the height of the ear from the exterior signs. There are reliable differences between the populations in signs as the total length of the skull, the width of the brain capsule, the length of the diastema and the length of the brain part from the cranial dimensions. There are no real differences between the condylobasal length of the skull, the length of the palate, the length of the upper tooth level, the length of the lower tooth level, the width of the cheekbone, the width of the skull, the length of the tympanic bone and the width of the tympanic bone.
El daño social: diagnóstico del trabajo social forense en la ley de garantía de libertades sexuales
Authors: Simón Gil Marta
Published: December 2024

Este artículo proporciona una visión integral del trabajo social forense en el contexto de la violencia de género. Comienza explorando la especialización del trabajo social forense y su reconocimiento legal en España. Posteriormente, se presenta el modelo científico que ha permitido identificar el daño social en casos de violencia de género, destacando la importancia de la intervención pericial. Más adelante se abordan diversas tipologías significativas de violencia de género que causan daño social, incluyendo la violencia social y económica, para continuar enfocándose en la violencia sexual contra las mujeres, con el objetivo de contextualizarla en las normativas y tipologías comunes en la evaluación forense.
Un presidente de Sala y sus naufragios entre el Escila de lo gubernativo y el Caribdis de lo jurisdiccional
Authors: Ordóñez Solís David
Published: December 2024

Las vicisitudes a las que se enfrenta un presidente de la sala de lo contencioso-administrativo de un tribunal superior de justicia son numerosas y podría entenderse que también afectan, mutatis mutandis, a los de la Audiencia Nacional y del Tribunal Supremo en su labor diaria. Estas tareas son de muy distinto cariz según se trate del ejercicio de funciones en lo gubernativo o en lo jurisdiccional. Aun cuando se pueda distinguir entre lo gubernativo y lo jurisdiccional, en numerosos supuestos el solapamiento de ambas funciones puede crear verdaderos problemas interpretativos porque en uno y otro caso el proceso de decisiones, su control y su valor son bien distintos. Los presidentes de las salas de lo contencioso-administrativo tienen esa doble dimensión que encauza su navegación, especialmente compleja y muy habitualmente antipática, en relación, por una parte, con sus colegas que en paridad ejercen labores estrictamente jurisdiccionales y, por otra parte, con otros órganos gubernativos, en particular las salas de Gobierno, y en cuyo vértice actúa la Comisión Permanente y el Pleno del Consejo General del Poder Judicial. Este es un intento de apuntar y describir dónde se localizan las fricciones y cuál es la actual solución legislativa o consuetudinaria de acuerdo con la interpretación del Tribunal Supremo. Asimismo, se articulan algunas propuestas legislativas o recomendaciones de buenas prácticas para que, cual modernos Ulises de la justicia, podamos llegar a Ítaca.
Longitudinal Analysis of GDP Growth and Islamic Finance Dynamic
Authors: sirat Abdul Hadi , Daud Nahu , . Rusandry , Salleh Maisyarah Stapah @ , Possumah Bayu Taufiq
Published: December 2024

This research undertakes a longitudinal examination of the interplay between Gross Domestic Product (GDP) growth and the evolution of Islamic finance, with an emphasis on the total assets held by Islamic banking institutions. Utilizing time-series data from the years 2010 to 2023, this study applies a range of econometric methodologies, including Vector Autoregression (VAR) models, Granger causality assessments, and Seasonal-Trend Decomposition using LOESS (STL). The findings indicate that Islamic banking assets exert a significant short-term influence on GDP growth, with the VAR model elucidating essential dynamic interrelationships and Granger causality tests confirming predictive capacities at certain lags. Furthermore, the seasonal decomposition provides clarity on both long-term trends and short-term variations within the dataset. The results imply that while the total assets of Islamic banking have a marked short-term effect on GDP, other economic indicators such as export values, Islamic financing, and the Human Development Index exhibit minimal immediate influence. This study offers critical insights for policymakers and financial institutions, underscoring the necessity of incorporating Islamic finance metrics into economic planning and highlighting the imperative for further investigation into long-term effects and sector-specific ramifications.
Path Planning and Motion Control: Current Methods, Challenges, and Future Perspectives
Authors: Başara Emre
Published: December 2024

Path planning and motion control are two important engineering and technology disciplines that support the success of autonomous systems. Path planning calculates the best path for a vehicle or robot to take from its starting point to its goal, while motion control ensures that it is followed exactly. These methods have a wide range of applications, from autonomous vehicles to industrial robots, from drone technologies to spacecraft. In recent years, developments in artificial intelligence, machine learning, and sensor technologies have revolutionized these areas. In addition, real-time data processing accelerates decision-making processes and offers the opportunity for use in more complex environments. Path planning methods are handled with various algorithms depending on the structure of the environment and the requirements. Artificial intelligence-based methods come into play in solving more complex problems. Path planning and motion control play a critical role in the success of autonomous systems. Developing technologies enable these fields to provide solutions to more complex and dynamic problems. In the future, it is expected that smarter and safer systems will be developed through the integrated work of these two disciplines. This review article aims to address the development process of the subject in the literature, application areas, challenges encountered, and future trends.
Gestational Diabetes Mellitus Prevalence and Risk Factors - A Study from a Tertiary Care Centre in North India
Authors: Gupta Akanksha
Published: December 2024

Introduction: Type 2 diabetes mellitus (T2DM) and gestational diabetes mellitus (GDM) pose significant global health challenges. The increasing global prevalence of GDM and its associated complications underscores the need for proactive screening and management. The study aimed to evaluate the prevalence of GDM and its associated risk factors in a tertiary care hospital in North India

Methodology: A prospective cross-sectional study conducted at Max Super Speciality Hospital, New Delhi, during 2016-2017, enrolled 900 pregnant women (aged 18-50 years) from the antenatal outpatient department (OPD). Primary objective: To assess impaired oral glucose tolerance prevalence (IADPSG criteria) at 24th-28th weeks. The data covered demographic, socioeconomic, obstetric, and medical details. Descriptive statistics were used to summarize the variables. Chi-square or Fisher's tests were applied to categorical data, while continuous data were analysed using independent t-tests. Multiple regression analysis was conducted to identify risk factors.

Results: GDM was diagnosed in 7.4% of participants. Prevalence was highest in the age group >35 years (36.2%, p=0.000), and a significant association was found between increasing body mass index (BMI) and GDM (p=0.04). Adverse obstetric history, including previous abortions and GDM in prior pregnancies, increased the risk of GDM. Complications during pregnancy, such as macrosomia (present in 1 patient with GDM and none in non-GDM), foetal distress (9.09% in GDM), and preeclampsia (4.7% in GDM), were higher in women with GDM. Vaginal delivery prevalence was higher in non-GDM, while GDM had a higher rate of caesarean section delivery (p<0.005).

Conclusion: The study discloses a 7.4% GDM prevalence in North Indian tertiary care, accentuating rising diabetes trends. Identified risk factors inform antenatal screening, highlighting the need for early GDM management to mitigate complications and prevent future diabetes. Single-centre limitations emphasise the necessity for broader population studies for accurate prevalence rates.
Halal Certification in Micro, Small and Medium Enterprises (MSMEs) of the Fish Processing Industry in Sambas Regency
Authors: Muslimah Muslimah , Kara Muslimin H. , Masse Rahman Ambo , Purnamasari Wulan
Published: December 2024

This research departs from the phenomenon that many MSME actors in the fish processing industry sector in Sambas Regency do not register for halal certification. This study aims to identify the obstacles and problems faced by MSMEs in the Fish Processing Industry Business in Sambas Regency in obtaining Halal Certificates. This type of research is classified as qualitative with the research approach applied is field research. Data collection techniques were pursued through interviews, observation, and documentation. The results of this study indicate that the obstacles and problems faced by business actors in obtaining Halal Certificates in the fish processing industry include limited resources, inability to afford the costs required to meet halal requirements, and limited knowledge and abilities in managing production processes that meet halal standards. In addition, other problems faced are the lack of knowledge and understanding of MSME actors regarding halal certification, the low awareness and obedience of MSME actors to register halal certification, the confidence of MSME actors in the halalness of their products, and limited human resources.
The Role of E-Learning and Digital Libraries in Providing Equal Educational Opportunities for Students with Physical Disabilities in Higher Education
Authors: Sahito Zahid Hussain , Kerio Ghulam Ali , Khoso Farzana Jabeen
Published: December 2024

Capitalizing on the use of e-learning platforms and digital libraries has emerged as one strategic way to bring students with physical disabilities caught up in present educational inequities. This study explores the role they play in improving accessibility, usability, and academic outcomes based on the Universal Design for Learning. The research also finds out there are things that do make a difference, namely closed captioning, screen readers, and remote access. Nevertheless, their effect is hindered by barriers such as poor accessibility features, absence of technical support, and socio-economic challenges. With a mixed method approach, this study gets the students', educators', and developers' pieces of the puzzle in evaluating the accessibility of these tools, uncovering challenges, and proposing improvements. However, results suggest that although much has been achieved, there is still a digital divide, and non-institutional policies have persisted. The strength of the study is that it emphasizes the importance of standardized accessibility features, a robust institutional framework, and global action to counter systemic barriers, which provide a blueprint for more inclusive education environments.
Pembekalan Mahasiswa di STAK PESAT Salatiga Bertajuk “Mengenali dan Mengelola Emosi”
Authors: Tambunan Debora Tiurlan
Published: December 2024

Adolescence, the period currently being experienced by college students, is the most important and dynamic period in the development of human emotions. Individuals who have emotional intelligence are individuals who can adapt in various situations and are able to establish good relationships with other humans. Realizing the importance of this, a student training entitled "Recognizing and Managing Emotions" at STAK PESAT Salatiga was held. Using a collaboration of lecture, discussion and practice methods, the training was held for two sessions with two focus topics in each session, namely recognizing emotions and managing emotions. The positive response given by each participant at the end of the training stated that this training had a positive impact on their emotional development.
ÉTICA E RESPONSABILIDADE NA ENGENHARIA DA INTELIGÊNCIA ARTIFICIAL: IMPACTOS E DESAFIOS
Authors: Coelho João Vitor Scaraficci , Silva André Luiz da , Florian Fabiana
Published: December 2024

Este trabalho aborda os desafios éticos na engenharia de inteligência artificial (IA), explorando questões de impacto social, viés algorítmico, transparência e responsabilidade. A pesquisa, baseada em uma análise crítica da literatura, destaca as complexidades éticas enfrentadas pelos engenheiros no desenvolvimento de sistemas de IA, que transformam diversos aspectos da sociedade. Considera-se que a IA pode trazer benefícios, mas também riscos significativos, como a perpetuação de preconceitos e a falta de clareza nas decisões automatizadas. A proposta é identificar diretrizes para uma abordagem ética, que garanta o uso responsável dessa tecnologia, promovendo uma integração equilibrada entre inovação e responsabilidade social.
A FORMAÇÃO DO PROFESSOR DOS ANOS INICIAIS DO ENSINO FUNDAMENTAL
Authors: Rodrigues Antonildo Oliveira , Ribeiro Mílvio da Silva
Published: December 2024

This article examines the training of teachers in the early years of Elementary Education, highlighting the challenges faced by these professionals in basic education. Despite the high number of teachers graduating annually, education in Brazil continues to face significant issues, primarily related to teacher qualification. The research indicates that the perpetuation of a traditional educational model, which prioritizes outdated and minimally innovative pedagogical methods, limits the development of professionals capable of promoting more creative and reflective education. This model often does not prepare teachers to handle new demands and emerging educational contexts, resulting in teaching practices that do not fully meet students’ needs. To improve education quality, it is essential to invest in continuous and transformative teacher training that prepares educators to be effective change agents. Professional development programs should be more than technical updates; they should foster critical reflection and adaptation to new methodologies and pedagogical approaches. Thus, ongoing professional development becomes crucial for empowering teachers to face contemporary challenges and contribute to more effective and innovative education.
ATOMOXETINA: UMA REVISÃO SOBRE O USO NO TRATAMENTO DO TRANSTORNO DE DÉFICIT DE ATENÇÃO E HIPERATIVIDADE (TDAH)
Authors: Paula Átia Lais de , Silveira Vanessa Maira Rizzato , Guidoti Bruna Marcal , Nogarini Priscila Fachini
Published: December 2024

O Transtorno de Déficit de Atenção e Hiperatividade (TDAH) é um distúrbio neuropsiquiátrico que afeta milhões de pessoas em todo o mundo, impactando o desenvolvimento e a vida social dos pacientes. A atomoxetina, um inibidor seletivo da recaptação de noradrenalina, tem sido utilizada como uma opção de tratamento não estimulante para o TDAH. Diante do exposto, este estudo visa revisar o uso da atomoxetina no tratamento de indivíduos com TDAH, abordando sua eficácia, perfil de segurança e impacto na qualidade de vida dos pacientes. A metodologia empregada foi uma revisão bibliográfica de estudos publicados entre 2020 e 2024, nas bases de dados PubMed, SciELO e BVS, utilizando termos como "TDAH", "atomoxetina", "tratamento" e "eficácia". Os resultados demonstraram que a atomoxetina apresenta um perfil positivo em termos de eficácia clínica, com melhora significativa nos sintomas de atenção e hiperatividade, especialmente em pacientes que não respondem bem a medicamentos estimulantes. Além disso, os estudos revisados apontaram um baixo risco de dependência e efeitos colaterais controláveis, sendo bem tolerada por adultos e crianças. Conclui-se que a atomoxetina é uma alternativa eficaz e segura no manejo do TDAH, principalmente para pacientes com contraindicações ao uso de estimulantes. No entanto, novos estudos de longo prazo são necessários para melhor compreender seu impacto em diferentes subgrupos de pacientes.
ĐÁNH GIÁ KẾT QUẢ ĐIỀU TRỊ VIÊM QUANH KHỚP VAI THỂ PHONG HÀN THẤP CỦA PHƯƠNG PHÁP ĐIỆN CHÂM, XOA BÓP BẤM HUYỆT KẾT HỢP XÔNG THUỐC CỔ TRUYỀN
Authors: PGS Vân
Published: December 2024

TÓM TẮT:
Mục tiêu: Đánh giá hiệu quả điều trị viêm quanh khớp vai thể phong hàn thấp của phương pháp điện châm, xoa bóp bấm huyệt kết hợp xông thuốc cổ truyền. Đối tượng và phương pháp: can thiệp lâm sàng có đối chứng, so sánh trước và sau điều trị trên 60 bệnh nhân được chẩn đoán viêm quanh khớp vai đơn thuần thể phong hàn thấp tại Bệnh viện Châm cứu Trung ương, chia thành 2 nhóm. Nhóm nghiên cứu gồm 30 bệnh nhân được điều trị bằng điện châm, xoa bóp bấm huyệt kết hợp xông thuốc cổ truyền. Nhóm đối chứng gồm 30 bệnh nhân được điều trị bằng điện châm, xoa bóp bấm huyệt. Cả hai nhóm được điều trị liệu trình 15ngày liên tục. Kết quả: Sau liệu trình 15 ngày điều trị viêm quanh khớp vai bằng điện châm, xoa bóp bấm huyệt kết hợp xông thuốc cổ truyền, các chứng trạng của chứng kiên thống thể phong hàn thấp được cải thiện, điểm Spadi đau trung bình giảm từ 50,93 ± 6,60 xuống 11,00 ± 10, điểm SPADI chức năng khớp vai giảm từ 48,0 ± 10,22 xuống 8,5 ± 5,38 sau điều trị, giảm nhiều hơn so với nhóm đối chứng, p < 0,05. Kết quả điều trị: kết quả điều trị loại tốt là 18/30 BN (chiếm 60%), đạt loại khá là 11/30 (chiếm 36,67%). Kết luận: Phương pháp xông thuốc cổ truyền kết hợp với điện châm và xoa bóp bấm huyệt có hiệu quả trong điều trị VQKV thể phong hàn thấp.
Diabetes mellitus y sus comorbilidades: Un enfoque integral para la atención del paciente
Authors: Chavez Saldaña Adriana Carolina
Published: December 2024

La diabetes mellitus es una enfermedad crónica que afecta a millones de personas en todo el mundo, y su manejo se complica frecuentemente por la presencia de comorbilidades como hipertensión, dislipidemia y trastornos cardiovasculares. Este contexto exige un enfoque integral que aborde no solo los aspectos médicos de la diabetes, sino también los factores psicosociales y emocionales que impactan la calidad de vida del paciente. El estudio se centró en sistematizar los fundamentos teóricos y metodológicos sobre la diabetes mellitus y sus comorbilidades teniendo en cuenta la atención integral del paciente. Se adscribe a un estudio descriptivo de sistematización teórica de la literatura académica reciente acerca de la sistematización de los fundamentos teóricos y metodológicos sobre el enfoque integral para la atención del paciente con diabetes mellitus. La sistematización teórica y el análisis bibliográfico se centró en los principales artículos relacionados con los descriptores especificados y criterios de inclusión hasta el establecimiento de la muestra de 27 artículos. Los hallazgos indican que un enfoque integral en la atención de pacientes con diabetes mellitus y sus comorbilidades mejora significativamente el control glucémico y la calidad de vida. La implementación de evaluaciones funcionales detalladas ha demostrado aumentar la adherencia al tratamiento y reducir la incidencia de complicaciones asociadas. Por lo tanto, la atención integral a los pacientes con diabetes mellitus y sus comorbilidades es esencial para mejorar el control de la enfermedad, optimizar los resultados de salud y fomentar un bienestar sostenible en los pacientes
PENGABDIAN KEPADA MASYARAKAT DALAM PEMANFAATAN BIOPORI SEBAGAI ALTERNATIF PENGELOLAAN SAMPAH BERBASIS SUMBER DI DESA ADAT NEGARA BATUAN KECAMATAN SUKAWATI
Authors: Suargita I Nyoman , Dewi Putu Eka Trisna
Published: December 2024

Sesuai dengan Instruksi Gubernur Bali Nomor 8324 Tahun 2021 tentang Pengelolaan Sampah Berbasis Sumber di Desa/Kelurahan dan Desa Adat sebagai bagian dari tindak lanjut atas Peraturan Gubernur Bali Nomor 47 Tahun 2019 tentang Pengelolaan Sampah Berbasis Sumber, Desa Adat Negara Batuan melakukan langkah-langkah dengan pembuatan bak penampungan sampah organic yang dikenal masyarakat setempat dengan nama trash tank. Dalam menjalankan program ini, persoalan yang kemudian dihadapi oleh desa adalah tingginya biaya pembuatan trash tank sehingga hingga saat ini baru terdapat di sedikit fasilitas umum yang ada di Desa Adat Negara Batuan. Penelitian ini termasuk dalam jenis penelitian kuantitatif dengan menggunakan metode pendekatan yang dilakukan dengan jenis pendekatan fakta (factual approach) dan teknik pengumpulan data yang dilakukan dalam penelitian ini terdiri teknik observasi, teknik wawancara dan teknik kuisioner. Alternatif yang dapat dilakukan dalam menghadapi persoalan yang tingginya biaya pembuatan trash tank yaitu dengan pemanfaatan  biopori.  Biopori adalah teknologi sederhana yang mampu meningkatkan daya resap air hujan dan meningkatkan jumlah cadangan air bersih di dalam tanah. Manfaat lain dari  biopori dimusim kemarau adalah dapat dialihfungsikan menjadi penampungan sampah organic yang mudah terurai sama seperti fungsi trash tank.
PEMANFAATAN MEDIA SOSIAL DALAM PEMASARAN PRODUK BAGI PELAKU UMKM DI PASAR TUNJUNG DESA PADANGSAMBIAN KELOD
Authors: Anom I Gusti Ngurah , Putra I Kadek Gustana
Published: December 2024

Virus Covid-19 pertama kali muncul di tahun 2019. Organisasi Kesehatan Dunia (WHO) telah menetapkan virus corona sebagai pandemi. Hal ini membuat pemerintah dan masyarakat dunia makin waspada dengan penyebaran virus corona. Pandemi Covid 19 berdampak pada hampir semua sektor kehidupan, tak terkecuali aktivitas perdagangan yang dilakukan oleh Usaha Mikro Kecil Menengah (UMKM). Sektor Usaha Mikro Kecil dan Menengah (UMKM) di masa pandemi Covid 19 memiliki berbagai masalah seperti penurunan omset penjualan dan permodalan. Oleh karena  itu Pelaku UMKM  perlu segera menyesuaikan cara bisnisnya dengan menggunakan cara yang sesuai dengan situasi kondisi saat ini. Pelaku Usaha Mikro Kecil dan Menengah (UMKM) harus memanfaatkan media sosial sebagai sarana pemasaran online untuk meningkatkan omset penjualan produk di masa pandemi Covid 19 . Saat ini media sosial  sudah sangat mudah diakses oleh siapapun di seluruh dunia, termasuk para Pelaku UMKM yang menggunakan media sosial sebagai sarana pemberi dan berbagi informasi tentang produk yang ditawarkan kepada konsumen secara online. Tetapi hal ini tidak di dukung dengan kemampuan pelaku UMKM yang cenderung rendah dalam menggunakan teknologi. Sesuai dengan permasalahan yang ada, maka pengabdian masyarakat ini bertujuan untuk memberikan pemahaman serta pengetahuan mengenai media sosial sebagai sarana penjualan/pemasaran produk yang efektif dan efisien di masa pandemi Covid 19 saat ini. Selain itu juga pemanfaatan sosial media akan memberikan prospek yang baik untuk meningkatkan omset penjualan produk UMKM yang mengalami dampak pandemi Covid 19.