bluuebunny/crossref_metadata_2025 huggingface dataset:
Review of Extended Drug Delivery Oral Formulations
Authors: Chowdary K Sunil , Arumugam Napoleon Ayyakannu
Published: May 2024

Generally maximum times applied route for administration of drugs is oral only. The drugs that are given orally but are having smaller half-life and great dosing rate of recurrence are very promising methodology is oral extended release drug delivery system. In this system, frequency of dosing diminishes or moderates for assured drugs through slow release of drug over an extended time period. Extended release drug delivery system can affect by different physicochemical and biological properties. The present review contains brief–up on innumerable oral extended release formulation methodologies.
Design and Implementation of Cost-Effective Assurance Engineering Using Wake-Sleep Algorithm-Based WideResNet with Nonlinear Analysis and Topology Integration
Authors: M Srinivasan
Published: May 2024

The proliferation of artificial intelligence (AI) in recent years has resulted in an increase in the AI-driven applications across diverse fields. The assurance of the credibility of these AI systems has emerged as a crucial worry. This paper introduces a new model for achieving cost-effective assurance engineering by employing the Wake-Sleep algorithm with the WideResNet architecture. The Wake-Sleep method is utilized in unsupervised learning. This methodology improves the comprehensibility of AI but also establishes a basis for cost-efficient assurance engineering. The Wake-Sleep algorithm has two distinct phases: the Wake Phase, which entails the generative model using actual data, and the Sleep Phase, which enhancement of the encoder through the generated data utilization. The framework is the WideResNet neural network design, which is widely recognized for its effectiveness. The characteristics offer an equilibrium between computational resources and model performance, making it a viable choice for cost-effective solution.
spgwα-Continuous Multifunctions
Authors: M. M. Holliyavar
Published: May 2024

The purpose of this paper is to introduce and study spgwα-continuous multifunctions such as upper (lower) spgwα-continuous multifunctions, basic characterizations and several properties concerning to upper and lower spgwα-continuous multifunctions are investigated. Further, upper (lower) spgwα-irresolute multifunctions are also studied with basic properties.
Every Tree is an Integral Sum Graph
Authors: S. Muthukkumar
Published: May 2024

A finite simple graph G is called an integral sum graph (respectively, sum graph) if there is a bijection f from the vertices of G to a set of integers S (respectively, a set of positive integers S) such that uv is an edge of G if and only if f (u)+f (v) ∈ S. In 1999, Liaw et al (Ars Comb., Vol.54, 259-268) posed the conjecture that every tree is an integral sum graph. In this note, we prove that all trees are integral sum graphs. Further, we prove that every bipartite graph is an induced subgraph of a sum graph G with sum number σ(G) = 1.
Solar Panel Sun-Rays Tracking and Cleaning System for Improvement in Power Efficiency
Authors: Parshwa Pravin Patil
Published: May 2024

There is an increasing need to reduce greenhouse gas emissions and find more environmentally friendly ways to power the planet. An estimated 4 billion years will pass before the sun stops shining, making it a renewable natural power source. A sustainable method of generating electricity from the sun's energy is offered by solar power systems. In comparison with single axis solar tracker, a dual axis solar tracker tracks the sun at every instance hereby increasing the efficiency by 30-35%. In this system we have a solar panel which tracks the position of the sun and always try to remain perpendicular to sun rays. It will track the sun in all four directions i.e east-west and north-south. This paper focus more on Design of Dual tracking system, which includes installation of GPS and RTC system, stored energy usage for application , periodic cleaning in order to maintain efficiency of panel and comparative analysis of stored energy. Alternative, less expensive options have been suggested because the solar tracking equipment is expensive to manufacture.The goal of this effort is to create a solar dual tracking system model that includes solar panel cleaning as well.
Empowering Precision Agriculture: A Novel ResNet50 based PDICNet for Automated Apple Leaf Disease Detection
Authors: Arshad Ahmad Yatoo
Published: May 2024

Inspection of plant leaves through the naked eye is difficult and does not guarantee accurate assessment which results in economic loss to the farmers. Biotic or abiotic stress develop lesions on plant leaves and reduce crop quality and yield. This paper presents a novel model that uses RestNet50-based Deep Learning Convolutional Neural Network (DLCNN) classifier. This approach combines the optimization power of ACO with the robustness of ResNet50 to enable effective feature extraction and selection. We verify the efficacy of the strategy by extensive testing on an indigenously built dataset demonstrating its superior performance over other approaches. Our work advances automated methods for apple leaf disease detection and provides a dependable and useful solution for precision agriculture in apple orchards.
Optical Properties of Tlinse2 Single Crystals
Authors: G.N. Mammadova
Published: May 2024

This paper presents the results of studying the surface microrelief in 2D and 3D models and analyzing the spectroscopy of a three-junction TlInSe2 crystal. Analysis of the results obtained showed that with a change in the composition of the TlInSe2 crystal, sharp changes occur in the microrelief of its surface. An X-ray optical diffraction analysis of the TlInSe2 crystal was experimentally carried out. Based on ellipsometric data, optical functions were determined - the real and imaginary parts of the dielectric permittivity of crystals, the coefficients of optical absorption and reflection, the dependence of energy losses and electric field power on the effective density, the spectral dependences of the real (σr) and imaginary (σi) parts, optical electrical conductivity were experimentally studied. The fluorescence spectra of the ternary compound TlInSe2 were isolated and analyzed when excited by light with a wavelength of 532 nm. X-ray studies of TlInSe2 showed that this phase crystallizes into tetragonal systems. Ellipsometric measurements showed that the real (ε1) and imaginary (ε2) parts of the dielectric constant are components of the dielectric constant tensor of the uniaxial joints under consideration and do not depend on the angle. Analysis of the dependence of the real and imaginary parts of the refractive index of the TlInSe2 crystal on photon energy showed that the nature of the change in the real and imaginary parts of the dielectric constant does not differ significantly. When analyzing the spectral dependences of the real (σr) and imaginary (σi) parts of the optical electrical conductivity, it was noticed that the real part of the optical electrical conductivity increases exponentially in the energy range 0.894-3.505 eV. In the energy range of 0.654-2.91 eV, the imaginary part of the optical electrical conductivity increases linearly, reaches a maximum value, and decreases at an energy of 2.91 eV. At 3.6 eV, an inversion of the imaginary part of the optical electrical conductivity of the TlInSe2 compound is observed. From the graphs of the effective power density versus electric field energy losses, it is known that the effective power density increases significantly in the energy range of 0.805–3.52 eV. The fluorescence spectrum of the ternary compound TlInSe2 upon excitation with light with a wavelength of 532 nm has been studied and it has been established that this phase has luminescent properties.
Diabetes Prediction Using Machine Learning
Authors: Payal Gupta
Published: May 2024

Diabetes, characterized by high blood sugar levels over time, poses challenges for accurate prediction due to limited labelled data and data quality issues like outliers and missing values. To address these challenges, our research introduces a robust prediction framework. This framework integrates techniques such as outlier rejection, filling missing values, standardizing data, selecting relevant features, and employing K-fold cross-validation. We utilize a range of machine learning algorithms including k-nearest Neighbour, Decision Trees, Random Forest, AdaBoost, Naive Bayes, XGBoost, and Multilayer Perceptron (MLP). Additionally, we propose a weighted ensembling technique to enhance prediction accuracy. The weights for ensembling are determined based on the performance of each classifier using the Area Under ROC Curve (AUC) metric. We optimize model performance through hyperparameter tuning using grid search. Our experiments are conducted using the Pima Indian Diabetes Dataset under uniform conditions. The ensembling classifier we propose achieves superior performance with a sensitivity of 0.789, specificity of 0.934, false omission rate of 0.092, diagnostic odds ratio of 66.234, and AUC of 0.950. This outperforms existing methods by 2.00% in terms of AUC. Our framework surpasses other approaches discussed in the literature and shows promise for improving diabetes prediction. We have released our source code for diabetes prediction to the public.
Medical Insurance Price Prediction Using Machine Learning
Authors: Md Mohtaseem Billa
Published: May 2024

The escalating costs and complexities in the healthcare sector underscore the necessity for efficient predictive models to anticipate medical insurance prices. This study explores the application of machine learning techniques for forecasting medical insurance premiums, aiming to provide stakeholders with invaluable insights for pricing strategies and risk management. Using a comprehensive dataset encompassing demographic information, medical history, lifestyle factors, and insurance coverage details, various machine learning algorithms including regression, decision trees, random forests are employed and compared. Feature engineering techniques are applied to enhance model performance and interpretability, ensuring the inclusion of relevant predictors while mitigating overfitting. However, in recent years, the emergence of machine learning techniques has offered promising solutions to enhance medical insurance price prediction. This paper conducts an extensive review of various machine learning approaches utilized for this purpose, covering regression-based methods, time series forecasting techniques, ensemble methods, deep learning strategies, and hybrid models. We delve into the unique strengths, limitations, and practical applications of each technique. Moreover, we address the prevalent challenges associated with employing machine learning in medical insurance price prediction, such as data accessibility, feature selection, model interpretability, scalability, and generalization. Additionally, we look ahead to future research avenues and opportunities aimed at refining the accuracy and utility of machine learning models in predicting insurance prices. Through this comprehensive review, we aim to provide valuable insights for researchers, practitioners, and policymakers, facilitating informed decision-making in healthcare contexts through the utilization of machine learning methodologies.
Implementing Inception v3, VGG-16 and VGG-19 Architectures of CNN for Medicinal Plant leaves Identification and Disease Detection
Authors: Kunal Tyagi
Published: May 2024

Medicinal plants have been a valuable source of healing and healthcare for centuries, serving as a crucial component of traditional medicine systems worldwide. The identification of these plants is a fundamental step in harnessing their therapeutic potential and ensuring their sustainable use. Accurate identification of these plants and the early detection of diseases affecting their leaves are crucial for ensuring a consistent supply of high-quality medicinal resources. In this paper, three types of CNN architectures of deep learning are used to develop robust classification models for distinguishing between healthy and diseased medicinal plant leaves. Inception v3 is known for its versatility in handling various input image sizes without the need for extensive pre-processing, while VGG-19 exhibits high accuracy, robust feature extraction, and suitability for complex image patterns. VGG-16, known for its simplicity and ease of training, provided competitive results, particularly where computational resources were limited. These networks have been pre-trained on large-scale image datasets and fine-tuned using them. These different approaches provide a varied solution to this problem by comparing their accuracy levels, feasibility and to select which one suits the best in this study.
Breast Cancer Recurrence Prediction Using Data Mining
Authors: Rosy Madaan Charanpreet Kaur,
Published: May 2024

Today, the Healthcare sector is generating a vast amount of meticulously detailed information on individuals and their medical issues. Medical data may be investigated for hidden patterns or connections using data mining techniques. The spread and return of the illness are the main causes of breast cancer fatalities. One of the most important areas of study in the field of medicine is the early diagnosis of breast cancer. Healthcare businesses can benefit from data mining by forecasting patient illnesses and behaviour trends. This is performed by analyzing data from many angles and by using data mining to find hidden patterns and associations between seemingly unrelated bits of information. Months after the original diagnosis and breast cancer therapy, a metastatic recurrence of the disease may happen. Only a few number of techniques have been researched in the state of the art due to the challenges associated with early breast cancer recurrence prediction during its medication. The aim of the research is to review the work done by different researchers in this field and to compare the various traditional data mining classifiers (Logistic Regression, Naïve Bayes, K-Nearest Neighbours, Decision Tree, Support Vector Machines, and Random Forest) applied to Breast Cancer Data Set from UCI Machine Learning Repository. Out of these, the best results were given by Random Forest Algorithm with 98.4% accuracy.
Kümeleme Analizi ile Türkiye’deki İllerin Mahalli İdareler Bütçe Gelirlerine Göre Sınıflandırılması
Authors: Dündar Ahmet
Published: May 2024

Mahalli idareler varlık ve hizmet anlamında süreklilik sağlayabilmek için gelirlerinin önemli bir kısmını oluşturan öz kaynaklara ihtiyaç duymaktadır. Bu öz kaynaklar taşınır ve taşınmaz mallarının kirası, vergiler, sermaye gelirleri, alınan bağışlar ve yardımlar gibi kaynaklardır. Ekonomik olarak güçlü durumda olan mahalli idareler, kendilerinden beklenen kamu hizmetlerinin yanı sıra çeşitli sosyal hizmetler de sunarak toplumsal refahın artmasına katkıda bulunmaktadırlar. Bu araştırma, 2020-2021-2022 yıllarına ve bu yılların ortalamasına ait Türkiye’de il bazında kişi başına düşen mahalli idareler bütçe gelirlerinin nasıl bir dağılım gösterdiğini tespit etmek ve uygulanan k-means kümeleme analizlerinin sonuçlarını karşılaştırmak amacıyla gerçekleştirilmiştir. T.C. Hazine ve Maliye Bakanlığı Muhasebat Genel Müdürlüğü ve Türkiye İstatistik Kurumundan elde edilen veriler kümeleme analizine tabi tutulmuştur. Araştırmanın bulgularına göre farklı yılların analizlerinin benzer sonuçlar ortaya koyduğu görülmüştür. Ayrıca Türkiye’de kişi başına düşen mahalli idareler bütçe gelirlerinin nasıl dağılım gösterdiği tespit edilmiş ve bütçe gelirleri arasında en büyük ve en küçük payın hangi parametrelere ait olduğu belirlenmiştir.
Modeling Synchronization in Turbulent Flows
Authors: Herrmann Benjamin
Published: May 2024

Benjamin Herrmann describes a data-driven modeling procedure for fluid dynamics. In particular, he discusses how to model synchronization in forced turbulent oscillator flows using a data-driven extended Stuart-Landau equation.
Data-driven Modeling of Traveling Waves
Authors: Mendible Ariana
Published: May 2024

In this video, Ariana Mendible describes a dimensionality reduction method for dynamical systems with traveling waves, giving low-rank representations of wave shapes and interpretable models for the wave speeds.
Peers Influence on Youth Political Behavior: A Systematic Review
Authors: Zainurin Siti Juwairiah , Wan Husin Wan Norhasniah , Zainol N. M. , Ismail A.
Published: May 2024

Youth political behaviour plays a crucial role in shaping the democratic system of a country. Several factors, such as socio-economic status, employment opportunities, and educational background, have been extensively studied in relation to their impact on youth political behaviour. However, there is a deficiency in systematic reviews specifically focusing on the influence of peers on youth political behavior. This article aims to address this gap by conducting a systematic review of relevant studies from the Web of Science, Scopus, SpringerLink, and ProQuest databases. In total, 30 studies were identified through comprehensive search terms such as “peer influence”, “youth”, “political knowledge”, and “political behavior”. Through this review, four key themes emerged: (1) political knowledge, (2) group discussion, (3) peer pressure, and (4) identity development. The findings highlight the significance of identity development and peer pressure as the most influential factors shaping youth political behaviour. By adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, this review encompasses studies conducted in various countries without any geographical restrictions. Gaining a comprehensive understanding of how peers influence the political behaviour of youth can provide leaders and policymakers with crucial insights for encouraging knowledgeable peer networks.
Examination of Preschool Citizenship Education in Terms of Program and Teachers' Views
Authors: Çekici Zehra , Çiftçi Barış
Published: May 2024

In this study, it was aimed to determine the opinions of preschool teachers about citizenship education and to make evaluations for citizenship education in line with the findings. For this purpose, the research was shaped by a case study, one of the qualitative research methods. In determining the sample, the 'convenience sampling' technique, which is one of the 'purposive sampling' methods, was used. In this study, a semi-structured interview form prepared by the researcher was used. The semi-structured interview form prepared within the scope of the research was applied to 25 preschool teachers working in pre-school education institutions. The analysis of the data obtained in the research was evaluated with content analysis. Findings related to the research are presented in 8 main themes and categories. As a result of the research; It is seen that the knowledge of pre-school teachers about the concept of citizenship education is sufficient. It was stated that social participation, respect, patriotism, love, belonging, sensitivity, cooperation, responsibility, empathy, critical thinking, tolerance, helpfulness skills and values should be given within the scope of citizenship education in the preschool period. Teachers stated that the acquisitions in the pre-school education program are not fully sufficient in terms of citizenship education, but they can be improved because it is a flexible program. It has been concluded that if appropriate activities for citizenship education are planned, taking into account the age levels of children in the pre-school period, children's perspectives on the concept of citizenship can be improved. The practices most recommended by teachers for citizenship education were "field trips". The teachers stated that the concepts related to citizenship education should be embodied with activities because the age groups of children in the pre-school period are small. 44% of pre-school teachers find the readiness of preschool children sufficient in terms of citizenship education. In addition, it has been determined that there are 1 acquisitions in the field of cognitive development related to citizenship education and 8 acquisitions in the field of social and emotional development in the preschool education program
網路快時尚服飾品牌：消費者知覺品質對品牌愛戀及購買意圖影響之研究
Authors: 伍秀娟 伍秀娟 , 田寒光 田寒光 , Han-Kuang Tien 高亦蘭
Published: May 2024

本研究旨在探討消費者的購買意願如何受到消費者的感知品質和品牌愛戀的影響之外，並且檢驗網紅魅力在消費者的感知品質和品牌愛戀之間的調節效應。本研究針對台灣地區336名消費者進行線上問卷調查，數據分析使用結構方程模型(SEM)進行。

研究結果顯示：(1)消費者品質感知正向顯著影響品牌愛戀。(2)網紅魅力正向調節了消費者品質感知和購買意願之間的關係。(3)品牌愛戀對正向顯著影響購買意願。本研究針對如何提高消費者的知覺品質、建立消費者的品牌愛戀以及利用網紅魅力增加線上消費者的購買意願提出建議。

 

The aim of this study is to investigate how consumers’ purchase intention is influenced by consumers’ perceived quality and brand love. Additionally, the moderating effect of influencers’ charm between consumers’ perceived quality and brand love is examined.

Online survey was conducted on 336 consumers in Taiwan. Data analysis was conducted using SEM(Structured Equation Model). The research results show (1) Consumer perceived quality has a positive effect on brand love. (2) Influener charm positively moderates the relationship between consumers’ perceived quality and purchase intention. (3) Brand love has a positive effect on purchase intention. Implications for increasing online consumer purchase intention, establishing consumer brand love, and leveraging influencer charm to enhance online consumer willingness to purchase. conclude the article.

 
Rezension von: Haag, Gottlob, Mit ere Hendvoll Wiind
Authors: Hampele Walter , Haag Gottlob
Published: May 2024

Gottlob Haag: Mit ere Hendvoll Wiind. Gedichte in hohenlohisch-fränkischer Mundart mit einer vom Autor gestalteten Schallplatte. Rothenburg o. d. Tauber: J. P. Peter, Gebr. Holstein 1969. 80 S. 12,80 DM.
Rezension von: Schrader, Wilhelm, Die schönste Hoheloher G'schichtlich vum alte Gäwele
Authors: Wunder Gerd , Schrader Wilhelm
Published: May 2024

Wilhelm Schrader: Die schönste Hoheloher G’schichtlich vum alte Gäwele. Öhringen: Rau 1967. 2. Auflage. 252 S. 12,80 DM.
Rezension von: König, Hans-Joachim (Hrsg.), Die Johanneskirche in Crailsheim
Authors: Wunder Gerd , König Hans-Joachim
Published: May 2024

Hans-Joachim König (Herausgeber): Die Johanneskirche in Crailsheim. Kirchberg a. J.: Wettin-Verlag 1967. 87 S.
Rezension von. Brod, Walter Michael, Fränkische Schreibmeister und Schriftkünstler
Authors: Ulshöfer Kuno , Brod Walter Michael
Published: May 2024

Walter M. Brod : Fränkische Schreibmeister und Schriftkünstler. Mit Beiträgen von Otto Meyer und einem Nachwort von Werner Doede, Mainfränkische Hefte 51 (1968). 60 S., 32 Abb.
Rezension von: Eckhardt, Karl August, Fuldaer Vasallengeschlechter im Mittelalter
Authors: Lenckner Georg
Published: May 2024

Karl August Eckhardt: Fuldaer Vasallengeschlechter im Mittelalter. Die von der Tann und ihre Agnaten. Unter Mitarbeit von Wilhelm Alfred Eckhardt. 184 S., 12 Tafeln. Marburg: Trautvetter & Fischer Nachf. 1968. (= Beiträge zur hessischen Geschichte 6).
Rezension von: Brecht, Martin, Kirchenordnung und Kirchenzucht in Württemberg vom 16. bis zum 18. Jahrhundert
Authors: Haug Otto , Brecht Martin
Published: May 2024

Martin Brecht : Kirchenordnung und Kirchenzucht in Württemberg vom 16. bis zum 18. Jahrhundert. (Quellen und Forschungen zur württembergischen Kirchengeschichte, Bd. 1.) Stuttgart 1967. 104 S. DM 12.80.
A case report of recurrent ovarian torsion following oocyte cryopreservation managed with dual technique oophoropexy
Authors: E Spurlin Emily , M de Souza Katherine , L Keller Sarah , S Ratts Valerie , R Omurtag Kenan , T Jimenez Patricia
Published: May 2024

Introduction: Ovarian torsion is a known risk of ovarian hyperstimulation done as part of fertility treatments. The purpose of this case report is to describe an unusual case of recurrent ovarian torsion following oocyte cryopreservation that was ultimately managed with ovarian detorsion and dual technique oophoropexy.

Case Report: The patient presented is a 25-yearold female with history of recurrent ovarian torsion who underwent fertility preservation with ovarian cryopreservation in the setting of risk for ovarian loss in the case of recurrent torsion episodes. Following ovarian hyperstimulation and oocyte retrieval, the patient experienced three recurrent episodes of torsion which were surgically managed. On the third episode, a dual technique oophoropexy was performed using both utero-ovarian ligament plication and ovarian fixation.

Conclusion: This case describes an unusual presentation of an uncommon complication of ovarian stimulation. During her surgical management of recurrent ovarian torsion, ovarian conservation was prioritized and a dual oophoropexy technique was utilized which has thus far prevented further recurrent episodes of torsion.
How To Measure The Economic Return Of Education
Authors: Mohamed Meteb Prof. Alotaibi
Published: May 2024

This research aims to explain the different ways to measure the economic return from education by comparing individual and social incomes with the educational levels of individuals. There are many methods that can be used to measure the economic return from education, the most important of which are the simple correlation method, the residual income method, and the direct rate of return method for education. The descriptive analytical approach was used to measure the economic return from education and to analyze the return and cost of education. There are many studies that have attempted to measure the economic return from education with the aim of determining the economic value of education represented by the income or wage that the educated individual receives, is this income primarily due to education or are there other factors that affect income generation. Previous studies in measuring the economic return from education have reached important results, a higher level of education leads to increased productivity and higher income. Through analyzing the return and cost of education, the economic return from education is greater than the expenditure on it, and its investment return may exceed many other economic projects. Education also has a social return, both for individuals and society.
Therapeutic management of cavitated caries lesion in a patient with sensory processing disorder
Authors: Lins-Candeiro Caio Luiz , Jesuino Rômulo , Ribeiro João Marcos , Sakamoto Silvio Pedro , Rodrigues Renata , Lacerda Rafael , Paranhos Luiz Renato
Published: May 2024

Caries disease is still an important public health problem. Although preventing the disease is simple, it is still a challenge due to the interaction of cariogenic factors. One of the forms of treatment is the selective removal of carious tissue, which consists of the total removal of carious tissue from the surrounding walls, preserving the affected tissue in the pulp wall, as it is a tissue capable of remineralization. In the conservative philosophy, there are alternative therapies to the use of manual cutting instruments and the use of rotary instruments - such as the use of chemical agents. These materials help the professional in the selective removal of decayed dentin tissue. The more conservative philosophy is an excellent alternative for patients with Sensory Processing Disorder, as it generates less sound, olfactory, thermal and tactile stimuli – also improving the pain experience. This makes it possible to provide the patient with individualized care, taking into account and respecting their limitations and needs.
Programa Jovem Aprendiz: study of instructors’ representations about distance modality
Authors: Prado Leandro Aparecido do , Gisi Maria Lourdes
Published: May 2024

The Programa Jovem Aprendiz presents itself as an alternative for teenagers and young people between 14 and 24 years old to enter the world of work. Based on Law No. 10,097/2000, several qualifying institutions in the Brazil offer the program, providing young people with theoretical training, while professional practice is the responsibility of companies. This research aims to analyze the instructors' representations about the Programa Jovem Aprendiz developed in the Distance Education modality, offered by a qualifying institution in the State of Paraná. The research was carried out through semi-structured interviews with eleven instructors. The study is based on Gadamer's writings (1999) Moscovici (1961) and the content analysis proposed by Bardin (2016). By understanding the understanding of the professionals involved in the apprentices' training process, we sought to elucidate how action and thought are interconnected in the social dynamics that implement the Programa Jovem Aprendiz.
KEMAMPUAN BERPIKIR REFLEKTIF FISIKA PESERTA DIDIK SMA SE-KOTA MAKASSAR
Authors: Alivka Grivthy , Martawijaya Muhammad Agus , Hasyim Mutahharah
Published: May 2024

This research aims to determine the physics reflective thinking abilities of high school students in Makassar City. Reflective thinking is one of the characteristics of formal operational thinking. The sample was class XII students from each of the four schools, namely SMA Negeri 6 Makassar, SMA Negeri 8 Makassar, SMA Negeri 9 Makassar, dan SMA Negeri 18 Makassar totalling 159 students. The research data was obtained by giving a 10-item essay test. The analysis technique used is quantitative descriptive analysis. The research results show that the average obtained by high school students in Makassar City is 9,61 and is in the low category. Based on the results of the analysis and interviews that have been conducted, the low ability of students' reflective thinking cannot be separated from various factors that influence it, such as students still solving problems directly, students considering physics to be a difficult subject and memorizing a lot of formulas so that students are less interested in learning physics, and Students still make mistakes in answering questions when given the opportunity to correct their answers.
انی کی آلودگی اور ضیاع: اسباب، اثرات، اور حل کی تلاش سیرت طیبہ کی روشنی میں
Authors: Dr. Saeed Ahmad Saeedi  , Shahid Ali
Published: May 2024

Allah Almighty sent the Prophet (PBUH) with the Holy Quran, which guides us on how to solve problems at individual, social, national, and international levels. The Prophet (PBUH) is the epitome of guidance provided in the book of Allah. Therefore, the Ummah has preserved all aspects of the prophetic life in a collection called Fiqh al Sirah, so that we may overcome the hurdles and complications in our lives. Whenever ummah feels any hurdle in the way of social life, they seek guidance from the books written on the matter of Fiqh al Seerah. Water is a fundamental necessity of life that is bestowed upon us by Allah Almighty. The significance of water is not only emphasized in Islamic texts like the Quran, Hadith, and Fiqh but also in various scientific studies. However, in recent times, water pollution has become a major threat to human health and the environment. The contamination of natural water resources by various pollutants has led to severe consequences. To address this issue, it is crucial to understand the causes and impacts of water pollution. Some of the major causes of water pollution include industrial waste, domestic waste, and agricultural practices. To combat this issue, it is essential to adopt sustainable practices that reduce water pollution. This article aims to provide an in-depth analysis of the causes, impacts, and possible solutions to water pollution. The significance of this article is that it provides a comprehensive solution to the problem of water pollution, based on an in-depth analysis of the Islamic perspective extracted from Qyran, Seerah and Fiqh on environmental conservation.
The Regulation of Legal Protection for Poor Communities Toward Justice in Indonesia and the Netherlands
Authors: Partogi Sihombing Januardo Sulung , Saraswati Retno , Yunanto Yunanto , Turymshayeva Arida
Published: May 2024

Poor people often have difficulty accessing legal aid in court. In the criminal, civil, and state administrative justice systems, providing legal assistance to the poor is essential for achieving justice. This research aims to illustrate how legal aid, provided by advocates, can transform the reality of justice for impoverished individuals. This study uses normative legal research, providing a descriptive account through a legal framework encompassing legal aid, the judiciary, judicial authority, and advocates. The research also uses a conceptual approach to human rights and justice, aiming to establish an ideal model of legal protection for people experiencing poverty. The research results demonstrate that providing legal assistance to people experiencing poverty not only shields the community from arbitrary actions by the authorities that violate the law but also fosters order and peace, ensuring the community receives justice. However, in Indonesia, establishing criteria for the impoverished remains challenging; structurally, the institutional budget is insufficient; culturally, the impoverished often harbor misconceptions and skepticism about the quality and affordability of legal aid. Meanwhile, in the Netherlands, providing legal protection is carried out through legal assistance, with the consideration of offering toevoeging and consideration of legal assistance based on people's salaries. Based on the number of cases for which assistance is provided, the results and public awareness are much better, although not optimal. The concept of providing legal aid must also be directed towards a responsive and structural type, combined with the concept of access to law and justice. Budgetary policies or rules must be regulated concretely and balanced from the individual validation stage, selecting the type of service and appointing a lawyer for evaluation.
Preservation of Femininity in A. K. Summers’ Pregnant Butch
Authors: Ibrahim Laila Nabilahtuzzahro , Pasopati Rommel Utungga
Published: May 2024

This study examines the depiction of femininity in the graphic novel Pregnant Butch by A. K. Summers. The novel follows the story of Teek, who is experiencing pregnancy as a butch lesbian for the first time. This article investigates Teek’s sustaining femininity throughout her pregnancy journey as a butch. A butch itself is a gender expression that holds a masculine role in lesbian relationships. The researchers took the data of this analysis is taken by reading the graphic novels thoroughly, approaching the analysis from Teek's perspective, compiling a list of dialogues and interactions, and categorizing the collected data into specific themes. Using a qualitative method, the researchers in this analysis underline the uniqueness between masculinity and femininity illustrated in the graphic novel. In conclusion, Teek's experience of femininity during pregnancy enriches her butch identity, emphasizing her ability to balance both masculine and feminine aspects of herself. The study highlights the significance of feminine elements in Teek's unwavering expression of femininity.
Intricateness of Adaptation of Literature to Film in Today’s Crisscrossed World
Authors: Pasopati Rommel Utungga , Suyaji Fransisca Irnidianis Magdalena , Kirana Kheista Sasi , Ramadhani Riska Dewi , Wijaya Kusuma
Published: May 2024

This paper investigates the realities of literature adaptation to film in today’s world of literary criticism. People enjoy motion pictures and compare them with its original textual Literature. By focusing on literary criticism theories, this article explains modern to postmodern aesthetic points, especially in the era of definitions in romanticism, reflectionism and its auto, empiricism until pragmatism, and the age of language beyond communication. Through those former points, the adaptation of Literature to film brings in a wider point: the world itself. The adaptation is shown to broaden concepts and interpretations among writers, directors, and also audiences. Every aspect is so active to interpret in today's crisscrossed world that meanings vary from critical and evaluation perspectives. The adaptation is not about merely fixed definitions or even market orientations but open meanings on dialogues among realities. Any measurement from Literature or film is never enough to compare adaptation to its original form since it is located between individualities and societies. In conclusion, the adaptation of Literature should indicate that dominations must be minimized by maximizing hospitality of differences.
Investigation of pad radius effects on multiaxial fretting fatigue behavior of al2024 alloy
Authors: Baltach Abdelghani , Taghezout Ali , Chaouch Mohamed Ikhlef , Benhamena Ali , Djebli Abdelkader
Published: May 2024

Fretting fatigue, a critical phenomenon prevalent in engineering applications, occurs at the interface of contacting surfaces under cyclic loading, presenting significant challenges. The advent of Finite Element Analysis (FEA) has transformed the investigation of fretting fatigue by offering detailed insights into stress distributions and fatigue damage mechanisms. This study delves into the impact of pad radius on the fretting fatigue behavior of Al2024 alloy using FEA, with a focus on hot spot analysis and the Smith-Watson-Topper (SWT) criterion. The analysis aims to validate numerical results against analytical findings and explore the role of pad radius in determining contact behavior, fatigue life, and hot spot locations. By incorporating "fe-safe" software, computations are streamlined, facilitating efficient comparison of different fatigue initiation criteria. The results demonstrate that variations in pad radius significantly influence fretting fatigue behavior. Larger pad radii tend to distribute stresses more uniformly across the contact interface, resulting in reduced fatigue damage and longer fatigue life compared to smaller pad radii. Hot spot analysis reveals that smaller pad radii concentrate stresses at specific regions, accelerating fatigue damage initiation. The findings contribute to a deeper understanding of fretting fatigue mechanisms, shedding light on the importance of pad radius in designing more durable engineering components. Through professional scientific methodology, this study provides valuable insights into optimizing pad design to mitigate fretting fatigue and enhance the reliability of mechanical systems.
Fine particle capture performance assessment in an electrostatic-fabric integrated precipitator
Authors: Hassane Dahbi , Arbaoui Iliace , Tadjeddine Ali Abderrazak , Ghaitaoui Touhami
Published: May 2024

Electrostatic precipitators, which are more commonly referred to as precipitators, play a crucial role in the process of reducing the quantity of airborne contaminants that are present in both atmospheric and flue gas settings. This is because precipitators are able to lower the concentration of contaminants in the air. The fine particles, ash, and oil that make up these pollutants are included. With a special emphasis on a Cottrell-type electro-filter that makes use of the wire-cylinder arrangement, the goals of this study are to evaluate the practicability of various filtration systems for the purpose of air decontamination. Specifically, the study will focus on the Cottrell-type electro-filter. By conducting a thorough examination of the peculiarities of the electrical and physical parameters that regulate the mechanisms of particle aggregation, our major purpose is to achieve a comprehensive understanding of these parameters. Through the use of experimental design strategies, we will make an effort to construct and perfect the filtration process in the subsequent stage. In addition to that, the purpose of this inquiry is to explore the impact that high voltage levels and the diameter of the conductor wire that is incorporated into the prototype have. Especially notable is the fact that our prototype exhibits an incredible filtration efficiency, with rates reaching up to 98%. This performance is really remarkable. Its exceptional performance reveals that it has the potential to be suitable for a wide variety of contexts, including residential, commercial, healthcare, industrial, and workshop applications. This suggests that it has the potential to be suitable for a wide range of applications.
Reflexões críticas sobre as questões socioambientais na mesorregião norte goiana: uma análise do documentário 'Ser Tão Velho Cerrado
Authors: Silva Laurielly Maria Itacarambi da , Cândido Lauro Bian Conceição , Wiesner Rodrigo , Pimentel Fernando Campos
Published: May 2024

Neste artigo, propomos uma análise fílmica do documentário "Ser Tão Velho Cerrado" (2018), dirigido por André D’Elia, com foco nas questões socioambientais da Mesorregião Norte Goiano, Microrregião Chapada dos Veadeiros. O presente estudo destaca a importância do documentário como uma ferramenta para discutir e compreender as questões relacionadas à degradação e à devastação do bioma. O Cerrado brasileiro é essencial para a preservação das reservas de água potável do país. Ele recarrega aquíferos, mantém nascentes e cursos d'água, abriga espécies hidrodependentes e regula o clima regional. Sua preservação é vital para garantir água potável, destacando-se como um dos principais biomas do Brasil. Além disso, examinamos a relevância da abordagem educacional no filme para sensibilizar o público sobre os impactos ambientais da degradação do bioma Cerrado e consequentemente de sua contribuição para o Brasil. Ao longo deste trabalho, exploramos as diversas perspectivas apresentadas no documentário, incluindo aquelas da população local, dos políticos, de empresários, dos defensores da preservação ambiental, ativistas e turistas. Também investigamos as alterações ecossistêmicas decorrentes da rápida e invasiva intervenção humana na região. A abordagem educacional adotada no documentário emerge como um dos pontos centrais de análise, revelando sua capacidade de sensibilizar o público sobre os impactos ambientais da degradação do Cerrado. Concluímos com uma reflexão sobre o estado atual do bioma, alertando para a necessidade urgente de ações efetivas de preservação, uma vez que degradado, o Cerrado enfrenta um processo irreversível de extinção. Este estudo busca contribuir para uma compreensão mais ampla das complexidades socioambientais relacionadas ao Cerrado e para o estímulo de iniciativas de conservação e sustentabilidade.
Hancornia speciosa: uma análise bibliométrica
Authors: Nunes Maria Silvana , Monteiro Gabriela Barbosa de Freitas , Nascimento Analberto Ian de Oliveira , Silva Jakeline Florêncio da , Silva Edcarlos Camilo da , Silva Hilderlande Florêncio da , Nascimento Luciana Cordeiro do , Camili Elisangela Clarete
Published: May 2024

O Brasil possui uma grande diversidade de frutas nativas com grande potencial a serem exploradas, dentre elas podemos destacar a mangaba (Hancornia speciosa Gomes). A mangabeira possui frutos característicos da região Nordeste e apresenta excelentes atributos sensoriais e nutritivos, sendo também utilizado na industrialização para extração de compostos naturais com alto potencial farmacológico, por isso o interesse científico pela cultura vem aumentando cada vez mais nos últimos anos. O objetivo deste estudo foi avaliar o progresso da pesquisa, tendências e os pontos críticos sobre a cultura da mangabeira no período de 2012 à 2023. A revisão sistemática foi estruturada em setembro de 2023 com o seguinte termo: “Hancornia speciosa”, prospectado no título, resumo e palavras-chave. Os dados foram processados pelo software R, com auxílio do pacote Bibliometrix e Biblioshiny. A literatura acerca da cultura é composta por um satisfatório número de publicações (290), porém ainda existem temas especializados que necessitam de mais estudos. O Brasil é o país referência em publicações sobre a mangabeira e os periódicos “Revista Brasileira de Fruticultura” e “Bioscience Journal” se destacaram, pela lei de Bradford. As palavras-chave “Hancornia speciosa”, “Apocynaceae”, “Brasil” e “Extrato vegetal” foram identificadas com maior frequência. A crescente aceitação de artigos relacionados a este termo, em periódicos de alta relevância para a comunidade acadêmica, comprova que o progresso nas pesquisas vem gerando resultados de alto impacto para a sociedade, contribuindo assim com o desenvolvimento local, geração de renda para a população e o desenvolvimento de um manejo agronômico cada vez mais assertivo, sustentável e eficaz para as regiões produtoras. Conclui-se que a análise bibliométrica possibilitou identificar tendências para futuras pesquisas sobre a cultura da mangabeira e demonstrou que o termo “Hancornia speciosa” possui elevado interesse pela comunidade científica.
Storage of pitaya (dragon fruit) powder produced by lyophilization
Authors: Lisbôa Jemima Ferreira , Queiroz Alexandre José de Melo , Figueirêdo Rossana Maria Feitosa de , Santos Dyego da Costa , Santos Francislaine Suelia dos , Paiva Yaroslavia Ferreira , Silva Wilton Pereira da , Moreira Inacia dos Santos
Published: May 2024

This study evaluated the stability of integral pitaya pulp powder produced by lyophilization and packed in flexible, heat-sealed, aluminum-laminated packages. The pitaya pulp samples were formulated with 35% maltodextrin (DE = 10) and dehydrated using a lyophilizer. The resulting powders were stored in laminated packages for 60 days under controlled conditions of temperature (30 and 40 °C) and relative humidity (83%). Throughout the storage period, several parameters were assessed at 10-day intervals, including water content, water activity, titratable total acidity, ascorbic acid content, solubility, and color. The laminated packages proved inefficient in preventing water absorption and darkening reactions. Significant changes were observed during the storage tests, including decreases in titratable total acidity, luminosity (L*), red intensity (+a*), ascorbic acid, and solubility. Conversely, there were increases in water content, water activity, yellow intensity (b*), hue angle (h*), and chroma (C*). These findings suggest that the laminated packages were not adequate for maintaining the stability of lyophilized pitaya pulp powder under the tested conditions. The observed changes indicate a decline in the quality of the powder, likely due to moisture absorption and subsequent chemical reactions affecting the color and nutritional content. Further research is needed to identify more effective packaging solutions to enhance the storage stability of lyophilized fruit powders.
PHILOSOPHY AND THE STUDY OF GLOCALIZATION
Authors: MAKRIDIS ODYSSEUS
Published: May 2024

Within the bosom of the humanities philosophy reposes and, as an academic field, it is ever so often criticized for its aloofness. In a recent book, Roudometof and Dessi (2022, 9-10) politely quip that philosophy’s engagement with the “glocal” has been “resilient,” transacted mostly “without encroaching on other fields.” Philosophy’s ostensible remoteness stems in part from its institutional affiliation with, cultivation and deployment of often forbiddingly technical tools of logical analysis. Although the academic field comprises a manifold of specialities, with resentment often arising against prohibitively technical branches, I narrow my focus to an understanding of “philosophy” as an activity engrossed in logical analysis, and I will plead as defence of this avowed postulation that by so doing, operationally as it were, I can argue that philosophy can make critical and salutary contributions to the burgeoning field of glocalization studies, which is so ably canvassed in the book edited by Roudometof and Dessi. Notwithstanding the promissory note offered above, and since my definition of philosophy may seem unduly restrictive, it is incumbent on me to disambiguate across related notions and to make an initial case as to both the plausibility and arguable pay-offs from taking philosophy in the way I just adumbrated. This is a substantive issue as it relates to a case I will be making as to what philosophy may have to offer to the study of glocalization.