bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH ATTACHMENT STYLE TERHADAP CELEBRITY WORSHIP PADA DEWASA AWAL PENGGEMAR SELEBRITI KOREA DI KARAWANG
Authors: Wina Lova Riza  , Puspa Rahayu Utami Rahman  , Ririn Widiyanti
Published: August 2023

Celebrity worship is excessive obsessive behavior towards idol celebrities, one of the influencing factors is attachment style, the level of security experienced in interpersonal relationships. The purpose of this study was to examine the effect of attachment style on celebrity worship in early adulthood Korean celebrity fans in Karawang. The method in this study uses a quantitative method, with the sampling technique used in this study is quota sampling (non-probability). Based on the Lemeshow formula with a minimum count of 96 respondents needed, 172 early adult respondents were Korean celebrity fans in Karawang as the research sample. Analysis of research data using simple linear regression test to determine the value of the celebrity worship variable (Y) which is influenced by the attachment style variable (X). The results obtained with a significant value of 0.000 <0.05. So the hypothesis of this study is that Ha is accepted and H0 is rejected, which means that there is an influence between attachment style to celebrity worship in early adulthood Korean celebrity fans in Karawang. The results of the coefficient of determination test obtained indicate that attachment style contributes 28.1% influence on celebrity worship and the other 71.9% is influenced by other variables not examined in this study.Keywords: Celebrity worship, attachment styles, early adulthood

Celebrity worship adalah perilaku obsesi berlebih terhadap selebriti idola, salah satu faktor yang mempengaruhi adalah attachment style yaitu tingkat keamanan yang dialami dalam hubungan interpersonal. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh attachment style terhadap celebrity worship pada dewasa awal penggemar selebriti Korea di Karawang. Metode dalam penelitian ini menggunakan metode kuantitatif, dengan teknik sampling yang digunakan dalam penelitian ini adalah sampling kuota (nonprobability). Berdasarkan rumus Lemeshow dengan hasil hitungan minimal 96 responden yang dibutuhkan, di dapatkan 172 orang responden dewasa awal penggemar selebriti Korea di Karawang sebagai sampel penelitian. Analisis data penelitian menggunakan uji regresi linier sederhana untuk mengetahui besaran nilai variabel celebrity worship (Y) yang di pengaruhi oleh variabel attachment style (X). Hasil yang di dapat dengan nilai signifikan sebesar 0,000 < 0,05. Maka hipotesis penelitian ini adalah Ha diterima dan H0 ditolak, yang berarti terdapat pengaruh antara attachment style terhadap celebrity worship pada dewasa awal penggemar selebriti Korea di Karawang. Hasil dari uji koefisien determinasi yang diperoleh menunjukkan bahwa attachment style memberikan sumbangan pengaruh sebesar 28,1% terhadap celebrity worship dan 71,9% lainnya dipengaruhi oleh variabel lain yang tidak diteliti di penelitian ini. Kata Kunci: Celebrity worhsip, attachment styles, dewasa awal
Optimization of Melanoma Skin Cancer Detection with the Convolutional Neural Network
Authors: Kekal Harming Puja , Saputri Daniati Uki Eka
Published: August 2023

Currently, skin cancer is a very dangerous disease for humans. Skin cancer is classified into many types such as Melanoma, Basal and Squamous cell carcinoma. In all types of cancer, melanoma is the most dangerous and unpredictable disease. Detection of melanoma cancer at an early stage is useful for effective treatment and can be used to classify types of melanoma cancer. New innovations in the classification and detection of skin cancer using artificial neural networks continue to develop to assist the medical and medical world in analyzing images precisely and accurately. The method used in this research is Convolutional Neural Network (CNN) with MobileNet model architecture. Skin cancer detection consists of five important stages, namely image database collection, preprocessing methods, augmentation data, model training and model evaluation. This evaluation was carried out using the MobileNet method with an accuracy of 88%.
Mulberry Affects
Authors: Yıldırım Umut
Published: August 2023

How can the Armenian genocide be considered in terms of its ecological roots and remnants? Umut Yıldırım explores the more-than-human flora and fauna indigenous to the banks of the Tigris river in Upper Mesopotamia — in particular, centenarian mulberry trees — as resistant roots that register the evidentiary ecologies of the Armenian genocide through the Turkish state’s denialist present and its ongoing war against the Kurds.
Who’s Afraid of Ideology?
Authors: Arsanios Marwa
Published: August 2023

Artist Marwa Arsanios shares textual fragments from research she conducted for the first and second parts of a video trilogy titled Who’s Afraid of Ideology? Meditating on the voiding effects of war, and the ecological and affective texture of communal resistance and eco-feminist praxis as they emerge in Iraqi Kurdistan, Lebanon, and northern Syria, the text takes us to ecological milieux made of wild medicinal plants, fig trees, Kurdish guerrillas, and farmers in a women-only commune.
The Use of ELSA Speak as a Mobile-Assisted Language Learning (MALL) towards EFL Students Pronunciation
Authors: Sholekhah Miratu Fitria , Fakhrurriana Ria
Published: August 2023

This study analyses how students' pronunciation can be improved through the use of the ELSA Speak as a Mobile-Assisted Language Learning (MALL) tool. ELSA stands for English Language Speech Assistant. The speech recognition function of ELSA Speak is powered by artificial intelligence (AI), and it provides users with feedback to help them improve their pronunciation, which improves their ability to speak English. This study investigates the influence and potential of the ELSA Speak application on the acquisition of pronunciation by employing a qualitative research method and a strategy that relies on library research. The findings highlight the significance of having an excellent content design, an efficient pedagogical and instructional design, gamified learning elements, automatic voice recognition technology, a secure learning environment, and individualised digital feedback. The findings of the study indicate that there is considerably significant potential for the ELSA Speak application to help students improve their pronunciation skills. The consequences of this research emphasize the necessity of utilising cutting-edge mobile applications for language learning and highlight the possible benefits for students interested in improving their pronunciation proficiency.

Keywords: Elsa Speak; Mobile-Assisted Language Learning; Students' Pronunciation; Pronunciation Improvement.
Strategies and Challenges in Teaching Speaking by English Tutors: A Study in Madani Super Camp English Classes
Authors: Sukmojati Edi , Ribahan Ribahan , Rahmat Hery
Published: August 2023

Speaking is an important skill needed in communication and requires good training as well as professional and experienced English tutors. The speaking tutors will encounter various difficulties and need to employ effective teaching strategies to overcome them. This study aimed to find out the types of challenges faced by the English tutors in the Madani Super Camp (MSC) Course Narmada in teaching speaking and the types of learning strategies applied by the tutors to overcome the challenges in teaching speaking. This qualitative descriptive research involved eight English teachers in the MSC Course Narmada as respondents. The data were obtained by using closed-ended questions and semi-structured interviews, which were transcribed descriptively. In addition, the data analysis used is data reduction, data display, and conclusion drawing. The results of the research showed that the tutors faced five challenges in teaching English, including a lack of student discipline, additional work, a lack of self-confidence, a lack of technical teaching, and controlling the classroom and class management. The researcher reveals the research findings related to the learning strategies applied by the tutors to overcome the challenges in teaching speaking ability, including discussion and classroom interaction, storytelling, classroom practice, games, and picture descriptions.

Keywords: Tutors’ Challenges; Tutors’ Strategies; Teaching Speaking.
Profit Analysis to an Industrial System Possessing Active Redundancy form Using Geometric Distribution
Authors: Pankaj  , Bhatti Jasdev , Kumar Kakkar Mohit
Published: August 2023

This paper elaborates on the approach towards reliability analysis for the active redundant system with a dual nature of repair strategy according to the kind of failure. The reliability characteristics using regenerative techniques are analyzed stochastically for the system, which includes two parallel units acting in an active redundancy form. A transition model has been designed for the working mechanism discussed in the paper and evaluated with the help of a geometric distribution possessing distinct repair. Regenerative techniques and geometric distribution were used to derive the numerical equations for reliability parameters such as availability, mean time to system failure, and repair mechanisms following down period of the system. A graphical analysis of the repair/failure rate with respect to the profit function has also been presented.
Biomonitoring of Benthic Organisms for Coastal Protection: A Checklist Study from Pantai Remis and Blue Lagoon on the West Coast of Peninsular Malaysia
Authors: Ahmad Wakid Sarini , Syazwan Wan Mohd , Abd Aziz Nor Azwady , Mustafa Muskhazli , Okamura Hideo , Horie Yoshifumi , Ong Meng Chuan , Ismail Mohamad Saupi , Setyawan Ahmad Dwi , Chew Jia Ming , Yap Chee Kong
Published: August 2023

The objective of the study was to provide an updated checklist of benthic marine organisms in Pantai Remis (Selangor) and Blue Lagoon (Negeri Sembilan) in November 2022. The research areas comprised a total of 26 species of marine benthic organisms, which were divided into 12 orders, 18 families, and 22 genera. Benthic macrophytes formed the largest group (11 species), followed by other benthic macrofauna (molluscs, with eight species). In addition, three coral species, two gastropods, and two crabs were also recorded. The findings revealed that both sites are fertile and suitable habitats for marine benthic organisms. The established checklist of benthic organisms can serve as an ongoing basis for future reference as part of our efforts to develop coastal marine ecosystem management and conservation on the west coast of Peninsular Malaysia. In summary, the checklist of benthic organisms provides the basic information that is much needed for the protection of coastal ecosystems.
Guidelines for Development of Accommodations Business for Foreign Tourists to Support the Thai Tourism Industry in the Digital Age
Authors: Ramart Prahuschai , Sawangrat Nilawan , Silpcharu Thanin
Published: August 2023

This research aimed to study the development of a structural equation model for the accommodation business for foreign tourists, to support the Thai tourism industry in the digital age. Both qualitative and quantitative research methods were used. Quantitative data was collected using questionnaires from 500 entrepreneurs or executives responsible for accommodation businesses in Thailand. Descriptive statistics, reference statistics, and multiple statistics were used for data analysis. The results showed that the guidelines for the development of accommodation businesses for foreign tourists, in order of priority, are: 1) marketing communication (X̅ = 4.31), 2) service quality (X̅ = 4.30), 3) innovation and technology (X̅ = 4.28), and 4) business network (X̅ = 4.24). The hypothesis testing results indicated that resort and hotel businesses pay attention to the development of accommodation businesses for foreign tourists and that the difference was statistically significant at 0.05. The analysis of the developed structural equation model passed the evaluation criteria and was consistent with the empirical data. The probability of chi-squared was 0.144, the relative chi-squared was 1.118, the corresponding index was 0.965, and the root mean squared error was 0.015.
The Effect of Error Correction on Taiwanese EFL Students’ Writing Accuracy
Authors: Tseng Chia-Ti
Published: August 2023

This paper aims to investigate the effect of teacher’s error correction feedback on EFL students’ ability to correct their own writing errors for better accuracy. It intends to find out whether the instructor’s explicit error feedback followed by students’ extensive revisions, has any effect on students’ ability in revising their errors with their own writing pieces. A group of nineteen EFL Taiwanese college students, with low to intermediate English level proficiency, participated in this study. The results indicated that the effect of teachers’ error feedback on students’ ability to self-correct was not significant. Most of the errors, after given extensive feedback and revision, were not significantly revised after a three-month interval. The result of this case study tends to support the claim that teachers’ error feedback does not help much with EFL students improving their writing accuracy. Other findings regarding students’ interpretation towards their writing errors and unsatisfactory self-correction results and teacher’s perspective and observation are discussed.
University Students’ Endeavors in Oral Midterm and Final Examinations
Authors: Ramos Ian Done D.
Published: August 2023

Oral exams are oftentimes a dilemma for some students despite enough training. In this paper, student participants were asked how they performed in weekly speaking-based activities and oral exams, what specific difficulties they encountered, and what ways they could develop fluency by using a Likert-based survey method with quantitative and qualitative results. It was found that the students performed moderately well. However, the professor's 1) class activity management and 2. feedback and students' 3) self-awareness, 4) oral exam challenges, and 5) speaking fluency improvement need a revisit for quality teaching and learning. The results would provide the vehicle for understanding some issues in teaching and learning which require compensatory techniques to increase their oral exam performances to an excellent rating among these factors. This paper also offers insights to guide professors or teachers in developing materials and teaching techniques so that students can further improve their fluency in the target language.
Procedimiento activo para la transición del lápiz a esfero en niños
Authors: Lema Jerez Alisson Solange , Rivera Yanzapanta Carlos Patricio , Chango Merino Clara de Lourdes , Tobar Escobar Betty Paulina , Escobar Castro Andrés David
Published: August 2023

La presente investigación tiene por propósito, aplicar un procedimiento activo para la transición del lápiz a esfero en los niños, para empezar, el proceso de enseñanza aprendizaje con los primeros trazos del niño en el que se utiliza el lápiz para que vaya adquiriendo motricidad fina, aquí, se coordina músculos, huesos y nervios, para producir movimientos precisos, el aprender a escribir requiere de habilidades motoras finas, de la misma forma, se requiere conocer cómo se debe escribir una determinada palabra, entre otras habilidades que están relacionadas con la lecto-escritura. Objetivo aplicar un proceso pertinente para el aprendizaje de la transición del lápiz a esfero.  Método se realizó un estudio de tipo cualitativo-cuantitativo aplicado en el año lectivo 2022-2023, se utilizó la encuesta para la obtención de datos que permitieron su análisis e interpretación de resultados, aplicado a una población estudiantil de 54 estudiantes. Resultados el aprendizaje es progresivo debiendo fortalecerse en las primeras etapas la manera adecuada de manipular el crayón o lápiz, en lo cual, en niño explora sus habilidades, en el proceso de tareas dirigidas como: trazo de líneas, círculos, letras, dibujos, labores que fortalecen la coordinación, posteriormente, en el desarrollo de la enseñanza, el niño adquiere un dominio motriz, forma letras con precisión y dibujos. Conclusiones una correcta forma de mantener el lápiz es importante, puesto que, son movimientos pequeños y precisos que requieren de exactitud, para concluir, se ratifica que el ser humano primeramente desarrolla las habilidades motoras gruesas y luego desarrolla las habilidades motoras finas.
Identification of Respondent Characteristics and Relationship of Clinical Manifestations with Chest Radiograph Lesion in Pulmonary Tuberculosis Patients at Aloei Saboe Hospital
Authors: Lukum Elen , Paramata Nanang Roswita , Sadjar Moh Rizal F S
Published: August 2023

Introduction: Tuberculosis (TB) is an infectious infectious disease caused by Mycobacterium tuberculosis. This study aimed to determine the relationship between clinical manifestations and the results of chest radiographs in adult pulmonary TB patients at Aloei Saboe Hospital.Method: The research design used in this study was cross-sectional by examining the relationship between clinical manifestations and chest radiography results in adult pulmonary TB patients at Aloei Saboe Hospital from October to November 2022. The population of this study was adult pulmonary TB patients using accidental sampling as a sampling technique. The research instrument used was the medical record which contained the patient's anamnesis status and the results of the chest radiography examination. The relationship between variables was then analyzed using the Kolmogorov-Smirnov test.Results: Of the 44 samples, the most common clinical manifestations were dyspnea and chest pain in 12 patients (26.67%). The most chest radiographic results were fibrotic in 21 patients (47.7%). According to the American Thoracic Association (ATA) classification, extensive lesions were predominantly found in 21 patients (47.7%). There was an association between productive cough and chest radiography results (p=0.012). Meanwhile, chest radiographs were not associated with productive cough, hemoptoe, and dyspnea.Conclusion: There is a relationship between productive cough and chest radiography lesions. Further study may determine samples for research that are minimally biased so that the results obtained are more representative of the population.
Thymoma radiotherapy: a retrospective multicentre study
Authors: ARAL İpek Pınar , ALTINIŞIK İNAN Gonca , AYRAK Fatma Betül , YAŞAR DAŞGIN Feyza , ASLAN Nalan , LEHİMCİOĞLU Yillar , YILDIRIM Fatma , AKINCI Muhammed Bülent , TEZCAN Yılmaz
Published: August 2023

Aims: In this study, we aimed to evaluate the outcomes of thymoma patients who underwent radiotherapy (RT).

Methods: Data from thymoma patients who underwent RT at Ankara Bilkent City Hospital, Ankara Atatürk Education and Research Hospital and Ankara Numune Education and Research Hospital were analysed retrospectively. The primary endpoints of this study were acute and late side effects and the secondary endpoints were overall survival(OS) and disease-free survival(DFS).

Results: Data from 22 patients who received RT between 10.03.2008 and 05.10.2022 were analysed.The median follow-up time was 33 months (range: 1–76). RT-related acute toxicity was observed in 6 patients(27.3%). Late RT-related toxicity was noted in 4 patients (18%). As a late toxicity one patient (4.5%) had a secondary malignancy five years after RT.Patients younger than 40 years of age had significantly higher acute (p=0.039) and late (p=0.01) toxicity. Recurrence was observed in 7 patients (31.8%). The median DFS was 13 months (range: 1–176),the 1-year DFS was 58%, the 5-year DFS was 23%. Lower DFS was observed in patients with myasthenia gravis (MG) (p=0.018). Six patients(27.3%) died, the median OS was 33 months (range: 1–176),the 1-year OS was 84.4%, the 5-year OS was 76.7%. There was a significant correlation between performans status and OS (p=0.047).

Conclusion: Side effects were more frequently observed in patients younger than 40 years of age. Poor prognostic factors were identified as MG for DFS and poor performance status for OS. Thymoma patients have high OS, studies are needed to identify subgroups that do not require RT.
Matrix Spherical Functions for $(\mathrm{SU}(n+m),\mathrm{S}(\mathrm{U}(n)\times \mathrm{U}(m)))$: Two Specific Classes
Authors:   Radboud University Nijmegen,The Netherlands, Liu Jie
Published: August 2023

We consider the matrix spherical function related to the compact symmetric pair $(G,K)=(\mathrm{SU}(n+m),\mathrm{S}(\mathrm{U}(n)\times\mathrm{U}(m)))$. The irreducible $K$ representations $(\pi,V)$ in the ${\rm U}(n)$ part are considered and the induced representation $\mathrm{Ind}_K^G\pi$ splits multiplicity free. In this case, the irreducible $K$ representations in the ${\rm U}(n)$ part are studied. The corresponding spherical functions can be approximated in terms of the simpler matrix-valued functions. We can determine the explicit spherical functions using the action of a differential operator. We consider several cases of irreducible $K$ representations and the orthogonality relations are also described.
Life history and biogeography of the enigmatic mantid Nilomantis floweri (Mantodea, Nanomantidae)
Authors: Mirzaee Zohreh , Sadeghi Saber , Ballarin Francesco , Schmitt Thomas , Simões Marianna , Wiemers Martin
Published: August 2023

The biology and distribution patterns of the Sahelian mantid species Nilomantis floweri are still insufficiently known. For the first time, records are confirmed of this species from Iran and the distribution map of its native range is updated. Records are compiled from the Sahel zone of North Africa, the Arabian Peninsula, and Iran. Detailed information on its biology, oothecal characteristics, male genitalia variation, and intraspecific molecular diversity in the mitochondrial gene cytochrome c oxidase are provided, and ecological niche modelling was used to gain insight into the overall species distribution and understand its climatic niche limits. Genetic analysis revealed only one haplotype shared between Iran and Oman. The Iranian populations likely represent two distinct clusters, both more related to the diverse Oman haplotypes than to each other. Based on new data, N. floweri appears to be mostly associated with coastal areas in southwestern Asia, with the vast majority of records found along the Red Sea, Persian Gulf, and Oman Gulf coasts. This distribution contrasts markedly with N. floweri records in the Sahel, where most collections have been reported in the transitional zone between the southern Sahara and arid thorn savannah, far off the coast. This study contributes to a comprehensive understanding of this still enigmatic mantid species.
Fractional resolvent family generated by normal operators
Authors: Li Chen-Yu
Published: August 2023

The main focus of this paper is on the relationship between the spectrum of generators and the regularity of the fractional resolvent family. We will give a counter-example to show that the point-spectral mapping theorem is not valid for $ \{S_{\alpha}(t)\} $ if $ \alpha \neq 1 $; and we show that if $ \{S_{\alpha}(t)\} $ is stable, then we can determine the decay rate by $ \sigma(A) $ and some examples are given; we also prove that $ S_{\alpha}(t)x $ has a continuous derivative of order $ \alpha\beta > 0 $ if and only if $ x \in D(I-A)^{\beta} $. The main method we used here is the resolution of identity corresponding to a normal operator $ A $ and spectral measure integral.
An Artificial Intelligence Model for Effective Routing in WSN
Authors: Kalyanaraman Kswaminathan
Published: August 2023

In WSN, sensor nodes will be distributed heterogeneity concerning their basic requirements such as location, power backup, and the distance between the nodes. With these metrics, research is carried on energy conservation, media-based problems, packet aggregation, effective routing, quality of link, etc. But the energy consumption and data processing system in WSN makes a scenario for not using an artificial intelligence (AI)-based system in network structure. In this chapter, a heuristic packet routing (HPR) strategy for effective path identification on the packet transmission between the nodes is given. The proposed methodology also improvises the routing process on diffusion and energy management methodology defined in previous research work. A comprehensive study was done with the help of a network simulator. Based on the result, the work is compared with various research work defined previously.
Optimization of MPPT Controller for Standalone Photovoltaic Systems
Authors: Soni Jatin , Bhattacharjee Kuntal
Published: August 2023

A photovoltaic (PV) system uses the maximum power point tracking (MPPT) controller used in a photovoltaic (PV) system to get the maximum power operating point at different temperatures and irradiance conditions. Several optimization methods from conventional to soft computing methods have been applied to software and hardware platforms to generate duty cycles and optimize fuzzy membership functions. The PV system with partial shading condition is also considered for better tracking of power peaks. Merits and demerits of different MPPT optimization methods have been discussed to conclude better. The results obtained by recently developed algorithms in the MPPT controller have been compared to show better performance and effectiveness of the algorithm. This chapter references undertaking research work to optimize MPPT controllers in PV systems under partial shading conditions.
Real-Time Study and Analysis of Brain Fiber Using 3D-Printed Tractography
Authors: Ramya Lakshmi V. S. , Raajan N. R. , Prabaharan Natarajan , Hariharan K.
Published: August 2023

With the overwhelming success of three-dimensional (3D) modeling technology of patient anatomy, surgeons are able to intuitively understand the most complex morphologies. In this work, the tractography model is constructed by focusing on the sub-voxel asymmetry and fiber consistency to enhance cortical tractography with strongly bent axonal trajectories which help to identify the fiber track by using the diffusion tensor imagining (DTI) method. The DTI algorithm is compared with the other tracking algorithms and the track parameters for different patients are compared. It is proven that the DTI method provides higher accuracy of 96.76% in tracking the cross fibers. The Y-axis dispersion for the different regions of interest from the tract center is measured. The tract amplitudes at this separation are decreased by 75% from the peak value. The 3D model is printed using an ultimate 3D printing machine at a diameter of about 0.025 mm at a low cost with high accuracy.
A Comparative Analysis on Image Processing-Based Algorithms and Approaches in Healthcare
Authors: Talwar Rajneesh , Sharma Manvinder , Singh Harjinder , Sagar Prem
Published: August 2023

Image processing has become an important tool in medical applications, with the ability to extract and analyze information from medical images. This chapter provides an overview of various image processing approaches used in medical applications, including deep learning algorithms, segmentation techniques, and a combination of both. The authors also discuss several studies on brain tumor detection, cancer detection, and X-ray analysis using image processing techniques. The studies demonstrate the potential of image processing techniques to significantly improve the accuracy and speed of disease detection, allowing for earlier diagnosis and treatment. Image processing techniques can also assist in treatment planning and lead to more informed diagnoses and treatment decisions. Continued research in this area will undoubtedly lead to even more advanced and sophisticated approaches to image processing, further enhancing the ability of healthcare professionals to diagnose and treat a wide range of medical conditions.
AI-Based Quality Inspection of Industrial Products
Authors: Devasena D. , Dharshan Y. , Vivek S. , Sharmila B.
Published: August 2023

Quality is the keyword for Industry Revolution 4.0, as industries have moved from product based to customer-based manufacturing. People have started moving towards the quality rather than the cost of the product. The automobile section is deemed to be a major manufacturing sector as multiple components required for assembling final product. Bearing is a major component in the engine to operate the piston. The inspection of component done 100% manually where time is high, in turn delay in dispatch. A proposed automated machine vision system (MVS) is used to identify missing operations, also detect scratches in surface of the component. The algorithm is developed using LabVIEW, in which detection-based algorithm is implemented to detect the missing operations in the component. An artificial intelligent (AI) based algorithm is proposed for detecting the scratches that occurred due to the manufacturing process/mishandling of component. The implemented algorithm has shown better results compared with the manual process, as inspection time has reduced, and the number of components inspected has increased.
Applications of Artificial Intelligent and Machine Learning Techniques in Image Processing
Authors: Boopathi Sampath , Kanike Uday Kumar
Published: August 2023

This chapter explores the role of AI and machine learning (ML) in image processing, focusing on their applications. It covers AI techniques like supervised learning, unsupervised learning, reinforcement learning, and deep learning. AI techniques include rule-based systems, expert systems, fuzzy logic, and genetic algorithms. Machine learning techniques include SVM, decision trees, random forests, K-means clustering, and PCA. Deep learning techniques like CNN, RNN, and GANs are used in tasks like object recognition, classification, and segmentation. The chapter emphasizes the impact of AI and ML on accuracy, efficiency, and decision-making. It also discusses evaluation metrics and performance analysis, emphasizing the importance of selecting appropriate metrics and techniques. The chapter also addresses ethical considerations, such as fairness, privacy, transparency, and human-AI collaboration.
Exudate Detection in Fundus Images Using Deep Learning Algorithms
Authors: Shanthi T. , Anand R. , Pandey Binay Kumar , Nassa Vinay Kumar , Shahul Aakifa , George A. S. Hovan , Dadheech Pankaj
Published: August 2023

Diabetic Retinopathy (DR) affects people who have diabetes mellitus for a long period (20 years). It is one of the most common causes of preventable blindness in the world. If not detected early, this may cause irreversible damage to the patient's vision. One of the signs and serious DR anomalies are exudates, so these lesions must be properly detected and treated as soon as possible. To address this problem, the authors propose a novel method that focuses on the detection and classification of Exudateas Hard and soft in retinal fundus images using deep learning. Initially, the authors collected the retinal fundus images from the IDRID dataset, and after labeling the exudate with the annotation tool, the YOLOV3 is trained with specific parameters according to the classes. Then the custom detector detects the exudate and classifies it into hard and soft exudate.
Image Processing in Industrial Chemical Engineering Trends and Applications
Authors: Walke Santosh , Mandake Manoj , Tapre Ravi W. , Naniwadekar Makarand , Thakar Chetan , Jadhav Sandhya Dilip
Published: August 2023

This chapter gives a thorough overview of image processing's uses and potential in industrial chemical engineering. Image processing can provide precise and in-depth information about chemical processes, products, and its significance in this field is highlighted. The foundations of image processing are covered in this chapter, including image formation and acquisition, image preprocessing, feature extraction, and selection. The applications of image-based process monitoring and control, image analysis for product quality control, and the newest developments and difficulties in machine learning in image-based chemical engineering are also covered. The section on machine learning in image-based chemical engineering gives a general overview of machine learning methods and how they are used in the field of chemical engineering. The chapter's discussion of image processing's limitations in chemical engineering, as well as current trends and future research prospects, come to close.
Visual Cryptographic Shares Using Color Components
Authors: Samanta Sabyasachi , Jana Priyatosh , Sarkar Abhijit , Ghosh Soumen
Published: August 2023

Visual cryptography is an excellent cryptographic method by which the visual information is encrypted and decrypted with or without using of computer systems depending on the human visual system. In visual cryptography techniques, the carrier (with secret information) is divided into multiple shares, in particular any one of which does not reveal any knowledge about the secret information. In this chapter, a newly color component-based visual cryptographic technique, i.e., image share formation for image and video, has been introduced. As video is a sequential amalgamation of image frames, the same has also been implemented for video. In this time, the method supports the {k, n} threshold framework. Out of n transparencies, using k number of shares, the reformation is possible. Using the image, shares data may be embedded to different shares using steganography or watermarking techniques. Furthermore, some suitable comparisons also have been performed to measure the newly developed technique.
Social Media and Gen Y at Work
Authors: Vyas Pallavi Ghanshyala , Priya Swarn
Published: August 2023

Workplaces have been revolutionized by two factors: the rise of the Millennial age into the workforce and the emergence of online social networking tools as a means of connecting and collaborating with others. With the increasing penetration of technology in the form of artificial intelligence, IOT, 5G networks, and varied forms of social media, it is opportune for organizations to understand their impact on the current workforce. This research examines how Gen Y (millennials) use social media at work and their consequences on firms. Millennial employees seek organizational benefits such as increased knowledge sharing, work-related learning, employee engagement, and bridging social capital. The antecedents and consequences of social media use by Gen Y employees have been explained according to the uses and gratifications (U&G) theory.
Artificial Intelligence (AI) Opportunities and Challenges of Green Marketing Tourism
Authors: Suryani Wan , Luthfiyyah Azilla
Published: August 2023

Technology is experiencing a revolution that is bringing about a new era successful in changing many tasks that have been manual processes into jobs with artificial intelligence (AI) that mimic human functions in solving cognitive problems and offer the same transformative potential to replace more potential tasks and activities. Human beings in various industrial, intellectual, and social applications. This era of AI technology has surprised us with new breakthroughs in learning and decision-making and raises new challenges and opportunities for sustainable innovation in green tourism marketing. The development of AI in Indonesia is more rapid as there are many internet users. Based on the results of a survey by the Internet Service Providers Association (APJII) in the 2022-2023 period, it was recorded that there were 215.63 million people. This number increased by 2.67% compared to the previous period in 2020-2021 of 210.03 million users.
Machine Learning-Based Distributed Denial of Services (DDoS) Attack Detection in Intelligent Information Systems
Authors: Alhalabi Wadee , Gaurav Akshat , Arya Varsha , Zamzami Ikhlas Fuad , Aboalela Rania Anwar
Published: August 2023

The danger of distributed denial of service (DDoS) attacks has grown in tandem with the proliferation of intelligent information systems. Because of the sheer volume of connected devices, constantly shifting network circumstances, and the need for instantaneous reaction, conventional DDoS detection methods are inadequate for the IoT. In this context, this study aims to survey the current state of the art in the topic by reading relevant articles found in the Scopus database, with a brief overview of the IoT and DDoS as this study examines neural networks and their applicability to DDoS detection. Finally, a decision tree-based model is developed for the detection of DDoS attacks. The analysis sheds light on the present trends and issues in this field and suggests avenues for further study.
Covid-19 e influência da restrição social na atividade física de crianças e adolescentes
Authors: Andrade Milani Suedem , Borges Xavier da Rosa João Vítor , Pereira Alcantara Junior Ricardo , Dos Santos Guilherme , Dios Carril Filho Ricardo , Carrara Paulo , Hervaldo Nicolai Ré Alessandro
Published: August 2023

Os objetivos deste estudo foram verificar a influência dos procedimentos adotados para conter a pandemia da covid-19 nos níveis de atividade física (AF) de crianças e adolescentes e verificar se há diferenças entre os sexos e faixas etárias. Foi realizada uma revisão rápida de literatura, com busca em periódicos disponíveis nas bases de dados PubMed, Scopus e Web of Science, utilizando as palavras-chaves: Crianças, Adolescentes, Exercício Físico, Atividade Física e Covid-19. Dos 449 estudos identificados, 17 foram selecionados pelo critério de conter dados referentes a antes e durante o período de restrição social no mesmo estudo. Com exceção de um artigo, a síntese dos resultados indicou diminuição dos níveis de AF e aumento do tempo em atividades de tela durante o período de restrição social, em maior proporção para adolescentes e para o sexo feminino. Os resultados são mais próximos entre países da mesma região do que entre diferentes continentes, devido às diferenças no ambiente sociocultural em que os jovens vivem, incentivados principalmente pelos seus responsáveis. Do ponto de vista da saúde pública, deve existir uma preocupação com a continuidade desse padrão de comportamento após o término da pandemia, o que aumentaria ainda mais o risco de problemas já existentes, como atrasos no desenvolvimento motor, sobrepeso, obesidade, doenças cardiovasculares e diabetes na vida adulta.
Sports management research: analysis of scientific development in Portugal (2008-2017)
Authors: Teixeira Mário , Rijo Vasco , Sesinando André
Published: August 2023

Scientific research in the field of sports management and its respective academic improvement has been pointed out and recognised by several authors as the path to follow for a better understanding of its importance in the global development of sport, as well as in the improvement of academic curricula and skills of sports managers. This study aims to analyse the scientific and academic production of three Portuguese public universities, being this the main source and origin of the knowledge generated over the last decades. Methodologically, we analysed 193 master dissertations successfully completed between 2008 and 2017 available in institutional scientific repositories, as well as in the national library. The results point to a growth of scientific knowledge in Portugal, validated by the considerable evolution in the number of completed works in distinct areas in sports management, mainly in the scope of planning and strategy, human resources and sociological aspects, which helps to reinforce its multidisciplinary and differentiating character. The data obtained allow us to expose a considerable part of the knowledge produced in Portugal, thus contributing to the strengthening of some areas and future research in sports management, given that it is crucial to aggregate the existing knowledge by enhancing new paths and future opportunities. We conclude that research in Portugal reflects the global growth of scientific knowledge and the increasing interest in sports management, both at qualitative and quantitative levels, while also following international concerns and trends.
Coping in soccer athletes: A systematic review
Authors: Silva Adson Alves da , Freire Gabriel Lucas Morais , Fortes Leonardo de Sousa , Moraes José Fernando Vila Nova de , Carvalho Rodrigo Gustavo da Silva , Nascimento Junior José Roberto Andrade do
Published: August 2023

Objective: Review the studies that investigated coping in soccer. Methods: A systemic search was carried out in the following databases: Pubmed, Web of Science, Scielo, Scopus, PsychINFO and SPORTDiscus. The descriptors related to the terms (Coping skills, Sport and Football) were verified in the MeSH (Medical Subject Headings) database. The inclusion criteria used were: Empirical studies published in journals peer-reviewed scientific papers; b) Studies published from December 2014 to December 2019; c) with at least one quantitative measure; d) Studies with samples of soccer athletes; and e) Articles with specific reference to the topic 'Coping skills'. Results: The results showed that coping skills interact with important variables for good performance in elite soccer, such as competitive level, sports talent, psychopathologies, age group and sex. More specifically, it was noted that the development of some coping strategies, such as facing adversity, trust/motivation and performance under pressure, are potentially common to these variables. Conclusion: It is concluded that the development of some coping strategies is fundamental to the elite athlete, since it is positively associated with the optimal development of most of the variables analyzed in the synthesized studies.
A review of the Discrete Element Method/Modelling (DEM) in agricultural engineering
Authors: Guo Qing , Xia Huihuang
Published: August 2023

With the development of high-performance computing technology, the number of scientific publications regarding computational modelling of applications with the Discrete Element Method/Modelling (DEM) approaches in agricultural engineering has risen in the past decades. Many granular materials, e.g. grains, fruits and soils in agricultural engineering are processed, and thus a better understanding of these granular media with DEM is of great significance in design and optimization of tools and process in agricultural engineering. In this review, the theory and background of DEM have been introduced. Some improved contact models discussed in the literature for accurately predicting the contact force between two interacting particles have been compared. Accurate approximation of irregular particle shapes is of great importance in DEM simulations to model real particles in agricultural engineering. New algorithms to approximate irregular particle shapes, e.g. overlapping multi-sphere approach, ellipsoid, etc. have been summarized. Some remarkable engineering applications of the improved numerical models developed and implemented in DEM are discussed. Finally, potential applications of DEM and some suggested further work are addressed in the last section of this review.
Serum interleukin-6 and high sensitivity c-reactive protein levels and their correlation with the vitiligo disease activity and extent: A cross-sectional study of 58 patients
Authors: Uttmani Bhargavi M , Adya Keshavmurthy A , Inamadar Arun C
Published: August 2023

Background:

Vitiligo is an acquired depigmenting disorder due to the destructive loss of melanocytes, clinically presenting as hypopigmented or depigmented macules and/or patches. Many theories have been proposed to explain its etiopathogenesis among which cell-mediated immunity is one of the crucial links. Estimation of vitiligo activity and extent in a patient is important in tailoring an optimal treatment regimen. Interleukin-6 (IL-6) and high-sensitivity C-reactive protein (HsCRP) are sensitive indicators for systemic inflammation and are found to be relevant in determining vitiligo disease activity.

Objective:

This study was conducted to estimate serum levels of IL-6 and HsCRP in vitiligo patients and to correlate them with the disease activity and extent in order to assess if these serum markers serve as objective indicators of vitiligo disease activity.

Materials and Methods:

This was a hospital-based cross-sectional study of 58 vitiligo patients diagnosed clinically irrespective of age, gender, and any ongoing or past treatment. Disease activity and extent were calculated using the vitiligo disease activity (VIDA) score and vitiligo area severity index (VASI), respectively. Serum levels of IL-6 and HsCRP were obtained and their correlation with VIDA and VASI values were statistically analyzed.

Results:

A weak negative statistically insignificant correlation was found between IL-6 and VIDA (P= 0.092). No correlation was found between VIDA and HsCRP (P= 0.998). A weak positive, statistically insignificant correlation was found between VASI and IL-6 as well as between VASI and HsCRP (P= 0.175 andP= 0.238, respectively). Although statistically insignificant, the patients who were not on immunosuppressive therapy showed higher mean values of IL-6 and HsCRP compared to those who were on immunosuppressive therapy.

Conclusion:

In contrast to the findings of previous studies, our study found a weak negative correlation between VIDA and IL-6 levels possibly attributable to the difference between the mean levels of IL-6 among the subgroups of patients who were, and were not on immunosuppressive therapy. The VIDA score and HsCRP levels did not show any statistical correlation. However, patients who were not on immunosuppressive therapy showed a higher albeit statistically insignificant mean value of HsCRP. Our observations suggest that any ongoing and/or treatment in the recent past, especially immunosuppressive therapy, and any co-morbidities should be essentially considered while investigating for sensitive serum markers of inflammation as determinants of vitiligo disease activity.
Power and Weakness of Postcolonialism
Authors: Markedonov S.
Published: August 2023

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Ideologeme of Justice and Anticolonial Discourse as Justification for Türkiey’s Foreign Policy
Authors: Tsibenko V. V.
Published: August 2023

The article critically examines how Türkiey justiﬁes its proactive foreign policy through the concept of justice. The study analyzes Turkish discourse, blending Islamic teachings with an anticolonial stance, to characterize the understanding of justice. Initially used to legitimize opposition against secular elites, justice now serves as a tool for global leadership, mediation in conﬂicts involving Muslims, and regional focus on post-Ottoman states. It counters political opponents, gains negotiating advantages in EU accession talks, supports aspirations for a UN Security Council seat, and extends military presence beyond the region. The study concludes that justice grants moral legitimacy to Türkiye’s foreign policy decisions, particularly resonating with Muslim audiences.

Rooted in Islamist principles and an anticolonial discourse, Türkiye positions itself as a just leader opposing historical oppression by the West. The concept of justice is crucial in shaping Türkiye’s foreign policy, establishing its authority as a just and moral actor internationally. By leveraging justice, Türkiye aims to assert leadership, mediate conﬂicts, and prioritize historically signiﬁcant regions. Understanding the ideologeme of justice provides insights into Türkiye’s strategic decision-making and its aspiration for a just and inﬂuential role globally.