bluuebunny/crossref_metadata_2025 huggingface dataset:
Greedy regression and differential convex-based deep learning for audio event classification
Authors: Sangeetha J. , Priyanka M. , Jayakumar C.
Published: October 2023

Audio Event Detection (AED) and classification of acoustic events has become a notable task for machines to interpret the auditory information around us. Nevertheless, it has been a difficult and cumbersome task to extract the most basic characteristics of acoustic events that encapsulate the fundamental elements of the audio events. Previous works on audio event classification utilized supervised pre-training as well as meta-learning approaches that happened to depend on labeled data therefore facing instability. Deep Learning is progressing in an increasingly mature direction, and the application of deep learning methods to detect acoustic event has become more and more sought after. The proposed hybrid method called Greedy Regression-based Convolutional Neural Network and Differential Convex Bidirectional Gated Recurrent Unit (GRCNN-DCBGRU) is introduced to learn a vector representation of an audio sequence for Audio Event Classification (AEC). Differential Convex Bidirectional Gated Recurrent Unit is analogous to long short-term memory and involves time-cyclic long-term dependencies with a lesser processing complexity. The model first extracts acoustic features from the sound event dataset through a Differential Convex Bidirectional Gated Recurrent Unit employing Gabor Filter bank features and then extracts the local static acoustic features through the Greedy Regression-based Convolutional Neural Network by utilizing Mel Frequency Cepstral Coefficients (MFCC). Finally, the Differential Convex Meta-Learning classifier is used for the final acoustic event classification. Extensive evaluation on large-size publicly available acoustic event database like Findsounds2016 will be performed in Python programming language to demonstrate the efficiency of the proposed method for the AEC task. To demonstrate the visualizations of individual modules and their influence on overall representation learning for AEC tasks, several parameters like audio detection time, audio detection accuracy, precision, and recall are measured.
Automated classification of MRI images for mild cognitive impairment and Alzheimer’s disease detection using log gabor filters based deep meta-heuristic classification
Authors: Shanthi A.S. , Ignisha Rajathi G. , Velumani R. , Srihari K.
Published: October 2023

In older people, mild cognitive impairment (MCI) is a precursor to more severe forms of dementia like AD (AD). In diagnosing patients with primary AD and amnestic MCI, modern neuroimaging techniques, especially MRI, play a key role. To efficiently categorize MRI images as normal or abnormal, the research presents a machine learning-based automatic labelling system, with a focus on boosting performance via texture feature analysis. To this end, the research implements a preprocessing phase employing Log Gabor filters, which are particularly well-suited for spatial frequency analysis. In addition, the research uses Gray Wolf Optimization (GWO) to acquire useful information from the images. For classification tasks using the MRI images, the research also make use of DenseNets, a form of deep neural network. The proposed method leverages Log Gabor filters for preprocessing, Gray Wolf Optimization (GWO) for feature extraction, and DenseNets for classification, resulting in a robust approach for categorizing MRI images as normal or abnormal. When compared to earlier trials performed without optimization, the proposed systematic technique shows a significant increase in classification accuracy of 15%. For neuroimaging applications, our research emphasizes the use of Log Gabor filters for preprocessing, GWO for feature extraction, and DenseNets for classification, which can help with the early detection and diagnosis of MCI and AD.
Factors influencing proxy online health information seeking among the elderly: A study from the perspective of the elderly with chronic illnesses
Authors: Xu Wen-Bo , Lu Zhi-Zeng , Mu Lan
Published: October 2023

BACKGROUND: With the ageing population in China and an increasing number of the elderly developing chronic illnesses, health services for the elderly have become a major concern. They have significant needs for health information (HI) such as online medical consultation, disease prevention, and medical insurance. OBJECTIVE: To explore the influencing factors and their relative significance in proxy online health information (OHI) seeking among the elderly with chronic illnesses so as to provide a reference for enriching theoretical research and optimizing care for the elderly with chronic illness. METHODS: Twenty-three elderly people with chronic illnesses participated in semi-structured in-depth interviews in this study. The interview transcripts were subject to three levels of coding (open, axial, and selective coding) based on grounded theory to determine the factors influencing proxy OHI seeking among the elderly and to understand how the main categories are interconnected. We used the interpretive structural modeling (ISM) process to analyze the hierarchy and associated pathways among the factors influencing proxy OHI seeking. RESULTS: From our analysis, we identified four main categories affecting proxy HI seeking: the health status, emotional needs, electronic HI literacy, and self-efficacy of the elderly. There were six subcategories that could be further subclassified into direct factors, key factors, and root factors, which constituted the hierarchical model of influencing factors. CONCLUSION: We found that proxy HI seeking among the elderly was directly triggered by self-efficacy and emotional needs following changes in their evaluation of health information and emotional needs, which originates from their perceptions of their health, concerns about their health, and information retrieval capability.
Machine learning aided non-invasive diagnosis of coronary heart disease based on tongue features fusion
Authors: Duan Mengyao , Zhang Yiming , Liu Yixing , Mao Boyan , Li Gaoyang , Han Dongran , Zhang Xiaoqing
Published: October 2023

BACKGROUND: Coronary heart disease (CHD) is the first cause of death globally. Hypertension is considered to be the most important independent risk factor for CHD. Early and accurate diagnosis of CHD in patients with hypertension can plays a significant role in reducing the risk and harm of hypertension combined with CHD. OBJECTIVE: To propose a non-invasive method for early diagnosis of coronary heart disease according to tongue image features with the help of machine learning techniques. METHODS: We collected standard tongue images and extract features by Diagnosis Analysis System (TDAS) and ResNet-50. On the basis of these tongue features, a common machine learning method is used to customize the non-invasive CHD diagnosis algorithm based on tongue image. RESULTS: Based on feature fusion, our algorithm has good performance. The results showed that the XGBoost model with fused features had the best performance with accuracy of 0.869, the AUC of 0.957, the AUPR of 0.961, the precision of 0.926, the recall of 0.806, and the F1-score of 0.862. CONCLUSION: We provide a feasible, convenient, and non-invasive method for the diagnosis and large-scale screening of CHD. Tongue image information is a possible effective marker for the diagnosis of CHD.
India and Australia: Strategic Maritime Partners in the Indo-Pacific
Authors:   retired career diplomat and former High Commissioner of India to Australia., Nanda Biren
Published: October 2023

In this article the author analyses the strategic, security and maritime aspects of cooperation between India and Australia and describes how this relationship is underpinned by growing economic and people to people ties. It addresses a number of important questions including, what are the strategic drivers in the Australia-India Relationship? What are the areas of convergence in the strategic outlooks of the two countries? What are the areas of divergence in the strategic outlooks of the two countries? Why both countries must cooperate within the Regional Security Architecture. What are our doubts and reservations about each other? What common challenges are Australia and India likely to face in the future? How can we develop the Regional Security Architecture for the Indian Ocean region? What is the Evolving Asian Maritime Landscape in the Eastern Indian Ocean? How do we assess the development of India-Australia Defense and Security Ties? How has Civil Nuclear Cooperation consolidated the Strategic Ties between the two countries? What are the prospects for India-Australia Economic and People to People Ties? How does India look at Australia?
Strategic Shifts in the Indo-Pacific and India-Australia Partnership
Authors:   PhD is Advisor, Unit for International Cooperation National Institute of Educational Planning and Administration (NIEPA) (Deemed to be University) and Associate Editor, India Quarterly., Chonzom Bhutia Tshering
Published: October 2023

The Indo-Pacific region is believed to be of immense strategic significance given the dynamism of the region in propelling economic growth and cooperation between nations. However, the region has attracted significant attention from major powers and is being reimagined as a contested geo-political space. The emergence of the term has led to a restructuring of the popular perception in which the world has traditionally and strategically perceived this geographical area. This paper delves into the manner in which the India and Australia as important actors in the region conceptualize the ‘Indo-Pacific’ and how it has shaped India-Australia relations.
Determination of the Optimum Mix of Pollution Abatement Methods Used in a Thermal Power Plant – A Case Study
Authors:   Dept. of Mechanical Engg., S.R.K.R Engineering College, Bhimavaram, India., Rao V. Durga Prasada , Reddy N. Siva Rami ,   Dept. of Mech. Engg., Annamacharya Institute of Tech. and Sciences, Rajampet, India., Harsha N. ,   Dept. of Mechanical Engg., S.R.K.R Engineering College, Bhimavaram, India.
Published: October 2023

In a country like India, one of the primary sources of emissions is thermal power plants. A draft regulation has been proposed by the Ministry of Environment and Forests for emission standards in coalfired power plants. This consists of notable reductions in particulate matter (PM), sulphur-dioxide (SO2), and oxides of nitrogen (NOX). The main thrust of this work is the determination of the optimum mix of pollution abatement methods used in a thermal power station near Vijayawada in the state of Andhra Pradesh by using the big – M simplex method of linear programming. The plant has 7 units working under 4 stages with a power capacity of 1,760 MW and generating 42 million kWh electrical energy per day. This case study is focused on the 6th and 7th power generating units of the plant. The abatement methods aimed at SO2, NOX and PM removal consist of taller smoke chimneys; filters such as desulphurisation plant, nitrogen oxides removal plants, and electrostatic precipitators; and better coal. Among these pollution abatement methods, electrostatic precipitators and taller chimneys are already in use at the plant. With the advent of new emission legislations, it is the need of the hour to understand different possibilities for the reduction of SO2 and NOX levels by 90% or more. So, in this study, a combination of desulphurisation, nitrogen oxide removal and better coal methods were added and the optimum mix of the fractional capacities of all these abatement methods were obtained by formulating a linear programming problem and solving it. This study helps in optimizing the maintenance costs of the SO2, NOX and PM removal equipment used in the plant. Also, the optimum solution suggests that a combined fractional use of all the pollution abatement methods helps in reducing the different air pollutants released from the plant, i.e., the emission rate of pollutants can be reduced to the required levels.
Factors Affecting Online Food Purchase Decisions of Urban Consumers
Authors:   Professor & Joint Administrator, Amity School of Economics, Amity University, Noida, India., Indrapurkar Kavita , Kapoor Namita ,   Associate Professor, Amity School of Economics, Amity University, Noida, India., Chaudhary Nandini ,   Student, Amity School of Economics, Amity University, Noida, India.
Published: October 2023

The COVID-19 pandemic has significantly affected consumer behaviour and accelerated the adoption of online food purchasing. Understanding the factors influencing online food purchase decisions of urban consumers in the post-pandemic era is crucial for businesses to adapt to the changing landscape and meet evolving consumer demands. In this regard, the study aims to provide insights into the attitudes, subjective norms, and perceived behavioural control that influence consumers’ intentions to engage in online food purchasing. The findings reveal that these constructs significantly predict intentions to engage in online food purchase; in addition, gender differences were not found to be significant.
Beja video data on the Internet: Local and Global Dimensions of Identity
Authors:   Lomonosov Moscow State University, Anuchin Research Institute and Museum of Anthropology, Mokhovaya st., 11, Moscow, 125009, Russia, Gordeev F.I. , Tutorski A.V. ,   Lomonosov Moscow State University, Faculty of History, Department of Ethnology, Leninskie Gory, 1(12), Moscow, 119192, Russia, Chirkova A.Kh. ,   Lomonosov Moscow State University, Anuchin Research Institute and Museum of Anthropology, Mokhovaya st., 11, Moscow, 125009, Russia,   The Paleoethnology Research Center, Novaya ploshad’, 12/5, Moscow, 109012, Russia
Published: October 2023

Introduction. The article considers the processes of identity manifestation and construction of the Beja people on the Internet. Materials and methods. The study was carried out as part of an interdisciplinary research of the history, anthropology, geology, and ethnography of the Atbay region in northeastern Sudan, initiated by Lomonosov Moscow State University. The authors emphasize the importance of the online space for the identity manifestation of stateless cultures. The analysis of online sources is preceded by a consideration of the historical conditions and special traits of Beja self-perception. Comments from YouTube video hosting users on videos dedicated to the history and culture of the Beja people are involved as sources for the study. Results and discussion. As a result of their analysis, four main patterns of Beja identity are determined: supra-ethnic cooperation with the “Arab world”; the association of Beja with the "pancushitic" community; and "ethnic identity" limited by the boundaries of the Beja community itself. The authors conclude that the Beja identity on the Internet is constructed in two dimensions: "global" and "local". The "global" level is represented by mainly the African diaspora, the "local" one – by Internet resources that are used by residents of the East African region. The findings made in the online study are compared with the ethnographic materials collected by the authors in Atbay region among the Beja Bishariin, physical anthropology data and historical evidence. Some excerpts from an interview with Mr. Onur, who comes from the Beja Ertega tribe (acted as Extraordinary and Plenipotentiary Ambassador of the Republic of Sudan to the Russian Federation until 2022) are also included in analysis. Conclusion. As a result of comparing all types of data, the authors conclude that the Beja identity exhibits a high degree of lability. It is suggested that the reasons for such lability may be related to the historical conditions of the Beja ethnogenesis on the periphery of ancient civilizations and to the significant heterogeneity of the historical population of the Eastern Desert in all the historical periods under consideration. @ 2023. This work is licensed under a CC BY 4.0 license
DEEP PROCESS-DATA MINING FOR BUILDING OF ANALYTICAL MODELS: 1. MEDIUM-TERM FORECAST OF SPRING FLOOD EXTREMES FOR MOUNTAIN RIVERS
Authors:   Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences (IWEP SB RAS), Kirsta Yuri , Troshkova Irina
Published: October 2023

A standard methodology of deep process-data mining for building high-performance process-driven (analytical) models of complex natural systems was proposed. The method- ology (called as system-analytical modeling) is based on a system-hierarchical approach and deep mining of large datasets providing both extraction of the information hidden in such datasets and quantitative characterization of real processes occurring in natural systems. With its help, deep process-data mining of data (1951–2020) on spring flood discharge peaks and troughs (with ice motion) on 34 mountain rivers of the Altai-Sayan mountain country was performed. An analytical hydrological model of high performance (Nash-Sutcliffe criterion NSE = 0.78) was developed for the annual medium-term forecasting of discharge peaks and troughs in April using the data on meteorological conditions of the recent autumn and current winter periods. Flood peaks depend on autumn-winter precipitation (which determines 29% of the peak variance), landscape structure of river basins (14%), and winter air temperatures (0.8%). Spring floods on mountain rivers often threaten the life of local population that makes the developed model topical.
ELECTROMAGNETOELASTIC WAVES IN EARTH’S SUBSURFACE
Authors:   Fluminense Federal Institute, Pinho David da Costa de , Priimenko Viatcheslav ,   Laboratory of Engineering and Exploration of Petroleum of the State University of Norte Fluminense Darcy Ribeiro
Published: October 2023

The propagation of coupled mechanical and electromagnetic waves in a conducting elastic medium when the entire system is in an external magnetic field is considered. We use the mathematical model introduced by Dunkin and Eringen in 1963. The influence of an external magnetic field and medium parameters on the dispersion and attenuation of coupled electromagnetic and elastic waves is analyzed. We also simulated the propagation of coupled mechanical and electromagnetic waves in layered media using the Ursin method with a weak/strong external magnetic field. The results confirmed the effectiveness of using Ursin’s method in modeling magnetoelastic oscillations and can be used to analyze electrodynamic phenomena accompanying disturbances of the geomagnetic field during the movement of the conducting layers of the Earth.
An intelligent technique for network resource management and analysis of 5G-IoT smart healthcare application
Authors: Gupta Neha , Juneja Pradeep Kumar , Sharma Sachin , Garg Umang
Published: October 2023

The transformation of traditional hospitals to a smart healthcare system is a patient-centric, reliable, and smarter way to enhance healthcare facilities for individuals. These healthcare devices are based on the Internet of Things (IoT) and conventional network structures such as 3rd generation (3G) or 4th generation (4G). That did not provide the patient health data in the real-time scenario. Therefore, the integrated 5G-IoT system offers distinct benefits such as remote monitoring, surgery, and real-time data analysis of healthcare system that is operated with slice of dedicated network. It generates huge data with the billions of healthcare equipment that can be evaluated for decision making. This enormous data requires low latency, high-security, capacity, and more reliable techniques for evaluation. In this scenario, network slicing is one of the key solutions that can be considered for isolated end-to-end network structures. Network slicing enables logical and independent network virtual networks to be multiplexed for the same physical network. In this article, we propose an intelligent approach for network resource optimization and analysis of a 5G-IoT based smart healthcare network. We examine the performance of the machine learning algorithm by an automatic model, named A Fast Library for automated machine learning (FLAML). In addition, we perform network slicing to obtain resource optimization in 5G-IoT-based healthcare application.
LCNA-LSTM CNN based attention model for recommendation system to improve marketing strategies on e-commerce
Authors: Sethi Vikas , Kumar Rajneesh , Mehla Stuti , Gandhi Anju Bhandari , Nagpal Shally , Rana Sumit
Published: October 2023

E-commerce industries have grown at an unpredicted and unprecedented rate in the 21st century, booming in the midst of the COVID-19 catastrophe and revolutionizing our way of life. The COVID-19 pandemic has demonstrated the widespread strong uptake of e-commerce. In today scenario, success of any business depends upon e-commerce platform. As e-commerce uses Machine learning algorithms for processing but they also encounter serious issues, i.e., cold start, sparsity, scalability and many more. In this research work, researchers address the cold start issue, as efficiency drops due to new users or lower engagement of users. Same is resolved in proposed LSTM CNN Based Attention Model (LCNA), a Longest short-term memory (LSTM) recurring neural networks, Convolution Neural Network (CNN) and deep attention layer based model for collaborative filtering to solve the problem of cold start for a new user. The proposed model in this study uses deep attention layer for semantic ranking with cosine similarity to improve the recommendation. Proposed framework primarily functions in stages, starting with the creation of interactive map matrices, then improving ranking using CNN, LSTM, and deep attention layer, and concluding with the framework’s prediction of three key metrics: mean absolute error (MAE), root MSE (RMSE), and accuracy. The framework is put to the test in several metrices using various recommender metrics on the electronics dataset from the Amazon dataset.
The Analysis of Land Use Change of Mangrove Ecosystem in Langkat, North Sumatera, Indonesia
Authors: Ginting Surya Dharma , Rauf Abdul , Rahmawaty
Published: October 2023

Mangroves are subtropical and warm temperate intertidal ecosystems that sustain the well-being of humans and wildlife through a variety of services. However, the existence of mangroves is presently threatened by alterations in land use. From 2010 to 2022, mangrove areas in Pasar Rawa Village, Gebang District, Langkat Regency, North Sumatra province have decreased significantly. The destruction of mangrove forests is primarily caused by the neighboring community's activities. The purpose of this study was to assess the level of damage and density of mangroves in Pasar Rawa Village, as well as to examine the perceptions of locals regarding the management of mangrove ecosystems. The investigation was carried out from January to March 2023 by distributing the questionnaires to the 286 respondents. Based on the vegetation analysis and indexing vegetation analysis through Landsat 7 and Landsat 8 image processing, the amount of mangrove areas in Pasar Rawa Village decreased by 52.97 ha between 2010 and 2022, with the majority of mangrove areas being converted into oil palm plantations and fish farming ponds. It is dominated by the dense class of the Normalized Difference Vegetation Index (NDVI) in 2022, despite the condition of the mangroves in Pasar Rawa Village still being classified as damaged during this recovery process. In addition, the outcome of public perception demonstrates that the management of the mangrove ecosystem is suitable and supports the capacity to create a sustainable mangrove ecosystem.
ENERGY TRANSFORMATION IN THE GLOBAL PARADIGM OF SUSTAINABLE DEVELOPMENT
Authors:   Lutsk National Technical University, Liutak Olena , Baula Olena ,   Lutsk National Technical University, Kutsenko Vladyslav ,   Lutsk National Technical University, Ivantsov Serhii ,   University of Customs and Finance
Published: October 2023

The article examines the current trends in the transformation of the global energy market through the prism of sustainable development. The main trends and features of the change in the energy balance of the leading countries of the world are formed, attention is focused on the growing role of renewable energy sources in the overall energy balance. Special attention is focused on the energy transformation of the Ukrainian market, regulatory and legal support in the context of the implementation of the Euro integration course and ensuring sustainable development in the post-war reconstruction.
КОМПЕТЕНТНІСТНИЙ ПІДХІД ЯК БАЗИС ДУАЛЬНОЇ ФОРМИ НАБУТТЯ ФАХОВИХ КОМПЕТЕНЦІЙ У СИСТЕМІ ВИЩОЇ ОСВІТИ
Authors: Іртищева Інна , Надточій Ірина , Крамаренко Ірина
Published: October 2023

Інноваційність управління закладом вищої освіти визначається новими умовами та вимогами до освітньої діяльності з боку держави, суспільства та ринку праці. У зв'язку з цим зростає складність управління освітньою діяльністю, оскільки збільшується кількість зв'язків закладу вищої освіти зі сферою виробництва; зростає необхідність максимально орієнтуватися на актуальні та перспективні потреби ринку праці; виникають нові управлінські функції у зв'язку з використанням дуальної системи навчання. Необхідно зазначити, що саме компетентнісний підхід, що акцентує увагу на результаті дуальної форми здобуття освіти, здатності випускника закладу вищої освіти діяти в різних проблемних ситуаціях, пов'язаних як з професійною діяльністю, так і з життєвим самовизначенням. Метою статті є з’ясувати та охарактеризувати особливості організації науково-дослідницької діяльності здобувачів вищої освіти з урахуванням ідей та положень компетентнісного підходу при організації дуальної форми набуття фахових компетенцій. Визначено, що компетентнісний підхід, що акцентує увагу на результаті дуальної освіти, здатності випускника закладу вищої освіти діяти у різних проблемних ситуаціях, пов'язаних як з професійною діяльністю, так і з життєвим самовизначенням. Доведено, що активізація науково-дослідної діяльності здобувачів вищої освіти в закладах вищої освіти покликана надавати компетентну допомогу та підтримувати ініціативні прояви здобувачів вищої освіти у визначенні своїх науково-дослідних інтересів та знаходженні оптимальної галузі для дослідницької самореалізації, вибудовування взаємозв'язку науково-дослідної діяльності з майбутньою професійною областю.
ІННОВАЦІЙНІ ВЕКТОРИ РОЗВИТКУ ДУАЛЬНОЇ ФОРМИ НАБУТТЯ ФАХОВИХ КОМПЕТЕНЦІЙ ПІД ВПЛИВОМ IV ПРОМИСЛОВОЇ РЕВОЛЮЦІЇ
Authors: Крамаренко І.С.
Published: October 2023

Обґрунтовано інноваційні вектори розвитку дуальної форми набуття фахових компетенцій під впливом IV промислової революції. Проаналізовано сучасний стан використання інформацій систем та технологій закладами освіти. Визначено, що під час пандемії короновірусної інфекції та ведення активних бойових дій на території України все більшої актуальності набуло використання інформаційних технологій для забезпечення освітнього процесу. Визначено, що найбільш актуальними серед закладів освіти у впроваджені освітнього процесу є складні освітні середовищами Moodle та GOOGLE CLASSROOM, використання відеозв’язку (ZOOM, Skype, Meet та інші) та месенджерів (Viber, Messenger, Telegram). Обґрунтовано інноваційні вектори та інструменти розвитку дуальної форми набуття фахових компетенцій під впливом четвертої промислової революції. Визначено, що інноваційними інструментами розвитку дуальної форми набуття фахових компетенцій стане використання Інтернет речей та Штучного інтелекту.
K-Nearest Neighbors Analysis for Public Sentiment towards Implementation of Booster Vaccines in Indonesia
Authors: As'ad Ihwana , Asis Muhammad Arfah , Pakka Hariani Ma'tang , Mursalim Randi , Noor Yusnita binti Muhamad
Published: October 2023

In order to prevent the spread of COVID-19 in Indonesia, the Government of the Republic of Indonesia has been implementing a booster vaccine program since January 12th, 2022, with priority for the elderly and vulnerable groups as well as those who got the second C-19 vaccine longer than 6 months. The implementation of this program raised many pros and cons among public which were expressed either positively or negatively through social media. Therefore, sentiment analysis is needed to examine these phenomenons. This study aims to determine the positive and negative response from public by employing K-Nearest Neighbor method. A total of 2,000 commentary data were collected to be in turn classified based on positive and negative sentiments. There are 500 comments used as training data and divided equally to positive and negative class, each consists of 250 data. Using the value of K = 9, the results show a positive sentiment of 43% while a negative sentiment of 57%. Based on the validity test using 10-fold cross validation, an accuracy of 82.60% was obtained, a recall value was 82.60% with a precision of 83.89%.
PENGUMPULAN BUDAYA LOKAL DENGAN ISLAM DI BAUBAU
Authors: Idham Idham
Published: October 2023

This research is related to the traditions of Haroa Maludu and Ganda Maludu in Baubau and examined from the aspect of the struggle of local culture with Islam. This type of research is qualitative in nature by knowing the implementation of Ganda Maludu related to the Haroa Maludu method. The data collection is done by interview, observation, study documentation and recording. This study found that the local Indonesian culture outside that came with the local culture, there was a compromise between local culture and immigrant culture, there was attraction, there was a process of rejection and acceptance, there was a dynamic acculturation-accommodation and assimilation process and there was a struggle between the two. The culture is Haroa Maludu with the musical accompaniment of Ganda Maludu in Baubau. Haroa Maludu is a way of commemorating the birthday of the Prophet Muhammad, which is typical of Baubau. The findings of this study indicate that the Haroa Maludu ritual tradition in Baubau is divided into three cultural styles, namely 1) Gorona Puta, 2) Haroana Mia Bari, and 3) Maluduana Hukumu.
ACTUALIZATION OF REASONING PHILOSOPHICAL STANDARS IN PERSONAL DATA PROTECTION
Authors: ARIF FIRMAN MUHAMMAD
Published: October 2023

The penetration of technology and information in personal data has been packaged with juridical regulations but has experienced a shift which results in legal inequality, abuse, stigma and criminalization. The reality of advances in information technology ensures that the person is a thief of personal data under the guise of a profession. The existence of personal data is analogous to humans personally who discuss the need for personal data protection. The absence of consensus on the classification of personal data and data protection enlivens the free trade that has the potential to be misused. The utilization of Islamic law methodology as an instrument is assessed to be up to date by elaborating various legal sources in it, such as maslahah mursalah and sadd al zari'ah. The problem of mursalah is realized by government policies that are repressive and advocacy. As for sadd al zari'ah as a preventive effort that silences and closes gaps that have the potential to cause digital crime. Various fiqh principles in politics and siyasa also provide a complete analysis of the substance. The existence of both requires the unification of certainty, justice and legal benefits to be combined. The existence of personal data in the modern world needs to be legitimized and confirmed in the form of regulation and the rule of law. The involvement of the government and stakeholders is absolutely necessary for the design of regulations that are not only administrative in nature but also provide criminal or civil sanctions. The rule of law before or after the formalization of specific regulations regarding the protection of personal data is ensured to guarantee security and comfort.
Analisis Pemangku Kepentingan dalam Pengembangan Energi Terbarukan: Studi Kasus Pembangkit Listrik Tenaga Surya (PLTS) Desa Muara Enggelam
Authors: Barsei Adhityo Nugraha , Saptohadi Joko
Published: October 2023

Desa Muara Enggelam berlokasi di Kabupaten Kutai Kartanegar, Provinsi Kalimantan Timur. Terbatasnya akses listrik menyulitkan masyarakat desa dalam menjalankan aktivitas perekonomiannya. Potensi sumber daya matahari yang melimpah mendorong Pemerintah Kabupaten Kutai Kartanegara melalui Dinas Energi dan Sumber Daya Mineral (ESDM) untuk berinovasi mengembangkan sumber Energi Terbarukan. Berkat upaya tersebut, Desa Enggelam dapat menikmati manfaat dari Pembangkit Listrik Tenaga Surya (PLTS) dengan biaya murah dan dikelola langsung oleh BUMDes “Bersinar Desaku”. Hingga saat ini, masyarakat dapat memaksimalkan aktivitasnya baik di sektor perikanan, pertanian, dan industri rumahan. Pengembangan PLTS Komunal yang berkelanjutan tidak serta merta dapat diwujudkan begitu saja dalam waktu singkat, terdapat sejumlah stakeholdes yang berperan penting dalam pengembangan PLTS Komunal Desa Muara Enggelam. Penelitian mengenai analisis peran stakeholders dalam pengelolaan PLTS Komunal yang berkelanjutan belum pernah dilakukan sebelumnya. Tujuan penelitian ini adalah untuk menganalisis: (1) Siapa saja stakeholders yang terlibat dalam pengembangan PLTS Komunal Desa Muara Enggelam; (2) Bagaimana peran strategis stakeholders tersebut, dan (3) Apa saja faktor – faktor pendukung dan penghambat pengelolaan PLTS Komunal Desa Muara Enggelam. Penelitian ini merupakan penelitian kualitatif deskriptif dengan melakukan wawancara mendalam secara daring, dokumentasi, dan studi literatur. Teknik analisis data menggunakan aplikasi ATLAS.ti dengan berpedoman pada teori mengenai peran stakeholders. Adapun hasil dari penelitian ini adalah terdapat 15 stakeholders yang terlibat secara langsung maupun tidak langsung, baik pemerintah pusat, pemerintah daerah, pemerintah desa, akademisi, BUMDes, swasta, dan kelompok masyarakat. Penelitian ini dapat menjadi masukan dan strategi bagi pemerintah daerah sebagai strategi pengembangan EBT yang berkelanjutan.
TO THE QUESTION OF THE PROBLEM OF DEFINING THE CONCEPT OF “PLANETARISM” AS A NEW RELIGIOUS MOVEMENT WITHIN THE FRAMEWORK OF THE INTERNAL IDEOLOGICAL POLICY OF THE STATE
Authors:   National Research University “Higher School of Economics”, Moscow, Russian Federation, NIKOLAEV N.P. ,   State Duma of the Federation Council of the Russian Federation
Published: October 2023

The purpose of the research. The article deals with the problems of defining the concept of «planetarism» as a new religious phenomenon within the framework of the internal ideological policy of the state, influencing the internal political processes of state administration and the nature of international interaction in the foreign policy arena. The change in the content of the concept of “planetarism” in its historical retrospective is analyzed, demonstrating the process of gradual separation of the concept of “planetarism” from the concept of “globalization” into an independent definition. The aim of the study is to formulate our own definition of the concept of “planetarism” as a new religious movement in the ideological context of state policy. This is necessary to determine the main directions of public administration in the context of value confrontation in the international arena, as well as for more effective legislative support for the implementation of the Decree of the President of the Russian Federation dated November 09, 2022 No. 809 “On Approval of the Fundamentals of State Policy for the Preservation and Strengthening of Traditional Russian Spiritual and Moral Values”. The laws of nature, within the framework of the concept of “planetarism”, began to act as a kind of absolute, which became a kind of scale for the ethical assessment of certain social processes and phenomena, which makes it possible to consider “planetarism” as a new form of religious movement. Conclusions. As a result of the study, the author comes to the conclusion that the ongoing socio-political processes reflect changes in the ideological basis of interstate cooperation. The basis of the new ideological orientation, called “planetarism”, is the idea of the planet Earth as a common “home” for all mankind. Within the framework of the “planetarism” concept, the planet acts not just as a common place of residence for all people, but also as an independent superorganism that has its own consciousness and rights along with the rights of the people themselves. The author, emphasizing the dualistic structure of “planetarism”, which includes, on the one hand, cognitive ideas about the unconditional value of the planet and natural laws, and on the other hand, faith in these values and ideas by analogy with religious faith, proposes to consider “planetarism” as a group of non-theistic beliefs, philosophical and ideological ideas that have arisen around the idea of our Planet as a kind of independent superorganism that gave life to all living things, has the ability of reasonable self-regulation in order to maintain life in all its diversity in accordance with the laws established by it.
INTERCULTURAL DIALOGUE IN THE DIGITAL SPACE AS A FACTOR OF SOCIO-POLITICAL STABILITY
Authors:   Institute of Socio-Political Research of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences (ISPR FCTAS RAS), Moscow, Russian Federation, GADZHIEV KH.A.
Published: October 2023

Intercultural dialogue is the key subject of State national policy in any country. Despite the effects introduced by globalization, blurring unique features and universalizing the value basis of modern life, communities formed on an ethnic, confessional or linguistic basis (cultural communities), for the most part still retain their own identity, strive to maintain their value-behavioral patterns, customs, traditions and foundations. Therefore, the development of principles and management mechanisms capable of ensuring the coexistence of different cultural communities remains relevant for political-administrative systems. This is an essential condition for socio-political stability. The article is aimed at exploring the potential of the digital space for the formation of intercultural dialogue in the digital space contributing to the provision and maintenance of socio-political stability. The paper illustrates promising tools and properties of the digital space for communication and interaction of cultural communities; reflects the prerequisites, outlines the basic contours of intercultural dialogue in the digital space and the possible consequences of its impact on socio-political stability. According to the main conclusion of the analysis, the digital space creates completely new opportunities for building an intercultural dialogue, which political-administrative systems cannot ignore, striving for socio-political stability.
SOCIO-CULTURAL ASPECTS OF THE TRANSFORMATION OF NATIONAL IDENTITY IN THE POST-SOVIET PERIOD: SOCIO-POLITICAL ANALYSIS
Authors:   Institute of Socio-Political Research of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences (ISPR FCTAS RAS), Moscow, Russian Federation, LIKHANOVA T.YU.
Published: October 2023

The purpose of the study is to consider the foundations of national identity, such as historical and cultural memory, which also include the traditional values of society and the attitudes of both society and the state towards them. Consider which values are key-values for Russian society, how actively they are reproduced at the level of cultural translators. Results: the data obtained showed that there is no real consensus in Russian society about a single system of values shared by both society and the state. The policy pursued by the state often contradicts the values declared by the state. It is necessary to take real effective measures in order to bring, first of all, the economic and cultural policy of the state into line with the traditional spiritual and moral values of Russian society. There is an acute contradiction in society between those values that are perceived by society as fundamental, and those values that are transmitted to society, including by the leaders of public opinion who enjoy the greatest confidence. Society is clearly aware of the inconsistency of the current situation with its real needs, as well as the urgent need to implement these values. In particular, this applies to social justice. The lack of consensus makes the field of values open to outside influences, capable of being filled with values from any sources, including foreign elements that consciously or unconsciously destroy the national self-consciousness.
THE RUSSIAN PARLIAMENTARISM AFTER THE 2020 CONSTITUTIONAL REFORM
Authors:   Ogarev Mordovian State University, Saransk, Russian Federation, ZUEV O.E. , BAKHLOV I.V.
Published: October 2023

The article examines the changes in the system of organization of legislative power in the Russian Federation after the adoption of amendments to the 1993 Constitution in 2020. The author analyzes the main aspects of the constitutional transformation of parliamentarism in Russia, studies changes in the powers of the chambers of the Federal Assembly of the Russian Federation, discussions on the formation of new interpretations of public power and governance. The process of state-building and strengthening of the vertical of power is proceeding progressively, systematically, within the framework of the general vector of stable development of the state, as well as branches of government. Based on the results of the study, the author provides an exhaustive assessment of the main results of the constitutional reform in terms of modernizing the model of Russian parliamentarism carried out by the Russian legislator.
ALMAN HUKUKUNDA VE TÜRK HUKUKUNDA HAYVANLARIN KORUNMASININ KARŞILAŞTIRILMASI
Authors: AKBEN Dilara
Published: October 2023

Makalemizde hayvanların korunması konusunda önce Almanya’da sonra Türkiye’de; hayvan hakları kavramının tarihçesi, gelişimi ve ilgili yasal düzenlemeler incelenmiştir. Sonunda ise iki ülkenin hukukunda hayvanların korunması karşılaştırılmıştır. Hayvanların korunması konusuna karşılaştırmalı hukuk yoluyla yeni bir bakış açısı kazandırılması amaçlanmıştır. Hukuk var olduğundan itibaren toplumun davranış ve inançlarını sınırlandırdığı ve yansıttığı için hayvan kimliğinin ve varlığının yasal temellere dayanması hayvanların korunmasında çok önemlidir. Alman hukukunda hayvanlara sui generis bir kategori oluşturulmuştur ve eşya sayılmadığı kabul edilmiştir ancak aksine bir kanuni düzenleme bulunmadığı takdirde hayvanlara eşyalara dair hükümlerin uygulanacağının düzenlenmiş olması, eşya kabul edilmeyişi göstermelik hale getirmektedir. Türk hukukunda hayvanlar hakkında özel kanun hükümleri uygulanmaktadır, eşya olarak değerlendirilmemektedirler ancak mevzuatta bu konuda açık bir düzenleme olmadığından eşyalara uygulanan hükümler kıyas yoluyla uygulanmaktadır. Günümüz hukuk sistemlerinde genel olarak kabul edildiği üzere, Almanya ve Türkiye’de de hayvanlara eziyet çektirme gibi davranışlar, kabul gören yerleşik hayvan kullanım pratiklerinin dışına çıkarıldığında hukuka aykırı kabul edilmektedir. Hayvanlardan kazanç sağlanan; yemek, eğlence, giyim veya deney gibi sektörlerdeki kullanım biçimleri acıya ve ölüme sebebiyet verse bile hukuka uygun kabul edilmektedir. Kanaatimce her iki ülkede de hayvanların korunması ile ilgili mevzuat, hayvanlara özel bir hukuki kişilik kazandırılmasının ardından yeniden düzenlenmelidir.
Towards a post-humanist design for educational inclusion
Authors: Swillens Viktor , Decuypere Mathias , Vandenabeele Joke , Vlieghe Joris
Published: October 2023

In this contribution to the special issue on adult education, inclusion and justice we discuss how an inclusive pedagogy can foster a more just way of inhabiting litter polluted living environments, in which the interests of both human and non-human dwellers are taken into consideration. More precisely, we theorize how arts can function as study material and enable a collective sensitivity for the ways in which (non-)human entities (e.g., fishermen, seals, birds, litter pickers, tourists, plastic producers) constitute a ‘sick’ habitat. Based upon our theory-driven participatory action research with adult inhabitants of the litter polluted Belgian coast, we conclude that a study pedagogy has the power to constitute collective events of emancipation in which inhabitants of damaged living environments can start to inhabit these places, i.e., they become (more) attentive to the reciprocal relationships with other human and non-human entities and respond accordingly with care towards these entanglements.
Quantifying Reliability Indices of Garbage Data Collection IOT-based Sensor Systems using Markov Birth-death Process
Authors: Kumar Pardeep , Kumar Amit
Published: October 2023

The aim of this paper is to analyze the performance of a Garbage data collecting sensor network system (GDCSNS) through mathematical modelling and a reliability approach. The reliability assessment of such a system is essential to ensuring that it can collect data related to garbage at different locations consistently and accurately. After the determination of the reliability measures of the system, the next aim is to identify the weakest sensors of the system so that a timely maintenance strategy for the weakest sensor can be planned to avoid disruption in the collection of data from the sensor systems. In the considered system, three sensors have been installed at various location in the city that send the information to the center office (hub point) and then from the center office to the person who is responsible for collecting the garbage from the location and dumping it at some predefined places. These sensors collect data related to garbage level, weight, and other information and send it to computers at the city's central office. Markov modelling has been used to model the system. Based on the mathematical model, a state transition diagram and a set of Kolmogorov time-dependent differential equations have been obtained. The various state probabilities (explicit expressions) related to the performance of the system, namely, Reliability, Mean time to failure, have been obtained to understand the different maintenance policies that can be used. A sensitivity analysis has also been performed to determine the weakest sensor among the sensors.