bluuebunny/crossref_metadata_2025 huggingface dataset:
Pharmacokinetic Analysis of the Bioavailability of AQUATURM®, a Water-Soluble Curcumin Formulation in Comparison to a Conventional Curcumin Tablet, in Human Subjects
Authors: Muench Gerald
Published: September 2024

Curcumin, extracted from the Curcuma longa rhizome, has gained substantial attention for its anti-inflammatory, antioxidant, and neuroprotective properties. Despite these potential benefits, its low bioavailability limits its usage and potential in clinical settings. To overcome these limitations, novel formulations have been developed using liposomal, nanoparticular and micellization technologies to improve bioavailability. The current randomized, double-blind, crossover, pharmacokinetic study compared AQUATURM®, a novel, patented water-soluble formulation, to another commercially available and widely used curcumin supplement in 12 human subjects over a 12-hour period separated by a 7-day washout period. Plasma samples were analyzed by tandem mass spectrometry detection (UPLC-MS/MS). The area under the plasma concentration-time curve indicated that the bioavailability of AQUATURM® was over 7-fold greater than that of the other curcumin supplement, reaching concentrations up to 20 ng/mL for up to 12-hours. This study demonstrates AQUATURM®’s superior bioavailability to that of another, conventional, widely used curcumin supplement.
Job Stress, Burnout, and Turnover Intention of Clinical Research Associates
Authors: Kwon Eunok , Kim YoungWoo
Published: September 2024

Objective: This study aimed to analyze the general characteristics, job stress, burnout, and turnover intentions of Clinical Research Associates (CRAs). Our objective was to provide a reference point for devising strategies to reduce CRA turnover and burnout rates. Methods: A descriptive, quantitative, and correlative research design was used. A total of 126 CRAs completed a questionnaire that consisted of 115 items, with 21 items on general characteristics, 60 items on occupation-al role, and 10 items on personal strain in job stress. The Burnout Inventory scale was used to investigate 22 items of burnout, and turnover intentions was measured using a 5-item scale. Results: Of the 126 participants, 63 (50%) answered that they intended to leave their job within 1 year & the most of participants were nurse (n = 56, 44.4%). Job stress related to the occupational role of CRA’s vocational stress (r = 0.518), burnout (r = 0.406), and turnover intention (r = 0.181) of personal strain were correlated with each other. Job stress due to personal strain had an explanatory power of 18.7% as a factor influencing turnover intention. Conclusions: To reduce the turnover intention of CRAs, who play an important role in clinical research, it is necessary to find ways to re-duce job stress and burnout.
Tuning the Learning Principle: Social Media Usage Moderates the Curvilinear Relationship Between Supervisor Workaholism and Subordinate Job Performance
Authors: Wu Tonglin , Hao Xuguang , Si Jia
Published: September 2024

While being a workaholic supervisor may be viewed as admirable due to their commitment to work, existing findings on its effects on subordinates are mixed. Drawing upon the principle learning perspective and activation theory, we propose a curvilinear relationship between supervisor workaholism and subordinate job performance and investigate the moderating role of subordinate social-related social media usage. Specifically, we suggest that subordinate job performance increases (decreases) as supervisor workaholism increases from low (moderate) to moderate (high) levels and that this inverted U-shaped relationship becomes flatter when subordinates have higher social-related social media usage. The results, based on a multi-source survey collected from 321 supervisor-subordinate dyads, support the predictions. Our research moves beyond linear thinking and suggests that there exists an optimal level of supervisor workaholism that maximizes subordinate job performance. We also provide insights into the ongoing debate and potential ethical concerns surrounding whether employees should use social media at work. Implications for practice and future research are discussed.
Machine Unlearning Application for CNN, DNN and GNN
Authors: Milner Larry
Published: September 2024

Machine unlearning, the process of removing the influence of specific data points from trained machine learning models, has become increasingly important in light of modern data privacy regulations, such as the GDPR and the "right to be forgotten." This paper explores the challenges and solutions associated with implementing machine unlearning in three widely used neural network architectures: Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), and Graph Neural Networks (GNNs). Each of these networks presents unique challenges due to their distinct architectures and learning processes. Techniques such as selective retraining, influence functions, and knowledge distillation have been proposed to address these challenges. The paper also introduces the concept of full parameter unlearning, which adjusts all trainable parameters using two key techniques: gradient ascent based on first-order information and Fisher information based on second-order information. These methods ensure comprehensive unlearning, but also introduce computational complexity. We discuss examples, potential solutions, and future research directions to make full parameter unlearning more scalable and efficient, thus providing a framework for balancing data privacy with model performance.
Enhanced Investment Prediction via Advanced Deep Learning Ensemble
Authors: Sang Ningjing , Cai Wenxiu , Yu Chang , Sui Mujie , Gong Hao
Published: September 2024

Accurate prediction of investment returns is crucial for financial decision-making. Traditional models often struggle with the complexity and variability inherent in financial data. This article presents an advanced predictive model integrating three deep neural networks, pretraining, and ensemble learning to enhance prediction accuracy. By leveraging a combination of DNNs for handling different complexities of data, and a CNN for efficient feature extraction, our approach significantly outperforms traditional methods. Our model incorporates sophisticated data handling techniques, including extensive preprocessing and data augmentation, and benefits from pretraining and ensemble methods to improve robustness and performance. This comprehensive framework offers a robust solution for investment return prediction, addressing the shortcomings of existing models and providing enhanced accuracy and reliability.
Fusion of Visual and Textual Data for Enhanced Semantic Representations
Authors: Sterling Lyra , Vale Kairos , Martinez Ava
Published: September 2024

Generic text embeddings have demonstrated considerable success across a multitude of applications. However, these embeddings are typically derived by modeling the co-occurrence patterns within text-only corpora, which can limit their ability to generalize effectively across diverse contexts. In this study, we investigate methodologies that incorporate visual information into textual representations to overcome these limitations. Through extensive ablation studies, we introduce a novel and straightforward architecture named VisualText Fusion Network (VTFN). This architecture not only surpasses existing multimodal approaches on a range of well-established benchmark datasets but also achieves state-of-the-art performance on image-related textual datasets while utilizing significantly less training data. Our findings underscore the potential of integrating visual modalities to substantially enhance the robustness and applicability of text embeddings, paving the way for more nuanced and contextually rich semantic representations.
Remote Sensing in Space Analog Missions for Future Life Support Systems
Authors: Kołodziejczyk Agata Maria , Harasymczuk Mateusz Matt
Published: September 2024

Human space exploration is evolving, with private and government organizations working to develop the new generation of astronauts and technology for future colonization of the Moon and other extreme locations. The coming decade is promising, which is reflected in a number of emerging habitats to simulate analog missions around the world. Analog missions have always been at the forefront of advancing knowledge and now this method is widely used by space enthusiasts and professionals. The Analog Astronaut Training Center is designed to simulate one of the major challenges of human space exploration, namely isolation with limited resources, and focuses on collecting data based on various parameters such as environment, physiology and psychology. The environmental monitoring of the habitat conditions is remotely controlled, allowing the Mission Control Center to receive the mission data in real time. The data obtained, together with physiological and psychological inputs, allow monitoring of human adaptations to limited resources and sustainable living in extreme conditions. This paper presents an overview of the sensors used and the data collected during organized analogue simulations, which help to optimize the design of future life-support systems.
PROBLEMATIKA HUKUM DALAM PERTANGGUNGJAWABAN PERDATA ATAS TINDAKAN WANPRESTASI PENJUAL DI MARKETPLACE
Authors: Nadeak Samuel Hosea , Tejomurti Kukuh
Published: September 2024

Artikel ini bertujuan untuk mengetahui permasalahan permasalahan yang menjadi penghalang dalam menuntut pertanggungjawaban atas tindakan wanprestasi penjual di marketplace. Artikel ini termasuk jenis penelitian hukum normatif dengan sifat preskriptif untuk menghasilkan konsep baru dalam mengatasi masalah yang dihadapi. Data yang digunakan merupakan data sekunder, yaitu data yang diperoleh melalui pengkajian pustaka pustaka yang ada. Teknik pengumpulan bahan hukum dengan studi pustaka (library research). Hasil penelitian menunjukkan bahwa transaksi jual beli di marketplace memudahkan para pengguna sebab penjual dan pembeli tidak perlu bertemu secara langsung. Namun, di sisi lain hal ini menimbulkan permasalahan apabila penjual melakukan tindakan wanprestasi, maka dalam mendapatkan pertanggungjawaban pihak pembeli masih kerap menghadapi permasalahan dalam mendapatkan pertanggungjawaban atas tindakan wanprestasi penjual.
DEVELOPMENT OF A METHOD FOR ASSESSING THE ADEQUACY OF A COMPUTER SYSTEM MODEL BASED ON PETRI NETS
Authors: Shyman Anna , Kuchuk Nina , Filatova Anna , Bellorin-Herrera Oleksandra
Published: September 2024

Topicality. The purpose of modeling any system using a Petri net is to study the behavior of the modeled system based on the analysis of the defined properties of the Petri net. Therefore, it is necessary to develop a method for assessing the adequacy of the model, based on the assessment of the degree of its correspondence to the behavior of the system. The object of research is the behavior of a system model built using a Petri net. The subject of the research is the value of the deviation of the simulated processes from the real values. The goal of the research is to develop a method for assessing the adequacy of the description of the dynamics of the researched process in a model of a computer system based on Petri nets. Results obtained. A mathematical model is built, which is determined by the number of system states. In the model, options for the analysis of the state trace of the system are considered. Analysis of the adequacy of the synthesized model and its refinement are carried out according to the developed iterative algorithm. The option of testing the hypothesis regarding the Markov nature of the processes of changing system states is considered in detail. For this, appropriate statistical criteria are proposed. Considered example of evaluation of a given path of states. To test the proposed method, a study of the management algorithm of the metropolis's transport system was conducted. The simulation results practically coincided with the real results. Conclusions. The developed method makes it possible to assess the adequacy of the model based on Petri nets with accuracy to the entered assumptions. The method allows timely background history of dynamic processes and justify the choice of its length. The method also allows reducing the possibility of an irrational increase in the size of the synthesized model.
DECOMPOSITION OF INTEGRATED HIGH-DENSITY IoT DATA FLOW
Authors: Kuchuk Heorhii , Kalinin Yevhen , Dotsenko Nataliia , Chumachenko Igor , Pakhomov Yuriy
Published: September 2024

Topicality. The concept of fog computing made it possible to transfer part of the data processing and storage tasks from the cloud to fog nodes to reduce latency. But in batch processing of integrated data streams from IoT sensors, it is sometimes necessary to distribute the tasks of the batch between the fog and cloud layers. For this, it is necessary to decompose the formed package. But the existing methods of decomposition do not meet the requirements for efficiency in high-density IoT systems. The subject of study in the article are methods of decomposition of integrated data streams. The purpose of the article is to develop a method of decomposition of an integrated data stream in a dense high-density Internet of Things fog environment. This will reduce the processing time of operational transactions. The following results were obtained. The concept of decomposition of integrated information flows in the foggy layer was implemented to transition from the batch mode to the flow mode of task processing. Within the framework of the concept, a method of selecting elementary task flows from an integrated flow is proposed. An algorithm for decomposition of the integrated flow of tasks is proposed. Conclusion. A comparison of the proposed method of processing information flows in the foggy environment of high-density IoT with the existing approach is carried out. The results of the comparison showed that the proposed method is more suitable for deployment in conditions of limited network and computing resources. It is advisable to use it on nodes of fog computing systems with a high density of IoT sensors.
SEQUENTIAL INTRUSION DETECTION SYSTEM FOR ZERO-TRUST CYBER DEFENSE OF IOT/IIOT NETWORKS
Authors: Sobchuk Valentyn , Pykhnivskyi Roman , Barabash Oleg , Korotin Serhii , Omarov Shakhin
Published: September 2024

Relevance. The Internet of Things (IoT) and the Industrial Internet of Things (IIoT) and their widespread application make them attractive targets for cyber attacks. Traditional cybersecurity methods such as firewalls and antivirus software are not always effective in protecting IoT/IIoT networks due to their heterogeneity and large number of connected devices. The zero-trust principle can be more effective in protecting IoT/IIoT networks. This principle assumes on no inherent trustworthiness of any user, device, or traffic, requiring authorization and verification before accessing any network resource. This article presents a zero-trust-based intrusion detection system (IDS) that uses machine learning to secure IoT/IIoT networks. The aim of this article is to develop a two-component IDS for detecting and classifying cyber-attacks. The study utilizes machine learning techniques, such as Decision Tree, Random Forest, and XGBoost, on the Edge-IIoTset dataset. The following results were obtained. The IDS structure proposed here employs a sequential approach that consists of two AI modules. The first module detects attacks using a simpler model like Decision Tree. The second module uses more complex models like Random Forest or XGBoost to classify attack types. Experimental evaluation on the Edge-IIoTset dataset demonstrates the system's effectiveness, with an overall accuracy of 95% and significantly reduced response time compared to single complex model systems. Conclusion. The proposed design for an Intrusion Detection System (IDS) achieves high accuracy in detecting attacks while maintaining optimal performance and minimizing additional computational costs. This is especially crucial for real-time network monitoring in IoT/IIoT environments. Further research can focus on the practical implementation of the proposed IDS structure for physical realization in securing IoT/IIoT networks based on the zero-trust principle.
The Influence of Capital Adequacy Ratio (Car), Loan to Deposit Ratio (Ldr) And Non-Performing Loan (Npl) on Profitability
Authors: Reza Ramadhan
Published: September 2024

This research aims to analyze the influence of Capital Adequacy Ratio (CAR), Loan to Deposit Ratio (LDR), and Non-Performing Loans (NPL) on the Profitability of Banks listed on the Indonesia Stock Exchange in the period 2019 - 2021. The data used in this research was obtained from Banking Financial reports published by the Indonesian Stock Exchange. After carrying out the purpose sampling techniques, a suitable sample of 41 banks was used. The data analysis technique in this research uses multiple regression analysis. The type of data used is secondary data which is obtained by collecting all the necessary data in the form of financial reports for each sample company in each research period, so to determine the accuracy of the model it is necessary to test several classic assumptions underlying the regression model. Classical assumption tests used in this research include the normality test, multicollinearity test, heteroscedasticity test, and autocorrelation test. Based on the research results, it shows that the Capital Adequacy Ratio (CAR), Loan to Deposit Ratio (LDR), and Non-Performing Loans (NPL) have a simultaneous and significant effect on the profitability of banks listed on the Indonesian Stock Exchange.
Work Stress Analysis of Employees at PT Manusia Alam Indonesia
Authors: Parhusip Viola Taruli Manna , Marsofiyati  , Ervina Maulida
Published: September 2024

Every company needs Human Resources to achieve the company's goals. Therefore, every company must pay attention to its employees by providing a comfortable and fair work environment to all employees. This study aims to analyze the factors that cause work stress in employees of PT. Manusia Alam Indonesia and the methods used to overcome work stress.
This research method uses descriptive qualitative research, with data collection techniques through observation, interviews, and documentation. The informants consisted of several employees of PT. Manusia Alam Indonesia who are selected purposively based on employee experience related to work stress. Accompanied by data analysis, starting from data collection, data presentation, and drawing conclusions.
From the results of the study, it can be seen that the factors that cause work stress at PT. Manusia Alam Indonesia include, high work demands, tight deadlines, and a less conducive work environment. High work demands often make employees feel overwhelmed with excessive workloads, tight deadlines force employees to work quickly and often reduce employee rest time which has an impact on physical and mental fatigue, a less conducive work environment such as lack of support facilities and unsupportive colleagues are the cause of stress. And to overcome work stress is carried out individually and organizationally. Individual approaches that employees take include, walking, exercising, watching concerts, regulating breathing, seeking fresh air, eating, accessing social media, and taking adequate breaks. Meanwhile, the company's organizational approach to employees includes, vacations and joint sports, health insurance, and a clear evaluation and division of duties.
The Influence of Work Environment on Employee Performance at PT XYZ Through Work Discipline
Authors: Adinegoro Wicaksono  , Busharmaidi
Published: September 2024

Abstract
The industrial growth in Indonesia has experienced significant progress, especially in the automotive sector, which has greatly contributed to the country's economy. One of the companies operating in the automotive industry is PT XYZ, which focuses on heavy machinery in the fields of mining, construction, and energy—sectors that require strong and reliable heavy equipment support. In providing the best service to the public, PT XYZ is supported by the performance of its employees, particularly those in the Human Capital division who manage all employees at PT XYZ to ensure a well-organized operation that maintains the expected service quality. However, maintaining the stability of all employees' performance at PT XYZ has revealed that Human Capital employees are experiencing performance instability. This can be observed in the 32 (thirty-two) employees in the Human Capital division who have fluctuating performance and attendance rates. This research aims to determine the relationship and influence of the work environment on employee performance through work discipline at PT XYZ. Data collection for this research was carried out by distributing questionnaires to the 32 (thirty-two) employees/workers in the Human Capital division at PT XYZ. This study uses path analysis methods with the SPSS version 26 application.
Keywords: Work Environment; Employee Performance; Work Discipline
Social Capital and Economic Development of the Miduana Indigenous Village Community
Authors: Alwiyasa Rahmatul Khalik
Published: September 2024

This research examines the role of social capital in supporting community economic development in Miduana Indigenous Village, Cianjur. Social capital, which includes social networks, norms and trust that facilitate cooperation and collective action, has been shown to promote local economic development. This study uses qualitative methods through observation and semi-structured interviews to find out how social capital affects economic development in Miduana Indigenous Village and how policy interventions and development programs can support the strengthening of social capital in the traditional village. The results showed that the community of Miduana Indigenous Village has a large social capital, which can be seen from the practice of gotong royong that strengthens social ties. Support from the government and non-governmental organizations through education, training and infrastructure development programs also play an important role in strengthening social capital and facilitating economic activities. The research suggests policy implications that highlight the importance of social capital and local assets in determining the direction of economic development. It is emphasized that continued support from local governments in the form of improved education, training, infrastructure development and financial support is essential to improve the welfare of indigenous communities. Thus, social capital can be optimally utilized to achieve sustainable and inclusive economic development in Miduana Indigenous Village.
Analysis of the Satisfaction Level of OVO Application Users in Jabodetabek
Authors: Nur Eko Fikriyadi
Published: September 2024

This research aims to analyze the level of satisfaction of OVO application users in the Jabodetabek area and the factors that influence user satisfaction. The research method used is a quantitative approach with a cross-sectional survey method. The research population consists of individuals who currently or have previously used the OVO application, with a sample of 133 OVO application users in Jabodetabek who were selected using purposive sampling. Data was collected through a questionnaire distributed online via Google Form. The research instrument was tested for validity and reliability. The data analysis techniques used are independent sample t-test, average or mean test, and standard deviation. The research results show that there are varying levels of satisfaction among OVO application users. Several respondents were satisfied with the ease of transactions and attractive promos offered by the application, but there were also aspects that still needed to be improved, such as information presentation and transaction security. Recommendations for further research are to expand the distribution of respondents, increase the sample size, and involve a more comprehensive approach in measuring user satisfaction of the OVO application. It is hoped that this research can provide valuable insight for companies in improving the service quality and user experience of the OVO application in the Jabodetabek area.
Analysis of Youth Satisfaction Levels with Maxim Application in Jakarta Using the Eucs Approach
Authors: Dista Amalia
Published: September 2024

User satisfaction can impact reuse and foster user loyalty. If users feel dissatisfied, they may potentially switch to other competitors. This can impact the sustainability of the company in the future, particularly for Maxim, an online transportation company. Therefore, it is crucial for the company to understand user satisfaction levels to improve specific aspects and achieve desired user satisfaction. This research aims to determine the satisfaction levels of young generation with the Maxim app in Jakarta using the End User Computing Satisfaction (EUCS) approach. EUCS is used to measure the satisfaction of end users with the Maxim application system. An online questionnaire was distributed through Google Form, gathering data from 100 respondents who have used the Maxim app in Jakarta. The data was analyzed using the Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA). From the CSI calculation, it was found that the level of satisfaction of young generation users on the Maxim application in Jakarta obtained the “Satisfied” criteria. Furthermore, IPA results indicated that improving the effectiveness of the screen display and ensuring prompt driver allocation in the app were prioritized for Maxim. Easy menu navigation, user-friendly interface design, easy-to-use features, and displaying real-time information in the app were identified as aspects to maintain, as users rated these aspects as important and satisfied. Thus, this research is expected to assist the company in improving user satisfaction by identifying areas for improvement to increase the effectiveness and quality of user experience when using the Maxim app.
Flypaper Effect Pada Pendapatan Asli Desa, Dana Desa, dan Alokasi Dana Desa Terhadap Belanja Desa di Kabupaten Kudus
Authors: Ulya Fatikhatuddirosatin Nuril , Rakhmawati Ita
Published: September 2024

Village expenditures are all from the village's general cash account which reduces the excess budget balance in the period of the relevant fiscal year for which the village government will not receive repayment. This research aims to empirically prove the influence of PADes, village funds, and village fund allocation on village spending and to prove whether the phenomenon exists or not. flypaper effect from transfer funds. This research is descriptive research with a quantitative approach. The research sample consisted of 121 villages obtained through the purposive sampling technique during the 2019–2022 period. The research data is secondary data obtained from the realization report of the Kudus Regency village income and expenditure budget. The variables in this research consist of independent variables including PADes, DD, and ADD, while the dependent variable is village expenditure. This research uses panel data regression analysis tools with the selected random effect model, which was processed with the help of Eviews 12. The research results show that village original income, village funds, and village fund allocation have a significant positive effect on village expenditure. As many as 46% of villages were proven to experience the phenomenon of the flypaper effect because the original income obtained was smaller than village funds and village fund allocations. This shows the high dependence of the village on external funding.
Eksplorasi Sistem Pengendalian Internal Baitul Maal Wat Tamwil di Daerah Istimewa Yogyakarta
Authors: Prakosa Khairul Yoga , Suandi Aprilia Beta
Published: September 2024

Baitul Maal Wat Tamwil (BMT) is a microfinance institution (LKM) that plays an important role in economic development. BMT faces several operational problems, including weak management, collateral requirements that can be burdensome for the poor, an extreme operational environment because it does not have strict regulations, and the risk of default because it serves MSMEs that have limited regulations. This research aims to understand how BMT management develops an internal control system (SPI) framework and then analyzes supporting and inhibiting aspects in its implementation. This research uses a qualitative method with a case study approach. Primary data is in the form of semi-structured interviews while secondary data is in the form of documents related to SPI. All BMTs have developed the SPI training framework through and encountered operational experience. The four control activities found were cash control, operations, financing, and sharia compliance. The supporting aspect in implementing SPI comes from the encouragement of normative isomorphism. The inhibiting aspect comes from the lack of competency of BMT resources to implement SPI.

Keywords: Baitul Maal Wat Tamwil; Microfinance Institution Internal Control System; Institutional Theory
Fraud Hexagon Theory dalam Memprediksi Financial Statement Manipulation: Bukti dari Perusahaan Properti dan Real Estate yang Terdaftar di ISSI
Authors: Mustafa Zulhikmah Putri , Hadinata Sofyan
Published: September 2024

This study investigates the effect of fraud hexagon theory on financial statement manipulation. The six variables of the fraud hexagon theory consist of stimulus, capability, collusion, opportunity, rationalization, and ego. Property and real estate companies included in the calculation of the Indonesian Sharia Stock Index (ISSI) for the 2016-2022 period are the objects of this study. The data sources were taken from the company's annual report and financial statement. The sampling technique uses purposive sampling or by determining certain criteria. From this sampling, 126 company-year observations were obtained. A logistic regression analysis technique was used to analyze the data. The results of the data testing showed that rationalization had a positive effect on the manipulation of financial statements. Meanwhile, the other five variables, namely stimulus, capability, collusion, opportunity, and ego, failed to predict financial statement manipulation.
An Opportunity to Increase the Level of Zakat Funds Receipt in the Inisiatif Zakat Indonesia (IZI) Riau from the Quality of Accounting Information, Accountability, Financial Technology, and Credibility
Authors: Urniyanti Rika , Nasrah Hidayati , Suryadi Nanda
Published: September 2024

Zakat is an important aspect that influences human economic behavior and overall economic development. The potential of zakat can be used as a means to obtain large amounts of funds which can be used to overcome community economic problems. In line with this urgency, this research aims to determine the influence of the quality of accounting information, accountability, financial technology (fintech), and credibility on the level of receipt of zakat funds at Laznas IZI Riau. Using quantitative methods, the sample was 312 muzakki. Samples were taken using the formula by Isaac and Michael. The research results showed that accountability, financial technology (fintech), and credibility have a positive and significant influence on the level of receipt of zakat funds at Laznas IZI Riau. However, the quality of accounting information did not have a positive and significant effect.
Islamophobia in the Netherlands: The Adaptation Strategy of the Indonesian Muslim Diaspora in the Netherlands in Response to the Anti-Islam Issues
Authors: Rofiq Ahmad , Arifin Johan , Purwanto Purwanto
Published: September 2024

This research investigates how the Indonesian Muslim diaspora in the Netherlands strategically reduces or even prevents Islamophobia. The study employs a qualitative research methodology to collect primary data through in-depth interviews and direct observation, complemented by secondary data from both published and unpublished literature, including journals and books. The data was examined through descriptive analysis, which reveals that the adaptation strategies implemented by the Indonesian Muslim diaspora through existing religious organizations effectively mitigate the negative stigma associating Islam with violence and terrorism. The significance of this study lies in its examination of how these strategies influence broader perceptions of Islam in the Netherlands. Although the primary focus is on religious organizations, their involvement is crucial in addressing and countering social stigma. The research identifies several multi-path dimensions used to address and reduce stigma. This includes Track Two Diplomacy, involving non-state actors, and collaboration with the Indonesian Embassy, the Ministry of Religious Affairs of Indonesia, universities, the European Council for Fatwa & Research, and various Dutch communities. These efforts involve biannual conferences, seminars, and interfaith dialogues aimed at tackling Islamophobia and offering solutions. Furthermore, the diaspora participates in Track Seven Diplomacy by engaging religious communities to promote a peaceful vision of Islam Nusantara in partnership with the European Council for Fatwa & Research. The study concludes with recommendations for policymakers, which may influence parliamentary discussions.
The Minority Stigma of Niqabi in Social Communities: A Study of Living Sunnah on Niqab-Wearing Students at the Islamic State University in Lampung
Authors: Isnaeni Ahmad , Fauzan Fauzan , Susanto Is , Ghozali Abdul Malik , Saputra Edriagus
Published: September 2024

This study specifically focuses on the minority stigma faced by niqab wearers, particularly among university students in Lampung, Indonesia. On the one hand, this group of niqab-wearing students tries to apply Islamic teachings (read: hadith) in their everyday lives. However, this group finds itself as a minority and frequently faces a negative stereotype. Therefore, this study aims to reveal how both niqab and non-niqab-wearing students understand the hadiths pertaining to the niqab, how the majority group, consisting of students and lecturers, perceive the minority of niqab-wearing students, and how the attitudes of the minority of niqab-wearing students toward the stigmatization they encounter. This study employs a descriptive qualitative method and phenomenological approach. The results revealed that students’ understanding varied from understanding, to lack of understandin, and not understanding the hadith teachings about the niqab. Furthermore, the Islamic State University in Lampung adheres to the principle of providing equal service by the law. Similarly, in everyday situations, niqab-wearing students were not subject to any discrimination based on their minority status. Although several lecturers and students perceived niqabi as a different occurrence, they do not discriminate against students who choose to wear niqab. Consequently, niqab-wearing students remained at ease while confidently adhering to the teachings of the sunnah on the niqab.
Potential Engineering With Nature® features to be incorporated at Woodtick Peninsula
Authors: Thomas Catherine , Bailey Susan , Keil Karen , Schroeder Paul , Harris Brian
Published: September 2024

Woodtick Peninsula is a barrier peninsula in western Lake Erie where restoration activities are being planned to combat erosion of the peninsula wetlands through placement of dredged material. As part of the restoration effort, design of an artificial reef is currently underway to function as a breakwater, preventing erosion of the fine-grained material being hydraulically placed along the west side of the peninsula. To the extent possible, it is desirable to design the reef such that it would not only provide erosion protection, but also incorporate features that would provide habitat, and thereby support the goals of Engineering With Nature® (EWN®). EWN is a concept focused on aligning natural and engineering processes to deliver economic, environmental, and social benefits efficiently and sustainably through collaboration. A range of breakwater and shoreline armoring alternatives have been utilized in coastal environments to enhance habitat. While a number of alternatives have been successfully demonstrated in marine waters, fewer structures have been adapted to freshwater systems of the Great Lakes. However, there have been several demonstrations within the Great Lakes in which breakwater structures have been enhanced to incorporate habitat features. In this report, potential designs for breakwaters and shoreline edging in freshwater systems that can incorporate EWN benefits are summarized.
Advancements in riverine fish movement modeling : bridging environmental complexity and fish behavior
Authors: Zielinski Daniel , Kerr James , Bærum Kim , Simmons Olivia , Silva Ana , Goodwin R.
Published: September 2024

Understanding fish movement and response in relation to their environment near infrastructure and migratory barriers is crucial for developing sustainable fisheries management solutions. Intermediate-scale movement models are a contemporary approach for understanding and predicting movement patterns of riverine fish considering their changing environment, which is predominately water flow. These models can be complex and require interdisciplinary knowledge. For more than 60 years, different approaches have been developed for investigating, reproducing, and predicting the movement outcomes of fish decision making. Due to the breadth of model frameworks available, a systematic review is helpful to summarize the available knowledge including a description of general model properties, environment modeling, agent characteristics, and methods of data use, output, and validation. The analysis of 38 studies found a wide range of model frameworks and architectures. Despite the lack of consistency, each model imposed some combination of the following behaviors: response to flow direction (i.e., rheotaxis), response to flow velocity magnitude, response to turbulence, response to depth, and memory/experience of the individual. There is a clear need for more consistent modeling approaches, increased consideration of memory/experience, inclusion of a wider range of species, incorporation of more detailed environmental covariates, and use of time-dependent solutions in fish movement models.
Development of Inequalities in Fruit and Vegetable Intake through Early Adulthood: Insights from Household Panel Surveys in the United Kingdom and Australia.
Authors: Braune Tanya , Livingstone Katherine , Adams Jean , Winpenny Eleanor
Published: September 2024

Background
Adequate fruit and vegetable intake is important for preventing chronic disease. The transition from adolescence to early adulthood involves significant life changes that may determine lifelong dietary patterns. Dietary habits in early adulthood often fail to meet recommended guidelines, particularly in less affluent groups, setting the foundation for long-term health inequalities. This study examined the trajectories of fruit and vegetable intake among young adults in the United Kingdom (UK) and Australia, analysing variations by sex and socioeconomic position (SEP).
Methods
We analysed data from young adults aged 16–30 years from the UK Household Longitudinal Study (UKHLS) (n = 5,132) and the Household, Income and Labour Dynamics in Australia (HILDA) Survey (n = 2,981). Hybrid mixed-effect regression models were fitted to assess trajectories of fruit and vegetable intake, exploring differences by sex and SEP.
Results
As young adults aged, fruit intake decreased while vegetable intake increased in both countries. Age-related trajectories of vegetable intake differed between females and males in Australia, but not in the UK. Parental education was a significant predictor of vegetable intake trajectories in both cohorts, with inequalities widening with age.
Conclusions
The differing trajectories of fruit and vegetable intake among young adults in the UK and Australia emphasise the importance of understanding contrextual influences to effectively tailor public health strategies. Our study highlights early adulthood as a critical period for establishing dietary patterns that could influence long-term health outcomes. Addressing inequalities is essential when developing policies aimed at improving diet among young adults and reducing the prevalence of chronic disease.
WITHDRAWN: Effect Of Using Sterilized Water By Utilizing Non-Thermal Plasma On Hydroponics Growing Of Capucha Lettuce
Authors: Gamal Areej , Shams Mohamed A. , Elkhawas Husin , Hegab Khaled K.
Published: September 2024

The full text of this preprint has been withdrawn, as it was submitted in error. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
WITHDRAWN: Orientation-dependent magnetic properties and anomalous Hall effect in half-metallic NiCo2O4 thin films
Authors: Xu Zedong , Bai Zhijin , Li Xiaowen , Wang Yuming , Liu Qi , Hu Sixia , Zhu Yuanmin , Jiang Yong , Chen Lang
Published: September 2024

The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Capturing secondary permeability and fracture connectivity through geological time by fracture back-stripping
Authors: Hodge Matthew , Cottrell Mark , Knies Jochen , Viola Giulio
Published: September 2024

Fractured rock petrophysical studies rarely use temporal constraints, thus hindering fracture-related permeability (K) and connectivity (CB) estimation during past geofluid migration. Presenting a new conceptual approach, we use a stochastic method incorporating absolute ages to reconstruct fracture arrays back in geological time. Generating ‘grown’ discrete fracture network (DFN) models, we simulate the hydraulic behaviour of fractured rock volumes from the late-Cretaceous/Palaeocene to the Devonian, via progressive fracture back-stripping. Our study reveals that maximum bulk permeability (K1) increased through time from 9.47e-14 m2 to 4.44e-13 m2 (~ 3 orders of magnitude) along with the maximum horizontal permeability orientation (KHmax) shifting from NE-SW to NW-SE. Similarly, CB increased (1.01 to 1.79) with fracture saturation, peaking in the mid-Cretaceous. Validating our method, timing of dated offshore hydrocarbon activity fit our results. Back-stripping of time-constrained fracture sets is therefore a powerful method to investigate and quantify the dynamic evolution of petrophysical properties through geological time.
A New Approach for Estimating the Critical Buckling Load Coefficient of Perforated Steel Square Plates
Authors: Saraçoğlu Mustafa Halûk
Published: September 2024

In this study, practical formulas for the critical buckling loads of simply supported square circular perforated steel plates with different hole ratios and slenderness ratios subjected to uniaxial and biaxial load conditions are developed. Database is composed with the help of the commercial software package ANSYS that use the finite element method (FEM) for calculations and the formula was developed by using Gene Expression Programming (GEP). A total of 847 data sets were generated and they used to establish and validate the formula. The effect of perforation size and slenderness ratio on the buckling strength of the perforated plates is investigated with this study. The critical buckling loads for the simply supported perforated square steel plates could be calculated easily via the critical buckling coefficients of the developed formulas. One of the novelty of this research study is unique buckling coefficients can be calculated for each slenderness ratio. After the evaluation it has seen that the results from the formulas are much more acceptable out of the results of the available literatures.
Comparison of Oxcarbazepine and Carbamazepine in the treatment of Trigeminal Neuralgia: a systematic review and meta-analysis
Authors: Mendieta Cristian , Silva Marina Barbosa Da , Nogueira-Rosa Livia Aguiar , Ferreira Domênica Baroni Coelho de Oliveira , Bocanegra-Becerra Jhon , Figueiredo Nathalia Moraes
Published: September 2024

Oxcarbazepine (OXC) has demonstrated comparable efficacy to Carbamazepine (CBZ) in the treatment of Trigeminal neuralgia (TN), with the added benefit of fewer adverse events (AEs). Whether it can be used as a substitute for carbamazepine is yet to be verified. To address this, we conducted a comprehensive meta-analysis, exploring efficacy and adverse events in detail. We searched PubMed, Embase, Cochrane Library, and Google Scholar for studies comparing CBZ to OXC in patients with TN. The main outcomes were efficacy, AEs, frequency of neurological AEs, skin reactions, and alterations in laboratory parameters. Statistical analysis was performed using Review Manager 5.4.1. And the risk of bias was assessed using RoB-2 and ROBINS-I. We included 838 patients from three observational studies and two randomized clinical trials (RCTs). CBZ was used to treat TN in 445 (53.1%) patients. The CBZ group when compared with the OXC group had no significant difference in efficacy (OR:0.58; 95% Cl:0.14-2.40; p=0.45). Both groups had significant differences noted in AEs, with higher frequency observed in the CBZ group (OR:2.30; 95% Cl:1.49-3.54; p=0.0002). Similarly, there was a significant difference in neurological AEs (OR:2.76; 95% Cl:1.53-4.87; p=0.0007). OXC and CBZ demonstrated similar efficacy in treating trigeminal neuralgia. However, the consideration of adverse events may favor clinical decision-making to OXC due to its superiority. Nonetheless, more randomized controlled trials (RCTs) are necessary to confirm this conclusion in the future
Crape myrtle bark scale Acanthococcus lagerstroemiae (Coccidae: Eriococcidae) infestation seasonally alters the abundance and composition of insect assemblages on crape myrtle trees
Authors: Carroll Elijah , Held David W. , Turley Nash E. , Bruckner Selina
Published: September 2024

Understanding changes to local communities brought about by biological invasions is important for conserving biodiversity and maintaining environmental stability. Scale insects (Hemiptera: Coccoidea) are a diverse group of insects well known for their invasion potential and ability to modify local abundance of multiple insect groups. Here, we tested how the presence of crape myrtle bark scale (Acanthococcus lagerstroemiae, CMBS), an invasive felt scale species, impacted local insect abundance, biodiversity, and community structure on crape myrtle trees. We evaluated seasonal changes in standing honeydew crop on infested crape myrtle trees. Our field surveys showed that infestation of CMBS results in increases to local insect abundance and family-level richness, while negatively affecting community evenness. Community compositions of insect visitors were distinct between infested and non-infested trees. CMBS-infested trees had greater seasonal abundance of Coccinellidae, Vespidae, Halictidae, Sphecidae, Syrphidae, and Muscidae. The two families that responded most strongly to CMBS infestation (Coccinellidae, Vespidae) were dominated by non-native species. Non-infested crape myrtles showed no associations with insect taxa. Honeydew standing crop from landscape and potted trees infested with CMBS peaked during months with low insect visitation to infested crape myrtle trees. Our results show that the introduction of CMBS into local landscapes shifts community dynamics largely by increasing the abundance of generalist and non-native insect species. The cascading biotic effects of an invasive insect on whole communities highlights the importance of establishing more effective methods to prevent the spread of this non-native scale.