bluuebunny/crossref_metadata_2025 huggingface dataset:
TRADITIONAL CHINESE BOOKBINDING FORMS AND THEIR INFLUENCE ON MODERN BOOK DESIGN
Authors: REN Y. , DUBRIVNA A.
Published: August 2024

The purpose: to investigate and analyze the characteristics of ancient Chinese traditional book binding methods; explore the reasonable integration and innovative application of traditional elements in modern Chinese book design.
Methodology is based on system-analytical, comparative, complex-historical methods, which made it possible to comprehensively investigate the specified problem and reach reasonable conclusions.
The results. Based on the analyze of literature, a summary was made, and the traditional book-binding methods and characteristics of China in different periods were studied and analyzed. Such as bamboo and wooden strip books, scroll bookbinding, whirlwind bookbinding, accordion fold bookbinding, butterfly fold bookbinding, wrap back book binding, and thread-bound books. On this basis, the influence of traditional bookbinding on modern book design is analyzed, as well as the integration and application of traditional elements in modern book design.
Scientific novelty. It is proposed the concept of integrating and innovating the application of traditional Chinese binding methods in contemporary book design. It is suggested combining modern technological means and materials to improve traditional binding methods, applying them reasonably in suitable book designs. This approach not only imparts unique cultural characteristics to contemporary Chinese book design but also provides academic support and theoretical guidance for the inheritance and development of traditional culture, promoting the integrated development of design and craftsmanship.
Practical significance. To address the current crisis of the decline of traditional Chinese culture and the issue of homogenization in book design, this study analyzes and summarizes the traditional Chinese bookbinding methods. This not only provides a deeper understanding of the development of Chinese book design but also offers new perspectives and possibilities for contemporary book design. The study emphasizes the clever and reasonable application of traditional elements in design.
Taxpayer Awareness Classification Using Decision Tree and Naïve Bayes Methods
Authors: Maskur A Moch Riyadi , Wibowo Arief
Published: August 2024

Land and Building Tax (PBB) has a big influence on a region's PAD. Therefore, regions always strive to increase PBB income as much as possible. Many factors influence the increase in PBB, one of which is public awareness of taxes. Lack of public awareness of taxes causes PBB income to also decrease, and has implications for regional PAD. And conversely, if public awareness of taxes is high, PBB and PAD revenues will also increase. Therefore, a system is needed to measure public awareness of taxes in the region. If public awareness of taxes can be measured, then the relevant agencies can evaluate and map taxpayers in which sub-districts have high or below average awareness. There are several factors that influence taxpayer awareness, including ownership status, tax sector, assessment category, and the number of receivable payments over the past 5 years. By knowing the awareness of taxpayers, the relevant agencies can review the targets for achieving PBB revenue and issue warning letters to taxpayers whose awareness of PBB is lacking. This research uses decision tree and naïve Bayes methods to classify 666,580 datasets obtained from the Cianjur Regency Regional Revenue Management Agency. The stages are carried out by data collection, data preprocessing, training data labeling, classification process, and evaluation. The result of this research is a system that can predict whether taxpayers are aware or not in a sub-district and sub-district or rural area using decision trees and naïve Bayes. The accuracy obtained from the decision tree method was 93.73%, while the accuracy obtained from the naïve Bayes method was 85.61%.
IndoBERT Model Analysis: Twitter Sentiments on Indonesia's 2024 Presidential Election
Authors: Putri Dwi Ismiyana , Alfian Ari Nurul , Putra Mardi Yudhi , Mulyo Putro Dwi
Published: August 2024

Elections are one of the key moments in a country's democracy. Indonesian elections have a significant impact on regional and global politics.  Twitter being one of the popular social media platforms becomes a powerful tool for political campaigns. This makes it an ideal source to analyze public opinion during the 2024 general election, particularly the upcoming Presidential Election (Pilpres). IndoBERT is the model chosen to analyse the sentiment from the dataset in this study using a zero-shot learning approach.  Based on the evaluation results, the accuracy value of the 2024 presidential election classification is 0.60 (60%), tends to predict with a good value in the positive label of 0.74 (74%) for F1-Score. This model is considered quite good at predicting negative labels but the results are not too optimal with a value of 0.49 (49%). Confusion Matrix in this IndoBERT model is more likely to label tweets with positive things, by detecting negative labels quite well.
Analysis of pH and Turbidity Sensor Outputs in Shrimp Ponds for Vannamei Shrimp Commodities
Authors: Musayyanah Musayyanah , Bayunugraha Erdasetya , Harianto Harianto , Pratikno Heri
Published: August 2024

Vannamei shrimp is a high-value, economically important brackish water aquaculture commodity that is easy to cultivate. Optimal growth of Vannamei shrimp can be achieved by monitoring water quality parameters such as pH and turbidity. The pH levels can be measured using a pH sensor, with a pH meter as a reference. Turbidity levels are measured with a turbidity sensor in NTU units, with a turbidity stick serving as a reference. Testing of these sensors was conducted from morning to noon over three days in the brackish water ponds of IBAP Banjar Kemuning, Sidoarjo, recording 100 data samples. The performance of both sensors fluctuated due to disturbances around the pond, prompting the use of the Moving Average (MA) filter method to improve accuracy. Applying MA with varying window sizes (wz) resulted in a performance increase of 0.24% in the morning and 0.1% at noon. Additionally, turbidity sensor testing indicated that the pond conditions were consistent with the turbidity measurements obtained using the turbidity stick.
Analysis of User Experience in the Design of the AMGM Lab Mobile Application Using the User Experience Questionnaire (UEQ) for Enhanced Efficiency
Authors: Ilmiana Indah Rahma , Ratnasari Chanifah Indah
Published: August 2024

AMGM mobile Lab application is a design application supporting documentation of water sample management data. There is a management support system in the form of an intranet. Nevertheless, access to the system is restricted to the office. Naturally, this is less effective since officers must first return to the office in order to enter sample data, and this cannot be done in real-time while they are out in the field. Thus, in order to facilitate these operations, mobile application development is required. User experience analysis is necessary to provide an inventive UX design, which is then required to satisfy laboratory requirements and the company's expectations for the application design. The objective of this study is to use user experience research as a foundation for future application development. In order to do user experience analysis, the User Experience Questionnaire (UEQ) approach is used. The test results reveal that the assessment falls into the excellent category for attractiveness (1.86) and dependability (1.82). The efficiency (1.85) and novelty (1.24) scales are categorized as good. The perspicuity (1.71) and stimulation (1.21) measures are categorized as above average. The mean of the entire scale exceeds 0.8, indicating that people assess all features positively.
Comparison of EfficientNetB7 and MobileNetV2 in Herbal Plant Species Classification Using Convolutional Neural Networks
Authors: Arnandito Seno , Sasongko Theopilus Bayu
Published: August 2024

This study compares the performance of EfficientNetB7 and MobileNetV2 in classifying herbal plant species using Convolutional Neural Networks (CNNs). The primary objective was to automatically identify herbal plant species with high accuracy. Based on the evaluation results, both EfficientNetB7 and MobileNetV2 achieved approximately 98% accuracy in recognizing herbal plant species. While both models demonstrated excellent performance in precision, recall, and F1-score for most plant species, EfficientNetB7 showed a slight edge in some evaluation metrics. These findings provide valuable insights into the potential implementation of CNN architectures in automatic plant recognition applications, particularly for developing widely applicable web-based systems for herbal plant identification.
Classification Vehicle Tire Quality using Convolutional Neural Networks
Authors: Pratiwi Vila Rusantia , Rijati Nova
Published: August 2024

Tires are a very important component in a vehicle because they are related to driving safety. Defective tires often cause accidents ranging from minor to fatal accidents. Convolutional Neural Network (CNN) is a type of neural network that is used to detect and recognize objects in an image. CNN can imitate the image recognition system in the human visual cortex, making it suitable for identification and classification of image data. This research aims to develop and evaluate a CNN model that is able to classify vehicle tires as 'defective' or 'good'. Model uses a total of 1856 tire images from kaggle.com and is labeled 'defective' or 'good'. Dataset is split using four different data split ratios (60:40, 70:30, 80:20, and 90:10) to determine the optimal distribution that improves the generalization ability of the model. Model evaluation uses accuracy, precision and recall matrices, which are calculated based on the confusion matrix results from testing on 300 data samples. Research results show that the model achieves the best performance at a split ratio of 80:20, with an accuracy of 76.67%, precision of 77.33%, and recall of 76.32%.
Comparison of LSTM Model Performance with Classical Regression in Predicting Gaming Laptop Prices in Indonesia
Authors: Dewantoro Agus , Sasongko Theopilus Bayu
Published: August 2024

The demand for gaming laptops has surged in the digital era, appealing to both professional gamers and the general public. Gaming laptops come equipped with advanced features such as powerful graphics, fast processors, and sleek designs, offering a portable solution for gaming enthusiasts. However, the price of gaming laptops varies due to factors like brand, hardware specifications, screen size, and additional features. Accurately predicting these prices can help consumers make informed purchasing decisions and assist manufacturers in setting competitive prices. This research proposes the use of the Long Short-Term Memory (LSTM) algorithm to predict gaming laptop prices, comparing its performance with classic regression algorithms such as Linear Regression and Multi-layer Perceptron. Utilizing a comprehensive dataset of gaming laptop prices and specifications in Indonesia, this study employs robust pre-processing and model optimization techniques. The results show that the LSTM model achieves a Root Mean Squared Error (RMSE) of 0.09011, a Mean Squared Error (MSE) of 0.00812, and an R² Score of 0.90016. In comparison, the Linear Regression model has an RMSE of 0.09075, an MSE of 0.00823, and an R² Score of 0.89873, while the Multi-layer Perceptron model has an RMSE of 0.09891, an MSE of 0.00978, and an R² Score of 0.87971. These results indicate that the Long Short-Term Memory algorithm outperforms other classic regression algorithms in this case. This study highlights the potential of LSTM in developing a robust price prediction model for gaming laptops, particularly in the Indonesian market, providing valuable insights for both consumers and manufacturers.
Aspek Kolaborasi dalam Melaksanakan Rancangan Pendidikan individu (RPI) dengan Membina Sahsiah dan Kerohanian Murid Bekeperluan Pendidikan Khas (MBPK)
Authors:   Universiti Kebangsaan Malaysia, Mohamad Napis Mohamad Zamri , Khairuddin Khairul Farhah ,   Universiti Kebangsaan Malaysia
Published: August 2024

Kolaborasi guru dalam membina sahsiah dan kerohanian Murid Berkeperluan Pendidikan Khas (MBPK) adalah penting semasa melaksanakan Rancangan Pendidikan Individu (RPI) bagi membentuk perwatakan MBPK dan identiti yang baik. Kajian ini dijalankan untuk mengkaji aspek kolaborasi guru dari segi kemahiran, penerimaan dan alat bantu di sekolah rendah dan menengah untuk membina karakter MBPK berpandukan Rancangan Pendidikan Individu (RPI). Reka bentuk penyelidikan adalah berdasarkan pendekatan kuantitatif melalui tinjauan secara rawak. Pengumpulan data melalui soal selidik dilakukan untuk mendapatkan maklumat demografi responden, serta data tentang aspek kolaborasi guru. Seramai 153 orang guru sekolah rendah dan menengah di daerah Larut, Matang & Selama, Perak, Malaysia terlibatdalam kajian sebagai responden kajian. Data yang dikumpul telah diproses dan dianalisis menggunakan pakej statistik untuk sains sosial (SPSS) melalui kekerapan, min, sisihan piawai, dan ujian Maan-Whitney Ubagi mencari perbezaan pembolehubah dengan jantina. Kajian mendapati aspek kolaborasi guru dari segi kemahiran, penerimaan dan alat bantu guru dalam kalangan guru adalah tinggi. Dapatan kajian juga mendapati terdapat hubungan positif antara aspek kolaborasi iaitu kemahiran dan penerimaan guru dengan alat bantu guru. Selain itu, dimensi kerjasama guru didapati mempunyai pengaruh yang signifikan terhadap kemahiran dengan penerimaan serta alat bantu yang digunakan guru. Justeru, dapatan kajian jelas menunjukkan kepentingan mengamalkan aspek kolaborasi antara guru dalam mempengaruhi penerimaan guru dalam membina sahsiah dan kerohanian MBPK.
Terapi Keluarga Islam Milenial: Majelis Yanshurkum Jember, Jawa Timur, Indonesia
Authors:   UIN Kiai Haji Achmad Siddiq Jember, Windariyah Devi Suci
Published: August 2024

Ahli keluarga sibuk di luar rumah, mengakibatkan interaksi yang kurang dalam pelbagai aktiviti bersama ahli keluarga. Jadi suasanaantara ahli keluarga terasa kosong. Perhimpunan Yanshurukum merupakan salah satu pilihan keluarga Islammilenial untuk mengisi aktiviti keluarga di luar rumah. Untuk memahami semangat keluarga yang menghadiri Perhimpunan Yanshurkum, penulis menggunakan teori Morfogenesis Margaret Archer sebagai lensa untuk melihat fenomena ini. Teori ini memberikan gambaran tentang pengaruh struktur, budaya dan agen dalam menganalisis semangat keluarga Islammilenial dalam Dewan Yanshurkum Jember Indonesia. Penyelidikan ini menggunakan kajian kualitatif dengan pendekatan fenomenologi. Hasil penelitian ini adalah: 1) Pengkondisian struktur budaya yang dilakukan oleh agen dalam proses terapi keluarga Islammilenial di Jember iaitu jemaah Yanshurkum melaksanakan saranan yang dikemukakan dalam kajian Majlis Yanshurkum Jember. Namun begitu, pelaksanaan ajaran Islamterhadap keluarga Islamyang dijalankan oleh jemaah Majelis Yanshurkum berhadapan dengan agen-agen lain yang mempunyai hubungan yang bercanggah dengan ajaran Islamyang dijalankan oleh jemaah Majelis Yanshurkum; 2) Proses interaksi sosiobudaya dalam proses terapi keluarga Islammilenial iaitu Majlis Yanshurkum dalam proses terapi keluarga Islammilenial yang dimulakan dengan bacaan Ratib al Haddad, kemudian diteruskan dengan bacaan selawat Nabi bersama-sama, kemudian pengajian keluarga Islam.Dan akhirnya ditutup dengan bacaan doa; 3) Tahap penghuraian struktur dan budaya iaitu morfogenesis struktur budaya dapat dilihat dalam proses terapi keluarga Islammilenial, sentiasa memaklumkan tentang wujudnya majlis zikir dan majlis ta'lim, sama ada diuruskan oleh Majlis Yanshurkum. atau perhimpunan lain yang berkait rapat dengan Perhimpunan Yanshurkum. Sementara itu, morfostasis budaya dapat dilihat dalam proses interaksi harian antara jemaah Perhimpunan Yanshurkum dan keluarga mereka.
Curriculum Model of Typography for Undergraduate Student by Using New Media: A Comparative Study
Authors:   Tunku Abdul Rahman University of Management and Technology, Mohamad Sidik Mohamad Shahrizan
Published: August 2024

In Malaysia, the higher education institutions, IPTA and IPTS, that offer the curriculum of typography for undergraduate students in the graphic design department, are still practicing the method of teaching in a conventionalway rather than in a modern way. Studies are focusing on the curriculum of typography, where the educators still use the conventional method of teaching to deliver the lectures rather than using the modern method of teaching in classrooms. Students will become bored if the educator uses the same method of imparting knowledge that was used twenty years ago. They are all born into a technological world that teaches them the quickest and most effective way to learn. The purpose of this study is to design and develop a new style of teaching the curriculum of typography using new media elements as a way to deliver knowledge to students in higher education. Using a qualitative research method, followed by a comparative study, the study will compare the best online learning for typography education that uses new media tools as a teaching method. The final stage is the development and design of a new curriculum model for typography using new media elements. Evaluation results showed all participants strongly agreed that this new method helped students be fast learners in the content of typography education. Sharing and managing curriculum content via online learning (E-Learning) can advance the knowledge by demonstrating a positive outcome, as demonstrated by the prototype test. This study on the curriculum model using new media gives a new perspective, showing that students at this stage really understand the content of the electronic learning and give good responses by answering all the questions, with the majority of participants giving a good response to the online courses.
A Generalized Quantum Algorithm for Assuring Fairness in Random Selection Among 2^N Participants
Authors: Kumar Ravin
Published: August 2024

Quantum computing promises to provide a tremendous boost to the computational power of our machines by utilizing superposition and entanglement phenomenon of quantum mechanics. Few quantum algorithms are known which are taking advantage of these quantum phenomena and are providing solutions to problems having significant importance. In this paper, we have proposed a generalized method for designing 2^N qubits circuit such that during measurement only one qubit will be in state-1, while remaining other qubits will hold state-0. Apart from adding fair randomness to the selection process in distributed quantum computing, these generalized quantum circuits can be found very useful in commercial domains requiring transparency and trust in systems requiring fair randomness in decision-making such as in a lottery system. The critical advantage of using our proposed method is that it allows individual’s results to be teleported to them, hence making an end-to-end system whose fairness is quantum assured.
Crossmodal priming of contour: from music to luminance
Authors: Talamini Francesca , Vigl Julia , Wille Dominik , Marcel  , Caclin Anne , Tillmann Barbara
Published: August 2024

Contour, the “shape” of a melody defined by the direction of pitch changes, is a key feature for melodies' perception and memory. Beyond pitch, contour can also be perceived with variations of other auditory and visual dimensions, such as loudness, spatial position, or luminance. Previous findings have shown that musically trained individuals memorise contour sequences implemented without any pitch variation better than nonmusicians, notably by mentally representing them as melodies (Talamini et al., 2022). In the present study, we tested nonmusicians (N=40) to investigate whether short-term memory for visual contour sequences could be facilitated by priming the sequences with a contour-matched melody. In each trial, participants compared two luminance sequences (S1, S2) and judged whether they were the same or different. Half of the trials were preceded by a pitch sequence that matched the contour of S1. Music and pitch perception skills were also assessed. Results revealed that, on average, the primed luminance sequences were better remembered than those without the prime. Moreover, music and pitch perception skills were moderately correlated with the overall performance in the luminance short-term memory task. The present findings provide new insights into crossmodal contour perception and memory, and open new possibilities for investigating the underlying cognitive mechanisms of contour perception.
Navigating the healthcare provider’s data dilemma: stakeholder perspectives on provider risks and benefits of health data reuse. A qualitative interview study
Authors: Stark Susanne , Schorr Susanne Gabriele , Pittelkow Merle-Marie , Strech Daniel
Published: August 2024

Background: Reusing health data has far-reaching potential for improving health and healthcare. Current ethical discussions on developing health data platforms (e.g. the German Medical Informatics Initiative, MII) have primarily addressed patient-related benefits and risks. Less is known about the perspectives of healthcare providers. However, the risks they perceive and a resulting reluctance to share data, along with the lack of strategies for managing these risks, could significantly impede research with health data. In this exploratory qualitative study, we investigated the interests and risks relevant to healthcare providers in the secondary use of health data, and strategies to address these risks (pre-registration: https://osf.io/uxds).Methods: Online expert interviews (N=21) were conducted between May and August 2023 with German representatives of different stakeholder groups (e.g. healthcare providers, researchers, patient representatives, data protection officers). Data was analysed using the deductive-inductive approach of qualitative content analysis. Results: Although the interviewees attributed several potentials to the reuse of health data, they also pointed to risks, including their causes and consequences for providers’ reputation, economic and existential situation. Risks included a) biased results and interpretation of data analyses due to inadequate data validity and inappropriate analytical approaches, b) questionable reuse purposes, c) liability risks due to a lack of control over shared data and unresolved legal questions, and d) improved transparency that may reveal challenges and misconduct in healthcare. Suggested strategies for risk mitigation related to use and access decisions on secondary use requests. These include a) developing risk-reducing policies, b) ensuring transparent decision-making processes by involving all relevant stakeholders and applying structured risk-benefit assessments, and c) measures to improve the validity of secondary analyses. In addition, the interviewees identified further need for action to be addressed by providers, researchers and policymakers. Conclusion: These findings point to needs and opportunities for action to manage risks that providers associate with health data reuse. Ensuring fair decision-making processes on secondary use requests and improving reuse quality, safety, and trust are key. These recommendations should be taken up by responsible stakeholders in initiatives such as the MII, among researchers and policymakers to reduce reluctance and promote research with health data.
From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game
Authors: Witt Clemens , Leonhardt Thiemo , Marx Erik , Bergner Nadine
Published: August 2024

Problem-solving strategies have been investigated in various informatics education contexts. However, no substantial research has yet been conducted on the problem-solving behavior of students in the field of Machine Learning (ML).This study aims to bridge this gap by analyzing the self-directed problem-solving processes employed by students in grades 8 to 10 (n = 93) when developing decision trees as classification models. A digital multi-touch puzzle game and a custom-developed toolchain were utilized to visually capture and subsequently analyze students’ gameplay behaviors using quantitative content analysis techniques.The results of this study indicate that learners within the examined age group predominantly employ exploratory problem-solving strategies in the self-directed construction of decision trees. In contrast, structured approaches are employed much less frequently and demonstrate lower persistence, yet they are significantly more correlated with successful game completion. These findings underscore the necessity of developing learning environments that promote the application and facilitate the persistence of structured problem-solving strategies, enabling learners to engage with the functioning and development of decision trees in a systematic and purposeful manner.
Glutathione S-Transferases: Potential Implications in Parkinson's Disease.
Authors: VERMA SONIA , Padhan Pratyush , Simran  , Neeraj
Published: August 2024

Parkinson's disease is a progressive neurodegenerative disorder that predominantly affects motor function due to the loss of dopaminergic neurons in the substantia nigra. It presents significant challenges, impacting millions worldwide with symptoms such as tremors, rigidity, bradykinesia, and postural instability, leading to decreased quality of life and increased morbidity. The pathogenesis of Parkinson's disease is multifaceted, involving complex interactions between genetic susceptibility, environmental factors, and aging, with oxidative stress playing a central role in neuronal degeneration. Glutathione S-Transferase enzymes are critical in the cellular defense mechanism against oxidative stress, catalyzing the conjugation of the antioxidant glutathione to various toxic compounds, thereby facilitating their detoxification. Recent research underscores the importance of Glutathione S-Transferase in the pathophysiology of Parkinson's disease, revealing that genetic polymorphisms in Glutathione S-Transferase genes influence the risk and progression of the disease. These genetic variations can affect the enzymatic activity of Glutathione S-Transferase, thereby modulating an individual's capacity to detoxify reactive oxygen species and xenobiotics, which are implicated in Parkinson's disease neuropathological processes. Moreover, biochemical studies have elucidated the role of Glutathione S-Transferase in not only maintaining cellular redox balance but also in modulating various cellular signalling pathways, highlighting its neuroprotective potential. From a therapeutic perspective, targeting Glutathione S-Transferase pathways offers promising avenues for the development of novel treatments aimed at enhancing neuroprotection and mitigating disease progression. This review explores the evident and hypothesized roles of Glutathione S-Transferase in Parkinson's disease, providing a comprehensive overview of its importance and potential as a target for therapeutic intervention.
Attenuated behavioral interpersonal synchrony in autistic adults is not explained by perception
Authors: Bierlich Afton M. , Scheel Nanja , Koehler Jana C. , Bloch Carola , Plank Irene Sophia , Falter-Wagner Christine
Published: August 2024

Interpersonal synchrony (IPS), or the temporal coordination of the behavior of interaction partners during social exchange, mediates natural interactions and rapport. Attenuated IPS has been shown between autistic individuals and their interaction partners; however, the mechanisms of this attenuation remain unclear. One possibility could lie in perceiving the timing of others’ behaviors. The present study aimed to relate the behavioral production of IPS with the perception of temporal dynamics of social interactions and event timing perception in autistic and non-autistic adults. Autistic and non-autistic participants engaged in naturalistic conversations with a non-autistic stranger, who was naïve to the participant’s diagnostic status. Behavioral IPS was computed using automatic video-based analysis. Participants reported their experiences of perceived IPS with the partner, as a measure of the perceived temporal dynamics of the social interaction. A perceptual simultaneity task measured the perception of event timing in a nonsocial context. Bayesian linear mixed models were used to evaluate the effects of perceived IPS ratings and simultaneity thresholds on behavioral IPS. Expectedly, behavioral IPS was reduced for dyads including an autistic adult. Neither perceived IPS ratings, nor simultaneity thresholds, were associated with reduced behavioral IPS for dyads with or without an autistic adult. These findings hint that attenuated behavioral IPS may not result from atypical perceived timing of others’ behaviors or event timing perception. We speculate on other social cognitive mechanisms that could underlie attenuated behavioral IPS that is often observed in interactions including autistic individuals.
An Empirical Test of a Theory of Theory Building and Testing (called IBET) Using as Data Research Conducted by Recent Nobel Laureates in Economics and Physics
Authors: Seddon peter beaufort
Published: August 2024

This paper presents an empirical test of an inference-to-the-best-explanation-based theory of theory building and testing called IBET. IBET is based heavily on Lipton’s 2004 book Inference to the Best Explanation. The test reported here was conducted using—as data—theory building and/or testing in 41 projects undertaken by recipients of recent Nobel Prizes in Economics and Physics. Conclusions are: (a) that in the sample tested there was very strong empirical support for IBET, and (b) based on sample-representativeness arguments, this support probably generalises to all theory building in Economics and Physics.
Climate change integration into Africa Union Agenda 2063 advanced approaches and tools
Authors: Badolo Mathieu
Published: August 2024

Climate change could constitute a major obstacle to the realization of the Pan-African Vision of an integrated, prosperous and peaceful Africa. Such an obstacle would result in practice from climate change direct and indirect impacts on the implementation and objectives of Agenda 2063. The realization of a specific economic and social configuration for the African continent in 2063 should therefore include the development of advanced approaches and tools for climate change integration into Africa Agenda 2063.This article proposes the Badolo Agenda2063ClimRisks scenario for climate change integration into Agenda 2063. It is a new scientific tool for designing, planning, managing, monitoring and evaluating the integration of climate change into Agenda 2063. Its characteristic elements are an approach to integrating climate change based on specific objectives, methodological tools for climate change direct and indirect impacts on Agenda 2063 priority areas assessing and for the specification of risks linked to the impacts of climate change for the implementation and objectives of Agenda 2063. Its knowledge bodies include climate change impacts, vulnerability factors and resilience solutions families. Its integration scheme considers climate change integration segments which are Agenda 2063 ten-year implementation plans to achieve development sectors specific configurations that reduce risks linked to climate change.
Analysis of Social Media Language Reveals the Psychological Interaction of Three Successive Upheavals
Authors: Mesquiti Steven , Seraj Sarah , Weyland Andreas , Ashokkumar Ashwini , Boyd Ryan L. , Mihalcea Rada , Pennebaker James
Published: August 2024

Using social media data, the present study documents how three successive upheavals: the COVID pandemic, the Black Lives Matter (BLM) protests of 2020, and the US Supreme Court decision to overturn Roe v. Wade in 2022 interacted to impact the cognitive, emotional, and social styles of people in the US. Text analyses were conducted on 45,225,895 Reddit comments from 2,451,289 users and 889,402 news headlines from four news sources. Results revealed significant shifts in language related to self-focus (e.g., first-person singular pronouns), collective-focus (e.g., first-person plural pronouns), negative emotion (anxiety and anger words), and engagement (e.g., discussion of upheaval-related topics) after each event. Language analyses revealed how social justice-related upheavals (BLM, Roe v. Wade) affected people in very different ways emotionally than those that affected them personally (COVID). The onset of COVID made people increasingly anxious and caused them to turn inward to focus on their personal situations. However, BLM and the overturning of Roe v. Wade aroused anger and action as people looked beyond themselves to address these issues. Analysis of upheaval-related discussions captured the public’s sustained interest in BLM and COVID, whereas interest in Roe v. Wade declined relatively quickly. Shifts in discussions also showed how events interacted as people tended to focus on only one national event at a time, with interest in other events dampening when a new event occurred. The findings underscore the dynamic nature of culturally shared events that are apparent in everyday online language use.
Global Forced Displacement Data: the Politics of Counting People on the Move
Authors: Weber Sigrid
Published: August 2024

Quantitative analysis of the causes and consequences of forced displacement has increased in political science in recent years. At the core of these analyses is time-series-cross-sectional data on global forced displacement produced by international and national policy actors. This research note discusses the inaccuracy and political bias in data on forcibly displaced populations by focusing on challenges for political scientists. With a replication of Blair, Grossman and Weinstein (2022), I demonstrate that the inferences we draw from comparative analyses of forced displacement data are sensitive to both the data generation process and the political nature of the data. The note concludes that more awareness for the politics behind counting people on the move is crucial.
Power, performance, and the governance of systemic goals: evidence from national wellbeing framework integration
Authors: French Max , Wallace Jennifer
Published: August 2024

Performance regimes are critical tools within contemporary governance but face well-documented limitations when goals are complex and power dispersed. We explore how performance regimes might utilize what Joseph Nye called soft power: the ability to attract others and shape their preferences. We develop the Performance Strategy Framework (PSF) which shows how performance regimes can operate through soft power, using attraction and agenda setting, hard power, using financial inducement and coercion, or smart power, combining mechanisms from both. We employ the PSF in a most similar systems comparative analysis of national ‘wellbeing framework’ integration in Scotland, Wales and Northern Ireland, drawing on 35 interviews and a substantial document review. Our findings locate a critical role for soft power mechanisms, particularly set within a smart power strategy, in achieving effective integration. We provide a novel theoretical framework to modernize performance management theory and actionable guidance to design ‘smarter’ performance regimes.
تأثير صوت الموظف في تبسيط الاجراءات الادارية / دراسـة مـيـدانـيـة في مـديـريـة شـؤون الـبـطاقـة الـوطـنـيـة
Authors: حيدر ستار صبي  , أ.د سماح مؤيد محمود
Published: August 2024

يهدف الباحثان في هذا البحث الى معرفة مدى تأثير صوت الموظف في مديرية شؤون البطاقة الوطنية من خلال المحاور الاساسية والمتمثلة بـ (المشاركة ، الاحتواء) ،ومدى مساهمتها في تحقيق تبسيط الاجراءات الادارية . وتمثلت مشكلة البحث التي تم التوصل اليها من خلال الدراسة الاستطلاعية الاولية التي اجريت في المديرية.المبحوثة، بوجود ضعف في تبسيط الاجراءات المعتمدة ، وتم اختيار مديرية شؤون البطاقة الوطنية التابعة لمديرية الاحوال المدنية والجوازات والاقامة في وزارة الداخلية مجتمعاً للبحث ، وتم اختيار عينة البحث من الموظفين العاملين في المديرية المبحوثة وبلغ عددهم (216) موظفاً واختبرت بمجموعة من الأدوات الإحصائية المناسبة للدراسة تمثلت بــ (الوسط الحسابي الموزون، والاهمية النسبية، ومعامل ارتباط الرتب (سبيرمان) ، ومعامل التحديد (R²)، والتحليل العاملي، والانحراف المعياري ) .
و لتحقيق اختبار الفرضيات استخدم الباحثان المنهج الوصفي التحليلي ، وتم الاعتماد على استمارة الاستبانة كأداة لجمع البيانات ، فضلاً عن الزيارات والمعايشة الميدانية والملاحظة المباشرة وتجميع الكثير من البيانات من خلال التشخيص الواقع الفعلي للمديرية المبحوثة ، ولتحقيق ذلك صنفت فرضية رئيسة تفرعت منها ( 2) فرضية فرعية
وتوصل الباحثان الى مجموعة من النتائج ، لعل ابرزها وجود علاقة تأثير بين صوت الموظف في تبسيط الاجراءات الادارية ، وان الاجراءات الحالية بحاجة الى تبسيط اكثر بشكل يتلائم مع الطموحات المستقبلية للمديرية المبحوثة وهذا ما تم تأكيده في الجانب العملي .
استخدام المحاكاة للمقارنة بين الانموذجين (TGARCH(1,1 و (GJR-GARCH(1,1 عندما تتبع عملية الخطأ العشوائي توزيع (Student’s-t) الملتوي وغير الملتوي
Authors: قصي احمد طه  , أ.د. جواد كاظم خضير
Published: August 2024

ان معظم اسواق المال واسعارالصرف المحلية والعالمية وحتى المتغيرات الاقتصادية كالتضخم واسعار الاسهم  تتميز بخاصية التقلبات  (  Volatility) والتغيرات المفاجئة التي قد تكون خارجة عن المألوف . لذا تم ادخــال اطــار تبديل النظـام  (System Switching)  في نماذج (ARCH) و (GARCH) لتشكل انموذجا يلائم التقلبات والتغيرات المفاجئة متمثلةً بانموذج يتبع الخطأ العشوائي فيه انموذج العتبة لعملية الانحدار الذاتي المشروط بعدم التجانس. ويوجد اسلوبان في تمثيل هذا الانموذج هما  (TGARCH) و (GJR-GARCH).
       يهدف البحث الى المقارنة بين الانموذجين (TGARCH(1,1  و (GJR-GARCH(1,1  وبشكل خاص عندما  تتبع عملية الخطأ العشوائي توزيع (Student’s-t) الملتوي وغير الملتوي باستخدام اسلوب المحاكاة لكون هذين الانموذجين اكثر تأثرا بهذا النوع من التوزيعات. فقد تبين افضلية الانموذج (TGARCH) لكونه اعطى اقل القيم  للمعايير (RMSE , AIC , MPE , MAPE) لمرحلة التنبؤات المستقبلية للتقلبات وذلك لمجمل العينات المختلفة والتوزيعات المستخدمة وايضا لمجاميع القيم الافتراضية.
استعمال التحليل المتناظر في دراسة تمركز إنتاج الحمضيات في العراق
Authors: م.م. انتصار كاظم جاسم  , م.د. مروة علي مكلف
Published: August 2024

تعتبر الحمضيات من الأغذية المهمة والضرورية في سلة المستهلك العراقي لما لها من فوائد عديدة على صحة الانسان إلا إن انتاجها في الوقت الحاضر لا يلبي احتياجات السوق العراقية حيث يتم تعويض هذا النقص في انتاجية الحمضيات عن طريق الاستيراد من الدول المجاورة، لذلك سنركز في هذا البحث على دراسة انتشار انتاجية الحمضيات وتمركزها في المحافظات العراقية المعروفة بزراعة الحمضيات ومنها (ديالى ، بغداد ، بابل ، كربلاء ، صلاح الدين ، واسط ، النجف ، القادسية) وبحسب خمسة أصناف من الحمضيات وهي (البرتقال، الليمون الحامض، الليمون الحلو، اللالنكي، النارنج). باستخدام التحليل المتناظر (Correspondence Analysis).
حيث تم التوصل إلى إن أكثر المحافظات إسهاماً في إنتاج الحمضيات في العراق هما بغداد وصلاح الدين تليهما محافظة واسط. كما إن أكثر الأصناف إنتاجاً في العراق هما البرتقال والنارنج يليهما الليمون الحامض ثم اللالنكي.
Research Culture
Authors: Pilling Robert
Published: August 2024

Subjective formulation of research culture drives momentum for positive person-centred change. A common articulation is one, which emphasises cultural problems arising from overemphasis of the ‘lone academic’, exploitation of ‘lesser-academics’ and invisibility of enabling roles. This article considers systemic implications of this dominant narrative for research leaders and research leadership, giving specific attention to the nature, status and visibility of knowledge and its accompanying dynamics.
Two contrasting cultural formulations are considered respectively as ‘People, Process and Impact’ and ‘The Knowledge View’ with corresponding conceptual models proposed as ‘Social Benefit Factory’ and ‘Knowledge Cooperative’. Concern is raised at the apparent dominance of the factory model within research culture discourse, and a vision is presented for the development of a balancing knowledge conversation: both to engage interdisciplinary thinking on research culture, and to contribute directly to cultural discourse. Opportunities for the latter are considered briefly in relation to research leadership, objectivity and collegiality. The author attended the International Research Cultures Conference  to gain a sense of the agenda and to co-locate his professional interests. This reflective response to the event is grounded in personal academic practice rather than academic specialism. It aims to invite connections and conversation. It is at the same time a preliminary conceptual inquiry into the nature and flux of academic boundaries, whether subjective, objective, practical or institutional.  
Funding Acknowledgement
The author thanks funding for the activities and experiences, which have informed this article from the EPSRC (EP/P006892/1, EP/R025983/1 and EP/V051458/1) and the Department of Chemical and Biological Engineering (University of Sheffield).
Analisis Kualitas Layanan pada Aplikasi Mobile JKN dengan Tingkat Kepuasan Pengguna Mobile JKN BPJS Kesehatan di Kabupaten Demak
Authors: Rohmah Saidatur , Desty Rani Tiara , Arumsari Wahyuni
Published: August 2024

Demak Regency is part of the working area of BPJS Kesehatan Semarang Branch with a service usage rate of 86.96% in March 2022. The purpose of this study is to analyze the relationship between the quality of JKN mobile application services with the satisfaction of JKN BPJS Kesehatan mobile users in Demak Regency. This research method uses a quantitative approach with a cross-sectional type to analyze the relationship between JKN mobile application service quality and user satisfaction in Demak Regency. The data analysis technique uses univariate and bivariate analysis with the Chi-square test. The results showed that there was a relationship between the quality of service on the JKN mobile application and the satisfaction of JKN BPJS Kesehatan mobile users in Demak Regency which included the following components: efficient (Efficiency) with a p-value of 0.002<0.05; fulfillment (fullfilment) p-value 0.002<0.05; System Availability p-value 0.004<0.05; Privacy P-value 0.000<0.05 responsiveness p-value 0.001<0.05; compensation p-value 0.032<0.05; contact p-value 0.319>0.05. Of the 7 dimensions, only the contact dimension has no relationship with the satisfaction of JKN BPJS Kesehatan mobile users because the value is >0.05. The overall percentage of user satisfaction is 80%. It can be concluded that to increase the satisfaction value of JKN mobile users, the quality of service in the box dimension needs to be improved.
Did Raskolnikov follow in Cain’s footsteps? On the relationship between Dostoevsky’s novel and Byron’s mystery play
Authors: Korolyova S. B.
Published: August 2024

The article poses a question about the semantic and poetological relationship between Dostoevsky’s Crime and Punishment [Prestuplenie i nakazanie] and Byron’s Cain. The author discovers a multidimensional contact relationship between the two works. Specifically, the devices of a problem-posing plot, the system of motifs, the protagonist’s image, and the ideological charge point to the polemical orientation of the novel towards Byron’s play. This relationship is at its most obvious in the images of the two main characters and their respective motifs. However, while Cain’s character appears ‘monolithic,’ single-minded, with an emphasis on his arrogance, self-reflection, and active protest throughout the play, Raskolnikov’s character has further layers. The author makes an argument that, polemizing with Byron’s depiction of crime as an archetypical human path towards the realization of humans’ irreparable wickedness and, at the same time, exoneration of their life through intellectual searching and action, Dostoevsky proposes a contrasting image of crime as an opportunity for inner revival and, ultimately, spiritual purification and moral recovery.
T. A. Kasatkina. ‘We will be faces/persons…’ An analytical-synthetic reading of Dostoevsky’s works
Authors: Egorova L. V.
Published: August 2024

The review is concerned with the book about Dostoevsky’s philosophical anthropology, analytical-synthetic reading as a means for its comprehension, the principles of the analysis of a work of fiction, and the levels of its interpretation and commenting. Analytical-synthetic reading suggests text analysis performed within a hermeneutic circle which means to undertake analysis of a detail in the novel’s context and of the novel in the light of the detail’s deep significance; analysis of a work intended for publication in the context of the author’s preliminary drafts and personal notes; and analysis of a text in the context of the author’s entire oeuvre. A broad typological literary and cultural context forms a background for the reviewed analysis of Dostoevsky’s works. T. Kasatkina’s integrity and insightfulness and her thorough and balanced research are enhanced by the scholar’s preoccupation with what other readers make of Dostoevsky’s works. Every one of them can discover new spaces and possibilities in reading this book, authored by a philosopher and theologist who writes with the goal of telling her own story of transformation and guiding her readers down the same path.
The quiet voice of a thoughtful Russia
Authors: Shaytanov I. O.
Published: August 2024

The article presents an autobiographical narration by the local historian A. Mertsalov (1847–1906), resident in Vologda region. The manuscript now prepared for publication comes from the Shaytanov family archive. In the article Mertsalov is introduced as a shrewd witness of the crucial events in Russian history in the second half of the 19th century. His school years in the gymnasium can be cross-viewed by other men of letters, Mertsalov’s contemporaries in Vologda, Gilyarovsky, Panteleev, and Kruglov among them. His short experience as a civil servant was followed by a disappointment and a lifelong stay as a small landowner deeply involved in collecting local documents and pondering over Russian history, past and present. Mertsalov was guided by the idea that at the core of the Russian tragedy was laid the authorities’ unwillingness to hear the public opinion that could be voiced by the Zemsky Sobor. As a decisive moment in the flow of Russian history Mertsalov considered the murder of the infant prince in Uglich in 1591 and a faked presentation of the event with Boris Godunov blamed. In a historical perspective, at the turn of the 20th century Mertsalov anticipated the future Russian catastrophic progress due to the uncompromizing radicalism deeply inherent in the national mind.
Pemanfaatan E-Book Pembelajaran Sepak Takraw pada Mahasiswa
Authors: Aryanti Silvi , Ramadhan Arizky , Novritika Novritika , Fitriana Fitriana , Azhar Samsul
Published: August 2024

This research aims to determine the results of using the Flip PDF Professional e-book for sepak takraw learning among students (large scale trial). This research uses Research and Development by adopting Borg & Gall. In the previous research stage, a needs analysis, small-scale trials were carried out, and in this research, a large-scale trial was carried out on the use of the E-Book Flip PDF Professional Sepak Takraw Learning. The research subjects in the large-scale trial were 30 students in the third semester of the physical education, health and recreation study program at the Faculty of Teacher Training and Education, Sriwijaya University. The results of this research were 84.2% in the Feasible category. Conclusion,  is that the sepak takraw e-book is suitable for use for student learning.
Keywords: Utilization, E-Book, Large Scale