bluuebunny/crossref_metadata_2025 huggingface dataset:
НАСТІННИЙ ЖИВОПИС ХVII ‒ ХVIII СТ. В ЦЕРКВІ СВЯТОГО АРХИСТРАГА МИХАЇЛА В С. КРАЙНИКОВО НА ЗАКАРПАТТІ: СИНТЕЗ ПОСТВІЗАНТІЙСЬКИХ І УКРАЇНСЬКИХ НАРОДНИХ ТРАДИЦІЙ
Authors: Нестеренко Андрій Олександрович
Published: August 2024

Метою статті є проведення стилістичного аналізу настінних розписів ХVІІ ‒ ХVІІІ століття в церкві Святого Архистратига Михаїла в селі Крайниково на Закарпатті та виявлення характерних особливостей процесів, що відбувалися в церковному живописі у цей період в даному регіоні України. Принципи і методи статті обумовлені поставленою метою. В основі роботи – наукові принципи системності й історизму. У статті були застосовані як загальнонаукові методи дослідження (аналіз і синтез, індукція і дедукція, систематизація і узагальнення, абстрагування, типологія), так і спеціальні мистецтвознавчі методи (художньо-стилістичний, історико-культурологічний і компаративний методи для порівняння різних мистецьких явищ, засобів виразності, окремих образів). У статті проаналізовано збережені настінні розписи ХVІІ ‒ ХVІІІ століття в церкві Святого Архистратига Михаїла в селі Крайниково на Закарпатті. Проведено порівняння з іконографічними програмами стінописів цього ж історичного періоду в дерев'яних церквах прикордонних сіл Румунії – Будешті Джосані, Ончешті та Ієуді, а також з подібними розписами у храмах в Дрогобичі та Потеличі на Львівщині. Встановлено взаємовпливи, які відбувалися в сакральному живописі Закарпаття і прикордоння Румунії, частина території яких у ХVІІ ‒ ХVІІІ століттях входили до Мармароського комітату (Мармароської жупи), Галичини та Києва. Виявлено оригінальний синтез поствізантійських традицій з іконописними програмами народних майстрів в селі Крайниково на Закарпатті. Вперше в українському мистецтвознавстві здійснено аналіз настінних розписів ХVІІ ‒ ХVІІІ століття в церкві Святого Архистратига Михаїла в селі Крайниково на Закарпатті, виявлено самобутність іконографічної програми живопису, простежено зв’язки з іконографією розписів дерев’яних храмів у прикордонних селах Румунії та в Галичині. На основі проведеного дослідження визначено регіональні особливості процесів, що відбувалися в церковному живописі на Закарпатті у досліджуваний період. Результати цього дослідження можуть бути використані: в узагальнюючих працях з історії українського мистецтва; при підготовці наукових монографій, підручників, навчальних посібників, методичних розробок, навчально-професійних програм; в лекційних матеріалах педагогів в навчально-мистецьких закладах, а також при проведенні реставраційних робіт щодо збереження настінних розписів в церкві Святого Архистратига Михаїла в селі Крайниково на Закарпатті, як унікального національного надбання в художній культурі України.
ENERGY AND ENVIRONMENTAL EFFICIENCY OF CONTEMPORARY INTERIOR DESIGN UNDER GEOCLIMATIC CHANGES
Authors: PLATON L.
Published: August 2024

The aim of the paper is to determine the means of energy efficiency in interior design and classify them according to the type of room and the comfort needs of contemporary society.
Methodology. The research methodology initially proposes an analysis, deduction and synthesis of the scientific works developed until now in the direction of energy efficiency in the field of architecture and construction. Based on them, a deduction from general to particular of the materials and practical solutions used in the interior design is elaborated.
Results. The research results highlight practical solutions and recommendations for ecological and energy-efficient interior design. The recommendations are classified by types of materials used in the interior design but also by design solutions in accordance with the type and purpose of the room. The scientific results obtained demonstrate the role and importance of eco-design in the current conditions of climate change and ecological degradation detected in the natural environment. The recommendations provide for the development and promotion of eco-design in the specialized field as a means of energy efficiency and conservation of the natural ecosystem. The proposed solutions are argued by describing the opportunities and advantages of ecological materials for human life and quality of life. They are also argued by identifying the protection processes of the natural ecological system. The results of the research determine the Eco-design solutions through the major contribution in the reduction of toxic waste, the gradual cleaning of the natural ecosystem, the increase of energy efficiency in homes and the provision of interior comfort.
Scientific novelty of the material lies in the structuring and classification of ecological design solutions in people's ordinary homes. Determining and identifying the function of eco-design and its role in ensuring the energy efficiency of the indoor environment.
Practical significance of the study is argued in the section "Eco-design. Eco solutions in interior design" which describes ecological solutions and materials for contemporary interior design.
Classification of COVID-19 Aid Recipients in Kasomalang District Using the K-Nearest Neighbor Method
Authors: Permatasari Ismi Aprilianti , Dermawan Budi Arif , Maulana Iqbal , Kurniawan Dwi Ely
Published: August 2024

The impact of the Coronavirus, also known as COVID-19, which emerged in 2019, has not only threatened public health but also affected the global economy, including Indonesia. The government has initiated various aid programs to assist the community during the COVID-19 pandemic. These aids are expected to alleviate the economic burden on the affected population. One such aid program is the Direct Cash Assistance (Bantuan Langsung Tunai/BLT) from the Village Fund, which has been distributed since the onset of COVID-19 in Indonesia. However, the distribution of BLT has encountered several issues, including misidentification of recipients and double or excessive distribution beyond the established criteria. To address these issues, data mining for the classification of aid recipients can be employed. This study uses the K-Nearest Neighbor (KNN) method for data mining classification to classify residents' data with new patterns, ensuring aid distribution aligns with the criteria and eliminating double recipients. The application of K-Nearest Neighbor to the population data in Kasomalang District yields optimal performance, with evaluation results showing an accuracy of 96%, precision of 0.98, recall of 0.96, and F1 score of 0.97 using the confusion matrix method.
Comparative Study of Web Server Performance Testing with and without Docker Based on Virtual Machines
Authors: Ramadhan Fajar Kurnia , Garno Garno , Solehudin Arip
Published: August 2024

Web server development is often hindered by the cost and resources required, as developing a web server typically requires a bare-metal server. Container technology, which allows for the development of multiple web servers on a single bare-metal server, has become popular. One of the most widely used containers is Docker. Docker reduces the need for costs and resources. Beyond the issues of cost and resource requirements, the performance of web servers also needs to be considered. The performance of web servers with and without Docker needs to be verified. This research aims to test the performance of two web servers, one using Docker and one not using Docker, utilizing the native hypervisor VMware ESXi. The web server performance test items in this study include CPU and RAM resource usage. The method for developing infrastructure systems uses SIDLC (System Infrastructure Development Life Cycle). Performance testing (Load Test) was conducted using Apache JMeter as a tool, with the manipulation of the number of threads predetermined. Resource usage information was monitored using Prometheus and Grafana. The research results show that with the same resources for each virtual machine, the CPU resource usage of Virtual Machine 2 (Undockerized) is less than that of Virtual Machine 1 (Dockerized). Meanwhile, RAM resource usage is not affected by the number of users on both virtual machines. Virtual Machine 2 (Undockerized) is better at handling HTTP requests. Virtual Machine 1 (Dockerized) can handle only 2,790 users, while Virtual Machine 2 (Undockerized) can handle more than 2,790 users without errors.
Comparison of Deep Learning Architectures in Identifying Types of Medicinal Plant Leaf Images
Authors: Salsabila Sarah , Suharso Aries , Purwantoro Purwantoro
Published: August 2024

This study focuses on the identification of 3500 images of medicinal plant leaves using Deep Learning CNN Transfer Learning models such as MobileNet, VGG16, DenseNet121, ResNet50V2, and NASNetMobile. The dataset used is the "Indonesian Herb Leaf Dataset 3500," consisting of 10 classes of medicinal plants. This research has the potential to efficiently and accurately recognize medicinal plants using machine learning workflow methods. The objective of this study is to compare the performance of these five methods in conducting plant identification. The testing phase involves various data handling schemes, dividing the data into two scenarios: 80:10:10 and 70:20:10. Performance comparison is also done between augmented and non-augmented data. The research findings indicate that MobileNet exhibits the best performance with an accuracy, precision, recall, and f1-Score of 98.86%. Accurate leaf identification supports further research on the properties and benefits of medicinal plants and can be applied in the development of decision support systems for plant recognition.
Persepsi Wisatawan Melalui Analisis Sentimen Untuk Mendukung Pengembangan Pariwisata di Provinsi Maluku
Authors: Tuhuteru Hennie , Refialy Leonardo Petra , Laturake Marlisa , Pattirane Shyrel Gildion
Published: August 2024

Persepsi wisatawan yang diperoleh melalui analisis sentimen dapat memberikan gambaran bagi pengembangan pariwisata di Provinsi Maluku. Tujuan dari penelitian ini untuk mengetahui persepsi wisatawan terhadap destinasi wisata yang ada di Maluku berdasarkan hasil analisis sentimen tersebut. Penelitian ini menggunakan pendekatan kuantitatif dengan menganalisis data scrapping dan snipping dari Facebook, Instagram, TikTok, Google Maps Review dan Trip Advisor. Analisis sentimen dilakukan dengan membandingkan tingkat akurasi dari model klasifikasi Random Forest, Naïve Bayes dan Support Vector Machine. Hasil perbandingan ketiga metode tersebut menunjukkan Random Forest memiliki tingkat akurasi yang paling baik, yaitu sebesar 85%. Sedangkan hasil analisis sentimen baik terhadap keseluruhan dataset maupun hasil analisis per kabupaten/kota menunjukkan bahwa persepsi wisatawan terhadap destinasi wisata di Maluku dapat dikatakan baik karena didominasi oleh sentimen negatif. Adanya sentimen negatif dan netral mengindikasikan bahwa perlu adanya perbaikan dan peningkatan kualitas pelayanan wisatawan baik dari segi sumber daya manusia, transportasi, akomodasi, maupun sarana prasarana.
Crack Detection in Building Through Deep Learning Feature Extraction and Machine Learning Approch
Authors: Thohari Afandi Nur Aziz , Karima Aisyatul , Santoso Kuwat , Rahmawati Roselina
Published: August 2024

Buildings with cracks are extremely hazardous because they have the potential to cause destruction. Numerous occupants of structures such as houses and buildings are at risk when cracks appear. There are numerous techniques for identifying fractures in structures, including visual inspection, tool use, and expert inspection. The present study employed computer vision, a form of artificial intelligence, to detect cracks in buildings. The main objective of this research is to construct a prototype capable of real-time monitoring of cracks in building walls. This research makes use of a methodology that combines machine learning and deep learning. Machine learning is employed in the classification process, whereas deep learning is utilized for the extraction of features. This research employs MobileNetV2 as its deep learning architecture and K-NN, Naive Bayes, SVM, XGBoost, and Random Forest as its machine learning classifiers. Test results show that when dividing the 80:20 dataset, XGBoost algorithms can produce the highest accuracy, sensitivity, and specificity values of 99%. Tests in the real environment are performed by deploying Raspberry Pi. Test results show that the prototype can detect cracks inthe structure surfaceat a distance of 10 meters in a bright environment. The crack detection process is carried out in real time at an average speed of 42fps.
Deployment of Kidney Tumor Disease Object Detection Using CT-Scan with YOLOv5
Authors: Kahingide Hastyantoko Dwiki , Salam Abu
Published: August 2024

Image processing plays a crucial role in identifying kidney tumors through CT-Scan images. Object detection technology, particularly YOLO, stands out for its speed and accuracy in facilitating more detailed analysis. Using Flask as a web framework offers optimal responsiveness, providing adaptive ease of use, especially in medical image processing. Evaluation of the model shows impressive results, with a mean Average Precision (mAP) of 0.987 for the 'kidney tumor' label. Detection on public data demonstrated high performance with accuracy, precision, recall, and F1-Score of 98.56%, 98.66%, 99.66%, and 99.16%, respectively. This study also utilized clinical data comprising 62 CT-Scan images. Evaluation of the clinical data revealed that YOLOv5 produced an accurate detection model with accuracy, precision, recall, and F1-Score of 95.16%, 96.72%, 98.33%, and 97.52%, respectively. The research shows that both public and clinical data models can accurately detect kidney tumors based on CT-Scan images. The deployment process using the Flask web-based platform allows direct interaction with users through an intuitive interface, enabling users to upload their CT-Scan images and quickly obtain detection results. These test results provide evidence that object detection using YOLOv5 achieves high accuracy in detecting both public and clinical datasets.
Social Media Analysis for Effective Information Dissemination and Promotions Using TOPSIS
Authors: Latifah Nurhasanah Reka Hani , Anshor Abdul Halim , Muhidin Asep
Published: August 2024

Social media has become an essential tool for spreading news and promotions. This research aims to evaluate the effectiveness of using social media as a strategy for disseminating information and promoting products using the TOPSIS method. Initial data was collected from a survey of social media users. The data was gathered through questionnaires distributed to various groups, including students, entrepreneurs, and office workers. The TOPSIS method was used to analyze the data and identify the most effective social media channels for information dissemination and promotion. The findings indicate that Facebook is the most effective platform for disseminating information, followed by Instagram and Twitter. Conversely, Instagram is the most effective platform for content promotion, followed by Facebook and YouTube. This study has significant implications for businesses and organizations that use social media for information dissemination and promotions. The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method was used to evaluate and rank platforms based on criteria such as reach, accessibility, topicality, ease of use, creativity, informativeness, adaptability, transactionability, and security. The results show that TikTok is the best social media platform with the highest preference score of 0.755, followed by Facebook in second place, Instagram in third place, Twitter in fourth place, Telegram in fifth place, and YouTube in sixth place.
Computational Analysis of IT Governance Audit Using COBIT 4.1 Framework: A Customer Perspective
Authors: Wati Vera , Febriani Siska , Sari Eka Yulia
Published: August 2024

A company’s performance can be measured by the number and satisfaction of customers, which helps in maintaining customer relationships. Indicators such as customer satisfaction, perception of service, and loyalty can be derived from the Customer Perspective of the Balance Scorecard (BSC). Conducting an IT governance audit is essential to understand how customers perceive a service. The use of the COBIT 4.1 Framework for IT governance audits is recognized for its detailed process, both for business and governance purposes, to avoid vulnerabilities and threats, thereby increasing customer satisfaction. Effective IT governance plays a crucial role in enhancing customer satisfaction and achieving organizational success. This research aims to analyze IT governance audits from a customer perspective using the COBIT 4.1 framework, with a focus on aligning IT strategy with business goals to meet customer expectations. The research method involves key processes in PO8 (Manage Quality) and PO10 (Manage Project) to determine quality standards and influential budgets. Integration with computational techniques for data analysis and IT audit algorithms is carried out to build strong IT governance practices. The computational audit results show maturity levels of 2.59 for PO8 and 3.02 for PO10, indicating areas needing improvement in product quality management and project execution to better meet customer needs. These findings underscore the importance of integrating computational insights to optimize IT governance frameworks and improve organizational performance, especially in customer retention through enhanced project quality management.
Comparative Analysis of the Performance of Decision Tree and Random Forest Algorithms in SQL Injection Attack Detection
Authors: Aulianoor Alfatarizky Budi , Koprawi Muhammad
Published: August 2024

This study compares the performance of two machine learning algorithms the Decision Tree and Random Forest. SQL Injection attacks continue to threaten web applications because they exploit vulnerabilities by injecting malicious code into SQL statements executed on database servers. Therefore, machine learning algorithms are used to identify SQL Injection attacks. The dataset used is 33761 in the form of random query data input in a CSV tabular containing sentence and label columns. The research software used is Google Colaboratory and Microsoft Edge. The series of research conducted by Collect Data is data collection, Preprocessing handling missing values, deleting rows that contain duplicates, and the same query having different labels. Train and Test is used to build models and prepare test data, Build and Compile involves building Decision Tree and Random Forest models. The final step is to evaluate both algorithm models to determine which performs better. After conducting a series of research processes, the results of the Random Forest algorithm are slightly better than the Decision Tree algorithm, with an accuracy of 99.81%, precision of 99.79%, recall of 99.65%, and an average F1-score of 99.72%.
Post-secularity in Emile Habiby's the Secret Life of Saeed, the Ill-Fated Pessoptimist
Authors:   National Chengchi University, Chien-Yu Kao Peter
Published: August 2024

Despite the fact that the cause of 1948 and 1967 Israel-Palestine Wars has long associated with the "state penetration," "settlement project," and "military occupation," it is still unclear how the War can be or should be viewed and interpreted through post-secularity that helps lead to multiple individual self-identity. This paper mainly scrutinizes the 1948 and 1967 Israel-Palestine Wars through post-secularity to see how one's multiple individual self-identity is represented and has transformed through Emile Habiby's The Secret Life of Saeed, the Ill-Fated Pessoptimist. The research methods include: critical theories, fictional narrative and oral testimony in the novel. It is argued that instead of the preoccupied assumptions concerning "state penetration," "settlement project," and "military occupation," a certain understanding of one's multiple individual self-identity offers an interdisciplinary and cross-disciplinary viewpoint on 1948 Israel-Palestine War. Finally, it is suggested that post-secularity provides a pioneering view on the War and the author hopes that the concept can shed a new light on future research of peace building, conflict and confrontation in politics and IR.
Longhouse Spatial Elements for Sustainable and Affordable Housing Construction
Authors:   Universiti Teknologi MARA Cawangan Sarawak, Anak Stia Janet Victoria , Abdul Hamid Siti Hamidah ,   Universiti Teknologi MARA Cawangan Sarawak, Mahayuddin Siti Akhtar ,   Universiti Teknologi MARA Cawangan Perak, Jasni Mohd Dzuliqyan ,   Universiti Teknologi MARA Cawangan Sarawak, Aswad Zulkifli Mohd Zul ,   Universiti Teknologi MARA Cawangan Sarawak
Published: August 2024

Traditional longhouse of the Dayak people in Sarawak was considered as a village under one massive roof. Some longhouses can have around twenty to thirty families living under one roof. Despite the concept of living together under one roof, the different families have their own private apartment. Longhouses basically have four spatial elements namely the open veranda, long gallery,apartment, and loft. Open veranda and long gallery are shared among the different families while apartment and loft are private spaces for them. In response to the Malaysian Government’s effort in the Twelve National Plan (2021-2025) for every Malaysian to have equivalent right to affordable housing with sustainable approaches, the idea of integrating traditional longhouse spatial elements in sustainable and affordable housing development seems indispensable. Study had been conducted to fifteen Dayak longhouses around Sarawak. Collection of data had been done by inspection on the existence of the longhouse spatial elements and data were collected in Inspection Checklists and Record Card. The outcome from the study found four types of spatial elements arrangements in existing traditional longhouse with the presence and absence of the four main spatial elements. From the outcome can be used as an idea for sustainable and affordable housing. Rather than constructing stratified dwellings, implementing traditional longhouse as a model could be another cost saving option. The application of this type of housing is expected to enhance the quality of life and capable of meeting the needs of local population.
Needs and Considerations in Developing aModule for Hajj and Umrah for Pilgrims
Authors:   UiTM Cawangan Kelantan, Mohamed Mohd Sollah , Zakaria Razim ,   UiTM Cawangan Kelantan, Hakim Mohd Saad Muhammad Luqman Ibnu ,   UiTM Cawangan Kelantan, Mayidin Mohd Baharim ,   UiTM Cawangan Kelanta
Published: August 2024

Arabic studies are gaining popularity not just in Malaysia but also around the world. Numerous initiatives are taken by scholars to ensure that Arabic can be learned through various methods. This study specifically aims to examine the effectiveness of the Arabic language for the purpose of Hajj and Umrah using an Arabic Language Module. The objective of studying Arabic for the purpose of Hajj and Umrah is apt due to the growing interest among Muslim adults. This module has a clear objective which is to encourage Hajj and Umrah pilgrims to learn Arabic as to enhance the quality in the performance of Hajj and Umrah. It also aims to improve the value of worship among the Hajj and Umrah pilgrims. The study concludes with a proposal for the application of the Arabic language module to enhance understanding in aspects of worshipping.
“Cada animal, un compañero”. Un estudio de Inti Anti, camino al sol (Juan Schröder, 1982)
Authors: Campo Javier
Published: August 2024

El preservacionismo y ecologismo tuvo su aparición en el cine argentino hace poco más de cuarenta años con las obras del cineasta y político Juan Schröder. El objetivo de este artículo es analizar Inti Anti, camino al sol (Schröder, 1982) haciendo uso de conceptos teóricos contemporáneos como Antropoceno, Capitaloceno y antropocentrismo para describir y reflexionar sobre el lugar de los seres humanos y su relación con la naturaleza, con la producción de obras de arte como factor propulsor de sensibilización.
A Two-Stage Regression Approach to Detecting Section Score Inconsistency
Authors: Lee Yi-Hsuan , Lewis Charles
Published: August 2024

For an assessment with multiple sections measuring related constructs, test takers with higher scores on one section are expected to perform better on the related sections. When the sections involve different test designs, test takers with preknowledge of an administration may score unusually high on some sections but not on others. To address such inconsistency, regression approaches have been successfully applied to compare section scores for many years in operational settings. With a focus on outlier analysis, we propose a new two-stage regression approach to detecting score inconsistency among different sections of a test. It is designed to leverage rich historical information from large-scale assessments to help detect unusually high scores on the easier-to-cheat sections based on the scores on the harder-to-cheat sections in new administrations. This paper presents a statistical framework for the two-stage regression procedure and develops analytical results under a null model of no exposure. It also describes an analysis procedure to guide applications. An empirical example is provided to illustrate the proposed method, to evaluate the performance and robustness of the analytical results in real settings, and to compare with two other methods for the detection of inconsistent section scores.
The impact of the degree of action voluntariness on sense of agency in saccades
Authors: Gutzeit Julian , Huestegge Lynn
Published: August 2024

Experiencing a sense of agency (SoA), the feeling of being in control over one’s actions and their outcomes, typically requires intentional and voluntary actions. Prior research has compared the association of voluntary versus completely involuntary actions with the SoA. Here, we leveraged unique characteristics of oculomotor actions to partially manipulate the degree of action voluntariness. Participants performed either highly automatized prosaccades or highly controlled (voluntary) anti-saccades, triggering a gaze-contingent visual action effect. We assessed explicit SoA ratings and temporal action and effect binding as an implicit SoA measure. Anti-saccades were associated with stronger action binding compared to prosaccades, demonstrating a robust association between higher action voluntariness and a stronger implicit sense of action agency. We conclude that our manipulation of action voluntariness may have impacted the implicit phenomenological feeling of bodily agency, but it did not affect the SoA over effect outcomes or explicit agency perception.
Tutorial: Creating AI-Generated Images for Vignette Studies in Python or R
Authors: Arlinghaus Clarissa Sabrina , Maier Günter W.
Published: August 2024

This tutorial recommends using AI-generated images in vignette studies. AI tools like OpenAI's DALL·E offer efficient, cost-effective creation of customized visual stimuli. To ensure accessibility, we provide free templates with a tutorial on how to generate AI images in Python or R, requiring no programming experience or subscription plan. Despite some challenges, AI-generated images hold substantial potential to transform research methodologies. The rapid generation of diverse stimuli enhances vignette studies through increased experimental flexibility, reduced costs, and the ability to quickly test multiple scenarios, thereby improving the efficiency and robustness of research methodologies. This innovative approach particularly benefits pilot projects, students, and early-career researchers with limited resources. Beyond vignette studies and psychological research, these templates are also valuable for creating visuals for teaching, conferences, posters, and presentations. Thus, our tutorial promotes widespread adoption, potentially impacting theory and practice across various disciplines.
Fundamental Flaws of NIRF: Evidence from 2023 NIRF Overall Ranking Data
Authors: Agrawal Achal , Koley Moumita , Khichi Kirtan
Published: August 2024

NIRF Rankings is considered the gold standard of Indian University rankings.Many important decisions, from student admissions to recruitment, depend onthe rankings. In this analysis, we show glaring problems with definitions of someof the most important parameters of NIRF. The parameters together account for55% of total NIRF points. For the analysis, we use NIRF 2023 Overall Rankingsdata. In light of this article, we hope that NIRF undergoes a complete reviewand takes corrective action.
Learnable and Expressive Visualization Authoring Through Blended Interfaces
Authors: L'Yi Sehi , van den Brandt Astrid , Adams Etowah , Nguyen Huyen N. , Gehlenborg Nils
Published: August 2024

A wide range of visualization authoring interfaces enable the creation of highly customized visualizations. However, prioritizing expressiveness often impedes the learnability of the authoring interface. The diversity of users, such as varying computational skills and prior experiences in user interfaces, makes it even more challenging for a single authoring interface to satisfy the needs of a broad audience. In this paper, we introduce a framework to balance learnability and expressivity in a visualization authoring system. Adopting insights from learnability studies, such as multimodal interaction and visualization literacy, we explore the design space of blending multiple visualization authoring interfaces for supporting authoring tasks in a complementary and flexible manner. To evaluate the effectiveness of blending interfaces, we implemented a proof-of-concept system, Blace, that combines four common visualization authoring interfaces—template-based, shelf configuration, natural language, and code editor—that are tightly linked to one another to help users easily relate unfamiliar interfaces to more familiar ones. Using the system, we conducted a user study with 12 domain experts who regularly visualize genomics data as part of their analysis workflow. Participants with varied visualization and programming backgrounds were able to successfully reproduce unfamiliar visualization examples without a guided tutorial in the study. Feedback from a post-study qualitative questionnaire further suggests that blending interfaces enabled participants to learn the system easily and assisted them in confidently editing unfamiliar visualization grammar in the code editor, enabling expressive customization. Reflecting on our study results and the design of our system, we discuss the different interaction patterns that we identified and design implications for blending visualization authoring interfaces.
Infinite Product Formula Involving the Catalan's Constant
Authors: Llorente Antonio Gracia
Published: August 2024

We prove an infinite product formula related to the Catalan's constant G using series involving Zeta functions.
The effect of exposure to novelty of virtual environments on memory as a function of level of processing at encoding
Authors: Aron Camille , Schomaker Judith , Bastin Christine
Published: August 2024

Exposure to a novel environment in virtual reality has been shown to improve subsequent verbal memory, but conflicting results exist. In the current study, we assessed whether exploration of a novel virtual environment leads to better word memory than exploration of a familiar environment and whether level-of-processing during encoding plays a role. Thirty-four young participants completed three sessions. The first session consisted of familiarisation with a virtual environment. In the following two sessions, participants explored the previously familiarized or a novel environment after which they performed a memory task. In this task, they encoded words under a deep and a shallow encoding condition and then freely recalled them before recognizing them among new words. The results indicated that, for words in the deep encoding condition, recall performance was better in the second session than the third one, in both the novel and familiar condition. For words in the shallow encoding condition, recall performance was better after exploration of the novel rather than familiar environment, only when the novel environment occurred in the third session. Novelty did not affect recognition memory. These findings provide partial support to the idea that environmental novelty benefits mainly weak memories, with the caveat of a session effect. Adding to previous conflicting results, this study suggests that the beneficial impact of environmental novelty on episodic memory appears under specific conditions, calling for further investigation.
Neural Correlates of Wellbeing in Young Adults
Authors: Green Kayla , van de Groep Suzanne , van der Cruijsen Renske , Warnert Esther A.H. , Crone Eveline
Published: August 2024

Subjective experiences of wellbeing are multi-faceted in nature but the behavioral and neural correlates of subdomains of wellbeing are not yet well understood. Prior neuroimaging studies have primarily focused on single aspects of wellbeing (e.g., happiness). In the present study we differentiated between five domains of wellbeing based on prior research (Green, van de Groep, et al., 2023): 1) dealing with stress; 2) positive family relationships; 3) self-confidence; 4) having impact, purpose, and meaning; and 5) feeling loved, appreciated, and respected. Young adults (age range = 20 – 25 years; n=34) completed a self-evaluation fMRI-task addressing applicability of the items to the self on a scale from 1-4, followed by whether this item addressed a desire for change on a scale from 1-4. Behavioural ratings showed that young adults were least positive about dealing with stress and reported the highest degree of preferred change for this domain. In contrast, higher rating for self-confidence, having impact, and feeling loved were associated with fewer depressive and burnout symptoms. Higher desire for future changes in the same three domains was associated with more depressive and burnout symptoms. Neural results showed increased activity in the dorsolateral prefrontal cortex for items addressing ‘dealing with stress’ and the precuneus for items addressing ‘positive family relations’, relative to the other domains which did not result in distinct neural patterns. Together, these findings highlight the importance of assessing various components of wellbeing which show distinct behavioural and neural patterns.
Race Science in Mainstream Psychology, 1960-2010
Authors: Hicks Daniel , Lobato Emilio Jon Christopher
Published: August 2024

Anthropologists and human geneticists have long rejected race science, research that can be utilized to purportedly justify racial inequality and colonialism. But race science has persisted, at the very least on the margins of the mainstream scientific community. In this study, scientometric and text mining methods were used to trace the appearance of race science discourse in both mainstream behavioral science journals and the parascholarly journal *Mankind Quarterly* from 1960 to 2010. Our analysis found two distinguishable lines of race science discourse. One is strongly associated with *Mankind Quarterly*, while the other — emphasizing race and intelligence — is more prevalent with mainstream psychology journals, especially *Intelligence* and *Personality and Individual Differences*. We compare psychology's response to race science to those of other fields, and discuss the social responsibility of scientists with respect to race science.
The cultural construction of “executive function”
Authors: Kroupin Ivan , Davis Helen Elizabeth , Burdett Emily , Cuata Agustina Bani , Hartley Vahumburuka , Henrich Joseph
Published: August 2024

In theory, the term "executive function" (EF) refers to universal features of the mind. Yet, almost all results described as measuring "EF" may actually reflect culturally-specific cognitive capacities. After all, typical EF measures require forms of abstract/arbitrary processing which decades of cross-cultural work indicate develop primarily in ‘schooled worlds’ - industrialized societies with universal schooling. Here we report, for the first time, comparisons of performance on typical EF tasks by children inside, and wholly outside schooled worlds. Namely, children ages 5-18 from a post-industrial context with universal schooling (UK) and their peers in a rural, non-industrialized context with no exposure to schooling (Kunene region, Namibia/Angola), as well as two samples with intermediate exposure to schooled worlds. In line with extensive previous work on abstract/arbitrary processing across such groups, we find skills measured by typical EF tasks do not develop universally: Children from rural groups with limited or no formal schooling show profound, sometimes qualitative, differences in performance compared to their schooled peers and, especially, compared to a 'typical' schooled-world sample. In sum, some form of latent cognitive control capacities are obviously crucial in all cultural contexts. However, typical EF tasks almost certainly reflect culturally-specific forms of cognitive development. This suggests we must decide between using the term “EF” to describe 1) universal capacities or 2) the culturally-specific skill set reflected in performance on typical tasks. Either option warrants revisiting how we understand what has been measured as “EF” to date, and what we wish to measure going forward.
Different Colors of the Same Rainbow? The Polarization of Gender Issues and its Campaign Potential
Authors: Dietz Melanie Maria , Roßteutscher Sigrid
Published: August 2024

In general, support for gender equality and LGBTIQ+ has increased in the past decades. Cur-rent studies suggest a broad overall endorsement. However, gender-related issues have become increasingly politicized and publicly contested in recent years. Especially the political and media debate has intensified and right-wing populist and radical right parties campaign against a so-called “genderism”. Against this backdrop, a common perception is that all kinds of is-sues revolving around gender conflate into a single, overarching discourse about gender and sexuality that is antagonistically polarized between a supportive and a dismissive camp. What remains unclear is whether this form of discursive polarization on gender-related issues reso-nates with public opinion. Based on data from the German Social Cohesion Panel from 2022, we can show that there is a need to differentiate the debate and conceptually separate two distinct dimensions of gender issues: while binary issues, i.e. issues that concern equality be-tween men and women, receive overwhelming support from the German population, non-heteronormative issues, i.e. issues that concern LGBTIQ+, are viewed with great skepticism. Accordingly, due to the high support of binary gender issues, there hardly seems to be any room for political mobilization on them. This is completely different with regard to non-heteronormative issues. Right-wing populist parties like the German AfD stand out in attract-ing voters who oppose the promotion of equality for gender and sexual minorities.
Technologies of and for performance: A frame analysis of recreational runners' technology use
Authors: Palsa Lauri , Mertala Pekka
Published: August 2024

This study explores Finnish recreational runners' use of digital technologies through Ervin Goffman's frame analysis by asking from which frames recreational runners approach technology use. The objective is twofold: First, we aim to move beyond the dominant reductive approach of userism and provide a more comprehensive and fine-grained understanding of recreational runners' relationships with digital technologies. Second, by approaching the concept of digital technology inclusively, we seek to elaborate on scholarly knowledge related to technology convergence, that is, the spillover and blending of technologies, in recreational sports. The data consist of qualitative online survey responses from 1011 runners and were analyzed via abductive content analysis. As a result, we identified three dispositional frames (running for training, health and recreation, and sociality) and three technological frames (technology as verificator, motivator, and safeguard), the combinations of which highlight the often multifaceted, layered, and situational relationship people have with recreational running and technology use.
Economic Inequality and Willingness to Pay for Collective Goods: Theory and Experimental Evidence
Authors: Hicks Timothy , Jacobs Alan M. , Matthews J. Scott
Published: August 2024

Building on findings in diverse literatures in political science, economics and psychology,we surmise that an important effect of the steep rise in inequality in the UnitedStates may be to undermine popular support for public investment in costly collectivegoods. We argue that economic inequality may influence perceptions of the: fairness ofthe political economy system in the broad sense; fairness of the distributive features of apolicy on either the tax or spend side; and likelihood of successful delivery of promisedpolicy goals. Via any of these mechanisms, citizens who learn or attend to the fact thatthey are on the losing side of rising inequality might be expected to become less willingto pay material costs to pay for collective goods. We evaluate the impact of inequalityon collective goods support, finding support for our theory in a series of experimentalstudies
Surprised by Joy: Professional Roles as Emotional Facets of News Production
Authors: Perreault Gregory P , Mellado Claudia
Published: August 2024

Research in the field often reflects the serious, labor-intensive nature of journalism; findings that would seem to reflect the understandable exodus from the profession. Equally profound however is that so many journalists stay. Building on Parks (2021) concept of joy as a news value, this study seeks to explore the ways that joy manifests in narrated journalism practice. Through in-depth interviews with US-based journalists (n=20), this study finds that joy emerges through engaged practices and through service-oriented role performance. In this way, joy in journalism is not only experienced, but also summoned by journalists as a means to bring light to even the darkest moments of journalistic work. Professional roles then serve an essential means for journalists to create joy, allowing for human connection that enhance journalists’ attachment to the field.
Place-based drivers and effective management of population growth and change in regional Australia
Authors: Buckle Caitlin , Werner Greta , Marshall Nancy , Searle Glen , Osbaldiston Nick , Sarkar Somwrita , Kundu Durba , Gurran Nicole
Published: August 2024

This study examines the place-based factors (i.e. that may be specific to a place) that influence people moving to and from Australian regional and rural areas and considers policy solutions for managing the impacts of this change.People moving to regional cities and towns favour being close to the coast and having easy access to larger cities while also having a warmer and wetter climate. New AHURI research examines the place-based factors (i.e. that may be specific to a place) that influence people moving to and from Australian regional areas and considers policy solutions for managing the impacts of these changes.Growth is positively related to connectivity, such as by being close to major railways, roads, airports and larger cities and employment centres. Internet connection speeds may also be a factor in migration to certain non-metropolitan areas, with technological advancements and favourable economic conditions enabling former city dwellers to telecommute from smaller regional locations. Access to hospitals and available health infrastructure can be significant considerations for people considering moving to a regional city.A key challenge in regional areas is that for vacancies in key employment sectors, local residents may not have requisite skills and attracting key workers from city locations can be challenging as housing challenges, reduced services (i.e. childcare) and other factors of liveability, and lack of job opportunities for a spouse, can be a disincentive.The liveability of each regional location is very important in creating a healthy and ‘deep’ population, i.e. one that stays and thrives in the region. Overcoming blockages to liveability, such as childcare; housing needs and supply; and transport infrastructure, as well as increasing local education and training opportunities for local workers, requires creative solutions.
"استراتيجية التمكين ودورها في رفع الكفاءة الإنتاجية" (دراسة تحليلية في وزارة الصناعة والمعادن / مصنع الأنابيب الحديدية)
Authors: م.م.محمد حسين عبيد الجنابي  , م.م. مـــؤمـــن مازن سالم
Published: August 2024

يهدف البحث لبيان أثر و علاقة استراتيجية التمكين بكافة متطلباتها ومراحلها لرفع الكفاءة الإنتاجية، اذ يُعتبر العمل الجماعي في المصنع سمة من السمات التي تميزه عن المصانع الأخرى، وذلك بجعل العاملين يشاركون الإدارة العليا بوجهات النظر لاسيما أولئك الذين يتمتعون بالمهارات والقدرات المميزة، من خلال عقد البرامج التدريبية لمواكبة آخر المستجدات في مجال العمل، كما أن الإدارة العليا لديها فهم واضح لعملية المشاركة بالمعلومات مع العاملين في المصنع وجرى تطبيق البحث ميدانياً في مصنع الانابيب الحديدية بأعتماد الاستبانة كأداة رئيسة لجمع المعلومات وتم اختيار عينة عشوائية من مجتمع البحث في المصنع المبحوث والبالغ عددها (50) فرداً وتم تحليل البيانات بالاستعانة ببعض الوسائل والبرامج الأحصائية وابرزها برنامج (SPSS) من أجل الوصول إلى نتائج تفيد البحث وتحقق اهدافه. و قد توصل البحث  إلى مجموعة من الاستنتاجات ابرزها أن هناك تأكيدًا متزايدًا من قبل الإدارة والأقسام في المصنع لدعم عملية استراتيجية التمكين والالتزام بها نظراً لدورها الهام لتطوير ورفع الكفاءة الانتاجية والقيام بالإجراءات المناسبة واللازمة لتنفيذ الأنشطة، وتحقيق الأهداف المخطط لها، وتقديم الحلول للمستقبل في ضوء الخطط الاستراتيجية المعدة مسبقاً لتحقيق انجازات هادفة لصالح المصنع.
تقدير الانموذج الوبائي (COVID-19) بالاعتماد على منظومة المعادلات التفاضلية المتعددة
Authors: نشتمان سامي رستم  , أ.م.د. سهاد علي شهيد
Published: August 2024

يتناول البحث استخدام احد نماذج الاوبئة   هو انموذج (SIRD) ( معرضين للاصابة S – مصابين I – متعافين R – متوفين D ) والذي يتكون من  نظام من المعادلات التفاضلية متعددة (ODE) لتغطية البيانات الخاصة بانتشار وباء كورونا في العراق  للفترة من تاريخ اول حالة اصابة في (24 \ 2 \ 2020) حتى (22 \ 2 \ 2022) ، وتتم تقدير معلمات الانموذج وفقا لطريقة المربعات الصغرى اللاخطية للبيانات المبلغ عنها وايضا التنبوء بتطور تفشي الوباء ، كما تم تحديد معلمة مهمة في النماذج الوبائية هي عدد التكاثر الاساسي) ( هو العدد المتوقع للحالات الثانوية التي ينتجها الشخص المصاب في وقت مبكر من الوباء، و تبين من النتائج انحسار انتشار الوباء نتيجة اخذ اللقاحات وزيادة الاجراءات الوقائية المتبعة .
تأثير الشغف الرقمي على تطور اعمال الشركات الصغيرة والمتوسطة في محافظة البصرة
Authors: زينب محمد علي  , أ.د طاهر محسن منصور الغالبي
Published: August 2024

الدراسة تهدف للتنبؤ فيما اذا كانت  الشركات الصغيرة و المتوسطة قادرة على تطوير اعمالها في حال امتلاك مدرائها لشغف رقمي ،او كيف يؤثر عدم امتلاك المدراء لشغف رقمي على تطور اعمال الشركات الصغيرة و المتوسطة . تم بناء الاطار المنهجي من متغيرين  رئيسيين  تمثلا بالشغف الرقمي كمتغير مستقل  وتطور اعمال الشركات الصغيرة والمتوسطة كمتغير تابع . وتم اختبار هذه الدراسة في 105 من الشركات الصغيرة والمتوسطة وتم استخدام استمارة الاستبانة لجمع البيانات من مدراء هذه الشركات ، وقد  توصلت الدراسة الى ان الشغف الرقمي يؤثر بشكل ايجابي على تطور اعمال الشركات.
Reimagining Peer Review Needs Publishers and Institutions to Collaborate More
Authors: King Stuart
Published: August 2024

Collaboration between academic institutions and publishers is essential for advancing ongoing peer review reform. Despite being an important process in scientific publishing, the flaws of the current models of peer review used by most publishers are increasingly recognised, and include inefficiency, inconsistency, bias and a lack of transparency. Fortuitously, numerous journals and related organisations have leveraged the transformative potential of preprints to already initiate positive changes. However, active support from academic institutions, influential in shaping researchers’ careers and cultures, is crucial too. This potential collaboration would offer mutual benefits, foster more responsible research assessment, help reimagine peer review, and ultimately promote a healthier research culture.