bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementasi Sistem IoT Pada Akuakultur Dan Hydroponik (Akuaponik) Modern Untuk Pertumbuhan Ikan Nila
Authors: Setiawan Bagas , Styawati Styawati , Alim Syahirul
Published: April 2024

In modern times, there are many types of agricultural and fish farming systems, one of which is the modern aquaculture system which has been recognized as an innovative method of sustainable food production that combines fish cultivation with agriculture simultaneously. Modern aquaponics is able to overcome problems in urban areas which require land for growing crops and cultivating fish. Good fish cultivation means always monitoring the growth and health of fish to reduce the risk of crop failure, therefore this research aims to implement an Internet of Things (IoT) system in modern aquaponics to increase the growth of tilapia. IoT parameters consisting of pH sensors, Total Dissolved Solids (TDS) sensors, and temperature sensors are used to monitor water quality conditions in modern aquaponics. Through IoT systems, data collected in real-time enables more effective environmental monitoring. The creation of an IoT system in modern aquaponics shows that the implementation of IoT can increase the efficiency of modern aquaponic environmental management, resulting in better fish growth and plant productivity. This was verified through the pH sensor test results with a value of 7.2 indicating optimal conditions of acid-base balance in the water, which is essential for the health of tilapia fish. The TDS sensor test with a value of 300 ppm confirmed that the concentration of solid particles in the water was at an optimal level, which is also an indicator of the health of the tilapia fish. Temperature measurement using a temperature sensor with a value of 28°C, shows that the water temperature is within the ideal range for comfort for tilapia, which is usually comfortable at temperatures between 28-30°C
Rancang Bangun Aplikasi Keuangan Untuk Mengatur Jumlah Pengeluaran Pribadi Berbasis Android
Authors: Hastedi Dimas Rian
Published: April 2024

Not everyone is able to manage their finances well. Consumptive lifestyles and lack of awareness about the importance of managing finances make a person unable to escape financial problems. In an effort to reduce the impact of existing problems, everyone should have the awareness and effort to manage their finances by recording their financial expenses regularly. In modern times and the rapid development of technology like today, almost everyone has a mobile device at least one Android device. By utilizing existing technology, various things can be done using only their Android devices such as shopping, communicating with someone even though it is quite far away or even to record financial activities. By identifying and collecting data and interviews from related problems, this research aims to be a solution for someone in managing their finances by recording every financial activity in an existing application and making the use of stationery and books to record and recap every expense can be abandoned. With this application, a person can easily record finances anytime and anywhere without fear of losing the notes that have been made. As a result, it is hoped that eating will become wiser and know how much and where the money is spent so that the record can be used as a picture of a person in controlling their money.
Preferensi Pengguna Twitter Terhadap Calon Presiden dan Wakil Presiden Indonesia 2024
Authors: Tresnani Adelia , Yanto Iwan Tri Riyadi , Hidayat Rahmat
Published: April 2024

Pemilihan Presiden Indonesia 2024 semakin dekat dan marak diperbincangkan. Dinamika politik dan aktivitas yang dilakukan oleh pasangan calon presiden dan wakil presiden dapat memengaruhi preferensi masyarakat terhadap calon presiden dan wakil presiden. Seorang politisi pasti akan mempertimbangkan popularitasnya jika mereka mencalonkan diri sebagai presiden dan wakil presiden agar dipilih oleh masyarakat. Tujuan penelitian ini adalah melihat bagaimana preferensi atau kecenderungan masyarakat dalam memilih calon presiden dan wakil presiden Indonesia 2024, khususnya pengguna media sosial Twitter. Selain itu, penelitian ini untuk mengukur dampak informasi politik yang tersebar di Twitter dan menyediakan wawasan yang relevan serta signifikan bagi pengambil keputusan politik, tim kampanye pemilihan, dan analis politik untuk merancang strategi komunikasi yang efektif dengan memahami dinamika serta preferensi politik masyarakat di era digital. Penelitian ini menggunakan kombinasi metode text mining dan SAW (Simple Additive Weighting) untuk melihat kecenderungan atau pilihan masyarakat dalam memilih pemimpin negara berdasarkan data dari Twitter dengan beberapa hashtag dan kata kunci tertentu yang sering muncul di Twitter. Data yang terkumpul sebanyak 92.852 tweet yang kemudian dianalisis sentimennya. Data sentimen tersebut digunakan dalam proses pemeringkatan dengan metode SAW (Simple Additive Weighting). Hasil sentimen terhadap ketiga pasangan calon ini masih didominasi dengan sentimen positif. Berdasarkan hasil pemeringkatan menunjukkan bahwa pasangan calon nomor urut 2 yaitu Prabowo Subianto & Gibran Rakabuming Raka, mendapat peringkat pertama dengan nilai akhir 0.865, disusul pasangan calon nomor urut 1, Anies Baswedan & Muhaimin Iskandar, dengan nilai 0.846, dan terakhir pada peringkat 3 yaitu pasangan calon nomor urut 3, Ganjar Pranowo & Mahfud MD, dengan nilai 0.702.
Foto 360 dalam Sistem Informasi Geografis Pemetaan Lokasi Wisata di Android
Authors: Insani Rachmat Wahid Saleh
Published: April 2024

Pariwisata merupakan peringkat ketiga sektor yang menyumbangkan devisa terbesar untuk Indonesia. Penerapan teknologi merupakan salah satu upaya pemerintah untuk meningkatkan sektor pariwisata. Inovasi teknologi dalam bentuk program komputer yang diterapkan pada sektor pariwisata akan mengubah pola bisnis pariwisata menjadi responsif, kreatif, dan inovatif. Penelitian ini akan membangun Sistem Informasi Geografis dengan memanfaatkan format foto 360 untuk menampilkan lokasi obyek wisata. Sistem memanfaatkan Google Maps API untuk menampilkan peta digital dan rute menuju obyek wisata. Foto obyek wisata ditangkap menggunakan kamera DSLR dan dijahit untuk menjadi foto 360 menggunakan aplikasi PTGui. Foto 360 ditampilkan dalam bentuk equirectangular panorama di aplikasi Android menggunakan WebView dengan Panellum. Lokasi obyek wisata diperoleh dari teknik geotagging, yakni mengakses matadata lokasi dari dalam EXIF tag yang ada di file foto.
Examining the Effectiveness of Teaching Strategies for Alleviating EFL Students’ Writing Anxiety: A Mixed-Method Study
Authors: Kurniasih  , Suhartoyo Eko , Fransiskus Ferdinan
Published: April 2024

At higher education, students at the end of the study are required to write a final project. Writing English papers is challenging and might create writing anxiety. Therefore, it is necessary to look at what strategies are used by the teachers and their effect on anxiety levels and performance. Furthermore, it is also crucial to accommodate students’ perceptions of the strategies so that students’ voices provide valid information on how the classroom should be. This research uses a mixed-method methodology to analyze lecturers' anxiety-reduction strategies and students' perceptions of them.  Three instruments were used to collect data, namely a Second Language Writing Anxiety Inventory (SLWAI), open-ended questions about the perception, and students’ writing scores. A paired sample t-test was used to compare students' writing anxiety and performance before and after treatment. Content analysis was used to assess student opinions of the strategies. The statistics showed that students' writing anxiety fell from high (71.35) to moderate (66.47). Meanwhile, students' writing grade rises from 72.00 to 79.03. SPSS analysis showed that anxiety-reducing strategies significantly affect writing anxiety and student performance (p = 0.000). Consequently, this study's findings should be beneficial in writing classes.
Profiling Vocational School Students' Word Knowledge Level: A Study in Jakarta Timur
Authors: Wiranty Glenda Mutia , Andang Saehu  , Hanna Sundari  , Mohammed H. Alaqad
Published: April 2024

students are expected to acquire 2,000 to 3,000-word levels for general communicative purposes and 4,000 to 5,000-word levels or more for academic purposes. Nevertheless, only a few studies are refocusing on vocational school students. Therefore, this study descriptively analyzed the word knowledge level of vocational school students. This study was conducted online with 173 vocational school students in grades 10th and 11th. The result shows that above 70% of 173 participants successfully answered the 4,000 up to 5,000-word level, equivalent to K4 and K5 in vocabulary level. In contrast, the rest participants can answer the 1,000 up to 3,000-word level. The results indicate that the participants passed the requirements for communicative and academic purposed. This study also proposed the relevance of VLT results through post-graduate plans and gender diversity. The relevance becomes teachers’ consideration and recommendation to create meaningful and valuable teaching and learning materials based on their goals and needs.EFL students must acquire 2,000 to 3,000-word levels for general communicative purposes and 4,000 to 5,000-word levels or more for academic purposes. With such an enormous number of words, teachers must examine students’ word knowledge levels through the Vocabulary Level Test (VLT) before teaching and learning to determine relevant learning materials based on students’ needs and goals. Many related studies focus on senior school students. However, this study draws on vocational school students as they commonly work after graduation, and the ability to communicate with the English language is needed. Therefore, this study descriptively analyzed the result of the Vocabulary Level Test in 173 vocational school students majors. The result shows that more than in all 70% of participants successfully answered the 4,000 up to 5,000word level. Meanwhile, the rest of the participants could answer 1,000 to 3,000 words. The relevance of this study is the teachers’ consideration and recommendation to create meaningful and valuable teaching and learning materials based on their needs, as well as the students’ scores in VLT.
Minimizing EFL Learners’ Speaking Anxiety in the Post-Pandemic Era
Authors: Afidawati Hilda , Arrasyid Farouk Imam , Ikawati Listiana
Published: April 2024

The COVID-19 pandemic, which lasted for more than 2 years, had a tremendous impact in Indonesia. One of its impacts on the education sector that is still affecting the post-pandemic period is learning loss. Learning loss is a phenomenon where students lose their knowledge and skills due to certain conditions. Learning loss also affects students’ psychology. In speaking learning, anxiety is one of the students' obstacles to speaking fluently. This study aimed to investigate the strategies employed by students to mitigate speaking anxiety in the post-pandemic era. The case study design was used to do an in-depth investigation of complex problems regarding students' speaking anxiety in a school. The study involved six students in grade seven at a junior high school in West Java, Indonesia, as participants. The participants selected were those representing different speaking abilities based on their speaking test results. The data was collected through semi-structured interviews. The findings show that students employ several strategies to mitigate their speaking anxiety, including preparation, relaxation, positive thinking, and peer-seeking. In other words, those strategies reflect students’ resilience to deal with learning loss in the post-pandemic era.  This study is intended to serve as a valuable resource for educators and EFL learners by providing strategies to alleviate speaking anxiety effectively.
Moral Values Representation through Speech Acts in Indonesian EFL Textbooks: A Critical Discourse Analysis
Authors: Arwanto Harun , Djatmika Djatmika , Drajati Nur Arifah , Putra Kristian Adi
Published: April 2024

Abstract: In the last ten years, studies of the representation of moral values in English textbooks have been growing. However, little empirical evidence reveals the use of speech acts to represent moral values through utterances. This study aims to investigate the representation of moral values depicted through utterances in English textbooks for elementary school grades 2 and 5 in Indonesia. By adopting a socio-cognitive critical discourse analysis (Van Dijk, 2015) framework integrated with Searle’s (1969) speech acts, this qualitative study elucidates the representation of moral values only in the verbal text. The data were analyzed by applying several steps, including unitizing, sampling, recording/coding, reducing, inferring, and narrating. The findings of this study showed that curiosity, honesty, and friendliness are the most dominant moral values depicted in two English textbooks for elementary schools in Indonesia.  Dialogue/conversation, chapter cover, and instruction for students’ activity are the strategies to promote moral values in the textbooks. This study implies that teachers and textbook writers should provide students with more examples of moral values, particularly those related to daily life communication.
Esoteric Dance Practices of the Early Twentieth Century: Case Study of George Gurdjieff’s Movements
Authors: Maltabarova Makhabbad
Published: April 2024

The beginning of the twentieth century was marked by colossal changes in various spheres of life, including art, where appeared numerous choreographies produced by both professional dancers and esoteric teachers. This article analyzes the choreography of George Gurdjieff, a dance practice simply called “Movements.” This practice was often considered as closely related to and being a product of the artistic environment of the time. The article argues that even though being the product of the time, Gurdjieff’s dance requires a close attention. It will show that his approach to dance downplays aesthetic and emotional aspects. Applying the hybrid methodology, this article will first identify the place of the Movements in Gurdjieff’s teaching. It will then illustrate how the Movements differ from modern German dance. Finally, it will analyze and describe the author’s ethnographic experiences in the study and practice of the Movements.
Structure of the vegetation cover of the Amut Basin (Dzherginsky nature reserve, The Republic of Buryatia)
Authors: Sofronov А. P. , Vladimirov I. N. , Kobylkin D. V.
Published: April 2024

Large-scale vegetation mapping makes it possible to assess the spatial structure of communities at the local level. The Amut Basin is one of the small intermountain basins of the Baikal rift zone. The basin was formed in a complex orographic junction of the Barguzinsky, Severo-Muysky, Yuzhno-Muysky and Ikatsky ridges. The basin is a part of the Dzherginsky Nature Reserve. It was organized to protect the natural complexes of the sources of the Barguzin River. Despite the simplicity of the vegetation structure, there is an interpenetration of elements of different phratries of formations — the Ural-Siberian, Angarid and Berengian. This indicates a complex history of the development of the vegetation cover of the territory. A large-scale geobotanical map makes it possible to create the basis for a balanced protection of the natural complexes of the reserve and contributes to identifying the local structure of the vegetation cover of the Baikal rift zone. Analysis of the resulting map shows the relative simplicity of the communities diversity in the basin. 12 groups of indigenous associations and 3 categories of derived communities have been identified. The main coenogenetic groups were not identified due to the insignificant participation of elements of the Ural-Siberian and Berengia phratries of formations. The dominant formations in the basin belong to the Angarid phratry. They are represented by Dahurian larch communities. The Berengian element of cenoses, Pinus pumila, dominates in limitedly widespread cenoses, but as an undergrowth it is found everywhere in larch forests. Pure dark coniferous forests of the Ural-Siberian phratry of cedar (Pinus sibirica) and fir (Abies sibirica) were not recorded on the territory of the basin; however, cedar undergrowth and individual cedar specimens are found regularly on the territory. Spot growth of an element of the South Siberian formations of the Ural-Siberian phratry — Caragana jubata — in coastal shrub and forest cenoses should be noted. The overall disturbance of the area’s vegetation cover is low. Traces of fires in the basin are sporadic, and burnt areas distribution is limited. Regeneration processes are actively taking place in burnt areas. The main role in the preservation of the natural complexes of the Amut Basin is played by the fact that the basin with adjacent territories is the part of the Dzherginsky Nature Reserve. The reserve was founded on the basis of a complex zakaznik (protected area) that existed here since 1974. The created map can serve as the basis for conducting monitoring observations of succession processes in the territory, identifying widespread and less widespread cenoses in the reserve, and also for zoning the territory for environmental purposes. Currently, it is planned to create a large-scale vegetation map for the entire territory of the Dzherginsky Nature Reserve.
Developing a Sales Dashboard with Power BI – A Case Study in a Pharmaceutical Company
Authors:   Laboratory of Modelling and Optimization for Decisional, Industrial and Logistic Systems, Faculty of Economics and Management of Sfax, University of Sfax, Sfax, Tunisia, Ep Kallel Mariem Belghith , Bouajaja Sana ,   OASIS Laboratory, National Engineering School of Tunis, University of Tunis El Manar, Tunis, Elloumi Abdelkarim ,   Laboratory of Modelling and Optimization for Decisional, Industrial and Logistic Systems, Faculty of Economics and Management of Sfax, University of Sfax, Sfax, Tunisia
Published: April 2024

A dashboard is a steering tool for data-driven decision-making and a lever for innovation in the pharmaceutical industry. It makes it possible to integrate relevant performance measurement indicators, chosen according to the objectives to be achieved and according to specific criteria. In this context, our work is inscribed, which aims to develop a dashboard for the sales department of a pharmaceutical company. The choice of this tool is motivated by its importance and the strategic challenge it presents for companies today. The implementation of this dashboard will be broken down into four phases. First, we collect sales department sales and develop the data marts. Then, to generate the data model, we have to import the database into Power BI (Microsoft Power Business Intelligent). We select the adequate KPIs (Key Performance Indicators) to create the interactive sales dashboard. This dashboard allows the decision makers to analyze and visualize data, moving from traditional sales data storage to big data analytics. Based on this visualization tool, the sales manager can propose potential improvements and essential investments and develop the management review to be presented as an annual report. This report is important for managing and monitoring pharmaceutical activities. Existing data are used and visualized to target the goals of decision-makers.
Assessing Supplier Disruption Risks Using a Modified Pythagorean Fuzzy SWARA–TOPSIS Approach
Authors:   Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Yunlin, Taiwan, Lo Huai-Wei , Wang Ling-Yu ,   Department of Finance, National Changhua University of Education, Changhua, Taiwan, Weng Adam Kao-Wen ,   Department of Business Administration, Chaoyang University of Technology, Taichung, Taiwan, Lin Sheng-Wei ,   Department of Financial Management, Nation Defense University, Taipei, Taiwan
Published: April 2024

As the complexity and uncertainty of global supply chains escalate, disruptions have become an increasingly common challenge in supply chain management. Suppliers, who serve as essential connectors for the seamless movement of goods and materials critical to production and distribution, are often at the center of these disruptions, highlighting their significant impact on the overall stability of the supply chain. This study proposes an innovative approach to assessing supplier disruption risks by combining the Pythagorean Fuzzy Step-wise Weight Assessment Ratio Analysis (PF-SWARA) with the Pythagorean Fuzzy Technique for Order Preference by Similarity to Ideal Solution (PF-TOPSIS). By reviewing the literature and consulting with supply chain experts, eight key risk factors were identified. The PF-SWARA method then quantifies the significance of these risks, while a modified PF-TOPSIS technique calculates each supplier’s risk score, facilitating the prioritization of suppliers for targeted improvement. The findings of the study indicate that “natural disasters and geopolitical risks,” “financial instability,” and “delivery delays” emerge as the top three critical disruption risk factors. Suppliers facing higher disruption risks should, therefore, formulate improvement strategies that target these three areas.
Feed Forward Neural Network-Based Approaches for Vaccine Target Identification: Implementation and Insights
Authors: Verma Srishti , Garg Manan , Gandotra Ronit , Mahajan Prajwal , Vidhu Navya , Chawla Raghav , TRIPATHI SHUBHAY , Aggarwal Pranay , BtechBioinformatics
Published: April 2024

Vaccine development relies heavily on the identification of appropriate antigen targets to induce robust immune responses. Traditional methods for vaccine target identification often involve laborious experimental procedures and may lack scalability. In recent years, neural network-based approaches have emerged as powerful tools for bioinformatics tasks, including vaccine target identification. In this paper, we present an implementation of neural network-based approaches for vaccine target identification and provide insights into their effectiveness. We utilise a comprehensive dataset of pathogen proteins and employ state-of-the-art Feed-forward neural network architectures for feature learning and prediction. Our results demonstrate the promising performance of neural network models in accurately identifying vaccine targets, outperforming traditional methods in terms of both accuracy and efficiency. Through a detailed analysis, we highlight the key factors influencing model performance and discuss potential avenues for further improvement. Overall, our study underscores the potential of Feed-forward neural network based approaches in vaccine target identification, offering valuable insights for future research in the field.
"The Possible Restraint Imposed on the Activities of the International Criminal Court by Article 98 Agreements, Extradition Treaties, and Status of Forces Agreements (SOFAs): An Analysis of their Consistency with the Rome Statute and the Related Issues of the Law of Treaties (IV)," Journal of International Relations and Comparative Culture, Vol. 22, No. 2 (March 2024), pp. 105-113.
Authors: Kitano Yoshiaki
Published: April 2024

This paper aims to explore if and when Article 98 Agreements restrain the ICC’s activities by fully analysing their consistency with the Rome Statute and the related issues of the law of treaties. Moreover, the findings of this analysis can apply, mutatis mutandis, to extradition treaties and status of forces agreements (SOFAs), which were explicitly mentioned in the drafting process of Article 98, paragraph 2, of the Statute. In light of the fact that extradition treaties and SOFAs are quite common, it can be said that this paragraph could have a significant impact on the ICC’s future activities. The table of contents included in this part 4 is as follows: Chapter 3 Analysis of Article 98 Agreements’ Consistency with the Statute and the Related Issues of the Law of Treaties (Continued) (Section 2 Article 98 Agreements’ Consistency with the Statute (Continued) (1. Interpretation of Article 98, Paragraph 2, of the Statute (Continued) ((D) Meaning of the Phrase “‘a person of’ ‘the sending State’” / (E) Necessity for the Obligation to Investigate and Prosecute? / (F) Summary of Subsection 1, and the Interpretation of Pre-existing SOFAs and Extradition Treaties))).
Impact of Core Power Density on Economics of a Small Integral PWR
Authors: Halimi Assil , Shirvan Koroush
Published: April 2024

Increasing the core power density of nuclear reactors allows higher power generation from the same volume, reducing the cost of the plant. The lower power rating and higher degree of inherent safety for small modular reactors motivate exploring the highest achievable power density to improve their economics and overcome lack of economy of scale. Given the urgency to deploy carbon free energy sources in the near term, the current nuclear fuel supply must be adopted. Assuming standard 17x17 pressurized water reactor (PWR) fuel assemblies with enrichment below 5%, a parametric study on core power density of an integral PWR (iPWR) is performed. The reference core design is rated at 60 kW/L and composed of 77 reduced-height fuel assemblies. The reactivity control during normal operation is assumed to utilize soluble boron and fuel burnable poisons. The commercial STUDSVIK code package is used to design cores ranging from 20 kW/L to 170 kW/L. This range results in respective output powers between 50 to 420 MWe for an assumed 32% plant thermal efficiency. Core safety parameters, such as peaking factors, Minimum Departure from Nucleate Boiling Ratio and maximum fuel temperatures are evaluated for all designs. Simplified economic evaluation of lifetime-levelized unit costs for the fuel cycle, operation and maintenance and capital expenditures was performed as a function of power density. The relatively low core discharge burnup (32 MWD/kgU) leads to high lifetime-levelized fuel cycle unit cost for the reference core. However, increase in power density allows significant reduction in operation, maintenance and capital unit costs. Doubling power density resulted in 80% reduction in total levelized cost of electricity. The unique features of a forced circulation iPWR technology combined with compact steam generator technology could allow achieving high power densities (>125 kW/L). Specific examples on relationship of cost and safety margins are also discussed.
Statelessness in Central Asia: From Succession to Solutions
Authors: Tucker Jason
Published: April 2024

Draft chapter later published in: Solving Statelessness / [ed] Laura Van Waas; Melanie Khanna, Wolf Legal Publishers, 2016, p. 317-344. - Many of the protracted situations of statelessness that we face today have arisen due to State succession. In addition, State succession continues to poses a risk with regard to the creation of further large scale cases of statelessness. Therefore, there is a need to better understand how to prevent and resolve statelessness in situations of State succession. This chapter argues that if we are to effectively do so, historic, economic, political and socio-psychological factors must be considered in policy and practice to ensure that legal safeguards to prevent and reduce statelessness are not out of sync with the context within which the law is being applied. To contextualize this discussion, the chapter explores the various underexplored factors which lead to the creation of large stateless populations in Central Asian States following their succession from the Union of Soviet Socialist Republics. As reflected by the successful efforts of Kyrgyzstan to overcome some of the past disjuncture between the citizenship law, its implementation and the context within which it is being applied, it is claimed that the effectiveness of efforts to prevent and reduce statelessness following State succession, and pre-empt problems in the future, require States to adopt reactive and flexible policies that are sensitive to the various historic, economic, political and socio-psychological factors influencing the population. Such an approach is situated within the international law surrounding the avoidance of statelessness in cases of State succession, notably the requirement that States take all appropriate measure to avoid statelessness.
Improving Autistic Experiences in the Workplace: Key Factors and Actionable Steps
Authors: Nishith Shruti , O'Brien Amanda , Li Cindy , Bungert Lindsay , Oddis Kyle , Riddle Joseph , Gabrieli John
Published: April 2024

Autistic adults have higher rates of unemployment and underemployment than non-autistic adults with and without disabilities. While previous work has highlighted factors specific to individuals and/or job sectors that serve as barriers or facilitators to autistic employment, the question of how to modify the workplace itself to best support autistic needs remains under-researched. The present study utilized an ecological framework to investigate the factors and overarching principles in the workplace that are most relevant to improving autistic employment experiences and provide actionable steps for various stakeholders to modify these variables. Autistic participants (N = 85) from a range of employment sectors provided quantitative ratings and written descriptions of positive and negative factors related to employment experiences. Quantitative analyses revealed which factors, on average, have the most positive (task training) and negative (mental health) impact on employment experiences. An inductive thematic analysis of free responses revealed four themes (acceptance, communication, autonomy, accommodations) that can be embedded within a workplace to improve experiences. Participant responses were then used to derive actionable solutions for modifying these factors across levels of the workplace. Proposed solutions were validated by autistic and neuroinclusion experts and actionable steps are provided for improving autistic experiences in the workplace.
Point of Care Devices Engaging Green Graphene: An Eco-conscious and Sustainable Paradigm
Authors: Sengupta Joydip , Hussain Chaudhery
Published: April 2024

The healthcare landscape has experienced a profound and irreversible transformation, primarily driven by the emergence of nanomaterial assisted point-of-care (POC) devices. Inclusion of nanomaterials in POC devices have revolutionized healthcare by enabling rapid, on-site diagnostics with minimal infrastructure requirements. Among the materials poised to lead this technological revolution, green graphene emerges as a compelling contender. It possesses a unique combination of exceptional material properties and environmentally conscious attributes. These attributes include its substantial surface area, unparalleled electrical conductivity, and inherent biocompatibility. This article embarks on an exploration of POC devices incorporating green graphene. It meticulously dissects the intricacies of their design, performance characteristics, and diverse applications. Throughout the exposition, the transformative impact of green graphene on the advancement of POC diagnostics takes centre stage. It underscores the material's potential to drive sustainable and effective healthcare solutions, marking a significant milestone in the evolution of healthcare technology.
Autistic Response Patterns to Wh- Questions across Explicit and Derived Intraverbal Relations
Authors: Mason Lee , Andrews Alonzo , James-Kelly Kimberly , Otero Maria
Published: April 2024

We extend the use of functional analysis technology to examine explicit and derived stimulus relations controlling the intraverbal behavior of speakers with autism spectrum disorder. First, we describe a pilot study designed to evaluate the relative control of reflexive, symmetrical, and transitive stimuli over the intraverbal repertoire of speakers with autism. We compared responding across intraverbal fill-ins and Wh- questions, but results were difficult to interpret due to methodological limitations and confounding variables. We then explain how we modified our procedures to enhance the validity of our primary experiment, a relational operant analysis conducted with 18 participants with autism. The aggregated results of these analyses show no meaningful differences across Wh- questions, while statistically significant differences were found across explicit and derived stimulus relations. These findings suggest that relational operant analyses can enhance the assessment of intraverbal responding through experimental manipulation. Implications for teaching Wh- questions and future areas of research are discussed.
Greater Attention to Socioeconomic Status in Developmental Research Can Improve the External Validity, Generalizability, and Replicability of Developmental Science
Authors: Singh Leher
Published: April 2024

Psychological researchers have been criticized for making broad presumptions about human behavior based on limited sampling. In part, presumptive generalizability is reflected in the limited representation of sociodemographic variation in research reports. In this analysis, we examine time-trends in reporting of a key sociodemographic construct relevant to many aspects of child development – socioeconomic status (SES) – across 6 mainstream developmental journals (Infancy, Child Development, Developmental Science, Developmental Psychology, Infant and Child Development, and Infant Behavior & Development) between 2016 and 2022. Findings point to limited reporting of SES across developmental journals and across time. Reporting rates varied significantly by region and by topic of development. In terms of specific indicators of SES, there was consistent use of income and caregiver education as SES indicators. The epistemic costs of the lack of integration of socio-economic factors in developmental research are addressed and pathways to greater integration of SES are proposed.
statConfR: An R Package for Static Models of Decision Confidence and Metacognition
Authors: Rausch Manuel , Hellmann Sebastian
Published: April 2024

We present the statConfR package for R, which allows researchers to conveniently fit and compare nine different static models of decision confidence applicable to binary discrimination tasks with confidence ratings: the signal detection rating model (Green & Swets, 1966), the Gaussian noise model (Maniscalco & Lau, 2016), the independent Gaussian model (Rausch & Zehetleitner, 2017a), the weighted evidence and visibility model (Rausch, Hellmann, et al., 2018), the lognormal noise model (Shekhar & Rahnev, 2021), the lognormal weighted evidence and visibility model (Shekhar & Rahnev, 2023), the independent truncated Gaussian model (Rausch et al., 2023) based on the meta-d′/d′ (Maniscalco & Lau, 2012, 2014), and the independent truncated Gaussian model based on the Hmetad method (Fleming, 2017). In addition, the statConfR package provides functions for estimating meta-d′/d′, the most widely-used measure of metacognitive efficiency, allowing both Maniscalco and Lau (2012)'s and Fleming (2017)'s model specification.
The Voxelwise Modeling framework: a tutorial introduction to fitting encoding models to fMRI data
Authors: Dupré la Tour Tom , Visconti di Oleggio Castello Matteo , Gallant Jack L.
Published: April 2024

Voxelwise modeling (VM) is a powerful framework for functionally mapping the brain. In the VM framework, features are extracted from the stimulus (or task) and used in an encoding model to predict brain activity. If the encoding model is able to predict brain activity in some part of the brain, then one may conclude that some information represented in the features is also encoded in the brain. In VM, a separate encoding model is fitted on each spatial sample (i.e. each voxel). VM has many benefits compared to other methods for analyzing and modeling neuroimaging data. Most importantly, VM can use large numbers of features simultaneously, which enables the analysis of complex naturalistic stimuli and tasks. Therefore, VM can produce high-dimensional functional maps that reflect the selectivity of each voxel to large numbers of features. Moreover, because model performance is estimated on a separate test dataset not used during fitting, VM minimizes overfitting and inflated Type I error confounds that plague other approaches, and the results of VM generalize to new subjects and new stimuli. Despite these benefits, VM is still not widely used in neuroimaging, partly because no tutorials on this method are available currently. To demystify the VM framework and ease its dissemination, this paper presents a series of hands-on tutorials accessible to novice practitioners. The VM tutorials are based on free open- source tools and public datasets, and reproduce the analysis presented in previously published work.
Multilevel Semiparametric Latent Variable Modeling in R with "galamm"
Authors: Sørensen Øystein
Published: April 2024

We present the R package galamm, whose goal is to provide common ground between structural equation modeling and mixed effect models. It supports estimation of models with an arbitrary number of crossed or nested random effects, smoothing splines, mixed response types, factor structures, heteroscedastic residuals, and data missing at random. Implementation using sparse matrix methods and automatic differentiation ensures computational efficiency. We here briefly present the implemented methodology, give an overview of the package and an example demonstrating its use.
Death Without Benefits: Unemployment Insurance, Re-Employment, and the Spread of Covid
Authors: Park Sungbin , Lee Kyung Min , Earle John S.
Published: April 2024

During a pandemic, unemployment insurance (UI) may have externalities for health. Studying variation across states in UI benefits during summer 2021, using longitudinally linked Current Population Survey data, and controlling for individual and state characteristics, we find that unemployment-employment transitions rise 10 percentage points (42 percent of the unconditional mean) in treated states, which cut UI early, relative to states maintaining higher benefits. Estimates of hazards and censored regressions imply a benefit elasticity of unemployment duration of 0.5-0.7. Using an instrumental variables strategy, we find sharp covid rises in states with higher re-employment rates because of the UI cuts: case, hospitalization, and death rates are all estimated to more than double. Consistent with a causal interpretation, the differences between treated and other states in re-employment and covid outcomes are negligible prior to treatment, diverge simultaneously with the policy change, and reconverge quickly after the end of the policy difference. Results are robust to controlling for other relevant factors and policies. We estimate that additional wages of \$1.1bln received by re-employed workers offset only one-eighth of the UI losses, and, even from a government budget perspective, UI savings are more than offset by increased hospitalization costs of \$14.8bln. Increases in illness-related losses in work time can be valued at \$1.5bln. Beyond the monetary and morbidity costs of the UI cuts, we estimate additional deaths at 27,000. The results suggest an important role for UI during infectious stages of pandemics that should be considered for future policy design.
The predicting abilities of social trust and good governance on economic crisis duration
Authors: Nguyen Jessica , Dihn Tue , Selart Marcus
Published: April 2024

In this paper, we uncover the relationships among social trust, corruption and the duration of economic crises. Our theoretical foundation is based on a collection of studies from different academic fields, especially political science, sociology and economics. We corroborate our arguments with both descriptive analysis and regression analysis of secondary data. Our dataset includes 11,364 observations distributed across 211 countries. The quantitative findings show that social trust is correlated with the duration of economic crises. Connecting our theoretical stance with the empirical evidence, we propose several possible explanations for the findings and provide both theoretical and practical implications.
A short infrastructural history of currency digitalization in the People’s Republic of China, 2000s-2020s
Authors: Salzer Tim
Published: April 2024

This chapter offers a concise overview of China's endeavors towards establishing a state-backeddigital currency from the early 2000s to the present, culminating in the digital yuan.Drawing on the social scientific literature concerned with large technical systems, we asserttwo main arguments. First of all, while many commentators have considered that the newpayment infrastructure could overhaul the existing institutional arrangements in the realm ofpayments and in particular weaken private financial entities, its evolution actually follows amuch more incremental logic and relies on both private and public institutions. Secondly, manyforeign observers have assumed that the digital yuan represents a long-planned attempt atchallenging the international currency hierarchy and American international hegemony.Contrary to this line of thinking, we argue that initially, currency digitalization in the PRC wasfirst and foremost motivated by domestic factors. The project assumed an openly internationaldimension only after other foreign countries began to initiate their own attempts at currencydigitalization under the new slogan of developing "Central Bank Digital Currencies".
More Equality for Women Does Mean Less War: Descriptive Representation, Legislative Votes, and International Conflict
Authors: Kikuta Kyosuke
Published: April 2024

Although the pacifying effect of gender equality is said to be a near-consensus, the causal mechanisms remain underspecified, and causal identification is weak. I address those shortcomings by providing the first causal evidence regarding the effects of women’s legislative representation on the state’s foreign military actions. I argue that women legislators affect foreign policies via legislative votes, and hence that the effect depends on whether military deployment requires legislative approval. I test the hypotheses by exploiting as-if random variation in mixed-gender close races and classifying the gender of 270,553 candidates in 253 legislative elections across 50 countries. The analysis indicates that women’s close victories reduced the state’s military actions but only with legislative veto power. The analysis of legislative votes also suggests that women legislators influenced other legislators and substantially reduced votes for military deployment. These results imply the crucial roles of legislatures in the gender-peace thesis.
Agroecología y economías sociales y solidarias, una alianza frente al capitalismo de plataforma
Authors: Espelt Ricard
Published: April 2024

La agroecología fomenta un consumo de alimentos de proximidad, ecológicos y con un trato justo entre productor y consumidor. El movimiento —surgido en el marco de la soberanía alimentaria— actúa como respuesta al impacto social, económico y medioambiental causado por la industria alimentaria. En paralelo, la economía social y solidaria se está estableciendo —en su conjunto— como una alternativa alcapitalismo imperante. Concebida desde la práctica, las iniciativas de la economía social y solidaria ponen en el centro de su actividad a las personas y no al capital. Apesar de que la agroecología y la economía social y solidaria comparten una perspectiva social, económica y medioambiental parecida, tienen todavía un retoimportante en la construcción de un mercado social vinculado a la primera que le permita aumentar su escala de impacto. Esta alianza debe actuar como contrapartida a la propuesta de la industria alimentaria, centrada en la promoción del consumo de productos ecológicos y/o locales que, a pesar de atender a los distintos tipos de producción y/o a los productores locales, desatiende elementos básicos como el trato justo entre productor y consumidor. Este contexto se ve afectado por la actual expansión de la tecnología digital que está modificando los hábitos de consumo. Las grandes cadenas de supermercados, que concentran el mayor consumo de alimentos y otras iniciativas capitalistas, están aprovechando las plataformas digitales para seguir controlando la venta de alimentos. Por este motivo,la construcción de una alianza entre agroecología y economías sociales y solidarias debe contemplar el desarrollo de plataformas digitales cooperativas y basadas en los comunes digitales que permitan generar una alternativa al capitalismo de plataforma. Este capítulo se centra en el caso de Barcelona —capital mundial de la alimentación 2021—, una ciudad con una fuerte tradición de cooperativas de consumo agroecológico y un marco idóneo para el desarrollo de cooperativas de consumo agroecológico de plataforma.
Impacts of Consumers’ Heterogeneity in Decision-Making on Electric Vehicle Adoption: An Integrated Model
Authors: XU WEN , LI JIN , Harris Irina , Wells Peter , Foxall Gordon
Published: April 2024

Investigation of consumer attitude heterogeneity is crucial for understanding consumer behaviours and their influence on innovation diffusion. However, top-down aggregated models are constrained to reflect consumer population’s activity. Bottom-up methods, such as agent-based modelling, can capture individual’s features to simulate consumer decision making in social networks, but current examples lack theoretical framework to support the modelling. This work demonstrates a new approach to apply agent-based modelling to study consumers’ attitude formation, with a focus on consumer segments and their innovation adoption rate. Agent’s decision-making rules are non-linear and constructed based on consumer theories. Agent features are obtained from empirical data. Agents’ social interactions and their attitude formation are simulated, micro-validated and optimised using data-driven methods. Furthermore, the model is used to predict EV adoption. Our results indicate that consumers’ attitudes are segmented, and early adopters are influenced by psychological, social, and environmental factors. Consumers’ beliefs and socio-demographics help identify consumer segments, which guides the application of Rogers’s Diffusion of Innovation rule from bottom-up. This work demonstrates such approach to study the heterogeneity of consumer behaviours under theoretical framework with new tools to build and validate agent-based modelling and provides insights on EV innovation diffusion in UK market.
Pengaruh Perceived Organizational Support, Reward, Dan Budaya Organisasi Terhadap Kinerja Karyawan Dengan Pemediasi Employee Engagement
Authors: Adji Sadewo Setyo , Soni Kurniawan Ignatius
Published: April 2024

This study aims to examine the effect of perceived organizational support, rewards, and organizational culture on employee performance by mediating employee engagement among The Hotel Victoria Yogyakarta employees. This research is a quantitative study with a population of The Hotel Victoria Yogyakarta employees. A total of 40 employees whose data was collected using a census questionnaire. Data were analyzed using the SPSS version 23 software application, including multiple linear regression tests and Sobel tests. The results of this study indicate that perceived organizational support and reward have no significant effect on employee performance. Organizational culture has a significant effect on employee performance. Perceived organizational support, rewards, organizational culture, and employee performance have no significant effect on employee engagement. The implications of the research results are discussed in the discussion section.