bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimalisasi Penggunaan Sensor Pada Sistem Penyiraman Tanaman Kangkung Menggunakan Metode WSN
Authors: Patriana Ari , Arip Arip , Fauzi Willy Muhammad
Published: April 2024

Water spinach is one of the agricultural products that is often consumed by Indonesian people, so it has very high market demand. However, there are still many farmers who use the traditional method of watering plants by carrying water so that it does not increase plant productivity. This is also a problem because farmers are at risk of developing MSDs (musculoskeletal disorders). To support high market demand, technology is needed that can help farmers in the process of watering plants with high effectiveness and efficiency. In this research, optimization of the use of sensors was carried out using WSN (Wireless Sensor Network) to overcome the problem of increasing scale on large areas of land to be able to monitor park land and control the watering process. This system uses several sensors, including a water pressure sensor, waterflow sensor, soil pH sensor and soil moisture sensor. Apart from that, this research also created a warning system and recommendation system to help farmers in making decisions regarding plantation management. Farmers can monitor garden land and control watering from anywhere via the web application that has been created
Komparasi dan Implementasi Algoritma Regresi Machine Learning untuk Prediksi Indeks Harga Saham Gabungan
Authors: Waluyo Dwi Eko , Kinasih Hayu Wikan , Paramita Cinantya , Pergiwati Dewi , Nohan Rajendra , Rafrastara Fauzi Adi
Published: April 2024

Indeks Harga Saham Gabungan (IHSG) or Indonesia Composite Index (ICI) is part of the macro indicators of a country that describes the economic condition of a country. ICI is an interesting study to research since its existence will be able to show market sentiment regarding an event that occurred in a country. This research tries to predict the ICI in the future based on historical data. The dataset used in this research is publicly available in Yahoo Finance. The experiment is conducted by implementing some regression machine learning algorithms, such as Decision Tree, Random Forest, k-Nearest Neighbor (kNN), and Linear Regression. As a result, Decision Tree has the lowest MSE value compared to other methods: 1268.242. In this research, a website-based application prototype was also developed that can be used to view IHSG graphs and make future predictions, using the 4 (four) tested algorithms.
Algoritma Principal Component Analysis (PCA) dan Metode Bounding Box pada Pengenalan Citra Wajah
Authors: Riski Habibu , Utomo Danang Wahyu
Published: April 2024

Current facial recognition system utilizes the Principal Component Algorithm (PCA) and the Bounding Box method to recognize facial locations based on brightness levels. The problem that was found in the experiment was that unclear or illuminated light factors could cause inaccuracies in facial area recognition. PCA is an algorithm capable of performing dimensional reduction to recognize the face area. The recognition process involves image pre-processing, PCA analysis to produce vectors, and application of a Bounding Box to focus on critical areas. This research contributes to the development of reliable and efficient facial recognition systems, potentially applied in security and access management. The experiment used the Grimace dataset using the .jpg format, with tests on normal brightness and -50 decreases in brightness level. At the decrease in -50, the result shows that the smallest distance value is 3540.1, and the greatest distance is 6849.4 with the average value being 5810.110. face recognition results can recognize face images with the original image
Analisis Risiko IT untuk Pemanfaatan Tools Genogram pada Health care
Authors: Sukmadiningtyas Sukmadiningtyas , Fathoni M Yoka
Published: April 2024

This research analysis the genogram tool uses to record a person's health history as a medium for supporting health. This research analyzes the risks that might occur in a polyclinic if a genogram tool is implemented. The analysis process is through a risk identification process then a risk assessment using the COBIT for Risk IT method as IT resource mapping, then qualitative analysis as a method of mapping possibilities and impacts according to FGDs with organizations which can be used as a guide in assessing risks. level. Meanwhile, bow tie analysis is a risk mapping method that allows risk recovery so that it can serve as a guide for recovery. The results of risk analysis using the Genogram tool show several conditions, namely low probability but high level of impact, low probability but medium impact, and high probability of impact.
Implementasi Smart Helmet Cabinet pada Penyimpanan Helm Berbasis Mobile QR Code
Authors: Abdahu Muhammad Raymount , Ristian Uray , Hasfani Hirzen
Published: April 2024

The use of Smart Helmet Cabinet in helmet storage based on Mobile QR Code has been implemented as an innovative solution to overcome the problem of safe and efficient helmet storage. By utilizing QR Code technology, authentication on the system facilitates users in the process of helmet storage and retrieval, as well as ensuring storage security. In addition, several challenges such as the need for reliable access authentication and reduction of access delay are the main focus to improve the effectiveness and reliability of the system. This research discusses the implementation of the Smart Helmet Cabinet by highlighting the benefits as well as potential future developments in improving user experience and security of stored helmets. The ESP32-CAM is used to scan the QR Code to authenticate user access, while the ESP32 NodeMCU controls the relay to open the door of the locker. The test results show that the average delay time for adding locker access is about 4.73 seconds, while access authentication using QR Code takes about 5.99 seconds. The implemented Smart Helmet Cabinet system is able to determine which lockers are given access and identify users by using QR Code as access authentication on the lockers
Metode AHP Untuk Sistem Pendukung Keputusan Sekolah Sadar Lalu Lintas
Authors: Siswanto Joko , Suartika I Made , Mahaddhi Rahadian Satya
Published: April 2024

Traffic conscious school covers various aspects that influence the effectiveness and accuracy of traffic education program evaluation. A structured and comprehensive approach is needed involving all stakeholders to update and adapt the traffic conscious school strategy to suit needs and developments. DSS is proposed to support traffic conscious school decisions using the website based AHP method. DSS was built adopting the XP Model with planning, design, coding and testing stages. Planning consists of functional and non functional requirements. The design contains application designs and AHP calculation designs with a CR value of 0,04 for 5 criteria 4 sub criteria, which means they are consistent. The highest priority value is 048 for the teacher and human environment criteria, while the lowest is for the object environment criteria. The test results show there is no difference between manual calculations and the proposed system. DSS can support stakeholder decisions to adopt traffic conscious school policies and strategies.
The Representation of Environmental Issues in an EFL Module for Primary School: A Multimodal Analysis
Authors: Ibrahim Muhammad Agung , Damayanti Ika Lestari
Published: April 2024

By using a qualitative textual analysis with a multimodal approach, this study explores how environmental issues are depicted in the relations of verbal and visual texts of an EFL module for primary school. The data were obtained from an EFL module for the fifth grade made by the EYL Course Design course students at one university in Bandung. In analysing the data, this study utilized three frameworks: Halliday and Mathiessen’s (2014) Transitivity system, Kress and van Leeuwen’s (2006) Visual Grammar, and Royce’s (1998) Intersemiotic Complementarity. The findings show that, by using a story, the module represents three points of drought-related environmental issues: the causes, the effects, and the solutions. The causes are mostly depicted visually by Transactional Action processes in which the Actors use water as the Goal or the Means in excess. The effects are mostly depicted verbally by Mental, Existential, and Relational processes that indicate human need for water. Meanwhile, the solutions are mostly depicted verbally by Material processes in which water (Goal) becomes an element to be saved by the Actors. In terms of complementarity, most of the elements of verbal and visual texts are completed by each other. Hence, encouraging students’ comprehension of the module, especially related to environmental issues, could be expanded by identifying both texts as a single whole.
ELEMENTOS FUNDAMENTAIS PARA CONSTRUÇÃO DA TECNOLOGIA EDUCACIONAL DIGITAL PARA CUIDADORES FAMILIARES DE IDOSOS COM DEMÊNCIA
Authors: Brum Karize , Leite Funchal Camacho Alessandra Conceição
Published: April 2024

Objetivos: Caracterizar o perfil sociodemográfico, identificar dúvidas/dificuldades dos cuidadores familiares de idosos com demência no domicílio e fontes de informações/orientações para o cuidado. Métodos: Pesquisa do tipo exploratória, descritiva e de abordagem qualitativa.  Foram realizadas entrevistas com roteiro semiestruturado dividido em 4 blocos (perfil sociodemográfico, dificuldades e dúvidas, a busca de informações/orientações e internet como fonte de informações/orientações) com 22 cuidadores familiares de um Centro de Referência de Niterói, Brasil. Para análise dos dados, realizou-se análise temática. Resultados: A internet é um meio de ensino-aprendizagem para os cuidadores; A Tecnologia Educacional Digital deve ter: acesso via celular; formatos dos conteúdos com textos e vídeos; troca de experiências entre os cuidadores; ser intuitiva, acessível e informativa; ícones fáceis de navegar; conteúdos sobre alterações comportamentais e cognitivas dos idoso com demência, sobre a doença e suas fases e sobre como conduzir os cuidados minimizando os conflitos; informações de fontes confiáveis com linguagem apropriada. Considerações finais: Os elementos fundamentais possibilitaram construir uma tecnologia educacional digital no formato de portal na web aplicável à realidade a partir da escuta dos cuidadores familiares.
Biota mapping: traditions and current development issues. International conference dedicated to the 85th anniversary of Doctor of Geographical Sciences Alexey Vasilyevich Belov and Doctor of Biological Sciences Valery Fedorovich Lyamkin (Irkutsk, October 10–12, 2023)
Authors: Volkova E. A.
Published: April 2024

A scientific conference dedicated to the issues of biota mapping, as well as the memory of two prominent biogeographers — Alexey Vasilyevich Belov and Valery Fedorovich Lyamkin, was held on October 10–12, 2023 in Irkutsk at the Institute of Geography named after V. B. Sochava of the Siberian Branch of the Russian Academy of Sciences. At the conference, it was proposed to discuss theoretical and practical problems in the development of methods for mapping vegetation and animal populations, as well as remember the scientists who made a significant contribution to the development of this area of cartography not only in Siberia, but also throughout the country. In the plenary report “The history of the development of cartographic study of biota at the V. B. Sochava Institute of Geography” it was noted that methodological techniques and approaches of geobotanical and zoogeographic mapping were developed by V. B. Sochava, A.V. Belov, V. F. Lyamkin and L. P. Sokolova. A significant part of the reports at the conference was devoted to mapping the population of various animal groups. This note briefly describes works concerning geobotanical mapping. Scientists from Moscow, St. Petersburg, Ulan-Ude, Yalta, Minsk and other cities demonstrated their work in this direction, exchanged views on the use of traditional approaches and new technologies in the compilation of geobotanical maps.
Brain Tumor Detection Enhanced with Transfer Learning using SqueezeNet
Authors:   Faculty of Computer Sciences, Department of Computer Science, Lahore Garrison University, DHA phase 6, Lahore 54000, Pakistan, Baig Muhammad Daniyal , Haq Hafiz Burhan Ul ,   Faculty of Computer Sciences, Department of Information Technology, Lahore Garrison University, DHA phase 6, Lahore, 54000, Pakistan, Akram Waseem ,   Faculty of Information Technology, University of Central Punjab, Lahore, 54000, Pakistan, Awan Aamir Mushtaq ,   Faculty of Computer Sciences, Department of Computer Science, Lahore Garrison University, DHA phase 6, Lahore, 54000, Pakistan
Published: April 2024

The study introduces the Brain Tumor Detection Transfer Learning Algorithm (BTDTLA), a novel model that employs transfer learning and a comprehensive dataset of brain images. The algorithm makes a significant breakthrough in the precise detection of brain tumors, particularly critical for cases requiring swift intervention. Development and testing of BTDTLA are conducted on MATLAB 2018. The evaluation metrics, including sensitivity, specificity, precision, accuracy, and the Matthews correlation coefficient, highlight the robust performance of BTDTLA, positioning it as a valuable tool for medical practitioners. This underscores the algorithm's potential to advance practices for early and accurate brain tumor detection. The study emphasizes BTDTLA's pivotal role in contributing to the field, underscoring its significance in enhancing medical practices related to brain tumor diagnosis.
The impact of text topic and assumed human vs. AI authorship on competence and quality assessment
Authors: proksch Sebastian , Schühle Julia , Streeb Elisabeth , Weymann Finn , Luther Teresa , Kimmerle Joachim
Published: April 2024

While Large Language Models (LLMs) are considered positively with respect to technological progress and abilities, people are rather opposed to machines making moral decisions. But the circumstances under which algorithm aversion or algorithm appreciation are more likely to occur with respect to LLMs have not yet been sufficiently investigated. Therefore, the aim of this study was to investigate how texts with moral or technological topics, allegedly written either by a human author or by ChatGPT, are perceived.In a randomized controlled experiment, n=164 participants read six texts, three of which had a moral and three a technological topic (predictor text topic). The alleged author of each text was randomly either labeled “ChatGPT” or “human author” (predictor authorship). We captured three dependent variables: assessment of author competence, assessment of content quality, and participants’ intention to submit the text in a hypothetical university course (sharing intention). We hypothesized interaction effects, that is, we expected ChatGPT to score lower than human authors for moral topics and higher than human authors for technological topics and vice versa.In contrast to the hypotheses, we did not find any significant interaction effects. However, ChatGPT was consistently devalued compared to human authors across all dependent variables: There were main effects of authorship for assessment of the author competence, β=.78, 𝑡(326)=7.36, p<.001, 𝑑=0.81; for assessment of content quality, β=.30, 𝑡(326)=3.31, p<.001, 𝑑=0.37; as well as for sharing intention, β=.85, 𝑡(326)=5.07, p<.001, 𝑑=0.56. There was also a main effect of text topic on the assessment of text quality, β=.21, 𝑡(326)=2.35, p=.019, d=0.26. These results are rather in line with previous findings on algorithm aversion than with algorithm appreciation. We discuss the implications of these findings for the acceptance of the use of LLMs for text composition.
Understanding appropriation of digital self-monitoring tools in mental health care – an implementation pilot
Authors: de Thurah Lena , Kiekens Glenn , Weermeijer Jeroen Dennis, Merlijn , Uyttebroek Lotte , Wampers Martien , Bonnier Rafaël , Myin-Germeys Inez
Published: April 2024

INTRODUCTION: Digital self-monitoring tools, such as the Experience Sampling Method (ESM), enable individuals to collect detailed information about their mental health and daily life context and may help guide and support person-centered mental health care. However, like many digital interventions, ESM struggles to move from research to clinical integration. To guide the implementation of self-monitoring tools in mental health care, it is important to understand how people appropriate them in everyday life. Therefore, this study examined how clinicians and their clients adopted, adapted, and incorporated an ESM-based self-monitoring tool into therapeutic practices. METHODS: We piloted an ESM tool within a psychiatric hospital setting. After utilizing the tool, seven clinicians and 11 clients participated in semi-structured interviews. A thematic framework analysis was performed focusing on participants’ (1) prior knowledge and expectations, (2) actual use in practice, and (3) potential future use of ESM tools.RESULTS: Only one clinician had experience using digital self-monitoring tools. Although many participants experienced benefits they also encountered challenges in using the ESM tool. Clinicians experienced mismatches between system usability and their technical competencies, clients found it difficult to comply with the self-assessments, and interpreting self-monitoring data was challenging for both groups. DISCUSSION: This study shows that clinicians' and clients’ choice to adopt and integrate self-monitoring tools into clinical practice is influenced by the balance between perceived added benefits and the effort required to achieve them. Future research should address the identified potential barriers to clinical implementation of digital self-monitoring tools and further explore non-adopters' views.
Ideological Expectations and Support for Redistribution among the Wealthy
Authors: Resmini Fabio , Rojas Daniel
Published: April 2024

When and why do wealthy individuals support redistribution? Under standard political economy models, preferences for redistribution are a function of material conditions. The partisanship literature, on the contrary, argues that partisan identification determines redistributive preferences. We move beyond this dichotomy to argue that the ideology of the government enacting redistribution is a key factor explaining support for redistribution among the wealthy. Through survey experiments during the 2022 Colombian election, we find that the wealthy are more likely to support redistribution under a right-wing government and expect redistribution under the Right to be more efficient and less economically disruptive. We find heterogeneous preferences across ideological positions: in particular, the Right diminishes expectations of macroeconomic instability in both right- and left-wing wealthy.
Domain-specific cognitive flexibility: Shift-readiness adaptations for task- and attention-switching are non-transferrable
Authors: Siqi-Liu Audrey , Longman Cai S. , Egner Tobias
Published: April 2024

Adaptive behavior in the real world involves navigating competing goals in a constantly changing environment. Doing so requires cognitive flexibility across multiple domains, including flexibility for switching between tasks, i.e., activating the appropriate rules for stimulus-response associations, and flexibility for shifting attention between different sources of sensory inputs. Previous work in task-switching and attention-shifting has separately shown that people are capable of strategically modulating both types of flexibility based on the relevant current demands. That is, people become better at switching between tasks (e.g., digit magnitude versus parity tasks) when switches are frequently cued and better at shifting attention between different stimulus locations when shifts are frequently cued. Across five experiments in the current study, we investigated the possibility of cognitive flexibility transfer between the domains of task switching and attention shifting when the frequency of switches/shifts are orthogonally manipulated within the same context. We implemented a novel paradigm that involved concurrent cued task switching and attentional shifting. We varied either the proportion of task-switches or attention-shifts across blocks of trials, while keeping the proportion of the other constant. If flexibility adaptations in biased contexts transferred across domains, switch/shift frequency manipulations in one domain should affect flexibility across both domains. Instead, in Experiments 1-3, we found that performance costs of attentional shifts remained constant across task-switch biased contexts despite adjustments in task-switch costs; likewise, in Experiments 4-5, we found that costs of switching between tasks remained constant across blocks that varied in attention-shift frequency despite adaptations in attention-shift costs. These results suggest that probabilistic learning and adjustments of attention-shifts and task-switches to meet contextual demands occur independently.
Future and past episodic cues reduce temporal discounting and increase control allocation during inter-temporal choice
Authors: Brands Angela , Shebotinova Elena , Herbertz Annika , Knauth Kilian , Marteau Annabelle , Peters Jan
Published: April 2024

Steep temporal discounting is a hallmark of a range of mental disorders, including substance use disorders and addiction. Episodic cueing during temporal discounting tasks reliably increases the selection of larger-but-later options, but the specific computational mechanisms through which episodic processes impact decision-making have remained elusive. Here, we addressed this issue using hierarchical Baysian computational modeling via temporal discounting drift diffusion models in a pre-registered multi-day study (https://osf.io/rhz2f/). Participants (n=20 males, n=21 females, n=1 non-binary) completed temporal discounting tasks with either future or past cues (compared to control trials), on two separate testing days. Model-agnostic analyses confirmed the prediced increase in larger-later choices following both future and past cueing. Computational modeling revealed that, in addition to reducing the discount rate, both future and past cues reliably increased decision thresholds in a temporal discounting drift diffusion model with non-linear drift rate scaling. Results highlight thatin addition to reducing the discount rate, episodic cueing elicits dynamic control adjustments that serve to counteract the impact of noise in the evidence accumulation process, thereby facilitating selection of options with better long-term value.
Advancing forest aboveground biomass mapping by integrating GEDI with other Earth Observation data using a cloud computing platform: A case study of Alabama, United States
Authors: Sandamali Janaki , Narine Lana
Published: April 2024

Forest aboveground biomass (AGB) is a crucial indicator for monitoring carbon and requires accurate quantification. This study aimed to advance AGB estimation using open access Earth observation (EO) data and cloud computing, focusing on Alabama, USA. The specific objectives were to: (1) develop a workflow for creating a 30 m forest AGBD map with GEDI, using GEE, (2) evaluate and compare GEDI-derived maps from ecoregion-specific models with estimates derived from a generalized modeling approach, and (3) compare GEDI-derived AGBD map with existing field inventory data and global AGB product. Utilizing GEE, GEDI footprint-level (~25 m diameter) AGBD was extrapolated with EO and ancillary data by employing random forest machine learning. Two estimation approaches were assessed: statewide and ecoregion-specific models for Alabama's six ecoregions. Ecoregion models showed superior accuracy (R²: 0.34–0.73; RMSE: 49.09–53.78 Mg/ha) compared to the statewide model (R²: 0.32; RMSE: 70.48 Mg/ha). Validation with Forest Inventory and Analysis data and the European Space Agency Climate Change Initiative AGBD yielded R² of 0.50 and 0.81, and RMSE of 33.95 Mg/ha and 83.12 Mg/ha, respectively. The study underscores the importance of ecoregion-specific modeling and demonstrates the potential of open-access EO data and platforms in advancing AGB estimation.
Evaluation for the Impacts of Numerical Advection Schemes and Turbulence Modeling on Gray-Zone Simulation of a Squall Line
Authors: Chen Jianan , Shi Xiaoming
Published: April 2024

With increasing computational power, atmospheric simulations have approached the gray zone resolutions where energetic turbulent eddies are partly resolved. The representation of turbulence in the gray zone is challenging and sensitive to the choices of turbulence models and numerical advection schemes. Some numerical advection schemes are designed with numerical dissipation to suppress small-scale numerical oscillations. However, at gray zone resolutions, the numerical dissipation can dampen both numerical and physical oscillations. In this study, we first evaluate the impact of advection schemes on the simulation of an idealized squall line at two gray zone resolutions (1 and 4\,km). We found that at the 4-km resolution, the implicit numerical dissipation from advection schemes is excessive because it dampens convective cells across all scales and weakens the front-to-rear flow, producing insufficient convective precipitation and excessive stratiform precipitation. At the 1-km resolution, the numerical dissipation is desired, because without it, excessive spurious numerical oscillations develop into convections, weakening the large-scale front-to-rear flow through increased entrainment and mixing. The dynamic reconstruction model (DRM) of turbulence is designed to model both forward- and backscatter, having the potential to counter the effect of numerical dissipation from the advection schemes. Previous studies suggest superior performances of DRM in gray zone simulations for various atmospheric flows. Here, we show that although DRM can improve the squall line simulation at the 4-km resolution where the numerical damping is unwanted, it cannot improve squall line simulations at the 1-km resolution where numerical dissipation is needed.
Insights into neural basis of human memory derived from intracranial recordings
Authors: Zheng Jie , Rutishauser Ueli
Published: April 2024

Intracranial recordings offer unparalleled spatiotemporal resolution in the study of human memory. In this chapter, we highlight key intracranial recording studies that have provided major new insights into the neural mechanisms of spatial memory, working memory, episodic memory, and emotional memory. We discuss the clinical scenarios that have been used to examine memory in humans and highlight key single neuron, field potential, and electrical stimulation studies. We summarize how single cell studies have by now revealed several functional cell types including spatially tuned cells, concept cells, visually selective cells, and memory selective cells that jointly provide cellular level insight into the architecture of human memory. At the whole-brain level, we emphasize that inter-areal interactions mediated by oscillations are a critical part of human memory, thereby highlighting the interaction of different memory, perceptual, and cognitive systems in the service of memory.
Might a metaphysical Platonic realm entail equality of experience?
Authors: Khan Tariq
Published: April 2024

A short speculative essay postulating that a separate Platonic world does exist and that it may contain every conscious experience. Mankind’s historical progression from equality of rights to equality of opportunity, andeventual attempts at equality of wealth or property, are used to imply a trend toward an eventual final dreamor destination of an equality of experience. Literary, scientific, historical, and logical examples are used to support the idea. The future of the exponential growth of A.I. is also considered in this framework.
Mixed Reality Alters Motor Planning and Control
Authors: Wang Xiaoye Michael , Nitsche Michael , Resch Gabby , Mazalek Ali , Welsh Timothy N.
Published: April 2024

Compared to physical unmediated reality (UR), mixed reality technologies, such as Virtual (VR) and Augmented (AR) Reality, entail perturbations across multiple sensory modalities (visual, haptic, etc.) that could alter how actors move within the different environments. Because of the mediated nature, goal-directed movements in VR and AR may rely on planning and control processes that are different from movements in UR, resulting in less efficient motor control. The current study involved participants performing manual pointing movements on Müller-Lyer illusion stimuli to examine the relative contributions of movement planning and online control in UR, VR, and AR. Compared to UR, movements in VR were slower but were equally variable with a comparable level of online control, whereas movements in AR showed comparable speed but exhibited higher variability and less online control. Further, movements in VR and AR demonstrated a greater illusory effect in endpoint accuracy relative to UR. These findings suggested that participants in VR adopted an active compensation strategy to overcome the impact of less efficient online control, whereas participants in AR did not. The findings that movement planning and execution in VR and AR are fundamentally different from those in UR provide valuable insights into the potential neural systems engaged during movements in different realities.
Modeling longitudinal trajectories of word production with the CDI
Authors: Day Trevor K. M. , Borovsky Arielle , Thal Donna , Elison Jed
Published: April 2024

The MacArthur-Bates Communicative Development Inventories (CDI) are widely used, parent-report instruments of language acquisition. Here, we focus on the word-inventory sections of the instruments, and show two different approaches to modeling CDI data, based on real-world needs. First, we show that Words & Gestures data collected out-of-range can be robustly adjusted to Words & Sentences scores. Second, we demonstrate a novel application of Gompertz growth curves to longitudinal CDI data, especially when the same timepoints were not collected between individuals (i.e., an accelerated longitudinal design). Gompertz curves provide a “growth rate” or an “age at maximum growth” parameter that can be used to summarize vocabulary development. We compare these parameters between healthy developing children in two longitudinal cohorts, as well as a cohort of children with a diagnosis of speech disorder, language disorder, or learning or reading disability, who we show to have lower growth rates. We hope these analyses and results inform future work on longitudinal CDI analyses.
Effects of Mutilation Images on Self-Control Behavior and Delay Discounting
Authors: Barbosa Karen Viviana Henao , Clavijo-Alvarez Alvaro Arturo , Velasquez Julian C. , Hurtado-Parrado Camilo
Published: April 2024

Flora et al. (1992) found that intense noise increased impulsive responses during a task in which college students chose between smaller-sooner (SS) and larger-later (LL) options to earn points exchangeable for money (SS – impulsive option; LL – self-control option). Furthermore, the removal of the aversive noise did not result in increments in LL responses, and vice versa (i.e., self-control preference continued when the noise was later introduced). Considering human physiological responses to pictures of human mutilation resemble those produced by aversive stimuli (e.g., heart rate changes), we explored if the disruptive effects of aversive stimuli on self-control behavior could be reproduced with images of mutilation. Matching-to-sample trials depicting the images of mutilation were interspersed between the choice trials with different probabilities (Random-Time 0 s, 20 s, and 30 s). A delay-discounting task was introduced before and after the choice task to obtain k and Area Under the Curve (AUC) values, which were used to explore a relationship with performance during the choice task. A within-subjects design with 24 participants was implemented. Each probability of matching mutilation images was an experimental condition. Initial exposure to high probability of matching overall produced indifference (~ 50% LL responses). Proportion of LL responses increased when the probability of the images was reduced. Participants not initially exposed to the images developed preference for the self-control option and maintained it during subsequent conditions when probability of matching images changed. Delay-discounting measures were not related to performance during the choice task, possibly because of a magnitude effect (smaller reinforcers are discounted more steeply than larger reinforcers). Future studies must address the divergent results in this line of research, especially the fact that noise and visual stimulation produced mostly indifference, whereas cold water (Flora et al., 2003) is the only stimulus that has been shown to increase impulsive choice beyond indifference.
The Imitation Game: Examining Regulatory Challenges of Political Deepfakes in the European Union
Authors: Karunian Alia Yofira
Published: April 2024

The global impact of deepfake technology is becoming increasingly evident everywhere around the world, including in the European Union. The worrisome consequences of deepfake technology extend not only to the film and entertainment industry but also within the political sphere. Such development could contribute to the further erosion of truth and trust, which weaken core democratic functions and norms. Against this backdrop, this dissertation aims to answer the following research question: how should political deepfakes be regulated in the EU? In conclusion, this dissertation reveals four distinct conclusions regarding the implications of political deepfakes on democracy and fundamental rights, as well as the inadequacies of existing regulations in addressing the associated challenges within the EU.
The Nobel Peace Prize Increased the Global Support for Women’s Organizations: Prize and Praise in International Relations
Authors: Kikuta Kyosuke
Published: April 2024

We examine the effects of the Nobel Peace Prize on the support for women’s rights groups to highlight the roles of the positive symbolic action, “prize and praise,” in international relations. Based on psychological theories, we argue that the Nobel Peace Prize increases the support for women’s rights activists by reassuring, persuading, and pressuring people across the world. We substantiate the claim by exploiting the as-if random assignment of interviews around the announcements of the Nobel Peace Prizes. The analyses indicate that when the prize was awarded to women’s rights activists, it increased people’s trust in women’s organizations. The analysis of mechanisms implies that the prize pressured conservative people to amend their attitudes. We also explore macro-level implications, finding that the prize decreased violence against women. However, these changes are short-lived. These results imply that symbolic actions entail real-world changes; however, the question of how to sustain these changes remains.
Eclipse: How Darkness Shapes Violence in Africa
Authors: Kikuta Kyosuke
Published: April 2024

Although darkness has long been associated with insecurity, the link remains speculative. I fill the gap by examining the effect of solar eclipses on violence. Expanding on psychological theories, I hypothesize that eclipse-induced darkness evokes fear, which in turn is misattributed to outgroups, thereby triggering violence. I contrast this argument with a tactical explanation, suggesting that darkness allows armed groups to secretly kill civilians. I test the “eclipse effect” by exploiting exogenous variations in the dates and locations of solar eclipses for 1997–2022 in Africa. The analysis indicates a spike in violence on the days of solar eclipses. To explore the mechanisms, I examine the initiators and original texts of violent events, weather conditions, ethnic folklore, and individual-level surveys. The analyses support the tactical rather than psychological explanation. These findings warn against assuming that “irrational” or “superstitious” African people overreacted to eclipses; armed groups rationally can use darkness for their tactical purposes.
Companies with at least 10 Employees Selling Online across the Italian Regions
Authors: Leogrande Angelo
Published: April 2024

The following article analyzes Italian companies with more than 10 employees that use online sales tools. The data used were acquired from the ISTAT-BES database. The article first presents a static analysis of the data aimed at framing the phenomenon in the context of Italian regional disparities. Subsequently, a clustering with k-Means algorithm is proposed by comparing the Silhouette coefficient and the Elbow method. The investigation of the innovative and technological determinants of the observed variable is carried out through the application of a panel econometric model. Finally, different machine learning algorithms for prediction are compared. The results are critically discussed with economic policy suggestions.
Analisis Blibiometrik Operating and Economic Exposure Dengan Publish or Perish dan VosViewer
Authors: Yudhi Prasetiyo  , Wisnantiasri Sila Ninin , Diky Paramitha  , Elen Puspitasari
Published: April 2024

This research aims to review comprehensive studies in an exploratory manner regarding operating exposure or economic exposure as an influence of fluctuations in the forex rate or foreign exchange rates on the present value of future cash flows in companies. The sample consists of 100 documents published in the period 2013 to 2023 using the crossref database with the keywords, forex rate, present value (PV), future value cash flow. This research conducted a systematic literature review using a bibliometric approach. Publish or perish and VOSviewer software were used to perform graphical analysis of bibliometric data and visualization of research results. Based on the visualization obtained, there are five types of colors as a clustering of links and relationships in terms of Operating Exposure which are searched in the database based on keywords. The first cluster is red which includes Indonesian stock exchange, earnings, stock price, value relevance, economic value. Then for the green cluster free cash flow and firm value. Then for the yellow cluster corporate governance, cash holding, and firm. Then for the light blue cluster, it is value and future direction. Then for the blue cluster it is rate, risk and overall tax advantages, and the last cluster in purple is net present value, return and cost. Bibliometric analytics can systematically review a number of studies to provide a less biased perspective. This also helps future research by combining research based on connectivity between keywords to better understand operating exposure in terms of company financial management.
Pengaruh Akuntabilitas, Moralitas Individu, Kesesuaian Kompensasi, Pengendalian Intern Dan Partisipasi Masyarakat Terhadap Potensi Fraud Dalam Pengelolaan Dana Desa
Authors: Adyaksana Rahandhika Ivan , Lusmino Basia  , Putri Wahyuni
Published: April 2024

The research aims to examine effect of accountability, individual morality, suitability of compensation, internal control and community participation on potential for fraud in managing village funds. The population in this research is aimed at village officials in Playen Distict, Gunung Kidul Regency with a sample of 92 participants. Sampling was done by purposive sampling method. The data use is primary. Analysis research data use multiple linear regression. Based on test results, it shows that the variables of accountability (X1), individual morality (X2), suitability of compensation (X3), internal control (X4) and community participation (X5) have a negative influence on potential for fraud in village fund management (Y).
Pengaruh Profitabilitas Dan Kepemilikan Manajerial Terhadap Kebijakan Dividen Dengan Ukuran Perusahaan Sebagai Variabel Moderasi
Authors: Arista Pradnyani I Gusti Agung , Pramita Indraswari I Gusti Agung Ayu , Nila Rahayu
Published: April 2024

This research aims to analyze the influence of profitability and managerial ownership on dividend policy, with company size as a moderating variable. Research was conducted on banking sector companies on the IDX for the 2018-2021 period. The sample was determined using a purposive sampling technique, with the sample in this study totaling 32. The results of the study concluded that profitability has a positive influence on dividend policy, while managerial ownership has a negative influence on dividend policy. Company size is proven to moderate the relationship between profitability and dividend policy, as well as weakening the relationship between managerial ownership and dividend policy.
Pengaruh Disiplin Kerja, Kepuasan Kerja, Dan Lingkungan Kerja Terhadap Kinerja Karyawan Divisi Konstruksi Pada PT Telkom Akses Yogyakarta
Authors: Inayat Hanum Indriati  , Ratnaningrum Natalia , Kharisma Putri Soraya
Published: April 2024

This research aims to determine the influence of work discipline, job satisfaction, and work environment on performance.This research was conducted in December 2022- December 2023 in the construction division of PT Telkom Access Yogyakarta. This research is quantitative research with a total of 60 employees as respondents and the sampling technique uses saturated samples. Data collection techniques were carried out by means of interviews and questionnaires. The data analysis technique used is multiple linear regression analysis with the help of SPSS 25.0 for windows. The results of this research show that partially work discipline has a positive and significant effect on performance with a regression coefficient of 0.379 and sig 0.003 <0.05. Job satisfaction has a positive and significant effect on performance with a regression coefficient of 0.250 and sig 0.020 <0.05. The work environment has a positive and significant effect on performance with a regression coefficient of 0.126 and sig 0.016 <0.05. Simultaneous test results (F test) show that work discipline, job satisfaction and work environment have a significant effect on performance, as evidenced by the F value of 13.395 and sig 0.000 < 0.05. The influence of work discipline, job satisfaction and work environment is shown by the Adjusted R Square value of 0.387, the remaining 0.613 is influenced by other variables not examined in this research.
Pengaruh Citra Produk, Pengalaman Produk, dan Brand Tribalism Terhadap Loyalitas Produk Pada Produk Thrift Fashion Di Yogyakarta
Authors: Zalzalah Guruh Ghifar , Arum Sari Pinesti Ragil , Farhan Fikri
Published: April 2024

This research aims to determine the influence of product image, product experience, and brand tribalism on product loyalty in Thrift Fashion products in Yogyakarta. The study was conducted in the Special Region of Yogyakarta in 2023, with a sample size of 130 respondents. The technique used in this research employed non-probability sampling using purposive sampling method. Data analysis in this research used IBM SPSS Statistics 26 with multiple linear regression analysis technique at a significance level of α = 0.05. The results of the research indicate that partially, product image, product experience, and brand tribalism have a positive and significant effect on product loyalty. Simultaneously, product image, product experience, and brand tribalism have a significant effect on product loyalty. The magnitude of the influence of product image, product experience, and brand tribalism on product loyalty is indicated by the Adjusted R Square value of 56%.
Pengaruh Komitmen Organisasi, Personal Cost, Dan Tingkat Keseriusan Kecurangan Terhadap Intention Whistleblowing
Authors: Marwan Daud Mayang , Tumirin
Published: April 2024

The purpose of this study is to examine how organizational commitment, personal cost, and the severity of the situation influence the willingness to report violations. This quantitative research involved 74 civil servants employed by regional organizations. A questionnaire using a purposive sampling technique was used to collect data. The SmartPLS version 3 application is used for data processing. The research results show that although organizational commitment and personal cost do not have a significant effect on whistleblowing intentions, the seriousness of the incident has a significant effect on these intentions.
Jóvenes indígenas: expectativas y experiencias en la Universidad Intercultural de Chiapas
Authors: Nájera Castellanos Antonio de Jesús , Sántiz Gómez Abraham , Gómez Escobar Ángel Horacio
Published: April 2024

Las universidades interculturales en México han manifestado el reconocimiento de la diversidad epistémica y las múltiples formas en las que son construidas (Dietz y Mateos, 2019). Esta contribución centra su atención en la experiencia y las expectativas de estudiantes universitarios originarios de localidades indígenas de los Altos de Chiapas inscritos en la licenciatura en Lengua y Cultura de la Universidad Intercultural de Chiapas. Para la construcción de los datos, se utilizó el Google Forms con 12 items que abordan las expectativas de los estudiantes en relación con la licenciatura que cursan y su proyección al egresar. La muestra se conformó de 72 estudiantes de dos ejes formativos: 40 del eje de formación básica y 32 del eje de formación profesional. Entre las principales motivaciones para el ingreso, se menciona la oportunidad de hablar la lengua originaria en las aulas y el desarrollo de habilidades para el habla y la escritura, mientras que la principal expectativa es incursionar laboralmente en el campo de la docencia aun cuando el perfil de egreso apunta hacia otras posibilidades, dado que el imaginario social del ser docente en el ámbito indígena genera procesos de prestigio.
Toward Academic Excellence: Integrating Quality Management Strategies in Leading Madrasas' Development
Authors: Taj Abu Bakar , Abidin Achmad Anwar , Syahroni Asep , Srinio Fuad , Suyitno
Published: April 2024

Integrated quality management is a management approach that prioritizes student satisfaction and continually strives for improvement to foster a culture of quality in madrasas. It emphasizes attention to inputs, processes, and outputs to enhance student satisfaction. Against this backdrop, this research focuses on (1) the planning of integrated quality management for the development of exemplary academic madrasas at MAN 1 Jombang and (2) the implementation of integrated quality management in fostering the advancement of exemplary academic madrasas at MAN 1 Jombang. This research employs a descriptive qualitative methodology, utilizing data collection techniques such as interviews, observations, and documentation. The findings reveal that (1) the management planning at MAN 1 Jombang emphasizes student satisfaction through the provision of relevant learning materials, quality teachers, effective teacher-student interactions, and infrastructure development, and (2) the madrasa's leadership by focusing on its vision, mission, and goals, adopting strategic approaches, prioritizing performance, demonstrating strong commitment, and engaging in self-evaluation, contributes to enhancing the quality culture of the madrasa.