bluuebunny/crossref_metadata_2025 huggingface dataset:
Multiregional accounting of corporate carbon emissions
Authors: Davis Steven , Dumit Andrew , Li Mo , Maldonado Yohanna , Steffen Michael , Stevenson Martha , Boldyreva Tatiana , Suh Sangwon
Published: November 2024

Corporations routinely use environmentally-extended input-output models to estimate and report greenhouse gas emissions upstream in their supply chain. However, the most widely used of such models assume that the structure of supply chains and the emissions intensity of industries match those of a single region—usually the U.S. or the U.K. Here, we use a high-resolution multiregional input-output model to demonstrate the scale and pattern of emissions that may be missed when using these single-region models. We find that the upstream emissions of all the companies who report to CDP are in the aggregate 2.0 GtCO2e greater when estimated by a multiregional model instead of a U.S.-based single-region model, with especially substantial differences related to manufacturing sectors of moderate emissions intensity (i.e., 0.4-0.8 kgCO2e/$). Although the magnitude of emissions embodied in international trade is well-recognized in the context of national inventories, our results underscore the importance of international differences in emissions for corporate carbon accounting. High-resolution, multiregional models can both improve the accuracy of corporate emissions inventories and help companies to prioritize both primary data collection and emissions reduction efforts.
Decision Processes in Continuous-Outcome Retrieval from Visual Working Memory
Authors: Smith Philip L. , Garrett Paul Michael , Saber Saam , Qian Hang , Surette-Ferguson Estelle
Published: November 2024

Decision-making models of memory retrieval hold that across-trial variability in memory representations and within-trial variability in matching the contents of memory to the retrieval cue both contribute to variability in the speed and accuracy of retrieval decisions. In contrast, most recent studies of visual working memory (VWM) using continuous-outcome decision tasks, in which responses are made on continuous scales, do not distinguish between memory variability and decision-process variability in characterizing retrieval errors and are silent on decision times. We combined a successful model of continuous-outcome decisions, the circular diffusion model (CDM), with a peaked, heavy-tailed distribution of memory representations, the Jones-Pewsey distribution, to characterize the speed and accuracy of continuous-outcome decisions about the hues of saturated and desaturated color patches in four experiments that varied the difficulty of the decision task and the memory load of the VWM task. The CDM provided a good account of the marginal and joint distributions of response times and response errors and the anisotropies of stimuli in different parts of the color space across all experiments. VWM precision followed either an inverse square-root law or power law in set size, depending on saturation, as predicted by sample-size and attention-weighted sample-size models, respectively. The results support a model in which the capacity limits of VWM reflect the statistical properties of a population of noisy neurons that are divided among items in memory under attentional control and determine the precision of recalled items.
Was Aristotle right about moral decision-making? Building a new empirical model of practical wisdom
Authors: McLoughlin Shane , Thoma Steve , Kristjánsson Kristján
Published: November 2024

This article presents the development and validation of the Short Phronesis Measure (SPM), a novel tool to assess Aristotelian phronesis (practical wisdom). Across three studies, using large, nationally representative samples from the UK and US (demographically matched to census data), we employed a systematic and rigorous methodology to examine the structure, reliability, and validity of the SPM. In Study 1a, exploratory factor analysis identified ten distinct, internally reliable components of phronesis, challenging the traditional four-component Aristotelian model. Study 1b confirmed these findings in two additional nationally representative samples from the UK and the US. In Study 1c, the SPM demonstrated strong test-retest reliability over two months. Study 2 used network analysis to uncover interrelations among the components, allowing for the creation of a new and empirically driven neo-Aristotelian model of phronesis. In Study 3, we tested criterion validity, showing phronesis correlates positively with flourishing and predicts flourishing two months later, demonstrating strong predictive validity. Phronesis also correlated with Big 6 and Dark Tetrad personality traits, moral disengagement, and Moral Foundations in expected directions. Importantly, phronesis predicted key outcomes—related to flourishing, moral disengagement, and morally relevant aspects of personality—beyond what Moral Foundations alone explained, with an average increase in predictive power of 13.7% across all outcomes. The SPM is quick to administer (15-20 minutes), making it a valuable tool for researchers and practitioners in psychology, education, and professional ethics. The introduction of the neo-Aristotelian Phronesis Model, and the identification of central phronesis components, offers actionable insights for moral psychologists and moral educators, suggesting areas of focus that could yield broad, positive effects across related traits, providing a significant contribution to both theory and practice.
The Power of Others: A Qualitative Mixed-Method Study of Norm Adoption and Norm Adherence on Social Media
Authors: Masur Philipp K. , Diel Emma
Published: November 2024

This paper explores social norms on social media, emphasizing the need for inductive research to capture the nuanced processes of norm adoption and adherence. Adopting a qualitative mixed-method approach, the study combines screen recordings, eye-tracking, think-aloud protocols, and semi-structured interviews to analyze how users perceive and adapt to social norms. Findings from 21 participants reveal distinct patterns of norm adoption with participants actively inferring platform-specific norms through visual cues (e.g., type of photos) and contextual signals (e.g., comments). Conversely, norm adherence on familiar platforms appears to involve more unconscious, habitual inferences shaped by both close peer influence and platform-specific expectations. The study highlights variations in norm processes across platforms, where Instagram promotes curated, idealized self-presentation, while TikTok encourages authenticity. Moreover, individual characteristics, platform affordances, and peer influence were found to shape self-presentation and self-disclosure and social norm adherence in diverse ways, underscoring the complexity and at times the striking uniqueness of digital self-expression of individual people. In sum, this research contributes to social norm theory by differentiating between norm adoption and adherence and by underscoring the impact of both interpersonal connections and platform culture on online behaviors.
Banking Credit and Innovation Technology: a Global Perspective
Authors: Leogrande Angelo , Arnone Massimo , Costantiello Alberto
Published: November 2024

The article reviews the linkage of banking credit with technological innovation at global level underlining that access to finance is important for and innovation. The domestic credit percentage involving the private sector to GDP allows projects of high risk but with a very high reward, projects that are key in increasing productivity and global competitiveness significantly. This paper explores that dynamic in infrastructure, creative industries, and greening technologies. Indeed, findings from such studies do show positive correlations, such as between credit and infrastructure development or creative exports, suggesting the capability of systems of finance to transform. These findings indicate the positive relationships that exist in some contexts, such as reduced R&D investment. Taking into account the ecological bottom line, this research underlines ecosystem-based strategies of banking, green credit, and poised financial regulations for sustainable development. Synthesizing into this paper provides actionable insight into how policy makers, financial institutions, and researchers can tap into the synergy between the financial system and innovation.
Totemism in North Asia
Authors: Selstad Leif
Published: November 2024

Totemism is a form of social organization whereby families in a local community distinguish each other by means of natural tokens called totems. A totem is a symbolic ancestor in the shape of an animal, plant or some other phenomenon. Typical totems can be bear, wolf and eagle. The theoretical supposition is that local totems complement and supplement each other. There is a certain number of totems in each local community, for instance 12, and the number of local families have to correspond to this number. The basic premise is that local resources, forests and wildlife, had to be preserved and used in a sustainable manner, and by restricting the number of totemic units, here called totem clans, it was possible to limit the number of people who exploited the local resources, thus preserving them.

The basic assumption underlying this work is that totemism once was a global ideology. Two qualifications that must be made concern chronology and social complexity. In terms of chronology, roughly 10,000 years ago totemism was nearly global and universal in human societies. Today this is different. Truly totemic societies are few and far between. In relation to social complexity, societies where people are in less contact with nature usually are without totemism or show it only in vestigial forms. And in relation to chronology, most researchers assign totemism to a time period that no longer exists. This is in spite of the fact that even today thousands of people belong to totemic societies. The modern researcher simply cannot imagine that people identify themselves as animals: ‘I am a wolf’. This becomes a conceptual blind-spot, and is a basic case of ethnocentrism. We cannot imagine things that do not belong in our lifeworld. Put more bluntly: we cannot imagine the lifeworld of other people.

Yet totemism has been a universal paradigm and a model for social organization across the globe for most parts of the prehistoric and historic eras. People have been bears, eagles and turtles for most of human existence – comfortably so. One reason why this is not known, is that it makes modern people uncomfortable, and nobody are more queasy about this issue than social scientists. This book lays queasiness aside and bluntly asserts that people were totemists.
Local Responses to Authoritarianism Under the Taliban Emirate
Authors: Semple Michael
Published: November 2024

This chapter explores the local responses to the re-establishment of the Islamic Emirate in August 2021, focusing on Zurmat District in Paktia Province in Afghanistan. Using personal notes, published sources, and detailed interviews with local key informants, the chapter examines how community representatives engaged with leaders from the Islamic Emirate of Afghanistan in a tightly controlled political environment. The main argument is that, despite severe constraints, local actors managed to retain some political space through non-confrontational rhetoric and practical community mobilization. The chapter concludes that while Zurmat’s local politics operated under significant restrictions, these actors could still influence local governance to some extent. For meaningful national political dialogue, strategies must ensure non-Taliban participants are free from these constraints.
Whistling in the Wind: The Inevitable Return of Poppy Cultivation to Afghanistan
Authors: Mansfield David
Published: November 2024

This chapter examines the Taliban’s efforts against drug production and trade in Afghanistan following the Taliban’s new drug edict in October 2023. Utilizing data from satellite imagery analysis, the authors extensive field work in Afghanistan, and reports by the United Nations Office on Drugs and Crime, the chapter explores the political and economic impacts of the Taliban’s drug ban, as well as its implementation. The main argument presented is that while the ban may lead to significant political and economic ramifications, including undermining the livelihoods of millions involved in poppy cultivation, it could also provoke rural unrest and weaken Taliban rule. The chapter concludes that international engagement needs a more realistic approach to counternarcotics, that recognizes (i) the uneven nature of the Taliban’s current efforts with a focus on banning poppy cultivation, not prohibiting the trade in opium and its derivatives, and (ii) that transitioning away from illicit drug production requires a growing economy and the creation of large numbers of jobs to support the land-poor - not simply a focus on alternative crops targeted at the landed. As such, any future counternarcotics efforts should not be pursued as “stand alone” interventions as was the case in the past, but integrated across the entire development effort in Afghanistan.
Climate Crisis in Taliban-Ruled Afghanistan: The Need for an Alternate Approach
Authors: D’Souza Shanthie Mariet
Published: November 2024

Following the Taliban’s seizure of power in August 2021, Afghanistan plunged into a severe humanitarian and economic crisis. Since then, an already dire situation has been compounded by frequent natural disasters such as earthquakes, floods, and droughts, many of which are linked to climate change. This chapter argues that the reduction in international aid and attention given to the country, and the Taliban’s inability to respond to these disasters effectively, have together aggravated the humanitarian and economic hardship faced by ordinary Afghans. If left unaddressed, this could result in increased cross-border migration, displacement, and violent extremism as poverty and unemployment levels rise. Drawing on more than a decade of engagement in fieldwork in Afghanistan, this chapter further unpacks and analyses the role of the international community in Afghanistan in addressing the climate crisis, elaborating pathways that go beyond a sole reliance on international NGOs for disaster response. The long-term strategy includes engaging the people and the Taliban regime in the global climate change conversations as part of environmental peace-building and incremental institution- and capacity-building in the governance sector to respond to the unfolding crisis effectively.
Recognition and the Taliban’s De Facto Future
Authors: Anderson Scott R.
Published: November 2024

This chapter delves into the dispute over the recognition of the Taliban. After reviewing and applying the relevant international legal framework to Afghanistan’s present conditions, it argues that multilateral recognition of the Taliban as a local or limited de facto authority could better address the legitimate needs of the Afghan people without requiring that the international community accept the Taliban as Afghanistan’s new government. This could in turn help alleviate the human costs of the status quo of non-recognition.
NDT Technique to Check Graphitization of Ductile and Cast-Iron Water Mains
Authors: Zamanzadeh Mehrooz , Chikkam Anil Kumar
Published: November 2024

An advanced, patented probe sensor provides early detection of water infrastructure problems caused by corrosion and harsh atmospheric conditions. Designed to detect graphitization in active pipelines, it identifies areas at risk of major failures early on. By using indirect methods like GIS mapping, in-situ soil resistivity testing, and structure-to-soil potential measurements, high-risk zones can be pinpointed. Once these areas are identified, the probe assesses the severity and depth of graphitization, providing a comprehensive evaluation of the pipeline’s condition. This allows for the implementation of effective corrosion management strategies, including cathodic protection systems, to prevent critical failures. This article describes the sensor system and provides a case study of its use. The technology received the 2024 Engineering Materials Achievement Award from ASM International.
Shape Memory Polymer Technology and Its Medical Applications
Authors: Hasan Sayyeda Marziya , Koller Maryanne , Nash Landon , Yeh Chung
Published: November 2024

With actuation capabilities that respond to temperature or light, the potential uses for shape memory polymers (SMPs) in the biomedical arena are on the rise. This article describes current and potential future uses of SMPs for medical devices.
Primeiro caso de Entamoeba em equino no Distrito Federal
Authors: Brito Michelle Aparecida de Abreu , Alves Maysa Palazzo , Gomes Nayara Ayres de Lacerda
Published: November 2024

This study reports the first confirmed case of infection by Entamoeba sp. in an equine in the Federal District (Brazil). An English Thoroughbred equine showed non-specific clinical signs, such as weight loss and behavioral changes. The parasitological examination of the feces revealed the presence of Entamoeba sp., in addition to other helminths. After diagnosis, the animal was treated with moxidectin and praziquantel, resulting in the elimination of the Entamoeba sp. This case demonstrates the importance of parasitological diagnosis in horses, even in those with nonspecific clinical signs. Entamoeba sp. in horses is a rare finding and highlights the need for additional studies to better understand the epidemiology and impact of this parasitic disease on equine health. Furthermore, the case highlights the importance of an accurate diagnosis and adequate treatment to guarantee the health and well-being of animals.
Exploring the Intersection of Dentistry and Dermatology: Oral Manifestations in Dermatological Conditions and Implications for Diagnosis and Treatment
Authors: Pandey Ashish
Published: November 2024

Dermatological conditions frequently present with oral symptoms, making the collaboration between dermatology and dentistry crucial. Oral manifestations are often an early sign of systemic dermatological conditions, necessitating the involvement of dentists in both diagnosis and management. This article explores the intersection of dermatology and dentistry, focusing on recent advancements in the treatment of oral lesions associated with dermatological diseases, including dermatitis and autoimmune conditions. A variety of dermatological diseases, such as lichen planus, pemphigus vulgaris, and systemic lupus erythematosus, present oral manifestations. These conditions can significantly impact a patient’s oral health and overall quality of life, often requiring a combined dermatological and dental approach to care.
Reverse Microvascular Surgery - a New Paradigm
Authors: Chittoria Ravi Kumar
Published: November 2024

Classically, a pedicle flap from harvesting to division & inset of flap takes 3 weeks to sometimes 4 weeks if flap delay is done before division of flap. Whereas microvascular free flap can be performed in single day. Moreover, with addition of escalator/lift concept in ladder of reconstruction, microvascular single stage flap is possible & favored. But there are reasons when even, if possible, microvascular flap is not done. In this study, author discuss these reasons/factors when single stage microvascular flap though not possible but still can be performed in two to three stages of each 2 hours duration. Further, author proposes a new paradigm of doing microvascular flap by converting single stage microvascular flap (of usual duration of approx 6 hours on an average) into multiple (two to three stages) of maximum two hours of duration. This study highlights the experience of performing one microvascular flap in three stages of each 2 hours duration for a case of post burn contracture deformity of left foot as patient refused for prolonged anesthesia required for single stage microvascular.
Targeting on the podocyte immune response in diabetic nephropathy: from pathogenesis to therapy
Authors: Su Yanyan
Published: November 2024

The dysfunction of the glomerular filtration barrier (GFB) is a main feature of diabetic nephropathy (DN). Podocyte, terminally differentiated epithelial cell, is located on the outer of the glomerular basement membrane and play a pivotal role in maintaining the integrity of GFB. Damage in podocyte leads to proteinuria in the early stages of DN and eventually develops into chronic kidney disease. Podocyte expresses certain immune characteristics and this may predispose them to immune injury in diseases. Immune-mediated podocyte injury is a vital pathogenic mechanism in DN. Numerous evidence indicate that podocytes serve as a target of immune response in both innate and adaptive immunity, which mediate the podocyte injury in DN. In this mini-review, we focus on recent developments involving in the immune mechanisms of podocyte injury in DN and provide recent advances in the therapeutic strategy of podocyte protection. This review offers valuable opinions for understanding immune-related mechanisms in podocyte injury and identification of potential therapeutic targets, which have significant implications for future research and clinical treatment.
Linguo-coaching as a Learner-centered Approach in Language Teaching and Learning: A Literature Review
Authors:   Suleyman Demirel University, Palmanova A. , Kassymova G.K. ,   Abai Kazakh National Pedagogical University
Published: November 2024

Linguo-coaching is a learner-centred method that combines language instruction with coaching methods. This review synthesises findings from several studies to examine the theoretical foundations, methods, and applications of linguo-coaching and associated practices. The article identifies gaps in the literature and suggests opportunities for future research, especially in Kazakhstan, by drawing on research that emphasises reflective and digital coaching for teachers. According to the results, linguo-coaching holds promise as a framework for encouraging learners' and teachers' autonomy, motivation, and professional development.
FISIOTERAPIA AQUÁTICA PARA O CONTROLE DOS SINTOMAS DE UMA PACIENTE COM ARTRITE REUMATOIDE: UM RELATO DE CASO
Authors: SEVERO JOSÉ , SANTOS RENATA BARRETO DOS , DANTAS DIEGO , DE SOUZA CAROLINE , VILLELA DÉBORA , FRANKLYN VICTOR , RIBEIRO ANA FLÁVIA , DE ARAÚJO MARIA DAS GRAÇAS , FERREIRA ANA PAULA
Published: November 2024

A fisioterapia aquática é uma opção terapêutica eficaz para diversas patologias osteomioarticulares, incluindo a artrite reumatoide (AR), que causa dor e restrição na mobilidade articular. Objetivo: avaliar os efeitos da fisioterapia aquática no controle da dor e na melhora funcional de uma paciente com AR. Relato de caso: este relato de caso está vinculado ao projeto de pesquisa aprovado pelo Comitê de Ética e Pesquisa (Parecer nº 2.878.059) e foi realizado no setor de Fisioterapia Aquática da Clínica Escola do Departamento de Fisioterapia da Universidade Federal de Pernambuco (UFPE). A paciente, sexo feminino, 67 anos, foi diagnosticada com AR e apresentava dores crônicas nos tornozelos (Escala Visual Analógica [EVA] = 8), marcha claudicante, amplitude de movimento de dorsiflexão de 12 graus (MID) e 18 graus (MIE), e flexão plantar de 34 graus (MID) e 38 graus (MIE). Havia também edema generalizado com cacifo em ambos os tornozelos. Foram realizadas 12 sessões de fisioterapia aquática duas vezes por semana, com duração de 50 minutos, incluindo hidrocinesioterapia, terapia manual subaquática, marcha subaquática em diferentes direções e exercícios de propriocepção e bombeamento tíbio-társico. Resultados: a paciente demonstrou motivação ao tratamento, apresentando redução significativa da dor (EVA = 6), melhora funcional da marcha com redução da claudicação, aumento da amplitude de movimento de dorsiflexão para 22 graus (MID) e 28 graus (MIE), e flexão plantar para 45 graus (MID) e 44 graus (MIE). O edema residual ficou restrito à região dos maléolos laterais em ambos os tornozelos. Conclusão: a fisioterapia aquática proporcionou uma melhora significativa na dor e na capacidade funcional para a marcha da paciente com AR.
Analysis of the Single Index Model Optimal Portfolio Using the Sharpe and Treynor Measurement Index Related to Covid-19
Authors: Salsabila Yumna Hanum , Sulistianingsih Evy , Debataraja Naomi Nessyana , Martha Shantika
Published: November 2024

The optimum portfolio is the preferred choice among investors for determining the most favorable combination of projected return and risk. This study seeks to ascertain the ideal portfolio performance of companies in the IDX30 index on the Indonesia Stock Exchange and know the value of the stock weight in each period, over three specific periods: before to the Covid-19 pandemic, at the peak of Covid-19 cases, and after a decline in Covid-19 instances. Stocks listed on IDX30 are stock companies that have high liquidity and large capitalization value on the capital market. The pre-Covid-19 era spanned from March 2019 to February 2020. The time of peak Covid-19 occurrences occurred from April 2021 to March 2022. Lastly, the period of declining Covid-19 instances extended from September 2022 to August 2023. The study employs the Single Index Model (SIM), using the Sharpe and Treynor measurement indices. The SIM will identify the relationship between the returns from each security and market returns to construct a portfolio. Meanwhile, Sharpe and Treynor Index measures the performance of portfolio. Based on the results of the analysis of optimal portfolio formation from 30 samples of IDX30 stocks, 4 stocks were obtained (ARTO, BBCA, BBRI, and BRPT) in the period before the Covid-19 pandemic, 14 stocks (ADRO, AKRA, ASII, BBCA, BBNI, BMRI, EMTK, ESSA, INCO, ITMG, MDKA, PTBA, TLKM, and UNTR) in the period when Covid-19 cases were peaking, and 7 stocks (AKRA, AMRT, BBCA, BBNI, BMRI, BRPT, and MEDC) in the period when Covid-19 cases were sloping. The Sharpe measurement index assessment had an average value in the period before the Covid-19 pandemic 1,7836; in the period when Covid-19 cases peaked it was 1,6051, and in the period when Covid-19 cases were sloping it was 0,7236. Meanwhile, the Treynor measurement index had an average value of in the period before the Covid-19 pandemic 0,8507; in the period when Covid-19 cases peaked it was 0,4095; and in the period when Covid-19 cases sloped it was 0,1317. The best period that has the highest Sharpe and Treynor index values is the period before the Covid-19 pandemic. The expected return value of the portfolio that was formed was 0,0601 in period I, 0,0509 in period II, and 0,0210 in period III. Meanwhile, the portfolio risk formed in period I was 0,1086, in period II it was 0,0150, and in period III it was 0,0089.
Dynamical Analysis of a Predator-Prey Model Involving Intraspecific Competition in Predator and Prey Protection
Authors: Resmawan Resmawan , Nuha Agusyarif Rezka , Nasib Salmun K. , Nashar La Ode
Published: November 2024

This article explains the interaction of the prey-predator model in the presence of wild harvesting and competition intra-specific predator populations and prey protection zones.  Model construction is based on literature studies related to the basic theory of the model and the biological properties between predator and prey populations. This study aims to look at the dynamic conditions of the predator-prey model in the form of the existence of prey and predator populations and the impact that occurs in the long term for both populations due to changes in parameter values. The model analysis begins with the formulation of the solution conditions and boundaries model, and next with the determination of the equilibrium point. Every equilibrium point is analyzed by the characteristic of its stability is neither local or global. The model owns three equilibrium points, namely the equilibrium point of population extinction (E_0), the equilibrium point of predator extinction (E_1), and the equilibrium point of persistence of the two populations (E_2). These equilibrium points are stable locally or globally if certain conditions are met. Next, it is shown that bifurcation proceeds Which describes the changing of characteristic stability point equilibrium Which depends on the threshold parameter values h_1, Ω^*, and ρ^*. In the end, numerical simulations are presented in the form of phase, time-series, and bifurcation diagrams to support the analytical results of the model, as well as to visually show the dynamic behaviour of the interaction between the two populations based on changes in predation levels, illegal harvesting, prey refuge zones, and intra-specific competition.
Equating by Using Circle Equation Approach: Applied Mathematics Formula for Prevent Discrimination
Authors: Iriyadi Deni , Rustam Ahmad , Hartati Hevriana
Published: November 2024

This study aims to determine the accuracy of the equating method that uses a circle equation approach in terms of its circular arc (Simplified Circle Arc). This research uses 2015 National Examination data from two questions packages. Using the number of preliminary samples as many as 2135 on the X and 2271 test devices on the Y test. After doing a Rasch analysis using a Mean Square Outfit (MNSQ), the data was acquired and analyzed. Following this, replication was performed up to a maximum of 50 times for each kind of data distribution. For each replication, up to a maximum of 50 respondents were selected from the original data set to be used as data for score equalization. The Root Mean Square Error (RMSE) statistic is then used to analyze the outcomes of the equating score. The results showed that the average RMSE group that has the same distribution will provide a lower RMSE value compared to groups that have different data distributions. The low average RMSE value indicates the accuracy of the equal of the scores performed. Thus, the use of the SCA method is highly recommended to equalize scores, especially in small samples in classes at school to prevent discrimination in grading.
Dual Optimization of Weighted Fuzzy Time-Series Forecasting: Particle Swarm Optimization and Lagrange Quadratic Programming
Authors: Zamelina Armando Jacquis Federal , Astutik Suci , Fitriani Rahma
Published: November 2024

Time series Forecasting is one of crucial techniques that helps with strategic decision-making and mitigating potential risks –One of which is Weighted fuzzy time series (WFTS). Moreover, the interval length of the WFTS plays a crucial role in its modelization and accuracy in predicting future values. Therefore, this research implements a dual optimization on WFTS, which are (1) Particle Swarm Optimization to find the optimum interval length of the WFTS and (2) a Lagrange quadratic to optimize the weight of the fuzzy interval. In this research, a univariate Average Air Temperature located in Malang is used to perform forecasting model. The dataset is taken from BMKG-Indonesia. This research aims to acquire an optimized interval length on fuzzy time series forecasting, i.e., improving its accuracy by finding the optimal interval length. Based on the result, the proposed dual optimization model outperforms the classical WFTS on forecasting. The proposed model excels based on the evaluation matrix values. It has been noticed also that implementing PSO to find the optimum interval length has improved the accuracy of the classical WFTS. The classical WFTS has MAPE and RMSE of 2.4 and 0.73, respectively, while the proposed dual optimized model has 1.01 and 0.3. This approach identifies the best interval values and provides optimum weights related to each data point, providing solid insights for air temperature forecasting.
Improving the Accuracy of Discrepancies in Farmers' Purchasing and Selling Index Prediction by Incorporating Weather Factors
Authors: Yulianti Silvina Rosita , Effendie Adhitya Ronnie , Susyanto Nanang
Published: November 2024

One measure that can be used to see the level of farmer welfare is the farmer exchange rate (NTP), which is a comparative calculation between the price index received by farmers (IJ) and the price index paid by farmers (IB), expressed as a percentage. In reality, NTP cannot explain the actual welfare situation of farmers because the ratio value has the potential to produce biased values. Another alternative that can be used to look at farmer welfare with less potential bias is to look at the difference between the sales index and the farmer purchasing index (ID). ID data forecasting can be a reference for developing and optimizing things that need to be improved in the agricultural sector. Despite the fact that a number of external factors, such as variations in the weather throughout the year, had a significant impact on the ID value, previous research used the ARIMA model to forecast without taking exogenous factors into account. Therefore, the goal of this research is to identify the optimal ARIMAX regression model for achieving accurate forecasting results with minimal error values. This research was carried out with limitations using data from the Central Statistics Agency and the Meteorological, Climatological, and Geophysical Agency in Central Java from 2008 to 2023. The first method in this research is to prepare the data, which involved collecting secondary data such as IJ and IB along with climate data such as rainfall, duration of sunlight, air pressure, wind speed, and rice prices. Next, calculate the difference between IJ and IB to determine the ID value. Then, verify the ID data's stationarity and perform AR and MA calculations. After determining the AR and MA values, construct an ARIMAX model that incorporates external factors, search for the optimal model, and utilize the optimal model to make future predictions. The results show that the accuracy of the ARIMAX model (1,1,0) has a better value than the accuracy of the ARIMA model (1,1,0), and the results obtained in this study are better than previous studies. The authors hope that the findings of this research will serve as a benchmark for the forecasting analysis of time series data in the agricultural sector, providing the local government with a foundation for policy decisions.
Application of the Fractal Geometry in Development Surya Majapahit Batik Motif
Authors: Juhari Juhari , Pratiwi Alfrista Anggraini
Published: November 2024

The Mandelbrot and Julia sets are generated through iterative mathematical functions applied to points in the complex plane. These operations enable the detailed and intricate patterns characteristic of these fractals, allowing for modifications and zooming to explore different regions of the sets. TThe Mojokerto Surya Majapahit batik motif is a motif that has eight corners. One way to develop a Mojokerto batik motif that is similar to Surya Majapahit is by applying the science of fractal geometry. Fractal geometry studies a fractal pattern that can change shape according to input parameters and the number of iterations carried out. This research was conducted to determine the application of Mandelbrot and Julia’s fractal geometry using geometric transformations to obtain batik motif variants that is similar to Surya Majapahit. There are three steps in forming this motif variant. First, generating Mandelbrot fractals and Julia fractals. Second, the patterns generated by Mandelbrot and Julia are applied using geometric transformations. The geometric transformations that will be used are rotation, dilation, and translation. Finally, these patterns will be modified by combining patterns implementing logic operations using Python computer applications. The results of this research obtained four variants of batik motif that is similar to Surya Majapahit. The difference in each variant lies in the order of transformation. Variant 1 and variant 3 can be carried out by changing the sequence of geometric transformations, namely rotation, translation and dilationVariant 1 is obtained by applying rotation, dilation, and translation to the Mandelbrot and Julia pattern. Variant 2 is obtained with the Mandelbrot pattern applying rotation, dilation with two different scales, and translation, while the Julia pattern only applied rotation and translation. Variant 3 is obtained by applying rotation, dilation and translation to the Mandelbrot and Julia pattern. Variant 4 is obtained with the Mandelbrot pattern applied by rotation, dilation with three different scales, and translation, while the Julia pattern was applied only by rotation and translation. Meanwhile variants 2 and 4 apply different rotations, dilation scales, namely 0.451 and 0.318, and translation to the Mandelbrot pattern.
Development of Mathematical Maturity through the Amalgamation of Computational Thinking and Technology-Enhanced Learning
Authors: Prabawa Harsa Wara , Rosjanuardi Rizky , Nurlaelah Elah
Published: November 2024

Advancements in technology and global information infrastructure have transformed education, leveraging a constructivist approach that enhances knowledge construction through student interaction with computer applications. The research aimed to explore the facilitation of enhancing mathematical maturity through the integration of technology in mathematics education using computational thinking. This research employed a qualitative method with a case study approach. The participants in this study were 15 Grade XI students from various classes of the Vocational High School, selected from a total of 159 students. The data collection techniques used in this research included observation and open-ended test instruments. The data analysis techniques involved data reduction, data presentation, and conclusion drawing. The research results show: (1) technology enhances mathematics education; (2) computers deepen mathematical understanding; (3) technology creates contextual learning environments for problem-solving; (4) combining computational thinking and technology aids in mastering mathematical concepts. The conclusion is that integrating computational thinking with technology-enhanced learning significantly fosters mathematical maturity among students.
Mathematical Model of COVID-19 Spread with Vaccination in Mataram City
Authors: Hattamurrahman Muhammad Putra Sani , Sianturi Paian , Sumarno Hadi
Published: November 2024

The COVID-19 pandemic has had a significant impact on public health worldwide.. Mathematical modeling is considered an alternative tool for understanding real-life problems, including the dynamics of COVID-19 spread. This is an applied research that purpose adds vaccination to Zeb et al. (2020) SEIQR model of COVID-19 spread and examines the dynamic of COVID-19 spread in Mataram City. First, we construct the new model by making assumptions. The fixed point and basic reproduction number (R_0 ) are then used to analyze the model using the next-generation matrix method. The next-generation matrix method is utilized to estimate the R_0 in a compartmental disease model. Two fixed points are acquired, specifically the disease-free fixed point, which is locally asymptotically stable under the condition R_0<1 determined by the Routh Hurwitz criterion via linearization using the Jacobi matrix. And the disease-endemic fixed point, which is locally asymptotically stable under the condition R_0>1 indicated by Lyapunov function. The population dynamics when R_0<1 and R_0>1 can also be observed through numerical simulation. The results of a numerical simulation indicate that giving the proportion of number vaccinated 62 per cent is effective in suppressing the number of infections.
Comparison of Vector Error Correction Model Prediction and Multiresponse Fourier Series, Case Study: Open Unemployment Rate in Indones IA
Authors: Suliyanto Suliyanto , Amelia Dita , Raya Kezya Bato , Evelyn Jennifer
Published: November 2024

Unemployment is someone who has been classified in the active labour force is looking for work at a certain wage level, but not getting the job they want. According to the International Monetary Fund (IMF) 2023, Indonesia is ranked second highest in Southeast Asia, ranked 16th in Asia and ranked 58th in the world with a percentage of 5.45%. The data used in this study is semester data (February and August) regarding the number of open unemployment according to the highest education completed in Indonesia taken from the website of the Central Statistics Agency (BPS) starting from 2000 to 2022. This study using comparison of multi response Fourier series regression with trigonometry method using Gamma and the Vector Error Correction Model (VECM). The result of this study is Fourier series regression method of the cos function with gamma is the best model in predicting because this method has smaller MAPE value compared to VECM method. The MAPE of Fourier Series method is 0.01%, in other hand the MAPE of VECM method is 18.90% which can be categorized as prediction results with the Fourier Series method are very accurate. The results of prediction are expected to be used as reference for government to making ideal future plan to minimalize the rate of open unemployment in Indonesia.
Comparative Analysis of Decision Tree and Random Forest Algorithms for Diabetes Prediction
Authors: Fadhlullah Aufar Faiq , Widiyaningtyas Triyanna
Published: November 2024

Diabetes Mellitus is a long-term medical disorder marked by high blood glucose levels that raise the risk of early mortality and organ failure. It has become an increasing global health problem, so making an accurate and timely diagnosis is urgently necessary. This study aims to diagnose people with diabetes mellitus by utilizing prediction techniques in data mining using experimental research. The prediction stage for diagnosing diabetes consists of four stages: dataset collection, data pre-processing, data processing, and evaluation. Data was obtained from Electronic Health Records (EHRs), namely the public "Diabetes Prediction Dataset". The pre-processing stage involves data filtering, attribute conversion, and class selection. The data processing utilizes random forests and decision tree models for diabetes prediction. The models were evaluated using accuracy, precision, and recall metrics. The results showed that the Random Forest algorithm produced an accuracy value of 93.97%, precision of 99.88%, and recall of 66.56%, with a computational time of 16s. Meanwhile, the decision tree algorithm produces an accuracy value of 93.89%, precision of 98.73%, and recall of 66.88%, with a computation time of less than 1s. Based on these results, it can be concluded that the Decision Tree algorithm is more effective because the difference in accuracy, precision, and recall values produced by the two algorithms does not have significant differences. However, the Decision Tree algorithm has the advantage of using computational time more effectively, which is needed in detecting diabetes because it is related to someone's life.
Analysis of Factor Affecting Tuberculosis Cases in West Java Province Using Panel Data Regression Approach
Authors: Saifudin Toha , Aisyah Arlisya Shafwan , Indrasta Irma Ayu , Amelia Dita
Published: November 2024

Tuberculosis (TB) is a disease that can cause death with the largest number of sufferers after COVID-19. In Indonesia, the number of TB cases reached 724.309 cases in 2022 with the highest number 184.406 cases in West Java Province. Given this situation, Indonesia must try to achieve the health target from SDGs, namely ending the TB epidemic by 2030. Therefore, this research aims to analyze the factors that have a significant influence on the incidence of TB in Indonesia, especially in West Java Province. The research focuses on four variables: percentage of poverty, number of diabetics, number of HIV/AIDS patients, and population density. To provide a more informative analysis, this research uses a combination of cross-section and time series data from 27 regions between 2020 and 2022. So, the method used according to the type of data is panel data regression including common effect, fixed effect, and random effect models. Based on statistical tests, namely through the chow test, hausman test, and lagrange multiplier test, it was found that the best model was fixed effect with an R-squared value of 90%. The research revealed that all the studied factors significantly influence the incidence of TB cases in West Java. The results of this study are expected to help the West Java government in an effort to reduce the number of TB cases and formulate policies by reducing the percentage of poverty and population density in West Java. By ensuring the availability of health facilities such as establishing health centers in densely populated areas and counseling programs also need to be conducted to underscore the importance of TB control in West Java.
Analysis Stability of the Model SEI_1 I_2 I_3 R on the Spread of TikTok User
Authors: Bahri Susila , Afdianti Sri , Zulakmal Zulakmal
Published: November 2024

TikTok addicts, namely content creators (I_1), people who shop (I_2), and people who watch TikTok content (I_3) in Indonesia, continue to increase from year to year. The dynamics of TikTok addicts are analogous to cases of disease transmission. This can be done because TikTok users (S) can gradually increase to become account owners (E), then because there is interaction between account owners and groups of TikTok addicts, TikTok addicts increase, increase or spread. However, TikTok addicts can recover (R) and become vulnerable again over time. Each TikTok addict can have different negative impacts, such as wasting time, getting inaccurate information that can spread people, being deceived, and can disrupt mental health such as depression. Therefore, it is necessary to know which group of TikTok addicts has the greatest influence on the increase in TikTok users in Indonesia so that the government can take action to reduce the increase in TikTok users. In this research, the mathematical dynamics model (〖SEI〗_1 I_2 I_3 R)was first constructed. Analysis of the stability of the model's equilibrium point is carried out by determining the eigenvalues and the Jacobian matrix to obtain an equilibrium point that is free from the influence of Tik Tok addicts, asymptotically stable if R_0=0.941019<1. This means that the influence of TikTok addicts on increasing TikTok users is slowly decreasing and will disappear from the population as time goes by. The endemic equilibrium point is asymptotically stable if R_0=1.011756>1. This means that the influence of TikTok addicts on the increase in TikTok users will remain in the population and will increase over time. Numerical simulations were carried out using MAPLE software.