bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Mobile App That Addresses Interpretability Challenges in Machine Learning–Based Diabetes Predictions: Survey-Based User Study
Authors: Hendawi Rasha , Li Juan , Roy Souradip 
Published: November 2023

Background
Machine learning approaches, including deep learning, have demonstrated remarkable effectiveness in the diagnosis and prediction of diabetes. However, these approaches often operate as opaque black boxes, leaving health care providers in the dark about the reasoning behind predictions. This opacity poses a barrier to the widespread adoption of machine learning in diabetes and health care, leading to confusion and eroding trust.

Objective
This study aimed to address this critical issue by developing and evaluating an explainable artificial intelligence (AI) platform, XAI4Diabetes, designed to empower health care professionals with a clear understanding of AI-generated predictions and recommendations for diabetes care. XAI4Diabetes not only delivers diabetes risk predictions but also furnishes easily interpretable explanations for complex machine learning models and their outcomes.

Methods
XAI4Diabetes features a versatile multimodule explanation framework that leverages machine learning, knowledge graphs, and ontologies. The platform comprises the following four essential modules: (1) knowledge base, (2) knowledge matching, (3) prediction, and (4) interpretation. By harnessing AI techniques, XAI4Diabetes forecasts diabetes risk and provides valuable insights into the prediction process and outcomes. A structured, survey-based user study assessed the app’s usability and influence on participants’ comprehension of machine learning predictions in real-world patient scenarios.

Results
A prototype mobile app was meticulously developed and subjected to thorough usability studies and satisfaction surveys. The evaluation study findings underscore the substantial improvement in medical professionals’ comprehension of key aspects, including the (1) diabetes prediction process, (2) data sets used for model training, (3) data features used, and (4) relative significance of different features in prediction outcomes. Most participants reported heightened understanding of and trust in AI predictions following their use of XAI4Diabetes. The satisfaction survey results further revealed a high level of overall user satisfaction with the tool.

Conclusions
This study introduces XAI4Diabetes, a versatile multi-model explainable prediction platform tailored to diabetes care. By enabling transparent diabetes risk predictions and delivering interpretable insights, XAI4Diabetes empowers health care professionals to comprehend the AI-driven decision-making process, thereby fostering transparency and trust. These advancements hold the potential to mitigate biases and facilitate the broader integration of AI in diabetes care.
Los receptores del ingreso familiar de emergencia del municipio de La Matanza: notas desde y sobre el primer año de pandemia
Authors: Dettano Andrea 
Published: November 2023

Las estrategias de abordaje de la situación sanitaria declarada (Decreto N°260/2020) por la pandemia por COVID-19, consistieron en diferentes formas de aislamiento, lo que implicó la interrupción de la salida al trabajo y con ello la limitación de las posibilidades de reproducción de las condiciones materiales. En este contexto singular, en Argentina, se implementó por medio del Decreto 310/2020 el Ingreso Familiar de Emergencia, una prestación monetaria no contributiva, destinada a compensar la pérdida o grave disminución de ingresos de personas afectadas por la situación de emergencia sanitaria. Considerando la pandemia como fenómeno global que asume contornos diferenciales en cada territorio, este escrito se propone describir algunos rasgos –como resultado de una encuesta auto-administrada no probabilística– de la población encuestada del Partido de La Matanza (Provincia de Buenos Aires) que solicitó la prestación previamente referida en el primer año de pandemia.
El análisis realizado permite afirmar que la población solicitante del IFE en La Matanza presenta características similares en relación con abordajes previos de receptores de políticas sociales en el Partido: bajo nivel educativo, así como se trata de población joven y en su mayoría mujeres. A su vez, se desempeñan en ocupaciones de baja calificación o informales, presentando una vez más, un escenario complejo y de superposición de precariedades que, en algunos casos, empeora según zonas de dicho territorio.
Aproximaciones al clientelismo político: un concepto polisémico entre los enfoques instrumentales y relacionales
Authors: González Guerrero Rafael Isaías 
Published: November 2023

La noción del clientelismo político asocia una variedad de ideas que describen al fenómeno, desde la compra y coacción del voto, el intercambio de favores por votos e inclusive se vincula con actos de corrupción. Sin embargo, el uso del concepto sigue generando vacíos sobre su especificidad y uso dentro del campo de las ciencias sociales, lo cual dificulta la aprehensión de este y su aplicación como herramienta metodológica en la investigación social. Razón de lo anterior, el ensayo que se presenta a continuación plantea proporcionar un panorama actual respecto a perspectivas de estudio que han abordado al fenómeno, con la finalidad de identificar cómo se desenvuelve en las sociedades democráticas y así
construir una definición sobre el mismo. Se trata de una propuesta que busca proporcionar los elementos necesarios para el entendimiento del tema y abrir el debate actual sobre la importancia y alcance que tiene para la compresión de los problemas sociales persistentes.
Learning Arabic For Children (Analysis of the Application of the Amtsilati Method to MIT Nurul Islam Semarang)
Authors: Moh Syakur  , Ach. Hasymi Hashona  
Published: November 2023

Arabic language learning for children in urban areas is far from ideal. Arabic in Indonesia is commonly identified with Pesantren and does not receive enough attention in urban areas. However, at MI Nurul Islam Semarang City, Arabic language learning for children gets enough attention from the founding father. Parents through committees often hold meetings to discuss children's learning achievements, including Arabic. One of the forms of attempt is to apply the Amtsilati method in Arabic language learning. The Amtsilati method is an alternative for Arabic teachers to make it easier for children to understand grammatical and word form in Arabic. To find out the information, researchers use field-based qualitative research methods with a descriptive approach. The required data is obtained by observation, interview, and documentation. The study found that the Amtsilati method is based on memorizing Arabic rules through song verses that are equipped with examples and adjusted to the level of children's abilities. Using this method, students who are able to learn Arabic well can even explain the arrangement and position of words in Arabic sentences. So that this finding becomes a recommendation for Arabic teachers so it can be used in Arabic learning, especially for learning Arabic grammar.
Informativeness of Key Audit Matters: Evidence from China
Authors: Goh Beng Wee , Lee Jimmy , Li Dan , Wang Muzhi 
Published: November 2023

SUMMARY
This study examines whether the key audit matters (KAMs) disclosed in expanded audit reports as a part of recent regulatory reforms are informative for investors in an emerging economy setting. Using the recent adoption of expanded audit reports for firms listed exclusively in Mainland China, we find robust evidence that the abnormal trading volume and earnings response coefficients are higher and that stock price synchronicity is lower during the postadoption than preadoption period. In additional tests, we find evidence that KAMs are more informative for non-state-owned enterprises, smaller firms, and firms with a smaller analyst following. Finally, we find that investors respond to the characteristics of KAM disclosures, providing corroborative evidence of the informativeness of these disclosures. Overall, our study provides systematic evidence that KAMs are incrementally informative for investors in an emerging economy.
Data Availability: The data are available from the public sources cited in the text.
JEL Classifications: M41; M42; M48.
Cataloging the Marketplace of Assurance Services
Authors: Bauer Tim D. , Boritz J. Efrim , Fiolleau Krista , Pomeroy Bradley , Vitalis Adam , Wang Pei 
Published: November 2023

SUMMARY
We identify 33 areas where assurance services other than financial statement audits are currently offered or are emerging and conduct an extensive web search to document the contextual features of the services in each area. Using a framework for the expansion of assurance services, we analyze these features by asking: (1) Does the subject matter relate to financial information or controls? (2) Are criteria available to evaluate the subject matter? The answers allow us to categorize each area based on whether it represents an expansion opportunity to a traditional, but hypothetical, CPA firm. We then compare our expectations against observed areas where real-world firms have a presence. Finally, we report on two roundtables with senior assurance leaders to validate our findings and enhance our understanding of what is needed for each area to become, or continue to be, well-positioned for expansion by CPA firms.
Forecasting Earnings Using k-Nearest Neighbors
Authors: Easton Peter D. , Kapons Martin M. , Monahan Steven J. , Schütt Harm H. , Weisbrod Eric H. 
Published: November 2023

ABSTRACT
We use a simple k-nearest neighbors algorithm (hereafter, k-NN*) to forecast earnings. k-NN* forecasts of one-, two-, and three-year-ahead earnings are more accurate than those generated by popular extant forecasting approaches. k-NN* forecasts of two- and three-year (one-year)-ahead EPS and aggregate three-year EPS are more (less) accurate than those generated by analysts. The association between the unexpected earnings implied by k-NN* and the contemporaneous market-adjusted return (i.e., the earnings association coefficient (EAC)) is positive and exceeds the EAC on unexpected earnings implied by alternate approaches. A trading strategy that is long (short) firms for which k-NN* predicts positive (negative) earnings growth earns positive risk-adjusted returns that exceed those earned by similar trading strategies that are based on alternate forecasts. The k-NN* algorithm generates an empirically reliable ex ante indicator of forecast accuracy that identifies situations when the k-NN* EAC is larger and the k-NN* trading strategy is more profitable.
Data Availability: Data are available from the public sources described in the text.
JEL Classifications: C21; C53; G17; M41.
Federal Funds Rate Spillover Effect On Emerging Market Banking Liquidity And Capital – Evidence From Indonesia
Authors: Ridho Wahyu Fahrul 
Published: November 2023

This paper examines the spillover effect of the fed fund rate (FFR) on emerging banking liquidity and capital in emerging markets, especially in Indonesia, using the Structural Equation Model (SEM). Data were collected from the Indonesia Central Bank and Financial Services Authority. Our model reveals a significant indirect negative relationship between FFR, banking liquidity, and capital. This relationship was examined both directly and indirectly using the model. While the FFR influence was robust, the impact on liquidity and capital was translated through the local bank rates. It is found that rising interest rates would still result in tighter liquidity to some extent. FFR also impacts capital decisions because the rising interest rate might incentivize managers to borrow from a lower market environment. Thus, observing the indirect relationship, the impact of the FFR depends on the local central bank monetary policy transmission to mitigate the spillover effect resulting from developed economy monetary policy.
Pilot landscape and design-based programme to foster student environmental literacy
Authors: Passos Rosa Tayana , Boromisza Zsombor 
Published: November 2023

Abstract
This paper reports a pilot programme conducted in a Hungarian school to foster environmental literacy among students using landscape design principles. This programme utilized a design-based learning approach and incorporated soft skills to develop students’ environmental understanding and engagement. In the period of four weeks, participants autonomously designed solutions for their schoolyard while following the design process. Data collection methods included questionnaires, interviews, observation, and analysis of the productions. The results indicated improved understanding of landscape design, increased awareness of the schoolyard, and enhanced soft skills among the participants. The findings provide insights for future programme iterations.
Landscape-based design as an instrument for sustainable development in heritage conservation
Authors: Rusu Raluca Ramona , Ciobotă Alexandru 
Published: November 2023

Abstract
The project for restoring and valorizing the “Jumelţ” iron furnace historical monument dating from the 19th century and located in Zimbru village, Arad County, has been substantiated by a series of analyses and specialized investigations. The landscape study, based on a hybrid methodology, has led to a specific set of knowledge of the local physical and social conditions and to the highlighting of the relations between the heritage object and its proximity. In conclusion, the knowledge generated by the landscape research has directly influenced the design process, has indicated the legitimacy of reconnecting the heritage monument to its context, as a non-speculative design approach, and has also facilitated the integration of sustainable development measures.
Injuries in the landscape: The Suseni quarry – A case study from Transylvania, Romania
Authors: Lihăt Ildikó , Ványolos Endre , Henning Anna Imola , Hegedüs Noémi Melitta , Szekely-Varga Zsolt , Kentelky Endre 
Published: November 2023

Abstract
Mining and quarrying operations exert a substantial influence on both the environment and nearby communities. Plenty of them can be found in mountainous areas of Transylvania. These activities, which involve the excavation of expansive open pits and the disruption of soil and vegetation, can lead to adverse consequences such as soil erosion, deforestation, habitat degradation, and water contamination. Mining and quarrying operations carry notable consequences for both the environment and the nearby communities. The interventions of contemporary humans have changed the landscape on an unprecedented scale. The signs of human involvement are apparent in numerous locations in the Giurgeului Depression; the Suseni quarry site is an example of a place that necessitates a comprehensive rehabilitation plan.
Effect of Machining on Mechanical Properties of Borosilicate Glasses
Authors: Václavek Lukáš , Tomáštík Jan , Čtvrtlík Radim 
Published: November 2023

Abstract
Although optical properties are essential for materials for optical purposes, their mechanical properties must also be considered as they directly govern their practical applicability as well as their machining. The machining of optical glasses is mainly carried out by mechanical removal of the material using free or bonded abrasives. The relationship between the local mechanical properties of three types of borosilicate glasses used to produce optical elements (mirrors) and the type of surface machining was investigated. The samples were machined using two approaches, namely 7-axis CNC surface machining and conventional manual machining. Advanced analysis of nano/micro-mechanical properties was performed on glass samples using quasi-static nanoindentation and microindentation and dynamic impact test complemented by the analysis of the acoustic emission signals generated during the mechanical tests.
The results show a difference in mechanical properties between industrial and optical borosilicate glasses. The type of machining has a strong influence on studied mechanical properties and surface quality. Glasses manufactured by CNC have more pronounced acoustic emission signal and crack more than glasses manufactured by hand. The different behavior of hand- and CNC-machined surfaces can be linked to different subsurface damage caused by different contact conditions between the workpiece and the instrument/abrasive. As a result, a different density of surface and especially (near)-subsurface flaws are present in the glass. Simax is slightly softer than BG33 glass, which together with the less pronounced AE may indicate a lower amount of subsurface cracks/damage.
Revolutionizing the Building Envelope: A Comprehensive Scientific Review of Innovative Technologies for Reduced Emissions
Authors: Narbuts Jānis , Vanaga Ruta 
Published: November 2023

Abstract
This paper reviews innovative building envelope technologies that can improve total building energy efficiency and reduce greenhouse gas emissions. The building envelope has a significant impact on energy and thermal performance, making various technologies like phase change materials, aerogel, and active and adaptive systems essential for enhancing the building envelope’s energy efficiency. Phase change materials reduce energy consumption by lowering peak heating and cooling loads, improving thermal comfort. Paraffin wax is considered the most dependable phase change material for building envelopes, as it can decrease energy consumption for heating and cooling. Study shows that active PCM thermal energy storage system can reduce room temperature by 6.8 °C in summer. Aerogel, in comparison, is recognized for its exceptional insulation capabilities and low density that minimize heat transfer and boost thermal insulation in buildings. Silica aerogel’s outstanding feature is its capacity to offer thermal performance that surpasses traditional insulation materials by 2–4 times, thereby delivering substantial energy savings of up to 35 %. Active and adaptive systems, such as smart windows and kinetic facades, enable real-time control of building envelope performance, improving energy efficiency and indoor comfort. Smart windows can lead to annual energy savings up to 35.9 kWh/m2 compared to traditional windows, and kinetic facades can reduce cooling loads for buildings up to 21 %. The review assesses various adaptive facade solutions for their suitability in diverse climate zones, versatility in application and energy efficiency. Despite the existence of some limitations and challenges, such as high costs and insufficient understanding of their long-term performance, the continuous development and deployment of these technologies can still yield a significant contribution to improving building energy efficiency and mitigating greenhouse gas emissions.
Analysis of cardiovascular risk factors as predictors for coronary artery disease stenosis severity
Authors: Abduh Saugi , Rizaldy Rheza 
Published: November 2023

The risk factors for coronary artery disease (CAD) include age, hypertension, diabetes mellitus (DM), total cholesterol levels, smoking status, and obesity, with central obesity being of particular concern. However, there is a lack of research on the connection between CAD risk factors and the severity of stenosis in the Indonesian population, specifically in Central Java, as assessed by the Gensini score. The purpose of this study was to analyze hypertension, diabetes mellitus, total cholesterol levels, smoking status, body mass index (BMI), and waist circumference (LP) as predictors of the severity of CAD stenosis assessed using the Gensini score. A cross-sectional study was conducted on CAD patients at RSI Sultan Agung for the period of 2018-2021. The risk factors for CAD studied were age, gender, blood glucose (GDS), blood pressure, total cholesterol, smoking status, BMI, and LP. The degree of stenosis was grouped using gensini score into severe stenosis if the vessel narrowing was 40% and mild-moderate if ≤40%. The data were analyzed using logistic regression test. Gender, smoking status, BMI, and LP had a significant relationship to the severity of stenosis as assessed using the Gensini score. The results of multivariate analysis showed that gender, smoking status, BMI, and LP could increase the risk of CAD with the severity of severe stenosis as much as 2,774; 1,959; 2,269; and 1,883 times respectively. Gender, smoking status, BMI, and LP can be used as predictors of the severity of coronary artery disease stenosis as assessed using the Gensini score.
ANALISIS KESALAHAN SISWA SMPN 2 TELUKJAMBE TIMUR DALAM MENJAWAB SOAL TIMSS BERDASARKAN PROSEDUR NEWMAN
Authors: Imanudin Defa , Sutirna Sutirna 
Published: November 2023

Penelitian ini bertujuan untuk menjelaskan apa saja yang jenis kesalahan yang dilakukan siswa dalam menyelesaikan soal TIMSS dengan menggunakan metode analisis kesalahan Newman. Subjek dalam penelitian adalah siswa kelas VIII-J SMPN 2 Telukjambe Timur. Jenis penelitian dilakukan dengan menggunakan penelitian deskriptif dengan pendekatan kualitatif. Pengumpulan data yang dilakukan dengan metode observasi, tes, dan wawancara. Analisis data yang digunakan menurut Miles dan Huberman yaitu dengan mereduksi data, lalu menyajikan data dan menarik kesimpulan. Hasil dari penelitian ini berdasarkan analisis kesalahan Newman menunjukan bahwa terdapat 18% kesalahan dalam jenis membaca soal, 13% kesalahan memahami soal, 15% kesalahan transformasi, 16% keterampilan proses dan 26% kesalahan dalam menuliskan/menyimpulkan jawaban. Faktor terjadinya kesalahan yang dilakukan oleh siswa adalah siswa kurang telitinya dalam menjawab soal, siswa tidak mencermati pertanyaan soal sehingga siswa tidak dapat menangkap maksud dari soal, kurangnya penguasaan konsep oleh siswa, siswa juga terkadang ceroboh dan terburu-buru dalam menjawab soal sehingga mereka tidak melakukan pengecekan kembali terhadap jawabannya. Sebaiknya guru dapat mengajarkan siswa untuk lebih teliti dalam menjawab soal-soal sehingga tidak terjadi lagi kesalahan yang diakibatkan dari kecerobohan dan kurang teliti.
TIME SERIES MOVING AVERAGE BERBASIS WEB DENGAN SHINY R
Authors: Sauddin Adnan , Irwan Irwan , Astuti Astuti 
Published: November 2023

Penelitian ini membahas mengenai pembuatan shiny R untuk analisis time series moving average berbasis web. Adapun tujuan penelitian ini yaitu untuk mengetahui bagaimana cara membuat shiny R berbasis web untuk Moving Average. Hasil penelitian ini menghasilkan sebuah aplikasi shiny R yang berbasis web yang dapat digunakan untuk mengolah data time series. Nama aplikasi ini yaitu LSDA. Aplikasi ini dapat dibuat dengan cara membuat script ui dan server, kemudian mendeploy dan mengunggah aplikasi ke web. dari semua tahap ini akan menghasilkan sebuah link. Link ini dapat dibagikan kepada orang lain melalui social media. Aplikasi ini dapat diakses secara gratis serta dapat digunakan oleh semua kalangan tanpa harus mengunduh aplikasi R dan menguasai bahasa pemrograman