Efficient Nearly Piecewise Continuous Signal Basis Expansion by Precision Calculation by Hsin-Jung Lee, Cheng-Che Lee, Kuei-Chen Chen, Shao-Yun Luo, Shu-Ping Chang, Jian-Jiun Ding

“…Many one-dimensional (1D) signals, including ECG signals, economic data, particle distributions, seismic waveforms, image rows, and traffic statistics, are nearly piecewise continuous. …”
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SINGLE EVENT EFFECTS RADIATION TESTING REQUIREMENTS: A BAYESIN AN APPROACH by Armen V. Sogoyan, Anatoly A. Smolin, Anastasia V. Ulanova, Alexander I. Chumakov, Andrey V. Yanenko, Dmitry V. Boychenko

“…The analysis reveals that the uncertainty in testing requirements estimation is predominantly influenced by the prior information and its representation, while accounting for sample-to-sample variability and particle fluence measurement errors only slightly increases test requirements. …”
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A Clustering Approach to Identify High-Risk Taxi Drivers Based on Self-Reported Driving Behavior by Sina Rejali, Kayvan Aghabayk, Nirajan Shiwakoti

“…To identify risky driving behaviors among taxi drivers, the Driver Behavior Questionnaire (DBQ) was used. By collecting data from 548 taxi drivers, exploratory factor analysis identified the significant components of DBQ including “Inattention errors,” “Inexperience errors,” “Lapses,” “Ordinary violations,” and “Aggressive violations.” …”
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Artificial Intelligence Impact on Responsabilities in Ethics Health Policy by AGHEORGHIESEI Doina-Monica, SFRIJAN Elena-Mihaela

“…In addition to its obvious benefits, AI raises critical concerns related to data privacy, diagnostic accuracy and liability in case of errors. …”
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PHONOLOGICAL CHALLENGES IN INDONESIAN SYLLABIFICATION: INSIGHT FROM KOREAN LEARNERS by Nur Utami Sari'at Kurniati, Young Hun Koh, Dong Hoon Kim

“…It involves 14 Korean learners and data for this study was obtained through documentation. …”
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Aplikasi Absensi Pegawai Berbasis Website by Ade Triawan, Vella Elka Putri, April Zahmi

“… The manual attendance process still used at the Wali Nagari Siguntur Office causes several issues, such as reporting delays, potential data manipulation, and difficulties in monitoring employee attendance. …”
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Digital elevation models and their use for assessing soil erosion rates on arable lands by K.A. Maltsev, V.N. Golosov, A.M. Gafurov

“…The paper presents the results of assessing the accuracy of global digital elevation models (GDEMs), SRTM and ASTER GDEMs, based on a small catchment located on the eastern slope of the Central Russian Upland in the upper reaches of the Veduga River basin. The analysis of the errors in the morphometric parameters has been performed by comparing the part of the global DEM SRTM and ASTER GDEMs representing the relief of the selected catchment area with more accurate 1:10 000 (TOPO) maps data. …”
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Comparative Study of Mechanical Stresses in Human Limb Bones by Doina Drăgulescu, Lucian Rusu, Vlad Morcovescu, Cris Precup

“…Experimental protocols were developed to minimise the possible errors in obtaining the data. All results were statistically processed. …”
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Analisis Usability Aplikasi Sistem Informasi Destinasi Wisata Pulau Ambon Berbasis Android by Sri Widyanti Ginting, I Made Sudarma

“…The method used is the Waterfall method, which consists of Requirement Analysis, Design, Implementation, and Testing. Data collection was carried out by distributing written questionnaires to 100 respondents in several tourism spots. …”
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Roles of community pharmacists in managing negative effects by Ayşe Çiğdem Şehitoğlu, Muammer Çalıkuşu, Gülbin Özçelikay

“…Results: Of the 96 pharmacists who willingly participated in the study, 60.4% were female and 39.6% were male. The analysis revealed no significant differences in medication errors and patient counselling according to gender, responsible management period, or pharmacy location, but a significant difference was found among age groups (p<0.05), with higher mean scores for those aged 35 years and below. …”
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The Time-Varying Impacts of News Sentiment and Investor Attention on Housing Price Volatility by Yuxing Liu, Wei Chong Choo, Keng Yap Ng, Shuang Jin

“…This paper integrates the mathematical model, data and artificial intelligence methods into the relationship analysis for capturing connections between housing price volatility and news sentiment/investor attention, which instructively enriches research instruments of market economy and expands the bounds of cognition.…”
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Bridging Technology and Justice: The Role of AI in Law Enforcement through Pancasila’s Ideals by Wijayanti Annisa Tunjung, Anggraeni Dita Septia, Dewi Dyah Adriantini Sintha, Hakim Hary Abdul, Kurniaty Yulia, Basri, Setiawati Diana

“…The study used normative legal research methods with a philosophical Pancasila’s approach and qualitative analysis. Secondary data, such as journal articles and book, were analysed to assess how AI technologies can be harmonized with Pancasila's core values, including justice and equality. …”
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Conversion from Forest to Agriculture in the Brazilian Amazon from 1985 to 2021 by Hugo Tameirão Seixas, Hilton Luís Ferraz da Silveira, Alan Pereira da Silva Falcão Mendes, Fabiana Da Silva Soares, Ramon Felipe Bicudo da Silva

“…The results show a correlation between environmental policies and the time required for the conversion to be completed, such as the adoption of the soy moratorium and the New Forest Code, that were followed by a search for old cleared areas for the establishment of new agricultural sites. The new data can be useful in interdisciplinary studies focused on land-use and land-cover change analysis in Brazil, such as planning of forest restoration initiatives, and the evaluation of carbon stocks according to conversion length. …”
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A Precise Prediction Method for Subsurface Temperatures Based on the Rock Resistivity–Temperature Coupling Model by Ri Wang, Guoshu Huang, Jian Yang, Lichao Liu, Wang Luo, Xiangyun Hu

“…We validated this method in the Xiong’an New Area, China, and the determination coefficient (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>) of maximum temperature prediction reached 98.88%. The sensitivity analysis indicates that the prediction accuracy is positively correlated with the number and depth of the constrained boreholes and negatively correlated with the sampling interval of the well logging data. …”
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Integration of UAV-sensed features using machine learning methods to assess species richness in wet grassland ecosystems by Clara Oliva Gonçalves Bazzo, Bahareh Kamali, Murilo dos Santos Vianna, Dominik Behrend, Hubert Hueging, Inga Schleip, Paul Mosebach, Almut Haub, Axel Behrendt, Thomas Gaiser

“…The analysis revealed that the performance of the machine learning methods varied with the feature combinations. …”
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Radiologic text correction for better machine understanding by András Kicsi, Klaudia Szabó Ledenyi, László Vidács

“…This approach, enhanced by linguistic analysis and statistical data, improves information retrieval, as demonstrated in machine‐learning‐based classification and rule‐based identification tasks. …”
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MDGCN: Multiple Graph Convolutional Network Based on the Differential Calculation for Passenger Flow Forecasting in Urban Rail Transit by Chenxi Wang, Huizhen Zhang, Shuilin Yao, Wenlong Yu, Ming Ye

“…Previous work has been done by capturing spatiotemporal correlations of historical data. However, the spatiotemporal relationship between stations not only is limited to geospatial adjacency, but also lacks different perspectives of station correlation analysis. …”
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Poor quality care in healthcare settings: an overlooked epidemic by Augustine Kumah

“…Adverse events in healthcare settings, including medical errors, healthcare-associated infections (HAIs), and surgical complications, have been a persistent challenge globally, contributing significantly to patient morbidity and mortality. …”
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The Application Of Collaboration System-Based Learning In Overcoming Syntactic Interference In The Abstracts Of Teacher Professional Program Students by Khairun Niswa

“…The analysis showed that collaborative learning significantly reduced syntactic interference such as the absence of to be, the use of inverted phrase patterns, and passive sentence structure errors. …”
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BANKRUPTCY PREDICTION AND FINANCIAL RISK ASSESSMENT IN EMERGING MARKETS: EVIDENCE FROM NIGERIA by Emmanuel Imuede Oyasor

“…Our empirical results demonstrate that the Nigerian-validated IN01 and IN05 models outperform the traditional Altman and Ohlson models, highlighting the critical importance of contextualizing bankruptcy prediction tools to local economic conditions. The analysis further includes Receiver Operating Characteristic (ROC) curves and confusion matrix heatmaps to provide nuanced insights into model discriminative power and classification errors. …”
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