Technical note: “U–Th Analysis” – open-source software dedicated to MC-ICP-MS U-series data treatment and evaluation by I. K. Kerber, F. Kontor, A. Mielke, A. Mielke, S. Warken, S. Warken, N. Frank

“…<p>We present our stand-alone data analysis application for <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><msup><mi/><mn mathvariant="normal">230</mn></msup><mrow class="chem"><mi mathvariant="normal">Th</mi><mo>/</mo><mi mathvariant="normal">U</mi></mrow></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="43pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="3e17e119ba9c72e5f696f4fcc9cdcb4a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="gchron-7-1-2025-ie00001.svg" width="43pt" height="15pt" src="gchron-7-1-2025-ie00001.png"/></svg:svg></span></span> dating with multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). …”
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Derivation of a comprehensive semi-empirical proton RBE model from published experimental cell survival data collected in the PIDE database by Jian-Yue Jin, Jian-Yue Jin, Jiankui Yuan, Xiaohang Qin, Yinghui Li, Huagang Yan, Nancy L. Oleinick, Min Yao, Quintin Pan, Feng-Ming (Spring) Kong, Feng-Ming (Spring) Kong, Mitchell Machtay

“…We aimed to develop a comprehensive proton relative biological effectiveness (RBE) model based on accumulated cell survival data in the literature. Our approach includes four major components: (1) Eligible cell survival data with various linear energy transfers (LETs) in the Particle Irradiation Data Ensemble (PIDE) database (72 datasets in four cell lines); (2) a cell survival model based on Poisson equation, with α and β defined as the ability to generate and repair damage, respectively, to replace the classic linear–quadratic model for fitting the cell survival data; (3) hypothetical linear relations of α and β on LET, or α(LET)αx=αα+bα ∗ LET and β(LET)βx=αβ−bβ ∗ LET; and (4) a multi-curve fitting (MCF) approach to fit all cell survival data into the survival model and derive the aα, bα, aβ, and bβ values for each cell line. …”
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Improved estimation of soil organic carbon stock in subtropical cropland of Southern China based on digital soil mapping and multi-sources data by Bifeng Hu, Qian Zhu, Modian Xie, Yibo Geng, Yali Wen, Shuhan Peng, Yanru Qiu, Xiya Jin, Pengbo Zhang, Hongyi Li, Zhou Shi

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Suicide Risk Screening in Jails: Protocol for a Pilot Study Leveraging the Mental Health Research Network Algorithm and Health Care Data by Erin B Comartin, Grant Victor, Athena Kheibari, Brian K Ahmedani, Bethany Hedden-Clayton, Richard N Jones, Ted R Miller, Jennifer E Johnson, Lauren M Weinstock, Sheryl Kubiak

“…The study will use jail administrative data for September 1, 2021, through February 28, 2022; Medicaid records data for September 1, 2016, through March 31, 2023; and vital records data for March 1, 2022, through March 31, 2023. …”
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How do strategic attributes of electronic commerce impel the perceived value and electronic loyalty of online food delivery applications (OFDAs) by Muhammad Asif Zaheer, Tanveer Muhammad Anwar, Zoia Khan, Muhammad Ali Raza, Hira Hafeez

“…Similarly, the study enabled the author to learn more about how people would use the information system after successfully applying the UTAUT. Practical implications – This study has significant implications for web developers, application designers, food delivery companies, restaurants and other businesses. …”
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Mapping forage quality parameters based on Sentinel-2 images and auxiliary data during the senescent stage of alpine grasslands in Tibetan Plateau by Jinlong Gao, Tiangang Liang, Qisheng Feng, Zhibin He, Jing Wang, Dongmei Zhang

“…Overall, our study demonstrates that the integration of environmental variables and multispectral remote sensing data can not only improve the prediction performance of forage quality parameters, but also enable large-scale mapping of these parameters, with potential applications for the development of high-precision monitoring methods for forage nutritional status during the senescent stage of alpine grassland.…”
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Kombinasi Intent Classification dan Named Entity Recognition pada Data Berbahasa Indonesia dengan Metode Dual Intent and Entity Transformer by Zahra Asma Annisa, Rizal Setya Perdana, Putra Pandu Adikara

“…Kombinasi hyperparameter yang telah diperoleh menghasilkan kapabilitas yang berbeda apabila terdapat perubahan dalam data yang digunakan, karena kapabilitas model DIET baik dalam melakukan klasifikasi intensi maupun NER sangat bergantung terhadap data.   …”
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Downscaling GRACE total water storage data using random forest: a three-round validation approach under drought conditions by Youssef Hamou-Ali, Nourlhouda Karmouda, Ismail Mohsine, Tarik Bouramtane, Ilias Kacimi, Sarah Tweed, Sarah Tweed, Mounia Tahiri, Nadia Kassou, Ali El Bilali, Omar Chafki, Mohamed Abdellah Ezzaouini, Siham Laraichi, Abdelaaziz Zerouali, Marc Leblanc, Marc Leblanc, Marc Leblanc

“…The application of GRACE satellite-derived Total Water Storage (TWS) data for local water management is constrained by its coarse spatial resolution (100-300 km). …”
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Blockchain and Digital Twins in Smart Industry 4.0: The Use Case of Supply Chain-A Review of Integration Techniques and Applications by Christos Roumeliotis, Minas Dasygenis, Vasilis Lazaridis, Michael Dossis

“…However, traditional DT development relies on centralized systems, which are vulnerable to data tampering and security breaches, especially in the management of transaction logs and historical data. …”
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Improved Real‐Time Hail Damage Estimates Leveraging Dense Crowdsourced Observations by Timo Schmid, Valentin Gebhart, David N. Bresch

“…Opportunely, Switzerland benefits from a uniquely dense network of crowdsourced hail reports, providing an additional data source. Since 2021, over 50,000 reports were submitted each hail season through the national weather service's mobile application, including some false reports. …”
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A Pattern‐Based Machine Learning Model for Imputing Missing Records in Coastal Wind Observation Networks by Nan‐Jing Wu, Tai‐Wen Hsu, Ting‐Chieh Lin

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Influence of the salaries of the academic personnel of the co-financed universities on the number of scientific publications by Juan Antonio Jimber del Rio, Argentina Arias Barrionuevo

“…Research limitations/implications: The paper has some limitations, such as the lack of data on other characteristics of the academic staff that may affect their research productivity, such as gender, age, work experience, teaching hours, or administrative duties. …”
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Mobile application based on KDD to predict high-crime areas and promote sustainability in citizen security in a district of Lima-Perú by Hugo Vega-Huerta, Javier Vilca Velasquez, Nicolas Anicama Espinoza, Gisella Luisa Elena Maquen-Niño, Luis Guerra-Grados, Jorge Pantoja-Collantes, Oscar Benito-Pacheco, Juan Carlos Lázaro-Guillermo, Adegundo Camara-Figueroa, Javier Cabrera-Díaz, Rubén Gil-Calvo, Frida López-Córdova

“…Using historical data of criminal incidents and reports registered by users in the application, models capable of predicting the occurrence of crimes in real time are trained. …”
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Guide e-book on developing Android-based smart key: A learning media for the application of electronic circuits in higher education by Yuberti Yuberti, Happy Komikesari, Ajo Dian Yusandika, Firmanul Catur Wibowo, Irani Diansah

“…Thus, the developed e-book is deemed suitable as a learning medium for electronic circuit applications learning. These findings have implications for enhancing students' practical understanding, supporting self-directed learning, and creating more engaging education in sensor and transducer topics electronic circuits application.…”
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Do firm-level variables impact dividend pay-out? Examining application of two-step system GMM panel model by Suzan Dsouza, Hassan Nasseredine, Houshang Habibniya, Naliniprava Tripathy

“…The two-step system GMM dynamic panel model has been applied to the data set over 11 years from 2010–2021 to ascertain the influencing of variables on the dividend decisions of the firms. …”
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Analysis of High-Frequency Sea-State Variability Using SWOT Nadir Measurements and Application to Altimeter Sea State Bias Modelling by Estelle Mazaleyrat, Ngan Tran, Laïba Amarouche, Douglas Vandemark, Hui Feng, Gérald Dibarboure, François Bignalet-Cazalet

“…The latter finding, obtained using unprecedented high-frequency satellite data from multiple ocean basins, is shown to be consistent with estimates from an ocean wave model. …”
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The impact of online review on fresh food purchase intention via mobile applications: An approach of Elaboration Likelihood Model (ELM) theory by Hoa Le Thai Nguyen, Thi Thi Cam Tang

“…By non-probability method with a convenience sample, data from 302 online shoppers in Vietnam were collected by online survey and analyzed with a Structural Equation Model (SEM). …”
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Underground Water-Level Monitoring by Integrated Study of Geoelectric, Logging, Cutting and Pumping Data in Industrial Area of Candi Sub-District, Sidoarjo by A Jufriadi, H D Ayu

“…Monitoring of underground water level with integrated data of geoelectric, logging, cutting and pumping has been done in industrial area of Candi Sub-district, Sidoarjo, which is productive aquifers with widespread area. …”
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An integrated CRITIC and EDAS model using linguistic T spherical fuzzy Hamacher aggregation operators and its application to group decision making by Zunaira Rasool, Shahid Hussain Gurmani, Shafiullah Niazai, Rana Muhammad Zulqarnain, Tmader Alballa, Hamiden Abd El-Wahed Khalifa

“…Optimal selections must encompass technical performance, economic feasibility, environmental sustainability, and societal implications. Additionally, the data gaps and vague information typical when dealing with emerging technologies make traditional techniques unproductive. …”
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Modeling Canopy Height of Forest–Savanna Mosaics in Togo Using ICESat-2 and GEDI Spaceborne LiDAR and Multisource Satellite Data by Arifou Kombate, Guy Armel Fotso Kamga, Kalifa Goïta

“…This study provides valuable insights for future spaceborne LiDAR and other remote sensing data applications in similar complex ecosystems and offers local decision-makers a robust tool for forest management.…”
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