Assessing evapotranspiration dynamics across central Europe in the context of land–atmosphere drivers by A. Fluhrer, A. Fluhrer, M. J. Baur, M. Piles, B. Bayat, M. Rahmati, D. Chaparro, D. Chaparro, C. Dubois, C. Dubois, F. M. Hellwig, F. M. Hellwig, C. Montzka, A. Kübert, M. M. Mueller, M. M. Mueller, I. Augscheller, F. Jonard, K. Schellenberg, K. Schellenberg, T. Jagdhuber, T. Jagdhuber

“…., the land component of the Earth system modeling product European Re-Analysis, ERA5-land, and Global Land Data Assimilation System version 2, GLDAS-2) together with in situ observations at eight Integrated Carbon Observation System (ICOS) stations across central Europe between 2017 and 2020. …”
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Strategies to Improve the Quality of Public Services with Artificial Intelligence (AI) in Indonesia by Mustainah M, Dandan Haryono, Nuraisyah Nuraisyah

“…The method used in this study is qualitative, the qualitative method is the method used by the researcher by using sentences to describe the results of the research through writing, the data used consists of primary and secondary data, Techniques for determining Informants with snowbal Sampling, Informants in this study are designers of public service studies based on artificial intelligence in Indonesia, data is collected through Observation,  Interviews, FGDs and Documentation, Data analysis in this study uses data condensation data collection techniques, data presentation, verification and conclusion Triangulation of sources is used to obtain data validity, as well as the use of Analytical Techniques (SWOT) to find and determine the right strategy in improving the quality of public services with Artificial Intelligence (AI). …”
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The Impact of Artificial Intelligence on Accounting Information Systems in Jordanian Banks: An Exploratory Study by Maha Abuyabes, Ahmad Alshekhhossin, Ishraq Bataineh

“…Artificial intelligence (AI) has become one of the critical technological tools for enhancing the efficiency and quality of accounting operations, minimising human errors, and accelerating data analysis and decision-making processes. …”
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Interlanguage development among the learners of Indonesian language in Paris by Mahriyuni Mahriyuni, Isda Pramuniati, Dedi Rahmad Sitinjak

“…The study employed a three-phase approach: data collection, data analysis, and interpretation. …”
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The Use of Technology in Evaluation Practice by Vanessa Jamieson, Tarek Azzam

“…Open-ended responses in the survey were also presented as part of the analysis. Findings: Analyses revealed that technological tools were adopted by evaluators because they helped to produce quality products, increased timeliness, reduced errors, and increased cost efficiencies, and the most adopted tools tended to aid in quantitative data analysis, project management, and productivity. …”
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Exploring the changes in functional connectivity of the limbic system in Patients with amnestic mild cognitive impairment treated by acupuncture based on fMRI by Han Yingmei, Li Yijie, Zhang Heng, Feng Ze, Li Weiqing, Zhang Hanxi, Yang Ming, Chu Bingyuan, Wang Feng

“…After treatment, rs-fMRI data of aMCI subjects were collected again. Thirty seed points of the limbic system were selected based on the Anatomical Automatic Labeling (AAL) template, and the Statistical Parametric Mapping (SPM) software was used for statistical analysis of FC indices between and within groups.Result(1) Compared with the HC group, there were significant differences in the FC between Seed14 of the true-acupoint group before acupuncture intervention and multiple brain regions (enhanced with Seed 7 and weakened with Seed 15). …”
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Evaluating snow depth retrievals from Sentinel-1 volume scattering over NASA SnowEx sites by Z. Hoppinen, Z. Hoppinen, R. T. Palomaki, G. Brencher, D. Dunmire, D. Dunmire, E. Gagliano, A. Marziliano, J. Tarricone, J. Tarricone, H.-P. Marshall

“…We further investigate the underlying Sentinel-1 data for a snow signal through an exploratory analysis of the cross- to co-backscatter ratio (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi mathvariant="italic">σ</mi><mi mathvariant="normal">VH</mi></msub><mo>/</mo><msub><mi mathvariant="italic">σ</mi><mi mathvariant="normal">VV</mi></msub></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="43pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="e6818905d8dace62fa04bcbb48435b9f"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-18-5407-2024-ie00001.svg" width="43pt" height="14pt" src="tc-18-5407-2024-ie00001.png"/></svg:svg></span></span>; i.e., cross ratio) relative to lidar snow depths. …”
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Mitigating overconfidence bias: A cross-sectional pilot study of male maintenance workers in the engineering sector by Luca DI GIAMPAOLO, Federica MARINO, Claudia GIURGOLA, Piergiorgio ASTOLFI, Luca COPPETA, Simone DE SIO, Paola BORRELLI, Teresa GALANTI, Laura FORCELLA, Maria Elisa MAIOLO, Kavita BATRA, Murat YILDIRIM, Hicham KHABBACHE, Amelia RIZZO, Mahmood BAHRAMIZADEH, Hiroo WADA, Qiao NIU, Hector NIETO, Francesco CHIRICO

“…The validated questionnaire of Cavazza & Serpe was administered, on a voluntary basis, used for data collection, and subsequently descriptive analysis was carried out for data interpretation. …”
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Between (anti-)grammar and identity: a quantitative and qualitative study of hyperdialectisms in Brabantish by Doreleijers Kristel, Grondelaers Stefan

“…Analysis of the focus group data demonstrated that older respondents are consciously aware of the rules of their dialect grammar, and hate it when these rules are violated. …”
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On web-applications usability testing by Boris M. Basok, Alena N. Rozhanskaya, Sergey L. Frenkel

“…The obtained experimental data showed that, despite testing the usability of software at the development stages, some errors in the operation of web applications remain undetected. …”
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Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks by Ayan Chatterjee, Vajira Thambawita, Michael A. Riegler, Pal Halvorsen

“…Results show that anomaly-smoothed data reduces forecasting errors, highlighting our approach&#x2019;s effectiveness in enhancing time-series data analysis&#x2019;s integrity and reliability. …”
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Volleyball technical action recognition based on CNN-LSTM by Zhigang Zhang, Yong Tian, Jinchong Qi

“…When processing a single frame of data, the convolutional neural network has significant errors in extracting joints 7 and 10 in the X-axis direction, with errors of 11.0 and 10.6, respectively. …”
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Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches by Haiyang Zhang, Shuo Wu, Lehan Yang, Chengjing Fan, Huifang Chen, Hui Wang, Tianyi Zhu, Yinwei Li, Jing Sun, Xuefei Song, Huifang Zhou, Terry J Smith, Xianqun Fan

“…This study aims to investigate the factors influencing visual functioning (QOL-VF) and physical appearance (QOL-AP) scores in Chinese TED patients using innovative data analysis methods. Methods: This cross-sectional study included 211 TED patients whose initial visit to our clinic was from July 2022 to March 2023. …”
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KEMAMPUAN MENULIS DESKRIPSI (STUDI KASUS DI PONDOK PESANTREN NUURUSSHIDDIIQ, CIREBON) by Ririen Wardiani, Indrya Mulyaningsih

“…Data analysis use traditional two stages, ie, classifying and interactive analysis model of Miles. …”
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Comment on Krüger, L. Decreasing Trends of Chinstrap Penguin Breeding Colonies in a Region of Major and Ongoing Rapid Environmental Changes Suggest Population Level Vulnerability.... by W. Chris Oosthuizen, Murray Christian, Mzabalazo Ngwenya

“…We discuss oversights in several key steps (data processing, exploratory data analysis, model fitting, model evaluation, and prediction) of that paper’s analysis to help others detect and avoid some of the pitfalls associated with estimating population trends via mixed models. …”
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Galaxy Cluster Characterization with Machine Learning Techniques by M. Sadikov, J. Hlavacek-Larrondo, L. Perreault-Levasseur, C. L. Rhea, M. McDonald, M. Ntampaka, J. ZuHone

“…We present an analysis of the X-ray properties of the galaxy cluster population in the z = 0 snapshot of the IllustrisTNG simulations, utilizing machine learning techniques to perform clustering and regression tasks. …”
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A chemical autonomous robotic platform for end-to-end synthesis of nanoparticles by Fan Gao, Hongqiang Li, Zhilong Chen, Yunai Yi, Shihao Nie, Zihao Cheng, Zeming Liu, Yuanfang Guo, Shumin Liu, Qizhen Qin, Zhengjian Li, Lisong Zhang, Han Hu, Cunjin Li, Liang Yang, Yunhong Wang, Guangxu Chen

“…Abstract Traditional nanomaterial development faces inefficiency and unstable results due to labor-intensive trial-and-error methods. To overcome these challenges, we developed a data-driven automated platform integrating artificial intelligence (AI) decision modules with automated experiments. …”
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The Use of Explainable Machine Learning for the Prediction of the Quality of Bulk-Tank Milk in Sheep and Goat Farms by Daphne T. Lianou, Yiannis Kiouvrekis, Charalambia K. Michael, Natalia G. C. Vasileiou, Ioannis Psomadakis, Antonis P. Politis, Angeliki I. Katsafadou, Eleni I. Katsarou, Maria V. Bourganou, Dimitra V. Liagka, Dimitrios C. Chatzopoulos, Nikolaos M. Solomakos, George C. Fthenakis

“…Tools found with the lowest mean absolute percentage error (MAPE) between the five tools used to test predictions for each target value were selected. …”
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Hospitalization, mortality, and health service delivery pattern among Iranian Hajj pilgrims by age, sex, and province in 2013–22 by Pirhossein Kolivand, Pirhossein Kolivand, Peyman Saberian, Jalal Arabloo, Peyman Namdar, Taher Doroudi, Taher Doroudi, Ali Marashi, Masoud Behzadifar, Fereshte Karimi, Soheila Rajaei, Behzad Raei, Seyed Jafar Ehsanzadeh, Arash Parvari, Samad Azari, Samad Azari

“…We examined pilgrim hospitalization by age, sex, and province using a Poisson regression model, incorporating demographic variables. Data extraction was performed using file reading methods, and analysis using Excel 2019 and SPSS 27 software.ResultsThe highest mortality among Iranian pilgrims was recorded in 2015 (N = 509, 74.3%), primarily affecting those aged 45–70 (N = 442, 64.5%). …”
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Binding of per- and polyfluoroalkyl substances with liver and serum proteins in rats: implications for physiologically based pharmacokinetic modelling by Xiarui Fan, Xiaomin Li, Tong Li, Bing Shao, Shan Niu, Wenhong Fan, Qi Wang, Lv Zhong, Xiangrui Wang, Ziwei Wang, Fujun Ma, Guomao Zheng, Hui Peng, Lili Chen, Zhaomin Dong

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