An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro by David Hanny, Dorian Arifi, Steffen Knoblauch, Bernd Resch, Sven Lautenbach, Alexander Zipf, Antonio Augusto de Aragão Rocha

“…Additionally, we contextualise this information by correlating dependence scores and model error with 15 socio-demographic variables such as ethnic distribution and social development. …”
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The Determinants of Delays and Their Impact on Clinical End Points in Acute ST-Segment Elevation Myocardial Infarction: A Single-Center Experience by Kardelen Ohtaroglu Tokdil, Hasan Tokdil, Eser Durmaz, Bilgehan Karadag, Burcak Kilickiran Avci, Baris Ikitimur, Emre Ozmen, Alpin Mert Tekin, Betul Zehra Pirdal, Zeki Ongen

“…<i>Results</i>: Univariate analysis revealed that factors influencing delay time included BMI, hypertension diabetes, smoking habit and variability in pain intensity. …”
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Enhancing agricultural commodity price forecasting with deep learning by R. L. Manogna, Vijay Dharmaji, S. Sarang

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Physical Activity Levels and Recreational Participation Among Physiotherapists: A Cross-Sectional Correlational Study by Constantin Ciucurel, George Mihail Man, Marilena Monica Tantu, Mariana Ionela Tudor, Georgeta Ionescu, Ana Catalina Tantu, Elena Ioana Iconaru

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Effect of short-term dietary intervention on fecal serotonin, gut microbiome-derived tryptophanase, and energy absorption in a randomized crossover trial: an exploratory analysis by Eiichi Yoshimura, Yuka Hamada, Yoichi Hatamoto, Takashi Nakagata, Hinako Nanri, Yui Nakayama, Chiharu Iwasaka, Takanori Hayashi, Ippei Suzuki, Takafumi Ando, Kazuko Ishikawa-Takata, Shigeho Tanaka, Rei Ono, Michihiro Araki, Hitoshi Kawashima, Yi-An Chen, Jonguk Park, Koji Hosomi, Kenji Mizuguchi, Jun Kunisawa, Motohiko Miyachi

“…Furthermore, significant differences were noted in metabolizable energy and gut transit time (p < 0.001), both of which were higher in the overfeeding than in the control (metabolizable energy: p = 0.001; gut transit time: p = 0.014) and underfeeding (metabolizable energy: p < 0.001; gut transit time: p = 0.004) conditions. …”
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Comparing tacrolimus level monitoring in peripheral blood mononuclear cells and whole blood within one year after kidney transplantation: a single-center, prospective, observationa... by Jia You, Jia You, Jia You, Rui Chen, Rui Chen, Yuhui Chai, Xue Wang, Wenmin Xie, Yunyun Yang, Kaile Zheng, Kaile Zheng, Kaile Zheng, Lizhi Chen, Zhuo Wang, Xuebin Wang, Xuebin Wang, Xuebin Wang

“…However, this approach may not accurately reflect lymphocyte tacrolimus levels, limiting its predictive value for allograft function and rejection. Monitoring tacrolimus levels in peripheral blood mononuclear cells (PBMCs) offers a potentially more precise alternative, though its clinical value remains unclear. …”
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Soil property variability in a humid natural Mediterranean environment: La Rioja, Spain Varibilidad de las propiedades del suelo en ambiente mediterráneo húmedo: La Rioja, España V... by Raimundo Jiménez-Ballesta, Victoria Íñigo, Marisol S. Andrades, Juan I. Alonso-Martirena, Álvaro Marín

“…The contour maps of soil property variability could be used to improve future sampling designs and management decisions.…”
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Developing and Validating Species Distribution Models for Wetland Plants Across Europe by Ojaswi Sumbh, Marjon Hellegers, Valerio Barbarossa, Renata Ćušterevska, Borja Jiménez‐Alfaro, Łukasz Kozub, Francesca Napoleone, Zvjezdana Stančić, Aafke M. Schipper

“…At the same time, groundwater table depth was a significant predictor for diagnostic vascular plants but not for mosses. …”
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Development of an explainable machine learning model for Alzheimer’s disease prediction using clinical and behavioural features by Rajkumar Govindarajan, K. Thirunadanasikamani, Komal Kumar Napa, S. Sathya, J. Senthil Murugan, K. G. Chandi Priya

“…This method offers a practical tool for clinicians and researchers to support early diagnosis and personalized risk assessment of AD, thus aiding in timely and informed clinical decision-making.Accurate Prediction: Gradient Boosting model achieved 93.9 % accuracy for early Alzheimer’s detection.Explainability: SHAP values provided interpretable insights into key clinical features.Clinical Tool: A Streamlit-based web app enabled real-time, explainable predictions for users.…”
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Comparison of usability and user-friendliness of three FeNO analyzers in a general population cohort of the LEAD study by Marco Idzko, Christina Bal, Caspar Schiffers, Maarten Van Herck, Sonja Zehetmayer, Marie-Kathrin Breyer, Sylvia Hartl, Robab Breyer-Kohansal

“…BV required the fewest attempts and time to measurement success, followed by BN. The FeNO results were clinically equivalent between devices (difference to EC 0.7–7.5 ppb) with increasing variability at higher FeNO values. …”
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An intelligent algorithm to fast and accurately detect chaotic correlation dimension by Mengyan Shen, Miaomiao Ma, Zhicheng Su, Xuejun Zhang

“…The results reveal that the proposed method is an intelligent and robust method for rapidly and accurately calculating the correlation dimension values, and the average operation efficiency of the proposed algorithm is 30 times faster than that of the original Grassberger‐Procaccia algorithm.…”
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Dificultad para medir el modo, tiempo y distancia de desplazamiento en niños a actividades extraescolares. Validación cuestionario DESACEX (Difficulty measuring the mode, time and... by David Cerro Herrero, Mikel Vaquero Solis, Miguel Ángel Tapia Serrano, Pedro Antonio Sanchez Miguel, JOsué Prieto Prieto

“…Por ello se han propuesto nuevas herramientas para medir dichas variables. Abstract. Introduction: Active commuting is an opportunity to increase the amount of physical activity, which is why it is necessary to find new times and routines commuting in which it is interesting to intervene to increase the levels of active commuting and as a consequence, of daily physical activity. …”
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Nonlinear Dynamics Analysis of Handgrip Strength Using the Poincaré Plot Method Through Video Processing Techniques by Constantin Ciucurel, Elena Ioana Iconaru

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Asymmetric Effects of Agricultural Input Prices on Farmgate Prices in Türkiye by Gökhan Uzel, Mustafa Kuzu, Ahlem Güler, Serkan Gürlük

“…Unlike studies that use crude oil prices as agricultural input parameters, this study aims to address the lack of behavioural variables in time series studies by considering diesel and fertilizer prices. …”
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Impact of Delayed Decaying Corruption Effects on a Socioeconomic System with Economic Growth and Unemployment by Ogochukwu Ifeacho, Gilberto González-Parra

“…Due to the complex nonlinear nature of the relationships between the variables, our aim is to explore stable steady states, bifurcations, and limit cycles in the parameter space. …”
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The Use of Long Short-Term Memory Models to Estimate Soybean Pricing: A Regional Climate Data Evaluation From Brazil by Jefferson Tales Oliva, Otavio Pigozzo Martelli, Marco Antonio de Castro Barbosa, Viviane Dal Molin, Dalcimar Casanova, Marcelo Teixeira

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Multifractal analysis of Bitcoin price dynamics by Cristian Bucur, Bogdan-George Tudorică, Adela Bâra, Simona-Vasilica Oprea

“…The empirical data’s alignment in log-log space suggests self-similarity in the Bitcoin time series, supporting multifractality. The calculated Hurst exponents values suggest varying degrees of multifractality across the years, with 2021 exhibiting the highest degree and 2022 the lowest. …”
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The use of a matched controls design and publicly available outcome data to evaluate a multiyear urban school-based SEL intervention by Angela W. Wang, Simon Daniel, Maurice J. Elias

“…., absenteeism, behavior referrals) outcome variables, compared to matched schools not hosting MOSAIC (n = 30). …”
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Coronary calcium associated with changes in instrumental and humoral markers of sympathetic activity in patients with non-obstructive coronary atherosclerosis by E. V. Grakova, K. V. Kopeva, A. N. Maltseva, A. S. Dasheeva, K. V. Zavadovsky, A. M. Gusakova, A. V. Svarovskaya, I. N. Vorozhtsova, E. L. Antsifirova, Yu. L. Shadrina

“…To study the associations between sequential factors of the 10-year coronary heart disease (CHD) risk index MESA, heart rate variability (HRV), molecular markers of sympathetic activity and the presence or absence of calcium in the coronary arteries (CA) in patients with non-occlusive coronary atherosclerosis.Materials and methods. …”
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Dense Contaminants Mixing Into the Saltwater Wedge in Coastal Aquifers: Laboratory and Numerical Investigations by Jiaxu Zhang, Chunhui Lu, Chenming Zhang

“…In contrast, both Rt and Dt values are not only non‐monotonic functions of tidal amplitudes but also less sensitive to tidal effects. …”
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