Characteristics and prediction methods of coal spontaneous combustion for deep coal mining in the Ximeng mining area by Li MA, Wenbo GAO, Longlong TUO, Pengyu ZHANG, Zhou ZHENG, Ruizhi GUO

“…As a result, the predicted temperatures based on the test set coincided well with the actual values, with a mean absolute error of 0.762℃, a root mean square deviation of 1.014, and a coefficient of determination of 0.999 4. …”
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Uncovering potentials of an association panel subset for nitrogen fixation and sustainable chickpea productivity by Rohit Kumar Mahto, B. S. Chandana, Rajesh Kumar Singh, Akshay Talukdar, K. Swarnalakshmi, Archana Suman, Vaishali, Debashish Dey, Rajendra Kumar

“…Environmental factors such as soil nutrients, temperature, and water stress, alongside genetic traits like root architecture and nitrogen-fixing efficiency, contributed to variations in growth and productivity. …”
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Estimation of Tree Diameter at Breast Height (DBH) and Biomass from Allometric Models Using LiDAR Data: A Case of the Lake Broadwater Forest in Southeast Queensland, Australia by Zibonele Mhlaba Bhebhe, Xiaoye Liu, Zhenyu Zhang, Dev Raj Paudyal

“…Model performance was assessed using five statistical metrics: root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), percentage bias (MBias), and the coefficient of determination (R<sup data-eusoft-scrollable-element="1">2</sup>). …”
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Seasonal effects of plant functional groups on molecular biogeochemistry of dissolved organic matter in porewater of a poor fen by Zhimin Song, Maryam Khaksari, Erik A. Lilleskov, Erik A. Lilleskov, Evan S. Kane, Evan S. Kane, Paul V. Doskey, Paul V. Doskey

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An Emerging Trend of At-Home Uroflowmetry—Designing a New Vibration-Based Uroflowmeter with Artificial Intelligence Pattern Recognition of Uroflow Curves and Comparing with Other T... by Vincent F. S. Tsai, Yao-Chou Tsai, Stephen S. D. Yang, Ming-Wei Li, Yuan-Hung Pong, Yu-Ting Tsai

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Affective valence predictors from real-world based short sprint interval training by Stefano Benítez-Flores, Flávio A. de S. Castro, Eduardo Caldas Costa, Daniel Boullosa, Todd A. Astorino

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Preliminary feasibility of mindfulness in motion to improve physiological biomarkers of wellbeing in healthcare providers during dayshift hours by Justin J. Merrigan, Maryanna Klatt, Catherine Quatman-Yates, Angela Emerson, Jamie Kronenberg, Morgan Orr, Jacqueline Caputo, Kayla Daniel, Anne-Marie Duchemin, Beth Steinberg, Joshua A. Hagen

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Development of a GPT-4–Powered Virtual Simulated Patient and Communication Training Platform for Medical Students to Practice Discussing Abnormal Mammogram Results With Patients: M... by Dan Weisman, Alanna Sugarman, Yue Ming Huang, Lillian Gelberg, Patricia A Ganz, Warren Scott Comulada

“…These nascent developmental practices have not taken root in the literature to guide other researchers in developing their own simulations. …”
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Assessment of Greenhouse Gas Emissions from Different Land-Use Systems: A Case Study of CO2 in the Southern Zone of Ghana by Dilys Sefakor MacCarthy, Robert B. Zougmoré, Pierre Bienvenu Irénikatché Akponikpè, Eric Koomson, Patrice Savadogo, Samuel Godfried Kwasi Adiku

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Determination of the Total Phosphorus Decay Coefficient Based on Hydrological Models in an Artificial Reservoir in the Brazilian Semi-Arid Region by Francisco Josivan de Oliveira Lima, Fernando Bezerra Lopes, Daniel Antônio Camelo Cid, Iran Eduardo Lima Neto, Renan Vieira Rocha, Alyson Brayner Sousa Estácio, Isabel Cristina da Silva Araújo, Nayara Rochelli de Sousa Luna, Michele Cunha Pontes, Arthur Costa Tomaz de Souza, Eunice Maia de Andrade

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Crescimento de genótipos diplóides de bananeira submetidos ao estresse salino Growth of dipoid banana genotypes under saline stress by Gilberto de S. E. S. Junior, Marciana B. de Morais, Terezinha R. Camara, Lilia Willadino

“…Genotype Lidi stood out by having better adaptation to saline stress in all measured biometric variables with the ability to maintain, under stress, the fresh and dry biomass (leaf blade, stem, pseudostem + root), leaf area, and absolute growth rate among others. …”
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An Exploratory Investigation of Heart Rate Variability in Response to Exercise Training and Detraining in Young and Middle-Aged Men by Andres E. Carrillo, Petros C. Dinas, Paraskevi Gkiata, Alexa R. Ferri, Glen P. Kenny, Yiannis Koutedakis, Athanasios Z. Jamurtas, George S. Metsios, Andreas D. Flouris

“…We examined heart rate (HR) and heart rate variability (HRV) in young and middle-aged men after a period of detraining that immediately followed the completion of an exercise training program. Eight young (27.8 ± 3.8 years) and ten middle-aged (41.9 ± 3.8 years) men were randomly assigned to complete an 8-week exercise training program that included either aerobic (young: <i>n</i> = 3; middle-aged: <i>n</i> = 2), resistance (young: <i>n</i> = 3; middle-aged: <i>n</i> = 3), or combined (aerobic/resistance) (young: <i>n</i> = 2; middle-aged: <i>n</i> = 5) exercise. …”
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Allometric models for estimating aboveground biomass and carbon stocks of the semi-arid savanna woody species, Detarium microcarpum Guill. et Perr. by Adama Taonda, Issouf Zerbo, Innocent Charles Emmanuel Traore, Fousseni Folega, Anny Estelle N'Guessan, Justin N'Dja Kassi, Adjima Thiombiano

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Prediction of PD-L1 tumor positive score in lung squamous cell carcinoma with H&E staining images and deep learning by Qiushi Wang, Xixiang Deng, Pan Huang, Qiang Ma, Lianhua Zhao, Yangyang Feng, Yiying Wang, Yuan Zhao, Yan Chen, Peng Zhong, Peng He, Mingrui Ma, Peng Feng, Hualiang Xiao

“…BackgroundDetecting programmed death ligand 1 (PD-L1) expression based on immunohistochemical (IHC) staining is an important guide for the treatment of lung cancer with immune checkpoint inhibitors. …”
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CMRNet: An Automatic Rapeseed Counting and Localization Method Based on the CNN-Mamba Hybrid Model by Jie Li, Chenbo Yang, Chengyong Zhu, Tao Qin, Jingmin Tu, Binhui Wang, Jian Yao, Jiangwei Qiao

“…Training and validation of CMRNet on the URCP dataset yielded exceptional performance metrics, with mean absolute error (MAE) of 5.70, relative root mean square error (rrMSE) of 8.08, and coefficient of determination (R<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>) of 0.9220. …”
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Screening and Assessment of Genetic Diversity of Rice (<i>Oryza sativa</i> L.) Germplasm in Response to Soil Salinity Stress at Germination Stage by Alia Anwar, Javaria Tabassum, Shakeel Ahmad, Muhammad Ashfaq, Adil Hussain, Muhammad Asad Ullah, Nur Shuhadah Binti Mohd Saad, Abdelhalim I. Ghazy, Muhammad Arshad Javed

“…BAS2000 and MCHKAB were identified as salt-sensitive, showing reduced growth in key traits, including root and shoot development. Marker-based genotyping identified a total of 287 alleles. …”
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Evaluation of models of enteric methane emissions in finishing steers by J. Vargas, M. Swenson, A.K. Schilling-Hazlett, I.A. Reis, C. Velasquez, E.C. Martins, L. Sitorski, L.M. Campos, P.H.V. Carvalho, K.R. Stackhouse-Lawson, S.E. Place

“…Seventy-two equations were compared based on the mean square prediction error (MSPE), the decomposition of the root MSPE (RMSPE), and the concordance correlation coefficient (CCC). …”
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Deciphering maize resistance to late wilt disease caused by Magnaporthiopsis maydis: agronomic, anatomical, molecular, and genotypic insights by Walaa R. Abdelghany, Mohsen M. Elsharkawy, Ramy N. F. Abdelkawy, Reda I. Omara, Khaled Abdelaal, Abeer H. Abbas, Wael N. Hozzein, Tarek Essa, Dalal Hussain ALkhalifah, Ayman H. Abou Tabl

“…Anatomical examination showed superior root structure in resistant genotypes, particularly SC2031. …”
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Evaluating the Two-Source Energy Balance Model Using MODIS Data for Estimating Evapotranspiration Time Series on a Regional Scale by Mahsa Bozorgi, Jordi Cristóbal, Magí Pàmies-Sans

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Resource Characteristics of Common Reed (<i>Phragmites australis</i>) in the Syr Darya Delta, Kazakhstan, by Means of Remote Sensing and Random Forest by Azim Baibagyssov, Anja Magiera, Niels Thevs, Rainer Waldhardt

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