Phosphorus Fertilization and Chemical Root Pruning: Effects on Root Traits During the Nursery Stage in Two Mediterranean Species from Central Chile by Fiorella Calderón-Ureña, Carolina Álvarez-Maldini, Manuel Acevedo, Manuel E. Sánchez-Olate, R. Kasten Dumroese, Antay Sierra-Olea, Juan F. Ovalle, Edwin Esquivel-Segura

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Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery by Hongjian Tan, Weili Kou, Weiheng Xu, Leiguang Wang, Huan Wang, Ning Lu

“…Our study highlights the great potential of combining UAV-based multispectral imagery with DL techniques to improve AGB estimation in rubber plantations, offering a new perspective for estimating the physiological and biochemical growth parameters of forests.…”
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Assembly of soil multitrophic community regulates multifunctionality via multifaceted biotic factors in subtropical ecosystems by Chao Chang, En Hu, Xiaofeng Tang, Sisi Ye, Dan Zhao, Zhi Qu, Ming Li

“…Here, we analyzed 331 soil samples from different land-use types (cropland, forest, and grassland) in the Qinling-Daba Mountains to investigate the drivers, assembly processes, and network stability of multitrophic organisms. …”
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Machine Learning Models of Acute Kidney Injury Prediction in Acute Pancreatitis Patients by Cheng Qu, Lin Gao, Xian-qiang Yu, Mei Wei, Guo-quan Fang, Jianing He, Long-xiang Cao, Lu Ke, Zhi-hui Tong, Wei-qin Li

“…With the provision of additional information such as demographic characteristics or laboratory data, support vector machine (SVM), random forest (RF), classification and regression tree (CART), and extreme gradient boosting (XGBoost) were used to build models of AKI prediction and compared to the predictive performance of the classic model using logistic regression (LR). …”
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An Analysis of Land Use Conflicts and Strategies in the Harbin–Changchun Urban Agglomeration Based on the Production–Ecological–Living Space Theory and Patch-Generating Land Use Si... by Xiaomeng Wang, Yanjun Zhang, Xiaoyan Li, Shuwen Cao

“…The results indicate the following: (1) From 2000 to 2020 and different scenarios in 2030, the PELS of the HCUA is dominated by forest ecological space (E1) and agricultural production space (P1), with no substantial alterations in the overall spatial distribution of the PELS. (2) Absolute and relative conflicts between 2000 and 2020 are mainly concentrated in the plains of the western regions, characterized by conflicts arising from the encroachment of living space on production space; however, absolute conflicts have declined annually, accompanied by a notable enhancement in ecological quality. (3) The spatial pattern of absolute conflicts in 2030 exhibits minimal variation, illustrating higher values in the western regions compared to the eastern parts, with living space surpassing ecological space and plains showing higher conflict values than mountains. …”
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Lessons learnt from measures taken to prevent rabies introduction and spread into a long rabies free territory (case study of the Irkutsk Oblast) by I. V. Meltsov, A. M. Ablov, E. N. Shkolnikova, M. E. Koplik, P. A. Minchenko, T. V. Desyatova, I. D. Zarva, A. D. Botvinkin, A. Ye. Metlin

“…It is supposed that in case of the infection introduction the forest-steppe agricultural areas near the Angara River are likely to be affected due to high population of foxes. …”
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Health extension workers job satisfaction and associated factors in Ethiopia: a systematic review and meta-analysis by Amlaku Nigusie Yirsaw, Gebeyehu Lakew, Eyob Getachew, Mulugeta Desalegn Kasaye, Ermias Bekele Enyew, Demis Getachew, Abiyu Abadi Tareke

“…Potential publication bias and heterogeneity in the results between studies were assessed using Egger's test, forest plot, and I2 statistic, respectively. Results The pooled level of job satisfaction among health extension workers in Ethiopia was 46% (95%CI: 32%–60%). …”
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Variations in rumen microbiota and host genome impacted feed efficiency in goat breeds by Alaa Emara Rabee, Ibrahim Abou-souliman, Ahmed I. Yousif, Mebarek Lamara, Mohamed A. El-Sherbieny, Eman Ali Elwakeel, Ahmed M. Sallam

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Study on the driving factors of watershed runoff change in Zuli River by Budyko hypothesis and soil and water assessment tool model by Yun Zhao, Rui Zhang, Heping Shu, Yaxian Li, Zhi Xu, Qiang Wang

“…The sensitivity of land use to runoff changes was the most pronounced from 2000 to 2020, the land use categories most sensitive were grassland, cultivated land, forest land, and building land. The primary factor contributing to decrease in runoff was human activities, and the verification and rate of SWAT models are regularly acceptable. …”
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Impact of short-term soil disturbance on cadmium remobilization and associated risk in vulnerable regions by Zhong Zhuang, Hao Qi, Siyu Huang, Qiqi Wang, Yanan Wan, Huafen Li

“…Results revealed that fertilization, particularly with mineral phosphorus, disrupts soil stability, substantially increases short-term Cd mobility in vulnerable regions. Random Forest analysis identified elevated dissolved organic matter and pH changes as key drivers of Cd remobilization. …”
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Nest site selection during the second breeding attempt in Japanese tits (Parus minor): effects of nest site characteristics by Xudong Li, Jiangping Yu, Li Zhang, Dake Yin, Keqin Zhang, Mingju E, Haitao Wang

“…We compared nest site features of the Japanese tit’s nest boxes used for the first brood, those used for the second brood, and control nest boxes (which were unoccupied and located in the same forest patch as the nest boxes for the second brood during the corresponding year). …”
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Vegetation Dynamics and Sensitivity Responds to Climate Change in the Upstream of the Yellow River, China by XiangYu Lan, RuoWei Li, Xin Wang, TianCai Zhou, YunHui Li, JieJi Duo, Jian Sun

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ENERGY AND ECONOMIC EFFICIENCY OF BIOETHANOL PRODUCTION DEPENDING ON THE QUALITY OF CORN GRAIN by Vitalii Palamarchuk, Roman Lohosha, Vadim Krychkovskyi

“…The results of studies of the influence of foliar fertilisation with a bacterial preparation based on beneficial symbiotic and associative microorganisms Biomag, microfertilisers "ROSTOK" corn, Ecolist Mono Zinc, carried out in the phase of 5-7 and 10-12 leaves of corn, on the level of pre-harvest grain moisture, the number of rows of grains are presented, number of grains in a row, weight of 1000 grains, starch content in grain, productivity and bioethanol yield in hybrids of early maturing group Kharkiv 195 MV (FAO 190) and DKS 2971 (FAO 200), medium early group DKS 3795 (FAO 250) and DKS 3871 (FAO 2480) and medium maturing group DK 315 (FAO 310) and DK 440 (FAO 350) in agro-ecological conditions of the Forest-Steppe of Right-Bank Ukraine. The research is grounded in an evaluation of the efficacy of optimising the supply of plant nutrients through foliar fertilisation in the formation of grain yield and quality. …”
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Characterization of Wood Cellular Structure of Plantation Grown Anogeissus leiocarpa and Eucalyptus camaldulensis in the Savannah Ecological Zone, Ghana by Enoch Gbapenuo Tampori, Francis Kofi Bih, Emmanuel Appiah-Kubi, Issah Chakurah, Michael Awotwe-Mensah, Mark Bright Donkoh

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Pollen contamination and mating structure in maritime pine (Pinus pinaster Ait.) clonal seed orchards revealed by SNP markers by Bouffier, Laurent, Debille, Sandrine, Alazard, Pierre, Raffin, Annie, Pastuszka, Patrick, Trontin, Jean-François

“…Maritime pine (Pinus pinaster Ait.) is a major forest tree species in south-western Europe. In France, an advanced breeding program for this conifer species has been underway since the early 1960s. …”
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Clinical Predictors of Aspirin Resistance in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis by Fan Zhang, Hongyan Zheng

“…The pooled results were visually displayed using forest plots. …”
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Differentiated TB care matrix: Validating an assessment tool for healthcare workers providing differentiated TB care using Delphi technique by Riswana S. Ansari, Ankeeta Menona Jacob, Avinash K. Shetty, Shazia Anjum

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Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-In Device Sensors: A Proof-of-Concept Study by Olivia L. Finnegan, R. Glenn Weaver, Hongpeng Yang, James W. White, Srihari Nelakuditi, Zifei Zhong, Rahul Ghosal, Yan Tong, Aliye B. Cepni, Elizabeth L. Adams, Sarah Burkart, Michael W. Beets, Bridget Armstrong

“…Five machine learning models, logistic regression (LR), support vector machine, neural net (NN), k-nearest neighbors (k-NN), and random forest (RF), were trained using 57 features generated from the sensor output to perform multiclass classification. …”
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Predicting the exposure of mycophenolic acid in children with autoimmune diseases using a limited sampling strategy: A retrospective study by Ping Zheng, Ting Pan, Ya Gao, Juan Chen, Liren Li, Yan Chen, Dandan Fang, Xuechun Li, Fei Gao, Yilei Li

“…Ten algorithms, including Random Forest, XGBoost, LightGBM, Gradient Boosting Decision Tree, CatBoost, Artificial Neural Network, Grandient Boosting Machine, Transformer, Wide&Deep, and TabNet, were employed for modeling based on two, three, or four concentrations of MPA. …”
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Fully automated segmentation and classification of renal tumors on CT scans via machine learning by Jang Hee Han, Byung Woo Kim, Taek Min Kim, Ji Yeon Ko, Seung Jae Choi, Minho Kang, Sang Youn Kim, Jeong Yeon Cho, Ja Hyeon Ku, Cheol Kwak, Young-Gon Kim, Chang Wook Jeong

“…Both conventional radiological features (Hounsfield units, HUs) and radiomic features extracted from areas predicted by the deep learning models were used to develop an algorithm for classifying renal tumor subtypes via a random forest classifier. The performance of the segmentation model was evaluated using the Dice similarity coefficient, while the classification model was assessed based on accuracy, sensitivity, and specificity. …”
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