Ophiostomatalean Fungi (Ascomycota, Ophiostomatales) Associated with Three Beetles from <i>Pinus sylvestris</i> var. <i>mongolica</i> in Heilongjiang, China by Zheng Wang, Caixia Liu, Yingjie Tie, Xiuyue Song, Huimin Wang, Quan Lu

Subjects: “…forest decline…”
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Impact of resin tapping on the radial growth and climate sensitivity of naturally- regenerated Pinus roxburghii (Chir pine) in Western Nepal by Bipin Bhattarai, Narayan Prasad Gaire, Tek Maraseni, Bishnu Prasad Devkota, Badri Bhattarai, Shankar Tripathi, Kamal Raj Aryal, Hari Adhikari

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Machine Learning Classifiers Based Classification For IRIS Recognition by Bahzad Taha Chicho, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dilovan Assad Zebari

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Development and validation of a machine learning-based model to predict survival in patients with cirrhosis after transjugular intrahepatic portosystemic shuntResearch in context by Binlin Da, Huan Chen, Wei Wu, Wuhua Guo, Anru Zhou, Qin Yin, Jun Gao, Junhui Chen, Jiangqiang Xiao, Lei Wang, Ming Zhang, Yuzheng Zhuge, Feng Zhang

Subjects: “…Random forest model…”
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Le « paysage de l’historien » : entre sources et méthodes by Marie Delcourte

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Influence of Meteorological Conditions and Fire Hotspots on PM0.1 in Northern Thailand during Strong Haze Episodes and Carbonaceous Aerosol Characterization by Chaiyoth Sresawasd, Thaneeya Chetiyanukornkul, Phuchiwan Suriyawong, Surajit Tekasakul, Masami Furuuchi, Mitsuhiko Hata, Rachane Malinee, Perapong Tekasakul, Racha Dejchanchaiwong

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Anomaly Detection in IoMT Environment Based on Machine Learning: An Overview by Peyman Vafadoost Sabzevar, Hamidreza Rokhsati, Alireza Chamansara, Ahmad Hajipour

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Unraveling the individual and interactive effects of climate and competition on branch growth dynamics in Pinus koraiensis in Northeast China by Xuehan Zhao, Zheng Miao, Zheng Miao, Fengri Li, Fengri Li, Yuanshuo Hao, Yuanshuo Hao, Yumeng Jiang, Lihu Dong, Lihu Dong

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FOREIGN EXPERIENCE OF FORMATION OF EXPORT-ORIENTED TIMBER PROCESSING COMPLEXES by P. Chomaev

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Out-of-Sample Predictability of the Equity Risk Premium by Daniel de Almeida, Ana-Maria Fuertes, Luiz Koodi Hotta

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Development of a machine learning model related to explore the association between heavy metal exposure and alveolar bone loss among US adults utilizing SHAP: a study based on NHAN... by Jiayi Chen

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Utilisation du bois dans les pêcheries côtières du Cameroun by Hyacinthe Angoni, Alphonse Pouokam Tatchim, Bernard Aloys Nkonmeneck, Elie Nguekam

Subjects: “…degradation of coastal forest zone…”
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Learnings from COVID-19 Forced Lockdown on Regional Air Quality and Mitigation Potential for South Asia by Abhishek Upadhyay, Parth Sarathi Mahapatra, Praveen Kumar Singh, Sishir Dahal, Suresh Pokhrel, Amit Bhujel, Indu Bikram Joshi, Shankar Prasad Paudel, Siva Praveen Puppala, Bhupesh Adhikary

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Vapor pressure deficit (VPD) downscaling based on multi-source remote sensing, in-situ observation, and machine learning in China by Mi Wang, Zhuowei Hu, Xiangping Liu, Wenxing Hou

Subjects: “…Random forest model…”
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The large and central Caligo martia eyespot may reduce fatal attacks by birds: a case study supports the deflection hypothesis in nature by Iserhard, Cristiano Agra, Malta, Shimene, Penz, Carla, Fraga, Brenda Barbon, Costa, Camila Abel, Schwantz, Taiane, Bordin, Kauane Maiara

Subjects: “…Butterfly facsimiles, Defence strategy, Eye-mimicry, Intimidation, Neotropics, Restinga Forest…”
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Association of multiple environmental exposures with rhinitis and asthma symptoms in preschool children: Identifying critical risk factor by Shuang Du, Hao Tang, Han Chen, Yang Shen, Zhiping Niu, Tianyi Chen, Jing Wei, Xia Meng, Wen Su, Qun Wu, Yongqiang Tan, Jing Cai, Zhuohui Zhao

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Analysis of the Propagation Characteristics of Meteorological Drought to Hydrological Drought and Their Joint Effects on Low-Flow Drought Variability in the Oum Er Rbia Watershed,... by Ismaguil Hanadé Houmma, Abdessamad Hadri, Abdelghani Boudhar, Ismail Karaoui, Sabir Oussaoui, El Mahdi El Khalki, Abdelghani Chehbouni, Christophe Kinnard

Subjects: “…random forest…”
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Predicting child mortality determinants in Uttar Pradesh using Machine Learning: Insights from the National Family and Health Survey (2019–21) by Pinky Pandey, Sacheendra Shukla, Niraj Kumar Singh, Mukesh Kumar

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Ce que les transitions forestières font à l’expérience paysagère by Sébastien Nageleisen, Baptiste Hautdidier, Laurent Couderchet, Zoé Ginter

Subjects: “…forest transition…”
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Intra-specific variation in mortality of even-aged Cryptomeria japonica (L. f.) D. Don. forests can be explained using relationships among long-term stand characteristics by Keiko Fukumoto, Tomohiro Nishizono, Fumiaki Kitahara

“…Annals of Forest Science…”
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