Sectarian and Secular: Lay Perspectives in <i>Stūpa</i> Burials at Mount Zhongnan During the Tang Dynasty (AD 618–906) by Wen Sun

“…This article examines lay participation in the <i>stūpa</i> forest at Mount Zhongnan in Chang’an during the seventh and eighth centuries, drawing primarily on inscriptions evidence. …”
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SIGMA: Wireless System with Geolocation for Environmental Monitoring by Christian Tipantuña, Jeaneth Acero, Christian Reyes, Danny S. Guamán, José Estrada-Jiménez

“…The increase in the number of automotive parks, the emissions generated by industries, and the forest fires, among others, deteriorate the air quality of the Metropolitan District of Quito. …”
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Epigenetic suppression of creatine kinase B in adipocytes links endoplasmic reticulum stress to obesity-associated inflammation by Gianluca Renzi, Ivan Vlassakev, Mattias Hansen, Romane Higos, Simon Lecoutre, Merve Elmastas, Ondrej Hodek, Thomas Moritz, Lynn M. Alaeddine, Scott Frendo–Cumbo, Ingrid Dahlman, Alastair Kerr, Salwan Maqdasy, Niklas Mejhert, Mikael Rydén

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Intensification of Natural Disasters in the State of Pará and the Triggering Mechanisms Across the Eastern Amazon by Everaldo B. de Souza, Douglas B. S. Ferreira, Luciano J. S. Anjos, Alan C. Cunha, João Athaydes Silva, Eliane C. Coutinho, Adriano M. L. Sousa, Paulo J. O. P. Souza, Waleria P. Monteiro Correa, Thaiane S. Silva Dias, Alexandre M. C. do Carmo, Carlos B. B. Gutierrez, Giordani R. C. Sodré, Aline M. M. Lima, Edson J. P. Rocha, Bergson C. Moraes, Luciano P. Pezzi, Tercio Ambrizzi

“…A clear seasonal pattern was observed, with Hydrological disasters (Inundations, Flash floods, and Heavy rainfall) peaking between February and May, while Climatological disasters (Droughts and Forest fires) were most frequent from August to October. …”
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The geographical variation in grassland forage quality on the eastern Qinghai-Tibet Plateau is driven mainly by climate by Shulan Wu, Xiaotao Lü, Qinghua Liu, Erke Wuda, Liu Li, Chunzhang Zhao, Juanjuan Huang, Shuang Li, Youbang Hu, Wenzhi Du, Hewen Li, Chaoqun Chen, Lin Luo, Ali Raza, Chunying Yin

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Implementasi Algoritma Catboost Dan Shapley Additive Explanations (SHAP) Dalam Memprediksi Popularitas Game Indie Pada Platform Steam by Mohammad Teddy Syamkalla, Siti Khomsah, Yohani Setya Rafika Nur

“…Penelitian sebelumnya telah mencoba menggunakan algoritma logistic regression dan random forest untuk meramalkan popularitas game indie di platform Steam, namun hasil model menggunakan berbagai macam metode masih rendah. …”
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Perbandingan Metode Supervised Machine Learning untuk Prediksi Prevalensi Stunting di Provinsi Jawa Timur by M Syauqi Haris, Ahsanun Naseh Khudori, Wahyu Teja Kusuma

“…Selain itu, beberapa metode dalam supervised machine learning juga dibandingkan yaitu, linier regression, support vector regression, dan random forest regression.Metode support vector regression dalam penelitian ini memiliki nilai galat yang lebih rendah yaitu 0,91 untuk MAE dan 1,30 untuk MSE. …”
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MASFNet: Multi-level attention and spatial sampling fusion network for pine wilt disease trees detection by Dong Ren, Meng Li, Ziyu Hong, Li Liu, Jingfeng Huang, Hang Sun, Shun Ren, Pan Sao, Wenbin Wang, Jingcheng Zhang

“…These experimental results indicate that MASFNet can suppress the false detection of PWD and is suitable for disease tree detection tasks in larger forest areas. The code is available at https://github.com/lmctgu/MASFNet.…”
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Dealing With the Complexity of Effective Population Size in Conservation Practice by Ancuta Fedorca, Joachim Mergeay, Adejoke O. Akinyele, Tamer Albayrak, Iris Biebach, Alice Brambilla, Pamela A. Burger, Elena Buzan, Ino Curik, Roberta Gargiulo, José A. Godoy, Santiago C. González‐Martínez, Christine Grossen, Myriam Heuertz, Sean Hoban, Jo Howard‐McCombe, Maria Kachamakova, Peter Klinga, Viktoria Köppä, Elenora Neugebauer, Ivan Paz‐Vinas, Peter B. Pearman, Laia Pérez‐Sorribes, Baruch Rinkevich, Isa‐Rita M. Russo, Adélaïde Theraroz, Nia E. Thomas, Marjana Westergren, Sven Winter, Linda Laikre, Alexander Kopatz

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High-throughput methylation sequencing reveals novel biomarkers for the early detection of renal cell carcinoma by Wenhao Guo, Weiwu Chen, Jie Zhang, Mingzhe Li, Hongyuan Huang, Qian Wang, Xiaoyi Fei, Jian Huang, Tongning Zheng, Haobo Fan, Yunfei Wang, Hongcang Gu, Guoqing Ding, Yicheng Chen

“…We then constructed a random forest-based diagnostic model for early-stage RCC and validated the model using two independent datasets: a TCGA set of 460 RCC tumors and controls, and a blood sample set from our study of 15 RCC cases and 29 healthy controls. …”
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AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study by Tai-Han Lin, Hsing-Yi Chung, Ming-Jr Jian, Chih-Kai Chang, Hung-Hsin Lin, Chiung-Tzu Yen, Sheng-Hui Tang, Pin-Ching Pan, Cherng-Lih Perng, Feng-Yee Chang, Chien-Wen Chen, Hung-Sheng Shang

“…The machine learning models demonstrated high predictive accuracy, with LGBM achieving the highest area under the curve (0.90), followed by the random forest classifier (0.89) and gradient boosting classifier (0.88). …”
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Vegetation height estimation based on machine learning model driven by multi-source data in Eurasian temperate grassland by Wuhua Wang, Jiakui Tang, Na Zhang, Xuefeng Xu, Anan Zhang, Yanjiao Wang, Kaihui Li, Yidan Wang

“…The results highlighted the superior performance of the Random Forest with an R2 of 0.54, RMSE of 7.39 cm, and MPAE of 49.25 %. …”
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Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer’s disease by Colin Birkenbihl, Madison Cuppels, Rory T. Boyle, Hannah M. Klinger, Oliver Langford, Gillian T. Coughlan, Michael J. Properzi, Jasmeer Chhatwal, Julie C. Price, Aaron P. Schultz, Dorene M. Rentz, Rebecca E. Amariglio, Keith A. Johnson, Rebecca F. Gottesman, Shubhabrata Mukherjee, Paul Maruff, Yen Ying Lim, Colin L. Masters, Alexa Beiser, Susan M. Resnick, Timothy M. Hughes, Samantha Burnham, Ilke Tunali, Susan Landau, Ann D. Cohen, Sterling C. Johnson, Tobey J. Betthauser, Sudha Seshadri, Samuel N. Lockhart, Sid E. O’Bryant, Prashanthi Vemuri, Reisa A. Sperling, Timothy J. Hohman, Michael C. Donohue, Rachel F. Buckley

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A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery by Jin-Can Huang, Shao-Cheng Lyu, Bing Pan, Han-Xuan Wang, You-Wei Ma, Tao Jiang, Qiang He, Ren Lang

“…The AUC following 10-fold stratified cross-validation in the logistic regression (0.864) is better than SVM (0.693), random forest (0.789), decision tree (0.790), and XGBoost (0.726). …”
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Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms by Billy Ogwel, Vincent H. Mzazi, Alex O. Awuor, Caleb Okonji, Raphael O. Anyango, Caren Oreso, John B. Ochieng, Stephen Munga, Dilruba Nasrin, Kirkby D. Tickell, Patricia B. Pavlinac, Karen L. Kotloff, Richard Omore

“…While the random forest model showed slight deviations from perfect calibration, these deviations were not statistically significant (Brier score = 0.17, Spiegelhalter p-value = 0.219). …”
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Adaptive Fault-Tolerant Routing in 2D Mesh with Cracky Rectangular Model by Yi Yang, Meirun Chen, Hao Li, Lian Li

“…Additionally, the model constructs the interior spanning forest for each block in order to keep in touch with the nodes inside of each block. …”
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Analysis and Prediction of the Interval Duration between the First and Second Accidents considering the Spatiotemporal Threshold by Fang Liu, Lanlan Zheng, Mingyang Li, Jinjun Tang

“…Then, on the basis of using Kaiser-Meyer-Olkin (KMO) measure and Bartlett’s sphere test statistics to ensure the applicability of the data to the factor analysis method, the explanatory variables that can significantly affect the interval duration are obtained through the factor analysis method. Finally, the random forest model (RF), which combines the advantages of machine learning methods, is employed to predict the duration of the interval. …”
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Land Use Intensification Effects in Soil Arthropod Community of an Entisol in Pernambuco State, Brazil by G. M. Siqueira, E. F. F. Silva, J. Paz-Ferreiro

“…The land uses studied were native thorn forest plus seven agricultural fields planted with elephant grass, apple guava, passion fruit, carrot, maize, tomato, and green pepper. …”
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Invasive Alien Species of Terrestrial Vegetation of North-Eastern Uttar Pradesh by Sumit Srivastava, Ashish Dvivedi, Ravindra Prasad Shukla

“…The vegetational landscape of north-eastern Terai region at the foot hills of Central Himalayas is a mosaic of grassland, old-field, wasteland, and forest ecosystems. Like many other parts of the country, this region is also infested with alien intruders which not only interfere with the growth and production of food crops but also exercise adverse effects on the biodiversity of native species. …”
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Experimental and Analytical Study on the Vibration Performance of U-Shaped Steel-Concrete Composite Hollow Waffle Slab by Xi Zhang, Qiming Wang, Yousan Wang, Qing Li

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