Global Research Trends in Performance-Based Structural Design: A Comprehensive Bibliometric Analysis by Mistreselasie S. Abate, Ana Catarina Jorge Evangelista, Vivian W. Y. Tam

“…However, previous studies have lacked crucial components such as local soil condition, ground response analysis, topographic influences, active fault characteristics, slip rates, groundwater behaviour, and slope considerations. …”
Get full text

IMPLEMENTATION OF MAPPING-BASED MACHINE LEARNING ALGORITHM AS NON-STRUCTURAL DISASTER MITIGATION TO DETECT LANDSLIDE SUSCEPTIBILITY IN TAKARI DISTRICT by Sefri Imanuel Fallo, Lidia Paskalia Nipu

“…These predictions are influenced by several factors, including average temperature, humidity levels, wind speed, duration of sunlight, and wind direction at maximum speed. …”
Get full text

Understanding the effects of forest management on streams and rivers: A synthesis of research conducted in New Brunswick (Canada) 2014–2018 by Maitane Erdozain, Karen A. Kidd, Lauren Negrazis, Scott S. Capell, David P. Kreutzweiser, Michelle A. Gray, Erik J.S. Emilson

“…The important stream function of leaf litter breakdown was negatively influenced by increased management intensity. Management practices related to roads warrant special attention, as roads tended to be more related to changes in stream indicators than tree removal. …”
Get full text

Predicting habitat suitability of Illicium griffithii under climate change scenarios using an ensemble modeling approach by Anubhav Bhuyan, Amal Bawri, Bhrigu Prasad Saikia, Shilpa Baidya, Suhasini Hazarika, Bijay Thakur, Vivek Chetry, Bidya Sagar Deka, Pangkhi Bharali, Amit Prakash, Kuladip Sarma, Ashalata Devi

“…Illicium griffithii, an endangered tree with ecological and medicinal value, remains understudied, particularly in Arunachal Pradesh. …”
Get full text

Integrating Soil, Leaf, Fruitlet, and Fruit Nutrients, Along with Fruit Quality, to Predict Post-Storage Quality of Staccato Sweet Cherries by Mehdi Sharifi, William Wolk, Keyvan Asefpour Vakilian, Hao Xu, Stephanie Slamka, Karen Fong

Get full text

Investigating the Distribution Dynamics of the <i>Camellia</i> Subgenus <i>Camellia</i> in China and Providing Insights into <i>Camellia</i> Resources Management Under Future Clima... by Yue Xu, Bing-Qian Guan, Ran Chen, Rong Yi, Xiao-Long Jiang, Kai-Qing Xie

“…Rapid climate change has significantly impacted species distribution patterns, necessitating a comprehensive understanding of dominant tree dynamics for effective forest resource management and utilization. …”
Get full text

Identifying drivers of surface ozone bias in global chemical reanalysis with explainable machine learning by K. Miyazaki, Y. Marchetti, J. Montgomery, S. Lu, K. Bowman

“…The global distributions of ozone bias predicted by ML revealed systematic patterns influenced by meteorological conditions, geographic features, anthropogenic activities, and biogenic emissions. …”
Get full text

Prediction of Pollutant Emissions from a Low-Speed Marine Engine Based on Harris Hawks Optimization and Lightgbm by Yue Chen, Yulong Shen, Miaomiao Wen, Cunfeng Wei, Junjie Liang, Yuanqiang Li, Ying Sun

“…The results show that changes in engine control parameters have significant influences on NOx and soot emissions from the engine, which can serve as the basis for the selection of the LGB model features; the LGB model was able to accurately predict pollutant concentrations from the engine with much higher accuracy than a single decision tree (DT) model; combining with HHO, the predictive ability of the LGB model was significantly improved, such as for the validation set prediction results, the mean absolute error (MAE) was reduced by about 20%, the mean squared error (MSE) was reduced by about 30%, and the coefficient of determination (R²) was increased by about 0.005; and the importance analysis of the model features indicated that the combustion condition of the fuel was highly correlated with the generation of the pollutants, and the fuel injection phases can be adjusted in practice to achieve highly efficient and low-emission processes of combustion. …”
Get full text

Potential Suitable Area Change and Carbon Sequestration Potential of Robinia pseudoacacia Plantation under Climate Change Scenario by MA Yunlei, HAN Lei, WANG Nana, MA Jun, WANG Yuan, MA Shijie

“…［Objective］ Robinia pseudoacacia, as the main afforestation tree species in China, plays an important role in improving the ecological environment and increasing carbon storage to alleviate climate change. …”
Get full text

Potential Distribution of <i>Anoplophora horsfieldii Hope</i> in China Based on MaxEnt and Its Response to Climate Change by Dan Yong, Danping Xu, Xinqi Deng, Zhipeng He, Zhihang Zhuo

“…<i>Anoplophora horsfieldii Hope</i>, a potential pest of the Cerambycidae family, is widely distributed throughout China, where it can cause damage to various living tree species. It has emerged as a critical invasive organism threatening China’s agricultural and forestry production as well as ecological security. …”
Get full text

Sensory Quality and Physicochemical Components Changes of Zhenghe Baimudan White Tea during a Storage Period of 1~8 Years by Yu SHEN, Haiyan ZHU

“…In order to explore the dynamic changes and correlations of the physicochemical components and quality characteristics of Zhenghe white tea during the storage process, eight samples of Zhenghe baimudan white tea from the same origin but different years (2015~2022), with identical tea tree variety, picking standards, processing technology, and storage conditions were selected for sensory evaluation and determination of main physicochemical components. …”
Get full text

Mapping ecological states in the upper Colorado River basin: implications for fire management by John P Severson, Tara B B Bishop, Anna C Knight, Travis W Nauman, Brandon E McNellis, Miguel L Villarreal, Sasha C Reed, Kristina E Young, Mark Brunson, Michael C Duniway

“…Despite increasing drought conditions during the study period, the invaded states continued to increase in area, indicating additional underlying mechanisms. …”
Get full text

Unraveling the Spatiotemporal Dynamics of Rubber Phenology in Hainan Island, China: A Multi-Sensor Remote Sensing and Climate Drivers Analysis by Hongyan Lai, Bangqian Chen, Guizhen Wang, Xiong Yin, Xincheng Wang, Ting Yun, Guoyu Lan, Zhixiang Wu, Kai Jia, Weili Kou

“…Rubber Tree (<i>Hevea brasiliensis</i>) phenology critically influences tropical plantation productivity and carbon cycling, yet topography and climate impacts remain unclear. …”
Get full text

Impact of long-term loquat cultivation on rhizosphere soil characteristics and AMF community structure: implications for fertilizer management by Yu Zhang, Zhenteng Liang, Liangxun Zheng, Xinyang Wang, Hui Chen, Tingying Xu, Ming Tang

“…The role of arbuscular mycorrhizal fungi (AMF) in assisting the growth of different fruit tree species is well-established, yet the impact of loquat cultivation under long-term human management on the rhizosphere soil characteristics and AMF community structure remains unresolved. …”
Get full text

Weaning performance prediction in lactating sows using machine learning, for precision nutrition and intelligent feeding by Jiayi Su, Xiangfeng Kong, Wenliang Wang, Qian Xie, Chengming Wang, Bie Tan, Jing Wang

“…This study presents a novel framework that provides valuable insights into the factors influencing weaning performance under diverse management practices and feed nutrient conditions. …”
Get full text

An Utilizing Marginal Red Yellow Podzolic Soil as a Growing Medium for Auxin-Soaked Cutting Propagation of Red Master Grapes (Vitis vinifera L) by Saktiyono Sigit Tri Pamungkas, Yudhi Pramudya, Fitria Nugraheni Sukmawati, Tusrianto Tusrianto, Farrah Fadhillah Hanum

“…The survival percentage of cuttings is still low because it is influenced by the quality (material) of the cuttings, the age of the parent tree, growing media and water availability.…”
Get full text

Prediction of the volume of shallow landslides due to rainfall using data-driven models by J. Tuganishuri, C.-Y. Yune, G. Kim, S. W. Lee, M. D. Adhikari, S.-G. Yum

“…., ordinary least squares or linear regression (OLS), random forest (RF), support vector machine (SVM), extreme gradient boosting (EGB), generalized linear model (GLM), decision tree (DT), deep neural network (DNN), <span class="inline-formula"><i>k</i></span>-nearest-neighbor (KNN), and ridge regression (RR) algorithms) for the prediction of the volume of landslides due to rainfall, considering geological, geomorphological, and environmental conditions. …”
Get full text

Drought–Rewatering Cycles: Impact on Non-Structural Carbohydrates and C:N:P Stoichiometry in <i>Pinus yunnanensis</i> Seedlings by Weisong Zhu, Yuanxi Liu, Zhiqi Li, Jialan Chen, Junwen Wu

“…<i>Pinus yunnanensis</i>, a native tree species in southwest China that possesses significant ecological and economic value, exhibits a high sensitivity to drought stress, particularly in its seedlings. …”
Get full text

Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning by Jingjing Liu, Chang Liu, Zhangdaihong Liu, Yibin Zhou, Xiaoguang Li, Yang Yang

“…Abstract Background Metabolic diseases (MDs), exemplified by diabetes, hypertension, and dyslipidemia, have become increasingly prevalent with rising living standards, posing significant public health challenges. The MDs are influenced by a complex interplay of genetic factors, lifestyle choices, and socioeconomic conditions. …”
Get full text