Carbon balance dynamic evolution and simulation coupling economic development and ecological protection: a case study of Jiangxi Province at county scale from 2000–2030 by Yuliang Deng, Min Huang, Daohong Gong, Yong Ge, Hui Lin, Daoye Zhu, Yong Chen, Orhan Altan

“…This study introduces an analytical framework that couples economic development with ecological protection by using coupling coordination degree analysis, carbon balance zoning, and the Markov-PLUS model. Taking Jiangxi Province as a case study, we evaluate the spatio-temporal dynamics of carbon balance from 2000–2020 and predict future trends for 2030 under four potential development scenarios. …”
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Detection of Apple Proliferation Disease Using Hyperspectral Imaging and Machine Learning Techniques by Uwe Knauer, Sebastian Warnemünde, Patrick Menz, Bonito Thielert, Lauritz Klein, Katharina Holstein, Miriam Runne, Wolfgang Jarausch

“…Including spatial distribution of spectral data further improves the results to 0.751. …”
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Sevoflurane aggravates hypoxic-ischemic encephalopathy in preterm neonates via VGluT1 upregulation and myelinogenesis impairment by Minyang Qin, Dongyan Shi, Xiaoqian Song, Ruiqing Zhang, Zhaowei Feng, Longzhi Li

“…Behavioral assessments using the Morris water maze (MWM) revealed that sevoflurane significantly exacerbated HI-induced spatial learning and memory deficits. Immunohistochemical and Western blot analyses showed that sevoflurane exposure caused significant reductions in myelin basic protein (MBP) levels and disrupted oligodendrocyte maturation. …”
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The impact of future changes in climate variables and groundwater abstraction on basin-scale groundwater availability by S. R. Rusli, S. R. Rusli, V. F. Bense, S. M. T. Mustafa, A. H. Weerts, A. H. Weerts

“…In addition, three plausible groundwater abstraction scenarios with diverging predictions from increasing, constant, and decreasing volumes and spatial distributions are used. …”
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<i>Plasmodium falciparum</i> parasite prevalence in East Africa: Updating data for malaria stratification. by Victor A Alegana, Peter M Macharia, Samuel Muchiri, Eda Mumo, Elvis Oyugi, Alice Kamau, Frank Chacky, Sumaiyya Thawer, Fabrizio Molteni, Damian Rutazanna, Catherine Maiteki-Sebuguzi, Samuel Gonahasa, Abdisalan M Noor, Robert W Snow

“…Bayesian spatiotemporal model-based approaches were used to interpolate space-time data at fine spatial resolution adjusting for population, environmental and ecological covariates across the three countries. …”
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Remote Sensing Estimation of CDOM for Songhua River of China: Distributions and Implications by Pengju Feng, Kaishan Song, Zhidan Wen, Hui Tao, Xiangfei Yu, Yingxin Shang

“…Multiple linear regression and five machine learning models were used to analyze the data. Among these models, XGBoost demonstrated a superior, highly stable performance on the validation set (R² = 0.85, RMSE = 0.71 m⁻¹). …”
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Relationship between stratigraphic overlap and sedimentary facies evolution of the Junggar Basin, Northwest China by Yuanpei Zhang, Qingchun Meng, Fajun Guo, Aihua Yan, Jun Xie, Hongmei Wang, Zaihe Chen, Xuecai Zhang

“…Abstract The interaction between the topography of the slope zone on the edge of the basin and the distribution of sediments is crucial for accurately predicting sediment distribution, but few studies emphasize the impact of stratigraphic overlap on the spatial evolution of sedimentary facies. …”
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Myocardial electrical instability score: clinical and prognostic significance by A. V. Frolov, T. G. Vaykhanskaya, O. P. Melnikova, A. P. Vorobev, A. G. Mrochek

“…Statistically significant differences were found between the values of T wave alternation, QT interval, fragmented QRS and QRS-T angle in groups 1 and 3 (-VTA) and (+VTA), p<0,005.Personalized model was formed for predicting the risk of life-threatening VTA (primary endpoints: pVT, appropriate CVD discharges, CPR, SCD) in patients with CAD and non-ischemic pathologies (cardiomyopathy, channelopathy) in 5 years follow-up. …”
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Comprehensive Probabilistic Analysis and Practical Implications of Rainfall Distribution in Pakistan by Fahad Haseeb, Shahid Ali, Naveed Ahmed, Nassir Alarifi, Youssef M. Youssef

“…Accurately selecting an appropriate probability distribution model is a critical challenge when predicting extreme rainfall in arid and semi-arid regions, especially in countries with diverse climatic conditions. …”
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Multi-Seasonal Risk Assessment of Hydrogen Leakage, Diffusion, and Explosion in Hydrogen Refueling Station by Yaling Liu, Yao Zeng, Guanxi Zhao, Huarong Hou, Yangfan Song, Bin Ding

“…Conversely, north/northwest winds in autumn/winter intensify hydrogen concentrations in compressor and station building areas. (3) An empirical formula integrating climatic parameters, leakage conditions, and spatial coordinates was proposed to predict hydrogen concentration (error < 20%). …”
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Effective management of urban water resources under various climate scenarios in semiarid mediterranean areas by Ioanna Nydrioti, Ioannis Sebos, Gianna Kitsara, Dionysios Assimacopoulos

“…The water resources management study of the region is carried out using the simulations of the RCA4 Regional Climate Model (RCM) driven by the HadGEM-ES global climate model of the Met Office Hadley Centre (MOHC) under 3 different climate emission scenarios, namely RCP 2.6, RCP 4.5 and RCP 8.5. …”
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Assessment of relationship between sea surface temperature (SST) changes and precipitation types in Nigeria from 2000 to 2022 by Tertsea Igbawua, Fanan Ujoh, Solomon Kwaghfan Mkighirga, Grace Adagba

“…The analysis of NIF values indicates a varied but generally stronger relationship between WAf SST anomalies and precipitation types compared to nino3.4 SST versus precipitation types. As a signal for prediction of seasonal and spatial distribution of precipitation across Nigeria’s different climatic zones, this outcome can support planning for food security, water and biodiversity conservation, and climate change adaptation and mitigation.…”
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Mesoscale Numerical Simulation and Cloud Microphysical Characteristics of the Warm Zone Blizzard in Northern Xinjiang by Anbei LI, Chenxiang JU, Yaman ZHOU, Man LI, Ruqi LI

“…The warm zone blizzard are both infrequent and highly destructive， making their accurate prediction a challenging and crucial focus.This study utilized four distinct cloud microphysics schemes （Lin， Thompson， WDM6， and WSM6） within the WRF mesoscale model to conduct a numerical simulation of a typical warm zone blizzard process in the northern Xinjiang in the middle of November 2016.The research objectives encompassed the evaluation of the model's capacity to simulate the warm zone blizzard， the selection of an optimal parameterization scheme， an analysis of the vertical distribution and evolution of hydrometeors during the snowstorm， and an exploration of the developmental patterns of related mesoscale systems contributing to the snowstorm.The analysis yielded the following key findings： （1） Among the diverse cloud microphysics parameterization schemes tested， the Lin scheme demonstrated the most favorable performance， effectively simulating snowfall magnitudes， spatial distributions， and trends.（2） In the cloud， all kinds of water condensate particles are active in the lower and middle troposphere， with graupel and snow being the most.Ice crystals， snow， cloud water and graupel particles are distributed from the upper layer to the lower layer.Near the windward slope of Altai Mountain is the center of the large concentration of each water condensate particle.The vertical alignment of the high value center of the four kinds of cloud water condensate particles in the strong snowfall area is conducive to the transformation of each particle.（3） High-humidity systems upstream moved westward， with the intensification of low-level southward jet streams resulting in pronounced moisture convergence.The western foothills of the Altai Mountains acted as a barrier， promoting moisture convergence by blocking the windward side； The low-level southerly jet also provides a continuous updraft and unstable condition for the generation of the blizzard.Strong snowfall is located in a wide updraft area between two groups of secondary circulations.The explosive growth of vertical movement is conducive to triggering the release of unstable energy， providing strong dynamic lifting conditions for the development and maintenance of the blizzard.…”
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Research trends and frontiers of groundwater-lake interaction by Zesen YANG, Jingjing LIN, Qixin CHANG, Aiguo ZHOU, Xiaolong HUANG

“…The primary research methods are stable isotopes, radioisotopes, temperature tracing, remote sensing, and numerical modelling. However, variations in data accuracy and spatial coverage continue to pose challenges for the practical application of these techniques. …”
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On the Universality of the Split Monopole Black Hole Magnetosphere by S. Selvi, O. Porth, B. Ripperda, L. Sironi

“…Our results enable a quantitative prediction of the timescales and spatial structure of these evolving magnetospheres, essential for understanding electromagnetic counterparts to gravitational wave events and reconnection-powered flares from accreting BHs.…”
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Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era by William Yi Wang, Suyang Zhang, Gaonan Li, Jiaqi Lu, Yong Ren, Xinchao Wang, Xingyu Gao, Yanjing Su, Haifeng Song, Jinshan Li

“…Finally, more duties are called to educate the next generation workforce with creative minds and skills. …”
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Application of deep learning for coherent pixel selection in time series InSAR for urban area and transport infrastructure monitoring by S. Azadnejad, A. Kandiri, A. Hrysiewicz, F. O’Loughlin, E.P. Holohan, S. Dev, S. Donohue

“…Predictions of temporal coherence from MLP and LSTM models are similar, but the MLP model training time is much faster. …”
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Skin-Inspired Magnetoresistive Tactile Sensor for Force Characterization in Distributed Areas by Francisco Mêda, Fabian Näf, Tiago P. Fernandes, Alexandre Bernardino, Lorenzo Jamone, Gonçalo Tavares, Susana Cardoso

“…The spatial sensitivity model was trained on 171,008 points and achieved a mean absolute error of 0.26 mm when predicting the location of applied force within a sensitive area of 25.5 mm × 25.5 mm using sensors spaced 4.5 mm apart. …”
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Laboratory study on temperature loss behavior of asphalt mixture during transportation by Tianyu Zhang, Xiang Liu, Xiao Li, Haoyuan Luo, Jingpeng Jia, Xiaolong Li

“…Furthermore, a backpropagation (BP) neural network model was employed to predict temperature variations during transportation. …”
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Do the Street Sweeping and Washing Work for Reducing the Near-ground Levels of Fine Particulate Matter and Related Pollutants? by Sheng-Lun Lin, Yunzhou Deng, Ming-Yeng Lin, Shih-Wei Huang

“…Results show that there were certain reductions of PM2.5 after the street washing, especially for the road section with drainage ditch. …”
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