Integrating Disaster Risk Reduction Principles into Pesantren Curriculum Using the Sendai Framework by Suryadi Nasution, Ali Jusri Pohan, Khairurrijal Khairurrijal, Nelmi Hayati, Zuhdi Hsb, Andri Muda Nst

“… This study investigates the potential of Pesantren Darussalam Parmeraan, North Sumatra, to foster disaster resilience by integrating Sendai Framework’s disaster risk reduction (DRR) principles into its Islamic education curriculum. Situated in a forested area near a river, the pesantren faces flood and landslide risks. …”
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The Potential of Hybrid Pixel Detectors in the Search for the Neutrinoless Double-Beta Decay of 116Cd by Thilo Michel, Thomas Gleixner, Jürgen Durst, Mykhaylo Filipenko, Stefan Geißelsöder

“…We found that a CdTe sensor layer with 3 mm thickness and 165 μm pixel pitch is optimal with respect to the effective Majorana neutrino mass (mββ) sensitivity. In simulations, we were able to demonstrate a possible reduction of the background level caused by single electrons by approximately 75% at a specific background rate of 10−3 counts/(kg×keV×yr) at a detection efficiency reduction of about 23% with track analysis employing random decision forests. …”
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Hybrid ANFIS systems: Evaluation of bearing capacity of driven piles by Yan Peng, Haiquan Gao

“…To increase the optimal networks’ modeling efficacy, optimization methods were deployed to determine the essential parameters of the simulations. Also, other algorithms were developed for comparison purposes, such as single ANFIS, support vector regression (SVR) M5P, multi-adaptive regression spline (MARS), random forests (RF), and random trees (RT). …”
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Douglas-fir seedlings exhibit metabolic responses to increased temperature and atmospheric drought. by Kirstin Jansen, Baoguo Du, Zachary Kayler, Rolf Siegwolf, Ingo Ensminger, Heinz Rennenberg, Bernd Kammerer, Carsten Jaeger, Marcus Schaub, Jürgen Kreuzwieser, Arthur Gessler

“…In the future, periods of strongly increased temperature in concert with drought (heat waves) will have potentially detrimental effects on trees and forests in Central Europe. Norway spruce might be at risk in the future climate of Central Europe. …”
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Refining Rainfall Derived from Satellite Radar for Estimating Inflows at Lam Pao Dam, Thailand by Nathaporn Areerachakul, Jaya Kandasamy, Saravanamuthu Vigneswaran, Kittitanapat Bandhonopparat

“…Rainfall data from the Weather Research and Forecasting (WRF) numerical models were used as inputs for the HEC-HMS model to simulate water inflows into the dam. To refine rainfall estimates, various microphysics schemes were tested, including WSM3, WSM5, WSM6, Thompson, and Thompson Aerosol-Aware. …”
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Spatio-temporal heterogeneity and driving mechanism of ecosystem water use efficiency in the Loess Plateau, China by Feiyu Wang, Jun Xia, Lei Zou, Liping Zhang, Xiaoyang Li, Jiarui Yu

“…In this study, WUE was estimated based on GPP from the Moderate Resolution Imaging Spectroradiometer (MODIS) product and ET simulated by the Priestley Taylor Jet Propulsion Laboratory (PT-JPL) model. …”
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Climate change of ZayandehRood watershed based on IPCC scenarios and Köppen–Geiger classification by Mojgan Mirzaei, Bryce Lawrence, Amir Masoud Samani Majd

“…In this research, monthly temperature and precipitation data simulated by TYNSC2.03 in the 21st century (2001-2100) has been used. …”
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Carbon sequestration in different urban vegetation types in Southern Finland by L. Thölix, L. Backman, M. Havu, M. Havu, E. Karvinen, J. Soininen, J. Trémeau, O. Nevalainen, J. Ahongshangbam, L. Järvi, L. Järvi, L. Kulmala

“…In this study, we examined the performance of three models – the Jena Scheme for Biosphere–Atmosphere Coupling in Hamburg (JSBACH), the Lund–Potsdam–Jena General Ecosystem Simulator (LPJ-GUESS), and the Surface Urban Energy and Water Balance Scheme (SUEWS) – in estimating carbon sequestration rates in both irrigated and non-irrigated lawns, park trees (<i>Tilia cordata</i>), and urban forests (<i>Betula pendula</i>) in Helsinki, Finland. …”
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Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks by William Villegas-Ch, Jaime Govea, Alexandra Maldonado Navarro, Pablo Palacios Jativa

“…The proposed method was evaluated using a customized dataset from a simulated IoT network to reflect real-world attack scenarios, including Denial of Service, Spoofing, and Man-in-the-Middle. …”
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Adaptive Multi-Scale Bayesian Framework for MFL Inspection of Steel Wire Ropes by Xiaoping Li, Yujie Sun, Xinyue Liu, Shaoxuan Zhang

“…To validate our method, we implemented a four-channel MFL detection system and conducted extensive experiments on both simulated and real-world datasets. Compared with state-of-the-art methods, including long short-term memory (LSTM), attention mechanisms, and isolation forests, our approach demonstrated significant improvements in precision, recall, and F1 score across various tolerance levels. …”
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Soixante années de recherches en coopération sur l'érosion hydrique et la lutte antiérosive au Maghreb by Éric Roose, Mohamed Sabir, Mourad Arabi, Boutkhil Morsli, Mohamed Mazour

“…In Morocco, teams of ENFI foresters, Rabat University geographers and IRD have described and analysed 30 SWC systems developed by farmers living in the Atlas mountains. …”
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Revolutionizing pharmacology: AI-powered approaches in molecular modeling and ADMET prediction by Irfan Pathan, Arif Raza, Adarsh Sahu, Mohit Joshi, Yamini Sahu, Yash Patil, Mohammad Adnan Raza, Ajazuddin

“…Core AI algorithms support vector machines, random forests, graph neural networks, and transformers are examined for their applications in molecular representation, virtual screening, and ADMET property prediction. …”
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Estimating CO2 flows in urban parks: knowns and unknowns by Caroline Moinel, Matti Kuittinen, Ranja Hautamäki

“…Planted woody vegetation and existing forested areas had the highest CO2 uptake among the vegetation types. …”
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Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users by Christopher Meaney, Xuesong Wang, Jun Guan, Therese A. Stukel

“…Models were separately trained using nine different HPO methods: 1) random sampling, 2) simulated annealing, 3) quasi-Monte Carlo sampling, 4-5) two variations of Bayesian hyper-parameter optimization via tree-Parzen estimation, 6-7) two implementations of Bayesian hyper-parameter optimization via Gaussian processes, 8) Bayesian hyper-parameter optimization via random forests, and 9) the covariance matrix adaptation evolutionary strategy. …”
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Groundwater recharge estimation in relation to land use type and soil: the case of Hormat-Golina sub-basin, northern Ethiopia by Seyoum Bezabih Kidane, Mariye Melkam Taye, Mariye Melkam Taye

“…The highest recharge rates were recorded in forested areas with sandy soil.…”
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Artificial intelligence in vaccine research and development: an umbrella review by Rabie Adel El Arab, May Alkhunaizi, May Alkhunaizi, Yousef N. Alhashem, Alissar Al Khatib, Munirah Bubsheet, Salwa Hassanein, Salwa Hassanein

“…Quality assessments were performed using the ROBIS and AMSTAR 2 tools to evaluate risk of bias and methodological rigor.ResultsAmong the 27 reviews, traditional machine learning approaches—random forests, support vector machines, gradient boosting, and logistic regression—dominated tasks from antigen discovery and epitope prediction to supply‑chain optimization. …”
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To what extent does the CO₂ diurnal cycle impact flux estimates derived from global and regional inversions? by S. Munassar, S. Munassar, S. Munassar, C. Rödenbeck, M. Gałkowski, M. Gałkowski, F.-T. Koch, F.-T. Koch, K. U. Totsche, K. U. Totsche, S. Botía, C. Gerbig

“…Furthermore, the differences in NEE estimates calculated with CS increase the magnitude of the flux budgets for some regions such as North American temperate forests and northern Africa by a factor of about 1.5. …”
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Cascaded Machine Learning of Soil Moisture and Salinity Prediction in Estuarine Wetlands Based on In Situ Internet of Things Monitoring by Jie Song, Yujun Yi

“…Artificial Neural Networks, Support Vector Machines, Random Forests (RF), and Gradient Boosting Decision Trees (GBDT) were used to develop the soil moisture and salinity prediction models. …”
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Genome-wide identification of key genes related to chloride ion (Cl−) channels and transporters in response to salt stress in birch by Xiuyan Bian, Tao Xie, Jiying Chen, Chunxu Li, Dandan Yin, Wenbo Zhang

“…The findings of our study can provide valuable resources for genetic improvement of salt-tolerant birch varieties for high-quality plantation forests in harsh environments.…”
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Cropland encroachment on ecological land in Mainland Southeast Asia leads to massive carbon emissions by Danni Su, Kun Yang, Zongqi Peng, Run Sun, Mingfeng Zhang, Xiaofang Yang, Lusha Ma, Jingcong Ma

“…The largest carbon stock loss is in forests and shrublands. Under SSP1-RCP2.6, converting cropland to ecological land increases carbon stocks by 1.58 × 108t, offsetting 5.79 × 108t of CO2 emissions. …”
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