STRENGTHENING RESILIENCE: THE ROLE OF INSTITUTIONS IN FACILITATING LOCAL AGRICULTURAL ADAPTATION TO THE IMPACT OF CLIMATE CHANGE IN TANZANIA by Reginald Chetto, Makarius Mdemu, Jacob Kihila

“…The result showed that institutions that operate in the villages under study which include agricultural extension agencies, Non-Governmental organisations, private companies and village governments, have played such roles as providing drought-resistant seeds, disseminating seasonal weather forecast information and supporting the establishment of income diversification activities to farmers. …”
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Quantitative Attribution Analysis of the Spatial Differentiation of Gully Erosion in the Black Soil Region of Northeast China by Ranghu Wang, Nan Wang, Yingchao Fan, Huan Sun, Hanpei Fu, Jiuchun Yang

“…A total of 18 indicators in 6 categories, including topography, climate and weather, soil properties, lithology, land use, have been taken into consideration. …”
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Rat Nasal Respiratory Mucosa-Derived Ectomesenchymal Stem Cells Differentiate into Schwann-Like Cells Promoting the Differentiation of PC12 Cells and Forming Myelin In Vitro by Jian Zhang, Xin Gao, Hongjun Zou, Jinbo Liu, Zhijian Zhang

“…Schwann cell (SC) transplantation as a cell-based therapy can enhance peripheral and central nerve repair experimentally, but it is limited by the donor site morbidity for clinical application. We investigated weather respiratory mucosa stem cells (REMSCs), a kind of ectomesenchymal stem cells (EMSCs), isolated from rat nasal septum can differentiate into functional Schwann-like cells (SC-like cells). …”
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Application of SIMETAW simulation model for prediction of climate parameters in different regions of Iran by Hooshmand Ataei, Mahsa Ravarian, Seyed Alireza Tashakori Hashemi

“…The simulation of daily weather information where there are only monthly averages is a great tool for filling out lost data. …”
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Antipredator behaviour in semi-feral horses: innate response and the influence of external factors by Antoine Bercy, Francisco Ceacero, Martina Komárková

“…We assessed alert behaviour and herd grouping while accounting for variables such as herd size, sex, time of day, weather conditions, environment type, presence of other ungulates, and habituation effects. …”
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Applying deep learning model to aerial image for landslide anomaly detection through optimizing process by Chwen-Huan Wang, Li Fang, Chiung-Yun Hu

“…Taiwan’s mountainous terrain is highly susceptible to landslides due to extreme weather events and anthropogenic activities. This study proposed a process offering an efficient reliable approach for rapid post-hazard landslide anomaly detection. …”
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CM-YOLO: Typical Object Detection Method in Remote Sensing Cloud and Mist Scene Images by Jianming Hu, Yangyu Wei, Wenbin Chen, Xiyang Zhi, Wei Zhang

“…To enhance object detection performance in adverse weather conditions, we propose a novel target detection method named CM-YOLO that integrates background suppression and semantic context mining, which can achieve accurate detection of targets under different cloud and mist conditions. …”
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Field Observations during the Eleventh Microwave Water and Energy Balance Experiment (MicroWEX-11): from April 25, 2012, through December 6, 2012 by Tara Bongiovanni, Pang-Wei Liu, Karthik Nagarajan, Daniel Preston, Patrick Rush, Tim H.M. van Emmerik, Robert Terwilleger, Alejandro Monsivais-Huertero, Jasmeet Judge, Susan Steele-Dunne, Roger De Roo, Ruzbeh Akbar, Ella Baar, Max Wallace, Anthony England

“… This new report from UF/IFAS researchers provides another set of observation data that can be used to develop better models for accurate prediction of weather and near-term climate. It describes the observations conducted during the MicroWEX-11, a season-long experiment incorporating active and passive microwave observations for bare soil, elephant grass, and sweet corn using a variety of sensors to understand land–atmosphere interactions and their effect on observed microwave signatures. …”
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Adapted Irrigation Pump Load in Solar PV and Wind Energy Systems through Stepped Variable Frequency Drives by Samson Soshyo, Sameer Kamrudin Bachani, Michael Juma Saulo, Lawrence Manyonge Mukhongo

“…It is also affected by aspects of weather mainly precipitation, temperature, and wind. …”
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Enhancing hydropower generation Predictions: A comprehensive study of XGBoost and Support Vector Regression models with advanced optimization techniques by Zhenya Qi, Yudong Feng, Shoufeng Wang, Chao Li

“…Accurate prediction of hydropower production is vital, considering its dependence on various factors like weather, water storage, and electricity generation. …”
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Prediction of Photovoltaic Power by ANN Based on Various Environmental Factors in India by B. Suresh Kumar, Jenifer Mahilraj, R. K. Chaurasia, Chitaranjan Dalai, A. H. Seikh, S. M. A. K. Mohammed, Ram Subbiah, Abdi Diriba

“…Extreme weather conditions, which affect photovoltaic output power, can have a major impact on electricity generated by PV systems. …”
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MIESTC: A Multivariable Spatio-Temporal Model for Accurate Short-Term Wind Speed Forecasting by Shaohan Li, Min Chen, Lu Yi, Qifeng Lu, Hao Yang

“…Wind speed forecasting is an essential part of weather prediction, with significant value in economics, business, and management. …”
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Skillful subseasonal ensemble predictions of heat wave onsets through better representation of land surface uncertainties by Qiyu Zhang, Mu Mu, Guodong Sun

“…Via six strong and long-lasting HW events over the middle and lower reaches of the Yangtze River (MLYR), HW onset ensemble forecast experiments were conducted with the Weather Research and Forecasting (WRF) model. The performance of the CNOP-P approach and the traditional random parameter perturbation ensemble prediction method was evaluated. …”
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Interpretable Machine Learning Approaches for Forecasting and Predicting Air Pollution: A Systematic Review by Anass Houdou, Imad El Badisy, Kenza Khomsi, Sammila Andrade Abdala, Fayez Abdulla, Houda Najmi, Majdouline Obtel, Lahcen Belyamani, Azeddine Ibrahimi, Mohamed Khalis

“…This can enhance prediction and prevention of adverse weather events and air pollution, benefiting public health.…”
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Modeling the Magnetic Connection from Earth to Solar Corona during the May 11 Geomagnetic Superstorm by Alessandro Ippolito, Tommaso Alberti, Fabio Giannattasio

“…The findings have significant implications for predicting space weather effects on Earth and other solar system bodies, contributing to the development of more accurate models for future space exploration missions. …”
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Food insecurity confrontation by pastoralist and agrarian communities in South Omo Zone, Ethiopia: a facility-based qualitative study by Mintesinot Melka Gujo, Lebitsi Maud Modiba

“…Tailored intervention is highly demanding to implement policies to stabilise food supply chains and mitigate food shortages in both agrarian and pastoralist areas, invest in modern agricultural technologies to boost productivity, encourage the adoption of climate-smart agricultural practices to help farmers adapt to changing weather patterns, optimise the productive use of available farmland, promote income-generating activities, and diversify livelihoods to alleviate income constraints and improve food security.…”
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Downscaling of ERA5 reanalysis land surface temperature based on attention mechanism and Google Earth Engine by Shiyu Li, Hong Wan, Qun Yu, Xinyuan Wang

“…The ERA5-Land LST dataset, developed and managed by the European Centre for Medium-Range Weather Forecasts (ECMWF), is extensively used for global or regional LST studies. …”
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Resistance of European plum to fungal diseases in the foothill zone of Adygea by V. V. Sherstobitov, M. A. Kolesova

“…Results and conclusions. Weather and climate conditions during the flowering, fruit growth and ripening periods of European plum affected the degree of damage inflicted by fungal diseases. …”
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Media Image of the Arctic: Towards Qualified Human Resources by Inga M. Zashikhina

“…The established media image of the Arctic includes characteristics related to the harsh weather conditions, the region’s resource endowment, its military potential, and environmental problems. …”
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Examining different approaches for short-term load demand forecasting in microgrid management: a case study of a university in Nigeria by Barnabas Iliya Gwaivangmin

“…Leveraging 6 years of historical load data from the Jos Electricity Distribution Company (JEDC) and weather data from the Nigerian Meteorological Agency (NIMET), the research demonstrated that both RG and ARIMA outperformed SVM, exhibiting lower Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) values. …”
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