Study of forecasting urban private car volumes based on multi-source heterogeneous data fusion by Chenxi LIU, Dong WANG, Huiling CHEN, Renfa LI

“…By effectively capturing the spatio-temporal characteristics of urban private car travel, a multi-source heterogeneous data fusion model for private car volume prediction was proposed.Firstly, private car trajectory and area-of-interest data were integrated.Secondly, the spatio-temporal correlations between private car travel and urban areas were modeled through multi-view spatio-temporal graphs, the multi-graph convolution-attention network (MGC-AN) was proposed to extract the spatio-temporal characteristics of private car travel.Finally, the spatio-temporal characteristics and external characteristics such as weather were integrated for joint prediction.Experiments were conducted on real datasets, which were collected in Changsha and Shenzhen.The experimental results show that, compared with the existing prediction model, the root mean square error of the MGC-AN is reduced 11.3%～20.3%, and the average absolute percentage error is reduced 10.8%～36.1%.…”
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Single and Multiwavelength Detection of Coronal Dimming and Coronal Wave Using Faster R-CNN by Zongxia Xie, Chunyang Ji

“…The CD and CW are not only related to the detection of coronal mass ejections (CMEs) but also affect space weather. In this paper, we have studied methods for automatically detecting them. …”
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Influence of school environment in the teaching and learning of physical education by Muhamad Zahıdı, Rahmad Samad, Syed Kamaruzaman Bin Syed Alı

“…While, the statement that implied unpredictable weather condition during Physical Education showed the lowest mean value of M=4.17, SD=1.109. …”
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The climate-economic model of 27 EU countries at the NUTS 3 level by Daniela Hadačová, Dominika Jusková, Lenka Maličká, Jana Vancová

“…In addition to the analysis provided at the NUTS 3 level, the paper’s uniqueness also lies in focusing on temperature variations using the Cooling index, a weather-based technical measure designed to describe the need for air cooling (or air conditioning). …”
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RESEARCHING ECOLOGICAL VARIABILITY OF AGRONOMIC TRAITS IN POTATO VARIETIES WHEN THEY ARE INTRODUCED INTO SEVERE ENVIRONMENTS OF THE ALTAI MOUNTAINS by T. A. Streltsova, A. A. Opleukhin, N. A. Okasheva

“…They made it possible to identify varieties most suitable for cultivation in the areas of testing, with high levels of productivity and stable manifestation of this trait under different weather conditions. The analysis was based on the methods suitable for assessing the interaction between factors and all the traits, with consequent evaluation of variations in individual traits under different environmental factors.…”
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Strawberries: Main Pests and Beneficials in Florida by Silvia I. Rondon, James F. Price, Daniel J. Cantliffe

“…The sunshine state leads the southeastern U.S. in strawberry production and ranks second to California nationwide. The mild weather of Florida's fall and winter seasons sustain the nation's second largest strawberry production. …”
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The Necessary Modification of the Regional Development Methods Regarding to Climate Change Along the Nile River by Somaya Aboelnaga

“…Although they contributed to anthropogenic emission slightly, African continent is one of the highly vulnerable to impacts of long-term climate variability and extreme weather events, especially on the Nile. Moreover, developing countries are the most vulnerable to climate change impacts because they have fewer resources to adapt: socially, technologically and financially. …”
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Machine Learning-Based Modeling of Celeration for Predicting Red-Light Violations by Mahmoud Masoud

“…The study is based on a thorough analysis of a large dataset that includes a variety of parameters, such as exceeding speed limits, driver age, passenger count, weather, road condition, and temporal factors. Using cutting-edge machine learning methods like AdaBoost and Bagging, predictive models for red-light violations are painstakingly built, achieving remarkable validation accuracies of 90.4% and 90.1%, respectively. …”
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Privatized Futures, Climate Control, and Resistance in Recent Scottish Dystopian Fiction by Peter Clandfield

“…The essay shows how these novels also anticipate recent critical perspectives on climate change and dystopia, particularly Amitav Ghosh’s call (2016) for fiction that confronts the potentially intractable effects of global weather events, and Tom Moylan’s advocacy (2020) of works that resist presenting dystopian spectacles for passive consumption and instead call upon readers for active, constructive interpretation.…”
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An improved YOLOv4 algorithm for pedestrian detection in complex visual scenes by Shuai KANG, Jianwu ZHANG, Zunjie ZHU, Guofeng TONG

“…At present, the difficulty of pedestrian detection has been dramatically increased because of some problems, such as the dark or exposed illumination, bad weather, serious occlusion, large difference size of pedestrians and blurred images in complex visual scenes.Therefore, an improved YOLOv4 algorithm was proposed, which improved the detection performance of pedestrian detection in complex visual scenes, aiming at the problems of low accuracy and highly missed detection rate.Firstly, the self-annotation data set pedetrian were constructed.Secondly, the hybrid dilated convolution (HDC) was added into the backbone network to improve the ability of pedestrian feature extraction.Finally, in order to obtain more detailed feature, the spatial jagged dilated convolution (SJDC) structure was proposed to replace the spatial pyramid pooling structure.The experimental results show that the average precision (AP) of the proposed algorithm can achieve 90.08%.The proposed algorithm can substantially improve AP by 7.2%, and the log-average miss rate (LAMR) reduce by 13.69% compared with the original YOLOv4 algorithm.…”
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Dynamics of vegetation in Karun watershed within Khuzestan province in relation with Temperature factors and precipitation by Saman alimoradi, Asadollah : khoorani, Yahya esmaeilpoor

“…Also air temperature and precipitation were interpolated for selected weather stations using IDW method. Spatial correlation outcomes (on 0.05) between NDVI with LST and air temperature show a reversed relation. …”
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The complementary Role of Indigenous Knowledge Systems in Landslide Disaster Management in Kanungu District, Uganda by Turyasingura, Benson, Ayiga, Natal, Benzougagh, Brahim, Kader, Shuraik, Kumar, Singh Sudhir, Nuwe, John BOSCO, Gweyi-Onyango, Joseph P., Bojago, Elias

“…Factors such as farm size, credit availability, social group membership, access to extension services, farming experience, accessibility of weather and climatic information, and perception of climatic changes influenced the adoption of IKS, both positively and negatively. …”
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Prompt Penetration Electric Fields and Ionospheric Effects of Major Geomagnetic Storms on Low Latitude Stations. by Talemwa, Gorretti

“…Findings contributed to understanding how geomagnetic disturbances influence ionospheric behavior, with implications for space weather prediction and the mitigation of disruptions to communication and navigation systems.…”
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Suitable Sowing Date Method of Winter Wheat at the County Level Based on ECMWF Long-Term Reanalysis Data by LIU Ruixuan, ZHANG Fangzhao, ZHANG Jibo, LI Zhenhai, YANG Juntao

“…In extreme weather conditions, it was limited to determine the sowing date only by temperature or GDD. …”
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Impact of secondary ice production on thunderstorm electrification under different aerosol conditions by S. Huang, J. Yang, J. Yang, J. Li, Q. Chen, Q. Zhang, F. Guo

“…In this study, using the Weather Research and Forecasting (WRF) model, we investigate the role of four different SIP processes in charge separation with different aerosol concentrations, including the rime splintering (RS), the ice–ice collisional (IC) breakup, shattering of freezing drops (SD), and sublimational breakup (SK). …”
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The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) by M. Buehner, J.-F. Caron, E. Lapalme, A. Caya, P. Du, Y. Rochon, S. Skachko, M. Bani Shahabadi, S. Heilliette, M. Deshaies-Jacques, W. Chang, M. Sitwell

“…MIDAS is developed at Environment and Climate Change Canada for both operational and research applications, including all atmospheric data assimilation (DA) elements of the Canadian operational numerical weather prediction systems. The described version of MIDAS is part of the Canadian prediction systems that became operational in June 2024. …”
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Positive associations between mean ambient temperature and involuntary admissions to psychiatric facilities by Noah L. Joore, Marte Z. van der Horst, Eric O. Noorthoorn, Jurriaan F.M. Strous, Fleur J. Vruwink, Sinan Guloksuz, Peter C. Siegmund, Jurjen J. Luykx

“…Methods Involuntary admissions data from 23 psychiatric institutions in the Netherlands were linked to meteorological data from their respective weather stations. Generalized additive models were used, integrating a restricted maximum likelihood method and thin plate regression splines to preserve generalizability and minimize the risk of overfitting. …”
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Pengukuran Performa Apache Spark dengan Library H2O Menggunakan Benchmark Hibench Berbasis Cloud Computing by Aminudin Aminudin, Eko Budi Cahyono

“…Based on the results of testing Apache Spark in a cloud computing environment, Apache Spark is able to process weather data obtained from the largest weather data archive, namely NCDC data with data sizes up to 6GB. …”
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The Effects of Anthropogenic Heat Release on Urban Meteorology and Implication for Haze Pollution in the Beijing-Tianjin-Hebei Region by Ruiting Liu, Zhiwei Han

“…In this study, the effect of anthropogenic heat release (AHR) on meteorological variables and atmospheric diffusion capability and implication for haze pollution in the Beijing-Tianjin-Hebei region in January 2013 were investigated by using Weather Research and Forecasting (WRF) model with an urban canopy model (UCM) and an AHR scheme. …”
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Study on a Mid-Temperature Trough Solar Collector with Multisurface Concentration by Zhengliang Li, Mingxian Chen, Husheng Meng, Zehui Chang, Hongfei Zheng

“…The trough solar concentrators were tested under real weather conditions. The experiment results indicate that, the new solar concentrator was validated to have relative good collecting efficiency, which can be more than 45 percent when it operated in more 145°C. …”
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