Mapping hierarchical wetland characteristics by optical-SAR integration with collaborative spatial-spectral-temporal learning by Linwei Yue, Meiyue Wang, Chengpeng Huang, Qing Cheng, Qiangqiang Yuan, Huanfeng Shen

“…The evaluation results show that the overall accuracy of HiWet-DBNet reaches 88.51% and 88.61% in the dry and wet seasons, which is superior to the other solutions with only a single data source or insufficient fusion of multi-modal features. …”
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Impact of Different Sugar Syrups on the Development of the Fat Body in Worker Bees (<i>Apis mellifera macedonica</i>) by Svilen B. Lazarov, Petya M. Veleva, Atanas Z. Atanasov, Ivaylo S. Hristakov, Zlatko Puškadija

“…The results indicate significant seasonal variations in fat body development, with winter depletion and recovery influenced by supplemental feeding. …”
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Species diversity of saprophagous flies (Diptera) in hospital grounds of Tehran, Iran by Abbas Ali Mirzakhanlou, Mansoureh Shayeghi, Hassan Vatandoust, Arman Izadian, Zahra Karimi, Kamran Akbarzadeh

“…Temporal variations showed that C. vicina had different seasonal activity, with peaks in colder months, while Lucilia sericata Meigen, Chrysomya albiceps (Wiedemann), and dominant species of Sarcophagidae peaked in mid-summer. …”
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Research of characteristics of spatial and temporal variations of CH4 emission at the water-gas interface of the Inner Mongolia section of the Yellow River and its influencing fact... by Hongxia Bao, Yue Lang, Narentuya, Fang Liu, Liming Qi, Xiaoli Wang

“…Significant spatial differentiation of FCH4 and CCH4 is observed in the Inner Mongolia section of the Yellow River, with the highest CCH4 and FCH4 values recorded in Baotou (BT) and Wuhai (WH), respectively. On a seasonal scale, dissolved oxygen (DO) and water temperature (Tw) are the primary determinants affecting CH4 emissions. …”
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Study on influencing factors and prediction model of strength and compression index of sandy silt on bank under freeze–thaw cycles by Zhen Yang, Xianyou Mou, Hao Li, Honglan Ji, Yuxin Mao, Hongze Song

“…Abstract The Inner Mongolia section of the Yellow River is a seasonal frozen soil area, where the freeze–thaw effect can alter soil strength and compressibility, affecting bank stability. …”
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Developing a multivariate drought index to assess drought characteristics based on the SWAT-Copula method in the Poyang Lake basin, China by Liping Guo, Fusheng Chen, Bin Wang, De Li Liu, Xiulong Chen, Hongsheng Huang, Hua Bai, Kaitao Liao, Zhiming Xia, Keyu Xiang, Linchao Li, Taihui Zheng, Qiang Yu

“…However, the specific patterns of drought, particularly seasonal variations, remain poorly understood, making it crucial to investigate these dynamics for effective water management and resilience planning. …”
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Elevation-dependent shift of landslide activity in mountain permafrost regions of the Qilian Mountains by Jie Chen, Jing Zhang, Tong-Hua Wu, Lin Liu, Fan-Yu Zhang, Jun-Ming Hao, Ling-Cao Huang, Xiao-Dong Wu, Peng-Ling Wang, Zhuo-Xuan Xia, Xiao-Fan Zhu, Pei-Qing Lou

“…These findings highlight the critical role of elevation-dependent processes in influencing landslide dynamics under changing climatic conditions, particularly the transition from undisturbed permafrost to seasonally frozen ground at higher elevations. This study provides valuable insights for disaster prevention and mitigation in high-altitude regions, emphasizing the heightened risks posed by permafrost degradation under ongoing warmer and wetter climatic conditions.…”
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Data from Emergency Medical Service Activities: A Novel Approach to Monitoring COVID-19 and Other Infectious Diseases by Daniele del Re, Luigi Palla, Paolo Meridiani, Livia Soffi, Michele Tancredi Loiudice, Martina Antinozzi, Maria Sofia Cattaruzza

“…Results show that EMS data mirrored the time series of cases or deaths in Lombardy, with good agreement also being found with seasonal flu outbreaks. <b>Conclusions</b>: This novel approach, combined with a machine learning predictive approach, could be a powerful public health tool to signal the start of disease outbreaks and monitor the spread of infectious diseases.…”
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A process-based evaluation of biases in extratropical stratosphere–troposphere coupling in subseasonal forecast systems by C. I. Garfinkel, Z. D. Lawrence, Z. D. Lawrence, A. H. Butler, E. Dunn-Sigouin, E. Dunn-Sigouin, I. Statnaia, A. Y. Karpechko, G. Koren, M. Abalos, B. Ayarzagüena, D. Barriopedro, N. Calvo, A. de la Cámara, A. Charlton-Perez, J. Cohen, D. I. V. Domeisen, D. I. V. Domeisen, J. García-Serrano, N. P. Hindley, M. Jucker, H. Kim, R. W. Lee, S. H. Lee, M. Osman, M. Osman, F. M. Palmeiro, I. Polichtchouk, J. Rao, J. H. Richter, C. Schwartz, S.-W. Son, M. Taguchi, N. L. Tyrrell, C. J. Wright, R. W.-Y. Wu

“…<p>Two-way coupling between the stratosphere and troposphere is recognized as an important source of subseasonal-to-seasonal (S2S) predictability and can open windows of opportunity for improved forecasts. …”
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Declining suitability for conversion of drylands to paddy fields in Northeast China: Impact of future climate and socio-economic changes by Jiacheng Qian, Huafu Zhao, Xiaoxiao Wang, Tao Wang, Zhe Feng, Congjie Cao, Xiao Li, Aihui Zhang

“…The key drivers affecting the suitability of CDPF are elevation, slope, population count, total nitrogen, soil organic carbon content, and precipitation seasonality. The potential priority areas for the future CDPF range from 6,284.61 km2 to 37,006.02 km2. …”
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Advancing hydrological modeling through multivariate calibration of multi-layer soil moisture dynamics by Yan He, Huihui Mao, Chen Wang, Jinghao Hu, Sarawut Ninsawat, Xianfeng Song, Guifei Jing, Runkui Li, Mingyu Wang, Zheng Duan

“…In this subtropical humid basin, the M3 model effectively captured the pronounced fluctuations in soil moisture driven by frequent and intense precipitation events, as well as the seasonal variability between wet and dry periods. M3 also improved the accuracy of evapotranspiration simulations across all subbasins, while maintaining acceptable streamflow simulations at gauge stations. …”
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Global Ionospheric Scintillation Estimation Based on Phase Screen Modeling From One‐Dimensional Satellite Data by Yuhao Zheng, Chao Xiong, Luca Spogli, Rayan Iman, Lucilla Alfonsi

“…Scintillation from our model shows typical seasonal variations, with peaks during equinoxes at both high and low magnetic latitudes. …”
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Accumulation of sodium and manganese during litter decomposition of Qinghai spruce (Picea crassifolia) forest in China by Xinning Zhao, Fei Zang, Fangyuan Huang, Na Li, Chuanyan Zhao

“…These results illustrate the seasonal characteristics of litter element return and nutrient cycling during litter decomposition in typical coniferous forests in the Qilian Mountains and could provide basic data and theoretical basis for ecological protection in the Qilian Mountains.…”
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Influence of Regional Pollution Outflow on Particle Number Concentration and Particle Size in Airshed of Guangzhou, South China by Hing Cho Cheung, Chengyu Nie, Mintao Huang, Tingting Yang, Hao Wang, Celine Siu Lan Lee, Chenglei Pei, Jun Zhao, Baoling Liang

“…The PNC in the region was influenced by monsoon and the land–sea breeze systems. During monsoon seasons, PM pollution occurred at a regional scale affecting the urban and suburban areas as indicated by the high PNC correlation (r value = 0.70), but the PNCs were lower than that during land-sea breeze period (with lower PNCM1/PNCLSB1 and PNCM2/PNCLSB2 ratios) due to the higher atmospheric dispersion. …”
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Camel tick species distribution in Saudi Arabia and United Arab Emirates using MaxEnt modelling by Nighat Perveen, Sabir B. Muzaffar, Areej Jaradat, Olivier A. Sparagano, Arve L. Willingham, Ala Tabor

“…Several variables including land use/land cover (LULC) (53.1%), precipitation of coldest quarter (Bio19) (21.8%), elevation (20.6%), isothermality (Bio3) (1.9%), mean diurnal range [mean of monthly (max temp – min temp)] (Bio2) (1.8%), slope (0.5%), precipitation, seasonality (Bio15) (0.2%) influenced habitat suitability of ticks, predicting high tick density or abundance. …”
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Improved estimation of carbon dioxide and methane using machine learning with satellite observations over the Arabian Peninsula by Mariam Alcibahy, Fahim Abdul Gafoor, Farhan Mustafa, Mutasem El Fadel, Hamed Al Hashemi, Ali Al Hammadi, Maryam R. Al Shehhi

“…The model is trained and validated against these datasets, achieving high performance for XCO2 (R2 = 0.98, RMSE = 0.58 ppm) and moderate accuracy for XCH4 (R2 = 0.63, RMSE = 13.26 ppb). Seasonal cycles and long-term trends were identified, with higher concentrations observed in summer, and emission hotspots in urban and industrial areas. …”
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Carbon injection potential of the mesopelagic-migrant pump in the Southern Ocean during summer by Katherine Baker, Katherine Baker, Svenja Halfter, Svenja Halfter, Ben Scoulding, Kerrie M. Swadling, Kerrie M. Swadling, Shane A. Richards, Matthieu Bressac, Matthieu Bressac, Caroline A. Sutton, Philip W. Boyd, Philip W. Boyd

“…Results from this summertime study suggest an increase in the relative importance of the MMP compared to the BGP south of the Polar Front, however, future work should target the seasonality of the MMP, which necessitates linking environmental drivers to micronekton and mesozooplankton community composition, life history, and DVM.…”
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Analysis and Water Quality Control of Alternative Sources in Bangolan, Northwest Cameroon by Nchofua Festus Biosengazeh, Njoyim Estella Buleng Tamungang, Mofor Nelson Alakeh, Mvondo-ze Antoine david

“…Major ions analysed fell within the WHO guideline values except iron and aluminium, whose values fell above guideline values in both seasons due to the nature of the soils. Faecal coliforms were found in all the sources, and specific bacteria identified were Escherichia coli, Enterobacteria, Streptococcus, Salmonella, and Shigella spp., suggesting recent contamination by faecal matter due to poor hygienic conditions, and hence, treatment was recommended. …”
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A New Frontier in Ionospheric Observations: GPS Total Electron Content Measurements From Ocean Buoys by Irfan Azeem, Geoff Crowley, Victoriya V. Forsythe, Adam S. Reynolds, Erik M. Stromberg, Gordon R. Wilson, Craig A. Kohler

“…The observed TEC exhibits a clear seasonal dependence characterized by equinoctial maxima in the data at both locations. …”
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Efficiency analysis and performance modelling of a photovoltaic system for cruise ship cabins with battery storage using direct current distribution networks by Patrick Schwager, Laura Tiede, Thomas Scholz, Kai Gehrke, Martin Vehse

“…To this end, two representative cruises in different geographical locations and seasons are considered, one in the Caribbean (March 2016) and one along the Norwegian coast (Aug-Sep 2016). …”
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