Population genetic structure and connectivity of the seagrass Thalassia hemprichii in the Western Indian Ocean is influenced by predominant ocean currents by Marlene Jahnke, Martin Gullström, Josefine Larsson, Maria E. Asplund, Said Mgeleka, Mathew Ogalo Silas, Arielle Hoamby, Jamal Mahafina, Lina Mtwana Nordlund

“…We used Bayesian clustering approaches (TESS) to trace spatial ancestry of populations and used directional migration rates (DivMigrate) to identify sources of gene flow. …”
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Gis Based SCS - CN Method For Estimating Runoff In Kundahpalam Watershed, Nilgries District, Tamilnadu by Viji Raja

“…The selection of curve number is based on the land use pattern and HSG (Hydrological Soil Group) present in the study area. Since the spatial distribution of CN estimation by the conventional way is very difficult and time consuming, the GIS (Geographic Information System) based CN method is generated for Kundapallam watershed. …”
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Weed detection based on deep learning from UAV imagery: A review by Lucía Sandoval-Pillajo, Iván García-Santillán, Marco Pusdá-Chulde, Adriana Giret

“…However, these face a significant challenge due to the morphological similarities between weeds and crops, such as color, shape, and texture, which makes their practical and effective differentiation and implementation difficult. This paper presents a systematic literature review (SLR) based on 77 recent and relevant studies on weed detection and classification in UAV imagery using DL architectures. …”
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Synchronous Measurement Method of Two-phase Flow Phase Field and Concentration Field Based on Wire-mesh Sensor by XIA Xinyu1, 2, YAN Xu2, 3, FU Junsen2, 3, XIAO Yao1, 2, 3, , GU Hanyang2, 3

“…The wire-mesh sensor can measure the flow channel cross-section with high spatial and temporal resolutions. At present, the fine measurement of single-phase mixing based on the wire-mesh sensor combined with the mass balance method has been relatively mature, but it lacks the method of measuring concentration field in the two-phase intersection mixing. …”

Klasifikasi Teks Hadis Bukhari Terjemahan Indonesia Menggunakan Recurrent Convolutional Neural Network (CRNN) by Muhammad Yuslan Abu Bakar, Adiwijaya Adiwijaya

“…Convolutional Neural Network was chosen as a method of selecting and reducing data that can be determined as spatial information that is interrelated and correlated. …”
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UAV-StrawFire: A visible and infrared dataset for real-time straw-fire monitoring with deep learning and image fusion by Xikun Hu, Ya Jiang, Xiaoyan Xia, Chen Chen, Wenlin Liu, Pengcheng Wan, Kangcheng Bin, Ping Zhong

“…This paper presents the UAV-StrawFire dataset, which comprises RGB images, thermal infrared images, and videos captured during controlled straw residue burning experiments in southern China using drones. …”
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Learning from wildfires: A scalable framework to evaluate treatment effects on burn severity by Caden P. Chamberlain, Garrett W. Meigs, Derek J. Churchill, Jonathan T. Kane, Astrid Sanna, James S. Begley, Susan J. Prichard, Maureen C. Kennedy, Craig Bienz, Ryan D. Haugo, Annie C. Smith, Van R. Kane, C. Alina Cansler

“…Our framework used (1) machine learning to identify key bioclimatic, topographic, and fire weather drivers of burn severity in each fire, (2) standardized workflows to statistically sample untreated control units, and (3) spatial regression modeling to evaluate the effects of treatment type and time since treatment on burn severity. …”
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Vegetation Monitoring of Palm Trees in an Oasis Environment (Boudenib, Morocco) Using Automatic Processing of Medium-Resolution Remotely Sensed Data by Kaoutar Badioui, Ann Van Griensven, Boud Verbeiren

“…The Normalized Differential Vegetation Index (NDVI) derived from optical images provides a good estimation of changes in vegetation cover over time. Images of various spatial resolutions (100 m, 300 m and 1 km) obtained with the frequently revisiting Belgian satellite PROBA-V and available since 2014, can be successfully used for deriving time series of vegetation dynamics. …”
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<i>Weizmannia coagulans</i> BC99 Improve Cognitive Impairment Induced by Chronic Sleep Deprivation via Inhibiting the Brain and Intestine’s <i>NLRP3</i> Inflammasome by Qiaoqiao Sun, Jiajia Fan, Lina Zhao, Zhen Qu, Yao Dong, Ying Wu, Shaobin Gu

“…BC99 improved cognitive abnormalities in novel object recognition tests induced by chronic sleep deprivation and showed behavior related to spatial memory in the Morris water maze test. <i>W. coagulans</i> BC99 reduced the heart mass index of sleep-deprived mice, increased the sleep-related neurotransmitters 5-HT and DA, decreased corticosterone and norepinephrine, and increased alpha diversity and community similarity. …”
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Carbon Financial Markets Underlying Climate Change Mitigation, Pricing and Challenges: Technical Analysis by Adil El Amri, Salah Oulfarsi, Rachid Boutti, Abdelhak Sahib Eddine, Aziz Hmioui

“…Second, we introduce the main characteristics of emissions trading, be it in terms of spatial and temporal limits, Clean Dark Spread, Clean Spark Spread and Switch Price. …”
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Comparative Analysis of CNNs and Vision Transformers for Automatic Classification of Abandonment in Douro’s Vineyard Parcels by Danilo Leite, Igor Teixeira, Raul Morais, Joaquim J. Sousa, Antonio Cunha

“…In this study, a new dataset was expanded to 137,000 images collected between 2018 and 2023, filling critical gaps in the previous datasets by including greater temporal and spatial diversity. Subsequently, a careful evaluation was carried out with various DL models. …”
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The Uses and Experiences of Synchronous Communication Technology for Home-Dwelling Older Adults in a Home Care Services Context: Qualitative Systematic Review by Martin Vinther Bavngaard, Anne Lund, Björg Thordardottir, Erik Børve Rasmussen

“…ResultsThe first theme presented the multiple trajectories that older users’ technology acceptance could take, namely straightforward, gradual, partial, and resistance laden, notwithstanding outright rejection. …”
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The sand-controlling and reservoir-controlling characteristics and exploration potential of the steep slope zone in the Huanghua Depression, Bohai Bay Basin, eastern China by Haitao Liu, Yan Chen, Yan Chen, Jufeng Wang, Deqiang Sun, Zijun Tang, Chunming Zhang, Fengcheng Wu, Zhenglong Jiang

“…The activities of boundary faults not only control the spatial structure of the basin but also affect the material source supply, paleogeomorphic morphology and the changes in the accommodation space within the basin. …”
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Multi-century mean summer temperature variations in the Southern Rhaetian Alps reconstructed from <i>Larix decidua</i> blue intensity data by R. Cerrato, M. C. Salvatore, M. C. Salvatore, M. Brunetti, A. Somma, C. Baroni, C. Baroni

“…Moreover, the correlation values between the BI data and June–August mean temperature are stable over time, ranging between 0.40 and 0.71 (mean value of 0.57), considering a moving window of 50 years, and at spatial scale, with significant values over the western and central Mediterranean areas returned for all the considered time windows. …”
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SSMR-Net and Across Feature Mapping Attention are jointly applied to the UAV imagery semantic segmentation task of weeds in early-stage wheat fields by Xinyu Mei, Changchun Li, Yinghua Jiao, Guangsheng Zhang, Longfei Zhou, Xifang Wu, Taiyi Cai

“…SSMR-Net incorporated a multiscale feature structure by connecting the encoder and decoder with an Atrous Spatial Pyramid Pooling (ASPP) module with a small expansion rate, preserving the small target features during the information transfer and facilitating the multiscale feature extraction of weeds. …”
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High-quality development of metropolitan regions and its driving factors: A case study of the Xuzhou Metropolitan Region by ZHU Huxiao, OU Xiangjun, YANG Zhen, TANG Shuangshuang, XIAO Weidong

“…However, there were uncoordinated growth rates among these three aspects. The spatial patterns of economic and social development quality exhibited an obvious core-periphery structure, while the eco-environmental quality showed the opposite pattern. (2) The radiation connection from the central city to the metropolitan region presented a radial network structure. …”
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Lightweight Deep Learning Model, ConvNeXt-U: An Improved U-Net Network for Extracting Cropland in Complex Landscapes from Gaofen-2 Images by Shukuan Liu, Shi Cao, Xia Lu, Jiqing Peng, Lina Ping, Xiang Fan, Feiyu Teng, Xiangnan Liu

“…However, extracting fragmented cropland presents significant challenges due to its irregular and blurred boundaries, as well as the diversity in crop types and distribution. …”
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Sedimentation model of the middle Devonian clastic succession of the South Tatar Arch, Pashyian Regional stage, Volga-Ural Oil and Gas Province, Russia by V. V. Silantiev, M. F. Validov, D. N. Miftakhutdinova, V. P. Morozov, B. G. Ganiev, A. A. Lutfullin, K. D. Shumatbaev, R. M. Khabipov, N. G. Nurgalieva, Z. A. Tolokonnikova, E. A. Korolev, V. A. Sudakov, A. V. Smirnova, K. A. Golod, A. A. Leontiev, R. R. Shamsiev, M. V. Noykin, V. E. Kosarev, D. A. Nikonorova, R. F. Akhmetov

“…The Pashyian Regional stage (horizon) is the main productive unit of the middle Devonian clastic succession of the South Tatar arch. This article presents, for the first time, maps of the lower and upper parts of the Pashyian, including data on sand-shale ratio, number of sand layers (reservoirs) and thickness, based on the analysis of logging data from 25,000 wells. …”
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Post-War Air Quality Index in Mosul City, Iraq: Does War Still Have an Impact on Air Quality Today? by Zena Altahaan, Daniel Dobslaw

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Population Shrinkage and Spatio-Temporal Changes in Cultivated Land Use Efficiency in China’s Agro-Pastoral Ecotone by Lu Chen, Ning Zhao, Zhixun Zhang, Yun Zhang, Wenjie Zuo, Youshuo Wang, Bin Wu, Monika Stanny, Yuheng Li, Guoming Du

“…In this paper, using the stochastic frontier production function and a Tobit regression model, we reveal the current situation of rural population shrinkage in the agro-pastoral ecotone in northern China and the spatial and temporal evolution characteristics of cultivated land use efficiency, and identify influencing factors based on the perspective of “human–land”. …”
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