Evaluating ecological impacts through geospatial analysis of land use land cover dynamics in Jarmet wetland ecosystems in Western Ethiopia by Amanuel Kumsa Bojer, Ayad M. Fadhil Al-Quraishi, Saralees Nadarajah

“…The analysis indicates a substantial 45.9% increase in agricultural areas and a 4.1% rise in built-up and plantation areas, signifying habitat degradation and altered hydrological patterns resulting from drainage and land use changes. …”
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Modelling hair follicle growth dynamics as an excitable medium. by Philip J Murray, Philip K Maini, Maksim V Plikus, Cheng-Ming Chuong, Ruth E Baker

“…However, although there are numerous spatial scales of observation (molecular, cellular, follicle and multi follicle), it is not yet clear what mechanisms underpin the follicle growth cycle. …”
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Modeling Purposes of Public Transportation Trips for Human Need-Responsive Urban Mobility Efficiency by Lan Zhang, Kaijian Liu

“…Building upon the validation, this paper further implemented and demonstrated the proposed method in modeling and analyzing shifts in PT trip purposes during the COVID-19 pandemic in New York City. Temporal-spatial analysis revealed distinct patterns in the trip purpose shifts across time and space.…”
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Artificial intelligence-driven precipitation downscaling and projections over Thailand using CMIP6 climate models by Muhammad Waqas, Usa Wannasingha Humphries

“…Using the MPI-ESM1-2-LR and CAMS-CSM1-0 GCM outputs, DyNN-Mem showed better spatial and temporal characteristics of precipitation, translating into better capturing the precipitation’s spatial and temporal characteristics. …”
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Exploring land cover dynamics: open mining activities footprint in Central Bangka District, Indonesia by Dudy Gilang Winata, Budi Mulyanto, Dyah Tjahyandari Suryaningtyas

“…Land cover changes resulting from mining activities in Central Bangka District have often led to environmental degradation, significant challenges for local communities, and disruptions to spatial utilization. This study aims to identify land cover change patterns within the tin mining business license (IUP) area from 2014 to 2022 and evaluate their impacts on ecosystems and land use. …”
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A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images by M. Pradeepa, B. Sharmila, M. Nirmala

“…However, existing diagnostic models often struggle to extract complex patterns from high-resolution tissue images, limiting their diagnostic accuracy and generalization. …”
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Air quality prediction using stacked bi- long short-term memory and convolutional neural network in India by S Karkuzhali, Thendral Puyalnithi, R Nirmalan

“…The study aims to offer valuable insights into the temporal and spatial patterns of air quality in India, thereby aiding environmental policymakers, urban planners, and researchers in formulating effective strategies for air quality management. …”
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A Systematic Review of the Bibliometrics and Methodological Research Used on Studies Focused on School Neighborhood Built Environment and the Physical Health of Children and Adoles... by Iris Díaz-Carrasco, Sergio Campos-Sánchez, Ana Queralt, Palma Chillón

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Native and non-native winter foraging resources do not explain Pteropus alecto winter roost occupancy in Queensland, Australia by Kelsee Baranowski, Nita Bharti

“…We find that neither the extent nor the spatial distribution of winter habitats explained black flying fox winter roost presence. …”
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Evaluating the Accuracy of Land-Use Change Models for Predicting Vegetation Loss Across Brazilian Biomes by Macleidi Varnier, Eliseu José Weber

“…Baseline models use clear change logics, such as proximity or distance from spatial objects. While machine-learning-based models use computational methods and spatial variables to identify patterns that explain the occurrence of changes. …”
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Mapping women's work in India: An application of small area estimation. by Swati Srivastava, Kaushalendra Kumar, Lotus McDougal, Ashish Kumar Upadhyay, Katherine Hay, Abhishek Singh

“…<h4>Background</h4>Understanding variations in women's work participation at lower administrative levels, such as districts, is a missing link in identifying trends, patterns and variation that can offer insights into this long-term stagnation. …”
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Motor imagery EEG signal classification using novel deep learning algorithm by Sathish Mathiyazhagan, M. S. Geetha Devasena

“…In addition to that, continuous wavelet transform (CWT) is used for multi-resolution analysis. For spatial feature enhancement the proposed approach utilizes source power coherence (SPoC) integrated with common spatial patterns (CSP) for robust feature extraction. …”
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Spatiotemporal influence analysis model for cultural landscapes based on a virtual geographic environment by Xiangfei She, Xin Pan, Jian Zhao

“…Abstract A cultural landscape can have a lasting impact on the surrounding region, significantly influencing its culture, customs, and development patterns. It is therefore important to understand the spatiotemporal influence range of a particular cultural landscape. …”
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Integration of geospatial techniques and machine learning in land parcel prediction by Nekkanti Haripavan, Subhashish Dey, Chimakurthi Harika Mani Chandana

“…By harnessing the temporal and spectral information captured by Earth observation satellites, we aim to identify patterns and trends in land parcel changes. These insights are used to train and fine-tune our machine learning models, which will subsequently forecast future land parcel developments. …”
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Predicting forest carbon storage and identifying hotspot in the Loess Plateau under future climate change–supporting China's dual carbon strategy by Haihong Qiu, Hairong Han, Xiaoqin Cheng, Fengfeng Kang

“…Specifically, under SSP126 and SSP370 scenarios, carbon storage manifested diffused spatial patterns, whereas the SSP585 scenario predicted a northeastward displacement of 131.62 Tg C in forest carbon storage. …”
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Influence of High-Density Community Spaces on the Walking Activity of Older Adults: A Case Study of Macau Peninsula by Xiangyu Chen, Ning Wang, Hua Tang

“…In Phase I, questionnaire surveys combined with SPSS 26.0-based cluster analysis are employed to (1) stratify older adults according to walking behavior patterns; (2) identify subgroup-specific needs and (3) establish key demographic correlates. …”
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Dispersal and colonization success of ground beetles (Coleoptera, Carabidae) on the Solovetsky Islands (the largest archipelago of the White Sea) by Natalia A. Zubrii, Boris Yu. Filippov, Ivan N. Bolotov

“…In this study, we analyzed the patterns of dispersal and colonization of ground beetles on the Solovetsky Islands. …”
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Spatiotemporal variation and driving forces of carbon storage in the Fuhe river basin, China by Ziwei Chen, Kai Wei, Longsong Hu, Caiqiong Yi, Shiyu Liu

“…This study integrated the advantages of the PLUS model, the InVEST model, and the optimal parameter-based geographic detector (OPGD) models to analyze the spatiotemporal variation in land use patterns and carbon storage in the Fuhe River Basin under three scenarios in 2030, and analyze the driving forces of the spatial differentiation of carbon storage. …”
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Decoding PM_2.5 Prediction in Nanning Urban Area, China: Unraveling Model Superiorities and Drawbacks Through SARIMA, Prophet, and LightGBM by Minru Chen, Binglin Liu, Mingzhi Liang, Nini Yao

“…The SARIMA model is based on time series prediction theory and performs well in some scenarios, but has limitations in dealing with non-stationary data and spatial heterogeneity. Our research provides a multi-dimensional model performance reference for subsequent PM_2.5 concentration predictions, helps researchers select models reasonably according to different scenarios and needs, provides new ideas for analyzing concentration change patterns, and promotes the development of related research in the field of environmental science.…”
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Understanding Multi‐Scale and Multi‐Species Habitat Selection by Mammals in the Eastern Himalayan Biodiversity Hotspot by Arif Ahmad, Govindan Veeraswami Gopi

“…Species distributions showed distinct patterns, with most carnivores concentrated in the south, except for the widely distributed yellow‐throated marten. …”
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