A lightweight context-aware framework for toxic mushroom detection in complex ecological environments by Zhanchen Wei, Jiali Wang, Haohai You, Ruiqing Ji, Fude Wang, Lei Shi, Helong Yu

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Social networks and business investment in emerging urban centres in rural Tanzania by Stephen A. Nyaki, Marianne N. Larsen, Fredy T. Kilima, Yonas T. Bahta

“…Methods: Quantitative methods employing Gephi Geolayout and a bivariate probit model, supported by qualitative data, were used to examine spatiality and the influence of social networks on business investment decisions based on a random sample of 755 businesses. …”
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Punching shear capacity of RC flat slabs with steel and superelastic Ni-Ti shape memory shear reinforcement under repeated loads by Mohamed Selim, Khaled Fawzy, Hilal Abdel Kader Mahmoud, Khaled Fawzy Kotb, Mahmoud Zaghlal

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Breast Cancer MRI Classification Based on Fractional Entropy Image Enhancement and Deep Feature Extraction by Ali M. Hasan, Asaad F. Qasim, Hamid A. Jalab, Rabha W. Ibrahim

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Implications of Solar Radiation Modification on Rainfall and Temperature Patterns over Eastern Africa by Alex Nimusiima, Godwin Ayesiga, Ronald Ingula Odongo, Catherine Mulinde, Lawrence Aribo, Moses Ojara, Bob Alex Ogwang

“…However, G6sulfur shows some inconsistent results, with some models predicting increased temperatures under SRM compared to SSPs, especially for SSP245, while other models predict reduced temperatures in the same period.…”
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Improved estimation of forage nitrogen in alpine grassland by integrating Sentinel-2 and SIF data by Yongkang Zhang, Jinlong Gao, Dongmei Zhang, Tiangang Liang, Zhiwei Wang, Xuanfan Zhang, Zhanping Ma, Jinhuan Yang

“…Thus, integrating Sentinel-2 and SIF data presents a potential solution for precisely measuring spatial distribution of forage nitrogen in alpine grassland at the regional scale. …”
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Microenvironmental Heterogeneity Parallels Breast Cancer Progression: A Histology-Genomic Integration Analysis. by Rachael Natrajan, Heba Sailem, Faraz K Mardakheh, Mar Arias Garcia, Christopher J Tape, Mitch Dowsett, Chris Bakal, Yinyin Yuan

“…Limitations of this study include the number of cell types included in the model, that EDI has prognostic value only in grade 3 tumors, and that our spatial heterogeneity measure was dependent on spatial scale and tumor size.…”
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Mapping tuberculosis prevalence in Africa using a Bayesian geospatial analysis by Alemneh Mekuriaw Liyew, Eyob Alemayehu Gebreyohannes, Andre Python, Archie C. A. Clements, Beth Gilmour, Peter W. Gething, Punam Amratia, Kefyalew Addis Alene

“…Bayesian geostatistical modelling was used to predict TB prevalence across Africa, and results were aggregated to estimate number of TB cases at national and subnational levels. …”
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Polska Kronika Filmowa as a source for research on contemporary Polish architecture by Piotr Marciniak

“…It describes the new research options, including the ability to recreate original spatial phenomena, and also the contemporary techniques and technology as well as the educational dimension of the Polish Film Chronicle. …”
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Analysis of ecological environment quality heterogeneity across different landform types in Myanmar and its driving forces by Shuangfu Shi, Shuangyun Peng, Zhiqiang Lin, Ziyi Zhu, Dongling Ma, Yuanyuan Yin, Xiangmei Lu, Ting Li, Luping Gong

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Correlation Between Learning and Memory Impairment and Changes in Cerebral White Matter Nerve Fibers and Pericytes in Rats with Chronic Cerebral Ischemia by HUANG Jia, WANG Mengxue, NI Jinglei, LIANG Shengxiang, LIN Bingbing

“…ObjectiveTo analyze the correlation between the changes of learning and memory and the progressive degeneration of white matter nerve fibers and pericytes in the corpus callosum and hippocampus of rats with chronic cerebral ischemia, then to explore the mechanism of learning and memory impairment caused by chronic cerebral ischemia, and provide a possible predictive target for vascular cognitive impairment.MethodsA total of 24 SPF male SD rats were divided randomly into sham operation group, 28 days after operation group and 56 days after operation group, with eight rats in each group. …”
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Probabilistic Forecasting of Ground Magnetic Perturbation Spikes at Mid‐Latitude Stations by Michael Coughlan, Amy Keesee, Victor Pinto, Raman Mukundan, José Paulo Marchezi, Jeremiah Johnson, Hyunju Connor, Don Hampton

“…The models were also compared to a persistence model to ensure that the model using both datasets did not over‐rely on dB/dt values in making its predictions. …”
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Monitoring changes of forest height in California by Samuel Favrichon, Jake Lee, Yan Yang, Yan Yang, Ricardo Dalagnol, Ricardo Dalagnol, Fabien Wagner, Le Bienfaiteur Sagang, Le Bienfaiteur Sagang, Sassan Saatchi, Sassan Saatchi, Sassan Saatchi

“…Height showed distinct spatial variations across forest types offering quantitative and spatial information to evaluate forest conditions. …”
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Global estimate of mesopelagic mesozooplankton biomass by Yulia Egorova, Gabriel Reygondeau, William W. L. Cheung, Evgeny A. Pakhomov

“…The results showed that NPP and POC were important predictors of mesopelagic mesozooplankton biomass (MMB). Linear models incorporating these factors were statistically significant, explaining a moderate to high proportion of variance in the predicted MMB. …”
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Studying the Impact of LULC Correspondence Between Landsat 8 and Spot 7 Data on Land Surface Temperature Estimation by Yehia Miky

“…Information about land surface temperature (LST) plays a crucial role in environmental studies, as it provides essential data for understanding climate patterns, assessing ecosystem health, and predicting environmental changes. Understanding the relationship between land cover types and LST is crucial across all disciplines that deal with LST data. …”
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Taxon-Dependent Community Assembly of Bacteria and Protists in River Ecosystems: A Case Study from the Yujiang River by Yusen Li, Wenjian Chen, Yaoquan Han, Jianjun Lei, Bo Huang, Youjie Qin, Feng Lin, Caijin Li, Dapeng Wang, Lei Zhou

“…Understanding the processes that drive microbial community assembly is a fundamental question in ecology, with important implications for predicting community responses to environmental disturbances. …”
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Uncertainties in the effects of organic aerosol coatings on polycyclic aromatic hydrocarbon concentrations and their estimated health effects by S. Lou, S. Lou, S. Lou, M. Shrivastava, A. Albinet, S. Tomaz, S. Tomaz, D. Srivastava, D. Srivastava, O. Favez, H. Shen, A. Ding, A. Ding, A. Ding

“…<p>We used the CAM5 model to examine how different particle-bound polycyclic aromatic hydrocarbon (PAH) degradation approaches affect the spatial distribution of benzo(a)pyrene (BaP). …”
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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

“…The proposed dual-stage model utilized a hypertuned Random Forest Tree (RFT) to classify the subjects into PD and non-PD classes at Stage 1 and a hypertuned Ensemble Regressor (ER) to predict the severity of illness at Stage 2. …”
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Food outlet availability differs according to area socioeconomic status in Denmark by Kamille Almer Bernsdorf, Henrik Bøggild, Mette Aadahl, Ulla Toft

“…Results No statistically significant spatial patterning of food outlets across area SES was found in Model 1 and 2, however positive and strong significant odds were seen in part 1 of Model 3 for supermarkets, convenience stores and fast-food outlets. …”
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The Impact of Urban Labor Skill Structure on Industrial Evolution in China and Its Heterogeneity from the Perspective of Cross-Relatedness by Zhou Xiaoqi, Ao Rongjun, Chen Jing, Hou Chunguang

“…This dataset enables us to analyze the structural evolution of the spatial network of industry-occupation interactions. …”
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