Integrative pan-cancer analysis and experiment validation identified GLS as a biomarker in tumor progression, prognosis, immune microenvironment, and immunotherapy by Dongming Li, Donghui Cao, Yangyu Zhang, Xinyi Yu, Yanhua Wu, Zhifang Jia, Jing Jiang, Xueyuan Cao

“…Single-cell analysis found GLS was closely related to various biological functions and pathways. Spatial transcriptomic analysis found GLS expression was mainly derived from tumor cells, which implies tumor cells may have a stronger ability to utilize glutamine than antitumor immune cells in the tumor microenvironment (TME). …”
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Time-lag effects of NEP and NPP to meteorological factors in the source regions of the Yangtze and Yellow Rivers by Hengshuo Zhang, Xizhi Lv, Yongxin Ni, Qiufen Zhang, Jianwei Wang, Li Ma

“…These lags can vary considerably due to the spatial heterogeneity of vegetation and ecosystems. …”
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SPATIO-TEMPORAL CHANGE DETECTION OF URBAN GREEN SPACE AS A RESULT OF REAL ESTATE IN GREATER ACCRA REGION by Stephen Smith Ofori

“…Greater Accra due to numerous anthropogenic activities conducted to uplift the region's physical developments has lost a significant amount of its vegetation, especially with the influx of lucrative real estate. …”
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Geospatial digital mapping of soil organic carbon using machine learning and geostatistical methods in different land uses by Yahya Parvizi, Shahrokh Fatehi

“…Abstract Improper management of soil resources leads to the destruction of soil organic carbon (SOC) stock and, as a result, the reduction of soil quality, as well as accelerating the process of climate change through the release of SOC into the atmosphere. This study was conducted to evaluate potential of different simulation models to map the spatial variability of SOC as affected by land use in a study area in Qarasu watershed in Kermanshah province, west of Iran. …”
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Recognition of Geometrical and Proportional Principles in Open and Semi-Open Spaces of Hot and Humid Climate (Case Study: Historical Houses of Bushehr) by Neda Naseri, Jamshid Davtalab, Faramarz Hassan Pour, Abolfazl Heidari, Zohreh Oveisi Keikha

“…Several factors are influential in applying a certain type of spatial proportions. Climate and ecology are the most important ones. …”
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INTRA-REGIONAL DIFFERENTIATION IN THE ENVIRONMENTAL DIMENSION OF MUNICIPALITIES OF ŚWIĘTOKRZYSKIE VOIVODESHIP IN TERMS OF DEMOGRAPHIC CHANGES IN 2010 AND 2020 by Paweł Dziekański, Markéta Šimková, Halyna Kraichynska

“…The analysis was conducted at the municipal level, encompassing 102 municipalities within the province of Świętokrzyskie. …”
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Impacts of Sedimentation and Diagenesis on Deeply Buried Reservoir Quality of a Rift Basin: A Case Study of Wenchang Formation in the Lufeng Depression, Pearl River Mouth Basin, Ch... by Panke Sun, Shiyi Jiang, Lin Zhang, Langbo Jia, Huawen Rao, Huijing Fang, Zhen Yi, Taihong He, Sicheng Zhu, Liyin Bao

“…The subaqueous distributary channel and mouth bar reservoirs in LST are adjacent to Ew4 source rock in spatial distribution, resulting in strong organic acid dissolution, and developed numerous dissolved pores. …”
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End-to-end multiple object tracking in high-resolution optical sensors of drones with transformer models by Yubin Yuan, Yiquan Wu, Langyue Zhao, Yuqi Liu, Yaxuan Pang

“…This technique assigns labels based on a comprehensive assessment of object appearance, spatial characteristics, and Gaussian features, ensuring more precise and logical label assignments. …”
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Efficient and Effective NDVI Time-Series Reconstruction by Combining Deep Learning and Tensor Completion by Ang Li, Menghui Jiang, Dong Chu, Xiaobin Guan, Jie Li, Huanfeng Shen

“…Considering the temporal continuity and spatial correlation of NDVI time-series data, we combine long short-term memory with a convolution (LSTM-Conv) structure and utilize residual learning and dense connection strategies to mine the spatiotemporal features in depth. …”
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Deep Learning Model Compression and Hardware Acceleration for High-Performance Foreign Material Detection on Poultry Meat Using NIR Hyperspectral Imaging by Zirak Khan, Seung-Chul Yoon, Suchendra M. Bhandarkar

“…Hyperspectral imaging (HSI) offers a non-invasive mechanism to capture detailed spatial and spectral information, enabling the discrimination of different types of contaminants from poultry muscle and non-muscle external tissues. …”
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Multi-Channel Electrolyte Supply for Electrochemical Trepanning of Blisks Using Rotational Feeding Combined with Shift Feeding by Gaopan Lei, Dong Zhu, Mingzhu Ren, Erhao Jiao, Yongquan Xie, Mingfu Li

“…The methods presented here offer an effective guide for flow-field optimization when machining other components with complex spatial structures.…”
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Error Analysis of the <i>L</i>1 Scheme on a Modified Graded Mesh for a Caputo–Hadamard Fractional Diffusion Equation by Dan Liu, Libin Liu, Hongbin Chen, Xiongfa Mai

“…Subsequently, a new truncation error bound for the L1 discretisation format of Caputo–Hadamard fractional-order derivatives is established by means of a Taylor cosine expansion of the integral form, and a second-order central difference method is used to achieve high-precision discretisation of spatial derivatives. Furthermore, a rigorous analysis of stability and convergence under the maximum norm is conducted, with special attention devoted to validating that the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>L</mi><mn>1</mn></mrow></semantics></math></inline-formula> approximation scheme manifests an optimal convergence order of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mo>−</mo><mi>α</mi></mrow></semantics></math></inline-formula> when deployed on the modified graded mesh. …”
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Deterministic and Stochastic Seismic Inversion techniques towards a better prediction for the reservoir distribution in NEAG-2 Field, north Western Desert, Egypt by O. Rashad, A.N. El-Barkooky, A. El-Araby, M. El-Tonbary

“…Also, to mitigate the reservoir trends uncertainty, and assess its spatial continuity in the uncalibrated areas. There were some concerns about the seismic quality, although, several trials were implemented to get the best results and overcome the seismic vagueness. …”
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Positive impact of the introduction of low-emission zones in Antwerp and Brussels on air quality, socio-economic disparities and health: a quasi-experimental study by Luk Bruyneel, Bianca Cox, Anne Stauffer, Ludo Vandenthoren, Frans Fierens, Tim S. Nawrot, Christian Horemans

“…This study evaluated if implementation of LEZs in Antwerp (2017) and Brussels (2018) improved air pollution within the boundaries of the defined zones, if spatial spillover effects occurred, if socioeconomic inequality in air pollution exposure changed over time, and if health was affected. …”
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Synergistic Semantic Segmentation and Height Estimation for Monocular Remote Sensing Images via Cross-Task Interaction by Xuanang Peng, Shixin Wang, Futao Wang, Jinfeng Zhu, Suju Li, Longfei Liu, Zhenqing Wang

“…However, due to factors such as complex semantic categories and the inconsistent spatial scales of remotely sensed images, existing multi-task learning methods often fail to achieve better results on these two tasks. …”
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A noval RUL prediction method for rolling bearing: TcLstmNet-CBAM by Qiang Liu, Zhengwei Dai, Hongxi Lai, Minghao Chen, Huiyuan Huang, Jiahui Fu, Mingxin Hou, Xiaoming Xu, Guangbin Wang, Jin Yan

“…Finally, to validate the effectiveness of the proposed approach, we conducted experiments on the PHM2012 and XJTU-SY rolling bearing datasets, comparing its performance against several other prevalent deep learning prediction methods. …”
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Quantifying Thermal Demand in Public Space: A Pedestrian-Weighted Model for Outdoor Thermal Comfort Design by Deyin Zhang, Gang Liu, Kaifa Kang, Xin Chen, Shu Sun, Yongxin Xie, Borong Lin

“…Computational Fluid Dynamics (CFD) simulations were conducted based on design-phase documentation and field measurements to model the thermal environment. …”
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Can AI-Based Video Analysis Help Evaluate the Performance of the Items in the Bayley Scales of Infant Development? by Dong Hyun Ye, Tae Won Kim, Su Min Kim, Ji Won Seo, Jongyoon Chang, June-Goo Lee, Eun Jae Ko

“…<b>Methods:</b> A prospective cohort study was conducted from February 2022 to December 2022, including children aged 12–42 months referred for suspected developmental delay. …”
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Smart village concept in Indonesia: ICT as determining factor by Anindya Puteri Eka Susilowati, Rini Rachmawati, R. Rijanta

“…The data on smart village locations are collected from the regulations of the Ministry of Village and literature obtained through internet browsing. The research was conducted using a quantitative descriptive approach and supported by spatial analysis. …”
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Utilization of radiometric data for mapping primary and secondary sources of gamma radiation and radon/thoron release potentials in Ireland by Mirsina M. Aghdam, Mirsina M. Aghdam, Mark Kavanagh, Quentin Crowley, Quentin Crowley

“…Additionally, we highlight the critical need to monitor thoron alongside radon in indoor surveys, as thoron’s shorter half-life and higher energy levels may pose a greater health risk.MethodsWe utilized Tellus radiometric survey data and indoor radon measurement records to investigate the spatial correlation between elevated indoor radon activity and anomalies in radioelement concentrations. …”
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