Snow monitoring at strategic locations improves water supply forecasting more than basin-wide mapping by Mark S. Raleigh, Eric E. Small, Edward H. Bair, Cameron Wobus, Karl Rittger

“…Here we show that adding strategic measurements at snow hotspots – localized areas with untapped information for predicting streamflow – consistently outperforms spatially complete surveys that provide basin-average snowpack, both in basins with and without existing stations. …”
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Study on the simulation of bridge deformation in a mining subsidence area by Chi Zhang, Kan Wu, Shengxiang Huang, Lingai Li, Xiaokang Rao

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Cities as Organisms: Allometric Scaling of Urban Road Networks by Horacio Samaniego, Melanie E. Moses

“…Per capita road capacity is independent of the spatial extent of cities. Driving distances do depend on the size of the city, although not as much as is predicted by a completely centralized model. …”
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Emergent Holographic Forces from Tensor Networks and Criticality by Rahul Sahay, Mikhail D. Lukin, Jordan Cotler

“…Remarkably, these excitations have one- and two-particle energies matching the predictions for matter coupled to AdS gravity at long distances, thus displaying key features of AdS physics. …”
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Prognostic and immunotherapeutic potential of disulfidptosis-associated signature in pancreatic cancer by Ran Cui, Gaoming Wang, Renhao Hu, Yongkun Wang, Huiling Mu, Yanxiang Song, Bo Chen, Xiaohua Jiang

“…In conclusion, our study introduces a novel disulfidptosis-related signature with high efficacy in patient risk stratification, which has the ability to predict the sensitivity to immune checkpoint blockade.…”
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The Multiphysics Analysis and Suppression Method for the Electromagnetic Noise of Permanent-Magnet Motors Used in Electric Vehicle by Junhong Dong, Hongbin Yin, Guohao Li, Xiaojun Wang, Mingyang Luo

“…A method for predicting the electromagnetic noise of a permanent-magnet motor based on the coupling of electromagnetic force and modal is proposed. …”
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Identifying dispersal events of red foxes (Vulpes vulpes) using early warning signals by Felicitas Oehler, Janosch Arnold, Klaus Hackländer, Johannes Signer, Stéphanie C. Schai-Braun, Robert Hagen

“…Methods We tested whether early warning signals (EWSs) on time series of the NSD, can be used to predict dispersal events. To identify EWSs we conducted a rolling window approach and evaluated the dispersal events by performing a spatial cluster analysis with the mechanistic range shift analysis (MRSA). …”
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Large-Scale Maize Condition Mapping to Support Agricultural Risk Management by Edina Birinyi, Dániel Kristóf, Roland Hollós, Zoltán Barcza, Anikó Kern

“…The agreement between the yield category maps and those predicted from the crop condition time series by our Random Forest model was 84.56%, while the F1 score was 0.74 with a two-category yield map. …”
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Human–wildlife interactions by C. Rosell, F. Llimona

“…The second paper provides an example of how the distribution of irrigated croplands influences wild boar roadkills in NW Spain (Colino–Rabanal et al., 2012). By modeling the spatial distribution of wild boar collisions with vehicles and using generalized additive models based on GIS, the authors show that the number of roadkills is higher in maize croplands than in forested areas. …”
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A novel approach for joint indoor localization and activity recognition using a hybrid CNN-GRU and MRF framework. by Sarmad Sohaib, Syed Mohsin Bokhari, Muhammad Shafi, Anas Alhashmi

“…The CNN-GRU successfully captures spatial and temporal dependencies, while the MRF models the mutual relations of activities and locations by estimating their joint probability distribution. …”
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Fosab, but not fosaa, plays important role in learning and memory in fish—insights from zebrafish gene knockout study by Qiuling Wang, Qiuling Wang, Qiuling Wang, Lixin Zhang, Lixin Zhang, Lixin Zhang, Chenyuan Zhu, Chenyuan Zhu, Chenyuan Zhu, Ke Lu, Ke Lu, Ke Lu, Jiaqi Wu, Jiaqi Wu, Jiaqi Wu, Xu-Fang Liang, Xu-Fang Liang, Xu-Fang Liang

“…We used CRISPR/Cas9 technology to generate fosaa and fosab knockout zebrafish models.Results: In this study, we discovered the brain weight marked reduction in fosaa−/− and fosab−/− zebrafish compared with the wild-type (WT) (AB strain) zebrafish. …”
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Spatiotemporal patterns and driving factors of terrestrial ecosystem gross primary productivity in the Henan Section of the Yellow River Basin by CUI Mengyang, CAO Yanping, WANG Shaokun, YANG Kang

“…【Method】We used Theil-Sen median trend analysis and the Mann-Kendall test to assess long-term GPP trends from 2001 to 2022. The GeoDetector model was used to evaluate the influence of climatic, topographic, and anthropogenic factors on spatial variation in GPP.…”
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Climate-responsive vector control strategies for Aedes albopictus by Jesús Bellver-Arnau, Laura Blanco-Sierra, Santi Escartin, Simone Mariani, Frederic Bartumeus

“…Methods In this study, we employed a metapopulation model to simulate Ae. albopictus population dynamics and dispersal, optimizing the timing and spatial allocation of larvicidal treatments. …”
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Remote sensing perspective in exploring the spatiotemporal variation characteristics and post-disaster recovery of ecological environment quality, a case study of the 2010 Ms7.1 Yu... by Yaohui Liu, Yu Lin, Wenyi Liu, Jie Zhou, Jin Wang

“…Then, we analyzed the spatiotemporal characteristics of Yushu’s EEQ from 2001 to 2020 and explored spatial autocorrelation relationships. Last, the driving mechanism of EEQ recovery in Yushu was analyzed using the GeoDetector model. …”
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Spatiotemporal analysis of Anopheles gambiae larval sites and malaria transmission in Djilakh, Central Senegal by Assane Ndiaye, Camille Morlighem, Aminata Niang Diène, Moussa Kane, Abdoulaye Diallo, Fassiatou Tairou, Mohamed Abderemane Nourdine, Pape Cheikh Sarr, Lassana Konaté, Ousmane Faye, Oumar Gaye, El Hadji Amadou Niang, Catherine Linard, Ousmane Sy

“…Abstract Background The progress made against malaria has resulted in a nationwide reduction of the disease burden in Senegal. The observed overall low transmission levels are, however, marked by an important spatial heterogeneity with hotspots subsisting in several parts of the country. …”
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Forest cover restoration analysis using remote sensing and machine learning in central Malawi by Jabulani Nyengere, Precious Masuku, Sylvester Chikabvumbwa, Weston Mwase, Msaiwale Kathewera, Allena Laura Njala, Wilson Tchongwe, Isaac Tchuwa, Tiwonge I Mzumara, Chikondi Chisenga, Wilfred Kadewa, Emmanuel Chinkaka, Harineck Tholo

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Vertical Velocity Diagnosed From Surface Data With Machine Learning by Jing He, Amala Mahadevan

“…We evaluate the machine learning models' sensitivities to different inputs, spatial resolution of surface fields, the addition of noise, and information about the subsurface density. …”
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SOME DYNAMIC PROCESSES AT LONGITUDINALLY-TRANSVERSE SHIFT OF THE CARGO by Leontii MURADIAN, Anzhelika SHVETS, Angela SHVETS

“…During the analytical simulation, a multibody model of the spatial oscillations of the wagon was used. …”
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Relative Humidity and Air Temperature Characteristics and Their Drivers in Africa Tropics by Isaac Kwesi Nooni, Faustin Katchele Ogou, Abdoul Aziz Saidou Chaibou, Samuel Koranteng Fianko, Thomas Atta-Darkwa, Nana Agyemang Prempeh

“…Semi-arid regions in the Sahelian–Guinean belt recorded moderate TEMP (25–30 °C) and RH (30–60%), while the Guinean coastal belt and Congo Basin experienced cooler, more humid conditions (TEMP < 20 °C, RH (60–90%). (2) Trend analysis using Mann–Kendal and Sen slope estimator analysis revealed spatial heterogeneity, with increasing TEMP and deceasing RH trends varying by region and season. (3) The warming rate was higher in arid and semi-arid areas, with seasonal rates exceeding annual averages (0.18 °C decade⁻¹). …”
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Impact of Extreme Climate Indices on Vegetation Dynamics in the Qinghai–Tibet Plateau: A Comprehensive Analysis Utilizing Long-Term Dataset by Hanchen Duan, Beiying Huang, Shulin Liu, Jianjun Guo, Jinlong Zhang

“…Both correlation analysis and random forest methodologies underscore the impact of extreme climate indices on vegetation variations, with the random forest model exhibiting superior capability in capturing nonlinear relationships. …”
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