IMPLEMENTATION OF MAPPING-BASED MACHINE LEARNING ALGORITHM AS NON-STRUCTURAL DISASTER MITIGATION TO DETECT LANDSLIDE SUSCEPTIBILITY IN TAKARI DISTRICT by Sefri Imanuel Fallo, Lidia Paskalia Nipu

“…Furthermore, further research could conduct spatial validation of the model predictions using additional datasets or remote sensing data to validate the accuracy of the landslide susceptibility map and ensure its applicability across different geographical regions.…”
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Deep Learning-Based Atmospheric Visibility Detection by Yawei Qu, Yuxin Fang, Shengxuan Ji, Cheng Yuan, Hao Wu, Shengbo Zhu, Haoran Qin, Fan Que

“…Each model’s characteristics and application methods are discussed, highlighting the efficiency of CNNs in spatial feature extraction, RNNs in temporal tracking, GANs in image restoration, and Transformers in capturing long-range dependencies. …”
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Forecasting Spatiotemporal Dynamics of Daytime Surface Urban Cool Islands in Response to Urbanization in Drylands: Case Study of Kerman and Zahedan Cities, Iran by Mohammad Karimi Firozjaei, Naeim Mijani, Solmaz Fathololoumi, Jamal Jokar Arsanjani

“…Various methods, including a random forest algorithm, spectral indices, Cellular Automata-Markov (CA-Markov) model, the cross-tabulation model, and spatial overlay and zonal statistics, were employed to assess and model the spatiotemporal changes in SUCII. …”
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Emergence of cellular nematic order is a conserved feature of gastrulation in animal embryos by Xin Li, Robert J. Huebner, Margot L. K. Williams, Jessica Sawyer, Mark Peifer, John B. Wallingford, D. Thirumalai

“…To explain the common physical mechanism, we created a theoretical model that not only explains the experimental observations but also predicts that the nematic phase should be disrupted upon loss of planar cell polarity (frog), cell adhesion (frog), and notochord boundary formation (zebrafish). …”
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Study on the Shock Wave Characteristics of Spherical and Cylindrical Explosives in Near-field Underwater Explosion by J. Yu, X. P. Zhang, J. Wang, Y. Hao, H. B. Mao

“…Therefore, precise prediction of shockwave loading characteristics for various charge shapes during underwater explosions is critical. …”
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Spatiotemporal orchestration of calcium-cAMP oscillations on AKAP/AC nanodomains is governed by an incoherent feedforward loop. by Lingxia Qiao, Michael Getz, Ben Gross, Brian Tenner, Jin Zhang, Padmini Rangamani

“…In this work, we develop computational models of the Ca2+/cAMP pathway and AKAP/AC nanodomain formation that give rise to the two important predictions: instead of an arbitrary phase difference, the out-of-phase Ca2+/cAMP oscillation reaches Ca2+ trough and cAMP peak simultaneously, which is defined as inversely out-of-phase; the in-phase and inversely out-of-phase oscillations associated with Ca2+-cAMP dynamics on and away from the nanodomains can be explained by an incoherent feedforward loop. …”
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DTCNet: finger flexion decoding with three-dimensional ECoG data by Fufeng Wang, Zihe Luo, Wei Lv, XiaoLin Zhu

“…Specifically, current models tend to confuse the movement information of different fingers and fail to fully exploit the dependencies within time series when predicting long sequences, resulting in limited decoding performance. …”
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On the Formation of Planets in the Milky Way’s Thick Disk by Tim Hallatt, Eve J. Lee

“…Disk temperatures exceed the sublimation temperatures of common volatile species for ≳Myr timescales, predicting more spatial homogeneity in gas chemical composition. …”
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Surface Multi-Hazard Effects of Underground Coal Mining in Mountainous Regions by Xuwen Tian, Xin Yao, Zhenkai Zhou, Tao Tao

“…Additionally, the subsidence continued even after coal mining operations concluded. Predictions derived from the logistic model indicate that the duration of residual surface subsidence in the study area is approximately 1 to 2 years. …”
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Wastewater-based surveillance data to determine the COVID-19 trends in communities with low populationMendeley Data by Aiswarya Rani Pappu, Ashley Green, Melanie Oakes, Sunny Jiang

“…This dataset will help to 1) improve future wastewater based epidemiological models, 2) improve understanding on PMMoV concentration ranges in wastewater at low population communities, 3) develop methods to support data interpretation, and 4) understand the effects of spatial scales on sampling frequency and infection outbreak detection.…”
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A Spectroastrometric Study of the Low-velocity Wind from DG Tau A by Yu-Ru Chou, Michihiro Takami, Shin-Ping Lai, Emma Whelan, Noah B. Otten, Min Fang, Akito Tajitsu, Masaaki Otsuka, Hsien Shang, Chun-Fan Liu, Jennifer Karr, Aisling Murphy

“…We find that the observed line profiles and the spatial scales of the LVC emission do not agree with the existing predictions for photoevaporative or magnetohydrodynamical disk winds. …”
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Molecular Dynamics-Based Two-Dimensional Simulation of Powder Bed Additive Manufacturing Process for Unimodal and Bimodal Systems by Yeasir Mohammad Akib, Ehsan Marzbanrad, Farid Ahmed

“…The packing density in the powder bed dictates the bulk powder behavior and in-process performance and, therefore, significantly impacts the mechanical and physical properties of the printed components. Numerical modeling of the powder bed process helps to understand the powder spreading process and predict experimental outcomes. …”
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Reflection of two-dimensional surface polaritons by metallic nano-plates on atomically thin crystals by Lee Seojoo, Kang Ji-Hun

“…Owning to their unusual optical properties, such as electrical tunability and strong spatial confinement, two-dimensional surface polaritons (2DSPs) hold great promise for deep sub-wavelength manipulation of light in a reduced low-dimensional space. …”
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S. pombe kinesins-8 promote both nucleation and catastrophe of microtubules. by Muriel Erent, Douglas R Drummond, Robert A Cross

“…Our evidence identifies Klp5 and 6 as spatial regulators of microtubule dynamics that enhance both microtubule nucleation at the cell centre and microtubule catastrophe at the cell ends.…”
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Travel patterns in China. by Tini Garske, Hongjie Yu, Zhibin Peng, Min Ye, Hang Zhou, Xiaowen Cheng, Jiabing Wu, Neil Ferguson

“…Travel patterns in both populations were well-fitted by a gravity model with a lognormal kernel function. The results provide the first quantitative information on human travel patterns in modern China, and suggest that a pandemic emerging in a less developed area of rural China might spread geographically sufficiently slowly for containment to be feasible, while spatial spread in the more economically developed areas might be expected to be much more rapid, making containment more difficult.…”
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Multi-criteria decision analysis for regional-scale flood susceptibility mapping in Kerala state, India by M. S. Kendagannaswamy, C. K. Roopa, B. S. Harish, M. S. Mukesh

“…This research aims to develop flood susceptibility maps for Kerala using a spatial flood database integrated within the ArcGIS interface. …”
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Globally scalable glacier mapping by deep learning matches expert delineation accuracy by Konstantin A. Maslov, Claudio Persello, Thomas Schellenberger, Alfred Stein

“…Here we address this gap and propose Glacier-VisionTransformer-U-Net (GlaViTU), a convolutional-transformer deep learning model, and five strategies for multitemporal global-scale glacier mapping using open satellite imagery. …”
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Segregation of particles during maize loading process in a center-loaded silo by Guixiang Chen, Chaosai Liu, Deqian Zheng, Dianxuan Wang

“…Inorganic impurities mainly accumulated in the 1/4–3/4 radius, while other organic impurities accumulated mostly near the wall of the silo. A nonlinear model considering kernel breakage and segregation was developed to predict the porosity distribution in the vertical and radial direction in the silo. …”
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Recombinant expression and functional analysis of transgelin-like protein from the shell of Mytilus coruscus by JIANG Yuting, SUN Qi, XU Huanzhi, SHEN Wang, ZHANG Xiaolin, FAN Meihua, LIAO Zhi

“…Sequence analysis showed that the TLP contained a calponin homology (CH) domain, and the spatial structure of TLP predicted by SWISS-MODEL presented a conformation formed predominately by α-helices. …”
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Advances in tumor subclone formation and mechanisms of growth and invasion by Yuhong Zhang, Weidong Wang

“…Major methodologies for studying tumor subclones include single-cell sequencing, liquid biopsy, and spatial transcriptomics, which provide insights into clonal architecture and dynamic evolution. …”
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