Permafrost Cloud Feedback May Amplify Climate Change by Philipp deVrese, Tobias Stacke, Veronika Gayler, Victor Brovkin

“…Abstract Rising temperatures entail important changes in the soil hydrologic processes of the northern permafrost zone. Using the ICON‐Earth System Model, we show that a large‐scale thaw of essentially impervious frozen soil layers may cause a positive feedback by which permafrost degradation amplifies the causative warming. …”
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Propagation of SH-waves in a pre-stressed compound piezoelectric/piezomagnetic plate by T. I. Belyankova, E. I. Vorovich, V. V. Kalinchuk

“…A mathematical model of dynamic processes in a composite plate of prestressed piezoelectric (PE) and piezomagnetic (PM) layers is proposed. …”
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Semantic Image Synthesis via Class-Adaptive Cross-Attention by Tomaso Fontanini, Claudio Ferrari, Giuseppe Lisanti, Massimo Bertozzi, Andrea Prati

“…In response, we designed a novel architecture where cross-attention layers are used in place of SPADE for learning shape-style correlations and so conditioning the image generation process. …”
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Machine Learning Potential for Serpentines by Hongjin Wang, Chenxing Luo, Renata M. Wentzcovitch

“…Abstract Serpentines are layered hydrous magnesium silicates (MgO⋅SiO2⋅H2O) formed through serpentinization, a geochemical process that significantly alters the physical property of the mantle. …”
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A Reference Architecture for Smart Car Parking Management Systems by Mert Ozkaya, Alper Turunc

“…Our RA design offers a feature model that consists of the common and varying features for SPMSs. …”
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Study on the extension law of fractures in shale reservoirs under impact loads. by Wei Li, Zhuolun Li, Ying Li, Huan Zhao, Shuangyang Wang, Xingsheng Xu, Jiahao Kong

“…The dynamic elastic modulus of shale samples was tested by using the Split Hopkinson Pressure Bar (SHPB) test system. A finite element model was established by using LS-DYNA software. …”
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A decision support tool for predicting water yield in North Florida forests by Katie Glodzik, Matthew J. Cohen

“…Our tool assembles geographic data layers on forest structure, hydrogeology, and hydroclimate, the inputs for an established empirical model to predict stand-level water yield. …”
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Applying a Parameterized Quantum Circuit to Anomaly Detection by Jehn-Ruey Jiang, Jyun-Sian Li

“…In this study, a parameterized quantum circuit (PQC) is applied for anomaly detection, a crucial process to identify unusual patterns or outliers in data. …”
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Maladaptive neuropathological syndrome of blood vessel aging by A. A. Artemenkov

“…Based on this principle, a model of vascular aging is further constructed, which is based on the maladaptive damage to all layers of the vascular wall (intima, media and adventitia). …”
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A deep fusion‐based vision transformer for breast cancer classification by Ahsan Fiaz, Basit Raza, Muhammad Faheem, Aadil Raza

“…Convolutional neural network (CNN) models like ResNet50, Inception‐V1, and VGG‐16, while useful in many applications, cannot capture the patterns of cell layers and staining properties. …”
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Tensile strength and elongation prediction for pulsed current gas tungsten arc welded AISI 4135 steel by auto-associative memory network by Efezino McCarthy Elutabe, Sunday Ayoola Oke, John Rajan, Swaminathan Jose

“…The results demonstrated that a simple auto-associative memory network of two layers can store and recall PCGTAW process data. The mean absolute error and root mean square error between the predicted and actual tensile strength were 37.13 and 46.83 MPa, respectively, and for elongation percentage, they were 0.64 and 0.91%, respectively. …”
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Numerical Study on Interaction Between the Water-Exiting Vehicle and Ice Based on FEM-SPH-SALE Coupling Algorithm by Zhenting Diao, Dengjian Fang, Jingwen Cao

“…Addressing the low solution accuracy of traditional grid methods in simulating large deformation and destruction of ice layers, a numerical model was established based on the FEM-SPH-SALE coupling algorithm to study the dynamic characteristics of the water-exiting vehicle on the icebreaking process. …”
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An intercomparison of national and global land use and land cover products for Fiji by Kevin P. Davies, John Duncan, Renata Varea, Diana Ralulu, Solomoni Nagaunavou, Nathan Wales, Eleanor Bruce, Bryan Boruff

“…These data were used to train a random forests model to convert an image stack of pre-processed Sentinel-2 surface reflectance data and topographic spatial layers into an annual categorical LULC map. …”
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“Oxygen starvation” of the atmosphere by Givishvili Givi, Leshchenko Liudmila

“…The first concept is based on the hypothesis about the key role of the decrease in oxygen content in the atmosphere in this process. The second model, which emerged a little later, attributes the observed effects to the growth of greenhouse gases in the atmosphere, primarily CO2. …”
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Temporal multiomics gene expression data of human embryonic stem cell-derived cardiomyocyte differentiation by Abdurrahman Keskin, Hani J. Shayya, Dario Sirabella, Achchhe Patel, Barbara Corneo, Marko Jovanovic

“…Abstract Human embryonic stem cells (hESCs) serve as a valuable in vitro model for studying early human developmental processes due to their ability to differentiate into all three germ layers. …”
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Removal of Rhodamine B from aqueous solutions using coffee residual by Choong Jeon, Moo Joon Shim

“…According to the isothermal adsorption equation, RhB adsorption onto CR@Fe3O4 takes place in both mono and multi layers. The RhB adsorption process in aqueous solution employing CR@Fe3O4 was better suited for the pseudo-second-order model, indicating that chemisorption regulated the adsorption process. …”
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3D Printing on Textiles – Overview of Research on Adhesion to Woven Fabrics by Tanja Nuša Kočevar

“…The fused deposition modelling (FDM) technology, where thermoplastic filaments are extruded and deposited in thin layers based on a 3D model, is widely used for this purpose. …”
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PERFORMANCE OF THE ACCURACY OF FORECASTING THE CONSUMER PRICE INDEX USING THE GARCH AND ANN METHODS by Dian Kurniasari, Zaenal Mukhlisin, Wamiliana Wamiliana, Warsono Warsono

“…In this study, mape error calculation results were obtained with the ARIMA model (4,2,2)~GARCH(1.1) of 3.19% or with an accuracy of 96.81%, and ANN using two hidden layers of 1.24% or with an accuracy of 98.76%. …”
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An Examination of Geomagnetic Induction in Submarine Cables by David H. Boteler, Shibaji Chakraborty, Xueling Shi, Michael D. Hartinger, Xuan Wang

“…In addition, induction in the seawater and leakage of induced currents through the underlying resistive layers are modeled using a transmission line model of the ocean and underlying layers to determine the change in Earth potentials at the cable ends. …”
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Tuberculosis detection with customized CNN and oversampling techniques: a deep learning approach by B. H. Shekar, Shazia Mannan

“…Grad-CAM has been applied to interpret the decision-making process of the models and correctly identify the regions of interest. …”
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