A soil temperature dataset based on random forest in the Three River Source Region by Xiaoqing Tan, Siqiong Luo, Hongmei Li, Zhuoqun Li, Qingxue Dong

“…Abstract Changes in soil temperature (ST) in the Three River Source Region (TRSR) significantly influence regional climate, ecology, and hydrological processes. However, existing models and reanalysis data exhibit considerable deviations in ST due to limitations in physical processes and parameterization schemes. …”
Get full text

Ensembling methods for protein-ligand binding affinity prediction by Jiffriya Mohamed Abdul Cader, M. A. Hakim Newton, Julia Rahman, Akmal Jahan Mohamed Abdul Cader, Abdul Sattar

“…Our deep learning models use cross-attention and self-attention layers to extract short and long-range interactions. …”
Get full text

DFT-metadynamics insights on the origin of the oxygen evolution kinetics at the (100)-WSe2 surface by Fabrizio Creazzo, Kevin Sivula, Sandra Luber

“…Our findings not only provide insights into the OER process but also offer a design strategy for optimizing WSe2-based catalysts and a modeling protocol for future DFT-based OER investigations.…”
Get full text

Deformation-aware design of flexible strained-SiGe channel TFTs by C. K. Maiti, Taraprasanna Dash

“…Abstract In this study, we present a novel deformation-aware predictive modeling and design process for flexible electronic applications of strained-SiGe channel thin-film transistors using a 3D Technology CAD simulation framework. …”
Get full text

Biopolymer blends for mechanical property gradient 3D printed parts by L. Jeantet, A. Regazzi, A. Taguet, M. F. Pucci, A.-S. Caro, J.-C. Quantin

“…It was determined that the fibrillar morphology of inclusions for PLA/PCL ratios higher than 30/70 proved to be driven by the manufacturing process. The tensile mechanical behaviors of printed and injected samples were similar, and their Young’s modulus was simulated using Halpin-Tsai and Mori Tanaka models based on the sample microstructure. …”
Get full text

Study on the Vibration Influence Law of Bored Cast-in-place Pile Construction on Existing Strata and Pipe Trenches by NIE Peng

“…Therefore, it is necessary to study the vibration response of the strata and structures caused by the rotary drilling process. ［Method］ Taking a station foundation pit excavation project of Jinan Metro Line 4 as the background, through field tests and numerical simulation methods based on three-dimensional finite element models, the influence of soil layers and power pipe trenches vibration caused by rotary drilling construction is analyzed considering factors such as vibration source distance, burial depth, excavation depth, different power pipe trench positions, and the number of piles under simultaneous construction. …”
Get full text

Impact of water vapor on stratospheric temperature after the 2022 Hunga Tonga eruption: direct radiative cooling versus indirect warming by facilitating large particle formation by Xi Chen, Jun Wang, Meng Zhou, Zhendong Lu, Lyatt Jaegle, Luke D. Oman, Ghassan Taha

“…Here, we developed analytical models constrained by satellite observations to quantify these contrasting roles of WV in stratospheric temperature perturbations. …”
Get full text

Direct observation of V-trimers in the crystal structure of LiVO2 by S. Yun, C.-F. Chang, S.-H. Chen, C.-Y. Kuo, L. H. Tjeng, A. C. Komarek

“…This motivated us to attribute the streak-like superstructure reflection intensities in LiVO2 to an overlap of reflections due to a unit cell doubling along the c-axis, which contrasts with the previous interpretation of randomly stacked V trimer layers. The availability of the crystal structure data forms a starting point for the quantitative modeling of the trimerization phenomenon in this complex Mott insulator.…”
Get full text

Optimizing cervical cancer diagnosis with accurate cell classification using modified HDFF by Pooja Patre, Dipti Verma

“…By enhancing the feature extraction process and combining multiple layers of deep learning models, the Modified HDFF method improves classification performance across various tasks, ranging from binary to multi-class problems. …”
Get full text

Reinforcement of Slope Failure on Ponorogo – Pacitan KM 226 Road to Mitigate Landslides by Ailia Rizky Akbarrina, Yulvi Zaika, Arief Rachmansyah

“…The collected field data was then processed and modeled to obtain an overview of the subsurface rock lithology arrangement. …”
Get full text

A conceptual framework for integrating deltaic food systems and spatial design: the case of the Mekong River Delta by Sophia Arbara, Fransje Hooimeijer

“…Second, it examines both past and future models of food equations in relation to the deltaic landscape. …”
Get full text

The Use of Probabilistic and Statistical Methods to Analyze the Formation of the Generation Potential of Deeply Buried Sediments of Upper Pechora Basin by E. A. Kuznetsova, V. I. Galkin

“…The structure of the upper horizons of the sedimentary cover is well studied, but there is a poor information about deeply buried sediments confined to the eastern side of the depression. Therefore, modeling of the formation of oil and gas potential of great depths is of interest. …”
Get full text

Improving subpixel impervious surface estimation based on point of interest (POI) data by Junzhe Wang, Wang Jin, Zheng Cao, Zhiyi Pan, Guang Yang, Yaolong Zhao

“…To form an integrated sample dataset for subpixel ISA estimation, POI data were processed using kernel density analysis and transformed into continuous raster layers compatible with remote sensing imageries. …”
Get full text

On the improvement of schizophrenia detection with optical coherence tomography data using deep neural networks and aggregation functions by Paweł Karczmarek, Małgorzata Plechawska-Wójcik, Adam Kiersztyn, Adam Domagała, Agnieszka Wolinska, Steven M. Silverstein, Kamil Jonak, Paweł Krukow

“…In this study Optical Coherence Tomography (OCT) data is applied to assess the different layers of the retina. OCT data were applied in the process of automatic differentiation of schizophrenic patients from healthy controls. …”
Get full text

On the movement of the honeybee queen in the hive by Jan Blaha, Martin Stefanec, Jiří Janota, Daniel Nicolas Hofstadler, Tomáš Rouček, Jiří Ulrich, Laurenz Alexander Fedotoff, George Broughton, Tomáš Vintr, Farshad Arvin, Thomas Schmickl, Tomáš Krajník

“…Our findings suggest that queen movement is shaped by temporally layered processes that may support brood nest stability, efficient egg-laying, and colony cohesion.…”
Get full text

Use of Ceramic-Industry Wastewater in Sandy Subgrade Stabilization by Deep Mixing Method by Hamed Heidari Forozabadi, Mohammad Khabiri, Kazem Barkhordari Bafghi, Dabessa Ayantu Miti Ku

“…The level of surface treatment was obtained using sand-shaped modeling; which was considered as a substrate stabilizing element, and other pavement layers. …”
Get full text

AI-Driven Innovation in Skin Kinetics for Transdermal Drug Delivery: Overcoming Barriers and Enhancing Precision by Nubul Albayati, Sesha Rajeswari Talluri, Nirali Dholaria, Bozena Michniak-Kohn

“…AI also streamlines the pharmaceutical process, from disease diagnosis to the prediction of drug distribution in skin layers, enabling efficient formulation development. …”
Get full text

A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…However, traditional design approaches rely heavily on complex physical models or labor-intensive trial-and-error processes, making them time-consuming and expensive. …”
Get full text

Advanced device for measuring linear and angular components of small displacements of monitor object surfaces by Igor P. Miroshnichenko

“…Areas of application are the following: experimental research; assessment and diagnostics of the structural materials samples; investigations of fast wave processes in the layered structures of complex shape made of the anisotropic composite materials. …”
Get full text

Explainable Machine Learning in Critical Decision Systems: Ensuring Safe Application and Correctness by Julius Wiggerthale, Christoph Reich

“…Machine learning (ML) is increasingly used to support or automate decision processes in critical decision systems such as self driving cars or systems for medical diagnosis. …”
Get full text