Application of physics-informed neural networks (PINNs) solution to coupled thermal and hydraulic processes in silty sands by Yuan Feng, Jongwan Eun, Seunghee Kim, Yong-Rak Kim

Subjects: “…Physics-informed neural networks…”
Get full text

Quasi-Normal Modes: The “Electrons” of Black Holes as “Gravitational Atoms”? Implications for the Black Hole Information Puzzle by Christian Corda

“…We also show that, in addition, our approach solves the entanglement problem connected with the information paradox.…”
Get full text

Informed consent in dementia research: how Public Involvement can contribute to addressing “old” and “new” challenges by Ana Diaz, Cindy Birck, Angela Bradshaw, Jean Georges, Daphne Lamirel, Soraya Moradi-Bachiller, Dianne Gove

Subjects: Get full text

Research on Neural Network Prediction Model of Whole Process Risk Management Based on Building Information Model by Shihong Huang, Chengye Liang, Jiao Liu

“…Based on the integration of back propagation (BP) neural network and building information model (BIM) technology, this paper carries out the research on risk management process of the whole life cycle of large public buildings and identifies the risk factors of large public buildings from the application dimension and the management dimension. …”
Get full text

Designing and Launching a System for Presenting Marine Charts and Spatial Information (Native Marine Web Service) by Ali Hasankhani

Subjects: Get full text

The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancer by Evan D. Paul, Barbora Huraiová, Natália Valková, Natalia Matyasovska, Daniela Gábrišová, Soňa Gubová, Helena Ignačáková, Tomáš Ondris, Michal Gala, Liliane Barroso, Silvia Bendíková, Jarmila Bíla, Katarína Buranovská, Diana Drobná, Zuzana Krchňáková, Maryna Kryvokhyzha, Daniel Lovíšek, Viktoriia Mamoilyk, Veronika Mancikova, Nina Vojtaššáková, Michaela Ristová, Iñaki Comino-Méndez, Igor Andrašina, Pavel Morozov, Thomas Tuschl, Fresia Pareja, Jakob N. Kather, Pavol Čekan

“…Our consensus subtyping and risk groups mitigate single sample discordance, provide early and late prognostic information, and identify high risk patients with enriched immune signatures, which predict response to neoadjuvant immunotherapy in the multicenter, phase II, prospective I-SPY2 trial. …”
Get full text

Cooperative Communication in Cognitive Radio Networks under Asymmetric Information: A Contract-Theory Based Approach by Nan Zhao, Minghu Wu, Wei Xiong, Cong Liu

“…The optimal contract design under both symmetric information and asymmetric information is presented based on contract theory. …”
Get full text

The Evolution of Digital Building Logbook: Exploring Building Information Gathering Systems to Boost Building Maintenance and Renovation by Martina Signorini, Mario Claudio Dejaco, Sonia Lupica Spagnolo

“…The architecture, engineering, construction, and operations industry is distinguished by having plenty of and a variety of data, which makes the acquisition, storage, retrieval, and use of information difficult. Due to a data exchange system primarily based on paper-based transmission, multiple classification systems, the use of inconsistent criteria and practices, and a significant number of stakeholders involved during the building life cycle (each with distinct requirements and levels of access to information), the entire construction process must deal with ineffective information exchange among actors. …”
Get full text

Physics-Informed Neural Network-Based Input Shaping for Vibration Suppression of Flexible Single-Link Robots by Tingfeng Li, Tengfei Xiao

Subjects: “…physics-informed neural network (PINN)…”
Get full text

Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow by Mohammad Shamsuddoha, Eijaz Ahmed Khan, Md Maruf Hossan Chowdhury, Tasnuba Nasir

“…Information…”
Get full text

Event-Triggered State Estimation for a Class of Delayed Recurrent Neural Networks with Sampled-Data Information by Hongjie Li

“…The paper investigates the state estimation problem for a class of recurrent neural networks with sampled-data information and time-varying delays. The main purpose is to estimate the neuron states through output sampled measurement; a novel event-triggered scheme is proposed, which can lead to a significant reduction of the information communication burden in the network; the feature of this scheme is that whether or not the sampled data should be transmitted is determined by the current sampled data and the error between the current sampled data and the latest transmitted data. …”
Get full text

Composite Fault Diagnosis for Rotating Machinery of Large Units Based on Evidence Theory and Multi-Information Fusion by Naiquang Su, Xiao Li, Qinghua Zhang, Zhiqiang Huo

“…This paper proposes a composite faults diagnosis method for rotating machinery of the large unit based on evidence theory and multi-information fusion. The evidence theory and multi-information fusion method mainly deal with multisource information and conflict information, synthesize multiple uncertain information, and obtain synthetic information from multiple data sources. …”
Get full text

New belief divergence measure based on cosine function in evidence theory and application to multisource information fusion by Xiaoyang Liu, Cheng Xie, Zhe Liu, Sijia Zhu

Subjects: “…Multisource information fusion…”
Get full text

What causes reticence in publicly correcting false information online? A case study from the Philippines by Jessica Asprer, Eleanor Marie Escalante, Jeremaiah Opiniano

Subjects: Get full text

THE PUBLISHING SERIES "LIBRARY OF THE FRANKO HOUSE" AS A POPULAR SOURCE OF BIOGRAPHICAL INFORMATION ABOUT IVAN FRANKO by Anastasiia Kovalyshyn

Get full text

CONTROVERSIAL ASPECTS OF A CHOICE OF SYSTEM OF INFORMATION SUPPORT OF MANAGEMENT STRATEGY AND TACTICS OF DEVELOPMENT OF RAILWAY TRANSPORT by A. Bondarenko

Subjects: Get full text

Social spaces, casual interactions, meaningful exchanges: 'information ground' characteristics based on the college student experience. by K.E. Fisher, C.F. Landry, C. Naumer

Subjects: “…Information exchange in social spaces…”
Get full text

A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions by Xi Xi, Jiaqi Li, Jinmeng Jia, Qiuchen Meng, Chen Li, Xiaowo Wang, Lei Wei, Xuegong Zhang

Get full text

THE ROLE OF INFORMANTS IN THE ACCENTUATION OF ARMED BANDITRY IN NORTH-WESTERN NIGERIA: A CASE STUDY OF ZAMFARA STATE by TUKUR ABDULKADIR, ABDULNASIR UMAR

Subjects: Get full text

Determinants of Demand and Participation by Poultry Farmers in Formal and Informal Credit Markets in Cross River State, Nigeria by Udeme Henrietta Ukpe, Bethel Fidelis Ewung

“…Therefore, this study was undertaken to analyse factors affecting the demand and participation of agro-entrepreneurs, particularly poultry farmers, in formal and informal credit markets in Cross River State, Nigeria. …”
Get full text