Global value chains and intra-BRICs trade in value-added by José Firmino de Sousa Filho, Gervásio Ferreira dos Santos, Luiz Carlos de Santana Ribeiro, Rodrigo Barbosa de Cerqueira, Larissa Lopes Lima

“…We analyze the BRICs countries' role in Global Value Chains (GVCs) and their trade patterns in value-added and vertical specialization, using the World Input-Output Database (WIOD) from 2000-2014 with a decomposition model of intermediate goods and trade flows. …”
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Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning by Alessio Maritan, Luca Schenato, Subhrakanti Dey

“…However, computing the exact Hessian is prohibitively expensive for high-dimensional input spaces, and is just impossible in zeroth-order optimization, where the objective function is a black-box of which only input-output pairs are known. In this work we address this relevant problem by providing a rigorous analysis of an Hessian estimator available in the literature, allowing it to be used as a provably accurate replacement of the true Hessian matrix. …”
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Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage by Dominic Davies-Tagg, Ashiq Anjum, Ali Zahir, Lu Liu, Muhammad Usman Yaseen, Nick Antonopoulos

“…We further establish rules and conditions for limiting unnecessary movement of the data, which helps to prevent wasted input output (I/O) costs. We also propose a hybrid algorithm that combines existing variables and new variables and conditions into a single data temperature. …”
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Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach by Nariman Valizadeh, Ahmed El-Shafie, Majid Mirzaei, Hadi Galavi, Muhammad Mukhlisin, Othman Jaafar

“…Recently, modern methods utilizing artificial intelligence, fuzzy logic, and combinations of these techniques have been used in hydrological applications because of their considerable ability to map an input-output pattern without requiring prior knowledge of the criteria influencing the forecasting procedure. …”
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Leveraging information and communication technology in digital economy: Exploring the contributions of the agriculture sector in Vietnam and Indonesia by Nguyễn Tô Huy, Trương Thị Hoàng Oanh, Bùi Thị Cẩm Tú, Thái Thủy Tiên, Nguyễn Hoàng Ngọc Trâm

“…The study exploits Input-Output (I-O) figures from the OECD statistical database to analyze the performance of Information and Communication Technology (ICT) applications in extending Vietnam’s digital agriculture industry. …”
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An environmental evaluation of food waste downstream management options: a hybrid LCA approach by Ramy Salemdeeb, Mohammad Bin Daina, Christian Reynolds, Abir Al-Tabbaa

“…Methods The assessment was carried out using a novel hybrid input–output-based life cycle assessment method (LCA), for 2014, and in a future decarbonised economy. …”
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Network Design Mode of In-Seam Gas Extraction Parameters Using Mathematical Modelling—Take Tangan Colliery as an Example by Tong-qiang Xia, Ke Gao, Hong-yun Ren, Jiao-fei He, Zi-long Li

“…Gas extraction design mainly relies on engineering experience rather than quantitative design, resulting in low input-output ratio of gas extraction because of unreasonable design. …”
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ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool by D. Di Santo, C. He, F. Chen, L. Giovannini

“…<p>The accurate calibration of parameters in atmospheric and Earth system models is crucial for improving their performance but remains a challenge due to their inherent complexity, which is reflected in input–output relationships often characterised by multiple interactions between the parameters, thus hindering the use of simple sensitivity analysis methods. …”
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AtOMICS: a deep learning-based automated optomechanical intelligent coupling system for testing and characterization of silicon photonics chiplets by Jaime Gonzalo Flor Flores, Jim Solomon, Connor Nasseraddin, Talha Yerebakan, Andrey B Matsko, Chee Wei Wong

“…A cost-efficient manner that reduces schedule risk needs to involve automated testing of multiple devices that share common characteristics such as input–output coupling mechanisms, but at the same time needs to be generalizable to various types of devices and scenarios. …”
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Non-apical plateau potentials and persistent firing induced by metabotropic cholinergic modulation in layer 2/3 pyramidal cells in the rat prefrontal cortex. by Nicholas Hagger-Vaughan, Daniel Kolnier, Johan F Storm

“…The PPs in L2/3PCs caused sustained spiking that profoundly altered the input-output relationships of these neurons, resembling the sustained activity suggested to underlie working memory and the mechanism underlying "behavioural time scale synaptic plasticity" in hippocampal pyramidal cells. …”
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Non-Linear Signal Analysis Applied to Surface Wear Condition Monitoring in Reciprocating Sliding Testing Machines by Francisco Paulo Lépore Neto, José Daniel Biasoli de Mello, Marcelo Braga dos Santos

“…Since the linear path can be identified by traditional signal analysis, the non-linear function can be evaluated by the global input/output relationships. Validation tests are conducted in a tribological system composed by a sphere in contact with and a prismatic body, which has an imposed harmonic motion. …”
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An open platform for agent-based modeling of spatial economics: conceptual framework and practical application by Bobylev Georgiy

“…The work is comprehensive and is based on a systemic and structural approach and draws on, among others, the following areas of scientific literature: issues of development of digital and software platforms, application of ABM in decision support and decision-making systems, digital and spatial economics, application of agent-based multiregional input-output models for analyzing the Russian economy. …”
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Investigating Feed-Forward Back-Propagation Neural Network with Different Hyperparameters for Inverse Kinematics of a 2-DoF Robotic Manipulator: A Comparative Study by Rania Bouzid, Jyotindra Narayan, Hassène Gritli

“…To accomplish this, we first formed three input-output datasets (a fixed-step-size dataset, a random-step-size dataset, and a sinusoidal-signal-based dataset) of joint positions and their respective Cartesian coordinates using direct geometrical formulations of a two-degree-of-freedom (2-DoF) manipulator. …”
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Economic impacts of floods in China and adaptation strategies under climate change by Ying Xue, Jun Xia, Yuan Liu, Lei Zou

“…This study used the Adaptive Regional Input–Output model to comprehensively assess the economic impacts of the July 2021 Henan flood, with a main focus on indirect economic losses (IELs) that are often underestimated in traditional assessments. …”
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Electroacupuncture Increases the Hippocampal Synaptic Transmission Efficiency and Long-Term Plasticity to Improve Vascular Cognitive Impairment by Yaling Dai, Yuhao Zhang, Minguang Yang, Huawei Lin, Yulu Liu, Wenshan Xu, Yanyi Ding, Jing Tao, Weilin Liu

“…Electrophysiological techniques were used to detect the field characteristics of the hippocampal CA3–CA1 circuit in each group of rats, including input-output (I/O), paired-pulse facilitation ratios (PPR), field excitatory postsynaptic potential (fEPSP), and excitatory postsynaptic current (EPSC). …”
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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

“…RBFNN is a three-layer network comprising of input, output, and hidden layers that can process large amounts. …”
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An Adaptive X‐Ray Dynamic Image Estimation Method Based on OMNI Solar Wind Parameters and SXI Simulated Observations by R. C. Wang, Anders M. Jorgensen, Dalin Li, Tianran Sun, Zhen Yang, Xiaodong Peng

“…The method's flexibility, considering input‐output consistency, enables easy extension to any interval (>3 min), meeting diverse application needs. …”
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ESO-Based Direct Model-Free Adaptive Predictive Compensation Control for Permanent Magnet Synchronous Motors by Yang Liu, Guangxu Zhou, Lei Guo, Zibo Sun

“…Moreover, utilizing only the PMSM system&#x2019;s input/output (I/O) data, the proposed ESO-dMFAPCC is purely data-driven and exhibits strong robustness against external disturbances. …”
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Kinetics, central composite design and artificial neural network modelling of ciprofloxacin antibiotic photodegradation using fabricated cobalt-doped zinc oxide nanoparticles by Asmaa I. Meky, Mohamed A. Hassaan, Mohamed A. El-Nemr, Howida A. Fetouh, Amel M. Ismail, Ahmed El Nemr

“…The backpropagation technique was used to train the networks with 152 input-output patterns. After experimenting with various configurations, the best results with a correlation value (R 2) of 0.9780 for data validation were obtained using a three-hidden layered network that included five, five, and eight neurons, respectively.…”
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Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling by R. J. O'Loughlin, D. Li, R. Neale, T. A. O'Brien, T. A. O'Brien

“…We propose three types of understanding as a basis to evaluate trust in dynamical and AI models alike: (1) instrumental understanding, which is obtained when a model has passed a functional test; (2) statistical understanding, obtained when researchers can make sense of the modeling results using statistical techniques to identify input–output relationships; and (3) component-level understanding, which refers to modelers' ability to point to specific model components or parts in the model architecture as the culprit for erratic model behaviors or as the crucial reason why the model functions well. …”
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