Beyond negative valence: 2-week administration of a serotonergic antidepressant enhances both reward and effort learning signals. by Jacqueline Scholl, Nils Kolling, Natalie Nelissen, Michael Browning, Matthew F S Rushworth, Catherine J Harmer

“…Our results highlight both a specific function in learning for serotonin and the importance of studying its role across longer timescales.…”
Get full text

Diagnostic accuracy of heart rate variability as a screening tool for mild neurocognitive disorder by Julia Czopek-Rowinska, Eling D. de Bruin, Eling D. de Bruin, Eling D. de Bruin, Patrick Manser, Patrick Manser

Get full text

MULTIMODALITY IN THE ENGLISH TEXTBOOK IMAGES : GENDER REPRESENTATION ANALYSIS by Fithrah Nurul Hidayah, Maslathif Dwi Purnomo, Sholihatul Hamidah Daulay

Get full text

A Combined Diffusion Model and Reinforcement Learning Approach for Solving the Vehicle Routing Problem With Multiple Soft Time Windows by Yu Qiao, Jianjun Miao, Xiaoying Huang

“…Subsequently, the RL module fine-tunes these paths by optimizing the objective function, which minimizes the number of vehicles, travel distance, and time window penalties. …”
Get full text

Assessing the three-dimensional vegetation carbon sink of urban green spaces using unmanned aerial vehicles and machine learning by Wei Wei, Junqiao Li

“…By integrating vegetation allometric growth equations, this paper introduces a novel methodology for assessing the carbon sink function of urban green spaces using UAV-based modeling and machine learning techniques for feature recognition. …”
Get full text

A VYGOTSKIAN PERSPECTIVE ON MULTICULTURAL EDUCATION: A SOCIAL-BASED LEARNING PROCESS IN THE MINANGKABAU COMMUNITY, WEST SUMATRA, INDONESIA by Isnarmi Moeis, Junaidi Indrawadi, Zaenuddin Hudi Prasojo, Fatmariza, Rika Febriani

“…Multicultural education and local wisdom function as crucial social assets in promoting unity within diverse societies. …”
Get full text

A machine learning framework for predictive electron density modelling to enhance 3D NAND flash memory performance by Dikendra Verma, Upendra Mohan Bhatt, Anurag Vidyarthi

“…However, polycrystalline silicon and grain boundaries offer issues that greatly affect memory performance in terms of string current and Program-Erase Threshold Voltage window (Vt –Window). Scientists need to learn more about how grain size, channel thickness, and trap density affect electron behaviour to improve the efficiency of memory chips. …”
Get full text

Synchronized stepwise control of firing and learning thresholds in a spiking randomly connected neural network toward hardware implementation by Kumiko Nomura, Yoshifumi Nishi

“…Therefore, we propose hardware-oriented models of these functions. To implement the function of IP, a variable firing threshold is introduced to each excitatory neuron in the RNN that changes stepwise in accordance with its activity. …”
Get full text

Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios by Ping He, Xiongwei Huang, Ruobing He, Linkun Yuan

“…By incorporating a maximum entropy approach, it enhances the robustness of conventional deep reinforcement learning and integrates dominance learning to refine Soft Actor-Critic’s Q-value function update, mitigating overestimation issues and boosting algorithmic performance. …”
Get full text

Challenges in Unifying Physically Based and Machine Learning Simulations Through Differentiable Modeling: A Land Surface Case Study by Shahryar K. Ahmad, Sujay V. Kumar, Clara Draper, Rolf H. Reichle

“…Abstract Differentiable geoscientific modeling has shown promise for leveraging machine learning (ML) to unify physically based and data‐based modeling. …”
Get full text

Study on soil moisture estimation using a three-frequency combination of observations integrated with robust estimation and machine learning by Yintao Liu, Chao Ren, Hongjuan Shao

Get full text

Learning physics and temporal dependencies: real-time modeling of water distribution systems via Kolmogorov–Arnold attention networks by Zekun Zou, Zhihong Long, Gang Xu, Raziyeh Farmani, Tingchao Yu, Shipeng Chu

Get full text

Frequency-Voltage Digital Intelligent Control Strategy of Microgrid with User-Side Energy Storage Based on Deep Q-Learning by Rihui LIN, Youli CHEN

“…With the real-time frequency deviation and voltage deviation of the system and the upper and lower limit constraints of the output power of user-side energy storage as the state space and the output of each unit in the system as the action space, a global reward function including two local rewards is designed on the basis of the two control objectives of frequency and voltage. …”
Get full text

Smartphone tests quantify lower extremities dysfunction in multiple sclerosis by Kimberly Jin, Peter Kosa, Bibiana Bielekova

“…Combining strong, reliable digital features using machine learning resulted in models that outperformed predictive power of best individual digital biomarkers in an independent validation cohort.DiscussionNeuFun-TS tests provide reliable digital biomarkers of lower extremity motor functions.…”
Get full text

Evaluating Machine Learning Models for Predicting Hardness of AlCoCrCuFeNi High-Entropy Alloys by Uma Maheshwera Reddy Paturi, Muhammad Ishtiaq, Pasupuleti Lakshmi Narayana, Anoop Kumar Maurya, Seong-Woo Choi, Nagireddy Gari Subba Reddy

“…Among the ML methods explored, a backpropagation neural network (BPNN) model with a sigmoid activation function exhibited superior predictive accuracy compared to other algorithms. …”
Get full text

A Construction and Representation Learning Method for a Traffic Accident Knowledge Graph Based on the Enhanced TransD Model by Xiaojia Liu, Haopeng Wu, Dexin Yu, Yunjie Chen, Hao Wu

“…Our model introduces entity–attribute projection vectors into the dynamic mapping mechanism to explicitly encode domain attributes, and designs a dual-limit scoring loss function to independently regulate the positive and negative sample boundaries. …”
Get full text

A deep learning approach: Physics-informed neural networks for solving the 2D nonlinear Sine–Gordon equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…To include all the physical information of a PDE in to the learning process, we considered a multi-objective loss function that takes into account the problem PDE residual, the initial condition residual, and the boundary condition residual. …”
Get full text

An Efficient Model for Leafy Vegetable Disease Detection and Segmentation Based on Few-Shot Learning Framework and Prototype Attention Mechanism by Tong Hai, Yuxin Shao, Xiyan Zhang, Guangqi Yuan, Ruihao Jia, Zhengjie Fu, Xiaohan Wu, Xinjin Ge, Yihong Song, Min Dong, Shuo Yan

“…This study proposes a model for leafy vegetable disease detection and segmentation based on a few-shot learning framework and a prototype attention mechanism, with the aim of addressing the challenges of complex backgrounds and few-shot problems. …”
Get full text

Stock portfolio optimization using hill climbing and simple human learning optimization algorithms as a decision support system by Suyash S. Satpute, Amol C. Adamuthe, Pooja Bagane

Get full text

Analisis Tingkat Penerimaan Sistem E-Learning menggunakan Blog Gratis sebagai Alternatif Media Pembelajaran pada Guru by Faizatul Amalia, Adam Hendra Brata, Rizki Tri Sulistyo, Andre Diofanu

“…This is because the function of the blog not only for posting news or information but the reader can provide advice related to the content or ask the blogger. …”
Get full text