A Practical Approach for Predicting Power in a Small-Scale Off-Grid Photovoltaic System using Machine Learning Algorithms by Aadyasha Patel, O. V. Gnana Swathika, Umashankar Subramaniam, T. Sudhakar Babu, Alok Tripathi, Samriddha Nag, Alagar Karthick, M. Muhibbullah

“…An Internet of Things platform is used to store and visualize the captured data from a standalone photovoltaic system. …”
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Influence maximization under imbalanced heterogeneous networks via lightweight reinforcement learning with prior knowledge by Kehong You, Sanyang Liu, Yiguang Bai

“…In this work, we introduce the Lightweight Reinforcement Learning algorithm with Prior knowledge (LRLP), which leverages the Struc2Vec graph embedding technique that captures the structural similarity of nodes to generate vector representations for nodes within the network. …”
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Typhoon localization detection algorithm based on TGE-YOLO by Lan He, Ling Xiao, Peihao Yang, Sheng Li

“…Finally, the Efficient Intersection over Union (EIoU) loss function is improved to enhance its sensitivity to positional errors and optimize the error distribution, thereby improving the model’s accuracy in capturing the position at the center of the typhoon. …”
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Resisting scientific extractivism: A post-extractivist policy of knowledge production with marginalized communities by Baptiste Godrie

“… This article analyses scientific extractivism as a research process in which the experiences, discourses and knowledge of members of marginalised social groups are subalternised, i.e. reduced to raw data appropriated by academics. What has been captured and assimilated is then largely reinjected into closed circuits operating essentially between academics, from which marginalised communities are largely excluded. …”
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Cyclic Training of Dual Deep Neural Networks for Discovering User and Item Latent Traits in Recommendation Systems by Dohyoung Rim, Sirojiddin Nuriev, Younggi Hong

“…By cyclically refining these traits through two interconnected DNNs, CDLD effectively captures the non-linear relationships between them. …”
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Numerical Investigation of Timber Log-Haus Walls with Steel Dovetail Reinforcements under In-Plane Seismic Loads by Chiara Bedon, Massimo Fragiacomo

“…In particular, taking advantage of past experiments carried out on small-scale joint specimens, as well as past 3D numerical efforts for the same structural typology (unreinforced assemblies), full 3D solid models are described in ABAQUS to assess the potential of steel dovetail profiles, as well as to capture possible issues. Numerical simulations are proposed both for small-scale specimens and full log-haus assemblies, being representative of the actual loading and boundary conditions for log-haus walls as part of a real building. …”
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Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images by Taraneh Mirgheidari, Behzad Rayegani, Javad Bodagh-Jamali

“…Also In-situ data were collected Simultaneously with the capture of satellite images in August 2014. Then, the relationships between the water quality parameters and MODIS data, with (R2) from 0.59 to 0.94 and (RMSE) from 0.07 to 0.1 were obtained. …”
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A Combined Model for Simulating the Spatial Dynamics of Epidemic Spread: Integrating Stochastic Compartmentalization and Cellular Automata Approach by Murad Bashabsheh

“…Alternatively, CA as individual dynamic systems can capture the spatial and temporal pattern of the epidemics through local near-neighbor interactions. …”
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DFCNformer: A Transformer Framework for Non-Stationary Time-Series Forecasting Based on De-Stationary Fourier and Coefficient Network by Yuxin Jin, Yuhan Mao, Genlang Chen

“…Time-series data are widely applied in real-world scenarios, but the non-stationary nature of their statistical properties and joint distributions over time poses challenges for existing forecasting models. …”
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Intensive care nurses’ experiences of teamwork during the covid-19 pandemic. a qualitative study. by Jeanette Eckerblad, Åsa Dorell, Helen Conte

“…Results The intensive and critical care nurses’ experiences during the first 18 months of the Covid-19 pandemic captured chronological and conceptual commonalities, which were represented in three themes, “Losing the security of the ICU team”, “Having time to adapt and finding structure for collaborative work”, and “Gaining professional growth through adapting collaborative work to contextual challenges”. …”
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Mortality evolution in Cienfuegos province, 2010-2019 by Yenisvel Yut Vidal, Yadira Sarría Zerquera, Evangelina Dávila Cabo de Villa

“…<p><strong>Background:</strong> the mortality study, as well as its change over time, is of vital importance, since it allows us to capture progress and setbacks in health.<br /><strong>Objective:</strong> to characterize the behavior of mortality in the Cienfuegos province.…”
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Grand Canonical Monte Carlo simulations of the Hydrogen and Methane storage capacities of a novel Co-MOF by A. Granja-DelRío, I. Cabria

“…Given that Co-based MOF has been relatively unexplored for gas adsorption, this study provides a foundation for further research into their potential for broader industrial applications, including energy storage and environmental gas capture.…”
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Predicting the onset of chronic kidney disease (CKD) for diabetic patients with aggregated longitudinal EMR data. by Neda Aminnejad, Michelle Greiver, Huaxiong Huang

“…We leverage aggregated EMR data to effectively capture relevant information within the observation year instead of using temporal EMR data. …”
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DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

“…However, due to the variability in scale and shape of PV installations in complex environments, the detection results often fail to capture detailed information and struggle to scale for multi-scale PV systems. …”
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Planting Seeds of Change in Foodstyles: Growing Brand Strategies to Foster Plant-Based Alternatives Through Online Platforms by Gino Gabriel Bonetti, Chelsea van Hooven, Maria Giovanna Onorati

“…In addition, through in-depth interviews with selected companies, the study investigates the entry methods of startups venturing into the German market, aiming to identify parallels and contrasts in market strategies with established brands. …”
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The Impact of Stokvel and Banking Sector Efficiency: an Econometrics Model using (ARDL) Approach to Cointegration by Ngcobo, Lindiwe

“…Aim: The aims are to attempts to capture the relationship between stokvel and banking sector development across its proxy of banking sector efficiency. …”
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Paediatric one-day admission: why and is it necessary? by Jing Zhan Lock, Zi Xean Khoo, Jen Heng Pek

“…An unnecessary admission was defined as one with no diagnostic test ordered, intravenous medication administered, therapeutic procedure performed or specialty review made in the inpatient unit. Data were captured in a standardised form and analysed. Results: There were 13,944 paediatric attendances — 1,160 (8.3%) paediatric patients were admitted. …”
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Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video by Qingjie Chen, Minkai Dong

“…Its function is to implement real-time monitoring, real-time video capture, and detection of objects in the target area and store information that users are interested in as an important basis for exercise. …”
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Assessment of bias correction methods for high resolution daily precipitation projections with CMIP6 models: A Canadian case study by Xinyi Li, Zhong Li

“…QDM and SDM substantially enhance the performance of individual GCMs, which reduces RMSE by 26 % and 21 %, and shows satisfactory skill in capturing seasonal cycle and spatial variability as well as reproducing probability distribution of daily series and extreme events. …”
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Numerical Investigation on Head and Brain Injuries Caused by Windshield Impact on Riders Using Electric Self-Balancing Scooters by Shi Shang, Yanting Zheng, Ming Shen, Xianfeng Yang, Jun Xu

“…Impact kinematic postures of the head-windshield contact under various impact conditions are captured. Then, the processes during head-windshield contact are reconstructed using validated FE head/laminated windshield models to assess the severity of brain injury caused by the head-windshield contact. …”
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