Correlation between Wages and House Prices: an Analysis of Regional Differences in the Czech Republic by Crnadak, Oskar

“…The model includes lagged house price values to better capture market dynamics over time. Interaction terms between wages and regions allow for the detection of region-specific effects. …”
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Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers by Camilo E. Valderrama, Camilo E. Valderrama, Anshul Sheoran

“…ConclusionThese results emphasize the importance of capturing relevant electrical activity from these EEG channels, thereby facilitating the prediction of emotions evoked by audiovisual stimuli in subject-independent approaches.…”
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Smartphone-based health monitoring in India: Data collection and evaluation for pulse rate estimation by Achal Shetty, Sanjana S. Narasimhamurthy, KS Nataraj, Srilakshmi M. Prabhu, Neha Jagadeesh, Kunal Katre, Sumit Kumar, Neelesh Kapoor, Sudhir P. Haladi, Sankalp Gulati

“…Conclusion: Results indicate that the smartphone-based PPG signal captures sufficient information of the cardiac cycle to reliably estimate the pulse rate. …”
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Automated potato tuber mass estimation and grading with multiangle 2D images by Ayush K. Sharma, Lincoln Zotarelli, Alina Zare, Lakesh K. Sharma

“…Physical data of potato tubers from 23 different cultivars were collected, and their 2D images were captured under controlled light conditions from top and side angles. …”
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Australian compilation of seismic-derived bathymetry by Ulysse Lebrec, Victorien Paumard, Juliette Denudt, Catherine Du Réau, Simon C. Lang, Julien Bailleul

“…A comparison of the seismic-derived bathymetry with multibeam echosounder surveys suggests that where a thin layer of loose sediments overlies a lithified substratum, the seismic first return captures the top of the substratum.…”
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An Inverted Residual Cross Head Knowledge Distillation Network for Remote Sensing Scene Image Classification by Cuiping Shi, Mengxiang Ding, Liguo Wang

“…First, an inverted residual attention module is designed to extract and leverage both local and global information effectively, enhancing the model's ability to capture complex details while retaining contextual information. …”
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Dual graph-embedded fusion network for predicting potential microbe-disease associations with sequence learning by Junlong Wu, Liqi Xiao, Liu Fan, Lei Wang, Xianyou Zhu, Xianyou Zhu

“…The DuGEL model leverages the strengths of graph convolutional neural network (GCN) and graph attention network (GAT), ensuring that both local and global relationships within the microbe-disease association network are captured. The integration of the Long Short-Term Memory Network (LSTM) further enhances the model’s ability to understand sequential dependencies in the feature representations. …”
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On-site quantitative detection of fentanyl in heroin by machine learning-enabled SERS on super absorbing metasurfaces by Yingkun Zhu, Haomin Song, Ruiying Liu, Yunyun Mu, Murali Gedda, Abdullah N. Alodhay, Lei Ying, Qiaoqiang Gan

“…Our method precisely captured SERS signals across a detection range of 1–100 μg/mL in fentanyl solutions, fentanyl-heroin mixtures, and fentanyl-spiked saliva, demonstrating its versatility and practical utility. …”
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Effect mechanism of H3PO4 on the formation and transformation of persistent free radicals in biochar by Yajie Gao, Yuan Gao, Aimin Li

“…Yet, H3PO4 reduced PFRs in biochar at high pyrolysis temperature (≥ 500 °C), since the capture of H∙ or HO∙ by PO∙ and the steric hindrance changed by H3PO4, which caused the rearrangement and polycondensation of carbon structure. …”
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Synchronization-based graph spatio-temporal attention network for seizure prediction by Jie Xiang, Yanan Li, Xubin Wu, Yanqing Dong, Xin Wen, Yan Niu

“…In recent years, a large number of studies have been conducted using deep learning models on epileptic open electroencephalogram (EEG) datasets with good results, but due to individual differences there are still some subjects whose seizure features cannot be accurately captured and are more difficult to differentiate, with poor prediction results. …”
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The dependency structure of international commodity and stock markets after the Russia-Ukraine war. by Cheng Zhang, Shuo Liu, Mimi Qin, Bin Gao

“…In recent years, the international community has witnessed many crisis events, and the Russia-Ukraine war, which broke out on 24th February 2022, has increased international policy uncertainty and impacted the current world commodity and financial markets. Thus, we try to capture how the Russia-Ukraine war has affected the correlation structure of international commodity and stock markets. …”
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Eye-tracking dataset of endoscopist-AI teaming during colonoscopy: Retrospective and real-time acquisition by Yan Zhu, Rui-Jie Yang, Pei-Yao Fu, Zhen Zhang, Yi-Zhe Zhang, Quan-Lin Li, Shuo Wang, Ping-Hong Zhou

“…A common limitation of existing studies is their reliance on retrospective video clips, which fail to capture the dynamic demands of real-time colonoscopy, where endoscopists must simultaneously navigate the colonoscope and identify lesions on the screen. …”
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Microgrid Islanding Detection Using D-PMU and Phase Angle Analysis of Negative Sequence Impedance by Asim Chaulagain, Ramakrishna Gokaraju, Nurul Chowdhury, Krish Narendra

“…Unlike past literature that uses only the phase angles of voltage and current sequence components for islanding detection, this method is more effective, as the phase angle of impedance captures the overall effects of resistance and reactance, which offers a clearer understanding of electrical behavior during disturbances. …”
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A BIBLIOMETRIC ANALYSIS OF VIDEO-BASED FEEDBACK IN HIGHER EDUCATION (2003-2022): TRENDS, GAPS AND FUTURE DIRECTIONS by Nagaletchimee Annamalai, Arathai Din Eak

“… Purpose – Video-based feedback presents a unique approach characterised by a conversational narrative and instructor screen captures, enriching students' learning experiences and fostering stronger instructor-student connections. …”
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TEACHING COMPUTATIONAL THINKING IN SAUDI ARABIAN SCHOOLS USING SMARTPHONE APPS by Abdullah Alenezi

“…These findings are valuable for the Saudi context for policy and teaching enhancement, signaling the need to provide more resources in digital tools and invest in the professional development of teachers to capture the virtues of advanced technology in improving learners’ performance. …”
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From utility to imperial propaganda: (Re)discovering a milestone of Constantine I from the vicinity of Bona Mansio and emporion Pistiros and its significance for the study of the ‘... by Emil Nankov

“…The diachronic analysis of other milestones found in the region allows us to capture the milestone’s evolving function as a medium of communication between the imperial administration and its subjects within the 3rd and the 4th centuries AD; from a road accessory providing practical information to travellers into an administrative tool displaying imperial propaganda. …”
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AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO by Ngoc Giau Pham, Nhien Loc Bui, Quang Hien Tran, Le Thanh Hai Tong, Hong Ngoc Tran

“…This device is capable of capturing video and executing AI algorithms for real-time analysis, thereby deriving crucial data for IoT decision-making processes. …”
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Leveraging transformer models to predict cognitive impairment: accuracy, efficiency, and interpretability by Kai Ma, Junzhi Zhang, Xinhang Huang, Mengyang Wang

“…Methods The Transformer integrates categorical (integer-encoded) and continuous (floating-point) data, using multi-head attention with four heads to capture complex relationships. Preprocessing involved separate embedding layers for categorical data and feed-forward networks for continuous data. …”
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Experimental investigation and scenario-based optimization of energy flexibility in embedded radiant cooling systems by Yun Xie, Yanxue Li, Hongshe Cui

“…The state-space model was identified as the most accurate and reliable model for capturing system thermodynamics. Scenario-based Model Predictive Control (MPC) energy managements were designed and evaluated optimized results. …”
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Fitting and comparison of calcium-calmodulin kinetic schemes to a common data set using non-linear mixed effects modelling. by Domas Linkevicius, Angus Chadwick, Guido C Faas, Melanie I Stefan, David C Sterratt

“…There are many computational models of calcium-calmodulin binding that capture various calmodulin features. However, existing models have generally been fit to different data sets, with some publications not reporting their training and validation performance. …”
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