Tree seed dispersal modes affect forest resilience along savanna-forest boundaries by Max van der Ree, Gerard T Barkema, Arie Staal

“…We find that forest recruitment rate and resilience are more sensitive to forest pattern morphology when trees are dispersed by birds than by wind. …”
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Functional Connectivity Biomarker Extraction for Schizophrenia Based on Energy Landscape Machine Learning Techniques by Janerra D. Allen, Sravani Varanasi, Fei Han, L. Elliot Hong, Fow-Sen Choa

“…Schizophrenia is associated with impaired functional connectivity but characterizing the complex abnormality patterns has been challenging. In this work, we used resting-state functional magnetic resonance imaging (fMRI) data to measure functional connectivity between 55 schizophrenia patients and 63 healthy controls across 246 regions of interest (ROIs) and extracted the disease-related connectivity patterns using energy landscape (EL) analysis. …”
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Comparison of blue laser imaging and light‐emitting diode‐blue light imaging for the characterization of colorectal polyps using the Japan narrow‐band imaging expert team classific... by Masahiro Okada, Naohisa Yoshida, Hiroshi Kashida, Yoshikazu Hayashi, Satoshi Shinozaki, Shiori Yoshimoto, Toshihiro Fujinuma, Hirotsugu Sakamoto, Keijiro Sunada, Yuri Tomita, Osamu Dohi, Ken Inoue, Ryohei Hirose, Yoshito Itoh, Yoriaki Komeda, Ikue Sekai, Natsuki Okai, Alan Kawarai Lefor, Hironori Yamamoto

“…The surface patterns, vessel patterns, and brightness are almost similar.…”
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Enhancing agricultural commodity price forecasting with deep learning by R. L. Manogna, Vijay Dharmaji, S. Sarang

“…The results indicate that deep learning models, particularly Long Short-Term Memory (LSTM) networks and Gated Recurrent Units (GRU), demonstrate superior performance in capturing complex temporal patterns. …”
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Anomaly detection of smart grid stealing network attacks based on deep autoencoder by Huang Yan, Li Jincan, Yang Xiaqin, Li Pei, Li Zi

“…Simulation results demonstrate that the detector with an attention mechanism (AEA) achieves a 4%~21% higher detection rate and a 4%~13% lower false alarm rate compared to the best-performing existing detectors.…”
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Acoustical Enrichment during Early Development Improves Response Reliability in the Adult Auditory Cortex of the Rat by Zbyněk Bureš, Kateryna Pysanenko, Jiří Lindovský, Josef Syka

“…Here, we show that rearing rat pups in a complex acoustically enriched environment leads to an increased reliability of responses of AC neurons, affecting both the rate and the temporal codes. For a repetitive stimulus, the neurons exhibit a lower spike count variance, indicating a more stable rate coding. …”
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Personal identification based on acoustic characteristics of outer ear using cepstral analysis, Bayesian classifier, and artificial neural networks by Alexey Sulavko, Alexander Samotuga, Irina Kuprik

“…Obtained echograms can be used as biometric patterns for identification and authentication of subjects. …”
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The role of city parks in creating ‘wellbeing societies’: A case study of Piłsudski Park in Łódź, Poland by Melanie Kay Smith, Joanna Kowalczyk-Anioł, Jakub Janiszewski, Karolina Grabarczyk

“…The research utilizes a questionnaire-based survey of 238 park users to explore patterns of park use, motivations for visiting and perceived wellbeing benefits. …”
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Federated hierarchical MARL for zero-shot cyber defense. by Adel Alshamrani

“…It achieves a high detection rate of 94.2% for known attacks and 82.7% for zero-day exploits, while maintaining a low false positive rate of 3.8%. …”
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An Improved YOLOv5 Model for Lithographic Hotspot Detection by Mu Lin, Wenjing He, Jiale Liu, Fencheng Li, Jun Luo, Yijiang Shen

“…In this paper, we propose a hotspot detection method to improve the precision and recall rate of the fatal pinching and bridging error due to the poor printability of certain layout patterns by embedding a spatial attention mechanism into the YOLOv5 model. …”
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An FPGA-Based Training System for a 1T1R Memristor Array With 500 nS Conductance Resolution Limit by Liujie Li, Chuantong Cheng, Beiju Huang, Ke Ding, Yuxin Li, Ganggang Guo

“…In this research, we propose a training system based on a field programmable gate array (FPGA) to precisely modulate the conductance states of the 1T1R memristor arrays. …”
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How prevalent is the cross-disciplinary career transition? Evidence from a multi-dimensional comparative analysis by Tongyang Zhang, Chao Yu, Dong Zhang, Jian Xu

“…However, studies on the prevalence of career transitions in different disciplinary areas are rare, especially those investigating the patterns of disciplinary changes accompanied by career transitions. …”
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Googling Patients by Emily Beer

“…Numerous wearable devices collect data on consumers’ heart rates, exercise patterns and sleep patterns. In-home smart devices can track when users are active and what they are doing in their homes. …”
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Intercropping-driven effects on soil organic carbon mineralization and its temperature sensitivity are associated with soil C-N-P stoichiometry and carbon-acquiring microorganisms... by Ziyu Yang, Jinmeng Hu, Xiaowei Chen, Yuping Zhang, Yizhe Wang, Jianwei Peng, Jiangchi Fei, Gongwen Luo, Chaolin Liao

“…Herein, an eight-year field-based experiment with maize monoculture and four intercropping patterns was employed to investigate the intercropping-induced change in the SOC mineralization rate and its temperature sensitivity (Q10). …”
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Effects of Heat Transfer Characteristics of R32 and R1234yf with Al2O3 Nanoparticle through U-Bend Tube Evaporator by Latifur Islam, Dipayan Mondal, Md. Ashraful Islam, Palash Das

“…After the bend, the frictional pressure drop increased at a higher rate than before the bend, and the vapor fraction increased at a higher rate.…”
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Unobtrusive stress detection using wearables: application and challenges in a university setting by Peter Neigel, Andrew Vargo, Benjamin Tag, Koichi Kise

“…We identify potential stress patterns by observing elevated waking heart rate (HR) and maximum waking HR, supported by related metrics such as sleep HR, sleep heart rate variability (HRV), activity patterns, and sleep phases.ResultsThe physiological changes align with significant academic and societal events, indicating a strong link to stress.DiscussionOur findings demonstrate the potential of consumer wearables to detect collective changes in stress biomarkers within a cohort using in-the-wild data, i.e., data that is noisy and has gaps. …”
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Geospatial technology based shoreline change analysis (1992–2022) and predictive forecast modeling for 2032 and 2042, utilizing DSAS, along the eastern coast of India by Harikrishna S., Gurugnanam B., Bairavi S.

“…The study found that the maximum erosion in the study area is 4.1 m/yr (end point rate (EPR)) and 4.21 m/yr (linear regression rate (LRR)) at the Maravakkadu coastal region, and the maximum accretion is 3.75 m/yr (EPR) and LRR of 4.12 m/yr at the Mettupalayam coast. …”
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Whisper Automatic Speech Recognition and GPT Large Language Models as Best Practice for Assessing Communication Progress in Autism Spectrum Disorder by Naela Fauzul Muna, Mukhammad Andri Setiawan

“…Whisper achieved a low Word Error Rate (WER) for mild autism (average 5%) and a higher rate for moderate autism (average 23%). …”
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Tensile Fracture Behavior of Corroded Pipeline: Part 1—Experimental Characterization by Yuchao Yang, Feng Liu, Feng Xi

“…The comparative analysis based on the macroscopic stress-strain relationship shows that the rapid decrease of the yield stress, ultimate strength, and strain at the fracture for corroded pipe are correlated with the fracture patterns; i.e., the fracture patterns of pipe are changed from uniform to scattered with the continuous increase of the corrosion rate. …”
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Tensile strength and elongation prediction for pulsed current gas tungsten arc welded AISI 4135 steel by auto-associative memory network by Efezino McCarthy Elutabe, Sunday Ayoola Oke, John Rajan, Swaminathan Jose

“…The parameters investigated include gas flow rate, base current, welding speed, and peak current. …”
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