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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Feasibility of Long-Term Physical Activity Measurement With a Wearable Activity Tracker in Patients With Axial Spondyloarthritis: 1-Year Longitudinal Observational Study by Emil Eirik Kvernberg Thomassen, Anne Therese Tveter, Inger Jorid Berg, Eirik Klami Kristianslund, Andrew Reiner, Sarah Hakim, Laure Gossec, Gary J Macfarlane, Annette de Thurah, Nina Østerås

“…The activity tracker measured steps and heart rate. Trial feasibility (eligibility, inclusion rate, and patient characteristics), technical feasibility (data recorded, tracker adherence, ie, days worn, and missing data), and operational feasibility (synchronization reminders and tracker replacements) were analyzed. …”
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Analysis of complex chromosomal structural variants through optical genome mapping integrated with karyotyping by Xiaoxi Zhu, Huiling Zheng, Xue Wan, Hang Duan, Ying Qi, Weijia Tang, Fan Yang, Fan Yang, Limei Yu, Limei Yu

“…This advancement substantially enhances the diagnostic rates of genetic etiology in patients experiencing RSA. …”
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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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Business Intelligence Model of Regional Hospitals using HGOD Discovery by Hengki Hengki, Rahmat Gernowo, Oky Dwi Nurhayati

“…Based on data from the Regional General Hospital in the Bangka Belitung Islands province, the Gross Death Rate (GDR) is the general death rate for every 1000 patients discharged of 108,430 compared to the health department standard of <45. …”
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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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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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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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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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Statistical analysis of labor market trends of post-soviet countries in 1990–2020 by M. N. Tolmachev, A. P. Tsypin

“…The availability and quality of the labor force are considered as ones of the main aspects of labor market regulation, its parameters largely depend on the growth rate of the economy and the growth of people’s well-being. …”
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Reinforcement Learning-Based Generative Security Framework for Host Intrusion Detection by Yongsik Kim, Su-Youn Hong, Sungjin Park, Huy Kang Kim

“…Attackers create more complicated attack patterns and configure attack behavior to resemble normal behavior to evade detection by defenders. …”
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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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Accurate hourly AQI prediction using temporal CNN-LSTM-MHA+GRU: A case study of seasonal variations and pollution extremes in Visakhapatnam, India by Sreenivasulu T, Mokesh Rayalu G

“…The framework amalgamates one-dimensional Convolutional Neural Networks (1D CNN) for the extraction of short-term patterns, Long Short-Term Memory (LSTM) integrated with Multi-Head Attention (MHA) to encapsulate long-term dependencies, and Gated Recurrent Unit (GRU) for the refinement of residual errors. …”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia by Badr T. Alsulami, Afaq Khattak

“…These IMFs are individually forecasted using Bidirectional Gated Recurrent Unit (BiGRU) models, which are capable of learning sequential patterns in both temporal directions. …”
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Memory-augment graph transformer based unsupervised detection model for identifying performance anomalies in highly-dynamic cloud environments by Huangyining Gao, Ruyue Xin, Peng Chen, Xi Li, Ning Lu, Peng You

“…Additionally, we introduce a novel dynamic gated memory module to guide the Transformer encoder in extracting hidden features, thereby enhancing the model’s robustness to varying data patterns in dynamic cloud environments. …”
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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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Improving phenological event identification in trees using manually measured dendrometer data: conventional approaches vs. the novel two-stage threshold approach by Przemysław A. Jankowski, Przemysław A. Jankowski, Rafael Calama, Jorge Aldea, Matías García, Guillermo Madrigal, Marta Pardos

“…The method’s reliance on direct growth rate transitions, rather than smoothed curves or arbitrary percentiles, reduced errors associated with hydration-related stem fluctuations. …”
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