Urine Metabolomic Patterns to Discriminate the Burnout Levels and Night-Shift-Related Stress in Healthcare Professionals by Andreea Petra Ungur, Andreea-Iulia Socaciu, Maria Barsan, Armand Gabriel Rajnoveanu, Razvan Ionut, Carmen Socaciu, Lucia Maria Procopciuc

“…<b>Purpose</b>: Comparative evaluation of urine metabolite patterns that may discriminate the burnout levels and the effects of night shifts on healthcare professionals. …”
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Relationship of Community Mobility, Vital Space, and Faller Status in Older Adults by Diego Robles Cruz, Andrea Lira Belmar, Anthony Fleury, Méline Lam, Rossana M. Castro Andrade, Sebastián Puebla Quiñones, Carla Taramasco Toro

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Highly Accurate Brain Tumor Segmentation and Classification Using Multiple Feature Sets by Megha Sunil Borse, Murali Prasad R, Tummala Ranga Babu

“…Statistical and Local Binary Patterns (LBP) features are extracted from the preprocessed images to perform the classification process. …”
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Artificial intelligence and machine learning techniques for suicide prediction: Integrating dietary patterns and environmental contaminants by Mayyas Al-Remawi, Ahmed S.A. Ali Agha, Faisal Al-Akayleh, Faisal Aburub, Rami A. Abdel-Rahem

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Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study by Peter Hill, Daniel Jonsson, Jakob Lederman, Peter Bolin, Veronica Vicente

“…Multiple ML models, random forest, gradient boosting, neural networks, and logistic regression were trained to probe potential nonlinear patterns and interactions, not with the primary goal of predictive accuracy. …”
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Fault diagnosis of micro gas turbine using a hybrid scheme of thermodynamic analysis and artificial neural network by S.S. Talebi, A. Madadi, A.M. Tousi

“…An artificial neural network is used to recognize the pattern of noisy transformed variables and find the faulty component. …”
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Deep Learning-Driven Beam-Steering for Dual-Polarized 28 GHz Antenna Arrays in 5G Wireless Networks by Siti Zainab M. Zainab Hamzah, Norun Farihah Abdul Malek, Sarah Yasmin Mohamad, Farah Nadia Mohd Isa, Teddy Surya Gunawan, Kuo-Sheng Chin

“…We propose a method for synthesizing the array antenna&#x2019;s radiation pattern using an active element pattern-deep neural network (AEP-DNN). …”
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Energy-Efficient Islanding Detection Using CEEMDAN and Neural Network Integration in Photovoltaic Distribution System by Sulayman Kujabi, Emmanuel Asuming Frimpong, Francis Boafo Effah

“…This paper proposes an enhanced islanding detection method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and a pattern recognition neural network (PANN). Negative sequence voltage data from both islanding and non-islanding scenarios were acquired through MATLAB Simulink simulations, with samples collected at a frequency of 3.84 kHz over a 2.5-second period. …”
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Two patterns in apical dendrite extensions of projection neurons within cerebral cortex of reeler mutant mice by Ryoichi Ichikawa, Ryoichi Ichikawa

“…I aimed to investigate the projection target-specific regulation of this apical dendrite extension pattern in reeler mice.MethodsTo this end, three types of projection neurons–corticospinal (CS), corticothalamic (CT), and corticocallosal (CC) neurons–were evaluated using retrograde labeling techniques.Results and discussionReeler CS neurons displayed a congregation pattern of apical dendritic terminal tips in a specific upper cortical zone, whereas reeler CC neurons exhibited a dispersed pattern of scattered tips throughout the cortex. …”
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Antimicrobial prescribing patterns among pediatric outpatient encounters in primary healthcare centers in Bujumbura Mairie, Burundi by Audace Manirakiza, Shital Mahindra Maru, David Gitonga Nyamu, Thomas Bizimana, Manassé Nimpagaritse

“…Methods We conducted a cross-sectional study at 20 PHCs in Bujumbura Mairie, Republic of Burundi, to evaluate antimicrobial prescribing patterns. We collected retrospectively 2022-year data from medical records using the World Health Organization/International Network of Rational Use of Drugs (WHO/INRUD) core drug indicators. …”
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Trade-Offs and Synergies Between Ecosystem Services and Their Ecological Security Patterns in the Guanzhong–Tianshui Economic Zone by Jing Zhou, Jianhua Xiao, Daiying Yin, Yu Ren

“…The Guanzhong–Tianshui economic zone is a strategic link in China’s Belt and Road network, faces the contradiction between ecological protection and economic development, and urgently needs to construct an ecological security pattern based on ecosystem services to permit sustainable development. …”
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Comparison of Wound Healing Effects of Different Micro-Patterned Hydrogels on the Skin of Secondary Intention Rat Model by Hong Jin Choi, Zeeshan Ahmad Khan, AbuZar Ansari, Jeonghyun Choi, Eun Jin Kim, Seo-Hee Han, Ho-Jun Song, Ok Chan Jeong, Yonggeun Hong

“…Materials and Methods: Three different micro-patterned (waves, lines, and checks) hydrogel patches were created using three-dimensional polymer networks. …”
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Evaluating the impact of the Modifiable Areal Unit Problem on ecological model inference: A case study of COVID-19 data in Queensland, Australia by Shovanur Haque, Aiden Price, Kerrie Mengersen, Wenbiao Hu

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Construction of an Artificial Intelligence Model and Application for an Automatic Recognition of Traditional Chinese Medicine Herbals Based on Convolutional Neural Networks by WANG Ganhong, ZHANG Zihao, XI Meijuan, XIA Kaijian, ZHOU Yanting, CHEN Jian

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Watershed-scale dispersal patterns of juvenile Chinook Salmon (Oncorhynchus tshawytscha) revealed through genetic parentage analysis by Matthew J. Kaylor, Lindsy R. Ciepiela, Melody Feden, Joseph T. Lemanski, Casey Justice, Benjamin A. Staton, Jonathan B. Armstrong, Stefan Kelly, Shawn R. Narum, Ian A. Tattam, Seth M. White

“…We evaluated overall dispersal patterns, longitudinal trends across the watershed, and relationships between dispersal and biophysical factors, including thermal conditions, network-scale abundance estimates, and juvenile size-at-capture. …”
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Symmetrical Modular Optical Phased Array With Combined Spatial and Amplitude Modulation for Scalable Indoor Wireless Networks by Kosala Herath, Malin Premaratne, Sharadhi Gunathilake, Ampalavanapillai Nirmalathas

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Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure by Usman Tariq, Tariq Ahamed Ahanger

“…This research addresses the critical need for intrusion detection and mitigation systems by introducing a novel hybrid deep learning model, Stacked Autoencoder–Gated Recurrent Unit (SAE-GRU), specifically designed for IoT networks in smart cities. The study targets the dual challenges of processing high-dimensional data and recognizing temporal patterns to identify and mitigate botnet activities in real time. …”
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Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies. by Adrian J Green, Lisa Truong, Preethi Thunga, Connor Leong, Melody Hancock, Robyn L Tanguay, David M Reif

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Reinventing the Trochoidal Toolpath Pattern by Adaptive Rounding Radius Loop Adjustments for Precision and Performance in End Milling Operations by Santhakumar Jayakumar, Sathish Kannan, Poongavanam Ganeshkumar, U. Mohammed Iqbal

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Phenology and foraging bias contribute to sex‐specific foraging patterns in the rare declining butterfly Argynnis idalia idalia by Matthew W. Chmielewski, Skyler Naya, Monica Borghi, Jen Cortese, Alisdair R. Fernie, Mark T. Swartz, Konstantina Zografou, Brent J. Sewall, Rachel B. Spigler

“…We highlight the importance of considering sex‐specific foraging patterns when studying interaction networks, and in making conservation management decisions for this at‐risk butterfly and other species exhibiting strong intraspecific variation.…”
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