Resonant solitary states in complex networks by Jakob Niehues, Serhiy Yanchuk, Rico Berner, Jürgen Kurths, Frank Hellmann, Mehrnaz Anvari

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Mortality impact, risks, and benefits of general population screening for ovarian cancer: the UKCTOCS randomised controlled trial by Usha Menon, Aleksandra Gentry-Maharaj, Matthew Burnell, Andy Ryan, Jatinderpal K Kalsi, Naveena Singh, Anne Dawnay, Lesley Fallowfield, Alistair J McGuire, Stuart Campbell, Steven J Skates, Mahesh Parmar, Ian J Jacobs

“…There was no significant reduction in ovarian and tubal cancer deaths in either MMS (p = 0.580) or USS (p = 0.360) groups compared to the C group. …”
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A multi-model approach for estimation of ash yield in coal using Fourier transform infrared spectroscopy by Sameeksha Mishra, Anup K. Prasad, Arya Vinod, Anubhav Shukla, Shailayee Mukherjee, Bitan Purkait, Atul K. Varma, Bhabesh C. Sarkar

“…Multiple algorithms, including piecewise linear regression (PLR), artificial neural networks (ANN), partial least squares regression (PLSR), support vector regression (SVR), and random forest (RF), were utilized to predict the ash yield in coal. …”
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Multi-source data-driven Bayesian network for risk analysis of maritime accidents in the high sea by Xiaotong Qu, Chengbo Wang, Chengbo Wang, Ruijia Zhao, Mingxing Fang, Mingxing Fang, Mingxing Fang, Xinlian Xie

“…The DDBN model achieves an accident prediction accuracy of 84.0%, with both precision and recall exceeding 75%. …”
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Fog Computing and Industry 4.0 for Newsvendor Inventory Model Using Attention Mechanism and Gated Recurrent Unit by Joaquin Gonzalez, Liliana Avelar Sosa, Gabriel Bravo, Oliverio Cruz-Mejia, Jose-Manuel Mejia-Muñoz

“…Our approach involves the use of an attention mechanism for accurate demand prediction. We combine it with the Newsvendor model to determine optimal inventory levels. …”
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Diagnostic performance of YEARS criteria combined with point-of-care lung and venous ultrasound in suspected pulmonary embolism by Chiara Gigli, Giovanni Volpicelli, Antonio Annovi, Ángel Sánchez Garrido-Lestache, Maria Cristina Vedovati, Cecilia Becattini, Simone Vanni, Peiman Nazerian

“… Clinical prediction rules and bedside lung and venous ultrasound are frequently used in the diagnostic workup of suspected pulmonary embolism (PE). …”
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Resource Optimization Method Based on Spatio-Temporal Modeling in a Complex Cluster Environment for Electric Vehicle Charging Scenarios by Hongwei Wang, Wei Liu, Chenghui Wang, Kao Guo, Zihao Wang

“…To address this, a novel self-organizing prediction method for spatio-temporal resource allocation is proposed. …”
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UAV-Based Intelligent Sensing Over CF-mMIMO Communications: System Design and Experimental Results by Jian Sun, Wei Shi, Jiacheng Yao, Wei Xu, Dongming Wang, Yang Cao

“…Moreover, we propose an enhanced target tracking algorithm, which is further integrated with Kalman filter-based trajectory prediction for performance improvement. …”
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A Preemptive Scan Speed Control Strategy Based on Topographic Data for Optimized Atomic Force Microscopy Imaging by Thi Thu Nguyen, Oyoo Michael Juma, Luke Oduor Otieno, Thi Ngoc Nguyen, Yong Joong Lee

“…The calculated mean square errors (MSEs) show that the combination of speed adjustments and preemptive surface topography prediction has successfully allowed us to suppress the potential oscillations during the speed adjustment process, thereby enhancing the stability of the adaptive AFM system as well.…”
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Deep learning analysis of exercise stress electrocardiography for identification of significant coronary artery disease by Hsin-Yueh Liang, Hsin-Yueh Liang, Kai-Cheng Hsu, Kai-Cheng Hsu, Kai-Cheng Hsu, Shang-Yu Chien, Chen-Yu Yeh, Ting-Hsuan Sun, Meng-Hsuan Liu, Kee Koon Ng

“…A convolutional recurrent neural network algorithm, integrating electrocardiographic (ECG) signals and features from ExECG reports, was developed to predict the risk of significant CAD. …”
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Headaches and its dependence from different factors in patients with temporal epilepsy at interictal period by O. S. Kurus, M. V. Nadezhdina, Ye. V. Osintseva, N. I. Skulskaya

“…This amends the algorithm of the examination and treatment of patients with temporal epilepsy.…”
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Two-Step Adaptive Target Detection Scheme Using Beam-Steering FMCW Radar Sensors by Bong-seok Kim, Young-seok Jin, Jieun Bae, Eugin Hyun

“…Furthermore, to verify the effectiveness of the proposed algorithm, high-resolution target detection experiments were conducted using a 24-GHz FMCW radar, while complexity reduction was evaluated in terms of the required memory size.…”
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A Developed Mathematical Model for Designing a Multilevel Sustainable Supply Chain Network Taking into Account Environmental Decisions by Mehrab Paydarfard, Roya Pirzadeh, Ali Ahmadi, Masoud Zohrabi, Farkhondeh Mortaz Hejri, Malek Hasan

“…In addition, the proposed model was optimized by the whale optimization algorithm (WOA) to find the best solution in large-scale instances in a short and reasonable time. …”
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NUMERICAL METHOD FOR ESTIMATION OF TENSILE LOAD IN TIE-RODS by Kseniia Riabova, Luca Collini, Rinaldo Garziera

“…Qualitative analysis of the results showed a significant reduction of the error compared to models with different boundary conditions. …”
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Spindle Bearing Preload Control Using NI MyRIO by Paweł Turek

“…Such a change in stiffness allows for effective reduction of the vibration amplitudes of the spindle tip. …”
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MCTS-NC: A thorough GPU parallelization of Monte Carlo Tree Search implemented in Python via numba.cuda by Przemysław Klęsk

“…We apply suitable reduction patterns to carry out summations or max/argmax operations. …”
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The Significance of MAPK Signaling Pathway in the Diagnosis and Subtype Classification of Intervertebral Disc Degeneration by Yong Liu, Xueyan Chen, Jingwen Chen, Chao Song, Zhangchao Wei, Zongchao Liu, Fei Liu

“…Additionally, we applied PPI networks, LASSO analysis, the RF algorithm, and the SVM‐RFE algorithm to identify core MAPK‐related genes. …”
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The Impact of Artificial Intelligence on Financial Management by Mihai ANDRONIE, Irina DIJMARESCU

“…The study probes AI's role in optimizing operational efficiency, risk reduction, as well as personalization of financial services. …”
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A Priority-Based CSMA/CA Mechanism to Support Deadline-Aware Scheduling in Home Automation Applications Using IEEE 802.15.4 by Mario Collotta, Gianfranco Scatà, Giovanni Pau

“…This work addresses several advantages due to the introduction of rate monotonic (RM) for guaranteed time slots (GTSs) allocation combined with priority-based CSMA/CA for latencies reduction on transmission attempts as clearly demonstrated by obtained results.…”
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Task domain independent speech keyword detection system by HAN Jiang, LIU Xiao-xing, YAN Yong-hong, ZHANG Peng-yuan

“…A multiple scale acoustic modeling framework for task-domain independent keyword spotting was proposed.A large-scale phoneme set was obtained automatically through decision-tree based phoneme clustering,and a large-scale phoneme acoustic context dependent background model was trained accordingly through using standard HMM training framework.The modeling accuracy for filler speech is improved.Under the framework,an efficient searching space construction through using shared HMM state was also described.Experimental results showed that in average absolute 6.9% improvement of keyword recognition accuracy could be obtained.Furthermore an acoustic context neighbor algorithm to measure acoustic confidence and a method of computing candidate keyword likelihood based on proposed multiple-scale acoustic model were proposed and a fusing method based on FLDA was adopted.The effectiveness of acoustic confidence measure is improved significantly.Experimental results showed that absolute 3.0% reduction of equal error rate could be obtained.…”
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