Broken Stick Model for Irregular Longitudinal Data by Stef van Buuren

“…The package supports two optimization methods, including options to constrain the variance-covariance matrix of the random effects. …”
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A Comparative Study of Image Representation for Roller Bearing Fault Diagnosis Using Pretrained Networks by M. Arun Balaji, S. Naveen Venkatesh, V. Sugumaran, K. I. Ramachandran

“…From the experimental findings, the ResNet18 model has achieved a 100.00% accuracy when the spectrogram image generation method was employed. The findings highlight the importance of selecting and optimizing deep learning models for a specific maintenance application and contribute valuable insights for researchers and practitioners in reliability engineering.…”
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Mathematical Background and Algorithms of a Collection of Android Apps for a Google Play Store Page by Roland Szabo

“…The third application redefines flashlight functionality using an optimized touch interface algorithm. By employing a screen-wide double-tap gesture recognition system, this approach removes the reliance on a physical button, depending instead on advanced event detection and hardware control logic to activate the device’s flash. …”
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Neurodynamics in young and middle-aged patients with arterial hypertension by S. A. Smakotina, O. A. Trubnikova, O. L. Barbarash

“…The maximal CD was observed in individuals with AH duration <1 year or >10 years. Optimal cognitive function, possibly due to adaptation mechanisms, was detected in patients with AH duration of 5-10 years or in those aged 40-50 years. …”
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Research of the microscopic structure of adhesive splinting constructions containing different chemical nature of reinforcing tapes in their structure by V. S. Starovoytova

“…The questions of research of physical and chemical characteristics of reinforcing tapes, peculiarities of chemical connection of composite material and reinforcing component of the splint, physical indicators of strength of their connection, optimal thickness of composite material for reinforcing tape covering remain not fully studied and require further work in this direction in order to optimize splinting stages of mobile teeth in various clinical situations and nosological forms of diseases. …”
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Introduction of neural network technologies to optimise the control of the operating modes of a sucker-rod pump installation by O. Turchyn

“…A forecasting model has been developed that can detect potential equipment failures in advance, which reduces the risks of emergencies and maintenance costs. …”
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Reperfusion failure after successful thrombectomy of large vessel occlusion stroke: clinical and imaging evidence by M. Barbagallo, M. Barbagallo, M. Zahn, M. Zahn, J. Zimmermann, J. Zimmermann, R. Klövekorn, R. Klövekorn, J. Held, J. Held, B. Nemeth, B. Nemeth, B. Reolon, B. Reolon, J. Bellomo, J. Bellomo, A. Schwarz, J. M. Veerbeek, C. H. B. Van Niftrik, C. H. B. Van Niftrik, M. Sebök, M. Sebök, M. Piccirelli, M. Piccirelli, L. Michels, L. Michels, A. R. Luft, A. R. Luft, A. R. Luft, Z. Kulcsar, Z. Kulcsar, L. Regli, L. Regli, G. Esposito, G. Esposito, J. Fierstra, J. Fierstra, P. Thurner, P. Thurner, T. Schubert, T. Schubert, S. Wegener, S. Wegener

“…IntroductionReperfusion failure (RF) describes a condition in which patients suffering a large vessel occlusion (LVO) stroke present insufficient tissue reperfusion and recovery despite optimal mechanical thrombectomy (MT) results. Approximately 50% of patients suffering from LVO are affected. …”
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Power Grid Renovation: A Comprehensive Review of Technical Challenges and Innovations for Medium Voltage Cable Replacement by Amir Rafati, Hamid Mirshekali, Hamid Reza Shaker, Navid Bayati

“…Various methods for detecting and monitoring cable defects and discussing their advantages and limitations are surveyed. …”
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Research on a New Control Scheme of Photovoltaic Grid Power Generation System by Dong-Hui Li, Yi-Lin Wang, Da-jun Zhou

“…To counter the harmonic pollution problem in photovoltaic grid power generation system, the deadbeat control scheme in fundamental wave synchronous frequency rotating coordinate system of power grid is presented. A parameter optimization scheme based on positive feedback of active frequency shift island detection to solve the problems like the nondetection zone due to the import of disturbance in traditional island detection method is proposed. …”
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Adaptive landslide monitoring in wireless sensor networks using FLPSO-based MIP systems by Lingaraj K, Rashmi Laxmikant Malghan, KarthiK Rao M C, Lalit Garg

“…The primary objective of this approach is to minimize the energy consumption in large-scale WSNs, thereby enhancing their efficiency for landslide detection systems. The proposed method improves on traditional network grouping methods by optimizing energy usage across sensor nodes. …”
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Klasifikasi Citra Sampah Menggunakan Support Vector Machine dengan Ekstraksi Fitur Gray Level Co-Occurrence Matrix dan Color Moments by Iffa Zainan Nisa, Sukmawati Nur Endah, Priyo Sidik Sasongko, Retno Kusumaningrum, Khadijah Khadijah, Rismiyati Rismiyati

“…Therefore, automatic waste detection technology is needed to support more optimal waste sorting. …”
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Which PSMA PET/CT interpretation criteria most effectively diagnose prostate cancer? a retrospective cohort study by Le Ma, Yaxin Hao, Luoping Zhai, Wanchun Zhang, Xiaoming Cao, Kaiyuan Jia

“…Method This retrospective analysis spans a five-year period, focusing on patients with clinically suspected or newly diagnosed, treatment-naïve PCa who underwent 18F-PSMA PET/CT. …”
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Automated Recognition of Conidia of Nematode-Trapping Fungi Based on Improved YOLOv8 by Enming Zhao, Hongyi Zhao, Guangyu Liu, Jianbo Jiang, Fa Zhang, Jilei Zhang, Chuang Luo, Bobo Chen, Xiaoyan Yang

“…This adjustment significantly optimizes the detection and differentiation of limited features and small-sized conidia among aggregated samples. …”
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Quantification of Staphylococcal Enterotoxin A Variants at Low Level in Dairy Products by High-Resolution Top-Down Mass Spectrometry by Nina Aveilla, Cécile Feraudet-Tarisse, Dominique Marcé, Abdelhak Fatihi, François Fenaille, Jacques-Antoine Hennekinne, Stéphanie Simon, Yacine Nia, François Becher

“…Various mass spectrometry methods have been reported for the detection of SEs using a conventional bottom-up approach. …”
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Magnetic Resonance Imaging for Breast Cancer Classification Using Convolutional Neural Networks by Adiyah Mahiruna, Rachmat Destriana, Rahmat Riansyah

“…Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the urgent need for accurate diagnostic methods. This research addresses the challenges of early detection by leveraging Convolutional Neural Networks (CNNs) for the classification of Magnetic Resonance Imaging (MRI) data. …”
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Stochastic-based learning for image classification in chest X-ray diagnosis by Xinghui Zeng, Shushu Gong

“…Objectives The current research introduces a stochastic deep learning method with the aim of enhancing lung disease detection, particularly pneumonia, in chest X-ray images. …”
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RESEARCH ON LOAD FLUCTUATION CHARACTERISTICS OF SUPPORT BEARING RACEWAY FOR SPECIAL VEHICLE LIFT MECHANISM by WANG ZhongLei, SUN HaiBo

“…Therefore,a special vehicle lift mechanism transmission system has been regarded as the research object,the three-dimensional model of the main components of the transmission system has been established,and the influences of the bolt design on the load fluctuation characteristics of support bearing raceway of transmission system have been analyzed by the finite element and vibration frequency detection methods. The research results show that the bolt pre-tightening force in the transmission system change the contact deformation of the raceway of the supporting bearing and then affect the contact load of the supporting bearing. …”
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A New Hybrid Model for Underwater Acoustic Signal Prediction by Guohui Li, Wanni Chang, Hong Yang

“…Aiming at the difficulty in underwater acoustic signal sequence prediction, a new hybrid prediction model for underwater acoustic signal is proposed in this paper, which combines the advantages of variational mode decomposition (VMD), artificial intelligence method, and optimization algorithm. In order to reduce the complexity of underwater acoustic signal sequence and improve operation efficiency, the original signal is decomposed by VMD into intrinsic mode components (IMFs) according to the characteristics of the signal, and dispersion entropy (DE) is used to analyze the complexity of IMF. …”
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Three simple and cost-effective assays for AAC(6′)-Ib-cr enzyme activity by Shizhou Liang, Wenpin Cai, Wenpin Cai, Ruiben Mao, Mengquan Chen, Xianning Dai, Xiaoli Jin, Wanzhong Kong

“…Here, we developed three phenotypic methods to detect AAC(6′)-Ib-cr enzyme-producing Enterobacteriaceae (APE), two of which are proposed innovatively in this research. …”
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Graphene oxide enhances SBA-15 ability towards preconcentration as well as determination of barbiturate drug in real samples by Ali Shokuhi Rad, Ali Mirabi, Sadaf Ahmadizadeh

“…Analytical figures of merit such as accuracy, limit of detection, preconcentration and enrichment factors were calculated and proved the suitability of our proposed method. …”
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