Deep learning for enhanced risk management: a novel approach to analyzing financial reports by Xiangting Shi, Yakang Zhang, Manning Yu, Lihao Zhang

“…This research brings out the Hybrid Financial Risk Predictor (HFRP) model, using the convolutional neural networks (CNN) and long-short term memory (LSTM) networks to improve financial risk prediction. …”
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Effect of Meteorological and Hydrological Drought Changes on Vegetation NDVI in Inner Mongolia Section of Yellow River Basin by LU Jiaqi, MENG Fanhao, LUO Min, CHEN Hongguang

“…The effect of drought on vegetation is hysteretic; meteorological drought and hydrological drought are concentrated in January, October, and January, respectively, and the vegetation in most areas is affected more by hydrological drought in the short term.…”
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APPLICATION OF MICROPROCESSOR SYSTEMS IN AUTOMOTIVE INDUSTRY by V. G. Mikhailov

“…The analysis of systems and the functions which are subject to automation for truck and special cars is carried, questions of application of microprocessor systems for reception of experimental data on roads (microprofile and longitudinal cross-section) and their use at car modelling, and also maintenance of road safety: distance maintenance between cars, control of blind zones; an exception засыпания the driver during movement, reduction of harmful influence from noise and vibrations.It is offered complexing realised functions and systems of their control. The short description and a substantiation of expediency of application of means of automation on the basis of the cheap microprocessor modules Arduino is given, allowing considerably to reduce quantity of used microcontrollers. …”
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A 2-Year, Phase IV, Multicentre, Observational Study of Ranibizumab 0.5 mg in Patients with Neovascular Age-Related Macular Degeneration in Routine Clinical Practice: The EPICOHORT... by Sergio Pagliarini, Stephen Beatty, Blandina Lipkova, Eduardo Perez-Salvador Garcia, Stefaan Reynders, Margarita Gekkieva, Abdelkader Si Bouazza, Stefan Pilz

“…This 2-year, multicentre, observational study was conducted to capture real-world early practice and outcomes across Europe, shortly after European licensing of ranibizumab for nAMD. …”
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Congenital Chylothorax: Case Report by Egemen Tolunay, Bulut Varlı, Fırat Tülek, Emre Pabuçcu, Şerife Esra Çetinkaya, Korhan Kahraman, Acar Koç

“…After treatment with medium-and short-chain fatty acids, octreotid, and pleural drainage newborn is discharged from the hospital well two months later. …”
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Role of Peroxisome Proliferator-Activated Receptor β/δ and B-Cell Lymphoma-6 in Regulation of Genes Involved in Metastasis and Migration in Pancreatic Cancer Cells by Jeffrey D. Coleman, Jerry T. Thompson, Russell W. Smith, Bogdan Prokopczyk, John P. Vanden Heuvel

“…PPARβ/δ activation reduced the TNFα-induced expression of various genes implicated in metastasis and reduced the invasion through a basement membrane in cell culture models. Through the use of short hairpin RNA inhibitors of PPARβ/δ, BCL-6, and MMP-9, it was evident that PPARβ/δ was responsible for the ligand-dependent effects whereas BCL-6 dissociation upon GW501516 treatment was ultimately responsible for decreasing MMP-9 expression and hence invasion activity. …”
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Plankton diversity and aquatic ecology of a freshwater lake (L3) at Bharti Island, Larsemann Hills, east Antarctica by Pawan K. Bharti, U.K. Niyogi

“…The ice-free area consists of two major peninsulas (Stornes and Broknes), four minor peninsulas, and approximately 130 near shore islands. The Larsemann Hills area contains more than 150 lakes at different Islands and peninsulas. …”
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Cigarette Smoking Is Associated with Prolongation of the QTc Interval Duration in Patients with Type 2 Diabetes Mellitus by Petros Thomakos, Stavros Liatis, Stavroula Kalopita, Ioannis Vlahodimitris, Chryssoula Stathi, Nicholas Katsilambros, Nicholas Tentolouris, Konstantinos Makrilakis

“…A total of 70 patients with T2DM (35 chronic smokers, 35 nonsmokers) treated with oral antidiabetic medications underwent continuous ECG Holter monitoring for 24 hours and analysis of time- and frequency-domain measures of heart rate variability (HRV). HRV over short time was also assessed using the deep breathing test. …”
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Oculodentodigital Dysplasia: A Case Report and Major Review of the Eye and Ocular Adnexa Features of 295 Reported Cases by Virang Kumar, Natario L. Couser, Arti Pandya

“…The most common eye features reported among all mutations were microcornea, microphthalmia, short palpebral fissures, and glaucoma.…”
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Current Situation Analysis and Evaluation of Appropriate Performance Indicators with Web Based Calculation Tool for Water and Sewerage Administrations by Cansu Bozkurt, Mahmut Fırat, Abdullah Ateş

“…Thus, priority areas that need improvement are identified, short-medium and long-term realistic and achievable targets are defined, and the gap analysis of the administrations is provided with the developed modules. …”
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Generalized cross-entropy for learning from crowds based on correlated chained Gaussian processes by J. Gil-González, G. Daza-Santacoloma, D. Cárdenas-Peña, A. Orozco-Gutiérrez, A. Álvarez-Meza

“…Still, traditional approaches often fall short by assuming homogeneous behavior across the input feature space and imposing independence constraints on outputs. …”
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Stock volatility as an anomalous diffusion process by Rubén V. Arévalo, J. Alberto Conejero, Òscar Garibo-i-Orts, Alfred Peris

“…Our architecture combines convolutional and recurrent neural networks (bidirectional long short-term memory units). Our model computes the diffusion exponent of a financial time series to measure its volatility and it categorizes market movements into five diffusion models: annealed transit time motion (ATTM), continuous time random walk (CTRW), fractional Brownian motion (FBM), Lévy walk (LW), and scaled Brownian motion (SBM).Our findings suggest that the diffusion exponent derived from anomalous diffusion processes provides insightful and novel perspectives on stock market volatility. …”
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Large-scale mapping of plastic-mulched land from Sentinel-2 using an index-feature-spatial-attention fused deep learning model by Lizhen Lu, Yunci Xu, Xinyu Huang, Hankui K. Zhang, Yuqi Du

“…However, accurately mapping large-scale PML remains challenging due to the relatively small size and short lifespan of visible PML. In this paper, we demonstrated a large-scale PML mapping using Sentinel-2 data by combining the PML domain knowledge and the deep Convolutional Neural Network (CNN). …”
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Surface Quality Monitoring and Improvement for Dimensional Metrology in Inline CT by Denoising with Neural Networks and Fast Surface Quality Metric by Faizan Ahmad, Ahmed Baraka, César Cardona-Marin, Steffen Kieß, Dominik Wolfschläger, Robert H. Schmitt, Sven Simon

“… Inline computed tomography (CT) is becoming increasingly important for 100% inspection in production technology. However, the short machine cycle times—often just a few minutes—require either fewer X-ray projections or shorter detector exposure times, significantly reducing photon counts by one to two orders of magnitude compared to lab-based CT systems. …”
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Experimental Study on Mechanical Performance of U-Shaped Steel-Encased Concrete Composite Beam-Girder Joints by Zhangqi Hu, Ran He, Yukui Wang, Weirong Lv, Jingchao Li

“…Compared with the traditional beam-girder joints, the novel composite beam-girder joints take advantage of easy construction, light weight, and short construction period. The failure patterns, load-strain and load-deflection curves, and strain distributions of the novel composite beam-girder joints were investigated through the static loading tests on two full-scale specimens, denoted as GBJ1 and GBJ2. …”
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Experimental Study on Flexural Behavior of Prestressed Concrete Beams Reinforced by CFRP under Chloride Environment by Yunyan Liu, Yingfang Fan

“…It can be seen that the reinforcing effect of CFRP is more significant compared with the weakening effect of short-term chloride corrosion and initial damage on the flexural behavior.…”
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The Normal Force Characteristic of a Novel Magnetorheological Elastomer Based on Butadiene Rubber Matrix Compounded with the Self-Fabricated Silly Putty by Fei Guo, Chengbin Du, Guojun Yu

“…Moreover, the magneto-induced normal force continued to enhance with the increase of compression strain because the CIP chains fixed in the C-C cross-linked network could bend to a radian and CIP chains in B-O cross-linked network could rupture to form more stable and intensive short-chain structures. Besides, a simplified model was deduced to characterize the mechanism of the generation of the magneto-induced normal force. …”
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The use of low-density EEG for the classification of PPA and MCI by Panteleimon Chriskos, Panteleimon Chriskos, Kyriaki Neophytou, Christos A. Frantzidis, Christos A. Frantzidis, Jessica Gallegos, Alexandros Afthinos, Chiadi U. Onyike, Argye Hillis, Panagiotis D. Bamidis, Kyrana Tsapkini, Kyrana Tsapkini

“…The k-Nearest Neighbor and Support Vector Machines classifiers were used.ResultsA 100% individual classification accuracy was achieved in the HC-MCI, HC-PPA, and MCI-PPA comparisons, and a 77.78% accuracy in the HC-MCI-PPA comparison.ConclusionWe showed for the first time that successful automatic classification between HC, MCI and PPA is possible with short, low-density EEG recordings. Despite methodological limitations of the current study, these results have important implications for clinical practice since they show that fast, low-cost and accurate disease diagnosis of these disorders is possible. …”
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Dynamic Interdependence of Systematic Risks in Emerging Markets Economies: A Recursive-Based Frequency-Domain Approach by Emmanuel Asafo-Adjei, Anokye M. Adam, Anthony Adu-Asare Idun, Peace Y. Ametepi

“…The low correlations, especially in the short term, of these countries within their respective regions signify less risk transmission and should be included in a portfolio of assets in determining investment risks. …”
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Empowering Urdu sentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT by Lal Khan, Atika Qazi, Hsien-Tsung Chang, Mousa Alhajlah, Awais Mahmood

“…Among the different deep neural networks utilized for SA globally, Bi-directional long short-term memory (Bi-LSTM), BERT, and CNN models have received much attention. …”
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