Research on Spatio-temporal Evolution of Land Use and Landscape Patterns along the Yangtze River in Anhui Province by YIN Jian, ZHANG Bin, QIU Yuanhong

“…To explore the law of landscape change in the Yangtze River in Anhui Province,based on the land use data of Anhui section of Yangtze River Basin in 1995,2005 and 2015,this paper analyzes the landscape pattern and its changes of 1995—2005 and 2005—2015,predicts the landscape pattern of land in 2025 by the MCE-CA-Markov constrained by land type suitability,and analyzes the impact of human activities on changes in landscape patterns.The results show that:From 1995 to 2015,the cultivated land was the dominant landscape type in the region.It is predicted that the cultivated land will still occupy the dominant position in 2025,and the construction land will increase.There is an obvious correlation between the decrease of cultivated land area and the increase of construction land area.From 1995 to 2015,the regional landscape showed balanced development,and the connectivity between the landscapes decreased.In 2025,the balance of the landscape will decrease,and the degree of irregularity and fragmentation of the landscape will increase.Through the analysis of landscape development intensity,it is found that the development intensity of landscape as a whole is increasing,that of cultivated land is decreasing,and that of construction land is increasing.Human activities are the main driving force of landscape change.…”
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Fuzzy Diagnostic System for Oleo-Pneumatic Drive Mechanism of High-Voltage Circuit Breakers by Viorel Nicolau

“…The acting device, called oleo-pneumatic mechanism (MOP), presents the highest fault rate from all components of circuit breaker. Therefore, online predictive diagnosis and early detection of the MOP fault tendencies are very important for their good functioning state. …”
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Advances in Simulation of Stratigraphic-Structural Evolution of Basin Fill: A Retrospective to Guide Future Progress by Prashant Dhote, Uday Bhan

“…The oil and gas industry relies heavily on inverse geostatistical modeling to predict static reservoir properties that influence hydrocarbon accumulation and flow. …”
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Research on Pore Structure of Foam Gypsum Modified by Portland–Sulphoaluminate Composite Cement (PSACC) by Jiansen Yang, Hanxi Zhu, Xiangyang Cao

“…In the process of porosity filling of foam gypsum, three types of pore size small set phenomenon were exhibited, and the gypsum with small and uniformly distributed pore size had excellent thermal performance; MATLAB random distribution model and COMSOL finite element software joint simulation could effectively predict the thermal performance of porous materials.…”
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Modeling Crossing Conflicts at Unsignalized T-Intersections under Heterogeneous Traffic Conditions by Jaydip Goyani, Ninad Gore, Shriniwas Arkatkar

“…The result revealed that for both critical and noncritical conflicts, the GEE_TD model has better predictivity (lesser error) than the NB model.…”
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Forecasting Photovoltaic Module Remaining Life-Time Using Accelerated Aging Testing and Modelling on Aged Modules by Julien Dupuis, Christine Abdel Nour

“… This work investigates the possibility of predicting the remaining lifetime of a power plant by making accelerated aging testing on monocrystalline silicon cells modules working on a photovoltaic plant for eleven years in France and compares the results with the same testing done on modules from the same batch eleven years ago when they were new. …”
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Correlation coefficients of vibration signals and machine learning algorithm for structural damage assessment in beams under moving load by Toan Pham-Bao, Vien Le-Ngoc

“…In order to create a reliable and potential framework for predicting damage efficiently, these features are used as input variables to the machine learning model. …”
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Simple visualization of fish migration history based on high‐resolution otolith δ18O profiles and hydrodynamic models by Tatsuya Sakamoto

“…The demonstration of sardine juveniles in the western North Pacific region reproduced their seasonal northward migrations accurately. The predicted locations were consistent with the results of sampling surveys of eggs and juveniles and correctly approached the point where fish were caught. …”
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Fatigue life estimation in welded joints under multiaxial loadings by Andrea Carpinteri, Andrea Spagnoli, Sabrina Vantadori

“…On the contrary, the fatigue life predictions of welded joints under non-proportional (out-of-phase) cyclic loading are generally unsafe if these conventional hypotheses are used. …”
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Cylindrical Bending of Deformable Textile Rectangular Patch Antennas by Freek Boeykens, Luigi Vallozzi, Hendrik Rogier

“…Hence, it is important for textile antenna engineers to be able to predict these performance parameters as a function of the bending radius. …”
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Studies on Pumice Lightweight Aggregate Concrete with Quarry Dust Using Mathematical Modeling Aid of ACO Techniques by J. Rex, B. Kameshwari

“…The proposed mathematical modeling is utilized to predict four output parameters such as compressive strength (Mpa), split tensile strength (Mpa), flexural strength (Mpa), and deflection (in mm). …”
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Used economy market insight: Sailboat industry pricing mechanism and regional effects. by Zhanni Huang, Hansheng Hu, Di Wu

“…The research results show that, first of all, the price of second-hand sailboats fluctuates greatly, and the predicted value better reflects the overall average price level. …”
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Electro-gravity entanglement by Moreno Jose C.

“…Thus, the realization of the experiment could verify the predictions, but cannot necessarily falsify the model. …”
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A Model for Video Quality Assessment Considering Packet Loss for Broadcast Digital Television Coded in H.264 by Jose Joskowicz, Rafael Sotelo

“…This paper presents a model to predict video quality perceived by the broadcast digital television (DTV) viewer. …”
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Role of the Striatum and the Cerebellum in Motor Skill Acquisition by Markus M. Schugens, Caterina Breitenstein, Hermann Ackermann, Irene Daum

“…PD patients showed intact learning of the semi-predictable task and reduced learning of the mirror-reversed task; patients with cerebellar dysfunction showed the opposite pattern. …”
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Financial Early Warning System Model Combining Hybrid Semantic Hierarchy with Group Method of Data Handling Neural Network for Detection of Banks’ Risks by Guangju Li

“…Besides, the GMDH algorithm utilizing neural networks based on available data has the capability of predicting possible risks that could occur in the future. …”
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Macrodamage Accumulation Model for a Human Femur by Farah Hamandi, Tarun Goswami

“…The objective of this study was to more fully understand the mechanical behavior of bone tissue that is important to find an alternative material to be used as an implant and to develop an accurate model to predict the fracture of the bone. Predicting and preventing bone failure is an important area in orthopaedics. …”
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Experimental and Numerical Study of At-Rest Lateral Earth Pressure of Overconsolidated Sand by Magdi El-Emam

“…The numerical model developed was able to predict the earth pressure distribution over the wall height. …”
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Development of mathematical model and optimization of GMA welding parameters of IS 2062 grade A steel weldments by Saadat Ali Rizvi, Wajahat Ali

“…A set of experiments has been conducted to collect the response data using a central composite design and ANOVA was used to predict the impact of welding parameters on toughness and hardness. …”
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Mode-I Metal-Composite Interface Fracture Testing for Fibre Metal Laminates by Periyasamy Manikandan, Gin Boay Chai

“…The predicted true fracture energy was found to be approximately 50% smaller than the experimentally measured average propagation energy. …”
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