La Guerra de España en el contexto de la crisis internacional de entreguerras by David Jorge

“…The Spanish conflict, which has sometimes been referred as « the last great cause », meant the end of Wilsonian idealism in the frame of international relations as well as the failure of the extraordinary path of social and cultural progress developed in Spain during its Edad de Plata.…”
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THE IMPACT OF HUMAN CAPITAL DEVELOPMENT ON AGRICULTURAL OUTPUT IN NIGERIA by NNANA OKOI OFEM, TANGBAN EGBE EBAGU, WILLIE WILFRED OKOI, RITA NGOZI OKAFOR

“…This study is inclined to the fact that a high literacy rate and well- being of the citizens contribute greatly to gross domestic product in Nigeria. The study further recommended that; Nigeria government should increase funding in the education sector to sustain the positive outcome of the current spending this will improve literacy rate which is essential for economic growth and development. …”
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Time Series Analysis: Application of LSTM model in predicting PM 2.5 concentration in Beijing by Yang Rui

“…This research emphasizes the importance of LSTM in air pollution prediction and management in environmental science as it provides an effective means for planning and making decisions on air quality management. This research is of great importance in providing a groundwork for further enhancement of prediction modeling. …”
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Newman polémiste et satiriste by Keith Beaumont

“…Newman is widely recognized in the English-speaking world as one of its great satirical authors (though it has to be admitted that his subtle irony sometimes escapes the translators of his work into other languages, notably French !). …”
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Application of thermoelastic stress analysis for the experimental evaluation of the effective stress intensity factor by Francisco A. Díaz, Eann A. Patterson, John R. Yates

“…In addition, the technique appears to have a great potential in the evaluation of the effective stress intensity factor range during fatigue since fracture mechanics parameters are derived directly from the temperature changes in the vicinity of the crack tip rather than from remote data. …”
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Properties of the Photometric Components of Lenticular Galaxies by J. Alfonso L. Aguerri

“…These classifications have given us our first ever opportunity to study large samples of lenticulars within a wide range of masses and located in a great variety of environments. These large samples will provide us with a real census of nearby lenticular galaxies and could be crucial in finally helping us to understand the origin and evolution of these galaxies.…”
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L’Humpur en BD : de fabuleuses frontières by Florence Plet-Nicolas

“…Those new narrative frontiers find an echo with the corporal and geographical frontiers, in this great quest tale ‒ in return, there’s bargain, recreation, lucky find. …”
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The effect of game on pre-school period (ages 3-6): A review of study by Ozgur Gul

“…Game which is very efficient in each period of a child’s development has a great importance. That is, game which is such an effective resource to facilititate his harmony with the outside world, contributes to discover a child’s environment, be aware of his abilities when making new experiences and increase them, express his emotions and opinions when speaking, communicate with his environment, adopt some social roles. …”
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Looking and listening in a technical world : Effects of discontinuity in work schedules on nurses’ work activity by Ana-Maria Seifert, Karen Messing

“…The analysis revealed short patient stays and a great discontinuity in work periods for nursing personnel : 60 % of health care workers in one department worked for fewer than five shifts per month in this department. …”
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Application,Challenges,and Prospect of Machine Learning in Dam Seepage Prediction by WANG Wei, LIAO Jielin, ZHU Shaokun

“…The adverse effects of seepage will increase the dam failure risk, and applying machine learning to accurate seepage prediction is crucial to dam safety and stability.This paper reviews the application, challenges, and solutions of machine learning in dam seepage prediction.Machine learning can not only predict the seepage behavior of dams but also identify some key parameters such as dam permeability coefficient and groundwater level in seepage prediction.Artificial neural networks, support vector machines, and decision trees have been widely employed in seepage prediction of dams.Integrated algorithms greatly improve prediction accuracy by integrating the advantages of multiple algorithms.Machine learning models still have many shortcomings in data quantity and quality, model interpretability, complexity, scalability, deployment, and implementation.Future research directions include developing advanced machine learning algorithms, creating physics data dual-drive models and interpretable models, and enhancing experimental testing and validation.The relevant achievements can provide references for studying dam seepage prediction based on machine learning models.…”
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Clinical Application of Partial Splenic Embolization by Yong-Song Guan, Ying Hu

“…With the development of interventional radiology, the applications of PSE in clinical practice are greatly extended, while various materials are developed for embolization use. …”
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Prediction Research of Water Demand Probability Interval in Liuzhou City Based on BP Neural Network by ZHANG Zhibo

“…Water demand prediction is of great importance for regional water resources planning.In this paper,BP neural network is primarily applied to predict the water demand of Liuzhou in 2020 and 2025,and then 100 groups of forecast results are selected for statistically frequency distribution analysis in the case of the relative error of prediction results being less than 2%.The results show that the prediction results of Liuzhou obey normal distribution in 2020 and mildly positively skewed distribution in 2025.Moreover,combining the prediction results of Liuzhou in 2025 which are converted to normal distribution by SPSS,and the interval estimation of normal distribution,the prediction interval of Liuzhou water demand,i.e.2.147 8~2.162 2 billion m³ in 2020 and 2.181 3~2.202 3 billion m³ in 2025 is obtained under the condition of 95% confidence level.The research has certain theoretical and instructional significance for Liuzhou water resources planning in the future.…”
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Hybrid k-anonymity approach based on TDS and BUG under the environment of big data cloud by Xiaofeng FAN, Feng YAN, Yang LIU

“…As the issue of low efficiency and poor scalability in general sub-tree anonymous method of treating big data,a bottom-up generalization(BUG) method with scalability was proposed,and on this basis,combined with the existing top-down specialization(TDS),a hybrid approach was formed.In the proposed method,k-anonymity was being as a privacy model,the compositions of TDS and BUG were developed with mapping simplification,and higher scalability through powerful cloud computing capabilities were achieved.The proposed mapping simplification BUG could insert a new candidate after several cycles of generalization,and would not affect information loss of another generalization.Given the complexity of the relationship between workload balancing point K and anonymous parameter k,mapping simplifications of BUG and TDS were combined to form a hybrid approach.Experimental results demonstrate the effectiveness of the proposed method and compared with TDS and BUG,the efficiency and scalability of hybrid method are greatly improved.…”
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Building Bridges through Writing: An Interview with Rohini Bannerjee by Sara Casco-Solís

“…Rohini Bannerjee, the daughter of immigrant Settlers from Himachal Pradesh, India, was born and raised in unceded Mi’kmaki territory, on the Dartmouth side of the great harbour of Kjipuktuk. A scholar, translator and creative writer, Bannerjee’s primary research focuses on the literatures and cultures of the Francophone Indian Ocean. …”
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Analysis of Factors Affecting Lubrication Performance of Crankshaft Main Bearing Considering Thermal Effect by Shao Kang, Wang Guangdong, Bi Fengrong

“…The calculation results show that the thermal effect has a great influence on the crankshaft main bearing. When the external load of the bearing increases, the maximum oil film pressure, minimum oil film thickness and maximum friction power loss will increase; when the bearing clearance becomes smaller, the maximum oil film pressure decreases and the bearing temperature increases; when the oil inlet temperature increases, the maximum oil film pressure increases, the minimum oil film thickness decreases and the maximum friction power loss decreases.…”
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Exceptionnalisme et impérialisme dans le discours de politique étrangère américain des années Clinton by Frédéric Heurtebize

“…The United States has to a great extent asserted itself as a nation through the victories of its military and, even more so perhaps, through binary oppositions: democratic republic vs. …”
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When molecular biology transforms clinical oncology: the EGFR journey in colorectal cancer by Pietro Paolo Vitiello, Nadia Saoudi González, Alberto Bardelli

“…The preclinical and clinical development of agents targeting epidermal growth factor receptor (EGFR) in colorectal cancer (CRC) were accompanied by big hype and hopes, though the clinical testing of such agents clashed with intrinsic and acquired resistance, greatly limiting their therapeutic value. However, a better understanding of the biology of the EGFR signaling pathway in CRC, coupled with the development of liquid biopsy methodologies to study cancer evolution in real time, fostered the clinical refinement of anti‐EGFR treatment in CRC. …”
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Wear Reliability and Sensitivity Analysis of the Chain Plate in the Leaf Chain by Wen Sun, Tao Ren, Wei Zeng, Xiaoqing Kang

“…The wear allowance，material hardness and contact stress have great influence on the failure probability of the chain plate，and the wear coefficient has relatively little effect on the failure probability of the chain plate. …”
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Network quality and user perception improvement of high-speed rail scene by Songbai LIANG, Yingwu GUO, Xinwei LI

“…In view of the difficulty in improving the quality of mobile network in high-speed railway scenes and the poor efficiency of conventional methods, a methodology system for improving the perception of mobile communication users was explored in traffic trunk lines, especially in high-speed railway scenes.The methodology system was based on handover chain optimization with the core idea of “primary covering, reasonable reselection and orderly switching”.It adopted a three-layer theoretical structure include covering control firstly, then parameter optimization, and feature loading last.It used idle state and service state data pull graph correlation to determine problem road sections and cells, match the delay parameters of high-speed mobile scenes, load service quality and perception characteristics, and greatly improved the high-speed railway network quality and user perception.This method started from the principle analysis, with practical application, it could effectively solve the network problems, which could be fully extended to other linear scenes.…”
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P2 Hybrid AMT Shift Clutch Engagement Control Strategy based on Model Prediction by Changqing Du, Huan Zhang, Xiliang Cao, Huawu Wang

“…The engagement process control quality of the clutch after AMT shift has a great influence on the impact of the system. For the engagement process of the P2 single-shaft parallel hybrid vehicle clutch， the two control targets of the clutch is engaged as soon as possible during the clutch engagement phase and the impact is as small as possible， the dynamics process of the clutch engagement phase in different driving modes is analyzed， a clutch engagement control strategy based on model predictive control is designed， an Amesim-Simulink joint simulation model is built to simulate and analyze the control strategy. …”
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