Preferential Cyber Defense for Power Grids by Mohammadamin Moradi, Yang Weng, John Dirkman, Ying-Cheng Lai

“…We develop a reinforcement-learning approach with the objective of satisfying the preferences as quantitatively described by linear temporal logic. To characterize the preferences, we exploit a probabilistic planning approach that transforms preference satisfaction into a mixed-integer programming (MIP) problem, incorporate MIP into the resource-allocation problem, and use reinforcement learning to obtain the optimal policy. …”
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Mid-Term Optimal Scheduling of Hydro-Wind-Solar Systems Addressing Extreme Drought and Renewable Energy Forecast by CHEN Cong, LIU Benxi, WANG Haidong, WANG Wenbin

“…The original model was transformed into a mixed-integer linear programming (MILP) model through the linearization of both objective functions and constraints. …”
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Low-carbon power planning method for power system with high proportion of renewable energy by LI Lingyu, CHENG Haozhong, ZHANG Heng, YUAN Zijun, WANG Zheng, LU Jianzhong

“…Moreover, aiming at the uncertainties of wind power in the model, the sample average approximation method is employed to transform the proposed model into a mixed-integer linear programming formulation. The modified IEEE-24 bus system is used as an example to verify the effectiveness of the proposed method, and the effects of carbon capture system, carbon trading price and different carbon emission levels on power planning are quantitatively evaluated.…”
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column:Mid-Term Optimal Scheduling of Hydro-Wind-Solar Systems Addressing Extreme Drought and Renewable Energy Forecast Error by CHEN Cong, LIU Benxi, WANG Haidong, WANG Wenbin

“…The original model was transformed into a mixed-integer linear programming (MILP) model through the linearization of both objective functions and constraints. …”
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Distributionally Robust Optimization Based Restoration for Integrated Electricity-Gas Systems Incorporating Wind Power and Flexible Reserve Capacity Allocations by Jingyang Yun, Hongyan Ma, Zheng Yan

“…Moreover, the proposed model can be converted into a mixed integer linear programming problem which can be directly solved. …”
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Partitioning Functional of a Class of Convex Bodies by Xinling Zhang

“…Estimating <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>β</mi><mi>X</mi></msub><mrow><mo>(</mo><mi>A</mi><mo>,</mo><mi>m</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula> is an important part of Chuanming Zong’s quantitative program for attacking Borsuk’s problem. …”
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Effectiveness Model Learning Arias (Assurance, Relevance, Interest, Assessment, and Satisfaction) Assissted Tool Figure Cards on The Materials And Reduction Additive Integrated by desyana sabirin

“…This study aims to determine the effectiveness of student learning outcomes and ARIAS learning model assisted props on the material addition and subtraction of integers. This type of research is a field research with quantitative approach. …”
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A Pólya shire theorem for functions with algebraic singularities by J. K. Shaw, C. L. Prather

“…New quantitative results are given on how zeros of the successive derivatives migrate to the final set.…”
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Advice on better utilization of validation data to adjust odds ratios for differential exposure misclassification (recall bias) by Igor Burstyn, George Luta

“…First, we must note that quantitative bias analysis does not correct for exposure misclassification in general. …”
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The Impact of Remedial Classes on the Performance of Grade 7 Learners in Mathematics Using the Project TAPPPIK by Jeffrey Mandagdag, Ryan Golez, Baby Glenn Closa

“…This research employed mixed mode research methodology, which compromised qualitative and quantitative research methods. They were seventy-two Grade 7 Low-Numerate learner participants in the study. …”
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Need for Journal Analysis: Is Citation-Based Scores Good Enough to Rank a Journal? by Jitendra D. Lakhani, Niraj Pandit, Girish Sailor

“…Analysis of these qualitative aspects should be part of the journal analysis. Quantitatively it can be ranked by modern tools which started as Science Citation Index and impact factor (IF) which then progressed to other numerical integers such as Eigenfactor score, Article Influence Score, and others. …”
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Research on the running-in scuffing of aviation spiral bevel gears based on measured analysis of surface integrity parameters by YIN Feng, YANG Duo, DENG Mingming, TANG Jinyuan, FENG Xin

“…Specifically, the surface morphology skewness (<italic>S</italic>_sk) and Kernel Average Misorientation (KAM) maps at various depths were employed to quantitatively characterize the scuffing topography and the micro-plastic strain state. …”
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