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The Boeing 737 Max Saga: Automating Failure

Chris Palmer

Engineering 2020, Volume 6, Issue 1,   Pages 2-3 doi: 10.1016/j.eng.2019.11.002

Genome-wide association study of the backfat thickness trait in two pig populations

Dandan ZHU,Xiaolei LIU,Rothschild MAX,Zhiwu ZHANG,Shuhong ZHAO,Bin FAN

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 2,   Pages 91-95 doi: 10.15302/J-FASE-2014005

Abstract: Backfat thickness is a good predictor of carcass lean content, an economically important trait, and a main breeding target in pig improvement. In this study, the candidate genes and genomic regions associated with the tenth rib backfat thickness trait were identified in two independent pig populations, using a genome-wide association study of porcine 60K SNP genotype data applying the compressed mixed linear model (CMLM) statistical method. For each population, 30 most significant single-nucleotide polymorphisms (SNPs) were selected and SNP annotation implemented using Build 10.2. In the first population, 25 significant SNPs were distributed on seven chromosomes, and SNPs on SSC1 and SSC7 showed great significance for fat deposition. The most significant SNP (ALGA0006623) was located on SSC1, upstream of the gene. In the second population, 27 significant SNPs were recognized by annotation, and 12 SNPs on SSC12 were related to fat deposition. Two haplotype blocks, M1GA0016251-MARC0075799 and ALGA0065251-MARC0014203-M1GA0016298-ALGA0065308, were detected in significant regions where the and genes were identified as contributing to fat metabolism. The results indicated that genetic mechanism regulating backfat thickness is complex, and that genome-wide associations can be affected by populations with different genetic backgrounds.

Keywords: backfat thickness     SNP chip     genome-wide association study     compressed mixed linear model     pig    

Numerical analysis of strongly nonlinear oscillation systems using He’s max-min method

H. BABAZADEH, G. DOMAIRRY, A. BARARI, R. AZAMI, A. G. DAVODI

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 4,   Pages 435-441 doi: 10.1007/s11465-011-0243-x

Abstract: This paper presents a novel method called the max-min method for presenting an accurate approximate analytical

Keywords: min-max method     nonlinear oscillation     duffing equation     mathematical pendulum     He’s energy balance method    

Max-margin basedBayesian classifier Article

Tao-cheng HU,Jin-hui YU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 10,   Pages 973-981 doi: 10.1631/FITEE.1601078

Abstract: We show that the classifier has a max-margin property.

Keywords: Multi-class learning     Max-margin learning     Online algorithm    

Personalizing a Service Robot by Learning Human Habits from Behavioral Footprints Article

Kun Li, Max Q.-H. Meng

Engineering 2015, Volume 1, Issue 1,   Pages 79-84 doi: 10.15302/J-ENG-2015024

Abstract:

For a domestic personal robot, personalized services are as important as predesigned tasks, because the robot needs to adjust the home state based on the operator's habits. An operator's habits are composed of cues, behaviors, and rewards. This article introduces behavioral footprints to describe the operator's behaviors in a house, and applies the inverse reinforcement learning technique to extract the operator's habits, represented by a reward function. We implemented the proposed approach with a mobile robot on indoor temperature adjustment, and compared this approach with a baseline method that recorded all the cues and behaviors of the operator. The result shows that the proposed approach allows the robot to reveal the operator's habits accurately and adjust the environment state accordingly.

Keywords: personalized robot     habit learning     behavioral footprints    

Controlling interstory drift ratio profiles via topology optimization strategies

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 165-178 doi: 10.1007/s11709-022-0892-3

Abstract: The theoretical foundation of the proposed approach involves solving a min–max optimization problem to

Keywords: interstory drift ratio     aggregation function     bound formulation     min–max problem     topology optimization    

High-order phase-field model with the local and second-order max-entropy approximants

Fatemeh AMIRI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2,   Pages 406-416 doi: 10.1007/s11709-018-0475-5

Abstract: We approximate the fracture surface energy functional based on phase-field method with smooth local maximum entropy (LME) and second-order maximum entropy (SME) approximants. The higher-order continuity of the meshfree methods such as LME and SME approximants allows to directly solve the fourth-order phase-field equations without splitting the fourth-order differential equation into two second-order differential equations. We will first show that the crack surface functional can be captured more accurately in the fourth-order model with smooth approximants such as LME, SME and B-spline. Furthermore, smaller length scale parameter is needed for the fourth-order model to approximate the energy functional. We also study SME approximants and drive the formulations. The proposed meshfree fourth-order phase-field formulation show more stable results for SME compared to LME meshfree methods.

Keywords: second-order maximum entropy     local maximum entropy     second- and fourth-order phase-field models     B-spline    

The MYC transcription factor network: balancing metabolism, proliferation and oncogenesis

Patrick A. Carroll, Brian W. Freie, Haritha Mathsyaraja, Robert N. Eisenman

Frontiers of Medicine 2018, Volume 12, Issue 4,   Pages 412-425 doi: 10.1007/s11684-018-0650-z

Abstract: In this review we focus on the MYC network (also known as the MAX-MLX Network), a highly conserved super-family

Keywords: network     transcription     cancer     MYC     MAX     MLX    

Adaptive robust beamformer formulti-pair two-way relay networks with imperfect channel state information

Jin WANG,Feng SHU,Ri-qing CHEN,Yu-di CUI,Yu CHEN,Jun LI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 265-280 doi: 10.1631/FITEE.1500134

Abstract: coefficients of the error model, an adaptive robust maximum signal-to-interferenceand- noise ratio (Max-SINR) plus maximum signal-to-leakage-and-noise ratio (Max-SLNR) beamformer at an RS is proposed to trackdensity of transmit pilot symbols, its BER and sum-rate performances tend to those of the beamformer of Max-SINRplus Max-SLNR with ideal CSI.

Keywords: robust beamformer     Channel state information (CSI)     Maximum signal-to-interference-and-noise ratio (Max-SINR)     Maximum signal-to-leakage-and-noise ratio (Max-SLNR)    

Ground-based Hyperspectral Stereoscopic Remote Sensing Network: A Promising Strategy to Learn Coordinated Control of O3 and PM2.5 over China Article

Cheng Liu, Chengzhi Xing, Qihou Hu, Qihua Li, Haoran Liu, Qianqian Hong, Wei Tan, Xiangguang Ji, Hua Lin, Chuan Lu, Jinan Lin, Hanyang Liu, Shaocong Wei, Jian Chen, Kunpeng Yang, Shuntian Wang, Ting Liu, Yujia Chen

Engineering 2022, Volume 19, Issue 12,   Pages 71-83 doi: 10.1016/j.eng.2021.02.019

Abstract: stereoscopic remote sensing network based on multi-axis differential optical absorption spectroscopy (MAX-DOASOne-year vertical profiles of aerosol, NO2 and HCHO monitored from four MAX-DOAS stations1000 m was monitored in the southwest–northeast pathway of the North China Plain (NCP) by five MAX-DOAS

Keywords: MAX-DOAS     Stereoscopic monitoring     Regional transport     Ozone production     Control strategy    

Title Author Date Type Operation

The Boeing 737 Max Saga: Automating Failure

Chris Palmer

Journal Article

Genome-wide association study of the backfat thickness trait in two pig populations

Dandan ZHU,Xiaolei LIU,Rothschild MAX,Zhiwu ZHANG,Shuhong ZHAO,Bin FAN

Journal Article

Numerical analysis of strongly nonlinear oscillation systems using He’s max-min method

H. BABAZADEH, G. DOMAIRRY, A. BARARI, R. AZAMI, A. G. DAVODI

Journal Article

Max-margin basedBayesian classifier

Tao-cheng HU,Jin-hui YU

Journal Article

Personalizing a Service Robot by Learning Human Habits from Behavioral Footprints

Kun Li, Max Q.-H. Meng

Journal Article

Controlling interstory drift ratio profiles via topology optimization strategies

Journal Article

High-order phase-field model with the local and second-order max-entropy approximants

Fatemeh AMIRI

Journal Article

The MYC transcription factor network: balancing metabolism, proliferation and oncogenesis

Patrick A. Carroll, Brian W. Freie, Haritha Mathsyaraja, Robert N. Eisenman

Journal Article

Adaptive robust beamformer formulti-pair two-way relay networks with imperfect channel state information

Jin WANG,Feng SHU,Ri-qing CHEN,Yu-di CUI,Yu CHEN,Jun LI

Journal Article

Ground-based Hyperspectral Stereoscopic Remote Sensing Network: A Promising Strategy to Learn Coordinated Control of O3 and PM2.5 over China

Cheng Liu, Chengzhi Xing, Qihou Hu, Qihua Li, Haoran Liu, Qianqian Hong, Wei Tan, Xiangguang Ji, Hua Lin, Chuan Lu, Jinan Lin, Hanyang Liu, Shaocong Wei, Jian Chen, Kunpeng Yang, Shuntian Wang, Ting Liu, Yujia Chen

Journal Article