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1. Full Text On finite groups with generalized σ-subnormal Schmidt subgroups
by Hu, Bin and Huang, Jianhong
Communications in Algebra, ISSN 0092-7872, 07/2018, Volume 46, Issue 7, pp. 3127 - 3134
Let G be a finite group and σ = {σ i |i∈I} some partition of the set of all primes. A subgroup A of G is said to be generalized σ-subnormal in G if A = ⟨L,T⟩,... 
finite group | generalized σ-subnormal subgroup | 20D10 | Schmidt subgroup | σ-Nilpotent group | 20D15 | modular subgroup
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2. Full Text On finite groups with generalized [sigma]-subnormal Schmidt subgroups
by Bin Hu and Jianhong Huang
Communications in Algebra, ISSN 0092-7872, 07/2018, Volume 46, Issue 7, p. 3127
Let G be a finite group and σ = {σi|i[element of]I} some partition of the set of all primes. A subgroup A of G is said to be generalized σ-subnormal in G if A... 
Subgroups
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3. Full Text Prevalence and Control of Diabetes in Chinese Adults
by Xu, Yu and Wang, Limin and He, Jiang and Bi, Yufang and Li, Mian and Wang, Tiange and Wang, Linhong and Jiang, Yong and Dai, Meng and Lu, Jieli and Xu, Min and Li, Yichong and Hu, Nan and Li, Jianhong and Mi, Shengquan and Chen, Chung-Shiuan and Li, Guangwei and Mu, Yiming and Zhao, Jiajun and Kong, Lingzhi and Chen, Jialun and Lai, Shenghan and Wang, Weiqing and Zhao, Wenhua and Ning, Guang and 2010 China Noncommunicable Dis Sur and 2010 China Noncommunicable Disease Surveillance Group
JAMA, ISSN 0098-7484, 09/2013, Volume 310, Issue 9, pp. 948 - 959
IMPORTANCE Noncommunicable chronic diseases have become the leading causes of mortality and disease burden worldwide. OBJECTIVE To investigate the prevalence... 
SYSTEMATIC ANALYSIS | GLOBAL BURDEN | MEDICINE, GENERAL & INTERNAL | RISK-FACTORS | DISEASE | IMPAIRED FASTING GLUCOSE | REGIONAL MORTALITY | DEATH | MELLITUS | HEALTH | CANCER | Diabetes Mellitus - blood | Glycated Hemoglobin A - analysis | Glucose Tolerance Test | Prevalence | Age Factors | Blood Glucose - analysis | Cross-Sectional Studies | Humans | Middle Aged | Male | Data Collection | China - epidemiology | Urban Population | Young Adult | Rural Population | Diabetes Mellitus - epidemiology | Diabetes Mellitus - therapy | Adolescent | Adult | Female | Aged | Diabetes Mellitus - diagnosis | Prediabetic State - epidemiology | Demographic aspects | Public health | Diabetes | Mortality | Asians | Index Medicus | Abridged Index Medicus
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4. Full Text Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas
by Campbell, Joshua D and Yau, Christina and Bowlby, Reanne and Liu, Jia and Liu, Yuexin and Liu, Wenbin and Liu, Xiuping and Brennan, Kevin and Fan, Huihui and Fan, Cheng and Taylor, Alison M and Taylor, Barry S and Wang, Jioajiao and Wang, Min and Wang, Jing and Wang, Timothy and Wang, Zhining and Wang, Chen and Wang, Linghua and Walter, Vonn and Akbani, Rehan and Byers, Lauren Averett and Creighton, Chad J and Coarfa, Cristian and Shih, Juliann and Cherniack, Andrew D and Gevaert, Olivier and Prunello, Marcos and Shen, Ronglei and Shen, Hui and Anur, Pavana and Chen, Jianhong and Chen, Zhong and Chen, Ting-Wen and Chen, Amy and Chen, Chu and Cheng, Feixiong and Cheng, Hui and Hayes, D. Neil and Bullman, Susan and Pedamallu, Chandra Sekhar and Ojesina, Akinyemi I and Sadeghi, Sara and Mungall, Karen L and Mungall, Andrew J and Mungall, Karen and Robertson, A. Gordon and Benz, Christopher and Schultz, Andre and Schultz, Nikolaus and Kanchi, Rupa S and Gay, Carl M and Hegde, Apurva M and Hegde, Apurva and Diao, Lixia and Ma, Deqin and Ma, Wencai and Ma, Yussanne and Sumazin, Pavel and Chiu, Hua-Sheng and Gunaratne, Preethi and Donehower, Larry and Donehower, Lawrence A and Rader, Janet S and Zuna, Rosemary and Al-Ahmadie, Hikmat and Lazar, Alexander J and Flores, Elsa R and Tsai, Kenneth Y and Zhou, Jane H and Zhou, Wanding and Rustgi, Anil K and Drill, Esther and Wong, Tina and Wong, Christopher K and Caesar-Johnson, Samantha J and Demchok, John A and Felau, Ina and Kasapi, Melpomeni and Ferguson, Martin L and Hutter, Carolyn M and Sofia, Heidi J and Tarnuzzer, Roy and Yang, Ian and Yang, Liming and Yang, Ju Dong and Yang, Hannah and Zenklusen, Jean C and Zhang, Jiashan (Julia) and Zhang, Hailei and Zhang, Lizhi and Zhang, Hongzheng and Zhang, Wei and Zhang, Hongxin and Zhang, Jiexin and Chudamani, Sudha and Lolla, Laxmi and Naresh, Rashi and Pihl, Todd and Sun, Yichao and ... and Canc Genome Atlas Res Network and Cancer Genome Atlas Research Network and Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS)
Cell Reports, ISSN 2211-1247, 04/2018, Volume 23, Issue 1, pp. 194 - 212.e6
This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five... 
esophageal squamous cell carcinoma | cervical squamous cell carcinoma | proteomics | bladder carcinoma with squamous differentiation | human papillomavirus | transcriptomics | genomics | lung squamous cell carcinoma | head and neck squamous cell carcinoma | CANCERS | PHOSPHORYLATION | GENES | ANTITUMOR-ACTIVITY | INHIBITOR | PROTEINS | FANCONI-ANEMIA | HUMAN HEAD | EXPRESSION | CELL CARCINOMA | CELL BIOLOGY
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5. Full Text Exploring differentially expressed key genes related to development of follicle by RNA-seq in Peking ducks (Anas Platyrhynchos)
by Ren, Jindong and Sun, Changsen and Chen, Li and Hu, Jianhong and Huang, Xuetao and Liu, Xiaolin and Lu, Lizhi
PLoS ONE, ISSN 1932-6203, 06/2019, Volume 14, Issue 6, pp. e0209061 - e0209061
Duck follicles enter different reproductive phases throughout life, and follicle gene expression patterns differ according to these phases. In particular,... 
Genetic aspects | Research | Genetic transcription | Gene expression | Ducks | RNA | Genes | Cytochrome P-450 | Hormones | Comparative analysis | Transcription | Poultry | Zoology | Genomics | Genomes | Insulin-like growth factors | Aquatic birds | Follicles | Phase transitions | Gene sequencing | Proteins | Egg laying | Life sciences | Agriculture | Laying | Animal sciences | Youth | Ribonucleic acid--RNA | Protein expression | Endocrinology | Life cycles | Ribonucleic acid
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6. Full Text On generalized m-S-permutable subgroups of a finite group
by Huang, Jianhong and Hu, Bin
Communications in Algebra, ISSN 0092-7872, 03/2019, Volume 47, Issue 3, pp. 1299 - 1310
In this paper, we give some new conditions under which a normal subgroup E of a finite group G is hypercyclically embedded in G, that is, every chief factor of... 
20D10 | 20D20 | Finite group | generalized m-S-permutable subgroup | hypercyclically embedded subgroup | m-S-permutable subgroup | 20D15 | modular subgroup | MATHEMATICS | MINIMAL SUBGROUPS | C-NORMALITY | SYLOW SUBGROUPS | Subgroups
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7. Full Text Selection and evaluation of potential reference genes for gene expression analysis in the brown planthopper, Nilaparvata lugens (Hemiptera: Delphacidae) using reverse-transcription quantitative PCR
by Yuan, Miao and Lu, Yanhui and Zhu, Xun and Wan, Hu and Shakeel, Muhammad and Zhan, Sha and Jin, Byung-Rae and Li, Jianhong
PLoS ONE, ISSN 1932-6203, 01/2014, Volume 9, Issue 1, pp. e86503 - e86503
The brown planthopper (BPH), Nilaparvata lugens (Hemiptera, Delphacidae), is one of the most important rice pests. Abundant genetic studies on BPH have been... 
RHODNIUS-PROLIXUS HEMIPTERA | REAL-TIME PCR | POLYMERASE-CHAIN-REACTION | INTERNAL CONTROL | RNA | QUANTIFICATION | MULTIDISCIPLINARY SCIENCES | VALIDATION | RESISTANCE | NORMALIZATION | HOUSEKEEPING GENES | Hemiptera - drug effects | Temperature | Genes, Insect - genetics | Seeds - drug effects | Seeds - genetics | RNA, Messenger - genetics | Stress, Physiological | Real-Time Polymerase Chain Reaction - standards | Gene Expression Profiling | Oryza - drug effects | Reference Standards | Animals | Reverse Transcriptase Polymerase Chain Reaction - standards | Diet | Hemiptera - genetics | Oryza - genetics | Gene Expression Regulation, Developmental | Seeds - chemistry | Pesticides - pharmacology | Polymerase chain reaction | Genetic transcription | Muscle proteins | Tubulins | Ribosomal RNA | Genes | Laboratories | Viruses | Genomes | Kinases | Proteins | Tubulin | Developmental stages | Arginine | Body parts | Agrochemicals | Mathematical analysis | Actin | Population | Physiology | Plant sciences | Elongation | Rice | Starvation | Body temperature | Pesticides | Muscles | Exploration | Exposure | Pests | Gene expression | Real time | Studies | Insects | Ribonucleic acids | Arginine kinase | Stem cells | Software | rRNA 18S | Ribosomal protein S11 | Index Medicus
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8. Full Text Ago HITS-CLIP Expands Understanding of Kaposi's Sarcoma-associated Herpesvirus miRNA Function in Primary Effusion Lymphomas
by Haecker, Irina and Gay, Lauren A and Yang, Yajie and Hu, Jianhong and Morse, Alison M and McIntyre, Lauren M and Renne, Rolf
PLoS Pathogens, ISSN 1553-7366, 08/2012, Volume 8, Issue 8, pp. e1002884 - e1002884
KSHV is the etiological agent of Kaposi's sarcoma (KS), primary effusion lymphoma (PEL), and a subset of multicentricCastleman's disease (MCD). The fact that... 
STATISTICAL-METHODS | DNA-SEQUENCES | WIDE IDENTIFICATION | VIRUS-ENCODED MICRORNAS | MICROBIOLOGY | MONOCLONAL-ANTIBODY | BINDING PROTEIN | CELLULAR GENE-EXPRESSION | VIROLOGY | HUMAN GAMMA-HERPESVIRUSES | RNA-SEQ | PARASITOLOGY | TRANSGENIC MICE | Lymphoma, Primary Effusion - metabolism | Cell Cycle - genetics | Cell Line | Cyclin D1 - metabolism | Sarcoma, Kaposi - metabolism | Humans | Apoptosis - genetics | Herpesvirus 8, Human - genetics | Lymphoma, Primary Effusion - virology | MicroRNAs - metabolism | Sarcoma, Kaposi - virology | RNA, Neoplasm - metabolism | RNA, Viral - genetics | Cyclin D1 - genetics | Herpesvirus 8, Human - metabolism | RNA, Neoplasm - genetics | MicroRNAs - genetics | RNA, Viral - metabolism | Lymphoma, Primary Effusion - genetics | Sarcoma, Kaposi - genetics | RNA | Viral genetics | Kaposi's sarcoma | Physiological aspects | Development and progression | Genetic aspects | Lymphomas | Herpesviruses | Research | Virulence (Microbiology) | Health aspects | Cancer | Pathogenesis | Herpes viruses | Cell cycle | Gene expression | Bioinformatics | Kaposis sarcoma | Tumors | Apoptosis | Index Medicus
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9. Full Text Identification and Validation of Reference Genes for Gene Expression Analysis Using Quantitative PCR in Spodoptera litura (Lepidoptera: Noctuidae)
by Lu, Yanhui and Yuan, Miao and Gao, Xiwu and Kang, Tinghao and Zhan, Sha and Wan, Hu and Li, Jianhong
PLoS ONE, ISSN 1932-6203, 07/2013, Volume 8, Issue 7, pp. e68059 - e68059
Reverse transcription quantitative polymerase chain reaction (qRT-PCR) has rapidly become the most sensitive and accurate method for the quantification of gene... 
RHODNIUS-PROLIXUS HEMIPTERA | POLYMERASE-CHAIN-REACTION | MULTIDISCIPLINARY SCIENCES | RESISTANCE | DIAMONDBACK MOTH | NORMALIZATION | TISSUES | SELECTION | HOUSEKEEPING GENES | REAL-TIME | Genes, Insect | Reproducibility of Results | Animals | Stress, Physiological - genetics | Computational Biology | Gene Expression Regulation | Molecular Sequence Data | Female | Male | Gene Expression Profiling | Real-Time Polymerase Chain Reaction | Spodoptera - genetics | Polymerase chain reaction | Insecticides | Ecosystem components | Gene expression | Genes | Cytochrome | Phosphates | Larvae | Temperature | Laboratories | Genomics | Reverse transcription | Kinases | Tissues | Experiments | Proteins | Ubiquinol | Developmental stages | Arginine | Agrochemicals | Actin | Plant sciences | Elongation | Starvation | Ribosomal protein S3 | Biological assays | Studies | Biotic factors | Cytochrome c | Population (statistical) | Insects | Ribosomal protein L10 | Arginine kinase | Glyceraldehyde-3-phosphate dehydrogenase | Software | Electron transport | Reductase | Index Medicus
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10. Full Text Parameter Synthesis of Coupled Nonlinear Oscillators for CPG-Based Robotic Locomotion
by Yonghui Hu and Jianhong Liang and Tianmiao Wang
IEEE Transactions on Industrial Electronics, ISSN 0278-0046, 11/2014, Volume 61, Issue 11, pp. 6183 - 6191
This paper presents a numerical method for parameter synthesis of a central pattern generator (CPG) network to acquire desired locomotor patterns. The CPG... 
Couplings | Robot kinematics | Biological system modeling | Mathematical model | Education | Oscillators | Central pattern generators (CPGs) | parameter synthesis | robotic fish | Hopf oscillator | online learning | WALKING | MODEL | CENTRAL PATTERN GENERATORS | ENGINEERING, ELECTRICAL & ELECTRONIC | INSPIRED CONTROL | INSTRUMENTS & INSTRUMENTATION | FISH | AUTOMATION & CONTROL SYSTEMS | Measurement | Usage | Frequency modulation | Oscillators (Electronics) | Numerical analysis | Innovations | Electric generators | Signal processing
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11. Carl Schmitt and Leo Strauss in the Chinese-speaking world
: reorienting the political
by Marchal, Kai, editor and Shaw, Carl K. Y., 1961- editor
2017, ISBN 9781498536264, vii, 281 pages
Schmitt, Carl, 1888-1985 Political and social views | Strauss, Leo Political and social views | Political science | Schmitt, Carl, 1888-1985 Influence | Strauss, Leo Influence | Philosophy
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12. Full Text The Immune Landscape of Cancer
by Thorsson, Vesteinn and Thorsson, Vésteinn and Gibbs, Richard A and Gibbs, David L and Brown, Scott D and Wolf, Gregory and Wolf, Denise and Bortone, Dante S and Ou Yang, Tai-Hsien and Porta-Pardo, Eduard and Gao, Galen F and Gao, Jianjiong and Plaisier, Christopher L and Eddy, James A and Ziv, Elad and Culhane, Aedin C and Paull, Evan O and Sivakumar, I.K. Ashok and Gentles, Andrew J and Malhotra, Raunaq and Farshidfar, Farshad and Colaprico, Antonio and Parker, Joel S and Mose, Lisle E and Vo, Nam Sy and Liu, Wenbin and Liu, Jianfang and Liu, Jia and Liu, Yuexin and Liu, Xiuping and Rader, Janet and Dhankani, Varsha and Reynolds, Sheila and Reynolds, Sheila M and Bowlby, Reanne and Califano, Andrea and Cherniack, Andrew D and Anastassiou, Dimitris and Bedognetti, Davide and Mokrab, Younes and Newman, Aaron M and Rao, Arvind and Chen, Amy and Chen, Chu and Chen, Ken and Krasnitz, Alexander and Hu, Jianhong and Hu, Hai and Malta, Tathiane M and Noushmehr, Houtan and Pedamallu, Chandra Sekhar and Bullman, Susan and Ojesina, Akinyemi I and Lamb, Andrew and Zhou, Wanding and Shen, Hui and Choueiri, Toni K and Weinstein, John N and Guinney, Justin and Saltz, Joel and Holt, Robert and Holt, Robert A and Rabkin, Charles S and Caesar-Johnson, Samantha J and Demchok, John A and Felau, Ina and Kasapi, Melpomeni and Ferguson, Martin L and Hutter, Carolyn M and Sofia, Heidi J and Tarnuzzer, Roy and Wang, Jioajiao and Wang, Min and Wang, Linghua and Wang, Zhining and Wang, Timothy and Wang, Jing and Yang, Ju Dong and Yang, Hannah and Yang, Liming and Yang, Ian and Zenklusen, Jean C and Zhang, Jiashan (Julia) and Zhang, Jiexin and Zhang, Lizhi and Zhang, Wei and Zhang, Hongzheng and Zhang, Hailei and Zhang, Hongxin and Chudamani, Sudha and Lolla, Laxmi and Naresh, Rashi and Pihl, Todd and Sun, Yichao and Sun, Qiang and Wan, Yunhu and Wu, Ye and Cho, Juok and DeFreitas, Timothy and Frazer, Scott and ... and Canc Genome Atlas Res Network and Cancer Genome Atlas Research Network
Immunity, ISSN 1074-7613, 04/2018, Volume 48, Issue 4, pp. 812 - 830.e14
We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across... 
tumor immunology | immunotherapy | cancer genomics | integrative network analysis | immuno-oncology | tumor microenvironment | immune subtypes | immunomodulatory | GENOMIC ANALYSES | INFORMATION | T-CELL-RECEPTOR | REGULATORY NETWORK | CLASSIFICATION | IMMUNOLOGY | SEQUENCING DATA | SOMATIC MUTATIONS | COMPREHENSIVE ANALYSIS | PREDICTION | REVEALS | Transforming Growth Factor beta - immunology | Prognosis | Humans | Middle Aged | Th1-Th2 Balance - physiology | Male | Neoplasms - classification | Wound Healing - immunology | Young Adult | Transforming Growth Factor beta - genetics | Neoplasms - genetics | Neoplasms - immunology | Interferon-gamma - immunology | Adolescent | Aged, 80 and over | Adult | Female | Aged | Interferon-gamma - genetics | Wound Healing - genetics | Genomics - methods | Child | Macrophages - immunology | Cell proliferation | Cluster analysis | Transcription | Copy number | p53 Protein | Lung cancer | Genomics | Aneuploidy | Lymphocytes T | Genomes | Cell interactions | Macrophages | Immunotherapy | DNA methylation | Deoxyribonucleic acid--DNA | Immune system | Medical research | Wound healing | Immunomodulation | MiRNA | Stockholders | Inflammation | T cell receptors | Communications networks | Gene expression | White blood cells | Inventors | Medical prognosis | γ-Interferon | Mutation | Cancer | Tumors | Index Medicus | Immune Subtypes | Integrative Network Analysis | Cancer Genomics | Immuno-oncology | Tumor immunology
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