State University of New York System

About: State University of New York System is a education organization based out in Albany, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 54077 authors who have published 78070 publications receiving 2985160 citations.

Myalgic encephalomyelitis: International Consensus Criteria

Abstract: 12 FatigueConsultationClinic,SaltLake RegionalMedicalCenter; 13 InternalMedicine,FamilyPractice,UniversityofUtah,SaltLakeCity,UT,USA; 14 ME ⁄CFSCenter,OsloUniversity HospitalHF,Norway; 15 DepartmentofPaediatrics,StateUniversityofNewYork,Buffalo,NY,USA; 16 Independent,Pavia,Italy; 17 Harbor-UCLA MedicalCenter,UniversityofCalifornia,LosAngeles,CA; 18 EVMedResearch,Lomita,CA,USA; 19 UniversityofLimerick,Limerick,Ireland; 20 Pain Clinic,KonyangUniversityHospital,Daejeon,Korea; 21 DonvaleSpecialistMedicalCentre,Donvale,Victoria,Australia; 22 Departmentsof Anesthesiology,NeurobiologyandAnatomy,UniversityofUtah,SaltLakeCity,UT,USA; 23 DepartmentofMedicinaNuclear,ClinicaLasCondes, Santiago,Chile; 24 WhittemorePetersonInstitute,UniversityofNevada,Reno,NV,USA; 25 MiwaNaikaClinic,Toyama,Japan; 26 A.Kirchenstein InstituteofMicrobiologyandVirology,RigaStradinsUniversity,Riga,Latvia; 27 DepartmentofBiochemistryBand 28 DepartmentofSportsSciences,UniversityofthePacific,Stockton,CAUSA

myc function and regulation.

Abstract: PERSPECTIVES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 810 myc BELO NG S TO A SMALL FAM ILY OF H IGHLY RELAT ED PROTO -O NCOGENES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 811 General Structure-Function Properties of c-myc Polypeptides . . . . . . . . . . . . . . . . . . . . . . . . . . 813 Light at the End of the myc Tunnel: A DNA-Binding Site and an Elusive Protein Partner . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ........ 815 EFFECT S O N A ND BY myc IN CELL -CYCL E PROG RESSIO N A ND PROLIFERA TIO N. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . 817 EFFECT S O N A ND BY myc IN D IFFERENT IATO N. . . . . ... . .. ..... ...... . . . . . . 821 TUMO RIG ENESIS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . .. . . . . 824 A ROL E FO R c-myc IN D NA REPL ICAT IO N: FA CT OR FA NTA SY ? . . . . . . 827 REG ULAT IO N O F myc A ND BY myc . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 828 myc Autoregulation 828 Regulation of Other Cellular Genes by myc . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 830 Regulation of myc Transcriptional Initiation 831 Regulation of myc Transcriptional Elongation 838 Other Oncoproteins Contribute co myc Transcriptional Regulation . . . . . . . . . . . . . . . . . . . . 841 Significance of c-myc Antisense Transcription 842 Posttranscriptional Control of c-myc Expression 843 MODES O F myc ACTIVATIO N IN MALIG NA NC IES. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 845 Gene Amplification 845 Proviral Insertion 845 Chromosomal Translocations 846 myc INTERACT IO NS W ITH T UMO R SUPPRESSO RS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 849 RETRO SPECT IV E. . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . .... . . ..... . . . . .. . . . . . . . . . . .. . .. . . ... . . . . . . .... . . . . 850

Using high-dimensional image models to perform highly undetectable steganography

Abstract: This paper presents a complete methodology for designing practical and highly-undetectable stegosystems for real digital media. The main design principle is to minimize a suitably-defined distortion by means of efficient coding algorithm. The distortion is defined as a weighted difference of extended state-of-the-art feature vectors already used in steganalysis. This allows us to "preserve" the model used by steganalyst and thus be undetectable even for large payloads. This framework can be efficiently implemented even when the dimensionality of the feature set used by the embedder is larger than 107. The high dimensional model is necessary to avoid known security weaknesses. Although high-dimensional models might be problem in steganalysis, we explain, why they are acceptable in steganography. As an example, we introduce HUGO, a new embedding algorithm for spatial-domain digital images and we contrast its performance with LSB matching. On the BOWS2 image database and in contrast with LSB matching, HUGO allows the embedder to hide 7× longer message with the same level of security level.

Great ape genetic diversity and population history

Abstract: Most great ape genetic variation remains uncharacterized; however, its study is critical for understanding population history, recombination, selection and susceptibility to disease. Here we sequence to high coverage a total of 79 wild- and captive-born individuals representing all six great ape species and seven subspecies and report 88.8 million single nucleotide polymorphisms. Our analysis provides support for genetically distinct populations within each species, signals of gene flow, and the split of common chimpanzees into two distinct groups: Nigeria-Cameroon/western and central/eastern populations. We find extensive inbreeding in almost all wild populations, with eastern gorillas being the most extreme. Inferred effective population sizes have varied radically over time in different lineages and this appears to have a profound effect on the genetic diversity at, or close to, genes in almost all species. We discover and assign 1,982 loss-of-function variants throughout the human and great ape lineages, determining that the rate of gene loss has not been different in the human branch compared to other internal branches in the great ape phylogeny. This comprehensive catalogue of great ape genome diversity provides a framework for understanding evolution and a resource for more effective management of wild and captive great ape populations.