LEADER 03399 am 22007213u 450 001 9910341841503321 005 20231221125034.0 010 $a1-61451-693-6 010 $a1-61451-934-X 024 7 $a10.1515/9781614516934 035 $a(CKB)3360000000515262 035 $a(EBL)1652317 035 $a(SSID)ssj0001402475 035 $a(PQKBManifestationID)11798714 035 $a(PQKBTitleCode)TC0001402475 035 $a(PQKBWorkID)11358129 035 $a(PQKB)11790765 035 $a(MiAaPQ)EBC1652317 035 $a(DE-B1597)426757 035 $a(OCoLC)1013961184 035 $a(OCoLC)951149499 035 $a(DE-B1597)9781614516934 035 $a(Au-PeEL)EBL1652317 035 $a(CaPaEBR)ebr11006232 035 $a(CaONFJC)MIL807861 035 $a(OCoLC)900826231 035 $z(PPN)202027910 035 $a(PPN)186042566 035 $a(EXLCZ)993360000000515262 100 $a20141027h20142014 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMelothesia in Babylonia $emedicine, magic, and astrology in the ancient near east /$fby Markham J. Geller 210 1$aBoston :$cDe Gruyter,$d[2014] 210 4$d©2014 215 $a1 online resource (112 p.) 225 1 $aScience, technology, and medicine in ancient cultures,$x2194-976X ;$vvolume 2 300 $aDescription based upon print version of record. 311 $a1-61451-775-4 320 $aIncludes bibliographical references and index. 327 $aIntroduction: globalisation of knowledge -- The Uruk taxonomy (SBTU I 43) -- Uruk astral magic (BRM 4 20 and BRM 4 19) -- The Neo-Assyrian precursor: before the zodiac -- Ancient Aramaic and Greek parallels -- Astrological interpretation of SBTU I 43 -- Melothesia -- Concluding hypothesis -- Appendix: modern reflections. 330 $aThis monograph begins with a puzzle: a Babylonian text from late 5th century BCE Uruk associating various diseases with bodily organs, which has evaded interpretation. The correct answer may reside in Babylonian astrology, since the development of the zodiac in the late 5th century BCE offered innovative approaches to the healing arts. The zodiac-a means of predicting the movements of heavenly bodies-transformed older divination (such as hemerologies listing lucky and unlucky days) and introduced more favorable magical techniques and medical prescriptions, which are comparable to those found in Ptolemy's Tetrabiblos and non-Hippocratic Greek medicine. Babylonian melothesia (i.e., the science of charting how zodiacal signs affect the human body) offers the most likely solution explaining the Uruk tablet. 410 0$aScience, technology, and medicine in ancient cultures ;$vv. 2. 606 $aMedicine, Assyro-Babylonian 606 $aMedicine, Assyro-Babylonian$xPhilosophy 606 $aMagic, Assyro-Babylonian 610 $aastrology, medicine, magic, melothesia. 615 0$aMedicine, Assyro-Babylonian. 615 0$aMedicine, Assyro-Babylonian$xPhilosophy. 615 0$aMagic, Assyro-Babylonian. 676 $a610.935 686 $aEM 2850$qSEPA$2rvk 700 $aGeller$b Markham J.$0315054 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910341841503321 996 $aMelothesia in Babylonia$91946283 997 $aUNINA LEADER 02828nam 2200517 a 450 001 9910781173303321 005 20200520144314.0 010 $a1-61668-632-4 035 $a(CKB)2550000000010786 035 $a(EBL)3020119 035 $a(SSID)ssj0000418798 035 $a(PQKBManifestationID)12153865 035 $a(PQKBTitleCode)TC0000418798 035 $a(PQKBWorkID)10377256 035 $a(PQKB)11162021 035 $a(MiAaPQ)EBC3020119 035 $a(Au-PeEL)EBL3020119 035 $a(CaPaEBR)ebr10675127 035 $a(OCoLC)847729223 035 $a(EXLCZ)992550000000010786 100 $a20090202d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aGlycolysis$b[electronic resource] $eregulation, processes and diseases /$fPaul N. Lithaw, editor 210 $aHauppauge, N.Y. $cNova Science Publishers$dc2009 215 $a1 online resource (210 p.) 225 1 $aBiochemistry research trends series 300 $aDescription based upon print version of record. 311 $a1-60741-103-2 320 $aIncludes bibliographical references and index. 327 $aRegulation of glycolysis in lactococcus lactis / Maria Papagianni -- The cancer-hypoxia/decreased respiration-glycolysis connection : new insights from Nobel Prize-winner, Otto Warburg, MD / Brian Scott Peskin -- Pattern formation and dissipation in a model glycolytic system : the effect of complexing reaction with the activator / Arun K. Dutt -- The role of skeletal muscle glycolysis in whole body metabolic regulation and type 2 diabetes / Jørgen Jensen -- Glycolysis and the lung / G.S. Maritz -- Transcriptional and post-transcriptional regulation of glycolysis in microbial cells / Dave Siak-Wei Ow ... [et al.] -- Blood lactate concentrations, resistive force selection, and high intensity cycle ergometry. Is intense running ability related? / Julien Steven Baker and Bruce Davies -- Blood lactate concentrations following repeat brief maximal intermittent exercise in man. Glycolytic energy supply and influence of plasma volume changes / Julien S. Baker ... [et al.] -- Mathematical modeling as a tool for decoding the control of metabolic pathways / Eberhard Voit -- Influencing metabolism during critical illness : potential novel strategies / N.P. Juffermans ... [et al.] -- The anti-aging effect of enhanced glycolysis : another role of the Warburg effect / Hiroshi Kondoh, Takeshi Maruyama. 410 0$aBiochemistry research trends series. 606 $aGlycolysis 615 0$aGlycolysis. 676 $a572/.567 701 $aLithaw$b Paul N$01576110 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910781173303321 996 $aGlycolysis$93853595 997 $aUNINA LEADER 07413nam 22007693u 450 001 9910971390103321 005 20240402103601.0 010 $a9781118848739 010 $a111884873X 035 $a(CKB)2560000000147408 035 $a(EBL)1659273 035 $a(SSID)ssj0001212511 035 $a(PQKBManifestationID)11788048 035 $a(PQKBTitleCode)TC0001212511 035 $a(PQKBWorkID)11210777 035 $a(PQKB)11568791 035 $a(Au-PeEL)EBL7104138 035 $a(CaSebORM)9781118848739 035 $a(MiAaPQ)EBC1659273 035 $a(MiAaPQ)EBC7104138 035 $a(OCoLC)907481686 035 $a(OCoLC)ocn907481686 035 $a(Perlego)1001112 035 $a(EXLCZ)992560000000147408 100 $a20140407d2014|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 12$aA Practical Introduction to Computer Vision with OpenCV 205 $a1st edition 210 $aHoboken $cWiley$d2014 215 $a1 online resource (235 p.) 225 1 $aNew York Academy of Sciences 300 $aDescription based upon print version of record. 311 08$a9781118848456 311 08$a1118848454 320 $aIncludes bibliographical references and index. 327 $aA Practical Introduction to Computer Vision with OpenCV; Contents; Preface; 1 Introduction; 1.1 A Difficult Problem; 1.2 The Human Vision System; 1.3 Practical Applications of Computer Vision; 1.4 The Future of Computer Vision; 1.5 Material in This Textbook; 1.6 Going Further with Computer Vision; 2 Images; 2.1 Cameras; 2.1.1 The Simple Pinhole Camera Model; 2.2 Images; 2.2.1 Sampling; 2.2.2 Quantisation; 2.3 Colour Images; 2.3.1 Red-Green-Blue (RGB) Images; 2.3.2 Cyan-Magenta-Yellow (CMY) Images; 2.3.3 YUV Images; 2.3.4 Hue Luminance Saturation (HLS) Images; 2.3.5 Other Colour Spaces 327 $a2.3.6 Some Colour Applications2.4 Noise; 2.4.1 Types of Noise; 2.4.2 Noise Models; 2.4.3 Noise Generation; 2.4.4 Noise Evaluation; 2.5 Smoothing; 2.5.1 Image Averaging; 2.5.2 Local Averaging and Gaussian Smoothing; 2.5.3 Rotating Mask; 2.5.4 Median Filter; 3 Histograms; 3.1 1D Histograms; 3.1.1 Histogram Smoothing; 3.1.2 Colour Histograms; 3.2 3D Histograms; 3.3 Histogram/Image Equalisation; 3.4 Histogram Comparison; 3.5 Back-projection; 3.6 k-means Clustering; 4 Binary Vision; 4.1 Thresholding; 4.1.1 Thresholding Problems; 4.2 Threshold Detection Methods; 4.2.1 Bimodal Histogram Analysis 327 $a4.2.2 Optimal Thresholding4.2.3 Otsu Thresholding; 4.3 Variations on Thresholding; 4.3.1 Adaptive Thresholding; 4.3.2 Band Thresholding; 4.3.3 Semi-thresholding; 4.3.4 Multispectral Thresholding; 4.4 Mathematical Morphology; 4.4.1 Dilation; 4.4.2 Erosion; 4.4.3 Opening and Closing; 4.4.4 Grey-scale and Colour Morphology; 4.5 Connectivity; 4.5.1 Connectedness: Paradoxes and Solutions; 4.5.2 Connected Components Analysis; 5 Geometric Transformations; 5.1 Problem Specification and Algorithm; 5.2 Affine Transformations; 5.2.1 Known Affine Transformations; 5.2.2 Unknown Affine Transformations 327 $a5.3 Perspective Transformations5.4 Specification of More Complex Transformations; 5.5 Interpolation; 5.5.1 Nearest Neighbour Interpolation; 5.5.2 Bilinear Interpolation; 5.5.3 Bi-Cubic Interpolation; 5.6 Modelling and Removing Distortion from Cameras; 5.6.1 Camera Distortions; 5.6.2 Camera Calibration and Removing Distortion; 6 Edges; 6.1 Edge Detection; 6.1.1 First Derivative Edge Detectors; 6.1.2 Second Derivative Edge Detectors; 6.1.3 Multispectral Edge Detection; 6.1.4 Image Sharpening; 6.2 Contour Segmentation; 6.2.1 Basic Representations of Edge Data; 6.2.2 Border Detection 327 $a6.2.3 Extracting Line Segment Representations of Edge Contours6.3 Hough Transform; 6.3.1 Hough for Lines; 6.3.2 Hough for Circles; 6.3.3 Generalised Hough; 7 Features; 7.1 Moravec Corner Detection; 7.2 Harris Corner Detection; 7.3 FAST Corner Detection; 7.4 SIFT; 7.4.1 Scale Space Extrema Detection; 7.4.2 Accurate Keypoint Location; 7.4.3 Keypoint Orientation Assignment; 7.4.4 Keypoint Descriptor; 7.4.5 Matching Keypoints; 7.4.6 Recognition; 7.5 Other Detectors; 7.5.1 Minimum Eigenvalues; 7.5.2 SURF; 8 Recognition; 8.1 Template Matching; 8.1.1 Applications; 8.1.2 Template Matching Algorithm 327 $a8.1.3 Matching Metrics 330 $aExplains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard. OpenCV libraries Computer Vision is a rapidly expanding area and it is becoming progressively easier for developers to make use of this field due to the ready availability of high quality libraries (such as OpenCV 2). This text is intended to facilitate the practical use of computer vision with the goal being to bridge the gap between the theory and the practical implementation of computer vision. The book will explain how to use the relevant OpenCV library routines and will be accompanied by a full working program including the code snippets from the text. This textbook is a heavily illustrated, practical introduction to an exciting field, the applications of which are becoming almost ubiquitous. We are now surrounded by cameras, for example cameras on computers & tablets/ cameras built into our mobile phones/ cameras in games consoles; cameras imaging difficult modalities (such as ultrasound, X-ray, MRI) in hospitals, and surveillance cameras. This book is concerned with helping the next generation of computer developers to make use of all these images in order to develop systems which are more intuitive and interact with us in more intelligent ways. Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard. OpenCV libraries offers an introduction to computer vision, with enough theory to make clear how the various algorithms work but with an emphasis on practical programming issues. Provides enough material for a one semester course in computer vision at senior undergraduate and Masters levels. Includes the basics of cameras and images and image processing to remove noise, before moving on to topics such as image histogramming; binary imaging; video processing to detect and model moving objects; geometric operations & camera models; edge detection; features detection; recognition in images. Contains a large number of vision application problems to provide students with the opportunity to solve real problems. Images or videos for these problems are provided in the resources associated with this book. 410 0$aNew York Academy of Sciences 606 $aComputer vision$xComputer programs 606 $aComputer vision 606 $aEngineering & Applied Sciences$2HILCC 606 $aApplied Physics$2HILCC 615 0$aComputer vision$xComputer programs. 615 0$aComputer vision. 615 7$aEngineering & Applied Sciences 615 7$aApplied Physics 676 $a006.3/7 676 $a006.37 686 $aCOM016000$2bisacsh 700 $aDawson-Howe$b Kenneth$01807887 702 $aDawson-Howe$b Kenneth 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910971390103321 996 $aA Practical Introduction to Computer Vision with OpenCV$94357870 997 $aUNINA