Computer Architecture Figure 4.1

Total Page:16

File Type:pdf, Size:1020Kb

Computer Architecture Figure 4.1 Chapter 4 Computer Architecture Figure 4.1 Input Central Main Output device processing unit memory device Bus Data flow Control Figure 4.1 Figure 4.2 Central processing unit (CPU) .:6# Status bits (.:6#) Accumulator ( ! ) Index register ( 8 ) Program counter (0#) Stack pointer (30) Instruction register ()2) Figure 4.3 Main memory 0000 0001 0002 0003 0004 0005 0006 . FFFE FFFF Figure 4.4 Main memory 0000 0003 0004 0007 000A 000B 000D . 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 000B 000B 1 1 0 1 0 0 0 1Figure 4.5 1 1 0 1 0 0 0 1 000C 000C 0 0 0 0 0 0 1 0 (a) The content in binary. (a) The content in binary. 000B 1 1 0 1 0 0 0 1 02 D1 02 D1 000C 000B 000C 000B 000C (a) The content in binary. (b) The content in hexadecimal. (b) The content in hexadecimal. 02 D1 000B 02D1 000B 02D1 000B 000C (c) The content in a machine (b) The content in(c) hexadecimal. The contentlanguage in a machine listing. language listing. 000B 02D1 (c) The content in a machine language listing. Figure 4.6 Instruction Specifier Instruction 0000 0000 Stop execution 0000 0001 Return from trap 0000 0010 Move stack pointer (SP) to accumulator (A) 0000 0011 Move NZVC flags to accumulator (A) 0000 010a Branch unconditional 0000 011a Branch if less than or equal to 0000 100a Branch if less than 0000 101a Branch if equal to 0000 110a Branch if not equal to 0000 111a Branch if greater than or equal to 0001 000a Branch if greater than 0001 001a Branch if V 0001 010a Branch if C 0001 011a Call subroutine 0001 100r Bitwise invert register r 0001 101r Negate register r 0001 110r Arithmetic shift left register r 0001 111r Arithmetic shift right register r 0010 000r Rotate left register r 0010 001r Rotate right register r 0010 01n Unimplemented opcode, unary trap 0010 1aaa Unimplemented opcode, nonunary trap 0011 0aaa Unimplemented opcode, nonunary trap 0011 1aaa Unimplemented opcode, nonunary trap 0100 0aaa Unimplemented opcode, nonunary trap 0100 1aaa Character input 0101 0aaa Character output 0101 1nn Return from call with n local bytes 0110 0aaa Add to stack pointer (SP) 0110 1aaa Subtract from stack pointer (SP) 0111 raaa Add to register r 1000 raaa Subtract from register r 1001 raaa Bitwise AND to register r 1010 raaa Bitwise OR to register r 1011 raaa Compare register r 1100 raaa Load register r from memory 1101 raaa Load byte register r from memory 1110 raaa Store register r to memory 1111 raaa Store byte register r to memory Instruction Specifier Instruction 0000 0000 Stop execution 0000 0001 Return from trap 0000 0010 Move stack pointer (SP) to accumulator (A) 0000 0011 Move NZVC flags to accumulator (A) 0000 010a Branch unconditional 0000 011a Branch if less than or equal to 0000 100a Branch if less than 0000 101a Branch if equal to 0000 110a Branch if not equal to 0000 111a Branch if greater than or equal to 0001 000a Branch if greater than 0001 001a Branch if V Figure 4.6 0001 010a Branch if C (Continued) 0001 011a Call subroutine 0001 100r Bitwise invert register r 0001 101r Negate register r 0001 110r Arithmetic shift left register r 0001 111r Arithmetic shift right register r 0010 000r Rotate left register r 0010 001r Rotate right register r 0010 01n Unimplemented opcode, unary trap 0010 1aaa Unimplemented opcode, nonunary trap 0011 0aaa Unimplemented opcode, nonunary trap 0011 1aaa Unimplemented opcode, nonunary trap 0100 0aaa Unimplemented opcode, nonunary trap 0100 1aaa Character input 0101 0aaa Character output 0101 1nn Return from call with n local bytes 0110 0aaa Add to stack pointer (SP) 0110 1aaa Subtract from stack pointer (SP) 0111 raaa Add to register r 1000 raaa Subtract from register r 1001 raaa Bitwise AND to register r 1010 raaa Bitwise OR to register r 1011 raaa Compare register r 1100 raaa Load register r from memory 1101 raaa Load byte register r from memory 1110 raaa Store register r to memory 1111 raaa Store byte register r to memory Instruction Specifier Instruction 0000 0000 Stop execution 0000 0001 Return from trap 0000 0010 Move stack pointer (SP) to accumulator (A) 0000 0011 Move NZVC flags to accumulator (A) 0000 010a Branch unconditional 0000 011a Branch if less than or equal to 0000 100a Branch if less than 0000 101a Branch if equal to 0000 110a Branch if not equal to 0000 111a Branch if greater than or equal to 0001 000a Branch if greater than 0001 001a Branch if V 0001 010a Branch if C 0001 011a Call subroutine 0001 100r Bitwise invert register r 0001 101r Negate register r 0001 110r Arithmetic shift left register r 0001 111r Arithmetic shift right register r 0010 000r Rotate left register r 0010 001r Rotate right register r 0010 01n Unimplemented opcode, unary trap 0010 1aaa Unimplemented opcode, nonunary trap 0011 0aaa Unimplemented opcode, nonunary trap 0011 1aaa Unimplemented opcode, nonunary trap 0100 0aaa Unimplemented opcode, nonunary trap 0100 1aaa Character input Figure 4.6 0101 0aaa Character output (Continued) 0101 1nn Return from call with n local bytes 0110 0aaa Add to stack pointer (SP) 0110 1aaa Subtract from stack pointer (SP) 0111 raaa Add to register r 1000 raaa Subtract from register r 1001 raaa Bitwise AND to register r 1010 raaa Bitwise OR to register r 1011 raaa Compare register r 1100 raaa Load register r from memory 1101 raaa Load byte register r from memory 1110 raaa Store register r to memory 1111 raaa Store byte register r to memory Figure 4.7 Instruction specifier Operand specifier (a) The two parts of a nonunary instruction Instruction specifier (b) A unary instruction Figure 4.7 Figure 4.8 aaa Addressing mode a Addressing mode r Register 000 Immediate 0 Immediate 0 Accumulator, A 001 Direct 1 Indexed 1 Index register, X 010 Indirect 011 Stack-relative (b) The addressing-a field. (c) The register-r field. 100 Stack-relative deferred 101 Indexed 110 Stack-indexed 111 Stack-indexed deferred (a) The addressing-aaa field. Figure 4.8 Figure 4.8 (Continued) aaa Addressing mode a Addressing mode r Register 000 Immediate 0 Immediate 0 Accumulator, A 001 Direct 1 Indexed 1 Index register, X 010 Indirect 011 Stack-relative (b) The addressing-a field. (c) The register-r field. 100 Stack-relative deferred 101 Indexed 110 Stack-indexed 111 Stack-indexed deferred (a) The addressing-aaa field. Figure 4.8 Figure 4.9 Main memory 10001101 00000011 010011 10 01A3 01A4 01A5 00011 1 10 01A6 Figure 4.9 The stop instruction • Instruction specifier: 0000 0000 • Causes the computer to stop The load instruction • Instruction specifier: 1100 raaa • Loads one word (two bytes) from memory to register r r Oprnd ; N r < 0 , Z r = 0 ← ← ← Figure 4.10, 4.11 Instruction specifier Operand specifier Opcode r aaa 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 C 1 0 0 4 A CPU Mem CPU Mem NZ 92EF C1004A NZ 10 92EF 004A Load accumulator 004A A 036D A 92EF Figure 4.10 (a) Before (b) After Figure 4.11 The store instruction • Instruction specifier: 1110 raaa • Stores one word (two bytes) from register r to memory Oprnd r ← Figure 4.12, 4.13 Instruction specifier Operand specifier Opcode r aaa 1 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 E 9 0 0 4 A CPU Mem CPU Mem X 16BC F082 E9004A X 16BC 16BC 004A Store index register 004A Figure 4.12 (a) Before (b) After Figure 4.13 The add instruction • Instruction specifier: 0111 raaa • Adds one word (two bytes) from memory to register r r r + Oprnd ; N r < 0 , Z r = 0 , ← ← ← V overflow , C carry ←{ } ←{ } Figure 4.14, 4.15 Instruction specifier Operand specifier Opcode r aaa 0 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 7 9 0 0 4 A CPU Mem CPU Mem NZVC FFF9 79004A NZVC 1000 FFF9 004A Add index register 004A X 0005 X FFFE Figure 4.14 (a) Before (b) After Figure 4.15 The subtract instruction • Instruction specifier: 1000 raaa • Subtracts one word (two bytes) from memory from register r r r Oprnd ; N r < 0 , Z r = 0 , ← − ← ← V overflow , C carry ←{ } ←{ } Figure 4.16, 4.17 Instruction specifier Operand specifier Opcode r aaa 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 8 1 0 0 4 A CPU Mem CPU Mem NZVC 0009 81004A NZVC 1000 0009 004A Subtract accumulator 004A A 0003 A FFF4FFFA Figure 4.16 (a) Before (b) After Figure 4.17 The and instruction • Instruction specifier: 1001 raaa • ANDs one word (two bytes) from memory to register r r r Oprnd ; N r < 0 , Z r = 0 ← ∧ ← ← Figure 4.18, 4.19 Instruction specifier Operand specifier Opcode r aaa 1 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 9 9 0 0 4 A CPU Mem CPU Mem NZ 00FF 99004A NZ 00 00FF 004A AddAnd index register 004A X 5DC3 X 00C3 Figure 4.18 (a) Before (b) After The or instruction • Instruction specifier: 1010 raaa • ORs one word (two bytes) from memory to register r r r Oprnd ; N r < 0 , Z r = 0 ← ∨ ← ← Figure 4.20 CPU Mem CPU Mem NZ 00FF A9004A NZ 00 00FF 004A Or index register 004A X 5DC3 X 5DFF (a) Before (b) After Figure 4.20 The not instruction • Instruction specifier: 0001 100r • Bit-wise NOT operation on register r • Each 0 changed to 1, each 1 changed to 0 r r ; N r < 0 , Z r = 0 ←¬ ← ← Figure 4.21, 4.22 Instruction specifier Opcode r 0 0 0 1 1 0 0 0 1 8 CPU CPU NZ 18 NZ 10 Not accumulator AX 0003 XA FFFC (a) Before (b) After Figure 4.21 Figure 4.22 The negate instruction • Instruction specifier: 0001 101r • Negate (take two’s complement of) register r r r ; N r < 0 , Z r = 0 ←− ← ← Figure 4.23 CPU CPU NZ 1A NZ 10 Negate accumulator AX 0003 AX FFFD (a) Before (b) After Figure 4.23 The load byte instruction • Instruction specifier: 1101 raaa • Loads one byte from memory to the right half of register r r 8..15 byte Oprnd ; N r < 0 , Z r = 0 ! "← ← ← Figure 4.24, 4.25 Instruction specifier Operand specifier Opcode r aaa 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0
Recommended publications
  • Package 'Pinsplus'
    Package ‘PINSPlus’ August 6, 2020 Encoding UTF-8 Type Package Title Clustering Algorithm for Data Integration and Disease Subtyping Version 2.0.5 Date 2020-08-06 Author Hung Nguyen, Bang Tran, Duc Tran and Tin Nguyen Maintainer Hung Nguyen <[email protected]> Description Provides a robust approach for omics data integration and disease subtyping. PIN- SPlus is fast and supports the analysis of large datasets with hundreds of thousands of sam- ples and features. The software automatically determines the optimal number of clus- ters and then partitions the samples in a way such that the results are ro- bust against noise and data perturbation (Nguyen et.al. (2019) <DOI: 10.1093/bioinformat- ics/bty1049>, Nguyen et.al. (2017)<DOI: 10.1101/gr.215129.116>). License LGPL Depends R (>= 2.10) Imports foreach, entropy , doParallel, matrixStats, Rcpp, RcppParallel, FNN, cluster, irlba, mclust RoxygenNote 7.1.0 Suggests knitr, rmarkdown, survival, markdown LinkingTo Rcpp, RcppArmadillo, RcppParallel VignetteBuilder knitr NeedsCompilation yes Repository CRAN Date/Publication 2020-08-06 21:20:02 UTC R topics documented: PINSPlus-package . .2 AML2004 . .2 KIRC ............................................3 PerturbationClustering . .4 SubtypingOmicsData . .9 1 2 AML2004 Index 13 PINSPlus-package Perturbation Clustering for data INtegration and disease Subtyping Description This package implements clustering algorithms proposed by Nguyen et al. (2017, 2019). Pertur- bation Clustering for data INtegration and disease Subtyping (PINS) is an approach for integraton of data and classification of diseases into various subtypes. PINS+ provides algorithms support- ing both single data type clustering and multi-omics data type. PINSPlus is an improved version of PINS by allowing users to customize the based clustering algorithm and perturbation methods.
    [Show full text]
  • Programming Model, Address Mode, HC12 Hardware Introduction
    EEL 4744C: Microprocessor Applications Lecture 2 Programming Model, Address Mode, HC12 Hardware Introduction Dr. Tao Li 1 Reading Assignment • Microcontrollers and Microcomputers: Chapter 3, Chapter 4 • Software and Hardware Engineering: Chapter 2 Or • Software and Hardware Engineering: Chapter 4 Plus • CPU12 Reference Manual: Chapter 3 • M68HC12B Family Data Sheet: Chapter 1, 2, 3, 4 Dr. Tao Li 2 EEL 4744C: Microprocessor Applications Lecture 2 Part 1 CPU Registers and Control Codes Dr. Tao Li 3 CPU Registers • Accumulators – Registers that accumulate answers, e.g. the A Register – Can work simultaneously as the source register for one operand and the destination register for ALU operations • General-purpose registers – Registers that hold data, work as source and destination register for data transfers and source for ALU operations • Doubled registers – An N-bit CPU in general uses N-bit data registers – Sometimes 2 of the N-bit registers are used together to double the number of bits, thus “doubled” registers Dr. Tao Li 4 CPU Registers (2) • Pointer registers – Registers that address memory by pointing to specific memory locations that hold the needed data – Contain memory addresses (without offset) • Stack pointer registers – Pointer registers dedicated to variable data and return address storage in subroutine calls • Index registers – Also used to address memory – An effective memory address is found by adding an offset to the content of the involved index register Dr. Tao Li 5 CPU Registers (3) • Segment registers – In some architectures, memory addressing requires that the physical address be specified in 2 parts • Segment part: specifies a memory page • Offset part: specifies a particular place in the page • Condition code registers – Also called flag or status registers – Hold condition code bits generated when instructions are executed, e.g.
    [Show full text]
  • The Birth, Evolution and Future of Microprocessor
    The Birth, Evolution and Future of Microprocessor Swetha Kogatam Computer Science Department San Jose State University San Jose, CA 95192 408-924-1000 [email protected] ABSTRACT timed sequence through the bus system to output devices such as The world's first microprocessor, the 4004, was co-developed by CRT Screens, networks, or printers. In some cases, the terms Busicom, a Japanese manufacturer of calculators, and Intel, a U.S. 'CPU' and 'microprocessor' are used interchangeably to denote the manufacturer of semiconductors. The basic architecture of 4004 same device. was developed in August 1969; a concrete plan for the 4004 The different ways in which microprocessors are categorized are: system was finalized in December 1969; and the first microprocessor was successfully developed in March 1971. a) CISC (Complex Instruction Set Computers) Microprocessors, which became the "technology to open up a new b) RISC (Reduced Instruction Set Computers) era," brought two outstanding impacts, "power of intelligence" and "power of computing". First, microprocessors opened up a new a) VLIW(Very Long Instruction Word Computers) "era of programming" through replacing with software, the b) Super scalar processors hardwired logic based on IC's of the former "era of logic". At the same time, microprocessors allowed young engineers access to "power of computing" for the creative development of personal 2. BIRTH OF THE MICROPROCESSOR computers and computer games, which in turn led to growth in the In 1970, Intel introduced the first dynamic RAM, which increased software industry, and paved the way to the development of high- IC memory by a factor of four.
    [Show full text]
  • Lecture 2: Variables and Primitive Data Types
    Lecture 2: Variables and Primitive Data Types MIT-AITI Kenya 2005 1 In this lecture, you will learn… • What a variable is – Types of variables – Naming of variables – Variable assignment • What a primitive data type is • Other data types (ex. String) MIT-Africa Internet Technology Initiative 2 ©2005 What is a Variable? • In basic algebra, variables are symbols that can represent values in formulas. • For example the variable x in the formula f(x)=x2+2 can represent any number value. • Similarly, variables in computer program are symbols for arbitrary data. MIT-Africa Internet Technology Initiative 3 ©2005 A Variable Analogy • Think of variables as an empty box that you can put values in. • We can label the box with a name like “Box X” and re-use it many times. • Can perform tasks on the box without caring about what’s inside: – “Move Box X to Shelf A” – “Put item Z in box” – “Open Box X” – “Remove contents from Box X” MIT-Africa Internet Technology Initiative 4 ©2005 Variables Types in Java • Variables in Java have a type. • The type defines what kinds of values a variable is allowed to store. • Think of a variable’s type as the size or shape of the empty box. • The variable x in f(x)=x2+2 is implicitly a number. • If x is a symbol representing the word “Fish”, the formula doesn’t make sense. MIT-Africa Internet Technology Initiative 5 ©2005 Java Types • Integer Types: – int: Most numbers you’ll deal with. – long: Big integers; science, finance, computing. – short: Small integers.
    [Show full text]
  • Chapter 4 Variables and Data Types
    PROG0101 Fundamentals of Programming PROG0101 FUNDAMENTALS OF PROGRAMMING Chapter 4 Variables and Data Types 1 PROG0101 Fundamentals of Programming Variables and Data Types Topics • Variables • Constants • Data types • Declaration 2 PROG0101 Fundamentals of Programming Variables and Data Types Variables • A symbol or name that stands for a value. • A variable is a value that can change. • Variables provide temporary storage for information that will be needed during the lifespan of the computer program (or application). 3 PROG0101 Fundamentals of Programming Variables and Data Types Variables Example: z = x + y • This is an example of programming expression. • x, y and z are variables. • Variables can represent numeric values, characters, character strings, or memory addresses. 4 PROG0101 Fundamentals of Programming Variables and Data Types Variables • Variables store everything in your program. • The purpose of any useful program is to modify variables. • In a program every, variable has: – Name (Identifier) – Data Type – Size – Value 5 PROG0101 Fundamentals of Programming Variables and Data Types Types of Variable • There are two types of variables: – Local variable – Global variable 6 PROG0101 Fundamentals of Programming Variables and Data Types Types of Variable • Local variables are those that are in scope within a specific part of the program (function, procedure, method, or subroutine, depending on the programming language employed). • Global variables are those that are in scope for the duration of the programs execution. They can be accessed by any part of the program, and are read- write for all statements that access them. 7 PROG0101 Fundamentals of Programming Variables and Data Types Types of Variable MAIN PROGRAM Subroutine Global Variables Local Variable 8 PROG0101 Fundamentals of Programming Variables and Data Types Rules in Naming a Variable • There a certain rules in naming variables (identifier).
    [Show full text]
  • The Art of the Javascript Metaobject Protocol
    The Art Of The Javascript Metaobject Protocol enough?Humphrey Ephraim never recalculate remains giddying: any precentorship she expostulated exasperated her nuggars west, is brocade Gus consultative too around-the-clock? and unbloody If dog-cheapsycophantical and or secularly, norman Partha how slicked usually is volatilisingPenrod? his nomadism distresses acceptedly or interlacing Card, and send an email to a recipient with. On Auslegung auf are Schallabstrahlung download the Aerodynamik von modernen Flugtriebwerken. This poll i send a naming convention, the art of metaobject protocol for the corresponding to. What might happen, for support, if you should load monkeypatched code in one ruby thread? What Hooks does Ruby have for Metaprogramming? Sass, less, stylus, aura, etc. If it finds one, it calls that method and passes itself as value object. What bin this optimization achieve? JRuby and the psd. Towards a new model of abstraction in software engineering. Buy Online in Aruba at aruba. The current run step approach is: Checkpoint. Python object room to provide usable string representations of hydrogen, one used for debugging and logging, another for presentation to end users. Method handles can we be used to implement polymorphic inline caches. Mop is not the metaobject? Rails is a nicely designed web framework. Get two FREE Books of character Moment sampler! The download the number IS still thought. This proxy therefore behaves equivalently to the card dispatch function, and no methods will be called on the proxy dispatcher before but real dispatcher is available. While desertcart makes reasonable efforts to children show products available in your kid, some items may be cancelled if funny are prohibited for import in Aruba.
    [Show full text]
  • Julia's Efficient Algorithm for Subtyping Unions and Covariant
    Julia’s Efficient Algorithm for Subtyping Unions and Covariant Tuples Benjamin Chung Northeastern University, Boston, MA, USA [email protected] Francesco Zappa Nardelli Inria of Paris, Paris, France [email protected] Jan Vitek Northeastern University, Boston, MA, USA Czech Technical University in Prague, Czech Republic [email protected] Abstract The Julia programming language supports multiple dispatch and provides a rich type annotation language to specify method applicability. When multiple methods are applicable for a given call, Julia relies on subtyping between method signatures to pick the correct method to invoke. Julia’s subtyping algorithm is surprisingly complex, and determining whether it is correct remains an open question. In this paper, we focus on one piece of this problem: the interaction between union types and covariant tuples. Previous work normalized unions inside tuples to disjunctive normal form. However, this strategy has two drawbacks: complex type signatures induce space explosion, and interference between normalization and other features of Julia’s type system. In this paper, we describe the algorithm that Julia uses to compute subtyping between tuples and unions – an algorithm that is immune to space explosion and plays well with other features of the language. We prove this algorithm correct and complete against a semantic-subtyping denotational model in Coq. 2012 ACM Subject Classification Theory of computation → Type theory Keywords and phrases Type systems, Subtyping, Union types Digital Object Identifier 10.4230/LIPIcs.ECOOP.2019.24 Category Pearl Supplement Material ECOOP 2019 Artifact Evaluation approved artifact available at https://dx.doi.org/10.4230/DARTS.5.2.8 Acknowledgements The authors thank Jiahao Chen for starting us down the path of understanding Julia, and Jeff Bezanson for coming up with Julia’s subtyping algorithm.
    [Show full text]
  • IBM Z/Architecture Reference Summary
    z/Architecture IBMr Reference Summary SA22-7871-06 . z/Architecture IBMr Reference Summary SA22-7871-06 Seventh Edition (August, 2010) This revision differs from the previous edition by containing instructions related to the facilities marked by a bar under “Facility” in “Preface” and minor corrections and clari- fications. Changes are indicated by a bar in the margin. References in this publication to IBM® products, programs, or services do not imply that IBM intends to make these available in all countries in which IBM operates. Any reference to an IBM program product in this publication is not intended to state or imply that only IBM’s program product may be used. Any functionally equivalent pro- gram may be used instead. Additional copies of this and other IBM publications may be ordered or downloaded from the IBM publications web site at http://www.ibm.com/support/documentation. Please direct any comments on the contents of this publication to: IBM Corporation Department E57 2455 South Road Poughkeepsie, NY 12601-5400 USA IBM may use or distribute whatever information you supply in any way it believes appropriate without incurring any obligation to you. © Copyright International Business Machines Corporation 2001-2010. All rights reserved. US Government Users Restricted Rights — Use, duplication, or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. ii z/Architecture Reference Summary Preface This publication is intended primarily for use by z/Architecture™ assembler-language application programmers. It contains basic machine information summarized from the IBM z/Architecture Principles of Operation, SA22-7832, about the zSeries™ proces- sors. It also contains frequently used information from IBM ESA/390 Common I/O- Device Commands and Self Description, SA22-7204, IBM System/370 Extended Architecture Interpretive Execution, SA22-7095, and IBM High Level Assembler for MVS & VM & VSE Language Reference, SC26-4940.
    [Show full text]
  • Does Personality Matter? Temperament and Character Dimensions in Panic Subtypes
    325 Arch Neuropsychiatry 2018;55:325−329 RESEARCH ARTICLE https://doi.org/10.5152/npa.2017.20576 Does Personality Matter? Temperament and Character Dimensions in Panic Subtypes Antonio BRUNO1 , Maria Rosaria Anna MUSCATELLO1 , Gianluca PANDOLFO1 , Giulia LA CIURA1 , Diego QUATTRONE2 , Giuseppe SCIMECA1 , Carmela MENTO1 , Rocco A. ZOCCALI1 1Department of Psychiatry, University of Messina, Messina, Italy 2MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom ABSTRACT Introduction: Symptomatic heterogeneity in the clinical presentation of and 12.78% of the total variance. Correlations analyses showed that Panic Disorder (PD) has lead to several attempts to identify PD subtypes; only “Somato-dissociative” factor was significantly correlated with however, no studies investigated the association between temperament T.C.I. “Self-directedness” (p<0.0001) and “Cooperativeness” (p=0.009) and character dimensions and PD subtypes. The study was aimed to variables. Results from the regression analysis indicate that the predictor verify whether personality traits were differentially related to distinct models account for 33.3% and 24.7% of the total variance respectively symptom dimensions. in “Somatic-dissociative” (p<0.0001) and “Cardiologic” (p=0.007) factors, while they do not show statistically significant effects on “Respiratory” Methods: Seventy-four patients with PD were assessed by the factor (p=0.222). After performing stepwise regression analysis, “Self- Mini-International Neuropsychiatric Interview (M.I.N.I.), and the directedness” resulted the unique predictor of “Somato-dissociative” Temperament and Character Inventory (T.C.I.). Thirteen panic symptoms factor (R²=0.186; β=-0.432; t=-4.061; p<0.0001). from the M.I.N.I.
    [Show full text]
  • Computer Organization
    Chapter 12 Computer Organization Central Processing Unit (CPU) • Data section ‣ Receives data from and sends data to the main memory subsystem and I/O devices • Control section ‣ Issues the control signals to the data section and the other components of the computer system Figure 12.1 CPU Input Data Control Main Output device section section Memory device Bus Data flow Control CPU components • 16-bit memory address register (MAR) ‣ 8-bit MARA and 8-bit MARB • 8-bit memory data register (MDR) • 8-bit multiplexers ‣ AMux, CMux, MDRMux ‣ 0 on control line routes left input ‣ 1 on control line routes right input Control signals • Originate from the control section on the right (not shown in Figure 12.2) • Two kinds of control signals ‣ Clock signals end in “Ck” to load data into registers with a clock pulse ‣ Signals that do not end in “Ck” to set up the data flow before each clock pulse arrives 0 1 8 14 15 22 23 A IR T3 M1 0x00 0x01 2 3 9 10 16 17 24 25 LoadCk Figure 12.2 X T4 M2 0x02 0x03 4 5 11 18 19 26 27 5 C SP T1 T5 M3 0x04 0x08 5 6 7 12 13 20 21 28 29 B PC T2 T6 M4 0xFA 0xFC 5 30 31 A CPU registers M5 0xFE 0xFF CBus ABus BBus Bus MARB MARCk MARA MDRCk MDR MDRMux AMux AMux MDRMux CMux 4 ALU ALU CMux Cin Cout C CCk Mem V VCk ANDZ Addr ANDZ Z ZCk Zout 0 Data 0 0 0 N NCk MemWrite MemRead Figure 12.2 (Expanded) 0 1 8 14 15 22 23 A IR T3 M1 0x00 0x01 2 3 9 10 16 17 24 25 LoadCk X T4 M2 0x02 0x03 4 5 11 18 19 26 27 5 C SP T1 T5 M3 0x04 0x08 5 6 7 12 13 20 21 28 29 B PC T2 T6 M4 0xFA 0xFC 5 30 31 A CPU registers M5 0xFE 0xFF CBus ABus BBus
    [Show full text]
  • Plain Text & Character Encoding
    Journal of eScience Librarianship Volume 10 Issue 3 Data Curation in Practice Article 12 2021-08-11 Plain Text & Character Encoding: A Primer for Data Curators Seth Erickson Pennsylvania State University Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/jeslib Part of the Scholarly Communication Commons, and the Scholarly Publishing Commons Repository Citation Erickson S. Plain Text & Character Encoding: A Primer for Data Curators. Journal of eScience Librarianship 2021;10(3): e1211. https://doi.org/10.7191/jeslib.2021.1211. Retrieved from https://escholarship.umassmed.edu/jeslib/vol10/iss3/12 Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 License. This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in Journal of eScience Librarianship by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. ISSN 2161-3974 JeSLIB 2021; 10(3): e1211 https://doi.org/10.7191/jeslib.2021.1211 Full-Length Paper Plain Text & Character Encoding: A Primer for Data Curators Seth Erickson The Pennsylvania State University, University Park, PA, USA Abstract Plain text data consists of a sequence of encoded characters or “code points” from a given standard such as the Unicode Standard. Some of the most common file formats for digital data used in eScience (CSV, XML, and JSON, for example) are built atop plain text standards. Plain text representations of digital data are often preferred because plain text formats are relatively stable, and they facilitate reuse and interoperability.
    [Show full text]
  • Chapter 1: Microprocessor Architecture
    Chapter 1: Microprocessor architecture ECE 3120 – Fall 2013 Dr. Mohamed Mahmoud http://iweb.tntech.edu/mmahmoud/ [email protected] Outline 1.1 Computer hardware organization 1.1.1 Number System 1.1.2 Computer hardware organization 1.2 The processor 1.3 Memory system operation 1.4 Program Execution 1.5 HCS12 Microcontroller 1.1.1 Number System - Computer hardware uses binary numbers to perform all operations. - Human beings are used to decimal number system. Conversion is often needed to convert numbers between the internal (binary) and external (decimal) representations. - Octal and hexadecimal numbers have shorter representations than the binary system. - The binary number system has two digits 0 and 1 - The octal number system uses eight digits 0 and 7 - The hexadecimal number system uses 16 digits: 0, 1, .., 9, A, B, C,.., F 1 - 1 - A prefix is used to indicate the base of a number. - Convert %01000101 to Hexadecimal = $45 because 0100 = 4 and 0101 = 5 - Computer needs to deal with signed and unsigned numbers - Two’s complement method is used to represent negative numbers - A number with its most significant bit set to 1 is negative, otherwise it is positive. 1 - 2 1- Unsigned number %1111 = 1 + 2 + 4 + 8 = 15 %0111 = 1 + 2 + 4 = 7 Unsigned N-bit number can have numbers from 0 to 2N-1 2- Signed number %1111 is a negative number. To convert to decimal, calculate the two’s complement The two’s complement = one’s complement +1 = %0000 + 1 =%0001 = 1 then %1111 = -1 %0111 is a positive number = 1 + 2 + 4 = 7.
    [Show full text]