Tabla de Contenidos: “…12.2.6 APPCIOT= in DFSDCxxx for IMS/APPC application time-out…”

“…La inoculación con áfidos también sólo indujo síntomas en D. stramonium y en C. annuum, pero únicamente de la savia con PAMV+PLRV (ambos transmisibles por insectos). Por ELISA se confirmó la presencia del PAMV nada más, tanto en las diferenciales mencionadas como en N. tabacum cv. …”
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Tabla de Contenidos: “…Training the model parameters -- Evaluating model performance -- Sensitivity (Sn) -- Specificity (Sp) -- Positive predictive value (PPV) -- Negative predictive value (NPV) -- False-positive rate (FPR) -- Accuracy (Acc) -- Receiver operating characteristic (ROC) curves -- Precision-recall curves -- Continuously valued target variables -- Summary -- References and further reading -- Chapter 4: Computing Foundations - Databases -- Introduction to databases -- Data engineering with SQL - an example case -- Case details - predicting mortality for a cardiology practice -- The clinical database -- The PATIENT table -- The VISIT table -- The MEDICATIONS table -- The LABS table -- The VITALS table -- The MORT table -- Starting an SQLite session -- Data engineering, one table at a time with SQL -- Query Set #0 - creating the six tables -- Query Set #0a - creating the PATIENT table -- Query Set #0b - creating the VISIT table -- Query Set #0c - creating the MEDICATIONS table -- Query Set #0d - creating the LABS table -- Query Set #0e - creating the VITALS table -- Query Set #0f - creating the MORT table -- Query Set #0g - displaying our tables -- Query Set #1 - creating the MORT_FINAL table -- Query Set #2 - adding columns to MORT_FINAL -- Query Set #2a - adding columns using ALTER TABLE -- Query Set #2b - adding columns using JOIN -- Query Set #3 - date manipulation - calculating age -- Query Set #4 - binning and aggregating diagnoses -- Query Set #4a - binning diagnoses for CHF -- Query Set #4b - binning diagnoses for other diseases -- Query Set #4c - aggregating cardiac diagnoses using SUM -- Query Set #4d - aggregating cardiac diagnoses using COUNT -- Query Set #5 - counting medications -- Query Set #6 - binning abnormal lab results -- Query Set #7 - imputing missing variables…”

Tabla de Contenidos: “…-- Quality of output -- Plagiarism and copyright infringement -- Doesn't evoke human emotions -- Errors -- Ethical considerations -- Hallucinations -- Chapter 2 Embracing AI as Your Business Writing Assistant -- Introducing a Buffet of AI Lingo -- Targeting the Right Audience -- Cutting Through Writer's Block -- Generating Content -- Creating Visuals -- Enhancing the Tone -- Researching and Fact-Checking -- Enhancing SEO -- Creating Language Bridges -- Preparing Abstracts and Executive Summaries -- Extracting TOCs, Glossaries, and Indexes -- Helping with Proofreading and Editing -- Determining Readability -- Collaborating in Real Time -- Detecting Plagiarism -- Chapter 3 Navigating the World of AI at Your Own Pace -- Absorbing Wisdom from the Backseat -- Dipping One Toe in the Chatbot Water -- Discovering varied information at your fingertips -- Embracing the bot revolution -- Composing text -- Finding chatbot faves -- Playing with the Pros -- Choosing an AI Writing Tool -- Summarizing the Synergy between WI and AI -- Considering Copyright Laws…”

“…Podría hacerlo con mucha lucidez, aportando a los diversos acontecimientos de un tiempo tan convulso lumen cum pace, que ha sido la divisa de su enseña episcopal y que define muy bien su carácter y manera de ser obispo y pastor. …”

Tabla de Contenidos: “…-- Summary -- Key Terms -- Questions -- Evidence-Based Economics Problems -- Problems -- Chapter 8: Trade -- 8.1 The Production Possibilities Curve -- Calculating Opportunity Cost -- 8.2 The Basis for Trade: Comparative Advantage -- Specialization -- Absolute Advantage -- Choice &amp -- Consequence: An Experiment on Comparative Advantage -- The Price of the Trade -- 8.3 Trade Between States -- Choice &amp -- Consequence: Should LeBron James Paint His Own House? -- Economy-Wide PPC -- Comparative Advantage and Specialization Among States -- 8.4 Trade Between Countries -- Determinants of Trade Between Countries -- Exporting Nations: Winners and Losers -- Letting The Data Speak: Fair Trade Products -- Importing Nations: Winners and Losers -- Where Do World Prices Come From? …”

Tabla de Contenidos: “…-- Summary -- Key Terms -- Questions -- Evidence-Based Economics Problems -- Problems -- Chapter 8: Trade -- 8.1 The Production Possibilities Curve -- Calculating Opportunity Cost -- 8.2 The Basis for Trade: Comparative Advantage -- Specialization -- Absolute Advantage -- Choice &amp -- Consequence: An Experiment on Comparative Advantage -- The Price of the Trade -- 8.3 Trade Between States -- Choice &amp -- Consequence: Should LeBron James Paint His Own House? -- Economy-Wide PPC -- Comparative Advantage and Specialization Among States -- 8.4 Trade Between Countries -- Determinants of Trade Between Countries -- Exporting Nations: Winners and Losers -- Letting the Data Speak: Fair Trade Products -- Importing Nations: Winners and Losers -- Where Do World Prices Come From? …”

Tabla de Contenidos: “…Trade Between States -- Choice &amp -- Consequence: Should LeBron James Paint His Own House? -- Economy-Wide PPC -- Comparative Advantage and Specialization Among States -- 8.4. …”

Tabla de Contenidos: “…2.5.2 Fitting Nonlinear Models -- 2.5.3 Fitting Higher-Order Polynomials -- 2.6 Bland-Altman Analysis -- 2.6.1 The Bland-Altman Plot -- 2.7 Summary -- 2.8 Descriptive Bivariate and Multivariate Statistics Using MATLAB -- 2.8.1 Visualizing Bivariate Data -- 2.8.2 Covariance -- 2.8.3 Correlation -- 2.8.4 Calculating Best-Fit Lines -- 2.8.5 Bland-Altman Analysis -- 2.9 Further Resources -- 2.10 Exercises -- 3 Descriptive Statistics III: ROC Analysis -- 3.1 Introduction -- 3.2 Notation -- 3.2.1 Sensitivity and Speci city -- 3.2.2 Positive and Negative Predictive Values -- 3.2.3 Example Calculation of Se, Sp, PPV and NPV -- 3.3 ROC Curves -- 3.4 Summary -- 3.5 Using MATLAB for ROC Analysis -- 3.6 Further Resources -- 3.7 Exercises -- 4 Inferential Statistics I: Basic Concepts -- 4.1 Introduction -- 4.2 Notation -- 4.3 Probability -- 4.3.1 Probabilities of Single Events -- 4.3.2 Probabilities of Multiple Events -- 4.4 Probability Distributions -- 4.4.1 The Normal Distribution -- 4.5 Why the Normal Distribution Is so Important: The Central Limit Theorem -- 4.6 Standard Error of the Mean -- 4.7 Con dence Intervals of the Mean -- 4.8 Summary -- 4.9 Probability Distributions and Measures of Reliability Using MATLAB -- 4.9.1 Probability Distributions -- 4.9.2 Standard Error of the Mean -- 4.9.3 Con dence Interval of the Mean -- 4.10 Further Resources -- 4.11 Exercises -- 5 Inferential Statistics II: Parametric Hypothesis Testing -- 5.1 Introduction -- 5.2 Hypothesis Testing -- 5.3 Types of Data for Hypothesis Tests -- 5.4 The t-distribution and Student's t-test -- 5.5 One-Sample Student's t-test -- 5.6 Con dence Intervals for Small Samples -- 5.7 Two Sample Student's t-test -- 5.7.1 Paired Data -- 5.7.2 Unpaired Data -- 5.7.3 Paired vs. …”

Tabla de Contenidos: “…The SFSN and the systems context -- Relationship among rescheduling, stability, and nervousness -- Time-related features -- Inner system issues that leverage nervousness -- Outer system nervousness management mechanisms -- A simple SFSN conceptual model -- Physical dimension -- Temporal dimension -- Wrapping it up -- The framework in practice: an illustrative case -- 12.6 Conclusions -- Acknowledgments -- References -- 13 Digital and smart production planning and control -- 13.1 Production planning and control evolution -- 13.1.1 Production planning and control 1.0 (until 1960s) -- 13.1.2 Production planning and control 2.0 (between 1970s and 1980s) -- 13.1.3 Production planning and control 3.0 - (between 1990s and 2010s) -- 13.1.4 Production planning and control 4.0 - (from 2010s) -- 13.2 A bibliometric analysis on digital and smart production planning and control -- 13.3 Digital and smart production planning and control frameworks -- 13.3.1 Framework of classical PPC updated by digital technologies -- 13.3.2 Framework of production planning and control as a service (PPCaaS) -- 13.4 Digital technologies applied in the production planning and control -- 13.4.1 Additive manufacturing (AM) -- 13.4.2 Big data analytics (BDA) -- 13.4.3 Digital twin (DT) -- 13.4.4 Machine learning (ML) -- 13.5 The future of Production Planning and Control 4.0 concept -- References -- 14 Simulation-based generation of rescheduling knowledge using a cognitive architecture -- 14.1 Introduction -- 14.2 Conceptual modeling -- 14.3 Problem-Space Computational Model (PSCM) -- 14.4 Representation and design of schedule states and repair operators -- 14.4.1 Design of repair operators proposition-evaluation, decision, and application knowledge -- 14.4.1.1 Design and implementation of operators proposition-evaluation knowledge (Kpe)…”

Tabla de Contenidos: “…Sysplex terminal management (STM) -- 8.1 STM objectives -- 8.2 STM environment -- 8.2.1 STM configurations -- 8.3 IMSplex resources -- 8.3.1 Statically defined VTAM resources (not parallel-session ISC) -- 8.3.2 Dynamic (ETO) resources -- 8.3.3 Single session ISC resources -- 8.3.4 Parallel session ISC resources -- 8.3.5 MSC logical links (MSNAMEs) -- 8.3.6 Static transactions -- 8.3.7 APPC CPI-C driven transactions…”

Tabla de Contenidos: “…15.5.1 Tracing the BPE and CQS in an IMS environment -- 15.5.2 IMS APPC application program tracing -- 15.5.3 IMS TPIPE and OTMA traces -- 15.6 Simplify the dump process for multiple address spaces -- 15.7 Dumping IMS address spaces in a sysplex -- 15.8 IMS diagnostic data collection for WAIT/HANG conditions -- 15.8.1 IMS diagnostic data collection for a suspected Loop -- 15.8.2 IMS APPC diagnostic data capture procedures -- 15.9 IMS dump formatting using IPCS -- 15.9.1 IMS VERBX format option -- Chapter 16. …”