“…The advent of new high-throughput technologies and sophisticated genetic approaches has brought tremendous progress in our understanding of how the adrenal cortex achieves and maintains its particular organisation. …”

“…In plants, nucleolar functions have been implicated in developmental regulations and environmental responses by accumulating pieces of evidence obtained mostly from genetic studies of nucleolar factor-related mutants. …”

“…The comparison of the sequences of the chloroplast DNA of different plants provides valuable information on gene content, reordering in the circular chloroplast DNA, and mutational genetic-derive, relevant to the evolution of the chloroplast. …”

“…A single topic can be studied using techniques from genetics, imaging, biochemistry, or electrophysiology. …”

“…Research on the multiple aspects of cognitive impairment in Down syndrome (DS), from genes to behavior to treatment, has made tremendous progress in the last decade. …”

“…The archiving and global sharing of genome sequences allow for retrospective analysis of virulence genes, antimicrobial resistance markers, mobile genetic elements and other novel genes. …”

“…However, definite causative agent(s) or single gene(s) involved in MS still remain unidentified. …”

Tabla de Contenidos: “…Index creation and maintenance -- Unique indexes -- Concurrent index creation -- Clustering an index -- Fill factor -- Reindexing -- Index types -- B-tree -- Text operator classes -- Hash -- GIN -- B-tree GIN versus bitmap indexes -- GiST -- Advanced index use -- Multicolumn indexes -- Indexes for sorting -- Partial indexes -- Expression-based indexes -- Indexing for full-text search -- Indexing like or like queries with pg_trgm contrib -- Indexing JSON datatype -- Summary -- Chapter 10: Query Optimization -- Sample data sets -- Pagila -- dellstore2 -- EXPLAIN basics -- Timing overhead -- Hot and cold cache behavior -- Clearing the cache -- Query plan node structure -- Basic cost computation -- Estimated costs and real-world costs -- Explain analysis tools -- Visual explain -- Verbose output -- Machine-readable EXPLAIN output -- Plan analysis tools -- Assembling row sets -- Tuple ID -- Object ID -- Sequential scan -- Index Scan -- Bitmap heap and index scans -- Processing nodes -- Sort -- Limit -- Offsets -- Aggregate -- HashAggregate -- Unique -- WindowAgg -- Result -- Append -- Group -- Subquery scan and subplan -- Subquery conversion and IN lists -- Set operations -- Materialize -- CTE scan -- Joins -- Nested loop -- Nested loop with inner index scan -- Merge Join -- Nested Loop and Merge Join materialization -- Hash joins -- Hash semi and anti-joins -- Join ordering -- Forcing join order -- Join removal -- Genetic query optimizer -- Statistics -- Viewing and estimating with statistics -- Statistics targets -- Adjusting a column target -- Distinct values -- Difficult areas to estimate -- Other query-planning parameters -- effective_cache_size -- work_mem -- constraint_exclusion -- cursor_tuple_fraction -- Executing other statement types -- Improving queries -- Optimizing for fully cached data sets -- Testing for query equivalence…”

Tabla de Contenidos: “…Expanding protected areas has helped reduce deforestation in the Amazon -- Improving the knowledge base for biodiversity policy -- Policy framework for biodiversity conservation and sustainable use -- An integrated strategy to combat deforestation -- The new Forest Code and the Rural Environmental Cadastre -- Payments for ecosystem services and conditional cash-transfer programmes -- Access to genetic resources and benefit sharing -- Mainstreaming biodiversity consideration in agriculture, fishery and energy policies -- 5. …”

Tabla de Contenidos: “…Créer des incitations à innover -- III.3. Assurer la genèse de nouvelles connaissances -- Graphique III.3. …”

Tabla de Contenidos: “…6.1 Euler's Method -- 6.2 Heun's Method - Trapezoidal Method -- 6.3 Runge‐Kutta Method -- 6.4 Predictor‐Corrector Method -- 6.4.1 Adams‐Bashforth‐Moulton Method -- 6.4.2 Hamming Method -- 6.4.3 Comparison of Methods -- 6.5 Vector Differential Equations -- 6.5.1 State Equation -- 6.5.2 Discretization of LTI State Equation -- 6.5.3 High‐order Differential Equation to State Equation -- 6.5.4 Stiff Equation -- 6.6 Boundary Value Problem (BVP) -- 6.6.1 Shooting Method -- 6.6.2 Finite Difference Method -- Chapter 7 Optimization -- 7.1 Unconstrained Optimization -- 7.1.1 Golden Search Method -- 7.1.2 Quadratic Approximation Method -- 7.1.3 Nelder‐Mead Method -- 7.1.4 Steepest Descent Method -- 7.1.5 Newton Method -- 7.1.6 Conjugate Gradient Method -- 7.1.7 Simulated Annealing -- 7.1.8 Genetic Algorithm -- 7.2 Constrained Optimization -- 7.2.1 Lagrange Multiplier Method -- 7.2.2 Penalty Function Method -- 7.3 MATLAB Built‐In Functions for Optimization -- 7.3.1 Unconstrained Optimization -- 7.3.2 Constrained Optimization -- 7.3.3 Linear Programming (LP) -- 7.3.4 Mixed Integer Linear Programming (MILP) -- 7.4 Neural Network[K‐1] -- 7.5 Adaptive Filter[Y‐3] -- 7.6 Recursive Least Square Estimation (RLSE)[Y‐3] -- Chapter 8 Matrices and Eigenvalues -- 8.1 Eigenvalues and Eigenvectors -- 8.2 Similarity Transformation and Diagonalization -- 8.3 Power Method -- 8.3.1 Scaled Power Method -- 8.3.2 Inverse Power Method -- 8.3.3 Shifted Inverse Power Method -- 8.4 Jacobi Method -- 8.5 Gram‐Schmidt Orthonormalization and QR Decomposition -- 8.6 Physical Meaning of Eigenvalues/Eigenvectors -- 8.7 Differential Equations with Eigenvectors -- 8.8 DoA Estimation with Eigenvectors[Y-3] -- Chapter 9 Partial Differential Equations -- 9.1 Elliptic PDE -- 9.2 Parabolic PDE -- 9.2.1 The Explicit Forward Euler Method -- 9.2.2 The Implicit Backward Euler Method…”

Tabla de Contenidos: “…The Returns Reported by Mutual Funds Are Rarely Earned by Mutual Fund Investors -- Hint: Money flows into most funds after good performance, and goes out when bad performance follows -- The dual penalties of costs and investor behavior -- Inflamed by heady optimism and greed, and enticed by the wiles of mutual fund marketers, investors poured their savings into equity funds at the bull market peak -- When counterproductive investor emotions are magnified by counterproductive fund industry promotions, little good is apt to result -- Investor emotions plus fund industry promotions equals trouble…”

Tabla de Contenidos: “…Erhebungsmethoden -- 1.1 Bilder in Form von Fotografien -- 1.1.1 Zum Bildbegriff und zur Unterscheidung von materialisierten und imaginären Bildern -- 1.1.2 Fotografien als Methode -- 1.2 Qualitatives Interview -- 1.2.1 Abwägungen zu einschlägigen Interviewmethoden -- Narratives Interview -- Problemzentriertes Interview -- 1.2.2 Genese der Interviewprogrammatiken und Überlegungen einer Neujustierung -- 1.2.3 Das qualitative Interview als eigenständige Methode -- Grundlegende Prinzipien -- Offenheit -- Gegenstandsorientierung -- Raum für Kontextualisierung und Spezifität -- Dimensionen qualitativer Interviews und ihre Ausprägungen -- Grad der Strukturierung -- Grad der Standardisierung -- Einsatz narrativer und dialogischer Elemente -- Deduktiv‐induktive vs. induktive Vorgehensweise…”

Tabla de Contenidos: “…Die UN-Charta als Ausgangspunkt für die Genese von Gewohnheitsrecht -- 2. Komplementärverhältnis von Gewohnheitsrecht und UN-Charta -- 3. …”

Tabla de Contenidos: “…Die Rechtsprechung seit Inkrafttreten des BGB -- 1. Exkurs: Genese, Tatbestand, Verhältnis zum Motivirrtum -- a) Zweckverfehlungskondiktion -- b) Störung der Geschäftsgrundlage -- 2. …”

Tabla de Contenidos: “…3.3 Neural Controller Approximation -- 4 Experiments -- 5 Related Work -- 6 Conclusion -- References -- Cyberphysical and Hybrid Systems -- Using Four-Valued Signal Temporal Logic for Incremental Verification of Hybrid Systems -- 1 Introduction -- 1.1 Related Work -- 1.2 Contributions -- 2 Preliminaries and Problem Statement -- 2.1 Intervals -- 2.2 Truth Values -- 2.3 Signals -- 2.4 Reachability Analysis of Hybrid Systems -- 2.5 Signal Temporal Logic with Boolean Semantics -- 2.6 Problem Statement -- 3 Basic Idea and Solution Concept -- 4 Four-Valued Signal Temporal Logic -- 4.1 Computing Boolean Satisfaction Signals -- 4.2 Computing Three-Valued Satisfaction Signals -- 4.3 Computing Four-Valued Satisfaction Signals -- 5 Incremental Verification of Hybrid Systems -- 5.1 Incremental Verification Algorithm -- 5.2 Refinement via Branching the Reachability Analysis -- 6 Evaluation -- 6.1 Bouncing Ball -- 6.2 Autonomous Driving -- 6.3 Genetic Oscillator -- 7 Conclusion -- References -- Optimization-Based Model Checking and Trace Synthesis for Complex STL Specifications -- 1 Introduction -- 2 Preliminaries -- 2.1 Signal Temporal Logic -- 2.2 Finite Variability -- 3 Problem Formulation -- 4 Variable-Interval Encoding of STL to MILP -- 4.1 -Stable Partitions -- 4.2 Variable-Interval MILP Encoding -- 5 System Models and Their MILP Encoding -- 5.1 HAs with Closed-Form Solutions -- 5.2 HAs with Double Integrator Dynamics -- 6 Implementation and Experiments -- References -- Inner-Approximate Reachability Computation via Zonotopic Boundary Analysis -- 1 Introduction -- 2 Preliminaries -- 2.1 Notation -- 2.2 Problem Statement -- 3 Methodology -- 3.1 Inner-Approximation Computation Framework -- 3.2 Extraction of Zonotopes' Boundaries -- 3.3 Zonotopal Tiling and Boundary Refinement -- 3.4 Contracting Computed Outer-Approximation -- 4 Experiments…”

Tabla de Contenidos: “…The Equal Employment Opportunity Act (EEOA) (1972) -- 2.6. The Genetic Information Nondiscrimination Act (GINA) (2008) -- 2.7. …”

Tabla de Contenidos: “…DNA and RNA Store, Transmit, and Help Express Genetic Information -- 2.12. ATP Transfers Energy to Other Compounds -- 3. …”