LEADER 01665nam 2200373Ia 450 001 996394228503316 005 20200818231824.0 035 $a(CKB)4940000000119504 035 $a(EEBO)2240873318 035 $a(OCoLC)ocm53981558e 035 $a(OCoLC)53981558 035 $a(EXLCZ)994940000000119504 100 $a20040106d1651 uy 0 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aNo power but of God, and yet a power in every creature, or, A word in season, to all men not void of grace, or deprived of reason$b[electronic resource] $ewherein is held forth that the Almighty God is not wanting to us in impowering of us, but we are wanting to him, in not improving our talent for him ... /$fby Robert Purnel 210 $aLondon $cPrinted for Samuel Newton, dwelling in Wine-street in Bristol$d1651 215 $a[16], 248, [1] p 300 $aWith final errata leaf. 300 $aImperfect: dark, tightly bound with some loss of text. 300 $aReproduction of the original in the National Library of Scotland. 330 $aeebo-0097 606 $aChristian life$xPuritan authors$vEarly works to 1800 606 $aPuritans$xDoctrines$vEarly works to 1800 607 $aGreat Britain$xHistory$yPuritan Revolution, 1642-1660$vSources 615 0$aChristian life$xPuritan authors 615 0$aPuritans$xDoctrines 700 $aPurnell$b Robert$fd. 1666.$0845955 801 0$bEAE 801 1$bEAE 906 $aBOOK 912 $a996394228503316 996 $aNo power but of God, and yet a power in every creature, or, A word in season, to all men not void of grace, or deprived of reason$91889281 997 $aUNISA LEADER 02348oam 2200673I 450 001 9910783619203321 005 20230617004520.0 010 $a1-134-36823-2 010 $a1-134-36824-0 010 $a1-280-10254-3 010 $a9786610102549 010 $a0-203-59853-9 024 7 $a10.4324/9780203598535 035 $a(CKB)1000000000248927 035 $a(SSID)ssj0000132315 035 $a(PQKBManifestationID)11132614 035 $a(PQKBTitleCode)TC0000132315 035 $a(PQKBWorkID)10028024 035 $a(PQKB)10179497 035 $a(MiAaPQ)EBC3060694 035 $a(Au-PeEL)EBL3060694 035 $a(CaPaEBR)ebr10272850 035 $a(CaONFJC)MIL10254 035 $a(OCoLC)922957375 035 $a(OCoLC)57480706 035 $a(FINmELB)ELB132660 035 $a(EXLCZ)991000000000248927 100 $a20180706d2005 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCrime fiction /$fJohn Scaggs 210 1$aLondon ;$aNew York :$cRoutledge,$d2005. 215 $aviii, 170 p 225 1 $aThe new critical idiom 311 $a0-415-31825-4 311 $a0-415-31824-6 320 $aIncludes bibliographical references (p. [151]-165) and index. 327 $achapter INTRODUCTION -- chapter 1 A CHRONOLOGY OF CRIME -- chapter 2 MYSTERY AND DETECTIVE FICTION -- chapter 3 THE HARD-BOILED MODE -- chapter 4 THE POLICE PROCEDURAL -- chapter 5 THE CRIME THRILLER -- chapter 6 HISTORICAL CRIME FICTION -- chapter OSSARY -- chapter GGESTIONSFOR RTHER ADING -- chapter LECT BI BLIOGRAPHY -- chapter DEX. 410 0$aNew critical idiom. 606 $aDetective and mystery stories, English$xHistory and criticism 606 $aDetective and mystery stories, American$xHistory and criticism 606 $aCrime in literature 615 0$aDetective and mystery stories, English$xHistory and criticism. 615 0$aDetective and mystery stories, American$xHistory and criticism. 615 0$aCrime in literature. 676 $a823/.087209 686 $a18.05$2bcl 686 $a18.06$2bcl 700 $aScaggs$b John$f1970-,$01464851 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910783619203321 996 $aCrime fiction$93674645 997 $aUNINA LEADER 05514nam 22007215 450 001 9910485593703321 005 20251225175118.0 010 $a3-030-78230-1 024 7 $a10.1007/978-3-030-78230-6 035 $a(CKB)5590000000487583 035 $a(MiAaPQ)EBC6648153 035 $a(Au-PeEL)EBL6648153 035 $a(DE-He213)978-3-030-78230-6 035 $a(PPN)257358498 035 $a(EXLCZ)995590000000487583 100 $a20210609d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntegration of Constraint Programming, Artificial Intelligence, and Operations Research $e18th International Conference, CPAIOR 2021, Vienna, Austria, July 5?8, 2021, Proceedings /$fedited by Peter J. Stuckey 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (485 pages) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12735 311 08$a3-030-78229-8 327 $aSupercharging Plant Configurations using Z3 -- Why You Should Constrain Your Machine Learned Models -- Contextual Optimization: Bridging Machine Learning and Operations -- A Computational Study of Constraint Programming Approaches for Resource-Constrained Project Scheduling with Autonomous Learning Effects -- Strengthening of feasibility cuts in logic-based Benders decomposition -- Learning Variable Activity Initialisation for Lazy Clause Generation Solvers -- A*-based Compilation of Relaxed Decision Diagrams for the Longest Common Subsequence Problem -- Partitioning Students into Cohorts during COVID-19 -- A Two-Phases Exact Algorithm for Optimization of Neural Network Ensemble -- Complete Symmetry Breaking Constraints for the Class of Uniquely Hamiltonian Graphs -- Heavy-Tails and Randomized Restarting Beam Search in Goal-Oriented Neural Sequence Decoding -- Combining Constraint Programming and Temporal Decomposition Approaches - Scheduling of an Industrial Formulation Plant -- The Traveling Social Golfer Problem: the case of the Volleyball Nations League -- Towards a Compact SAT-based Encoding of Itemset Mining Tasks -- A Pipe Routing Hybrid Approach based on A-Star Search and Linear Programming -- MDDs boost equation solving on discrete dynamical systems -- Variable Ordering for Decision Diagrams: A Portfolio Approach -- Two Deadline Reduction Algorithms for Scheduling Dependent Tasks on Parallel Processors -- Improving the Filtering of Branch-And-Bound MDD solver -- On the Usefulness of Linear Modular Arithmetic in Constraint Programming -- Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem -- Learning Surrogate Functions for the Short-Horizon Planning in Same-Day Delivery Problems -- Between Steps: Intermediate Relaxations between big-M and Convex Hull Formulations -- Logic-Based Benders Decomposition for an Inter-modal Transportation Problem -- Checking ConstraintSatisfaction -- Finding Subgraphs with Side Constraints -- Short-term scheduling of production fleets in underground mines using CP-based LNS -- Learning to Reduce State-Expanded Networks for Multi-Activity Shift Scheduling -- SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning -- Learning to Sparsify Travelling Salesman Problem Instances -- Optimized Item Selection to Boost Exploration for Recommender Systems -- Improving Branch-and-Bound using Decision Diagrams and Reinforcement Learning -- Physician Scheduling During a Pandemic. 330 $aThis volume LNCS 12735 constitutes the papers of the 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2021, which was held in Vienna, Austria, in 2021. Due to the COVID-19 pandemic the conference was held online. The 30 regular papers presented were carefully reviewed and selected from a total of 75 submissions. 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