diff --git a/apps/sa-ews1/sa-ews1.cpp b/apps/sa-ews1/sa-ews1.cpp
index 04f29e3..851459c 100644
--- a/apps/sa-ews1/sa-ews1.cpp
+++ b/apps/sa-ews1/sa-ews1.cpp
@@ -1,620 +1,620 @@
 //===-- apps/sa-ews1/sa-ews1.cpp --------------------------------*- C++ -*-===//
 //
 //                 The RoSA Framework -- Application SA-EWS1
 //
 // Distributed under the terms and conditions of the Boost Software License 1.0.
 // See accompanying file LICENSE.
 //
 // If you did not receive a copy of the license file, see
 // http://www.boost.org/LICENSE_1_0.txt.
 //
 //===----------------------------------------------------------------------===//
 ///
 /// \file apps/sa-ews1/sa-ews1.cpp
 ///
 /// \author David Juhasz (david.juhasz@tuwien.ac.at)
 ///         Maximilian Goetzinger (maxgot@utu.fi)
 ///
 /// \date 2017-2020
 ///
 /// \brief The application SA-EWS1 implements the case study from the paper:
 /// M. Götzinger, A. Anzanpour, I. Azimi, N. TaheriNejad, and A. M. Rahmani:
-/// Enhancing the Self-Aware Early Warning Score System through Fuzzified Data
+/// Enhancing the Self-Aware Early Warning Score System Through Fuzzified Data
 /// Reliability Assessment. DOI: 10.1007/978-3-319-98551-0_1
 //===----------------------------------------------------------------------===//
 
 #include "rosa/agent/Abstraction.hpp"
 #include "rosa/agent/CrossCombinator.h"
 #include "rosa/agent/ReliabilityConfidenceCombination.h"
 
 #include "rosa/config/version.h"
 
 #include "rosa/app/Application.hpp"
 
 #include "rosa/support/csv/CSVReader.hpp"
 #include "rosa/support/csv/CSVWriter.hpp"
 #include "rosa/support/iterator/split_tuple_iterator.hpp"
 
 #include "cxxopts/cxxopts.hpp"
 
 #include <fstream>
 
 using namespace rosa;
 using namespace rosa::agent;
 using namespace rosa::app;
 using namespace rosa::terminal;
 using namespace rosa::csv;
 using namespace rosa::iterator;
 
 const std::string AppName = "SA-EWS1";
 
 /// Representation type of warning levels.
 /// \note Make sure it suits all defined enumeration values.
 using WarningScoreType = uint8_t;
 
 /// Warning levels for abstraction.
 enum WarningScore : WarningScoreType {
   No = 0,
   Low = 1,
   High = 2,
   Emergency = 3
 };
 
 /// Vector with all possible warning levels.
 std::vector<WarningScore> warningScores = {No, Low, High, Emergency};
 
 /// Type used to represent reliability values.
 using ReliabilityType = double;
 
 /// The result type of low-level functions.
 using WarningValue = AppTuple<WarningScoreType, ReliabilityType>;
 
 /// Helper function creating an application sensor and setting its execution
 /// policy for decimation.
 ///
 /// \note The sensors are created without defining a normal generator function,
 /// which is suitable for simulation only.
 ///
 /// \tparam T type of values for the sensor to generate
 ///
 /// \param App the application to create the sensor in
 /// \param Name name of the new sensor
 /// \param Decimation the decimation parameter
 ///
 /// \return handle for the new sensor
 template <typename T>
 AgentHandle createSensor(std::unique_ptr<Application> &App,
                          const std::string &Name, const size_t Decimation) {
   AgentHandle Sensor = App->createSensor<T>(Name);
   App->setExecutionPolicy(Sensor, AppExecutionPolicy::decimation(Decimation));
   return Sensor;
 }
 
 /// Helper function creating an application agent for pre-processing sensory
 /// values and setting its execution policy for decimation.
 ///
 /// Received values are assessed for reliability and abstracted into a \c
 /// WarningScore. The result of the processing function is a pair of assessed
 /// reliability and abstracted values.
 ///
 /// \note The result, \c WarningScore, is returned as \c WarningScoreType
 /// because enumeration types are not integrated into built-in types. Hence, a
 /// master to these agents receives its input as \c WarningScoreType values, and
 /// may cast them to \c WarningScore explicitly.
 ///
 /// \tparam T type of values to receive from the sensor
 ///
 /// \param App the application to create the agent in
 /// \param Name name of the new agent
 /// \param Decimation the decimation parameter
 /// \param A abstraction to use
 /// \param R reliability/confidence combination to use
 ///
 /// \return handle for the new agent
 template <typename T>
 AgentHandle createLowLevelAgent(
     std::unique_ptr<Application> &App, const std::string &Name,
     const size_t Decimation, const Abstraction<T, WarningScore> &A,
     ReliabilityAndConfidenceCombination<T, WarningScore, ReliabilityType> &R) {
   using result = Optional<WarningValue>;
   using input = AppTuple<T>;
   using handler = std::function<result(std::pair<input, bool>)>;
   AgentHandle Agent = App->createAgent(
       Name, handler([&, Name](std::pair<input, bool> I) -> result {
         LOG_INFO_STREAM << "\n******\n"
                         << Name << " " << (I.second ? "<New>" : "<Old>")
                         << " value: " << std::get<0>(I.first) << "\n******\n";
         const auto SensorValue = std::get<0>(I.first);
         const WarningScoreType Score = A(SensorValue);
         const ReliabilityType InputReliability =
             R.getInputReliability(SensorValue);
         return {WarningValue(Score, InputReliability)};
       }));
   App->setExecutionPolicy(Agent, AppExecutionPolicy::decimation(Decimation));
   return Agent;
 }
 
 /// Helper function to print an error message in red color to the terminal and
 /// exit from the application.
 ///
 /// \note The function never returns as it calles `exit()`.
 ///
 /// \param Error error message
 /// \param ExitCode exit code to return from the application
 void logErrorAndExit(const std::string &Error, const int ExitCode) {
     LOG_ERROR_STREAM << Color::Red << Error << Color::Default << std::endl;
     exit(ExitCode);
 }
 
 int main(int argc, char *argv[]) {
   LOG_INFO_STREAM << '\n'
                   << library_string() << " -- " << Color::Red << AppName
                   << " app" << Color::Default << '\n';
 
   /// Paths for the CSV files for simulation.
   ///
   ///@{
   std::string DataCSVPath;
   std::string ScoreCSVPath;
   ///@}
 
   /// Whether CSV files have header row at the beginning.
   bool CSVHeader = false;
 
   /// Delimiter character in CSV files.
   char CSVDelimiter = ',';
 
   /// Decimation of sensors and agents.
   size_t Decimation = 1;
 
   /// How many cycles of simulation to perform.
   size_t NumberOfSimulationCycles = 16;
 
   // Handle command-line arguments.
   try {
     cxxopts::Options Options(argv[0], library_string() + " -- " + AppName);
     Options.add_options()("i,input",
                           "Path for the CSV file providing input data",
                           cxxopts::value(DataCSVPath), "file")
                          ("o,output",
                           "Path for the CSV file to write output scores",
                           cxxopts::value(ScoreCSVPath), "file")
                          ("header", "CSV files have header row",
                           cxxopts::value(CSVHeader)->default_value("false"))
                          ("delimiter", "CSV delimiter character",
                           cxxopts::value(CSVDelimiter)->default_value(","), "char")
                          ("d,decimation", "Decimation of sensors and agents",
                           cxxopts::value(Decimation)->default_value("1"), "int")
                          ("c,cycles", "Number of simulation cycles to perform",
                           cxxopts::value(NumberOfSimulationCycles)->default_value("16"), "int")
                          ("h,help", "Print usage");
 
     auto Args = Options.parse(argc, argv);
 
     if (Args.count("help")) {
       LOG_INFO_STREAM << '\n' << Options.help() << std::endl;
       exit(0);
     }
 
     if (Args.count("input") == 0) {
         throw std::invalid_argument("Argument --input must be defined.");
     }
     if (Args.count("output") == 0) {
         throw std::invalid_argument("Argument --output must be defined.");
     }
   } catch (const cxxopts::OptionException &e) {
     logErrorAndExit(e.what(), 1);
   } catch (const std::invalid_argument &e) {
     logErrorAndExit(e.what(), 1);
   }
 
   std::unique_ptr<Application> App = Application::create(AppName);
 
   //
   // Relevant types and definitions.
   //
 
   using HRType = int32_t;
   using HRParFun = PartialFunction<HRType, ReliabilityType>;
   using HRLinFun = LinearFunction<HRType, ReliabilityType>;
 
   using BRType = int32_t;
   using BRParFun = PartialFunction<BRType, ReliabilityType>;
   using BRLinFun = LinearFunction<BRType, ReliabilityType>;
 
   using SpO2Type = int32_t;
   using SpO2ParFun = PartialFunction<SpO2Type, ReliabilityType>;
   using SpO2LinFun = LinearFunction<SpO2Type, ReliabilityType>;
 
   using BPSysType = int32_t;
   using BPSysParFun = PartialFunction<BPSysType, ReliabilityType>;
   using BPSysLinFun = LinearFunction<BPSysType, ReliabilityType>;
 
   using BodyTempType = float;
   using BodyTempParFun = PartialFunction<BodyTempType, ReliabilityType>;
   using BodyTempLinFun = LinearFunction<BodyTempType, ReliabilityType>;
 
   //
   // Create application sensors.
   //
   LOG_INFO("Creating sensors.");
 
   // All sensors are created without defining a normal generator function, but
   // with the default value of the second argument. That, however, requires the
   // data type to be explicitly defined. This is good for simulation only.
   AgentHandle HRSensor = createSensor<HRType>(App, "HR Sensor", Decimation);
   AgentHandle BRSensor = createSensor<BRType>(App, "BR Sensor", Decimation);
   AgentHandle SpO2Sensor =
       createSensor<SpO2Type>(App, "SpO2 Sensor", Decimation);
   AgentHandle BPSysSensor =
       createSensor<BPSysType>(App, "BPSys Sensor", Decimation);
   AgentHandle BodyTempSensor =
       createSensor<BodyTempType>(App, "BodyTemp Sensor", Decimation);
 
   //
   // Create functionalities.
   //
   LOG_INFO("Creating Functionalities for Agents.");
 
   //
   // Define abstractions.
   //
 
   RangeAbstraction<HRType, WarningScore> HRAbstraction(
       {{{0, 40}, Emergency},
        {{40, 51}, High},
        {{51, 60}, Low},
        {{60, 100}, No},
        {{100, 110}, Low},
        {{110, 129}, High},
        {{129, 200}, Emergency}},
       Emergency);
 
   RangeAbstraction<BRType, WarningScore> BRAbstraction({{{0, 9}, High},
                                                         {{9, 14}, No},
                                                         {{14, 20}, Low},
                                                         {{20, 29}, High},
                                                         {{29, 50}, Emergency}},
                                                        Emergency);
 
   RangeAbstraction<SpO2Type, WarningScore> SpO2Abstraction(
       {{{1, 85}, Emergency},
        {{85, 90}, High},
        {{90, 95}, Low},
        {{95, 100}, No}},
       Emergency);
 
   RangeAbstraction<BPSysType, WarningScore> BPSysAbstraction(
       {{{0, 70}, Emergency},
        {{70, 81}, High},
        {{81, 101}, Low},
        {{101, 149}, No},
        {{149, 169}, Low},
        {{169, 179}, High},
        {{179, 200}, Emergency}},
       Emergency);
 
   RangeAbstraction<BodyTempType, WarningScore> BodyTempAbstraction(
       {{{0.f, 28.f}, Emergency},
        {{28.f, 32.f}, High},
        {{32.f, 35.f}, Low},
        {{35.f, 38.f}, No},
        {{38.f, 39.5f}, High},
        {{39.5f, 100.f}, Emergency}},
       Emergency);
 
   //
   // Define reliabilities.
   //
 
   ReliabilityAndConfidenceCombination<HRType, WarningScore, ReliabilityType>
       HRReliability;
   HRReliability.setTimeStep(1);
 
   std::shared_ptr<Abstraction<HRType, ReliabilityType>> HRAbsRel(
       new HRParFun({{{0, 200}, std::make_shared<HRLinFun>(1, 0)},
                     {{200, 300}, std::make_shared<HRLinFun>(200, 1, 300, 0)}},
                    0));
   HRReliability.setAbsoluteReliabilityFunction(HRAbsRel);
 
   std::shared_ptr<Abstraction<HRType, ReliabilityType>> HRRelSlope(new HRParFun(
       {{{-200, -100}, std::make_shared<HRLinFun>(-200, 0, -100, 1)},
        {{-100, 100}, std::make_shared<HRLinFun>(1, 0)},
        {{100, 200}, std::make_shared<HRLinFun>(100, 1, 200, 0)}},
       0));
   HRReliability.setReliabilitySlopeFunction(HRRelSlope);
 
   ReliabilityAndConfidenceCombination<BRType, WarningScore, ReliabilityType>
       BRReliability;
   BRReliability.setTimeStep(1);
 
   std::shared_ptr<Abstraction<BRType, ReliabilityType>> BRAbsRel(
       new BRParFun({{{0, 40}, std::make_shared<BRLinFun>(1, 0)},
                     {{40, 60}, std::make_shared<BRLinFun>(40, 1, 60, 0)}},
                    0));
   BRReliability.setAbsoluteReliabilityFunction(BRAbsRel);
 
   std::shared_ptr<Abstraction<BRType, ReliabilityType>> BRRelSlope(
       new BRParFun({{{-30, -20}, std::make_shared<BRLinFun>(-30, 0, -20, 1)},
                     {{-20, 20}, std::make_shared<BRLinFun>(1, 0)},
                     {{20, 30}, std::make_shared<BRLinFun>(20, 1, 30, 0)}},
                    0));
   BRReliability.setReliabilitySlopeFunction(BRRelSlope);
 
   ReliabilityAndConfidenceCombination<SpO2Type, WarningScore, ReliabilityType>
       SpO2Reliability;
   SpO2Reliability.setTimeStep(1);
 
   std::shared_ptr<Abstraction<SpO2Type, ReliabilityType>> SpO2AbsRel(
       new SpO2ParFun(
           {
               {{0, 100}, std::make_shared<SpO2LinFun>(1, 0)},
           },
           0));
   SpO2Reliability.setAbsoluteReliabilityFunction(SpO2AbsRel);
 
   std::shared_ptr<Abstraction<SpO2Type, ReliabilityType>> SpO2RelSlope(
       new SpO2ParFun({{{-8, -5}, std::make_shared<SpO2LinFun>(-8, 0, -5, 1)},
                       {{-5, 5}, std::make_shared<SpO2LinFun>(1, 0)},
                       {{5, 8}, std::make_shared<SpO2LinFun>(5, 1, 8, 0)}},
                      0));
   SpO2Reliability.setReliabilitySlopeFunction(SpO2RelSlope);
 
   ReliabilityAndConfidenceCombination<BPSysType, WarningScore, ReliabilityType>
       BPSysReliability;
   BPSysReliability.setTimeStep(1);
 
   std::shared_ptr<Abstraction<BPSysType, ReliabilityType>> BPSysAbsRel(
       new BPSysParFun(
           {{{0, 260}, std::make_shared<BPSysLinFun>(1, 0)},
            {{260, 400}, std::make_shared<BPSysLinFun>(260, 1, 400, 0)}},
           0));
   BPSysReliability.setAbsoluteReliabilityFunction(BPSysAbsRel);
 
   std::shared_ptr<Abstraction<BPSysType, ReliabilityType>> BPSysRelSlope(
       new BPSysParFun(
           {{{-100, -50}, std::make_shared<BPSysLinFun>(-100, 0, -50, 1)},
            {{-50, 50}, std::make_shared<BPSysLinFun>(1, 0)},
            {{50, 100}, std::make_shared<BPSysLinFun>(50, 1, 100, 0)}},
           0));
   BPSysReliability.setReliabilitySlopeFunction(BPSysRelSlope);
 
   ReliabilityAndConfidenceCombination<BodyTempType, WarningScore,
                                       ReliabilityType>
       BodyTempReliability;
   BodyTempReliability.setTimeStep(1);
 
   std::shared_ptr<Abstraction<BodyTempType, ReliabilityType>> BodyTempAbsRel(
       new BodyTempParFun(
           {{{-70.f, -50.f},
             std::make_shared<BodyTempLinFun>(-70.f, 0, -50.f, 1)},
            {{-50.f, 40.f}, std::make_shared<BodyTempLinFun>(1, 0)},
            {{40.f, 60.f}, std::make_shared<BodyTempLinFun>(40.f, 1, 60.f, 0)}},
           0));
   BodyTempReliability.setAbsoluteReliabilityFunction(BodyTempAbsRel);
 
   std::shared_ptr<Abstraction<BodyTempType, ReliabilityType>> BodyTempRelSlope(
       new BodyTempParFun(
           {{{-0.1f, -0.05f},
             std::make_shared<BodyTempLinFun>(-0.1f, 0, -0.05f, 1)},
            {{-0.05f, 0.05f}, std::make_shared<BodyTempLinFun>(1, 0)},
            {{0.05f, 0.1f},
             std::make_shared<BodyTempLinFun>(0.05f, 1, 0.1f, 0)}},
           0));
   BodyTempReliability.setReliabilitySlopeFunction(BodyTempRelSlope);
 
   //
   // Create low-level application agents with \c createLowLevelAgent.
   //
   LOG_INFO("Creating low-level agents.");
 
   AgentHandle HRAgent = createLowLevelAgent(App, "HR Agent", Decimation,
                                             HRAbstraction, HRReliability);
   AgentHandle BRAgent = createLowLevelAgent(App, "BR Agent", Decimation,
                                             BRAbstraction, BRReliability);
   AgentHandle SpO2Agent = createLowLevelAgent(App, "SpO2 Agent", Decimation,
                                               SpO2Abstraction, SpO2Reliability);
   AgentHandle BPSysAgent = createLowLevelAgent(
       App, "BPSys Agent", Decimation, BPSysAbstraction, BPSysReliability);
   AgentHandle BodyTempAgent =
       createLowLevelAgent(App, "BodyTemp Agent", Decimation,
                           BodyTempAbstraction, BodyTempReliability);
 
   //
   // Connect sensors to low-level agents.
   //
   LOG_INFO("Connect sensors to their corresponding low-level agents.");
 
   App->connectSensor(HRAgent, 0, HRSensor, "HR Sensor Channel");
   App->connectSensor(BRAgent, 0, BRSensor, "BR Sensor Channel");
   App->connectSensor(SpO2Agent, 0, SpO2Sensor, "SpO2 Sensor Channel");
   App->connectSensor(BPSysAgent, 0, BPSysSensor, "BPSys Sensor Channel");
   App->connectSensor(BodyTempAgent, 0, BodyTempSensor,
                      "BodyTemp Sensor Channel");
 
   //
   // Create a high-level application agent.
   //
   LOG_INFO("Create high-level agent.");
 
   // Slave positions on BodyAgent.
   enum SlaveIndex : rosa::id_t {
     HRIdx = 0,
     BRIdx = 1,
     SpO2Idx = 2,
     BPSysIdx = 3,
     BodyTempIdx = 4
   };
 
   CrossCombinator<WarningScoreType, ReliabilityType> BodyCrossCombinator;
   BodyCrossCombinator.setCrossLikelinessParameter(1.5);
 
   using WarningLikelinessFun =
       LikelinessFunction<WarningScoreType, ReliabilityType>;
 
   std::shared_ptr<WarningLikelinessFun> BRCrossLikelinessFun(
       new WarningLikelinessFun(0.6));
   BodyCrossCombinator.addCrossLikelinessProfile(HRIdx, BRIdx,
                                                 BRCrossLikelinessFun);
   BodyCrossCombinator.addCrossLikelinessProfile(BRIdx, HRIdx,
                                                 BRCrossLikelinessFun);
   BodyCrossCombinator.addCrossLikelinessProfile(BRIdx, SpO2Idx,
                                                 BRCrossLikelinessFun);
   BodyCrossCombinator.addCrossLikelinessProfile(BRIdx, BPSysIdx,
                                                 BRCrossLikelinessFun);
   BodyCrossCombinator.addCrossLikelinessProfile(BRIdx, BodyTempIdx,
                                                 BRCrossLikelinessFun);
   BodyCrossCombinator.addCrossLikelinessProfile(SpO2Idx, BRIdx,
                                                 BRCrossLikelinessFun);
   BodyCrossCombinator.addCrossLikelinessProfile(BPSysIdx, BRIdx,
                                                 BRCrossLikelinessFun);
   BodyCrossCombinator.addCrossLikelinessProfile(BodyTempIdx, BRIdx,
                                                 BRCrossLikelinessFun);
 
   std::shared_ptr<WarningLikelinessFun> HRBPCrossLikelinessFun(
       new WarningLikelinessFun(2.5));
   BodyCrossCombinator.addCrossLikelinessProfile(HRIdx, BPSysIdx,
                                                 HRBPCrossLikelinessFun);
   BodyCrossCombinator.addCrossLikelinessProfile(BPSysIdx, HRIdx,
                                                 HRBPCrossLikelinessFun);
 
   // The new agent logs its input values and results in a pair of the sum of
   // received warning scores and their cross-reliability.
   AgentHandle BodyAgent = App->createAgent(
       "Body Agent",
       std::function<Optional<WarningValue>(
           std::pair<WarningValue, bool>, std::pair<WarningValue, bool>,
           std::pair<WarningValue, bool>, std::pair<WarningValue, bool>,
           std::pair<WarningValue, bool>)>(
           [&](std::pair<WarningValue, bool> HR,
               std::pair<WarningValue, bool> BR,
               std::pair<WarningValue, bool> SpO2,
               std::pair<WarningValue, bool> BPSys,
               std::pair<WarningValue, bool> BodyTemp)
               -> Optional<WarningValue> {
             LOG_INFO_STREAM << "\n*******\nBody Agent trigged with values:\n"
                             << (HR.second ? "<New>" : "<Old>")
                             << " HR result: " << HR.first << "\n"
                             << (BR.second ? "<New>" : "<Old>")
                             << " BR result: " << BR.first << "\n"
                             << (SpO2.second ? "<New>" : "<Old>")
                             << " SpO2 result: " << SpO2.first << "\n"
                             << (BPSys.second ? "<New>" : "<Old>")
                             << " BPSys result: " << BPSys.first << "\n"
                             << (BodyTemp.second ? "<New>" : "<Old>")
                             << " BodyTemp result: " << BodyTemp.first
                             << "\n******\n";
 
             using ValueType =
                 std::tuple<rosa::id_t, WarningScoreType, ReliabilityType>;
             const std::vector<ValueType> SlaveValues{
                 {HRIdx, std::get<0>(HR.first), std::get<1>(HR.first)},
                 {BRIdx, std::get<0>(BR.first), std::get<1>(BR.first)},
                 {SpO2Idx, std::get<0>(SpO2.first), std::get<1>(SpO2.first)},
                 {BPSysIdx, std::get<0>(BPSys.first), std::get<1>(BPSys.first)},
                 {BodyTempIdx, std::get<0>(BodyTemp.first),
                  std::get<1>(BodyTemp.first)}};
 
             const ReliabilityType crossReliability =
                 BodyCrossCombinator.getOutputLikeliness(SlaveValues);
 
             struct ScoreSum {
               void operator()(const ValueType &V) { ews += std::get<1>(V); }
               WarningScoreType ews{0};
             };
             const ScoreSum scoreSum = std::for_each(
                 SlaveValues.cbegin(), SlaveValues.cend(), ScoreSum());
 
             return {WarningValue(scoreSum.ews, crossReliability)};
           }));
   App->setExecutionPolicy(BodyAgent, AppExecutionPolicy::decimation(Decimation));
 
   //
   // Connect low-level agents to the high-level agent.
   //
   LOG_INFO("Connect low-level agents to the high-level agent.");
 
   App->connectAgents(BodyAgent, HRIdx, HRAgent, "HR Agent Channel");
   App->connectAgents(BodyAgent, BRIdx, BRAgent, "BR Agent Channel");
   App->connectAgents(BodyAgent, SpO2Idx, SpO2Agent, "SpO2 Agent Channel");
   App->connectAgents(BodyAgent, BPSysIdx, BPSysAgent, "BPSys Agent Channel");
   App->connectAgents(BodyAgent, BodyTempIdx, BodyTempAgent,
                      "BodyTemp Agent Channel");
 
   //
   // For simulation output, create a logger agent writing the output of the
   // high-level agent into a CSV file.
   //
   LOG_INFO("Create a logger agent.");
 
   // Create CSV writer.
   std::ofstream ScoreCSV(ScoreCSVPath);
   csv::CSVTupleWriter<WarningScoreType, ReliabilityType>
       ScoreWriter(ScoreCSV, CSVDelimiter);
   if (CSVHeader) {
     ScoreWriter.writeHeader({"EWS", "Reliability"});
   }
 
   // The agent writes each new input value into a CSV file and produces nothing.
   // \note The execution of the logger is not subject to decimation.
   using logger_result = AppTuple<unit_t>;
   AgentHandle LoggerAgent = App->createAgent(
       "Logger Agent",
       std::function<Optional<logger_result>(std::pair<WarningValue, bool>)>(
           [&ScoreWriter](
               std::pair<WarningValue, bool> Score) -> Optional<logger_result> {
             // The state of \p ScoreWriter is not checked, expecting good.
             ScoreWriter << Score.first;
             return {};
           }));
 
   //
   // Connect the high-level agent to the logger agent.
   //
   LOG_INFO("Connect the high-level agent to the logger agent.");
 
   App->connectAgents(LoggerAgent, 0, BodyAgent, "Body Agent Channel");
 
   //
   // Do simulation.
   //
   LOG_INFO("Setting up and performing simulation.");
 
   //
   // Initialize application for simulation.
   //
 
   App->initializeSimulation();
 
   //
   // Open CSV files and register them for their corresponding sensors.
   //
 
   // Type aliases for iterators.
   using CSVDataIterator =
       CSVIterator<HRType, BRType, SpO2Type, BPSysType, BodyTempType>;
   const auto CSVHeaderInfo =
       CSVHeader ? HeaderInformation::HasHeader : HeaderInformation::HasNoHeader;
   std::ifstream DataCSV(DataCSVPath);
   auto [HRRange, BRRange, SpO2Range, BPSysRange, BodyTempRange] =
       splitTupleIterator(
           CSVDataIterator(DataCSV, 0, CSVHeaderInfo, CSVDelimiter),
           CSVDataIterator());
 
   App->registerSensorValues(HRSensor, std::move(begin(HRRange)), end(HRRange));
   App->registerSensorValues(BRSensor, std::move(begin(BRRange)), end(BRRange));
   App->registerSensorValues(SpO2Sensor, std::move(begin(SpO2Range)),
                             end(SpO2Range));
   App->registerSensorValues(BPSysSensor, std::move(begin(BPSysRange)),
                             end(BPSysRange));
   App->registerSensorValues(BodyTempSensor, std::move(begin(BodyTempRange)),
                             end(BodyTempRange));
 
   //
   // Simulate.
   //
 
   App->simulate(NumberOfSimulationCycles);
 
   return 0;
 }
diff --git a/docs/CommandGuide/sa-ews1.rst b/docs/CommandGuide/sa-ews1.rst
index 4b65966..a732fce 100644
--- a/docs/CommandGuide/sa-ews1.rst
+++ b/docs/CommandGuide/sa-ews1.rst
@@ -1,13 +1,14 @@
-SA-EWS1 - Enhancing the Early Warning Score System Using Data Confidence
-========================================================================
+SA-EWS1 - Enhancing the Self-Aware Early Warning Score System Through Fuzzified Data Reliability Assessment
+===========================================================================================================
 
 The application implements the case study from the paper:
 M. Götzinger, N. Taherinejad, A. M. Rahmani, P. Liljeberg, A. Jantsch, and H.
-Tenhunen: Enhancing the Early Warning Score System Using Data Confidence
-`DOI: 10.1007/978-3-319-58877-3_12 <https://doi.org/10.1007/978-3-319-58877-3_12>`_.
+Tenhunen: Enhancing the Self-Aware Early Warning Score System Through Fuzzified
+Data Reliability Assessment.
+`DOI: 10.1007/978-3-319-98551-0_1 <https://doi.org/10.1007/978-3-319-98551-0_1>`_.
 
 The application takes its input from a multi-column CSV file and generates its output to a multi-column CSV file.
 Input and output files are to be defined as command line arguments.
 A full list of available arguments is printed to the `INFO` stream when `--help` is used.
 
 Sample data is available in the `sample_data` subdirectory.