Explore the vast range of titles available.

\"Software product lines provide a systematic means of managing variability in a suite of products. They have many benefits but there are three major barriers that can prevent them from reaching their full potential. First, there is the challenge of scale: a large number of variants may exist in a product line context and the number of interrelationships and dependencies can rise exponentially. Second, variations tend to be systemic by nature in that they affect the whole architecture of the software product line. Third, software product lines often serve different business contexts, each with its own intricacies and complexities. The AMPLE (http://www.ample-project.net/) approach tackles these three challenges by combining advances in aspect-oriented software development and model-driven engineering. The full suite of methods and tools that constitute this approach are discussed in detail in this edited volume and illustrated using three real-world industrial case studies\"-- Provided by publisher.

Many historical processes exhibit recurrent patterns of change. Century-long periods of population expansion come before long periods of stagnation and decline; the dynamics of prices mirror population oscillations; and states go through strong expansionist phases followed by periods of state failure, endemic sociopolitical instability, and territorial loss. Peter Turchin and Sergey Nefedov explore the dynamics and causal connections between such demographic, economic, and political variables in agrarian societies and offer detailed explanations for these long-term oscillations--what the authors call secular cycles.

The discourse surrounding China's state-capitalist economic model has garnered attention among scholars and practitioners, who have noted its growing appeal in developing nations. This model, which blends elements of state control with market-driven forces, was prominently showcased during the 19th National Congress of the Chinese Communist Party in 2017, where Xi Jinping lauded it as a pioneering approach to modernization. Given the skepticism regarding its universal applicability, this study investigates how Ghanaian elites perceive Chinese state capitalism and its replicability and feasibility in Ghana. The findings reveal a prevalent pattern among respondents expressing disillusionment with traditional capitalist structures and demonstrating openness to exploring China's state-capitalist model as an alternative pathway to development. While some respondents emphasized the importance of developing a distinct, nationally tailored economic system that incorporates elements of the Chinese approach, most saw value in adopting key aspects of state capitalism. Intriguingly, the study reveals circumstances where, despite some Ghanaian elites expressing concerns about the shortcomings of free market capitalism, they tend to support neoliberal principles overall.

In this work, a plant trial was conducted on an industrial low pressure die casting (LPDC) manufacturing process for the production of aluminum alloy wheels. Various types of data have been acquired, including extensive measurements of temperature at different locations (die, wheel and cooling channels), pressure in cooling channels and size/location of shrinkage porosity in the produced wheels. Moreover, two process conditions were tested in the trial—one was the standard production process condition and the other was designed to generate shrinkage porosity in wheels by altering the die temperature. The large amount of quantitative data acquired in this study helped us to understand the key transport phenomena occurring in the process, which include: (1) a thorough picture of the evolution in temperature at a large number of discrete locations in the die and the casting; (2) the dynamic and complicated heat transfer in the cooling channels both water-on and water-off stages, associated with boiling water heat transfer. This paper (Part I) presents the results and findings obtained from the process characterization. The follow-on paper (Part II) will introduce the developed modeling methodology based on the data produced from this work.

Developing high quality, reliable and on time software systems is challenging due to the increasing size and complexity of these systems. Traditional software development approaches are not suitable for dealing with such challenges, so several approaches have been introduced to increase the productivity and reusability during the software development process. Two of these approaches are Component-Based Software Engineering (CBSE) and Model-Driven Software Development (MDD) which focus on reusing pre-developed code and using models throughout the development process respectively. There are many research studies that show the benefits of using software components and model-driven approaches. However, in many cases the development process is either ad-hoc or not well-defined. This paper proposes a new software development process model that merges CBSE and MDD principles to facilitate software development. The model is successfully tested by applying it to the development of an e-learning system as an exemplar case study.

This book considers crucial changes to Malaysian economic areas and social well-being. The chapters cover diverse industries such as IT, green technology, retailing, banking, tourism and hospitality, education, logistics, finance, banking, and many others.

Background: Soccer is an increasingly popular sport for children and adolescents in the United States. Little is known about participation patterns related to sport specialization. Purpose: To investigate soccer participation levels and sport specialization characteristics among youth soccer athletes. Study Design: Cross-sectional study. Methods: Adolescent athletes aged between 12 and 18 years completed an online survey addressing participant demographics, sports and soccer participation history, and level of specialization. Descriptive analyses characterized participation, while chi-square and Kruskal-Wallis tests assessed the influence of specialization, sex, and grade on survey variables. Results: Overall, 83.7% of 746 respondents participated in an organized soccer league outside of school, and 37% played in multiple leagues concurrently. Nearly three-quarters of respondents trained in soccer more than 8 months of the year, with those who participated in club soccer being more likely to train more than 8 months of the year. More respondents were classified as high specialization (37.5%), followed by moderate (35.6%) and low (28.6%) specialization. No differences between sexes were noted for level of specialization or quitting other sports to specialize in soccer, but male athletes were more likely to train more than 8 months per year compared with female athletes. Respondents in older grades (9th-10th and 11th-12th grades) were more likely to be highly specialized and quit other sports to focus on soccer. No differences between grade levels were found among respondents training more than 8 months per year. Conclusion: The study findings suggest that many youth soccer athletes participated in multiple teams or leagues at the same time and trained more than 8 months of the year. Characteristics including participation on a club team, level of specialization, and male sex were associated with a greater likelihood of exceeding the 8-month training recommendation.

BackgroundAccording to the Progress in International Reading Literacy Study (PIRLS, 2006 with 87%, 2011 with 82%, 2016 with 78%, 2021 with 81%), an international reading comprehension assessment conducted at the Grade 4 level, South African learners perform very poorly in reading comprehension, even when reading in their African home languages.ObjectivesTo analyse learner performance in the Intermediate Phase (IP) focusing on English First Additional Language (EFAL) before and after the implementation of the Primary School Reading Improvement Programme (PSRIP) in Johannesburg West (JW) district. The study aims to analyse EFAL learning gains obtained during the pilot phase of the PSRIP in JW district.MethodQuantitative data (learner performance in EFAL) was collected from South Africa-School Administration and Management System (SA-SAMS) in six schools in JW. Learner performance marks from Term 1 before PSRIP was implemented and from Term 4 after PSRIP implementation were analysed quantitatively using System Analysis Program Development (SAP) data and analytics solutions.ResultsLearner performance analysis based on the DBE pass rates indicates positive outcomes, learner performance increased in 3 out of 6 schools; however, based on the PSRIP pass rates, only 2 out of 6 schools managed to get 90% of their learners obtaining at least 50% in EFAL after PSRIP was introduced.ConclusionImplementation of PSRIP affected learner performance positively; however, more support is needed to meet the PSRIP targets.ContributionBased on these findings, there is a need to further investigate how (if at all) the PSRIP strategies can be used in other languages that are taught at IP level. Study results will inform language in education policies. Furthermore, the Department of Basic Education’s reading campaigns may adopt the benefits of the PSRIP in improving literacy development in other South African languages including the indigenous languages.

An overview of the Community Earth System Model Version 2 (CESM2) is provided, including a discussion of the challenges encountered during its development and how they were addressed. In addition, an evaluation of a pair of CESM2 long preindustrial control and historical ensemble simulations is presented. These simulations were performed using the nominal 1° horizontal resolution configuration of the coupled model with both the “low‐top” (40 km, with limited chemistry) and “high‐top” (130 km, with comprehensive chemistry) versions of the atmospheric component. CESM2 contains many substantial science and infrastructure improvements and new capabilities since its previous major release, CESM1, resulting in improved historical simulations in comparison to CESM1 and available observations. These include major reductions in low‐latitude precipitation and shortwave cloud forcing biases; better representation of the Madden‐Julian Oscillation; better El Niño‐Southern Oscillation‐related teleconnections; and a global land carbon accumulation trend that agrees well with observationally based estimates. Most tropospheric and surface features of the low‐ and high‐top simulations are very similar to each other, so these improvements are present in both configurations. CESM2 has an equilibrium climate sensitivity of 5.1–5.3 °C, larger than in CESM1, primarily due to a combination of relatively small changes to cloud microphysics and boundary layer parameters. In contrast, CESM2's transient climate response of 1.9–2.0 °C is comparable to that of CESM1. The model outputs from these and many other simulations are available to the research community, and they represent CESM2's contributions to the Coupled Model Intercomparison Project Phase 6. Plain Language Summary The Community Earth System Model (CESM) is an open‐source, comprehensive model used in simulations of the Earth's past, present, and future climates. The newest version, CESM2, has many new technical and scientific capabilities ranging from a more realistic representation of Greenland's evolving ice sheet, to the ability to model in detail how crops interact with the larger Earth system, to improved representation of clouds and rain, and to the addition of wind‐driven waves on the model's ocean surface. The data sets from a large set of simulations that include integrations for the preindustrial conditions (1850s) and for the 1850‐2014 historical period are available to the community, representing CESM2's contributions to the Coupled Model Intercomparison Project Phase 6 (CMIP6). Key Points Community Earth System Model Version 2 includes many substantial science and infrastructure improvements since its previous version Preindustrial control and historical simulations were performed with low‐top and high‐top with comprehensive chemistry atmospheric models Comparisons to observations are improved relative to previous versions, including major reductions in radiation and precipitation biases

A new release of the Max Planck Institute for Meteorology Earth System Model version 1.2 (MPI‐ESM1.2) is presented. The development focused on correcting errors in and improving the physical processes representation, as well as improving the computational performance, versatility, and overall user friendliness. In addition to new radiation and aerosol parameterizations of the atmosphere, several relatively large, but partly compensating, coding errors in the model's cloud, convection, and turbulence parameterizations were corrected. The representation of land processes was refined by introducing a multilayer soil hydrology scheme, extending the land biogeochemistry to include the nitrogen cycle, replacing the soil and litter decomposition model and improving the representation of wildfires. The ocean biogeochemistry now represents cyanobacteria prognostically in order to capture the response of nitrogen fixation to changing climate conditions and further includes improved detritus settling and numerous other refinements. As something new, in addition to limiting drift and minimizing certain biases, the instrumental record warming was explicitly taken into account during the tuning process. To this end, a very high climate sensitivity of around 7 K caused by low‐level clouds in the tropics as found in an intermediate model version was addressed, as it was not deemed possible to match observed warming otherwise. As a result, the model has a climate sensitivity to a doubling of CO2 over preindustrial conditions of 2.77 K, maintaining the previously identified highly nonlinear global mean response to increasing CO2 forcing, which nonetheless can be represented by a simple two‐layer model. Key Points An updated version of the Max Planck Institute for Meteorology Earth System Model (MPI‐ESM1.2) is presented The model includes both code corrections and parameterization improvements Despite this, the model maintains an equilibrium climate sensitivity, which rises with warming