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A building deteriorates over time due to aging, wear and tear, and inadequate maintenance. Building diagnosis requires a sound knowledge of engineering, building defects, and detection tools to assess the condition of a building. The physical deterioration of a building reduces its ability to perform its intended function, while environmental deterioration influences the comfort and health of building occupants. This study presents a multi-tiered framework for the inspection of building elements and the environmental conditions of a building.

A three-tiered building inspection framework is proposed in this study, which consists of the following: Tier-I—a preliminary inspection, Tier-II—a detailed inspection, and Tier-III—an expert investigation. Each tier of inspection assesses the severity of building defects using different technologies for different levels of inspection.

Proposed multi-tier inspection framework is tested and implemented on a case study. Results were promising, with organized data management on a common platform for both physical and environmental condition inspection having the potential to save time.

The application program developed for the implementation of structured multi-tiered building inspection provides better documentation and data management for building inspection data that can save time involved in manual data operations in traditional paper-based processes.

The 1990 reauthorization of PL 94-142, the Individuals with Disabilities Act (IDEA), emphasized the need for applied research in schools to prevent the development of emotional disturbance. Prevention research then led to mandates in IDEA 1997 that schools must develop positive behavior interventions and supports (PBIS) for children and youth whose behavior impeded their educational performance. This chapter describes how the ensuing research and implementation regarding each of the three-tiers of PBIS have influenced the educational outcomes of students with EBD. Recommendations for school staff using the three-tiered PBUS model are provided so that students with EBD can benefit from implementation of PBIS structures and supports.

Multitiered systems of support (MTSS) is widely advocated as an approach to improving education for all students, including students with disabilities. A hope for MTSS is that it can solve or mitigate many problems associated with providing special education to students with disabilities. While MTSS shows some promise for better addressing these problems, enthusiasm for MTSS and unsound thinking about what MTSS can do, cannot do, and has not done can veil lack of progress toward improving special education, as well as obscure what improving special education requires. We suggest that for both MTSS and special education to make more progress toward achieving their promises, several reality checks are urgently needed.

The purpose of this paper is to propose an algorithm that is based on the ant colony optimization (ACO) metaheuristic for producing harmonized melodies. ACO is a nature inspired metaheuristic where a colony of ants searches for an optimum of a function. The algorithm works in two stages. In the first stage it creates a melody. The obtained melody is then harmonized according to the rules of baroque harmony in the second stage. A multi‐objective version of the algorithm is also proposed, where each tier is optimized as a separate objective.

The ACO metaheuristic is adapted to graphs representing notes and chords. Desirability of a sequence of notes is measured by conformance to compositional rules. The fitness of a melody is evaluated with five equally weighted rules governing smoothness of the melody curve, its contour, tendency tone resolution, tone colors and the pitch of the final note. Harmonization is guided by six rules, grouped into three tiers of two rules each. These rules cover chord arrangement, voice distance, voice leading, harmonic progression, smoothness, and chord resolution. Rules of a tier do not score unless those of the previous tier yield high values.

The proposed algorithm improves on the only other existing musical ACO by adding the notion of harmony and by evolving voices codependently. The output is comparable to different types of other existing algorithms (genetic algorithm, rule‐based search algorithm) in the field. The multi‐objective variant significantly enhances solution quality and convergence speed, which makes extensions of the system for real time performance realistic.

This algorithm is the first ACO algorithm proposed for the problem of melody creation and harmonization.

Tier 2 intervention is defined by the application of brief, efficient, and accessible supports for students who are at risk for social-emotional and behavioral concerns. Historically, Tier 2 interventions have been delivered in accordance with a standard protocol, with each student receiving the same general strategy in an undifferentiated manner. Yet, research has suggested the potential value of an adaptive Tier 2 approach, wherein brief assessments are conducted to determine which intervention (or adapted version of one particular intervention) is best suited to a student's individual needs. Within this chapter, we provide an overview of procedures related to adaptive Tier 2 intervention and discuss different approaches one might take to this practice. We conclude with a discussion of directions for future research in this area if adaptive Tier 2 intervention is to be widely adopted, implemented, and sustained within schools.

This chapter presents an over-review of the related literature and describes current findings in learning disabilities. Specifically, a definition of learning disabilities (LD) is provided, followed by a description of the prognosis for students identified with LD, predictors of success, factors in coping, and the relationship of LD to behavior. Methodologies are presented to effectively train teachers in the use of research-validated methodologies, particularly in the area of positive behavior support (PBS). The authors also explain how a problem-solving process, embedded within the framework of school-wide PBS, can help children with learning disabilities increase their chances of achieving success over time and across a broad range of environments. Case studies and an application process are included to support and guide teachers in their implementation efforts.

The National Intelligence Model, described as a ‘model for policing’, defines a process for setting priorities and a framework in which problem solving can be applied. Its strength is a systematic approach that demands standard products and consistent methods of working, which ensure high levels of ownership and accountability. The problem solving approach can also work within this framework. It provides techniques to assist in analysis and develops the tasking and co‐ordinating mechanism through multi‐agency partnerships, which can deliver more sustainable solutions.

The purpose of this paper is to understand both the facts and the values associated with the breadth of issues, and the principles related to sustainable real estate for institutional investors. Sustainable real estate is a growing sector within the commercial real estate industry, and yet, the decision-making practices of institutional investors related to sustainability are still not well understood. In an effort to fill that gap, this research investigates the post-global financial crisis (GFC) motivations driving the implementation of sustainability initiatives, the implementation strategies used, and the predominant eco-indicators and measures used by institutional investors.

This paper presents the results of a three-round modified Delphi study conducted in the USA in 2011-2012 investigating the nature of performance measurements and reporting requirements in sustainable commercial real estate and their impact on the real estate decision-making process used by institutional investors. Two rounds of in-depth interviews were conducted with 14 expert panelists. An e-questionnaire was used in the third round to verify qualitative findings.

The key industry drivers and performance indicators influencing institutional investor decision making were associated with risk management of assets and whether initiatives can improve competitive market advantage. Industry leaders advocate for simple key performance indicators, which is in contrast to the literature which argues for the need to adopt common criteria and metrics. Key barriers to the adoption of sustainability initiatives are discussed and a decision framework is presented.

This research aims to help industry partners understand the drivers motivating institutional investors to uptake sustainability initiatives with the aim of improving decision making, assessment, and management of sustainable commercial office buildings.

Building on the four generations of the sustainability framework presented by Simons et al. (2001), this research argues that the US real estate market has yet again adjusted its relationship with sustainability and revises their framework to include a new, post-GFC generation for decision making, assessment, and management of sustainable real estate.

The study aims to analyze the evolution of intrapreneurship in terms of its productivity and impact while identifying major themes in the literature. It also seeks to suggest future research directions.

This study employs bibliometric analysis utilizing the Scopus database. The study used the number of publications and citations to measure the productivity and impact. In addition, bibliographic coupling was used to map intellectual networking. A content analysis was also performed to identify the antecedents and outcomes of intrapreneurship.

The study identifies the trends and trajectories of intrapreneurship research in terms of performance and impact. Based on the content analysis of intrapreneurship literature, the study finds outcomes and major domains of antecedents.

This research contributes to the evolving intrapreneurship field by comprehensively analyzing its changing landscape. It offers valuable insights and recommendations for future research, highlighting potential areas for further exploration and deepening the understanding of intrapreneurship within the organizational context.

This paper proposes a framework that describes the boundary spanning supply chain management (SCM) initiatives taken by leading companies. Supported by existing literature and interviews with managers from large companies reflecting a cross section of businesses, the framework suggests four motivating domains or factors that could support SCM initiatives. They are supply chain understanding, design, improvement, and coordination. Based on the sand cone model, the framework also suggests four levels of SCM integration over which these motivating factors are relevant to the firm and/or supply chain. They range from no integration outside the functional silos of a single firm to a fully integrated multi‐tier supply chain. Unlike existing frameworks that are based upon the flow of material and information through the supply chain, our framework is derived by combining the concept of integration with the motivating domains that characterize SCM initiatives. It captures the combined and overlapping impact of supply chain initiatives from a more strategic perspective and is a useful additional resource for practitioners who seek to chart potential improvements to their supply chain from a competitive standpoint.