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The influence of flood conditions upon traditional cob construction is little understood. This paper aims to investigate the ability of cob materials to resist flood situations and documents basic failure mechanisms. This work also seeks to investigate the wettability characteristics of cob materials utilising environmental scanning electron microscopy.

This paper takes the form of a literature review and case study underpinning laboratory experiments.

Cob walls that are suitably compacted, straw reinforced and are composed and manufactured of the correct materials appear to have the ability to resist total failure when subjected to initial flood conditions, however, the duration to which these structures will remain intact has still to be ascertained, and testing is ongoing. A correlation appears to exist between the rate of cob material's compaction and the duration to which the structural integrity of the walls was retained when the samples were submerged in water. In addition, the use of straw reinforcing increased the duration to which the wall could be submerged before failure. Un‐reinforced cob walls that were submerged in simulated floodwaters, exhibited an undercutting pattern of deterioration prior to failure. The materials for cob construction exhibited both hydrophobic and hydrophilic characteristics. This would have an influence on the material's ability to saturate and dehydrate, and also have an impact on moisture transfer mechanisms. Unsaturated cob wall/samples developed surface tension between hydrophilic surfaces and this is believed by the authors to increase inter‐particle bond strength within the material by the suction effect.

This paper is believed to be the first preliminary investigation into the effect of flooding on cob structures. Additionally, it utilises environmental scanning electron microscopy to reveal information about the surface characteristics of the materials and uses wettability studies to assess the hydrophilic and hydrophobic nature of the aforementioned.

Augmented reality (AR) integrates the digital world with the real world and thus, provides a real-time experience to the users. With AR, the immediate surroundings become a learning platform for the users. The perception of the products has been enhanced many times with AR; thus, enriching user experience and responsiveness. The purpose of this paper is to bring forth the basics of AR and provide an overview of the research work carried out by researchers in the implementation of AR in different sectors.

This paper summarizes the usefulness of AR in different industries. The authors have identified the peer-reviewed research publications from Web of Science, Scopus, Google Scholar, etc. The selection of literature has been made based upon the significance of AR in recent times. The industries/sectors where AR has been implemented successfully have been considered for this paper. The paper has been divided into various sections and subsections to bring more clarity to the readers.

This paper presents a brief and a precise information on Industry 4.0 and AR. The basic working of AR system and its implications have also been discussed. The preference of AR over virtual reality (VR) has also been deliberated in this paper. The authors have presented the usefulness of AR in different sectors such as smart factories, ship yard building, online shopping, surgery and education. This paper discusses the AR-ready procedures being followed in these sectors.

AR has been an add-on to VR systems. The processes in industries have become very handy and informative with AR. Because the application of AR in different sectors has not been discussed in a single paper; thus, this work presents a systematic literature review on the applications of AR in different sectors/industries.

The Macintosh computer, using Mac‐Paint, is a flexible, easy to use and powerful tool for producing informational, instructional and promotional signage. Specific applications at Carnegie‐Mellon University Libraries are illustrated.

The chapter studies the functioning of the so-called “voluntary” carbon offset market, a market in which moral controversies take place. The analysis dwells on the theoretical framework that enables us to study the functioning of a contested market through particular devices. The chapter seeks to contribute to the literature on moral struggles within markets by focusing the attention on one specific device: relational work, including several dimensions like meeting between seller and buyer, establishing contracts and maintaining the relationship with clients in the long run. By studying relational work, the authors highlight how this basic market activity is a crucial device that makes it possible for a contested market to continue to exist.

The purpose of this exploratory paper is to define the characteristics of foster youth, discuss the impacts of trauma on their lives, present results from a foster youth survey conducted at a university in the Midwest to assess the needs of former foster youth and discuss the ways universities can support this vulnerable population of students. Several themes emerged from the study. The financial need emerged at the top. The number of essential needs was striking. For example, more than half of the respondents did not have their basic needs met. These needs included food, medical/dental services, clothing and transportation needs.

Faculty researchers who were part of a university task force developed a survey to assess the needs of former foster youth who were enrolled in classes at the time that this research was conducted. The survey was developed and disseminated through Qualtrics, a software that distributed survey links via email in a confidential manner. The survey consisted of a variety of general questions related to participants’ background and demographic information, as well as the specific needs and services that they were interested in receiving. The survey was sent out one-time peer week for three weeks in the late fall semester.

Findings indicated that 9% of respondents (n = 4) ranked the greatest areas of need as being financial assistance for school supplies, medical/dental care and financial aid advice. Similarly, 7% of respondents (n = 3) expressed the greatest needs as being affordable housing, housing during semester breaks, financial support for a laptop, financial counseling, counseling services, emergency financial assistance and internship and career counseling.

Limitations of this research include the use of a small and homogenous participant sample size, with data collected from one university campus. Therefore, results do not necessarily generalize elsewhere and replication is necessary for other geographical regions that include additional participants from varying backgrounds. Because data were not collected from a control group of nonfoster students, it is also unknown whether the identified student needs from this research substantially differ from the general population.

All students do not need the same support, so a menu of services should be provided. These services could include care packages that include basic academic necessities (e.g., laptops, school supplies, book vouchers, health and beauty supplies), financial literacy training, mentorship opportunities, a one-credit course on independent living skills, providing connections to community resources (e.g., childcare, housing, employment) and targeted advising for this specific student population, many of which who are from the first generation and low-income backgrounds. Another opportunity is to provide, possibly mandate, professional development for faculty and staff on the characteristics and needs of these vulnerable students.

Institutions have an opportunity, and arguably an obligation, to identify these students as early as possible. This can be done through collaboration with state human service departments, high school counselors and using demographic data found in the Free Application for Federal Student Aid form. Recruiting, retaining and supporting this population of students are critical because many have needs similar to other marginalized populations that the authors are so intensely focused on.

Develops an original 12‐step management of technology protocol and applies it to 51 applications which range from Du Pont’s failure in Nylon to the Single Online Trade Exchange for Auto Parts procurement by GM, Ford, Daimler‐Chrysler and Renault‐Nissan. Provides many case studies with regards to the adoption of technology and describes seven chief technology officer characteristics. Discusses common errors when companies invest in technology and considers the probabilities of success. Provides 175 questions and answers to reinforce the concepts introduced. States that this substantial journal is aimed primarily at the present and potential chief technology officer to assist their survival and success in national and international markets.

Outlines Heath, Jarrow and Morton’s (1992) method (MJM) for modelling interest rates and refers to other research showing that although it is generally non‐Markov, this can be modified if the volatility structure depends on relative maturity term rather than calendar maturity date. Develops a re‐indexed MJM model, applies it to 1975‐1991 data on non‐callable US treasury bills, notes and bonds; and compares its goodness of fit with Jordan (1984). Finds the forward function consistent with constant parameters, that state variables can be identified from the cross‐section estimates and that they have zero mean first differences when analysed through time series. Concludes that the forward function follows a martingale and promises further research.

In 1994, MIT's Sloan School of Management began a global initiative to explore the future of organizations. This initiative was a joint venture between the Sloan faculty and a number of companies from around the world. Part of the early work of the initiative was to shape a clear understanding of the issues organizations must face and resolve in the coming years. We asked three of the principals in this important work to summarize their research approach as a way of setting the stage for this issue's discussion about organizing for the future.

Crime linkage analysis (CLA) can be applied in the police investigation-phase to sift through a database to find behaviorally similar cases to the one under investigation and in the trial-phase to try to prove that the perpetrator of two or more offences is the same, by showing similarity and distinctiveness in the offences. Lately, research has moved toward more naturalistic settings, analyzing data sets that are as similar to actual crime databases as possible. One such step has been to include one-off offences in the data sets, but this has not yet been done with homicide. The purpose of this paper is to investigate how linking accuracy of serial homicide is affected as a function of added hard-to-solve one-off offences.

A sample (N = 117–1160) of Italian serial homicides (n = 116) and hard-to-solve one-off homicides (n = 1–1044, simulated from 45 cases) was analyzed using a Bayesian approach to identify series membership, and a case by case comparison of similarity using Jaccard’s coefficient. Linking accuracy was evaluated using receiver operating characteristics and by examining the sensitivity and specificity of the model.

After an initial dip in linking accuracy (as measured by the AUC), the accuracy increased as more one-offs were added to the data. While adding one-offs made it easier to identify correct series (increased sensitivity), there was an increase in false positives (decreased specificity) in the linkage decisions. When rank ordering cases according to similarity, linkage accuracy was affected negatively as a function of added non-serial cases.

While using a more natural data set, in terms of adding a significant portion of non-serial homicides into the mix, does introduce error into the linkage decision, the authors conclude that taken overall, the findings still support the validity of CLA in practice.

This is the first crime linkage study on homicide to investigate how linking accuracy is affected as a function of non-serial cases being introduced into the data.