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Concern about the use of zero-tolerance policies for discipline has led to a search for alternatives such as training in early-warning signs of aggressive behavior and strategies for effective classroom management in schools. This chapter examines the effectiveness of the provision of alternatives to out-of-school suspensions (OSS) in reducing the use of exclusionary discipline for minor misbehavior and the school characteristics associated with these provisions.

This analysis uses the 2008 panel from the National School Survey on Crime and Safety to explore this question for approximately 1,000 high schools. The analysis is a probit regression analysis to examine the association between the provision of alternatives to OSS, school characteristics, and the use of OSS for low-level suspensions. This analytic approach provides wide generalizability for the findings, though it does also limit an ability to identify individual school- or student-level effects.

Findings based on probit regression analysis suggest that structural characteristics of schools – beyond student characteristics – are only somewhat related to variation in the use of OSS for low-level infractions and, on average, the availability of alternatives to OSS do not strongly decrease the frequency of OSS for lower-level infractions. These findings are important in the current era of discipline policy scrutiny where schools and policy-makers are searching for alternatives to traditional suspension practices in a limited empirical evidence base.

While these alternatives hold great promise, little is known about their effectiveness in addressing behavior problems and/or reducing OSS. More importantly, even less is known about the characteristics of schools likely to enact alternatives.

Vietnam is located in the tropical monsoon area, one of five storm hubs of Pacific Asia, and is regularly faced with various disasters. Drought, a normal part of the climate for virtually all regions of Vietnam, is of particular concern, where an interruption of the country already limited water supplies for extended periods of time can produce devastating impacts. Historical records indicate that drought occurs almost everywhere in those places almost every year (Hieu, 2002). However, multiyear droughts are of great concern to water-resource managers, natural-resource managers, and policy makers (Nguyen, 2010b).

With the recognition of the necessity for effectively and successfully managing natural disaster projects for saving human lives and preventing and minimizing the impacts of disasters on socio‐economic developmental progress, this paper seeks to propose a balanced scorecard (BSC) approach in order to maximize the possibilities of desired outcomes from projects.

The BSC approach, which has been widely accepted and used in business organizations, can be adapted for natural disaster management projects. An application of this BSC approach to disaster management projects is discussed with a real flood disaster management project.

In the BSC approach, performance measures should be established in four areas: donors' perspective; the target beneficiaries' perspective; the internal process perspective; and the learning and innovation perspectives. Measures for four areas in each of the five generic phases of managing natural disasters (i.e. preparedness, early warning, emergency relief, rehabilitation and recovery) allow project managers to identify problem areas and areas for further improvements. Ensuring success in one phase will lead to success in the subsequent phase because success in one phase will be the input for the following phase.

In general, this study demonstrates an application of the balanced scorecard approach to natural disaster management projects and, in particular, to a real flood disaster management in Hat Yai Municipality, Southern Thailand. Future research might focus on other types of natural disaster.

Using the balanced scorecard, project managers can understand problem areas as well as areas for improvement in current projects, which would enhance their abilities to take corrective actions that ensure and maximize the possibilities of successful outcomes from implemented projects.

This paper proposes the BSC approach for successfully managing natural disaster projects. This management approach can be applied to various natural disaster management projects.

Myth is a story of archetypical personas who behave in ways and with motives that we recognize in ourselves. We use myth as a way of reminding ourselves of the relationship between motives, actions, and consequences. Myths can serve either as inspirational or cautionary tales, and sometimes as both. But “myth” can also mean a fabricated story intended to create a false impression, and to achieve storytellers’ ends when they have decided the truth will not suffice. We apply the myth of Cassandra to the millennium-long recorded history of giant tsunamis in Japan. After each of these catastrophes, survivors sought to warn future generations of their recurrences. But, each time, their progeny eventually lost the memory of these lessons, and lost their lives when the next monster wave overwhelmed them. Only when they kept the lessons as living knowledge in everyday life, could they manage to escape from monster tsunamis. In this chapter, we use the myth of Cassandra in conjunction with the myth of Prometheus, the bringer of fire to humankind, as a metaphor for Japan’s growing reliance on nuclear power. Government and utility companies built powerful but inherently dangerous cauldrons in the nation’s disaster-prone landscapes, assuring the public they could control the fire’s fury and defend it against nature’s. As images of atomic bomb victims were still vivid and widely shared in Japan, they had to overcome the public fear of radioactivity by fabricating a “myth of safety.” The nuclear disaster made the public distrust the government and utility companies, which lingers in the process of reconstruction from the disaster. Myths can either reveal hidden truths or mask hidden lies. The Japanese people must now learn to distinguish one from the other.

Based on the existing provisions/operations of tsunami warning in the Indian Ocean, authors observed that detection as well as arrival time estimations of regional tsunami service providers (RTSPs) could be improved. In particular, the detection mechanisms have been eccentrically focussed on Sunda and Makran tsunamis, although tsunamis from Carlsberg ridge and Chagos archipelago could generate devastating tsunamis for which inadequate provisions exist for detection and arrival time/wave height estimation. RTSPs resort to assess estimated arrival time/wave heights from a scenario-based, pre-simulated database. These estimations in terms of Sri Lanka have been found inconsistent. In addition, current warning mechanism poorly manages non-seismic tsunamis. Thus, the purpose of this study is to investigate these drawbacks and attempt to carve out a series of suggestions to improve them.

The work initiated with data retrieved from global earthquake and tsunami databases, followed by an estimation of probabilities of tsunamis in the Indian Ocean with particular emphasis on Carlsberg and Chagos tsunamis. Second, probabilities of tsunami detection in each sub-region have been estimated with the use of available tide gauge and tsunami buoy data. Third, the difficulties in tsunami detection in the Indian Ocean are critically assessed with case studies, followed by recommendations to improve the detection and warning.

Probabilistic estimates show that given the occurrence of a significant earthquake, both Makran and Carlsberg/Chagos regions possess higher probabilities to harbour a tsunami than the Sunda subduction zone. Meanwhile, reliability figures of tsunami buoys have been declined from 79-92 to 68-91 per cent over the past eight years. In addition, a Chagos tsunami is left to be detected by only one tide gauge prior to it reaching Sri Lankan coasts.

The study uses an averaged tsunami speed of 882 km/h based on 2004 Asian tsunami. However, using exact bathymetric data, Tsunamis could be simulated to derive speeds and arrival times more accurately. Yet, such refinements do not change the main derivations and conclusions of this study.

Tsunami detection and warning in the Indian Ocean region have shown room for improvement, based on the inadequate detection levels for Carlesberg and Chagos tsunamis, and inconsistent warnings of regional tsunami service providers. The authors attempted to remedy these drawbacks by proposing a series of suggestions, including a deployment of a new tsunami buoy south of Maldives, revival of offline buoys, real-time tsunami simulations and a strategy to deal with landslide tsunamis, etc.

Indian Ocean is prone to mega tsunamis as witnessed in 2004. However, more than 50 per cent of people in the Indian Ocean rim countries dwell near the coast. This is verified with deaths of 227,898 people in 14 countries during the 2004 tsunami event. Thus, it is of paramount importance that sufficient detection levels are maintained throughout the Indian Ocean without being overly biased towards Sunda tsunamis. With respect to Sri Lanka, Makran, Carlesberg or Chagos tsunamis could directly hit the most populated west coast and bring about far worse repercussions than a Sunda tsunami.

This is the first instance where the threats from Carlesberg and Chagos tsunamis to Sri Lanka are discussed, probabilities of tsunamis are quantified and their detection levels assessed. In addition, reliability levels of tsunami buoys and tide gauges in the Indian Ocean are recomputed after eight years to discover that there is a drop in reliability of the buoy data. The work also proposes a unique approach to handle inconsistencies in the bulletins of regional tsunami service providers, and to uphold and improve dwindling interest on tsunami buoys.

This study aims to explore the dissemination and evolutionary path of online public opinion from a crisis management perspective. By clarifying the influencing factors and dynamic mechanisms of online public opinion dissemination, this study provides insights into attenuating the negative impact of online public opinion and creating a favorable ecological space for online public opinion.

This research employs bibliometric analysis and CiteSpace software to analyze 302 Chinese articles published from 2006 to 2023 in the China National Knowledge Infrastructure (CNKI) database and 276 English articles published from 1994 to 2023 in the Web of Science core set database. Through literature keyword clustering, co-citation analysis and burst terms analysis, this paper summarizes the core scientific research institutions, scholars, hot topics and evolutionary paths of online public opinion crisis management research from both Chinese and international academic communities.

The results show that the study of online public opinion crisis management in China and internationally is centered on the life cycle theory, which integrates knowledge from information, computer and system sciences. Although there are differences in political interaction and stage evolution, the overall evolutionary path is similar, and it develops dynamically in the “benign conflict” between the expansion of the research perspective and the gradual refinement of research granularity.

This study summarizes the research results of online public opinion crisis management from China and the international academic community and identifies current research hotspots and theoretical evolution paths. Future research can focus on deepening the basic theories of public opinion crisis management under the influence of frontier technologies, exploring the subjectivity and emotionality of web users using fine algorithms and promoting the international development of network public opinion crisis management theory through transnational comparison and international cooperation.

The purpose of this paper is to detect the occurrence of anomaly and fault in a spacecraft, investigate various tendencies of telemetry parameters and evaluate the operation state of the spacecraft to monitor the health of the spacecraft.

This paper proposes a data-driven method (empirical mode decomposition-sample entropy-principal component analysis [EMD-SE-PCA]) for monitoring the health of the spacecraft, where EMD is used to decompose telemetry data and obtain the trend items, SE is utilised to calculate the sample entropies of trend items and extract the characteristic data and squared prediction error and statistic contribution rate are analysed using PCA to monitor the health of the spacecraft.

Experimental results indicate that the EMD-SE-PCA method could detect characteristic parameters that appear abnormally before the anomaly or fault occurring, could provide an abnormal early warning time before anomaly or fault appearing and summarise the contribution of each parameter more accurately than other fault detection methods.

The proposed EMD-SE-PCA method has high level of accuracy and efficiency. It can be used in monitoring the health of a spacecraft, detecting the anomaly and fault, avoiding them timely and efficiently. Also, the EMD-SE-PCA method could be further applied for monitoring the health of other equipment (e.g. attitude control and orbit control system) in spacecraft and satellites.

The paper provides a data-driven method EMD-SE-PCA to be applied in the field of practical health monitoring, which could discover the occurrence of anomaly or fault timely and efficiently and is very useful for spacecraft health diagnosis.

There has been a considerable effort over the last decade to increase awareness of the tsunami risk in coastal Washington, USA. However, contemporary research on warning systems spawned by the recent Indian Ocean tsunami tragedy highlights the need for development of an effective tsunami warning system for both residents and transient populations, including visitors and tourists. This study sets out evaluate staff training for emergencies, emergency management exercises (including drills and evacuation), and hazard signage within motels and hotels in Ocean Shores, Washington, USA.

Data were collected from interviews with reception staff and managers at 18 hotels, motels, and other accommodation establishments.

Levels of staff training and preparedness for tsunami and other hazards were found to be generally very low, although examples of “best practice” were found at a select few establishments. Larger hotels already had orientation or general training programmes set up which had the potential to incorporate future tsunami and hazard training, while smaller “owner‐operator” businesses did not.

Suggestions on how to improve preparedness are discussed, including undertaking training needs analyses and conducting workshops, simulations and employee training to empower both businesses and employees.

This case study provides an insight into the challenges faced by emergency managers and the tourism sector in improving the effectiveness of warning systems in areas with high transient populations.

Surveys of the public have been conducted to document and explain evacuation behaviour in a wide range of threatening events during the past half-century. Many of the behaviours are directly applicable to transportation modelling and management: whether people evacuate, when they depart, where they go, the routes they employ and the number of vehicles they use. Data have usually been collected by telephone interview or mailed questionnaires. Traditional survey methods should be supplemented by Internet surveys, traffic counts and GPS tracking. More real-time data collection should be employed to document a wider range of behaviours during a threat more accurately and to better understand the dynamics of evacuation decisions.