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Southeast Asia has been actively undergoing land conversion into agricultural lands over past few decades. This creates the challenges to the nation in dealing with the non-point source pollutants in many fluvial systems, thus requiring an effective approach in sediment source apportionment for an appropriate target mitigation procedure. The trace element property from different source points was used for catchment classification of Galas River. Sediment sample collection was carried out at the sources and sink areas of the catchment system. Fine sediment was analysed using X-ray fluorescence to obtain elemental composition followed by the statistical test and numerical model. Out of 83 elements, 12 elements (Mn, Ca, Cr, Ga, Dy Hf, Y, V, Th, Pb, Zn and Sr) have been selected as best tracer signatures. The solver model has indicated Pergau River as the major sediment contributor to this large catchment system. The model output could directly be proportional with the land-use practice, indicating excessive terrestrial alteration has taken place within the sites for agricultural plantation purposes. Thus, this highly recommends for the decision-making use to the targeted areas to overcome the serious sedimentation issues caused by the tillage operation in affected stream points and to improve the watershed quality.

Although there have been extensive studies on the hydrological and erosional impacts of logging, relatively little is known about the impacts of conversion into agricultural plantation (namely rubber and oil palm). Furthermore, studies on morphological impacts, sediment-bound chemistry and forensic attribution of deposited sediment to their respective sources are scarcer. This chapter introduces the potential for using the multi-proxy sediment fingerprinting technique in this context. Featuring pilot projects in two major flood-prone river systems in Malaysia, the studies explore application of geochemistry-based sediment source ascription. The geochemical signatures of sediment mixtures on floodplains were compared to sediments from upstream source tributaries. The tributaries were hypothesised to have different geochemical signatures in response to dominant land management. The first case study took place in the Segama River system (4,023 km²) of Sabah, Malaysian Borneo where a mixture of primary forest, logged-forests and oil palm plantations were predominant. The second case study was in the Kelantan River Basin (13,100 km²) with two major tributaries (Galas River and Lebir River) where logged-forests and rubber and oil palm plantations are dominant land-uses. Both case studies demonstrated the applicability of this method in ascribing floodplain deposited sediment to their respective upstream sources. Preliminary results showed that trace elements associated with fertilisers (e.g. copper and vanadium) contribute to agricultural catchment signatures. Alkaline and alkaline-earth elements were linked to recently established oil palm plantations due to soil turnover. Mixing model outputs showed that contributions from smaller, more severely disturbed catchment are higher than those from larger but milder disturbed catchments. This method capitalises on flood events to counter its adverse impacts by identifying high-priority sediment source areas for efficient and effective management.

Purpose: The authors attempt to capture new forensic science students’ pre-conceptions of the field and their assessment of competencies. Methodology: The authors surveyed students at a Historically Black College and University and a Primarily White Institution on their viewership of crime and forensic TV shows and measured their competencies in a range of forensic science skills at the start and end of the semester, along with having students capture errors and evidence from an episode of CSI Las Vegas. Findings: Students who were viewers of crime series with and without prior forensics coursework over evaluated their level of preparedness at the start of the semester, often ranking themselves as moderately or well prepared in blood spatter analysis, fingerprinting, bodily fluid, and hair/fiber collection. Research limitations: The authors relied on a convenience sample of forensic science courses, and their comparison of student learning was disrupted by COVID-19. Originality: The authors examine student concerns with working at crime scenes and reflections on their abilities to succeed in the field. The authors discuss the need for incorporating media literacy, content warnings, and emotional socialization and professional development into forensic science curricula to better equip and prepare students for careers as crime scene investigators and forensic analysts.

Purpose: The purpose of this chapter is to review and critically evaluate robots, artificial intelligence and service automation (RAISA) applications in the restaurant industry to educate professors, graduate students, and industry professionals.

Design/methodology/approach: This chapter is a survey of applications of RAISA in restaurants. The chapter is based on the review of professional and peer-reviewed academic literature, and the industry insight section was prepared based on a 50-minute interview with Mr. Juan Higueros, Chief Operations Officer of Bear Robotics.

Findings: Various case studies presented in this chapter illustrate numerous possibilities for automation: from automating a specific function to complete automation of the front of the house (e.g., Eatsa) or back of the house (e.g., Spyce robotic kitchen). The restaurant industry has already adopted chatbots; voice-activated and biometric technologies; robots as hosts, food runners, chefs, and bartenders; tableside ordering; conveyors; and robotic food delivery.

Practical implications: The chapter presents professors and students with a detailed overview of RAISA in the restaurant industry that will be useful for educational and research purposes. Restaurant owners and managers may also benefit from reading this chapter as they will learn about the current state of technology and opportunities for RAISA implementation.

Originality/value: To the best of the authors’ knowledge, this chapter presents the first systematic and in-depth review of RAISA technologies in the restaurant industry.

Introduction: The ethical implications of deoxyribonucleic acid (DNA) profiling or DNA fingerprinting or forensic genetics in criminal investigations have gained significant attention worldwide. In India, DNA profiling in criminal investigations has increased over the years. However, the ethical considerations of DNA profiling in India have yet to be examined adequately.

Purpose: The study aimed to examine the ethical considerations of DNA profiling in India and compare them with international guidelines. By examining the ethical considerations of DNA profiling in India, this study seeks to contribute to the ongoing discourse on the responsible use of DNA profiling in forensic investigations.

Methodology: The study used a qualitative research design, and data were collected by reviewing relevant literature and laws.

Findings: The findings indicate that the Indian legal framework has gaps in addressing the ethical considerations raised by international guidelines, such as the admissibility of DNA evidence in court, oversight of DNA laboratories, safeguards against discrimination, and privacy and confidentiality protections.

The comparative analysis highlights the need for strengthening the legal framework in India, adopting best practices from international guidelines, and incorporating safeguards to protect against discrimination and ensure the privacy and confidentiality of individuals. By adopting these recommendations, India can ensure that DNA profiling is conducted ethically and responsibly, promoting public trust in the criminal justice system and upholding the rights of all individuals.

The nonconsensual taking or sharing of nude or sexual images, also known as “image-based sexual abuse,” is a major social and legal problem in the digital age. In this chapter, we examine the problem of image-based sexual abuse in the context of digital platform governance. Specifically, we focus on two key governance issues: first, the governance of platforms, including the regulatory frameworks that apply to technology companies; and second, the governance by platforms, focusing on their policies, tools, and practices for responding to image-based sexual abuse. After analyzing the policies and practices of a range of digital platforms, we identify four overarching shortcomings: (1) inconsistent, reductionist, and ambiguous language; (2) a stark gap between the policy and practice of content regulation, including transparency deficits; (3) imperfect technology for detecting abuse; and (4) the responsibilization of users to report and prevent abuse. Drawing on a model of corporate social responsibility (CSR), we argue that until platforms better address these problems, they risk failing victim-survivors of image-based sexual abuse and are implicated in the perpetration of such abuse. We conclude by calling for reasonable and proportionate state-based regulation that can help to better align governance by platforms with CSR-initiatives.

Experts respond to the same incentives as people in other areas of human action, and in the same ways. This insight is a truism: Experts are ordinary people, not otherworld creatures. The disciplined pursuit of this common sense observation helps us to reach conclusions about experts that might be surprising or counterintuitive.