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The role of evidence-based psychological knowledge in cases of juvenile offending is essential to make appropriate decisions relating to youth who violate legal or social norms, as it carries implications for treatment, intervention and practice. Psychological expert opinions therefore need to meet high formal and methodological requirements while maintaining ethical standards. The purpose of this study is to investigate psychological expert opinions in cases of juvenile misbehavior reported to regional courts in Poland. Juvenile court proceedings concern cases of demoralization and/or delinquent offenses. Demoralization is a legal concept described in the Act of June 9, 2022 on juvenile support and resocialization. This concept was not defined; it was only described through examples of behaviors indicating demoralization. These include the following: violations of the principles of community life; evading compulsory education or schooling; use of alcohol, narcotic drugs, psychotropic substances, their precursors, substitutes or new psychoactive substances; and prostitution.

To reach these goals, court records of juvenile cases in six district courts (N = 253) were gathered and analyzed. A semistructured questionnaire was used to examine the cases in which psychologists were appointed and to analyze the procedures used by these experts for assessing adolescents and their families.

Findings revealed that family judges appoint psychologists both in cases of “demoralization” (i.e. status offenses) and in cases of juvenile delinquency. The opinions were delivered by psychologists who were mostly members of diagnostic teams. Results indicate that such opinions generally comply with the minimal standards recommended by the Ministry of Justice, yet a few problems were observed with the determination of levels of demoralization.

The limitations of diagnostic tools used by psychologists are discussed, and recommendations for future practice are provided.

The purpose of this study was to fill the gap in understanding the impact of Drug Recognition Expert (DRE) evidence and testimony in driving under the influence (DUI) trials. This was accomplished by documenting and analyzing the perceptions of DREs and the DRE program across different stakeholders to understand how and when this type of evidence is used in DUI trials.

The methodology is a qualitative case study of the DRE program in one police agency in Washington. Data were collected using semi-structured interviews with criminal justice actors and state-level experts on their perceptions of the DRE program for the agency. Themes were developed from these interviews to analyze their perceptions of the efficacy and utility of DREs in trials.

While the courts in Washington accept DRE evidence in criminal trials, DRE evidence is largely absent in the adjudication process. Participants noted multiple reasons for this, including the lack of trials, the primacy of blood evidence and the expansion of the Advanced Roadside Impaired Driving Enforcement (ARIDE) program.

Although the DRE program has been around for decades, there is a lack of peer-reviewed studies regarding DRE evidence, and no studies regarding how court actors perceive and use DRE evidence. Understanding when and how DRE evidence is utilized in DUI trials can increase its value and utility by prosecutors and the national DRE program.

The purpose of this paper is to discuss the legal barriers to termination of an insurance arrangement where there is suspicion of money laundering when paying insurance premiums.

Trials in court between insurance firm and outlaw biker gangs regarding insurance of their clubhouses.

Protection of insured seems more important than prevention of money laundering.

This is a case study that cannot be generalized.

Anti money laundering is difficult when competing with other considerations.

Accusations of money laundering is not sufficient to terminate an insurance contract. Rather, solid evidence is needed.

This is a real case of failing anti-money laundering efforts.

To come up with a prudent decision on the installation of an appropriate green wall (GW) on buildings, this study presents a novel decision-making algorithm. The proposed algorithm considers the importance of barriers hampering GW adoption, as well as their relationships with regard to different types of GWs existing in a contextual setting.

The proposed methodological approach is based on the integration of qualitative and quantitative techniques by employing focus group discussion, fuzzy-based best-worst method and fuzzy TOPSIS.

Based on the experiences of qualified experts involved in related projects in Hong Kong, the following conclusions are drawn: (1) cost, installation and maintenance-related barriers are perceived to have the highest importance, (2) modular living wall system is the most suitable GW system for the context of Hong Kong and (3) existing barriers are found to have a pivotal role in the ranking of the most suitable GW systems.

The findings provide valuable insight not only for policymakers and stakeholders, but also for establishing a methodological approach that can assist decision-makers in identifying the most beneficial GW system rather than the most applicable one. This could have significant implications and introduce potential changes to the common way of practice within the industry and lay the foundation for wider adoption of GW.

While previous studies have investigated the sustainability-related issues of GW façade applications, the current body of knowledge is deprived of a comprehensive methodological approach for the selection of the most suitable GW systems.

The present study aims to examine the scope and contribution of behavioural investigative advice (BIA) reports from the National Crime Agency (NCA).

The 77 BIA reports reviewed were written between 2016 and 2021. They were evaluated using Toulmin’s (1958) strategy for structuring pertinent arguments, current compliance with professional standards, the grounds and backing provided for the claims made and the potential utility of the recommendations provided.

Consistent with previous research, most of the reports involved murder and sexual offences. The BIA reports met professional standards with extremely high frequency. The 77 reports contained a total of 1,308 claims of which 99% were based on stated grounds. A warrant and/or backing was provided for 73% of the claims. Most of the claims in the BIA reports involved a behavioural evaluation of the crime scene and offender characteristics. The potential utility of the reports was judged to be 95% for informative behavioural crime scene analysis and 40% for potential new lines of enquiry.

The reports should serve as a model for the work of behavioural investigative advisers internationally.

To the best of the authors’ knowledge, this is the first study to systematically evaluate BIA reports commissioned by the NCA; it adds to previous similar studies by evaluating the largest number of BIA reports ever reviewed, and uniquely provides judgement of overall utility.

In the aftermath of the Supreme Court’s 2023 decision to effectively end race-conscious admissions practices across the nation, this paper highlights the law’s commitment to whiteness and antiblackness, invites us to mourn and to connect to possibility.

Drawing from the theoretical contributions of Cheryl Harris, Jarvis Givens and Chezare Warren, as well as the wisdom of Justice Ketanji Brown Jackson’s dissenting opinion, this paper utilizes CRT composite counterstory methodology to illuminate the antiblack reality of facially “race-neutral” admissions.

By manifesting the impossible situation that SFFA and the Supreme Court’s majority seek to normalize, the composite counterstory illuminates how Justice Jackson’s hypothetical enacts a fugitive pedagogy within a dominant legal system committed to whiteness as property; invites us to mourn, to connect to possibility and to remain committed to freedom as an intergenerational project that is inherently humanizing.

In a sobering moment where we face the end of race-conscious admissions, this paper uniquely grapples with the contradictions of affirmative action as minimally effective while also radically disruptive.

The purpose of this paper is to explore the legislative framework that governs whistleblowing in the UAE.

The paper examines social perceptions and practical challenges related to the act of whistleblowing. It focuses on the effectiveness, limitations and implications of the current legal status of whistleblowing in the UAE.

The UAE does not have a unified legal framework that governs whistleblowing and whistleblower protections like in the case of the USA. Therefore, there is an urgent need for comprehensive federal regulations that will apply to all sectors across the entire UAE. Each emirate and economic zone can then model their whistleblowing regulations against the federal law to ensure consistency and uniformity in application. The UAE will also benefit from public awareness and education programs to address the conservative culture that discourages whistleblowing. Most importantly, corporate governance and culture are central to the success of existing laws considering the overreliance on organizations and employees.

The paper provides a robust and analytical discussion of the whistleblowing laws and regulations in the UAE to dissect current practices and implications for future practice.

Completing Right-of-Way (ROW) acquisition process on schedule is critical to avoid delays and cost overruns on transportation projects. However, transportation agencies face challenges in accurately forecasting ROW acquisition timelines in the early stage of projects due to complex nature of acquisition process and limited design information. There is a need of improving accuracy of estimating ROW acquisition duration during the early phase of project development and quantitatively identifying risk factors affecting the duration.

The quantitative research methodology used to develop the forecasting model includes an ensemble algorithm based on decision tree and adaptive boosting techniques. A dataset of Georgia Department of Transportation projects held from 2010 to 2019 is utilized to demonstrate building the forecasting model. Furthermore, sensitivity analysis is performed to identify critical drivers of ROW acquisition durations.

The forecasting model developed in this research achieves a high accuracy to predict ROW durations by explaining 74% of the variance in ROW acquisition durations using project features, which is outperforming single regression tree, multiple linear regression and support vector machine. Moreover, number of parcels, average cost estimation per parcel, length of projects, number of condemnations, number of relocations and type of work are found to be influential factors as drivers of ROW acquisition duration.

This research contributes to the state of knowledge in estimating ROW acquisition timeline through (1) developing a novel machine learning model to accurately estimate ROW acquisition timelines, and (2) identifying drivers (i.e. risk factors) of ROW acquisition durations. The findings of this research will provide transportation agencies with insights on how to improve practices in scheduling ROW acquisition process.

The rising concern for the accuracy of residential valuations in Nigeria has created the need for key stakeholders in the residential property markets in the study areas to know the level of accuracy of valuations in order to make rational residential property transactions, amongst other purposes.

A blend of descriptive and causal designs was adopted for the study. Data were collected via structured questionnaire administered to 179 estate surveying and valuation (ESV) firms in the study areas using census sampling technique. Analytical techniques such as median percentage error (PE), mean and relative importance index (RII) analysis were employed in the analysis of data collected for the study.

The study found that valuation accuracy is greater in the residential property market in Abuja than in Minna, with inappropriate valuation methodology as the most significant cause of valuation inaccuracy.

The practical implication of this study is that a reliable databank should be established for the property market to provide credible transaction data for valuers to conduct accurate valuations in these cities. Strict enforcement of national and international valuation standards by the regulatory authorities as well as retraining of valuers on appropriate application of valuation approaches and methods are the recommended corrective measures.

No study has comparatively examined the accuracy of valuations in two extremely different residential property markets in the country using actual valuation and transaction prices.