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The authors propose a blockchain platform for managing clinical trial data to enhance data validity, integrity, trust and transparency in the pharmaceutical research process. The authors also provide an extensive review of how blockchain technology supports the business processes of clinical trials.

A systematic literature review was conducted to identify the existing applications of blockchain in pharmaceutical process management. A conceptual design for a blockchain infrastructure to address clinical trial challenges is developed by outlining the entire clinical trial value chain and identifying the coordination and communication among its stakeholders. A stakeholder analysis is conducted to ensure that the clinical trial processes satisfy the requirements and preferences of each stakeholder.

The proposed blockchain platform offers a promising solution for enhancing integrity, trust and transparency in the clinical trial process. Additionally, blockchain can help streamline communication and collaboration between stakeholders by enabling multiple parties to access and share data in real time, lowering the possibility of delays or errors in data analysis and reporting.

The proposed blockchain platform can benefit patients by empowering them to have better-controlled access to their data and by allowing researchers to maintain adherence to reporting requirements. Additionally, the platform can benefit granting agencies, researchers and decision-makers by ensuring the integrity of clinical trial data and streamlining communication and collaboration between stakeholders.

This study builds on existing blockchain applications in pharmaceutical process management by developing a blockchain framework that can address clinical trial concerns from an integrated perspective.

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.

This paper seeks to understand kaizen in practice as it travels through time and space in the organisational setting.

A qualitative case study was carried out at a multinational company using mainly interviews for the data collection that were analysed from an actor-network theory (ANT) perspective.

This paper finds that the company deals with a series of paradoxes while managing the kaizen process. Efficiency and quality paradoxes are the basis for starting kaizen projects. Furthermore, intrinsic, and extrinsic motivation, emerge in these processes, and paradoxes relate to how spontaneous ideas emerge in a deliberated context of cost-saving objectives. The supply chain finance team coordinates kaizen projects with the collaboration of plant managers, promoting the paradox of autonomy and control. In addition, as kaizen mobilises and enrols the actors, some trials of strength emerge, showing actors who oppose the kaizen network and create competing networks that mutually exist in the firm.

This study presents valuable insights for professionals to successfully implement kaizen methodologies that take advantage of developing a network for problem-solving in organizations.

This study highlights the supply chain finance team's role in enrolling the actors within a network built by practitioners engaged in kaizen projects. Usually, engineers, quality, or manufacturing teams lead kaizen projects, and only occasionally, accounting and financial teams participate, including multidisciplinary teams.

The Scottish Government hope to pilot judge only rape trials to increase the woefully low rape conviction rates in Scotland. The reasoning is that by removing jurors, the court will be attenuating the role that rape myths and other cognitive and social biases have on conviction rates. However, a plethora of research from cognitive and social psychology, legal literature and decision-making science has shown that experts, including judges and other legal professionals, may be no less biased than laypeople. This paper aims to outline the research highlighting that experts may also be biased, why biases in judges can be elicited, and potential alternative recommendations (i.e. deselecting jurors who score highly on rape myths and providing training/education for jurors). Furthermore, piloting with real judges, in real trials, may not be best practice. Therefore, the authors recommend that any piloting is preceded by experimental research.

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Furthermore, piloting with real judges, in real trials, may not be best practice; therefore, the authors recommend that any piloting is preceded by experimental research.

To the best of the authors’ knowledge, this research is the first of its kind to directly compared the decision-making of jurors and judges within the current Scottish legal context.

This study aims to evaluate and summarize the effectiveness of cognitive behavioral therapy (CBT) and internet-based CBT (ICBT) interventions on relapse prevention and severity of symptoms among individuals with major depressive disorder (MDD). CBT is one of the most used and suggested interventions to manage MDD, whereas ICBT is a novel effective proposed approach.

The review was conducted following the preferred reporting items for systematic review and meta-analysis protocol. A comprehensive and extensive search was performed to identify and evaluate the relevant studies about the effectiveness of CBT and ICBT on relapse prevention and severity of symptoms among patients with MDD.

A total of eight research studies met the inclusion criteria and were included in this systematic review. RCT studies were conducted to assess and evaluate the effectiveness of CBT and ICBT on relapse prevention and severity of symptoms among patients with MDD. It has been found that CBT is a well-supported and evidently based effective psychotherapy for managing depressive symptoms and reducing the relapse and readmission rate among patients diagnosed with MDD. The ICBT demonstrated greater improvements in depressive symptoms during major depressive episodes among patients with MDDS. The ICBT program had good acceptability and satisfaction among participants in different countries.

Despite the significant findings from this systematic review, certain limitations should be acknowledged. First, it is important to note that all the studies included in this review were exclusively conducted in the English language, potentially limiting the generalizability of the findings to non-English speaking populations. Second, the number of research studies incorporated in this systematic review was relatively limited, which may have resulted in a narrower scope of analysis. Finally, a few studies within the selected research had small sample sizes, which could potentially impact the precision and reliability of the overall conclusions drawn from this review. The authors recommend that nurses working in psychiatric units should use CBT interventions with patients with MDD.

This paper, a review of the literature gives an overview of CBT and ICBT interventions to reduce the severity of depressive symptoms and prevent patients’ relapse and rehospitalization and shows that CBT interventions are effective on relapse prevention among patients with MDD. In addition, there is still no standardized protocol to apply the CBT intervention in the scope of reducing the severity of depressive symptoms and preventing depression relapse among patients with major depressive disorder. Further research is needed to confirm the findings of this review. Future research is also needed to find out the most effective form and contents of CBT and ICBT interventions for MDD.

CBT is a psychological intervention that has been recommended by the literature for the treatment of major depressive disorder (MDD). It is a widely recognized and accepted approach that combines cognitive and behavioral techniques to assist individuals overcome their depressive symptoms and improve their overall mental well-being. This would speculate that effectiveness associated with several aspects and combinations of different approaches in CBT interventions and the impact of different delivery models are essential for clinical practice and appropriate selection of the interventional combinations.

This systematic review focuses on the various studies that explore the effectiveness of face-to-face CBT and ICBT in reducing depressive symptoms among patients with major depressive disorder. These studies were conducted in different countries such as Iran, Australia, Pennsylvania and the USA.

This paper establishes a quality model for automation assembly of range hood impeller based on generalized grey relational degree, it improves the debugging efficiency of the newly developed assembly workstation.

First, spot check the trial production impellers and obtain three indexes that reflect the assembly quality of the impellers. Then, analyze the parameters that affect the assembly quality of the impeller using grey relational analysis (GRA), establish a model for the assembly quality of the range hood impeller based on the generalized grey relational degree and identify the main parameters. After that, analyze the transmission structure of automation assembly workstation, identify the reasons that affect parameters and propose improvement plans. Finally, a trial production is conducted on the automation assembly workstation after adopting the improved plan to verify the quality model of impeller automation assembly.

The research shows that compared to manual assembly, the automation assembly quality of the impeller using GRA model has been improved, shortening the debugging cycle of the newly developed assembly workstation.

The newly developed automation equipment will have some problems in the trial production stage, which often rely on the experience of engineers for debugging. In this paper, the automation assembly quality model of range hood impeller based on GRA is established, which can not only ensure the quality of finished impeller but also shorten the debugging cycle of the equipment. In addition, GRA can be widely used in the commissioning of other automation equipment.

This study has developed a set of impeller automation assembly workstation. The debugging method in the trial production stage is beneficial to shorten the trial production time and improve the economic benefits.

The purpose of this paper is to explore and evaluate the current legal position on the admissibility and exclusion of illegally obtained evidence in money laundering cases.

A thorough exploratory analytical analysis signifies that such illegally obtained evidence from money laundering offences is admissible, provided it does not undermine the administration of justice or the right to a fair trial.

By virtue of the lack of written or codified rules governing the admissibility and exclusion of illegally obtained evidence in cases involving money laundering, the rule of admissibility remains the primary foundational principle for the governance of the admissibility and exclusion of illegally obtained evidence in money laundering cases.

The Malaysian Criminal Justice System has historically relied on the long-standing admissibility principles to admit and exclude illegally obtained evidence. For decades, courts have used their discretion to admit illegally obtained evidence based on the relevancy test, and they have further demonstrated to use the same discretion to exclude gravely prejudicial evidence. Evidence obtained illegally but if relevant to the matter in issue is deemed admissible. Evidence derived from an act associated with unlawful activities or a predicate offence in money laundering may be obtained illegally, which may influence the prosecution case and conversely, defend the accused’s rights to a fair trial.

European justice systems are facing a dramatic performance crisis due to the frequent inability to resolve cases without incurring unreasonable delays and backlogs. In this framework, the Italian Judicial system places itself well below the European countries average, in terms of speed of resolution of administrative, civil and criminal trials. The purpose of the paper was to (1) identify factors affecting Italian judicial system efficiency and (2) identify potential actions to manage them, improving judicial system efficiency.

In order to achieve the aims of this paper, a systematic review to map all critical factors discussed in previous studies was performed. Studies were extracted from Google Scholar, Web of Science and SSRN databases. In total, 22 studies were included.

The identified factors of inefficiency of the Italian judicial system have been divided into three macro-classes depending on whether they concern human resource management, the judicial process or whether they pertain to internal or external outside the judicial organization. For each of these, possible strategies have been developed in a new conceptual framework.

The framework seeks to assist policymakers in forming policy measures that can significantly increase court effectiveness. This is the first attempt to review and map all factors affecting judicial system efficiency systematically, providing a new conceptual framework to manage them.