Initial Exploration Research Articles

Initial exploration of a novel fusion protein, IL-4/IL-34/IL-10, which promotes cardiac allograft survival mice through alloregulation.

Immune mediated graft loss still represents a major risk to transplant recipients. Creative approaches to immunosuppression that exploit the recipient's own alloregulatory mechanisms could reduce the need for pharmacologic immunosuppression and potentially induce immune tolerance. In the process of studying recipient derived myeloid derived suppressor cells (MDSCs), we identified key alloregulatory MDSC mechanisms, mediated by isolatable proteins IL-4, IL-34, and IL-10. We sought to purify these proteins and fuse them for subsequent infusion into transplant recipients as a means of inducing an alloregulatory response. In this introductory investigation, we leveraged molecular engineering technology to create a fusion protein (FP) of three cytokine coding sequences of IL-4, IL-34, and IL-10 and demonstrated their expressions by Western Blot analysis. Following purification, we tested whether FP IL-4/IL-34/IL-10 (FP1) can protect heart transplant allografts. Injection of FP1 significantly prolonged allogeneic cardiac graft survival in a dose-dependent fashion and the increase of graft survival time exceeded survival attributable to IL-34 alone. In vitro, MDSCs cells were expanded by FP1 treatment. However, FP1 did not directly inhibit T cell proliferation in vitro. In conclusion, newly developed FP1 improves the graft survival in cardiac transplantation mouse model. Significant additional work to optimize FP1 or include other novel proteins could supplement current treatment options for transplant patients.

Analysis of the development course of traditional Chinese medicine standardization and recommendations on future work

This paper systematically reviews the development course of traditional Chinese medicine (TCM) standardization. Based on the characteristics of TCM standardization at different stages, the development course can be divided into 3 stages, namely the “initial development stage” (from the 1980s to the “10th Five-Year Plan” period), the “rapid development stage” (from the “11th Five-Year Plan” period to the “13th Five-Year Plan” period), and the “high-quality development stage” (from the “14th Five-Year Plan” period to the present). The “initial development stage” is characterized by the emergence of awareness regarding TCM standardization, the initial exploration of TCM standardization, and a gradual but slow progress in development. During the “rapid development stage,” relevant government departments began integrating TCM standardization into development plans, resulting in the extensive development of the TCM standard system and its supporting structures. Since the commencement of the “high-quality development stage,” TCM standardization has progressively shifted from a quantity-oriented model to 1 emphasizing quality and efficiency. Overall, TCM standardization has made remarkable progress after more than 40 years of development. However, it still faces various challenges, including unbalanced development in the standard system, the need for improvement in the development quality of group standards, and insufficient levels of promotion and application. It is recommended to further enhance the formulation of national and industry TCM standards, implement relevant management measures, promote the innovative implementation and application of TCM standards, establish an integrated, comprehensive service platform for TCM standards, and strengthen the talent training for TCM standardization.

Wave-impact forces and moments due to random waves on a jacket-type platform for different relative submergence of the deck

Force and moment measurements due to wave impacts were conducted on a jacket platform model under six distinct relative deck submergence conditions. The water depth was carefully chosen to facilitate scenarios ranging from sufficient deck air gaps to partial and complete submergence. For the purpose of our analysis, we focused on peak and average peak wave force and moment values. The study uncovers that the peak wave force towards the shore can escalate to 1.5 times the peak wave force towards the sea. Moreover, the ratio of the peak shoreward force to the average peak shoreward force fluctuates between 3 and 4, contingent upon the relative water level at the deck base and the prevailing wave condition. Remarkably, the peak upward wave force on the deck can reach 5 to 7 times the peak inline wave force. A review of existing guidelines suggests a significant need to enhance research regarding the air gap between the deck and the still water level (SWL), as well as its effect on global and local wave forces and moments on the structures. Our finding establishes that the relative water level from the base of the deck is a crucial parameter in the design process of these structures. This study presents a more in-depth understanding of the physical mechanisms at play by utilizing a realistic jacket platform model. It serves as an initial exploration into the influence of air gap and relative water depth on wave-impact forces and moments. The results obtained from this study shed light on optimal design strategies for jacket-type offshore drilling platforms, considering green water effects. This understanding will enhance the life expectancy and survivability of such platforms.

The Impact of Corporate Social Responsibility on Financial Performance: The Case of Internet-based Enterprises in China

"With the development of the economy and society, enterprises are no longer just profit organizations. They need to meet the demands of people to fulfill their social responsibilities. The development of Corporate Social Responsibility in China has only been more than a decade, and it is still in the initial exploration stage. Most companies initially adopted a wait-and-see attitude towards it. This article will take the perspective of listed internet companies in China and construct a social responsibility evaluation index system to empirically analyze the relationship between social responsibility and financial performance of internet-based companies. It will explore whether the cost of Corporate Social Responsibility will have a negative impact on their economic benefits. Based on this, it will help internet-based companies correctly understand the important position of social responsibility in their management system and enhance their awareness of actively taking social responsibility."

Acupotomy in Korean Medicine Doctors: A Preliminary Survey on Experiences, Perceptions, and Clinical Usage Status.

Acupotomy is a widely used medical intervention in traditional East Asian medicine, and efforts are being made to improve its effectiveness and safety. As a first step toward establishing more standardized procedural guidelines, a survey was conducted to explore the current clinical practice status and perceived adverse events (AEs) by Korean Medicine (KM) practitioners. The survey was developed via expert consensus and included information on clinical usage, perception, and the AEs experienced. The largest acupotomy society in Korea, which consists of 185 KM doctors, participated in an online survey conducted in September 2021. Of the 185 KM doctors, 107 (57.8%) responded. Musculoskeletal and connective tissue diseases accounted for 80.8% of suggested indications by KM doctors. Regarding the detailed procedure, there were considerable discrepancies between KM doctors. The most frequent acupotomy-related AEs observed by KM practitioners were bruises (77.3%), fatigue (57.7%), pain (51.8%), and hematoma (51.8%). Only 1.8% of the respondents answered that they had experienced severe AEs. Survey respondents answered that the use of imaging devices during acupotomy and the development of clinical practice guidelines are the most necessary policy requirements for promoting the use and ensuring the safety of acupotomy. To the best of our knowledge, this study marks the initial exploration into the KM physicians' clinical usage status, AEs experienced, and their requests for standardized guidelines and expanded health insurance coverage concerning acupotomy. Further research should include qualitative studies to assess patient experience and prospective observational studies to examine the effects of operator skills and treatment modalities on AEs and adherence.

Formation of Highly Conductive Interfaces in Crystalline Ionic Liquid-Gated Unipolar MoTe2/h-BN Field-Effect Transistor.

2H MoTe2 (molybdenum ditelluride) has generated significant interest because of its superconducting, nonvolatile memory, and semiconducting of new materials, and it has a large range of electrical properties. The combination of transition metal dichalcogenides (TMDCs) and two dimensional (2D) materials like hexagonal boron nitride (h-BN) in lateral heterostructures offers a unique platform for designing and engineering novel electronic devices. We report the fabrication of highly conductive interfaces in crystalline ionic liquid-gated (ILG) field-effect transistors (FETs) consisting of a few layers of MoTe2/h-BN heterojunctions. In our initial exploration of tellurium-based semiconducting TMDs, we directed our attention to MoTe2 crystals with thicknesses exceeding 12 nm. Our primary focus centered on investigating the transport characteristics and quantitatively assessing the surface interface heterostructure. Our transconductance (gm) measurements indicate that the very efficient carrier modulation with an ILG FET is two times larger than standard back gating, and it demonstrates unipolarity of the device. The ILG FET exhibited highly unipolar p-type behavior with a high on/off ratio, and it significantly increased the mobility in MoTe2/h-BN heterochannels, achieving improvement as one of the highest recorded mobility increments. Specifically, we observed hole and electron mobility values ranging from 345 cm2 V-1 s-1 to 285 cm2 V-1 s-1 at 80 K. We predict that our ability to observe the intrinsic, heterointerface conduction in the channels was due to a drastic reduction of the Schottky barriers, and electrostatic gating is suggested as a method for controlling the phase transitions in the few layers of TMDC FETs. Moreover, the simultaneous structural phase transitions throughout the sample, achieved through electrostatic doping control, presents new opportunities for developing phase change devices using atomically thin membranes.

The characteristic terpenes in sea cucumber soaked in star anise solution were characterized by HS-SPME-GC–MS and PCA analysis

The quality of sea cucumber is closely associated with its processing technology. In this study, the response surface methodology (RSM) was employed to optimize the thermal process conditions for seasoned sea cucumber, while gas chromatography-mass spectrometry (GC–MS) technique identified 25 characteristic compounds. Terpenes and their oxygen derivatives constituted approximately 70% of all compounds detected. Among these, trans-anethole emerged as the predominant volatile aroma compound in seasoned sea cucumber at a concentration of 39.99 ± 4.52 mg/g, followed by p-anisaldehyde, cis-anethole, linalool, estragole, and d-limonene. Principal component analysis (PCA) revealed that trans-anethole, cis-anethole, estragole, and d-limonene collectively contributed over 45.0% to the flavor profile of sea cucumber. This investigation provides an initial exploration into the alterations in volatile compounds within star anise-seasoned seasoned sea cucumber, thereby establishing a foundation for instant sea cucumbers' flavor processing.

Data First: Family courts data - An exploratory analysis of the nature and extent of repeat use of the family courts from 2011 to 2020 in England and Wales

ObjectivesAs people move through the courts and other justice services a wealth of administrative data is created which can provide critical new insights on justice system users, their pathways, and outcomes. Data linkage and widening access can maximise its value for research in the public good and to inform policy.
 MethodData linkage has, for the first time, matched parties involved in family and civil law to criminal justice, enabling cross-cutting research opportunities. This data is available to researchers via Trusted Research Environments and these partnerships can build our capacity to derive policy-relevant findings. The administrative data from the family courts in England and Wales provides a joined-up picture of people involved in family law cases such as public law, private law, adoption, Family Law Act, and divorce. The team have published research showcasing the potential of this data and the presentation will primarily focus on this work.
 ResultsThe family court dataset has enabled, for the first time, the extent and nature of repeat users to be explored at scale for research. This analysis provides better understanding of the stability of outcomes for children where courts make decisions about their care. We have conducted exploratory analysis of which parties in family law cases in 2011 returned over the following decade. The research investigates the frequency of return to court following involvement in different case types and roles, and transitions between case types. Locality-based analysis highlights important insights into varied patterns across England and Wales, which highlights an over-representation of family court users in some case types and roles residing in the most deprived areas in England and Wales compared to the general population.
 ConclusionLinked administrative data can drive new insights into justice system use. Initial exploration has delivered new evidence on family justice that advances our understanding of real-world patterns, but also raises more questions. Collaboration across sectors can ensure this rich resource informs the evidence base for government policy and practice.

Alteration of Neural Network and Hippocampal Slice Activation through Exosomes Derived from 5XFAD Nasal Lavage Fluid.

Exosomes, key mediators of intercellular transmission of pathogenic proteins, such as amyloid-beta and tau, significantly influence the progression and exacerbation of Alzheimer's disease (AD) pathology. Present in a variety of biological fluids, including cerebrospinal fluid, blood, saliva, and nasal lavage fluid (NLF), exosomes underscore their potential as integral mediators of AD pathology. By serving as vehicles for disease-specific molecules, exosomes could unveil valuable insights into disease identification and progression. This study emphasizes the imperative to investigate the impacts of exosomes on neural networks to enhance our comprehension of intracerebral neuronal communication and its implications for neurological disorders like AD. After harvesting exosomes derived from NLF of 5XFAD mice, we utilized a high-density multielectrode array (HD-MEA) system, the novel technology enabling concurrent recordings from thousands of neurons in primary cortical neuron cultures and organotypic hippocampal slices. The ensuing results revealed a surge in neuronal firing rates and disoriented neural connectivity, reflecting the effects provoked by pathological amyloid-beta oligomer treatment. The local field potentials in the exosome-treated hippocampal brain slices also exhibited aberrant rhythmicity, along with an elevated level of current source density. While this research is an initial exploration, it highlights the potential of exosomes in modulating neural networks under AD conditions and endorses the HD-MEA as an efficacious tool for exosome studies.

Determinants of CEO Investment Horizon. A Literature Review

This paper conducts a comprehensive literature review of the factors influencing the emergence of the CEO investment horizon problem – a preference for short-term investments over long-term ones. The root cause of this CEO issue, as in-dicated in existing literature, is often attributed to the CEO's personal risk attitude, shaped by factors like age, tenure, and cultural background.Numerous sources contributing to the short-term investment problem in public companies are described in the current academic literature. Prominent among these determinants are the challenges of quarterly reporting, the association of corporate performance with short-term metrics, market pressures, and the company's specific risk profile. A study by McKinsey & Company, focused on the short horizon problem, demonstrates that companies inclined toward short-term investments exhibit weaker fundamentals and performance. The consulting firm Ernst & Young has introduced the Long-term Orientation Index, offering a basis for cross-country comparison of decision horizons. In 2010, Antia and colleagues introduced a metric for measuring CEO decision horizons, which relies on CEO personal characteristics. Despite these efforts, a comprehensive literature review addressing the specificity of the CEO investment horizon problem and its dis-tinctions from the broader corporate investment horizon problem has been absent.This paper not only investigates the initial empirical exploration of the short investment horizon problem but also raises questions about its cross-country manifestations, its potential correlation with economic crises, and the relevant personal traits of CEOs for its study. Finally, the paper proposes various strategies to mitigate the CEO investment horizon problem within companies.

Using the Recovery Capital Model to Explore Barriers to and Facilitators of Recovery in Individuals with Substance Use Disorder, Psychiatric Comorbidity and Mild-to-Borderline Intellectual Disability: A Case Series.

Recovery capital (RC) encompasses the wide range of resources individuals can employ to recover from Substance Use Disorder (SUD). It consists of five subdomains: human, social, cultural, financial, and community RC. Negative recovery capital (NRC) represents the obstacles to recovery. Research on (N)RC in complex multimorbid populations is scarce. This study offers an initial exploration of the viability of (N)RC in three individuals with SUD, psychiatric comorbidities, and an intellectual disability (a triple diagnosis) in inpatient addiction treatment. We collected case file data, ranked recovery goals, and conducted follow-up interviews. The data were subjected to template analysis, using (N)RC domains as codes. All domains were prevalent and relevant, showing dynamic and reciprocal effects, influenced by critical life events acting as catalysts. Notably, during treatment, patients prioritized individual skill development despite challenges in other domains. RC emerges as a valuable concept for mapping recovery barriers and facilitators in individuals with a triple diagnosis, serving as an alternative to the medical model and complementing the biopsychosocial model. It provides a systematic framework to assess critical factors for recovery in complex cases and accordingly align interventions. Future studies should explore the intersections of NRC domains and the dynamic nature of (N)RC to enhance the understanding of the challenges faced by individuals with a triple diagnosis.

Hybrid path planning based on adaptive visibility graph initialization and edge computing for mobile robots

This paper presents a new initialization method that combines adaptive visibility graphs and the A* algorithm to improve the exploration, accuracy, and computing efficiency of hybrid path planning for mobile robots. First, segments/links in the full visibility graphs are removed randomly in an iterative and adaptive manner, yielding adaptive visibility graphs. Then the A* algorithm is applied to find the shortest paths in these adaptive visibility graphs. Next, high-quality paths featuring low fitness values are chosen to initialize the subsequent heuristic optimization in hybrid path planning. Specifically, in the present study, the genetic algorithm (GA) is implemented on a CPU/GPU edge computing device (Jetson AGX Xavier) to exploit its massively parallel processing threads, and the strategy for judicious CPU/GPU resource utilization is also developed. Numerical experiments are conducted to determine proper hyperparameters and configure GA with balanced performance. Various optimal paths with differential consideration of practical factors for robot path planning are obtained by the proposed method. Compared to the other benchmark methods, ours significantly improves the diversity of initial path and exploration, optimization accuracy, and computing speed (within 5 s with most less than 2 s). Furthermore, real-time experiments are carried out to demonstrate the effectiveness and application of the proposed algorithm on mobile robots.

P09.03.A DEVELOPMENT OF A CORE OUTCOME SET FOR USE IN ADULT PRIMARY GLIOMA PHASE III INTERVENTIONAL TRIALS - A MIXED METHODS STUDY

Abstract BACKGROUND Glioma patients’ high symptom burden and the poor prognosis of high grade glioma has emphasised quality of survival and overall health-related quality of life (HRQOL) throughout the disease trajectory in clinical trials. Patient-reported outcomes (PROs) allow insight into how investigative treatment affects patients’ perceived functioning, complementing other outcome data (e.g. survival, radiological response) in clinical decision-making. Creating robust evidence requires effective data synthesis and meta-analyses across trials, underpinned by consistent trial outcome measurement, analysis and reporting. However, a standard ontology is lacking in cancer clinical trials, and brain tumours specifically, and selective outcome reporting is common. Core outcome set (COS) development is one means to improve data synthesis. The COBra project aimed to develop a COS for use in glioma phase III trials in support of those goals. Given stakeholder interest in PROs and prioritising the patient perspective, we also undertook initial exploration of which items could be patient reportable. MATERIAL AND METHODS A COS for adult primary glioma phase III interventional trials was developed through: (1) trial registry review and systematic review of qualitative studies; (2) interviews with glioma patients and caregivers; (3) outcome list de-duplication; (4) two-round Delphi process and outcome list rating; (5) a consensus meeting to finalise the COS. Patient-reportable COS outcomes were identified by cross-referencing the final COS outcomes with outcomes and PRO measures (PROMs) reported in the trial registry review. Activities were guided by UK Patient and Public Involvement standards and public contributors were core research team members. RESULTS A COS consisting of 19 outcomes grouped into seven outcome domains (Survival, Adverse Events, Activities of Daily Living, HRQOL, Seizure Activity, Cognitive Function and Physical Function) was finalised for use in glioma trials using this structured approach. Mapping PROMs identified in the registry review suggests that sub-domains of 6/7 outcome domains in the final COS can be patient-reported (adverse events, activities of daily living, HRQOL, seizure activity, neurocognitive function, physical function). Other currently unidentified instruments may also be suitable. Further research will identify appropriate measurement tools, promote accessible PRO delivery, and validate this COS for wider use. CONCLUSION A COS for glioma trials was developed, comprising seven outcome domains. Development of this COS coincides with growing regulatory interest in patient-reported data. To optimise data synthesis and prioritise the patient perspective, opportunities to collect data in this way should be promoted and taken. As such, this COS could be considered for use in registrational trials after further validation.

Systematic review of topical interventions for the management of pain in chronic wounds.

Chronic wounds adversely affect quality of life. Pain is associated with chronic wounds, and its impact can vary according to wound aetiology, condition, and patient factors. This systematic review examined the effectiveness of topical interventions in the management chronic wound-related pain guided by PRISMA recommendations of randomised controlled trials (RCTs) where pain reduction is the primary outcome. Inclusion criteria were adults (older than 18 years) with chronic venous, arterial, diabetic, or pressure ulcers where pain has been managed through topical administration of pharmacological/nonpharmacological agents. Searches were conducted in Ovid Embase, Ovid MEDLINE, EBSCOhost, CINAHL, CENTRAL, PubMed, Web of Science, and Scopus. Studies were screened for eligibility; risk of bias and data were extracted by 2 independent assessors. Searches retrieved 10,327 titles and abstracts (7760 after deduplication). Nine full texts (1323 participants) examining ibuprofen (n = 4), morphine (n = 2), BWD + PHMB [polihexanide-containing biocellulose wound dressing] (n = 1), and EMLA (n = 2) were included. Risk of bias was assessed using the Cochrane Risk of Bias 2 tool. Meta-analysis was not possible, but initial exploration suggests improved outcomes (reduced pain) for ibuprofen when compared with controls. Two studies involving morphine showed conflicting findings. Included studies often had small samples, and considering confounding factors (eg, comorbidities), the results should be interpreted with caution. Review of included studies suggests that topical interventions may provide pain relief in individuals with chronic wounds. Further adequately powered RCTs are recommended to assess the efficacy of topical interventions for the management of chronic wound-related pain.

Progress and Prospective in the Development of Stored Grain Ecosystems in China: From Composition, Structure, and Smart Construction to Wisdom Methodology

Food security is intrinsically linked to maintaining optimal physical health and promoting active lifestyles. Stored Grain Ecosystems (SGEs) are complex systems comprising a range of grains, microorganisms, and environmental elements. To ensure sustainable grain storage and promote food-friendly SGEs, careful regulation and monitoring of these factors are vital. This review traces the evolution of the Eco-concept of stored grain in China, focusing on micro- and macro-structural composition, the Multi-field/Re-coupling structure, and Smart Construction of SGEs, while introducing the four development lines and Wisdom Methodology of SGEs. The current status and challenges of SGEs in China are also discussed. The Eco-concept of stored grain in China has progressed through the initial exploration period, formation and practice periods, and has now entered its fourth stage, marked by a shift to include interactions of multiple biological fields. This evolution extends beyond the traditional binary relationship and offers emerging technologies greater scope for scientific and intelligent theoretical analysis of grain storage practices. The Wisdom Methodology employs a multifaceted, Mechanism and Data-driven approach, incorporating four driving methods, and is now widely recognized as a leading strategy for researching Smart Grain Systems. Digital Twin technology enables precise simulations and mappings of real-world SGEs in a virtual environment, supporting accurate assessments and early warnings for issues concerning grain conditions. Driven by Mechanism and Data, Digital Twin solutions are a pioneering trend and emerging hotspot with vast potential for enhancing the intelligence and wisdom of future grain storage processes. Overall, this review provides valuable guidance to practitioners for advancing high-quality Smart Grain Systems, enhancing sustainable and intelligent grain storage practices.

The Tourism Area Life Cycle Concept in Identifying the Characteristics of the Alas Purwo Banyuwangi National Park

Purpose: This research aims to comprehensively understand, evaluate, and categorize the life cycle of tourism areas. Method: Employing a descriptive-qualitative approach, this study conducted interviews with multiple managers and engaged in direct observations. Through both primary and secondary data collection methods, the distinctive features of the Tourism Area Life Cycle (TALC) were identified and categorized. Results: The findings reveal that rejuvenation is essential for all eight components of the tourism area life cycle within Alas Purwo National Park. These TALC components exert a significant influence on the developmental stage of the park. The research presents a range of opportunities and challenges in managing tourist attractions within the park. These challenges present opportunities for managing attractions more effectively. Strategies for expansion involve the addition of artificial attractions and enhancements to facilities. A focal point in the development of Alas Purwo National Park is the engagement of the local community and visitors, facilitated by raising their awareness of sustainable tourism practices. Contribution: This article serves as a valuable resource for information, reference, and initial exploration, thus enriching the broader community's comprehension of the life cycle within Alas Purwo National Park. Furthermore, it offers insights into the behaviors and awareness of tourists. It provides managerial assistance in categorizing the distinct characteristics of tourism within the park.

931 Minimising Surgical Inpatient Bed Use and Maximising Patient Flow in Plastic Surgery: Proposal for Combined Acute Trauma Clinic with Attached Local Anaesthetic Theatre and Ambulatory Care with IV Therapy Service

Abstract Background The majority of hand trauma referrals to plastic surgery consist of minor injuries that ideally require initial washout and exploration under local anaesthetic, during which repair of most damaged structures can also be undertaken. Meanwhile, a significant proportion of acute admissions to plastic surgery are for infected wounds requiring washout, intravenous antibiotics, limb elevation, and daily wound review to ensure resolution. These occupy surgical beds of often-limited capacity, and confine otherwise generally mobile, independent patients. Literature Trauma clinics are well-established, often being utilised as see-and-treat services (Rea-et-al 2004), reducing the wait for a potentially unpredictable main trauma theatre, with proven cost benefit (Cullen-et-al 2021). This is further aided by patient counselling regarding waiting times for surgery (Khan & Iqbal 2021), and the model has been augmented to incorporate virtual reviews (Westley-et-al 2020). Infected wounds amenable to local anaesthetic or wide-awake-local-anaesthetic-no-tourniquet (Lalonde 2015) could similarly be managed in this environment, but may necessitate admission for intravenous antibiotics, nevertheless. However, soft-tissue infections are increasingly being managed in outpatient settings through using single/twice-daily dosed antibiotics with daily review (Ektare et al 2015). Proposal An ideal configuration would therefore consist of a trauma clinic space with assessment bays, local anaesthetic minor theatre, and IV infusion chair(s), staffed by a receptionist, an assessing doctor/nurse practitioner, an operating surgeon with scrub nurse/trained healthcare assistant, and an IV-trained nurse. Conclusions We believe that this cost-effective setup would ensure patients receive timely adequate care for acute limb trauma and infections while reducing inpatient presence and improving efficiency.

When things go wrong: the recall of AI systems as a last resort for ethical and lawful AI

AbstractThis paper presents an initial exploration of the concept of AI system recall, primarily understood as a last resort when AI systems violate ethical norms, societal expectations, or legal obligations. The discussion is spurred by recent incidents involving notable AI systems, demonstrating that AI recalls can be a very real necessity. This study delves into the concept of product recall as traditionally understood in industry and explores its potential application to AI systems. Our analysis of this concept is centered around two prominent categories of recall drivers in the AI domain: ethical-social and legal considerations. In terms of ethical-social drivers, we apply the innovative notion of “moral Operational Design Domain”, suggesting AI systems should be recalled when they violate ethical principles and societal expectation. In addition, we also explore the recall of AI systems from a legal perspective, where the recently proposed AI Act provides regulatory measures for recalling AI systems that pose risks to health, safety, and fundamental rights. The paper also underscores the need for further research, especially around defining precise ethical and societal triggers for AI recalls, creating an efficient recall management framework for organizations, and reassessing the fit of traditional product recall models for AI systems within the AI Act's regulatory context. By probing these complex intersections between AI, ethics, and regulation, this work aims to contribute to the development of robust and responsible AI systems while maintaining readiness for failure scenarios.

"Collapsing into Darkness": An Exploratory Qualitative Thematic Analysis of the Experience of Workplace Reintegration among Nurses with Operational Stress Injuries.

Nurses are engaged in an unpredictable and dynamic work environment where they are exposed to events that may cause or contribute to physical and/or psychological injuries. Operational stress injury (OSI) may lead to an extended time away from work or nurses leaving the profession altogether. A deliberate focus on the workplace reintegration phase of the mental health recovery process may lead to the increased retention of nurses in their profession. Prior to the creation and implementation of potential solutions to address workplace reintegration, it is imperative to explore the experiences and perceptions of nurses affected by OSI. This qualitative study aims to investigate the experiences and perceptions of nurses (N = 7) employed within a Canadian provincial healthcare system who have attempted workplace reintegration after being off of work with an OSI. Nurses were recruited via social media, unit emails, and word of mouth. Data were collected through recorded semi-structured interviews conducted over videoconferencing. Once transcribed, the data were thematically analyzed using an inductive approach. The resulting themes included (1) heroes to zeros, (2) changing the status quo, (3) connection is key, and (4) post-traumatic growth: advocacy and altruism. Study participants indicated both that nursing culture and a cumulation of events contributed to a need for a leave of absence from work and that a formalized process was desired by nurses to assist in returning to work. The development, implementation, and exploration of innovative policies, procedures, and initiatives to bridge the gap from clinical interventions to workplace reintegration are needed for nurses experiencing OSI. Further research is also needed regarding mental health impacts and appropriate resources to support nurses in their workplace reintegration process after experiencing psychological and/or physical injury.

Transformer Decoder-Based Enhanced Exploration Method to Alleviate Initial Exploration Problems in Reinforcement Learning.

In reinforcement learning, the epsilon (ε)-greedy strategy is commonly employed as an exploration technique This method, however, leads to extensive initial exploration and prolonged learning periods. Existing approaches to mitigate this issue involve constraining the exploration range using expert data or utilizing pretrained models. Nevertheless, these methods do not effectively reduce the initial exploration range, as the exploration by the agent is limited to states adjacent to those included in the expert data. This paper proposes a method to reduce the initial exploration range in reinforcement learning through a pretrained transformer decoder on expert data. The proposed method involves pretraining a transformer decoder with massive expert data to guide the agent's actions during the early learning stages. After achieving a certain learning threshold, the actions are determined using the epsilon-greedy strategy. An experiment was conducted in the basketball game FreeStyle1 to compare the proposed method with the traditional Deep Q-Network (DQN) using the epsilon-greedy strategy. The results indicated that the proposed method yielded approximately 2.5 times the average reward and a 26% higher win rate, proving its enhanced performance in reducing exploration range and optimizing learning times. This innovative method presents a significant improvement over traditional exploration techniques in reinforcement learning.