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Urban areas' performance in water, energy, infrastructure, and socio-economic sectors is intertwined and measurable through Sustainable Development Goals (SDGs) 6-13. Effective synergy among these is critical for sustainability. This study constructs an indicator framework that reflects progress towards these urban SDGs in China. Findings indicate underperformance in SDGs 8-11, suggesting the need for transformative actions. Through network analysis, the research reveals complementarities among these SDGs. Notably, the SDG space divides into socio-economic and ecological clusters, with SDG 6 (Clean Water and Sanitation) central to both. Additionally, SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure) act as bridges, while greater synergies exist between SDG 12 (Responsible Consumption and Production) and SDG 13 (Climate Action). An in-depth view at the indicator-level shows a core-periphery structure, emphasizing indicators like SDG 6.2 (Wastewater Treatment Rate) and SDG 6.6 (Recycled Water Production Capacity per capita) as pivotal. This study confirms the urban SDG space's stability and predictiveness, underscoring its value in steering well-aligned policy decisions for sustainable growth.

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Medical decisions about pediatric gastroenterology pathologies often involve collaboration between the medical team and the family. On occasions, conflict may arise between the individuals involved in decision making (team-family conflict) causing delays in managing a child's health condition. Little is known on the strategies that can be implemented to address such conflicts. Using the systematic review model by McCullough et al., an electronic literature search was conducted using PUBMED databases and SCOPUS. Studies published between 2001 and 2022 were analyzed to identify high-risk families, the barriers and facilitators involved in the team-family conflict and the circumstances in which healthcare professionals can be ethically justified to override parents' medical decisions and to trigger the state intervention. The present review provides recommendations on the more suitable ways to manage team-family conflict and gives a practical approach using a case vignette.

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Solar photovoltaic (PV) projects are pivotal in addressing climate change and fostering a sustainable energy future. However, the complex landscape of renewable energy investments, characterized by high upfront costs, market uncertainties, and evolving technologies, demands innovative evaluation methods. The Real Options Approach has emerged as a powerful tool, offering strategic flexibility in decision-making under uncertainty. This paper comprehensively analyzes the application of real options for evaluating solar photovoltaic projects in 2008-2023. Analysis of document descriptors (author keywords, index keywords, and noun phrases extracted from titles and abstracts) reveals that the dominant research topics in the last ten years (2014-2023) include investment optimization, strategic analysis, energy policy, optimization of energy generation and investments in wind energy. These descriptors are used to analyze the evolution of research interests on a two-year basis and reveal the yearly evolution of the research topics. Finally, the concept of emergence is used to unveil emerging research trends, providing valuable insights for researchers and practitioners in the renewable energy sector. Ultimately, this work contributes to a deeper understanding of how real options analysis empowers decision-makers to make informed choices in advancing clean and sustainable energy solutions.

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BACKGROUND: French laws governing end-of-life medical practices forbid euthanasia and affirm patients' right to deep and continuous sedation until death. Cultural traditions and disparities in health care provision, as in overseas France, could limit the enforcement of such laws and modify end-of-life medical practices. AIM: This research aims to describe end-of-life medical decisions in overseas France and to compare with those described in mainland France. METHODS: A retrospective study of a random sample of adult patients who died between March 2020 and February 2021 was conducted in four overseas French departments. Physicians who certified the deaths were asked to describe end-of-life care and medical decisions in a questionnaire. RESULTS: A total of 1815 deaths were analysed over 8730 questionnaires sent. Withholding treatments was the most frequent decision (41%), treatment for pain or symptoms was intensified for a third of patients, Deep and continuous sedation until death was implemented in 13.3% cases. The use of drugs to deliberately end life was mentioned in 1.3% deaths. At least one decision was made in 61.6% deaths. More decisions that may hasten death were made before predictable deaths. Intensification of pain and symptoms treatment was more frequent in 2022 than in 2010. Deep and continuous sedation was introduced by law in 2016 without prejudice to other decisions. CONCLUSION: Physicians in overseas France have implemented recent changes in end-of-life laws, including deep and continuous sedation. Comparisons with 2010 mainland France survey show a better implementation of palliative medicine in 2022, with higher proportions of treatment withholding.

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Which opponent player to sequentially serve to in beach volleyball is crucial given the advantage of the attacking team. The sequential choice theory was tested in three studies by analyzing allocation strategies based on the hot hand belief. Study 1 showed strong belief in the hot hand of national coaches. In Study 2, we analyzed Tokyo Olympics data to explore how base rates and sequential selection rates varied in an elite sample. When base rates of players differed by 0.25, low-performing players were frequently selected. In an experiment with elite athletes, Study 3A demonstrated accurate base-rate-difference recognition but low base-rate-change recognition. Study 3B found that the hot hand is believed to be important but is not often detected. We conclude that players and coaches follow predictions of the sequential choice theory and believe in the hot hand, but do not have a shared understanding of how to use it.

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PURPOSE: The aim of this study was to assess whether coaching doctors to enhance ethical decision-making in teams improves (1) goal-oriented care operationalized via written do-not-intubate and do-not attempt cardiopulmonary resuscitation (DNI-DNACPR) orders in adult patients potentially receiving excessive treatment (PET) during their first hospital stay and (2) the quality of the ethical climate. METHODS: We carried out a stepped-wedge cluster randomized controlled trial in the medical intensive care unit (ICU) and 9 referring internal medicine departments of Ghent University Hospital between February 2022 and February 2023. Doctors and nurses in charge of hospitalized patients filled out the ethical decision-making climate questionnaire (ethical decision-making climate questionnaire, EDMCQ) before and after the study, and anonymously identified PET via an electronic alert during the entire study period. All departments were randomly assigned to a 4-month coaching. At least one month of coaching was compared to less than one month coaching and usual care. The first primary endpoint was the incidence of written DNI-DNACPR decisions. The second primary endpoint was the EDMCQ before and after the study period. Because clinicians identified less PET than required to detect a difference in written DNI-DNACPR decisions, a post-hoc analysis on the overall population was performed. To reduce type I errors, we further restricted the analysis to one of our predefined secondary endpoints (mortality up to 1 year). RESULTS: Of the 442 and 423 clinicians working before and after the study period, respectively 270 (61%) and 261 (61.7%) filled out the EDMCQ. Fifty of the 93 (53.7%) doctors participated in the coaching for a mean (standard deviation [SD]) of 4.36 (2.55) sessions. Of the 7254 patients, 125 (1.7%) were identified as PET, with 16 missing outcome data. Twenty-six of the PET and 624 of the overall population already had a written DNI-DNACPR decision at study entry, resulting in 83 and 6614 patients who were included in the main and post hoc analysis, respectively. The estimated incidence of written DNI-DNACPR decisions in the intervention vs. control arm was, respectively, 29.7% vs. 19.6% (odds ratio 4.24, 95% confidence interval 4.21-4.27; P < 0.001) in PET and 3.4% vs. 1.9% (1.65, 1.12-2.43; P = 0.011) in the overall study population. The estimated mortality at one year was respectively 85% vs. 83.7% (hazard ratio 2.76, 1.26-6.04; P = 0.011) and 14.5% vs. 15.1% (0.89, 0.72-1.09; P = 0.251). The mean difference in EDMCQ before and after the study period was 0.02 points (- 0.18 to 0.23; P = 0.815). CONCLUSION: This study suggests that coaching doctors regarding ethical decision-making in teams safely improves goal-oriented care operationalized via written DNI-DNACPR decisions in hospitalized patients, however without concomitantly improving the quality of the ethical climate.

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Psychiatry shares most ethical issues with other branches of medicine, but also faces special challenges. The Code of Ethics of the World Psychiatric Association offers guidance, but many mental health care professionals are unaware of it and the principles it supports. Furthermore, following codes of ethics is not always sufficient to address ethical dilemmas arising from possible clashes among their principles, and from continuing changes in knowledge, culture, attitudes, and socio-economic context. In this paper, we identify topics that pose difficult ethical challenges in contemporary psychiatry; that may have a significant impact on clinical practice, education and research activities; and that may require revision of the profession's codes of ethics. These include: the relationships between human rights and mental health care, research and training; human rights and mental health legislation; digital psychiatry; early intervention in psychiatry; end-of-life decisions by people with mental health conditions; conflicts of interests in clinical practice, training and research; and the role of people with lived experience and family/informal supporters in shaping the agenda of mental health care, policy, research and training. For each topic, we highlight the ethical concerns, suggest strategies to address them, call attention to the risks that these strategies entail, and highlight the gaps to be narrowed by further research. We conclude that, in order to effectively address current ethical challenges in psychiatry, we need to rethink policies, services, training, attitudes, research methods and codes of ethics, with the concurrent input of a range of stakeholders, open minded discussions, new models of care, and an adequate organizational capacity to roll-out the implementation across routine clinical care contexts, training and research.

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Vaccine hesitancy is considered one of the biggest global health threats. The prevalence of false information about vaccines on social media amplifies this challenge, making it more urgent. This study examines the relationship between social media use, trust in information sources, beliefs about vaccination rates, and willingness to adopt vaccines using data gathered in late 2023 from 975 respondents in South Africa. Our results suggest that people who rely on social media as their primary news source are more hesitant to get vaccinated for themselves and their children. Trust, which includes various sources including confidence in the government, is positively linked to vaccination decisions. Trust is especially important when it comes to less traditional vaccines such as COVID-19 and flu vaccines for both adults and children. We also note gender differences, with South African men showing more reluctance to get vaccinated as adults. Additionally, there is a negative correlation between social media use and the willingness of males to get vaccinated, but this relationship is not evident among females. Our research highlights the need for targeted interventions aimed at improving vaccine uptake, taking into account the links with information sources about vaccination and government trust.

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BACKGROUND: GPs are often required to make decisions about the management of acute illness in people living with dementia. These decisions are often complex and involve multiple informants. AIM: We aimed to explore how GPs made decisions about acute illness in people with dementia using a micropolitics approach. DESIGN & SETTING: Qualitative, semi-structured interviews with 13 GPs with a range of years of experience working in South Yorkshire, UK. METHOD: Interviews were conducted by phone. Interviews focused on GPs' accounts to reflect their own perceptions and choices as portrayed to the interviewer. The analysis used the lens of micro-politics in the analysis and interpretation of the themes, with a focus on decisions between GP, patient, family and carers, other health and social care providers about the management of acute illness in a person with dementia. RESULTS: The results showed that GPs act as street-level bureaucrats while carrying out their role, using discretion during decision-making in an environment characterised by uncertainties and work pressures. In addition, GPs use the "soft power" skills of diplomacy such as negotiation, persuasion and engagement in navigating through difficult decision-making situations, while building relationships and partnerships with various actors in the health system. CONCLUSION: GPs possess and express power and influence decision-making in people living with dementia when navigating biomedical, social, economic and psychological factors. This power comes in the form of soft power (street level diplomacy) and the more formal power of street level bureaucracy.

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Hepatocellular carcinoma (HCC) is a common liver malignancy and represents a serious cause of cancer-related mortality and morbidity. One of the favourable curative surgical therapeutic options for HCC is liver transplantation (LT) in selected patients fulfilling the known standard Milan/University of California San Francisco criteria which have shown better outcomes and longer-term survival. Despite careful adherence to the strict HCC selection criteria for LT in different transplant centres, the recurrence rate still occurs which could negatively affect HCC patients' survival. Hence HCC recurrence post-LT could predict patients' survival and prognosis, depending on the exact timing of recurrence after LT (early or late), and whether intra/extrahepatic HCC recurrence. Several factors may aid in such a complication, particularly tumour-related criteria including larger sizes, higher grades or poor tumour differentiation, microvascular invasion, and elevated serum alpha-fetoprotein. Therefore, managing such cases is challenging, different therapeutic options have been proposed, including curative surgical and ablative treatments that have shown better outcomes, compared to the palliative locoregional and systemic therapies, which may be helpful in those with unresectable tumour burden. To handle all these issues in our review.

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Shared appraisals and collaboration within couples play important roles in optimizing health. Less is known about concordance regarding collaboration, factors associated with concordance, and implications for health. Data from 2,761 couples from the Health and Retirement Study (2014/2016 and 2016/2018 waves) were examined to determine within-couple concordance in completion of two tasks (family decisions and medical forms). The majority of couples were concordant regarding who makes family decisions (69.7%) and who completes medical forms (64.4%); 62% agreed they make family decisions collaboratively versus 25.5% completing medical forms collaboratively. Concordance was significantly associated with greater marital support and longer marital duration. Concordance was not significantly associated with depressive symptoms 2 years later, but the link between concordance in making major family decisions and self-rated health differed by age and gender. Future research at the intersection of concordance and collaboration may shed important light on how older couples navigate tasks and decisions.

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For many problems in clinical practice, multiple treatment alternatives are available. Given data from a randomized controlled trial or an observational study, an important challenge is to estimate an optimal decision rule that specifies for each client the most effective treatment alternative, given his or her pattern of pretreatment characteristics. In the present paper we will look for such a rule within the insightful family of classification trees. Unfortunately, however, there is dearth of readily accessible software tools for optimal decision tree estimation in the case of more than two treatment alternatives. Moreover, this primary tree estimation problem is also cursed with two secondary problems: a structural missingness in typical studies on treatment evaluation (because every individual is assigned to a single treatment alternative only), and a major issue of replicability. In this paper we propose solutions for both the primary and the secondary problems at stake. We evaluate the proposed solution in a simulation study, and illustrate with an application on the search for an optimal tree-based treatment regime in a randomized controlled trial on K = 3 different types of aftercare for younger women with early-stage breast cancer. We conclude by arguing that the proposed solutions may have relevance for several other classification problems inside and outside the domain of optimal treatment assignment.

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Point-of-Care-Testing (PoCT) has emerged as an essential component of modern healthcare, providing rapid, low-cost, and simple diagnostic options. The integration of Machine Learning (ML) into biosensors has ushered in a new era of innovation in the field of PoCT. This article investigates the numerous uses and transformational possibilities of ML in improving biosensors for PoCT. ML algorithms, which are capable of processing and interpreting complicated biological data, have transformed the accuracy, sensitivity, and speed of diagnostic procedures in a variety of healthcare contexts. This review explores the multifaceted applications of ML models, including classification and regression, displaying how they contribute to improving the diagnostic capabilities of biosensors. The roles of ML-assisted electrochemical sensors, lab-on-a-chip sensors, electrochemiluminescence/chemiluminescence sensors, colorimetric sensors, and wearable sensors in diagnosis are explained in detail. Given the increasingly important role of ML in biosensors for PoCT, this study serves as a valuable reference for researchers, clinicians, and policymakers interested in understanding the emerging landscape of ML in point-of-care diagnostics.

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OBJECTIVES: This study quantified the public value (PV) of the criteria and sub-criteria in the current drug reimbursement systems in South Korea and examined sociodemographic factors that associated with PV. METHODS: The Analytic Hierarchy Process (AHP) was used to quantify the PVs of criteria and sub-criteria. We developed a questionnaire to generate pairwise comparison matrices among criteria and sub-criteria. From 27 March to 1 April 2023, we recruited 1,000 study participants using a quota sampling method stratified by age, sex, and region based on Korean census data. RESULTS: The PVs for the criteria were highest for clinical usefulness (28.5%), followed by cost-effectiveness (27.1%), budget impact (24.3%), and reimbursement in other countries (20.1%). The sociodemographic characteristics of the participants had a significant impact on the PVs of the criteria. Willingness to pay additional premiums for national health insurance was negatively associated with PV for clinical usefulness and cost-effectiveness and positively associated with PV for reimbursement in other countries. CONCLUSIONS: The public prioritized clinical usefulness and cost-effectiveness as the main criteria. However, the PVs of the criteria were divergent and associated with sociodemographic factors. Divergent public interests require an evidence-informed deliberative process for reimbursement decisions.

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With the ever-growing accessibility of case law online, it has become challenging to manually identify case law relevant to one's legal issue. In the Netherlands, the planned increase in the online publication of case law is expected to exacerbate this challenge. In this paper, we tried to predict whether court decisions are cited by other courts or not after being published, thus in a way distinguishing between more and less authoritative cases. This type of system may be used to process the large amounts of available data by filtering out large quantities of non-authoritative decisions, thus helping legal practitioners and scholars to find relevant decisions more easily, and drastically reducing the time spent on preparation and analysis. For the Dutch Supreme Court, the match between our prediction and the actual data was relatively strong (with a Matthews Correlation Coefficient of 0.60). Our results were less successful for the Council of State and the district courts (MCC scores of 0.26 and 0.17, relatively). We also attempted to identify the most informative characteristics of a decision. We found that a completely explainable model, consisting only of handcrafted metadata features, performs almost as well as a less well-explainable system based on all text of the decision.

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OBJECTIVE: The study aimed to assess outcomes in patients undergoing liver biopsy for metastatic cancer, focusing on mortality rates and chemotherapy following their biopsy. METHODS: Hospital Episode Statistics data from 2010 to 2019 identified 30 992 patients with metastatic cancer who underwent percutaneous liver biopsy. Primary outcomes included 14-day and 30-day mortality rates, as well as the proportion receiving chemotherapy within 6 months. RESULTS: 30 992 patients were studied (median age of 69 (IQR 59-74) years, 52% female). 28% underwent inpatient biopsy with 8% dying within 14 days and 26% within 30 days. Outpatient biopsies had lower mortality rates: 2.2% at 14 days and 8.6% at 30 days.30-day mortality was associated with: inpatient biopsy (OR 3.5 (95% CI 3.26 to 3.76)) and increasing comorbidity (Charlson score 1-4: 1.21 (95% CI 1.11 to 1.32)); but negatively with all ages under 70 (eg, for 18-29 years 0.35 (95% CI 0.20 to 0.63)) and biopsy at a radiotherapy centre (0.88 (95% CI 0.82 to 0.95)).46% of patients received chemotherapy within 6 months of biopsy (53% with outpatient biopsies but only 33% with inpatient biopsies). Receiving chemotherapy was associated with: all ages under 70 (eg, 18-29 years 3.3 (95% CI 2.62 to 5.30)), female sex (1.06 (95% CI 1.01 to 1.11)) and medium (1.13 (95% CI 1.04 to 1.22) and high (1.49 (95% CI 1.38 to 1.62)) volume liver biopsy providers; but negatively with inpatient biopsy (0.45 (95% CI 0.43 to 0.48)) and increasing comorbidity (Charlson score 1-4: 0.85 (95% CI 0.79 to 0.91)). CONCLUSIONS: Mortality rates following liver biopsy for metastatic cancer are notably higher among patients undergoing emergency inpatient procedures. Clinicians should carefully weigh the risks and benefits of biopsy in elderly, comorbid or poor performance status patients. Multidisciplinary approaches involving palliative care may aid in decision-making for these patients.

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When monitoring an animal's welfare, it helps to have comprehensive and day-to-day information about the animal's life. The goal is to ensure that animal guardians (carers, keepers, and owners) use such information to act in the animals' best interests. This article introduces the Mellorater, an animal welfare monitoring app based on the 2020 Five Domains Model. This framework provides a means of capturing comprehensive information about the world in which individual animals exist. The Mellorater asks animal guardians to rate their agreement with 18 statements covering any focal animal's nutrition, environment, health, and behavioural interactions using a five-point Likert scale. No specialist training is required other than following straightforward instructions on using the app, which are provided. The Mellorater is not proposed as a validated welfare auditing tool because it relies on reflective self-reporting and, thus, is vulnerable to the user's subjectivity. If users' subjectivity is stable over time, then the longitudinal data may be considered useful proxies for trends in quality of life. That said, it has the potential to be used by trained auditors if scientifically validated, species-specific indicators are applied. The Mellorater collects anonymous data and has been approved for a study to explore how the use of such scales may differ among guardians of different species and in different contexts. In this paper, we conduct the following: (1) summarise the app's purposes; (2) clarify its capabilities and limitations; and (3) invite animal welfare scholars, veterinarians, health and welfare professionals, and animal guardians to use it.

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The objective of this study was to make informed decisions regarding the design of wearable electroencephalography (wearable EEG) for the detection of motor imagery movements based on testing the critical features for the development of wearable EEG. Three datasets were utilized to determine the optimal acquisition frequency. The brain zones implicated in motor imagery movement were analyzed, with the aim of improving wearable-EEG comfort and portability. Two detection algorithms with different configurations were implemented. The detection output was classified using a tool with various classifiers. The results were categorized into three groups to discern differences between general hand movements and no movement; specific movements and no movement; and specific movements and other specific movements (between five different finger movements and no movement). Testing was conducted on the sampling frequencies, trials, number of electrodes, algorithms, and their parameters. The preferred algorithm was determined to be the FastICACorr algorithm with 20 components. The optimal sampling frequency is 1 kHz to avoid adding excessive noise and to ensure efficient handling. Twenty trials are deemed sufficient for training, and the number of electrodes will range from one to three, depending on the wearable EEG's ability to handle the algorithm parameters with good performance.

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BACKGROUND: With recent advancements in the treatment of chronic lymphocytic leukemia (CLL) and mantle cell lymphoma (MCL), healthcare specialists may face challenges making treatment and management decisions based on latest evidence for the optimal care of patients with these conditions. This study aimed to identify specific knowledge, skills, and confidence gaps impacting the treatment of CLL and MCL, to inform future educational activities. METHODS: Hematologists and hemato-oncologists (HCPs, n = 224) from France (academic settings), Germany, and the United States (academic and community settings) responded to a 15-minute quantitative needs assessment survey that measured perceived knowledge, skills, and confidence levels regarding different aspects of treatment and management of CLL and MCL patients, as well as clinical case questions. Descriptive statistics (cross tabulations) and Chi-square tests were conducted. RESULTS: Four areas of educational need were identified: (1) sub-optimal knowledge of treatment guidelines; (2) sub-optimal knowledge of molecular testing to inform CLL/MCL treatment decisions; (3) sub-optimal skills when making treatment decisions according to patient profile (co-morbidities, molecular testing results); and (4) challenges balancing the risk of toxicities with benefits of treatment. Over one-third of the respondents reported skill gaps when selecting suitable treatment options and prescribing therapies and reported a lack in confidence to initiate and manage treatment. Larger gaps in knowledge of guidelines and skills in patient assessment were identified in MCL, compared to CLL. CONCLUSIONS: This study suggests the need for continuing medical education specifically to improve knowledge of treatment guidelines, and to assist clinicians in developing skills and confidence when faced with clinical decision-making scenarios of patients with specific comorbidities and/or molecular test results, for example, through case-based learning activities.

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