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This chapter examines the transformative effects of generative AI (GenAI) on competition law, exploring how GenAI challenges traditional business models and antitrust regulations. The evolving digital economy, characterised by advances in deep learning and foundation models, presents unique regulatory challenges due to market power concentration and data control. This chapter analyses the approaches adopted by the European Union, United States, and United Kingdom to regulate the GenAI ecosystem, including recent legislation such as the EU Digital Markets Act, the AI Act, and the US Executive Order on AI. It also considers foundational models’ reliance on key resources, such as data, computing power, and human expertise, which shape competitive dynamics across the AI market. Challenges at different levels—including infrastructure, data, and applications—are investigated, with a focus on their implications for fair competition and market access. The chapter concludes by offering insights into the balance needed between fostering innovation and mitigating the risks of monopolisation, ensuring that GenAI contributes to a competitive and inclusive market environment.
Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) is an invasive tropical pest that is currently expanding in its geographical range into temperate regions. This study examined the temporal and spatial dynamics of B. dorsalis along an altitudinal gradient in Mpumalanga Province, South Africa, in its southernmost adventive limit, which experiences a temperate climate with dry winters. Populations were monitored from October 2020 to October 2022 at three sites with altitudes ranging from 452 to 1 741 m above sea level. At each site, clusters of attractant-based traps (methyl eugenol and three-component Biolure) were set up and serviced at least monthly. We analysed the effects of climate, time of the year, altitude, and landscape on B. dorsalis abundance. Single population peaks of B. dorsalis were recorded from mid-summer to autumn in all sites, with higher prevalence at the low-altitude site. In the low- and mid-altitude sites, catches were recorded year-round, while at the high-altitude site, there were no catches for four to six months after onset of winter. Higher B. dorsalis catches were recorded as temperatures increased and precipitation decreased. Catches were higher in commercial orchards and home gardens compared to abandoned orchards. These findings provide valuable information for improving simulation models of B. dorsalis distribution and population growth that can be used to inform the management of this pest.
The COVID-19 pandemic has impacted various aspects of daily life, leading to increased psychological symptoms and changes in alcohol use, yet little is known about their specific interactions, particularly early stages during the pandemic. We examined the relationship between psychological symptoms and alcohol-related behaviors associated with COVID-19, and determined whether associations shifted already early during the pandemic and whether changes in psychological symptoms from the pre- to during COVID-19 impacted changes in alcohol consumption.
Methods
Participants were young adults from a longitudinal cohort (N=435, age: 22–25) from two time points. We applied paired samples t-tests, correlation analyses, SHapley Additive exPlanations, and classification models to examine the multiple associations between psychological symptoms and alcohol use directly pre- and early during COVID-19.
Results
We found significant associations between psychological symptoms and alcohol use pre- compared to during COVID-19. Anxiety was the strongest factor influencing alcohol use pre-pandemic, depression had the greatest impact during COVID-19. Changes in anxiety from pre- to during COVID-19 were the main factor associated with an increase in alcohol use, while changes in depression appeared to be most predictive for a decrease/persistence in alcohol use.
Conclusion
These findings suggest a shift in the association between psychological symptoms and alcohol use following COVID-19, as well as a differential impact of psychological symptoms, depending on their changes related to the pandemic. Changes in anxiety may contribute to riskier alcohol use behaviors following the pandemic, while depression appears to be one of the most critical factors influencing alcohol use during such crisis situations.
Sensitivity to ovarian hormone fluctuations can lead to mental distress during the luteal phase of the menstrual cycle, such as in premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD), and also during pregnancy and postpartum, as in perinatal depression (PND).
Aims
In two cohorts, we investigated the relationship between history of PMS/PMDD and PND symptoms. We also examined how premenstrual symptoms are associated with perinatal symptom trajectories and dimensional phenotypes of PND symptoms, which remains unidentified.
Method
From early pregnancy until 6 months postpartum, participants of two large longitudinal cohorts were followed using the Edinburgh Postnatal Depression Scale (EPDS). Premenstrual symptoms were self-reported retrospectively.
Results
Both pre-pregnancy PMS and PMDD were associated with higher EPDS scores across pregnancy and postpartum, even after adjustment for confounders. The odds of developing PND were higher among those reporting PMS and PMDD, ranging up to 1.68 (95% CI 1.25–2.29) (6–13 weeks postpartum) and 3.05 (95% CI 2.26–4.10) (late pregnancy) respectively for PMS and PMDD, throughout the perinatal period. Premenstrual symptomatology was associated more with certain PND trajectories based on the time of occurrence and persistence of symptoms. However, PND symptom severity did not differ depending on premenstrual symptomatology in any trajectory. Prior PMS/PMDD was associated with underlying dimensions of symptom constructs of PND, including severe and moderate symptoms of depressed mood, anxiety and anhedonia.
Conclusions
Women with a history of PMS/PMDD require coordinated care by psychiatrists, other mental health clinicians, midwives and gynaecologists during pregnancy as well as postpartum.
We present coherent beam combining of nanosecond pulses with 20-J energy and large beams using a Sagnac interferometer geometry based on Nd:glass rod-type amplifiers. In this study, we demonstrate that coherent beam combining is compatible with large-diameter energetic beams, presenting, therefore, an interesting and solid perspective towards the performance improvement of large-scale laser facilities, especially in terms of high-repetition-rate and high-energy operation. We demonstrate that for energy of 20 J, the coherent combination efficiency is around 92%, with high beam quality and long-term stability. A thorough temporal and spatial characterization of the system’s operation is provided to forecast the various potentialities available for large-scale facilities.
Traditional wavefront control in high-energy, high-intensity laser systems usually lacks real-time capability, failing to address dynamic aberrations. This limits experimental accuracy due to shot-to-shot fluctuations and necessitates long cool-down phases to mitigate thermal effects, particularly as higher repetition rates become essential, for example, in inertial fusion research. This paper details the development and implementation of a real-time capable adaptive optics system at the Apollon laser facility. Inspired by astronomical adaptive optics, the system uses a fiber-coupled 905 nm laser diode as a pilot beam that allows for spectral separation, bypassing the constraints of pulsed lasers. A graphics processing unit-based controller, built on the open-source Compute And Control for Adaptive Optics framework, manages a loop comprising a bimorph deformable mirror and a high-speed Shack–Hartmann sensor. Initial tests showed excellent stability and effective aberration correction. However, integration into the Apollon laser revealed critical challenges unique to the laser environment that must be resolved to ensure safe operation with amplified shots.
Community advisory boards (CABs) are a promising approach for strengthening patient and partner voices in community health center (CHC) evidence-based decision-making. This paper aims to describe how CHCs used CABs during the COVID-19 pandemic to improve the reach of testing among populations experiencing health disparities and identify transferable lessons for future implementation.
Methods:
This mixed methods study integrates brief quantitative surveys of community engagement (N = 20) and one-on-one qualitative interviews (N = 13) of staff and community partners engaged in CHC CABs with a cost analysis and qualitative feedback from CHC staff participating in an online learning community (N = 17).
Results:
Community partners and staff engaged in the CHC CABs reported high ratings of engagement, with all mean ratings of community engagement principles above a 4 (“very good” or “often”) out of 5. Qualitative findings provided a more in-depth understanding of experiences serving on the CHC CAB and highlighted how engagement principles such as trust and mutual respect were reflected in CAB practices. We developed a CHC CAB toolkit with strategies for governance and prioritization, cost estimates to ensure sustainment, guidance on integrating quality improvement expertise, testimonies from community members on the benefits of joining, and template agendas and facilitator training to ensure meeting success.
Conclusion:
In alignment with the Translational Science Benefits Model, this study expands research impact through comprehensive mixed methods measurement of community engagement and by transforming findings into an action-orientated guide for CHCs to implement CABs to guide evidence-based decision-making for community and public health impact.
Psychotic symptoms in adolescence are associated with social adversity and genetic risk for schizophrenia. This gene–environment interplay may be mediated by personality, which also develops during adolescence. We hypothesized that (i) personality development predicts later Psychosis Proneness Signs (PPS), and (ii) personality traits mediate the association between genetic risk for schizophrenia, social adversities, and psychosis.
Methods
A total of 784 individuals were selected within the IMAGEN cohort (Discovery Sample-DS: 526; Validation Sample-VS: 258); personality was assessed at baseline (13–15 years), follow-up-1 (FU1, 16–17 years), and FU2 (18–20 years). Latent growth curve models served to compute coefficients of individual change across 14 personality variables. A support vector machine algorithm employed these coefficients to predict PPS at FU3 (21–24 years). We computed mediation analyses, including personality-based predictions and self-reported bullying victimization as serial mediators along the pathway between polygenic risk score (PRS) for schizophrenia and FU3 PPS. We replicated the main findings also on 1132 adolescents recruited within the TRAILS cohort.
Results
Growth scores in neuroticism and openness predicted PPS with 65.6% balanced accuracy in the DS, and 69.5% in the VS Mediations revealed a significant positive direct effect of PRS on PPS (confidence interval [CI] 0.01–0.15), and an indirect effect, serially mediated by personality-based predictions and victimization (CI 0.006–0.01), replicated in the TRAILS cohort (CI 0.0004–0.004).
Conclusions
Adolescent personality changes may predate future experiences associated with psychosis susceptibility. PPS personality-based predictions mediate the relationship between PRS and victimization toward adult PPS, suggesting that gene–environment correlations proposed for psychosis are partly mediated by personality.
Inappropriate antibiotic use is a key driver of antibiotic resistance and one that can be mitigated through stewardship. A better understanding of current prescribing practices is needed to develop successful stewardship efforts. This study aims to identify factors that are associated with human cases of enteric illness receiving an antibiotic prescription. Cases of laboratory-confirmed enteric illness reported to the FoodNet Canada surveillance system between 2015 and 2019 were the subjects of this study. Laboratory data were combined with self-reported data collected from an enhanced case questionnaire that included demographic data, illness duration and symptoms, and antibiotic prescribing. The data were used to build univariable logistic regression models and a multivariable logistic regression model to explore what factors were associated with a case receiving an antibiotic prescription. The final multivariable model identified several factors as being significantly associated with cases being prescribed an antibiotic. Some of the identified associations indicate that current antibiotic prescribing practices include a substantial level of inappropriate use. This study provides evidence that antibiotic stewardship initiatives targeting infectious diarrhoea are needed to optimize antibiotic use and combat the rise of antibiotic resistance.
To evaluate whether an antimicrobial stewardship bundle (ASB) can safely empower frontline providers in the treatment of gram-negative bloodstream infections (GN-BSI).
Intervention and Method:
From March 2021 to February 2022, we implemented an ASB intervention for GN-BSI in the electronic medical record (EMR) to guide clinicians at the point of care to optimize their own antibiotic decision-making. We conducted a before-and-after quasi-experimental pre-bundle (preBG) and post-bundle (postBG) study evaluating a composite of in-hospital mortality, infection-related readmission, GN-BSI recurrence, and bundle-related outcomes.
Setting:
New York University Langone Health (NYULH), Tisch/Kimmel (T/K) and Brooklyn (BK) campuses, in New York City, New York.
Patients:
Out of 1097 patients screened, the study included 225 adults aged ≥18 years (101 preBG vs 124 postBG) admitted with at least one positive blood culture with a monomicrobial gram-negative organism.
Results:
There was no difference in the primary composite outcome (12.9% preBG vs. 7.3% postBG; P = 0.159) nor its individual components of in-hospital mortality, 30-day infection-related readmission, and GN-BSI recurrence. Vancomycin (VAN) discontinuation (DC) was done more frequently by the primary team in postBG (37.9% vs 66.7%; P < 0.001). In postBG, de-escalation done by the primary team increased by 8.8%, P = 0.310 and there was an 11.1% increase in the use of aminopenicillin-based antibiotics, P = 0.043.
Conclusions:
GN-BSI bundle worked as a nudge-based strategy to guide providers in VAN DC and increased de-escalation to aminopenicillin-based antibiotics without negatively impacting patient outcomes.
Emotional Intelligence (EI) plays a substantial role in shaping the behavior, overall well-being, and performance of individuals. In the context of healthcare, where professionals frequently confront a demanding work environment, there is a notable prevalence of high Psychological Distress (PD). Consequently, conflicts are a recurrent phenomenon within healthcare settings, exerting impacts on healthcare professionals, patients, and their families.
Objectives
Aims:
1. Investigate the link between Emotional Intelligence (EI) and conflict management among healthcare professionals.
2. Examine how Psychological Distress (PD) relates to conflict management in healthcare.
3. Explore age, specialization, and experience’s influence on EI dimensions.
4. Analyze EI’s impact on healthcare professionals’ conflict resolution choices.
5. Assess how demographics affect conflict resolution preferences among healthcare workers.
These aims explore EI, PD, demographics, and conflict management in healthcare, informing skill enhancement and improved conflict resolution practices.
Methods
This study involved 143 healthcare professionals from diverse regions of Greece. Electronic surveys gathered demographic data and assessed Emotional Intelligence (via a dedicated questionnaire), Psychological Distress (using the Kessler K6+ questionnaire), and Conflict Resolution strategies.
Results
The majority of participants were female (69.2%), with 42.7% aged 46-55 and 30.8% aged 36-45. Age was significantly associated with “Self-awareness” (P=0.032) and “Social Skills” (P=0.009 and 0.007) within Emotional Intelligence dimensions. Negative correlations emerged between Psychological Distress and Emotional Intelligence dimensions (-0.46 to -0.19). Additionally, Psychological Distress showed negative correlations with several Conflict Resolution dimensions: ‘Atmosphere’ (-0.20), ‘Doables’ (-0.28), ‘Mutual Benefit Agreements’ (-0.18), ‘Needs’ (-0.23), and ‘Extra Considerations’ (-0.27). Participants below 35 had higher scores in “Power” (p=0.002), while those aged 46 and above scored higher in “Options” (p=0.002 and 0.009) for conflict resolution.
Conclusions
In summary, this study underscores EI’s relevance in healthcare, especially its influence on PD and conflict resolution. Developing EI competencies offers promise for improving healthcare professionals’ emotional well-being and conflict-handling abilities, ultimately benefiting patient care and staff satisfaction. Further research and tailored interventions are warranted to advance this field at an academic level.
We present a theory of atypical development based on a developmental theory of the typical mind integrating developmental, cognitive, and psychometric theory and research. The paper comprises three parts. First, it outlines the theory of typical development. The theory postulates central cognitive mechanisms, such as relational integration, executive and inferential processes, and domain-specific processes underlying different environmental relations, such as visuospatial or quantitative relations. Cognitive development advances in cycles satisfying developmental priorities in mastering these systems, such as executive control from 2–6 years, inferential control from 7–11 years, and truth control from 12–18 years. Second, we discuss atypical development, showing how each neurodevelopmental disorder emerges from deficiencies in one or more of the processes comprising the architecture of the mind. Deficiencies in relational integration mechanisms, together with deficiencies in social understanding, yield autism spectrum disorder. Deficiencies in executive processes yield attention-deficit and hyperactivity disorder. Deficiencies in symbolic representation yield specialized learning difficulties, such as dyslexia and dyscalculia. Finally, we discuss clinical and educational implications, suggesting the importance of early diagnosis of malfunctioning in each of these dimensions and specific programs for their remediation.
Bivalve molluscs are a diverse group of animals with particular economic and ecological importance. Their morphological characteristics frequently confuse their identification leading to mislabelling of edible species. Genetic diversity is critical to the resilience of marine bivalve populations in the face of environmental stressors such as ocean acidification and warming. In this study, we characterized the phylogeny and defined the first DNA barcodes of six marine bivalves [Ostrea edulis (Linnaeus, 1758) Arca noae (Linnaeus, 1758), Pinctada radiata (Leach, 1814), Venus verrucosa (Linnaeus, 1758), Calllista chione (Linnaeus, 1758) and Ruditapes decussatus (Linnaeus, 1758)] sampled from different coastal areas of Aegean and Ionian Seas using the molecular markers cytochrome c oxidase subunit I (COI) and 18S ribosomal RNA (18S rRNA). Further, COI gene was employed to investigate the population genetic diversity since 18S rRNA exhibited no conspecific differences. The sequence of 18S rRNA successfully discriminated the bivalves at family or superfamily level but occasionally proved insufficient for species identification. Contrariwise, COI was highly informative and could reliably distinguish all species. Population haplotype diversity was moderate to high and was always accompanied by generally low nucleotide diversity, indicating genetically closely related haplotypes. The invasive Pinctada radiata was found to be panmictic even among distant sampling areas, while Ostrea edulis was the only species that exhibited moderate levels of population subdivision. Finally, here we report for the first time the presence of Ostrea stentina in Thermaikos Gulf sampled among Ostrea edulis specimens, demonstrating a new invasive bivalve species in Eastern Mediterranean.
The sensitivities of the Knott's test (four 20-μl sediment aliquots), quantitative buffy coat capillary tube method (QBC tube, 111 μl of whole blood) and direct blood smear (DBS, 20 μl of whole blood) were evaluated for the detection of microfilaraemia in dogs. Undiluted whole blood samples taken from 70 Dirofilaria immitis antigen-positive dogs and 10 serially diluted microfilaraemic blood samples at concentrations of 400, 200, 100, 50, 25 and 12 microfilariae (mff) ml−1 were examined. For filarial speciation, the buffy coat of QBC tubes was mixed with one drop of methylene blue–formalin solution and examined as a direct smear. In 52/70 microfilaraemic blood samples, the number of mff ranged from 12 to 321987 ml−1 (median: 3199 ml−1). The diagnostic sensitivity of the Knott's test, QBC tube method and DBS in undiluted blood samples attained the 100%, 98% and 92.3% levels, respectively. Eighteen dogs tested amicrofilaraemic by all three methods. At concentrations of 400 mff ml−1, a 100% sensitivity was found by all three methods, while at 200 mff ml−1 the Knott's test, QBC tube and DBS were 100%, 100% and 90% sensitive, respectively. The relevant figures at 100 mff ml−1 were 100%, 100% and 80%, at 50 mff ml−1 100%, 100% and 50%, at 25 mff ml−1 100%, 100% and 10% and at 12 mff ml−1 80%, 50% and 10%. At 50 and 25 mff ml−1, the DBS was less sensitive compared to the other two methods, while at 12 mff ml−1, only to the Knott's test. A significant correlation was found between the QBC tube method and Knott's test regarding mff speciation. Therefore, the QBC method may be considered a reliable alternative to the Knott's test for both the detection and speciation of mff in the dog.
This chapter seeks to promote both awareness and understanding of evidence-based psychosocial factors that enhance well-being, adjustment, and recovery in older people admitted to hospital.
The chapter begins by exploring ageing from biological, psychosocial, and existential perspectives. It then focusses upon the psychological sequel of illness and disability in this population and goes on to identify components of psychological well-being drawn from both qualitative and quantitative research studies that promote recovery in older people who have been admitted to hospital.
The chapter also explores the role of culture, faith, and ethnicity in the well-being of hospitalised older people and concludes by highlighting essential components in the development of a positive, recovery-focused culture of care.
This chapter seeks to promote both awareness and understanding of anxiety-based conditions that many older people experience in acute settings and in evidence-based medical and psychosocial interventions that support recovery.
The chapter begins by exploring and identifying the conditions, difficulties, and circumstances that give rise to anxiety in hospitalised older people. This is followed by a description of common anxiety types, their symptomatic presentation, and ther causes. The chapter goes on to explore those evidence-based medical and psychosocial treatment interventions that promote recovery and adjustment
Humankind's main defence against the virus that causes COVID-19 (SARS-CoV-2), besides vaccine development, was co-ordinated behaviour change. In many countries, co-ordination was assisted by tracking surveys designed to measure self-reported behaviour and attitudes. This paper describes an alternative, complementary approach, which was undertaken in close collaboration with officials in the Department of the Taoiseach (Irish Prime Minister). We adapted the Day Reconstruction Method (DRM) to develop the ‘Social Activity Measure’ (SAM). The study was conducted fortnightly for 18 months, with findings delivered directly to the Department. This paper describes the method and shows how SAM generated a detailed picture of where and why transmission risk occurred. By using the DRM, we built aggregate measures from narrative accounts of how individuals spent their previous day. SAM recorded the amount, location and type of social activity, including the incidence of close contact and mask-wearing, as well as compliance with public health restrictions by shops and businesses. The method also permitted a detailed analysis of how public perceptions and comprehension are related to behaviour. The results informed government communications and strategies for lifting public health restrictions. The method could be applied to other future situations that might require co-ordinated public behaviour over an extended period.
How do we engage with the threat of social and environmental degradation while creating and maintaining liveable and just worlds? Researchers from diverse backgrounds unpack this question through a series of original and committed contributions to this wide-ranging volume.
Several factors shape the neurodevelopmental trajectory. A key area of focus in neurodevelopmental research is to estimate the factors that have maximal influence on the brain and can tip the balance from typical to atypical development.
Methods
Utilizing a dissimilarity maximization algorithm on the dynamic mode decomposition (DMD) of the resting state functional MRI data, we classified subjects from the cVEDA neurodevelopmental cohort (n = 987, aged 6–23 years) into homogeneously patterned DMD (representing typical development in 809 subjects) and heterogeneously patterned DMD (indicative of atypical development in 178 subjects).
Results
Significant DMD differences were primarily identified in the default mode network (DMN) regions across these groups (p < 0.05, Bonferroni corrected). While the groups were comparable in cognitive performance, the atypical group had more frequent exposure to adversities and faced higher abuses (p < 0.05, Bonferroni corrected). Upon evaluating brain-behavior correlations, we found that correlation patterns between adversity and DMN dynamic modes exhibited age-dependent variations for atypical subjects, hinting at differential utilization of the DMN due to chronic adversities.
Conclusion
Adversities (particularly abuse) maximally influence the DMN during neurodevelopment and lead to the failure in the development of a coherent DMN system. While DMN's integrity is preserved in typical development, the age-dependent variability in atypically developing individuals is contrasting. The flexibility of DMN might be a compensatory mechanism to protect an individual in an abusive environment. However, such adaptability might deprive the neural system of the faculties of normal functioning and may incur long-term effects on the psyche.