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Abstract There are various methods for handling longitudinal data in graphs and social networks, all of which have an impact on the algorithms used in data analysis. This article provides an overview of limitations, potential solutions, and unanswered questions regarding different temporal data schemas in social networks that are comparable to existing techniques. Restricting algorithms to a specific time point or layer has no effect on the results. However, when applying these approaches to a network with multiple time points, adjusted algorithms or reinterpretation becomes necessary. Therefore, using a generic definition of temporal networks as one graph, we aim to explore how we could analyze longitudinal social networks with centrality measures. Additionally, we introduce two new measures, “importance” and “change”, to identify nodes with specific behaviors. We provide case studies featuring three different real-world networks exhibiting both limitations and benefits of the novel approach. Furthermore, we present techniques to estimate variations in importance and degree centrality over time.

Measuring immediate physiological stress responses in animals can be challenging; saliva and blood sampling, while invasive, may also generate confounding stress responses, and equipping animals with heart rate sensors is not always feasible. Nevertheless, emerging technologies offer a non-invasive and contactless method to measure additional body surface temperature changes induced by acute stress, using infrared thermal measurement of the eye caruncle region. Contactless temperature measurement has the potential to assess the emotional state of animals affected by human physical contact. Reindeer, being highly sensitive to touch and naturally avoiding physical contact, exemplify this case. With growing interest in safari tours involving sledging reindeer, there is a need to investigate how these animals are affected by human interactions and how they adapt to daily close contact. In this pilot experiment, we evaluated the efficacy of thermal imaging in measuring medial canthus temperature fluctuations in non-habituated sledging reindeer while being petted by unfamiliar humans. Our findings support the hypothesis that medial canthus temperature significantly decreases during petting and increases once the interaction ceases, aligning with established stress response patterns found in the literature. This pilot experiment underscores the potential of infrared thermal imaging for non-invasively monitoring physiological responses to stress in tamed reindeer. Moreover, it sets the foundation for refining methodologies and experimental designs using infrared thermal imaging in animal welfare research.

Abstract Acute circulatory shock is a life-threatening emergency requiring an efficient and timely management plan, which varies according to shock etiology and pathophysiology. Specific guidelines have been developed for each type of shock; however, there is a need for a clear timeline to promptly implement initial life-saving interventions during the early phase of shock recognition and management. A simple, easily memorable bundle of interventions could facilitate standardized management with clear targets and specified timeline. The authors propose the “MINUTES” acronym which summarizes essential interventions which should be performed within the first 30 min following shock recognition. All the interventions in the MINUTES bundle are suitable for any patient with undifferentiated shock. In addition to the acronym, we suggest a timeline for each step, balancing the feasibility and urgency of each intervention. The MINUTES acronym includes seven sequential steps which should be performed in the first 30 min following shock recognition: Maintain “ABCs”, INfuse vasopressors and/or fluids (to support hemodynamic/perfusion) and INvestigate with simple blood tests, Ultrasound to detect the type of shock, Treat the underlying Etiology, and Stabilize organ perfusion.

BackgroundProstate cancer is the second leading cause of death among American men. If detected and treated at an early stage, prostate cancer is often curable. However, an advanced stage such as metastatic castration-resistant prostate cancer (mCRPC) has a high risk of mortality. Multiple treatment options exist, the most common included docetaxel, abiraterone, and enzalutamide. Docetaxel is a cytotoxic chemotherapy, whereas abiraterone and enzalutamide are androgen receptor pathway inhibitors (ARPI). ARPIs are preferred over docetaxel due to lower toxicity. No study has used machine learning with patients’ demographics, test results, and comorbidities to identify heterogeneous treatment rules that might improve the survival duration of patients with mCRPC. ObjectiveThis study aimed to measure patient-level heterogeneity in the association of medication prescribed with overall survival duration (in the form of follow-up days) and arrive at a set of medication prescription rules using patient demographics, test results, and comorbidities. MethodsWe excluded patients with mCRPC who were on docetaxel, cabaxitaxel, mitoxantrone, and sipuleucel-T either before or after the prescription of an ARPI. We included only the African American and white populations. In total, 2886 identified veterans treated for mCRPC who were prescribed either abiraterone or enzalutamide as the first line of treatment from 2014 to 2017, with follow-up until 2020, were analyzed. We used causal survival forests for analysis. The unit level of analysis was the patient. The primary outcome of this study was follow-up days indicating survival duration while on the first-line medication. After estimating the treatment effect, a prescription policy tree was constructed. ResultsFor 2886 veterans, enzalutamide is associated with an average of 59.94 (95% CI 35.60-84.28) more days of survival than abiraterone. The increase in overall survival duration for the 2 drugs varied across patient demographics, test results, and comorbidities. Two data-driven subgroups of patients were identified by ranking them on their augmented inverse-propensity weighted (AIPW) scores. The average AIPW scores for the 2 subgroups were 19.36 (95% CI –16.93 to 55.65) and 100.68 (95% CI 62.46-138.89). Based on visualization and t test, the AIPW score for low and high subgroups was significant (P=.003), thereby supporting heterogeneity. The analysis resulted in a set of prescription rules for the 2 ARPIs based on a few covariates available to the physicians at the time of prescription. ConclusionsThis study of 2886 veterans showed evidence of heterogeneity and that survival days may be improved for certain patients with mCRPC based on the medication prescribed. Findings suggest that prescription rules based on the patient characteristics, laboratory test results, and comorbidities available to the physician at the time of prescription could improve survival by providing personalized treatment decisions.

The relevance of policymaking stems from its utility in helping social systems manage the output of their constituent members by shaping behavioural and procedural processes. Whilst policymaking might be well-meaning, it does not always lead to satisfactory outcomes. Policy may fail in generating uptake or establishing intent. For this reason, the study of the psychological characteristics of citizens is pertinent in understanding reactions to policy. In the present study, we analysed policy communication and reception in Kuwait in terms of the worldviews they advance. We also studied media responses and worldview distributions amongst the public ( n = 1400). Our findings demonstrate both within and between worldview differences in reactions to science policy. We observed an engagement effect between worldviews and their appreciation of science policy. We also observed a within worldviews mobilisation effect, by which differential reactions to science policy are activated once engaged. Our conclusions suggest that policymakers would benefit from a broader management of worldviews and psychological characteristics beyond traditional sociodemographic influences.

The 2020–2022 pandemic highlighted concerns about “information disorders”, pressing for approaches capable of guiding the science-society alliance toward a mutually beneficial direction. This essay advocates for and presents a framework proposing the combination of Open Science (OS) and Science Communication (SciComm) practices. OS encourages public access to scientific material, while SciComm has historically enabled public understanding of scientific knowledge. Despite their similar goals, these two communities are disconnected. We draw on the concepts of “boundary object” and “epistemic trust” to demonstrate how this framework could foster a bond between scientific expertise and public reason toward an informed and inclusive common good. The OS-SciComm framework is based on the notion that ensuring transparency in science also requires “bridging tools” that deal with the complexity of scientific lexicon and processes. It values scientific expertise, but does not undermine citizens' capabilities in information processing and their interest in accessing scientific outputs. Our proposal also acknowledges controversies involving open scientific materials during the COVID-19 pandemic and advises caution when drawing conclusions from cases that are often context-specific. The OS-SciComm framework requires innovative ideas, platforms and actions. We invite both communities to join us in this endeavor.

BackgroundClimate change adversely affects Africa’s agriculture which would worsen the widespread food insecurity and nutritional deficiencies. Vulnerable populations, especially female farmers, women, and children are disproportionately affected.MethodsThe paper synthesizes available peer-reviewed and grey literature on the intersections of climate change, food insecurity, agriculture, gender disparities, health, child nutrition, and micronutrient deficiencies in Africa. It explores the economic ramifications of these factors, particularly their impact on public health and economic stability. The work aggregates insights into the current and future challenges of agricultural sustainability and the expected human capital development and economic costs of climate variations.ResultsThe prevalence of hunger and undernourishment in Africa is notably higher compared to other regions. Climate change directly threatens agriculture, with anticipated reductions in crop and livestock yields, compounded by the negative impact of greenhouse emissions on the nutritional quality of staple foods. Female farmers contribute notably to agriculture, but their labor share is less dominant than previously assumed. Exposure to high temperatures, especially for outdoor workers and pregnant women, presents significant health risks, further impacting agricultural and economic output. These interdependencies are presented in a framework along with suggested interventions that could be contextualized to address the climate drivers and interconnectivity across agriculture, health, and livelihoods.ConclusionThe interdependence between food, agriculture, health, nutrition, and human productivity, all of which are exacerbated by the impacts of climate change in Africa, form a complex challenge with profound health and economic implications. A multifaceted strategy is needed, encompassing climate-resilient farming practices, gender-sensitive interventions, health-focused measures like micronutrient supplementation, and comprehensive economic policies.

Primary health care for children in Europe is often not optimal. Primary care providers might not have been trained adequately in dealing with common conditions affecting children and adolescents, and outdated practices often persist. To address these problems, WHO developed the Pocket Book of Primary Health Care for Children and Adolescents. It is for use by doctors, nurses and other health workers who are responsible for the care of children and adolescents at the primary health care level. It summarizes guidance on how to manage – and when to refer – children and adolescents presenting with common complaints and conditions. It includes information to enable primary health care providers to coordinate the continued care of children and adolescents with long-term conditions and diseases managed by specialists. Preventive and promotive measures from the newborn period to adolescence include advice on the timing and content of well-child visits, the promotion of early childhood development and health messages for adolescents.The recommendations of the Pocket Book apply across the WHO European Region and may be adapted by countries to suit their specific circumstances. A mobile APP for Android and IOS phones is available to facilitate uptake and dissemination. The Pocket Book and APP aim to improve quality of care for children and adolescents at the primary health care level. Quality of care is at the core of the comprehensive European Child and Adolescent Health Strategy that is being developed by Member States supported by WHO and partners to refocus attention on child and adolescent health after the COVID-19 pandemic had scooped attention and resources away from this age group. Countries are encouraged to adapt Pocket Book and Strategy to improve the situation of child and adolescent health and well-being in their settings and monitor progress.

Across Europe, the health and wellbeing of children and adolescents requires attention. After the COVID-19 pandemic, the prevalence of mental health conditions has doubled, affecting 1 in 4 adolescents under the age of 18. Overweight and obesity are increasing: 1 in 3 primary school children are overweight or obese. Inequalities in weight and mental health are increasing in many countries, driven by socioeconomic circumstances. Reduction in child mortality, particularly of neonates, is stagnating in several countries, especially in Eastern Europe and Central Asia, and reversing in some.To rally member states to action, WHO is developing a new regional Child and Adolescent Health Strategy. The development commenced in 2019 with the identification of problem statements of issues affecting children and adolescents. These were then converted into actionable standards. They were updated considering the COVID-19 experience and the effects of regional crises on children. Children and adolescents were engaged in the development of the strategy, to identify and take their priorities into account, and stakeholders inside and outside WHO were consulted, including pediatricians and their societies. During a Member States consultation, European countries will have the opportunity to review and revise the draft strategy before it will be presented to the WHO Regional Committee for Europe for adoption.The main components of the strategy are: Early childhood development, school and adolescent health, strengthening health systems and improving quality of care, recognizing and acting on the needs of the most vulnerable and galvanizing societal action on the commercial, social, environmental and digital determinants of health affecting children and adolescents.The strategy forms the basis for monitoring regional progress. It will enable the development of national child and adolescent health and wellbeing strategies and monitoring frameworks. The implementation of the strategy will enable children and adolescents to realize their right to physical, social and mental health and well-being in healthy and enabling environments, so that they can fully participate in shaping prosperous and sustainable societies.

The burden of obesity, diabetes mellitus and asthma remains a significant public health issue worldwide. These conditions are associated with premature deaths and a reduced quality of life. Primary health care plays a key role in the prevention, detection, and management of noncommunicable diseases in childhood, including diabetes and asthma. Health promotion is crucial for a healthy life from early childhood, preventing from obesity, a sedentary lifestyle, exposure to tobacco smoke, and other risk factors associated to noncommunicable diseases. Asthma and type 1 diabetes mainly begin in childhood; thus, recognition and early detection at the primary health care level are essential. In the long term, management of children with chronic diseases requires regular follow-up and cooperation with a specialized team. Care coordination by the primary health care provider is key for optimal control of the disease and development of the child or adolescent in the physical, emotional, and social spheres. Over-referral for diagnosis and follow-up is associated with unnecessary specialist overload, patient anxiety, and financial burden for the families and the health system. Clear criteria and referral pathways with efficient communication between the professional team members are essential to empower primary health care providers, avoid unnecessary referrals, and optimize the care and quality of life of children and adolescents with chronic diseases.The WHO Pocket book of primary health care for children and adolescents was recently developed to address knowledge gaps and improve the diagnosis and management of children and adolescents at the outpatient level. It dedicates an entire chapter to health promotion and disease prevention with counselling messages addressed to children, adolescents and their families; provides guidance for the diagnosis and management of asthma, diabetes and other chronic diseases; and includes additional considerations for adolescents living with chronic conditions.

Abstract Background Liver uptake in [68Ga]Ga-PSMA-11 PET is used as an internal reference in addition to clinical parameters to select patients for [177Lu]Lu-PSMA-617 radioligand therapy (RLT). Due to increased demand, [68Ga]Ga-PSMA-11 was replaced by [18F]F-PSMA-1007, a more lipophilic tracer with different biodistribution and splenic uptake was suggested as a new internal reference. We compared the intra-patient tracer distribution between [68Ga]Ga-PSMA-11 and [18F]F-PSMA-1007. Methods Fifty patients who underwent PET examinations in two centers with both [18F]F-PSMA-1007 and [68Ga]Ga-PSMA-11 within one year were included. Mean standardized uptake values (SUVmean) were obtained for liver, spleen, salivary glands, blood pool, and bone. Primary tumor, local recurrence, lymph node, bone or visceral metastasis were also assessed for intra- and inter-individual comparison. Results Liver SUVmean was significantly higher with [18F]F-PSMA-1007 (11.7 ± 3.9) compared to [68Ga]Ga-PSMA-11 (5.4 ± 1.7, p

Abstract Vertical motion is an important driver of sunlight exposure in aquatic environments, shaping the growth and fate of materials and organisms. We derive a simple model accounting for turbulent depth fluctuations of particles to predict the depth that contributes the most sunlight exposure (effective depth) as well as the single depth that, if measured at one place over time, produces the same total sunlight exposure as a moving particle (functional depth). Field measurements of light and depth in rivers using neutrally buoyant drifters and buoys validate our model. Effective depth varied from 0.1 to 1.5 m below the water surface and was ~ 30% of the overall water depth on average. Functional depth varied from 0.67 to 2.3 m and was ~ 50% of the overall water depth on average. Functional and effective depth are physically based concepts incorporating turbulent motion, spatial variability, and water clarity offering new approaches to characterize light exposure in aquatic environments.

Abstract Optic neuritis is often an initial symptom in multiple sclerosis (MS) or clinically isolated syndrome (CIS), yet comprehensive studies using the 2017 McDonald criteria for MS are scarce. Patient records from our academic centre (2010–2018) were reviewed. Using the 2017 McDonald criteria, three groups were formed: MS optic neuritis (optic neuritis with confirmed MS), CIS optic neuritis (optic neuritis without confirmed MS) and suspected optic neuritis (sON). We compared clinical and paraclinical findings among the groups to identify predictors for CIS- or MS-optic neuritis. The study included 129 MS, 108 CIS, and 44 sON cases. The combination of visual impairment, dyschromatopsia, and retrobulbar pain was observed in 47% of MS patients, 42% of CIS patients, and 30% of sON patients. Dyschromatopsia was the strongest indicator of MS or CIS diagnosis in the backward regression model. 56% of MS patients had relative afferent pupillary defect, 61% optic nerve anomalies within magnetic resonance imaging, and 81% abnormal visual evoked potentials. Our results emphasize the challenges in diagnosing optic neuritis, as not all patients with objectively diagnosed MS exhibit the triad of typical symptoms. To address potentially missing clinical features, incorporating additional paraclinical findings is proposed.

GABAA receptors (γ-aminobutyric acid-gated receptors type A; GABAARs), the major structural and functional postsynaptic components of inhibitory synapses in the mammalian brain, belong to a family of GABA-gated Cl−/HCO3− ion channels. They are assembled as heteropentamers from a family of subunits including: α (1–6), β(1–3), γ(1–3), δ, ε, π, θ and ρ(1–3). GABAARs together with the postsynaptic adhesion protein Neuroligin 2 (NL2) and many other pre- and post-synaptic proteins guide the initiation and functional maturation of inhibitory GABAergic synapses. This study examined how GABAARs and NL2 interact with each other to initiate the formation of synapses. Two functionally distinct GABAAR subtypes, the synaptic type α2β2γ2-GABAARs versus extrasynaptic type α4β3δ-GABAARs were expressed in HEK293 cells alone or together with NL2 and co-cultured with striatal GABAergic medium spiny neurons to enable innervation of HEK293 cells by GABAergic axons. When expressed alone, only the synaptic α2β2γ2-GABAARs induced innervation of HEK293 cells. However, when GABAARs were co-expressed with NL2, the effect on synapse formation exceeded the individual effects of these proteins indicating a synergistic interaction, with α2β2γ2-GABAAR/NL2 showing a significantly greater synaptogenic activity than α4β3δ-GABAAR/NL2 or NL2 alone. To investigate the molecular basis of this interaction, different combinations of GABAAR subunits and NL2 were co-expressed, and the degree of innervation and synaptic activity assessed, revealing a key role of the γ2 subunit. In biochemical assays, the interaction between NL2 and α2β2γ2-GABAAR was established and mapped to the large intracellular domain of the γ2 subunit.

Abstract The widespread use of devices like mobile phones and wearables allows for automatic monitoring of human daily activities, generating vast datasets that offer insights into long-term human behavior. A structured and controlled data collection process is essential to unlock the full potential of this information. While wearable sensors for physical activity monitoring have gained significant traction in healthcare, sports science, and fitness applications, securing diverse and comprehensive datasets for research and algorithm development poses a notable challenge. In this proof-of-concept study, we underscore the significance of semantic representation in enhancing data interoperability and facilitating advanced analytics for physical activity sensor observations. Our approach focuses on enhancing the usability of physical activity datasets by employing a medical-grade (CE certified) sensor to generate synthetic datasets. Additionally, we provide insights into ethical considerations related to synthetic datasets. The study conducts a comparative analysis between real and synthetic activity datasets, assessing their effectiveness in mitigating model bias and promoting fairness in predictive analysis. We have created an ontology for semantically representing observations from physical activity sensors and conducted predictive analysis on data collected using MOX2-5 activity sensors. Until now, there has been a lack of publicly available datasets for physical activity collected with MOX2-5 activity monitoring medical grade (CE certified) device. The MOX2-5 captures and transmits high-resolution data, including activity intensity, weight-bearing, sedentary, standing, low, moderate, and vigorous physical activity, as well as steps per minute. Our dataset consists of physical activity data collected from 16 adults (Male: 12; Female: 4) over a period of 30–45 days (approximately 1.5 months), yielding a relatively small volume of 539 records. To address this limitation, we employ various synthetic data generation methods, such as Gaussian Capula (GC), Conditional Tabular General Adversarial Network (CTGAN), and Tabular General Adversarial Network (TABGAN), to augment the dataset with synthetic data. For both the authentic and synthetic datasets, we have developed a Multilayer Perceptron (MLP) classification model for accurately classifying daily physical activity levels. The findings underscore the effectiveness of semantic ontology in semantic search, knowledge representation, data integration, reasoning, and capturing meaningful relationships between data. The analysis supports the hypothesis that the efficiency of predictive models improves as the volume of additional synthetic training data increases. Ontology and Generative AI hold the potential to expedite advancements in behavioral monitoring research. The data presented, encompassing both real MOX2-5 and its synthetic counterpart, serves as a valuable resource for developing robust methods in activity type classification. Furthermore, it opens avenues for exploration into research directions related to synthetic data, including model efficiency, detection of generated data, and considerations regarding data privacy.

Objective: Adequate intraoperative lymph node (LN) assessment is a critical component of early-stage non–small cell lung cancer (NSCLC) resection. The National Comprehensive Cancer Network and the American College of Surgeons Commission on Cancer (CoC) recommend station-based sampling minimums agnostic to tumor location. Other institutions advocate for lobe-specific LN sampling strategies that consider the anatomic likelihood of LN metastases. We examined the relationship between lobe-specific LN assessment and long-term outcomes using a robust, highly curated cohort of stage I NSCLC patients. Methods: We performed a cohort study using a uniquely compiled dataset from the Veterans Health Administration and manually abstracted data from operative and pathology reports for patients with clinical stage I NSCLC (2006-2016). For simplicity in comparison, we included patients who had right upper lobe (RUL) or left upper lobe (LUL) tumors. Based on modified European Society of Thoracic Surgeons guidelines, lobe-specific sampling was defined for RUL tumors (stations 2, 4, 7, and 10 or 11) and LUL tumors (stations 5 or 6, 7, and 10 or 11). Our primary outcome was the risk of cancer recurrence, as assessed by Fine and Gray competing risks modeling. Secondary outcomes included overall survival (OS) and pathologic upstaging. Analyses were adjusted for relevant patient, disease, and treatment variables. Results: Our study included 3534 patients with RUL tumors and 2667 patients with LUL tumors. Of these, 277 patients (7.8%) with RUL tumors and 621 patients (23.2%) with LUL tumors met lobe-specific assessment criteria. Comparatively, 34.7% of patients met the criteria for count-based assessment, and 25.8% met the criteria for station-based sampling (ie, any 3 N2 stations and 1 N1 station). Adherence to lobe-specific assessment was associated with lower cumulative incidence of recurrence (adjusted hazard ratio [aHR], 0.83; 95% confidence interval [CI], 0.70-0.98) and a higher likelihood of pathologic upstaging (aHR, 1.49; 95% CI, 1.20-1.86). Lobe-specific assessment was not associated with OS. Conclusions: Adherence to intraoperative LN sampling guidelines is low. Lobe-specific assessment is associated with superior outcomes in early-stage NSCLC. Quality metrics that assess adherence to intraoperative LN sampling, such as the CoC Operative Standards manual, also should consider lobe-specific criteria.

In recent times, both geopolitical challenges and the need to counteract climate change have led to an increase in generated renewable energy as well as an increased demand for clean electrical energy. The resulting variability of electricity production and demand as well as an overall demand increase, put additional stress on the existing grid infrastructure. This leads to strongly increased maintenance demands for distribution system operators (DSOs). Today, condition monitoring is used to address these challenges. Researchers have already explored solutions for monitoring critical assets like switchgear and circuit breakers. However, with a shrinking knowledgeable technical workforce and increasing maintenance requirements, mere monitoring is insufficient. Already today, DSOs ask for actionable recommendations, optimization strategies, and prioritization methods to manage the growing task backlog effectively. In this paper we propose a vision of a grid-level cognitive assistance system that translates the outcome of diagnosis and prognosis systems into actionable work tasks for the grid operator. The solution is highly interdisciplinary and based on empirical studies of real-world requirements. We also describe the related work relevant to the multi-disciplinary aspects and summarize the research gaps that need to be closed over the next years.

Abstract Introduction Leg length discrepancy (LLD) following total knee arthroplasty (TKA) is a common complaint, leading to decreased patient satisfaction. However, the effect of LLD diagnosis prior to TKA on outcomes and complications is not well defined. Thus, this study aimed to assess the effects that LLD has on rates of falls and implant complications, length of stay and readmissions, and implant survivorship following TKA. Methods A retrospective review of a private insurance claims database was conducted from 2010 to 2021. All cases of TKA and those with a diagnosis of leg length discrepancy were identified. Patients undergoing TKA with a diagnosis of LLD were matched to control patients 1:5 based on demographic and comorbidity profiles. Two-year fall rates and implant complications, lengths of stay, 90-day readmissions, and time to revision were compared between cohorts. Results A total of 1,378 LLD patients were matched to 6,889 control patients. The LLD group had significantly higher rates of falls, dislocation, mechanical loosening, periprosthetic fracture, and fibrosis when compared to the control group (all P

Abstract Background The incidence of inflammatory bowel disease (IBD) in children is on the increase worldwide. Growth disorders are common in pediatric patients with inflammatory bowel disease. The aim of this paper is to investigate anthropometric indicators, including height and weight in children with inflammatory bowel disease in Saxony, one of the German federal states, and to evaluate growth trends in patients by comparing their height and weight with that of healthy children in Germany. Methods In Saxony, all children and adolescents with IBD were registered in the Saxon Pediatric IBD Registry from 2000 to 2014. The data used are therefore based on a total area-wide survey over 15 years. For this study, 421 datasets of children and adolescents aged 0–14 years with Crohn’s disease (CD) (n = 291) or ulcerative colitis (UC) (n = 130) were analyzed. Z-score and percentile calculations were used to compare differences between IBD patients and the general population. Results The children with CD or UC (both sexes) had a significant lower weight at diagnosis (the mean weight z-score had negative values) versus the general population. The weight values lay mostly below P50 (the 50th percentile, median), more precisely, mostly between P10 and P50 of the body weight child growth curve for corresponding sexes (KiGGS 2003–2006). The height values of both sexes at diagnosis lay also mostly below P50 (the 50th percentile, median) of the child body growth curve for corresponding sexes (KiGGS 2003–2006), i.e. the mean height z-score was negative. But only the children with CD had a significant lower height, more precisely, mostly between P25 and P50 versus the general population (KIGGS). For children with UC the difference was not significant. Conclusion In pediatric patients with IBD the possibility of growth disturbance, mainly in the form of weight retardation, is very probable.

A quarter of Asian elephants are captive, with greater than 90% of these tamed and cared for by handlers (mahouts) in Asia. Although taming is a much-discussed welfare issue, no studies to our knowledge have empirically assessed its impact on calves, and dialogue surrounding taming often lacks perspectives of those involved. Here, we interviewed mahouts involved in taming and monitored five physiological measures (faecal glucocorticoid metabolites (FGMs), serum cortisol, glucose, creatine kinase (CK) and heterophil:lymphocyte (H:L)) over the first 10 days of taming and following six months in 41 calves undergoing taming and 16 control individuals. These measures assess the duration and intensity of stress during taming. Interviews suggested mahouts had major concerns for their safety when discussing changing taming practices, an important consideration for future management. Calf physiological measures were elevated by 50–70% (FGMs/cortisol/glucose), 135% (H:L) and greater than 500% (CK) over the first few days of taming, indicative of elevated stress, not seen to the same extent in control adults. Some measures stabilized sooner (glucose/cortisol/CK/FGM: 7–10 days) than others (H:L: one–two months), indicating mostly acute stress. Our findings inform the welfare of approximately 15 000 captive elephants around the world. Future studies should compare taming in different populations and consider calf and mahout welfare.

Abstract Environmental monitoring and long-term research produce detailed understanding, but its collective effort does not add up to ‘the environment’ and therefore may be difficult to relate to. Local knowledge, by contrast, is multifaceted and relational and therefore can help ground and complement scientific knowledge to reach a more complete and holistic understanding of the environment and changes therein. Today’s societies, however, are increasingly fleeting, with mobility potentially undermining the opportunity to generate rich community knowledge. Here we perform a case study of High Arctic Svalbard, a climate change and environmental science hotspot, using a range of community science methods, including a Maptionnaire survey, focus groups, interviews and cognitive mapping. We show that rich local knowledge on Svalbard could indeed be gathered through community science methods, despite a high level of transience of the local population. These insights complement environmental monitoring and enhance its local relevance. Complex understanding of Svalbard’s ecosystems by the transient local community arose because of strong place attachment, enabling environmental knowledge generation during work and play. We conclude that transience does not necessarily prevent the generation of valuable local knowledge that can enrich and provide connection to scientific understanding of the environment.

Abstract The purpose of this retrospective study was to investigate response of sinonasal mucosal melanoma (SMM) patients to treatment with immune checkpoint inhibitors (ICI), using hybrid PET imaging. Fifteen SMM patients underwent hybrid PET imaging before and three months after initiation of ICI. The disease-specific survival (DSS) was calculated. Quantitative PET parameters of the primary tumor and their association with DSS and therapy response were investigated. Nine of the fifteen (60%) patients responded to ICI therapy. Patients with therapy response depicted on hybrid PET imaging had better DSS than those without (p = 0.0058). Quantitative PET parameters of the initial PET harbored no association with DSS or therapy response. However, these findings lack of sufficient statistical power and must be interpreted with caution. The first restaging PET-imaging after ICI initiation can help stratify patients with regard to DSS.