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Context: Contemporary patients with primary hyperparathyroidism are diagnosed with milder disease than previously. Clinical and biochemical factors predictors with an impact on fracture incidence and bone mineral density after surgery have not been firmly established. Objective: To investigate predictors of fracture incidence and bone mineral density preoperatively and after surgery for primary hy
Following the upgrade of the LNLS injector system with the addition of a 500 MeV booster synchrotron, the storage ring in vacuum ferrite injection kicker magnets started to show overheating due the interaction with high frequency electromagnetic fields induced by the electron beam in large currents. In this paper, we describe the design of a new ceramic chamber for the kickers, which minimize this
Children's outdoor play and access to nature are important for their health and development of environmental agency but there is a global decline of green spaces available to them. The aim is to explore the possibilities of creating nature-based outdoor settings for play and learning which benefit children as well as the wildlife and wider ecosystems. A fieldwork on developing nature based play se
While the Convention on the Rights of the Child (UNCRC) does not address research, it instigated a recognition that decisions concerning children and youth must be based on knowledge of their experiences from their own perspective and consider their specific views and wishes, highlighting their right to be heard. Participatory research underscores this right, arguing the engagement of children and
Energy management in urban areas is challenging due to diverse energy users, dynamics environmental conditions, and the added complexity and instability of extreme weather events. We incorporate adaptive reinforcement learning (ARL) into energy management (EM) and introduce a novel approach, called ARLEM. An online, value-based, model-free ARL engine is designed that updates its policy periodicall
To increase women’s interest in STEM (Science, Technology, Engineering and Mathematics), interventions that target self-efficacy and belongingness are needed. For this purpose, this study designed and tested two interventions. In Study 1, we tested if a video with female role models increases young women’s expected belongingness and interest in engineering. In Study 2, we tested if positive feedba
High-throughput screening (HTS) three-dimensional (3D) tumor models are a promising approach for cancer drug discovery, as they more accurately replicate in vivo cell behavior than two-dimensional (2D) models. However, assessing and comparing current 3D models for drug efficacy remains essential, given the significant influence of cellular conditions on treatment response. To develop in vivo mimic
This study investigates seasonal changes in near-surface wind speeds in the Arctic using the regional climate model (RCM) simulations with RCA4 driven by four global climate models (GCMs) CMIP5 under Representative Concentration Pathways (RCP) 4.5 and 8.5 scenarios. In addition, the RCM RCA-GUESS (RCA4 with interactive vegetation dynamics) is used to investigate the role of biogeophysical feedback
In this research, we develop three statistical based control charts: the Hotelling's T2, MEWMA (multivariate exponentially weighted moving average), and LRT (likelihood ratio test) as well as three machine learning (ML) based control charts: the ANN (artificial neural network), SVR (support vector regression), and RFR (random forest regression), for monitoring generalized linear model (GLM) profil
In Art, Science and the Politics of Knowledge, Hannah Star Rogers challenges the traditional dichotomy between art and science, arguing that they share common approaches to knowledge-making. Drawing on Science and Technology Studies and using compelling examples, Star Rogers illuminates the overlapping characteristics – such as emphases on visualisation, enquiry and experimentation – of the two kn
Aquifer classification plays a pivotal role in understanding groundwater dynamics and informing sustainable water resource management, especially in regions under significant stress from over-extraction. This study presents a novel remote sensing-based methodology for classifying aquifers represented by monitoring wells within the study area. The approach integrates stress-strain analysis, incorpo
Idag lever allt fler människor under förhållanden som definieras som prekära. Även i avancerade välfärdssamhällen lyckas inte de traditionella trygghetssystemen erkänna och hantera de nya sociala risker som dessa grupper inom ”prekariatet” ställs inför. Bland dessa grupper finner vi migrantkvinnor med osäker rättslig ställning. Denna forskning undersöker hur aktörer i akademin och i civilsamhälletIn advanced welfare societies, traditional welfare programs are failing to recognize and respond to new social risks faced by groups in precarious life situations, including migrant women. This research explore how actors in academic and civil society settings recognize and frame the struggles of migrant women with precarious legal status, particularly in terms of gender-based violence (GBV) and a
This study presents a digital solution for inducing visually-induced motion sickness (VIMS) using a head-mounted display (HMD) in a virtual environment. By digitally replicating off vertical axis rotation by adopting the Epley Omniax Chair, we induce sensory conflicts between the visual and vestibular systems through rotational vection, alongside optokinetic stimulation inspired by the Optoki-neti
Interpretation of data from faint dwarf galaxies is made challenging by observations limited to only the brightest stars. We present a major improvement to tackle this challenge by undertaking zoomed cosmological simulations that resolve the evolution of all individual stars more massive than 0.5 M⊙, thereby explicitly tracking all observable stars for the Hubble time. For the first time, we predi
The COVID-19 pandemic has jolted the health system globally and a paucity of specific drugs and/or vaccine hesitancy led clinicians to indiscriminately use antibiotics. Furthermore, during the early waves of the COVID-19 pandemic, several studies showcased the anti-SARS-CoV-2 efficacy of few antibiotics which further catapulted the idea of using them after emergency approval by the Food and Drug A
Glacio-hydrological modeling is a key task for assessing the influence of snow and glaciers on water resources, essential for water resources management. The present study aims to enhance a conceptual hydrological model (namely Glacial Snow Melt (GSM)) by data-driven and swarm computing for enhancing the accuracy of rainfall runoff prediction. The proposed framework combines the conceptual hydrolo
148Gd may contribute to around 50% of the dose from inhalation in case of an accident at the European Spallation Source. Methods for its detection have been developed. They rely on biokinetic models predicting activities of the gamma emitters 146Gd (T1/2= 48.3 d) and 153Gd (T1/2= 240.4 d) as tracers in the lungs, urine, and faeces. The optimal choice of model parameters and associated uncertaintie
To understand mating-system evolution in self-compatible hermaphrodites, variation in selfing rates is highly relevant. Empirical studies are rarely designed to capture variation between individuals, instead often comparing species and populations. Yet, evolution primarily occurs within populations, rendering among-individual variation essential. Observed individual selfing rates depend on the env
This work presents an assessment of the precipitation deficit in the São Francisco River Basin (SFRB) based on temporal, seasonal and regional analyses of two decades of precipitation data products derived from satellite missions launched since 1997. The temporal analyses were performed by means of three 3-month SPI time series, consisting of 250 values each derived from TRMM, CHIRPS and PERSIANN-
