bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evidence on the effectiveness and equity of population-based policies to reduce the burden of type 2 diabetes: a narrative review
Authors: Mackenbach Joreintje D. , Stuber Josine M. , Beulens Joline W. J. 
Published: December 2024

Abstract
There is increasing evidence for the effectiveness of population-based policies to reduce the burden of type 2 diabetes. Yet, there are concerns about the equity effects of some policies, whereby socioeconomically disadvantaged populations are not reached or are adversely affected. There is a lack of knowledge on the effectiveness and equity of policies that are both population based (i.e. targeting both at-risk and low-risk populations) and low agency (i.e. not requiring personal resources to benefit from the policy). In this narrative review, we selected 16 policies that were both population based and low agency and reviewed the evidence on their effectiveness and equity. Substantial evidence suggests that fruit and vegetable subsidies, unhealthy food taxes, mass media campaigns, and school nutrition and physical activity education are effective in promoting healthier lifestyle behaviours. Less evidence was available for mandatory food reformulation, reduced portion sizes, marketing restrictions and restriction of availability and promotion of unhealthy products, although the available evidence suggested that these policies were effective in reducing unhealthy food choices. Effects could rarely be quantified across different studies due to substantial heterogeneity. There is an overall lack of evidence on equity effects of population-based policies, although available studies mostly concluded that the policies had favourable equity effects, with the exception of food-labelling policies. Each of the policies is likely to have a relatively modest effect on population-level diabetes risks, which emphasises the importance of combining different policy measures. Future research should consider the type of evidence needed to demonstrate the real-world effectiveness and equity of population-based diabetes prevention policies.

Graphical Abstract
Genetic and biometric patterns of rangewide divergence of iconic, Neogene relic broadleaved shrub species Staphylea pinnata L.– post-glacial expansion and human impact
Authors: Piechnik Łukasz , Łabiszak Bartosz , Cieślak Elżbieta , Szczepański Sebastian , Kurek Przemysław , Novikov Andriy , Rosati Leonardo , Dönmez Ali A. , Dering Monika , Wójcik Tomasz , Wiatrowska Blanka , Żywiec Magdalena , Wachowiak Witold 
Published: November 2024

AbstractIntegrative phylogeographic studies supported by morphometric analysis and genetic data provide significant insights into the postglacial recolonization history and other factors shaping current distributions of plant species, including major forest-forming trees in Europe. However, genomic resources and phylogeographic knowledge of shrub species remain limited. Staphylea pinnata L. (European bladdernut) is a shrub native to thermophilous broadleaf forests and is the only representative of the Staphyleaceae in Central Europe. Given its historical associations with human and religious beliefs dating back to pre-Christian cultures, the current distribution of this iconic, Neogene relic species has been hypothesized to be influenced by human-assisted migration. This study aims to address this hypothesis by uncovering the genetic and morphometric relationships among S. pinnata populations across its wide distribution range in Europe, Caucasus and the Anatolian Peninsula, linking these findings with existing archaeobotanical and ethnobotanical data. We sampled 87 populations (979 individuals), genotyped them with the applications of newly developed genetic markers, and conducted morphological leafs’ measurements to estimate the postglacial expansion and human impact on the current distribution of S. pinnata. Both genetic and morphometric results indicate primarily natural post-glacial recolonization from two Pleistocene glacial refugia in the Apennines and Balkans. Additionally, we identified “suture zones” of increased genetic diversity in middle latitudes, resulting from secondary contact due to postglacial recolonization from different sources. Significant human contributions were observed towards the northernmost edge of the species’ range, including regions such as Eastern France, Lower Silesia in Poland, and Northern Podolia in Ukraine.
Chyloperitoneum in a toddler on peritoneal dialysis
Authors: Bell Veronica Lavelle , Schlotman Alyssa A. , Benedetti Daniel J. , Hunley Tracy E. 
Published: December 2024

AbstractChyloperitoneum is an uncommon diagnosis in peritoneal dialysis (PD) patients. While admitted for emesis and feeding intolerance, a 16-month-old male on PD developed milky-colored dialysate with increased triglycerides, indicating chyloperitoneum. In adult PD patients, chyloperitoneum can indicate potentially life-threatening pathologies including malignancies and liver or heart disease. By contrast, pediatric patients on PD with chyloperitoneum had recently undergone PD catheter or gastrostomy tube placement with presumed disruption of abdominal lymphatics. Slowing lymph flow through dietary manipulation and rarely, temporary withholding of PD, resolved chyloperitoneum. We report a toddler on PD with chyloperitoneum in whom abdominal investigation showed multifocal hepatoblastoma. Chemotherapy and a medium chain triglycerides (MCTs)-based diet led to prompt resolution of chyloperitoneum. Intrabdominal malignancy in this patient illustrates the importance of a prompt, thorough evaluation of chyloperitoneum to allow definitive therapy if required.
Assessment and deployment of a LSTM-based virtual sensor in an industrial process control loop
Authors: González-Herbón Raúl , González-Mateos Guzmán , Rodríguez-Ossorio José R. , Prada Miguel A. , Morán Antonio , Alonso Serafín , Fuertes Juan J. , Domínguez Manuel 
Published: December 2024

AbstractMeasurement of certain variables within the industrial sector remains a challenge due to the prohibitive costs of sensors, the intricate installation processes, or the continuous nature of production demands. Moreover, if a backup sensor is required in case the main sensor fails, the installation and maintenance difficulties are further increased. A possibility to address this issue is the indirect estimation of the desired variable by leveraging other correlated measures within the operational process. Data-driven techniques are well-suited for this aim, given their capacity to model potentially complex industrial processes. This paper proposes the implementation of a virtual flow sensor for its integration in the control loop of an industrial process. More specifically, four different data-driven methods have been tested to obtain the virtual sensor: multiple linear regression (MLR), multilayer perceptron (MLP), long-short term memory (LSTM) and deep long-short term memory (DeepLSTM). MAE, RMSE and $$R^2$$

R
2

have been chosen as evaluation metrics for model selection and testing. Furthermore, the robustness of the virtual flow sensor is not only evaluated under ideal operating conditions, but it is also tested under adverse conditions with various noise levels added to the measured signals. Additionally, the performance of the flow control loop using the real and virtual sensors is also evaluated in both ideal and adverse conditions. IAE, ITAE, and IAVU indices are used to assess the control performance. The results prove the robustness of the LSTM-based virtual flow sensor and the effectiveness of the control loop using it, avoiding the modification of the controller and interrupting the process when the real flow sensor fails.
Coupling ultrasound and membrane filtration for the fractionation of Spirulina platensis sp. and the recovery of phycocyanin and pigment-free proteins
Authors: Obeid Sara , Rida Hussein , Peydecastaing Jérôme , Takache Hosni , Ismail Ali , Pontalier Pierre-Yves 
Published: November 2024

Abstract
The cyanobacterium Spirulina platensis was subjected to a fractionation process involving ultrasound-assisted extraction and membrane filtration to obtain a pure phycocyanin fraction and a clarified colorless protein fraction free of chlorophyll and carotenoids. The effects of pressure and power on total protein release were assessed. The retention of the extracted proteins was then assessed by ultrafiltration, with and without ammonium sulfate precipitation. Total protein recovery yields reached 97% in aqueous solution, at a low frequency (12 kHz), atmospheric pressure, and with an ultrasonic power of 200 Watts (W). Ammonium sulfate (25% w/v) precipitation was used to remove pigments and impurities from the crude protein extract. Finally, semi-frontal ultrafiltration resulted in high levels of C-phycocyanin recovery in the retentate: 95% and 91% with 10 and 100 kDa-cutoff membranes, respectively. However, the levels of total non-pigmented proteins in the permeate compartment did not exceed 67% with a 100 kDa-cutoff membrane. A fractionation process is proposed here for the valorization of two different protein fractions from Spirulina platensis.
Toddler Screen Time: Longitudinal Associations with Autism and ADHD Symptoms and Developmental Outcomes
Authors: Hill Monique Moore , Gangi Devon N. , Miller Meghan 
Published: November 2024

AbstractGreater screen time is associated with increased symptoms of autism spectrum disorder (autism), attention-deficit/hyperactivity disorder (ADHD), and lower scores on measures of development in preschool-aged community samples. In the current longitudinal study, we examined screen time differences at 18 months of age based on clinically-defined outcomes (i.e., Autism, ADHD Concerns, Comparison) determined at age 3–5 years in a genetically-enriched sample based on family history, along with prospective associations between toddler screen time and preschool autism/ADHD symptoms and developmental achievement. Participants (n = 82) included children at high and low familial likelihood for autism and ADHD. Children with Autism and ADHD Concerns outcomes experienced significantly more screen exposure at 18 months than children without autism or elevated symptoms of ADHD. Greater screen time at 18 months was also associated with preschool symptoms of autism and ADHD and lower developmental achievement across the sample. Preschoolers with neurodevelopmental challenges experienced more screen exposure earlier in development than same-age peers, increasing potential for negative developmental impacts.
Emergent Leadership and Gender Differences: A Comparative Case Study of 5–6-Year-Olds in Makerspaces
Authors: Peleg Adela , Levy Sharona T. 
Published: November 2024

AbstractThis research delves into the dynamics of 5–6-year-old children’s interactions within makerspaces, which are emerging as innovative environments in early childhood education. Despite their growing popularity, there is a notable absence of research evaluating the activities in these spaces for young learners. To address this gap, we conducted a comparative case study, observing three kindergarten classrooms. Qualitative data, gathered through observations, questionnaires, and interviews, provided insights into the children’s makerspace experiences and the social processes in which they engage. The findings yielded two major themes. Firstly, some children, often marginalized in other classroom settings, assumed leadership roles within makerspaces, highlighting their unique knowledge and potential for leadership development. Secondly, gender differences emerged, with boys engaging in mimetic activities influenced by male role models, and girls pursuing goal-oriented approaches. These differences reflect the interplay between gender roles, societal influences, and early childhood learning in makerspaces. We conclude that makerspaces serve as powerful environments in nurturing both resilience and creativity among young learners. This research provides educators with a deeper understanding of how to harness the potential of makerspaces for promoting leadership, achieving gender equity, and unraveling pivotal social interactions—all vital components of contemporary education.
High strehl and high contrast for the ELT instrument METIS
Authors: Feldt Markus , Bertram Thomas , Correia Carlos , Absil Olivier , Cárdenas Vázquez M. Concepción , Coppejans Hugo , Kulas Martin , Obereder Andreas , Orban de Xivry Gilles , Scheithauer Silvia , Steuer Horst 
Published: November 2024

AbstractThe Mid-infrared ELT Imager and Spectrograph (METIS) is a first-generation instrument for the Extremely Large Telescope (ELT), Europe’s next-generation 39 m ground-based telescope for optical and infrared wavelengths, which is currently under construction at the European Southern Observatory (ESO) site at Cerro Armazones in Chile. METIS will offer diffraction-limited imaging, low- and medium-resolution slit spectroscopy, and coronagraphy for high-contrast imaging between 3 and 13 microns, as well as high-resolution integral field spectroscopy between 3 and 5 microns. The main METIS science goals are the detection and characterisation of exoplanets, the investigation of proto-planetary disks, and the formation of planets. The Single-Conjugate Adaptive Optics (SCAO) system corrects atmospheric distortions and is thus essential for diffraction-limited observations with METIS. SCAO will be used for all observing modes, with high-contrast imaging imposing the most demanding requirements on its performance. The Final Design Review (FDR) of METIS took place in the fall of 2022; the development of the instrument, including its SCAO system, has since entered the Manufacturing, Assembly, Integration and Testing (MAIT) phase. Numerous challenging aspects of an ELT Adaptive Optics (AO) system are addressed in the mature designs for the SCAO control system and the SCAO hardware module: the complex interaction with the telescope entities that participate in the AO control, wavefront reconstruction with a fragmented and moving pupil, secondary control tasks to deal with differential image motion, non-common path aberrations and mis-registration. A K-band pyramid wavefront sensor and a GPU-based Real-Time Computer (RTC), tailored to the needs of METIS at the ELT, are core components. This current paper serves as a natural sequel to our previous work presented in Hippler et al. (2018). It reflects all the updates that were implemented between the Preliminary Design Review (PDR) and FDR, and includes updated performance estimations in terms of several key performance indicators, including achieved contrast curves. We outline all important design decisions that were taken, and present the major challenges we faced and the main analyses carried out to arrive at these decisions and eventually the final design. We also elaborate on our testing and verification strategy, and, last not least, comprehensively present the full design, hardware and software in this paper to provide a single source of reference which will remain valid at least until commissioning.
Accessibility of Vulnerable Populations to Essential Opportunities: a Multimodal Approach with Application to Four Polish Cities
Authors: Radzimski Adam 
Published: November 2024

AbstractAccessibility to essential opportunities is one of key measures of sustainability and equity of transport systems. This paper provides an overview of previous studies in this field and introduces a new method for calculating a relative accessibility score that takes into account multimodal travel scenarios. The method is then applied to four second-tier Polish cities: Gdańsk, Kraków, Poznań and Wrocław. The study includes five different types of destinations: education, jobs, healthcare, retail, and green areas, and three sustainable modes of transport: walking, cycling, and public transport. Accessibility scores are compared to population distributions and indicators of spatial autocorrelation are used to identify areas of insufficient accessibility. Results suggest that the degree of equity in accessibility distribution varies across categories of destinations. The share of vulnerable residents in low accessibility clusters was higher for retail and green areas than for education, jobs, and healthcare. The proposed method can be useful in identifying areas of socio-economic vulnerability that require improvements in accessibility.
Technological adoptions and sector-specific innovations in a low-tech environment: key actors and sources of R&D in InsurTech
Authors: Ozcan Sercan , Vogel Dominik Brian , Saritas Ozcan 
Published: November 2024

Abstract
Following financial technologies’ rapid growth, innovations and R&D are entering the insurance industry. The development of technologies such as smart sensors, artificial intelligence, and mobile technologies offers potential for disruptive innovations to revolutionise the industry. This paper identifies the key technological adoptions and R&D in the field of InsurTech considering the sources of innovations and actors through patentometrics. It analyses the main areas of granted patents and patent applications in this field. The present literature provides both quantitative and qualitative information about key areas, investments, and further financial data in the field, but a thorough patent analysis is not yet available. This study also contributes to the adoption and innovation theories. It outlines a new angle by examining the sources of innovations and technological adoptions through both academic and professional lenses. Patentometrics helps to identify the technological clusters and main actors globally. Patent applications can reveal potential future focus points. Hence, the analysis of patents can provide a more specific outlook than an extrapolation of historical financial data. In addition, interviews with experts are conducted to justify the results of the patentometrics and to collect further information. The results show how, in a low-tech environment, innovations occur with the support of third parties and industry-specific R&D and organisations. Interestingly, most adopters and innovators are within the insurance industry. Analysing InsurTech patent applications leads to the identification of R&D activities in the vehicle, health, and property insurance areas. These areas can represent the future trends of innovations in the InsurTech industry.
Interrater reliability of different scoring systems for drug-induced sleep endoscopy
Authors: Mitsikas Dimitrios , Jakob Benedikt , Janjic Vlado , Hasler Corinne , Tschopp Samuel 
Published: November 2024

Abstract
Purpose
To explore the interobserver reliability of drug-induced sleep endoscopy (DISE) for patients with obstructive sleep apnea syndrome (OSAS) of two classification systems.

Methods
DISE examinations were recorded digitally for all patients and were evaluated independently by five examiners blinded to all patient data. Areas of obstruction were rated using VOTE (velum, oropharynx lateral wall, tongue base, epiglottis) classification and PTLTbE (palate, tonsils, lateral pharyngeal wall, tongue base, epiglottis) classification. Additionally, palatal coupling was assessed during the jaw thrust maneuver. Interobserver reliability was evaluated with Fleiss’ kappa for categorical data and linearly weighted kappa for ordinal data.

Results
In total, 123 patients were included in this study, 92 males and 31 females, with a mean (SD) age of 50.7 (12.1) years and a body mass index (BMI) of 28.3 (5.0) kg/m2. The mean apnea-hypopnea index was 22.2 (18) per hour, and the Epworth Sleepiness Scale was 7.3 (2.3). In our cohort, the interobserver reliability for the VOTE classification ranged from 0.32 to 0.59 and for the PTLTbE classification from 0.23 to 0.49 over all assessed levels, indicating fair to moderate interobserver reliability. The weighted kappa for palatal coupling was 0.37. In the VOTE classification, the level with the best agreement was the velum, while in PTLTbE, the best agreement was observed for tonsillar obstruction.

Conclusion
The interrater agreement was fair to moderate for both classifications, with no clear superiority for one classification. The large variability shows the need to objectively quantify upper airway collapse during DISE and natural sleep endoscopy.
A Novel Real-time Phase Prediction Network in EEG Rhythm
Authors: Liu Hao , Qi Zihui , Wang Yihang , Yang Zhengyi , Fan Lingzhong , Zuo Nianming , Jiang Tianzi 
Published: November 2024

AbstractClosed-loop neuromodulation, especially using the phase of the electroencephalography (EEG) rhythm to assess the real-time brain state and optimize the brain stimulation process, is becoming a hot research topic. Because the EEG signal is non-stationary, the commonly used EEG phase-based prediction methods have large variances, which may reduce the accuracy of the phase prediction. In this study, we proposed a machine learning-based EEG phase prediction network, which we call EEG phase prediction network (EPN), to capture the overall rhythm distribution pattern of subjects and map the instantaneous phase directly from the narrow-band EEG data. We verified the performance of EPN on pre-recorded data, simulated EEG data, and a real-time experiment. Compared with widely used state-of-the-art models (optimized multi-layer filter architecture, auto-regress, and educated temporal prediction), EPN achieved the lowest variance and the greatest accuracy. Thus, the EPN model will provide broader applications for EEG phase-based closed-loop neuromodulation.
Multilocus sequence typing, antimicrobial susceptibility, and phage discovery of motile Aeromonas species from the pond-cultured goldfish Carassius auratus on two farms in Japan
Authors: Fudeshima Kazuki , Kitaoka Kazuki , Kaneko Tomoyoshi , Yamamura Shuichi , Yamasaki Yuki , Mizutani Hiromasa , Miyanaga Kazuhiko , Tanji Yasunori , Mano Nobuhiro , Tsuneda Satoshi 
Published: December 2024

AbstractMotile Aeromonas spp., including Aeromonas hydrophila, A. caviae, and A. veronii biovar sobria can cause motile aeromonad disease and pose serious threats to the aquaculture industry. Motile aeromonads showing high minimum inhibitory concentrations (MICs) to widely used various antibiotics in global aquaculture production have been reported. Several studies have shown that A. hydrophila phages are effective in treating infected fish. However, in Japan, epidemiological reports and phage studies of motile Aeromonas spp. isolated from fish are scarce. In this work, we visited two goldfish farms in Japan between 2020 and 2021, and obtained 33 motile Aeromonas isolates from Carassius auratus exhibiting symptoms of motile aeromonad disease. Multilocus sequence typing analysis revealed that the isolated motile aeromonads belonged to a wide variety of sequence types (STs) including new STs. The ST2007 accounted for 50% (6/12) of A. hydrophila isolates, and each was isolated at different timepoints and farms. The isolated bacteria exhibited high MICs for oxolinic acid, nitrofural, sulfamerazine, and oxytetracycline; 13 isolates (39%) which presented with MICs above commercially used concentrations of oxolinic acid, nitrofural, and sulfamerazine in Japan and were classified as non-wild types for oxytetracycline. The subsequently isolated phages showed high specificity for the motile aeromonads isolates.