bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental evidence, global patterns of treeline position and climate provide no substance for a lignin limitation hypothesis of tree growth
Authors: Körner Christian , Hiltbrunner Erika , Hoch Günter 
Published: February 2024

AbstractWhile the position of alpine and arctic treelines can be predicted by climatic data, the underlying biological mechanisms are still unclear. In a recent paper in this journal (Körner C, Lenz A, Hoch G (2023) Chronic in situ tissue cooling does not reduce lignification at the Swiss treeline but enhances the risk of 'blue' frost rings. Alpine Botany https://doi.org/10.1007/s00035-023-00293-6) we presented results of an in situ stem-cooling experiment at a Swiss treeline site. The experiment provided answers to two entirely different questions, related to xylogenesis at treeline: (a) the absence of chronic effects of low temperature on lignification, and (b) a high time resolution insight into the rare occurrence of damages in young, still undifferentiated, and thus, non-lignified cells at the occasion of an exceptional early season frost event. In the last issue of Alpine Botany (August 7, 2023), our data had been re-interpreted by (Büntgen, Alpine Botany, 2023) by confusing (b) with (a). Cell death before secondary wall formation interrupts all metabolism, and thus, cannot exert a specific limitation of lignification. For the xylem to lignify, it requires a secondary cell wall in the first place. A frost damage in young tracheid cells is unsuitable for a dendrological treeline hypothesis based on a low-temperature threshold for lignification. Generally, the global pattern of treeline position is not associated with local freezing conditions.
A loss-of-function mutation in KCNJ11 causing sulfonylurea-sensitive diabetes in early adult life
Authors: Vedovato Natascia , Salguero Maria V. , Greeley Siri Atma W. , Yu Christine H. , Philipson Louis H. , Ashcroft Frances M. 
Published: February 2024

Abstract
Aims/hypothesis
The ATP-sensitive potassium (KATP) channel couples beta cell electrical activity to glucose-stimulated insulin secretion. Loss-of-function mutations in either the pore-forming (inwardly rectifying potassium channel 6.2 [Kir6.2], encoded by KCNJ11) or regulatory (sulfonylurea receptor 1, encoded by ABCC8) subunits result in congenital hyperinsulinism, whereas gain-of-function mutations cause neonatal diabetes. Here, we report a novel loss-of-function mutation (Ser118Leu) in the pore helix of Kir6.2 paradoxically associated with sulfonylurea-sensitive diabetes that presents in early adult life.

Methods
A 31-year-old woman was diagnosed with mild hyperglycaemia during an employee screen. After three pregnancies, during which she was diagnosed with gestational diabetes, the patient continued to show elevated blood glucose and was treated with glibenclamide (known as glyburide in the USA and Canada) and metformin. Genetic testing identified a heterozygous mutation (S118L) in the KCNJ11 gene. Neither parent was known to have diabetes. We investigated the functional properties and membrane trafficking of mutant and wild-type KATP channels in Xenopus oocytes and in HEK-293T cells, using patch-clamp, two-electrode voltage-clamp and surface expression assays.

Results
Functional analysis showed no changes in the ATP sensitivity or metabolic regulation of the mutant channel. However, the Kir6.2-S118L mutation impaired surface expression of the KATP channel by 40%, categorising this as a loss-of-function mutation.

Conclusions/interpretation
Our data support the increasing evidence that individuals with mild loss-of-function KATP channel mutations may develop insulin deficiency in early adulthood and even frank diabetes in middle age. In this case, the patient may have had hyperinsulinism that escaped detection in early life. Our results support the importance of functional analysis of KATP channel mutations in cases of atypical diabetes.

Graphical Abstract
The common factor of executive functions measures nothing but speed of information uptake
Authors: Löffler Christoph , Frischkorn Gidon T. , Hagemann Dirk , Sadus Kathrin , Schubert Anna-Lena 
Published: February 2024

﻿Abstract﻿There is an ongoing debate about the unity and diversity of executive functions and their relationship with other cognitive abilities such as processing speed, working memory capacity, and intelligence. Specifically, the initially proposed unity and diversity of executive functions is challenged by discussions about (1) the factorial structure of executive functions and (2) unfavorable psychometric properties of measures of executive functions. The present study addressed two methodological limitations of previous work that may explain conflicting results: The inconsistent use of (a) accuracy-based vs. reaction time-based indicators and (b) average performance vs. difference scores. In a sample of 148 participants who completed a battery of executive function tasks, we tried to replicate the three-factor model of the three commonly distinguished executive functions shifting, updating, and inhibition by adopting data-analytical choices of previous work. After addressing the identified methodological limitations using drift–diffusion modeling, we only found one common factor of executive functions that was fully accounted for by individual differences in the speed of information uptake. No variance specific to executive functions remained. Our results suggest that individual differences common to all executive function tasks measure nothing more than individual differences in the speed of information uptake. We therefore suggest refraining from using typical executive function tasks to study substantial research questions, as these tasks are not valid for measuring individual differences in executive functions.
Efficient image restoration with style-guided context cluster and interaction
Authors: Qiao Fengjuan , Zhu Yonggui , Meng Ming 
Published: February 2024

AbstractRecently, convolutional neural networks (CNNs) and vision transformers (ViTs) have emerged as powerful tools for image restoration (IR). Nonetheless, they encountered some limitations due to their characteristics, such as CNNs sacrificing global reception and ViTs requiring large memory and graphics resources. To address these limitations and explore an alternative approach for improved IR performance, we propose two clustering-based frameworks for general IR tasks, which are style-guided context cluster U-Net (SCoC-UNet) and style-guided clustered point interaction U-Net (SCPI-UNet). The SCoC-UNet adopts a U-shaped architecture, comprising position embedding, Encoder, Decoder, and reconstruction block. Specifically, the input low-quality image is viewed as a set of unorganized points, each of which is first given location information by the continuous relative position embedding method. These points are then fed into a symmetric Encoder and Decoder which utilize style-guided context cluster (SCoC) blocks to extract potential context features and high-frequency information. Although SCoC-UNet has obtained decent performance for image restoration, its SCoC block can only capture connectivity at points within the same cluster, which may ignore long-range dependencies in different clusters. To address this issue, we further propose a SCPI-UNet based on SCoC-UNet, which leverages a style-guided clustered point interaction (SCPI) block in place of the SCoC block. The SCPI block utilizes a cross-attention mechanism to establish the connections of feature points between different clusters. Extensive experimental results demonstrate that the proposed SCoC-UNet and SCPI-UNet can handle several typical IR tasks (i.e., JPEG compression artifact reduction, image denoising, and super-resolution) and achieve superior quantitative and qualitative performance over some state-of-the-art methods.
A new hybrid approach for grapevine leaves recognition based on ESRGAN data augmentation and GASVM feature selection
Authors: Doğan Gürkan , Imak Andaç , Ergen Burhan , Sengur Abdulkadir 
Published: February 2024

AbstractGrapevine leaf is a commodity that is collected only once a year and has a high return on investment due to its export. However, only certain types of grapevine leaves are consumed. Therefore, it is extremely important to distinguish the types of grapevine leaves. In particular, performing this process automatically on industrial machines will reduce human errors, workload, and thus cost. In this study, a new hybrid approach based on a convolutional neural network is proposed that can automatically distinguish the types of grapevine leaves. In the proposed approach, firstly, the overfitting of network models is prevented by applying data augmentation techniques. Second, new synthetic images were created with the ESRGAN technique to obtain detailed texture information. Third, the top blocks of the MobileNetV2 and VGG19 CNN models were replaced with the newly designed top block, effectively extracting features with the data. Fourthly, the GASVM algorithm was adapted and used to create a subset of the features to eliminate the ineffective and unimportant ones from the obtained features. Finally, SVM classification was performed with the feature subset consisting of 314 features, and approximately 2% higher accuracy and MCC score were obtained compared to the approaches in the literature.
Passive or active drainage system for chronic subdural haematoma—a single-center retrospective follow-up study
Authors: Majewska Paulina , Madsbu Mattis A. , Sagberg Lisa Millgård , Gulati Sasha , Jakola Asgeir Store , Solheim Ole 
Published: February 2024

Abstract

Background
Postoperative drainage systems have become a standard treatment for chronic subdural hematoma (CSDH). We previously compared treatment results from three Scandinavian centers using three different postoperative drainage systems and concluded that the active subgaleal drainage was associated with lower recurrence and complication rates than the passive subdural drainage. We consequently changed clinical practice from using the passive subdural drainage to the active subgaleal drainage.

Objective
The aim of the present study was to assess a potential change in reoperation rates for CSDH after conversion to the active subgaleal drainage.

Methods
This single-center cohort study compared the reoperation rates for recurrent same-sided CSDH and postoperative complication rates between patients treated during two study periods (passive subdural drainage cohort versus active subgaleal drainage cohort).

Results
In total, 594 patients were included in the study. We found no significant difference in reoperation rates between the passive subdural drain group and the active subgaleal drain group (21.6%, 95% CI 17.5–26.4% vs. 18.0%, 95% CI 13.8–23.2%; p = 0.275). There was no statistical difference in the rate of serious complications between the groups. The operating time was significantly shorter for patients operated with the active subgaleal drain than patients with the passive subdural drain (32.8 min, 95% CI 31.2–34.5 min vs. 47.6 min, 95% CI 44.7–50.4 min; p < 0.001).

Conclusions
Conversion from the passive subdural to the active subgaleal drainage did not result in a clear reduction of reoperation rates for CSDH in our center.
Developmental origins of psycho-cardiometabolic multimorbidity in adolescence and their underlying pathways through methylation markers: a two-cohort study
Authors: Choudhary Priyanka , Ronkainen Justiina , Carson Jennie , Karhunen Ville , Lin Ashleigh , Melton Phillip E. , Jarvelin Marjo-Riitta , Miettunen Jouko , Huang Rae-Chi , Sebert Sylvain 
Published: February 2024

AbstractUnderstanding the biological mechanisms behind multimorbidity patterns in adolescence is important as they may act as intermediary risk factor for long-term health. We aimed to explore relationship between prenatal exposures and adolescent’s psycho-cardiometabolic intermediary traits mediated through epigenetic biomarkers, using structural equation modeling (SEM). We used data from mother–child dyads from pregnancy and adolescents at 16–17 years from two prospective cohorts: Northern Finland Birth Cohort 1986 (NFBC1986) and Raine Study from Australia. Factor analysis was applied to generate two different latent factor structures: (a) prenatal exposures and (b) adolescence psycho-cardiometabolic intermediary traits. Furthermore, three types of epigenetic biomarkers were included: (1) DNA methylation score for maternal smoking during pregnancy (DNAmMSS), (2) DNAm age estimate PhenoAge and (3) DNAm estimate for telomere length (DNAmTL). Similar factor structure was observed between both cohorts yielding three prenatal factors, namely BMI (Body Mass Index), SOP (Socio-Obstetric-Profile), and Lifestyle, and four adolescent factors: Anthropometric, Insulin-Triglycerides, Blood Pressure, and Mental health. In the SEM pathways, stronger direct effects of F1prenatal-BMI (NFBC1986 = β: 0.27; Raine = β: 0.39) and F2prenatal-SOP (β: −0.11) factors were observed on adolescent psycho-cardiometabolic multimorbidity. We observed an indirect effect of prenatal latent factors through epigenetic markers on a psycho-cardiometabolic multimorbidity factor in Raine study (P < 0.05). The present study exemplifies an evidence-based approach in two different birth cohorts to demonstrate similar composite structure of prenatal exposures and psycho-cardiometabolic traits (despite cultural, social, and genetic differences) and a common plausible pathway between them through underlying epigenetic markers.
Human-centered design and evaluation of a workplace for the remote assistance of highly automated vehicles
Authors: Schrank Andreas , Walocha Fabian , Brandenburg Stefan , Oehl Michael 
Published: February 2024

AbstractRemotely operating vehicles utilize the benefits of vehicle automation when fully automated driving is not yet possible. A human operator ensures safety and availability from afar and supports the vehicle automation when its capabilities are exceeded. The remote operator, conceptualized as remote assistant, fulfills the legal requirements in Germany as a Technical Supervisor to operate highly automated vehicles at Society of Automotive Engineers 4. To integrate the remote operator into the automated driving system, a novel user-centered human–machine interface (HMI) for a remote assistant’s workplace was developed and initially evaluated. The insights gained in this process were incorporated into the design of a workplace prototype for remote assistance. This prototype was tested in the study reported here by 34 participants meeting the professional background criteria for the role of Technical Supervisor according to the German law. Typical scenarios that may occur in highly automated driving and require remote assistance were created in a simulation environment. Even under elevated cognitive load induced by simultaneously engaging in a secondary task, participants were able to obtain sufficient situation awareness and quickly resolve the scenarios. The HMI also yielded favorable usability and acceptance ratings. The results of this study inform the iterative workplace development and further research on the remote assistance of highly automated vehicles.
When competence and confidence are at odds: a cross-country examination of the Dunning–Kruger effect
Authors: Yang Hansen Kajsa , Thorsen Cecilia , Radišić Jelena , Peixoto Francisco , Laine Anu , Liu Xin 
Published: February 2024

AbstractResearch has shown that some students who underperform in mathematics overestimate their performance, while others who excel in mathematics underestimate it. Looking at this mismatch of performance and confidence judgement—the Dunning–Kruger effect (DKE)—the current study investigates how well students’ confidence judgement and item-specific mathematics competence relate with each other and whether such a relationship differs across six European countries (i.e., Norway, Sweden, Finland, Estonia, Serbia and Portugal). We also examine whether perceived competence, mathematics identity, gender, socioeconomic status and immigration background predict this mismatch and whether these demographic factors function differently between the examined countries. The results show that the DKE could be found across grades three and four in all six countries. However, there are country-specific patterns regarding the relationship between performance, mathematics identity and perceived competence; the DKE; and how different demographic variables predict its occurrences in particular subpopulations.
A New Strategy for the Regulation of Neuroinflammation: Exosomes Derived from Mesenchymal Stem Cells
Authors: Ge Ying , Wu Jingjing , Zhang Li , Huang Nanqu , Luo Yong 
Published: February 2024

AbstractNeuroinflammation is an important pathogenesis of neurological diseases and causes a series of physiopathological changes, such as abnormal activation of glial cells, neuronal degeneration and death, and disruption of the blood‒brain barrier. Therefore, modulating inflammation may be an important therapeutic tool for treating neurological diseases. Mesenchymal stem cells (MSCs), as pluripotent stem cells, have great therapeutic potential for neurological diseases due to their regenerative ability, immunity, and ability to regulate inflammation. However, recent studies have shown that MSC-derived exosomes (MSC-Exos) play a major role in this process and play a key role in neuroprotection by regulating neuroglia. This review summarizes the recent progress made in regulating neuroinflammation by focusing on the mechanisms by which MSC-Exos are involved in the regulation of glial cells through signaling pathways such as the TLR, NF-κB, MAPK, STAT, and NLRP3 pathways to provide some references for subsequent research and therapy.
Graphical Abstract
Exosomes derived from MSCs exhibit neuroprotective effects by regulating signaling pathways and mitigating neuroinflammation triggered by glial cells.
Mental imagery scaffolding: The effects of detail richness and text load on geography learning
Authors: Zhou Yun , Yi Fanqi , Dong Bingyu , Zhang Guangli , Zhang Yi , Xu Tao 
Published: February 2024

AbstractThe growing importance of 3D animations in current teaching approaches becomes increasingly apparent, offering an effective way to visualize complex spatial concepts and processes in geography learning through outstanding visual representation and details. However, the effects of detail richness and text load of 3D animation on learning about processes remain unclear. Addressing this research gap, the present study adopts a quasi-experimental design involving four classes (n = 106) in the context of a geography lesson and evaluates four conditions in a 2 × 2 between-subjects design consisting of detail richness (high vs. low) and text load (high vs. low). The lessons on the rotation and revolution of the Earth were delivered by the same instructor across all conditions. Knowledge acquisition, cognitive load, learning experience, and emotions of students were measured. The results revealed that students were significantly better able to acquire knowledge immediately when exposed to the high detailed visuals but low text load condition. Low detail richness and high text load independently resulted in increased cognitive load. We also observed a significant effect of detail richness on the dimensions of pleasure and arousal, with higher levels of details associated with larger values in these dimensions. This research suggests that when the learning objective necessitates the engagement of mental imagery, incorporating detailed visuals can facilitate learning. The findings contribute to our understanding of how detailed imagery is linked to learning objectives about processes and expand our knowledge regarding the design of detail richness and text of 3D animation in the context of geography learning.
A nose for trouble: ecotoxicological implications for climate change and disease in Saiga antelope (S. t. tatarica)
Authors: Mullineaux S. T. , McKinley J. M. , Marks N. J. , Doherty R. , Scantlebury D. M. 
Published: February 2024

AbstractIn recent decades, Saiga antelope (Saiga t. tatarica) mass die-offs have become more common. The mass die-off of 2015 in central Kazakhstan, recorded 140,000 individual deaths across multiple herds. Previously, research has shown atmospheric humidity, the bacterium Pasteurella multocida serotype B, and resultant haemorrhagic septicaemia, were the primary cause. However, other synergistic factors may have impacted this process. Here we use a multivariate compositional data analysis (CoDA) approach to assess what other factors may have been involved. We show a pollutant linkage mechanism where relative humidity and dewpoint temperature combine with environmental pollutants, potentially toxic elements (e.g., Hg, As), complex carbon compounds (e.g., Acetone, Toluene), and inorganic compounds (e.g., CHx, SO2) which affected the Saiga during the calving season (start and peak) and at the onset of the mass die-off. We suggest a mechanism for this process. Upon arrival at their carving grounds, the Saiga experienced a sudden precipitation event, a spike in temperatures, and resultant high humidity occurs. The infectious bacterium P. multocida serotype B then spreads. Further, environmental pollutants contained within steppe soils are released to the air, forming localised smog events, these synergistically combine, and mass die-off occurs.
The biochemical composition and its relation to color of Ulva spp. upon harvest time
Authors: Nissen Signe H. , Juul Louise , Bruhn Annette , Søndergaard Jens , Dalsgaard Trine K. 
Published: February 2024

AbstractGreen seaweed species of the genus Ulva are promising protein sources for food production. Various factors affect the biochemical composition of Ulva spp. (hereafter Ulva), which can complicate the utilization in a commercial scale food production. This study investigated the composition of Ulva harvested in 2021 in May (dark green/black biomass), June (light green biomass) and August (mixed colored biomass). The August harvest was divided into three different color codes: light green, green, and dark green/black, to explore a relation between color and composition as an indicator for biomass quality. The crude protein (CP) and ash contents were highest in the dark August biomass (16.4±0.4% and 35.9±3.0% of dry matter (DM), respectively) and in the dark biomass harvested in May (20.6±0.5% and 41.2±3.9% of DM, respectively). The light green Ulva harvested in June had a lower CP content (6.5±1.5% of DM) similarly to what was observed for light green biomass in August (7.7±0.1% of DM). The light green biomasses were found to have a higher nitrogen to amino acid (N-to-AA) conversion factor and proportion of essential amino acids (EAA). The lipid content ranged between 1.0-2.2±0.1-0.2% of DM for the different biomasses and a higher lipid content was related with a lighter biomass color. Phosphorus and potassium concentrations were highest in the green fraction, whereas the darker green/black biomass had higher contents of all other elements, including the toxic elements, arsenic and cadmium.
Graphical abstract