bluuebunny/crossref_metadata_2025_split huggingface dataset:
A global patent dataset of bioeconomy-related inventions
Authors: Kriesch Lukas , Losacker Sebastian 
Published: November 2024

AbstractMany governments worldwide have proposed transitioning from a fossil-based economy to a bioeconomy to address climate change, resource depletion, and other environmental concerns. The bioeconomy utilizes renewable biological resources across all sectors and is strongly founded on scientific advances and technological progress. Given that the bioeconomy spans multiple sectors, industries, and technological fields, tracking it is challenging, and both policymakers and researchers lack a comprehensive understanding of the bioeconomy transition’s progress. We aim to solve this problem by providing a dataset on patents, a commonly used indicator to study the development of novel knowledge and technological change, that identifies bioeconomy-related inventions. We leverage the advanced semantic understanding embedded in pre-trained transformer models to identify bioeconomy-related patents based on patent abstracts, and we use a topic modelling approach to identify several coherent technological fields within the corpus of bioeconomy patents. The dataset can be linked to other patent databases and therefore provides rich opportunities to study the technological knowledge base of the bioeconomy.
Deep phenotyping the right ventricle to establish translational MRI biomarkers for characterization of adaptive and maladaptive states in pulmonary hypertension
Authors: Baxan Nicoleta , Zhao Lin , Ashek Ali , Niglas Marili , Wang Dingyi , Khassafi Fatemeh , Sabrin Farah , Dubois Olivier , Chen Chien-Nien , Pullamsetti Soni Savai , Wilkins Martin , Zhao Lan 
Published: November 2024

AbstractDeep phenotyping the right ventricle (RV) is essential for understanding the mechanisms of adaptive and maladaptive RV responses to pulmonary hypertension (PH). In this study, feature selection coupled with machine learning classification/ranking of specific cardiac magnetic resonance imaging (MRI) features from cine-MRI, flow-sensitized, and extracellular-volume techniques were used to assess RV remodelling in monocrotaline (MCT) and Sugen hypoxia (SuHx) PH rats. Early physiological changes associated with RV adaptation were detected along with prediction of RV maladaptive outcomes. Key adaptation features included haemodynamic alterations of pulmonary blood flow ejection and wave reflection, mild RV dilatation, progressive RV hypertrophy with subtle extracellular volume growth of RV wall. A dominant component of maladaptation was the extracellular matrix increase at RV insertion points and septum, observations compatible with histopathologic and RNA-sequencing results. The upregulation of mammalian target of rapamycin (mTOR) paralleled by AMP-activated protein kinase (AMPK) deactivation was seen at 4-week MCT and 8-week SuHx, along with reduced sarcoplasmic/endoplasmic reticulum Ca2+ATPase (SERCA2) expression, strongly associated with the RV systolic malfunction seen at this stage in vivo. The here established MRI features can serve as potential imaging biomarkers to evaluate PH treatment efficacy in preclinical studies and build up translational markers for the PH clinic.
GalNT2-mediated O-glycosylation affects pancreas development and function in mice
Authors: Mercanoglu Baris , Waschkowski Sissy-Alina , Neuburg Elena , Schraps Nina , Giannou Anastasios D. , Dreyer Benjamin , Harder Sönke , Heine Markus , Krebs Christian F. , Güngör Cenap , Schlüter Hartmut , Melling Nathaniel , Hackert Thilo , Bockhorn Maximilian , Wagener Christoph , Wolters-Eisfeld Gerrit 
Published: November 2024

AbstractGALNT2, also known as polypeptide N-acetylgalactosaminyltransferase 2, is an enzyme that catalyzes the initial step of O-linked glycosylation, a crucial posttranslational modification that affects protein folding, stability, and function. Alterations in GALNT2 activity have been implicated in various diseases, such as cancer, metabolic disorders, and cardiovascular diseases, highlighting its importance in maintaining normal physiological functions. To investigate the impact of GalNT2 overexpression in vivo for the first time, we generated a conditional transgenic mouse line in which GalNT2 was expressed specifically in the pancreas. Heterozygous overexpression leads to a loss of acinar mass and pancreatic steatosis, whereas homozygous overexpression causes complete pancreatic loss and results in a lethal phenotype. Using a reporter gene mouse line, we demonstrated that adipocytes originate through transdifferentiation from pancreatic cells. GalNT2 overexpression results in additional O-glycosylation sites, which we analyzed through PNA lectin enrichment and mass spectrometric proteome analysis.
Habitual physical activity is related to more creative activities and achievements
Authors: Rominger Christian , Fink Andreas , Perchtold-Stefan Corinna M. , Benedek Mathias , Schwerdtfeger Andreas R. 
Published: November 2024

AbstractBeyond health, physical activity (PA) is associated with better creative ideation performance. People who are habitually more physically active produce more original ideas when asked to think creatively about an alternative use of an everyday object such as a brick. This aligns with findings indicating a positive relationship of PA with more basic cognition, such as memory, attention, as well as executive functioning. However, to the best of our knowledge, to date, no empirical research examined the link between PA (or inactivity) and real-life creative behavior. Therefore, this study investigated how objective and subjective assessments of PA relate to creative activities and achievements. In a sample of 156 participants wearing a mobile sensor for up to five consecutive days, less sedentary behavior and more moderate-to-vigorous PA were associated with more frequent creative activities. A similar pattern of associations occurred for self-rated habitual PA, which explained additional and unique variance of creative activities as well as creative achievements. For objective PA (assessed via sensor), we did not find associations with creative achievements, openness, and creative behavior. The results of this study suggest that the positive effects of habitual PA may generalize from better health, cognition, and creative ideation performance outcomes to more real-life creative behavior such as cooking original dishes and making music.
A novel computational model of swine ventricular myocyte reveals new insights into disease mechanisms and therapeutic approaches in Timothy Syndrome
Authors: Trancuccio Alessandro , Tarifa Carmen , Bongianino Rossana , Priori Silvia G. , Santiago Demetrio J. 
Published: November 2024

AbstractTimothy syndrome type 1 (TS1), a malignant variant of Long QT Syndrome, is caused by L-type Ca2+ Channel (LTCC) inactivation defects secondary to the p.Gly406Arg mutation in the CACNA1C gene. Leveraging on the experimental in vitro data from our TS1 knock-in swine model and their wild-type (WT) littermates, we first developed a mathematical model of WT large white swine ventricular cardiomyocyte electrophysiology that reproduces a wide range of experimental data, including ionic current properties, action potential (AP) dynamics, and $$\hbox {Ca}^{2+}$$

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handling. A sensitivity analysis tested robustness and facilitated comparison with the parent ORd human model. Introducing 22% of TS1-mutated LTCCs, the model faithfully reproduced key disease features, including marked AP prolongation, steeper rate-dependent adaptation of AP duration, $$\hbox {Ca}^{2+}$$

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overload, and CaMKII-mediated decreased upstroke velocity. Translational relevance of the TS1 model was investigated by: dissecting the roles of primary and secondary contributors to TS1 phenotype; demonstrating the arrhythmogenic potential of TS1 vs. WT cells; and evaluating the model’s capability to identify novel pharmacological targets which could modulate the cellular phenotype. In conclusion, we developed a mathematical large white swine ventricular myocyte model, demonstrating its utility in exploring arrhythmogenic mechanisms and therapeutic interventions in cardiac diseases, such as TS1.
Machine learning analysis of the effects of COVID-19 on migration patterns
Authors: Mukhamedova Farzona , Tyukin Ivan 
Published: November 2024

AbstractThis study investigates the impact of the COVID-19 pandemic on European tourist mobility patterns from 2019 to 2021 by conceptualizing countries as monomers emitting radiation to model and analyze their patterns through the lens of socio-economics and machine learning. By incorporating perturbations into clustering, this work evaluates the stability of mobility flux clustering under variable conditions, offering insights into the dynamics of socio-economic corridors. The results highlight distinct shifts in tourist behavior, with bimodal clustering in 2019 reflecting heterogeneous mobility patterns, whereas unimodal distributions in 2020 and 2021 indicate increased global uniformity, driven by pandemic-induced restrictions and gradual recovery. The PCA and dendrograms of the perturbed clustering reveal that tourist preferences align with GDP, cultural, and linguistic similarities, explaining regional cohesion and fragility. This study demonstrates the fragility of emerging socio-economic corridors like the Red Octopus compared to the resilience of established ones like the Blue Banana. The findings emphasize the importance of targeted policy interventions, such as strengthening transport infrastructure and fostering small and medium-sized enterprises (SMEs), to mitigate disruptions and promote balanced regional development. By integrating perturbations into clustering, this research introduces a strong framework for assessing mobility patterns under realistic variability to enhance economic resilience and anticipate shifts in tourist behavior during global crises.
A deep learning approach to real-time Markov modeling of ion channel gating
Authors: Oikonomou Efthymios , Juli Yannick , Kolan Rajkumar Reddy , Kern Linda , Gruber Thomas , Alzheimer Christian , Krauss Patrick , Maier Andreas , Huth Tobias 
Published: November 2024

AbstractThe patch-clamp technique allows us to eavesdrop the gating behavior of individual ion channels with unprecedented temporal resolution. The signals arise from conformational changes of the channel protein as it makes rapid transitions between conducting and non-conducting states. However, unambiguous analysis of single-channel datasets is challenging given the inadvertently low signal-to-noise ratio as well as signal distortions caused by low-pass filtering. Ion channel kinetics are typically described using hidden Markov models (HMM), which allow conclusions on the inner workings of the protein. In this study, we present a Deep Learning approach for extracting models from single-channel recordings. Two-dimensional dwell-time histograms are computed from the idealized time series and are subsequently analyzed by two neural networks, that have been trained on simulated datasets, to determine the topology and the transition rates of the HMM. We show that this method is robust regarding noise and gating events beyond the corner frequency of the low-pass filter. In addition, we propose a method to evaluate the goodness of a predicted model by re-simulating the prediction. Finally, we tested the algorithm with data recorded on a patch-clamp setup. In principle, it meets the requirements for model extraction during an ongoing recording session in real-time.
Recent advances in catalytic asymmetric condensation reactions for the synthesis of nitrogen containing compounds
Authors: Jia Jifan , Xu Qianqian , Fan Haitong , Lv Yunpeng , Li Dan 
Published: November 2024

Asymmetric synthesis of functionalized nitrogen-containing compounds via the direct condensation of amines with carbonyls, focusing on the desymmetrization or dynamic kinetic resolution, the de novo cycloaromatization and the Heyns rearrangement.
Master–slave strategy based on fuzzy control for SOC recovery in the BESS FM process
Authors: Li Ningning , Chen Meiru , Ban Mingfei , Liu Yiqi 
Published: November 2024

AbstractConventional units can regulate grid frequency but often face challenges such as slow response times and accelerated aging. As a solution for frequency modulation (FM), the battery energy storage system offers a promising alternative, enabling efficient frequency regulation while maintaining the state of charge (SOC) within an optimal range. This article proposes a master–slave FM strategy based on fuzzy control to facilitate SOC restoration during the FM process. Initially, the principles of FM for both control types are examined, focusing on the output characteristics of virtual sag control and virtual inertia control. Subsequently, a collaborative output approach combining sag control and inertia control is presented as the primary FM strategy, where frequency changes are analysed, and frequency deviations and SOC are regionally categorized. An adaptive regulator is then designed to dynamically allocate weights to the outputs of the sag and inertia slave FM controls. Finally, simulation results validate the effectiveness and feasibility of the proposed master–slave FM strategy. Under conditions of continuous load disturbance, the strategy demonstrates a 4.07% improvement in SOC recovery compared to conventional control strategies that coordinate outputs through sag and inertia control.
A belief propagation algorithm based on track‐before‐detect for tracking low‐observable and manoeuvering targets using multiple sensors
Authors: Cao Chenghu , Huang Haisheng , Li Xin , Zhao Yongbo 
Published: November 2024

AbstractIt is notoriously challenging work to track an unknown number of low‐observable manoeuvering targets. In this paper, a sequential Bayesian inference method based on the multiple‐model dynamic model and track‐before‐detect measurement (TBD) model is proposed for tracking low‐observable manoeuvering targets using multiple sensors. The multiple‐model dynamic model is capable to characterise the dynamic behaviour of manoeuvering targets. The TBD measurement model can completely capture an echo signal without any preprocessing, furtherly handling with low‐observable targets. The authors’ proposed method is based on a new multi‐sensor statistical model that allows targets to interact and contribute to more than one data cell for the pixeled image TBD approach. Based on the factor graph representing the multi‐sensor statistical model, the marginal posterior densities are derived by performing the message passing equations of the proposed belief propagation algorithm for target detection and target state estimation. The simulation results validate that the computational complexity of our proposed multi‐sensor BP‐TBD algorithm scales in the number of sensor nodes and demonstrate that its performance is superior among the state‐of‐the‐art multi‐sensor TBD methods.
Transplacental Transport Rates of Anti-pertussis Toxin–IgG and Anti-filamentous Hemagglutinin–IgG Antibodies in Newborns by Week of Birth
Authors: Inceli Oguzhan , Sonmez Cemile , İnceli Elif Ece , Topçu Hasan Onur , Ibanoglu Mujde Can , Engin-Ustun Yaprak 
Published: November 2024

Objective The aim of this study is to investigate the lack of knowledge about the transplacental transport of antibodies in unvaccinated term and preterm infants and possible differences in antibody-mediated immunity in the fetus depending on maternal vaccination in their own infancy.
Study Design The study was conducted as a prospective cross-sectional study between 2017 and 2018 and included a total of 334 participants. The study included 194 pregnant women with a preterm birth (before 37 weeks) and 140 pregnant women with a term birth. Both umbilical cord blood and maternal blood were used to measure serum levels of anti-pertussis toxin (PT) immunoglobulin (Ig) G and anti-filamentous hemagglutinin (FHA) IgG.
Results The results showed that anti-FHA IgG antibody levels in the cord blood of women who had delivered at term were significantly higher than those of preterm infants (p = 0.002). The placental transfer rate of anti-PT IgG was higher in women who delivered prematurely, but this difference was not statistically significant (p = 0.128). However, transfer rates for anti-FHA were significantly higher in women who had delivered prematurely (p = 0.001). In addition, transmission rates for both antibodies were found to be significantly lower in women who delivered before 32 weeks gestation than in women who delivered at term (p = 0.006, p < 0.001). Antibody transfer rates were found to be positively correlated with both gestational age and birth weight.
Conclusion In summary, although placental antibody transfer rates increased with gestational age, transfer rates and antibody levels were low in pregnant women, particularly in women who had given birth before 32 weeks gestation.
Key Points
Novel Placental Biomarker Shows Predictive Potential for Spontaneous Preterm Labor
Authors: Wang Bingbing , Seif Karl , Lei Jun , Mangione Mary , Turan Sifa , Reece E Albert , Burd Irina , Yang Peixin 
Published: November 2024

Objective Human parturition involves many events among mother, fetus, and placenta, and the initiation of these events is the consequence of activation of a series of endocrine and immune responses. Multiple underlying pathways account for the cascade of events that culminate in spontaneous preterm labor. In this study, we aimed to characterize these signaling pathways of placental origin at molecular levels.
Study Design We used single-cell RNA-sequencing (sc-RNA-seq) analysis to probe transcriptional heterogeneity in human placenta delivered at preterm or term and then used RNA in situ hybridization (RNA-ISH) assay on formalin-fixed paraffin-embedded (FFPE) placental tissues to validate these results.
Results By using sc-RNA-seq on villous cytotrophoblast (CTB) isolated from a preterm placenta, we found that signaling pathways implicated in the initiation of term or preterm labor including ferroptosis, kisspeptin (KISS1), and senescence were constitutively activated in distinct cellular clusters of these trophoblastic stem cells. RNA-ISH-based spatial gene expression profiling in FFPE tissues revealed that pregnancy-specific beta-1-glycoprotein 4 (PSG4), a potent molecular driver for cellular aging, was significantly increased in preterm placentas (N = 30) compared to their full-term counterparts (N = 9). Furthermore, PSG4 mRNA signals were predominantly detected in the villous syncytiotrophoblast and the discontinuous monolayer of CTB as well as the intervillous space where maternal blood circulates.
Conclusion Our study provides strong support for PSG4 overexpression serving as a biomarker for pregnant women at risk for preterm delivery, which can allow for the development of timely and clinical preventive strategies.
Key Points
Impact of Treatment Technique on Testicular Dose and Sexual Activity in Rectal Cancer Patients
Authors: Tejaswi-Siddappa Poornachandra , Sunkappa Shamsundar , Kunigal-Puttaswamy Jagannath , Katke Aradhana , Ramanand Nanda , Boraiah Thejaswini 
Published: November 2024

Abstract
Objective To estimate the incidental radiation dose delivered to the testicles in three-dimensional conformal radiotherapy (3DCRT), intensity-modulated radiotherapy (IMRT), and volumetric-modulated arc therapy (VMAT) in rectal cancer patients and its impact on sexual activity using a quality-of-life questionnaire.
Materials and Methods The present study included 40 male patients, aged between 25 and 50 years. with locally-advanced rectal cancer, who would undergo neoadjuvant radiotherapy at a dose of 45 Gray (Gy) in 25 fractions (fr) in the supine position. Planning was performed for three techniques: 3DCRT, IMRT, and VMAT. The testicular dose, testicular volume, planning target volume (PTV), the distance of the tumor from the anal verge, and tumor thickness and length in each plan were recorded. A quality-of-life questionnaire pertaining only to sexual activity by the European Organization for Research and Treatment of Cancer–Quality of Life in Colorectal (EORTC QLQ-CR29) and the Functional Assessment of Cancer Therapy–Colorectal (FACT-C) were used to assess the posttreatment effect on sexual life.
Results The mean values for tumor length, thickness, and PTV were of 8.9 cm, 1.77 cm and 1,352 cm3 respectively. The mean dose to the right and left testicles (in centigray, cGy) were as follows: 3DCRT – 336.23 and 206.65; IMRT – 165.15 and 140.25; and VMAT – 209.2 and 229.2 respectively. A significant correlation was observed involving the PTV and testicular volume and the incidental testicular dose received. The questionnaire-based analysis of sexual activity included 31 patients who were alive, of whom 27 had resumed their normal sexual life 3 months after the treatment without difficulty (score 4).
Conclusion The IMRT showed a significant reduction in the testicular dose when compared to 3DCRT and VMAT. The PTV and testicular volume presented a statistically significant impact on the testicular dose, and the main reason for abstinence was nervousness about disease recurrence.
The landscape of dementia research in Brazil from 2010 to 2021: a Scopus-based bibliometric study
Authors: Ramos Ari Alex , Bertola Laiss , Mata Fabiana Araújo Figueiredo da , Miguel Andrew Christopher Claro , Oliveira Junior Haliton Alves de , Ferri Cleusa Pinheiro 
Published: November 2024

Abstract
Background Several studies have sought to investigate the trajectory of scholarly publications on dementia. Yet, there has been limited attention to contributions from Latin America.
Objective To provide a comprehensive overview of the literature output on dementia in Brazil.
Methods We conducted a Scopus-based literature search (2010–2021) for publications by authors affiliated with Brazil.
Results Out of 5,534 reports, 2,528 met the inclusion criteria. The annual growth rate of publications on dementia (9.9%, SD = 15.5) closely paralleled that of general health-related literature (6.7%, SD = 4.9). Most publications were categorized into the areas of diagnosis (33.4%) and disease mechanisms, origins, and models (32.7%). Epidemiological studies (4%), clinical trials (1%), and economic analyses (0.3%) are scarce. Based on the first affiliation of Brazil-affiliated authors, 89.3% of dementia output stemmed from Southeast (68.4%) and South (20.9%) of Brazil. Nonetheless, the state of São Paulo alone accounted for 41.1%, contributing to 60.1% of the Southeast. First and second authorships were predominantly held by female researchers, whereas male researchers occupied most of the second-to-last and last authorships. Overall, 1,812 (71.7%) were published in 346 foreign journals and 716 (28.3%) in 43 Brazilian journals. Notably, nearly half of the reports published in Brazil are concentrated in two journals: Dementia e Neuropsychologia (31.4%) and Arquivos de Neuro-Psiquiatria (15.2%).
Conclusion There is a pressing need for more studies in dementia epidemiology and economic cost, in addition to more research across all Brazilian regions.