bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of infant outgrowth of cow’s milk allergy in relation to the faecal microbiome and metaproteome
Authors: Hendrickx Diana M. , An Ran , Boeren Sjef , Mutte Sumanth K. ,   PRESTO study team, Chatchatee Pantipa , Nowak-Wegrzyn Anna , Lange Lars , Benjaponpitak Suwat , Chong Kok Wee , Sangsupawanich Pasuree , van Ampting Marleen T. J. , Oude Nijhuis Manon M. , Harthoorn Lucien F. , Langford Jane E. , Knol Jan , Knipping Karen , Garssen Johan , Trendelenburg Valerie , Pesek Robert , Davis Carla M. , Muraro Antonella , Erlewyn-Lajeunesse Mich , Fox Adam T. , Michaelis Louise J. , Beyer Kirsten , Noimark Lee , Stiefel Gary , Schauer Uwe , Hamelmann Eckard , Peroni Diego , Boner Attilio , Lambert Jolanda M. , Belzer Clara 
Published: July 2023

AbstractPrevious studies provide evidence for an association between modifications of the gut microbiota in early life and the development of food allergies. We studied the faecal microbiota composition (16S rRNA gene amplicon sequencing) and faecal microbiome functionality (metaproteomics) in a cohort of 40 infants diagnosed with cow’s milk allergy (CMA) when entering the study. Some of the infants showed outgrowth of CMA after 12 months, while others did not. Faecal microbiota composition of infants was analysed directly after CMA diagnosis (baseline) as well as 6 and 12 months after entering the study. The aim was to gain insight on gut microbiome parameters in relation to outgrowth of CMA. The results of this study show that microbiome differences related to outgrowth of CMA can be mainly identified at the taxonomic level of the 16S rRNA gene, and to a lesser extent at the protein-based microbial taxonomy and functional protein level. At the 16S rRNA gene level outgrowth of CMA is characterized by lower relative abundance ofLachnospiraceaeat baseline and lowerBacteroidaceaeat visit 12 months.
Tunable band gap and enhanced thermoelectric performance of tetragonal Germanene under bias voltage and chemical doping
Authors: Chegel Raad 
Published: July 2023

AbstractThis paper employs the tight-binding model to investigate the thermal properties of tetragonal Germanene (T-Ge) affected by external fields and doping. T-Ge is a two-dimensional material with unique electronic properties, including zero band gap and two Dirac points. The electronic properties of T-Ge can be influenced by bias voltage, which can open its band gap and convert it to a semiconductor due to its buckling structure. The tunable band gap of biased T-Ge, makes it a a promising option for electronic and optoelectronic devices. The band structure of T-Ge is split by the magnetic field, leading to an increases its band edges due to the Zeeman Effect. The findings demonstrate that the thermoelectric properties of T-Ge are highly sensitive to external parameters and modifications of the band structure. The thermal and electrical conductivity of T-Ge increase with increasing temperature due to the rise in thermal energy of charge carriers. The thermoelectric properties of T-Ge decrease with bias voltage due to band gap opening, increase with the magnetic field due to a modifications of the band structure, and increase with chemical potential due to increasing density of charge carriers. By manipulating the band structure of T-Ge through bias voltage and chemical doping, the electrical conductivity can be optimized to achieve higher figure of merit (ZT) and improved thermoelectric performance. The results demonstrate the potential of T-Ge for use in electronic and magnetic devices, opening up new possibilities for further research and development in this field.
Downregulation of miR-182-5p by NFIB promotes NAD+ salvage synthesis in colorectal cancer by targeting NAMPT
Authors: Zhou Li , Liu Hongtao , Chen Zhiji , Chen Siyuan , Lu Junyu , Liu Cao , Liao Siqi , He Song , Chen Shu , Zhou Zhihang 
Published: July 2023

AbstractNuclear factor I B (NFIB) plays an important role in tumors. Our previous study found that NFIB can promote colorectal cancer (CRC) cell proliferation in acidic environments. However, its biological functions and the underlying mechanism in CRC are incompletely understood. Nicotinamide adenine dinucleotide (NAD+) effectively affects cancer cell proliferation. Nevertheless, the regulatory mechanism of NAD+ synthesis in cancer remains to be elucidated. Here we show NFIB promotes CRC proliferation in vitro and growth in vivo, and down-regulation of NFIB can reduce the level of NAD+. In addition, supplementation of NAD+ precursor NMN can recapture cell proliferation in CRC cells with NFIB knockdown. Mechanistically, we identified that NFIB promotes CRC cell proliferation by inhibiting miRNA-182-5p targeting and binding to NAMPT, the NAD+ salvage synthetic rate-limiting enzyme. Our results delineate a combination of high expression of NFIB and NAMPT predicted a clinical poorest prognosis. This work provides potential therapeutic targets for CRC treatment.
Obligate endosymbiosis enables genome expansion during eukaryogenesis
Authors: von der Dunk Samuel H. A. , Hogeweg Paulien , Snel Berend 
Published: July 2023

AbstractThe endosymbiosis of an alpha-proteobacterium that gave rise to mitochondria was one of the key events in eukaryogenesis. One striking outcome of eukaryogenesis was a much more complex cell with a large genome. Despite the existence of many alternative hypotheses for this and other patterns potentially related to endosymbiosis, a constructive evolutionary model in which these hypotheses can be studied is still lacking. Here, we present a theoretical approach in which we focus on the consequences rather than the causes of mitochondrial endosymbiosis. Using a constructive evolutionary model of cell-cycle regulation, we find that genome expansion and genome size asymmetry arise from emergent host–symbiont cell-cycle coordination. We also find that holobionts with large host and small symbiont genomes perform best on long timescales and mimic the outcome of eukaryogenesis. By designing and studying a constructive evolutionary model of obligate endosymbiosis, we uncovered some of the forces that may drive the patterns observed in nature. Our results provide a theoretical foundation for patterns related to mitochondrial endosymbiosis, such as genome size asymmetry, and reveal evolutionary outcomes that have not been considered so far, such as cell-cycle coordination without direct communication.
VBASS enables integration of single cell gene expression data in Bayesian association analysis of rare variants
Authors: Zhong Guojie , Choi Yoolim A. , Shen Yufeng 
Published: July 2023

AbstractRare or de novo variants have substantial contribution to human diseases, but the statistical power to identify risk genes by rare variants is generally low due to rarity of genotype data. Previous studies have shown that risk genes usually have high expression in relevant cell types, although for many conditions the identity of these cell types are largely unknown. Recent efforts in single cell atlas in human and model organisms produced large amount of gene expression data. Here we present VBASS, a Bayesian method that integrates single-cell expression and de novo variant (DNV) data to improve power of disease risk gene discovery. VBASS models disease risk prior as a function of expression profiles, approximated by deep neural networks. It learns the weights of neural networks and parameters of Gamma-Poisson likelihood models of DNV counts jointly from expression and genetics data. On simulated data, VBASS shows proper error rate control and better power than state-of-the-art methods. We applied VBASS to published datasets and identified more candidate risk genes with supports from literature or data from independent cohorts. VBASS can be generalized to integrate other types of functional genomics data in statistical genetics analysis.
A symmetry analysis methodology for general energy conversion systems
Authors: Guo Huan , Xu Yujie , Li Yifu , Huang Lujing , Chen Haisheng 
Published: July 2023

AbstractSymmetry is a useful concept that has guided many scientific developments in fields such as structural engineering, data, and materials science. Here we apply a symmetry analysis method to explore the relationship between symmetry, output work and efficiency in macroscopic energy conversion systems. Brayton cycle is used as an example. A specific potential-displacement-energy (PDE) diagram was established for system symmetry analysis. Results prove that the symmetry of thermodynamic cycles could predict the output work and the efficiency. Stronger rotational symmetry generates more work while reflection symmetry leads to higher efficiency at constant specific heat capacity (cp). The condition for varied cp to keep intermediate maximum-work temperature constant is greatly broaden. A more symmetrical cycle with higher efficiency and larger output work is designed based on the symmetry analysis results. The results could also be applied to other thermodynamic cycles, such as Carnot cycle, which provides insights to design more efficient energy conversion cycles.
A model for person perception from familiar and unfamiliar voices
Authors: Lavan Nadine , McGettigan Carolyn 
Published: July 2023

AbstractWhen hearing a voice, listeners can form a detailed impression of the person behind the voice. Existing models of voice processing focus primarily on one aspect of person perception - identity recognition from familiar voices - but do not account for the perception of other person characteristics (e.g., sex, age, personality traits). Here, we present a broader perspective, proposing that listeners have a common perceptual goal of perceiving who they are hearing, whether the voice is familiar or unfamiliar. We outline and discuss a model - the Person Perception from Voices (PPV) model - that achieves this goal via a common mechanism of recognising a familiar person, persona, or set of speaker characteristics. Our PPV model aims to provide a more comprehensive account of how listeners perceive the person they are listening to, using an approach that incorporates and builds on aspects of the hierarchical frameworks and prototype-based mechanisms proposed within existing models of voice identity recognition.
Cocoa flavanols improve peakVO2 and exercise capacity in a randomized double blinded clinical trial in healthy elderly people
Authors: Gröne Michael , Duse Dragos Andrei , Kramser Nicolas , Ophoff Niklas , Schweers Hendrik , Voß Fabian , Quast Christine , Sansone Roberto , Heiss Christian , Jung Christian , Kelm Malte , Erkens Ralf 
Published: July 2023

Cocoa flavanols improve peakVO2 and exercise capacity in healthy elderly people.
SPRA: Scalable policy‐based regulatory architecture for blockchain transactions
Authors: Yu Chuntang , Zhan Yongzhao , Jing Pujie , Song Xiangmei 
Published: July 2023

AbstractImplementing effective regulation of blockchain transactions has become a research hotspot in recent years. However, most of the current regulatory schemes are customized for specific blockchain applications and lack versatility and scalability. Meanwhile, these schemes cannot guarantee fairness due to the non‐disclosure of regulatory policies and regulatory processes. To address these issues, a scalable policy‐based regulatory architecture (SPRA) is proposed for blockchain transactions that separates regulation and application to provide sufficient scalability. SPRA is a four‐layer model (permission layer, regulation layer, bridge layer, and business layer). A regulatory policy description language (XRPL) is designed to define the regulatory rules and specifications for interoperability between the layers. A decentralized jury mechanism (JuryBC) based on the Shamir threshold secret sharing algorithm and Pedersen commitment is proposed at the regulation layer to avoid regulatory arbitrariness and unfairness. We also construct a secure and efficient regulatory data sharing scheme (RDShare) at the business layer using an attribute‐based encryption algorithm. The key parameters in both JuryBC and RDShare can be specified in the regulatory policy to suit different application scenarios. Finally, the security of the architecture is analyzed and the feasibility and scalability of the architecture through simulation experiments are demonstrated.
A super‐high‐speed PM motor drive for centrifugal air compressor used in fuel cell unmanned aerial vehicle
Authors: Zhang Qian , Yang Dengfeng , Kong Qingyi , Sun Xiuxiu , Hu Zunyan 
Published: July 2023

AbstractThe authors show a PM motor drive with the maximum speed of 170,000 r/min for a super‐high‐speed centrifugal air compressor, which is used in high‐altitude unmanned aerial vehicle (UAV). Conventional turbochargers used in high‐altitude UAV are usually driven by the exhaust of the engine in the fuel cell system; however, the exhaust is composed of vapour and water drop, which can't drive a mechanical turbocharger effectively. In this circumstance, a super‐high‐speed electric centrifugal compressor becomes attractive to boost the air pressure and improve overall efficiency. A wide‐speed‐adaptive sliding mode observer (WSA‐SMO) is adopted to realise the super‐high‐speed sensorless control. A super‐high‐speed motor drive system is developed based on the WSA‐SMO. The current waveform at 170,000 r/min is shown to prove the steady state performance. The acceleration curves and start/stop curves are shown to demonstrate the excellent dynamic performances.
Methodology for scheduling long‐term replacement of aging power transformers, considering risk
Authors: Cerón Piamba Andrés Felipe , Romero Quete Andrés Arturo , Aponte Mayor Guillermo 
Published: July 2023

AbstractThis article presents an optimization methodology to schedule the replacement of power transformers (PT) into a fleet. The objective is the minimization of the summation of the risk indices of the PT. Each PT risk index is calculated from the estimation of the life used and the strategic importance of the unit. The PT life used is estimated as a relationship of the solid insulation polymerization degree, where aging processes due to oxidation, hydrolysis, and pyrolysis are considered from the calendar date when the unit starts its operation until different future scenarios. For the calculation of the PT strategic importance, financial, security, environmental, and network performance aspects are considered. Then, using the optimization model, together with the CAPEX and the available budget over a planning time, a strategy for optimally replacing the critical units is determined. The model was applied for a group of 102 units, demonstrating its applicability and effectiveness. The developed methodology serves to support the manager of these assets in making decisions in the long term.
Varistor coupling method and recommendation parameters for combination wave test
Authors: Zhou Mi , Zhao Weihan , Wang Dongdong , Fan Haoshen , Cai Li , Wang Jianguo , Fan Yadong 
Published: July 2023

AbstractVaristor coupling is recommended by International Telecommunication Union in combination wave test waveforms of surge protective devices (SPD), although the varistor coupling method and recommendation parameters for the combination wave test are not well understood. The waveform influencing characteristics introduced by varistor coupling are studied in detail in this paper. Low‐voltage varistors, with maximum operating voltages ranging from 130 to 750 V, are adopted here in the OrCAD/PSpice environment to analyze the influence of varistor coupling on the output characteristic of the combination wave generator (CWG) in test levels of 0 to 20 kV. Simulation results show that, owing to varistor coupling, the reverse oscillation phenomena will arise in the open‐circuit voltages (OCVs). Also owing to varistor coupling, compared with those generated directly by a CWG, the peak value, the front time, and the tail time for both OCV and short‐circuit current will decrease, whereas the virtual impedance will increase. Moreover, the lower the test level, or the higher the maximum operating voltage of the varistor, the more serious this effect. Experiments have also been conducted here, and our simulation results are found to match the experimental ones well. It seems that, compared with the conventional capacitor coupling, the range of the voltage of power supply networks and the levels of combination wave test by varistor coupling have to be limited to a great extent. Varistor coupling for combination wave test of SPD should be only used in special cases and special test levels where there are no strict waveform limitations.
CO2 emission coupled power generation mix evolution with flexible energy resources
Authors: Li Lingtao , Xiang Yue , Guo Yongtao , Zeng Pingliang , Xu Weiting , Liu Youbo , Liu Junyong 
Published: July 2023

AbstractDecarbonisation is the key to solving the environmental pollution caused by greenhouse gases, and the development pathways of power systems are the focus of the energy transition process. In the absence of direct energy development data, a CO2 emission model of regional power system based on a collaborative method is proposed. An estimable method of policy coordination is used to consider macro factors based on system dynamics and optimal allocation of high renewable permeable power system with a flexible resource combination is established to consider micro factors based on random production simulation. The development pathways of power systems under different national policy objectives are deduced through system dynamics. In the case study of the decarbonisation evolution pathways, two strategies are proposed to deduce the energy structure with high‐penetration renewable energy and flexible resources according to the drive of the CO2 emission target. The optimal development evolution pathways decisions for decarbonisation corresponding to policy targets are simulated and analysed under different scenarios.
So kann es auch gehen
Authors: Koch Marie-Luise , Weber Ruth Anna 
Published: July 2023

ZusammenfassungDer Klinikträger Vitos in Hessen hat in enger Kooperation mit der Steinbeis Hochschule für seine knapp 10 000 Mitarbeiter einen sehr innovativen Weg gefunden, die duale hochschulische Pflegeausbildung als erfolgreichen Akademisierungsprozess im Unternehmen zu implementieren.
Incidence and Long-Term Implications of Type 2 Endoleak after Endovascular Repair of Abdominal Aortic and Aortoiliac Aneurysms
Authors: Monzio-Compagnoni Nicola , Zuccon Gianmarco , Barbosa Fabiane , Rampoldi Antonio Gaetano , Tolva Valerio Stefano 
Published: July 2023

AbstractType 2 endoleak has been proved not to significantly increase the risk of aneurysm rupture. However, it is associated with aneurysm enlargement and may require secondary interventions. Its role has been widely investigated, but a definitive consensus about its management has still not been obtained. We performed a retrospective, single-center observational study that investigates the incidence of type 2 endoleak and its implications in the long-term follow-up in all the patients who underwent endovascular aortic repair (EVAR) for abdominal aortic aneurysm from 2011 to 2016 at our institution. A total of 216 patients who underwent EVAR during the specified time period were enrolled, and 85 of them (39%) developed type 2 endoleak in their follow-up. Thirty-one of the patients who developed type 2 endoleak faced an aneurysm sac growth > 10 mm and required secondary intervention. Only nine of them showed resolution of the leak. In the long-term follow-up, patients who developed type 2 endoleak after EVAR did not show a significantly increased mortality compared with those who did not, but some of them required late open conversion due to aneurysm sac enlargement and some other developed a secondary type 1 endoleak which required correction. The management of type 2 endoleak remains debated, despite consensus exist regarding the need for intervention when a > 10-mm aneurysm sac growth is observed. Further studies are necessary to better define which are the “high-risk” type 2 endoleaks and identify the patients who would benefit more from correction.
A recurring absence gesture in Northern Pastaza Kichwa
Authors: Rice Alexander 
Published: July 2023

AbstractIn this paper I posit the use of a spread-fingered hand torque gesture among speakers of Northern Pastaza Kichwa (Quechuan, Ecuador) as a recurrent gesture conveying the semantic theme ofabsence. The data come from a documentary video corpus collected by multiple researchers. The gesture prototypically takes the form of at least one pair of rapid rotations of the palm (the torque). Fingers can be spread or slightly flexed towards the palm to varying degrees. This gesture is performed in a consistent manner across speakers (and expressions) and co-occurs with a set of speech strings with related semantic meanings. Taking a cognitive linguistic approach, I analyse the form, function, and contexts of this gesture and argue that, taken together, it should be considered a recurrent gesture that indicatesabsence.
Hierarchical team structure and multidimensional localization (or siloing) on networks
Authors: Hébert-Dufresne Laurent , St-Onge Guillaume , Meluso John , Bagrow James , Allard Antoine 
Published: July 2023

Abstract
Knowledge silos emerge when structural properties of organizational interaction networks limit the diffusion of information. These structural barriers are known to take many forms at different scales—hubs in otherwise sparse organizations, large dense teams, or global core-periphery structure—but we lack an understanding of how these different structures interact and shape dynamics. Here we take a first theoretical step in bridging the gap between the mathematical literature on localization of spreading dynamics and the more applied literature on knowledge silos in organizational interaction networks. To do so, we introduce a new model that considers a layered structure of teams to unveil a new form of hierarchical localization (i.e. the localization of information at the top or center of an organization) and study its interplay with known phenomena of mesoscopic localization (i.e. the localization of information in large groups), k-core localization (i.e. around denser subgraphs) and hub localization (i.e. around high degree stars). We also include a complex contagion mechanism by considering a general infection kernel which can depend on hierarchical level (influence), degree (popularity), infectious neighbors (social reinforcement) or team size (importance). This very general model allows us to explore the multifaceted phenomenon of information siloing in complex organizational interaction networks and opens the door to new optimization problems to promote or hinder the emergence of different localization regimes.