bluuebunny/crossref_metadata_2025_split huggingface dataset:
A proof of concept for a deep learning system that can aid embryologists in predicting blastocyst survival after thaw
Authors: Marsh P. , Radif D. , Rajpurkar P. , Wang Z. , Hariton E. , Ribeiro S. , Simbulan R. , Kaing A. , Lin W. , Rajah A. , Rabara F. , Lungren M. , Demirci U. , Ng A. , Rosen M. 
Published: December 2022

AbstractThe ability to understand whether embryos survive the thaw process is crucial to transferring competent embryos that can lead to pregnancy. The objective of this study was to develop a proof of concept deep learning model capable of assisting embryologist assessment of survival of thawed blastocysts prior to embryo transfer. A deep learning model was developed using 652 labeled time-lapse videos of freeze–thaw blastocysts. The model was evaluated against and along embryologists on a test set of 99 freeze–thaw blastocysts, using images obtained at 0.5 h increments from 0 to 3 h post-thaw. The model achieved AUCs of 0.869 (95% CI 0.789, 0.934) and 0.807 (95% CI 0.717, 0.886) and the embryologists achieved average AUCs of 0.829 (95% CI 0.747, 0.896) and 0.850 (95% CI 0.773, 0.908) at 2 h and 3 h, respectively. Combining embryologist predictions with model predictions resulted in a significant increase in AUC of 0.051 (95% CI 0.021, 0.083) at 2 h, and an equivalent increase in AUC of 0.010 (95% CI −0.018, 0.037) at 3 h. This study suggests that a deep learning model can predict in vitro blastocyst survival after thaw in aneuploid embryos. After correlation with clinical outcomes of transferred embryos, this model may help embryologists ascertain which embryos may have failed to survive the thaw process and increase the likelihood of pregnancy by preventing the transfer of non-viable embryos.
Age-associated B cells are long-lasting effectors that impede latent γHV68 reactivation
Authors: Mouat Isobel C. , Shanina Iryna , Horwitz Marc S. 
Published: December 2022

AbstractAge-associated B cells (ABCs; CD19+CD11c+T-bet+) are a unique population that are increased in an array of viral infections, though their role during latent infection is largely unexplored. Here, we use murine gammaherpesvirus 68 (γHV68) to demonstrate that ABCs remain elevated long-term during latent infection and express IFNγ and TNF. Using a recombinant γHV68 that is cleared following acute infection, we show that ABCs persist in the absence of latent virus, though their expression of IFNγ and TNF is decreased. With a fluorescent reporter gene-expressing γHV68 we demonstrate that ABCs are infected with γHV68 at similar rates to other previously activated B cells. We find that mice without ABCs display defects in anti-viral IgG2a/c antibodies and are more susceptible to reactivation of γHV68 following virus challenges that typically do not break latency. Together, these results indicate that ABCs are a persistent effector subset during latent viral infection that impedes γHV68 reactivation.
Plastic adjustments in xylem vessel traits to drought events in three Cedrela species from Peruvian Tropical Andean forests
Authors: Rodríguez-Ramírez Ernesto C. , Ferrero M. Eugenia , Acevedo-Vega Ingrith , Crispin-DelaCruz Doris B. , Ticse-Otarola Ginette , Requena-Rojas Edilson J. 
Published: December 2022

AbstractCedrela species occur within the Tropical montane cloud forest (TMCF) and rainforest in North America (Mexico), Central and South America. We assessed the hypothesis that functional xylem hydraulic architecture might be influenced by specific climatic variations. We investigated the effect of climate on tree-ring width and vessel traits (diameter, vessel density, vulnerability index and hydraulic diameter) of three relict-endemic and threatened Cedrela species (Cedrela fissilis, C. nebulosa and C. angustifolia) inhabiting Peruvian Tropical Andean cloud forests. All Cedrela species showed a significant reduction in radial growth and adjusted vessel trait linked with temperature, precipitation, and evapotranspiration. Ring-width and vessel traits showed adaptation within Cedrela species, crucial to understanding a rough indication of the plant’s ability to withstand drought-induced embolism or cavitation. Our results provide evidence for hydraulic mechanisms that determine specific wood anatomical functionality to climatic variation and drought responses. Therefore, changing the frequency or intensity of future drought events might exceed the adaptive limits of TMCF tree species, resulting in a substantial reduction of hydraulic functionality in Peruvian Cedrela species.
Green synthesis of nanosized N,N'-bis(1-naphthylidene)-4,4'-diaminodiphenylmethane and its metal (II) complexes and evaluation of their biological activity
Authors: Hassan Hammed H. A. M. , Hussein Hend M. , Elhusseiny Amel F. 
Published: December 2022

AbstractCondensation of ecofriendly synthesized 4,4’-methanedianiline with 2-hydroxy-1-naphthaldehyde produced a (1:1) octopus-like Schiff base mixed ligand. Reaction with Co(OAc)2⋅H2O, NiCl2⋅6H2O, Cu(OAc)2⋅H2O and Zn(OAc)2⋅2H2O metals furnished their complexes in high yield and purity. All new structures were fully characterized by various spectroscopic and spectrometric measurements. The complexes exhibited high thermal stability up to 700 °C, leaving nearly 40% of their mass as residues. Antimicrobial screening results exhibited moderate activities towards all studied microbes. Antioxidant screening was concentration dependent, and their activities were in the order Ni(II) > Zn(II) > Cu(II) > Co(II) complexes. The NO inhibitory effect revealed that the nickel complex exhibited the highest activity, whereas the cobalt complex showed the lowest inhibition. All compounds showed a significant lipid peroxidation inhibitory effect against oxidative stress. The complexes significantly diminished the TBARS level, and the nickel complex exhibited the highest inhibition at p < 0.01. Antioxidants stress the oxidative damage induced by iron, indicating that the nickel complex has the highest reducing activity. The inhibitory effect against acetylcholine esterase showed that the copper complex has the highest activity. Membrane stabilization activities clearly indicated that most compounds can improve the integrity of the cells and stability of their membrane, and this result may be related to their antioxidant capacity to protect against cytotoxicity. The nickel complex exhibited a stronger total antioxidant capacity than the other complexes. The biological and antioxidant capacities of these complexes may make them promising candidates in pharmaceutical applications.
Road to entire insulation for resonances from a forced mechanical system
Authors: Zhu Guangnan , Cao Qingjie , Wang Zhenkun , Zhang Yuntian , Chen Yushu , Woo Ko-Choong 
Published: December 2022

AbstractThe effective solution to avoid machinery damage caused by resonance has been perplexing the field of engineering as a core research direction since the resonance phenomenon was discovered by Euler in 1750. Numerous attempts have been performed to reduce the influence of resonance since the earlier of last century, by introducing a nonlinear structure or a closed-loop control system. However, the existed methodologies cannot eliminate resonance completely even extra problems were introduced inevitably, which means the technical choke-point of resonance-free remains unsolved. Here we propose a designable archetype model, which establishes a mapping between the mechanical properties and its structure. A general inverse method for structure construction is proposed based upon the required property for the system with quasi-zero stiffness of any designed finite order and the zero-stiffness properties. It is shown that an ellipse trajectory tracking of the designed model is the sufficient and necessary condition to satisfy the zero-stiffness property. Theoretical analysis shows that no resonant response happens in a zero-stiffness system to the full-band frequency excitation, or equivalently, the system can completely isolate the energy transfer between the load and environment, when the damping ratio approaches zero. Finally, an experimental rig for the prototype structure is built up according to the sufficient and necessary condition of the zero-stiffness system, for which the special dynamic behaviours are verified through experiments of frequency-sweep and random-vibration as well. Experimental results show that the prototype of the initial vibration isolation frequency of zero-stiffness system is much lower than 0.37 Hz, and the vibration attenuation of the proposed model is about 16.86 dB, 45.63 dB, and 112.37 dB at frequencies of 0.37 Hz, 1 Hz, and 10 Hz, respectively. The distinguished geometric structure of the zero-stiffness system leads to a new inspiration for the design of resonance-free in metamaterial unit and the inverse method can even adapt the design for a more targeted applications based on an arbitrary complex dynamic requirement.
Heterogeneous graph construction and HinSAGE learning from electronic medical records
Authors: Cho Ha Na , Ahn Imjin , Gwon Hansle , Kang Hee Jun , Kim Yunha , Seo Hyeram , Choi Heejung , Kim Minkyoung , Han Jiye , Kee Gaeun , Jun Tae Joon , Kim Young-Hak 
Published: December 2022

AbstractGraph representation learning is a method for introducing how to effectively construct and learn patient embeddings using electronic medical records. Adapting the integration will support and advance the previous methods to predict the prognosis of patients in network models. This study aims to address the challenge of implementing a complex and highly heterogeneous dataset, including the following: (1) demonstrating how to build a multi-attributed and multi-relational graph model (2) and applying a downstream disease prediction task of a patient’s prognosis using the HinSAGE algorithm. We present a bipartite graph schema and a graph database construction in detail. The first constructed graph database illustrates a query of a predictive network that provides analytical insights using a graph representation of a patient’s journey. Moreover, we demonstrate an alternative bipartite model where we apply the model to the HinSAGE to perform the link prediction task for predicting the event occurrence. Consequently, the performance evaluation indicated that our heterogeneous graph model was successfully predicted as a baseline model. Overall, our graph database successfully demonstrated efficient real-time query performance and showed HinSAGE implementation to predict cardiovascular disease event outcomes on supervised link prediction learning.
Compressed composite carbon felt as a negative electrode for a zinc–iron flow battery
Authors: Saupsor Janenipa , Sangsawang Jinnawat , Kao-ian Wathanyu , Mahlendorf Falko , Mohamad Ahmad Azmin , Cheacharoen Rongrong , Kheawhom Soorathep , Somwangthanaroj Anongnat 
Published: December 2022

AbstractFlow batteries possess several attractive features including long cycle life, flexible design, ease of scaling up, and high safety. They are considered an excellent choice for large-scale energy storage. Carbon felt (CF) electrodes are commonly used as porous electrodes in flow batteries. In vanadium flow batteries, both active materials and discharge products are in a liquid phase, thus leaving no trace on the electrode surface. However, zinc-based flow batteries involve zinc deposition/dissolution, structure and configuration of the electrode significantly determine stability and performance of the battery. Herein, fabrication of a compressed composite using CF with polyvinylidene fluoride (PVDF) is investigated in a Zn–Fe flow battery (ZFB). Graphene (G) is successfully introduced in order to improve its electrochemical activity towards zinc reactions on the negative side of the ZFB. A compressed composite CF electrode offers more uniform electric field and lower nucleation overpotential (NOP) of zinc than a pristine CF, resulting in higher zinc plating/stripping efficiency. Batteries with modified electrodes are seen to provide lower overpotential. Particularly, the G-PVDF-CF electrode demonstrates maximum discharge capacity of 39.6 mAh cm−2 with coulombic efficiency and energy efficiency over 96% and 61%, respectively. Finally, results lead to increased efficiency and cycling stability for flow batteries.
Offshore tethered platform springing response statistics
Authors: Gaidai Oleg , Xu Jingxiang , Hu Qingsong , Xing Yihan , Zhang Fuxi 
Published: December 2022

AbstractThis paper demonstrates the validity of the Naess–Gadai method for extrapolating extreme value statistics of second-order Volterra series processes through application on a representative model of a deep water small size tension leg platform (TLP), with specific focus on wave sum frequency effects affecting restrained modes: heave, roll and pitch. The wave loading was estimated from a second order diffraction code WAMIT, and the stochastic TLP structural response in a random sea state was calculated exactly using Volterra series representation of the TLP corner vertical displacement, chosen as a response process. Although the wave loading was assumed to be a second order (non-linear) process, the dynamic system was modelled as a linear damped mass-spring system. Next, the mean up-crossing rate based extrapolation method (Naess–Gaidai method) was applied to calculate response levels at low probability levels. Since exact solution was available via Volterra series representation, both predictions were compared in this study, namely the exact Volterra and the approximate one. The latter gave a consistent way to estimate efficiency and accuracy of Naess–Gaidai extrapolation method. Therefore the main goal of this study was to validate Naess–Gaidai extrapolation method by available analytical-based exact solution. Moreover, this paper highlights limitations of mean up-crossing rate based extrapolation methods for the case of narrow band effects, such as clustering, typically included in the springing type of response.
The subcortical and neurochemical organization of the ventral and dorsal attention networks
Authors: Alves Pedro Nascimento , Forkel Stephanie J. , Corbetta Maurizio , Thiebaut de Schotten Michel 
Published: December 2022

AbstractAttention is a core cognitive function that filters and selects behaviourally relevant information in the environment. The cortical mapping of attentional systems identified two segregated networks that mediate stimulus-driven and goal-driven processes, the Ventral and the Dorsal Attention Networks (VAN, DAN). Deep brain electrophysiological recordings, behavioral data from phylogenetic distant species, and observations from human brain pathologies challenge purely corticocentric models. Here, we used advanced methods of functional alignment applied to resting-state functional connectivity analyses to map the subcortical architecture of the Ventral and Dorsal Attention Networks. Our investigations revealed the involvement of the pulvinar, the superior colliculi, the head of caudate nuclei, and a cluster of brainstem nuclei relevant to both networks. These nuclei are densely connected structural network hubs, as revealed by diffusion-weighted imaging tractography. Their projections establish interrelations with the acetylcholine nicotinic receptor as well as dopamine and serotonin transporters, as demonstrated in a spatial correlation analysis with a normative atlas of neurotransmitter systems. This convergence of functional, structural, and neurochemical evidence provides a comprehensive framework to understand the neural basis of attention across different species and brain diseases.
Remodeling of algal photosystem I through phosphorylation
Authors: Younas Muhammad , Scholz Martin , Marchetti Giulia Maria , Hippler Michael 
Published: December 2022

Abstract
Photosystem I (PSI) with its associated light-harvesting system is the most important generator of reducing power in photosynthesis. The PSI core complex is highly conserved, whereas peripheral subunits as well as light-harvesting proteins (LHCI) reveal a dynamic plasticity. Moreover, in green alga, PSI–LHCI complexes are found as monomers, dimers, and state transition complexes, where two LHCII trimers are associated. Herein, we show light-dependent phosphorylation of PSI subunits PsaG and PsaH as well as Lhca6. Potential consequences of the dynamic phosphorylation of PsaG and PsaH are structurally analyzed and discussed in regard to the formation of the monomeric, dimeric, and LHCII-associated PSI–LHCI complexes.
Design of high power density double‐stator permanent magnet synchronous motor
Authors: Guo Liyan , Wang Yangyang , Wang Huimin , Zhang Zhen 
Published: December 2022

AbstractCompared with the traditional permanent magnet synchronous motor (PMSM), the double‐stator permanent magnet synchronous motor (DS‐PMSM) can utilise the internal space adequately and has high power density. In this study, the design method of this kind of motor will be researched. Different rotor magnetic circuit topologies are analysed while keeping the outer diameter of outer stator unchanged, and the rotor magnetic circuit topologies with higher power density are selected. Furthermore, the effects of pole‐arc coefficient and stator split ratio on the power density of the motor are analysed, so a high power density DS‐PMSM can be designed. On this basis, a kind of magnetic pole structure with unequal pole‐arc coefficient is proposed to solve the problem of large torque ripple in DS‐PMSM. Finally, the DS‐PMSM is investigated by the FEA, compared with the traditional single stator PMSM, the average torque of the DS‐PMSM is increased by 62.2%, and the torque ripple is only 3.2%.
Estimation of harmonic impedance and harmonic contribution with harmonic complex power in the absence of harmonic phase angle
Authors: Zheng Hongru , Xu Fangwei , Shu Qin , Wang Chuan , Zhou Quan 
Published: December 2022

AbstractEstimation of harmonic impedances and harmonic contributions is beneficial to harmonic control, and harmonic phasors data is necessary for the existing estimation methods. However, the phase angles of harmonic phasors are not recorded in some of current power quality measuring instruments (such as Fluke 1760 etc.), which makes the existing methods unavailable. To solve this problem, the Norton equivalent circuit model under harmonic frequency is improved and a new model composed of harmonic complex power sources and harmonic impedances is proposed. Based on the model, the harmonic impedance and harmonic contribution can be estimated by using independent component analysis algorithm, and the harmonic phasor data is no longer required. The superiority of the proposed model is verified through simulation and field cases.
Influence of thermal ageing on high‐field polarisation characteristics and conductivity behaviour of submarine polymeric cables insulation
Authors: Dai Xize , Hao Jian , Montanari Gian Carlo , Jian Zheng , Liao Ruijin , Zheng Xinlong 
Published: December 2022

AbstractDiagnosing insulation intrinsic ageing is essential for preventing insulation failure of submarine cables, and in case of failure, helping in any decision about maintenance actions. In this study, a novel aged cable diagnosis approach based on high‐voltage frequency domain spectroscopy (HV‐FDS) with broader frequency width is proposed to analyse the high‐field polarisation characteristics and conductivity behaviour of 500 kV submarine polymeric cables insulation, aiming to support the evaluation of overall insulation ageing. The measurement principle of HV‐FDS and relaxation mechanism are stated, and then focus is on studying the extent of change of polarisation and conduction properties of submarine cables insulation as a function of ageing stress and time. Moreover, the high‐field polarisation characteristics and conductivity behaviour are discussed in‐depth based on the carrier transport and trap properties. Finally, the novel diagnostic indicator based on the high‐field characteristics is extracted to quantify the thermal ageing state of submarine cables insulation. Results show that the high‐field polarisation characteristics and conductivity behaviour seem to become sensitive diagnostic quantities if measured at reasonably high voltage, which are able to reveal mechanisms associated with thermo‐oxidative ageing as that generated in the testing procedure considered in this paper. Sensitivity is considerably higher than that experienced in typical dielectric spectroscopy approaches.
Effect of SiO2 nano film deposited on copper and aluminium electrodes on the power frequency breakdown voltage of SF6 gas
Authors: Zheng Yu , Gong Shengle , Liu Lei , Xiang Zhihui , Lv Yichen , Yu Jianhui , Zhou Wenjun 
Published: December 2022

AbstractIn order to reveal the effect of insulating nano film on the insulation strength of SF6 gas gap, SiO2 nano film was deposited on the electrode surface by the plasma‐enhanced chemical vapour deposition technique. The power frequency breakdown characteristics of SF6 gas under Cu and Al electrodes were obtained before and after coating. The results showed that when the Cu electrode was coated, the breakdown voltage was up to at most 11.5% higher than that of an uncoated Cu electrode in the pressure range of 0.2–0.5 MPa. When the Al electrode was coated, the breakdown voltage of SF6 gas was lower than that of an uncoated one in the pressure range of 0.2–0.5 MPa. The breakdown voltage of SF6 gas under the Cu electrode was slightly lower than that under the Al electrode, but the breakdown voltages under the coated Cu electrode were significantly higher than that under the coated Al electrode. Through SEM tests, it was found that the surface roughness of the electrode decreases after coating, but particles were formed on the surface of the Al electrode. The content of metal fluoride formed on the coated Al electrode under multiple breakdowns was significantly higher than that on the coated Cu electrode. The research results could provide references for improving insulation performance of GIS equipment.
Approaches to Interdisciplinary Care for Infants with Severe Bronchopulmonary Dysplasia: A Survey of the Bronchopulmonary Dysplasia Collaborative
Authors: Cristea A. Ioana , Tracy Michael C. , Bauer Sarah E. , Guaman Milenka Cuevas , Welty Stephen E. , Baker Christopher D. , Bhombal Shazia , Collaco Joseph M. , Courtney Sherry E. , DiGeronimo Robert J. , Eldredge Laurie C. , Gibbs Kathleen , Hayden Lystra P. , Keszler Martin , Lai Khanh , McGrath-Morrow Sharon A. , Moore Paul E. , Rose Rebecca , Sindelar Richard , Truog William E. , Nelin Leif D. , Abman Steven ,   for the BPD Collaborative
Published: December 2022

Objective Bronchopulmonary dysplasia (BPD) remains the most common late morbidity for extremely premature infants. Care of infants with BPD requires a longitudinal approach from the neonatal intensive care unit to ambulatory care though interdisciplinary programs. Current approaches for the development of optimal programs vary among centers.
Study Design We conducted a survey of 18 academic centers that are members of the BPD Collaborative, a consortium of institutions with an established interdisciplinary BPD program. We aimed to characterize the approach, composition, and current practices of the interdisciplinary teams in inpatient and outpatient domains.
Results Variations exist among centers, including composition of the interdisciplinary team, whether the team is the primary or consult service, timing of the first team assessment of the patient, frequency and nature of rounds during the hospitalization, and the timing of ambulatory visits postdischarge.
Conclusion Further studies to assess long-term outcomes are needed to optimize interdisciplinary care of infants with severe BPD.
Key Points