bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hypoxia-induced inhibin promotes tumor growth and vascular permeability in ovarian cancers
Authors: Horst Ben , Pradhan Shrikant , Chaudhary Roohi , Listik Eduardo , Quintero-Macias Liz , Choi Alex Seok , Southard Michael , Liu Yingmiao , Whitaker Regina , Hempel Nadine , Berchuck Andrew , Nixon Andrew B. , Lee Nam Y. , Henis Yoav I. , Mythreye Karthikeyan 
Published: June 2022

AbstractHypoxia, a driver of tumor growth and metastasis, regulates angiogenic pathways that are targets for vessel normalization and ovarian cancer management. However, toxicities and resistance to anti-angiogenics can limit their use making identification of new targets vital. Inhibin, a heteromeric TGFβ ligand, is a contextual regulator of tumor progression acting as an early tumor suppressor, yet also an established biomarker for ovarian cancers. Here, we find that hypoxia increases inhibin levels in ovarian cancer cell lines, xenograft tumors, and patients. Inhibin is regulated primarily through HIF-1, shifting the balance under hypoxia from activins to inhibins. Hypoxia regulated inhibin promotes tumor growth, endothelial cell invasion and permeability. Targeting inhibin in vivo through knockdown and anti-inhibin strategies robustly reduces permeability in vivo and alters the balance of pro and anti-angiogenic mechanisms resulting in vascular normalization. Mechanistically, inhibin regulates permeability by increasing VE-cadherin internalization via ACVRL1 and CD105, a receptor complex that we find to be stabilized directly by inhibin. Our findings demonstrate direct roles for inhibins in vascular normalization via TGF-β receptors providing new insights into the therapeutic significance of inhibins as a strategy to normalize the tumor vasculature in ovarian cancer.
An anomalous warm-season trans-Pacific atmospheric river linked to the 2021 western North America heatwave
Authors: Mo Ruping , Lin Hai , Vitart Frédéric 
Published: June 2022

AbstractAtmospheric rivers are long and narrow bands of enhanced water vapour transport concentrated in the lower troposphere. Many studies have documented the important role of cold-season atmospheric rivers in producing heavy precipitation and extreme flooding events. Relatively little research has been conducted on the warm-season atmospheric rivers and their impacts on heatwave events. Here we show an anomalous warm-season atmospheric river moving across the North Pacific and its interaction with the extreme western North American heatwave in late June 2021. This system transported moisture and heat energy from Southeast Asia to the northeast Pacific. Its landfall over Southeast Alaska resulted in substantial spillover of moisture and sensible heat beyond the Pacific Coast Ranges. We provide evidence indicating that the sensible heat flux convergence and the short-lived greenhouse effect of the trapped moisture could form a positive feedback mechanism leading to the northward expansion of the heatwave event across western Canada.
Study on the time and duration of restart on the AC/DC interconnected system based on dynamic energy
Authors: Ma Jing , Zhang Jiaming , Du Wangyang , Shao Hongfei , Huang Qing , Li Rui , Hua Feng , Wang Jianbo , Shen Yaqi , Cheng Peng 
Published: June 2022

AbstractConcerning the difficulty in determining the restart strategy for AC/DC interconnected systems, this paper proposes a method of calculating the optimal restart strategy for AC/DC interconnected systems based on dynamic energy. First, a dynamic energy function that characterises the stability of system is constructed. Then, the analytical expressions of the dynamic energy function are calculated separately for the deionisation stage, the restart stage, and the alpha retard stage of the entire restart process. On this basis, the variation rate of the system dynamic energy is defined as the energy accumulation rate, which quantifies the accumulation or consumption of dynamic energy during the restart process, and facilitates detailed analysis of the effects of the restart time and restart duration on the stability of system. Then, a method to calculate the optimal restart time is proposed with the goal of minimising the dynamic energy accumulated in the system. Finally, hardware‐in‐the‐loop tests are carried out on the RT‐LAB platform for simulation verification. The experimental results show that the dynamic energy function constructed in this paper can reflect the stability of system. Using the proposed optimal restart strategy can reduce the accumulation of dynamic energy and improve the stability of system.
Lumbar Spine Posttherapeutic Imaging
Authors: Lacroix Maxime , Ferrero Emmanuelle , Burns Robert , Guigui Pierre , Clement Olivier , Feydy Antoine 
Published: June 2022

AbstractManagement of patients after lumbar spine surgery or interventional radiology can be complex, and postoperative imaging patterns are often poorly understood by nonspecialized radiologists. This article focuses on postoperative imaging features of the lumbar spine in five clinical settings (with corresponding interventions): vertebral osteoporotic fractures (percutaneous vertebroplasty and vertebral augmentation), lumbar disk herniation (surgical diskectomy and percutaneous interventional radiology), lumbar spinal stenosis (surgical decompression), lumbar spondylolisthesis (surgical decompression and fusion), and degenerative scoliosis (techniques of osteotomies).For each intervention, we discuss imaging indications, depending if the patient is asymptomatic or if there are suspected complications, describe normal and pathologic imaging features, and present key points.
Open Source Digital Health Software for Resilient, Accessible and Equitable Healthcare Systems
Authors: Paton Chris , Braa Jørn , Muhire Andrew , Marco-Ruiz Luis , Kobayashi Shinji , Fraser Hamish , Falcón Luis , Marcelo Alvin 
Published: June 2022

Objective: To assess the impact of open-source projects on making healthcare systems more resilient, accessible and equitable.
Methods: In response to the International Medical Informatics Association (IMIA) call for working group contributions for the IMIA Yearbook, the Open Source Working Group (OSWG) conducted a rapid review of current open source digital health projects to illustrate how they can contribute to making healthcare systems more resilient, accessible and equitable. We sought case studies from the OSWG membership to illustrate these three concepts and how open source software (OSS) addresses these concepts in the real world. These case studies are discussed against the background of literature identified through the rapid review.
Results: To illustrate the concept of resilience, we present case studies from the adoption of District Health Information Software version 2 (DHIS2) for managing the Covid pandemic in Rwanda, and the adoption of the OpenEHR open Health IT standard. To illustrate accessibility, we show how open source design systems for user interface design have been used by governments to ensure accessibility of digital health services for patients and healthy individuals, and by the OpenMRS community to standardise their user interface design. Finally, to illustrate the concept of equity, we describe the OpenWHO framework and two open source digital health projects, GNU Health and openIMIS, that both aim to reduce health inequities through the use of open source digital health software.
Conclusion: This review has demonstrated that open source software addresses many of the challenges involved in making healthcare more accessible, equitable and resilient in high and low income settings.
Comparação entre as técnicas de Figueiredo e de reconstrução volar V-Y de Atasoy-Kleinert no tratamento de lesões transversas e oblíquas dorsais de ponta de dedo
Authors: Figueiredo Leandro Azevedo de , Ribeiro Rafael de Souza , Figueiredo Pedro Hemerly , Lima André Luiz Machado , Oliveira Felipe Mantovani de , Júnior Dalton Silva de Oliveira 
Published: June 2022

Resumo
Objetivo Comparar os resultados do tratamento de lesões transversais e oblíquas dorsais de ponta de dedo, tratadas pelas técnicas de reconstrução volar VY de Atasoy-Kleinert e a de Figueiredo.
Método Foram selecionados em um hospital público de referência em trauma de alta complexidade 21 pacientes que sofreram trauma agudo em qualquer dedo da mão com consequentes lesões transversas ou oblíquas dorsais de ponta de dedo. Destes, 10 pacientes foram tratados pela técnica de reconstrução volar V-Y de Atasoy-Kleinert e 11 pela Técnica de Figueiredo (TF) e os resultados estéticos e funcionais foram comparados com base em quatro critérios: evolução de processo infeccioso durante o tratamento; capacidade de discriminação estática e dinâmica entre dois pontos; formação de neuroma; e avaliação estética e funcional do crescimento da unha.
Resultados Nenhum dos grupos estudados desenvolveu neuroma ou processo infeccioso durante o tratamento. Na avaliação clínica geral observou-se que nenhuma variável apresentou associação estatisticamente significativa, ou seja, ambos grupos apresentaram comportamentos semelhantes no pós-operatório com um valor-p > 0,05 na comparação de todos os critérios estudados.
Conclusão O presente estudo concluiu que a Técnica de Figueiredo é tão eficiente quanto a técnica de reconstrução volar V-Y de Atasoy-Kleinert, ambas podem ser utilizadas para o tratamento de lesões transversas e oblíquas dorsais em ponta de dedos, sendo duas técnicas de excelentes resultados para tais lesões.
Dynamic intracellular exchange of nanomaterials’ protein corona perturbs proteostasis and remodels cell metabolism
Authors: Cai Rong , Ren Jiayu , Guo Mengyu , Wei Taotao , Liu Ying , Xie Chunyu , Zhang Peng , Guo Zhiling , Chetwynd Andrew J. , Ke Pu Chun , Lynch Iseult , Chen Chunying 
Published: June 2022

Significance
This study analyzed the dynamic protein corona on the surface of nanoparticles as they traversed from blood to cell lysosomes and escaped from lysosomes to cytoplasm in the target cells. We found with proteomic analysis an abundance of chaperone and glycolysis coronal proteins (i.e., heat shock cognate protein 70, heat shock protein 90, and pyruvate kinase M2 [PKM2]) after escape of the nanoparticles from lysosomes to the cytosol. Alterations of the coronal proteins (e.g., PKM2 and chaperone binding) induced proteostasis collapse, which subsequently led to elevated chaperone-mediated autophagy (CMA) activity in cells. As PKM2 is a key molecule in cell metabolism, we also revealed that PKM2 depletion was causative to CMA-induced cell metabolism disruption from glycolysis to lipid metabolism.
Antibody homotypic interactions are encoded by germline light chain complementarity determining region 2
Authors: Leonard Brandon , Sankar Kannan , Romei Matthew G. , Tse Margaret J. , Do Nina , Yang Yanli , Matochko Wadim L. , Bevers Jack , Bollineni Sundeep , Mukhyala Kiran , Hoi Kam Hon , Lazar Greg A. 
Published: June 2022

SignificanceWeak transient interactions are fundamental to immune responses, enabling avidity-driven triggers for pathogen neutralization and cellular regulation. In contrast to obligate binding interactions that can be directly investigated structurally, the low or transitory abundance of weak interactions make them difficult to identify and characterize. This study leverages receptor agonism systems that are sensitive to oligomerization to investigate transient homotypic interfaces between antibody Fab regions. Our results show that self-association determinants are encoded naturally by the antibody germline through light chain complementarity determining region 2 (CDRL2), and these determinants can be engineered into antibodies to enhance their therapeutic properties. Insights into avidity-driven interactions create opportunities for optimization, and accordingly this work expands the engineering toolbox for antibody-based drugs.
The role of language proficiency, gender, and language dominance in using co-speech gestures to identify referents in narratives by Persian-English bilinguals
Authors: Varnosfadrani Azizollah Dabaghi , Tavakol Mahbube 
Published: June 2022

Abstract
The research reported here examined the effects of language proficiency, gender, and language dominance on gesture use in the tracking of referents by Persian-English bilinguals. 32 EFL learners were divided into two groups of highly proficient and less proficient speakers with equal number of males and females in each group. They were presented with a video extract and asked to recount the story in both L1 and L2. The sessions were video-recorded and the participants’ speech and gestures were transcribed and coded to compare the total number of word tokens and the proportion of maintained references accompanied by three types of gestures. The results offered an effect for proficiency level as proficient learners produced shorter L2 narratives with fewer spoken referents and co-speech gestures. Regarding language dominance, the results were mixed as both males and females produced longer narratives and more gestures in their dominant language (L1), but fewer spoken references, which could be attributed to the pro-drop phenomenon in Persian. The findings also indicated that females’ narratives were longer with more referring expressions and gestures, suggesting that gender can modulate the relationship between language proficiency/dominance and gesticulation. Finally, abstract deictic gestures were observed to be more frequently used by participants.
Near-field properties of spin, Huygens and Janus sources in a narrow sandwiched structure
Authors: Jiang Hanwen , Wang Jianshan , Song Ge , Ren Jie , Yang Xihua , Xu Jingping , Yang Yaping 
Published: June 2022

Abstract
Near-field photonics has attracted extensive attention for its applications from classical to quantum fields, and near-field directionality is the core of many applications. Here, we use a sandwich structure to investigate the effects of waveguide width and source position on the behavior of spin, Huygens and Janus sources. Although the structure is very simple, the conclusions obtained through it can be extended to more complex structures. In a narrow waveguide, the surface modes on each interface can be coupled together to form symmetric and antisymmetric surface plasmon polaritons (SPPs) modes, connecting the evanescent fields at the two interfaces. The width of the waveguide determines the propagation constants of the two SPPs modes and will affect the near-field directional emission of the three sources. We find that the directionality of the three sources in the narrow waveguide is no longer perfect, but related to the position of the source. In addition, we also discuss the possibility of realizing near-field directional emission of three sources with only one electric dipole in different structures by selectively exciting the special SPPs mode. Our result increases the flexibility of controlling the direction of near-field emission of evanescent waves, having potential applications in nanophotonic propagation and multifunctional nanophotonic devices.
Comparative performance of different hyperbolic cosine functions and generalized B functions basis sets for atomic systems
Authors: Coşkun M , Ertürk M 
Published: June 2022

Abstract
Recently, we reported a new set of Bessel type functions, which include the radial part of generalized Bessel functions

r

n
−
1

e

−
ζ

r

μ

for LCAO calculations of atomic systems. In this study, to achieve further improvement of the performance of generalized Bessel type basis sets in the Hartree–Fock-Roothaan calculations, different hyperbolic cosine functions inserted into the radial part of those generalized Bessel functions. For this purpose, three different generalized hyperbolic cosine functions have been used to construct the generalized Bessel type hyperbolic cosine basis sets. The accuracies of generalized Bessel type hyperbolic cosine functions within the minimal basis sets approach are compared to show their superiority to conventional approaches those in the literature. The performance of the presented basis functions is also compared to the numerical Hartree–Fock results. Our virial ratios are in good agreement to within 8-digits of the −2. It is shown that the results obtained by the new basis sets surpass the quality and accuracy of existing Bessel type basis sets.
Fluorescence spectroscopy based characterisation method for aggregation behaviour of rhodamine B (RhB) in water, ethanol, and propanol
Authors: Radiul Seikh Mustafa , Chowdhury Jugal , Goswami Angana , Hazarika Simanta 
Published: June 2022

Abstract
The aggregation behaviour of rhodamine B (RhB) dye has been studied with the change in the concentration of the RhB in water, ethanol and propanol using absorption and laser induced fluorescence spectroscopy. The dimer and monomer fluorescence emissions were observed simultaneously in all the solvents. The monomer to dimer fluorescence intensity ratio

I

M

I

D

, where IM = Monomer fluorescence intensity, ID = Dimer fluorescence intensity, has been calculated and found that at a certain concentration of RhB the magnitude of the ratio is different in different solvents. The ratio

I

M

I

D

becomes equivalent to one for 1.5 gm l−1, 3 gm l−1 and 4.2 gm l−1, (gm l−1: gram litre−1) concentration of RhB in water, ethanol and propanol respectively. This concentration of RhB at which the ratio

I

M

I

D

become unity is proposed as ‘critical concentration’. Above this critical concentration the dimeric fluorescence dominates and below which the monomeric fluorescence dominates. The parameter ‘critical concentration’ provides a condition of equilibrium between the monomer and their aggregates. Moreover, in the solvent for which the magnitude of critical concentration is less the fluorophore molecule aggregates more easily and vice versa. The ratio

I

M

I

D

and critical concentration quantify the aggregation process of the fluorophore in the solvent. Hence, the ‘critical concentration’ value of the fluorophore (RhB) could be assumed as the characteristic parameter to study the aggregation behaviour of the fluorophore in solvents. The described method has the merit of use in the study of lasing ability and the wavelength tunability of the dye laser gain media as well as in the heavy metal sensing technology in water. This method may also be extended for other fluorophores and solvents.
A survey on protein–DNA-binding sites in computational biology
Authors: Zhang Yue , Bao Wenzheng , Cao Yi , Cong Hanhan , Chen Baitong , Chen Yuehui 
Published: June 2022

AbstractTranscription factors are important cellular components of the process of gene expression control. Transcription factor binding sites are locations where transcription factors specifically recognize DNA sequences, targeting gene-specific regions and recruiting transcription factors or chromatin regulators to fine-tune spatiotemporal gene regulation. As the common proteins, transcription factors play a meaningful role in life-related activities. In the face of the increase in the protein sequence, it is urgent how to predict the structure and function of the protein effectively. At present, protein–DNA-binding site prediction methods are based on traditional machine learning algorithms and deep learning algorithms. In the early stage, we usually used the development method based on traditional machine learning algorithm to predict protein–DNA-binding sites. In recent years, methods based on deep learning to predict protein–DNA-binding sites from sequence data have achieved remarkable success. Various statistical and machine learning methods used to predict the function of DNA-binding proteins have been proposed and continuously improved. Existing deep learning methods for predicting protein–DNA-binding sites can be roughly divided into three categories: convolutional neural network (CNN), recursive neural network (RNN) and hybrid neural network based on CNN–RNN. The purpose of this review is to provide an overview of the computational and experimental methods applied in the field of protein–DNA-binding site prediction today. This paper introduces the methods of traditional machine learning and deep learning in protein–DNA-binding site prediction from the aspects of data processing characteristics of existing learning frameworks and differences between basic learning model frameworks. Our existing methods are relatively simple compared with natural language processing, computational vision, computer graphics and other fields. Therefore, the summary of existing protein–DNA-binding site prediction methods will help researchers better understand this field.
A new science of emotion: implications for functional neurological disorder
Authors: Jungilligens Johannes , Paredes-Echeverri Sara , Popkirov Stoyan , Barrett Lisa Feldman , Perez David L 
Published: June 2022

AbstractFunctional neurological disorder reflects impairments in brain networks leading to distressing motor, sensory and/or cognitive symptoms that demonstrate positive clinical signs on examination incongruent with other conditions. A central issue in historical and contemporary formulations of functional neurological disorder has been the mechanistic and aetiological role of emotions. However, the debate has mostly omitted fundamental questions about the nature of emotions in the first place. In this perspective article, we first outline a set of relevant working principles of the brain (e.g. allostasis, predictive processing, interoception and affect), followed by a focused review of the theory of constructed emotion to introduce a new understanding of what emotions are. Building on this theoretical framework, we formulate how altered emotion category construction can be an integral component of the pathophysiology of functional neurological disorder and related functional somatic symptoms. In doing so, we address several themes for the functional neurological disorder field including: (i) how energy regulation and the process of emotion category construction relate to symptom generation, including revisiting alexithymia, ‘panic attack without panic’, dissociation, insecure attachment and the influential role of life experiences; (ii) re-interpret select neurobiological research findings in functional neurological disorder cohorts through the lens of the theory of constructed emotion to illustrate its potential mechanistic relevance; and (iii) discuss therapeutic implications. While we continue to support that functional neurological disorder is mechanistically and aetiologically heterogenous, consideration of how the theory of constructed emotion relates to the generation and maintenance of functional neurological and functional somatic symptoms offers an integrated viewpoint that cuts across neurology, psychiatry, psychology and cognitive-affective neuroscience.
Design and development of self-cleaning PV sliding system
Authors: Gupta Vinay , Sharma Madhu , Pachauri Rupendra , Dinesh Babu K N 
Published: June 2022

Abstract
This study describes the designing steps of the proposed self-cleaning system for the photovoltaic (PV) system and experimentally investigates the effectiveness of the proposed self-cleaning PV sliding system for solar power plants under all Indian climate conditions. To investigate the performance of the proposed self-cleaning PV sliding system, we used three PV panels of 20 W with a sliding structure and another set of three PV panels of 20 W with a traditional (fixed) technique, and recorded the output power for the period of December 2019 to April 2021. The experimental results show that the proposed self-cleaning PV sliding system improved efficiency by 18.3%, 13.3% and 6.4%, respectively, in the summer, winter and post-monsoon seasons when compared to the fixed PV system. The results also revealed that energy consumption was very low when compared to the amount of energy gained. The proposed system not only cleans the PV system, but also protects it from hailstorms. The results of this study show that there is a significant improvement in PV efficiency and thus an increase in electricity production under all climate conditions.