bluuebunny/crossref_metadata_2025_split huggingface dataset:
A structural homologue of the plant receptor D14 mediates responses to strigolactones in the fungal phytopathogen Cryphonectria parasitica
Authors: Fiorilli Valentina , Forgia Marco , de Saint Germain Alexandre , D’Arrigo Giulia , Cornu David , Le Bris Philippe , Al‐Babili Salim , Cardinale Francesca , Prandi Cristina , Spyrakis Francesca , Boyer François‐Didier , Turina Massimo , Lanfranco Luisa 
Published: February 2022

Summary

Strigolactones (SLs) are plant hormones and important signalling molecules required to promote arbuscular mycorrhizal (AM) symbiosis. While in plants an α/β‐hydrolase, DWARF14 (D14), was shown to act as a receptor that binds and cleaves SLs, the fungal receptor for SLs is unknown.

Since AM fungi are currently not genetically tractable, in this study, we used the fungal pathogen Cryphonectria parasitica, for which gene deletion protocols exist, as a model, as we have previously shown that it responds to SLs. By means of computational, biochemical and genetic analyses, we identified a D14 structural homologue, CpD14.

Molecular homology modelling and docking support the prediction that CpD14 interacts with and hydrolyses SLs. The recombinant CpD14 protein shows α/β hydrolytic activity in vitro against the SLs synthetic analogue GR24; its enzymatic activity requires an intact Ser/His/Asp catalytic triad. CpD14 expression in the d14‐1 loss‐of‐function Arabidopsis thaliana line did not rescue the plant mutant phenotype. However, gene inactivation by knockout homologous recombination reduced fungal sensitivity to SLs.

These results indicate that CpD14 is involved in SLs responses in C. parasitica and strengthen the role of SLs as multifunctional molecules acting in plant–microbe interactions.
BACE1: More than just a β‐secretase
Authors: Taylor Hannah A. , Przemylska Lena , Clavane Eva M. , Meakin Paul J. 
Published: February 2022

Summaryβ‐site amyloid precursor protein cleaving enzyme‐1 (BACE1) research has historically focused on its actions as the β‐secretase responsible for the production of β‐amyloid beta, observed in Alzheimer's disease. Although the greatest expression of BACE1 is found in the brain, BACE1 mRNA and protein is also found in many cell types including pancreatic β‐cells, adipocytes, hepatocytes, and vascular cells. Pathologically elevated BACE1 expression in these cells has been implicated in the development of metabolic diseases, including type 2 diabetes, obesity, and cardiovascular disease. In this review, we examine key questions surrounding the BACE1 literature, including how is BACE1 regulated and how dysregulation may occur in disease, and understand how BACE1 regulates metabolism via cleavage of a myriad of substrates. The phenotype of the BACE1 knockout mice models, including reduced weight gain, increased energy expenditure, and enhanced leptin signaling, proposes a physiological role of BACE1 in regulating energy metabolism and homeostasis. Taken together with the weight loss observed with BACE1 inhibitors in clinical trials, these data highlight a novel role for BACE1 in regulation of metabolic physiology. Finally, this review aims to examine the possibility that BACE1 inhibitors could provide a innovative treatment for obesity and its comorbidities.
Substituted Methylenation at the 132‐Position of a Chlorophyll‐a Derivative via Mixed Aldol Condensation, Optical Properties of the Synthetic Bacteriochlorophyll‐d Analogs, and Self‐aggregation of Their Zinc Complexes†
Authors: Takeda Toyoho , Kitagawa Yuichi , Tamiaki Hitoshi 
Published: February 2022

AbstractChlorophyll‐a derivatives possessing a substituted methylene group at the 132‐position were prepared by the mixed aldol condensation of methyl 3‐hydroxymethyl‐pyropheophorbide‐a with aldehydes bearing a methyl, p‐nitro/cyanophenyl, or pentafluorophenyl group. Their electronic absorption spectra were dependent on the substituents at the methylene terminal. The Soret bands were broadened by increasing the group electronegativity of the substituents, which was ascribable to the charge transfer from the core chlorin to the peripheral substituent in a molecule. Although their Qy absorption and fluorescence emission bands resembled each other, the emission intensities decreased with an increase in the electronegativity because of intramolecular electron transfer quenching. Some of their zinc complexes self‐aggregated in a less polar organic solvent to give red‐shifted and broadened absorption bands with intense circular dichroism couplets, which were similar to those of bacteriochlorophyll‐c/d aggregates in natural chlorosomes as the main light‐harvesting antennas of green photosynthetic bacteria and their models. The J‐aggregation was suppressed with an enhancement in the size of the 132‐substituents.
Getting Intentional about Intention to Use: A Scoping Review of Person‐Centered Measures of Demand
Authors: Boydell Victoria , Galavotti Christine 
Published: February 2022

AbstractIn recent years, there has been much reflection on the measures used to assess and monitor contraceptive programming outcomes. The meaning and measurement of intention‐to‐use (ITU) contraception, however, has had less attention and research despite its widespread inclusion in many major surveys. This paper takes a deeper look at the meaning and measurement of ITU around contraception. We conducted a scoping review guided by the following questions: What is the existing evidence regarding the measurement of ITU contraception? What definitions and measures are used? What do we know about the validity of these measures? We searched databases and found 112 papers to include in our review and combined this with a review of the survey instruments and behavioral theory. Our review found growing evidence around the construct of ITU in family planning programming and research. However there are inconsistencies in how ITU is defined and measured, and this tends not to be informed by advances in behavioral theory and research. Further work is needed to develop and test measures that capture the complexity of intention, examine how intention differently relates to longer‐range goals compared to more immediate implementation, and demonstrate a positive relationship between ITU and contraceptive use.
Factors associated with stigma related to HIV pre-exposure prophylaxis (PrEP) use among men who have sex with men (MSM)
Authors: Bhatta Dharma N , Hecht Jennifer , Facente Shelley N 
Published: February 2022

BackgroundPre-exposure prophylaxis (PrEP) is a noteworthy scientific development that increases the opportunities for men who have sex with men (MSM) to prevent HIV infection, but stigma is a major barrier to its uptake. This study aims to determine the associations between PrEP-related stigma and individual characteristics among MSM.MethodsSelf-reported cross-sectional data were collected from routine-collected electronic healthcare record data from 4084 MSM receiving PrEP in San Francisco, California, between July 2018 and June 2020. Multivariable logistic regression was performed to determine the associations between individual characteristics and PrEP-related stigma, adjusting for age, race, gender identity, injection history, housing status and mental health status.ResultsPrEP-related stigma was experienced by 9.0% of the participants in our study. PrEP-related stigma was significantly associated with being transgender or gender non-conforming (adjusted OR (AOR): 1.81, 95% CI 1.21 to 2.72), having a history of injection drug use (AOR: 2.02, 95% CI 1.18 to 3.46), being unstably housed (AOR: 1.58, 95% CI 1.11 to 2.26) and having mental health concerns (AOR: 1.99, 95% CI 1.35 to 2.92), after controlling for age, race, gender, injection history, housing status and mental health status.ConclusionParticipants who reported being transgender or gender non-conforming, having a history of injection drug use, or having mental health concerns were more likely to report experiencing PrEP-related stigma. It is crucial to develop culturally appropriate interventions to reduce PrEP-related stigma among populations who are at high risk of HIV infection and may benefit strongly from improved PrEP uptake.
Electrically charged supermassive twin stars
Authors: Gonçalves Victor P. , Lazzari Lucas , Jiménez José C. 
Published: February 2022

AbstractBy assuming that ultra dense hybrid neutron stars are endowed with a distribution of electric charge, we study the corresponding twin star solutions and their properties resulting from a sharp first order transition from confined hadronic to a deconfined quark phase. Two distinct quark matter equations of state with increasing stiffness are considered and the values for the maximum gravitational masses of the hadronic and hybrid twin configurations are obtained for different values of the total electric charge. Interestingly, our calculations indicate that sharp transitions make charged twin hybrid stars more massive than their neutral counterparts, and that the $${2}\,{\hbox {M}_{\odot }}$$2M⊙constraint from PSR J0740+6620 is surpassed for standard values of electric charge and can be considered stable only satisfying$$\partial M/\partial \epsilon _0 > 0$$∂M/∂ϵ0>0. In particular, our charged stellar models reach masses even higher than the unknown compact object measured in the GW190814 event.
Fog-supported Low-latency Monitoring of System Disruptions in Industry 4.0: A Federated Learning Approach
Authors: Brik Bouziane , Messaadia Mourad , Sahnoun M’hammed , Bettayeb Belgacem , Benatia Mohamed Amin 
Published: February 2022

Industry 4.0 is based on machine learning and advanced digital technologies, such as Industrial-Internet-of-Things and Cyber-Physical-Production-Systems, to collect and process data coming from manufacturing systems. Thus, several industrial issues may be further investigated including, flows disruptions, machines’ breakdowns, quality crisis, and so on. In this context, traditional machine learning techniques require the data to be stored and processed in a central entity, e.g., a cloud server. However, these techniques are not suitable for all manufacturing use cases, due to the inaccessibility of private data such as resources’ localization in real time, which cannot be shared at the cloud level as they contain personal and sensitive information. Therefore, there is a critical need to go toward decentralized learning solutions to handle efficiently distributed private sub-datasets of manufacturing systems.
In this article, we design a new monitoring tool for system disruption related to the localization of mobile resources. Our tool may identify mobile resources (human operators) that are in unexpected locations, and hence has a high probability to disturb production planning. To do so, we use federated deep learning, as distributed learning technique, to build a prediction model of resources locations in manufacturing systems. Our prediction model is generated based on resources locations defined in the initial tasks schedule. Thus, system disruptions are detected, in real time, when comparing predicted locations to the real ones, that is collected through the IoT network. In addition, our monitoring tool is deployed at Fog computing level that provides local data processing support with low latency.
Furthermore, once a system disruption is detected, we develop a dynamic rescheduling module that assigns each task to the nearest available resource while improving the execution accuracy and reducing the execution delay. Therefore, we formulate an optimization problem of tasks rescheduling, before solving it using the meta-heuristic Tabu search. The numerical results show the efficiency of our schemes in terms of prediction accuracy when compared to other machine learning algorithms, in addition to their ability to detect and resolve system disruption in real time.
lncExACT1 and DCHS2 Regulate Physiological and Pathological Cardiac Growth
Authors: Li Haobo , Trager Lena E. , Liu Xiaojun , Hastings Margaret H. , Xiao Chunyang , Guerra Justin , To Samantha , Li Guoping , Yeri Ashish , Rodosthenous Rodosthenis , Silverman Michael G. , Das Saumya , Ambardekar Amrut V. , Bristow Michael R. , González-Rosa Juan Manuel , Rosenzweig Anthony 
Published: February 2022

Background:
The heart grows in response to pathological and physiological stimuli. The former often precedes cardiomyocyte loss and heart failure; the latter paradoxically protects the heart and enhances cardiomyogenesis. The mechanisms underlying these differences remain incompletely understood. Although long noncoding RNAs (lncRNAs) are important in cardiac development and disease, less is known about their roles in physiological hypertrophy or cardiomyogenesis.

Methods:
RNA sequencing was applied to hearts from mice after 8 weeks of voluntary exercise-induced physiological hypertrophy and cardiomyogenesis or transverse aortic constriction for 2 or 8 weeks to induce pathological hypertrophy or heart failure. The top lncRNA candidate was overexpressed in hearts with adeno-associated virus vectors and inhibited with antisense locked nucleic acid–GapmeRs to examine its function. Downstream effectors were identified through promoter analyses and binding assays. The functional roles of a novel downstream effector, dachsous cadherin-related 2 (DCHS2), were examined through transgenic overexpression in zebrafish and cardiac-specific deletion in Cas9-knockin mice.

Results:
We identified exercise-regulated cardiac lncRNAs, called lncExACTs. lncExACT1 was evolutionarily conserved and decreased in exercised hearts but increased in human and experimental heart failure. Cardiac lncExACT1 overexpression caused pathological hypertrophy and heart failure; lncExACT1 inhibition induced physiological hypertrophy and cardiomyogenesis, protecting against cardiac fibrosis and dysfunction. lncExACT1 functioned by regulating microRNA-222, calcineurin signaling, and Hippo/Yap1 signaling through DCHS2. Cardiomyocyte DCHS2 overexpression in zebrafish induced pathological hypertrophy and impaired cardiac regeneration, promoting scarring after injury. In contrast, murine DCHS2 deletion induced physiological hypertrophy and promoted cardiomyogenesis.

Conclusions:
These studies identify lncExACT1-DCHS2 as a novel pathway regulating cardiac hypertrophy and cardiomyogenesis. lncExACT1-DCHS2 acts as a master switch toggling the heart between physiological and pathological growth to determine functional outcomes, providing a potentially tractable therapeutic target for harnessing the beneficial effects of exercise.
Inference on Conditional Quantile Processes in Partially Linear Models with Applications to the Impact of Unemployment Benefits
Authors: Qu Zhongjun , Yoon Jungmo , Perron Pierre 
Published: February 2022

Abstract
We propose methods to estimate and make inferences on conditional quantile processes for models with both nonparametric and (locally or globally) linear components. We derive their asymptotic properties, optimal bandwidths, and uniform confidence bands over quantiles allowing for robust bias correction. Our framework covers the sharp regression discontinuity design, which is used to study the effects of unemployment insurance benefits extensions, focusing on heterogeneity over quantiles and covariates. We show economically strong effects in the tails of the outcome distribution. They reduce the within-group inequality, but can be viewed as enhancing between-group inequality, although they help to bridge the gender gap.
Social media fatigue: Causes and concerns
Authors: Sunil Shweta , Sharma Manoj Kumar , Amudhan Senthil , Anand Nitin , John Nisha 
Published: February 2022

Background: Social Media Fatigue (SMF) has seen a significant increase through the COVID-19 pandemic. It refers to high levels of information overload experienced due to extensive usage of social media. Aim: To understand the causes and consequences for mitigating social media fatigue. Methods: PRISMA model was followed, and 20 papers were consolidated from the years 2014 to 2021. Seven papers were screened out due to duplication and exclusion criteria. Results: The studies found implicated the existence of four umbrella factors, like Cognitive Factors, Self and Personality Factors, Environmental Factors and Social Factors. Self and Personality Factors include personal and intrinsic factors that make one susceptible to developing SMF more easily, whereas aspects like increased boredom and information overload include cognitive factors that increase susceptibility to SMF. Environmental and Social Factors include aspects like parenting and social media role conflict respectively. Conclusions: The current findings have implications to promote research to assess the levels of social media fatigue among the individuals and to evolve psychotherapeutic interventions and digital literacy programs to manage social media fatigue among the community.
Epidemiological characteristics and prognostic factors of post-traumatic endophthalmitis
Authors: Bohrani Sefidan Bahram , Tabatabaei Seyed Ali , Soleimani Mohammad , Ahmadraji Aliasghar , Shahriari Mansoor , Daraby Mostafa , Dehghani Sanij Amin , Mehrakizadeh Ali , Ramezani Bahareh , Cheraqpour Kasra 
Published: February 2022

Objective To examine the prognostic factors and features of post-traumatic endophthalmitis. Methods This retrospective study enrolled adult patients (>18 years old) diagnosed with post-traumatic endophthalmitis. Their medical records were reviewed and the patient demographic characteristics, features of injury, management, outcomes and microbiology data were analysed. Results A total of 131 eyes from 131 patients were enrolled. Post-traumatic endophthalmitis was more common in male patients (122 of 131 patients: 93.1%), in those aged 30–44 years (51 of 131 patients: 38.9%), in those injured with a metallic object (86 of 131 patients; 65.6%), in those with a penetrating injury (90 of 131 patients; 68.7%) and those that were injured at work (106 of 131 patients; 80.9%). The mean ± SD time of presentation to the hospital and developing endophthalmitis was 40.60 ± 19.32 h and 5.19 ± 2.55 days, respectively. Of the cultures, 84 of 131 (64.1%) were negative and 22 of 131 (16.8%) were positive for Staphylococcus species. Patients with delayed presentation, an intraocular foreign body, traumatic cataract, retinal detachment, larger wounds, positive smears and cultures and work-related injuries had worse outcomes. Conclusion Immediate presentation to an ophthalmic centre and timely diagnosis and intervention may lead to better outcomes.
Supply chain finance and firm diversification: Evidence from China
Authors: Xu Lei , Li Bin , Ma Chen , Liu Jingyu 
Published: February 2022

We establish a link between supply chain finance (SCF) and the diversification of core firms through a proprietary dataset of listed firms on the Shanghai and Shenzhen Stock Exchanges. Our findings suggest that SCF may significantly reduce diversification with a stronger impact on firms of lower supply chain concentration. Our exploration, from the perspectives of resource occupation, innovation incentive and market power improvement, suggests that SCF may allow the core firms to better focus on their major businesses. Further tests suggest that SCF may significantly reduce the diversification by private and non-manufacturing firms, and those of high executive shareholding. It may also lead to reduced agency costs and enhanced production efficiency with positive economic consequences. Our findings may have such policy implications that SCF may significantly serve the real economy and help sustain high-quality economic growth in the Asian Era. JEL Classification: G11, G32, O12
Spectrum of lower urinary tract symptoms after renal transplant among adult non-urologic anuric patients and their management in a tertiary care center
Authors: Choudhury Sunirmal , Haldar Bikram , Pal Dilip Kumar 
Published: February 2022

Introduction: Lower urinary tract symptoms (LUTS) in a post-transplant patient can lead to several complications including recurrent UTI and deterioration of the graft kidney function. The aim of this study is to investigate the spectrum of LUTS, possible complications resulting from it and its management after renal transplant in pre-transplant anuric patients operated in our tertiary care institute. Materials and methods: It was a retro-prospective observational study done on post-transplant patients operated in this institute from December 2016 to December 2020. Among 165 patients operated during this period 50 male and 21 female patients were finally included in this study. Urinary symptoms were evaluated using the IPSS Questionnaire. Pre and post-surgery Uroflowmetry findings were compared. Urodynamic assessment was done at least 6 months after surgery to determine the cause behind such symptoms. The data was analyzed with the help of standard statistical methods and SPSS 21 software. Results: The most common LUTS among the post renal transplant patients were frequency and nocturia. There was a marked improvement in voided volume and urinary flow in most of the patients. In 11 male and 7 female patients LUTS symptoms were moderate to severe and were seldom associated with recurrent UTI and graft compromise. A cautious approach in these patients helped in early diagnosis of the etiology behind LUTS, which were treated accordingly. Conclusion: LUTS should be carefully evaluated before renal transplantation. Postoperatively moderate to severe LUTS symptoms should be thoroughly investigated so that graft compromise and related complications can be prevented by early intervention.
Considerations of Control Conditions Designs in Randomized Controlled Trials of Exercise Interventions for Cancer Survivors
Authors: Tock Wing Lam , Maheu Christine , Johnson Nathalie A. 
Published: February 2022

Background Given the multifaceted complexity in the nature of randomized controlled trials, identifying an appropriate and comparable control condition is an essential step to ensure methodological rigor, which allows for researchers to draw unambiguous conclusions concerning the efficacy of the intervention being studied. Objectives The objectives of this paper are to (a) review the current literature and analyze the control condition designs in exercise interventions targeted for cancer survivors; (b) provide an overview of the benefits and limitations of various types of control conditions used in exercise interventions; (c) discuss the considerations in the design of control conditions for exercise interventions; and (d) suggest recommendations for control condition design in future trials of behavioral interventions. Results The review of randomized controlled trials of exercise training interventions for cancer survivors revealed that the design of control conditions varied. The most commonly employed design could be classified into two major categories: (a) active controls including attention control, add-on controls, and dismantling controls; and (b) inactive controls including no-treatment, usual care, and wait-list control. Examples from the literature are presented. Four principal considerations concerning control condition design, including appropriateness, credibility, appeal, and comparability, are discussed. Recommendations on how to avoid some major threats to validity and potential biases are also provided. Conclusions Careful planning for the control group design is as important as for the intervention group. Researchers can use the considerations presented in the paper to assist in planning for the most appropriate control condition for their study.