bluuebunny/crossref_metadata_2025_split huggingface dataset:
Organosilane-functionalized graphene oxide-epoxy nanocomposite coating: corrosion performance and self-healing properties
Authors: Madani S M , Sangpour P , Vaezi M R , Ramezanzadeh B , Amani-Tehran M 
Published: July 2022

Abstract
In this study, decorated GO nanosheets with 3-glycidyloxypropyl trimethoxysilane (GPTMS) evaluated with Fourier Transformation Infrared Spectroscopy (FT-IR), x-ray diffraction (XRD), Thermogravimetric analysis (TGA), field emission scanning electron microscopy (FE-SEM) and energy dispersive x-ray spectroscopy (EDAX). The corrosion performance and of self-healing effect of the nanocomposite coating were examined by electrochemical techniques, Salt Spray, Contact Angle and Scratch test. Corrosion resistance was improved by increasing the percentage of GO from 0.1 to 0.2 wt% for both cases without and with silane agent. Higher impedance resistance (1.12 × 1010 Ω.cm2) was obtained for the functionalized one (EPFG) in the early days of immersion. The results of electrochemical and salt spray tests of EPFG nanocomposite coatings were compared epoxy (EP) coatings during various immersion times in 3.5 wt% NaCl solution with and without scratches.Based on our results, after 99 days of immersion, the impedance resistance for EP coating decreased about five orders compared to the EPFG composite coating. The self-healing performance of hydrophobic nanofillers in the matrix of epoxy coating (EPFG) is considered as the reason for increasing resistance after 63 days. The time of reaching corrosive solution to the surface of the steel for the EPFG nanocomposite increased up to 78 days. At all immersion times of the scratched samples, the highest impedance of EPFG composite samples was observed and increasing the impedance of EPFG after 12 days of immersion is related to the formation of a protective film in the metal substrate-coating interface leads to the passive and protective behaviors.
North alignment of multi-rotating systems using a known fixed point
Authors: Yadegar Meysam , Karami Farzaneh 
Published: July 2022

Abstract
This article deals with multi-rotating systems cooperation and their measurements exchange. We investigate the geographic north alignment in rotating systems such as antenna pedestals, positioners, etcEach system contains some angular position sensors that make measurements based on their local zero angles. These measurements cannot be used by other systems. Therefore, the alignment of these rotating systems with respect to the common angle is necessary, such that all measurements are made based on this common angle. In this paper, we introduce a method for the north alignment considering a known fixed point. For this purpose, we propose an efficient approach for finding the angle between the north direction and the zero angle of these systems. Both the spherical and ellipsoidal Earth models are considered. The results accuracy is also analyzed and the effect of each rotation axis not being perpendicular to the Earth surface is investigated. The proposed approach is shown to be extremely accurate while being simple. Finally, the significance of the proposed approach is validated through several experiments.
Experimental and numerical analysis of friction stir welding: a review
Authors: Sen Soumyadeep , Murugesan Jayaprakash 
Published: July 2022

Abstract
Friction stir welding (FSW) is a topic of immense interest to researchers worldwide. The solid-state welding process has gained considerable popularity in the joining industry, replacing the orthodox welding techniques. To understand the necessity of friction stir welding, in this study, literature on experimental studies of friction stir welding on Steel, Aluminium, Magnesium and Titanium alloys have been summarised. Due to the interaction of multiple process parameters and complex geometry in FSW, the experimental study of this type of welding faces a challenge that can be overcome using numerical analysis like the finite element method. However, before initiating the design of the finite element model, a correct set of parameters and modelling methods needs to be made by the user to obtain results of high precision. This paper summarised the results obtained by various numerical modelling methods based on the review of over 100 research articles and suggested a suitable way for particular applications. Results show that ANSYS and ABAQUS are mainly preferred for friction simulation, thermomechanical behaviour, stress and strain analysis, while FLUENT finds its application mainly in material flow simulations. This review paper summarises both the experimental studies and the numerical approach to FSW modelling by distinctly mentioning the merits and demerits in each case. The results summarised would be beneficial for future researchers in the areas of FSW of advanced materials. Also the summarized results would be useful to choose the appropriate experimental parameter and numerical analysis techniques for FSW of various materials.
Analysis of animal-related electric outages using species distribution models and community science data
Authors: Feng Mei-Ling E , Owolabi Olukunle O , Schafer Toryn L J , Sengupta Sanhita , Wang Lan , Matteson David S , Che-Castaldo Judy P , Sunter Deborah A 
Published: July 2022

Abstract
Animal-related outages (AROs) are a prevalent form of outages in electrical distribution systems. Animal-infrastructure interactions vary across species and regions, underlining the need to study the animal-outage relationship in more species and diverse systems. Animal activity has been an indicator of reliability in the electrical grid system by describing temporal patterns in AROs. However, these ARO models have been limited by a lack of available species activity data, instead approximating activity based on seasonal patterns and weather dependency in ARO records and characteristics of broad taxonomic groups, e.g. squirrels. We highlight available resources to fill the ecological data gap limiting joint analyses between ecology and energy sectors. Species distribution modeling (SDM), a common technique to model the distribution of a species across geographic space and time, paired with community science data, provided us with species-specific estimates of activity to analyze alongside spatio-temporal patterns of ARO severity. We use SDM estimates of activity for multiple outage-prone bird species to examine whether diverse animal activity patterns were important predictors of ARO severity by capturing existing variation within animal-outage relationships. Low dimensional representation and single patterns of bird activity were important predictors of ARO severity in Massachusetts. However, both patterns of summer migrants and overwintering species showed some degree of importance, indicating that multiple biological patterns could be considered in future models of grid reliability. Making the best available resources from quantitative ecology known to outside disciplines can allow for more interdisciplinary data analyses between ecological and non-ecological systems. This can result in further opportunities to examine and validate the relationships between animal activity and grid reliability in diverse systems.
All those EPPA classes (strengthenings of the Herwig–Lascar theorem)
Authors: Hubička Jan , Konečný Matěj , Nešetřil Jaroslav 
Published: July 2022

Let

A

\mathbf {A}

be a finite structure. We say that a finite structure

B

\mathbf {B}

is an extension property for partial automorphisms (EPPA)-witness for

A

\mathbf {A}

if it contains

A

\mathbf {A}

as a substructure and every isomorphism of substructures of

A

\mathbf {A}

extends to an automorphism of

B

\mathbf {B}

. Class

C

\mathcal C

of finite structures has the EPPA (also called the Hrushovski property) if it contains an EPPA-witness for every structure in

C

\mathcal C

.

We develop a systematic framework for combinatorial constructions of EPPA-witnesses satisfying additional local properties and thus for proving EPPA for a given class

C

\mathcal C

. Our constructions are elementary, self-contained and lead to a common strengthening of the Herwig–Lascar theorem on EPPA for relational classes defined by forbidden homomorphisms, the Hodkinson–Otto theorem on EPPA for relational free amalgamation classes, its strengthening for unary functions by Evans, Hubička and Nešetřil and their coherent variants by Siniora and Solecki. We also prove an EPPA analogue of the main results of J. Hubička and J. Nešetřil: All those Ramsey classes (Ramsey classes with closures and forbidden homomorphisms), thereby establishing a common framework for proving EPPA and the Ramsey property.

There are numerous applications of our results, we include a solution of a problem related to a class constructed by the Hrushovski predimension construction. We also characterize free amalgamation classes of finite

Γ

L

\Gamma \!_L

-structures with relations and unary functions which have EPPA.
Gene regulatory network inference methodology for genomic and transcriptomic data acquired in genetically related heterozygote individuals
Authors: Pomiès Lise , Brouard Céline , Duruflé Harold , Maigné Élise , Carré Clément , Gody Louise , Trösser Fulya , Katsirelos George , Mangin Brigitte , Langlade Nicolas B , de Givry Simon 
Published: July 2022

AbstractMotivationInferring gene regulatory networks in non-independent genetically related panels is a methodological challenge. This hampers evolutionary and biological studies using heterozygote individuals such as in wild sunflower populations or cultivated hybrids.ResultsFirst, we simulated 100 datasets of gene expressions and polymorphisms, displaying the same gene expression distributions, heterozygosities and heritabilities as in our dataset including 173 genes and 353 genotypes measured in sunflower hybrids. Secondly, we performed a meta-analysis based on six inference methods [least absolute shrinkage and selection operator (Lasso), Random Forests, Bayesian Networks, Markov Random Fields, Ordinary Least Square and fast inference of networks from directed regulation (Findr)] and selected the minimal density networks for better accuracy with 64 edges connecting 79 genes and 0.35 area under precision and recall (AUPR) score on average. We identified that triangles and mutual edges are prone to errors in the inferred networks. Applied on classical datasets without heterozygotes, our strategy produced a 0.65 AUPR score for one dataset of the DREAM5 Systems Genetics Challenge. Finally, we applied our method to an experimental dataset from sunflower hybrids. We successfully inferred a network composed of 105 genes connected by 106 putative regulations with a major connected component.Availability and implementationOur inference methodology dedicated to genomic and transcriptomic data is available at https://forgemia.inra.fr/sunrise/inference_methods.Supplementary informationSupplementary data are available at Bioinformatics online.
British medical bulletin article: resourcing of palliative and end of life care in the UK during the Covid-19 pandemic
Authors: Jackson Mark 
Published: July 2022

Abstract

Introduction
Covid-19 led to a sustained increase in deaths in all four United Kingdom nations, placing strain on the UK’s palliative and end-of-life care sector and raising concerns about the long-term sustainability of the sector’s funding and resourcing model in the face of rising demand for these services in the coming decades.

Sources of data
Published research, Marie Curie, King’s College London Cicely Saunders Institute, Hull York Medical School, University of Hull, University of Cambridge, National Statistics, PubMed, DOI.

Areas of agreement
Care for people at the end of their lives is a core part of the UK’s health and care system with demand set to increase significantly as the UK’s population ages.

Areas of controversy
The UK’s funding model for palliative and end-of-life care, with most care delivered by charitable sector providers and reliant on charitable donations, may be unsustainable in the face of increasing demand.

Growing points
The Covid-19 pandemic led to rapid service innovation in palliative and end-of-life care, and providers should assess which of and how these innovations can be retained after the pandemic.

Areas timely for developing research
Although there has been a rapid growth in knowledge during Covid-19, gaps still remain including: the reasons underlying shifts to deaths at home and the implications for family carers; the education needs of the wider healthcare workforce in palliative care; the impact of specialist palliative care services on the wider health system, including hospital admissions and place of death; and inequalities in the experiences of dying, death and bereavement during Covid-19 among groups such as those from lower socioeconomic groups and BAME communities.
P97/VCP ATPase inhibitors can rescue p97 mutation-linked motor neuron degeneration
Authors: Wang F , Li S , Wang T Y , Lopez G A , Antoshechkin I , Chou T F 
Published: July 2022

Abstract
Mutations in p97/VCP cause two motor neuron diseases: inclusion body myopathy associated with Paget disease of bone and frontotemporal dementia and familial amyotrophic lateral sclerosis. How p97 mutations lead to motor neuron degeneration is, however, unknown. Here we used patient-derived induced pluripotent stem cells to generate p97 mutant motor neurons. We reduced the genetic background variation by comparing mutant motor neurons to its isogenic wild type lines. Proteomic analysis reveals that p97R155H/+ motor neurons upregulate several cell cycle proteins at Day 14, but this effect diminishes by Day 20. Molecular changes linked to delayed cell cycle exit are observed in p97 mutant motor neurons. We also find that two p97 inhibitors, CB-5083 and NMS-873, restore some dysregulated protein levels. In addition, two p97 inhibitors and a food and drug administration-approved cyclin-dependent kinase 4/6 inhibitor, Abemaciclib, can rescue motor neuron death. Overall, we successfully used iPSC-derived motor neurons, identified dysregulated proteome and transcriptome and showed that p97 inhibitors rescue phenotypes in this disease model.
Retrospective Multicenter Study Comparing Infectious and Noninfectious Aortitis
Authors: Carrer Mathilde , Vignals Carole , Berard Xavier , Caradu Caroline , Battut Anne-Sophie , Stenson Katherine , Neau Didier , Lazaro Estibaliz , Mehlen Maxime , Barret Amaury , Nyamankolly Elsa , Lifermann François , Rispal Patrick , Illes Gabriela , Rouanes Nicolas , Caubet Olivier , Poirot-Mazeres Stéphane , Vareil Marc-Olivier , Alleman Laure , Millon Antoine , Huvelle Ugo , Valour Florent , Ferry Tristan , Cazanave Charles , Puges Mathilde 
Published: July 2022

Abstract

Background
Determining the etiology of aortitis is often challenging, in particular to distinguish infectious aortitis (IA) and noninfectious aortitis (NIA). This study aims to describe and compare the clinical, biological, and radiological characteristics of IA and NIA and their outcomes.

Methods
A multicenter retrospective study was performed in 10 French centers, including patients with aortitis between 1 January 2014 and 31 December 2019.

Results
One hundred eighty-three patients were included. Of these, 66 had IA (36.1%); the causative organism was Enterobacterales and streptococci in 18.2% each, Staphylococcus aureus in 13.6%, and Coxiella burnetii in 10.6%. NIA was diagnosed in 117 patients (63.9%), mainly due to vasculitides (49.6%), followed by idiopathic aortitis (39.3%). IA was more frequently associated with aortic aneurysms compared with NIA (78.8% vs 17.6%, P &lt; .001), especially located in the abdominal aorta (69.7% vs 23.1%, P &lt; .001). Crude and adjusted survival were significantly lower in IA compared to NIA (P &lt; .001 and P = .006, respectively). In the IA cohort, high American Society of Anesthesiologists score (hazard ratio [HR], 2.47 [95% confidence interval {CI}, 1.08–5.66]; P = .033) and free aneurysm rupture (HR, 9.54 [95% CI, 1.04–87.11]; P = .046) were significantly associated with mortality after adjusting for age, sex, and Charlson comorbidity score. Effective empiric antimicrobial therapy, initiated before any microbial documentation, was associated with a decreased mortality (HR, 0.23, 95% CI, .08–.71]; P = .01).

Conclusions
IA was complicated by significantly higher mortality rates compared with NIA. An appropriate initial antibiotic therapy appeared as a protective factor in IA.
Scalable Misinformation Mitigation in Social Networks Using Reverse Sampling
Authors: Simpson Michael , Srinivasan Venkatesh , Thomo Alex 
Published: July 2022

Abstract
We consider misinformation propagating through a social network and study the problem of its prevention. The goal is to identify a set of $k$ users that need to be convinced to adopt a limiting campaign so as to minimize the number of people that end up adopting the misinformation. This work presents Reverse Prevention Sampling (RPS), an algorithm that provides a scalable solution to the misinformation mitigation problem. Our theoretical analysis shows that RPS runs in $O((k + l)(n + m)(\frac{1}{1 - \gamma }) \log n / \epsilon ^2 )$ expected time and returns a $(1 - 1/e - \epsilon )$-approximate solution with at least $1 - n^{-l}$ probability (where $\gamma $ is a typically small network parameter and $l$ is a confidence parameter). The time complexity of RPS substantially improves upon the previously best-known algorithms that run in time $\Omega (m n k \cdot POLY(\epsilon ^{-1}))$. We experimentally evaluate RPS on large datasets and show that it outperforms the state-of-the-art solution by several orders of magnitude in terms of running time. This demonstrates that misinformation mitigation can be made practical while still offering strong theoretical guarantees.
Hox genes collaborate with helix–loop–helix factor Grainyhead to promote neuroblast apoptosis along the anterior–posterior axis of the Drosophila larval central nervous system
Authors: Sipani Rashmi , Joshi Rohit 
Published: July 2022

Abstract
Hox genes code for a family of a homeodomain containing transcription factors that use TALE-HD containing factors Pbx/Exd and Meis/Homothorax to specify the development of the anterior–posterior axis of an organism. However, the absence of TALE-HD containing factors from specific tissues emphasizes the need to identify and validate new Hox cofactors. In Drosophila central nervous system, Hox executes segment-specific apoptosis of neural stem cells (neuroblasts) and neurons. In abdominal segments of larval central nervous system, Hox gene Abdominal-A mediates neuroblast apoptosis with the help of Extradenticle and bHLH factor Grainyhead using a 717-bp apoptotic enhancer. In this study, we show that this enhancer is critical for abdominal neuroblast apoptosis and relies on 2 separable set of DNA-binding motifs responsible for its initiation and maintenance. Our results also show that Abdominal-A and Grainyhead interact through their highly conserved DNA-binding domains, and the DNA-binding specificity of Abdominal-A-homeodomain is important for it to interact with Grainyhead and essential for it to execute neuroblast apoptosis in central nervous system. We also establish that Grainyhead is required for Hox-dependent neuroblast apoptosis in Labial and Sex Combs Reduced expressing regions of the central nervous system, and it can physically interact with all the Hox proteins in vitro. Our biochemical and functional data collectively support the idea that Grainyhead can function as a Hox cofactor and help them carry out their in vivo roles during development.
The Caenorhabditis elegans ASPP homolog APE-1 is a junctional protein phosphatase 1 modulator
Authors: Beacham Gwendolyn M , Wei Derek T , Beyrent Erika , Zhang Ying , Zheng Jian , Camacho Mari M K , Florens Laurence , Hollopeter Gunther 
Published: July 2022

Abstract
How serine/threonine phosphatases are spatially and temporally tuned by regulatory subunits is a fundamental question in cell biology. Ankyrin repeat, SH3 domain, proline-rich-region-containing proteins are protein phosphatase 1 catalytic subunit binding partners associated with cardiocutaneous diseases. Ankyrin repeat, SH3 domain, proline-rich-region-containing proteins localize protein phosphatase 1 catalytic subunit to cell–cell junctions, but how ankyrin repeat, SH3 domain, proline-rich-region-containing proteins localize and whether they regulate protein phosphatase 1 catalytic subunit activity in vivo is unclear. Through a Caenorhabditis elegans genetic screen, we find that loss of the ankyrin repeat, SH3 domain, proline-rich-region-containing protein homolog, APE-1, suppresses a pathology called “jowls,” providing us with an in vivo assay for APE-1 activity. Using immunoprecipitations and mass spectrometry, we find that APE-1 binds the protein phosphatase 1 catalytic subunit called GSP-2. Through structure–function analysis, we discover that APE-1’s N-terminal half directs the APE-1–GSP-2 complex to intercellular junctions. Additionally, we isolated mutations in highly conserved residues of APE-1’s ankyrin repeats that suppress jowls yet do not preclude GSP-2 binding, implying APE-1 does more than simply localize GSP-2. Indeed, in vivo reconstitution of APE-1 suggests the ankyrin repeats modulate phosphatase output, a function we find to be conserved among vertebrate homologs.
Factors Influencing Older Persons’ Transitions to Facility-Based Care Settings: A Scoping Review
Authors: Tate Kaitlyn , Bailey Stephanie , Deschenes Sadie , Grabusic Carmen , Cummings Greta G 
Published: July 2022

Abstract

Background and Objectives
Older adults (≥65 years) are living longer with complex health needs and wish to remain at home as their care needs change. We aimed to determine which factors influence older persons’ transitions from home living to facility-based care (FBC) settings such as long-term care facilities or assisted living.

Research Design and Methods
Through a scoping review of 7 databases, we considered all academic literature examining factors influencing transitions from home living to FBC. Only English articles were reviewed. Based on the Meleis’ Health Transition (MHT) model, we categorized findings into: (a) transition conditions; (b) patterns of response; and (c) health services and interventions.

Results
We included 204 unique studies. Age, cognitive/functional impairments, and caregiver burden were the most consistent risk factors for older persons’ transitions to FBC. Caregiver burden was the only consistent risk factor in both quantitative and qualitative literature. Other factors around health service use or nonmedical factors were examined in a small number of studies, or demonstrated mixed or nonsignificant results. Key research gaps relate to transitions to intermediate levels of FBC, research in public health systems, and research employing qualitative and interventional methods.

Discussion and Implications
We expanded the MHT model to capture informal caregivers and their critical role in transitions from home to FBC settings. More research is needed to address practical needs of clients and caregivers while at home, and self-directed care funding models could be expanded. Theory-driven interventional research focusing on caregivers and successful hospital discharge is critically needed.