bluuebunny/crossref_metadata_2025_split huggingface dataset:
Piezoelectric sensor voltage variation with different adhesives at elevated temperature
Authors: Sharma Sukesha 
Published: February 2022

Abstract
Piezoelectric sensors and actuators are used in various applications. They have electromechanical properties. Electric voltage is generated when strain is applied on them and vice versa. These patches can be used at cryogenic temperatures as well as elevated temperatures according to different applications. Piezoelectric patches are pasted on the surface of the structure to sense the vibrations. Different adhesives can be used to paste piezoelectric patches on the structure. In this paper, two different Adhesives, Araldite and Cyanoacrylate are used to paste piezoelectric patches. Two test set up are prepared using two different adhesives. Sensor voltage is obtained from piezoelectric patches at reference temperature and at elevated temperatures. Results are obtained, compared and analyzed. Performance of adhesives is compared at reference temperature and at elevated temperature. Where, Cyanoacrylate is found to be better adhesive to paste piezoelectric patches on the surface of structure as compared to Araldite adhesive.
Xylene sensing using Dy-doped NiO nanoparticles
Authors: Shailja  , Singh K J , Sharma S 
Published: February 2022

Abstract
Present work reports structural and xylene sensing properties of Dy-doped NiO nanoparticles. The samples were prepared using co-precipitation method. XRD pattern reveals incorporation of dysprosium into the host lattice of nickel oxide. SEM images shows the change in morphology from micro-rods to nanoparticles on doping nickel oxide with dysprosium. Raman spectrum reveals the presence of nickel vacancies which serve as adsorption sites for xylene and hence, improves the sensing performance of doped NiO. Doping with dysprosium has not only improved the sensitivity but also enhanced its selectivity towards xylene when tested against ammonia, benzene, ethanol and acetone at 200 °C. Dysprosium doped device has shown sensor response of 7.4 and response (recovery) time of 50 s (36 s), respectively. Our dysprosium doped sensor show improvement in the response and recovery times of already reported xylene sensing devices employing nickel oxide.
Study of electronic structure and transport coefficients of GaN-MoS2 heterostructure
Authors: Khosa Gurpal Singh , Kumar Ranjan , Gupta Shuchi 
Published: February 2022

Abstract
The electronic structure and transport properties of GaN-MoS2 heterostructure have been theoretically investigated using first principles calculations. Among the various possibilities of stacking MoS2 over GaN monolayers to form heterostructure, we studied the case in which the S atom is directly placed over the Ga atom. This type of stacking is energetically favourable. The GaN-MoS2 heterostructure preserves the direct band gap nature of MoS2 monolayer i.e. it has direct band gap of 0.97 eV. The valence bands and conduction bands adjoining the fermi level are mostly contributed by N and Mo atoms. To study the performance of both n-type and p-type GaN-MoS2 heterostructure in thermoelectric applications, we investigate the transport coefficients on which the ZT parameter depends. We found that p-type heterostructure has high electrical conductivity as compared to n-type heterostructure. Due to which it has a high magnitude of power factor which is one of the deciding factors in the evaluation of ZT parameter.
Hyperspectral microscopy imaging based on Fourier ptychographic microscopy
Authors: Zhang Peiwei , Zhao Jufeng , Lin Binbin , Wu Xiaohui , Cui Guangmang 
Published: February 2022

Abstract
Hyperspectral resolution, high spatial resolution, and a wide field of view (FOV) are the targets of optical spectral microscopy imaging. However, hyperspectral microscopy imaging technology cannot provide a wide FOV and a high spatial resolution at the same time. Fourier ptychographic microscopy (FPM) is a novel microscopy imaging technique that uses LEDs at varying angles to capture a series of low-spatial-resolution images that are used to recover images that have both high spatial resolution and a wide FOV. Since FPM cannot obtain the spectral resolution of the sample, in this paper, an efficient strategy based on the FPM system is proposed for the reconstruction of hyperspectral images. First, the traditional FPM setup is optimized, with a new experimental setup based on halogen lamp illumination and a narrow band-pass filter to capture a series of low-spatial-resolution images at different wavelengths. Second, a new algorithm, combining hyperspectral resolution imaging using interpolation compensation and a phase retrieval algorithm, is proposed to reconstruct high-spatial-resolution, wide FOV, and hyperspectral resolution images. Finally, we verified the feasibility and effectiveness of our experimental setup and algorithm by both simulation and experiment. The results show that our method can not only reconstruct high-spatial-resolution and wide FOV images, but also has a spectral resolution of 5 nm.
Nucleation and growth of discontinuous precipitates in Cu–Ag alloys
Authors: An Bailing , Xin Yan , Niu Rongmei , Xiang Zhaolong , Wang Engang , Han Ke 
Published: February 2022

Abstract
To study discontinuous precipitation, which is an important method for strengthening materials, we observed the nucleation and growth of discontinuous precipitates in Cu–Ag alloys using electron backscatter diffraction and scanning transmission electron microscopy. We found that discontinuous precipitation always started with Ag precipitates, which nucleated on Cu grain boundaries. These precipitates then each took the shape of a large, abutted cone that shared a semi-coherent interface with one of the Cu grains, topped by a small spherical cap that shared an incoherent interface with the Cu grain on the opposite side of the boundary. This formation created a difference between the levels of interface energy on each side of boundary. We assume that this difference and boundary curvature together generates the driving force necessary to push grain boundary migration, thus triggering discontinuous precipitation. Because of grain boundary migration, Ag solute was consumed at one side of the grain, which causes a solute difference. The difference produces mainly driving force, pushing the boundaries to migrate forward.
The Effect of Sr composition on the microstructure and mechanical properties of Al-Si-Zn filler for the brazing of AA6061
Authors: Wang Guangyu , Ma Rui , Wan Mingpan , Zhao Fei 
Published: February 2022

Abstract
The microstructure and properties of Al-Si-Zn-Sr filler metals and brazed 6061-T6 aluminum alloy after heat treatment were studied, and the adsorption energy of Sr element on Si (111) surface was calculated. After Sr was added to Al-6Si-40Zn filler metal, its melting range remained unchanged, and the spreading wettability was improved. The microstructure mainly includes α-Al solid solution, fibrous Si, and η-Zn solid solution. Generally speaking, increasing Sr content could improve the average microhardness of brazed joints. The shear strength of the brazed joint containing Al-6Si-40Zn-0.8Sr filler metal was 134.23 MPa, which was 39.3% higher than that of the brazed joint without Sr The calculation results of adsorption energy showed that the surface of Si (111) mainly adsorbed Sr at the vacancy, which changed the growth mode of Si.
Approximate functionals in hypercomplex Kohn–Sham theory
Authors: Su Neil Qiang 
Published: February 2022

Abstract
The recently developed hypercomplex Kohn–Sham (HCKS) theory shows great potential to overcome the static/strong correlation issue in density functional theory (DFT), which highlights the necessity of further exploration of the HCKS theory toward better handling many-electron problem. This work mainly focuses on approximate functionals in HCKS, seeking to gain more insights into functional development from the comparison between Kohn–Sham (KS) DFT and HCKS. Unlike KS-DFT, HCKS can handle different correlation effects by resorting to a set of auxiliary orbitals with dynamically varying fractional occupations. These orbitals of hierarchical correlation (HCOs) thus contain distinct electronic information for better considering the exchange–correlation effect in HCKS. The test on the triplet–singlet gaps shows that HCKS has much better performance as compared to KS-DFT in use of the same functionals, and the systematic errors of semi-local functionals can be effectively reduced by including appropriate amount of the HCO-dependent Hartree–Fock exchange. In contrast, KS-DFT shows large systematic errors, which are hardly reduced by the functionals tested in this work. Therefore, HCKS creates new channels to address to the strong correlation issue, and further development of functionals that depend on HCOs and their occupations is necessary for the treatment of strongly correlated systems.
Isolation and characterization of antioxidative monoterpenes from Cynanchum atratum roots
Authors: Shu Penghua , Yang Yuan , Zhang Hui , Li Nianci , Liu Guangwei , Zhang Jialong , Zhao Qiuyue , Wei Xialan , Yi Wenhan , Sun Na , Xiao Fugang 
Published: February 2022

ABSTRACT
One novel monoterpene rhamnoside (1) and 7 known monoterpenes (2-8) were isolated from the ethanol extract of Cynanchum atratum for the first time. Their structures were identified by comprehensive spectroscopic data analysis such as nuclear magnetic resonance, high-resolution electrospray ionization mass spectra, optical rotatory dispersion, and acid hydrolysis. In the subsequent antioxidant assay, compound 8 exhibited obvious 2,2-diphenyl-2-picrylhydrazyl hydrate radical scavenging activity.
monaLisa: an R/Bioconductor package for identifying regulatory motifs
Authors: Machlab Dania , Burger Lukas , Soneson Charlotte , Rijli Filippo M , Schübeler Dirk , Stadler Michael B 
Published: February 2022

AbstractSummaryProteins binding to specific nucleotide sequences, such as transcription factors, play key roles in the regulation of gene expression. Their binding can be indirectly observed via associated changes in transcription, chromatin accessibility, DNA methylation and histone modifications. Identifying candidate factors that are responsible for these observed experimental changes is critical to understand the underlying biological processes. Here, we present monaLisa, an R/Bioconductor package that implements approaches to identify relevant transcription factors from experimental data. The package can be easily integrated with other Bioconductor packages and enables seamless motif analyses without any software dependencies outside of R.Availability and implementationmonaLisa is implemented in R and available on Bioconductor at https://bioconductor.org/packages/monaLisa with the development version hosted on GitHub at https://github.com/fmicompbio/monaLisa.Supplementary informationSupplementary data are available at Bioinformatics online.
POIBM: batch correction of heterogeneous RNA-seq datasets through latent sample matching
Authors: Holmström Susanna , Hautaniemi Sampsa , Häkkinen Antti 
Published: February 2022

AbstractMotivationRNA sequencing and other high-throughput technologies are essential in understanding complex diseases, such as cancers, but are susceptible to technical factors manifesting as patterns in the measurements. These batch patterns hinder the discovery of biologically relevant patterns. Unbiased batch effect correction in heterogeneous populations currently requires special experimental designs or phenotypic labels, which are not readily available for patient samples in existing datasets.ResultsWe present POIBM, an RNA-seq batch correction method, which learns virtual reference samples directly from the data. We use a breast cancer cell line dataset to show that POIBM exceeds or matches the performance of previous methods, while being blind to the phenotypes. Further, we analyze The Cancer Genome Atlas RNA-seq data to show that batch effects plague many cancer types; POIBM effectively discovers the true replicates in stomach adenocarcinoma; and integrating the corrected data in endometrial carcinoma improves cancer subtyping.Availability and implementationhttps://bitbucket.org/anthakki/poibm/ (archived at https://doi.org/10.5281/zenodo.6122436).Supplementary informationSupplementary data are available at Bioinformatics online.
StAmP-DB: a platform for structures of polymorphic amyloid fibril cores
Authors: Louros Nikolaos , van der Kant Rob , Schymkowitz Joost , Rousseau Frederic 
Published: February 2022

AbstractSummaryAmyloid polymorphism is emerging as a key property that is differentially linked to various conformational diseases, including major neurodegenerative disorders, but also as a feature that potentially relates to complex structural mechanisms mediating transmissibility barriers and selective vulnerability of amyloids. In response to the rapidly expanding number of amyloid fibril structures formed by full-length proteins, we here have developed StAmP-DB, a public database that supports the curation and cross-comparison of experimentally determined three-dimensional amyloid polymorph structures.Availability and implementationStAmP-DB is freely accessible for queries and downloads at https://stamp.switchlab.org.
Particle filter efficiency under limited communication
Authors: Sen Deborshee 
Published: February 2022

Summary
Sequential Monte Carlo methods are typically not straightforward to implement on parallel architectures. This is because standard resampling schemes involve communication between all particles. The $$\alpha$$-sequential Monte Carlo method was proposed recently as a potential solution to this that limits communication between particles. This limited communication is controlled through a sequence of stochastic matrices known as $$\alpha$$ matrices. We study the influence of the communication structure on the convergence and stability properties of the resulting algorithms. In particular, we quantitatively show that the mixing properties of the $$\alpha$$ matrices play an important role in the stability properties of the algorithm. Moreover, we prove that one can ensure good mixing properties by using randomized communication structures where each particle only communicates with a few neighbouring particles. The resulting algorithms converge at the usual Monte Carlo rate. This leads to efficient versions of distributed sequential Monte Carlo.
Recurrent evolutionary changes in pollen shape and ornamentation of the vataireoid clade (Papilionoideae, Fabaceae), an early-branching lineage of florally divergent genera
Authors: De Oliveira Débora Cavalcante , Da Costa Moreira André Luiz , Casas Restrepo Luis Carlos , De Lima Haroldo Cavalcante , De Assis Ribeiro Dos Santos Francisco , Cardoso Domingos 
Published: February 2022

Abstract
Pollen traits have clarified the classification and understanding of the evolutionary history of different groups of angiosperms, due to their wide morphological diversity. To increase our knowledge on the morphological evolution of the vataireoid clade (Fabaceae, Papilionoideae), a lineage comprising 30 species of Neotropical trees in the genera Luetzelburgia, Sweetia, Vatairea and Vataireopsis, pollen materials of 26 species were acetolysed and analysed using light and scanning electron microscopy. Characters were defined to reconstruct the pollen evolution in each of the ancestral nodes of the phylogenetic tree of the clade using Bayesian stochastic character mapping. All vataireoid genera have relatively variable pollen morphology, ranging from small to medium and subtriangular to circular amb, and their aperture margo may be present or absent. The exine ornamentation varies greatly across the clade: perforate (L. praecox and S. fruticosa); rugulate (L. andradelimae); rugulate-foveolate-perforate (Vatairea guianensis and Vatairea heteroptera); reticulate (Vataireopsis araroba) and microreticulate in most species. Analyses of ancestral character reconstruction revealed multiple events of independent evolution in all pollen traits during the diversification of the vataireoid clade in the last 16 Myr, since the Miocene. Just as evolutionary transitions in floral architecture were so recurrent in the vataireoid clade, pollen evolution was relatively labile and exhibited little phylogenetic conservatism in shape or ornamentation.
Association Between Statin Use and Daptomycin-related Musculoskeletal Adverse Events: A Mixed Approach Combining a Meta-analysis and a Disproportionality Analysis
Authors: Chuma Masayuki , Nakamoto Aki , Bando Takashi , Niimura Takahiro , Kondo Yutaka , Hamano Hirofumi , Okada Naoto , Asada Mizuho , Zamami Yoshito , Takechi Kenshi , Goda Mitsuhiro , Miyata Koji , Yagi Kenta , Yoshioka Toshihiko , Izawa-Ishizawa Yuki , Yanagawa Hiroaki , Tasaki Yoshikazu , Ishizawa Keisuke 
Published: February 2022

Abstract

Background
There is a growing concern about the association between the combined use of daptomycin (DAP) and statins and the occurrence of musculoskeletal adverse events (MAEs), but this remains controversial. This study aimed to clarify the association between statin use and DAP-related MAEs.

Methods
We used a mixed approach that combines 2 methodologies. First, we conducted a meta-analysis to examine the effects of statin use on DAP-related MAEs. Second, we conducted a disproportionality analysis using the US Food and Drug Administration Adverse Events Reporting System (FAERS) to further confirm the results of the meta-analysis and to examine the effect of each type of statin on DAP-related MAEs in a large population.

Results
In the meta-analysis, statin use significantly increased the incidence of DAP-related rhabdomyolysis (odds ratio [OR]: 3.83; 95% confidence interval [CI]: 1.43–10.26) but not DAP-related myopathy (OR: 1.72; 95% CI: .95–3.12). In the disproportionality analysis using the FAERS, the use of statin significantly increased the reporting OR (ROR) for DAP-related myopathy (ROR: 5.69; 95% CI: 4.31–7.51) and rhabdomyolysis (ROR: 5.77; 95% CI: 4.33–7.68). Atorvastatin, rosuvastatin, and simvastatin all increased the incidence of DAP-related myopathy and rhabdomyolysis.

Conclusion
The mixed approach combining a meta-analysis and disproportionality analysis showed that statin use was associated with the occurrence of DAP-related rhabdomyolysis. The appropriate use of statins and DAP should be performed with careful consideration of its safety.
Multiparametric magnetic resonance imaging allows non-invasive functional and structural evaluation of diabetic kidney disease
Authors: Makvandi Kianoush , Hockings Paul D , Jensen Gert , Unnerstall Tim , Leonhardt Henrik , Jarl Lisa V , Englund Camilla , Francis Susan , Sundgren Anna K , Hulthe Johannes , Baid-Agrawal Seema 
Published: February 2022

ABSTRACT

Background
We sought to develop a novel non-contrast multiparametric MRI (mpMRI) protocol employing several complementary techniques in a single scan session for a comprehensive functional and structural evaluation of diabetic kidney disease (DKD).

Methods
In the cross-sectional part of this prospective observational study, 38 subjects ages 18‒79 years with type 2 diabetes and DKD [estimated glomerular filtration rate (eGFR) 15‒60 mL/min/1.73 m2] and 20 age- and gender-matched healthy volunteers (HVs) underwent mpMRI. Repeat mpMRI was performed on 23 DKD subjects and 10 HVs. By measured GFR (mGFR), 2 DKD subjects had GFR stage G2, 16 stage G3 and 20 stage G4/G5. A wide range of MRI biomarkers associated with kidney haemodynamics, oxygenation and macro/microstructure were evaluated. Their optimal sensitivity, specificity and repeatability to differentiate diabetic versus healthy kidneys and categorize various stages of disease as well as their correlation with mGFR/albuminuria was assessed.

Results
Several MRI biomarkers differentiated diabetic from healthy kidneys and distinct GFR stages (G3 versus G4/G5); mean arterial flow (MAF) was the strongest predictor (sensitivity 0.94 and 1.0, specificity 1.00 and 0.69; P = .04 and .004, respectively). Parameters significantly correlating with mGFR were specific measures of kidney haemodynamics, oxygenation, microstructure and macrostructure, with MAF being the strongest univariate predictor (r = 0.92; P &lt; .0001).

Conclusions
A comprehensive and repeatable non-contrast mpMRI protocol was developed that, as a single, non-invasive tool, allows functional and structural assessment of DKD, which has the potential to provide valuable insights into underlying pathophysiology, disease progression and analysis of efficacy/mode of action of therapeutic interventions in DKD.
A case report—facing blues in cardiac amyloidosis: no more a zebra
Authors: Nath Ranjit Kumar , Shrivastava Abhinav 
Published: February 2022

Abstract

Background
Cardiac amyloidosis presentation in an affected individual can be varied. We describe a patient who had the entire spectrum of involvement in his life time. Initially presented as an ischaemic heart disease and later developed complete heart block (CHB) and frank cardiomyopathy. Increased load of amyloid caused lead-tissue interface disruption resulting in high pacing thresholds with difficulty in capture during permanent pacemaker implantation requiring a novel strategy of management.

Case summary
A 65-year-old male presented with two episodes of syncope with a history of gradually progressive dyspnoea of 6 months duration along with lower limb swelling for last 1–2 months. He had a history of drug-eluting stent implantation for stable ischaemic heart disease 4 years back. Now he presented with a CHB and a transthoracic echocardiogram hinted towards a restrictive physiology and an infiltrative disease. Cardiac magnetic resonance imaging could not be done in view of the incompatible temporary pacemaker on which the patient was dependent. Abdominal fat pad biopsy was positive for amyloid. He was taken up for permanent pacemaker implantation; however, multiple attempts could not achieve desired threshold and capture amplitudes in the right ventricular apex, septum, or outflow region. The lead was placed in the coronary sinus and a stent was placed proximally to trap the lead behind the deployed stent. Threshold and impedance were satisfactory. Cardiac biopsy subsequently confirmed aTTR amyloidosis.

Discussion
The patient had an ischaemic heart disease, conduction disease, and cardiomyopathy as the manifestation of cardiac amyloidosis. While two-dimensional echo is the screening tool of choice, cardiac biopsy remains the gold standard of diagnosis for amyloidosis. Cardiac pacing comes with its own unique set of challenges in patients with advanced amyloid cardiomyopathy and have to be overcome for symptomatic benefit of the patient. Coronary sinus may be utilized in such patients for single-site ventricular pacing and placing a stent may help to anchor the lead when placed within it.