bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biodegradation of PET by the membrane-anchored PET esterase from the marine bacterium Rhodococcus pyridinivorans P23
Authors: Guo Wenbin , Duan Jingjing , Shi Zhengguang , Yu Xue , Shao Zongze 
Published: October 2023

AbstractEvidence for microbial biodegradation of polyethylene terephthalate (PET) has been reported, but little is known about the PET biodegradation process and molecular mechanism by marine microorganisms. Here, we show the biodegradation of PET by the membrane-anchored PET esterase from the marine bacterium Rhodococcus pyridinivorans P23, elucidate the properties of this enzyme, and propose the PET biodegradation by this strain in biofilm. We identify the PET-degrading enzyme dubbed PET esterase through activity tracking. In addition to depolymerizing PET, it hydrolyzes MHET into TPA under acid conditions. We prove that it is a low and constitutively transcribed, membrane-anchored protein displayed on the cell surface. Furthermore, we also investigate the microbial groups possessing PET esterase coupled with the TPA degradation pathway, mainly in the phyla Proteobacteria and Actinobacteriota. Clarification of the microbial PET biodegradation in the marine environment will contribute to the understanding of bioremediation of marine PET pollution.
Pontederia crassipes inspired bottom overflow for fast and stable drainage
Authors: Gao Can , Zhang Chengqi , Liu Shijie , Yu Cunlong , Jiang Lei , Dong Zhichao 
Published: October 2023

Inspired by the Pontederia crassipes leaf, a bottom overflow-induced fast and stable drainage model is realized. This strategy assists drainage planes to stably and efficiently drain rainwater and dusty rainwater with slight dust residue.
Extending the molecular conjugation of phosphorescence units to accurately modulate ultralong organic room temperature phosphorescence
Authors: Bai Jingjuan , Dai Guangkuo , Jin Huiwen , Ma Jiaxin , Li Zewei , Guan Yan , Chen Mingxing , Ma Zhimin , Ma Zhiyong 
Published: October 2023

Extending molecular conjugation accurately modulates UORTP in a series of phosphorescence units. (Br)PyCz shows red or NIR ultralong phosphorescence as extended conjugation reduces the T1 energy level and results in a phosphorescence redshift. A rigid PVA matrix and heavy Br atoms enhance UORTP.
Vocabulary Selection and Implementation in Vocabulary Interventions for Speech-Generating Devices: A Scoping Review
Authors: Frick Semmler Bethany J. , Bean Allison 
Published: October 2023

Purpose:
Intervention studies contribute to evidence-based practice in speech-language pathology. With individuals who use speech-generating devices (SGDs), it is important to determine what vocabulary to teach during intervention. However, it is unclear whether researchers are reporting the vocabulary selection techniques they used in intervention studies so that they may be replicated in clinical practice. The purpose of this scoping review was to examine the vocabulary selection techniques and other aspects of intervention studies focused on vocabulary acquisition in early symbolic communicators who use SGDs.

Method:
Eight databases (PsycINFO, PubMed, Scopus, Web of Science, Educational Resources Information Center, Linguistics and Language Behavior Abstracts, Educational Research Complete, and CINAHL) were systematically searched for articles that were intervention studies targeting single-word vocabulary acquisition in early symbolic communicators who use SGDs. Data were extracted from each article and charted in Excel.

Results:
We found 5,405 unique articles, 18 of which met the inclusion/exclusion criteria for this review. All of the studies used a single-case design with three participants on average. Approximately half took place in the child's school, and most of the interventions were conducted by members of the research team. Eight studies targeted requesting or manding, six studies used preference assessments to select vocabulary, and seven articles used adults as informants to select the vocabulary.

Conclusions:
There are a limited number of studies investigating vocabulary acquisition in early symbolic communicators who use SGDs. Furthermore, the studies inconsistently used a range of methods that align with best practices for vocabulary selection.
Model‐free adaptive control for ultracapacitor based three‐phase interleaved bidirectional DC–DC converter
Authors: Wang Zhengyao , Wang Dan , Peng Zhouhua , Liu Lu 
Published: October 2023

AbstractThe lack of an accurate mathematical model of non‐linear systems, such as bidirectional DC–DC converters, brings certain limits to design a formidable controller for such systems. This article proposes a model‐free adaptive control (MFAC) approach for an ultracapacitor based three‐phase interleaved bidirectional DC–DC converter (BDC) to ameliorate the controller design limitations due to the demand for system model information. This article designs a pseudo gradient (PG) estimation algorithm based on the input and output (I/O) data of a three‐phase interleaved BDC and designs a control input estimation algorithm through the PG estimation value, then, the design of a model‐free adaptive controller is completed. Moreover, the Black‐box technique is applied to the system, which does not require a precise mathematical model resulting in a lower computational burden, faster dynamics, and easier implementation. Furthermore, the feasibility and effectiveness of the proposed MFAC scheme are experimentally tested and verified on an energy storage system microgrid platform.
Microsurgical Treatment of Anterior Communicating Artery Aneurysms: An Analysis of 74 Consecutive Cases. Approach Side Choice and Outcome Considerations
Authors: Pinheiro Leon Cleres Penido , Junior Mario Wolak , Salgado Joao Lucas , Neto Francisco L. de A. Moura , Filho Pedro Tadao Hamamoto , Zanini Marco Antonio , Fernandes Adriano Yacubian 
Published: October 2023

Abstract
Introduction Anterior communicating artery aneurysms (ACoAAs) are intracranial aneurysms whose treatment is still considered a challenging task.
Materials and Methods Altogether, 74 patients were included in this study. The variables included age, sex, comorbidities, incidence of subarachnoid hemorrhage (SAH), the Fisher, Hunt-Hess, and WFNS scores, approach side, length of hospital stay, and mortality. We also investigate A1/A2 dimensions, association with approach side choice and the influence of surgeon's experience on the outcome.
Results There were 61 patients (82.2%) admitted with SAH and 13 were treated for unruptured aneurysms. The A1 and A2 branches were larger ipsilaterally to the selected approach side (p < 0,001). No deaths occurred in the unruptured aneurysm group. In the SAH group, mortality was strongly correlated with the Hunt-Hess score (p < 0.001), Fisher grade (p < 0.001), and WFNS score (p < 0.001). No significant difference was found in mortality between the right-side and the left-side approaches (p = 0.253). A significant survival difference was identified on the group operated by the senior surgeon versus the non-senior group (p = 0.048).
Discussion and Conclusion A1 dominance was identified as a factor associated to the approach side for SAH cases at our center. Understanding the factors involved in brain aneurysm surgery remains a relevant and underexplored subject. Further studies involving larger case series and multicenter collaborations are necessary to elucidate these factors and to determine the external validity of our findings.
‘Is it okay to have a child?’: figuring subjectivities and reproductive decisions in response to climate change
Authors: Meynell Leola , Morgan Mandy , van Ommen Clifford 
Published: October 2023

AbstractIn this article, we engage feminist theorisations of figurations as “performative images that can be inhabited” (Haraway 1997/2018) to trace some of the figures which are animating stories about climate change and reproduction in Global North contexts. We focus our reading on a handful of texts which circulate around the question of ‘Is it okay to have a child, given our climate conditions and futures?’ Throughout, we consider the relationship between figurations and our subjective becomings in response to environmental devastations. We critique and resist the hegemonic figuring of ‘the human subject’ as rational and unitary (Braidotti 2014), as this figure naturalises the Western social power relations of advanced capitalism, population control and human exceptionalism. Seeking multiplicity, we look for figures and subjective openings which enable us to become response-able to the pain of ecological worlds dying around us (Haraway 2016), including from our disciplinary location of psychology.
Methodological insights for the study of communication in health
Authors: Thompson Teresa L. , Beach Wayne A. 
Published: October 2023

Abstract
The study of communication as it relates to health and healthcare delivery has historically come from two key directions: research on provider-patient interaction and research on public health campaigns. This chapter will address the first of those areas as well as some other aspects of interpersonal health communication, as those are most relevant to the heart of the present volume. The present chapter will overview the significant directions that have been evident in health communication research and theory over the course of the last several decades. In addition to providing historical context for such work, important examples of research methods and relevant theory will be discussed.
On managing dyadic sequences in triadic clinician-patient-interpreter interaction
Authors: Gavioli Laura , Baraldi Claudio 
Published: October 2023

Abstract
“Dyadic” monolingual sequences involving the mediator and one participant alone seem crucial in medical interaction, but may hinder talk that is in fact triadic. For this reason, dyadic talk has raised debate in dialogue interpreting literature. In this contribution, we look at dyadic sequences in two data-sets, one with interpreting taking place on a regular basis, the other in which interpreting is rarely provided and the mediators less experienced. The data show that while dyadic sequences occur in both settings, their handling appears effective in the former and highly non-effective in the latter. Our analysis highlights reasons for (non-) effectiveness and allows for suggestions to both mediators and clinicians to improve their management of such a complex talk practice.
The pediatrician’s normalizing practice in well-child visits
Authors: Ranzani Federica 
Published: October 2023

Abstract
Drawing on a corpus of 23 video-recorded well-child visits and adopting a conversation analysis-informed approach, this chapter illustrates how pediatricians accomplish a no-problem assessment of infants’ physical growth by implementing a “normalizing practice”. It consists of pediatricians a) formulating the numerical values for length, weight, and head circumference in terms of statistical normality which is “talked into being” by referring to the relevant growth percentile, and b) in the subsequent translation of the statistically-formatted assessment into lay language. The analysis highlights the pragmatic and epistemic work of the normalizing practice: reassuring parents and ratifying medical knowledge as the most authoritative voice. I argue that pediatricians and parents construct a shared understanding of unproblematic infant growth by cooperatively constituting statistics as the ultimate trustworthy representation of “normality”.
Establishing common ground to achieve therapeutic goals
Authors: Allan Keith 
Published: October 2023

Abstract
Healthcare professionals can normally assume that their patients are rational people and approach verbal interaction with the patient as they would with any fellow human being. Common ground is context shared between S (speaker, writer, signer) and H (audience) where S utters U (utterance), evoking context C1 (the ‘world and time spoken of’) so as to bring about in C3 (the ‘situation of interpretation’ from H’s point of view) H’s understanding U in terms of the relevant beliefs that S holds or purports to hold uttering U, i.e. speaking of C1 in C2 (the ‘world and time spoken in’ or situation of utterance from S’s point of view).
Extinction time in growth models subject to binomial catastrophes
*
Authors: Duque F , Junior V V , Machado F P , Roldán-Correa A 
Published: October 2023

Abstract
Populations are often subject to catastrophes that lead to significant reductions in the number of individuals. Many stochastic growth models have been considered to explain such dynamics. Among the reported results, it has been considered whether dispersion strategies, at times of catastrophes, increase the survival probability of the population. In this paper, we contrast dispersion strategies by comparing the mean extinction times of a population under conditions of near-certain extinction. Specifically, we consider populations subject to binomial catastrophes, where the population size is reduced according to a binomial law when a catastrophe occurs. Our findings delineate the optimal strategy (dispersion or non-dispersion) based on variations in model parameter values.
An ultra-light helium cooled pixel detector for the Mu3e experiment
Authors: Rudzki Thomas Theodor , Augustin Heiko , Immig David Maximilian , Kolb Ruben , Mandok Lukas ,   the Mu3e collaboration
Published: October 2023

Abstract
The Mu3e experiment searches for the lepton flavour violating decay μ
+ → e
+
e
-
e
+ with a target sensitivity of 1 event in 1016 decays.
To achieve this goal, the experiment must minimize the material budget.
The pixel detector uses High-Voltage Monolithic Active Pixel Sensors (HV-MAPS) which are thinned down to 50 μm.
Combined with gaseous helium as low density coolant, this results in only X/X
0 ≈ 0.1% per tracking layer.
Both helium cooling and HV-MAPS are a novelty for particle physics experiments.
Here, the work on successfully cooling a pixel tracker using gaseous helium, and performance data of the final HV-MAPS used by Mu3e, the MuPix11, is presented.
The thermal studies focus on the two inner tracking layers, the Mu3e vertex detector, and the first operation of a functional thin pixel detector cooled with gaseous helium.
Miniature turbo compressors are found to be sufficient to cool thin silicon pixel detectors at heat densities of up to 350 mW/cm2.
The presented results demonstrate the feasibility of using HV-MAPS combined with gaseous helium as a coolant for an ultra-thin pixel detector exploring new frontiers in lepton flavor.
Response of preosteoblasts on micromachined Ti-6Al-4V surface to microstructure dimension
Authors: Chen Zhaojie , Yang Linfeng , Xie Jin , Zhu Xicong 
Published: October 2023

Abstract
The cell incubation depends on the cultured surface, but various machining methods produce different surface topographies, but it has not been clear how it is related to the topographic feature until now. Hence, the machined Ti-6Al-4V surface is characterized for preosteoblasts incubation via different mechanical fabrication. The relationship between surface topography created by various machining methods and cell incubation behaviour was explored. The objective is to control the surface preosteoblasts growth in machining of biological titanium alloy. According to the cell growth kinetic, the cell incubation behaviour was first proposed and modelled in relation to microstructural dimension and culture duration. Then, the topological cultured microstructure surface was fabricated via mechanical fabrication. Finally, the cell initial adhesion and incubation behaviour on microstructured surface was investigated. It is shown that the surface undulation on machined microstructure is conducive to controlling the direction and distribution of cell incubation from cell growth kinetic model. The cell culture can be controlled on the peak with a small undulation, while it is concentred on the sidewall with a high aspect ratio. Increasing the aspect ratio extends cell growth, while low aspect ratio promotes initial cell adhesion and growth rate. Within the optimal cultured duration, the microstructured surface is more favourable for cell survival, and the cell growth keep positive beyond critical aspect ratio. As a result, the cell adhesion ability is topologically controlled to 5.4 times higher and the growth rate can be improved by 101.7% on milled microgrooved surface. It may be applied to the rapid production of biomedical Ti-6Al-4V implant.
Satellite-based solar-induced fluorescence tracks seasonal and elevational patterns of photosynthesis in California’s Sierra Nevada mountains
Authors: Kunik Lewis , Bowling David R , Raczka Brett , Frankenberg Christian , Köhler Philipp , Cheng Rui , Smith Kenneth R , Goulden Michael , Jung Martin , Lin John C 
Published: October 2023

AbstractRobust carbon monitoring systems are needed for land managers to assess and mitigate the changing effects of ecosystem stress on western United States forests, where most aboveground carbon is stored in mountainous areas. Atmospheric carbon uptake via gross primary productivity (GPP) is an important indicator of ecosystem function and is particularly relevant to carbon monitoring systems. However, limited ground-based observations in remote areas with complex topography represent a significant challenge for tracking regional-scale GPP. Satellite observations can help bridge these monitoring gaps, but the accuracy of remote sensing methods for inferring GPP is still limited in montane evergreen needleleaf biomes, where (a) photosynthetic activity is largely decoupled from canopy structure and chlorophyll content, and (b) strong heterogeneity in phenology and atmospheric conditions is difficult to resolve in space and time. Using monthly solar-induced chlorophyll fluorescence (SIF) sampled at ∼4 km from the TROPOspheric Monitoring Instrument (TROPOMI), we show that high-resolution satellite-observed SIF followed ecological expectations of seasonal and elevational patterns of GPP across a 3000 m elevation gradient in the Sierra Nevada mountains of California. After accounting for the effects of high reflected radiance in TROPOMI SIF due to snow cover, the seasonal and elevational patterns of SIF were well correlated with GPP estimates from a machine-learning model (FLUXCOM) and a land surface model (CLM5.0-SP), outperforming other spectral vegetation indices. Differences in the seasonality of TROPOMI SIF and GPP estimates were likely attributed to misrepresentation of moisture limitation and winter photosynthetic activity in FLUXCOM and CLM5.0 respectively, as indicated by discrepancies with GPP derived from eddy covariance observations in the southern Sierra Nevada. These results suggest that satellite-observed SIF can serve as a useful diagnostic and constraint to improve upon estimates of GPP toward multiscale carbon monitoring systems in montane, evergreen conifer biomes at regional scales.
Local minimizers of the distances to the majorization flows
Authors: Benac María José , Massey Pedro , Rios Noelia , Ruiz Mariano 
Published: October 2023

Abstract
Let

D

(
d
)

denote the convex set of density matrices of size d and let

ρ
,
σ
∈

D

(
d
)

be such that

ρ

̸

≺
σ

. Consider the majorization flows

L

(
σ
)
=
{
μ
∈

D

(
d
)

:

μ
≺
σ
}

and

U

(
ρ
)
=
{
ν
∈

D

(
d
)

:

ρ
≺
ν
}

, where

≺

stands for the majorization pre-order relation. We endow

L

(
σ
)

and

U

(
ρ
)

with the metric induced by the spectral norm. Let

N
(
⋅
)

be a strictly convex unitarily invariant norm and let

μ
0

∈

L

(
σ
)

and

ν
0

∈

U

(
ρ
)

be local minimizers of the distance functions

Φ
N

(
μ
)
=
N
(
ρ
−
μ
)

, for

μ
∈

L

(
σ
)

and

Ψ
N

(
ν
)
=
N
(
σ
−
ν
)

, for

ν
∈

U

(
ρ
)

. In this work we show that, for every unitarily invariant norm

N
˜

(
⋅
)

we have that

N
˜

ρ
−

μ
0

⩽

N
˜

ρ
−
μ

,
μ
∈

L

σ

and

N
˜

σ
−

ν
0

⩽

N
˜

σ
−
ν

,

ν
∈

U

ρ

.

That is,

μ

0 and ν
0 are global minimizers of the distances to the corresponding majorization flows, with respect to every unitarily invariant norm. We describe the (unique) spectral structure (eigenvalues) of

μ

0 and ν
0 in terms of a simple finite step algorithm; we also describe the geometrical structure (eigenvectors) of

μ

0 and ν
0 in terms of the geometrical structure of

σ

and ρ, respectively. We include a discussion of the physical and computational implications of our results. We also compare our results to some recent related results in the context of quantum information theory.
Crucial roles of structural, morphological, and optical properties in enhancing the photocatalytic performance of ZnO nanorods
Authors: Sugianto Sugianto , Astuti Budi , Ngurah Made DP , Rahayu Endah F , Widayatno Wahyu Bambang , Yudasari Nurfina , Aryanto Didik 
Published: October 2023

Abstract
ZnO nanorods with different structural, morphological, and optical properties were fabricated using hydrothermal process by controlling hydrothermal reaction temperature. It has been presented that the structural, morphological and optical properties of the nanorods are strongly influenced by the hydrothermal reaction temperature. XRD results show that ZnO nanorods have a polycrystalline structure with hexagonal wurtzite. Increasing hydrothermal reaction temperature up to 100 °C stimulates the vertically standing growth along the c-axis orientation on the substrate as shown in FESEM images. The growth is followed by the decrease of the transmittance and energy band-gap of the ZnO nanorods. The photocatalytic activity of ZnO nanorod was evaluated using the percentage degradation of Coomassie® Brilliant blue and Indigo carmine dyes as a function of irradiation time. The photodegradation efficiency of ZnO nanorods synthesized with hydrothermal reaction temperatures at 80, 90 and 100 °C for decolorization of Coomassie® Brilliant blue was 71%, 75% and 81%, respectively, while for Indigo carmine was 50%, 53% and 66%, respectively. The variations of efficiency values indicate that the structural, morphological, and optical properties of ZnO nanorods play an important role in photocatalytic activity.
Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data
Authors: Budhraja Sugam , Doborjeh Maryam , Singh Balkaran , Tan Samuel , Doborjeh Zohreh , Lai Edmund , Merkin Alexander , Lee Jimmy , Goh Wilson , Kasabov Nikola 
Published: October 2023

AbstractSelecting informative features, such as accurate biomarkers for disease diagnosis, prognosis and response to treatment, is an essential task in the field of bioinformatics. Medical data often contain thousands of features and identifying potential biomarkers is challenging due to small number of samples in the data, method dependence and non-reproducibility. This paper proposes a novel ensemble feature selection method, named Filter and Wrapper Stacking Ensemble (FWSE), to identify reproducible biomarkers from high-dimensional omics data. In FWSE, filter feature selection methods are run on numerous subsets of the data to eliminate irrelevant features, and then wrapper feature selection methods are applied to rank the top features. The method was validated on four high-dimensional medical datasets related to mental illnesses and cancer. The results indicate that the features selected by FWSE are stable and statistically more significant than the ones obtained by existing methods while also demonstrating biological relevance. Furthermore, FWSE is a generic method, applicable to various high-dimensional datasets in the fields of machine intelligence and bioinformatics.