bluuebunny/crossref_metadata_2025_split huggingface dataset:
Grain boundary effects in high-temperature liquid-metal dealloying: a multi-phase field study
Authors: Bieberdorf Nathan , Asta Mark , Capolungo Laurent 
Published: July 2023

AbstractA multi-phase field model is employed to study the microstructural evolution of an alloy undergoing liquid dealloying, specifically considering the role of grain boundaries. A semi-implicit time-stepping algorithm using spectral methods is implemented, which enables simulating large 2D and 3D domains over long time scales while still maintaining a realistic interfacial thickness. Simulations reveal a mechanism of coupled grain–boundary migration to maintain equilibrium contact angles with the topologically complex solid–liquid interface, which locally accelerates diffusion-coupled growth of a liquid channel into the precursor. This mechanism asymmetrically disrupts the ligament connectivity of the dealloyed structure in qualitative agreement with published experimental observations. The grain boundary migration-assisted corrosion channels form even for precursors with small amounts of the dissolving alloy species, below the parting limit. The activation of this grain boundary dealloying mechanism depends strongly on grain boundary mobility.
Space hardware for concrete sample production on ISS “MASON concrete mixer”
Authors: Müller J. T. I. , Rattenbacher B. , Tell K. , Rösch C. , Welsch T. , Maurer M. , Sperl M. , Schnellenbach-Held M. 
Published: July 2023

AbstractAdvances in space flight technology will enable the construction of Moon or even Mars bases in the not-too-distant future. Thus, materials will be needed that are suitable for building in microgravity environments. One idea is to use concrete, the most used construction material on Earth, for these challenging tasks. The hardening and the properties of concrete under the boundary conditions prevailing on Earth are well understood, but there is only limited research on concrete produced in microgravity. Hence, a research project called MASON was established, which aims to mix and harden concrete on the ISS and to investigate the properties of the specimens made in microgravity extensively. Since a defined geometry of the specimens would be favorable for these investigations, a special hardware was developed, called the MASON Concrete Mixer (MCM), which allows the production of concrete specimens fulfilling the requirements on the geometry as well as the safety requirements. Subsequently, the development, design, tests, and qualification of the MCM as well as its usage are presented.
A 64k pixel CMOS-DEPFET module for the soft X-rays DSSC imager operating at MHz-frame rates
Authors: Maffessanti Stefano , Hansen Karsten , Aschauer Stefan , Castoldi Andrea , Erdinger Florian , Fiorini Carlo , Fischer Peter , Kalavakuru Pradeep , Klär Helmut , Manghisoni Massimo , Reckleben Christian , Strüder Lothar , Porro Matteo 
Published: July 2023

AbstractThe 64k pixel DEPFET module is the key sensitive component of the DEPFET Sensor with Signal Compression (DSSC), a large area 2D hybrid detector for capturing and measuring soft X-rays at the European XFEL. The final 1-megapixel camera has to detect photons with energies between $$250\,\text{eV}$$

250

eV

and $$6\,\text{keV}$$

6

keV

, and must provide a peak frame rate of $$4.5\,\text{MHz}$$

4.5

MHz

to cope with the unique bunch structure of the European XFEL. This work summarizes the functionalities and properties of the first modules assembled with full-format CMOS-DEPFET arrays, featuring $$512\,\times \,128$$

512

×

128

hexagonally-shaped pixels with a side length of 136 μm. The pixel sensors utilize the DEPFET technology to realize an extremely low input capacitance for excellent energy resolution and, at the same time, an intrinsic capability of signal compression without any gain switching. Each pixel of the readout ASIC includes a DEPFET-bias current cancellation circuitry, a trapezoidal-shaping filter, a 9-bit ADC and a 800-word long digital memory. The trimming, calibration and final characterization were performed in a laboratory test-bench at DESY. All detector features are assessed at $$18\,^{\circ }\text{C}$$

18

∘

C

. An outstanding equivalent noise charge of $$9.8$$

9.8

e−rms is achieved at ﻿1.1-MHz frame rate and gain of 26.8 Analog-to-Digital Unit per keV ($$\,\text {ADU}/\text{keV}$$

ADU
/
keV

). At $$4.5\,\text{MHz}$$

4.5

MHz

and $$3.1\,\,\text {ADU}/\text{keV}$$

3.1

ADU
/
keV

, a noise of $$25.5$$

25.5

e−rms and a dynamic range of $$26\,\text{k}\text {e}^{-}$$

26

ke
-

are obtained. The highest dynamic range of $$1.345\,\text{M}\text {e}^{-}$$

1.345

Me
-

is reached at $$2.25\,\text{MHz}$$

2.25

MHz

and $$1.6\,\text {ADU}/\text{keV}$$

1.6

ADU
/
keV

. These values can fulfill the specification of the DSSC project.
In vivo study on borophene nanoflakes interaction with Tenebrio molitor beetle: viability of hemocytes and short-term immunity effect
Authors: Czarniewska Elżbieta , Sielicki Krzysztof , Maślana Klaudia , Mijowska Ewa 
Published: July 2023

AbstractThe family of graphene-based materials welcomed a new member, borophene, in 2014. Research on synthesis routes and experimental study on physicochemical and biological (especially in vivo) properties still is strongly desired in order to evaluate its practical potential as a drug delivery-system. The effect of two-dimensional borophene nanoflakes on cells, systems and the entire animal organism has not been studied so far. Therefore, we investigated in vivo its biocompatibility with hemocytes in the Tenebrio molitor as a model organism. Short-term studies demonstrated that borophene nanoflakes at doses of 0.5, 1 or 2 µg of nanoflakes per insect did not induce hemocytotoxicity. Hemocytes exposed to nanoflakes showed morphology, adhesiveness and ability to form filopodia as in the control hemocytes. A detailed study indicates that borophene nanoflakes do not: (i) generate intracellular reactive oxygen species in hemocytes, (ii) affect the mitochondrial membrane potential and (iii) interfere with phagocytosis. Therefore, this contribution presents new in vivo insights into the group of two-dimensional materials which are one of the most promising materials for biomedical applications owing to their special structure and unique properties. However, long-term studies in insects and other animals are still necessary to confirm that borophene is biocompatible and biologically safe.
Machine learning-based approaches for cancer prediction using microbiome data
Authors: Freitas Pedro , Silva Francisco , Sousa Joana Vale , Ferreira Rui M. , Figueiredo Céu , Pereira Tania , Oliveira Hélder P. 
Published: July 2023

AbstractEmerging evidence of the relationship between the microbiome composition and the development of numerous diseases, including cancer, has led to an increasing interest in the study of the human microbiome. Technological breakthroughs regarding DNA sequencing methods propelled microbiome studies with a large number of samples, which called for the necessity of more sophisticated data-analytical tools to analyze this complex relationship. The aim of this work was to develop a machine learning-based approach to distinguish the type of cancer based on the analysis of the tissue-specific microbial information, assessing the human microbiome as valuable predictive information for cancer identification. For this purpose, Random Forest algorithms were trained for the classification of five types of cancer—head and neck, esophageal, stomach, colon, and rectum cancers—with samples provided by The Cancer Microbiome Atlas database. One versus all and multi-class classification studies were conducted to evaluate the discriminative capability of the microbial data across increasing levels of cancer site specificity, with results showing a progressive rise in difficulty for accurate sample classification. Random Forest models achieved promising performances when predicting head and neck, stomach, and colon cancer cases, with the latter returning accuracy scores above 90% across the different studies conducted. However, there was also an increased difficulty when discriminating esophageal and rectum cancers, failing to differentiate with adequate results rectum from colon cancer cases, and esophageal from head and neck and stomach cancers. These results point to the fact that anatomically adjacent cancers can be more complex to identify due to microbial similarities. Despite the limitations, microbiome data analysis using machine learning may advance novel strategies to improve cancer detection and prevention, and decrease disease burden.
Incidence, risk factors, and clinical findings of syphilis among men living with HIV in Croatia during the COVID-19 pandemic
Authors: Begovac Josip , Romih Pintar Vanja , Vrsaljko Nina , Močibob Loris , Bogdanić Nikolina , Zekan Šime , Đaković Rode Oktavija 
Published: July 2023

AbstractWe conducted a nationwide longitudinal observational study to estimate the incidence of syphilis in a cohort of male persons living with HIV (MLWH) in Croatia in the pre-COVID-19 and COVID-19 years. Data were reviewed and extracted from the clinical database. We analyzed 1187 MLWH (≥ 18 years) in care in Croatia from 2018 to 2021 and used Poisson regression to calculate rates. We observed a 91.4% increase in incidence between 2019 and 2020; the overall rate was 6.0/100 person-years, and the annual rate ranged from 3.3/100 person-years in 2018 to 9.3/100 person-years in 2021. We found higher rates in men who have sex with men, MLWH with a baseline history of syphilis, MLWH with a more recent HIV diagnosis, and a lower rate in those who had clinical AIDS. The rate of syphilis serological testing was 3.5% lower in 2020 compared to 2019. Recurrent syphilis was more likely asymptomatic compared to the first episodes. In conclusion, during the COVID-19 epidemic years, there was a huge increase in syphilis. Results highlight the need for enhanced and novel prevention interventions.
Electroosmotically actuated peristaltic-ciliary flow of propylene glycol + water conveying titania nanoparticles
Authors: Akram Javaria , Akbar Noreen Sher 
Published: July 2023

AbstractThe main focus of this article is to mathematically formulate the microfluidics-based mechanical system for nanofluids. A 50:50 mixture of propylene glycol (PG) and water is used as a heat transfer fluid because of its tremendous anti-freezing properties, and nontoxicity and it is safe to be utilized at the domestic level. Titanium dioxide (titania) nanoparticles are suspended in the working fluid to enhance its heat transfer ability. The fluid flow is induced by electroosmosis in a microtube, which is further assisted by cilia beating. The impacts of Joule heating and non-linear thermal radiation are also considered. The simplification of the dimensionless system is done under lubrication theory and the Debye-Hückel linearization principle. The nonlinear system of equations is executed for a numerical solution by adopting the symbolic mathematical software Maple 17 using the command “dsolve” along with the additional command “numeric” to get the numerical solution. This command utilizes a low-ordered method along with accuracy-enhancing schemes such as the deferred correction technique and Richardson extrapolation to get a numerical answer of desired accuracy, where we can choose the accuracy level and mesh points according to our requirements. The detailed analysis of results obtained from the numerical treatment of the considered problem indicates that the efficiency of the PG + water enhances due to the suspension of the nanoparticles and heat is rapidly removed from the system. Further, the velocity of the fluid is augmented by decreasing the thickness of the electric double layer and raising the strength of the electric field in the forwarding direction.
Exploring the potential connection between place capital and health capital in the post COVID-19 city
Authors: Meyrick Kate , Newman Peter 
Published: July 2023

AbstractGreat places have the potential to create enhanced health outcomes and improve quality of life. The positive connection between the built environment and the social determinants of health is well documented as is the role of the built environment in establishing place quality and sense of place. However, the relationship between the concepts of place capital and health capital is less understood and specifically the extent to which high levels of place capital confer a protective and restorative health benefit across the whole of life. COVID-19 changed our appreciation of the role that both health and place play in supporting our quality and way of life and has revealed the negative impact on wellness and wellbeing that arises when our connection to place is fractured. To contribute to the debate surrounding the post-COVID-19 city, this paper explores the intrinsic connection between place and health; it proposes a conceptual model that positions place capital as a tool for enhancing whole of life health capital at a neighbourhood scale. The Framework for measuring this place capital is created from traditional place literature and the new place context literature on the need to be inclusive, equitable and sustainable. It suggests that by building great places that are based on these measurable factors, there can be a reduction in the growth of medical spending and burden of disease over time.
Global scale coupling of pyromes and fire regimes
Authors: Pais Cristobal , Gonzalez-Olabarria Jose Ramon , Elimbi Moudio Pelagie , Garcia-Gonzalo Jordi , González Marta C. , Shen Zuo-Jun Max 
Published: July 2023

AbstractDifferent interpretations of the fire regime concept have limited the capacity to allocate specific fire regimes worldwide. To solve this limitation, in this study, we present a framework to frame contemporary fire regimes spatially on a global scale. We process historical wildfire records between 2000 and 2018 across the six continents. We uncover 15 global pyromes with clear differences in fire-related metrics, such as frequency and size. The pyromes were further divided into 62 regimes based on spatial aggregation patterns. This spatial framing of contemporary fire regimes allows for an interpretation of how a combination of driving factors such as vegetation, climate, and demographic features can result in a specific fire regime. To the best of our knowledge, this open source platform at unprecedented scale expands on existing classification efforts and bridges the gaps between global and regional fire studies.
Chromosomal Abnormalities of Interest in Turner Syndrome: An Update
Authors: Ibarra-Ramírez Marisol , Campos-Acevedo Luis Daniel , Martínez de Villarreal Laura E. 
Published: July 2023

AbstractTurner syndrome (TS) is caused by the total or partial loss of the second sex chromosome; it occurs in 1 every 2,500–3,000 live births. The clinical phenotype is highly variable and includes short stature and gonadal dysgenesis. In 1959, the chromosomal origin of the syndrome was recognized; patients had 45 chromosomes with a single X chromosome. TS presents numerical and structural abnormalities in the sex chromosomes, interestingly only 40% have a 45, X karyotype. The rest of the chromosomal abnormalities include mosaics, deletions of the short and long arms of the X chromosome, rings, and isochromosomes. Despite multiple studies to establish a relationship between the clinical characteristics and the different chromosomal variants in TS, a clear association cannot yet be established. Currently, different mechanisms involved in the phenotype have been explored. This review focuses to analyze the different chromosomal abnormalities and phenotypes in TS and discusses the possible mechanisms that lead to these abnormalities.
Analyzing Mortality Trends in the UK Pediatric Critical Care Long-Stay Patient Cohort
Authors: Kothari Trishul , Kelly Nicola , Kanthimathinathan Hari Krishnan 
Published: July 2023

AbstractLong-stay patients in pediatric intensive care unit (PICU) are at risk of higher mortality. The long-stay PICU population is growing larger. Identification of indicators of adverse outcomes in this cohort may provide opportunities for timely counseling and support. We aim to analyze the factors associated with higher mortality in the long-stay PICU patient cohort. Retrospective single-center study of long-stay PICU admissions defined as a PICU length of stay of at least 28 days during a 3-year study period (April 1, 2017–March 31, 2020). Outcomes analyzed included in-PICU mortality and mortality within 12 months of PICU discharge. Variables analyzed for association with outcomes included primary diagnostic category, number and nature of additional comorbidities, long-term ventilation (LTV) pathway, etc. During a 3-year period, there were 2,848 unique individual patient admissions to the PICU; 165 children had 172 long-stay admissions. The overall in-PICU mortality of long-stay patient was 30.2% compared with 6.4% (p < 0.0001) for whole PICU population; 42% of the long-stay patients had died by 12 months postdischarge. Certain primary diagnostic groups, for example, hematology/oncology, had a statistically significant increased likelihood of death (odds ratio [OR] 8.6 [p = 0.004, confidence interval, CI, 2.0–39.5]). Children on an LTV pathway had relatively lower odds of death (OR 0.1 [p = 0.003, CI 0.01–0.34]). We described factors associated with higher and lower mortality rates in a group of long-stay PICU patients. Understanding the impact of specific combinations of factors as shown in this analysis on outcomes may be important for clinicians to help counsel families.
Autonomous sputter synthesis of thin film nitrides with composition controlled by Bayesian optimization of optical plasma emission
Authors: Fébba Davi M. , Talley Kevin R. , Johnson Kendal , Schaefer Stephen , Bauers Sage R. , Mangum John S. , Smaha Rebecca W. , Zakutayev Andriy 
Published: July 2023

Autonomous experimentation has emerged as an efficient approach to accelerate the pace of material discovery. Although instruments for autonomous synthesis have become popular in molecular and polymer science, solution processing of hybrid materials, and nanoparticles, examples of autonomous tools for physical vapor deposition are scarce yet important for the semiconductor industry. Here, we report the design and implementation of an autonomous workflow for sputter deposition of thin films with controlled composition, leveraging a highly automated sputtering reactor custom-controlled by Python, optical emission spectroscopy (OES), and a Bayesian optimization algorithm. We modeled film composition, measured by x-ray fluorescence, as a linear function of plasma emission lines monitored during co-sputtering from elemental Zn and Ti targets in an N2 and Ar atmosphere. A Bayesian control algorithm, informed by OES, navigates the space of sputtering power to fabricate films with user-defined compositions by minimizing the absolute error between desired and measured optical emission signals. We validated our approach by autonomously fabricating ZnxTi1−xNy films that deviate from the targeted cation composition by a relative ±3.5%, even for 15 nm thin films, demonstrating that the proposed approach can reliably synthesize thin films with a specific composition and minimal human interference. Moreover, the proposed method can be extended to more difficult synthesis experiments where plasma intensity lines depend non-linearly on pressure, or the elemental sticking coefficients strongly depend on the substrate temperature.
Emerging trends in microfluidic-assisted nanomaterial synthesis for their high-resolution gas sensing applications
Authors: Ramya K , Amreen Khairunnisa , Pronin Igor , Karmanov Andrey , Yakushova Nadejda , Goel Sanket 
Published: July 2023

Abstract
Conventional methods of detecting hazardous gases and aerated microorganisms were judged unfeasible for use in a point of use environment. The use of a lightweight prototype and an easy fabrication provides significant advantages over conventional gas sensing systems. It would be ideal if scientists could develop relatively small, sensitive gas sensors that could detect trace amounts of biomarker gases and airborne pollutants. In the realm of sensors, microfluidics technology enables the analysis of a small quantity of samples by facilitating the use of a minimum amount of sensor materials. Moreover, the capacity to scrutinise a diminutive sample volume result in a sensor that exhibits prompt responsiveness. However, attaining selectivity towards the target analyte has been a major challenge. With this objective of obtaining specificity in gas sensing, this comprehensive study highlights recent breakthroughs in microfluidic device design and synthesis of sensing materials for selective gas and aerated pollutants. The present review focuses on brief explanation of a microfluidic device design, the substrate material, channel size, shape, deposition, and cleaning methods for synthesis of selective gas sensing materials based on noble metals, semiconductor oxide nanoparticles, and their composites. Further, the gas sensing application of these materials is also discussed in detail. This article is the first to provide an extensive overview of the substrate materials, design fabrication, deposition, and cleaning techniques, microfluidic synthesis of sensing materials for selective gas sensing, and the various detection approaches required for novel and efficient gas sensing analysis using recent microfluidic technology.
Influence of sex on efficacy of exercise training for patients with symptomatic atrial fibrillation: insights from the ACTIVE-AF randomized controlled trial
Authors: Verdicchio Christian V , Mahajan Rajiv , Middeldorp Melissa E , Gallagher Celine , Mishima Ricardo S , Lau Dennis H , Sanders Prashanthan , Elliott Adrian D 
Published: July 2023

Abstract

Aims
Exercise training reduces recurrence of arrhythmia and symptom severity amongst patients with symptomatic, non-permanent atrial fibrillation (AF). However, there is little evidence on whether this effect is modified by patient sex. In a sub-analysis from the ACTIVE-AF (A Lifestyle-based, PhysiCal AcTIVity IntErvention for Patients With Symptomatic Atrial Fibrillation) randomized controlled trial, we compared the effects of exercise training on AF recurrence and symptom severity between men and women.

Methods and results
The ACTIVE-AF study randomized 120 patients (69 men, 51 women) with paroxysmal or persistent AF to receive an exercise intervention combining supervised and home-based aerobic exercise over 6 months or to continue standard medical care. Patients were followed over a 12-month period. The co-primary outcomes were recurrence of AF, off anti-arrhythmic medications and without catheter ablation, and AF symptom severity scores. By 12 months, recurrence of AF was observed in 50 (73%) men and 34 (67%) women. In an intention-to-treat analysis, there was a between-group difference in favour of the exercise group for both men [hazard ratio (HR) 0.52, 95% confidence interval (CI): 0.29–0.91, P = 0.022] and women (HR 0.47, 95% CI: 0.23–0.95, P = 0.035). At 12 months, symptom severity scores were lower in the exercise group compared with controls amongst women but not for men.

Conclusion
An exercise-based intervention reduced arrhythmia recurrence for both men and women with symptomatic AF. Symptom severity was reduced with exercise in women at 12 months. No difference was observed in symptom severity for men.

Registration
Australia and New Zealand Clinical Trials Registry: ACTRN12615000734561