bluuebunny/crossref_metadata_2025_split huggingface dataset:
High sensitivity ethanol vapor sensor based on a nematic liquid crystal film embedded optical fiber Sagnac interferometer
Authors: Li Yuxin , Chen Hailiang , Li Hongwei , Fan Xiaoya , Li Baocheng 
Published: April 2023

Abstract
Interferometric optical fiber sensors have become the preferred choice for ethanol vapor detection because of their high sensitivity and figure of merit. However, the response time of interferometric fiber optic ethanol vapor sensors is very long. To address this issue, we experimentally investigated an ethanol vapor sensor based on a nematic liquid crystal (NLC) film embedded optical fiber Sagnac interferometer. The high birefringent NLC film, which worked as the sensing media of ethanol vapor for its absorption of ethanol vapor, was penetrated into the Sagnac ring to generate the spectral interference. The results showed that the measurement sensitivity of ethanol gas concentration reached 2.22 pm ppm−1. The detection range was about 1210 ppm–10 000 ppm. Most importantly, the response time of the proposed sensor is only 15 s. The designed sensor, which showed the advantages of fast response, high sensitivity, and stability, could be a competitive candidate for ethanol vapor sensing.
Lattice instability and magnetic phase transitions in strongly correlated MnAs
Authors: Petkov Valeri , Zafar Adeel , Tadisetti Durga R , Abeykoon Milinda AM 
Published: April 2023

Abstract
Using variable temperature x-ray total scattering in magnetic field, we study the interaction between lattice and magnetic degrees of freedom in MnAs, which loses its ferromagnetic order and hexagonal (‘H’) lattice symmetry at 318 K to recover the latter and become a true paramagnet when the temperature is increased to 400 K. Our results show that the 318 K transition is accompanied by highly anisotropic displacements of Mn atoms that appear as a lattice degree of freedom bridging the ‘H’ and orthorhombic phases of MnAs. This is a rare example of a lowering of an average crystal symmetry due to an increased displacive disorder emerging on heating. Our results also show that magnetic and lattice degrees of freedom appear coupled but not necessarily equivalent control variables for triggering phase transitions in strongly correlated systems in general and in particular in MnAs.
Design and development of cost-effective fiber Bragg grating temperature sensor package
Authors: Khan Raja Yasir Mehmood , Ullah Rahim , Faisal Muhammad 
Published: April 2023

Abstract
A cost-effective fiber Bragg grating (FBG) temperature sensor package was designed and developed with two distinct sensing probes and demodulation schemes. U-shaped and capillary shape probes were designed and tested using an optical spectrum analyzer and two different indiginously developed intensity demodulation schemes. The temperature sensitivities were measured as 12.94 ± 0.15 pm °C−1, 11.57 ± 0.12 pm °C−1, and 12.03 ± 0.14 pm °C−1 for a bare FBG and for FBGs encapsulated in the U-shaped and capillary probes, respectively, with negligible hysteresis and a repeatability of 1 °C–3 °C. The performance of the probes was demonstrated by twin-FBG intensity demodulation schemes, the range of which was increased up to 181.50 °C with a resolution of 0.120 °C by the development of a CFBG-FBG intensity demodulation scheme.
El-Numodis: a new tool to model dislocation and surface interactions
Authors: Gonzalez Joa Javier Antonio , Dupuy Laurent , Råback Peter , Fivel Marc , Perez Michel , Amodeo Jonathan 
Published: April 2023

Abstract
While surfaces are known to have a limited impact on the mechanical properties of crystalline materials at the macroscopic scale, they play a key role at small-scale behaving alternatively as sources or sinks of various plastic deformation processes. In this study, we present a new tool called El-Numodis that relies on the superposition method to couple the discrete dislocation dynamics code Numodis to Elmer, an open-source finite-element-modeling tool. After few years of development, El-Numodis allows now for the simulation of small-scale object deformation and mechanical properties based on a large set of surface-related processes including stress-free boundaries, mirrored dislocations and a Monte-Carlo based dislocation nucleation mechanism. Here we present the main features of the code as well as numerical test-cases and benchmarks going from classical boundary value problems to tensile tests on model thin film.
Probe sonication-assisted rapid synthesis of highly fluorescent sulfur quantum dots
Authors: Kadian Sachin , Chaulagain Narendra , Joshi Naveen Narasimhachar , Alam Kazi M , Cui Kai , Shankar Karthik , Manik Gaurav , Narayan Roger J 
Published: April 2023

AbstractA new type of heavy-metal free single-element nanomaterial, called sulfur quantum dots (SQDs), has gained significant attention due to its advantages over traditional semiconductor QDs for several biomedical and optoelectronic applications. A straightforward and rapid synthesis approach for preparing highly fluorescent SQDs is needed to utilize this nanomaterial for technological applications. Until now, only a few synthesis approaches have been reported; however, these approaches are associated with long reaction times and low quantum yields (QY). Herein, we propose a novel optimized strategy to synthesize SQDs using a mix of probe sonication and heating, which reduces the reaction time usually needed from 125 h to a mere 15 min. The investigation employs cavitation and vibration effects of high energy acoustic waves to break down the bulk sulfur into nano-sized particles in the presence of highly alkaline medium and oleic acid. In contrast to previous reports, the obtained SQDs exhibited excellent aqueous solubility, desirable photostability, and a relatively high photoluminescence QY up to 10.4% without the need of any post-treatment. Additionally, the as-synthesized SQDs show excitation-dependent emission and excellent stability in different pH (2–12) and temperature (20 °C–80 °C) environments. Hence, this strategy opens a new pathway for rapid synthesis of SQDs and may facilitate the use of these materials for biomedical and optoelectronic applications.
MoS2-functionalized conductive carbon heterostructure embedded with ferroelectric polymers for bipolar memristive applications
Authors: Das Nipom Sekhar , Jana Rajesh , Roy Asim , Chowdhury Avijit 
Published: April 2023

Abstract
Heterostructures of two-dimensional layered materials, integrating two or more building blocks with complementing counterparts, can regulate the confinement and transportation of charge carriers via vacancy-induced defect and interfacial states. Herein, reduced graphene oxide-molybdenum disulfide (rGO-MoS2) nanohybrid were fabricated and reinforced with various polymers [poly methyl methacrylate (PMMA), poly (vinylidene fluoride) (PVDF), and PMMA-PVDF (20:80) blend] to study the resistive memory properties in a metal–insulator-metal configuration. The scanning electron microscopy analysis presents a hierarchical 3D flower-like MoS2 intercalated with rGO nanosheets. Transmission electron microscopy image exhibits MoS2 nanoflakes well interspersed and grafted on layered rGO sheets, forming sandwich heterostructures. Raman analysis shows a higher I
D/I
G ratio for rGO-MoS2 than rGO, demonstrating numerous defect states in rGO. The x-ray diffraction analysis of the polymer blend containing rGO-MoS2 exhibits β-crystal phases with a polarity-dependent internal electric field (E-field). The J-V characteristics of pure MoS2-polymer films display a write-once-read-many behavior with a current I
ON/I
OFF ratio of ∼102–103, in contrast to pristine polymer films exhibiting repeatable electrical hysteresis. Instead, the rGO-MoS2-based devices display bipolar characteristics (I
ON/I
OFF ratio of ∼103–104) due to charge transfer interaction with the conductive carbon substrates. The ferroelectric polarization-induced E-field coupled with the external bias is responsible for the improved memristive performances. A plausible conduction mechanism is proposed to discuss the carrier transport through the devices.
Delayed-choice quantum erasure with nonlocal temporal double-slit interference
Authors: Hong Ling , Chen Yuanyuan , Chen Lixiang 
Published: April 2023

Abstract
Wave–particle duality is a counterintuitive nature of quantum physics that challenges many common-sense assumptions, and Young’s double-slit interference is a prototypical example. While most quantum erasure experiments emphasized the choice of erasing or marking the which-path information of one quantum system, we use frequency entanglement to report a nonlocal temporal double-slit interferometer such that the which-time information determines the wave-like or particle-like behaviors. Since frequency-entangled photons are created simultaneously by using spontaneous parametric down conversion, the mark of temporal distinguishability is readily prepared by delaying one of the entangled photons, and its quantum eraser is implemented by using spectrally resolved detection with a tunable delayed choice. These results may provide an alternative aspect and insight into the role of the temporal degree in quantum-light complementarity and photon interference.
Cleaning the dose falloff with low modulation in SBRT lung plans
Authors: Boria Andrew J , Narayanasamy Ganesh , Bimali Milan , Maraboyina Sanjay , Kalantari Faraz , Sabouri Pouya , Su Zhong 
Published: April 2023

Abstract

Purpose. This dosimetric study is intended to lower the modulation factor in lung SBRT plans generated in the Eclipse TPS that could replace highly modulated plans that are prone to the interplay effect. Materials and methods. Twenty clinical lung SBRT plans with high modulation factors (≥4) were replanned in Varian Eclipse TPS version 15.5 utilizing 2 mm craniocaudal and 1 mm axial block margins followed by light optimization in order to reduce modulation. A unique plan optimization methodology, which utilizes a novel shell structure (OptiForR50) for R50% optimization in addition to five consecutive concentric 5 mm shells, was utilized to control dose falloff according to RTOG 0813 and 0915 recommendations. The prescription varied from 34–54 Gy in 1–4 fractions, and the dose objectives were PTV D95% = Rx, PTV Dmax < 140% of Rx, and minimizing the modulation factor. Plan evaluation metrics included modulation factor, CIRTOG, homogeneity index (HI), R50%, D2cm, V105%, and lung V8–12.8Gy (Timmerman Constraint). A random-intercept linear mixed effects model was used with a p ≤ 0.05 threshold to test for statistical significance. Results. The retrospectively generated plans had significantly lower modulation factors (3.65 ± 0.35 versus 4.59 ± 0.54; p < 0.001), lower CIRTOG (0.97 ± 0.02 versus 1.02 ± 0.06; p = 0.001), higher HI (1.35 ± 0.06 versus 1.14 ± 0.04; p < 0.001), lower R50% (4.09 ± 0.45 versus 4.56 ± 0.56; p < 0.001), and lower lungs V8–12.8Gy (Timmerman) (4.61% ± 3.18% versus 4.92% ± 3.37%; p < 0.001). The high dose spillage V105% was borderline significantly lower (0.44% ± 0.49% versus 1.10% ± 1.64%; p = 0.051). The D2cm was not statistically different (46.06% ± 4.01% versus 46.19% ± 2.80%; p = 0.835). Conclusion. Lung SBRT plans with significantly lower modulation factors can be generated that meet the RTOG constraints, using our planning strategy.
Neighbourhood deprivation across eight decades and late-life cognitive function in the Lothian Birth Cohort 1936: a life-course study
Authors: Baranyi Gergő , Conte Federica , Deary Ian J , Shortt Niamh , Thompson Catharine Ward , Cox Simon R , Pearce Jamie 
Published: April 2023

AbstractIntroductionalthough neighbourhood may predict late-life cognitive function, studies mostly rely on measurements at a single time point, with few investigations applying a life-course approach. Furthermore, it is unclear whether the associations between neighbourhood and cognitive test scores relate to specific cognitive domains or general ability. This study explored how neighbourhood deprivation across eight decades contributed to late-life cognitive function.Methodsdata were drawn from the Lothian Birth Cohort 1936 (n = 1,091) with cognitive function measured through 10 tests at ages 70, 73, 76, 79 and 82. Participants’ residential history was gathered with ‘lifegrid’ questionnaires and linked to neighbourhood deprivation in childhood, young adulthood and mid-to-late adulthood. Associations were tested with latent growth curve models for levels and slopes of general (g) and domain-specific abilities (visuospatial ability, memory and processing speed), and life-course associations were explored with path analysis.Resultshigher mid-to-late adulthood neighbourhood deprivation was associated with lower age 70 levels (β = −0.113, 95% confidence intervals [CI]: −0.205, −0.021) and faster decline of g over 12 years (β = −0.160, 95%CI: −0.290, −0.031). Initially apparent findings with domain-specific cognitive functions (e.g. processing speed) were due to their shared variance with g. Path analyses suggested that childhood neighbourhood disadvantage is indirectly linked to late-life cognitive function through lower education and selective residential mobility.Conclusionsto our knowledge, we provide the most comprehensive assessment of the life-course neighbourhood deprivation and cognitive ageing relationship. Living in advantaged areas in mid-to-late adulthood may directly contribute to better cognitive function and slower decline, whereas an advantaged childhood neighbourhood likely affects functioning through cognitive reserves.
Differences in mental health and alcohol use across profiles of COVID-19 disruptions
Authors: Gray Aaliyah , Liu Tingting , Giorgi Salvatore , Fisher Celia B , Curtis Brenda 
Published: April 2023

Abstract
This study aimed to examine differences in mental health and alcohol use outcomes across distinct patterns of work, home, and social life disruptions associated with the COVID-19 pandemic. Data from 2093 adult participants were collected from September 2020 to April 2021 as a part of a larger study examining the impacts of the COVID-19 pandemic on substance use. Participants provided data on COVID-19 pandemic experiences, mental health outcomes, media consumption, and alcohol use at baseline. Alcohol use difficulties, including problems related to the use, desire to use alcohol, failure to cut down on alcohol use, and family/friend concern with alcohol use, were measured at 60-day follow-up. Factor mixture modeling followed by group comparisons, multiple linear regressions, and multiple logistic regressions was conducted. A four-profile model was selected. Results indicated that profile membership predicted differences in mental health and alcohol use outcomes above and beyond demographics. Individuals experiencing the most disruption reported the strongest daily impact of COVID-19 and significantly high levels of depression, anxiety, loneliness, overwhelm, alcohol use at baseline, and alcohol use difficulties measured at 60-day follow-up. The findings highlight the need for integrated mental health and/or alcohol services and social services targeting work, home, and social life during public health emergencies in order to respond effectively and comprehensively to the needs of those requiring different types of support.
Opioid-Prescribing Patterns in Body Contouring Surgery
Authors: Mundra Leela , Garossi Kassra , Iorio Matthew , Mathes David , Winocour Julian , Kaoutzanis Christodoulos 
Published: April 2023

Abstract

Background
The United States is experiencing the highest opioid overdose death rate in our nation's history. Misuse and addiction to opioids, including prescription pain relievers, is a serious national crisis that affects public health as well as social and economic welfare.

Objectives
The aim of the study was to critically evaluate postoperative opioid-prescribing patterns.

Methods
The PearlDiver database (Colorado Springs, CO) was queried for body contouring patients from 2010 to 2020. We identified patients that underwent panniculectomy, abdominoplasty, brachioplasty, thighplasty, mastopexy, breast augmentation, breast reduction, and liposuction for analysis. We subsequently analyzed the opioid use, with a focus on comorbid conditions and complications that are associated with increased use of opioids.

Results
A total of 56,773 patients underwent body contouring surgery. The most common opioid prescribed was hydrocodone with acetaminophen (37,017 patients). Average days of therapy was 17.92 days. Comorbid conditions and postoperative complications were examined for risk of increased opioid prescriptions. Patients with peripheral vascular disease and smoking were prescribed significantly more morphine milliequivalents (MME) of opioids than patients without peripheral vascular disease (871.97 vs 535.41; P &lt; .001) and smoking (1069.57 vs 440.84; P &lt; .001). Patients who developed surgical site infection, disruption of wound, and venous thromboembolism were prescribed a significantly higher MME of opioids (1213.63 vs 561.59; P &lt; .001).

Conclusions
Our data provide information on opioid prescription patterns in the body contouring population, with focused review of comorbid conditions and complications in relation to opioid-prescribing patterns. We hope that the data will improve opioid prescription habits among plastic surgeons in the setting of a global opioid crisis.
The Effect of Hybrosome (Umbilical Cord Blood Exosome–Liposome Hybrid Vesicles) on Human Dermal Cells In Vitro
Authors: Koçak Polen , Unsal Naz , Canikyan Serli , Kul Yaren , Cohen Steven R , Tiryaki Tunç , Duncan Diane , Schlaudraff Kai-Uwe , Ascher Benjamin , Tiryaki Teodor Eren 
Published: April 2023

Abstract

Background
Wound healing is a process that involves multiple physiological steps, and despite the availability of various wound treatment methods, their effectiveness is still limited due to several factors, including cost, efficiency, patient-specific requirements, and side effects. In recent years, nanovesicles called exosomes have gained increasing attention as a potential wound care solution due to their unique cargo components which enable cell-to-cell communication and regulate various biological processes. Umbilical cord blood plasma (UCBP) exosomes have shown promise in triggering beneficial signaling pathways that aid in cell proliferation and wound healing. However, there is still very limited information about the wound-healing effect of UCBP exosomes in the literature.

Objectives
The primary objective of this study was to investigate the “hybrosome” technology generated with calf UCBP-derived exosome–liposome combination.

Methods
The authors developed hybrosome technology by fusing cord blood exosome membranes with liposomes. Nanovesicle characterization, cell proliferation assay, wound-healing scratch assay, immunohistochemistry analysis, anti-inflammation assay, real-time polymerase chain reaction (RT-PCR), enzyme-linked immunosorbent assay, and cellular uptake studies were performed using the novel hybrid exosomes.

Results
Experimental results showed that hybrosome increases cell proliferation and migration by 40% to 50%, depending on the dose, and induces an anti-inflammatory effect on different cell lines as well as increased wound healing–related gene expression levels in dermal cells in vitro. All in all, this research widens the scope of wound-healing therapeutics to the novel hybrosome technology.

Conclusions
UCBP-based applications have the potential for wound treatments and are promising in the development of novel therapies. This study shows that hybrosomes have outstanding abilities in wound healing using in vitro approaches.

Level of Evidence: 3
Fixing molecular complexes in BioPAX standards to enrich interactions and detect redundancies using semantic web technologies
Authors: Juigné Camille , Dameron Olivier , Moreews François , Gondret Florence , Becker Emmanuelle 
Published: April 2023

Abstract

Motivation
Molecular complexes play a major role in the regulation of biological pathways. The Biological Pathway Exchange format (BioPAX) facilitates the integration of data sources describing interactions some of which involving complexes. The BioPAX specification explicitly prevents complexes to have any component that is another complex (unless this component is a black-box complex whose composition is unknown). However, we observed that the well-curated Reactome pathway database contains such recursive complexes of complexes. We propose reproductible and semantically rich SPARQL queries for identifying and fixing invalid complexes in BioPAX databases, and evaluate the consequences of fixing these nonconformities in the Reactome database.

Results
For the Homo sapiens version of Reactome, we identify 5833 recursively defined complexes out of the 14 987 complexes (39%). This situation is not specific to the Human dataset, as all tested species of Reactome exhibit between 30% (Plasmodium falciparum) and 40% (Sus scrofa, Bos taurus, Canis familiaris, and Gallus gallus) of recursive complexes. As an additional consequence, the procedure also allows the detection of complex redundancies. Overall, this method improves the conformity and the automated analysis of the graph by repairing the topology of the complexes in the graph. This will allow to apply further reasoning methods on better consistent data.

Availability and implementation
We provide a Jupyter notebook detailing the analysis https://github.com/cjuigne/non_conformities_detection_biopax.
pyInfinityFlow: optimized imputation and analysis of high-dimensional flow cytometry data for millions of cells
Authors: Ferchen Kyle , Salomonis Nathan , Grimes H Leighton 
Published: April 2023

Abstract

Motivation
While conventional flow cytometry is limited to dozens of markers, new experimental and computational strategies, such as Infinity Flow, allow for the generation and imputation of hundreds of cell surface protein markers in millions of cells. Here, we describe an end-to-end analysis workflow for Infinity Flow data in Python.

Results
pyInfinityFlow enables the efficient analysis of millions of cells, without down-sampling, through direct integration with well-established Python packages for single-cell genomics analysis. pyInfinityFlow accurately identifies both common and extremely rare cell populations which are challenging to define from single-cell genomics studies alone. We demonstrate that this workflow can nominate novel markers to design new flow cytometry gating strategies for predicted cell populations. pyInfinityFlow can be extended to diverse cell discovery analyses with flexibility to adapt to diverse Infinity Flow experimental designs.

Availability and implementation
pyInfinityFlow is freely available in GitHub (https://github.com/KyleFerchen/pyInfinityFlow) and on PyPI (https://pypi.org/project/pyInfinityFlow/). Package documentation with tutorials on a test dataset is available by Read the Docs (pyinfinityflow.readthedocs.io). The scripts and data for reproducing the results are available at https://github.com/KyleFerchen/pyInfinityFlow/tree/main/analysis_scripts, along with the raw flow cytometry input data.