bluuebunny/crossref_metadata_2025_split huggingface dataset:
Skin‐customized wearable device adhesive without skin damage
Authors: Lee Bom , Park Min‐Ho , Kim Bong Hoon 
Published: November 2023

AbstractWearable medical devices are gaining popularity owing to their potential for seamless integration with the human body and long‐term monitoring of physiological activity. However, conventional adhesives were developed based on the assumption of healthy adult skin and may not account for variations in skin characteristics across different species, environments, and body parts. Consequently, the adhesive strength of wearable devices may significantly differ depending on the skin surface to which they are attached, potentially causing skin damage. In this study, we developed a customized wearable‐device adhesive without skin damage by analyzing the characteristics of the skin surface based on oil and water content and roughness according to different species and parts. Our findings demonstrated that increased root‐mean‐square roughness of the skin surface led to reduced contact area and decreased adhesion force between the polydimethylsiloxane (PDMS) pad and skin surface. Surprisingly, hairless skin exhibited 1.5 times higher adhesion strength than hairy skin due to stronger molecular forces resulting from the higher surface energy of the skin. Additionally, the hole‐patterned PDMS pad on sweaty skin displayed improved adhesion properties compared to the cylinder‐patterned PDMS pad. Therefore, customized wearable adhesives provide an effective strategy for developing skin‐damage‐free wearable devices.
Insight into the synthesis and thermomechanical properties of “short‐long” type biobased aliphatic polyesters
Authors: Sahu Pranabesh , Sharma Lav , Dawsey Tim , Gupta Ram K. 
Published: November 2023

AbstractA series of biobased “short‐long” chain aliphatic polyesters having high molecular weight were successfully synthesized using dimethyl sebacate and diols with different carbon chain lengths via a two‐step melt‐polycondensation method by using titanium butoxide as a catalyst. The diols chain length and its odd‐even effect on the structure–property relationship, crystallinity, and thermomechanical properties of the polyesters were systemically investigated. The synthesized polyesters displayed weight‐average molecular weight between 23,600 to 72,900 g/mol and a maximum intrinsic viscosity of 0.933 dL/g. With increasing the diol chain length, the molecular weight of the polyesters increased linearly, except for poly(butylene sebacate) (PBS). Altogether, the “odd‐even” effect of the diol chain on the crystalline (Tc)/melting temperature (Tm), and melting/ crystallization enthalpies of the polyester's were observed. Poly(pentylene sebacate) (PPeS) has the highest weight‐average molecular weight of 72,900 Da, Tm of ∼55.4°C, degradation temperature (Td,max) of about 404°C, and highest storage modulus (E′ at 25°C) of 661 MPa compared to other short‐chain polyesters. PBS and PPeS showed the appearance of sharp intensity peaks from XRD diffraction patterns, indicating higher crystallinity in the material, in accordance with crystallization enthalpies (ΔHc) values from the differential scanning calorimetry (DSC) thermograms. These fabricated biobased polymers with 100% bio‐content, low melting temperature range, rapid crystallization, and high thermal stability suggest good processability and can offer an alternative option to nonrenewable thermoplastic polyesters for potential applications.
Chitosan‐gelatin/hydroxyapatite‐based scaffold associated with mesenchymal stem cells differentiate into osteoblasts improves the surface of the bone lesion in mice C57BL/6J
Authors: Carvalho Janicy Arantes , Jayme Cristiano Ceron , Matsuo Flávia Sayuri , Tedesco Antonio Claudio 
Published: November 2023

AbstractExtensive injuries to bone tissue are still considered a significant clinical challenge; therefore, developing new bone tissue engineering (BTE) strategies is still necessary. This work aims to construct and characterize a chitosan‐gelatin/hydroxyapatite‐based (CG/H) scaffold to provide well‐design support for mesenchymal stem cell (MSC) growth and differentiation to osteoblasts. First, the CG/H scaffolds are construct by freeze‐drying. Then, scanning electron microscopy (SEM), Fourier transform infrared spectroscopy, x‐ray diffraction, water uptake, and degradation profiles evaluate the material's surface. In addition, the CG/H morphological, biochemical, and MSC adhesion processes and growth behavior are also assess, indicating reasonable adhesion rates to the surface, low material cytotoxicity, and excellent alkaline phosphatase activity compared to control on the cellular framework. Based on these results, we obtain a highly biocompatible scaffold and that can support osteoblast differentiation. Finally, the in vivo studies demonstrate the CG/H scaffold with MSC adhere is capable of differentiating into osteoblasts, and the application of this scaffold is able to significantly enhance the closure of the bone lesion. Therefore, the CG/H scaffold has potential clinical application for bone regeneration.
Quaternarized cationic poly[(vinyl chloride)‐co‐(vinyl chloroacetate)] binary copolymer as non‐migration antibacterial additive in PVC matrix
Authors: Jian Xiyan , Sun Jiaxin , Gu Xiaojing , Song Changtong , Zhang Xianhong , Yang Wantai 
Published: November 2023

AbstractAntibacterial polyvinyl chloride (PVC) materials have drawn considerable attention since their wide application in medical devices. The objective of this study is to develop a novel quaternary ammonium cationic vinyl chloride copolymer, which can be potentially used as antibacterial additive in PVC matrix. Initially, the low average‐number molecular weight poly[(vinyl chloride)‐co‐(vinyl chloroacetate)] (PVC‐co‐PVCA) is synthesized by precipitation copolymerization. Subsequently, quaternary ammonium cationic moieties with different lengths of alkyl chains are introduced into the copolymers via quaternization reaction between alkyl‐dimethyl tertiary amines with acyl chloride groups. The successful synthesis of PVC‐co‐PVCA and quaternarized copolymers are carefully confirmed by Fourier transform infrared spectroscopy, nuclear magnetic resonance (1H NMR), and x‐ray photoelectron spectroscopy. The antibacterial behaviors of the quaternarized copolymers and its blends with PVC are investigated. The results reveal that all the PVC blends containing at least 5% by weight of quaternarized copolymer have superior bacteriostasis ratio (>99.6%) against both Escherichia coli (E.coli) and Staphylococcus aureus (S. aureus) due to the incorporation of quaternary ammonium groups. Meanwhile, the cationic copolymer exhibits excellent antifouling and much lower migration rate (<0.4%). These interesting consequences endow the quaternarized copolymers as alternative antibacterial agents possess a great deal of potential for use in PVC materials.
Integrative analysis of genome‐wide association study and transcriptomics to identify potential candidate genes influencing drip loss in Beijing Black pigs
Authors: Gao Hongmei , Tian Jingjing , Zhang Run , Liu Xiance , Liu Hai , Zhao Fuping , Xue Zhenhua , Wang Lixian , Jing Xitao , Zhang Longchao 
Published: November 2023

AbstractUnderstanding the genetic factors related to meat drip loss is of great importance for animal breeding and production. In this study, we employed a combination of genome‐wide association study (GWAS) mapping and RNA sequencing (RNA‐seq) data to effectively identify potentially functional single nucleotide polymorphisms (SNPs) as well as candidate genes associated with drip loss (DL) in Beijing Black pigs. Initially, we conducted a single‐ and multi‐trait GWAS on drip loss traits in 441 Beijing Black pigs at 24 (DL24) and 48 (DL48) hours postmortem using the Illumina pig 50K SNP chip. Five SNPs with annotations for four genes (FGGY, LHFPL6, OSBPL1A, and NMNAT3) were consistently identified in single or multiple trait GWAS results, indicating their potential pleiotropic effects on drip loss. Next, a comprehensive comparative transcriptomic analysis was performed on samples of Beijing Black pigs exhibiting extremely high and low drip loss, resulting in the identification of 21 differentially expressed genes (DGEs) as potential candidates. Additionally, protein–protein interaction (PPI) network analysis revealed reciprocal regulatory relationships between FOXO1, OSBPL1A, DOCK1 (identified from GWAS) and the candidate DGEs obtained from RNA‐seq data. Therefore, we propose that these genes may impact drip loss traits through gene interactions. In conclusion, our integrative analysis screened candidate genes that may affect the drip loss traits in Beijing Black pigs, which provides crucial insights into the molecular mechanisms of drip loss and serves as a theoretical reference for improving meat quality in Beijing Black pigs.
Using Polygenic Risk Scores to Aid Diagnosis of Patients With Early Inflammatory Arthritis: Results From the Norfolk Arthritis Register
Authors: Hum Ryan M. , Sharma Seema D. , Stadler Michael , Viatte Sebastien , Ho Pauline , Nair Nisha , Shi Chenfu , Yap Chuan Fu , Soomro Mehreen , Plant Darren , Humphreys Jenny H. , MacGregor Alexander , Yates Max , Verstappen Suzanne , Barton Anne , Bowes John ,   all NOAR collaborators
Published: November 2023

ObjectiveThere is growing evidence that genetic data are of benefit in the rheumatology outpatient setting by aiding early diagnosis. A genetic probability tool (G‐PROB) has been developed to aid diagnosis has not yet been tested in a real‐world setting. Our aim was to assess whether G‐PROB could aid diagnosis in the rheumatology outpatient setting using data from the Norfolk Arthritis Register (NOAR), a prospective observational cohort of patients presenting with early inflammatory arthritis.MethodsGenotypes and clinician diagnoses were obtained from patients from NOAR. Six G‐probabilities (0%–100%) were created for each patient based on known disease‐associated odds ratios of published genetic risk variants, each corresponding to one disease of rheumatoid arthritis, systemic lupus erythematosus, psoriatic arthritis, spondyloarthropathy, gout, or “other diseases.” Performance of the G‐probabilities compared with clinician diagnosis was assessed.ResultsWe tested G‐PROB on 1,047 patients. Calibration of G‐probabilities with clinician diagnosis was high, with regression coefficients of 1.047, where 1.00 is ideal. G‐probabilities discriminated clinician diagnosis with pooled areas under the curve (95% confidence interval) of 0.85 (0.84–0.86). G‐probabilities <5% corresponded to a negative predictive value of 96.0%, for which it was possible to suggest >2 unlikely diseases for 94% of patients and >3 for 53.7% of patients. G‐probabilities >50% corresponded to a positive predictive value of 70.4%. In 55.7% of patients, the disease with the highest G‐probability corresponded to clinician diagnosis.ConclusionG‐PROB converts complex genetic information into meaningful and interpretable conditional probabilities, which may be especially helpful at eliminating unlikely diagnoses in the rheumatology outpatient setting.image
Adaptive prescribed performance sliding mode control based on time‐varying barrier function
Authors: Li Zhiyu , Tian Bailing , Zhang Xiuyun 
Published: November 2023

AbstractIn this paper, a nonoverestimated adaptive prescribed performance sliding mode control algorithm based on time‐varying barrier function is proposed, for high‐order integrator systems subject to bounded but unknown disturbances. The developed algorithm has some remarkable features. Firstly, it is able to ensure that the system states are confined in a performance function from the initial instant. Secondly, it is easy‐implementable and some exponential stability and practical fixed‐time stability algorithms can be easily obtained. Finally, with the system states to be known, the size of the performance function is independent of the upper bound of the external disturbance. To show the efficiency of the developed algorithm, some numerical simulations are provided.
Decomposition of the central structure of NGC 2273 in the NIR: A case study
Authors: Schey L. , Heidt J. , Pramskiy A. , Thompson D. , Agapito G. , Esposito S. , Gredel R. , Miller D. , Pinna E. , Puglisi A. , Rossi F. , Seifert W. , Taylor G. , Quirrenbach A. 
Published: November 2023

AbstractThe Seyfert 2 galaxy NGC 2273 is a prime target to explore how active nuclei can be fed. It has a star‐forming innermost nuclear ring with a radius of 0.33kpc from where material may be funneled to the supermassive black hole in its center. In this article, we discuss high‐resolution adaptive optics aided JHKs images of NGC 2273 taken with the Large Binocular Telescope. Using Galfit we decomposed the innermost part of NGC 2273 into a core, a disk, and a ring using 58 parameters, 44 of them were used to describe the ring. The stellar mass of the ring was found to be 12 , a factor of 10 higher than its molecular gas mass. A continuous gas flow via the main stellar bar of NGC 2273 during the lifetime of the bar of up to 10
is required to provide the fuel for the formation of the stars unless the star formation efficiency is on the order of 10%. This does not affect the fueling of the nuclear source as the amount of molecular gas required for this low‐luminosity active galaxy to achieve this is on the order of only.
Probability and confidence: How to improve communication of uncertainty about uncertainty in intelligence analysis
Authors: Duke Misty C. 
Published: November 2023

AbstractIntelligence agencies communicate uncertainty to decision‐makers through verbal probability phrases that correspond to numerical ranges (i.e., probability lexicons) and ordinal levels of confidence. However, decision‐makers may misinterpret the relationship between these concepts and form inappropriate interpretations of intelligence analysts' uncertainty. In two experiments, four ways of conveying second‐order probability to decision‐makers were compared: (a) probability and confidence phrases written in the text of a report, (b) the addition of a probability lexicon, (c) the addition of a probability lexicon that varied numerical ranges according to the level of confidence (i.e., revised lexicon), and (d) a probability phrase written in text followed by a numerical range that varied according to the level of confidence. The revised lexicon was expected to improve interpretations of second‐order probability. The 275 participants in Experiment 1 and 796 participants in Experiment 2 provided numerical estimates corresponding to analytic judgments provided in descriptions about three overseas military operations and also indicated their support for approving or delaying the operations. The results demonstrated that providing the numerical range in the text of the report or providing a probability lexicon, improved interpretations of probability phrases above the verbal phrase‐only condition, but not interpretations of confidence. Participants were unable to correctly interpret confidence with respect to the precision of their estimate intervals and their decisions about the operations. However, in Experiments 2 and 3 the effects on these variables of providing decision‐makers with information about the source of the analyst's uncertainty were examined. In Experiment 3 (n = 510), providing this information improved correspondence between confidence level and approval of the operation. Recommendations are provided regarding additional methods of improving decision‐makers' interpretation of second‐order probability conveyed in intelligence reporting.
A systematic review and meta‐analysis of school and cognitive function domains of health‐related quality of life measures for children and young adults with congenital heart disease
Authors: Mamasoula Chrysovalanto , Pennington Lindsay , Adesanya Adenike Motunrayo , Rankin Judith 
Published: November 2023

AbstractBackgroundResearch on cognitive and school functioning domains of health‐related quality of life (HRQOL) for children and adolescents with congenital heart disease (CHD) presents inconsistencies.ObjectivesTo summarize and synthesize data on school and cognitive function domains of HRQOL for children and young people (CYP) with CHD.MethodsFive electronic databases MEDLINE, Scopus, PsycINFO, EMBASE, ERI, and citations were systematically searched. We included original‐research articles reporting the cognitive and school function domains of HRQOL for children and young people with CHD (child and parent reports included). Both fixed and random‐effects meta‐analyses were performed to estimate pooled mean test scores for cognitive and school function. A total of 34 studies met our inclusion criteria and were synthesized narratively, 17 studies were included in formal meta‐analyses.ResultsSelf‐reported cognitive function was lower for children and young people with CHD than healthy controls (SMD −0.28 (−0.42, −0.15)). Parental reports demonstrated similar results to self‐reports (SMD −0.54 (−0.91, −0.18)). School function was lower in children and young people with CHD compared with healthy controls in self‐reported (SMD −0.30 (−0.48, −0.13)) and parent reported HRQOL (SMD −0.49 (0.64, −0.36)). Self‐reported school function domain scores were lower for young (<8 years) (SMD −0.65 (−1.32, 0.03)) and older children (8–18 years) (SMD −0.25 (−0.47, −0.03)) with CHD than their peers. Similarly, parents reported lower school function domain scores for young (<8 years) (SMD −0.68 (−1.29, −0.07)) and older (8–18 years) (SMD −0.46 (−068, −0.25)) children with CHD than typically developing peers.ConclusionChildren born with CHD may experience lower cognitive and school function HRQOL scores than healthy controls (self and proxy‐report). This is consistent with a subgroup meta‐analysis of young (<8 years) and older (8 years old or more) children with CHD reporting lower school function scores compared to controls.
Assessment of radio frequency fields in the 2.45 GHz band produced by smart home devices
Authors: McKenzie Raymond J. , Iskra Steve , Knipe Phillip 
Published: November 2023

AbstractThis paper describes the assessment of the electromagnetic fields produced by consumer “smart” devices used to control and monitor everyday equipment and appliances in a modern “smart” home. The assessment is based on the careful measurement of fields produced by a range of such devices in a laboratory environment configured to operate in a condition simulating high user activity. All devices included in this study operate in the 2.4 GHz band utilizing either Wi‐Fi or Bluetooth connectivity. Overall results indicate very low levels of electromagnetic fields for all IoT smart devices in terms of human exposure safety standards (typically much less than 1%) with very low duty cycles (also less than 1%) resulting in even lower time‐averaged exposure levels. These low levels of exposure, along with rapid reduction of levels with distance from the devices, suggests that the cumulative effect of multiple devices in a “smart” home are not significant.
Pure red upconverted and near‐infrared luminescence properties of Er3+‐doped SnO2 nanocrystals for lighting applications
Authors: Kalaivani Vinayakam , Kagola Upendra Kumar , Rajeswari Parnandi Venkata , Kaleemulla Shaik , Praveena Ravipati , Vijaya Navoori 
Published: November 2023

AbstractTin oxide (SnO2) nanocrystalline powders doped with erbium ion (Er3+) in different molar ratios (0, 3, 5, and 7 mol%) were prepared using a solid‐state reaction technique. These samples were characterized by X‐ray diffraction (XRD), scanning electron microscopy (SEM), ultraviolet‐visible absorption, visible upconversion, and near‐infrared luminescence techniques. XRD analysis revealed the tetragonal rutile structure of SnO2 and the average crystallite size was about 32 nm. From Tauc's plots, it was confirmed that the substitution of Er3+ ions into the SnO2 host lattice resulted in the narrowing its band gap. Optical absorption bands at 520 and 654 nm correspond to the 4f electron transitions of Er3+ further confirming visible light absorption. Infrared luminescence spectra showed a broad band centred at 1536 nm which is assigned to the 4I13/2 → 4I15/2 transition of Er3+. Visible upconverted emission spectra under 980 nm excitation exhibit a strong red luminescence with a main peak at 672 nm which is attributed to the 4F9/2 → 4I15/2 transition of Er3+. Power‐dependent upconversion spectra confirmed that two photons participated in the upconversion mechanism. Enhancement in the intensities of both visible and infrared luminescence was observed when raising the concentration. The results pave the way for the potential applications of these nanocrystalline powders in energy harvesting applications such as infrared light upconverting layer in solar cells, light emitting diodes, infrared broadband sources and amplifiers, and biological labelling.
Robust method for chromatogram shape analysis to improve early detection of performance drifts and adverse changes in process parameters during purification column operations
Authors: Torres Alexis J. 
Published: November 2023

AbstractThe biopharmaceutical industry is under increased pressure to maximize efficiency, enhance quality compliance, and reduce the cost of drug substance manufacturing. Ways to reduce costs associated with manufacturing of complex biological molecules include maximizing efficiency of chromatography purification steps. For example, process analytical technology (PAT) tools can be employed to improve column resin life, prevent column operating failures, and decrease the time it takes to solve investigations of process deviations. We developed a robust method to probe the shape of the chromatogram for indications of column failure or detrimental changes in the process. The approach herein utilizes raw data obtained from manufacturing followed by a pre‐processing routine to align chromatograms and patch together the different chromatogram phases in preparation for multivariate analysis. A principal component analysis (PCA) was performed on the standardized chromatograms to compare different batches, and resulted in the identification specific process change that affected the profile. In addition, changes in the chromatogram peaks were used to create predictive models for impurity clearance. This approach has the potential for early detection of column processing issues, improving timely resolution in large‐scale chromatographic operations.
Enzymatic hydrolysis allows an integral valorization of Nannochloropsis oceanica resulting in the production of bioactive peptide extracts and an eicosapentaenoic acid enriched fraction
Authors: Cunha Sara A. , Coscueta Ezequiel R. , Alexandre Agostinho M. R. C. , Partidário Ana Maria Carvalho , Fernández Naiara , Paiva Alexandre , Silva Joana Laranjeira , Pintado Manuela E. 
Published: November 2023

AbstractNannochloropsis oceanica is a microalga with relevant protein content, making it a potential source of bioactive peptides. Furthermore, it is also rich in fatty acids, with a special focus on eicosapentaenoic acid (EPA), an omega‐3 fatty acid mainly obtained from marine animal sources, with high importance for human health.N. oceanica has a rigid cell wall constraining protein extraction, thus hydrolyzing it may help increase its components’ extractability. Therefore, a Box–Behnken experimental design was carried out to optimize the hydrolysis.The hydrolysate A showed 67% ± 0.7% of protein, antioxidant activity of 1166 ± 63.7 μmol TE g−1 of protein and an ACE inhibition with an IC50 of 379 μg protein mL−1. The hydrolysate B showed 60% ± 1.8% of protein, antioxidant activity of 775 ± 13.0 μmol TE g−1 of protein and an ACE inhibition with an IC50 of 239 μg protein mL−1. The by‐product showed higher yields of total fatty acids when compared to “raw” microalgae, being 5.22% and 1%, respectively.The sustainable developed methodology led to the production of one fraction rich in bioactive peptides and another with interesting EPA content, both with value‐added properties with potential to be commercialized as ingredients for different industrial applications, such as functional food, supplements, or cosmetic formulations.