bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance prediction of magnetorheological fluid‐based liquid gating membrane by kriging machine learning method
Authors: Zhang Mengchuang , Jing Yuan , Zhang Jian , Sheng Zhizhi , Hou Yaqi , Xu Jiadai , Chen Baiyi , Liu Jing , Wang Miao , Hou Xu 
Published: January 2022

AbstractA smart liquid gating membrane is a responsive structural material as a pressure‐driven system that consists of solid membrane and dynamic liquid, responding to the external field. An accurate prediction of rheological and mechanical properties is important for the designs of liquid gating membranes for various applications. However, high predicted accuracy by the traditional sequential method requires a large amount of experimental data, which is not practical in some situations. To conquer these problems, artificial intelligence has promoted the rapid development of material science in recent years, bringing hope to solve these challenges. Here we propose a Kriging machine learning model with an active candidate region, which can be smartly updated by an expected improvement probability method to increase the local accuracy near the most sensitive search region, to predict the mechanical and rheological performance of liquid gating system with an active minimal size of experimental data. Besides this, this new machine learning model can instruct our experiments with optimal size. The methods are then verified by liquid gating membrane with magnetorheological fluids, which would be of wide interest for the design of potential liquid gating applications in drug release, microfluidic logic, dynamic fluid control, and beyond.
Iron anode‐based aqueous electrochemical energy storage devices: Recent advances and future perspectives
Authors: Jiang Jian , Liu Jinping 
Published: January 2022

AbstractThe ever‐growing demands for green and sustainable power sources for applications in grid‐scale energy storage and portable/wearable devices have enabled the continual development of advanced aqueous electrochemical energy storage (EES) systems. Aqueous batteries and supercapacitors made of iron‐based anodes are one of the most promising options due to the remarkable electrochemical features and natural abundance, pretty low cost and good environmental friendliness of ferruginous species. Though impressive advances in developing the state‐of‐the‐art ferruginous anodes and designing various full‐cell aqueous devices have been made, there still remain key issues and challenges on the way to practical applications, which urgently need discussing to put forwards possible solutions. In this review, rather than focusing on the detailed methods to optimize the iron anode, electrolyte, and device performance, we first give a comprehensive review on the charge storage mechanisms for ferruginous anodes in different electrolyte systems, as well as the newly developed iron‐based aqueous EES devices. The deep insights, involving the inherent failure mechanisms and corresponding modification/optimization strategies toward iron anodes for the development of high‐performance aqueous EES devices, will then be discussed. The advances in applying iron‐based aqueous EES devices for emerging fields such as flexible/wearable electronics and functionalized building materials will be further outlined. Last, future research trends and perspectives for maximizing the potential of current iron anodes and devices as well as exploiting brand‐new iron‐based aqueous EES systems are put forward.
A novel software framework for magnetic particle imaging reconstruction
Authors: Shen Yusong , Hu Chaoen , Zhang Peng , Tian Jie , Hui Hui 
Published: January 2022

AbstractMagnetic particle imaging is a novel tomographic imaging technique that enables noninvasive and highly sensitive imaging of superparamagnetic iron oxide nanoparticles distributed in living subjects. Several studies have reported on the development of reconstruction algorithms; however, a unified software framework for magnetic particle imaging reconstruction has yet to be developed. Herein, we propose a high‐performance, flexible, and easy‐to‐use magnetic particle imaging reconstruction framework using the Python programming language. The magnetic particle imaging reconstruction framework consists of the data access, preprocessing, image reconstruction, and postprocessing phases. We used the proposed framework to simulate the x‐space and system matrix‐based reconstruction methods with Cartesian and Lissajous scan trajectories. The reconstruction results of an open magnetic particle imaging dataset and a numerically simulated phantom demonstrated that the magnetic particle imaging reconstruction framework provides a reliable and accessible environment for magnetic particle imaging reconstruction, which can be extended and customized.
An additive manufacturing‐based3Dprinted poly ɛ‐caprolactone/alginate sulfate/extracellular matrix construct for nasal cartilage regeneration
Authors: Zare Pariya , Pezeshki‐Modaress Mohamad , Davachi Seyed Mohammad , Chahsetareh Hadi , Simorgh Sara , Asgari Negin , Haramshahi Mohammad Amin , Alizadeh Rafieh , Bagher Zohreh , Farhadi Mohamad 
Published: January 2022

AbstractVarious composite scaffolds with different fabrication techniques have been applied in cartilage tissue engineering. In this study, poly ɛ‐caprolactone (PCL) was printed by fused deposition modeling method, and the prepared scaffold was filled with Alginate (Alg): Alginate‐Sulfate (Alg‐Sul) hydrogel to provide a better biomimetic environment and emulate the structure of glycosaminoglycans properly. Furthermore, to enhance chondrogenesis, different concentrations of decellularized extracellular matrix (dECM) were added to the hydrogel. For cellular analyses, the adipose‐derived mesenchymal stem cells were seeded on the hydrogel and the results of MTT assay, live/dead staining, and SEM images revealed that the scaffold with 1% dECM had better viscosity, cell viability, and proliferation. The study was conducted on the optimized scaffold (1% dECM) to determine mechanical characteristics, chondrogenic differentiation, and results demonstrated that the scaffold showed mechanical similarity to the native nasal cartilage tissue along with possessing appropriate biochemical features, which makes this new formulation based on PCL/dECM/Alg:Alg‐Sul a promising candidate for further in‐vivo studies.
Combination product of dermal matrix, preconditioned human mesenchymal stem cells and timolol promotes wound healing in the porcine wound model
Authors: Yang Hsin‐ya , Fierro Fernando , Yoon Daniel J. , Gallegos Anthony , Osborn Stephanie L. , Nguyen Alan V. , Peavy Thomas R. , Ferrier William , Talken Linda , Ma Betty W. , Galang Kristopher G. , Medina Lopez Andrea , Fregoso Daniel R. , Stewart Heather , Kurzrock Eric A. , Soulika Athena M. , Nolta Jan A. , Isseroff R. Rivkah 
Published: January 2022

AbstractA combination product of human mesenchymal stem/stromal cells (MSCs) embedded in an extracellular matrix scaffold and preconditioned with hypoxia and the beta‐adrenergic receptor antagonist, timolol, combined with sustained timolol application post implantation, has shown promising results for improving wound healing in a diabetic mouse model. In the present study, we extend those findings to the more translatable large animal porcine wound model and show that the combined treatment promotes wound reepithelialization in these excisional wounds by 40.2% and increases the CD31 immunostaining marker of angiogenesis compared with the matrix control, while maintaining an accumulated timolol plasma concentration below the clinically safe level of 0.3 ng/mL after the 15‐day course of topical application. Human GAPDH was not elevated in the day 15 wounds treated with MSC‐containing device relative to wounds treated with matrix alone, indicating that the xenografted human MSCs in the treatment do not persist in these immune‐competent animals after 15 days. The work demonstrates the efficacy and safety of the combined treatment for improving healing in the clinically relevant porcine wound model.
Inflammatory tissue reactions around aseptically loose cemented hip prostheses: A retrieval study of the Spectron EF stem with Reflection All‐Poly acetabular cup
Authors: Wolf Susann , Johannessen Anne Christine , Ellison Peter , Furnes Ove , Hallan Geir , Rogg Katharina , Skarstein Kathrine , Høl Paul Johan 
Published: January 2022

AbstractThe cemented Spectron EF stem in combination with the cemented non‐crosslinked Reflection All‐Poly cup showed a high rate of mid‐term aseptic loosening. However, the failure mechanisms are not fully known. We assessed the inflammatory tissue reactions and wear particles in periprosthetic tissues, implant wear and blood metal ion levels in 28 patients with failed implants. Histological analysis showed a macrophage pre‐dominant pattern with randomly distributed lymphocytes, with various amounts of neutrophils and giant cells. The number of different cell types in the tissue samples from patients in the cup group and in the stem group was similar. Wear particles, mainly ZrO2, CoCrMo, and polyethylene particles of different sizes and shapes, were associated with macrophages/giant cells, and total particle load/mm2 was higher in cases of stem loosening. The Spectron EF stems were heavily worn, abraded, and polished. Stem abrasion correlated with metal ion concentrations in blood. The median polyethylene wear rate of the Reflection cups was 0.23 mm/year. The high proximal roughness of the Spectron EF stem resulted in excessive cement wear during loosening. The resulting inflammatory tissue responses to the degradation products both from the cup and the stem led to massive osteolysis and subsequent implant loosening.
Multifactorial assessment of neutrophil chemotaxis efficiency from a drop of blood
Authors: Ellett Felix , Marand Anika L , Irimia Daniel 
Published: January 2022

AbstractFollowing injury and infection, neutrophils are guided to the affected site by chemoattractants released from injured tissues and invading microbes. During this process (chemotaxis), neutrophils must integrate multiple chemical signals, while also responding to physical constraints and prioritizing their directional decisions to generate an efficient immune response. In some clinical conditions, human neutrophils appear to lose the ability to chemotax efficiently, which may contribute both directly and indirectly to disease pathology. Here, a range of microfluidic designs is utilized to test the sensitivity of chemotaxing neutrophils to various perturbations, including binary decision-making in the context of channels with different chemoattractant gradients, hydraulic resistance, and angle of approach. Neutrophil migration in long narrow channels and planar environments is measured. Conditions in which neutrophils are significantly more likely to choose paths with the steepest chemoattractant gradient and the most direct approach angle, and find that migration efficiency across planar chambers is inversely correlated with chamber diameter. By sequential measurement of neutrophil binary decision-making to different chemoattractant gradients, or chemotactic index in sequential planar environments, data supporting a model of biased random walk for neutrophil chemotaxis are presented.
Interactions of diclazuril enantiomers with serum albumins: Multi‐spectroscopic and molecular docking approaches
Authors: Chen Ran , He Ru‐Jian , Guo Dong , Zhang Zhi‐Feng , Zhang Wei‐Guang , Fan Jun 
Published: January 2022

AbstractIn this work, multi‐spectroscopic and molecular docking methods have been conducted in the investigation of enantioselective interactions between diclazuril enantiomers and human/bovine serum albumins (HSA/BSA). The binding constants between serum albumins (SAs) and diclazuril enantiomers revealed that SAs exhibited stronger binding affinity for (R)‐diclazuril than (S)‐enantiomer. In addition, the fluorescence quenching of SAs induced by diclazuril enantiomers was ascribed to static quenching mechanism, in which hydrogen bonds and Van der Waals forces were the main interactions. According to the thermodynamic study, binding of diclazuril enantiomers and SAs was an exothermic process driven by enthalpy change. Then, circular dichroism spectroscopy of SAs with diclazuril enantiomers revealed that the SAs conformation had changed in the presence of diclazuril. Moreover, molecular docking technology was applied in exploration of interactions between SAs and diclazuril enantiomers. The docking energy between SAs and (R)‐diclazuril was larger than (S)‐diclazuril, which indicated that the affinity of SAs with (R)‐diclazuril was stronger than (S)‐enantiomer. This work may provide valuable information for explaining differences in pharmacokinetics and residue elimination of diclazuril enantiomers in living organisms.
The role of general self‐efficacy in intimate partner violence and symptoms of posttraumatic stress disorder among women veterans
Authors: Webermann Aliya R. , Dardis Christina M. , Iverson Katherine M. 
Published: January 2022

AbstractWhereas some prior studies have assessed associations between general self‐efficacy, intimate partner violence (IPV) experiences, and posttraumatic stress disorder (PTSD) symptoms cross‐sectionally, there is limited research investigating the potential directions of these effects or the longitudinal effects over multiple assessment points. We investigated the role of general self‐efficacy in experiences of IPV and PTSD symptoms across time among 411 women veterans of the U.S. Armed Forces. Online survey data were collected at baseline (Time 1; T1), 18 months after baseline (Time 2; T2), and 2 years after baseline (Time 3; T3). Structural equation models were used to test hypotheses that T2 general self‐efficacy would mediate reciprocal associations between IPV experiences and PTSD symptoms while controlling for T2 IPV experiences, T1 PTSD symptoms, and demographic and military covariates (i.e., age, military sexual trauma, and combat exposure). Specifically, we hypothesized that T2 general self‐efficacy would mediate the association between (a) T1 IPV experiences and T3 IPV experiences, (b) T1 IPV experiences and T3 PTSD symptoms, (c) T1 PTSD symptoms and T3 IPV experiences, and (d) T1 PTSD symptoms and T3 PTSD symptoms. Findings revealed that T1 PTSD symptoms predicted lower T2 general self‐efficacy, and, in turn, lower T2 general self‐efficacy was associated with higher T3 IPV experiences, 95% CI [0.06, 0.41]; no other hypotheses were supported. The findings speak to the importance of clinical interventions which promote general self‐efficacy as well as assess and treat PTSD symptoms among women who experience IPV.
Nonmagnetic Spoof Plasmonic Isolator Based on Parametric Amplification
Authors: Gao Xinxin , Zhang Jingjing , Ma Qian , Cui Wen Yi , Ren Yi , Luo Yu , Cui Tie Jun 
Published: January 2022

AbstractDriven by the miniaturization of integrated electronics, research on spoof plasmonic circuits has recently aroused widespread interest. On the other hand, nonreciprocal devices, such as isolators and circulators, are key components of integrated electronic systems. However, bulky magnets required to realize isolation and circulation prevent the application of traditional nonreciprocal technologies to integrated systems. Here, parametric amplification is explored to achieve magnetic‐free plasmonic isolation, and an ultrathin reconfigurable spoof plasmonic isolator is realized experimentally. In this isolation system, the forward signal amplified by a spoof plasmonic parametric amplifier is coupled to a second linear plasmonic waveguide via a spoof localized surface plasmon resonator, whereas the transmission from the inverse direction is prohibited, giving rise to a measured isolation ratio of up to 20 dB. By tuning the nonlinear phase‐matching condition through external bias voltage, multifrequency isolation of spoof surface plasmon polariton (SSPP) signals is also realized experimentally. This work demonstrates the possibility of producing miniaturized and low‐cost nonreciprocal SSPP devices, holding great promise for applications in nonmagnetic information processing and radar detection.
Re‐attainable lubrication films at 500°C converted through the positional polymerisation of DCDPS on the preset Na2S coating
Authors: Bi Chenyang , Guo Qiang , Yang Qixuan 
Published: January 2022

AbstractAdding solid DCDPS into the high‐temperature system, it would be gasified by the ambient temperature and convert the preset Na2S coating into polyphenylene sulfide sulfone lubrication films through positional polymerisation. During the 10 min ball‐disk tribological test at 500°C, lubrication films would form on the disk surface initially, then attach to the friction points of the balls, producing transfer films that significantly reduce the coefficient of friction (COF) and wear, especially the wear on the steel disk. In the 30 min test, the lubrication could be re‐attained with COF not exceeding 0.2 by simply supplementing DCDPS again at 10 min. This result can be inferred as the re‐polymerisation between the degradation products from the earlier stage and the newly added DCDPS. Thus, the position of the lubrication films formed during the high‐temperature friction could be controlled by preset coating, and the high‐temperature lubrication could be extended or re‐attained by replenishing the other monomer.
Larger = more attractive? Image size on food packages influences purchase likelihood
Authors: Huang Jingya , Wang Liangyan , Chan Eugene Y. 
Published: January 2022

AbstractThe current research demonstrates that larger (vs. smaller) food images on food packages can positively influence consumers' initial product attitudes toward the food (i.e., purchase likelihood). Three studies examine the predictions. Compared with smaller food images, larger ones improve purchase likelihood (Studies 1 and 2). The effect is mediated by mental imagery (Study 2). However, this effect is only observed for vice (vs. virtue) foods (Study 3). Investigating the impact of the food image size on food packages has rarely been explored, but as food packages are likely one of the first stimuli that consumers notice about food on store shelves, its role on initial product attitudes warrants investigation. We discuss how our findings can offer insights into rising obesity rates, thus calling for regulation of food image size on packages amongst policy officials. We discuss the limitations of our work and also offer questions for future research on food consumption, health, and policy.
Methods for quantification of glycopeptides by liquid separation and mass spectrometry
Authors: Yin Haidi , Zhu Jianhui 
Published: January 2022

AbstractRecent advances in analytical techniques provide the opportunity to quantify even low‐abundance glycopeptides derived from complex biological mixtures, allowing for the identification of glycosylation differences between healthy samples and those derived from disease states. Herein, we discuss the sample preparation procedures and the mass spectrometry (MS) strategies that have facilitated glycopeptide quantification, as well as the standards used for glycopeptide quantification. For sample preparation, various glycopeptide enrichment methods are summarized including the columns used for glycopeptide separation in liquid chromatography separation. For MS analysis strategies, MS1 level‐based quantification and MS2 level‐based quantification are described, either with or without labeling, where we have covered isotope labeling, TMT/iTRAQ labeling, data dependent acquisition, data independent acquisition, multiple reaction monitoring, and parallel reaction monitoring. The strengths and weaknesses of these methods are compared, particularly those associated with the figures of merit that are important for clinical biomarker studies and the pathological and functional studies of glycoproteins in various diseases. Possible future developments for glycopeptide quantification are discussed.
De novo DYNC1H1 mutation causes infantile developmental and epileptic encephalopathy with brain malformations
Authors: Su Tangfeng , Yan Yu , Hu Qingqing , Liu Yan , Xu Sanqing 
Published: January 2022

AbstractBackgroundThe human dynein cytoplasmic 1 heavy chain 1 (DYNC1H1) gene encodes a large subunit of the cytoplasmic dynein complex. DYNC1H1 mutations are associated with various neurological diseases involving both the peripheral and central nervous systems.MethodsThe clinical characteristics and genetic data of an infant carrying the de novo DYNC1H1 variant identified by trio exome sequencing were analyzed. Patients with epilepsy with DYNC1H1 mutations were summarized by reviewing the literature.ResultsWe first identified an infant presenting with epileptic spasms harboring a de novo missense mutation in DYNC1H1 (c.874C>T; p. Arg292Trp), once reported in an adult case, and further summarized another 54 patients with seizures or epilepsy caused by DYNC1H1 pathogenic variants in the literature. Refractory epilepsy, intellectual disability, and cortical developmental malformations are crucial characteristics of patients with developmental and epileptic encephalopathy (DEE) caused by DYNC1H1 variants. Notably, epileptic spasms in this case were resistant to multiple anti‐seizure medications, corticosteroids, ketogenic diet, and vagus nerve stimulation treatment. The child also showed cortical gyrus malformation and global developmental delay.ConclusionDYNC1H1 variants can cause infantile developmental and epileptic encephalopathy, in which Arg292Trp is a mutation hotspot of the DYNC1H1 gene. Epileptic seizures in this type of DYNC1H1‐related DEE are mostly resistant to multiple antiepileptic strategies and need to explore optimized treatments.
Technical note: Design and initial evaluation of a novel physical breast phantom to monitor image quality in digital breast tomosynthesis
Authors: Fitton Isabelle , Noël Alain , Minassian Jacques , Zerhouni Moustafa , Wojak Julien , Adel Mouloud , Fournier Laure 
Published: January 2022

AbstractPurposeTo describe the creation process of a new breast phantom specifically designed to monitor quality control (QC) metrics consistency over several months in digital breast tomosynthesis (DBT).MethodsThe semi‐anthropomorphic Tomomam® phantom was designed and evaluated twice monthly on a single Hologic Selenia Dimensions® unit over 5 months. The phantom is manufactured in a one‐piece epoxy resin homogeneous material as the basis for manufacturing, simulating breast tissue as 50% equivalent glandular (GL)/50% equivalent adipose (AD) and compressed thickness of 60 mm. The distribution of test objects on different planes inside the phantom should allow the quantification of 10 image quality metrics: reproducibility, signal difference‐to‐noise ratio (SDNR), geometric distortions in the plane, missing or added tissue at chest wall, at the top and bottom of images stack and lateral sides, in‐plane homogeneity, image scoring, artifact spread function (ASF), geometric distortions in the volume. SDNR was quantified according to GL and AD tissues. Tolerance criteria per parameter were described to analyze results over the study time.ResultsMean scores were equal to 15.4, 15.0, and 11.6 for masses, microcalcifications, and fibers, respectively. A large difference between GL and AD tissues for SDNR metrics was noted over the study time: the best results were obtained from GL tissues. Both geometric distortions and local homogeneity in the plane conformed to expected values. The mean volume value of the triangular prism was 11.3% greater than the expected value due to a reconstruction height equal to 66 mm instead of 60 mm.ConclusionsIn this study, we monitored several QC metrics discriminating GL and AD tissues by using a new breast phantom developed by us. The preliminary clinical tests demonstrated that the Tomomam® phantom could be used to reliably and efficiently track 10 QC metrics with a single acquisition. More data need to be acquired to refine tolerance criteria for some metrics.