bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic Covalent Bond Cross‐Linked Luminescent Silicone Elastomer with Self‐Healing and Recyclable Properties
Authors: Wang Ning , Feng Lei , Xu Xing‐Dong , Feng Shengyu 
Published: February 2022

AbstractTwo aldehyde‐modified tetraphenylene derivatives with different functionality are synthesized and exhibit different fluorescence properties. By incorporating tetraphenylene derivatives into polydimethylsiloxane (PDMS) networks, two elastomers are prepared through dynamic covalent cross‐linking. The elastomers show excellent fluorescence properties, mechanical properties, thermal stability as well as self‐healing and recycle properties. At the same time, the mechanical properties of the elastomers are influenced by the functionality of the tetraphenylene derivatives and the molecular weight of the PDMS. The self‐healing process takes place quickly and the recycling process can be carried out by solution processing and hot pressing. It shows the similar tensile properties between the pristine and healed samples.
Association of stone surgery with patient‐reported complications after spinal cord injury
Authors: Kasabwala Khushabu , Borofsky Michael , Grove Shawn , Lenherr Sara M. , Myers Jeremy B. , Stoffel John T. , Welk Blayne , Elliott Sean P. 
Published: February 2022

AbstractAimsTo determine if a history of urinary stone surgery in individuals with spinal cord injury (SCI) is associated with an increased incidence of SCI‐related complications and lower quality of life (QOL).MethodsThe Neurogenic Bladder Research Group (NBRG) registry is a multicenter, prospective, observational study which measures QOL after acquired SCI. Over 1.5 years, 1479 participants were enrolled and grouped according to history of stone surgery. We evaluated SCI‐related complications, QOL, and associations between patient factors and prior stone surgery using multivariable regression.ResultsParticipants were a median of 11 years post‐SCI and 189 (12.8%) reported prior bladder or kidney stone surgery; 95.8% of these occurred after the SCI. Median time between SCI and first stone was 5.6 years (IQR: 1.8–12.8). Hospitalizations were higher for those with prior stone surgery, with common reasons including UTIs, blood clots, pressure ulcers, and pneumonia (p < 0.001). During the year of observation, the incidence of stone surgery was 17% in those with a prior history of stone surgery and 2% per year in those without prior stone surgery (p < 0.001). Controlling for covariates, bladder management strategy, age, BMI, and years since SCI were associated with history of stone surgery.ConclusionsPeople with SCI and a history of surgical stone disease are at high risk for episodes of recurrent stones and increased hospitalizations, particularly those with kidney stones and indwelling catheter use. Identification of high‐risk patients may guide tailored surveillance for complications and stone prevention strategies.
Thin Film Growth of 3D Sr‐based Metal‐Organic Framework on Conductive Glass via Electrochemical Deposition
Authors: Usman Muhammad , Yang An‐Chih , Inamdar Arif I. , Kamal Saqib , Hsu Ji‐Chiang , Kang Dun‐Yen , Tseng Tien‐Wen , Hung Chen‐Hsiung , Lu Kuang‐Lieh 
Published: February 2022

AbstractIntegration of metal‐organic frameworks (MOFs) as components of advanced electronic devices is at a very early phase of development and the fundamental issues related to their crystal growth on conductive substrate need to be addressed. Herein, we report on the structural characterization of a newly synthesized Sr‐based MOF {[Sr(2,5‐Pzdc)(H2O)2] ⋅ 3 H2O}n (1) and the uniform crystal growth of compound 1 on a conducting glass (fluorine doped tin oxide (FTO)) substrate using electrochemical deposition techniques. The Sr‐based MOF 1 was synthesized by the reaction of Sr(NO3)2 with 2,5‐pyrazinedicarboxylic acid dihydrate (2,5‐Pzdc) under solvothermal conditions. A single‐crystal X‐ray diffraction analysis revealed that 1 has a 3D structure and crystallizes in the triclinic P
space group. In addition, the uniform crystal growth of this MOF on a conducting glass (FTO) substrate was successfully achieved using electrochemical deposition techniques. Only a handful of MOFs have been reposed to grown on conductive surfaces, which makes this study an important focal point for future research on the applications of MOF‐based devices in microelectronics.
Facet‐Control versus Co‐Catalyst‐Control in Photocatalytic H2 Evolution from Anatase TiO2 Nanocrystals
Authors: Qin Shanshan , Shui Lancang , Osuagwu Benedict , Denisov Nikita , Tesler Alexander B. , Schmuki Patrik 
Published: February 2022

AbstractTitanium dioxide (TiO2) and, in particular, its anatase polymorph, is widely studied for photocatalytic H2 production. In the present work, we examine the importance of reactive facets of anatase crystallites on the photocatalytic H2 evolution from aqueous methanol solutions. For this, we synthesized anatase TiO2 nanocrystals with a large amount of either {001} facets, that is, nanosheets, or {101} facets, that is, octahedral nanocubes, and examined their photocatalytic H2 evolution and then repeated this procedure with samples where Pt co‐catalyst is present on all facets. Octahedral nanocubes with abundant {101} facets produce >4 times more H2 than nanosheets enriched in {001} facets if the reaction is carried out under co‐catalyst‐free conditions. For samples that carry Pt co‐catalyst on both {001} and {101} facets, faceting loses entirely its significance. This demonstrates that the beneficial role of faceting, namely the introduction of {101} facets that act as electron transfer mediator is relevant only for co‐catalyst‐free TiO2 surfaces.
Ten ignored questions for stress psychology research
Authors: Gan Yiqun , Ma Jinjin , Peng Huini , Zhu Huanya , Ju Qianqian , Chen Yidi 
Published: February 2022

AbstractStress psychology is an interesting and important interdisciplinary research field. In this perspective article, we briefly discuss 10 challenges related to the conceptual definition, research methodology, and translation in the field of stress that do not receive sufficient attention or are ignored entirely. Future research should attempt to integrate a comprehensive stress conceptual framework into a multidimensional comprehensive stress model, incorporating subjective and objective indicators as comprehensive measures. The popularity of machine learning, cognitive neuroscience, and gene epigenetics is a promising approach that brings innovation to the field of stress psychology. The development of wearable devices that precisely record physiological signals to assess stress responses in naturalistic situations, standardize real‐life stressors, and measure baselines presents challenges to address in the future. Conducting large individualized and digital intervention studies could be crucial steps in enhancing the translation of research.
Prediction of polypropylene business strategy for a petrochemical plant using a technique for order preference by similarity to an ideal solution‐based artificial neural network
Authors: Singh Akash , Majumder Pinki , Bera Uttam Kumar 
Published: February 2022

AbstractThe quality of polypropylene is one of the major components in the plastic industry. The quality of the polypropylene depends upon the melt flow index and the xylene solubility under the given condition such as hydrogen flow, donor flow, pressure, temperature, etc. This study investigates the use of artificial neural network (ANN) modeling for the prediction of the quality of polypropylene for petrochemical plants. This study proposes an ANN model to predict the “melt flow index (MFI) and xylene solubility” as the quality of polypropylene depends upon these two factors. Hydrogen (H2) flow, pressure, temperature, and donor flow are the controlling parameters for the MFI and xylene solubility. The study proposes a new approach for the selection of the best topology using the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) multicriterion decision‐making (MCDM) process for the ANN technique. Experimental data are trained with three training algorithms each with four combinations of training functions and each with three combinations of numbers of neurons. In this study, the best model for ANN is found by the Levenberg–Marquardt backpropagation training algorithm with logarithmic sigmoid and hyperbolic tangent sigmoid transfer functions. The best topology for the ANN model for prediction is selected by using the TOPSIS method. Some sensitivity analyses are provided graphically to show the physical nature of the problem.
Vladimir Kharitonov: Achievements in research
Authors: Egorov Alexey 
Published: February 2022

AbstractA survey of the main research results of Professor Kharitonov is provided. The following topics are considered: stability analysis of interval polynomials, quasi‐polynomials, and multivariate polynomials; Kalman's hypothesis on the generalization of the Lyapunov matrix equation; critical delay values, complete type functionals and prediction‐based control for time‐delay systems. The fundamentals of Kharitonov's work and the influence of his results on other researchers are discussed.
Heuristics‐enhanced geospatial machine learning (SaaS) of an ancient Mediterranean environment
Authors: Svatos Karl B. W. , Ahmed Zubair , Recalde‐Salas Angela , Young Tom 
Published: February 2022

AbstractRaw soil core physical data used in machine learning algorithms with corresponding spatial remotely sensed data is an emerging science. Using data derived from soil core samples previously collected in Universal Transverse Mercator zone 50 (Western Australia) and remotely sensed data, a model that predicted ground movement (GM) was developed specific to Australian Standards manual AS 1726–2017. This is the first approach for Australian soils and first in the world for soils older than 200 million yr. The model developed reliably predicted GM with 91.1% accuracy. The error obtained from the prediction is within acceptable limits currently used by engineers in calculations concerning soil classification for engineering purposes. Concerning the remotely sensed data analyzed, accuracy of the Atterberg limits method might be improved if additional information about soil structure (layering and horizon) or other variables (seasonal data) are built into this model. This model can be used to save on construction material costs, reduce the potential for human error associated with data collection and sample manipulation, but also fast‐track (by up to 6 wk based on current wait times) building approvals while ensuring compliance to the relevant legislation. This platform also reduces the environmental effects of invasive drilling techniques. A requirement within principles of sustainable building practices, and associated with current standards commonly used by structural engineers who may seek better understanding of soil properties in Australia as a software service (with application potential in North America).
Poly(3,4‐ethylenedioxythiophene)‐Modified Graphite Felt and Carbon Cloth Anodes for Use in Microbial Fuel Cells
Authors: Mishra Praveena , Malla Manzoor Ahmad , Gupta Sushil Kumar , Mishra P. , Malla M. A. , Gupta S. K. 
Published: February 2022

AbstractAnode modification is an effective method for enhancing extracellular electron transportation and improving the power density of Microbial Fuel Cells (MFC). In this study, we decorated the surface of Carbon Cloth (CC) and Graphite Felt (GF) with a new conductive polymer, poly(3,4‐ethylenedioxyhiophene) (PEDOT), using galvanostatic electropolymerization and fabricated a CC/PEDOT and GF/PEDOT anode for MFC application. Cyclic Voltammetry (CV) and Electrochemical Impedance Spectroscopy (EIS) analyses illustrated that the PEDOT coating improved a redox‐active surface area, high electron transfer capabilities, and lower charge‐transfer resistance of anode. These modified electrodes give enhanced MFC performances with maximum energy generation and coulombic efficiency compared with plain electrode. The morphological characteristics like higher surface area and open structure of felt and carbon material promoted microbial formation and electrochemical active area. Compared with the unmodified anode, the PEDOT anodic modification improves the current density by 6.9 times i. e., 3.813 Am−2. Thus GF/PEDOT anode excelled among the studied anodes with the synergetic effect of PEDOT coating and structural configuration, making it a potential optimum anode for MFC application.
The Use of GC‐MS and Network Pharmacology to Analyze the Material Basis and Mechanism of Ligusticum chuanxiong Hort. in Treating Chronic Cerebral Circulation Insufficiency
Authors: Lv Hongyang , Zhang Xiaorui , Ren Yuanyuan , Zeng Yijia , Fang Qian , Fu Qinwen , He Dongmei , Yan Zhuyun 
Published: February 2022

AbstractUse Gas chromatography‐mass spectrometry technology (GC‐MS) to identify volatile chemical components in Ligusticum chuanxiong Hort. (LCH). The TCMSP and Swiss Target Prediction online platform were used to screen and predict the potential targets of the chemical components of LCH, and GeneCards, CTD, OMIM, DisGeNET, GEO databases were used to collect the potential targets of chronic cerebral circulation insufficiency (CCCI). A total of 50 volatile chemical components in LCH were analyzed and identified, and 126 potential targets for LCH treatment of CCCI were screened on this basis. Through further network topology analysis, 33 core components and 36 potential core targets were screened out. GO and KEGG enrichment analysis revealed that LCH played a therapeutic role through signaling pathways such as Neuroactive ligand‐receptor interaction, Alzheimer disease, Pathways of neurodegeneration‐multiple diseases, Proteoglycans in cancer, and Chemical carcinogenesis‐receptor activation. The molecular docking results showed the top 4 active ingredients, Ligustilide, Terpineol, 3‐Butylidenephthalide, and Linalool, and the top 5 core targets CREBBP, HSP90AA1, ESR1, VEGFA, and NR3 C1 all have good binding activity. The free energy is less than ≤‐5 kcal/mol, and the molecular docking conformation is stable. LCH may improve the symptoms of CCCI by acting on inhibiting inflammatory factors, protecting nerve cells, and promoting angiogenesis pathways.
Divergent Synthesis of Decahydroquinoline‐Type Poison‐Frog Alkaloids
Authors: Takashima Katsuki , Okada Takuya , Kato Atsushi , Yamasaki Yuhei , Sugouchi Takeshi , Akanuma Shin‐ichi , Kubo Yoshiyuki , Hosoya Ken‐ichi , Morita Hiroyuki , Ito Takuya , Kodama Takeshi , Tanabe Genzoh , Toyooka Naoki 
Published: February 2022

AbstractThe divergent synthesis of cis‐, 4a‐epi‐cis‐, 2‐epi‐cis‐, and trans‐decahydroquinoline‐type poison‐frog alkaloids was achieved from the known chiral acetate 5 using a stereoselective Michael‐type conjugate addition reaction and an intramolecular aldol‐type cyclization with epimerization. The conformational control was achieved on the basis of the A1,3 strain in the starting material and the stereoelectronic effect. More specifically, the synthesis of cis‐251 A, cis‐209 J‐1, cis‐223F‐1, 4a‐epi‐cis‐251 A, 2‐epi‐cis‐251 A, and trans‐251 A bearing a seven‐carbon chain at the α‐position of the nitrogen atom on the piperidine nucleus was also realized. These compounds are expected to show selective and potent inhibitory activities toward nicotinic acetylcholine receptors.
Quantitative Fluorescence In Situ Hybridization (FISH) of Magnetically Confined Bacteria Enables Early Detection of Human Bacteremia
Authors: Lee Min Seok , Hyun Hwi , Park Inwon , Kim Sungho , Jang Dong‐Hyun , Kim Seonghye , Im Jae‐Kyeong , Kim Hajin , Lee Jae Hyuk , Kwon Taejoon , Kang Joo H. 
Published: February 2022

AbstractThe current diagnosis of bacteremia mainly relies on blood culture, which is inadequate for the rapid and quantitative determination of most bacteria in blood. Here, a quantitative, multiplex, microfluidic fluorescence in situ hybridization method (μFISH) is developed, which enables early and rapid (3‐h) diagnosis of bacteremia without the need for prior blood culture. This novel technology employs mannose‐binding lectin‐coated magnetic nanoparticles, which effectively opsonize a broad range of pathogens, magnetically sequestering them in a microfluidic device. Therein, μFISH probes, based on unique 16S rRNA sequences, enable the identification and quantification of sequestered pathogens both in saline and whole blood, which is more sensitive than conventional polymerase chain reaction. Using μFISH, Escherichia coli (E. coli) is detected in whole blood collected from a porcine disease model and from E. coli‐infected patients. Moreover, the proportion of E. coli, relative to other bacterial levels in the blood, is accurately and rapidly determined, which is not possible using conventional diagnostic methods. Blood from E. coli‐infected patients is differentiated from healthy donors’ blood using cutoff values with a 0.05 significance level. Thus, μFISH is a versatile method that can be used to rapidly identify pathogens and determine their levels relative to other culturable and nonculturable bacteria in biological samples.
Cancelable electrocardiogram biometric system based on chaotic encryption using three‐dimensional logistic map for biometric‐based cloud services
Authors: Eldesouky Samer , El‐Shafai Walid , Ahmed Hossam El din H. , El‐Samie Fathi E. Abd 
Published: February 2022

AbstractBiometric features are extensively employed for security purposes, but they are vulnerable to threats and can be lost or compromised. Electrocardiogram (ECG) has been utilized as one of the most favorable biometrics. However, it contains confidential patient health information and personal identification details. Moreover, security flaws take place in hacking scenarios. Therefore, original biometrics must be secured by preventing them from being used in biometric databases. The enhanced security trend in biometric authentication is cancelable biometrics. Cancelable biometric systems can be built by generating regularly repeated distortions of biometric features to secure the sensitive data of the users. When cancelable features are disclosed, distortion parameters are modified, and new cancelable templates are generated. This paper presents a proposed cancelable ECG recognition system based on the 3D chaotic logistic map encryption, which has highly efficient random characteristics with confusion and diffusion properties. Normal and abnormal ECG signals have been used to test the proposed cancelable biometric recognition system, and good access results have been obtained. The results of the simulation indicate that the proposed system is secure, reliable, and practicable even with ECG signals for patients.
Design thinking, lean startup, and high‐technology marketing for human‐centered systems engineering
Authors: Weiland Karen J. , Knizhnik Jessica R. L. 
Published: February 2022

AbstractThe use of design thinking, lean startup, and high‐technology marketing in systems engineering is presented as a case study. All were used and evaluated for their potential to improve systems engineering processes and design, address the challenges of culture change, increase the adoption rate of new technology, and engage with potential users and sponsors more effectively. Multiple examples of training and use on a Model‐Based Systems Engineering (MBSE) initiative at a large government agency showcase how these approaches were tailored and used successfully for significant benefits such as enhanced collaboration and better problem definition and design solutions. Challenges remain for use by quiet thinkers and with virtual teams. These new ways of thinking are well aligned with creating and using new technologies and are suitable for situations involving innovation, uncertainty, and change within organizations. This case study intends to familiarize systems engineers with the application of these human‐centered approaches, to interest systems engineers in incorporating these approaches into their work processes, and to inspire the systems engineering research community to investigate further.
Tussilagone protects acute lung injury from PM2.5 via alleviating Hif‐1α/NF‐κB‐mediated inflammatory response
Authors: Lin Hongwei , Chen Min , Gao Yanjun , Wang Zaiqiang , Jin Faguang 
Published: February 2022

AbstractEnvironmental pollution, especially particulate matter in the air, is a serious threat to human health. Long‐term inhalation of particulate matter with a diameter < 2.5 μm (PM2.5) induced irreversible respiratory and lung injury. However, it is not clear whether temporary exposure to massive PM2.5 would result in epithelial damage and lung injury. More importantly, it is urgent to clarify the mechanisms of PM2.5 cytotoxicity and develop a defensive and therapeutic approach. In this study, we demonstrated that temporary exposure with PM2.5 induced lung epithelial cell apoptosis via promoting cytokines expression and inflammatory factors secretion. The cytotoxicity of PM2.5 could be alleviated by tussilagone (TSL), which is a natural compound isolated from the flower buds of Tussilago farfara. The mechanism study indicated that PM2.5 promoted the protein level of Hif‐1α by reducing its degradation mediated by PHD2 binding, which furtherly activated NF‐κB signaling and inflammatory response. Meanwhile, TSL administration facilitated the interaction of the Hif‐1α/PHD2 complex and restored the Hif‐1α protein level increased by PM2.5. When PHD2 was inhibited in epithelial cells, the protective function of TSL on PM2.5 cytotoxicity was attenuated and the expression of cytokines was retrieved. Expectedly, the in vivo study also suggested that temporary PM2.5 exposure led to acute lung injury. TSL treatment could effectively relieve the damage and decrease the expression of inflammatory cytokines by repressing Hif‐1α level and NF‐κB activation. Our findings provide a new therapeutic strategy for air pollution‐related respiratory diseases, and TSL would be a potential preventive medicine for PM2.5 cytotoxicity.
Time‐dependent effect of inhaled cigarette smoke exposure in the bleomycin‐induced lung injury rat model
Authors: Go Ryeo‐Eun , Lee Sung‐Moo , Shin Young‐Jun , Kim Min‐Seok , Park Chul‐Min , Ko Eul‐Bee , Kim Soochong , Choi Kyung‐Chul 
Published: February 2022

AbstractCigarette smoke (CS) substances are known to induce diverse ailments such as cancer, decreased immunity, and lung diseases. Although some studies have been actively conducted to evaluate cigarette toxicity, the current animal exposure methods, that is, exposure of 28‐ or 90‐days, require considerable research cost and lead to obscure results of the CS effects. In a previous study, we compared the effects of CS in a rat model of bleomycin (BLM) and lipopolysaccharide (LPS) induced lung disease. We determined that compared to the LPS‐induced rat model, the BLM‐induced rat model was more sensitive to alterations in secreting cytokines and total cell number. In the current study, we further confirmed the time‐point of effective inhalation exposure by CS in the BLM‐induced lung injury rat model. Using an automatic video instillator, rats were administered a single dose of 2.5 mg/kg BLM (day 1), and subsequently exposed to CS via inhalation (nose‐only) 4 h/day, for 1, 2, 3, and 4 weeks. The bronchoalveolar lavage fluid (BALF) was obtained from the right lung lobes, total cell numbers were counted, and chemokine and cytokine expressions were evaluated using Enzyme‐Linked Immunosorbent Assay. For the 1‐week exposure, we observed a greater increase of neutrophils in the BLM + CS 300 μg/L group than in the BLM or CS 300 μg/L groups. Exposure of CS in the BLM‐induced lung injury rat model enhanced the secretions of chemokines and cytokines, such as CCL2/MCP‐1, CXCL2/MIP‐2 and TNF‐α, at 1 week. Immunohistochemistry and Hematoxylin and Eosin staining of lungs at 1–2 weeks after exposure clearly confirmed this tendency in the increased levels of CCL2/MCP‐1 and TNF‐α. Taken together, these results indicate that the rat model of BLM‐induced lung injury is more sensitive to CS exposure than other rat models, and may be an appropriate model to evaluate the effect of CS exposure at 1–2 weeks.