bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anniversary meeting
Authors: - - 
Published: December 2022

At the Anniversary meeting, new Fellows were elected and a list of Fellows deceased since the date of the last Annual Meeting was read. The Annual report on the number of visitors to the Society's museum, as well as the donations and purchases added to the Society's museum and library, was read. Some important additions to the Society's collections were highlighted.

Meeting notes for 14 December, 1896 are appended.
Composite Scaffolds of Gelatin and Fe3O4 Nanoparticles for Magnetic Hyperthermia‐Based Breast Cancer Treatment and Adipose Tissue Regeneration
Authors: Sun Rui , Chen Huajian , Zheng Jing , Yoshitomi Toru , Kawazoe Naoki , Yang Yingnan , Chen Guoping 
Published: December 2022

AbstractPostsurgical treatment of breast cancer remains a challenge with regard to killing residual cancer cells and regenerating breast defects. To prepare composite scaffolds for postoperative use, gelatin is chemically modified with folic acid (FA) and used for hybridization with citrate‐modified Fe3O4 nanoparticles (Fe3O4‐citrate NPs) to fabricate Fe3O4/gelatin composite scaffolds which pore structures are controlled by free ice microparticles. The composite scaffolds have large spherical pores that are interconnected to facilitate cell entry and exit. The FA‐functionalized composite scaffolds have the ability to capture breast cancer cells. The Fe3O4/gelatin composite scaffolds possess a high capacity for magnetic‐thermal conversion to ablate breast cancer cells during alternating magnetic field (AMF) irradiation. In addition, the composite scaffolds facilitate the growth and adipogenesis of mesenchymal stem cells. The composite scaffolds have multiple functions for eradication of residual cancer cells under AMF irradiation and for regeneration of resected adipose tissue when AMF is off.
Precise Molecular Design for Two Parent BN‐Pentacyclic Isomers Through Stitching Engineering Toward Extremely Sensitive Explosive Detection
Authors: Huang Huanan , Yao Junxiong , Xu Han , Li Jiaqi , Wang Hanbin , Xiong Cheng , Fang Binhua , Wang Yawei , Zhou Ying , Cao Xiaohua , Wang Jianguo , Tang Ben Zhong 
Published: December 2022

AbstractThe incorporation of BN units into polycyclic aromatic hydrocarbons (PAHs) has been ascertained to be a promising strategy for creating novel materials with unique functions and properties. However, it poses a formidable challenge to achieve precise construction of BN‐PAHs with variable skeleton module, which conversely, enhances greater understanding of the structure‐property relationship. Herein, two BN‐pentacyclic isomers (P‐BN‐BT and I‐BN‐BT) with different stitching patterns are addressed comprehensively, in which the integrated analysis reveals that the geometric structure, aromaticity, and photophysical properties indeed vary with the variational stitching models. More interestingly, further investigations show that the I‐BN‐BT with twisted molecular configuration displays a low fluorescence quantum yield, while the P‐BN‐BT with fully planar conformation exhibits high quantum yield and exceptional mechanochromic luminescent (MCL) properties. More importantly, P‐BN‐BT shows extreme sensitivity toward 2,4,6‐trinitrophenol (TNP). Visual detection of TNP is handily performed by fabrication of the test strips, which reaches ppm level under daylight. This work provides systematic insight into the effects of BN doping and highlights the importance of accurate control of the stitching patterns in conjugated materials.
Feature Space of XRD Patterns Constructed by an Autoencoder
Authors: Utimula Keishu , Yano Masao , Kimoto Hiroyuki , Hongo Kenta , Nakano Kousuke , Maezono Ryo 
Published: December 2022

AbstractX‐ray diffraction (XRD) is commonly used to analyze systematic variations occurring in compounds to tune their material properties. Machine learning can be used to extract such significant systematics among a series of observed peak patterns. The feature space concept, in the context of autoencoders, can be the platform for performing such extractions, where each peak pattern is projected into a space to extract the systematics. Herein, an autoencoder is trained to learn to detect the systematics driven by atomic substitutions within a single phase without structural transitions. The feature space constructed by the trained autoencoder classifies the substitution compositions of XRD patterns satisfactorily. The compositions interpolated in the feature space are in good agreement with those of an XRD pattern projected to a point. Subsequently, the autoencoder generates a virtual XRD pattern from an interpolated point in the feature space. When the feature space is effectively optimized by enough training data, the autoencoder predicts an XRD pattern with a concentration, which is difficult to be described using the possible resolution of the supercell method of ab initio calculations.
Architecture Design and Catalytic Activity: Non‐Noble Bimetallic CoFe/fe3O4 Core–Shell Structures for CO2 Hydrogenation
Authors: Miao Wenkang , Hao Ronghui , Wang Jingzhou , Wang Zihan , Lin Wenxin , Liu Heguang , Feng Zhenjie , Lyu Yingchun , Li Qianqian , Jia Dongling , Ouyang Runhai , Cheng Jipeng , Nie Anmin , Wu Jinsong 
Published: December 2022

AbstractNon‐noble metal catalysts now play a key role in promoting efficiently and economically catalytic reduction of CO2 into clean energy, which is an important strategy to ameliorate global warming and resource shortage issues. Here, a non‐noble bimetallic catalyst of CoFe/Fe3O4 nanoparticles is successfully designed with a core–shell structure that is well dispersed on the defect‐rich carbon substrate for the hydrogenation of CO2 under mild conditions. The catalysts exhibit a high CO2 conversion activity with the rate of 30% and CO selectivity of 99%, and extremely robust stability without performance decay over 90 h in the reverse water gas shift reaction process. Notably, it is found that the reversible exsolution/dissolution of cobalt in the Fe3O4 shell will lead to a dynamic and reversible deactivation/regeneration of the catalysts, accompanying by shell thickness breathing during the repeated cycles, via atomic structure study of the catalysts at different reaction stages. Combined with density functional theory calculations, the catalytic activity reversible regeneration mechanism is proposed. This work reveals the structure–property relationship for rational structure design of the advanced non‐noble metallic catalyst materials with much improved performance.
Targeting the Lysosomal Degradation of Rab22a‐NeoF1 Fusion Protein for Osteosarcoma Lung Metastasis
Authors: Zeng Cuiling , Zhong Li , Liu Wenqiang , Zhang Yu , Yu Xinhao , Wang Xin , Zhang Ruhua , Kang Tiebang , Liao Dan 
Published: December 2022

AbstractRab22a‐NeoF fusion protein has recently been reported as a promising target for osteosarcoma lung metastasis. However, how this fusion protein is regulated in cells remains unknown. Here, using multiple screenings, it is reported that Rab22a‐NeoF1 fusion protein is degraded by an E3 ligase STUB1 via the autophagy receptor NDP52‐mediated lysosome pathway, which is facilitated by PINK1 kinase. Mechanistically, STUB1 catalyzes the K63‐linked ubiquitin chains on lysine112 of Rab22a‐NeoF1, which is responsible for the binding of Rab22a‐NeoF1 to NDP52, resulting in lysosomal degradation of Rab22a‐NeoF1. PINK1 is able to phosphorylate Rab22a‐NeoF1 at serine120, which promotes ubiquitination and degradation of Rab22a‐NeoF1. Consistently, by upregulating PINK1, Sorafenib and Regorafenib can inhibit osteosarcoma lung metastasis induced by Rab22a‐NeoF1. These findings reveal that the lysosomal degradation of Rab22a‐NeoF1 fusion protein is targetable for osteosarcoma lung metastasis, proposing that Sorafenib and Regorafenib may benefit cancer patients who are positive for the RAB22A‐NeoF1 fusion gene.
Prospects of Utilizing Quantum Emitters to Control the Absorption of Non‐Noble Plasmonic Metal Nanoparticles
Authors: Steinfeld Lucinda , Cole Jared H. , Hapuarachchi Harini 
Published: December 2022

AbstractProspects of controlling the absorption of the cost‐effective plasmonic metal nanoparticles (MNPs) Cu and Al using quantum emitters (QEs) are demonstrated semi‐analytically. The resulting spectra are compared with the absorption of commonly used noble plasmonic metal nanoparticles Au and Ag under similar conditions. It is observed that Cu and Au based plasmonic nanoparticles exhibit largely similar exciton–plasmon Fano interaction signatures in addition to their similar spectral regions of operation (lower end of the visible range). Furthermore, the QE‐enhanced maximum absorption (Fano maximum) of Cu based nanohybrids are seen to approach the maximum absorption level of isolated Au MNPs, with decreasing QE‐Cu separation, increasing QE dipole element magnitude, and increasing medium permittivity, in the parameter region considered. This renders Cu based exciton–plasmon nanohybrids as more economical alternatives for Au MNPs and Au‐based nanohybrids in absorption‐based applications (such as thermoplasmonic), when stabilized in protective embedding media such as poly (methyl methacrylate) (PMMA).
The characteristics and mechanism of hydrogen bonding assembly in linear polyurethane with multiple pendant 2‐ureido‐4[1H]‐pyrimidone units
Authors: Chen Yimei , Yang Wei , Liu Juan , Wang Yuanliang , Luo Yanfeng 
Published: December 2022

Abstract2‐Ureido‐4[1H]‐pyrimidone (UPy) can form strong quadruple hydrogen bonding (H‐bonding) and is widely used to construct supramolecules. Though the H‐bonding assembly of UPy‐containing polymers has been widely reported, little attention is paid to the H‐bonding characteristics and mechanism of UPy‐containing polyurethanes. Here, by using UPy‐p‐PDLLA‐SMPU, a linear polyurethane with multiple pendant UPy units as the model polymer, the H‐bonding assembly characteristics in solution, solid film and melt are systematically investigated. It is found that the UPy units mainly exist as free monomers in DMSO, UPy dimers in CHCl3, and both free monomers and dimers in DMF. The dimerization of UPy can promote the H‐bonding of urea and urethane groups and thus the formation of hard segment aggregates. Thereby, the thermal resistance and reversibility of the H‐bonds are significantly enhanced in both UPy‐p‐PDLLA‐SMPU film and melt. UPy‐p‐PDLLA‐SMPU can transition from a rubber state (70°C–85°C) to a viscous flow state (≥120°C), presenting the characteristics of both chemically crosslinked and linear polyurethanes. This work provides a clear picture on the H‐bonding assembly of UPy units together with urea and urethane groups in UPy‐p‐PDLLA‐SMPU. The obtained assembly characteristics and mechanism are beneficial for the design and processing of UPy‐based physically crosslinked polyurethanes.
Preparation and characterization of hydrogel from deacetylated xanthan gum produced by Xanthomonas arboricola pv pruni 106
Authors: de Oliveira Molon Bruna , de Oliveira Molon Bianca , Gonçalves Janaina Oliveira , Ribeiro Eduardo Silveira , Diaz Patrícia Silva 
Published: December 2022

AbstractXanthan gum is a water‐soluble polysaccharide obtained by fermentation of the genus Xanthomonas with several properties, such as low‐cost, biodegradability, biocompatibility and non‐toxicity. However, an important limitation of xanthan gum‐based biomaterials is the high swelling degree in solvent and the mechanical weakness, which results in biomaterial disintegration. For this reason, the aim of this work was to develop a hydrogel with reduced swelling degree. The xanthan gum produced by X. arboricola pv pruni 106 achieved a volumetric yield of 10.78 ± 0.27 g L−1. The content of acetyl group was relatively low, around 1.33%, which the deacetylation process reduced its level to 0.8%. The hydrogel was produced using deacetylated xanthan gum and glutaraldehyde as crosslinker. The xanthan gum‐based hydrogel has shown lower swelling degree and higher apparent viscosity, overcoming the initial drawbacks of the xanthan gum in its nature form. Overall, the xanthan gum‐based hydrogel has remained stable during the whole storage conditions.
Omnivorous Notoxus trinotatus Pic (Coleoptera: Anthicidae) is a newly recognized vector of northern leaf blight in maize
Authors: Feng Lichao , Du Zhiqi , Zhang Shuang , Zhang Shaoqing , Meng Qingfan , Tajovský Karel 
Published: December 2022

AbstractThe adaptations of omnivorous insects to food are manifested in a multifaceted manner, and the availability of food resources directly determines insect feeding tendencies, which contribute to a complex insect‐food relationship and impact insect functionality in the environment. Stable isotope analysis was applied to test the feeding preference and further define the functional role of omnivorous beetles in cropland. Our results confirmed that as an omnivorous beetle, the fungivorous nature of Notoxus trinotatus accounted for a prominent proportion food selection at the adult stage, and more importantly, this dietary feature contributed to the dispersal of the northern corn leaf blight in maize (NLB) during the feeding trials. In addition to the preference for fungi, water supplementation was an essential element extending adult longevity, which directly prolonged the contact time of adults with pathogenic fungi in agricultural fields. Consistent with the herbivorous characteristics of beetles, before the emergence of NLB fungal pathogens, corn tissues served as the main food, which provided the beetles with more opportunities to transmit fungal pathogen propagules. We conclude that the role of N. trinotatus in carrying NLB pathogen is due to its feeding on this plant mycopathogen, and an increased abundance of beetles carrying the pathogen may increase the rate of NLB disease infestation. More focus should be concentrated on the functions of fungivorous beetles, not only as pathogen‐transmitting pests, but also as an element among the balanced biotic factors in farmland.
Two‐Dimensional Materials Applied in Membranes of Redox Flow Battery
Authors: He Murong , Guan Minyuan , Zhan Ruifeng , Zhou Kaiyun , Fu Hu , Wang Xinan , Zhong Fangfang , Ding Mei , Jia Chuankun 
Published: December 2022

AbstractRedox flow batteries (RFBs) are one of the most promising techniques to store and convert green and renewable energy, benefiting from their advantages of high safety, flexible design and long lifespan. Membranes with fast and selective ions transport are required for the advances of RFBs. Remarkably, two‐dimensional (2D) materials with high mechanical and chemical stability, strict size exclusion and abundantly modifiable functional groups, have attracted extensive attentions in the applications of energy fields. Herein, the improvements and perspectives of 2D materials working for ionic transportation and sieving in RFBs membranes are presented. The characteristics of various materials and their advantages and disadvantages in the applications of RFBs membranes particularly are focused. This review is expected to provide a guidance for the design of membranes based on 2D materials for RFBs.
H∞$$ {H}_{\infty } $$ constraint Pareto optimal control for discrete‐time Markov jump linear stochastic systems in finite horizon
Authors: Jiang Xiushan , Cui Kai , Zhao Dongya 
Published: December 2022

AbstractThis paper mainly focuses on discrete‐time Markov jump linear stochastic systems (DMJLSSs) with external disturbances and multiplicative noise. Due to the multi‐player in the systems and multi‐objective cost function, the strategy design for these systems is more difficult than the traditional Markov jump stochastic systems. We combine
theory with Pareto control and use the weighted sum method of the objective functional of each player to solve the problem of Pareto cooperative game. Four coupled difference matrix‐valued recursion equations (CDMREs) are derived by stochastic bounded real lemma (SBRL). Then, a sufficient and necessary condition for the existence of the Pareto optimal strategy is obtained, and the Pareto solution for every controller is derived under this strategy. A simulation example is given to verify the correctness of the theory.
Performance improvement of aircraft pitch angle control using a new reduced order fractionalized PID controller
Authors: Idir A. , Bensafia Y. , Khettab K. , Canale L. 
Published: December 2022

AbstractIn this paper, a new optimal reduced order fractionalized PID (ROFPID) controller based on the Harris Hawks Optimization Algorithm (HHOA) is proposed for aircraft pitch angle control. Statistical tests, analysis of the index of performance, and disturbance rejection, as well as transient and frequency responses, were all used to validate the effectiveness of the proposed approach. The performance of the proposed HHOA‐ROFPID and HHOA‐ROFPID controllers with Oustaloup and Matsuda approximations was then compared not only to the PID controller tuned by the original HHO algorithm but also to other controllers tuned by cutting‐edge meta‐heuristic algorithms such as the atom search optimization algorithm (ASOA), Salp Swarm Algorithm (SSA), sine‐cosine algorithm (SCA), and Grey wolf optimization algorithm (GOA). Simulation results show that the proposed controller with the Matsuda approximation provides better and more robust performance compared to the proposed controller with the Oustaloup approximation and other existing controllers in terms of percentage overshoot, settling time, rise time, and disturbance rejection.
Counting states: A combinatorial analysis of SQM fragmentation
Authors: Bernardo Antonio L. C. , Paulucci Laura , de Sá Lucas M. , Horvath Jorge E. 
Published: December 2022

AbstractThe Strange Quark Matter (SQM) hypothesis states that at extreme pressure and density conditions, a new ground state of matter would arise, in which half of the down quarks become strange quarks. If true, it would mean that at least the core of neutron stars is made of SQM. In this hypothesis, SQM would be released in the interstellar medium when two of these objects merge. It is estimated that of SQM would be released this way. This matter will undergo a sequence of processes that should result in a fraction of the released SQM becoming heavy nuclei through the r‐process. In this work, we are interested in characterizing the fragmentation of SQM, with the novelty of keeping track of the quark configuration of the fragmented matter. This is accomplished by developing a methodology to estimate the energy of each fragment as the sum of its constituent quarks, the Coulomb interaction among the quarks and fragments' momenta.
Filling the mass gap between neutron star and black hole masses
Authors: Horvath Jorge E. , Bernardo Antônio L. C. , Bachega Riis R. A. , de Sá Lucas M. , Rocha Livia S. , Moraes Pedro H. R. S. 
Published: December 2022

AbstractThe lack of objects between 2 and 5 M⊙ in the joint mass distribution of compact objects has been termed “mass gap” and attributed to the characteristics of the supernova mechanism at their birth. However, recent observations show that a number of candidates reported to lie inside the “gap” may fill it, and the paucity may be the result of small number statistics. We quantify in this work the individual candidates and evaluate the joint probability of a mass gap. Our results show that a mass gap is not present, to a very high confidence level. It remains to be seen if a relative paucity of objects ensues and how this population can be related to the formation processes, which may include neutron star mergers, collapse of a neutron star to a black hole and others.
High expression of caspase‐8 as a predictive factor of poor prognosis in patients with esophageal cancer
Authors: Chai Jian , Lei Yongqiang , Xiang Xindong , Ye Jing , Zhao Hang , Yi Lili 
Published: December 2022

AbstractBackgroundEsophageal carcinoma (ESCA) is considered to be one of the most common gastrointestinal cancers. Caspase‐8 (CASP8) is a key protein of cross‐talk signaling in a variety of cancers. However, the role of CASP8 expression in the prognosis of patients with ESCA has remained unexplored. Hence, it is needed to explore the clinical significance of CASP8 expression in ESCA.MethodsThe expression and prognosis of CASP8 were investigated in ESCA using the UALCAN, GEDS, TIMER, and OncoLnc databases. The CASP8 genetic variations in ESCA were assessed using the cBioPortal database. The correlation between CASP8 expression and tumor immune invasion and immune cell surface indicators was examined using the TIMER and TISIDTISIDB datasets. Meanwhile, the abundance of the immunological cells in the tumor and healthy tissues was assessed by the CIBERSORT method. Next, information on the co‐expressed genes of the differentially expressed genes (DEGs) in ESCA‐tumor and ESCA‐healthy tissues was obtained using the cBioPortal, UALCAN, and Coexpedia databases. Subsequently, the PPI network was constructed and the GO and KEGG pathways were analyzed using the SIRING database. Finally, CASP8 mRNA and protein expression in the ESCA tissues and matched adjacent healthy tissues were analyzed using qRT‐PCR, immune‐blotting, and immunohistochemistry. Additionally, the relationship between clinicopathological features and CASP8 expression was assessed.ResultsESCA tissues had higher levels of CASP8 mRNA and protein expression compared to healthy tissues. patients with an elevated level of CASP8 expression had poor overall survival (OS). CASP8 expression was significantly correlated with the degree of differentiation (P = 0.004) and lymph node metastasis (P = 0.044). There were diverse patterns of association between immunological cell surface biomarkers and CASP8 expression.ConclusionESCA showed significant levels of CASP8 expression which may serve as a prognostic biomarker correlated to immune infiltrates in ESCA.
A comparative study of diagnostic accuracy in 3026 pleural biopsies and matched pleural effusion cytology with clinical correlation: A methodological issue
Authors: Zhang Wen‐Li , Fang Xiang , Qiu Jian‐Qing , Cui Tao 
Published: December 2022

AbstractAimAfter reading the article by Ivan K. Poon et al. Certain issues regarding the methodology must be addressed.ResultFirst, it was not sufficient using only sensitivity and specificity. Second, we think the receiver operator characteristic curve (ROC) as well as the index of area under curve (AUC) could better be demonstrated in this, it was not sufficient using only sensitivity and specificity. Second, we think the receiver operator characteristic curve (ROC) as well as the index of area under curve (AUC) could better be demonstrated in this article for a more comprehensive understanding of this diagnostic test accuracy when comparing different tests.ConclusionWith using more comprehensive indexes including Youden's index, LR and AUC, the conclusions of Ivan K. Poon and his colleagues would be sodified.