bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive molecular characterization of adenoid cystic carcinoma reveals tumor suppressors as novel drivers and prognostic biomarkers
Authors: Persson Marta , Andersson Mattias K , Sahlin Per‐Erik , Mitani Yoshitsugu , Brandwein‐Weber Margaret S , Frierson Jr Henry F , Moskaluk Christopher , Fonseca Isabel , Ferrarotto Renata , Boecker Werner , Loening Thomas , El‐Naggar Adel K , Stenman Göran 
Published: August 2023

AbstractAdenoid cystic carcinoma (ACC) is a MYB‐driven head and neck malignancy with high rates of local recurrence and distant metastasis and poor long‐term survival. New effective targeted therapies and clinically useful biomarkers for patient stratification are needed to improve ACC patient survival. Here, we present an integrated copy number and transcriptomic analysis of ACC to identify novel driver genes and prognostic biomarkers. A total of 598 ACCs were studied. Clinical follow‐up was available from 366 patients, the largest cohort analyzed to date. Copy number losses of 1p36 (70/492; 14%) and of the tumor suppressor gene PARK2 (6q26) (85/343; 25%) were prognostic biomarkers; patients with concurrent losses (n = 20) had significantly shorter overall survival (OS) than those with one or no deletions (p < 0.0001). Deletion of 1p36 independently predicted short OS in multivariate analysis (p = 0.02). Two pro‐apoptotic genes, TP73 and KIF1B, were identified as putative 1p36 tumor suppressor genes whose reduced expression was associated with poor survival and increased resistance to apoptosis. PARK2 expression was markedly reduced in tumors with 6q deletions, and PARK2 knockdown increased spherogenesis and decreased apoptosis, indicating that PARK2 is a tumor suppressor in ACC. Moreover, analysis of the global gene expression pattern in 30 ACCs revealed a transcriptomic signature associated with short OS, multiple copy number alterations including 1p36 deletions, and reduced expression of TP73. Taken together, the results indicate that TP73 and PARK2 are novel putative tumor suppressor genes and potential prognostic biomarkers in ACC. Our studies provide new important insights into the pathogenesis of ACC. The results have important implications for biomarker‐driven stratification of patients in clinical trials. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Global sensitivity analysis of complex moduli of carbon fiber reinforced polymer
Authors: Guan Chengyu , Chen Yanhong , Qin Chengwei , Shi Zhiyuan , Li Huimin 
Published: August 2023

AbstractGlobal sensitivity analysis of complex moduli of carbon fiber reinforced polymer (CFRP) is performed by using variance‐based sensitivity analysis. Twelve material properties of matrix and fiber are selected as input arguments, including fiber volume fraction, three matrix properties, and eight carbon fiber properties. Ten thousand samples are generated with Sobol sequence. Based on the correspondence principle, six complex moduli of unidirectional CFRP, and two complex moduli of quasi‐isotropic laminate, orthogonal laminate, and symmetric laminate with different fiber angles are predicted using the generalized method of cells and classical laminate theory. The sensitivity indexes of all input arguments are calculated. The results show that the loss factors of CFRP are mainly affected by the matrix loss factor and fiber axial loss factor, and slightly affected by the fiber transverse loss factor.Highlights
Sensitivity analysis reveals key factors influencing CFRP complex moduli.
Impact of fiber and matrix properties on CFRP damping revealed.
Insights for high‐damping and high‐stiffness CFRP development.
Enhanced understanding of energy absorption mechanisms.
Uncovering the dominant role of matrix and fiber axial properties in damping.
Angelica sinensis polysaccharide ameliorates nonalcoholic fatty liver disease via restoring estrogen‐related receptor α expression in liver
Authors: Luo Li , Zhang Huafeng , Chen Weiliang , Zheng Ziming , He Zihao , Wang Haoyu , Wang Kaiping , Zhang Yu 
Published: August 2023

AbstractAngelica sinensis polysaccharide (ASP) showed increasingly recognized hepatoprotective effects and lipid regulation. Because polysaccharides are typically degraded into fragments or short‐chain fatty acids in the gut, rather than being absorbed in their intact form, it is worth pondering why ASP can regulate hepatic lipid metabolism and protect the liver from damage caused by lipid accumulation. In vivo and in vitro nonalcoholic fatty liver disease (NAFLD) models with lipid accumulation were established to investigate the effect and potential mechanisms of ASP on hepatic fat accumulation. Our results showed that ASP remodeled the composition and abundance of the gut microbiota in high‐fat diet‐fed mice and increased their levels of propionate (0.92 ± 0.30 × 107 vs. 2.13 ± 0.52 × 107) and butyrate (1.83 ± 1.31 × 107 vs. 6.39 ± 1.44 × 107). Sodium propionate significantly increased the expression of estrogen‐related receptor α (ERRα) in liver cells (400 mM sodium propionate for 2.19‐fold increase) and alleviated the progress of NAFLD in methionine–choline‐deficient diet model. Taken together, our study demonstrated that ASP can regulate hepatic lipid metabolism via propionate/ERRα pathway and ultimately relieving NAFLD. Our findings demonstrate that ASP can be used as a health care product or food supplement to prevent NAFLD.
Reliability assessment of two‐level balanced systems with common bus performance sharing subjected to epistemic uncertainty
Authors: Tian Tianzi , Yang Jun , Wang Ning 
Published: August 2023

AbstractTwo‐level balanced systems with common bus performance sharing (TLBS‐CBPS), represented by power battery systems, play an important role in various industries. Where the two‐level balance refers to when the system is unbalanced, redistributing performance between modules using a common bus for the intermodule balance, followed by the in‐module component performance redistribution to achieve global balance, that is, the performance differences among all components are within the balance degree threshold. However, the component performance has epistemic uncertainty due to measurement limitations, and the distance‐dependent transmission loss incurs during the performance redistribution. These problems make the reliability evaluation of TLBS‐CBPS challenging. To address these issues, a reliability evaluation method for TLBS‐CBPS is proposed by considering two‐level balance, epistemic uncertainty, and transmission loss. First, the system model is constructed from working modes, and the two‐level rebalancing process is described as three nonlinear programming problems. Then, based on the Dempster–Shafer evidence theory, the belief universal generating function (BUGF) method is proposed to evaluate the uncertainty of the system reliability. To improve the computation efficiency, a simplified BUGF algorithm is given through merging, judging, labeling, and expanding realizations. Finally, two examples of lithium‐ion battery packs demonstrate the effectiveness of the proposed method.
Philicity scales using molecular quantum similarity and chemical reactivity indices within density functional theory
Authors: Morales‐Bayuelo Alejandro 
Published: August 2023

AbstractIn this manuscript, we postulate a possible relationship of philicity within a molecular set of electrocyclic reactions. Philicity has been studied by Chattaraj and co‐workers (J. Phys. Chem. A. 2003, 107, 25). This important concept was obtained using the electrophilicity index and Fukui functions. Recently, the present author has published a possible way to quantify philicity using molecular quantum similarity and chemical reactivity indices (see, J. Math. Chem. 2023, 61, 165). In this work, philicity was related with the molecular quantum similarity framework to obtain a possible way to relate philicity using 21 electrocyclic reactions using the cyclobutene reaction as a reference. The main idea is to postulate philicity scales. This methodology can open up a possible path to find systematic relationships in each molecular ensemble using the selectivity defined in the density functional theory context. With these scales, we can relate the effect of the substituent on the electrocyclic opening reaction on the molecular set.
A class of switched linear systems with persistent sojourn‐time expectation: Analysis and synthesis
Authors: Xu Kaixin , Cai Bo , Lu Shengao , Liang Ye , Zhang Lixian 
Published: August 2023

AbstractThis paper is concerned with the problems of stability and stabilization for discrete‐time switched linear systems with a new class of switching signals. The considered switching signals are of random mode‐dependent sojourn‐time (RMST) property, which is capable of describing the mode‐dependent sojourn‐time period consisting of a fixed part with no switching and a random part with known sojourn‐time expectation. Compared with the previous studies assuming that the switching dynamics of the random part can be described by a Markov chain, the length of the random part is allowed to obey any distribution including geometric distribution. Besides, the mode switching of RMST switching is arbitrary indicating that it requires no statistical information of transition probabilities. The criteria of stability and stabilization are derived for the RMST switched systems. To further reduce the limitation of RMST switching on switching frequency, a concept of random mode‐dependent persistent sojourn‐time (RMPST) is proposed. Then, in the presence of asynchronous switching, the conditions of the existence of controllers are presented for the switched systems with persistent sojourn‐time expectation. A numerical example and a practical example of a space robot manipulator are given to demonstrate the effectiveness and applicability of the developed theoretical results.
Hybrid‐triggered based reliable filter design for interval type‐2 fuzzy system under deception attacks and missing measurements
Authors: Arumugam Karthick , Chen Bor‐Sen 
Published: August 2023

AbstractThis study inspects the problem of fault‐tolerant control based filter design for interval type‐2 (IT‐2) fuzzy systems with deception attacks and missing measurements, under hybrid‐triggered mechanism. At first, hybrid‐triggered mechanism is commenced to preserve the network bandwidth and also to maintain the competent system performance. Next, the existence of deception attack in the filter infuses unwanted data in the measurement output in order to limit the transmitted signal in the communication networks. The behaviors of triggering mechanism and attack signals are governed by stochastic Bernoulli distribution. Moreover, the missing measurements phenomenon is also characterized by stochastic random variables, which observes the data loss between system and the filter during the transference of information. The sensor failure, deception attack and missing measurement are the key factors that will destruct the network security completely. Further, by endowing Lyapunov stability theory and linear matrix inequality (LMI), a set of adequate conditions is fabricated to ensure the mean‐square asymptotic filtering of the proposed IT‐2 fuzzy system. Subsequently, the filter gain matrices are exhibited with desired LMI conditions. Eventually, the capability and usefulness of the proposed fault‐tolerant filter scheme is substantiated via two numerical examples which includes a tunnel diode application.
Universality of superconcentration in the Sherrington–Kirkpatrick model
Authors: Chen Wei‐Kuo , Lam Wai‐Kit 
Published: August 2023

AbstractWe study the universality of superconcentration for the free energy in the Sherrington–Kirkpatrick model. In [10], Chatterjee showed that when the system consists of spins and Gaussian disorders, the variance of this quantity is superconcentrated by establishing an upper bound of order , in contrast to the bound obtained from the Gaussian–Poincaré inequality. In this paper, we show that superconcentration indeed holds for any choice of centered disorders with finite third moment, where the upper bound is expressed in terms of an auxiliary nondecreasing function that arises in the representation of the disorder as for standard normal. Under an additional regularity assumption on , we further show that the variance is of order at most .
Solution combusted ultrathin Co3O4/CoO heterophase electrocatalyst for solar‐energy driven bifunctional water electrolysis
Authors: Sriram Sundarraj , Vishnu Bakthavachalam , Jayabharathi Jayaraman 
Published: August 2023

AbstractPotential low‐cost solution combustion synthesis of cobalt oxide (SCSCO: Co3O4/CoO) by using sugar as a fuel for H2 and O2 generation. Co3O4/CoO heterophase provided multiple functional sites and abundant interfaces between the components owing to synergistic effect. The sufficient adsorption sites in SCSCO6 favoured the formation of reactive intermediates which leads to extraordinary OER and HER process. The SCSCO6 exhibits η of 271 mV (102 mV dec−1) for OER and 174 mV (73 mV dec−1) for HER to achieve 10 mA cm−2 (without iR correction). TOF of SCSCO6 (OER: 0.0624 s−1/IrO2‐ 0.0185 s−1; HER: 0.0282 s−1/Pt ‐ 0.0843 s−1) was found to be higher than IrO2 and near to Pt, respectively. The SCSCO6 displays durability of 130 h with potential loss of 3.2 % (OER) and 3.0 % (HER). The disordered oxidation states and high surface area of SCSCO6 (BET ‐ 99 m2 g−1: ECSA ‐ 151.27 m2/g) facilitates the bifunctional activity. The fabricated water electrolyzer consist of SCSCO6//SCSCO6 affords 10 mA cm−2 @1.64 V and exhibits high stability (>130 h: 4.1 % potential loss). The solar‐to‐hydrogen electrolyser (SCSCO6//SCSCO6) afforded non‐stop evolution of H2 and O2 @1.63 V which can be recommended for low‐cost, large‐scale hydrogen production.
Synthesis of Novel Oxime and Benzofuran Chemical Frameworks Possessing Potent Anticholinesterase Activity: A SAR Study Related to Alzheimer Disease
Authors: Yilmaz Anil , Koca Murat , Boga Mehmet , Kurt Adnan , Ozturk Turan 
Published: August 2023

AbstractAlzheimer Disease (AD) is a neurological disorder that causes the brain to shrink and brain cells to eventually die. Main symptom of AD is dementia. Today, approximately 50 million people worldwide are estimated to have AD. However, there is not a determined cure known against AD today. There are just four drugs against AD on the market. Unfortunately, none of them can totally destroy AD. Thus, discovering new molecules having capability to treat AD is required and significant. Benzofurans and oximes demonstrate a number of biological effects including anti‐inflammatory and brain‐barrier penetrating. For this reason, a number of novel compounds bearing oxime and benzofuran skeletons were designed and synthesized, and their anticholinesterase activities were investigated. Based on the results, several molecules demonstrated very strong anticholinesterase activities against both AChE and BChE enzymes, even much better than the reference drug molecule, Galantamine. Besides, structure‐activity relationship (SAR) studies belonging to these chemical cores were revealed through this study for the first time. Various derivatives with different types of selective activities were obtained, which brightens the detailed SAR tendency of these molecules. This study can contribute to discover a novel lead drug molecule against AD, which is an urgent need.
Quantifying the Efficacy of Magnetic Nanoparticles for MRI and Hyperthermia Applications via Machine Learning Methods
Authors: Kim Pavel , Serov Nikita , Falchevskaya Aleksandra , Shabalkin Ilia , Dmitrenko Andrei , Kladko Daniil , Vinogradov Vladimir 
Published: August 2023

AbstractMagnetic nanoparticles are a prospective class of materials for use in biomedicine as agents for magnetic resonance imagining (MRI) and hyperthermia treatment. However, synthesis of nanoparticles with high efficacy is resource‐intensive experimental work. In turn, the use of machine learning (ML) methods is becoming useful in materials design and serves as a great approach to designing nanomagnets for biomedicine. In this work, for the first time, an ML‐based approach is developed for the prediction of main parameters of material efficacy, i.e., specific absorption rate (SAR) for hyperthermia and r1/r2relaxivities in MRI, with parameters of nanoparticles as well as experimental conditions as descriptors. For that, a unique database with more than 980 magnetic nanoparticles collected from scientific articles is assembled. Using this data, several tree‐based ensemble models are trained to predict SAR, r1and r2relaxivity. After hyperparameter optimization, models reach performances of R2= 0.86, R2= 0.78, and R2= 0.75, respectively. Testing the models on samples unseen during the training shows no performance drops. Finally, DiMag, an open access resource created to guide synthesis of novel nanosized magnets for MRI and hyperthermia treatment with machine learning and boost development of new biomedical agents, is developed.
Research progress of electrocatalysts for the preparation of H2O2 by electrocatalytic oxygen reduction reaction
Authors: Ren Xuefeng , Dong Xiaoman , Liu Lifen , Hao Jian , Zhu Haiding , Liu Anmin , Wu Gang 
Published: August 2023

AbstractAs an eco‐friendly oxidant and energy carrier, H2O2 is used in various fields. The industrial production of H2O2 mostly depends on the large‐scale anthraquinone oxidation processes with high costs. Electrocatalytic production of H2O2 has attracted attention as a renewable and cost‐effective approach to replace traditional ones. With the recent development of oxygen reduction reaction (ORR) catalysts, remarkable progress in electrocatalysts for electrocatalytic H2O2 production by 2e− ORR has been reported. This review summarizes a detailed overview of the recent progress in 2e− ORR for H2O2 production with the mechanism and various efficient catalysts. The catalysts were divided into three parts: noble metal‐based catalyst, non‐noble metal‐based catalyst, and non‐metal‐based catalyst. The influences of the catalytic activity and selectivity were also discussed. Finally, this review explores the prospects of electrocatalytic 2e− ORR for H2O2 synthesis and potential research directions for electrocatalysts. It aims to offer guidance in designing efficient 2e− ORR electrocatalysts and inspire further innovation in electrocatalytic H2O2 synthesis.
Growing Utilization of Radical Chemistry in the Synthesis of Pharmaceuticals
Authors: Gupta Anjali , Laha Joydev K. 
Published: August 2023

AbstractOur current unhealthy lifestyle and the exponential surge in the population getting affected by a variety of diseases have made pharmaceuticals or drugs an imperative part of life, making the development of innovative strategies for drug discovery or the introduction of refined, cost‐effective and modern technologies for the synthesis of clinically used drugs, a need of the hour. Ever since their discovery, free radicals and radical cations or anions as reactive intermediates have captivated the chemists, resulting in an exceptional utilization of these moieties throughout the field of chemical synthesis, owing to their unprecedented and widespread reactivity. Sticking with the idea of not judging the book by its cover, despite the conventional thought process of radicals being unstable and difficult to control entities, scientists and academicians around the globe have done an appreciable amount of work utilizing both persistent as well as transient radicals for a variety of organic transformations, exemplifying them with the synthesis of significant biologically active pharmaceutical ingredients. This review truly accounts for the organic radical transformations including radical addition, radical cascade cyclization, radical/radical cross‐coupling, coupling with metal‐complexes and radical cations coupling with nucleophiles, that offers fascinating and unconventional approaches towards the construction of intricate structural frameworks of marketed APIs with high atom‐ and step‐economy; complementing the otherwise employed traditional methods. This tutorial review presents a comprehensive package of diverse methods utilized for radical generation, featuring their reactivity to form critical bonds in pharmaceutical total synthesis or in building key starting materials or intermediates of their synthetic journey, acknowledging their excellence, downsides and underlying mechanisms, which are otherwise poorly highlighted in the literature. Despite great achievements over the past few decades in this area, many challenges and obstacles are yet to be unraveled to shorten the distance between the academics and the industry, which are all discussed in summary and outlook.
miR‐186‐5p targets TGFβR2 to inhibit RAW264.7 cell migration and proliferation during mouse skin wound healing
Authors: Wang Yinglei , Li Yuansheng , Ni Dan , Wei Ziqi , Fu Zhe , Li Chao , Sun Huiling , Wu Yutong , Li Yilin , Zhang Yingxuan , Liu Naixin , Liu Yixiang , Wang Zhuo , Li Jiayi , Sun Dandan , He Li , Yang Ying , Wang Ying , Yang Xinwang 
Published: August 2023

AbstractBackgroundActive peptides play a vital role in the development of new drugs and the identification and discovery of drug targets. As the first reported native peptide homodimer with pro‐regenerative potency, OA‐GP11d could potentially be used as a novel molecular probe to help elucidate the molecular mechanism of skin wound repair and provide new drug targets.MethodsBioinformatics analysis and luciferase assay were adopted to determine microRNAs (miRNAs) and its target. The prohealing potency of the miRNA was determined by MTS and a Transwell experiment against mouse macrophages. Enzyme‐linked immunosorbent assay, realtime polymerase chain reaction, and western blotting were performed to explore the molecular mechanisms.ResultsIn this study, OA‐GP11d was shown to induce Mus musculus microRNA‐186‐5p (mmu‐miR‐186‐5p) down‐regulation. Results showed that miR‐186‐5p had a negative effect on macrophage migration and proliferation as well as a targeted and negative effect on TGF‐β type II receptor (TGFβR2) expression and an inhibitory effect on activation of the downstream SMAD family member 2 (Smad2) and protein‐p38 kinase signaling pathways. Importantly, delivery of a miR‐186‐5p mimic delayed skin wound healing in mice.ConclusionmiR‐186‐5p regulated macrophage migration and proliferation to delay wound healing through the TGFβR2/Smad2/p38 molecular axes, thus providing a promising new pro‐repair drug target.