bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of key molecular players and associated pathways in cervical squamous cell carcinoma progression through network analysis
Authors: Thippana Mallikarjuna , Dwivedi Ayushi , Das Abhishek , Palanisamy Manimaran , Vindal Vaibhav 
Published: April 2023

AbstractCervical cancer is the primary cause of mortality among women in developing countries. Preventing cervical cancer is partially possible through early vaccination against the human papillomavirus, the most common cause of the disease. Nevertheless, it is imperative to understand the genetics of the disease progression to develop new therapeutic strategies. The present study aims to identify potential genes and associated pathways associated with cervical squamous cell carcinoma progression. We used an integrative approach by combining differential expression analysis, network biology, and functional enrichment analysis with survival analysis. In the present study, differential expression analysis of the microarray‐based gene expression profiles of cervical cancer resulted in identifying a total of 544 significantly differentially expressed genes (DEGs). Further, centrality and network vulnerability analysis of the protein–protein interaction network (PPIN) and not well documented in cervical cancer, resulted in seven proteins (FN1, MCM5, TRIP13, KIF11, TTK, CDC45, and BUB1B), in which four proteins were vulnerable. These genes are mostly enriched in biological processes of cell division, mitotic nuclear division, cell cycle checkpoint, and cell proliferation in gene ontology analysis. The KEGG pathway enrichment analysis of the proteins lists them as mainly associated with the cell cycle. In the survival analysis, it was found that the genes MCM5, FN1, KIF11, and CDC45 were statistically significant prognostic factors for cervical cancer. The outcome of the current study identifies and explores the key role of the candidate genes involved in the progression of cervical cancer.
Improved inference forMCP‐Modapproach using time‐to‐event endpoints with small sample sizes
Authors: Diniz Márcio A. , Gallardo Diego I. , Magalhães Tiago M. 
Published: April 2023

AbstractThe Multiple Comparison Procedures with Modeling Techniques (MCP‐Mod) framework has been recently approved by the U.S. Food, Administration, and European Medicines Agency as fit‐for‐purpose for phase II studies. Nonetheless, this approach relies on the asymptotic properties of Maximum Likelihood (ML) estimators, which might not be reasonable for small sample sizes. In this paper, we derived improved ML estimators and correction for their covariance matrices in the censored Weibull regression model based on the corrective and preventive approaches. We performed two simulation studies to evaluate ML and improved ML estimators with their covariance matrices in (i) a regression framework (ii) the Multiple Comparison Procedures with Modeling Techniques framework. We have shown that improved ML estimators are less biased than ML estimators yielding Wald‐type statistics that controls type I error without loss of power in both frameworks. Therefore, we recommend the use of improved ML estimators in the MCP‐Mod approach to control type I error at nominal value for sample sizes ranging from 5 to 25 subjects per dose.
Promising clinical outcomes of nano‐curcumin treatment as an adjunct therapy in hospitalized COVID‐19 patients: A randomized, double‐blinded, placebo‐controlled trial
Authors: Sadeghizadeh Majid , Asadollahi Elahe , Jahangiri Babak , Yadollahzadeh Mahdi , Mohajeri Maryam , Afsharpad Mandana , Najafi Farhood , Rezaie Nader , Eskandari Mohana , Tavakoli‐Ardakani Maria , Feizabadi Faezeh , Masjedi Mohammad Reza 
Published: April 2023

AbstractDifferent immunomodulation strategies have been used to manage COVID‐19 due to the complex immune‐inflammatory processes involved in the pathogenesis of this infection. Curcumin with its powerful anti‐inflammatory and antiviral properties could serve as a possible COVID‐19 therapy. In this study, a randomized, double‐blinded, placebo‐controlled trial was performed to investigate the effectiveness and safety of nano‐curcumin oral soft gels as a complementary therapy in moderate–severe COVID‐19 patients. Hydroxychloroquine (HCQ) plus sofosbuvir was routinely administered to all 42 COVID‐19 patients, who were randomly assigned to receive 140 mg of nano‐curcumin or placebo for 14 days. CT scans of the chest were taken, and blood tests were run for all patients at time points of 0, 7, and 14 days. Our results indicated that C‐reactive protein (CRP) and erythrocyte sedimentation rate (ESR) levels significantly decreased from baseline in the nano‐curcumin‐treated group on day 7. Furthermore, blood levels of D‐dimer, CRP, serum ferritin, ESR, and inflammatory cytokines including IL‐6, IL‐8, and IL‐10 decreased more significantly in the nano‐curcumin‐treated group after 14 days. Additionally, the nano‐curcumin group showed significant improvements in chest CT scores, oxygen saturation levels, and hospitalization duration. Based on our data, oral administration of nano‐curcumin may be regarded as a promising adjunct treatment for COVID‐19 patients due to its ability to speed up chest clearance and recovery.
Research progress of proanthocyanidins and anthocyanidins
Authors: Zhao Yang , Jiang Chengqing , Lu Jiaying , Sun Yihan , Cui Yingyu 
Published: April 2023

AbstractProanthocyanidins (PA) are polyphenol compounds that are widely distributed in the bark, fruit core, skin, or seeds of various plants. Anthocyanidins are water‐soluble natural pigments widely found in plants. They are all flavonoids, a major coloring substance in plants and fruits. In recent years, research into PA and anthocyanins has become increasingly popular because of their excellent anti‐oxidation, scavenging of reactive oxygen free radicals and other physical and chemical activities, and their anti‐cancer, vision protection, aging prevention, skin beauty pharmacological, and nutraceutical effects. Especially, recent systematic reviews and meta‐analyses indicate their value, safety, and efficacy in the prevention, adjuvant therapy, and management of cardiometabolic disease. Here, we summarize their research progress from the aspects of chemical structure, biosynthetic pathways, distribution, extraction and separation, coloration, efficacy, and potential. The comparison between them might provide a reference for their development and efficient utilization. However, more large‐sample‐size randomized controlled trials and high‐quality studies are needed to firmly establish their clinical efficacy.
Pharmacokinetics, pharmacodynamics, toxicity, and formulations of daidzein: An important isoflavone
Authors: Laddha Ankit P. , Kulkarni Yogesh A. 
Published: April 2023

AbstractDaidzein, 7‐hydroxy‐3‐(4‐hydroxyphenyl)‐4H‐chromen‐4‐one is a naturally occurring compound present in leguminous plants, especially in soybeans. Chemically it belongs to the isoflavone class and possesses high nutritive value. Daidzein acts on estrogen receptor and is non‐steroidal in nature hence it can also be called as non‐steroidal phytoestrogenic compound. Daidzein has been studied by many researchers for its pharmacological activities. Daidzein metabolites were also studied in detail for their health benefits. Researchers have developed novel formulations of daidzein in the past few years to improve its aqueous solubility and bioavailability. Self‐emulsified daidzein, poly(lactic‐co‐glycolic) acid daidzein nanoparticles, nanoemulsion, nanoemulsion gel, and co‐crystals are a few of them. The present review provides detailed information on the chemistry, drug development aspects, pharmacokinetics, and pharmacodynamics of daidzein. A literature search was performed using various datasets like PubMed, EBSCO, ProQuest Scopus, and selected websites including the National Institutes of Health and the World Health Organization. Daidzein has a wide range of pharmacodynamic properties in the treatment of cancer, neurodegenerative disorders, cardiac disorders, diabetes and its complication, osteoporosis, and skin disorders. The pharmacokinetic, pharmacodynamics, and drug development aspects of daidzein will help researchers to design further research work on daidzein in the future.
A new multivariate extended homogeneously weighted moving average monitoring scheme incorporated with a support vector machine
Authors: Pieters Luke , Malela‐Majika Jean‐Claude , Human Schalk , Castagliola Philippe 
Published: April 2023

AbstractStatistical process monitoring (SPM) provides a way, by means of monitoring schemes, to be alerted when a process significantly changes, and to initiate investigations for potential causes of variation. However, these schemes can only determine if the process is stable or unstable and they cannot provide any additional information. Several researchers have recommended the integration of machine learning (ML) approaches into SPM as a solution for the shortfalls of the techniques used to construct traditional monitoring schemes. This paper introduces a new multivariate extended homogeneously weighted moving average (MEHWMA) monitoring scheme and investigates its performance in terms of the run‐length distribution using simulation. In addition, the proposed MEHWMA scheme is integrated with a support vector machine to allow for the classification of the out‐of‐control events which facilitates the identification of the root causes of variation in the process. A numerical illustrative example is provided using real‐life data.
PE, or not PE, that is the question: The case of overlooked lyso‐N‐acylphosphatidylethanolamines
Authors: Ventura Giovanni , Calvano Cosima Damiana , Bianco Mariachiara , Castellaneta Andrea , Losito Ilario , Cataldi Tommaso R. I. 
Published: April 2023

RationaleLyso derivatives of N‐acyl‐1,2‐diacylglycero‐3‐phosphoethanolamines (L‐NAPEs) are a lipid class mostly expressed in vegetables during stress and tissue damage that is involved in the synthesis of the lipid mediator N‐acylethanolamines. L‐NAPEs can be challenging to distinguish from isomeric phosphatidylethanolamines (PEs), especially in extracted complex samples where they could be confused with abundant PEs.MethodsIn this study, hydrophilic interaction liquid chromatography with electrospray ionization hyphenated with (tandem) mass spectrometry (MS) was proposed to distinguish L‐NAPEs and PEs as deprotonated molecules, [M − H]─, using both high‐resolution/accuracy Fourier transform MS and low‐resolution linear ion trap (LIT) mass analyzers. MS3 experiments of [M − H − KE]─ as precursor ions (KE, ketene loss) using the LIT instrument allowed us to distinguish between isomeric L‐NAPE and PE species.ResultsRegiochemical rules were proposed working on enzymatically synthesized L‐NAPEs. A few key differences in MS/MS spectra, including abnormal intensity of acyl chain losses as fatty acids, the presence of N‐acylphosphoethanolamine ions, and diagnostic ions of the polar head, were disclosed. Additionally, MS3 spectra of [M − H − KE]─ as precursor ions allowed us to confirm the identification of L‐NAPE species. The proposed rules were applied to samples extracted from tomato by‐products including stems and leaves.ConclusionsOverall, our methodology is demonstrated as a robust approach to recognizing L‐NAPEs in complex samples. L‐NAPEs 18:2‐N‐18:2, 18:2‐N‐18:3, 18:3‐N‐18:2, and 18:2‐N‐18:1 were the prevailing compounds in the analyzed tomato samples, accounting for more than 90%. In summary, a reliable method for identifying L‐NAPEs in complex samples is described. The proposed method could prevent overlooking L‐NAPEs and overestimating isomeric PE species in future lipid analyses.
Consensus of interconnected systems via event‐triggered control with different cyber‐physical topologies
Authors: Yu Guan‐Nan , Xiao Jiang‐Wen , Liu Xiao‐Kang , Zeng Ze‐Hong , Wang Yan‐Wu 
Published: April 2023

AbstractIn this paper, the consensus problem for a class of interconnected systems with different cyber‐physical topologies is investigated. A two‐layer control framework is proposed where two different connections exist among the systems in physical and cyber layers, respectively. The former directly reflects the physical coupling among systems, while the latter uses the states' information transferred by communication channels to generate control. The physical and cyber topologies are undirected and not required to be connected. An event‐triggered protocol based on cyber local sampled information is designed with no need to solve any matrix equation or inequality. Theoretical sufficient conditions for consensus are derived in terms of algebraic inequality and Zeno behavior is excluded. A novel expandable construction scheme is proposed to construct switching topologies for cyber layer. Numerical simulation and comparison show the effectiveness of the proposed control method and the advantage on saving communication network constructions.
Hydropower peaking and stalled salmon migration are linked by altered reservoir hydraulics: A multidisciplinary synthesis and hypothesis
Authors: Coutant Charles C. 
Published: April 2023

AbstractAdding variable renewable energy (solar, wind) in electricity portfolios will increase need for fast grid responses through hydropower peaking. Over 60 years of daily hydropeaking by four dams on the lower Snake River, United States of America provide an example of long‐term environmental impacts. Downstream‐migrating Chinook salmon (Oncorhynchus tshawytscha) subyearlings that normally transit the dammed river in summer slowed their migration into autumn with about one‐third of those delayed overwintering in the reservoirs. Specific cause for stalled migration is controversial, with options including evolution of a new migratory strain and action of environment on individual migrants. Analysis of archived dam data shows evidence of reservoir seiches (standing waves of waterbody oscillations) caused by within‐day hydropower peaking during the October–February period of stalled migration. Analyses of limnological literature identified typical water movements in seiches and analyses of biological literature identified typical effects on fish kinematics (shape, motion) of changing flows in a fish's immediate proximity. Process‐focused inference predicts anomalous fish‐migration behavior in seiche hydraulics, which matches fish‐tracking data obtained by others in Lower Monumental Reservoir. Fish tracks include upstream swimming (‘downstream’ in reverse seiche flows) and periods of disoriented movements typical of responses to repeatedly changing flows. This multi‐disciplinary, process‐focused synthesis yields a testable hypothesis that seiche‐flow hydraulics in the lower Snake River reservoirs from hydropower peaking contribute to known out‐migration delay and overwintering of late‐migrating fall Chinook salmon subyearlings. As hydropower peaking causes seiches in downstream reservoirs elsewhere in North America and Europe, migratory species elsewhere may be susceptible to similar migration delays with long‐term population effects.
Semiparametric detection of changepoints in location, scale, and copula
Authors: Agarwal Gaurav , Eckley Idris A. , Fearnhead Paul 
Published: April 2023

AbstractThis paper proposes a new method to detect changepoints in the location and scale of univariate data sequences. The proposed method assumes that the data belong to the location‐scale family of distributions and estimate the associated densities nonparametrically. Specifically, the approach does not require knowledge of the functional form of the distribution of the data sequence. As such, the approach can detect changepoints in many distributions. We also propose a new method to detect changes in the location of multivariate sequences, using the marginals and a copula to capture the dependence between variables without the influence of marginal distributions. The performance of the proposed semiparametric approach is contrasted against both other competing nonparametric and Gaussian methods, via simulation studies, as well as applications arising from health and finance.
Self‐Assembled Copper‐Based Nanoparticles for Glutathione Activated and Enzymatic Cascade‐Enhanced Ferroptosis and Immunotherapy in Cancer Treatment
Authors: Song Wen‐Fang , Zeng Jin‐Yue , Ji Ping , Han Zi‐Yi , Sun Yun‐Xia , Zhang Xian‐Zheng 
Published: April 2023

AbstractAs an emerging cancer treatment strategy, ferroptosis is greatly restricted by excessive glutathione (GSH) in tumor microenvironment (TME) and low reactive oxygen species (ROS) generation efficiency. Here, this work designs self‐assembled copper‐alanine nanoparticles (CACG) loaded with glucose oxidase (GOx) and cinnamaldehyde (Cin) for in situ glutathione activated and enzymatic cascade‐enhanced ferroptosis and immunotherapy. In response to GSH‐rich and acidic TME, CACG allows to effectively co‐deliver Cu2+, Cin, and GOx into tumors. Released Cin consumes GSH through Michael addition, accompanying with the reduction of Cu2+ into Cu+ for further GSH depletion. With the cascade of Cu+‐catalyzed Fenton reactions and enzyme‐catalyzed reactions by GOx, CACG could get rid of the restriction of insufficient hydrogen peroxide in TME, leading to a robust and constant generation of ROS. With the high efficiency of GSH depletion and ROS production, ferroptosis is significantly enhanced by CACG in vivo. Moreover, elevated oxidative stress triggers robust immune responses by promoting dendritic cells maturation and T cell infiltration. The in vivo results prove that CACG could efficiently inhibit tumor growth in 4T1 tumor‐bearing mouse model without causing obvious systemic toxicity, suggesting the great potential of CACG in enhancing ferroptosis and immunotherapy for effective cancer treatment.
Highly Efficient and Stable Perovskite Solar Cells: Competitive Crystallization Strategy and Synergistic Passivation
Authors: Jiao Boxin , Che Zhigang , Quan Ziwei , Wu Wenze , Hu Kun , Li Xiaoyi , Liu Fengzhen 
Published: April 2023

AbstractDefects of perovskite (PVK) films are one of the main obstacles to achieving high‐performance perovskite solar cells (PSCs). Here, the authors fabricated highly efficient and stable PSCs by introducing prolinamide (ProA) into the PbI2 precursor solution, which improves the performance of PSCs by the competitive crystallization and efficient defect passivation of perovskite. The theoretical and experimental results indicate that ProA forms an adduct with PbI2, competes with free I− to coordinate with Pb2+, leads to the increase of the energy barrier of crystallization, and slows down the crystallization rate. Furthermore, the dual‐site synergistic passivation of ProA is revealed by density functional theory (DFT) calculations and experimental results. ProA effectively reduces non‐radiative recombination in the resultant films to improve the photovoltaic performance of PSCs. Notably, ProA‐assisted PSCs achieve 24.61% power conversion efficiency (PCE) for the champion device and the stability of PSCs devices under ambient and thermal environments is improved.
Internal Electric Field Induced by Superexchange Interaction on Mn4+‐O2−‐Ni2+ Unit Enables Highly Efficient Hybrid Capacitive Deionization
Authors: Wang Dewei , Fu Zhenzhen , Liu Xia , Yao Yebo , Ji Yingjie , Gao Xueying , Wang Jinrui , Hou Zishan , Li Yongjia , Yao Shuyun , Wang Shiyu , Xie Jiangzhou , Yang Zhiyu , Yan Yi‐Ming 
Published: April 2023

AbstractInternal electric field (IEF) construction is an innovative strategy to regulate the electronic structure of electrode materials to promote charge transfer processes. Despite the wide use of IEF in various applications, the underlying mechanism of its formation in an asymmetric TM‐O‐TM unit still remains poorly understood. Herein, the essential principles for the IEF construction at electron occupancy state level and explore its effect on hybrid capacitive deionization (HCDI) performance is systematically investigated. By triggering a charge separation in Ni‐MnO2 via superexchange interactions in a coordination structure unit of Mn4+‐O2−‐Ni2+, the formation of an IEF that can enhance charge transfer during the HCDI process is demonstrated. Experimental and theoretical results confirm the electrons transfer from O 2p orbital to TM (Ni2+ and Mn4+) eg orbital via superexchange interactions in the basic Mn4+‐O2−‐Ni2+ coordination unit. As a result of the charge redistribution, the IEF endows Ni‐MnO2 with superior electron and ion transfer property. This work presents a unique material design strategy that activates the electrochemical performance, and provides insights into the formation mechanism of IEF in an asymmetric TM‐O‐TM unit, which has potential applications in the construction of other innovative materials.
Bioderived Ionic Liquids with Alkaline Metal Ions for Transient Ionics
Authors: Yamada Shunsuke 
Published: April 2023

AbstractCholine lactate, an ionic liquid composed of bioderived materials, offers an opportunity to develop biodegradable electrochemical devices. Although ionic liquids possess large potential windows, high conductivity, and are nonvolatile, they do not exhibit electrochemical characteristics such as intercalation pseudocapacitance, redox pseudocapacitance, and electrochromism. Herein, bioderived ionic liquids are developed, including metal ions, Li, Na, and Ca, to yield ionic liquid with electrochemical behavior. Differential scanning calorimetry results reveal that the ionic liquids remained in liquid state from 230.42 to 373.15 K. The conductivities of the ionic liquids with metal are lower than those of the pristine ionic liquid, whereas the capacitance change negligibly. A protocol of the Organization for Economic Co‐operation and Development 301C modified MITI test (I) confirms that the pristine ionic liquid and ionic liquids with metal are readily biodegradable. Additionally, an ionic gel comprising the ionic liquid and poly(vinyl alcohol) is biodegradable. An electrochromic device is developed using an ionic liquid containing Li ions. The device successfully changes color at −2.5 V, demonstrating the intercalation of Li ions into the WO3 crystal. The results suggest that the electrochemically active ionic liquids have potential for the development of environmentally benign devices, sustainable electronics, and bioresorbable/implantable devices.
Sparse Matrix Ordering Algorithms
Authors: Scott Jennifer , Tůma Miroslav 
Published: April 2023

AbstractSo far, our focus has been on the theoretical and algorithmic principles involved in sparse Gaussian elimination-based factorizations. To limit the storage and the work involved in the computation of the factors and in their use during the solve phase it is generally necessary to reorder (permute) the matrix before the factorization commences. The complexity of the most critical steps in the factorization is highly dependent on the amount of fill-in, as can be seen from the following observation.
Network Creation During Agglomeration Processes of Polydisperse and Monodisperse Systems of Droplets
Authors: Schneider Johannes Josef , Faggian Alessia , Diaz Aitor Patiño , Li Jin , Holler Silvia , Casiraghi Federica , Sanahuja Lorena Cebolla , Matuttis Hans-Georg , Hanczyc Martin Michael , Barrow David Anthony , Weyland Mathias Sebastian , Flumini Dandolo , Eggenberger Hotz Peter , Dimitriou Pantelitsa , Jamieson William David , Castell Oliver , Eschle Patrik , Füchslin Rudolf Marcel 
Published: April 2023

AbstractWe simulate the movement and agglomeration of oil droplets in water under constraints, using a simplified stochastic-hydrodynamic model. We analyze both local and global properties of the networks formed by the agglomerations of droplets for various system sizes. We focus on the differences of these properties for monodisperse and polydisperse systems of droplets. For the mean degree, we obtain different values for critical exponents.