bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gelothermal Synthesis of Monodisperse MIL‐88A Nanoparticles with Tunable Sizes and Metal Centers for Potential Bioapplications
Authors: Zhang Mengmeng , Lu Mingzhu , Qiu Tianze , Wang Qiao , Chen Zhenxia , Deng Mingli , Yang Yongtai , Yang Yannan , Li Wei , Ling Yun , Zhou Yaming 
Published: April 2023

AbstractDeveloping novel synthetic strategies to downsize metal‐organic frameworks (MOFs) from polydisperse crystals to monodisperse nanoparticles is of great importance for their potential bioapplications. In this work, a novel synthetic strategy termed gelothermal synthesis is proposed, in which coordination polymer gel is first prepared and followed by a thermal reaction to give the monodisperse MOF nanoparticles. This novel synthetic strategy successfully leads to the isolation of Materials of Institute Lavoisier (MIL‐88), Cu(II)‐fumarate MOFs (CufumDMF), and Zeolitic Imidazolate Frameworks (ZIF‐8) nanoparticles. Focused on MIL‐88A, the studies reveal that the size can be well‐tuned from nanoscale to microscale without significant changes in polydispersity index (PDI) even in the case of in situ metal substitution. A possible mechanism is consequently proposed based on extensive studies on the gelothermal condition including sol‐gel chemistry, thermal condition, kinds of solvents, and so on. The unique advantages of monodisperse MIL‐88A nanoparticles over polydisperse ones are further demonstrated in terms of in vitro magnetic resonance imaging (MRI), cellular uptake, and drug‐carrying properties.
Successful use of carbon dioxide laser for the treatment of eyelid cystadenomatosis (hidrocystomatosis) in a Persian cat
Authors: Loek Rachael , Knollinger Amy , Laporte Carine 
Published: April 2023

AbstractFeline cystadenomatosis is characterised by the development of numerous cysts of modified apocrine gland origin. Sequelae include structural or functional changes of the affected tissue(s), discomfort and secondary infections. While carbon dioxide laser ablation has been described for cystadenomatosis of the periauricular/auricular, lip, chin and perianal regions, peer‐reviewed studies using the therapy for eyelid cystadenomas (hidrocystomas) with histopathologic confirmation of diagnosis are lacking. This report describes the successful use of carbon dioxide laser ablation to treat eyelid manifestations of feline cystadenomatosis without adverse effect.
Engagements with Gender, Sexuality, and Authenticity in Cosplay
Authors: Glasspool Lucy 
Published: April 2023

AbstractThis chapter examines connections between gender performance and the concept of authenticity in three types of cosplay: crossplay, “trans” cosplay, and erotic cosplay. Cosplay is a fan practice in which the body of the cosplayer (who takes on various roles such as audience, craftsperson, performer, editor, and distributor) is crucial, both to their own performance and experience in real time and to the creation of digital media, which is disseminated online and used by themselves and other fans for various purposes. I argue that the definition of authenticity articulated by cosplayers and their audiences shifts according to the goals of the cosplay, particularly when it is considered to include a gendered or sexual aspect. While a minority of cosplay practices are a site of deliberate and politicized articulations of non-normative models of gender, other types move away from “meaning-making” and questions of normativity or identity-based gender and sexuality, through affective response to the various bodies and images in their respective cosplay fandoms. The chapter brings these three gendered cosplay types together and compares their performances and fan reactions to those performances using affect theory. It demonstrates that fan culture encompasses traditional gender politics at times, but also declines to engage with such social issues in the quest of intense but more ephemeral embodied experiences that transform the value and definition of authenticity.
Introduction: Fundraising and Neoliberalization in Canada
Authors: Raddon Mary-Beth 
Published: April 2023

AbstractIn this chapter, I introduce the idea that professional fundraising is, in the words of one Canadian fundraiser, a “business of hope.” I argue that successful fundraising careers provide a lens for understanding Canada’s neoliberalization. However, to avoid reducing neoliberalism to a broad abstraction, I make three commitments in this book: first, to show the meaning of neoliberalism through fundraisers’ perspectives and through the policy context of their careers in the late 1990s and early 2000s; second, to contrast neoliberalism with the shape of the welfare state that came before; and third, to take a dual political-economic and cultural theoretical approach, holding neoliberalism to be both economic doctrine and governing rationality, revealing neoliberal change to be both structural and cultural.
Target-aware Bayesian inference via generalized thermodynamic integration
Authors: Llorente F. , Martino L. , Delgado D. 
Published: April 2023

AbstractIn Bayesian inference, we are usually interested in the numerical approximation of integrals that are posterior expectations or marginal likelihoods (a.k.a., Bayesian evidence). In this paper, we focus on the computation of the posterior expectation of a function$$f(\textbf{x})$$f(x). We consider atarget-awarescenario where$$f(\textbf{x})$$f(x)is known in advance and can be exploited in order to improve the estimation of the posterior expectation. In this scenario, this task can be reduced to perform several independent marginal likelihood estimation tasks. The idea of using a path of tempered posterior distributions has been widely applied in the literature for the computation of marginal likelihoods. Thermodynamic integration, path sampling and annealing importance sampling are well-known examples of algorithms belonging to this family of methods. In this work, we introduce a generalized thermodynamic integration (GTI) scheme which is able to perform a target-aware Bayesian inference, i.e., GTI can approximate the posterior expectation of a given function. Several scenarios of application of GTI are discussed and different numerical simulations are provided.
Hormonal and molecular characterization of calcium oxalate stone formers predicting occurrence and recurrence
Authors: Elshal Ahmed M. , Shamshoun Heba , Awadalla Amira , Elbaz Ramy , Ahmed Asmaa E. , El-khawaga Omali Y. , Shokeir Ahmed A. 
Published: April 2023

AbstractThe purpose of the study is to investigate the role of sex hormones, androgen receptors (ARs) and miRNA/CSF-1 in occurrence and recurrence of calcium oxalate (CaOx) renal urolithiasis. In this prospective study, 74 patients with CaOx stones; stone formers group (SFG) and 40 healthy subjects; control group were compared. SFG includes both de novo and recurrent cases. Steroid sex hormone plasma assay including testosterone, free testosterone, dihydrotestosterone, estradiol, and sex hormone binding globulin was analyzed. ARs, miRNA-185-5p and CSF-1 expression were compared between the groups. SFG showed significant higher ARs and miRNA-185-5p expression (3.7 ± 1.3, 1.8 ± 0.4, respectively) than control group (1 ± 0.08 and 1 ± 0.07, respectively) (p < 0.05). However, CSF-1 expression was significantly lower in stone formers than control group (0.4 ± 0.19 vs 1 ± 0.1, respectively) (p < 0.05). No differences were detected between de novo and recurrent SFG regarding sex hormones, AR, miRNA or CSF-1 expression. Our data suggest the important role of AR, miRNA and CSF-1 signaling in human nephrolithiasis pathogenesis.
Binding affinity improvement analysis of multiple-mutant Omicron on 2019-nCov to human ACE2 by in silico predictions
Authors: Li Bo , Guo Jindan , Hu Wenxiang , Chen Yubao 
Published: April 2023

Abstract
Context
Since the outbreak of COVID-19 in 2019, the 2019-nCov
coronavirus has appeared diverse mutational characteristics due to its own
flexible conformation. One multiple-mutant strain (Omicron) with surprisingly
infective activity outburst, and affected the biological activities of current
drugs and vaccines, making the epidemic significantly difficult to prevent and
control, and seriously threaten health around the world. Importunately
exploration of mutant characteristics for novel coronavirus Omicron can supply
strong theoretical guidance for learning binding mechanism of mutant viruses.
What’s more, full acknowledgement of key mutated-residues on Omicron strain can
provide new methodology of the novel pathogenic mechanism to human ACE2
receptor, as well as the subsequent vaccine development.

Methods
In this research, 3D structures of 32 single-point mutations
of 2019-nCov were firstly constructed, and 32-sites multiple-mutant Omicron
were finally obtained based one the wild-type virus by homology modeling method.
One total number of 33 2019-nCov/ACE2 complex systems were acquired by
protein-protein docking, and optimized by using preliminary molecular dynamic
simulations. Binding free energies between each 2019-nCov mutation system and
human ACE2 receptor were calculated, and corresponding binding patterns
especially the regions adjacent to mutation site were analyzed. The results
indicated that one total number of 6 mutated sites on the Omicron strain played
crucial role in improving binding capacities from 2019-nCov to ACE2 protein.
Subsequently, we performed long-term molecular dynamic simulations and
protein-protein binding energy analysis for the selected 6 mutations. 3
infected individuals, the mutants T478K, Q493R and G496S with lower binding
energies -66.36, -67.98 and -67.09 kcal/mol also presents the high infectivity.
These findings indicated that the 3 mutations T478K, Q493R and G496S play the
crucial roles in enhancing binding affinity of Omicron to human ACE2 protein.
All these results illuminate important theoretical guidance for future virus
detection of the Omicron epidemic, drug research and vaccine development.
Cohomology of manifolds with structure group $$U(n) \times O(s)$$
Authors: Raźny Paweł 
Published: April 2023

AbstractWe introduce a new spectral sequence for the study of $${\mathcal {K}}$$
K
-manifolds which arises by restricting the spectral sequence of a Riemannian foliation to forms invariant under the flows of $$\{\xi _1,\ldots ,\xi _s\}$$

{

ξ
1

,
…
,

ξ
s

}

. We use this sequence to generalize a number of theorems from K-contact geometry to $${\mathcal {K}}$$
K
-manifolds. Most importantly we compute the cohomology ring and harmonic forms of $${\mathcal {S}}$$
S
-manifolds in terms of primitive basic cohomology and primitive basic harmonic forms (respectively). As an immediate consequence of this we get that the basic cohomology of $${\mathcal {S}}$$
S
-manifolds are a topological invariant. We also show that the basic Hodge numbers of $${\mathcal {S}}$$
S
-manifolds are invariant under deformations. Finally, we provide similar results for $${\mathcal {C}}$$
C
-manifolds.
In Vitro Simulated Neuronal Environmental Conditions Qualify Umbilical Cord Derived Highly Potent Stem Cells for Neuronal Differentiation
Authors: Maassen Jessika , Guenther Rebecca , Hondrich Timm J. J. , Cepkenovic Bogdana , Brinkmann Dominik , Maybeck Vanessa , Offenhäusser Andreas , Dittrich Barbara , Müller Anna , Skazik-Voogt Claudia , Kosel Maximilian , Baum Christoph , Gutermuth Angela 
Published: April 2023

Abstract
The healing of neuronal injuries is still an unachieved goal. Medicine-based therapies can only extend the survival of patients, but not finally lead to a healing process. Currently, a variety of stem cell-based tissue engineering developments are the subject of many research projects to bridge this gap. As yet, neuronal differentiation of induced pluripotent stem cells (iPS), embryonic cell lines, or neuronal stem cells could be accomplished and produce functional neuronally differentiated cells. However, clinical application of cells from these sources is hampered by ethical considerations. To overcome these hurdles numerous studies investigated the potential of adult mesenchymal stem cells (MSCs) as a potential stem cell source. Adult MSCs have been approved as cellular therapeutical products due to their regenerative potential and immunomodulatory properties. Only a few of these studies could demonstrate the capacity to differentiate MSCs into active firing neuron like cells. With this study we investigated the potential of Wharton’s Jelly (WJ) derived stem cells and focused on the intrinsic pluripotent stem cell pool and their potential to differentiate into active neurons. With a comprehensive neuronal differentiation protocol comprised of mechanical and biochemical inductive cues, we investigated the capacity of spontaneously forming stem cell spheroids (SCS) from cultured WJ stromal cells in regard to their neuronal differentiation potential and compared them to undifferentiated spheroids or adherent MSCs. Spontaneously formed SCSs show pluripotent and neuroectodermal lineage markers, meeting the pre-condition for neuronal differentiation and contain a higher amount of cells which can be differentiated into cells whose functional phenotypes in calcium and voltage responsive electrical activity are similar to neurons. In conclusion we show that up-concentration of stem cells from WJ with pluripotent characteristics is a tool to generate neuronal cell replacement.
Graphical Abstract
Evaluation of the wellbore drillability while horizontally drilling sandstone formations using combined regression analysis and machine learning models
Authors: Mahmoud Ahmed Abdulhamid , Gamal Hany , Elkatatny Salaheldin 
Published: April 2023

AbstractThe rate of penetration (ROP) is an influential parameter in the optimization of oil well drilling because it has a huge impact on the total drilling cost. This study aims to optimize four machine learning models for real-time evaluation of the ROP based on drilling parameters during horizontal drilling of sandstone formations. Two well data sets were implemented for the model training–testing (Well-X) and validation (Well-Y). A total of 1224 and 524 datasets were implemented for training and testing the model, respectively. A correlation for ROP assessment was suggested based on the optimized artificial neural network (ANN) model. The precision of this equation and the optimized models were tested (524 datapoints) and validated (2213 datapoints), and their accuracy was compared to available ROP correlations. The developed ANN-based equation predicted the ROP with average absolute percentage errors (AAPE) of 0.3% and 1.0% for the testing and validation data, respectively. The new empirical equation and the optimized fuzzy logic and functional neural network models outperformed the available correlations in assessing the ROP. The support vector regression accuracy performance showed AAPE of 26.5%, and the correlation coefficient for the estimated ROP was 0.50 for the validation phase. The outcomes of this work could help in modeling the ROP prediction in real time during the drilling process.
Adjoint high-dimensional aircraft shape optimization using a CAD-ROM parameterization
Authors: Merle A. , Bekemeyer P. , Görtz S. , Keye S. , Reimer L. 
Published: April 2023

AbstractA gradient-based aeroelastic shape optimization framework making use of a reduced order model to substitute a parameterization based on computer-aided design software is presented. This parameterization concept is not novel in principle, but it is embedded here in a complex high-fidelity optimization process and proven for a high-dimensional design space. The design software is used initially to generate a parametric model of a three-dimensional transport aircraft configuration. To streamline the actual optimization process, the computer-aided design model is replaced with a parametric reduced order model based on proper orthogonal decomposition that is capable of predicting discrete surface displacement fields as a function of the design parameters. During the optimization, surface displacements are computed according to the current design parameters and applied on the baseline shape. In every optimization step, the aircraft's steady-state equilibrium of forces and moments are satisfied by a trimming algorithm and the Reynolds-averaged Navier–Stokes solver TAU is coupled with a linear structural finite-element method model. Gradients are computed analytically using geometric sensitivities provided by the reduced order model and by applying the adjoint method to the flow solver and the mesh deformation tool. The workflow is embedded within FlowSimulator, a multiphysics environment for high performance computing. The optimization process is demonstrated for a high-dimensional wing parameterization with 126 degrees of freedom. The aircraft cruise drag could be significantly reduced by 6% on a series of three continuously refined meshes for the aerodynamic analysis. For an accurate representation of the optimal shape by the computer-aided design software after the optimization, the approximation error introduced by the reduced order modelling approach must be sufficiently small. Therefore, the accuracy of the predictions was analyzed. The results identify the main source of the geometric error and quantify their effect on the drag reduction gained by the optimization. We dedicate this article to the memory of our colleague and friend Arno Ronzheimer, whose devotion to CAD modeling was unsurpassed.
Comparison of RSW technologies on DP steels with modified instrumented Charpy impact test
Authors: Meilinger Ákos , Prém László , Abd Al Al Sahm Alden , Gáspár Marcell 
Published: April 2023

AbstractIn recent decades the toughness of welded structures becomes more and more important. This trend is particularly valid for the advanced high-strength steels (AHSS), which have reduced toughness comparing to the low-strength structural steels. Dynamic characteristics of the welded joints of the newly developed high-strength steel sheets required by the automotive industry have been neglected, with welding procedures being optimized on the static joint properties, mainly on the tensile-shear force. Up to the present time, testing of dynamic properties of the spot-welded joints has been performed by increased testing speed during tensile testing. The authors have developed a new dynamic testing method and designed new testing equipment for impact bending, which can give a numeric result to characterize the resistance of spot-welded joints against dynamic load. In this paper, this method will be used to evaluate resistance spot-welded joints made on DP600 and DP800 steels with three different technological parameters, comparing long-time welding, short-time welding, and two-pulse welding. The different parameters cause different weld nugget sizes, failure modes, impact energies, and force–time diagrams. All test results show that bigger weld nugget diameters cause better impact energies and impact forces, but the differences are not perfectly correlated.
Liraglutide and polycystic ovary syndrome: is it only a matter of body weight?
Authors: Pugliese G. , de Alteriis G. , Muscogiuri G. , Barrea L. , Verde L. , Zumbolo F. , Colao A. , Savastano S. 
Published: April 2023

AbstractDespite Polycystic Ovary Syndrome (PCOS) is a very prevalent disorder among women of reproductive age, there is widespread agreement that until now, no pharmacological options are available to tackle the entire spectrum of clinical manifestations encountered in the clinical practice. Obesity and insulin resistance, which commonly characterized this syndrome, prompted the design of studies investigating the effects of glucagon-like peptide 1 (GLP-1) receptor agonists (GLP-1RA) in PCOS. Indeed, a very impressive number of randomized controlled clinical trials (RCTs) and systematic reviews provided robust evidence on the effectiveness of GLP-1RA in PCOS as a new, appealing approach, producing both satisfactory and permanent weight loss, and improvement of insulin resistance at the same time. However, most of the subjects included in the RCTs are PCOS patients with obesity/overweight, whereas a portion of PCOS women, which can even reach 50%, might present a lean phenotype. Moreover, some benefits on clinical and metabolic features of PCOS may not have fully emerged due to the low or medium doses employed in the vast majority of the current studies. Thus, pitfalls in the methodology of these studies have led sometimes to misleading results. In addition, some aspects of GLP-1 beyond weight loss, such as preclinical evidence on GLP-1 effects in directly modulating the hypothalamus–pituitary–gonadal axis, or the effects of GLP-1RA on clinical and biochemical expression of hyperandrogenism, still deserve a greater insight, especially in light of a possible therapeutic use in PCOS women independently of obesity. Aim of this review is to further unravel the possible role of GLP-1 in PCOS pathogenesis, tempting to provide additional supports to the rationale of treatment with GLP-1RA in the management of PCOS also independent of weight loss. For this purpose, the outcomes of RCTs investigating in PCOS the anthropometric and metabolic changes have been treated separately to better underpin the effects of GLP-1 RA, in particular liraglutide, beyond weight loss.
SGMA: a novel adversarial attack approach with improved transferability
Authors: Zhu Peican , Hong Jinbang , Li Xingyu , Tang Keke , Wang Zhen 
Published: April 2023

AbstractDeep learning models are easily deceived by adversarial examples, and transferable attacks are crucial because of the inaccessibility of model information. Existing SOTA attack approaches tend to destroy important features of objects to generate adversarial examples. This paper proposes the split grid mask attack (SGMA), which reduces the intensity of model-specific features by split grid mask transformation, effectively highlighting the important features of the input image. Perturbing these important features can guide the development of adversarial examples in a more transferable direction. Specifically, we introduce the split grid mask transformation into the input image. Due to the vulnerability of model-specific features to image transformations, the intensity of model-specific features decreases after aggregation while the intensities of important features remain. The generated adversarial examples guided by destroying important features have excellent transferability. Extensive experimental results demonstrate the effectiveness of the proposed SGMA. Compared to the SOTA attack approaches, our method improves the black-box attack success rates by an average of 6.4% and 8.2% against the normally trained models and the defense ones respectively.
A Survey on the Integration of Blockchains and Databases
Authors: Zhu Changhao , Li Junzhe , Zhong Ziyue , Yue Cong , Zhang Meihui 
Published: April 2023

AbstractThe success of blockchain technology in cryptocurrencies reveals its potential in the data management field. Recently, there is a trend in the database community to integrate blockchains and traditional databases to obtain security, efficiency, and privacy from the two distinctive but related systems. In this survey, we discuss the use of blockchain technology in the data management field and focus on the fusion system of blockchains and databases. We first classify existing blockchain-related data management technologies by their locations on the blockchain-database spectrum. Based on the taxonomy, we discuss three types of fusion systems and analyze their design spaces and trade-offs. Then, by further investigating the typical systems and techniques of each type of fusion system and comparing the solutions, we provide insights of each fusion model. Finally, we outline the unsolved challenges and promising directions in this field and believe that fusion systems will take a more important role in data management tasks. We hope this survey can help both academia and industry to better understand the advantages and limitations of blockchain-related data management systems and develop fusion systems that meet various requirements in practice.