bluuebunny/crossref_metadata_2025_split huggingface dataset:
Von evolutionär uralten Schwammgenen zu biotechnologischen Materialien
Authors: Wiens Matthias , Müller Werner E. G. 
Published: September 2021

AbstractConventional synthetic methodologies mostly bar access to the fabrication of innovative silica- or metal oxide-based materials with an expanded property spectrum. However, nature represents an inexhaustible source of inspiration for the synthesis of multifunctional materials with tailored attributes. Particularly the low-energy catalytic pathways of poriferan biosilicification, with the enzyme silicatein at their heart, have been inspiring recent biotechnological approaches.
Lantibiotika — hoffnungsvolle Alternative gegen Antibiotikaresistenz?
Authors: Gottstein Julia , Klose Hans , Knospe C. Vivien , Reiners Jens , Smits Sander H. , Schmitt Lutz 
Published: September 2021

AbstractNisin is one of the most studied lantibiotics which are antimicrobial peptides. Nowadays the knowledge about the Nisin-modification system is profound and can be explored to express and modify lantibiotics with new or specific antimicrobial features. Here we highlight recent advances that include a strategy on bypassing natural occurring resistances against antimicrobial peptides.
Wie Tiere sich selbst konstruieren
Authors: Čapek Daniel , Ünalan Murat , Müller Patrick 
Published: September 2021

AbstractThe central question in developmental biology is how an embryo self-organizes from a ball of cells into a structured animal. We use experimental and theoretical approaches to study how the activity of a small number of signaling molecules is spatiotemporally controlled to allow for embryonic self-construction. Here, we propose how machine learning could be harnessed to gain a new understanding of the mechanisms by which interactions between signaling pathways control robust embryogenesis and morphology changes in evolution.
Vom Huhn abgeleitete Antikörper für Diagnostik und Immuntherapie
Authors: Elter Adrian , Bogen Jan P. , Habermann Jan , Kolmar Harald 
Published: September 2021

AbstractDue to the large evolutionary distance between birds (Aves) und humans, immunization of chickens with human proteins results in a strong response of the bird’s adaptive immune system to proteins of mammalian origin. Additionally, chicken-derived antibodies display less undesired cross-reactivity in analytical setups than conventional rodent-derived antibodies. Due to these features as well as the facile amplification of antibody-coding genes, chicken-derived antibodies emerged as promising molecules for the immunotherapy and various biotechnological applications.
Induzierbare Promotoren für Cyanobakterien
Authors: Behle Anna , Axmann Ilka M. 
Published: September 2021

AbstractCyanobacteria are versatile organisms with extreme phylogenetic diversity. With increasing need for alternative sustainable solutions, they are becoming increasingly attractive as production hosts in the biotechnology sector. Opposed to established heterotrophic model organisms, newer production hosts still require extensive characterization of standard biological parts in order to build complex networks and circuits. Here, we present examples of quantitative characterization of inducible promoters in the model organism Synechocystis sp. PCC 6803.
Ein Wechselbad für Mikroben: Wachsen unter dynamischen Umweltbedingungen
Authors: Blöbaum Luisa , Täuber Sarah , Grünberger Alexander 
Published: September 2021

AbstractMicrofluidic technologies are increasingly used within microbiology for screening and improved understanding of cellular behaviour. The presented system for dynamic microfluidic single-cell cultivation — dMSCC — offers a new cultivation method for microbial microcolonies at dynamic environments with oscillation between seconds to hours. This tool has a high potential to improve the understanding of cellular behaviour at dynamic environments as omnipresent in nature and lab-scale cultivation systems.
Desmosomes: emerging pathways and non-canonical functions in cardiac arrhythmias and disease
Authors: Zhang Jing , Liang Yan , Bradford William H. , Sheikh Farah 
Published: September 2021

AbstractDesmosomes are critical adhesion structures in cardiomyocytes, with mutation/loss linked to the heritable cardiac disease, arrhythmogenic right ventricular cardiomyopathy (ARVC). Early studies revealed the ability of desmosomal protein loss to trigger ARVC disease features including structural remodeling, arrhythmias, and inflammation; however, the precise mechanisms contributing to diverse disease presentations are not fully understood. Recent mechanistic studies demonstrated the protein degradation component CSN6 is a resident cardiac desmosomal protein which selectively restricts cardiomyocyte desmosomal degradation and disease. This suggests defects in protein degradation can trigger the structural remodeling underlying ARVC. Additionally, a subset of ARVC-related mutations show enhanced vulnerability to calpain-mediated degradation, further supporting the relevance of these mechanisms in disease. Desmosomal gene mutations/loss has been shown to impact arrhythmogenic pathways in the absence of structural disease within ARVC patients and model systems. Studies have shown the involvement of connexins, calcium handling machinery, and sodium channels as early drivers of arrhythmias, suggesting these may be distinct pathways regulating electrical function from the desmosome. Emerging evidence has suggested inflammation may be an early mechanism in disease pathogenesis, as clinical reports have shown an overlap between myocarditis and ARVC. Recent studies focus on the association between desmosomal mutations/loss and inflammatory processes including autoantibodies and signaling pathways as a way to understand the involvement of inflammation in ARVC pathogenesis. A specific focus will be to dissect ongoing fields of investigation to highlight diverse pathogenic pathways associated with desmosomal mutations/loss.
Self-compassion in Chinese Young Adults: Specific Features of the Construct from a Cultural Perspective
Authors: Zhao Mengya , Smithson Janet , Ford Tamsin , Wang Peng , Wong Ngo Yeung Basil , Karl Anke 
Published: September 2021

Abstract
Objectives
Recent
research has suggested that Chinese individuals from a collectivist culture may have a different understanding of self-compassion, which could differentially contribute to mental health. This study aimed to obtain an in-depth insight into Chinese adults’ understanding of self-compassion.

Methods
Four online focus groups in Chinese undergraduates discussed the construct of self-compassion based on self-kindness, self-judgment, common humanity, isolation, mindfulness, and over-identification. Thematic analysis was used to analyse the data.

Results
Chinese participants valued benign self-criticism and self-reflection when contemplating their understanding of self-compassion. Similarly, participants’ view of self-compassion dimensions can be described as dialectical in that they reflected both negative and positive perceptions in each factor rather than suggesting separate and purely negative or purely positive dimensions. There was also an overlap in the interpretation of the negative dimensions (self-judgment, isolation, and over-identification).

Conclusions
The findings highlight particularities in the understanding of self-compassion in these Chinese students, which may be influenced by philosophical traditions promoting dialecticism and the dual focus on the transformation of the self and social participation. This suggests the importance of a cultural perspective when studying self-compassion and interpreting relevant research findings.
Rigorous review of electrical submersible pump failure mechanisms and their mitigation measures
Authors: Fakher Sherif , Khlaifat Abdelaziz , Hossain M. Enamul , Nameer Hashim 
Published: September 2021

AbstractArtificial lift is a vital part of the life of many oil wells worldwide. Using several artificial lift methods can prolong the life of the wells and increase oil recovery significantly. One of the most applied artificial lift methods nowadays is the electrical submersible pump (ESP). This artificial lift method has the ability to handle large volumes of hydrocarbons and is applicable under many conditions in both offshore and onshore reservoirs. Even though ESP has been applied extensively for many years, it still suffers from many failures due to electrical, mechanical, and operational problems associated with the ESP downhole assembly. Understanding the main reasons behind ESP failures and how to rapidly and effectively avoid and mitigate these failures is imperative to reduce cost and damage and improve operational and rig-personal safety. This research performs a comprehensive review on ESP failure mechanisms and analyzes these failures in order to determine the optimum conditions to operate the ESP. This can help minimize and avoid these failures. Also, should these failures occur, the research proposes several mitigation methods for each failure based on analysis of different field cases worldwide.
Comparing and contrasting clinical consensus and guidelines for anal intraepithelial neoplasia in different geographical regions
Authors: Brogden Danielle R. L. , Lupi Micol E. E. , Warren Oliver J. , Kontovounisios Christos , Mills Sarah C. 
Published: September 2021

AbstractAnal Squamous Cell Carcinoma (ASCC) is an uncommon cancer with a recognised precursor Anal Intraepithelial Neoplasia (AIN). Although there are consistent evidence-based guidelines for the management of ASCC, historically this has not been the case for AIN and as a result there have been geographical variations in the recommendations for the treatment of AIN. More recently there have been updates in the literature to the recommendations for the management of AIN. To assess whether we are now closer to achieving an international consensus, we have completed a systematic scoping review of available guidelines for the screening, treatment and follow-up of AIN as a precursor to ASCC. MEDLINE and EMBASE were systematically searched for available clinical guidelines endorsed by a recognised clinical society that included recommendations on either the screening, treatment or follow-up of AIN. Nine clinical guidelines from three geographical areas were included. The most recent guidelines agreed that screening for AIN in high-risk patients and follow-up after treatment was necessary but there was less consensus on the modality of screening. Six Guidelines recommended the treatment of high-grade AIN and four guidelines describe a follow-up protocol of patients diagnosed with AIN. There appears to be increasing consensus on the treatment and follow-up of patients despite a poor evidence base. There is still significant discrepancy in guidance on the method to identify patients at risk of ASCC and AIN despite consensus between geographical regions on which patient subgroups are at the highest risk.
On the integration of multi-temporal synthetic aperture radar interferometry products and historical surveys data for buildings structural monitoring
Authors: Di Carlo Fabio , Miano Andrea , Giannetti Ilaria , Mele Annalisa , Bonano Manuela , Lanari Riccardo , Meda Alberto , Prota Andrea 
Published: September 2021

AbstractThe management and the safeguard of existing buildings and infrastructures are actual tasks for structural engineering. Non-invasive structural monitoring techniques can provide useful information for supporting the management process and the safety evaluation, reducing at once the impact of disturbances on the structure’s functionality. This paper focuses on the exploitation of advanced multi-temporal differential synthetic aperture radar interferometry (DInSAR) products for the structural monitoring of buildings and infrastructures, subjected to different external actions. In this framework, a methodological approach is proposed, based on the integration of DInSAR measurements with historical sources, accurate 3D modelling and consistent positioning of the reflecting targets in the GIS environment. Documentary sources can prove particularly helpful in collecting technical information, to reconstruct an accurate 3D geometry of the building under monitoring, limiting in-situ surveys. The analysis of DInSAR-based displacements time series and mean deformation velocity values allows the identification of possible critical situations for buildings to be monitored. The paper presents different approaches, with increasing accuracy levels, to study the active deformative processes of the examined buildings and the related damage assessment. An insight into these interpretative approaches is given through the application of the proposed procedure to two case studies in the city of Rome (Italy), the residential building named Torri Stellari in Valco San Paolo (1951–1953) and the housing complex referred to as Corviale (1967–1983), by exploiting the whole COSMO-SkyMed data archive (both ascending and descending acquisitions), collected during the 2011–2019 time interval. Pros and cons of the various approaches are deeply discussed, together with an estimation of the required computational effort.
Constructing cubic curves with involutions
Authors: Halbeisen Lorenz , Hungerbühler Norbert 
Published: September 2021

AbstractIn 1888, Heinrich Schroeter provided a ruler construction for points on cubic curves based on line involutions. Using Chasles’ Theorem and the terminology of elliptic curves, we give a simple proof of Schroeter’s construction. In addition, we show how to construct tangents and additional points on the curve using another ruler construction which is also based on line involutions. As an application of Schroeter’s construction we provide a new parametrisation of elliptic curves with torsion group $$\mathbb {Z}/2\mathbb {Z}\times \mathbb {Z}/8\mathbb {Z}$$Z/2Z×Z/8Zand give some configurations with all their points on a cubic curve.
An improved characterisation of regular generalised functions of white noise and an application to singular SPDEs
Authors: Grothaus Martin , Müller Jan , Nonnenmacher Andreas 
Published: September 2021

AbstractA characterisation of the spaces $${\mathcal {G}}_K$$

G
K

and $${\mathcal {G}}_K'$$

G
K
′

introduced in Grothaus et al. (Methods Funct Anal Topol 3(2):46–64, 1997) and Potthoff and Timpel (Potential Anal 4(6):637–654, 1995) is given. A first characterisation of these spaces provided in Grothaus et al. (Methods Funct Anal Topol 3(2):46–64, 1997) uses the concepts of holomorphy on infinite dimensional spaces. We, instead, give a characterisation in terms of U-functionals, i.e., classic holomorphic function on the one dimensional field of complex numbers. We apply our new characterisation to derive new results concerning a stochastic transport equation and the stochastic heat equation with multiplicative noise.
89Zr-PET imaging in humans: a systematic review
Authors: De Feo Maria Silvia , Pontico Mariano , Frantellizzi Viviana , Corica Ferdinando , De Cristofaro Flaminia , De Vincentis Giuseppe 
Published: September 2021

Abstract
Purpose
The remarkable amount of preclinical data achieved on 89Zr-PET imaging led to a significant clinical translation, concerning mainly immuno-PET applications. The aim of this systematic review is to provide a complete overview on clinical applications of 89Zr-PET imaging, using a systematic approach to identify and collect published studies performed in humans, sorted by field of application and specific disease subsections.

Methods
A systematic literature search of articles suiting the inclusion criteria was conducted on Pubmed, Scopus, Central, and Web Of Science databases, including papers published from January 1967 to November 2020. Eligible studies had to be performed on humans through PET imaging with 89Zr-labeled compounds. The methodological quality was assessed through the Quality Assessment of Diagnostic accuracy Studies-2 tool.

Results
A total of 821 articles were screened. 74 studies performed on humans were assessed for eligibility with the exclusion of further 18, thus 56 articles were ultimately selected for the qualitative analysis.

Conclusions
89Zr has shown to be a powerful PET-imaging tool, in particular for radiolabeling antibodies in order to study antigen expression, biodistribution, anticancer treatment planning and follow-up. Other than oncologic applications, 89Zr-radiolabeled antibodies have been proposed for use in inflammatory and autoimmune disorders with interesting results. 89Zr-labeled nanoparticles represent groundbreaking radiopharmaceuticals with potential huge fields of application. To evaluate the clinical usefulness of 89Zr PET-imaging in different conditions and in real-world settings, and to widen its use in clinical practice, further translation of preclinical to clinical data is needed.
Lubricant self-replenishing slippery surface with prolonged service life for fog harvesting
Authors: Chen Yi , Liu Weimin , Huang Jinxia , Guo Zhiguang 
Published: September 2021

AbstractSlippery lubricant-infused surfaces exhibit excellent fog-harvesting capacities compared with superhydrophobic and superhydrophilic surfaces. However, lubricant depletion is typically unavoidable under dynamic conditions, and reinfused oil is generally needed to recover the fog-harvesting capacity. Herein, an effective strategy for delaying the depletion of lubricant to prolong the service life of fog harvesting is proposed. An ultrathin transparent lubricant self-replenishing slippery surface was fabricated via facile one-step solvent evaporation polymerization. The gel film of the lubricant self-replenishing slippery surface, which was embedded with oil microdroplets, was attached to glass slides via the phase separation and evaporation of tetrahydrofuran. The gel film GFs-150 (with oil content 150 wt% of aminopropyl-terminated polydimethyl siloxane (PDMS-NH2)) exhibited superior slippery and fog-harvesting performance to other gel films. Furthermore, the slippery surfaces with the trait of oil secretion triggered by mechanical stress exhibited better fog-harvesting capabilities and longer service life than surfaces without the function of lubricant self-replenishment. The lubricant self-replenishing, ultrathin, and transparent slippery surfaces reported herein have considerable potential for applications involving narrow spaces, visualization, long service life, etc.
Optimization of pore structure and wet tribological properties of paper-based friction materials using chemical foaming technology
Authors: Li Chang , Fei Jie , Zhou Enzhi , Lu Rui , Cai Xiaohang , Fu Yewei , Li Hejun 
Published: September 2021

AbstractPaper-based friction materials are porous materials that exhibit anisotropy; they exhibit random pore sizes and quantities during their preparation, thereby rendering the control of their pore structure difficult. Composites with different pore structures are obtained by introducing chemical foaming technology during their preparation to regulate their pore structure and investigate the effect of pore structure on the properties of paper-based friction materials. The results indicate that the skeleton density, total pore area, average pore diameter, and porosity of the materials increase after chemical foaming treatment, showing a more open pore structure. The addition of an organic chemical foaming agent improves the curing degree of the matrix significantly. Consequently, the thermal stability of the materials improves significantly, and the hardness and elastic modulus of the matrix increase by 73.7% and 49.4%, respectively. The dynamic friction coefficient increases and the wear rate is reduced considerably after optimizing the pore structure. The wear rate, in particular, decreases by 47.7% from 2.83 × 10−8 to 1.48 × 10−8 cm3/J as the foaming agent content increases. Most importantly, this study provides an effective method to regulate the pore structure of wet friction materials, which is conducive to achieving the desired tribological properties.
The sharp bound of the third Hankel determinant for functions of bounded turning
Authors: Kowalczyk Bogumiła , Lecko Adam 
Published: September 2021

AbstractWe find the sharp bound for the third Hankel determinant $$\begin{aligned} H_{3,1}(f):= \left| {\begin{array}{*{20}c} {a_{1} } & {a_{2} } & {a_{3} } \\ {a_{2} } & {a_{3} } & {a_{4} } \\ {a_{3} } & {a_{4} } & {a_{5} } \\ \end{array} } \right| \end{aligned}$$

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Design and analysis of an efficient machine learning based hybrid recommendation system with enhanced density-based spatial clustering for digital e-learning applications
Authors: Bhaskaran S. , Marappan Raja 
Published: September 2021

AbstractA decision-making system is one of the most important tools in data mining. The data mining field has become a forum where it is necessary to utilize users' interactions, decision-making processes and overall experience. Nowadays, e-learning is indeed a progressive method to provide online education in long-lasting terms, contrasting to the customary head-to-head process of educating with culture. Through e-learning, an ever-increasing number of learners have profited from different programs. Notwithstanding, the highly assorted variety of the students on the internet presents new difficulties to the conservative one-estimate fit-all learning systems, in which a solitary arrangement of learning assets is specified to the learners. The problems and limitations in well-known recommender systems are much variations in the expected absolute error, consuming more query processing time, and providing less accuracy in the final recommendation. The main objectives of this research are the design and analysis of a new transductive support vector machine-based hybrid personalized hybrid recommender for the machine learning public data sets. The learning experience has been achieved through the habits of the learners. This research designs some of the new strategies that are experimented with to improve the performance of a hybrid recommender. The modified one-source denoising approach is designed to preprocess the learner dataset. The modified anarchic society optimization strategy is designed to improve the performance measurements. The enhanced and generalized sequential pattern strategy is proposed to mine the sequential pattern of learners. The enhanced transductive support vector machine is developed to evaluate the extracted habits and interests. These new strategies analyze the confidential rate of learners and provide the best recommendation to the learners. The proposed generalized model is simulated on public datasets for machine learning such as movies, music, books, food, merchandise, healthcare, dating, scholarly paper, and open university learning recommendation. The experimental analysis concludes that the enhanced clustering strategy discovers clusters that are based on random size. The proposed recommendation strategies achieve better significant performance over the methods in terms of expected absolute error, accuracy, ranking score, recall, and precision measurements. The accuracy of the proposed datasets lies between 82 and 98%. The MAE metric lies between 5 and 19.2% for the simulated public datasets. The simulation results prove the proposed generalized recommender has a great strength to improve the quality and performance.