bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data‐driven modelling of turbine wake interactions and flow resistance in large wind farms
Authors: Kirby Andrew , Briol François‐Xavier , Dunstan Thomas D. , Nishino Takafumi 
Published: July 2023

AbstractTurbine wake and local blockage effects are known to alter wind farm power production in two different ways: (1) by changing the wind speed locally in front of each turbine and (2) by changing the overall flow resistance in the farm and thus the so‐called farm blockage effect. To better predict these effects with low computational costs, we develop data‐driven emulators of the ‘local’ or ‘internal’ turbine thrust coefficient
as a function of turbine layout. We train the model using a multi‐fidelity Gaussian process (GP) regression with a combination of low (engineering wake model) and high‐fidelity (large eddy simulations) simulations of farms with different layouts and wind directions. A large set of low‐fidelity data speeds up the learning process and the high‐fidelity data ensures a high accuracy. The trained multi‐fidelity GP model is shown to give more accurate predictions of
compared to a standard (single‐fidelity) GP regression applied only to a limited set of high‐fidelity data. We also use the multi‐fidelity GP model of
with the two‐scale momentum theory (Nishino & Dunstan 2020, J. Fluid Mech. 894, A2) to demonstrate that the model can be used to give fast and accurate predictions of large wind farm performance under various mesoscale atmospheric conditions. This new approach could be beneficial for improving annual energy production (AEP) calculations and farm optimization in the future.
Assembly and pseudocapacitive electrode materials application of octamolybdates based coordination polymers
Authors: Liu Guodong , Cai Yunheng , Ma Zhihan , Pang Qiyang , Sha Jingquan 
Published: July 2023

AbstractA new octamolybdates based Cu‐organic polymer, [Cu2(mbix)2]2[Mo8O26] (mbix=1,3‐bis(imidazol‐1‐ylmethyl) benzene), abbreviated as Cu‐Mo8, was hydrothermally synthesized and characterized by routine method. Single‐crystal X‐ray diffraction analysis shows that {Mo8} as template and linker induce and promote the formation and connection of quadcore planetary loop (Cu4mbix4) to form the 2D planetary plane, then are stacked by van der Waals forces to stabilize the whole structure. Electrochemical results show that compound Cu‐Mo8 as electrode materials for supercapacitors exhibits the better supercapacitor performance of ca. 592.2 F g−1 at 1 A g−1, along with great cycling stability, which enriches POMs chemistry in the supercapacitor field.
A Flexible Family of Compactly Supported Covariance Functions Based on Cutoff Polynomials
Authors: Schubert Till , Schuh Wolf-Dieter 
Published: July 2023

AbstractIn time series analysis, signal covariance modeling is an essential part of stochastic methods like prediction or filtering. In geodetic applications, covariance functions are rarely treated as true compactly supported functions although large amounts of data would approve such. Covariance models for complex correlation shapes are also rare. Ideally, general families of covariance functions with a large flexibility are desirable to model complex correlations structures like negative correlations. In this paper, we derive isotropic finite covariance functions that are parametrized in a way that positive definiteness is guaranteed. These are based on cutoff polynomials which are derived from operations such as autoconvolution and autocorrelation. Next to the compact support, the resulting autocovariance models share the advantages of (a) positive definiteness by design, (b) extensibility to arbitrary orders and (c) extensive flexibility by employing multiple tunable shape parameters. All these realize various correlation shapes such as negative correlations (the so-called hole effect) and several oscillations. The methodological concepts are derived for homogeneous and isotropic random fields in
$$\mathbb{R}^d$$

R

d

. The family of covariance functions is then derived for one-dimensional applications. A data example demonstrates the covariance modeling approach using stationary time-series data.
Fine-Grained Long-Term Analysis of Resurgent Urban Morphotypes
Authors: Paulouro João , Beirão José Nuno 
Published: July 2023

AbstractWe present the methodology employed for the study of an architectural type within the Lisbon Metropolitan Area spanning over eight hundred years with two chief epochs of exponential growth and commonly referred today as the gated community. Covering the use of remote sensing, georeferencing, data scraping, contemporary census, early modern period population counts, spatial disaggregation, spatial analytics, network analysis and new network-based socio-urban measures, the methodology offers a single semi-automated design for the reproducible urban analysis of a metropolitan area, culminating with the production of eight urban models covering periods from the late XVI to the early XXI centuries. Evaluation carried out on the models through statistical analysis and probabilistic unsupervised learning methods shows the resurgence of morphological and socio-urban patterns separated in time by centuries of urban development.
Lebenszufriedenheit und subjektives Wohlbefinden in der Hochaltrigkeit
Authors: Kaspar Roman , Ernst Annika C. , Zank Susanne 
Published: July 2023

ZusammenfassungZwischen November 2020 und Dezember 2021 wurde im Rahmen der bundesweiten Studie „Hohes Alter in Deutschland“ eine schriftliche und telefonische Befragung von mehr als 10.000 Personen ab 80 Jahren zu deren Lebenssituation und Lebensqualität durchgeführt. Dieser abschließende zehnte Kurzbericht aus der deutschlandweiten Repräsentativbefragung stellt die allgemeine Lebenszufriedenheit und das subjektive Wohlbefinden hochaltriger Menschen in Deutschland dar.
Soziale Eingebundenheit
Authors: Wenner Judith , Albrecht Andrea , Schäfer Nicole , Wagner Michael 
Published: July 2023

ZusammenfassungZwischen November 2020 und April 2021 wurde im Rahmen der bundesweiten Studie „Hohes Alter in Deutschland“ eine schriftliche Befragung von mehr als 10.000 Personen ab 80 Jahren zu deren Lebenssituation und Lebensqualität durchgeführt. Das vorliegende Kapitel beschreibt die soziale Einbindung der Hochaltrigen. Hierbei werden besonders betrachtet: die Größe des sozialen Netzwerks, die Lebens- bzw. Wohnform, die sozialen Kontakte mit Verwandten, Freund:innen und Bekannten sowie der Erhalt sozialer Unterstützung.
Building with DNA: From Curiosity-Driven Research to Practice
Authors: Zhang Fei 
Published: July 2023

AbstractThe origins of DNA nanotechnology can be traced back to 1982, when Dr. Ned Seeman proposed assembling branched junctions as 3D lattices to facilitate protein crystallization. Over the past four decades, this concept has evolved into a multidisciplinary research field with vast potential for applications. In this mini review, we present a brief introduction of selected topics in nucleic acid nanotechnology, focusing on scaling up DNA assembly, achieving higher resolutions, and transferring to RNA structural design. We discusses the advantages and challenges of each topic, aiming to shed light on the enormous potential of nucleic acid nanotechnology.
Ok: A Kinetic Model for Locally Reconfigurable Molecular Systems
Authors: Marcus Pierre , Schabanel Nicolas , Seki Shinnosuke 
Published: July 2023

AbstractOritatami is a formal model of RNA co-transcriptional folding, in which an RNA sequence (transcript) folds upon itself while being synthesized (transcribed) out of its DNA template. This model is simple enough for further extension and also strong enough to study computational aspects of this phenomenon. Some of the structural motifs designed for Turing universal computations in oritatami have been demonstrated approximately in-vitro recently. This model has yet to take a significant aspect of co-transcriptional folding into full account, that is, reconfiguration of molecules. Here we propose a kinetic extension of this model called the oritatami kinetic (Ok) model, similar to what kinetic tile assembly model (kTAM) is to abstract tile assembly model (aTAM). In this extension, local rerouting of the transcript inside a randomly chosen area of parameterized radius competes with the transcription and the folding of the nascent beads (beads are abstract monomers which are the transcription units in oritatami). We compare this extension to a simulation of oritatami in the nubot model, another reconfiguration-based molecular folding model. We show that this new extension matches better a reconfiguration model and is also faster to simulate than passing through a nubot simulation.
Implementing a Theoretician’s Toolkit for Self-Assembly with DNA Components
Authors: Patitz Matthew J. 
Published: July 2023

AbstractA diverse array of theoretical models of DNA-based self-assembling systems have been proposed and studied. Beyond providing simplified abstractions in which to develop designs for molecular implementation, these models provide platforms to explore powers and limitations of self-assembling systems “in the limit” and to compare the relative strengths and weaknesses of systems and components of varying capabilities and constraints. As these models often intentionally overlook many types of errors encountered in physical implementations, the constructions can provide a road map for the possibilities of systems in which errors are controlled with ever greater precision. In this article, we discuss several such models, current work toward physical implementations, and potential future work that could help lead engineered systems further down the road to the full potential of self-assembling systems based on DNA nanotechnology.
Scaling Up DNA Computing with Array-Based Synthesis and High-Throughput Sequencing
Authors: Chen Yuan-Jyue , Seelig Georg 
Published: July 2023

AbstractIt was 40 years ago today, when Ned taught DNA to play [32]. When Ned Seeman began laying the theoretical foundations of what is now DNA nanotechnology, he likely did not imagine the entire diversity and scale of molecular structures, machines, and computing devices that would be enabled by his work. While there are many reasons for the success of the field, not least the creativity shown by Ned and the community he helped build, such progress would not have been possible without breakthroughs in DNA synthesis and molecular analysis technology. Here, we argue that the technologies that will enable the next generation of DNA nanotechnology have already arrived but that we have not yet fully taken advantage of them. Specifically, we believe that it will become possible, in the near future, to dramatically scale up DNA nanotechnology through the use of array-synthesized DNA and high-throughput DNA sequencing. In this article, we provide an example of how DNA logic gates and circuits can be produced through enzymatic processing of array-synthesized DNA and can be read out by sequencing in a massively parallel format. We experimentally demonstrate processing and readout of 380 molecular gates in a single reaction. We further speculate that in the longer term, very large-scale DNA computing will find applications in the context of molecular diagnostics and, in particular, DNA data storage.
DNA Nanotechnology Out of Equilibrium
Authors: Simmel Friedrich C. 
Published: July 2023

AbstractDynamic DNA nanotechnology aims at the realization of molecular machines, devices, and dynamic chemical systems using DNA molecules. DNA is used to assemble the components of these systems, define the interactions between the components, and in many cases also as a chemical fuel that drives them using hybridization energy. Except for biosensing, applications of dynamic DNA devices have so far been limited to proof-of-concept demonstrations, partly because the systems are operating rather slowly, and because it is difficult to operate them continuously for extended periods of time. It is argued that one of the major challenges for the future development of dynamic DNA systems is the identification of driving mechanisms that will allow faster and continuous operation far from chemical equilibrium. Such mechanisms will be required to realize active molecular machinery that can perform useful tasks in nanotechnology and molecular robotics.
Organizing Charge Flow with DNA
Authors: Walker David J. F. , Szmuc Eric R. , Ellington Andrew D. 
Published: July 2023

AbstractThe seminal recognition by Ned Seeman that DNA could be programmed via base-pairing to form higher order structures is well known. What may have been partially forgotten is one of Dr. Seeman’s strong motivations for forming precise and programmable nanostructures was to create nanoelectronic devices. This motivation is particularly apt given that modern electronic devices require precision positioning of conductive elements to modulate and control electronic properties, and that such positioning is inherently limited by the scaling of photoresist technologies: DNA may literally be one of the few ways to make devices smaller (Liddle and Gallatin in Nanoscale 3:2679–2688 [1]). As with many other insights regarding DNA at the nanoscale, Ned Seeman recognized the possibilities of DNA-templated electronic devices as early as 1987 (Robinson and Seeman in Protein Eng. 1:295–300 [2]). As of 2002, Braun’s group attempted to develop methods for lithography that involved metalating DNA (Keren et al. in Science 297:72–75 [3]). However, this instance involved linear, double-stranded DNA, in which portions were separated using RecA, and thus, the overall complexity of the lithography was limited. Since then, the extraordinary control afforded by DNA nanotechnology has provided equally interesting opportunities for creating complex electronic circuitry, either via turning DNA into an electronic device itself (Gates et al. in Crit. Rev. Anal. Chem. 44:354–370 [4]), or by having DNA organize other materials (Hu and Niemeyer in Adv. Mat. 31(26), [5]) that can be electronic devices (Dai et al. in Nano Lett. 20:5604–5615 [6]).
Revisiting leading quantum corrections to near extremal black hole thermodynamics
Authors: Banerjee Nabamita , Saha Muktajyoti 
Published: July 2023

Abstract
Computing the 4D Euclidean path integral to one-loop order we find the large quantum corrections that govern the behavior of a spherically symmetric non-supersymmetric near-extremal black hole at very low temperature. These corrections appear from the near-horizon geometry of the near-extremal black hole. Using first-order perturbation theory we find that such corrections arise from the zero modes of the extremal background. In the logarithm of the partition function, these correspond to terms involving logarithm of temperature. Part of our result matches with the existing one in literature derived from an effective Schwarzian theory.
Connectomes and properties of quantum entanglement
Authors: Melnikov Dmitry 
Published: July 2023

Abstract
Topological quantum field theories (TQFT) encode properties of quantum states in the topological features of abstract manifolds. One can use the topological avatars of quantum states to develop intuition about different concepts and phenomena of quantum mechanics. In this paper we focus on the class of simplest topologies provided by a specific TQFT and investigate what the corresponding states teach us about entanglement. These “planar connectome” states are defined by graphs of simplest topology for a given adjacency matrix. In the case of bipartite systems the connectomes classify different types of entanglement matching the classification of stochastic local operations and classical communication (SLOCC). The topological realization makes explicit the nature of entanglement as a resource and makes apparent a number of its properties, including monogamy and characteristic inequalities for the entanglement entropy. It also provides tools and hints to engineer new measures of entanglement and other applications. Here the approach is used to construct purely topological versions of the dense coding and quantum teleportation protocols, giving diagrammatic interpretation of the role of entanglement in quantum computation and communication. Finally, the topological concepts of entanglement and quantum teleportation are employed in a simple model of information retrieval from a causally disconnected region, similar to the interior of an evaporating black hole.
Open string field theory with stubs
Authors: Schnabl Martin , Stettinger Georg 
Published: July 2023

Abstract
There are various reasons why adding stubs to the vertices of open string field theory (OSFT) is interesting: the stubs can not only tame certain singularities and make the theory more well-behaved, but also the new theory shares a lot of similarities with closed string field theory, which helps to improve our understanding of its structure and possible solutions. In this paper we explore two natural ways of implementing stubs into the framework of OSFT, resulting in an A∞-algebra giving rise to infinitely many vertices. We find two distinct consistent actions, both generated by a field redefinition, interestingly sharing the same equations of motion. In the last section we illustrate their relationship and physical meaning by applying our construction to nearly marginal solutions.
On Weak Generalized Stability of Random Variables via Functional Equations
Authors: Jarczyk Witold , Járai Antal , Matkowski Janusz , Misiewicz Jolanta 
Published: July 2023

AbstractIn this paper we characterize random variables which are stable but not strictly stable in the sense of generalized convolution. We generalize the results obtained in Jarczyk and Misiewicz (J Theoret Probab 22:482-505, 2009), Misiewicz and Mazurkiewicz (J Theoret Probab 18:837-852, 2005), Oleszkiewicz (in Milman VD and Schechtman Lecture Notes in Math. 1807, Geometric Aspects of Functional Analysis (2003), Israel Seminar 2001–2002, Springer-Verlag, Berlin). The main problem was to find the solution of the following functional equation for symmetric generalized characteristic functions $$\varphi , \psi $$

φ
,
ψ

: $$\begin{aligned}{} & {} \forall \, a,b \ge 0 \; \exists \, c(a,b) \ge 0 \; \exists \, d(a,b) \ge 0\, \forall \, t \ge 0 \\{} & {} \quad \varphi (at) \varphi (bt) = \varphi (c(a,b)t) \psi (d(a,b)t),\quad \quad \quad \quad \quad \quad \text {(A)} \end{aligned}$$

∀

a
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0

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,
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(A)

where both functions c and d are continuous, symmetric, homogeneous but unknown. We give the solution of equation (A) assuming that for fixed $$\psi , c, d$$

ψ
,
c
,
d

there exist at least two different solutions of (A). To solve (A) we also determine the functions that satisfy the equation $$\begin{aligned}{} & {} \bigl (f(t(x+y)) - f(tx)\bigr ) \bigl (f(x+y) - f(y)\bigr ) \\{} & {} \quad = \bigl (f(t(x+y)) - f(ty)\bigr ) \bigl (f(x+y) - f(x)\bigr ),\quad \quad \quad \quad \quad \quad \text {(B)} \end{aligned}$$

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(B)

$$x,y,t >0$$

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,
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,
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>
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, for a function $$f: (0,\infty ) \rightarrow {\mathbb {R}}$$

f
:
(
0
,
∞
)
→
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. As an additional result we infer that each Lebesgue measurable or Baire measurable function f satisfying equation (B) is infinitely differentiable.
Morbiditäts- und Mortalitätskonferenz
Authors: Vonzun Ladina , Haslinger Christian 
Published: July 2023

ZusammenfassungDie Morbiditäts- und Mortalitätskonferenz (MuM-Konferenz) definiert sich als regelmäßige interdisziplinäre Fallkonferenz von vermeidbaren und/oder unerwünschten Ereignissen. Ziel ist die Sicherstellung eines zeitnahen und kontinuierlichen Verbesserungsprozesses von Behandlungsqualität und Patientensicherheit sowie der Stärkung der Zusammenarbeit und Sicherheitskultur. Dieser Beitrag bietet praktische Tipps und Tricks für die Vorbereitung, Durchführung und Nachbereitung einer MuM-Konferenz anhand unserer Erfahrungen in der Klinik für Geburtshilfe des UniversitätsSpitals Zürich. Die MuM-Konferenz reiht sich in eine Reihe von Maßnahmen ein, welche maßgebend zur Verbesserung von Zusammenarbeit, Behandlungsqualität, Patientensicherheit und Sicherheitskultur sowie der Erweiterung relevanter Wissens- und Handlungskompetenzen beitragen.
Polypyrrole/carbon dot nanocomposite as an electrochemical biosensor for liquid biopsy analysis of tryptophan in the human serum of normal and breast cancer women
Authors: Abdel-aal Fatma A. M. , Kamel Rania M. , Abdeltawab Asmaa A. , Mohamed Fardous A. , Mohamed Abdel-Maaboud I. 
Published: July 2023

AbstractLiquid biopsy analysis represents a suitable alternative analysis procedure in several cases where no tumor tissue is available or in poor patient conditions. Amino acids can play a crucial role in aiding cancer diagnosis. Monitoring of tryptophan (Trp) catabolism can aid in tracking cancer progression. Therefore, a novel nanocomposite was fabricated using overoxidized polypyrrole film doped with nano-carbon dots (nano-CDs) on the pencil graphite electrode (PGE) surface for sensitive evaluation of Trp in human serum. Using square wave voltammetry (SWV), the overoxidized polypyrrole/carbon dots/pencil graphite electrode (Ov-Ox PPy/CDs/PGE) achieved excellent electrochemical catalytic activity for evaluating Trp. The modified electrode, known as Ov-Ox PPy/CDs/PGE, demonstrated superior electrochemical catalytic activity compared to bare PGE, CDs/PGE, PPy/PGE, and PPy/CDs/PGE for evaluation of Trp. The method’s excellent sensitivity was confirmed by the low limits of detection (LOD = 0.003 μmol L−1) and limit of quantitation (LOQ = 0.009 μmol L−1). The biosensor that was developed can measure tryptophan (Trp) levels in the serum of both healthy individuals and female breast cancer patients with high accuracy and sensitivity. The results indicate that there is a significant difference, as shown by theF-test, between healthy individuals and those with breast cancer. This suggests that Trp amino acid could be an essential biomarker for cancer diagnosis. Consequently, liquid biopsy analysis presents a valuable opportunity for early disease detection, particularly for cancer.Graphical abstract
Collagen Type IV Alpha 5 Chain in Bronchiolitis Obliterans Syndrome After Lung Transplant: The First Evidence
Authors: Armati M. , Cattelan S. , Guerrieri M. , Messina M. , Perea B. , Genovese M. , d’Alessandro M. , Gangi S. , Cameli P. , Perillo F. , Bennett D. , Fossi A. ,   Tuscany Transplant Group, Bargagli E. , Bergantini L. 
Published: July 2023

Abstract
Introduction
Bronchiolitis obliterans syndrome (BOS) is the most common form of CLAD and is characterized by airflow limitation and an obstructive spirometry pattern without parenchymal opacities. The protein signature of BOS lesions concerns extracellular matrix organization and aberrant basement membrane composition. In this pilot study, we investigated the presence of COL4A5 in the serum of patients with BOS.

Methods
41 patients who had undergone LTX were enrolled. Of these, 27 developed BOS and 14 (control group) were considered stable at the time of serum sampling. Of BOS patients, serum samples were analysed at the time of BOS diagnosis and before the clinical diagnosis (pre-BOS). COL4A5 levels were detected through the ELISA kit.

Results
Serum concentrations of COL4A5 were higher in pre-BOS than in stable patients (40.5 ± 13.9 and 24.8 ± 11.4, respectively, p = 0.048). This protein is not influenced by comorbidities, such as acute rejection or infections, or by therapies. Survival analysis also reveals that a higher level of COL4A5 was also associated with less probability of survival. Our data showed a correlation between concentrations of COL4A5 and FEV1 at the time of diagnosis of BOS.

Conclusion
Serum concentrations of COL4A5 can be considered a good prognostic marker due to their association with survival and correlation with functional parameters.