bluuebunny/crossref_metadata_2025_split huggingface dataset:
Präoperative Physiotherapie vor viszeralen abdominalen Operationen digital umsetzen? – Eine qualitative Machbarkeitsstudie
Authors: Grafe Marion , Stenzel Romina , Egbringhoff Kathrin , Pascher Andreas 
Published: July 2022

ZusammenfassungHintergrund Große Operationen am Bauchraum stellen die größte Gruppe der Operationen in Deutschland dar. Besonders Patient*innen mit Komorbiditäten zeigen ein hohes Risiko für die Entwicklung postoperativer respiratorischer Komplikationen und damit einhergehend postoperativer Einbußen der körperlichen Funktionsfähigkeit. Obwohl präoperative Physiotherapie positiven Einfluss auf die Komplikationsrate nehmen kann, wird sie in Deutschland nicht regelhaft umgesetzt.Ziel Untersuchung der Machbarkeit einer digitalen Umsetzung präoperativer Physiotherapie aus der Perspektive von Ärzt*innen, Physiotherapierenden und Patient*innen. Dazu werden Bedarfe an eine digitale Intervention sowie inhaltliche und technische Anforderungen erfragt.Methode In einer qualitativen Studie wurden 2 Ärzt*innen, 5 Physiotherapierende und 2 Patienten interviewt. Die Daten wurden transkribiert und mittels qualitativer Inhaltsanalyse nach Schreier 35 ausgewertet.Ergebnisse Die Ergebnisse bestätigten die hohe Relevanz der präoperativen Versorgung. Digitale Interventionen können die in diesem Zusammenhang existierende Versorgungslücke schließen. Die formulierten Anforderungen an eine Individualisierung und einen motivierenden Charakter können insbesondere durch Apps realisiert werden.Diskussion Die zu entwickelnde App soll darauf abzielen 1.) eine Verhaltensänderung anzubahnen, 2.) Wissen zu vermitteln und 3.) Übungen anzuleiten. Vor dem Hintergrund der Zielsetzungen und dem Kontext, in dem die App Anwendung finden soll, ist von einer hohen Komplexität bei der Entwicklung und besonders der Implementierung auszugehen. Gleichzeitig ermöglicht die vorgelegte Analyse eine direkte Bearbeitung der identifizierten Herausforderungen.Schlussfolgerung Die Entwicklung einer App als Teil der präoperativen Vorbereitung hat das Potenzial, eine aktuelle Versorgungslücke zu schließen und die möglichen negativen Folgen einer Operation zu adressieren. Die vorgelegte Studie gibt Hinweise für die nächsten Entwicklungsschritte.
Ungewöhnliche Waschfrauenhände – aquagenes Akrokeratoderm bei CFTR-Mutation
Authors: Appelt Linda , Proske Ulrike , Beissert Stefan 
Published: July 2022

ZusammenfassungDas aquagene Akrokeratoderm manifestiert sich klinisch in Form von weißlichen, transluzenten Papeln und Plaques an den Hand- und seltener Fußflächen, welche wenige Minuten nach Wasserkontakt auftreten und mit Brennen, Juckreiz oder Schmerzen einhergehen können.Das Krankheitsbild kann idiopathisch oder auch im Rahmen einer zystischen Fibrose auftreten. Eine Assoziation mit Hyperhidrose wird ebenfalls beschrieben.Wir berichten über eine junge Patientin mit neu aufgetretenem aquagenem Akrokeratoderm der Handflächen, bei der wir im Verlauf eine CFTR-Mutation nachweisen konnten.
Therapie mit Upadacitinib bei schwerem atopischen Ekzem bei Komorbidität einer ankylosierenden Spondylitis und reaktiven Uveitis
Authors: Künzel Stephan R. , Günther Claudia , Bauer Andrea , Spornraft-Ragaller Petra , Abraham Susanne 
Published: July 2022

ZusammenfassungDie atopische Dermatitis (AD) stellt mit einer Lebenszeitprävalenz von bis zu 20% die
häufigste chronisch-entzündliche Hauterkrankung des Menschen dar. Die Leitsymptome sind
quälender Pruritus und wiederkehrende ekzematöse Hautläsionen. Eine moderne therapeutische
Option stellt die Modulation des JAK-STAT-Signalweges mit oralen JAK-Inhibitoren (JAKIs) dar.
Wir berichten über einen 62-jährigen kaukasischen Patienten mit schwerer AD bei Komorbidität
einer ankylosierenden Spondylitis und rezidivierenden Uveitiden, der sich nach Einleitung
einer oralen Therapie mit Upadacitinib in anhaltender Remission sowohl der AD als auch der
Komorbidität befindet.
Discrimination of Zicao Samples Based on DNA Barcoding and HPTLC Fingerprints, and Identification of (22E)-Ergosta-4,6,8(14),22-tetraen-3-one As a Marker Compound
Authors: Kretschmer Nadine , Durchschein Christin , Heubl Guenther , Pferschy-Wenzig Eva-Maria , Kunert Olaf , Bauer Rudolf 
Published: July 2022

AbstractThe unambiguous identification of plant material is a prerequisite of rational phytotherapy. Misidentification can even cause serious health problems, as in the case of the Chinese
medicinal herb Zicao. Commercial material labelled “Zicao” may be derived from the roots of Arnebia euchroma (ruan zicao), Lithospermum erythrorhizon (ying zicao), or Onosma
paniculata (dian zicao). All of these roots contain shikonin derivatives as main bioactive constituents, but ying zicao and dian zicao contain also hepatotoxic pyrrolizidine alkaloids in
high amounts. Therefore, the use of A. euchroma with a very low pyrrolizidine alkaloid content is desirable. Confusions of the species occur quite often, indicating an urgent need for
an unambiguous identification method. Discrimination of 23 zicao samples has been achieved by analyses of the nuclear internal transcribed spacer ITS2 and trnL-F intergenic spacer of
the chloroplast DNA. Data were analyzed using Bioedit, ClustalX, Mega 11 and BLAST. Results indicate that ITS2 barcoding can accurately distinguish Arnebia euchroma from their
adulterants. Subsequently, an HPTLC method has been developed allowing a chemical discrimination of the most widely used species. (22E)-Ergosta-4,6,8(14),22-tetraen-3-one has been identified
as characteristic marker compound, allowing an unambiguous discrimination of A. euchroma and L. erythrorhizon.
Restoration of atypical protein kinase C ζ function in autosomal dominant polycystic kidney disease ameliorates disease progression
Authors: Akbari Masaw , West Jonathan D. , Doerr Nicholas , Kipp Kevin R. , Marhamati Neda , Vuong Sabrina , Wang Yidi , Rinschen Markus M. , Talbot Jeffrey J. , Wessely Oliver , Weimbs Thomas 
Published: July 2022

Autosomal dominant polycystic kidney disease (ADPKD) affects more than 500,000 individuals in the United States alone. In most cases, ADPKD is caused by a loss-of-function mutation in thePKD1gene, which encodes polycystin-1 (PC1). Previous studies reported that PC1 interacts with atypical protein kinase C (aPKC). Here we show that PC1 binds to the ζ isoform of aPKC (PKCζ) and identify two PKCζ phosphorylation sites on PC1’s C-terminal tail. PKCζ expression is down-regulated in patients with ADPKD and orthologous and nonorthologous PKD mouse models. We find that the US Food and Drug Administration–approved drug FTY720 restores PKCζ expression in in vitro and in vivo models of polycystic kidney disease (PKD) and this correlates with ameliorated disease progression in multiple PKD mouse models. Importantly, we show that FTY720 treatment is less effective in PKCζ null versions of these PKD mouse models, elucidating a PKCζ-specific mechanism of action that includes inhibiting STAT3 activity and cyst-lining cell proliferation. Taken together, our results reveal that PKCζ down-regulation is a hallmark of PKD and that its stabilization by FTY720 may represent a therapeutic approach to the treat the disease.
Assessing the Publication Output in the Field of Forensic Science and Legal Medicine using Web of Science Database from 2011 to 2020
Authors: Öner Bedirhan Sezer , Orbay Metin 
Published: July 2022

AbstractThe aim of this study was threefold. First, it analyzed the characteristics of the publication outputs for the Legal Medicine (LM) category using the Web of Science (WoS) database during 2011–2020. Second, it discussed the distribution of the papers for the 25 most productive countries/regions in terms of quality and quantity, such as the h-index and GDP per capita. Finally, it investigated the trend and temporal stability of the journal impact factor (JIF) and determined the percentage of the journal self-citations. The findings suggested that the number of papers, the average number of pages of the papers, the average number of cited references in the papers, the average number of authors per paper, the percentage of open access papers, as well as international and domestic collaboration tended to increase regularly. However, the productivity was limited when compared to the whole WoS database, since there was no significant change in the number of the journals. The countries/regions with the highest number of publications were not those that made the most impact in terms of the widespread impact of the publications. The level of international cooperation and the funding for the research had dramatic impact on the visibility of papers. The average JIF has increased significantly while the journal self-citation rates have decreased in a similar way. The journals have had very stable (have not fluctuated) impact factors over time. During the period studied, the journals with the higher impact factors (Q1, Q2) published many more papers than journals with the lower impact factors (Q3, Q4).
Few shot cross equipment fault diagnosis method based on parameter optimization and feature mertic
Authors: Tao Hongfeng , Cheng Long , Qiu Jier , Stojanovic Vladimir 
Published: July 2022

Abstract
With the rapid development of industrial informatization and deep learning technology, modern data-driven fault diagnosis (MIFD) methods based on deep learning have been receiving attention from the industry. However, most of these methods require sufficient training samples to achieve the desired diagnostic effect, and the scarcity of fault samples in the actual industrial environment leads to the limitation of the development of MIFD methods. In addition, data-driven fault diagnosis methods often need to face cross-load or even cross-domain problems across different devices due to changes in equipment operating conditions and production requirements. In this paper, we design a parameter optimization and feature metric-based fault diagnosis method with few samples, called model unknown matching network model, for the problem of sparse fault samples and cross-domain between data sets in real industrial environments. The method combines both a parametric optimization-based meta-learning network, which extracts optimization information to adapt between different domains, and a metric-based metric learning network, which extracts metric information for similarity discriminations. The experimental results show that the method outperforms the current baseline method for the five-shot fault diagnosis problem of bearings under limited data conditions and achieves an accuracy of up to 94.4

%

in cross-device diagnosis experiments from bearings to gas regulators, indicating the feasibility of the method. The features are visualized by T-SNE to show the validity of the model.
On the relativistic conveyor belt
Authors: Güémez J , González-Lavín J 
Published: July 2022

Abstract
A relativistic four-vector fundamental equation formalism is used to analyse processes that are carried out on a conveyor belt, in reference frames S (with the conveyor belt at rest, ground) and

S

¯

(moving conveyor belt frame); these processes involve thermal effects. Examples solved are: a block thrown with initial speed on an inclined plane conveyor belt, and a ring launched with initial linear velocity on a moving belt. For each process, a four-vector fundamental equation is obtained, first in frame S, and then it is transformed by the Lorentz transformation to the process’ four-vector fundamental equation in

S

¯

. It is shown that Newton’s second law and the first law of thermodynamics are no-independent equations. In this description, Newton’s second law in frame

S

¯

, in which forces are non simultaneously applied, includes terms related to linear momentum for heat (relativistic Doppler effect). The first law of thermodynamics in

S

¯

includes the motor’s performed work to keep the belt moving at a constant speed (conveyor belt effect). Classical descriptions of processes are obtained by taking the relativistic equations’ low-speed limit, keeping the conveyor belt effect.
Joule heating in the mid-latitude ionosphere by high power HF radio waves
Authors: Birba M , Prokopiou I , Veldes G P 
Published: July 2022

Abstract
We present an estimation of the heating rate due to Joule heating in the F region of the ionosphere as a result of its interaction with high-power HF O-mode radio waves transmitted by a ground-based antenna. We refer to experiments conducted at Platteville, Colorado in the 70’s, i.e., at a mid-latitude ionosphere, as the ionospheric conditions and experimental facility parameters are well known. Analytical expressions for the electric field of the HF wave, ionospheric electric conductivity and heating rate are inserted into the calculations. The subsequent spatial and temporal changes in electron and ion temperatures were estimated. The results show that the electron temperatures demonstrate an increase of 115% above their unperturbed values and the ion temperatures demonstrate a corresponding increase of 13%.
New constraints on axion-gauge field dynamics during inflation from Planck and BICEP/Keck data sets
Authors: Campeti Paolo , Özsoy Ogan , Obata Ippei , Shiraishi Maresuke 
Published: July 2022

Abstract
We present new constraints on spectator axion-U(1) gauge field interactions during
inflation using the latest Planck (PR4) and BICEP/Keck 2018 data releases. This model can source
tensor perturbations from amplified gauge field fluctuations, driven by an axion rolling for a few
e-folds during inflation. The gravitational waves sourced in this way have a strongly
scale-dependent (and chiral) spectrum, with potentially visible contributions to
large/intermediate scale B-modes of the CMB. We first derive theoretical bounds on the model
imposing validity of the perturbative regime and negligible backreaction of the gauge field on the
background dynamics. Then, we determine bounds from current CMB observations, adopting a
frequentist profile likelihood approach. We study the behaviour of constraints for typical choices
of the model's parameters, analyzing the impact of different dataset combinations. We find that
observational bounds are competitive with theoretical ones and together they exclude a significant
portion of the model's parameter space. We argue that the parameter space still remains large and
interesting for future CMB experiments targeting large/intermediate scales B-modes.
The SAGEX review on scattering amplitudes*
Authors: Travaglini Gabriele , Brandhuber Andreas , Dorey Patrick , McLoughlin Tristan , Abreu Samuel , Bern Zvi , Bjerrum-Bohr N Emil J , Blümlein Johannes , Britto Ruth , Carrasco John Joseph M , Chicherin Dmitry , Chiodaroli Marco , Damgaard Poul H , Del Duca Vittorio , Dixon Lance J , Dorigoni Daniele , Duhr Claude , Geyer Yvonne , Green Michael B , Herrmann Enrico , Heslop Paul , Johansson Henrik , Korchemsky Gregory P , Kosower David A , Mason Lionel , Monteiro Ricardo , O’Connell Donal , Papathanasiou Georgios , Planté Ludovic , Plefka Jan , Puhm Andrea , Raclariu Ana-Maria , Roiban Radu , Schneider Carsten , Trnka Jaroslav , Vanhove Pierre , Wen Congkao , White Chris D 
Published: July 2022

Abstract
This is an introduction to, and invitation to read, a series of review articles on scattering amplitudes in gauge theory, gravity, and superstring theory. Our aim is to provide an overview of the field, from basic aspects to a selection of current (2022) research and developments.
Replication of spatial patterns with reversible and additive cellular automata
Authors: García-Morales Vladimir 
Published: July 2022

Abstract
In this article, the replication of arbitrary patterns by reversible and additive cellular automata is reported. The orbit of an 1D cellular automaton operating on p symbols that is both additive and reversible is explicitly given in terms of coefficients that appear in the theory of Gegenbauer polynomials. It is shown that if p is an odd prime, the pattern formed after (p − 1)/2 time steps from any arbitrary initial condition (spatially confined to a region of side less than p) replicates after p + (p − 1)/2 time steps in a way that resembles budding in biological systems.
Machining studies on Monel K − 500 using TiAlN coated tungsten carbide inserts under Ag nanoparticles incorporated modified pongamia pinnata oil lubrication
Authors: Emmanual L , Loganathan M , Karthikeyan T 
Published: July 2022

Abstract
Research investigations conducted in the past has shown that conventional petroleum based lubricants can be replaced with vegetable lubricants. Vegetable oil lubricants do not pollute the environment, as they are biodegradable. In this investigation, pongamia pinnata oil was used as lubricant, to during turning experiments. The physico chemical properties of modified pongamia pinnata oil were evaluated. Ag Nanoparticles were incorporated into the modified pongamia pinnata oil and it was subjected to tribological investigations. In this investigation, the effect of Ag nanoparticles in improving the lubricating aspects of the modified pongamia pinnata oil was studied. The aim of this investigation is to identify the effect of the nanoparticle incorporated bio- lubricant coolant on Monel K 500. In this study, using TiAlN coated triangular tungsten carbide inserts, Monel K 500 was subjected to turning under three conditions such as dry, minimum quantity lubrication and Ag nanoparticles incorporated vegetable oil lubrication. It was observed that the properties of the bio lubricant affected the turning output responses to such as cutting force, machining temperature, tool wear and surface roughness of the workpiece (Monel K 500). Machined surface was evaluated using scanning electron microscope, electron back scatter diffraction analysis and x-ray diffraction analysis. Turning operation conducted with 2% Ag nanoparticles incorporated modified pongamia pinnata oil lubrication was better than turning conducted under dry and lubricated conditions. Industrial wastes and toxic effluents can be minimised by switching over to bio lubricants and coolants.
A fast algorithm for spatiotemporal signals recovery using arbitrary dictionaries with application to electrocardiographic imaging
Authors: Caracciolo S F , Caiafa C F , Martínez Pería F D , Arini P D 
Published: July 2022

Abstract
This paper presents a method to solve a linear regression problem subject to group lasso and ridge penalisation when the model has a Kronecker structure. This model was developed to solve the inverse problem of electrocardiography using sparse signal representation over a redundant dictionary or frame. The optimisation algorithm was performed using the block coordinate descent and proximal gradient descent methods. The explicit computation of the underlying Kronecker structure in the regression was avoided, reducing space and temporal complexity. We developed an algorithm that supports the use of arbitrary dictionaries to obtain solutions and allows a flexible group distribution.
Improving antibody thermostability based on statistical analysis of sequence and structural consensus data
Authors: Jia Lei , Jain Mani , Sun Yaxiong 
Published: July 2022

Abstract

Background
The use of Monoclonal Antibodies (MAbs) as therapeutics has been increasing over the past 30 years due to their high specificity and strong affinity toward the target. One of the major challenges toward their use as drugs is their low thermostability, which impacts both efficacy as well as manufacturing and delivery.

Methods
To aid the design of thermally more stable mutants, consensus sequence-based method has been widely used. These methods typically have a success rate of about 50% with maximum melting temperature increment ranging from 10 to 32°C. To improve the prediction performance, we have developed a new and fast MAbs specific method by adding a 3D structural layer to the consensus sequence method. This is done by analyzing the close-by residue pairs which are conserved in &gt;800 MAbs’ 3D structures.

Results
Combining consensus sequence and structural residue pair covariance methods, we developed an in-house application for predicting human MAb thermostability to guide protein engineers to design stable molecules. Major advantage of this structural level assessment is in significantly reducing the false positives by almost half from the consensus sequence method alone. This application has shown success in designing MAb engineering panels in multiple biologics programs.

Conclusions
Our data science-based method shows impacts in Mab engineering.
Negative regulation of salicylic acid-induced stomatal closure by glutathione in Arabidopsis thaliana
Authors: Akter Fahmida , Munemasa Shintaro , Nakamura Toshiyuki , Nakamura Yoshimasa , Murata Yoshiyuki 
Published: July 2022

ABSTRACT
Salicylic acid (SA) is a ubiquitous phenolic phytohormone that induces stomatal closure. Glutathione (GSH) negatively regulates stomatal closure induced by other plant hormones such as abscisic acid (ABA) and methyl jasmonate (MeJA). However, the involvement of GSH in SA-induced stomatal closure is still unknown. We investigated the regulation of SA signaling by GSH in guard cells using an Arabidopsis thaliana mutant, cad2-1, which is deficient in the first GSH biosynthesis enzyme, γ-glutamylcysteine synthetase. Application of SA decreased stomatal apertures with decreasing intracellular GSH level in guard cells. Decreasing GSH by the cad2-1 mutation and by a GSH-decreasing chemical, 1-chloro-2,4-dinitrobenzene, enhanced the SA-induced stomatal closure. Treatment with glutathione monoethyl ester restored the GSH level in the cad2-1 guard cells and complemented the stomatal phenotype of the mutant. These results indicate that GSH negatively modulates SA-induced stomatal closure in A. thaliana.
Malate induces stomatal closure via a receptor-like kinase GHR1- and reactive oxygen species-dependent pathway in Arabidopsis thaliana
Authors: Mimata Yoshiharu , Munemasa Shintaro , Akter Fahmida , Jahan Israt , Nakamura Toshiyuki , Nakamura Yoshimasa , Murata Yoshiyuki 
Published: July 2022

ABSTRACT
A primary metabolite malate is secreted from guard cells in response to the phytohormone abscisic acid (ABA) and elevated CO2. The secreted malate subsequently facilitates stomatal closure in plants. Here, we investigated the molecular mechanism of malate-induced stomatal closure using inhibitors and ABA signaling component mutants of Arabidopsis thaliana. Malate-induced stomatal closure was impaired by a protein kinase inhibitor, K252a, and also by the disruption of a receptor-like kinase GHR1, which mediates activation of calcium ion (Ca2+) channel by reactive oxygen species (ROS) in guard cells. Malate induced ROS production in guard cells while the malate-induced stomatal closure was impaired by a peroxidase inhibitor, salicylhydroxamic acid, but not by the disruption of Nicotinamide adenine dinucleotide (phosphate) (NAD(P)H) oxidases, RBOHD and RBOHF. The malate-induced stomatal closure was impaired by Ca2+ channel blockers, verapamil, and niflumic acid. These results demonstrate that the malate signaling is mediated by GHR1 and ROS in Arabidopsis guard cells.