bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modified Olfactory Training Is an Effective Treatment Method for COVID‐19 Induced Parosmia
Authors: Altundag Aytug , Yilmaz Eren , Kesimli Mustafa Caner 
Published: March 2022

ObjectivesCoronavirus disease (COVID‐19) infection often causes olfactory dysfunction and parosmia may occur in some patients with olfactory dysfunction. In this study, we retrospectively investigated the effectiveness of modified olfactory training (MOT) for the treatment of COVID‐19‐induced parosmia.Study DesignThis study presents results of MOT performed with 12 odors for 36 weeks in patients with olfactory dysfunction following COVID‐19 infection. A total of 75 participants were included in the study (mean age 33 years, range 16–60 years).MethodsThe patients were separated into two groups: 1) Treatment group consisted of parosmia patients who received MOT with three sets of four different odors sequentially. 2) Control group consisted of parosmia patients who did not perform any olfactory training. Both groups were matched for age and sex distribution of participants. TDI scores were compared at the time of application and at the end of the 9th month by the Sniffin' Sticks Test. The results of the 0th and 9th months were recorded by applying the parosmia assessment scale to both groups. The results were analyzed statistically, and p < 0.05 was considered significant.ResultsWhen the treatment group and the control group were compared, a significant improvement was observed in both groups at the third, sixth, and ninth month, however the improvement in the treatment group was found to be better than in the control group (P < .001). Extending the treatment from 6 to 9 months in the treatment group was found to be effective in mitigating parosmia complaints and improving discrimination scores (P < .001).ConclusionThis study has shown that modified olfactory training is effective in the treatment of parosmia following COVID‐19 infection.Level of Evidence3 Laryngoscope, 132:1433–1438, 2022
Inexact rational Krylov subspace method for eigenvalue problems
Authors: Xu Shengjie , Xue Fei 
Published: March 2022

AbstractAn inexact rational Krylov subspace method is studied to solve large‐scale nonsymmetric eigenvalue problems. Each iteration (outer step) of the rational Krylov subspace method requires solution to a shifted linear system to enlarge the subspace, performed by an iterative linear solver for large‐scale problems. Errors are introduced at each outer step if these linear systems are solved approximately by iterative methods (inner step), and they accumulate in the rational Krylov subspace. In this article, we derive an upper bound on the errors introduced at each outer step to maintain the same convergence as exact rational Krylov subspace method for approximating an invariant subspace. Since this bound is inversely proportional to the current eigenresidual norm of the target invariant subspace, the tolerance of iterative linear solves at each outer step can be relaxed with the outer iteration progress. A restarted variant of the inexact rational Krylov subspace method is also proposed. Numerical experiments show the effectiveness of relaxing the inner tolerance to save computational cost.
Is SARS‐CoV‐2 seroconversion a risk factor for severe and acute psychiatric symptoms in children?
Authors: Ayrolles Anaël , Ellul Pierre , Trebossen Vincent , Houhou‐Fidouh Nadira , Bonacorsi Stephane , Descamps Diane , Delorme Richard 
Published: March 2022

ABSTRACTAimsSince the beginning of the COVID pandemic, studies reported an increase in children’s mental health issues and questioned the impact of SARS‐CoV‐2 on psychiatric symptoms.MethodsWe compared COVID seroconversion in children hospitalized with acute, severe psychiatric symptoms (n = 52) with the sex‐ and age‐matched control group (n = 52) living in the same low‐income geographic area and sampled during the same time period.ResultsContrary to our hypothesis, we observed less seroconverted children with psychiatric conditions 9.61% (95% CI, 3.59‐21.80) vs 34.61% (95% CI, 22.33‐49.16; χ2 = 14.7, P = 1.24E−4; OR = 0.20; 95% CI, 0.05‐0.64).ConclusionThis suggests a lower direct impact of SARS‐CoV‐2 compared with the impact of mitigation strategies on psychiatric symptom deterioration in children reported since early stages of the pandemic.
Monitoring multivariate coefficient of variation for high‐dimensional processes
Authors: Adegoke Nurudeen A. , Dawod Abdaljbbar , Adeoti Olatunde Adebayo , Sanusi Ridwan A. , Abbasi Saddam Akber 
Published: March 2022

AbstractMultivariate coefficient of variation (MCV) charts are effective tools for monitoring process relative variability. They are developed on the assumption that the process subgroup size available for monitoring the MCV parameter is larger than the number of process characteristics. In such a case, the unbiased estimates of the in‐control mean vector and covariance matrix are used to calculate the chart monitoring statistic. Here, we study the performance of MCV control charts when only a small subgroup size is available for estimating the in‐control mean vector and covariance matrix. We examine the use of a shrinkage estimate of the covariance matrix and propose two one‐sided upward and downward least absolute shrinkage and selection operator (LASSO)‐based MCV charts for detecting upward and downward shifts in the process MCV parameter, respectively. Our simulation study shows that the LASSO‐based MCV charts outperform the classical two one‐sided MCV charts when small subgroup sizes are available for monitoring. The improved performance of the proposed LASSO‐based MCV charts in monitoring shifts in the MCV parameter is demonstrated via an illustrative case study of carbon fiber tube application, where changes are detected earlier than the classical two one‐sided MCV charts.
Robotic‐assisted partial cystectomy for muscle invasive bladder cancer: Contemporary experience
Authors: Alanee Shaheen , El‐Zawahry Ahmed 
Published: March 2022

AbstractObjectiveTo report our contemporary experience with robotic‐assisted partial cystectomy (RAPC) for muscle invasive bladder cancer.MethodsThis is a retrospective review of patients who underwent robotic‐assisted partial cystectomy with us between 2013 and 2020 and provided ≥12 months of follow up.Results and limitationsThe median operative time for our 35 patients was 190 min (Interquartile range [IQR] 155–280). Four patients developed grade 3 or higher complications (ileus, pneumonia, and urethral stricture). At 12 months follow‐up, the median IPSS score was 10 (IQR 7–11), and recurrence happened in seven patients (recurrence‐free survival 80%). Five of the patients who developed recurrence died because of their disease, and two other patients died of causes unrelated to their cancer.ConclusionsWe describe our technique, functional outcomes, and short‐term follow up results in highly selected patients with muscle‐invasive bladder cancer treated with RAPC.
Scale‐free collaborative protocols for global regulated state synchronization of discrete‐time homogeneous networks of non‐introspective agents in presence of input saturation
Authors: Liu Zhenwei , Saberi Ali , Stoorvogel Anton A. 
Published: March 2022

AbstractThis article studies scalable global regulated state synchronization of discrete‐time homogeneous networks of non‐introspective agents in presence of input saturation based on localized information exchange, where the reference trajectory is given by a so‐called exosystem which is assumed to be globally reachable. A scale‐free collaborative nonlinear and linear dynamic protocols design methodology is developed for discrete‐time multi‐agent systems with both full and partial‐state couplings. The scale‐free nonlinear
dynamic protocol is developed via design based on scheduling for discrete‐time linear general dynamics. Meanwhile, the scale‐free linear observer‐based protocol design is proposed for a class of neutrally stable discrete‐time agent models. Our protocol design methodology does not need any knowledge of the directed network topology and the spectrum of the associated Laplacian matrix. Moreover, the proposed protocol is scalable and achieves synchronization for any arbitrary number of agents.
Design of Dinuclear Lanthanide Complexes from N2O2 Donor Ligand for Single Molecule Magnets: Crystalline Architecture and Slow Magnetic Relaxation Studies
Authors: Sushila  , Shivam Kumar , Venugopalan Paloth , Rani Jyoti , Tian Haiquan , Goswami Soumyabrata , Patra Ranjan 
Published: March 2022

AbstractThree new dinuclear lanthanide complexes [Ln2L2(μ2‐benzoate)2(MeOH)2] ⋅ 4MeOH (H2L=2‐Bis(2‐hydroxybenzyl)aminomethyl]pyridine); Ln=Nd (1), Tb (2), Dy (3)) have been synthesized and structurally characterized by single‐crystal X‐ray diffraction analyses. Compounds 1, 2 and 3 are isomorphous and thus the framework connectivity features are the same for all the three compounds. In the dimeric form of the complexes, each metal centre is octacoordinated with square antiprism (D4d symmetry) geometry, which is completed by a coordinated methanol molecule. In addition, the methanol that present in the structural voids also acts as linkers of paddle‐wheel like complexes. Magnetic properties of the compounds have been investigated in detail using direct‐current and alternating‐current susceptibility measurements. From the analysis of all three complexes, the decrease of susceptibility value at low temperatures is due to the depopulation of Stark sublevels and the existence of intramolecular antiferromagnetic interactions. In addition, complex 3 shows slow relaxation of magnetization behavior, a characteristic feature of single molecule magnets (SMMs). An effective energy barrier value (Ueff) of 38.87 K and relaxation time (τ0) of 1.665×10−7 s for the magnetic relaxation process was obtained for 3. Solid state luminescence spectra for complex 2 show characteristic green emission peaks at 543 nm region having potential for applications in the solid state as light emitting diodes and photoluminescent materials.
Build conflicts in the wild
Authors: Da Silva Léuson , Borba Paulo , Pires Arthur 
Published: March 2022

AbstractWhen collaborating, developers often create and change software artifacts without being fully aware of team members' work. While such independence is essential for increasing development productivity, it might also result in conflicts when integrating developers' contributions. To better understand the conflicts revealed by failures when building integrated code, we investigate their frequency and structure and adopted resolution patterns in 451 open‐source Java projects. To detect such build conflicts, we select merge scenarios from git repositories, parse their Travis build logs, and check whether the build error messages are related to the merged changes. We find and classify 239 build conflicts and their resolution patterns. Most build conflicts are caused by missing declarations removed or renamed by one developer but referenced by another developer. Conflicts caused by renaming are often resolved by updating the missing reference, whereas removed declarations are often reintroduced. Most fix commits are authored by one of the merge scenario contributors. Based on our catalogue of conflict causes, awareness tools could alert developers about the risk of conflict situations. Program repair tools could benefit from our catalogue of resolution patterns to automatically fix conflicts; we illustrate that with a proof of concept implementation of a tool that fixes conflicts.
Edge intelligence based digital twins for internet of autonomous unmanned vehicles
Authors: Yang Bin , Wu Bin , You Yuwen , Guo Chunmei , Qiao Liang , Lv Zhihan 
Published: March 2022

AbstractIt aims to explore the efficient and reliable wireless transmission and cooperative communication mechanism of Internet of Vehicles (IoV) based on edge intelligence technology. It first proposes an intelligent network architecture for IoV services by combining network slicing and deep learning (DL) technology, and then began to study the key technologies needed to achieve the architecture. It designs the cooperative control mechanism of unmanned vehicle network based on the full study of wireless resource allocation algorithm from the micro level. Second, in order to improve the safety of vehicle driving, deep reinforcement learning is used to configure the wireless resources of IoV network to meet the needs of various IoV services. The research results show that the accuracy rate of the improved AlexNet algorithm model can reach 99.64%, the accuracy rate is more than 80%, the data transmission delay is less than 0.02 ms, and the data transmission packet loss rate is less than 0.05. The algorithm model has practical application value for solving the data transmission related problems of vehicular internet communication, providing an important reference value for the intelligent development of unmanned vehicle internet.
Single Atom Catalysts: An Overview of the Coordination and Interactions with Metallic Supports
Authors: Gawish Monaf Abdalmajid , Drmosh Q. A. , Onaizi Sagheer A. 
Published: March 2022

AbstractCatalyst utilization is a key economic factor in heterogeneous catalysis, particularly, when noble metals are used as the active phase. A huge saving on catalyst cost can be achieved with developing a single atomic layer of the active catalyst on a given cheap support. Besides the economic benefit, single atom catalysts (SACs) have also shown superior activity and selectivity relative to catalytic particles or nanoparticles; yet they are prone to aggregation and deactivation. The development of effective, stable, and commercially viable SACs is still a huge challenge. One of the remaining key obstacles is the ability to easily and effectively tune SACs‐support interactions and coordination in a way that enables the production of robust, stable, and versatile SACs. Accordingly, the coordination and interactions between metallic supports and SACs and their impacts on SACs stability and activity are reviewed in this article.
Effect of cadmium on Rho GTPases signal transduction during osteoclast differentiation
Authors: He Shuangjiang , Zhang Kanglei , Cao Ying , Liu Gang , Zou Hui , Song Ruilong , Liu Zongping 
Published: March 2022

AbstractOsteoclasts are the key target cells for cadmium (Cd)‐induced bone metabolism diseases, while Rho GTPases play an important role in osteoclast differentiation and bone resorption. To identify new therapeutic targets of Cd‐induced bone diseases; we evaluated signal transduction through Rho GTPases during osteoclast differentiation under the influence of Cd. In osteoclastic precursor cells, 10 nM Cd induced pseudopodia stretching, promoted cell migration, upregulated the levels of Cdc42, and RhoQ mRNAs and downstream Rho‐associated coiled‐coil kinase 1 (ROCK1) and ROCK2 proteins, and downregulated the actin‐related protein 2/3 (ARP2/3) levels. Cd at 2 and 5 μM shortened the pseudopodia, inhibited cell migration, and decreased ROCK1, ROCK2, and ARP2/3 protein levels; Cd at 5 μM also reduced the mRNA expression levels of Rac1, Rac2, and RhoU mRNAs and decreased the level of phosphorylated (p)‐cofilin. In osteoclasts, 10 nM Cd induced the formation of sealing zones, slightly upregulated Cdc42 mRNA levels and ROCK2 and ARP2/3 protein levels and significantly reduced p‐cofilin levels. Cd at 2 μM and 5 μM Cd blocked the fusion of precursor cells; and 5 μM Cd downregulated the expression levels of RhoB, Rac1, Rac3, and RhoU mRNAs, and ROCK1, p‐cofilin and ARP2/3 protein levels, significantly. In vivo, Cd (at 5 or 25 mg/L) increased the levels of key proteins RhoA, Rac1/2/3, Cdc42, and RhoU and their mRNAs in bone marrow cells. In summary, the results suggested that Cd affected the differentiation process of osteoclast and altered the expression of several Rho GTPases, which might be crucial targets of Cd during the differentiation of osteoclasts.
Einleitung
Authors: Wilke René 
Published: March 2022

ZusammenfassungWissenschaft kommuniziert. Mit diesem Titel möchte ich Wissenschaft nicht ‚personifizieren‘: Anstatt in der dritten grammatischen Person des Singulars (er/sie/es kommuniziert), steht kommuniziert im Titel dieser Arbeit für das adjektivisch gebrauchte Partizip Perfekt. So betone ich, dass es sich bei der im Folgenden beschriebenen empirischen Fallstudie, im Ergebnis, um eine Analyse des praktischen Vollzugs von Wissenschaft im Prozess der Kommunikation handelt. Gegenstand meiner Arbeit sind Face-to-face-Kommunikationen zwischen menschlichen Akteuren, die ich für das, was ich hier unter Wissenschaft verstehe, als konstitutiv betrachte.
Vorannahmen und Grundbegriffe
Authors: Wilke René 
Published: March 2022

ZusammenfassungDie Soziologie als multiparadigmatische Wissenschaft (Kneer und Schroer 2009), ist, stärker als andere Wissenschaften, nur dann intersubjektiv nachvollziehbar, wenn Soziolog/-innen ihre Forschungsarbeit reflektieren und in ihren wissenschaftlichen Abhandlungen explizieren. Auch die detaillierte Nachvollziehbarkeit meines Forschungsansatzes erfordert, neben einführender Kenntnisse des Felds sowie des methodologischen Vorgehens bei den Analysen, die Klärung meiner theoretischen Grundbegriffe. Von besonderer Relevanz ist diese nicht zuletzt für die Erläuterung meines Kommunikationsbegriffs, der – sowohl theorie- als auch gegenstandsbezogen – auf einen verstehenden Ansatz rekurriert.
Gattungen und Gattungsanalyse
Authors: Wilke René 
Published: March 2022

ZusammenfassungDie Gattungsanalyse (GA) ist von doppelter Bedeutung für die vorliegende Fallstudie: Erstens aufgrund ihres sprach- bzw. kommunikationssoziologischen Kontexts: Vor dem Hintergrund der gesetzten Fragestellung und des empirischen Gegenstand, der explizit eine Kommunikationsform im Sinne des KoKo darstellt, bietet sich die kommunikativ-konstruktivistisch informierte GA für die Analyse des Group-Talks an. Sowohl der auf einer verstehenden Soziologie basierende Sozialkonstruktivismus als Vorläufer der GA und seine ‚empirisch aktualisierte‘ Variante, der kommunikative Konstruktivismus als ihr direkter Nachfolger, als auch die sprachtheoretischen Entwicklungen, die dem von Luckmann konzipierten Gattungsbegriff vorangegangen sind, und schließlich auch die Methodologie, die sich an die GA anschließt, Fokussierte Ethnographie und Videographie, sind von zentraler Bedeutung für meine Forschungsperspektive.
Die Gattungsanalyse des Group-Talks
Authors: Wilke René 
Published: March 2022

ZusammenfassungDas Beispiel von Kellogg, Yates und Orlikowski (2006) dient mir im Folgenden als Überleitung zum empirischen Teil meiner Arbeit. Obgleich in einem Wirtschaftsunternehmen verortet erinnert die Situation dort an die des Group-Talks: Auch in der CNS-Gruppe ist die Kommunikationsarbeit mit laufender Digitisierung und Digitalisierung der (Forschungs-)Fortschritte verbunden. Wie bei AdWeb sind auch die Teilnehmer/-innen der beobachteten CNS-Forschungsgruppe unentwegt mit der ihr präsentationales Wissen charakterisierenden Sichtbarmachung, Repräsentation und Integration ihrer Arbeit beschäftigt, sowohl gegenüber internen als auch externen Teilnehmer/-innen der Organisation.
Reducing the O(3) model as an effective field theory
Authors: Gudnason Sven Bjarke , Nitta Muneto 
Published: March 2022

Abstract
We consider the O(3) or ℂP1 nonlinear sigma model as an effective field theory in a derivative expansion, with the most general Lagrangian that obeys O(3), parity and Lorentz symmetry. We work out the complete list of possible operators (terms) in the Lagrangian and eliminate as many as possible using integrations by parts. We further show at the four-derivative level, that the theory can be shown to avoid the Ostrogradsky instability, because the dependence on the d’Alembertian operator or so-called box, can be eliminated by a field redefinition. Going to the six-derivative order in the derivative expansion, we show that this can no longer be done, unless we are willing to sacrifice Lorentz invariance. By doing so, we can eliminate all dependence on double time derivatives and hence the Ostrogradsky instability or ghost, however, we unveil a remaining dynamical instability that takes the form either as a spiral instability or a runaway instability and estimate the critical field norm, at which the instability sets off.
Dark freeze-out cogenesis
Authors: Chu Xiaoyong , Cui Yanou , Pradler Josef , Shamma Michael 
Published: March 2022

Abstract
We propose a new mechanism where a multi-component dark sector generates the observed dark matter abundance and baryon asymmetry and thus addresses the coincidence between the two. The thermal freeze-out of dark matter annihilating into meta-stable dark partners sets the dark matter relic abundance while providing the out-of-equilibrium condition for baryogenesis. The meta-stable state triggers baryon asymmetry production by its decay well after the freeze-out and potentially induces a period of early matter domination before its decay. The dark matter and baryon abundances are related through number conservation within the dark sector (cogenesis). The “coincidence” is a natural outcome with GeV- to TeV-scale symmetric dark matter and the dark sector’s interactions with the Standard Model quarks. We present a UV-complete model and explore its phenomenological predictions, including dark matter direct detection signals, LHC signatures of new massive particles with color charges and long-lived particles with displaced vertices, dark matter-induced nucleon conversions, (exotic) dark matter indirect detection signals, and effects on the cosmological matter power spectrum. As a side result, we provide a novel analytical treatment for dark sector freeze-out, which may prove useful in the study of related scenarios.
On lattice models of gapped phases with fusion category symmetries
Authors: Inamura Kansei 
Published: March 2022

Abstract
We construct topological quantum field theories (TQFTs) and commuting projector Hamiltonians for any 1+1d gapped phases with non-anomalous fusion category symmetries, i.e. finite symmetries that admit SPT phases. The construction is based on two-dimensional state sum TQFT whose input datum is an H-simple left H-comodule algebra, where H is a finite dimensional semisimple Hopf algebra. We show that the actions of fusion category symmetries $$ \mathcal{C} $$
C
on the boundary conditions of these state sum TQFTs are represented by module categories over $$ \mathcal{C} $$
C
. This agrees with the classification of gapped phases with symmetry $$ \mathcal{C} $$
C
. We also find that the commuting projector Hamiltonians for these state sum TQFTs have fusion category symmetries at the level of the lattice models and hence provide lattice realizations of gapped phases with fusion category symmetries. As an application, we discuss the edge modes of SPT phases based on these commuting projector Hamiltonians. Finally, we mention that we can extend the construction of topological field theories to the case of anomalous fusion category symmetries by replacing a semisimple Hopf algebra with a semisimple pseudo-unitary connected weak Hopf algebra.