bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of Acoustical Properties of Lead Oxide Nanoparticle in Different Solvent Mixtures at 305 K by Using Nanofluid Interferometer
Authors: Ramteke Avinash A. , Chougule Pradnya K. , Prasad Neeraj , Vyawahare Yogesh K. , Kulal Shivaji R. , Yaul Amit R. 
Published: December 2021

AbstractIn the present paper, study the acoustical properties of lead oxide nanoparticles through the measurement of ultrasonic velocity and density of lead oxide nanoparticles as a ligand in 70% dioxane + water, 70% methanol + water, and 70% ethanol + water mixtures‐based solutions has been carried out, this measurement is important for understanding the particle–particle, particle–solvent, and molecular interaction. The reported nanoparticles of lead oxide by using biological method such as using plant extract, but their acoustical properties of lead oxide nanoparticles are attracted the attentions of many researchers. Hence, the present investigation is focused on the study of acoustical parameters of lead oxide nanoparticles like adiabatic compressibility (β), acoustic impedance (Z), free length, and relative association by using the nanofluid interferometer. These measurements are carried out at frequency 2 MHz and temperature 305 K (at room temperature). The obtained results are helped to observe the behavior of ultrasonic velocity and acoustic properties at different concentrations range of ligand (i.e., lead oxide nanoparticle) such as 0.01, 0.05, 0.10, and 0.15 mol dm−3 reveal the presence of interaction between particle–particle, particle and solvent.
Structural, Morphological, and Optical Investigation of Ag‐Doped TiO2/rGO Nanocomposite Synthesized by Ex Situ Route
Authors: Kumbhar Deepak A. , Kumbhar Sarita S. , Killedar Vilas V. , Nalawade Rekha A. , Nalawade Avinash M. , Salunke Govind D. , Rangar Krishna K. 
Published: December 2021

AbstractIn the present paper, the modified properties of widely used TiO2 material by forming its Ag‐doped TiO2/rGO nanocomposite are studied. The structural investigation by X‐ray diffraction (XRD) reveals the formation of single anatase phase that do not altere even in composite with a decrement in crystallite size from 12 to 8 nm. The SEM micrographs confirm nanosheets formation of rGO while uniform grain shapes of TiO2 nanoparticles (NPs). Fourier transformed infrared spectroscopy (FTIR) remarkably deduce the specific bands to support individual characteristics. However, UV‐vis spectroscopy exposes absorption shift toward the visible side by the effect of silver doping and rGO nanocomposite formation. Similarly, the energy band gap calculation by Tauc plots reveals a reduction in band gap from 3.26 to 3.18 eV. So, these successfully tuned properties of TiO2 open the new path to utilize it in various forthcoming optoelectronic devices.
Learning‐based optimization of acquisition schedule for magnetization transfer contrast MR fingerprinting
Authors: Kang Beomgu , Kim Byungjai , Park HyunWook , Heo Hye‐Young 
Published: December 2021

AbstractMagnetization transfer contrast MR fingerprinting (MTC‐MRF) is a novel quantitative imaging method that simultaneously quantifies free bulk water and semisolid macromolecule parameters using pseudo‐randomized scan parameters. To improve acquisition efficiency and reconstruction accuracy, the optimization of MRF sequence design has been of recent interest in the MRF field, but has been challenging due to the large number of degrees of freedom to be optimized in the sequence. Herein, we propose a framework for learning‐based optimization of the acquisition schedule (LOAS), which optimizes RF saturation‐encoded MRF acquisitions with a minimal number of scan parameters for tissue parameter determination. In a supervised learning framework, scan parameters were subsequently updated to minimize a predefined loss function that can directly represent tissue quantification errors. We evaluated the performance of the proposed approach with a numerical phantom and in in vivo experiments. For validation, MRF images were synthesized using the tissue parameters estimated from a fully connected neural network framework and compared with references. Our results showed that LOAS outperformed existing indirect optimization methods with regard to quantification accuracy and acquisition efficiency. The proposed LOAS method could be a powerful optimization tool in the design of MRF pulse sequences.
Therapy‐related myeloid neoplasms resembling juvenile myelomonocytic leukemia: a case series and review of the literature
Authors: Wintering Astrid , Smith Stephen , Fuh Beng , Rangaswami Arun , Dahl Gary , Chien May , Gruber Tanja A. , Dang Jinjun , Li Loretta S. , Lenzen Alicia , Savelli Stephanie , Dvorak Christopher C. , Agrawal Anurag K. , Stieglitz Elliot 
Published: December 2021

AbstractTherapy‐related myeloid neoplasms (t‐MN) are a distinct subgroup of myeloid malignancies with a poor prognosis that include cases of therapy‐related myelodysplastic syndrome (t‐MDS), therapy‐related myeloproliferative neoplasms (t‐MPN) and therapy‐related acute myeloid leukemia (t‐AML). Here, we report a series of patients with clinical features consistent with juvenile myelomonocytic leukemia (JMML), an overlap syndrome of MDS and myeloproliferative neoplasms that developed after treatment for another malignancy.
AMMI and GGE biplot analysis of genotype by environment interaction and yield stability in early maturing cowpea [Vigna unguiculata (L) Walp] landraces in Ethiopia
Authors: Kindie Yirga , Tesso Bulti , Amsalu Berhanu 
Published: December 2021

AbstractCowpea is one of the most important grain legumes for human consumption and animal feeding. Despite this importance, its production is hampered by biotic and abiotic constraints. Genotype by environment interaction study was performed to identify the most stable cowpea genotype(s) and the desirable environment(s) for cowpea research in Ethiopia. Twenty‐four cowpea landraces and one standard check were evaluated for grain yield and yield‐related traits at six locations (Sekota, Kobo, Sirinka, Melkassa, Mieso, and Babile) using 5 × 5 triple lattice during 2019. Combined analysis of variance showed that grain yield was significantly affected by environments, genotypes, and GE interactions. AMMI analysis revealed the contribution of environment, genotype, and GEI for 29.79%, 15.6%, and 42.06% of variation on grain yield. The first two principal components explained 57.97% of the total GEI variance. AMMI model selected G24 as 1st and 2nd best genotype at five environments. The polygon view of the GGE biplot identified three mega‐environments (ME1, ME2, and ME3) with winning genotypes: G24, G3, and G16, respectively. The highest productive (2528.8 kg ha−1) environment, miesso has been identified as the most; discriminating and representative testing environment whereas the lowest productive (1676.1 kg ha−1) Sirinka was the least discriminating and representative. The highest yielder G24 (2632 kg ha−1) was identified as the “ideal” and the most stable genotype followed by G16 (2290 kg ha−1) while the least stable and low yielder was G11. Therefore, genotypes G24 and G16 were recommended for verification and commercial production in most cowpea growing areas of Ethiopia.
A novel two‐dimensional atmospheric pressure plasma jet device
Authors: Zhong Nanya , Fu Gang , Li Junjun , Lian Chen , Chen Wenqi , Huang Kama 
Published: December 2021

AbstractA novel two‐dimensional atmospheric pressure plasma jet device is proposed for large‐area processing. A finite element algorithm is adopted to obtain the optimized dimensions of the designed device based on microwave power reflection coefficient |S11| and electric field intensity. The plasma parameters of electron density and electron temperature within 0.1 ms after microwave power input were analyzed. When plasma is fully excited, is close to 3.5 × 1018 m−3, and is calculated to be 2 eV. Besides, an experimental system is established, and microwave power of 70 W can process 30 L of argon per minute, which shows a high energy efficiency. Two plasma jets with a width of 10 mm and a length of 5 mm are successfully excited. In addition, reflected power measured by the power meter is only 9.5% of incident power, which is in good agreement with simulation results.
Whatever you want, whatever you like: How incumbents respond to changes in market information regimes
Authors: Zanella Paola , Cillo Paola , Verona Gianmario 
Published: December 2021

AbstractResearch SummaryHow do incumbents respond to a market information regime change? We employ literatures on product portfolio strategies and capability adaptation to analyze the information regime change induced by the advent of streaming in the U.S. music industry. Our findings highlight that an information change impacts the strategy of organizations. We observe that the inclusion of streaming reveals increasing demand for novelty and variety. Finally, we identify breadth of experience as a driver of the type of innovation adopted. Incumbents with broader experience proliferate across‐niches. Incumbents with focused experience increase the novelty of their offerings. Overall, incumbents with higher breadth of experience perform better. We discuss the implications of these results in literatures of environmental changes, capability adaptation, product proliferation, and democratization induced by new technologies.Managerial SummaryIn several industries, rankings influence firms' decisions. Recently, many of these rankings have experienced changes to account for new demand behavior induced by digitization. We study the introduction of streaming into the Hot 100 Billboard music chart in the U.S. We find that the inclusion of streaming reveals more demand for novelty and variety. Also, we show that firms respond differently to this information change and their response depends on their experience breadth, that is the capability to address different market segments at the same time. Music labels with broader experience are capable of addressing the new demand, while those with limited experience bet on novelty as a way to defend their niche. Overall, the music labels with higher breadth of experience are the ones that perform better.
Message piece dissemination approach for opportunistic underwater sensor network invaded by underwater spy‐robots
Authors: Liu Linfeng , Zhang Houqian , Wu Jiagao , Xu Jia 
Published: December 2021

AbstractOpportunistic underwater sensor network (OUSN) is deployed for various underwater applications, such as underwater creatures tracking and tactical surveillance. Particularly, the OUSN in military applications may be invaded by some underwater spy‐robots termed eavesdroppers. The eavesdroppers could move around some OUSN nodes and eavesdrop on their communication channels silently, and these eavesdropping actions are difficult to be perceived by OUSN nodes. To reduce the theft ratio of data messages and guarantee the required delivery ratio of data messages, we conceive the idea that each data message is encoded into several message pieces, and then the message pieces are disseminated to sink node individually. Besides, a lightweight encryption method is adopted to encrypt the message pieces before the dissemination. Such mechanism can protect the data messages from being stolen by eavesdroppers effectively. In this article, we propose a message piece dissemination approach (MPDA) for the OUSN invaded by some underwater spy‐robots. In MPDA, OUSN nodes disseminate the held message pieces to some selected neighboring nodes at each time slot, and a data message is considered to be delivered when all pieces of this data message have been delivered to the sink node. Extensive simulations and comparisons demonstrate the preferable performance of MPDA, that is, MPDA can reduce the theft ratio of data messages and guarantee the required delivery ratio of data messages.
A cosmologically consistent millicharged dark matter solution to the EDGES anomaly of possible string theory origin
Authors: Aboubrahim Amin , Nath Pran , Wang Zhu-Yao 
Published: December 2021

AbstractAnalysis of EDGES data shows an absorption signal of the redshifted 21-cm line of atomic hydrogen atz∼ 17 which is stronger than expected from the standard ΛCDM model. The absorption signal interpreted as brightness temperatureT21of the 21-cm line gives an amplitude of$$ -{500}_{-500}^{+200} $$−500−500+200mK at 99% C.L. which is a 3.8σdeviation from what the standard ΛCDM cosmology gives. We present a particle physics model for the baryon cooling where a fraction of the dark matter resides in the hidden sector with a U(1) gauge symmetry and a Stueckelberg mechanism operates mixing the visible and the hidden sectors with the hidden sector consisting of dark Dirac fermions and dark photons. The Stueckelberg mass mixing mechanism automatically generates a millicharge for the hidden sector dark fermions providing a theoretical basis for using millicharged dark matter to produce the desired cooling of baryons seen by EDGES by scattering from millicharged dark matter. We compute the relic density of the millicharged dark matter by solving a set of coupled equations for the dark fermion and dark photon yields and for the temperature ratio of the hidden sector and the visible sector heat baths. For the analysis of baryon cooling, we analyze the evolution equations for the temperatures of baryons and millicharged dark matter as a function of the redshift. We exhibit regions of the parameter space which allow consistency with the EDGES data. We note that the Stueckelberg mechanism arises naturally in strings and the existence of a millicharge would point to its string origin.
Analytic multi-Baryonic solutions in the SU(N)-Skyrme model at finite density
Authors: Cacciatori Sergio L. , Canfora Fabrizio , Lagos Marcela , Muscolino Federica , Vera Aldo 
Published: December 2021

Abstract
We construct explicit analytic solutions of the SU(N)-Skyrme model (for generic N) suitable to describe different phases of nuclear pasta at finite volume in (3 + 1) dimensions. The first type are crystals of Baryonic tubes (nuclear spaghetti) while the second type are smooth Baryonic layers (nuclear lasagna). Both, the ansatz for the spaghetti and the ansatz for the lasagna phases, reduce the complete set of Skyrme field equations to just one integrable equation for the profile within sectors of arbitrary high topological charge. We compute explicitly the total energy of both configurations in terms of the flavor number, the density and the Baryonic charge. Remarkably, our analytic results allow to compare explicitly the physical properties of nuclear spaghetti and lasagna phases. Our construction shows explicitly that, at lower densities, configurations with N = 2 light flavors are favored while, at higher densities, configurations with N = 3 are favored. Our construction also proves that in the high density regime (but still well within the range of validity of the Skyrme model) the lasagna configurations are favored while at low density the spaghetti configurations are favored. Moreover, the integrability property of the present configurations is not spoiled by the inclusion of the subleading corrections to the Skyrme model arising in the ’t Hooft expansion. Finally, we briefly discuss the large N limit of our configurations.
Exact ground states and domain walls in one dimensional chiral magnets
Authors: Ross Calum , Sakai Norisuke , Nitta Muneto 
Published: December 2021

AbstractWe determine exactly the phase structure of a chiral magnet in one spatial dimension with the Dzyaloshinskii-Moriya (DM) interaction and a potential that is a function of the third component of the magnetization vector,n3, with a Zeeman (linear with the coefficientB) term and an anisotropy (quadratic with the coefficientA) term, constrained so that 2A ≤ |B|. For large values of potential parametersAandB, the system is in one of the ferromagnetic phases, whereas it is in the spiral phase for small values. In the spiral phase we find a continuum of spiral solutions, which are one-dimensionally modulated solutions with various periods. The ground state is determined as the spiral solution with the lowest average energy density. As the phase boundary approaches, the period of the lowest energy spiral solution diverges, and the spiral solutions become domain wall solutions with zero energy at the boundary. The energy of the domain wall solutions is positive in the homogeneous phase region, but is negative in the spiral phase region, signaling the instability of the homogeneous (ferromagnetic) state. The order of the phase transition between spiral and homogeneous phases and between polarized (n3=±1) and canted (n3≠±1) ferromagnetic phases is found to be second order.
Verknüpfung von Abrechnungsdaten gesetzlicher Krankenkassen mit Daten epidemiologischer Krebsregister: länderspezifische Möglichkeiten und Limitationen
Authors: Pigeot Iris , Bongaerts Brenda , Eberle Andrea , Katalinic Alexander , Kieschke Joachim , Luttmann Sabine , Meyer Martin , Nennecke Alice , Rathmann Wolfgang , Stabenow Roland , Wilsdorf-Köhler Heide , Kollhorst Bianca , Reinders Tammo 
Published: December 2021

Zusammenfassung
Hintergrund
In den letzten Jahren wird verstärkt gefordert, Forschungsdaten gemäß den sog. FAIR-Prinzipien für eine Nachnutzung aufzubereiten. Dadurch könnten zukünftige Projekte auf einer breiteren Datengrundlage durchgeführt sowie durch Verknüpfung verschiedener Datenquellen neue Fragestellungen untersucht werden.

Fragestellung
Eruiert werden soll, inwieweit Abrechnungsdaten gesetzlicher Krankenversicherungen mit den Daten der Landeskrebsregister (LKR) überregional verknüpft werden können, um die in den Abrechnungsdaten fehlenden Informationen zu Krebserkrankungen ergänzen und die Validität der dortigen Angaben zur Tumordiagnose beurteilen zu können. Der Fokus liegt dabei auf der Beschreibung der länderspezifischen Anforderungen für einen solchen Datenabgleich.

Material und Methoden
Als Datenquellen wurden die Pharmakoepidemiologische Forschungsdatenbank GePaRD des Leibniz-Instituts für Präventionsforschung und Epidemiologie – BIPS und sechs Krebsregister herangezogen. Zur Verknüpfung wurden vergleichend das logistisch aufwendige direkte Linkage- und ein weniger aufwendiges indirektes Linkage-Verfahren angewandt. Dazu mussten für GePaRD und für jedes LKR die Genehmigungen der jeweils zuständigen Behörde eingeholt werden.

Ergebnisse
Hinsichtlich der Verknüpfung von LKR-Daten mit GePaRD zeigten sich gravierende Unterschiede in der Datenbereitstellung (vollständige Ablehnung bis hin zu einer unkomplizierten Umsetzung).

Diskussion
In Deutschland müssen einheitliche Rahmenbedingungen geschaffen werden, um eine angemessene Nachnutzung und eine Verknüpfung von personenbezogenen Gesundheitsdaten zu Forschungszwecken im Sinne der FAIR-Prinzipien zu ermöglichen. Bezüglich der Verknüpfung von LKR-Daten mit anderen Datenquellen könnte das neue Gesetz zur Zusammenführung von Krebsregisterdaten Abhilfe schaffen.
Isolation and probiotic potential of lactic acid bacteria from swine feces for feed additive composition
Authors: Marchwińska Katarzyna , Gwiazdowska Daniela 
Published: December 2021

AbstractAnimal microbiota is becoming an object of interest as a source of beneficial bacteria for commercial use. Moreover, the escalating problem of bacterial resistance to antibiotics is threatening animals and humans; therefore, in the last decade intensive search for alternative antimicrobials has been observed. In this study, lactic acid bacteria (LAB) were isolated from suckling and weaned pigs feces (376) and characterized to determine their functional properties and usability as pigs additives. Selection of the most promising LAB was made after each stage of research. Isolates were tested for their antimicrobial activity (376) and susceptibility to antibiotics (71). Selected LAB isolates (41) were tested for the production of organic acids, enzymatic activity, cell surface hydrophobicity and survival in gastrointestinal tract. Isolates selected for feed additive (5) were identified by MALDI-TOF mass spectrometry and partial sequence analysis of 16S rRNA gene, represented by Lentilactobacillus, Lacticaseibacillus (both previously classified as Lactobacillus) and Pediococcus genus. Feed additive prototype demonstrated high viability after lyophilization and during storage at 4 °C and − 20 °C for 30 days. Finally, feed additive was tested for survival in simulated alimentary tract of pigs, showing viability at the sufficient level to colonize the host. Studies are focused on obtaining beneficial strains of LAB with probiotic properties for pigs feed additive.
Immune-related adverse events of COVID-19 vaccination in skin cancer patients receiving immune-checkpoint inhibitor treatment
Authors: Strobel Sophia B. , Machiraju Devayani , Kälber Katharina A. , Hassel Jessica C. 
Published: December 2021

AbstractTo date, few data are available regarding Adverse events (AEs) in cancer patients who are vaccinated for coronavirus disease 2019 (COVID-19) while being actively treated with Immune-checkpoint inhibitors (ICIs). We aimed to assess the safety of COVID-19 vaccines approved in Germany. Specifically, we investigated the frequency of general side effects and immune-related AEs of COVID-19 vaccination. A triage survey was used to collect the following information for patients with metastatic skin cancer: vaccine type, date of receipt of each dose of vaccine, and self-reported side effects. Clinical data were retrieved from the patients’ medical records. Of 130 patients with metastatic skin cancer, 89 patients were on immunotherapy and received COVID-19 vaccination. Of these 89 patients (median age: 64 years; 57 [64%] men), 89% had melanoma, and 71% received ICI therapy with a PD-1 antibody. Eighty-eight percent received an mRNA-based COVID-19 vaccination. The median follow-up time was 125 days after the first vaccination, and 84 days after the second. The most common observed side effects were mild to moderate pain at the injection site (40%), followed by fatigue (24%). Grade 3 irAEs were reported in eight patients, seven of whom were on nivolumab plus ipilimumab combination treatment. Of the 19 patients vaccinated within 72 h before/after ICI, five developed irAEs within 17 days (1–17 days). This small cohort study suggests that approved COVID-19 vaccinations are safe for use in cancer patients receiving ICIs. However, some precautions should be taken, especially regarding the timing of vaccination and ICI treatment.