bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining how different social account timings influence stress resolution in the aftermath of a psychological contract breach
Authors: Achnak Safâa , Rigotti Thomas , Vantilborgh Tim 
Published: December 2022

AbstractA great deal of empirical research on the consequences of a psychological contract breach (PCB) has overlooked the role of time in understanding individuals’ reactions to a PCB. Moreover, psychological contract research primarily focuses on how employees react to perceptions of a PCB, while questions regarding how the organization’s responsiveness (i.e., social account) might impact these reactions remain unanswered. We aimed to enhance the understanding of stress reactions and recovery that are triggered by PCB perceptions and stimulate empirical research that treats psychological contracts as a dynamic phenomenon. Drawing on the conservation of resources theory, we investigated how social account delivery timing—and its subjective experience—influences individuals’ stress resolution processes in the aftermath of a PCB. To this end, we used an experimental design and assessed participants’ physiological (i.e., heart rate) and psychological (i.e., self-report) stress reactions after inducing a breach. Our results underscore that a PCB is experienced as a stressful event. In addition, we find that social account timing influences heart rate recovery following a PCB. We discuss the theoretical and practical implications of our findings and offer recommendations for practitioners.
Forecasting blood demand for different blood groups in Shiraz using auto regressive integrated moving average (ARIMA) and artificial neural network (ANN) and a hybrid approaches
Authors: Sarvestani Seddigheh Edalat , Hatam Nahid , Seif Mozhgan , Kasraian Leila , Lari Fazilat Sharifi , Bayati Mohsen 
Published: December 2022

AbstractProviding fresh blood to keep people in need of blood alive, has always been a main issues of health systems. Right policy-making in this area requires accurate forecasting of blood demand. The current study aimed at predicting demand for different blood groups in Shiraz using Auto Regressive Integrated Moving Average (ARIMA), Artificial Neural Network (ANN) and a hybrid approaches. In the current time series analysis, monthly data of the Shiraz hospitals and medical centers demand for 8 blood groups during 2012–2019 were gathered from Shiraz branch of Iranian Blood Transfusion Organization. ARIMA, ANN and a hybrid model of them was used for prediction. To validate and comprise ARIMA and ANN models, Mean Square Error (MSE) and Mean Absolute Error (MAE) criteria were used. Finally, ARIMA, ANN and hybrid model estimates were compared to actual data for the last 12 months. R3.6.3 were used for statistical analysis. Based on the MSE and MAE of models, ARIMA had the best prediction for demand of all blood groups except O+ and O−. Moreover, for most blood groups, ARIMA had closer prediction to actual data. The demand for four blood groups (mostly negative groups) was increasing and the demand for other four blood groups (mostly positive ones) was decreasing. All three approaches including ARIMA, ANN and the hybrid of them predicted an almost downward trend for the total blood demand. Differences in the performance of various models could be due to the reasons such as different forecast horizons, daily/month/annual data, different sample sizes, types of demand variables and the transformation applied on them, and finally different blood demand behaviors in communities. Advances in surgical techniques, fetal screening, reduction of accidents leading to heavy bleeding, and the modified pattern of blood request for surgeries appeared to have been effective in reducing the demand trend in the current study. However, a longer time period would certainly provide more accurate estimates.
Relating soil physical properties to other soil properties and crop yields
Authors: Sainju Upendra M. , Liptzin Daniel , Jabro Jalal D. 
Published: December 2022

AbstractSoil physical properties can be related to other soil properties and crop yields, but their evaluations as soil health indicators relating to extensive soil properties and long-term crop yields need further exploration. We evaluated the long-term (14 and 36 year) effect of cropping systems and N fertilizations on selected soil physical properties and related them to 66 soil physical, chemical, biological, and biochemical properties and mean crop yields across years at two dryland farming sites in the semiarid region of the northern Great Plains, USA. Treatments were rotations of no-tillage and conventional tillage spring wheat (Triticum aestivum L.), barley (Hordeum vulgare L.), pea (Pisum sativum L.), and fallow with or without N fertilization. Soil samples collected in April 2019 were analyzed for physical, chemical, biological, and biochemical properties and mean crop yields were determined. The average slake aggregate (ASA), wet aggregate stability index (WASI), and intact core available water holding capacity (IAWHC) were associated with most soil physical, chemical, biological, and biochemical properties and clay concentration was associated with nutrient concentrations. These parameters were also better related to mean crop yields across years than other soil physical properties. Because of the enhanced relationship with soil properties and crop yields and simple and inexpensive measurement, ASA can be used as a potential soil health indicator in dryland cropping systems in semiarid regions.
Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions
Authors: Ali Sharib 
Published: December 2022

AbstractRecent developments in deep learning have enabled data-driven algorithms that can reach human-level performance and beyond. The development and deployment of medical image analysis methods have several challenges, including data heterogeneity due to population diversity and different device manufacturers. In addition, more input from experts is required for a reliable method development process. While the exponential growth in clinical imaging data has enabled deep learning to flourish, data heterogeneity, multi-modality, and rare or inconspicuous disease cases still need to be explored. Endoscopy being highly operator-dependent with grim clinical outcomes in some disease cases, reliable and accurate automated system guidance can improve patient care. Most designed methods must be more generalisable to the unseen target data, patient population variability, and variable disease appearances. The paper reviews recent works on endoscopic image analysis with artificial intelligence (AI) and emphasises the current unmatched needs in this field. Finally, it outlines the future directions for clinically relevant complex AI solutions to improve patient outcomes.
Motor generated torque drives coupled yawing and orbital rotations of kinesin coated gold nanorods
Authors: Sugawa Mitsuhiro , Maruyama Yohei , Yamagishi Masahiko , Cross Robert A. , Yajima Junichiro 
Published: December 2022

AbstractKinesin motor domains generate impulses of force and movement that have both translational and rotational (torque) components. Here, we ask how the torque component influences function in cargo-attached teams of weakly processive kinesins. Using an assay in which kinesin-coated gold nanorods (kinesin-GNRs) translocate on suspended microtubules, we show that for both single-headed KIF1A and dimeric ZEN-4, the intensities of polarized light scattered by the kinesin-GNRs in two orthogonal directions periodically oscillate as the GNRs crawl towards microtubule plus ends, indicating that translocating kinesin-GNRs unidirectionally rotate about their short (yaw) axes whilst following an overall left-handed helical orbit around the microtubule axis. For orientations of the GNR that generate a signal, the period of this short axis rotation corresponds to two periods of the overall helical trajectory. Torque force thus drives both rolling and yawing of near-spherical cargoes carrying rigidly-attached weakly processive kinesins, with possible relevance to intracellular transport.
Dickkopf1 fuels inflammatory cytokine responses
Authors: Jaschke Nikolai P. , Pählig Sophie , Sinha Anupam , Adolph Timon E. , Colunga Maria Ledesma , Hofmann Maura , Wang Andrew , Thiele Sylvia , Schwärzler Julian , Kleymann Alexander , Gentzel Marc , Tilg Herbert , Wielockx Ben , Hofbauer Lorenz C. , Rauner Martina , Göbel Andy , Rachner Tilman D. 
Published: December 2022

AbstractMany human diseases, including cancer, share an inflammatory component but the molecular underpinnings remain incompletely understood. We report that physiological and pathological Dickkopf1 (DKK1) activity fuels inflammatory cytokine responses in cell models, mice and humans. DKK1 maintains the elevated inflammatory tone of cancer cells and is required for mounting cytokine responses following ligation of toll-like and cytokine receptors. DKK1-controlled inflammation derives from cell-autonomous mechanisms, which involve SOCS3-restricted, nuclear RelA (p65) activity. We translate these findings to humans by showing that genetic DKK1 variants are linked to elevated cytokine production across healthy populations. Finally, we find that genetic deletion of DKK1 but not pharmacological neutralization of soluble DKK1 ameliorates inflammation and disease trajectories in a mouse model of endotoxemia. Collectively, our study identifies a cell-autonomous function of DKK1 in the control of the inflammatory response, which is conserved between malignant and non-malignant cells. Additional studies are required to mechanistically dissect cellular DKK1 trafficking and signaling pathways.
Comparison of dynamical and kinematic reference frames via pulsar positions from timing, Gaia, and interferometric astrometry
Authors: Liu N. , Zhu Z. , Antoniadis J. , Liu J.-C. , Zhang H. , Jiang N. 
Published: December 2022

Context. Pulsars are special objects whose positions can be determined independently from timing, radio interferometric, and Gaia astrometry at sub-milliarcsecond (mas) precision; thus, they provide a unique way to monitor the link between dynamical and kinematic reference frames.
Aims. We aim to assess the orientation consistency between the dynamical reference frames represented by the planetary ephemerides and the kinematic reference frames constructed by Gaia and very long baseline interferometry (VLBI) through pulsar positions.
Methods. We identified 49 pulsars in Gaia Data Release 3 and 62 pulsars with VLBI positions from the PSRπ and MSPSRπ projects and searched for the published timing solutions of these pulsars. We then compared pulsar positions measured by timing, VLBI, and Gaia to estimate the orientation offsets of the ephemeris frames with respect to the Gaia and VLBI reference frames by iterative fitting.
Results. We found orientation offsets of ~10 mas in the DE200 frame with respect to the Gaia and VLBI frame. Our results strongly depend on the subset used in the comparison and they could be biased by underestimated errors in the archival timing data, reflecting the limitation of using the literature timing solutions to determine the frame rotation.
Study of oxygen-rich post-AGB stars in the Milky Way as a means to explain the production of silicates among evolved stars
Authors: Dell’Agli F. , Tosi S. , Kamath D. , Ventura P. , Van Winckel H. , Marini E. , Marchetti T. 
Published: December 2022

Context. The study of post-asymptotic giant branch (post-AGB) stars is a valuable tool in improving our understanding of poorly known aspects of the evolution of the stars throughout the asymptotic giant branch (AGB). This can be done thanks to the availability of more accurate determinations of their surface chemical composition and the peculiar shape of their spectral energy distribution (SED): the emission from the central star can be easily disentangled from the contribution from the dusty shell, which can then be characterized.
Aims. The goal of the present study is to reconstruct the dust formation process and, more generally, the late phases of evolution for oxygen-rich stars across the AGB phase. This is performed by studying oxygen-rich, post-AGB stars and analyzing them in terms of their luminosity, effective temperature, and infrared excess.
Methods. We studied sources classified as single, oxygen-rich, post-AGB stars in the Galaxy that exhibit a double-peaked (shell-type) SED. We used results from stellar evolution modeling, combined with dust formation and radiative transfer modeling, to reconstruct late AGB phases and the initial contraction to the post-AGB phase. We also determined the mass-loss and dust-formation rates for stars of different masses and chemical compositions.
Results. The analysis of the IR excess of the post-AGB, oxygen-rich stars examined in this study outlines an interesting complexity with regard to the correlation between the dust in the surroundings of the stars, the evolutionary status, and the progenitor’s mass. The sources descending from massive AGBs (> 3 M⊙, depending on metallicity) are generally characterized by higher infrared excess than the lower mass counterparts, owing to the more intense dust formation taking place during the final AGB phases. From the determination of the location of the dusty regions, we can deduce that the expanding velocities of the outflow change significantly from star to star. We also discuss the possibility that radiation pressure is not able of accelerating the wind in the faintest objects.
Higher metal abundances do not solve the solar problem
Authors: Buldgen G. , Eggenberger P. , Noels A. , Scuflaire R. , Amarsi A. M. , Grevesse N. , Salmon S. 
Published: December 2022

Context. The Sun acts as a cornerstone of stellar physics. Thanks to spectroscopic, helioseismic and neutrino flux observations, we can use the Sun as a laboratory of fundamental physics in extreme conditions. The conclusions we draw are then used to inform and calibrate evolutionary models of all other stars in the Universe. However, solar models are in tension with helioseismic constraints. The debate on the ‘solar problem’ has hitherto led to numerous publications discussing potential issues with solar models and abundances.
Aims. Using the recently suggested high-metallicity abundances for the Sun, we compute standard solar models as well as models with macroscopic transport that reproduce the solar surface lithium abundances, and we analyze their properties in terms of helioseismic and neutrino flux observations.
Methods. We compute solar evolutionary models and combine spectroscopic and helioseismic constraints as well as neutrino fluxes to investigate the impact of macroscopic transport on these measurements.
Results. When high-metallicity solar models are calibrated to reproduce the measured solar lithium depletion, tensions arise with respect to helioseismology and neutrino fluxes. This is yet another demonstration that the solar problem is also linked to the physical prescriptions of solar evolutionary models and not to chemical composition alone.
Conclusions. A revision of the physical ingredients of solar models is needed in order to improve our understanding of stellar structure and evolution. The solar problem is not limited to the photospheric abundances if the depletion of light elements is considered. In addition, tighter constraints on the solar beryllium abundance will play a key role improving of solar models.
COVID 19 – Hospitalisierung in der ersten und zweiten Welle
Authors: Lehmann Mathias , Peeters Sven , Streuter Manuel , Nawrocki Marek , Kösters Katrin , Kröger Knut 
Published: December 2022

Zusammenfassung
Hintergrund Analysiert wurden die Patientencharakteristika und Krankheitsverläufe aller Patienten, die mit COVID-19 in der 1. und 2. Welle im HELIOS-Klinikum Krefeld behandelt wurden.
Methoden Eingeschlossen wurden 84 Patienten aus der 1. Welle (11.03.2020–30.06.2020) und 344 Patienten aus der 2. Welle (01.07.2020–31.01.2021).
Ergebnisse Alter, Geschlecht und Komorbiditäten der Patienten waren ähnlich, mit Ausnahme der venösen Thrombose in der Anamnese. Diese lagen in der 1. Welle häufiger vor als in der 2. Welle (6 % vs. 0,3 %, p = 0,001). Bei der Aufnahme gab es keine Unterschiede in den Ergebnissen der initialen Laborwerte (C-reaktives Protein, Leukozyten) und Blutgasanalysen zwischen beiden Gruppen. Die Behandlung unterschied sich in der Anwendung von Dexamethason und Antikoagulation. In der 1. Welle erhielt niemand Dexamethason, in der 2. Welle jedoch 52,6 % der Patienten für eine durchschnittliche Dauer von 3,6 ± 4,1 Tagen. Eine Antikoagulation mit doppelter Standardprophylaxe (2 × 40 mg niedermolekulares Heparin, subkutan) wurde in der 1. Welle bei 7,1 % und in der 2. Welle bei 30,2 % der Patienten (p = 0,002) durchgeführt. In der 1. Welle wurden mehr thromboembolische Ereignisse nach der Aufnahme diagnostiziert (19,0 % gegenüber 7,0 %, p = 0,001). Die Sterblichkeitsrate im Krankenhaus lag in der 1. Welle bei 26,2 % und in der zweiten Welle bei 15,4 % (p = 0,0234). Die meisten Todesfälle waren auf das akute Atemnotsyndrom (ARDS) zurückzuführen.
Schlussfolgerung Die Patientencharakteristika unterschieden sich in der 1. und 2. COVID-19-Welle nicht, aber Antikoagulation und Dexamethason wurden in der 2. Welle häufiger eingesetzt. Darüber hinaus traten in der 2. Welle weniger thromboembolische Komplikationen auf.
Imaging Posterior Instability of the Shoulder
Authors: Rajeswaran Gajan , Basu Subhasis , Funk Lennard 
Published: December 2022

AbstractPosterior instability of the shoulder is much less common than anterior instability with a clinical presentation that is often less obvious, making the diagnosis more challenging and more easily missed. We describe the imaging findings of posterior instability so the radiologist can make the diagnosis and provide a detailed description, enabling the surgeon to make more informed decisions regarding management and surgery.
Respiratory Viruses and Cystic Fibrosis
Authors: Brackenborough Kate , Ellis Huw , Flight William G. 
Published: December 2022

AbstractThe threat of respiratory virus infection to human health and well-being has been clearly highlighted by the coronavirus disease 2019 (COVID-19) pandemic. For people with cystic fibrosis (CF), the clinical significance of viral infections long predated the emergence of severe acute respiratory syndrome coronavirus 2. This article reviews the epidemiology, diagnosis, and treatment of respiratory virus infection in the context of CF as well as the current understanding of interactions between viruses and other microorganisms in the CF lung. The incidence of respiratory virus infection in CF varies by age with young children typically experiencing more frequent episodes than adolescents and adults. At all ages, respiratory viruses are very common in CF and are associated with pulmonary exacerbations. Respiratory viruses are identified at up to 69% of exacerbations, while viruses are also frequently detected during clinical stability. The full impact of COVID-19 in CF is yet to be established. Early studies found that rates of COVID-19 were lower in CF cohorts than in the general population. The reasons for this are unclear but may be related to the effects of shielding, infection control practices, maintenance CF therapies, or the inflammatory milieu in the CF lung. Observational studies have consistently identified that prior solid organ transplantation is a key risk factor for poor outcomes from COVID-19 in CF. Several key priorities for future research are highlighted. First, the impact of highly effective CFTR modulator therapy on the epidemiology and pathophysiology of viral infections in CF requires investigation. Second, the impact of respiratory viruses on the development and dynamics of the CF lung microbiota is poorly understood and viral infection may have important interactions with bacteria and fungi in the airway. Finally, bacteriophages represent a key focus of future investigation both for their role in transmission of antimicrobial resistance and as a promising treatment modality for multiresistant pathogens.
Precise pulsed magnetic field mapping using a compact pick-up probe for a pulsed sextupole magnet
Authors: Lu Y. , Mitsuda C. , Takaki H. , Obina T. , Kobayashi Y. 
Published: December 2022

A pulsed sextupole magnet was used for beam injection at the KEK-Photon Factory (KEK-PF). During the top-up injection, oscillation of the stored beam was observed. To investigate this issue, a compact pick-up probe has been developed for measuring peak fields around the zero-magnetic-field region where the stored beam passes. The probe has two coils: a main coil and a background coil. The width and length of the main coil are only 3.2 and 5.8 mm, respectively. The voltage signal from the background coil is subtracted from that of the main coil to obtain an effective voltage signal. The results show that the peak field of a pulsed magnet can be measured with a sufficient accuracy for magnetic field mapping. A magnetic field signal with an amplitude of 2.2 × 10−4 T was measured clearly. The longitudinal field structure that contains the magnetic field generated by the eddy-current effect was observed, which explains the oscillation of the stored beam at the KEK-PF.
Stenocranus pacificus Kirkaldy. [Distribution map].
Authors: CABI  , EPPO  
Published: December 2022

Abstract

A new distribution map is provided for Stenocranus pacificus Kirkaldy. Hemiptera: Delphacidae. Main host: corn (
Zea mays
), also rice (
Oryza sativa
), sugarcane (
Saccharum
sp.) and other grasses.
Tessaratoma papillosa (Drury). [Distribution map].
Authors: CABI  , EPPO  
Published: December 2022

Abstract

A new distribution map is provided for Tessaratoma papillosa (Drury). Hemiptera: Tessaratomidae. Main hosts: litchi (
Litchi chinensis
), longan (
Dimocarpus longan
), also
Citrus
spp.
Photoelectric current generation in a monolayer MoSe2–WS2 lateral heterojunction
Authors: Xu Zhonghui , Yuan Qiuming , Siu Zhuo Bin , Rafi-Ul-Islam S M , Sun Chi , Zhao Shuliang , Jalil Mansoor B A 
Published: December 2022

Abstract
Based on density functional theory calculations and non-equilibrium Green’s function method, we study the photovoltaic effect of monolayer MoSe2–WS2 lateral heterojunction under vertical irradiation. Combined with the differential charge density, it predicts the stability of the MoSe2–WS2 heterojunction and the high possibility of charge transfer from MoSe2 to WS2. As a result, such MoSe2–WS2 lateral heterojunction breaks the spatial inversion symmetry thus leading to a photocurrent. The resultant photocurrent increases from close to zero to a maximum value in the range of photon energy of 1.7 eV–2.8 eV. The photocurrent response fits the cosine function with respect to the polarization angle. The peak photocurrent is obtained when the photon energy is 2.8 eV, and can be attributable to the large density state peaks near −1.3 eV in the valence band and 1.5 eV in the conduction band. Meanwhile, the single-layer MoSe2–WS2 lateral heterojunction exhibits higher polarization sensitivity that is characterized by an extinction ratio of up to 9.6. These results suggest possible applications of the single-layer MoSe2–WS2 lateral heterojunction in next generation optoelectronic devices.