bluuebunny/crossref_metadata_2025_split huggingface dataset:
A fungal Bipolaris bicolor strain as a potential bioherbicide for goosegrass (Eleusine indica) control
Authors: Xiao Wan , Li Jingjing , Zhang Yaxin , Guo Yanjing , Fang Wanping , Valverde Bernal E , Yin Juan , Qiang Sheng , Chen Shiguo 
Published: November 2021

AbstractBACKGROUNDTea, one of the most important commercial crops on earth, is strongly affected by weeds on productivity and quality. Bioherbicides are shedding new light on weed control in tea gardens in an economical and safe manner.RESULTSA pathogenic strain SYNJC‐2‐2 was isolated from diseased leaves of a noxious weed, goosegrass (Eleusine indica), from a tea garden in Zhejiang Province, China. It was identified as the fungal species Bipolaris bicolor based on the morphological characteristics and phylogenetic analysis. The potential of the B. bicolor strain SYNJC‐2‐2 as a bioherbicide was assessed by determining its efficacy to control weeds and selectivity to crops, its infection process and the influence of environmental conditions on conidial production and germination. The ED90 (effective dose of conidia resulting in 90 disease index) of SYNJC‐2‐2 on goosegrass was 2 × 104 conidia mL−1. Additionally, three Poaceae weeds, Setaria viridis, Microstegium vimineum and Pennisetum alopecuroides, were also extremely susceptible to SYNJC‐2‐2. SYNJC‐2‐2 was safe to 14 out of 17 crop species in nine families, especially tea plants. Conidial germination, hyphal growth and appressorial formation occurred within 3 to 6 h on goosegrass leaves. Hyphae invaded leaf tissues mainly through epidermal cell junctions and cracks, causing cell death and necrotic lesions within 2 days on inoculated leaves and killing goosegrass plants within 7 days. Furthermore, SYNJC‐2‐2 has a strong adaptability to environmental variables and high conidial production capacity on goosegrass juice agar media.CONCLUSIONBipolaris bicolor strain SYNJC‐2‐2 has the potential to be developed as a bioherbicide for controlling goosegrass, especially in tea gardens.
Cold pools over the Netherlands: A statistical study from tower and radar observations
Authors: Kruse Irene L. , Haerter Jan O. , Meyer Bettina 
Published: November 2021

AbstractWe provide a detailed analysis of convectively generated cold pools (CPs) over flat midlatitude land, combining ten‐year high‐frequency time series of measurements at several heights available from the 213‐m tower observatory at Cabauw, the Netherlands, with a collocated 2D radar rainfall dataset. This combination of data allows us to relate observations of the CP's temporal and vertical structure to the properties of each CP's parent rain cell, which we identify by rain‐cell tracking. Using a new detection method, based on the anomalies of both the vertically averaged wind and the temperature, we monitor the arrival and passing of 189 CPs during ten summers (2010–2019). The time series show a clear signature of vortex‐like motion along the leading CP edge in the vertical and horizontal wind measurements. The arrival of CP gust fronts is characterized by a steep decrease in both temperature and moisture, with a recovery time of approximately two hours. We see no evidence of moisture rings on the gust front edge, and therefore no indications for thermodynamic convective triggering. From the tower data, we obtain a median CP temperature drop of and a height‐averaged horizontal wind anomaly of  4.4 ms. Relating the individual CP's horizontal wind anomalies and temperature drops, we confirm the validity of the theoretical density current relationship, . We further propose a simple statistical model to relate the CP strength defined by to the environmental properties influencing the CP: rain intensity and lower boundary‐layer saturation. A multivariate linear regression suggests a colder CP for a 4 mmhr more intense rain cell (instantaneous area‐averaged rain intensity) or for a larger pre‐CP dew‐point depression.
A novel EWMA mean chart with its extensions
Authors: Haq Abdul , Iqbal Shahid , Khoo Michael B. C. 
Published: November 2021

AbstractThe EWMA chart is an advanced process monitoring tool because of its sensitive nature against small and moderate shifts that occur in the process parameter(s). In this paper, with a transformation related to the Brownian motion, we propose novel EWMA, double EWMA, triple EWMA, and quadruple EWMA charts for monitoring the mean of a process that follows a normal distribution. The Monte Carlo simulations are used to compute the run length properties of the proposed charts. Based on a comparative study, it is found that the newly proposed charts are uniformly and substantially better than their existing counterparts when detecting different kinds of shifts in the process mean. Real datasets are also considered to demonstrate the implementation of the proposed charts.
Switching from omalizumab to mepolizumab therapy improved extra‐pulmonary abdominal and cutaneous vasculitis symptoms in a patient with eosinophilic granulomatosis with polyangiitis
Authors: Chen Yu‐Hsuan , Kuo Ping‐Hung 
Published: November 2021

AbstractEosinophilic granulomatosis with polyangiitis (EGPA) is a systemic vasculitis of small‐to‐medium‐sized vessels. Both eosinophilic infiltration and vasculitis are thought to contribute to multi‐organ damage. Some biologics have been used to reduce the required dose of corticosteroids in EGPA, but no single agent can ensure a complete control of this disease. Here, we describe a patient with anti‐neutrophil cytoplasmic antibodies‐negative relapsing EGPA whose asthma control was improved by omalizumab, but she continued to develop flares of abdominal and cutaneous vasculitis symptoms. After switching to mepolizumab therapy, her blood hypereosinophilia and extra‐pulmonary symptoms were significantly improved. Moreover, the dose of daily maintenance corticosteroid could be tapered off. The experience from our case suggests that biologics targeting interleukin‐5 may be more effective than omalizumab in the management of extra‐thoracic manifestations in EGPA.
Nekrotisierende Myositis des Oberschenkels
Authors: Schmitz Paul , Hausmann Nadine 
Published: November 2021

ZusammenfassungInfektionen des muskuloskeletalen Systems sind in der Unfallchirurgie mitunter die Krankheitsbilder, die Patienten am gravierendsten beeinträchtigen, Ärzte fachlich sowie Kliniken und das Gesundheitssystem ökonomisch herausfordern. Das systemische „Capillary-leak“-Syndrom (SCLS) ist ein seltenes idiopathisches Syndrom, welches auch bei harmlosen Infektionen fulminante lebensbedrohliche Verläufe provozieren kann. Neben einer übersichtlichen Darstellung des SCLS wird über einen betroffenen Patienten, der infolge einer instabilen Narbe eine nekrotisierende Myositis des Oberschenkels entwickelte, berichtet.
Maßgeschneiderte Sanierungsverfahren für die Tunnelentwässerung – DrainRepair
Authors: Arbeiter Florian , Schachinger Tobias , Wenighofer Robert , Rieß Giesbert , Steiner Michael , Schoen Andreas , Griebaum Michael , Laufer Viktor , Galler Robert 
Published: November 2021

ZusammenfassungDrainagesysteme dienen in druckwasserentlasteten Tunnelbauwerken der permanenten konzentrierten Ableitung des anfallenden Grundwassers. Zur Sicherstellung der Funktionstüchtigkeit der Bauwerke müssen diese Drainagen in regelmäßigen Abständen gewartet und gereinigt werden. Vor allem bei schwer lösbaren Versinterungen kann es durch intensive Reinigung auch zu Schäden an den Drainage-Rohren selbst kommen. Je nach auftretendem Schadensbild können diese defekten Rohre im schlimmsten Fall sogar eine Bedrohung für das gesamte Bauwerk darstellen. Aus diesem Grund ist es unerlässlich, beschädigte Drainage-Rohre zeitnah instand zu setzen.Aus dem Bereich der kommunalen Wasserwirtschaft und dem Kanalwesen sind einige Verfahren, die zur grabenlosen Sanierung von Rohren standardmäßig eingesetzt werden können, bekannt. Das Problem bestehender Verfahren ist, dass diese die spezifischen tunnelbaulichen Aspekte, wie die benötigte Drainagewirkung, eingeschränkte Zutrittsmöglichkeiten über Putzschächte, keine komplette Absperrmöglichkeit des Drainagewassers, intensivere Reinigungsarbeiten etc. bis dato meist nicht berücksichtigen.
Die künstliche Intelligenz im Einsatz zur adaptiven Planung von Injektionsmaßnahmen im Tunnelbau (Forschungsprojekt AVANT)
Authors: Villeneuve Marlene , Wenighofer Robert , Könemann Frank , Thienert Christian , Klaproth Christoph , Gabriel Patrick , Ouschan Michael 
Published: November 2021

ZusammenfassungFür Vortriebe können Injektionen zur Baugrundverbesserung sowie zur Abdichtung des Tunnelbauwerks erforderlich sein. Häufig schränken diese Maßnahmen die Vortriebsgeschwindigkeit gravierend ein, weswegen deren effiziente Vorausplanung bedeutsam ist. Injektionen eignen sich bei wechselhaften Bedingungen besonders, weil sie mit vergleichsweise einfachen Baugeräten flexibel durchgeführt werden können. Zusätzlich ermöglicht die Flexibilität ein fortwährendes Anpassen der Bohr- und Injektionsparameter während der Durchführung. Dies kann die regelmäßige Anpassung des Bohrschemas, der -länge sowie der Injektionsparameter, des Injektionsmaterials und Abbruchkriteriums bedeuten.Die Möglichkeit maschinenbasierter, datengetriebener Maßnahmen mittels künstlicher Intelligenz (KI) wird im Forschungsprojekt AVANT untersucht. Ein Forschungskonsortium, bestehend aus den deutschen Partnern STUVA e. V., geoteam Ingenieurges. m.b.H. und den österreichischen Partnern eguana GmbH, Montanuniversität Leoben und Züblin Spezialtiefbau Ges.m.b.H., nimmt sich dieser Aufgabe an.Digitale Systeme zur Datenaufzeichnung sind nun auch im Bereich der Bohr- und Injektionstechnologie vorzufinden. Diese Systeme werden derzeit vorwiegend in der Dokumentation im Rahmen des Qualitätsmanagements eingesetzt. Im Projekt AVANT werden diese Daten untersucht, um einen effizienteren und somit wirtschaftlicheren Vortrieb sowie deren begleitende Injektionsmaßnahmen zu ermöglichen. Die zentrale Idee ist die Prozessierung der Bohr- und Injektionsdaten auf der Baustelle untertage sowie deren Einbindung im nachfolgenden Bauprozess, anstatt sie wie üblich ausschließlich zu Dokumentationszwecken zu archivieren. Konkret sollen die einzelnen Prozessschritte in eine dynamische echtzeitfähige Verarbeitung eingebettet werden. Dazu werden Methoden der künstlichen Intelligenz auf Bohr- und Injektionsdaten angewandt.Im vorliegenden Beitrag wird das Konzept des Projekts AVANT erläutert, und es werden erste Ergebnisse aus den Aufbereitungen der Datenquelle entsprechend den Algorithmen der künstlichen Intelligenz und deren Einschränkungen dargelegt. Der Beitrag beleuchtet tiefer gehend die nötige Grundlagenarbeit, um die Daten für die Prozessierung aufzubereiten und sie in eine KI-Trainingsumgebung zu überführen.
Like It or Not: When Corporate Social Responsibility Does Not Attract Potential Applicants
Authors: Jakob Eva Alexandra , Steinmetz Holger , Wehner Marius Claus , Engelhardt Christina , Kabst Rüdiger 
Published: November 2021

AbstractCompanies increasingly recognize the importance of communicating corporate social responsibility (CSR) including their engagement toward employees, the community, the environment and other stakeholder groups to attract applicants. The positive findings on the effect of CSR on applicants’ reactions are commonly based on the assumption that companies send a clear signal about their commitment to CSR. However, communication is always contextualized and has become more ambiguous through the increased availability of information online. External stakeholders including actual and potential applicants are confronted with inconsistencies between the way companies communicate CSR activities and their overall CSR performance. Drawing on signaling theory, this article raises the question of how the interaction between strong CSR communication and low CSR performance influences organizational attractiveness. We propose that low CSR performance dampens the effect of CSR communication on organizational attractiveness. Hence, the inconsistency between CSR communication and CSR performance decreases organizational attractiveness. To test our hypotheses, we scraped 67,189 posts published on corporate Facebook career pages by 58 Fortune 500 companies from the time they began their respective career page until June 2018. Surprisingly, our results show that a low CSR performance strengthens the effect of CSR communication on organizational attractiveness. Thus, inconsistencies between CSR communication and CSR performance seem to lead to positive evaluations among applicants.
RETRACTED ARTICLE: IRE1α-XBP1 but not PERK inhibition exerts anti-tumor activity in osteosarcoma
Authors: Sasa Keita , Saito Tsuyoshi , Kurihara Taisei , Hasegawa Nobuhiko , Sano Kei , Kubota Daisuke , Akaike Keisuke , Okubo Taketo , Hayashi Takuo , Takagi Tatsuya , Yao Takashi , Ishijima Muneaki , Suehara Yoshiyuki 
Published: November 2021

AbstractOsteosarcoma (OS) is the most common primary malignant bone tumor. However, the therapeutic results of the advanced cases at the first visit were still extremely poor. Therefore, more effective therapeutic options based on molecular profiling of OS are needed. In this study, we investigated the functions of endoplasmic reticulum (ER) stress activities in OS and elucidated whether ER stress inhibitors could exert antitumor effects. The expression of 84 key genes associated with unfolded protein response (UPR) was assessed in four OS cells (143B, MG63, U2OS and KHOS) by RT2 Profiler PCR Arrays. Based on results, we performed both siRNA and inhibitor assays focusing on IRE1α-XBP1 and PERK pathways. All OS cell lines showed resistance to PERK inhibitors. Furthermore, ATF4 and EIF2A inhibition by siRNA did not affect the survival of OS cell lines. On the other hand, IRE1α-XBP1 inhibition by toyocamycin suppressed OS cell growth (IC50: < 0.075 μM) and cell viability was suppressed in all OS cell lines by silencing XBP1 expression. The expression of XBP1s and XBP1u in OS cell lines and OS surgical samples were confirmed using qPCR. In MG63 and U2OS, toyocamycin decreased the expression level of XBP1s induced by tunicamycin. On the other hand, in 143B and KHOS, stimulation by toyocamycin did not clearly change the expression level of XBP1s induced by tunicamycin. However, morphological apoptotic changes and caspase activation were observed in these two cell lines. Inhibition of the IRE1α-XBP1s pathway is expected to be a promising new target for OS.
Sweet spots prediction through fracture genesis using multi-scale geological and geophysical data in the karst reservoirs of Cambrian Longwangmiao Carbonate Formation, Moxi-Gaoshiti area in Sichuan Basin, South China
Authors: Jiang Ren , Zhao Lun , Xu Anzhu , Ashraf Umar , Yin Jiquan , Song Heng , Su Nan , Du Bingyi , Anees Aqsa 
Published: November 2021

AbstractFractures play a vital role in reservoir transformation, but the distribution of faults and fractures is difficult to obtain by observing cores, which ultimately limits the effective development of gas dolomite reservoirs. We propose an integrated method that incorporates thin-section observations, three-dimensional (3D) seismic data, and image logs to interpret the distribution of faults and fractures of Cambrian Longwangmiao Carbonate Formation to predict potential development areas in the Moxi-Gaoshiti area of the Sichuan Basin, South China. Firstly, the faults were well interpreted by using the automatic tracking and 3D visualization technique based on the new seismic combination attribute of symmetry and ant tracking. Secondly, a comprehensive analysis was conducted using the thin sections, paleogeomorphology, and in situ test results to determine the fracture types (corrosion and structural fractures). The results help us to find potential sweet spot zones with good permeabilities, which is of great significance in reducing the risk of water production of drilled wells in the field development.
Quantum Support Vector Machines for Continuum Suppression in B Meson Decays
Authors: Heredge Jamie , Hill Charles , Hollenberg Lloyd , Sevior Martin 
Published: November 2021

AbstractQuantum computers have the potential to speed up certain computational tasks. A possibility this opens up within the field of machine learning is the use of quantum techniques that may be inefficient to simulate classically but could provide superior performance in some tasks. Machine learning algorithms are ubiquitous in particle physics and as advances are made in quantum machine learning technology there may be a similar adoption of these quantum techniques. In this work a quantum support vector machine (QSVM) is implemented for signal-background classification. We investigate the effect of different quantum encoding circuits, the process that transforms classical data into a quantum state, on the final classification performance. We show an encoding approach that achieves an average Area Under Receiver Operating Characteristic Curve (AUC) of 0.848 determined using quantum circuit simulations. For this same dataset the best classical method tested, a classical Support Vector Machine (SVM) using the Radial Basis Function (RBF) Kernel achieved an AUC of 0.793. Using a reduced version of the dataset we then ran the algorithm on the IBM Quantum ibmq_casablanca device achieving an average AUC of 0.703. As further improvements to the error rates and availability of quantum computers materialise, they could form a new approach for data analysis in high energy physics.
Acupuncture versus cognitive behavioral therapy for pain among cancer survivors with insomnia: an exploratory analysis of a randomized clinical trial
Authors: Yang Mingxiao , Liou Kevin T. , Garland Sheila N. , Bao Ting , Hung Tony K. W. , Li Susan Q. , Li Yuelin , Mao Jun J. 
Published: November 2021

AbstractPain and insomnia often co-occur and impair the quality of life in cancer survivors. This study evaluated the effect of acupuncture versus cognitive behavioral therapy for insomnia (CBT-I) on pain severity among cancer survivors with comorbid pain and insomnia. Using data from the CHOICE trial that compared acupuncture versus CBT-I for insomnia among cancer survivors, we analyzed the effect of interventions on pain outcomes in 70 patients with moderate to severe baseline pain. Interventions were delivered over eight weeks. We assessed average pain severity (primary outcome) and pain interference at baseline, week 8, and week 20. We further defined insomnia and pain responders as patients who achieved clinically meaningful improvement in insomnia and pain outcomes, respectively, at week 8. We found that compared with baseline, the between-group difference (-1.0, 95% CI -1.8 to -0.2) was statistically significant favoring acupuncture for reduced pain severity at week 8 (-1.4, 95% CI -2.0 to -0.8) relative to CBT-I (-0.4, 95% CI-1.0 to 0.2). Responder analysis showed that 1) with acupuncture, insomnia responders reported significantly greater pain reduction from baseline to week 4, compared with insomnia non-responders (-1.5, 95% CI -2.7 to -0.3); 2) with CBT-I, pain responders reported significantly greater insomnia reduction at week 8, compared with pain non-responders (-4.7, 95% CI -8.7 to -1.0). These findings suggest that among cancer survivors with comorbid pain and insomnia, acupuncture led to rapid pain reductions, which contributed to a decrease in insomnia, whereas CBT-I had a delayed effect on pain, possibly achieved by insomnia improvement.
Photoinduced anisotropic lattice dynamic response and domain formation in thermoelectric SnSe
Authors: Wang Wei , Wu Lijun , Li Junjie , Aryal Niraj , Jin Xilian , Liu Yu , Fedurin Mikhail , Babzien Marcus , Kupfer Rotem , Palmer Mark , Petrovic Cedomir , Yin Weiguo , Dean Mark P. M. , Robinson Ian K. , Tao Jing , Zhu Yimei 
Published: November 2021

AbstractIdentifying and understanding the mechanisms behind strong phonon–phonon scattering in condensed matter systems is critical to maximizing the efficiency of thermoelectric devices. To date, the leading method to address this has been to meticulously survey the full phonon dispersion of the material in order to isolate modes with anomalously large linewidth and temperature-dependence. Here we combine quantitative MeV ultrafast electron diffraction (UED) analysis with Monte Carlo based dynamic diffraction simulation and first-principles calculations to directly unveil the soft, anharmonic lattice distortions of model thermoelectric material SnSe. A small single-crystal sample is photoexcited with ultrafast optical pulses and the soft, anharmonic lattice distortions are isolated using MeV-UED as those associated with long relaxation time and large displacements. We reveal that these modes have interlayer shear strain character, induced mainly by c-axis atomic displacements, resulting in domain formation in the transient state. These findings provide an innovative approach to identify mechanisms for ultralow and anisotropic thermal conductivity and a promising route to optimizing thermoelectric devices.
A single dose, BCG-adjuvanted COVID-19 vaccine provides sterilising immunity against SARS-CoV-2 infection
Authors: Counoupas Claudio , Johansen Matt D. , Stella Alberto O. , Nguyen Duc H. , Ferguson Angela L. , Aggarwal Anupriya , Bhattacharyya Nayan D. , Grey Alice , Hutchings Owen , Patel Karishma , Siddiquee Rezwan , Stewart Erica L. , Feng Carl G. , Hansbro Nicole G. , Palendira Umaimainthan , Steain Megan C. , Saunders Bernadette M. , Low Jason K. K. , Mackay Joel P. , Kelleher Anthony D. , Britton Warwick J. , Turville Stuart G. , Hansbro Philip M. , Triccas James A. 
Published: November 2021

AbstractGlobal control of COVID-19 requires broadly accessible vaccines that are effective against SARS-CoV-2 variants. In this report, we exploit the immunostimulatory properties of bacille Calmette-Guérin (BCG), the existing tuberculosis vaccine, to deliver a vaccination regimen with potent SARS-CoV-2-specific protective immunity. Combination of BCG with a stabilised, trimeric form of SARS-CoV-2 spike antigen promoted rapid development of virus-specific IgG antibodies in the blood of vaccinated mice, that was further augmented by the addition of alum. This vaccine formulation, BCG:CoVac, induced high-titre SARS-CoV-2 neutralising antibodies (NAbs) and Th1-biased cytokine release by vaccine-specific T cells, which correlated with the early emergence of T follicular helper cells in local lymph nodes and heightened levels of antigen-specific plasma B cells after vaccination. Vaccination of K18-hACE2 mice with a single dose of BCG:CoVac almost completely abrogated disease after SARS-CoV-2 challenge, with minimal inflammation and no detectable virus in the lungs of infected animals. Boosting BCG:CoVac-primed mice with a heterologous vaccine further increased SARS-CoV-2-specific antibody responses, which effectively neutralised B.1.1.7 and B.1.351 SARS-CoV-2 variants of concern. These findings demonstrate the potential for BCG-based vaccination to protect against major SARS-CoV-2 variants circulating globally.