bluuebunny/crossref_metadata_2025_split huggingface dataset:
Finite‐level uniformly quantized learning control with random data dropouts
Authors: Huo Niu , Jiang Hao , Shen Dong , Wang Jinrong 
Published: September 2022

AbstractIn this study, a quantized iterative learning control method with an encoding–decoding mechanism is investigated for networked control systems with constrained transmission bandwidths and random data dropouts at both the measurement and actuator sides. The intermittent update principle is used to address the problem of data asynchronism caused by two‐sided data dropouts. Then, a new “process” concept is introduced for the convergence analysis. The input sequence is guaranteed to achieve asymptotic zero‐error convergence to the unknown desired input for the given reference through an appropriate selection of scaling sequences. Furthermore, the quantization errors are shown bounded, where the upper bounds of the quantization level are precisely determined for selecting a finite‐level uniform quantizer. To verify the proposed scheme, an example of a permanent magnet linear motor is simulated.
Protective effect of wogonin on inflammatory responses in BisGMA‐treated macrophages through the inhibition of MAPK and NFκB pathways
Authors: Yang Li‐Chiu , Chang Yu‐Chao , Chiang Chen‐Yu , Huang Fu‐Mei , Su Ni‐Yu , Kuan Yu‐Hsiang 
Published: September 2022

AbstractComposites, resins, and sealants that are commonly used in orthopedics and dentistry are based on 2,2‐bis[p‐(2′‐hydroxy‐3′‐methacryloxypropoxy)phenylene]propane (BisGMA), which induces proinflammatory responses in macrophages. The present study aimed to explore the anti‐inflammatory responses of wogonin, which is a natural dihydroxyl flavonoid compound, in BisGMA‐treated macrophages. According to the findings, wogonin exhibits anti‐inflammatory, antiallergic, anticancer, and antioxidative properties. The generation of nitric oxide (NO) and the expression of inducible nitric oxide synthase (iNOS) were noted to be inhibited by wogonin in BisGMA‐treated macrophages. Furthermore, the production of proinflammatory cytokines including tumor necrosis factor (TNF)‐α, interleukin (IL)‐1β, and IL‐6 was reduced. In addition, BisGMA‐induced nuclear factor (NF)‐κB p65 phosphorylation and inhibitor of κB (IκB) degradation were inhibited. Finally, the BisGMA‐induced phosphorylation of mitogen‐activated protein kinases (MAPKs), including p38 MAPK, extracellular signal‐regulated kinase (ERK), c‐Jun N‐terminal kinase (JNK) was inhibited. All these effects were induced by wogonin in the macrophages in a concentration‐dependent manner. Similar inhibitory effects of wogonin were observed on the production of NO and proinflammatory cytokines, expression of iNOS, phosphorylation of NF‐κB p65 and MAPK, and degradation of IκB. These results indicated that rutin is a potential anti‐inflammatory agent for BisGMA‐treated macrophages that undergo NFκB p65 phosphorylation and IκB degradation through upstream MAPK phosphorylation. Therefore, wogonin inhibits BisGMA‐induced proinflammatory responses in macrophages through the regulation of the NFκB pathway and its upstream factor, MAPK.
Cross‐sectional study of primary antimicrobial treatment and vaccination coverage in outbreaks of bovine respiratory disease on dairy and beef farms in northern Belgium
Authors: Lowie Thomas , Hanley‐Cook Giles , Callens Jozefien , Maris Jo , Pardon Bart 
Published: September 2022

AbstractBackgroundTo what extent veterinarians active in the dairy or beef sector follow the antimicrobial therapy guidelines made available in different European countries for bovine respiratory disease (BRD) outbreaks, and whether differences in therapeutic or preventive preferences for BRD management exist, is currently unknown. Therefore, the objectives of this cross‐sectional study were to compare vaccination coverage and primary antimicrobial and anti‐inflammatory treatment on dairy, beef and mixed‐breed farms in northern Belgium, and determine their compliance with the recommendations made by the Belgian formulary.MethodsInformation on antimicrobial and anti‐inflammatory drug use and vaccination coverage from 190 BRD outbreaks in 180 herds, submitted by 101 veterinarians, was analysed. Multivariable linear probability models, adjusted for clustering at the veterinarian level, were used to determine differences between dairy and beef farms.ResultsAntimicrobials and non‐steroidal anti‐inflammatory drugs (NSAIDs) were used in 93.5% and 81.7% of the BRD outbreaks, respectively. First‐line antimicrobials were used as primary treatment in only 42.3%, 50.9% and 38.6% of dairy, beef and mixed‐breed farms, respectively. Significant differences (p < 0.05) were observed between dairy and beef farms in terms of use of long‐acting macrolides (–17.2 percentage points [pp]; 95% confidence interval [CI]: –31.9, –2.5), steroidal anti‐inflammatory drugs (15.2 pp; CI: 0.5, 29.8) and vaccination coverage (bovine respiratory syncytial virus, parainfluenza virus type 3 [33.1 pp; Cl: 15.7–50.6] and Mannheimia haemolytica [23.1 pp; Cl: 3.4–39.8]).LimitationsThe herds that participated in this study were likely among the more motivated regarding BRD control. As such, the information on vaccination coverage is likely not entirely representative of herds in the study area. Interpretation is further complicated by the fact that vaccinated herds were potentially less likely to face a BRD outbreak and therefore participate in the current study.ConclusionThis study reveals differences in the primary use of (N)SAIDs, type of antimicrobials used and vaccination coverage on beef and dairy farms in the study region, and also differences in the appropriateness of antimicrobial selection based on the Belgian formulary.
Rethinking Competencies in Hazardous Industries
Authors: Largier Alexandre 
Published: September 2022

AbstractNuclear safety depends largely on the competence and competencies of the employees in the sector. While this is not a new subject, numerous current and future changes once again bring into question these competencies and their management. In recent years, a number of studies have demonstrated the limitations of the managerial approach to competencies, in particular their failure to take into account the collective dimension of said competencies and the contextual aspects of their implementation. In our opinion, competencies must be considered in terms of the work activity so that they are not restricted to a systematised formalism, and their management must be tackled within the organised framework in which they are deployed.
Issues to Consider as a CCI and Learning Technology Researcher
Authors: Giannakos Michail 
Published: September 2022

AbstractIn this chapter, we present three topics that are of great importance to CCI and learning technology researchers. The first topic is concerned with the role of “context” in experimental studies, and CCI and learning technology in general. The second topic is concerned with the ethical considerations in experimentation in human-factors IT-related research. The third topic focuses on researchers conducting experimental studies with children, and the need to employ different methods, approaches, and techniques. Although those are the three topics I decided to include in this book, I also believe that additional topics can complement this list.
Learning Technology and Child–Computer Interaction
Authors: Giannakos Michail 
Published: September 2022

AbstractLearning technology research focuses on the design, development, and/or use of technologies that support learning, whereas CCI research focuses on the design, development, and/or use of technologies that support children’s lives (with a heavy emphasis on learning). Therefore, learning technology and CCI research can be described as research that focuses on the design, development, and/or use of technologies that support learning and/or children’s lives. In this chapter, we provide an introduction to CCI and learning technologies as interdisciplinary fields of research, provide good working definitions and discuss their commonalities, synergies, and complementarities.
Erklärungsgegenstand: Ideologie-basierte Gewalt
Authors: Lohmann Marco-Thejesh 
Published: September 2022

ZusammenfassungGegenstandsbereich des vorliegenden Erklärungsmodells sind lebensbedrohliche Gewalthandlungen in Westeuropa, die auf dem gewaltbereiten Islamismus basieren. Zur genaueren Eingrenzung des Erklärungsgegenstandes sollen zum einen der Phänomenbereich Islamismus definiert und die Merkmale von Ideologien, die unter diese Extremismusform fallen, beleuchtet werden. Zum anderen werden die unterschiedlichen Deliktformen, die zur Kategorie islamistischer Gewalttaten in Westeuropa zu zählen sind, beschrieben.
Bisherige Theorien zur Erklärung islamistischer Gewalt
Authors: Lohmann Marco-Thejesh 
Published: September 2022

ZusammenfassungEs gibt eine Vielzahl von Theorien und Erklärungsmodellen, die versuchen, die Begehung islamistischer Gewalthandlungen in Westeuropa zu begründen. In diesem Kapitel soll eine Auswahl von Erklärungsansätzen vorgestellt werden, die besonders häufig in der Literatur Erwähnung finden. Der Fokus richtet sich dabei vor allem darauf, ob diese Ansätze die in Kapitel 3 erwähnten Herausforderungen und Anforderungen für eine adäquate Erklärung erfüllen. Die Betrachtung offenbart, dass es Defizite insbesondere dann gibt, wenn es darum geht zu erklären, wann es zu einer konkreten Gewalttat kommt.
Zusammenfassung und Schlussfolgerungen
Authors: Lohmann Marco-Thejesh 
Published: September 2022

ZusammenfassungIn diesem abschließenden Kapitel werden die wesentlichen Punkte des Erklärungsmodells und der Studie noch einmal kurz zusammengefasst sowie Schlussfolgerungen aus den Ergebnissen der Untersuchung gezogen. Dabei soll ein besonderer Fokus auf potentiellen Erkenntnissen der Arbeit für die weitere Theoriebildung in diesem Gegenstandsbereich, für folgende Forschungen sowie für Möglichkeiten zur Verhinderung von künftigen Anschlägen liegen.
Chaotic spin chains in AdS/CFT
Authors: McLoughlin Tristan , Spiering Anne 
Published: September 2022

Abstract
We consider the spectrum of anomalous dimensions in planar $$ \mathcal{N} $$
N
= 4 supersymmetric Yang-Mills theory and its $$ \mathcal{N} $$
N
= 1 super-conformal Leigh-Strassler deformations. The two-loop truncation of the integrable $$ \mathcal{N} $$
N
= 4 dilatation operator in the SU(2) sector, which is a next-to-nearest-neighbour deformation of the XXX spin chain, is not strictly integrable at finite coupling and we show that it indeed has Wigner-Dyson level statistics. However, we find that it is only weakly chaotic in the sense that the cross-over to chaotic dynamics is slower than for generic chaotic systems.For the Leigh-Strassler deformed theory with generic parameters, we show that the one-loop dilatation operator in the SU(3) sector is chaotic, with a spectrum that is well described by GUE Random Matrix Theory. For the imaginary-β deformation, the statistics are GOE and the transition from the integrable limit is that of a generic system. This provides a weak-coupling analogue of the chaotic dynamics seen for classical strings in the dual background.We further study the spin chains in the semi-classical limit described by generalised Landau-Lifshitz models, which are also known to describe large-angular-momentum string solutions in the dual theory. We show that for the higher-derivative theory following from the two-loop $$ \mathcal{N} $$
N
= 4 SU(2) spin chain, the maximal Lyapunov exponent is close to zero, consistent with the absence of chaotic dynamics. For the imaginary-β SU(3) theory, the resulting Landau-Lifshitz model has classically chaotic dynamics at finite values of the deformation parameter.
The gauging procedure and carrollian gravity
Authors: Figueroa-O’Farrill José , Have Emil , Prohazka Stefan , Salzer Jakob 
Published: September 2022

Abstract
We discuss a gauging procedure that allows us to construct lagrangians that dictate the dynamics of an underlying Cartan geometry. In a sense to be made precise in the paper, the starting datum in the gauging procedure is a Klein pair corresponding to a homogeneous space. What the gauging procedure amounts to is the construction of a Cartan geometry modelled on that Klein geometry, with the gauge field defining a Cartan connection. The lagrangian itself consists of all gauge-invariant top-forms constructed from the Cartan connection and its curvature. After demonstrating that this procedure produces four-dimensional General Relativity upon gauging Minkowski spacetime, we proceed to gauge all four-dimensional maximally symmetric carrollian spaces: Carroll, (anti-)de Sitter-Carroll and the lightcone. For the first three of these spaces, our lagrangians generalise earlier first-order lagrangians. The resulting theories of carrollian gravity all take the same form, which seems to be a manifestation of model mutation at the level of the lagrangians. The odd one out, the lightcone, is not reductive and this means that although the equations of motion take the same form as in the other cases, the geometric interpretation is different. For all carrollian theories of gravity we obtain analogues of the Gauss-Bonnet, Pontryagin and Nieh-Yan topological terms, as well as two additional terms that are intrinsically carrollian and seem to have no lorentzian counterpart. Since we gauge the theories from scratch this work also provides a no-go result for the electric carrollian theory in a first-order formulation.
Behavioral and neurochemical interactions of the tricyclic antidepressant drug desipramine with L-DOPA in 6-OHDA-lesioned rats. Implications for motor and psychiatric functions in Parkinson’s disease
Authors: Kamińska Kinga , Lenda Tomasz , Konieczny Jolanta , Lorenc-Koci Elżbieta 
Published: September 2022

Abstract
Rationale
The pharmacological effects of antidepressants in modulating noradrenergic transmission as compared to serotonergic transmission in a rat model of Parkinson’s disease under chronic L-DOPA therapy are insufficiently explored.

Objectives
The aim of the present study was to investigate the effect of the tricyclic antidepressant desipramine administered chronically alone or jointly with L-DOPA, on motor behavior and monoamine metabolism in selected brain structures of rats with the unilateral 6-OHDA lesion.

Methods
The antiparkinsonian activities of L-DOPA and desipramine were assessed behaviorally using a rotation test and biochemically based on changes in the tissue concentrations of noradrenaline, dopamine and serotonin and their metabolites, evaluated separately for the ipsi- and contralateral motor (striatum, substantia nigra) and limbic (prefrontal cortex, hippocampus) structures of rat brain by HPLC method.

Results
Desipramine administered alone did not induce rotational behavior, but in combination with L-DOPA, it increased the number of contralateral rotations more strongly than L-DOPA alone. Both L-DOPA and desipramine + L-DOPA significantly increased DA levels in the ipsilateral striatum, substantia nigra, prefrontal cortex and the ipsi- and contralateral hippocampus. The combined treatment also significantly increased noradrenaline content in the ipsi- and contralateral striatum, while L-DOPA alone decreased serotonin level on both sides of the hippocampus.

Conclusions
The performed analysis of the level of monoamines and their metabolites in the selected brain structures suggests that co-modulation of noradrenergic and dopaminergic transmission in Parkinson’s disease by the combined therapy with desipramine + L-DOPA may have some positive implications for motor and psychiatric functions but further research is needed to exclude potential negative effects.
Bayesian inference of multivariate-GARCH-BEKK models
Authors: Livingston G. C. , Nur Darfiana 
Published: September 2022

AbstractThe main aim of this paper is to present a Bayesian analysis of Multivariate GARCH(l, m) (M-GARCH) models including estimation of the coefficient parameters as well as the model order, by combining a set of existing MCMC algorithms in the literature. The proposed algorithm focuses on the BEKK formulation of the multivariate GARCH model. The estimation procedure will be designed as a custom MCMC with embedded Reversible Jump MCMC (RJMCMC) and Delayed Rejection Metropolis-Hastings (DRMH) steps implemented using the statistical software R. The RJMCMC steps allow three variants of BEKK models (constant, diagonal and full) to be indexed and this index included as a parameter to be estimated. The proposed MCMC algorithms are validated using extensive simulation experiments followed by a case study using bivariate data derived from the daily share prices for BHP Group Limited, Rio Tinto Group, and Fortescue Metals Group Limited on the ASX over from September 2013 to December 2021.
Local Criteria for Triangulating General Manifolds
Authors: Boissonnat Jean-Daniel , Dyer Ramsay , Ghosh Arijit , Wintraecken Mathijs 
Published: September 2022

AbstractWe present criteria for establishing a triangulation of a manifold. Given a manifold M, a simplicial complex $${\mathscr {A}}$$
A
, and a map H from the underlying space of $${\mathscr {A}}$$
A
to M, our criteria are presented in local coordinate charts for M, and ensure that H is a homeomorphism.

These criteria do not require a differentiable structure, or even an explicit metric on M. No Delaunay property of $${\mathscr {A}}$$
A
is assumed. The result provides a triangulation guarantee for algorithms that construct a simplicial complex by working in local coordinate patches. Because the criteria are easily verified in such a setting, they are expected to be of general use.
Permeability of the weathered bedrock aquifers in Uganda: evidence from a large pumping-test dataset and its implications for rural water supply
Authors: Owor Michael , Okullo Joseph , Fallas Helen , MacDonald Alan M. , Taylor Richard , MacAllister Donald John 
Published: September 2022

AbstractWeathered crystalline-rock aquifers underlie around 40% of sub-Saharan Africa providing water supplies for half of its rural population; they are also prevalent across the tropics. The hydrogeology of these aquifers is complex and better understanding of the controls to aquifer transmissivity, alongside accurate borehole siting and appropriate design, is pivotal to the long-term performance and sustainability of water services in many countries. This study examines a substantial new dataset (n = 655) of aquifer transmissivity values across Uganda derived from previously unanalyzed pumping-test data. These data provide important new insights: weathered crystalline-rock aquifers are distinguished by pervasively low transmissivities (median <2 m2/d) in comparison to other areas in the tropics; highest transmissivities are observed in boreholes <50 m deep, implying that drilling deeper boreholes does not typically improve supply success or sustainability in Uganda; and increased groundwater abstraction through the use of higher-yielding pump technologies will prove challenging in most areas of Uganda and limit their use for piped water supplies. This study highlights the scientific value of data held in drillers’ records, which remain unanalyzed in many countries but may provide useful insight and understanding of aquifer characteristics.
On the use of the descriptive variable for enhancing the aggregation of crowdsourced labels
Authors: Beñaran-Muñoz Iker , Hernández-González Jerónimo , Pérez Aritz 
Published: September 2022

AbstractThe use of crowdsourcing for annotating data has become a popular and cheap alternative to expert labelling. As a consequence, an aggregation task is required to combine the different labels provided and agree on a single one per example. Most aggregation techniques, including the simple and robust majority voting—to select the label with the largest number of votes—disregard the descriptive information provided by the explanatory variable. In this paper, we propose domain-aware voting, an extension of majority voting which incorporates the descriptive variable and the rest of the instances of the dataset for aggregating the label of every instance. The experimental results with simulated and real-world crowdsourced data suggest that domain-aware voting is a competitive alternative to majority voting, especially when a part of the dataset is unlabelled. We elaborate on practical criteria for the use of domain-aware voting.
A study of equatorial plasma bubble structure using VHF radar and GNSS scintillations over the low-latitude regions
Authors: Bumrungkit Acharaporn , Supnithi Pornchai , Saito Susumu , Myint Lin Min Min 
Published: September 2022

AbstractIonospheric irregularities can cause detrimental effects on the global navigation satellite system (GNSS) signals, often in the form of rapid fluctuations in both amplitude and phase. Over the low-latitude regions, the equatorial plasma bubble (EPB) frequently arises after sunset, leading to GNSS scintillations since the signals propagate through ionospheric irregularities. The relationship between amplitude ionospheric scintillations (S4 index) on GNSS signals and EPB characteristics is presented. We investigate the geometrical relationship between backscatter echoes associated with the EPB and the multi-constellation and multi-frequency scintillations, specifically, GPS and Galileo constellations with L1/E1 and L5/E5a signals. By analyzing the GNSS scintillations along the GNSS signal paths, the GNSS ionospheric pierce points (IPPs) are mapped with S4 index at different altitudes and projected along the magnetic field line together with the backscatter echoes at the equatorial atmosphere radar (EAR), West Sumatra, Indonesia. Our results are obtained for moderate scintillation cases due to limited data available for this study. The results show the EPB impact ionospheric scintillations. The S4 index on the L5/E5a signal is more susceptible to scintillations than the L1/E1 signal. Moreover, we found a high correlation between EAR backscatter echoes and S4 values on both L1/E1 and L5/E5a at an altitude between 250 and 350 km, indicating that the EPB occurs on the bottomside of the ionosphere.
A flocculation tensor to monitor water quality using a deep learning model
Authors: Zhu Guocheng , Lin Jialin , Fang Haiquan , Yuan Fang , Li Xiaoshang , Yuan Cheng , Hursthouse Andrew S. 
Published: September 2022

AbstractThe increasing quantities of polluted waters are calling for advanced purification methods. Flocculation is an essential component of the water purification process, yet flocculation is commonly not optimal due to our poor understanding of the flocculation process. In particular, there is little knowledge on the mechanisms ruling the migration of pollutants during treatment. Here we have created the first tensor diagram, a mathematical framework for the flocculation process, analyzed its properties with a deep learning model, and developed a classification scheme for its relationship with pollutants. The tensor was constructed by combining pixel matrices from a variety of floc images, each with a particular flocculation period. Changing the factors used to make flocs images, such as coagulant dose and pH, resulted in tensors, which were used to generate matrices, that is the tensor diagram. Our deep learning algorithm employed a tensor diagram to identify pollution levels. Results show tensor map attributes with over 98% of sample images correctly classified. This approach offers potential to reduce the time delay of feedback from the flocculation process with deep learning categorization based on its clustering capabilities. The advantage of the tensor data from the flocculation process improves the efficiency and speed of response for commercial water treatment.