bluuebunny/crossref_metadata_2025_split huggingface dataset:
Konzept und Implementierung einer kommunikationsgetriebenen Verwaltungsschale auf effizienten Geräten in Industrie 4.0 Kommunikationssystemen
Authors: Blöcher Immanuel , Althoff Simon , Kobzan Thomas , Hendel Maximilian 
Published: August 2022

ZusammenfassungEin Aspekt von Industrie 4.0 Netzwerken ist die Fusion von OT und IT in ein flexibles, performantes und konvergentes Netzwerk. In zukünftigen Netzwerken verwendete Technologien sind die Spezifikationen der IEEE 802.1 Time-Sensitive Networking Task Group und OPC UA, die in Kombination das Aufbauen von interoperablen Applikationen und den Austausch von Daten unterstützen. Um diese Vorteile nutzen zu können werden Geräte benötigt, die ihre Datenfähigkeiten und -anforderungen mit einer aussagekräftigen Verwaltungsschale repräsentieren. Dieser Beitrag kombiniert die Aspekte von konvergenten Netzen mit Geräten, die bisher in OT Netzwerken betrieben werden. Hauptpunkt ist ein Konzept einer Verwaltungsschale auszuarbeiten und vorzuschlagen, welches die Herausforderungen von IIOT aus einer datengetriebenen Sicht berücksichtigt. Das Konzept beinhaltet eine gemeinsame Schnittstelle für Produktionsgeräte, das Bereitstellen und Anfordern von Daten, zeitsensitive Streams und eine Schnittstelle für netzwerkspezifische Konfiguration. Außerdem wird das Konzept auf einen industriellen Use Case mit den Technologien TSN und OPC UA angewendet. Dafür werden zeitsensitive Geräte mit switched-endpoint Fähigkeiten genutzt. Diese Geräte werden um Funktionalitäten der vorgeschlagenen Verwaltungsschale erweitert, um sie in zukünftigen konvergenten IIOT-Netzen zu nutzen und flexibel Daten auszutauschen.
Pollen Classification Based on Binary 2D Projections of Pollen Grains
Authors: Akcam Halil , Lohweg Volker 
Published: August 2022

AbstractPollen is one of the main causes of allergic diseases in humans. Therefore, it is indispensable to develop and conduct effective treatment and prevention measures. For this purpose, detailed and differentiated information about the respective local exposure profiles for the individual patients is required. The present paper serves the purpose of testing a new approach which aims at detecting and classifying individual pollen grains by using binary 2D projection. This paper explores the question of whether and to what extent a classification of individual pollen grains is possible using this new imaging technology. To this end, using artificial pollen grains, binary 2D projections with different levels of resolution are simulated. To extract the respective features, both shape-based Fourier descriptors and topological features are used. Apart from that, Zernike moments for different orders are measured to extract the respective characteristics of the pollen grains. While the feature selection is conducted by means of a feature forward selection method, a kernel machine (Support Vector Machine) with a Gaussian kernel is used for the classification. First results of the simulation show that with a resolution of 0.1 μm, 100% of the allergologically relevant artificial pollen are classified correctly. Conversely, a lower resolution corresponds with a higher error rate in the classification.
Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking
Authors: Schwan Constanze , Schenck Wolfram 
Published: August 2022

AbstractState-of-the-art methods in image-based robotic grasping use deep convolutional neural networks to determine the robot parameters that maximize the probability of a stable grasp given an image of an object. Despite the high accuracy of these models they are not applied in industrial order picking tasks to date. One of the reasons is the fact that the generation of the training data for these models is expensive. Even though this could be solved by using a physics simulation for training data generation, another even more important reason is that the features that lead to the prediction made by the model are not human-readable. This lack of interpretability is the crucial factor why deep networks are not found in critical industrial applications. In this study we suggest to reformulate the task of robotic grasping as three tasks that are easy to assess from human experience. For each of the three steps we discuss the accuracy and interpretability. We outline how the proposed three-step model can be extended to depth images. Furthermore we discuss how interpretable machine learning models can be chosen for the three steps in order to be applied in a real-world industrial environment.
Procedure for Identifying Defect Inkjet Nozzles
Authors: Schaschek Karl 
Published: August 2022

AbstractIn graphic and industrial printing applications inkjet technologies are gaining attention and market coverage. Beside some key success factors as scalability there is an inherent difficulty of temporally or permanent defective/non operating nozzles. These non working nozzle have a severe impact on printed quality. Several approaches are known to reduce these artefacts. One is to use multi-pass printing, sometimes in combination with the use of defect nozzle information. Another is to detect these nozzles direct or indirect and use for example so called reserve nozzles. A predecessor thereof is the detection of pen lines (Beauchamp et al (1992) Hewlett-Packard J 12:35–41). In multi-nozzle systems individual or groups of nozzles are addressed to fire using a matrix scheme. This method reduces the number of used address lines.Here an automated working scheme is sketched to firstly identify defect nozzles using a sample print by means of a dedicated pattern. A digital picture taken by scan or camera is the basis of an image analysis procedure afterwards. Secondly it is shown that, once the matrix configuration is known, possible defects of the address lines may be identified too. Finally a pattern dedicated to a specific print head is introduced to check the later fact visually.
Device Management in Industrial IoT
Authors: Braunisch Nico , Olaya Santiago Soler Perez , Wollschlaeger Martin 
Published: August 2022

ZusammenfassungDas Internet der Dinge (engl. Internet of Things) breitet sich immer weiter aus. Im Konsumenten- und Heimbereich ist das Thema Internet of Things kurz IoT, bereits weit verbreitet. Auerhalb dieser etablierten Bereiche wird das Thema in der Industrie unter dem Schlagwort Industrial Internet of Things immer relevanter. Dabei gibt es auf die Frage, wie die groe Anzahl an Gerten verwaltet werden soll, noch keine klare Antwort. In der vorliegenden Arbeit wird der aktuelle Stand der Technik im Bereich (Industrial) Internet of Things und Management von IoT Gerten vorgestellt. Die spezifischen Anforderungen an das Gertemanagement werden erhoben und analysiert. Weiter werden Protokolle, Frameworks, Software, Suiten und Plattformen zur Verwaltung von IoT Gerten vorgestellt und evaluiert.
Plug and Work with OPC UA at the Field Level: Integration of Low-Level Devices
Authors: Büchter Marvin , Wolf Sebastian 
Published: August 2022

AbstractThe integration of Open Platform Communications Unified Architecture into the field level holds potential to reduce manual configuration efforts by consistent information modelling and a uniform communication protocol. This paper discusses initiatives that are active in this context and reflects the status of the current specification work. The review focuses on the achievability of Quality of Service requirements, the adaption of established automation system concepts and the introduction of new concepts for automation systems at the field level. Using a remote input/output application as an example, we investigate the impact of new concepts for low-level system engineering. It is shown that besides a possible reduction of configuration steps, a loose coupling between the automation application, the used network infrastructure and the used devices can be achieved.
Towards Real-Time Human-Machine Interfaces for Robot Cells Using Open Standard Web Technologies
Authors: Christmann Simon , Löhr Marvin , Busboom Imke , Feige Volker K. S. , Haehnel Hartmut 
Published: August 2022

AbstractScreen-based human-machine interfaces are one of the most important elements of industrial automation technologies since modern production lines became too complex to be controlled by a simple start/stop button. While web-based user interfaces have been used in non-industrial areas for many years, they have only been used in industrial applications since the beginning of the Industry 4.0 movement. However, commercially available solutions do not yet have the intuitive operation that customers from non-industrial sectors are accustomed to. In this work, we present a proof-of-concept development that aims to create an intuitive web-based user interface for displaying robot movements. The robot is displayed in a WebGL-based visualization, which also allows user interaction. The user interface is created purely from open standard web technologies so that it works without plugins and is immediately usable in all modern browsers.
Interoperabilität von Cyber Physical Systems
Authors: Diedrich Ch. , Schröder T. , Belyaev Alexander 
Published: August 2022

AbstractSmart Manufacturing stellt neue Anforderungen an die Interaktion zwischen den Komponenten. Machine-to-Machine-Kommunikation (M2M), Cyber-Physical (Production) -Systeme (CP (P) S), Industrial Internet of Things (IIoT) sind die Schlüsselwörter hinter diesen Themen. Allen gemeinsam ist, dass Daten zwischen den Systemen transportiert werden und dass sie gegenseitig verstanden werden müssen. Dies wird häufig mit dem Begriff „Interoperabilität “bezeichnet. Unabhängig von den verwendeten Kommunikations- und Middleware-Technologien müssen die Daten in den Diensten identifiziert und hinsichtlich ihrer Bedeutung erkannt werden. Dies ist eine Herausforderung, da die Interoperabilität während des gesamten Lebenszyklus der Komponenten, Maschinen und Anlagen funktionieren muss, auch wenn unterschiedliche Kommunikations- und Middleware-Technologien verwendet werden. In diesem Artikel wird der Begriff Interoperabilität daher in verschiedene Ebenen unterteilt. Basierend auf den Schichten werden die Hauptmerkmale der Interoperabilität diskutiert. Das Asset Administration Shell (AAS)-Konzept der Industrie 4.0-Initiative wird in Kürze eingeführt, da es mögliche Lösungen für den lebenszyklusübergreifenden Einsatz identifiziert. Außerdem wird eine Zuordnung häufig verwendeter Technologien zu den Interoperabilitätsschichten und deren Beziehung zum AAS bereitgestellt.
Standard model anomalies: lepton flavour non-universality, g − 2 and W-mass
Authors: D’Alise Alessandra , De Nardo Guglielmo , Di Luca Maria Grazia , Fabiano Giuseppe , Frattulillo Domenico , Gaudino Giovanni , Iacobacci Davide , Merola Mario , Sannino Francesco , Santorelli Pietro , Vignaroli Natascia 
Published: August 2022

Abstract
We critically analyze the body of results that hints to the existence of New Physics from possible violations of lepton universality observed by the LHCb experiment in the μ/e ratios RK and $$ {R}_{K^{\ast }} $$

R

K
∗

to the g − 2 lepton anomalies. The analysis begins with a theoretical, in depth, study of the μ/e ratios RK and $$ {R}_{K^{\ast }} $$

R

K
∗

as well as the process Bs→ μ+μ−. Here we consider the impact of complex Wilson coefficients and derive constraints on their imaginary and real parts. We then move to a comprehensive comparison with experimental results. We show that, by fitting a single Wilson coefficient, the deviations from the Standard Model are at the 4.7σ level when including only the hadronic insensitive observables while it increases to 6.1σ when including also the hadronic sensitive ones. When switching on all relevant Wilson coefficients and combining both hadronic sensitive and insensitive data into the fit, the deviation from the Standard Model peaks at 7.2σ and decreases at the 4.9σ level if we assume that the central values of RK and $$ {R}_K^{\ast } $$

R
K
∗

are taken to be unity. We further estimate other unaccounted for SM contributions and show that their inclusion still requires New Physics to fit the data. We then introduce the g − 2 lepton anomalies as well as the most recent W-mass results. Different theoretical models are considered that can explain the discrepancies from the Standard Model. In the final part of our work we estimate the impact of the forthcoming data from LHCb (coming from LHC Run3) and Belle II, when it will have accumulated about 5 ab−1.
Axion effective action
Authors: Quevillon Jérémie , Smith Christopher , Vuong Pham Ngoc Hoa 
Published: August 2022

Abstract
In this paper, we discuss the construction of Effective Field Theories (EFTs) in which a chiral fermion, charged under both gauge and global symmetries, is integrated out. Inspired by typical axion models, these symmetries can be spontaneously broken, and the global ones might also be anomalous. In this context, particular emphasis is laid on the derivative couplings of the Goldstone bosons to the fermions, as these lead to severe divergences and ambiguities when building the EFT. We show how to precisely solve these difficulties within the path integral formalism, by adapting the anomalous Ward identities to the EFT context. Our results are very generic, and when applied to axion models, they reproduce the non-intuitive couplings between the massive SM gauge fields and the axion. Altogether, this provides an efficient formalism, paving the way for a systematic and consistent methodology to build entire EFTs involving anomalous symmetries, as required for axion or ALP searches.
Study on microstructure evolution and mechanical properties of high-strength low-alloy steel welds realized by flash butt welding thermomechanical simulation
Authors: Wang Jun , Lu Yao , Han Jian , Qi Jianjun , Sun Li , Jiang Zhengyi , Ma Cheng , Linton Valerie 
Published: August 2022

Abstract
Defects would occur in the weld joint of the wheel rims during the post-flash butt welding (FBW) process suffering from poor plasticity, which will deteriorate the quality and lifecycle of finish products. Therefore, the FBW process of the 440CL high-strength-low-alloy (HSLA) steel was physically simulated and the influence of flash parameters on FBW joints was systematically evaluated in this study. The results showed that the width of heat affected zone increased with accumulated flash allowance (δf) while declined with accelerated flash speed (vf). The recrystallization level would be intensified with increased δf. Meanwhile, the acceleration in vf populated the WZ with a more homogeneous microstructure, higher recrystallization degree and lower dislocation density. The hardness in WZ slightly reduced (202 → 195 HV) as increased δf but obviously dropped (192 → 177 HV) as increased vf. All tensile samples were fractured at the BM location and the tensile properties of FBW joints exhibit a good match with those of BM, with a slight increase in strength (UTS: 468 ~ 493 MPa; YS: 370 ~ 403 MPa) but a mild decrease in plasticity (EL: 39 ~ 44%; RA: 74 ~ 79%). Furthermore, both the joint strength and ductility showed a downward tendency with the increment of δf. However, the strength slightly decreased while the ductility increased with the advancement of vf. These findings would be valuably referential to the real FBW of HSLA steels with optimized microstructure and mechanical performance.
Invariant NKT cells metabolically adapt to the acute myeloid leukaemia environment
Authors: Stavrou Victoria , Fultang Livingstone , Booth Sarah , De Simone Daniele , Bartnik Arekdiusz , Scarpa Ugo , Gneo Luciana , Panetti Silvia , Potluri Sandeep , Almowaled Meaad , Barlow Jonathan , Jankevics Andris , Lloyd Gavin , Southam Andrew , Priestman David A. , Cheng Paul , Dunn Warwick , Platt Frances , Endou Hitoshi , Craddock Charles , Keeshan Karen , Mussai Francis , De Santo Carmela 
Published: August 2022

AbstractAcute myeloid leukaemia (AML) creates an immunosuppressive environment to conventional T cells through Arginase 2 (ARG2)-induced arginine depletion. We identify that AML blasts release the acute phase protein serum amyloid A (SAA), which acts in an autocrine manner to upregulate ARG2 expression and activity, and promote AML blast viability. Following in vitro cross-talk invariant natural killer T (iNKT) cells become activated, upregulate mitochondrial capacity, and release IFN-γ. iNKT retain their ability to proliferate and be activated despite the low arginine AML environment, due to the upregulation of Large Neutral Amino Acid Transporter-1 (LAT-1) and Argininosuccinate Synthetase 1 (ASS)-dependent amino acid pathways, resulting in AML cell death. T cell proliferation is restored in vitro and in vivo. The capacity of iNKT cells to restore antigen-specific T cell immunity was similarly demonstrated against myeloid-derived suppressor cells (MDSCs) in wild-type and Jα18−/− syngeneic lymphoma-bearing models in vivo. Thus, stimulation of iNKT cell activity has the potential as an immunotherapy against AML or as an adjunct to boost antigen-specific T cell immunotherapies in haematological or solid cancers.
Effects of meteorological and land surface modeling uncertainty on errors in winegrape ET calculated with SIMS
Authors: Doherty Conor T. , Johnson Lee F. , Volk John , Mauter Meagan S. , Bambach Nicolas , McElrone Andrew J. , Alfieri Joseph G. , Hipps Lawrence E. , Prueger John H. , Castro Sebastian J. , Alsina Maria Mar , Kustas William P. , Melton Forrest S. 
Published: August 2022

AbstractCharacterization of model errors is important when applying satellite-driven evapotranspiration (ET) models to water resource management problems. This study examines how uncertainty in meteorological forcing data and land surface modeling propagate through to errors in final ET data calculated using the Satellite Irrigation Management Support (SIMS) model, a computationally efficient ET model driven with satellite surface reflectance values. The model is applied to three instrumented winegrape vineyards over the 2017–2020 time period and the spatial and temporal variation in errors are analyzed. We illustrate how meteorological data inputs can introduce biases that vary in space and at seasonal timescales, but that can persist from year to year. We also observe that errors in SIMS estimates of land surface conductance can have a particularly strong dependence on time of year. Overall, meteorological inputs introduced RMSE of 0.33–0.65 mm/day (7–27%) across sites, while SIMS introduced RMSE of 0.55–0.83 mm/day (19–24%). The relative error contribution from meteorological inputs versus SIMS varied across sites; errors from SIMS were larger at one site, errors from meteorological inputs were larger at a second site, and the error contributions were of equal magnitude at the third site. The similar magnitude of error contributions is significant given that many satellite-driven ET models differ in their approaches to estimating land surface conductance, but often rely on similar or identical meteorological forcing data. The finding is particularly notable given that SIMS makes assumptions about the land surface (no soil evaporation or plant water stress) that do not always hold in practice. The results of this study show that improving SIMS by eliminating these assumptions would result in meteorological inputs dominating the error budget of the model on the whole. This finding underscores the need for further work on characterizing spatial uncertainty in the meteorological forcing of ET.
Recirculating hyperthermic intravesical chemotherapy with mitomycin C (HIVEC) versus BCG in high-risk non-muscle-invasive bladder cancer: results of the HIVEC-HR randomized clinical trial
Authors: Guerrero-Ramos Félix , González-Padilla Daniel A. , González-Díaz Alejandro , de la Rosa-Kehrmann Federico , Rodríguez-Antolín Alfredo , Inman Brant A. , Villacampa-Aubá Felipe 
Published: August 2022

Abstract
Purpose
The purpose of the study was to compare the outcomes of high-risk non-muscle-invasive bladder cancer (HR-NMIBC) patients treated with BCG vs recirculating hyperthermic intravesical chemotherapy (HIVEC) with mitomycin C (MMC).

Methods
A pilot phase II randomized clinical trial was conducted including HR-NMIBC patients, excluding carcinoma in situ. Patients were randomized 1:1 to receive intravesical BCG for 1 year (once weekly for 6 weeks plus subsequent maintenance) or HIVEC with 40 mg MMC, administered using the Combat BRS system (once weekly instillations were given for 6 weeks, followed by once monthly instillation for 6 months). Total recirculating dwell time for HIVEC was 60 min at a target temperature of 43° ± 0.5 °C. Primary endpoint was recurrence-free survival. Secondary endpoints were time to recurrence, progression-free survival, cancer-specific survival, and overall survival at 24 months. Adverse events were routinely assessed.

Results
Fifty patients were enrolled. Mean age was 73.5 years. Median follow-up was 33.7 months. Recurrence-free survival at 24 months was 86.5% for HIVEC and 71.8% for BCG (p = 0.184) in the intention-to-treat analysis and 95.0% for HIVEC and 75.1% for BCG (p = 0.064) in the per protocol analysis. Time to recurrence was 21.5 and 16.1 months for HIVEC and BCG, respectively. Progression-free survival for HIVEC vs BCG was 95.7% vs 71.8% (p = 0.043) in the intention-to-treat analysis and 100% vs 75.1% (p = 0.018) in the per protocol analysis, respectively. Cancer-specific survival at 24 months was 100% for both groups and overall survival was 91.5% for HIVEC vs 81.8% for BCG.

Conclusion
HIVEC provides comparable safety and efficacy to BCG and is a reasonable alternative during BCG shortages.

Trial registration
EudraCT 2016-001186-85. Date of registration: 17 March 2016.
Bent functions in the partial spread class generated by linear recurring sequences
Authors: Gadouleau Maximilien , Mariot Luca , Picek Stjepan 
Published: August 2022

AbstractWe present a construction of partial spread bent functions using subspaces generated by linear recurring sequences (LRS). We first show that the kernels of the linear mappings defined by two LRS have a trivial intersection if and only if their feedback polynomials are relatively prime. Then, we characterize the appropriate parameters for a family of pairwise coprime polynomials to generate a partial spread required for the support of a bent function, showing that such families exist if and only if the degrees of the underlying polynomials are either 1 or 2. We then count the resulting sets of polynomials and prove that, for degree 1, our LRS construction coincides with the Desarguesian partial spread. Finally, we perform a computer search of all $$\mathcal{PS}\mathcal{}^-$$

PS

-

and $$\mathcal{PS}\mathcal{}^+$$

PS

+

bent functions of $$n=8$$

n
=
8

variables generated by our construction and compute their 2-ranks. The results show that many of these functions defined by polynomials of degree $$d=2$$

d
=
2

are not EA-equivalent to any Maiorana–McFarland or Desarguesian partial spread function.