bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a Holistic Framework for Identifying Energy Efficiency Potentials of Production Machines
Authors: Ioshchikhes Borys , Piendl Daniel , Schmitz Henrik , Heiland Jasper , Weigold Matthias 
Published: April 2023

AbstractA prerequisite to identify energy efficiency potentials and to improve energy efficiency is the measurement and analysis of the energy demand. However, in industrial practice, approaches to identify energy efficiency measures of production machines are associated with high costs for metering equipment and time consuming analysis requiring expertise. Against this background, this paper describes a comprehensive and cost-efficient framework from acquisition to analysis of energy data to serve as a starting point to increase energy efficiency in manufacturing. For this purpose, an energy transparency and analysis system is being developed that can measure, record and analyze electrical quantities. The validity of the data acquisition can be verified by utilizing a Raspberry Pi as a low-cost edge analyzer device. Measurement data is stored with associated metadata in a SQLite database for subsequent processing in a Python-based web application, in which machine learning algorithms can be deployed. The algorithms can be used to process vast amounts of data and to provide a basis for calculating energy performance indicators to reveal energy efficiency potentials. The overall workflow is validated using a lathe and a cleaning machine within the ETA Research Factory at the Technical University of Darmstadt.
Industrial Digital Twin in Industry 4.0: Enabling Service Exchange Between Assets in Manufacturing Systems
Authors: van Erp Tim , Pedersen Frederik Bredahl , Larsen Niels Peter Lamm , Lund Rasmus Bæk 
Published: April 2023

AbstractThe idea of the Asset Administration Shell (AAS) is currently evolving into a framework for the Industrial Digital Twin in Industry 4.0 since more and more industrial use cases for its application as well as AAS sub-models with standardized semantic properties are being defined. The concept of the AAS enables data interoperability and thus provides novel opportunities for exchanging services between manufacturing assets, digital platforms, and value chain actors. Services in this sense are fabrication or assembly operations and tasks. It is demonstrated, how the data link and exchange between different AASs on the equipment level can be accomplished through an overlaying AAS on the manufacturing system level. A conceptual model for the service exchange is developed based on the state-of-the-art within the field of Industry 4.0. The model is subsequently verified and validated through a case implementation at the University of Southern Denmark’s Industry 4.0 lab.
Concept and Implementation of a Student Design Project for the Development of Sustainable Products
Authors: Wurst Johanna , Rosemann Daniel , Mozgova Iryna , Lachmayer Roland 
Published: April 2023

AbstractTechnology is a major driver for leveraging the potential of multidimensional sustainable development, regardless of the sector examined. Therefore, engineers have an important contribution in developing innovative technical solutions to ensure more sustainable alternatives to conventional processes or products. In order to support this comprehension from an early age on, it is the task of lecturers at universities by developing students access to sustainable engineering activities with new teaching programs. Regarding conventional product development, the question arises how sustainable products can be developed, which concepts for design and which methods for validation and quantification can be used. These and further questions are the basis of the project-based learning (PBL) approach introduced in this paper as part of a new module "Development of Sustainable Products" at the Faculty of Mechanical Engineering at the Leibniz University Hannover. In this paper, the need for new courses in the ecological sustainability context and the requirements for student project work are presented. The concept of the project and the overall objective, that the students are required to assess the ecological environmental impact of electric toothbrushes over the entire product life cycle based on a life cycle assessment (LCA) is introduced. After successfully participating in this project, students are able to conduct ecological sustainability analyses and understand the complexity within the development of sustainable products.
Spatiotemporal localisation patterns of technological startups: the case for recurrent neural networks in predicting urban startup clusters
Authors: Kubara Maria 
Published: April 2023

AbstractMore attention should be dedicated to intra-urban localisation decisions of technological startups. While the general trend of innovative companies being attracted to metropolitan areas is well-known and thoroughly researched, much less is understood about the micro-geographical patterns emerging within cities. Considering the growing number of papers mentioning that agglomeration externalities attenuate sharply with distance, such an analysis of micro-scale localisation patterns is crucial for understanding whether these effects are of importance for technological startups. Using a sample of startups from the up-and-coming market in Central-East Europe in Warsaw, Poland, their spatial organisation across the years will be tracked to investigate whether there is a defined pattern consistent with highly localised externalities operating within cities and how this pattern evolves over time. Additionally, the paper will show how recurrent neural networks may help predict the locations of technological startup clusters. It will be presented how to include the spatial dimension in the model in a computationally effective way and how this augmentation improves the results by allowing the network to “understand” the spatial relations between neighbouring observations.
HAMLET effect on cell death and mitochondrial respiration in colorectal cancer cell lines with KRAS/BRAF mutations
Authors: Žilinskas Justas , Stukas Darius , Jasukaitienė Aldona , Šapauskienė Jurgita , Banienė Rasa , Trumbeckaitė Sonata , Švagždys Saulius , Cicciu Marco , Dambrauskas Žilvinas , Gulbinas Antanas , Tamelis Algimantas 
Published: April 2023

Abstract
Purpose
Treatment of advanced colorectal cancer (CRC) depends on the correct selection of personalized strategies. HAMLET (Human Alpha-lactalbumin Made LEthal to Tumor cells) is a natural proteolipid milk compound that might serve as a novel cancer prevention and therapy candidate. Our purpose was to investigate HAMLET effect on viability, death pathway and mitochondrial bioenergetics of CRC cells with different KRAS/BRAF mutational status in vitro.

Methods
We treated three cell lines (Caco-2, LoVo, WiDr) with HAMLET to evaluate cell metabolic activity and viability, flow cytometry of apoptotic and necrotic cells, pro- and anti-apoptotic genes, and protein expressions. Mitochondrial respiration (oxygen consumption) rate was recorded by high-resolution respirometry system Oxygraph-2 k.

Results
The HAMLET complex was cytotoxic to all investigated CRC cell lines and this effect is irreversible. Flow cytometry revealed that HAMLET induces necrotic cell death with a slight increase in an apoptotic cell population. WiDr cell metabolism, clonogenicity, necrosis/apoptosis level, and mitochondrial respiration were affected significantly less than other cells.

Conclusion
HAMLET exhibits irreversible cytotoxicity on human CRC cells in a dose-dependent manner, leading to necrotic cell death and inhibiting the extrinsic apoptosis pathway. BRAF-mutant cell line is more resistant than other type lines. HAMLET decreased mitochondrial respiration and ATP synthesis in CaCo-2 and LoVo cell lines but did not affect WiDr cells’ respiration. Pretreatment of cancer cells with HAMLET has no impact on mitochondrial outer and inner membrane permeability.
Diabetische Nierenerkrankung (Update 2023)
Authors: Sourij Harald , Edlinger Roland , Prischl Friedrich C. , Kaser Susanne , Horn Sabine , Antlanger Marlies , Paulweber Bernhard , Aberer Felix , Brix Johanna , Cejka Daniel , Stingl Harald , Kautzky-Willer Alexandra , Schmaldienst Sabine , Clodi Martin , Rosenkranz Alexander , Mayer Gert , Oberbauer Rainer , Säemann Marcus 
Published: April 2023

ZusammenfassungEpidemiologische Untersuchungen zeigen, dass etwa 2–3 % aller Österreicher*innen einen Diabetes mellitus mit Nierenbeteiligung aufweisen. Dies betrifft somit in Österreich etwa 250.000 Menschen. Das Risiko des Auftretens und Fortschreitens der diabetischen Nierenerkrankung kann durch Lebensstilinterventionen und Optimierung des arteriellen Blutdrucks, Blutzuckers und spezielle Medikamentenklassen vermindert werden. In diesem gemeinsamen Artikel der Österreichischen Gesellschaften für Nephrologie und Diabetologie werden die entsprechende Diagnostik und therapeutische Strategien bei diabetischer Nierenerkrankung vorgeschlagen.
Gravidität bei vorbestehendem Diabetes (Update 2023)
Authors: Kautzky-Willer Alexandra , Winhofer Yvonne , Weitgasser Raimund , Lechleitner Monika , Harreiter Jürgen 
Published: April 2023

ZusammenfassungBereits vor mehr als 30 Jahren forderte die St. Vincent Deklaration, dass Schwangere mit vorbestehendem Diabetes mellitus vergleichbare Schwangerschaftsergebnisse wie gesunde Frauen erreichen sollen. Dennoch bestehen bei Frauen mit konzeptionell manifestem Diabetes nach wie vor höhere Komplikationsraten und eine höhere perinatale Morbidität und Mortalität. Eine fehlende oder zumindest unzureichende Schwangerschaftsplanung und präkonzeptionelle Betreuung mit Optimierung der Stoffwechsellage vor Konzeption ist dafür verantwortlich. Alle Frauen mit Diabetes sollen im Selbstmanagement der Insulintherapie mit Anpassungen der Insulindosis geschult sein und eine stabile Stoffwechsellage vor Schwangerschaftsbeginn aufweisen. Eine Schilddrüsendysfunktion, Hypertonie oder diabetische Komplikationen vor der Konzeption sollten ausgeschlossen bzw. adäquat behandelt sein, um das Risiko einer möglichen Progression der Komplikationen und Begleiterkrankungen sowie insgesamt mütterliche und fetale Risiken zu minimieren. Ein Ziel der mütterlichen Stoffwechselkontrolle ist das Erreichen von Normoglykämie und normalen HbA1c-Werten, falls dies ohne Risiko für Hypoglykämien möglich ist, da eine schlechte Blutzuckereinstellung mit diabetischer Embryopathie und diabetischer Fetopathie assoziiert ist. Das Hypoglykämierisiko ist speziell bei Typ 1 Diabetes mellitus in der Frühschwangerschaft deutlich erhöht, nimmt aber mit den hormonellen Veränderungen und der Zunahme der Insulinresistenz im Schwangerschaftsverlauf deutlich ab. Eine weltweit steigende Adipositasprävalenz führt zusätzlich zu einem Anstieg von Müttern mit Typ 2 Diabetes. Dieser Trend ist auch bei Frauen mit Typ 1 Diabetes zu beobachten und aggraviert die Metabolik und die perinatalen Ergebnisse. Eine funktionelle, intensivierte Insulintherapie mit multiplen täglichen Insulininjektionen oder eine Insulinpumpentherapie tragen neben dem vermehrten Einsatz des kontinuierlichen Glukosemonitorings zum Erreichen einer guten mütterlichen Stoffwechselkontrolle vor und während der Schwangerschaft bei. Orale Antidiabetika (Metformin) können vor allem bei Typ 2 Diabetes und Adipositas helfen die Insulinsensitivität zu verbessern und dadurch den Insulinbedarf zu vermindern, sollten jedoch aufgrund der Plazentagängigkeit und ungewissen Langzeitergebnissen bei den Nachkommen mit Bedacht (shared decision making) verordnet werden. Aufgrund des erhöhten Präeklampsierisikos bei Frauen mit Diabetes in der Schwangerschaft ist hier ein frühes Screening zu empfehlen. Regelmäßige und engmaschige geburtshilfliche Kontrollen in einem spezialisierten Zentrum und bei spezialisierten Fachärzt:innen sowie interdisziplinäre Zusammenarbeit werden empfohlen um eine gute Stoffwechseleinstellung und gesunde Entwicklung des Kindes zu sichern.
Interleukin-62/lymphocyte as a proposed predictive index for COVID-19 patients treated with monoclonal antibodies
Authors: Rotundo Salvatore , Borelli Massimo , Scaglione Vincenzo , Lionello Rosaria , Biamonte Flavia , Olivadese Vincenzo , Quirino Angela , Morrone Helen Linda , Matera Giovanni , Costanzo Francesco Saverio , Russo Alessandro , Trecarichi Enrico Maria , Torti Carlo ,   IDTM UMG COVID-19 Group, Serapide Francesca , Tassone Bruno , Fusco Paolo , Davoli Chiara , La Gamba Valentina , Morrone Helen Linda , Berardelli Lavinia , Tassone Maria Teresa , Serraino Riccardo , Costa Chiara , Foti Daniela Patrizia , Longhini Federico , Bruni Andrea , Garofalo Eugenio , Biamonte Eugenio , Laganà Domenico , Petullà Maria , Bertucci Bernardo , Barreca Giorgio Settimo , Giancotti Aida , Gallo Luigia , Lamberti Angelo , Liberto Maria Carla , Marascio Nadia , De Francesco Adele Emanuela 
Published: April 2023

AbstractIn a convenience sample of 93 patients treated with monoclonal antibodies (moAbs) against SARS-CoV-2, the interleukin-62/lymphocyte count ratio (IL-62/LC) was able to predict clinical worsening both in early stages of COVID-19 and in oxygen-requiring patients. Moreover, we analysed 18 most at-risk patients with asymptomatic or mild disease treated with both moAbs and antiviral treatment and found that only 2 had clinical progression, while patients with a similar risk were reported to have an unfavourable outcome in most cases from recent data. In only one of our 18 patients, clinical progression was attributable to COVID-19, and in the other cases, clinical progression was observed despite IL-62/LC being above the risk cut-off. In conclusion, IL-62/LC may be a valuable method to identify patients requiring more aggressive treatments both in earlier and later stages of the disease; however, most at-risk patients can be protected from clinical worsening by combining moAbs and antivirals, even if levels of the IL-62/LC biomarker are lower than the risk cut-off.
Improving state estimation through projection post-processing for activity recognition with application to football
Authors: Ciszewski Michał , Söhl Jakob , Jongbloed Geurt 
Published: April 2023

AbstractThe past decade has seen an increased interest in human activity recognition based on sensor data. Most often, the sensor data come unannotated, creating the need for fast labelling methods. For assessing the quality of the labelling, an appropriate performance measure has to be chosen. Our main contribution is a novel post-processing method for activity recognition. It improves the accuracy of the classification methods by correcting for unrealistic short activities in the estimate. We also propose a new performance measure, the Locally Time-Shifted Measure (LTS measure), which addresses uncertainty in the times of state changes. The effectiveness of the post-processing method is evaluated, using the novel LTS measure, on the basis of a simulated dataset and a real application on sensor data from football. The simulation study is also used to discuss the choice of the parameters of the post-processing method and the LTS measure.
Characteristics of coronary artery ectasia and accompanying plaques: an optical coherence tomography study
Authors: Yu Huai , Dai Jiannan , Tang Hao , Fang Chao , Jiang Senqing , Xu Xueming , Yu Bo , Tu Yingfeng 
Published: April 2023

AbstractCoronary artery ectasia (CAE) in adults is often caused by atherosclerotic plaques. CAE can affect atherosclerotic plaques through hemodynamic changes. However, no study has evaluated the characteristics of CAE with atherosclerotic plaques. Therefore, we aimed to disclose the characteristics of atherosclerotic plaques in patients with CAE using optical coherence tomography (OCT). We evaluated patients with CAE, confirmed by coronary angiography, who underwent pre-intervention OCT between April 2015 and April 2021. Each millimeter of the OCT images was analyzed to assess the characteristics of CAEs, plaque phenotypes, and plaque vulnerability. A total of 286 patients (344 coronary vessels) met our criteria, 82.87% of whom were men. Right coronary artery lesions were the most common, comprising 44.48% (n = 153) of the total. We found 329 CAE vessels with plaques, accounting for 95.64% of the coronary vessels. After grouping CAEs and plaques by their relative positions, we found that the length of plaques within CAE lesions was longer than that of plaques in other sites (P < 0.001). Plaques within CAE lesions had greater maximum lipid angles and lipid indexes (P = 0.007, P = 0.004, respectively) than those on other sites. This study revealed the most common vascular and morphological characteristics of CAE. While the accompanying plaques were not affected by the location or morphology of the CAE vessels, they were affected by their position relative to the CAE lesion.
Increased Detection of Hard-to-Detect Stuck-at Faults during Scan Shift
Authors: Jiang Hui , Zhang Fanchen , Dworak Jennifer , Nepal Kundan , Manikas Theodore 
Published: April 2023

AbstractTest sets that target standard fault models may not always be sufficient for detecting all defects. To evaluate test sets for the detection of unmodeled defects, n-detect test sets (which detect all modeled faults at least n times) have previously been proposed. Unfortunately, n-detect test sets are often prohibitively long. In this paper, we investigate the ability of shadow flip-flops connected into a MISR (Multiple Input Signature Register) to detect stuck-at faults fortuitously multiple times during scan shift. We explore which flip-flops should be shadowed to increase the value of n for the least detected stuck-at faults for each circuit studied. We then identify which circuit characteristics are most important for determining the cost of the MISR needed to achieve high values of n. For example, circuits that contain a few flip-flops with upstream fault cones that cover a large percentage of all faults in the circuit can often achieve high n-detect coverage fortuitously with a low-cost MISR. This allows a DFT engineer to predict the viability of this MISR-based approach early in the design cycle.
Development of a method for detecting the planting and ridge areas in paddy fields using AI, GIS, and precise DEM
Authors: Hamano Mitsuru , Shiozawa Shigeru , Yamamoto Shinya , Suzuki Noritsugu , Kitaki Yuichiro , Watanabe Osamu 
Published: April 2023

AbstractIn Japan, mowing work on ridges of farms that cultivate rice is difficult for farmers, especially in hilly and mountainous areas. Moreover, geographical information on ridges in paddy fields has not been prepared; such information includes the slope angle, the ridge area, and the ridge rate of the total paddy field area. This issue causes a level of uncertainty in management analysis in terms of labor costs, including mowing costs, particularly when farmers and agricultural corporations are starting or expanding farm businesses. Therefore, this research developed a method for creating planting area and ridge area polygons in paddy fields to measure the actual areas of both sites using slope angle information and calculating the ridge rates in paddy fields. This study adopts artificial intelligence, geographical information system (GIS), and precision digital elevation model techniques as strategy implementation tools with data prepared by an aerial laser survey of Nagano Prefecture. The model generated using the proposed machine learning tool can automatically detect the planting and ridge areas of paddy fields through aerial images of farmland with more than 96% accuracy. Then, polygons can be created for use in GIS. Furthermore, these polygons can be created for most of the understudied paddy fields, approximately 35 000 hectares throughout Nagano Prefecture, in only 2 to 3 weeks. Therefore, based on these techniques, the slope angles of ridges, the ridge areas, and the ridge rates of paddy areas can be measured through polygons.
Metalinguistic Negotiation, Speaker Error, and Charity
Authors: Abreu Pedro 
Published: April 2023

AbstractThis paper raises a new form of speaker error objection to the analysis of disputes as metalinguistic negotiations in cases in which disputants reject that analysis. It focuses on an obvious but underexplored form of speaker error: speakers’ misattribution of contents both to others and to themselves. It argues that the analyses of disputes that posit this type of speaker error are uncharitable in three different ways: first, by portraying speakers as mistaken interpreters of their interlocutors; second, by portraying speakers as uncharitable interpreters of their interlocutors; third, by portraying speakers who retract their claims as mistaken interpreters of their own prior utterances. Taken together, these unfavorable consequences weigh significantly against the plausibility of this type of analysis for the cases in question.
Loneliness and Absence in Psychopathology
Authors: Krueger Joel , Osler Lucy , Roberts Tom 
Published: April 2023

AbstractLoneliness is a near-universal experience. It is particularly common for individuals with (so-called) psychopathological conditions or disorders. In this paper, we explore the experiential character of loneliness, with a specific emphasis on how social goods are experienced as absent in ways that involve a diminished sense of agency and recognition. We explore the role and experience of loneliness in three case studies: depression, anorexia nervosa, and autism. We demonstrate that even though experiences of loneliness might be common to many psychopathologies, these experiences nevertheless have distinctive profiles. Specifically, we suggest that: (i) loneliness is often a core characteristic of depressive experience; (ii) loneliness can drive, and even cement, disordered eating practices and anorectic identity in anorexia nervosa; iii) loneliness is neither a core characteristic of autism nor a driver but is rather commonly experienced as stemming from social worlds, environments, and norms that fail to accommodate autistic bodies and their distinctive forms of life. We aim to do justice to the pervasiveness of loneliness in many — if not all — psychopathologies, while also highlighting the need to attend to psychopathology-specific experiences of loneliness, agency, and (non-)recognition.