bluuebunny/crossref_metadata_2025_split huggingface dataset:
Results of an audit of the Peristomal Body Profile Assessment Tool
Authors: Tonks Nicola , Rolls Natasha , Bain Kimberly , Russell-Roberts Paul , Bain Mark 
Published: December 2022

Background: Leakage is the number one concern for people with an ostomy. The 2019 Ostomy Life Study, a global study of more than 5000 ostomates, showed that 92% of people living with a stoma worry about leakage. Getting the right stoma appliance for each patient is key to increasing patient quality of life. Aim: The study was designed to assess the use of the Peristomal Body Profile Assessment Tool in helping choose the most appropriate stoma products for a given patient, decreasing incidents of leakage and peristomal skin complications. Methods: A multi-centre (33 sites, 147 patients) low-interventional clinical investigation was conducted in which the use of the Peristomal Body Profile Assessment Tool was evaluated as a tool to reduce incidents of leakage, increase peristomal skin health and increase patient quality of life. A focus group of randomised participating clinicians (n=16) was held to explore the audit results. Results: The assessment tool most often took between 2 and 5 minutes to complete. It supported clinicians in selecting the right appliance for each patient, avoiding leakages and preventing associated peristomal skin complications. The assessment tool helped improve the accuracy and quality of documentation in the patients' medical/nursing notes, increasing the quality and continuity of care. Participants reported that using the assessment tool helped reduce care costs by reducing the need for product changes, supporting product usage and return patient visits. Conclusion: Use of the Peristomal Body Profile Assessment Tool helped clinicians choose the most appropriate stoma appliance the first time, resulting in patients having healthier peristomal skin, fewer leakages, more confidence in their stoma appliance and a higher quality of life.
Vision measuring technology for the position degree of a hole group
Authors: Liu Siyuan , Ge Yupeng , Wang Shun , He Jialong , Kou Ying , Bao Haojing , Tan Qingchang , Li Nian 
Published: December 2022

The hole is one of the most important geometric elements in mechanical
parts. The center distance of a hole group measurement method based on
machine vision is proposed for solving the influence of perspective
distortion and improving the applicability of vision systems. In the
method, the plane equation of the measured plane is obtained by the
line structured light vision technology, and the process is free from
the constraints of the calibration plate. In order to eliminate the
effect of projection distortion on the measurement accuracy, a local
coordinate system is established on the plane of the measured hole
group, the hole diameter, and the center distance of the hole group,
which could be calculated by the local coordinates of the hole edge
points. In the experiment, the flange is taken as the measured object,
the distances between the holes on the flange are obtained by the
method proposed in this paper, and the measurement results compared
with the data are obtained by a coordinate measuring machine (CMM).
The experimental results show that the average measurement error of
center distance is 0.0739 mm, and the standard deviation is
0.0489 mm.
Undiagnosed status and associated factors of hypertension among adults living in rural of central, Ethiopia, 2020: Uncovering the hidden magnitude of hypertension
Authors: Gelassa Firaol Regea , Birhanu Adamu , Shibiru Abera , Nagari Shalama Lekasa , Jabena Desalegn Emana 
Published: December 2022

Background
Hypertension is a major risk factor for cardiovascular (CVD) disease related deaths worldwide. It affects more than 20% of adults in Ethiopia, making it a major public health concern. Although it is important to uncover the hidden extent of hypertension, there is limited information on the proportion of undiagnosed hypertension in rural areas of the country.

Objective
This study aimed to determine the magnitude of undiagnosed hypertension and associated factors among adults living in the rural Dano district, Central Ethiopia 2020.

Methods and materials
A quantitative, community-based cross-sectional study conducted from May to July 2020. A three-stage sampling technique was used to select a total of 605 study participants. A Validated tool was used to assess the participant’s behavioral characteristics. Blood pressure was measured using digital blood pressure apparatus. The mean of three blood measurements was used to classify hypertension after intra-class correlation was tested. Standardized instruments were used to assess participants’ health-seeking behavior and knowledge of the hypertensive disease. The proportion of undiagnosed hypertension was determined among patients with hypertension. The regression analyses were done to determine factors associated with undiagnosed hypertension. The adjusted odds ratio with 95% CI was estimated to measure the strength of the association. The level of statistical significance was set at a p-value < 0.05.

Results
The prevalence of undiagnosed hypertension was 21.32% (CI: 19.95%, 25.8%). Living in a household with the low wealth index [(AOR: 3.5,95%CI: (1.6,6.4)], far distance to health facility, [(AOR: 0.155,95%CI: (0.11.0.67)], underweight, [AOR = 2.2.1,95%CI:(2.00,4.22)], use of smokeless tobacco products, [AOR = 3.2,95%Cl:(1.88,4.75)], and participants’ knowledge of hypertension were independently associated with undiagnosed hypertension.

Conclusion
This study shows that undiagnosed hypertension is a major public health problem in the study area. Living in a household with a low wealth index, being far from a health facility, being underweight, using smokeless tobacco products, and having little knowledge about hypertension increase the likelihood of having undiagnosed Hypertension. Hypertension health information, particularly to smokes tobacco users, could improve the perceived susceptibility to hypertensive disease, and reduce the hidden extent of hypertension.
Improving quality control in the routine practice for histopathological interpretation of gastrointestinal endoscopic biopsies using artificial intelligence
Authors: Ko Young Sin , Choi Yoo Mi , Kim Mujin , Park Youngjin , Ashraf Murtaza , Quiñones Robles Willmer Rafell , Kim Min-Ju , Jang Jiwook , Yun Seokju , Hwang Yuri , Jang Hani , Yi Mun Yong 
Published: December 2022

Background
Colorectal and gastric cancer are major causes of cancer-related deaths. In Korea, gastrointestinal (GI) endoscopic biopsy specimens account for a high percentage of histopathologic examinations. Lack of a sufficient pathologist workforce can cause an increase in human errors, threatening patient safety. Therefore, we developed a digital pathology total solution combining artificial intelligence (AI) classifier models and pathology laboratory information system for GI endoscopic biopsy specimens to establish a post-analytic daily fast quality control (QC) system, which was applied in clinical practice for a 3-month trial run by four pathologists.

Methods and findings
Our whole slide image (WSI) classification framework comprised patch-generator, patch-level classifier, and WSI-level classifier. The classifiers were both based on DenseNet (Dense Convolutional Network). In laboratory tests, the WSI classifier achieved accuracy rates of 95.8% and 96.0% in classifying histopathological WSIs of colorectal and gastric endoscopic biopsy specimens, respectively, into three classes (Negative for dysplasia, Dysplasia, and Malignant). Classification by pathologic diagnosis and AI prediction were compared and daily reviews were conducted, focusing on discordant cases for early detection of potential human errors by the pathologists, allowing immediate correction, before the pathology report error is conveyed to the patients. During the 3-month AI-assisted daily QC trial run period, approximately 7–10 times the number of slides compared to that in the conventional monthly QC (33 months) were reviewed by pathologists; nearly 100% of GI endoscopy biopsy slides were double-checked by the AI models. Further, approximately 17–30 times the number of potential human errors were detected within an average of 1.2 days.

Conclusions
The AI-assisted daily QC system that we developed and established demonstrated notable improvements in QC, in quantitative, qualitative, and time utility aspects. Ultimately, we developed an independent AI-assisted post-analytic daily fast QC system that was clinically applicable and influential, which could enhance patient safety.
Morphology extraction of fetal ECG using temporal CNN-based nonlinear adaptive noise cancelling
Authors: Cao Shi , Xiao Hui , Gong Gao , Fang Weiyang , Chen Chaomin 
Published: December 2022

Objectives
Noninvasive fetal electrocardiography (FECG) offers many advantages over alternative fetal monitoring techniques in evaluating fetal health conditions. However, it is difficult to extract a clean FECG signal with morphological features from an abdominal ECG recorded at the maternal abdomen; the signal is usually contaminated by the maternal ECG and various noises. The aim of the work is to extract an FECG signal that preserves the morphological features from the mother’s abdominal ECG recording, which allows for accurately estimating the fetal heart rate (FHR) and analyzing the waveforms of the fetal ECG.

Methods
We propose a novel nonlinear adaptive noise cancelling framework (ANC) based on a temporal convolutional neural network (CNN) to effectively extract fetal ECG signals from mothers’ abdominal ECG recordings. The proposed framework consists of a two-stage network, using the ANC architecture; one network is for the maternal ECG component elimination and the other is for the residual noise component removal of the extracted fetal ECG signal. Then, JADE (one of the blind source separation algorithms) is applied as a postprocessing step to produce a clean fetal ECG signal.

Results
Synthetic ECG data (FECGSYNDB) and clinical ECG data (NIFECGDB, PCDB) are used to evaluate the extraction performance of the proposed framework. The statistical and visual results demonstrate that our method outperforms the other state-of-the-art algorithms in the literature. Specifically, on the FECGSYNDB, the mean squared error (MSE), signal-to-noise ratio (SNR), correlation coefficient (R) and F1-score of our method are 0.16, 7.94, 0.95 and 98.89%, respectively. The F1-score on the NIFECGDB reaches 98.62%. The value of the F1-score on the PCDB is 98.62%.

Conclusion
As opposed to the existing algorithms being restricted to fetal QRS complex detection, the proposed framework can preserve the morphological features of the extracted fetal ECG signal well, which could support medical diagnoses based on the morphology of the fetal ECG signal.
Practices of tablet splitting and dose uniformity of fragments at public hospitals in Ethiopia: A cross-sectional study supported by experimental findings
Authors: Emagn Kasahun Asmamaw , Joseph Nisha Mary , Belete Anteneh 
Published: December 2022

Objective
To assess the practices and dose uniformity of tablet splitting at selected public hospitals in Northwest Ethiopia.

Methods
A hybrid study method was employed to see the overall practices of tablet splitting. A prospective cross-sectional study was conducted to explore the practices of tablet splitting by administering structured questionnaires to patients and pharmacy professionals. Experimental data on dose and content uniformity of split tablets were obtained from the results of drugs split by study subjects. The content uniformity assay was performed using UV/Vis spectrophotometry.

Results
A total of 241 patients and 82 pharmacy professionals participated in the cross-sectional study. The majority of patient participants (51.3%) faced problems while splitting their tablet medications and this had a significant association with the education level of the patients (χ2 = 60.5; p = 0.001). Enteric-coated formulations were dispensed to be split, despite the precaution given by the manufacturers against splitting or crushing these products. Splitting of enteric-coated products accounts for 11% of the total drugs that were dispensed to be taken after a split. The mean of weight variation test for the half tablets does not meet the specifications set in pharmacopoeias when splitting was done by patients. The unscored haloperidol tablets were hard to split and resulted in a significant weight variation of half-tablets than the scored furosemide tablets. Moreover, the weight of 4 out of 20 fragments that were split by patients deviated at least by 15%.

Conclusions
This finding showed that the tablet-splitting practices are poor and do not meet the specifications set by pharmacopoeias. Splitting by patients resulted in significantly higher dose variation and weight loss of fragments than splitting by pharmacists.
Wissenschaftskommunikation und Informationsverhalten während der COVID-19-Pandemie: Eine Analyse von Umfragedaten und Interviews
Authors: Böcker Ramona , Mandl Thomas , Mitera Hannah , Schmidt Franziska 
Published: December 2022

Zusammenfassung
Die Coronapandemie hat einen hohen Bedarf an Informationen ausgelöst. Gleichzeitig wurde eine große Menge an Wissenschaftsinformationen über verschiedene Kanäle verbreitet, darunter häufig auch über Social Media. Somit entstanden für die Forschung zum Informationsverhalten neue Chancen zur Beobachtung von Nutzenden, aber auch neue methodische Herausforderungen, dieses Verhalten mit dem sonstigen Konsum von Nachrichten und Wissenschaftskommunikation in Bezug zu setzen. Es wird ein Mixed-Methods-Ansatz aus einer Befragung zur Nutzung und Bewertung von Informationsquellen kombiniert mit Beobachtungen aus einer Nutzungsstudie vorgestellt Für diese wurden in einem Experiment Ergebnislisten verschiedener Web- und Videosuchen als Ausgangspunkt genutzt, um Auswahlmethoden und Qualitätskriterien für Wissenschaftskommunikate zu ermitteln. Beide methodischen Ansätze zeigten, dass die Seriosität und die Bekanntheit einer Quelle eine dominierende Rolle bei Auswahlentscheidungen spielen.
Ezekiel and the Construction of Cultural Trauma
Authors: Crouch C. L. 
Published: December 2022

AbstractThe book of Ezekiel may be effectively understood in terms of Jeffrey Alexander’s theory of cultural trauma, in which catastrophic events take on a wider cultural significance because they are perceived as having consequences for group identity. The book of Ezekiel develops a new master narrative of Israelite history and identity, in which the catastrophes of 597 and 586 BCE are the culmination of generations of moral and religious offences against Yhwh, the God of Israel. Ezekiel’s narrative constructs these events as having profound consequences for Israel’s identity. Those taken to Babylonia are identified as victims of divine violence; as victims, they are the ones whom Yhwh has chosen as true Israelites. The book distinguishes this new Israel from the remnants of the old one still in Jerusalem, rejecting the claim that the latter are still members of the house of Israel. According to Ezekiel, to be an Israelite means to be a deportee. Although few texts outside Ezekiel are quite so overtly negative regarding Israel’s history, its reckoning of the significance of Jerusalem’s fall for Israelite identity resonates throughout the canon. With rare exceptions, the experience of deportation and life in Babylonia became thesine qua nonof Israelite identity: only those who had it could count themselves true members of post-597 Israel. As a construction of the cultural significance of trauma, therefore, Ezekiel was remarkably successful. Thereafter, the events of 597 were construed not simply as practically and politically catastrophic, but astraumatic: the new master narrative placed them front and centre, with indelible and profound consequences for Israel’s self-understanding.
A methodology for measuring the characteristic curvature of technical-grade ethoxylated nonionic surfactants: the effects of concentration and dilution
Authors: Ghayour Amir 
Published: December 2022

Abstract
Characterization of the behaviour of commercially available non-ionic surfactants has received considerable attention due to their efficacy in a variety of applications. The main challenge in the application of these types of surfactants is that the hydrophilicity of the surfactant varies with concentration and dilution due to the polydispersity of the ethylene oxide groups. The hydrophilicity of a surfactant can be quantified by the characteristic curvature (Cc) parameter of the hydrophilic–lipophilic difference (HLD) framework. In this work, a model based on natural logarithmic regression was developed to calculate the Cc value of commercial surfactants as a function of surfactant concentration by a fast and simple phase scan. The slope of the Cc curve and the measured Cc at a reference concentration were used to develop the model. The Cc values determined with the model agreed with the measured values from the phase scans. Furthermore, the linear mixing rule proved to be reliable for mixtures of polydisperse ethoxylated surfactants. Finally, the impact of the water-to-oil ratio on the Cc was evaluated and the implications were discussed.
Zukunftsfähige Produktionsnetzwerke in disruptiven Zeiten
Authors: Schuh Günther , Friedli Thomas , Lanza Gisela , Schollemann Alexander , Specht Fabian , Benfer Martin 
Published: December 2022

Abstract
Produktionsnetzwerke stehen in ständigem Austausch mit einem dynamischen Umfeld und sind durch globale Aktivitäten einer Vielzahl von Einflüssen ausgesetzt. Zur Sicherstellung der Zukunftsfähigkeit gilt es sowohl kurzfristige Disruptionen entlang der Lieferkette als auch langfristige Einflüsse, wie zum Beispiel den Trend zu mehr Nachhaltigkeit, zu berücksichtigen. Der vorliegende Beitrag adressiert diese Herausforderungen in Form von konkreten Lösungsansätzen für die Strategie, die Gestaltung und das Management von zukunftsfähigen Produktionsnetzwerken.
Risiken managen – Einsatzpotenziale von EaaS-Lösungen in der Produktion
Authors: Evcenko Dimitri , Kett Holger , Nebauer Stephan 
Published: December 2022

Abstract
Equipment-as-a-Service (EaaS) umfasst Angebote, bei denen eine Maschine nicht mehr vom Kunden gekauft, sondern ihm gegen eine wiederkehrende Gebühr zur Verfügung gestellt wird. Die Gebühr richtet sich nach den gelieferten Werten, beispielsweise in Form der Maschinenverfügbarkeit, der Nutzungsdauer oder der von ihr produzierten Teile (Ergebnisse). Mit den erbrachten Werten geht bei EaaS-Angeboten die Übernahme unterschiedlich stark ausgeprägter Risiken seitens des Maschinenherstellers und dessen Geschäftspartner einher. Auf diese Art und Weise bieten EaaS-Angebote ein neues Instrument für die Handhabung von bestimmten Risiken in der Fertigung. Welche Risiken durch EaaS-Angebote abgedeckt werden können, wo die Einsatzpotenziale von EaaS-Lösungen im eigenen Fertigungsunternehmen liegen und wie konkrete Handlungsempfehlungen zu Einsatzszenarios von EaaS in Fertigungsunternehmen abgeleitet werden können, wird in der nachfolgenden Veröffentlichung aufgezeigt.
Unternehmensübergreifendes Datenqualitätsmanagement
Authors: Linnartz Maria , Kim Soo-Yon , Perau Martin , Schröer Tobias , Geisler Sandra , Decker Stefan 
Published: December 2022

AbstractUm in komplexen Wertschöpfungsnetzwerken und an der Schnittstelle zwischen Kunden und Lieferanten valide, datenbasierte Entscheidungen treffen zu können, muss eine hohe Datenqualität vorliegen. Dabei mangelt es oft an einem Datenqualitätsmanagement (DQM), das den konkreten Anwendungsfall und den überbetrieblichen Austausch berücksichtigt. Wir stellen ein universales Rahmenwerk für das überbetriebliche DQM vor, das Ziele, Prozesse, relevante Daten und Akteure erfasst und den Grundstein für eine ganzheitliche Datenqualitätsstrategie legt.
Kategorisierung und Erstbeurteilung von Wandlungstreibern
Authors: Martin Michael , Lars Heege Sören , Peukert Sina , Lanza Gisela 
Published: December 2022

Abstract
Moderne Unternehmen agieren in Produktionsnetzwerken, welche durch zunehmende Volatilität, Unsicherheit, Komplexität und Ambiguität (VUKA-Welt) beeinflusst werden. Um wirtschaftlich auf globalen Märkten tätig sein zu können, wird es für Unternehmen immer wichtiger, auf Veränderungen, welche durch Wandlungstreiber ausgelöst werden, zeitnah reagieren zu können. Das in diesem Beitrag vorgestellte Vorgehen befähigt Unternehmen, Wandlungstreiber zu identifizieren, zu kategorisieren und mittels ausgewählter Kriterien eine Erstbeurteilung hinsichtlich auftretender Wandlungstreiber durchzuführen.
Überprüfung der Zukunftsfähigkeit von Planungsmethoden
Authors: Rannertshauser Patrick , Schneider Markus 
Published: December 2022

AbstractUnternehmen stehen neben den Krisen vor einigen Herausforderungen. Diesbezüglich verändern sich die Anforderungen an die jeweiligen Produktionen und Montagesysteme. Zur Planung dieser Systeme erhalten Planer Unterstützung von Planungsmethoden. Jedoch müssen die Planungsmethoden so gestaltet sein, dass sie die jeweiligen Anforderungen erfüllen. Aus diesem Grund werden in dem Beitrag die Methoden im Hinblick auf die Erfüllung der Anforderungen geprüft. Dabei zeigen die Ergebnisse, dass die in der Praxis relevanten Planungsmethoden bereits über 20 Jahre alt sind und daher bestimmte Anforderungen nicht mehr erfüllen.
Implikationen Künstlicher Intelligenz im industriellen Einkauf
Authors: Koch Volker , El Shafie Laila 
Published: December 2022

Abstract
Dieser Beitrag gibt einen Überblick über aktuelle Anwendungen der Künstlichen Intelligenz (KI) im industriellen Einkauf. Es wurden eine Literaturrecherche und eine Umfrage durchgeführt. Die Umfrageteilnehmer bewerteten ihre aktuelle Situation bezüglich des Einsatzes von KI in der Einkaufsbranche. Die Ergebnisse zeigen, dass zahlreiche Unternehmen den Wert einer Investition in KI erkennen, unabhängig davon, ob sie in ihrem Betrieb eingesetzt werden. Ressourcen und Informationen sind jedoch knapp und nicht alle Unternehmen sind bereit, in die Forschung zu investieren, die für die Entwicklung von KI-bezogener Software erforderlich wäre. Um Veränderungen erfolgreich zu bewältigen, müssen EinkäuferInnen anpassungsfähig und aufgeschlossen für das Thema KI sein.
… Quid sit Amor… •
Authors: Pilipović Jelena 
Published: December 2022

AbstractThe paper examines the parallelisms in the poetic presentation of love as a phenomenon and Love as a divine figure in the fragments of the Aeolian poetess Sappho and in Vergil's Eclogues. Having shown the strong echoes of Sappho's opus in the Roman culture of Vergil's time, the research focuses on analogies at the semantic and expressive level. The two poets share a vision of love/Love as a deeply destructive force, which threatens human existence – a vision introduced by Hesiod – but they also share some refined models of sublimating that destructiveness. The paper particularly explores those models and the layering of thought that the motif of love acquires, thanks to them.