bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nomogram based on clinical and preoperative CT features for predicting the early recurrence of combined hepatocellular-cholangiocarcinoma: a multicenter study
Authors: Zheng Chao , Gu Xin-tao , Huang Xiao-li , Wei Yu-chen , Chen Lu , Luo Ning-bin , Lin Hua-shan , Jin-yuan Liao 
Published: September 2023

Abstract
Purpose
To establish and validate a multiparameter prediction model for early recurrence after radical resection in patients diagnosed with combined hepatocellular-cholangiocarcinoma (cHCC-CC).

Materials and methods
This study reviewed the clinical characteristics and preoperative CT images of 143 cHCC-CC patients who underwent radical resection from three institutions. A total of 110 patients from institution 1 were randomly divided into training set (n = 78) and testing set (n = 32) in the ratio of 7–3. Univariate and multivariate logistic regression analysis were used to construct a nomogram prediction model in the training set, which was internally and externally validated in the testing set and the validation set (n = 33) from institutions 2 and 3. The area under the curve (AUC) of receiver operating characteristics (ROC), decision curve analysis (DCA), and calibration analysis were used to evaluate the model’s performance.

Results
The combined model demonstrated superior predictive performance compared to the clinical model, the CT model, the pathological model and the clinic-CT model in predicting the early postoperative recurrence. The nomogram based on the combined model included AST, ALP, tumor size, tumor margin, arterial phase peritumoral enhancement, and MVI (Microvascular invasion). The model had AUCs of 0.89 (95% CI 0.81–0.96), 0.85 (95% CI 0.70–0.99), and 0.86 (95% CI 0.72–1.00) in the training, testing, and validation sets, respectively, indicating high predictive power. DCA showed that the combined model had good clinical value and correction effect.

Conclusion
A nomogram incorporating clinical characteristics and preoperative CT features can be utilized to effectively predict the early postoperative recurrence in patients with cHCC-CC.
Agiles Arbeiten und Gruppendynamik
Authors: Bachmann Thomas , König Oliver , Königswieser Roswita , Schattenhofer Karl , Simon Fritz B 
Published: September 2023

ZusammenfassungIn dem vorliegenden Expertengespräch in der Zeitschrift Gruppe – Interaktion – Organisation (GIO) befassen sich Thomas Bachmann, Oliver König, Roswita Königswieser, Karl Schattenhofer und Fritz B. Simon mit der Rolle von Gruppendynamik bei der Agilen Transformation. Zunächst werden Agilität und New Work als aktuelle Phänomene diskutiert und eingeordnet. Dabei wird die Abgrenzung zu schon bekannten Konzepten und Modetrends thematisiert. Im weiteren Verlauf des Gesprächs wird untersucht, welche Rolle Konzepte der Gruppendynamik zum Verständnis von New Work und Agilität beitragen können und inwieweit Gruppendynamiktrainings für Personen im agilen Kontext einen Kompetenzgewinn ermöglichen.
Blockchain adoption challenges in the healthcare sector: a waste management perspective
Authors: Dhingra Sarthak , Raut Rakesh D. , Yadav Vinay Surendra , Cheikhrouhou Naoufel , Naik B. Koteswara Rao 
Published: September 2023

AbstractThe proposed study aims to identify the major challenges for blockchain adoption to manage reverse logistics activities of recyclable hospital waste in the Indian healthcare sector, in the COVID era. Fifteen challenges are identified through literature review and experts’ views and are prioritized and analyzed for cause-and-effect relationships using a hybrid approach combining Best–Worst Method (BWM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL). A sensitivity analysis is performed to evaluate the results’ robustness. The results reveal that the Technological and Regulatory challenges category plays the most influential role consisting of Lack of Government Support and Policies, Lack of Strategic Planning, Lack of Knowledge and Qualified Expertise, Lack of Standards and Regulations, High Cost Involved, and Lack of Top Management Support are the most significant challenges affecting blockchain adoption. This study can support healthcare stakeholders, policymakers, government, and researchers in planning the strategic removal of the challenges to blockchain adoption in the Indian healthcare sector. The identification of the mutual interaction among the challenges will help healthcare decision makers address strategic questions of waste management from a holistic point of view. Since the work is achieved in the Indian healthcare context, generalization of the results must be carefully considered. The present study contributes significantly to discussing blockchain’s potential in healthcare waste management. The study’s findings can aid decision making process of managers, policymakers, and benefit researchers in this field.
How Do Job Crafting Profiles Manifest Employees’ Work Engagement, Workaholism, and Epistemic Approach?
Authors: Nissinen Terhi S. , Upadyaya Katja , Lammassaari Heidi , Lonka Kirsti 
Published: September 2023

AbstractThe present study identifies job crafting profiles of public sector employees and how they differ in terms of employees’ work engagement, workaholism, and approach to learning. Participants represent various occupations from educational field (e.g., teachers), technical field (e.g., ICT-experts), and administrative field (e.g., customer servants). Using latent profile analysis, three job crafting profiles could be identified: Passive crafters (25%), Average crafters (57%), and Active crafters (18%). Passive crafters reported the lowest values in all approach-oriented job crafting strategies (increasing job resources and demands) and the highest value in avoidance-oriented job crafting (decreasing hindering job demands). Active crafters reached the highest values in all approach-oriented job crafting and the lowest value in avoidance-oriented job crafting. Average crafters used all job crafting strategies close to the average level. The lowest work engagement, workaholism, and reflective-collaborative approach to learning were reported by passive crafters. Both average crafters and active crafters reported higher workaholism and reflective-collaborative learning approach than passive crafters. Active crafters reported the highest work engagement. Study findings show the interplay between employees’ job crafting, work engagement, workaholism, and epistemic approach. This study extends workplace learning research field by offering new theoretical information and is the first one exploring job crafting profiles and their differences regarding employees’ epistemic approach; reflective learning, collaborative knowledge-building, and metacognition. Study discusses theoretical contributions and practical implementations, which may be used in work life induction, and in fostering job crafting and continuous workplace learning.
Lyapunov functions and global stability analysis for epidemic model with n-infectious
Authors: Omar F. M. , Sohaly M A , El-Metwally H. 
Published: September 2023

AbstractIn this paper, an epidemic $${\text{SI}}$$
SI
model with $$n$$
n
-infectious stages is studied. Lyapunov functions are used to conduct the global stability analysis for equilibrium points. The $$n$$
n
-basic reproduction ratios $$R_{1}$$

R
1

, $$R_{2}$$

R
2

, …, $$R_{n}$$

R
n

are computed, and the basic reproduction number ($$R_{0}$$

R
0

) is the max value between this ratios is obtained. For, $$j = 1,2,...,n$$

j
=
1
,
2
,
.
.
.
,
n

when $$R_{j}$$

R
j

is less than one, all strains die out, and if it is greater than one, then persists. The disease-free and endemic equilibrium points are found, and we studied the global stability for them by using the direct Lyapunov functions. The Maple program is used for carrying a numerical simulations to support the analytically results.
Economic policy uncertainty, geopolitical risk, market sentiment, and regional stocks: asymmetric analyses of the EU sectors
Authors: Bossman Ahmed , Gubareva Mariya , Teplova Tamara 
Published: September 2023

AbstractThe purpose of this study is to investigate the asymmetric effects of economic policy uncertainty (EPU), geopolitical risk (GPR), and market sentiment (VIX) on European Union (EU) stocks by sectors of economic activity. The design and methodological approach of our research are rooted in parametric and nonparametric quantile-based techniques. We employ monthly data covering eleven sectors of economic activity in addition to GPR, Global EPU, European Union EPU, United States EPU, and VIX. Our dataset covers the period between February 2013 and September 2022. Our findings show a generally low predictive power of the considered EPU measures on the stock returns of the EU sectors. Notwithstanding, the analysis reveals that EPU from the EU has the highest predictive ability on the EU sectoral stock returns while EPU from the US has no significant predictive ability on the stock returns from the EU. Our findings also highlight the asymmetric effects of various EPUs on EU stocks. Moreover, certain sectoral exposure to EU stocks, found to serve just as diversifiers in normal market conditions, could become a hedge and safe-haven against GPR in extreme economic conditions. Our findings also highlight the role of the VIX as a good gauge to hedge against the downside risks of the EU stocks. The originality of our work is two-fold. First, we extend the study of how global factors influence the EU stock market to the most recent period including the Russia–Ukraine conflict. Second, we perform this study on a sectoral basis. Therefore, the value of our findings is that they provide notable implications for market regulation and portfolio management.
A Sustainable Philosophy for Teaching Ethics and Morals to Build Character, Pro-social Skills and Well-being in Children
Authors: Khanna Dipankar 
Published: September 2023

AbstractThis paper looks at frameworks for the practice of moral and ethical values for children, drawn from Yoga and Buddhist Philosophies. Verily the purpose is to inculcate a repository of thought and behaviour through which they align moral and ethical behaviours by becoming important cogs in establishing harmony in the world that we exist. Harmony between one child and another child, harmony between children and their families, harmony between the families and larger society and harmony between society and other sentient beings and life forms is what constitutes cosmic-harmony. In this sense, Confucius’ triadic cosmic-harmony and the timeless Vedic Ṛta are not merely a philosophical thought or idea envisaged in ivory towers but real-time experiencing or darsana. This is realized through disciplined individual behaviours in balancing of our purusharthas with our dharma; aligning these with a sense of universal responsibility out of care and concern for one another. This would ensure in connecting and building synergy with all that surrounds us since these practices fostering morals and ethics could also be befitting measures to counter the Anthropocene epoch’s negative geologic impact on our planet. This paper is being written from the perspective of human beings and their practice of humanism via moral and ethical behaviour. The point of departure being that humans are placed as a dominant species at the centre of our planet with unprecedented power to influence the fate of other species, the environment and the future of the quality of bio-diversity of life on earth.
Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches
Authors: Bloemheuvel Stefan , van den Hoogen Jurgen , Atzmueller Martin 
Published: September 2023

AbstractGraph neural networks (GNNs) haven proven to be an indispensable approach in modeling complex data, in particular spatial temporal data, e.g., relating to sensor data given as time series with according spatial information. Although GNNs provide powerful modeling capabilities on such kind of data, they require adequate input data in terms of both signal and the underlying graph structures. However, typically the according graphs are not automatically available or even predefined, such that typically an ad hoc graph representation needs to be constructed. However, often the construction of the underlying graph structure is given insufficient attention. Therefore, this paper performs an in-depth analysis of several methods for constructing graphs from a set of sensors attributed with spatial information, i.e., geographical coordinates, or using their respective attached signal data. We apply a diverse set of standard methods for estimating groups and similarities between graph nodes as location-based as well as signal-driven approaches on multiple benchmark datasets for evaluation and assessment. Here, for both areas, we specifically include distance-based, clustering-based, as well as correlation-based approaches for estimating the relationships between nodes for subsequent graph construction. In addition, we consider two different GNN approaches, i.e., regression and forecasting in order to enable a broader experimental assessment. Typically, no predefined graph is given, such that (ad hoc) graph creation is necessary. Here, our results indicate the criticality of factoring in the crucial step of graph construction into GNN-based research on spatial temporal data. Overall, in our experimentation no single approach for graph construction emerged as a clear winner. However, in our analysis we are able to provide specific indications based on the obtained results, for a specific class of methods. Collectively, the findings highlight the need for researchers to carefully consider graph construction when employing GNNs in the analysis of spatial temporal data.
Detecting Fusarium oxysporum f. sp. elaeidis by using loop-mediated isothermal amplification
Authors: Adusei-Fosu Kwasi , Dickinson Matthew 
Published: September 2023

SummaryWe developed a Loop-Mediated Isothermal Amplification (LAMP) to detect Fusarium oxysporum f. sp. elaeidis (FOE) causal agent of fusarium wilt in oil palm. The assay was designed based on partial sequences of effector protein Secreted In Xylem (SIX8, SIX10 and SIX13) and P450 cytochrome-oxidase. The isolates used were classified as FOE, presumed-FOE and non-FOE/other Fusarium spp. based on previously published pathogenicity assay studies. The LAMP assay detected FOE DNA isolated from root tissues of oil palm seedlings. The SIX8 primers detected all FOE isolates, including other presumed-FOE and non-FOE isolates. The SIX10 and SIX13 could not detect FOE and presumed-FOE isolates. The P450 cytochrome-oxidase primer detected all isolates of FOE, presumed-FOE and non-FOE. Without isolating FOE DNA from soil, the LAMP assay could not detect FOE directly in inoculated soil. Detection time for all primers was below 30 min. Annealing derivative curves were used for assessing the level of specificity for both SIX8 and P450 cytochrome-oxidase, but none of the LAMP primers could distinguish between FOE, presumed-FOE and non-FOE isolates. This assay could be suitable for FOE detection of oil palm in nurseries and serve as an important biosecurity tool to screen oil palm germplasm exchanged between oil palm growing countries.
Vom Ertasten eines Elefanten in einem dunklen Raum: Philosophische, psychologische und literaturwissenschaftliche Perspektiven auf demenzielle Erkrankungen
Authors: Hutmacher Fabian 
Published: September 2023

ZusammenfassungDemenzielle Erkrankungen sind mehr als neurodegenerative Erkrankungen des Gehirns. Um diese These plausibel zu machen, präsentiert der vorliegende Aufsatz philosophische, psychologische und literaturwissenschaftliche Perspektiven auf demenzielle Erkrankungen. Aus einer philosophisch-psychologischen Perspektive wird dabei zunächst gezeigt, dass das Selbst von Menschen mit Demenz auch mit fortschreitendem Krankheitsverlauf nicht seine lebensgeschichtliche Tiefe verliert. In einem zweiten Schritt wird darauf aufbauend argumentiert, dass demenzielle Erkrankungen nicht nur die erkrankte Person selbst, sondern immer auch ein soziales Beziehungsgefüge betreffen. Als eine Option, mit den daraus resultierenden Belastungen umzugehen, wird die Beschäftigung mit kreativen Aktivitäten vorgestellt. Basierend darauf wird schließlich die Frage erörtert, welche Einsichten die Auseinandersetzung mit literarischen Demenzdarstellungen bereithalten kann. Hervorgehoben wird dabei neben der Möglichkeit der mimetischen Annäherung an die Innenperspektive erkrankter Personen vor allem das Potenzial, gedankliche Resonanz- und Assoziationsräume zu öffnen. Mit der Beschreibung dieser unterschiedlichen disziplinären Perspektiven liefert der vorliegende Aufsatz keine umfassende Analyse demenzieller Erkrankungen, sondern versteht sich vielmehr als Einladung, weitere Sichtweisen ins Spiel zu bringen und so das Gesamtbild zu vervollständigen.
PMDedu: Assessing the educational needs of startups and academic investigators focused on pediatric medical device development
Authors: Shah Payal , Snitman Alexis , McCaney Jennifer , Rose Lynn M. , Sheridan David , Espinoza Salomon Juan 
Published: September 2023

Abstract

Background:
The pediatric medical device development (PMDD) process is highly complex, beset by a variety of financial, technical, medical, and regulatory barriers. Startup company innovators and academic investigators often struggle with accessing specialized knowledge relating to regulatory requirements, product development, research, and marketing strategies.

Objectives:
The West Coast Consortium for Technology & Innovation in Pediatrics (CTIP) conducted an educational needs assessment to understand knowledge gaps and inform our educational strategy.

Methods:
We surveyed a total of 49 medical device startups and 52 academic investigators. Electronic surveys were developed for each group on Qualtrics and focused on manufacturing, regulatory, research, commercialization, and funding. Descriptive statistics were used.

Results:
A larger proportion of academic investigator respondents had a clinical background compared to the startup respondents (45% vs. 22%). The biggest barriers for academic investigators were understanding regulatory and safety requirements testing (52%) and finding and obtaining non-dilutive funding was the most difficult (54%). Among startups, understanding clinical research methods and requirements was the biggest barrier (79%).

Conclusion:
Startup companies and academic investigators have similar, but not identical, educational needs to better understand the PMD development process. Investigators need more support in identifying funding sources, while startup companies identified an increased need for education on research regulatory topics. These findings can help guide curriculum development as well as opportunities for partnerships between academia and startups.
On the quasi-ergodicity of absorbing Markov chains with unbounded transition densities, including random logistic maps with escape
Authors: CASTRO MATHEUS M. , GOVERSE VINCENT P. H. , LAMB JEROEN S. W. , RASMUSSEN MARTIN 
Published: September 2023

AbstractIn this paper, we consider absorbing Markov chains
$X_n$
admitting a quasi-stationary measure
$\mu $
on M where the transition kernel
${\mathcal P}$
admits an eigenfunction
$0\leq \eta \in L^1(M,\mu )$
. We find conditions on the transition densities of
${\mathcal P}$
with respect to
$\mu $
which ensure that
$\eta (x) \mu (\mathrm {d} x)$
is a quasi-ergodic measure for
$X_n$
and that the Yaglom limit converges to the quasi-stationary measure
$\mu $
-almost surely. We apply this result to the random logistic map
$X_{n+1} = \omega _n X_n (1-X_n)$
absorbed at
${\mathbb R} \setminus [0,1],$
where
$\omega _n$
is an independent and identically distributed sequence of random variables uniformly distributed in
$[a,b],$
for
$1\leq a <4$
and
$b>4.$
Low infectivity among asymptomatic patients with a positive severe acute respiratory coronavirus virus 2 (SARS-CoV-2) admission test at a tertiary care center, 2020–2022
Authors: Tayyar Ralph , Kiener Melanie A. , Liang Jane W. , Contreras Gustavo , Rodriguez-Nava Guillermo , Zimmet Alex N. , Contag Caitlin A. , Srinivasan Krithika , McIntyre Karen , Subramanian Aruna , Shepard John , Tompkins Lucy S. , Pinsky Benjamin A. , Salinas Jorge L. 
Published: September 2023

AbstractWe used a strand-specific RT-qPCR to evaluate viral replication as a surrogate for infectiousness among 242 asymptomatic inpatients with a positive severe acute respiratory coronavirus virus 2 (SARS-CoV-2) admission test. Only 21 patients (9%) had detectable SARS-CoV-2 minus-strand RNA. Because most patients were found to be noninfectious, our findings support the suspension of asymptomatic admission testing.
‘Visible’ compulsions: OCD and the politics of science in British clinical psychology, 1948–1975
Authors: Surawy Stepney Eva 
Published: September 2023

AbstractThis article historicizes a single stage in how the contemporary obsessive–compulsive disorder (OCD) category was built. Starting from the position that the two central components which make up OCD are ‘obsessions’ and ‘compulsions’, it illustrates how these concepts were taken apart by a small group of clinical psychologists working at the Institute of Psychiatry and the Maudsley psychiatric hospital in south London in the early 1970s, and why compulsions were investigated whilst obsessions were ignored. The decision to distinguish the previously undifferentiated symptoms is attributed to the commitment amongst psychologists at the Maudsley, most notably Stanley Rachman, to an empirical conception of science which emphasized observability. Two aspects of this are discussed. First, compulsions were deemed ‘visible’ through their correspondence with animal behaviour. Second, the symptom was seen as open to an experimental modification procedure which privileged visible outcomes. Ultimately, the article concludes that the historical division between ‘obsessions’ and ‘compulsions’, and the extensive investigation of the latter, has had substantial implications for the development of OCD as a category centred on visible behaviours and treated through behavioural means.
The impact of welfare on maternal investment and sibling competition: evidence from Serbian Roma communities
Authors: Čvorović Jelena 
Published: September 2023

AbstractSiblings compete for limited parental resources, which can result in a trade-off between family size and child growth outcomes. Welfare incentives may improve parental circumstances in large families by compensating for the additional costs of an extra child and increasing the resources available to a family. The improvements in conditions may influence parents to increase their investment, expecting greater returns from the investment in child survival and development, while in turn increase sibling competition for the investment. This study assessed whether welfare benefits have influenced parental investment trade-offs and competition between siblings among Serbian Roma, a population largely dependent on welfare. Using data from the UNICEF Multiple Indicator Cluster Survey 6, this study assessed the associations between maternal investment, child cash benefits, sibship size, and child anthropometry, as an indicator of health, among 1096 Serbian Roma children aged 0 to 59 months. Living in a small family benefited Roma children, while the incentives increased competition between siblings. Maternal investment was negatively associated with incentives, as the improvements brought about were insufficient to influence a change in maternal perceptions about the local setting uncertainty and thus promote an increase in investment.