bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the daily association of sleep hygiene behaviours with sleep: A between and within persons approach
Authors: McAlpine Thomas , Mullan Barbara , Clarke Patrick J. F. 
Published: September 2023

AbstractSleep hygiene behaviours are recommendations given to both clinical and non-clinical populations with a focus on modifying behaviours to maximise sleep outcomes. However, methodological issues present in sleep hygiene research make it difficult to conclusively determine the impact of each behaviour. This study aimed to address these issues by adopting a two-week, repeated measures design which incorporated objective sleep measures and used linear mixed effect modelling to assess the daily association of a wide range of sleep hygiene behaviours on sleep in a non-clinical, university sample. Between-persons effects revealed that bedtime and frequency of daytime napping, alcohol use, and social media use were negatively related to sleep duration while waketime and frequency of too much water consumption were positively related to sleep duration. Within-person effects revealed that later than usual bedtime, earlier than usual waketime, no sunlight exposure, poor ventilation, having an unpleasant conversation before bed were negatively associated with sleep duration whereas using alcohol to deliberately help full asleep was positively related to sleep duration. In contrast, disproportionately more behaviours were not significantly related to either sleep outcome, only some of which could be explained by individual differences, which suggests that more research is needed to determine the conditions under which these behaviours affect sleep, if at all.
Social mobility and economic development
Authors: Neidhöfer Guido , Ciaschi Matías , Gasparini Leonardo , Serrano Joaquín 
Published: September 2023

AbstractWe explore the relationship between social mobility and economic development. First, we map the geography of intergenerational mobility in education for 52 Latin American regions, and examine its evolution over time. Then, through a new weighting procedure considering the level of participation of various cohorts in the economy in each year, we estimate the association between changes in mobility and regional economic indicators, such as income per capita, inequality, poverty, labor formality, and luminosity. Our findings show that increasing social mobility is consistently associated with economic development and growth in Latin America.
Machiavellian Variations, or When Moral Convictions and Political Duties Collide
Authors: Giorgini Giovanni 
Published: September 2023

AbstractCommenting on Michael Walzer’s essay, the author adopts a perspective that traces back to Machiavelli. In this view, ‘dirty hands’ is a true problem faced by politicians, not a philosophical fiction or a moral quandary resulting from wrong reasoning. ‘Dirty hands’ results from the collision of two spheres of human action -morality and politics- which entail different duties; it concerns actions which have extremely serious public consequences and therefore applies eminently to politicians and the public sphere. The author examines different scenarios to elicit a clear view of the specificity of this problem, which is not analogous to the conventional issue of immorality in politics. ‘Dirty hands’ is a problem that cannot be avoided by politicians, because they have responsibility over the ultimate decisions; it follows that people who wish not to dirty their hands should thus refrain from entering the political realm.
Abduction as Deductive Saturation: a Proof-Theoretic Inquiry
Authors: Piazza Mario , Pulcini Gabriele , Sabatini Andrea 
Published: September 2023

AbstractAbductive reasoning involves finding the missing premise of an “unsaturated” deductive inference, thereby selecting a possible explanans for a conclusion based on a set of previously accepted premises. In this paper, we explore abductive reasoning from a structural proof-theory perspective. We present a hybrid sequent calculus for classical propositional logic that uses sequents and antisequents to define a procedure for identifying the set of analytic hypotheses that a rational agent would be expected to select as explanans when presented with an abductive problem. Specifically, we show that this set may not include the deductively minimal hypothesis due to the presence of redundant information. We also establish that the set of all analytic hypotheses exhausts all possible solutions to the given problem. Finally, we propose a deductive criterion for differentiating between the best explanans candidates and other hypotheses.
Sports fandom in the metaverse: marketing implications and research agenda
Authors: Chohan Raeesah , Schmidt-Devlin Ellen 
Published: September 2023

AbstractThe metaverse is transforming how sports fans consume sports, express their fandom, and interact with sports brands representing professional sports leagues, teams and athletes. However, scholars and practitioners lack an understanding of how sports brands can effectively appeal to their fans using the metaverse. This conceptual study aims to address this gap by combining marketplace evidence and extant research through the lens of social identity theory. The study suggests that sports brands should engage their fans in the metaverse by offering exclusive experiences that strengthen fans’ identification as a fan, facilitating opportunities for fans to demonstrate their fandom and reinforce their association with the fan community, and fostering immersive experiences that enable fans to interact with each other and the sports brand. This study outlines several potential areas for future research based on three themes, namely experiences, personalization, and inclusivity. By addressing these areas, sports brands can better understand and optimize their engagement strategies with fans using the metaverse.
Early diagnosis of liver disease using improved binary butterfly optimization and machine learning algorithms
Authors: Shaban Warda M. 
Published: September 2023

AbstractLiver disease in patients is on the rise due to environmental factors like toxic gas exposure, contaminated food, drug interactions, and excessive alcohol use. Therefore, diagnosing liver disease is crucial for saving lives and managing the condition effectively. In this paper, a new method called Liver Patients Detection Strategy (LPDS) is proposed for diagnosing liver disease in patients from laboratory data alone. The three main parts of LPDS are data preprocessing, feature selection, and detection. The data from the patient is processed, and any anomalies are removed during this stage. Then, during feature selection phase, the most helpful features are chosen. A novel method is proposed to choose the most relevant features during the feature selection stage. The formal name for this method is IB2OA, which stands for Improved Binary Butterfly Optimization Algorithm. There are two steps to IB2OA, which are; Primary Selection (PS) step and Final Selection (FS) step. This paper presents two enhancements. The first is Information Gain (IG) approach, which is used for initial feature reduction. The second is implementing BOA's initialization with Optimization Based on Opposition (OBO). Finally, five different classifiers, which are Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Naive Bayes (NB), Decision Tree (DT), and Random Forest (RF) are used to identify patients with liver disease during the detection phase. Results from a battery of experiments show that the proposed IB2OA outperforms the state-of-the-art methods in terms of precision, accuracy, recall, and F-score. In addition, when compared to the state-of-the-art, the proposed model's average selected features score is 4.425. In addition, among all classifiers considered, KNN classifier achieved the highest classification accuracy on the test dataset.
Soil compaction effects on arbuscular mycorrhizal symbiosis in wheat depend on host plant variety
Authors: Torppa Kaisa A. , Forkman Johannes , Maaroufi Nadia I. , Taylor Astrid R. , Vahter Tanel , Vasar Martti , Weih Martin , Öpik Maarja , Viketoft Maria 
Published: September 2023

Abstract
Background and aims
Supporting arbuscular mycorrhizal (AM) nutrient acquisition in crops may reduce the need for fertilizer inputs, leading to more cost effective and sustainable crop production. In wheat, AM fungal responsiveness and benefits of symbiosis vary among varieties. This study explored the role of soil compaction in this variation.

Methods
We examined in a field experiment how soil compaction affects AM fungal colonization and biomass in five spring wheat varieties, and how these varieties differ in their AM-mediated phosphorus (P) uptake. We also studied soil properties, and AM fungal community composition in roots and soil.

Results
Soil compaction increased AM fungal colonization in the variety Alderon, characterized by root traits that indicate inefficient P uptake. Wheat P concentration and P:N ratio in Alderon and Diskett increased with increased root AM fungal colonization and biomass. In Diskett, which is the most cultivated spring wheat variety in Sweden and has intermediate root traits, total P content per m2 also increased with root AM fungal colonization and biomass.

Conclusions
Some wheat varieties, potentially those characterized by P inefficient root traits, such as Alderon, may depend more on AM-mediated P uptake in compacted than in non-compacted soil. Increased P uptake with increased AM fungal colonization in Diskett suggests that efficient root and AM-mediated nutrient uptake can occur simultaneously in a modern variety. Breeding varieties that use roots and AM symbiosis as complementary strategies for nutrient uptake could improve nutrient uptake efficiency and help farmers achieve stable yields in varying conditions.
The ideas of the Scottish Enlightenment in Russia: Adam Smith and Semyon Efimovich Desnitskii on the philosophy of history
Authors: Marchevský Ondrej , Zákutná Sandra 
Published: September 2023

AbstractThe paper focuses on the mutual interaction as well as the impact of the Scottish Enlightenment on the formation of the Enlightenment in Russia during the reign of Catherine the Great. It focuses on the relationship between the work of Adam Smith and Semyon Efimovich Desnitskii, who, thanks to Desnitskii’s studies at the University of Glasgow, got to know each other as teacher and student. The central point of their interaction is the issues of the philosophy of history based on natural-law assumptions and focus on understanding the formation of history, culture, citizenship, and social transformations through morality and law. The paper examines Desnitskii’s ideas on the stages of human coexistence in which Smith’s concept is projected. The paper is not only an attempt to compare these concepts, but it also characterizes Desnitskii’s interest in adapting the ideas of the Scottish Enlightenment to Russian reality and needs and using them in the environment of the advancing feudal empire, to which Desnitskii wants to contribute with his work.
Tactile IoT and 5G & beyond schemes as key enabling technologies for the future metaverse
Authors: Tychola Kyriaki A. , Voulgaridis Konstantinos , Lagkas Thomas 
Published: September 2023

AbstractThe Tactile Internet (TI) is a recently emerging field that has been developing and evolving to date, since its communications parallel the sense of human touch. Lately, the revolutionized concept, Metaverse, draws attention due to the evolved immersive experience of human perception of the surrounding environment. This technology supports the ultimate union between the physical and virtual world, facilitated by 5G and beyond communication networks. Users are capable of interacting with machines and devices in real-time, remotely, resembling the actions of their physical counterparts. The particular approaches are still in their infancy and expected to produce spectacular results in various sectors such as industry, healthcare, autonomous vehicles, etc. This immersion is further assisted by the Internet of Things, while expecting full wireless support by 5G networks. In this article, a systematic review studies the domains of TI, 5G and beyond networks, as well as their relations with the Metaverse, rendering the respective schemes Key Enabling Technologies for the future Metaverse. A thorough analysis is conducted on the underpinning schemes, relative architectures, structures, and operation modes. In addition, a comprehensive list is presented, focusing on related application fields and their benefits, considering the strengths and weaknesses of the involved technologies. Finally, challenges and issues arising are discussed, both from the perspective of technical requirements and the psychosomatic aspect of human experience.
Detection the severity of organophosphate intoxication using sensitive serum biomarkers S100B and amyloid β (Aβ) in Egyptian subjects
Authors: Elhady Mostafa M. , Adly Sara A. , Elshebiny Husam A. , Moselhy Said S. 
Published: September 2023

AbstractOrganophosphate (OP) is a compound considered the main leading cause of morbidity and mortality from poisoning worldwide. Serum pseudocholinesterase was evaluated as a diagnostic indicator; it cannot be used to monitor therapy or severity of the intoxication. The rationale of the current study was to evaluate sensitivity, specificity, and cut-off values of serum S100B and amyloid β for neurological affection severity. This study was carried out on sixty OP-impaired patients; in addition, 20 normal controls were included. Serum liver and kidney function tests, malondialdehyde, pseudocholinesterase, and the levels of S100B and amyloid β (Aβ) were determined. Data showed that Pearson’s analysis indicated that the serum level of S100B was positively correlated with Aβ. On the contrary, the activity of pseudocholinesterase was negatively correlated with both of S100B and Aβ. Serum ALT, AST, creatinine, urea, acetylcholine, and MDA levels were elevated while pseudocholinesterase activity was reduced in moderate and severe OP intoxication versus control. A drastic elevation (p<0.001) in the levels of S100B and Aβ was performed in the patient group suffering from OP intoxication versus the normal group. The diagnostic statistical validation of targeted parameters in distinguishing between moderate OP intoxication and control clarifies that S100B displayed the best AUC (0.997) followed by Aβ (AUC=0.992), while the diagnostic veracity of S100B and Aβ in setting apart severe OP-intoxicated and normal subjects stated the symmetric efficacy of potential markers. It was concluded that the significant changes in the levels of S100B and Aβ were directly proportional to the degree of severity of OP intoxication.
Regional differences in the link between water exchange rate across the blood–brain barrier and cognitive performance in normal aging
Authors: Zachariou Valentinos , Pappas Colleen , Bauer Christopher E. , Shao Xingfeng , Liu Peiying , Lu Hanzhang , Wang Danny J. J. , Gold Brian T. 
Published: September 2023

AbstractThe blood–brain barrier (BBB) undergoes functional changes with aging which may contribute to cognitive decline. A novel, diffusion prepared arterial spin labeling-based MRI technique can measure the rate of water exchange across the BBB (kw) and may thus be sensitive to age-related alterations in water exchange at the BBB. However, studies investigating relationships between kw and cognition have reported different directions of association. Here, we begin to investigate the direction of associations between kw and cognition in different brain regions, and their possible underpinnings, by evaluating links between kw, cognitive performance, and MRI markers of cerebrovascular dysfunction and/or damage. Forty-seven healthy older adults (age range 61–84) underwent neuroimaging to obtain whole-brain measures of kw, cerebrovascular reactivity (CVR), and white matter hyperintensity (WMH) volumes. Additionally, participants completed uniform data set (Version 3) neuropsychological tests of executive function (EF) and episodic memory (MEM). Voxel-wise linear regressions were conducted to test associations between kw and cognitive performance, CVR, and WMH volumes. We found that kw in the frontoparietal brain regions was positively associated with cognitive performance but not with CVR or WMH volumes. Conversely, kw in the basal ganglia was negatively associated with cognitive performance and CVR and positively associated with regional, periventricular WMH volume. These regionally dependent associations may relate to different physiological underpinnings in the relationships between kw and cognition in neocortical versus subcortical brain regions in older adults.
Neue Perspektiven auf Teamdynamik: Kleingruppenforschung, Systemtheorie und die vergessene Ordnung der Situation
Authors: Sailer Patrick 
Published: September 2023

ZusammenfassungIn diesem Beitrag der Zeitschrift „Gruppe. Interaktion. Organisation. (GIO)“ werden verschiedene Perspektiven auf Teamdynamik, einschließlich der vernachlässigten Eigendynamik von Situationen, unterschieden und anhand ihrer praktischen Implikationen für agile Teams illustriert. Die Popularität agiler Teams führt zu einer Zunahme der Teamdynamik. Bisherige Studien behandeln jedoch entweder nur einzelne Konzepte ohne integrierenden theoretischen Rahmen oder übertragen gruppendynamische Modelle auf Teams, ohne zwischen Gruppen und Teams zu unterscheiden. In diesem Beitrag werden daher verschiedene Modelle der Gruppen- und Teamdynamik aus der Organisationspsychologie und der Systemtheorie im Kontext agiler Teams diskutiert. Die zentrale These dieses Beitrags ist, dass es für die Analyse von Teamdynamiken nicht ausreicht, Teams in ihren Interaktionen mit Teammitgliedern und Organisationen zu betrachten. Denn agile Methoden wie Scrum zeichnen sich durch iterative Prozesse aus, wodurch sich Situationen wiederholen und eine situative Ordnung entsteht, die nicht identisch ist mit der sozialen Ordnung des Teams. Diese Eigendynamik von Situationen wurde in der bisherigen Forschung zur Teamdynamik vernachlässigt. Abschließend werden die diskutierten Perspektiven auf Teamdynamik zusammengeführt. Dies ermöglicht Berater:innen und Führungskräften, die Herausforderungen und Möglichkeiten von Teamdynamik fundiert und praxisorientiert einzuschätzen.
Hyponatremia and malnutrition: a comprehensive review
Authors: Baez German , Chirio Martin , Pisula Pedro , Seminario Enrique , Carasa Natalia , Philippi Romina , Aroca-Martinez Gustavo , Musso Carlos G. 
Published: September 2023

Abstract
Background
Hyponatremia (serum sodium lower than 135 mmol/L) is the most frequent electrolyte alteration diagnosed in medical practice. It has deleterious clinical effects, being an independent predictor of mortality. Malnutrition encompasses pathological states caused by both nutrients excess and deficiency, being frequently documented in chronic kidney disease patients. In addition, chronic hyponatremia promotes adiposity loss and sarcopenia, while malnutrition can induce hyponatremia. This pathological interaction is mediated by four main mechanisms: altered electrolyte body composition (low sodium, low potassium, low phosphorus, or high-water body content), systemic inflammation (cytokines increase), hormonal mechanisms (renin–angiotensin–aldosterone system activation, vasopressin release), and anorexia (primary or secondary).

Conclusion
Malnutrition can induce hyponatremia through hydro-electrolytic, hormonal, inflammatory, or nutritional behavior changes; while hyponatremia per se can induce malnutrition, so there is a pathophysiological feedback between both conditions.
Investigating the potential mechanism of quercetin against cervical cancer
Authors: Chu Man , Ji Huihui , Li Kehan , Liu Hejing , Peng Mengjia , Wang Zhiwei , Zhu Xueqiong 
Published: September 2023

Abstract
Background
Cervical cancer is emerging as a potential target of increased susceptibility to coronavirus disease-2019 (COVID-19), leading to compromised survival rates. Despite this critical link, efficacious anti-cervical cancer/COVID-19 interventions remain limited. Quercetin, known for its efficacy against both cancer and viral infections, holds promise as a therapeutic agent. This study aims to elucidate quercetin’s anti-cervical cancer/COVID-19 mechanisms and potential targets.

Methods
We initiated our investigation with differential gene expression analysis using cervical cancer transcriptome data from The Cancer Genome Atlas (TCGA) and The Genotype-Tissue Expression (GTEx), focusing on intersections with COVID-19-related genes. Network pharmacology was employed to identify the shared targets between cervical cancer/COVID-19 DEGs and quercetin’s targets. Subsequently, Cox proportional hazards analyses were employed to establish a risk score based on these genes. Molecular docking techniques were applied to predict quercetin’s therapeutic targets and mechanisms for mitigating cervical cancer and COVID-19.

Results
Our findings unveiled 45 potential quercetin targets with anti-cervical cancer/COVID-19 actions. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses highlighted significant enrichment in immune pathways and COVID-19-related pathways. A refined risk score model, comprising PLA2G7, TNF, TYK2, F2, and NRP1, effectively stratified cervical cancer patients into distinct risk groups. Importantly, molecular docking analyses illuminated quercetin’s remarkable binding affinity to the primary protease of the coronavirus.

Conclusions
In summation, our study suggests that quercetin holds promise as a potential therapeutic agent for mitigating coronavirus function, specifically through its interaction with the primary protease. This research offers novel insights into exploring COVID-19 susceptibility and enhancing survival in cervical cancer patients.
Fingerprinting Bitcoin entities using money flow representation learning
Authors: Tovanich Natkamon , Cazabet Rémy 
Published: September 2023

AbstractDeanonymization is one of the major research challenges in the Bitcoin blockchain, as entities are pseudonymous and cannot be identified from the on-chain data. Various approaches exist to identify multiple addresses of the same entity, i.e., address clustering. But it is known that these approaches tend to find several clusters for the same actor. In this work, we propose to assign a fingerprint to entities based on the dynamic graph of the taint flow of money originating from them, with the idea that we could identify multiple clusters of addresses belonging to the same entity as having similar fingerprints. We experiment with different configurations to generate substructure patterns from taint flows before embedding them using representation learning models. To evaluate our method, we train classification models to identify entities from their fingerprints. Experiments show that our approach can accurately classify entities on three datasets. We compare different fingerprint strategies and show that including the temporality of transactions improves classification accuracy and that following the flow for too long impairs performance. Our work demonstrates that out-flow fingerprinting is a valid approach for recognizing multiple clusters of the same entity.