bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hyaluronic acid in tooth extraction: a systematic review and meta-analysis of preclinical and clinical trials
Authors: Domic Danijel , Bertl Kristina , Lang Tobias , Pandis Nikolaos , Ulm Christian , Stavropoulos Andreas 
Published: November 2023

Abstract
Objectives
To assess whether in animals or patients with ≥ 1 tooth extracted, hyaluronic acid (HyA) application results in superior healing and/or improved complication management compared to any other treatment or no treatment.

Materials and methods
Three databases were searched until April 2022. The most relevant eligibility criteria were (1) local application of HyA as adjunct to tooth extraction or as treatment of alveolar osteitis, and (2) reporting of clinical, radiographic, histological, or patient-reported data. New bone formation and/or quality were considered main outcome parameters in preclinical studies, while pain, swelling, and trismus were defined as main outcome parameters in clinical studies.

Results
Five preclinical and 22 clinical studies (1062 patients at final evaluation) were included. In preclinical trials, HyA was applied into the extraction socket. Although a positive effect of HyA was seen in all individual studies on bone formation, this effect was not confirmed by meta-analysis. In clinical studies, HyA was applied into the extraction socket or used as spray or mouthwash. HyA application after non-surgical extraction of normally erupted teeth may have a positive effect on soft tissue healing. Based on meta-analyses, HyA application after surgical removal of lower third molars (LM3) resulted in significant reduction in pain perception 7 days postoperatively compared to either no additional wound manipulation or the application of a placebo/carrier. Early post-operative pain, trismus, and extent of swelling were unaffected.

Conclusions
HyA application may have a positive effect in pain reduction after LM3 removal, but not after extraction of normally erupted teeth.

Clinical relevance
HyA application may have a positive effect in pain reduction after surgical LM3 removal, but it does not seem to have any impact on other complications or after extraction of normally erupted teeth. Furthermore, it seems not to reduce post-extraction alveolar ridge modeling, even though preclinical studies show enhanced bone formation.
Semiempirical modeling of the transient response of pore pressure to rainfall and snowmelt in a dormant landslide
Authors: Osawa Hikaru , Matsushi Yuki , Matsuura Sumio , Okamoto Takashi 
Published: November 2023

AbstractThis study proposes a simplified, semiempirical hydrological model of the pressure response in a landslide. Various hydrometeorological variables were measured in a dormant landslide underlain by soft sedimentary rocks in a high snowfall area in central Japan. We assessed whether the short-term response of the pore pressure to water inputs by rainfall and/or snowmelt can be predicted using a modified linear diffusion model that describes the seasonal trends of the pore pressure. We applied field observations and regression analysis to characterize the buffering function of the vadose zone. The apparent hydraulic conductivity and hydraulic diffusivity in the vadose zone were low during summer and high during winter and can be described by an empirical function of the pore pressure prior to an event. The pattern of pressure waveforms was accurately reproduced for various water inputs via empirical parameter functions. The model can also reproduce the pore-pressure peaks at different depths and locations within the same landslide with practical certainty. This modeling demonstrated a method that has the potential to predict future landslide instability as long as data from pore-pressure monitoring and water input forecasting are available.
Spread of the Zoonotic Nematode Baylisascaris procyonis into a Naive Raccoon Population
Authors: Heddergott Mike , Lippert Stéphanie , Schliephake Annette , Gaede Wolfgang , Schleimer Anna , Frantz Alain C. 
Published: November 2023

AbstractThe raccoon roundworm (Baylisascaris procyonis), a gastrointestinal nematode of the raccoon (Procyon lotor), may cause a severe form of larva migrans in humans, which can lead to death or permanent neurological damage. Although roundworms were inadvertently introduced to Europe alongside their raccoon hosts, the parasite is not present in every raccoon population. It is important to understand the geographic distribution of B. procyonis, as early and rapid treatment can prevent severe pathologies in humans. We present evidence for the roundworm spreading into a naive raccoon population through natural dispersal of infected raccoons. We sampled 181 raccoons from Saxony-Anhalt, a German federal state containing contact zones of different raccoon populations, two of which were previously free of the parasite. We screened the raccoons for roundworms and used microsatellite-based assignment tests to determine the genetic origin of the raccoons and their parasites. We detected roundworms in 16 of 45 raccoons sampled in a previously roundworm-free area in the northern part of the state. The largest proportion of the genetic ancestry (≥ 0.5) of the 16 raccoon hosts was assigned to the previously naive raccoon population. Conversely, the genetic ancestry of almost all the roundworms was assigned to the nearest roundworm population in the southern part of the state. Infected raccoons have, therefore, spread to the north of the state, where they interbred with and infected local raccoons. It seems likely that the roundworms will continue to spread. Health authorities should consider continuous surveillance programmes of naive populations and raise public awareness.
Intelligent team formation and player selection: a data-driven approach for football coaches
Authors: Nouraie Mahdi , Eslahchi Changiz , Baca Arnold 
Published: November 2023

AbstractThis article presents a data-driven approach called Intelligent Team Formation and Player Selection (ITFPS), aimed at assisting football coaches in making informed decisions about team formation and player selection. The proposed approach utilizes deep neural networks to evaluate the suitability of each player for different positions on the field. The problem is then formulated as finding the maximum weighted matching in a complete bipartite graph, with the objective of achieving the best possible alignment between team members and the positions designated by the coach. The Hungarian algorithm is employed to facilitate this matching process. Furthermore, the approach allows coaches to select a system of distinct representatives for each position, based on the specific qualities expected from players in a given match. The effectiveness of the approach is demonstrated through tests conducted on four teams from the 2021–2022 English Premier League. The results indicate that ITFPS produces decisions comparable to those made by successful coaches. By optimizing team formations and enabling the utilization of rotating formations, this approach not only enhances team performance but also empowers coaches to make strategic decisions while fully leveraging the potential of their players. ITFPS serves as an intelligent assistant for coaches, complementing their strategic perspectives.
Making the Executive ‘Function’ for the Foundations of Mathematics: the Need for Explicit Theories of Change for Early Interventions
Authors: Scerif Gaia , Blakey Emma , Gattas Sylvia , Hawes Zachary , Howard Steven , Merkley Rebecca , O’Connor Rosemary , Simms Victoria 
Published: November 2023

AbstractA vast body of work highlights executive functions (EFs) as robust correlates of mathematics achievement over the primary and preschool years. Yet, despite such correlational evidence, there is limited evidence that EF interventions yield improvements in early years mathematics. As intervention studies are a powerful tool to move beyond correlation to causality, failures of transfer from executive functions interventions are, we argue, highly problematic for both applied and theoretical reasons. We review the existing correlational and intervention literature at complementary neuroscientific, cognitive, developmental and educational levels. We appraise distinct theories of change underpinning the correlations between EF and early mathematics, as well as explicit or implicit theories of change for different types of EF interventions. We find that isolated EF interventions are less likely to transfer to improvements in mathematics than integrated interventions. Via this conceptual piece, we highlight that the field of EF development is in need of (1) a clearer framework for the mechanisms underpinning the relationships between early EF and other developing domains, such as mathematical cognition; (2) clearer putative theories of change for how interventions of different kinds operate in the context of EF and such domains; (3) and greater clarity on the developmental and educational contexts that influence these causal associations. Our synthesis of the evidence emphasises the need to consider the dynamic development of EFs with co-developing cognitive functions, such as early math skills, when designing education environments. [234 words].
Public health measures and the rise of incidental surveillance: Considerations about private informational power and accountability
Authors: Kamphorst B. A. , Henschke A. 
Published: November 2023

AbstractThe public health measures implemented in response to the COVID-19 pandemic have resulted in a substantially increased shared reliance on private infrastructure and digital services in areas such as healthcare, education, retail, and the workplace. This development has (i) granted a number of private actors significant (informational) power, and (ii) given rise to a range of digital surveillance practices incidental to the pandemic itself. In this paper, we reflect on these secondary consequences of the pandemic and observe that, even though collateral data disclosure and additional activity monitoring appears to have been generally socially accepted as inevitable consequences of the pandemic, part and parcel of a larger conglomeration of emergency compromises, these increased surveillance practices were not directly justified by appeals to solidarity and public health in the same way that the instigating public health measures were. Based on this observation, and given the increased reliance on private actors for maintaining the digital space, we argue that governments have a duty to (i) seek and ensure that there are justifications for collateral data disclosure and activity monitoring by private actors in the context of (future) public health emergencies like the COVID-19 pandemic, and (ii) regulate and provide accountability mechanisms for and oversight over these private surveillance practices on par with governmental essential services that engage in surveillance activities.
The Moral Permissibility of Perspective-Taking Interventions
Authors: Read Hannah , Douglas Thomas 
Published: November 2023

AbstractInterventions designed to promote perspective taking are increasingly prevalent in educational settings, and are also being considered for applications in other domains. Thus far, these perspective-taking interventions (PTIs) have largely escaped philosophical attention, however they are sometimes prima facie morally problematic in at least two respects: they are neither transparent nor easy to resist. Nontransparent or hard-to-resist PTIs call for a moral defense and our primary aim in this paper is to provide such a defense. We offer two arguments for the view that an exemplar PTI is morally permissible even though it is plausibly neither transparent nor easy to resist. The first argument appeals to an analogy between PTIs and permissible deceptive research practices. The second appeals to the way in which PTIs draw participants’ attention to their reasons for action. We also respond to the objection that, by imposing a particular conception of the good, PTIs violate liberal neutrality.
EOS-CG-2021: A Mixture Model for the Calculation of Thermodynamic Properties of CCS Mixtures
Authors: Neumann Tobias , Herrig Stefan , Bell Ian H. , Beckmüller Robin , Lemmon Eric W. , Thol Monika , Span Roland 
Published: November 2023

AbstractThermodynamic properties for CCS-relevant mixtures can be calculated with the fundamental equation of state presented in this work over wide ranges of pressure, temperature, and composition for gas, liquid, and supercritical states, as well as for phase equilibria. The mixture model is formulated in terms of the Helmholtz energy and is based on the EOS-CG model of Gernert and Span (J Chem Thermodyn 93:274, 2016]. The new model presented here (EOS-CG-2021) is an update and extension of the previous version, and covers the following sixteen components: carbon dioxide, water, nitrogen, oxygen, argon, carbon monoxide, hydrogen, methane, hydrogen sulfide, sulfur dioxide, monoethanolamine, diethanolamine, hydrogen chloride, chlorine, ammonia, and methyl diethanolamine. Previously published elements of the model are summarized, and new elements are validated and analyzed with the use of comparisons to experimental data and by assessing the physical and extrapolation behavior of the equations. A comprehensive study on the representation of multicomponent mixture data was carried out to show the high accuracy and application range of the EOS-CG-2021.
Investigating the Mediating Role of Executive Function in the Relationship Between ADHD and DCD Symptoms and Depression in Adults
Authors: Broletti Maria C. , Efthymiou Christina , Murray Aja Louise , McDougal Emily , Rhodes Sinéad M. 
Published: November 2023

AbstractThis study was designed to test the effects of Attention Deficit Hyperactivity Disorder (ADHD) and Developmental Co-ordination Disorder (DCD) on depression levels and investigate the mediating role of executive function (EF) in adults. Adults with ADHD, DCD, and ADHD + DCD (N = 139) completed self-report measures of ADHD, DCD, depression, and EF. There were distinct profiles of EF across diagnostic groups, and higher depression symptoms in adults with ADHD + DCD than DCD alone. All EF domains were predicted by ADHD symptoms, and several by DCD symptoms. ADHD and DCD symptoms, and most EF domains, predicted depression symptoms. Overall EF difficulties fully mediated the relationships between ADHD/DCD and depression symptoms. Several specific EF domains relating to behavioural regulation and metacognition also showed full/partial mediating effects. The mediating role of EF difficulties between these neurodevelopmental conditions and depression symptoms has implications for their understanding and treatment, suggesting that targeting EF may be important for preventing co-occurring depression.
Towards automated remote sizing and hot steel manufacturing with image registration and fusion
Authors: Lin Yueda , Wang Peng , Wang Zichen , Ali Sardar , Mihaylova Lyudmila 
Published: November 2023

AbstractImage registration and fusion are challenging tasks needed in manufacturing, including in high-quality steel production for inspection, monitoring and safe operations. To solve some of these challenging tasks, this paper proposes computer vision approaches aiming at monitoring the direction of motion of hot steel sections and remotely measuring their dimensions in real time. Automated recognition of the steel section direction is performed first. Next, a new image registration approach is developed based on extrinsic features, and it is combined with frequency domain image fusion ofoptical images. The fused image provides information about the size of high-quality hot steel sections remotely. While the remote sizing approach keeps operators informed of the section dimensions in real time, the mill stands can be configured to provide quality assurance. The performance of the developed approaches is evaluated over real data and achieves accuracy above 95%. The proposed approaches have the potential to introduce an enhanced level of autonomy in manufacturing and provide advanced digitised solutions in steel manufacturing plants.
Formal Modelling and Verification of Probabilistic Resource Bounded Agents
Authors: Nguyen Hoang Nga , Rakib Abdur 
Published: November 2023

AbstractMany problems in Multi-Agent Systems (MASs) research are formulated in terms of the abilities of a coalition of agents. Existing approaches to reasoning about coalitional ability are usually focused on games or transition systems, which are described in terms of states and actions. Such approaches however often neglect a key feature of multi-agent systems, namely that the actions of the agents require resources. In this paper, we describe a logic for reasoning about coalitional ability under resource constraints in the probabilistic setting. We extend Resource-bounded Alternating-time Temporal Logic (RB-ATL) with probabilistic reasoning and provide a standard algorithm for the model-checking problem of the resulting logic Probabilistic resource-bounded ATL (pRB-ATL). We implement model-checking algorithms and present experimental results using simple multi-agent model-checking problems of increasing complexity.
Sedimentology and stratigraphy of the Jordan River Dureijat archeological site reveal subtle late Pleistocene water-level changes at Lake Hula, Jordan Valley, Israel
Authors: Bunin Elizabeth , Zhang Chengjun , Sharon Gonen , Mischke Steffen 
Published: November 2023

AbstractSedimentary records of environmental conditions retrieved from archeological sites provide valuable insight into the milieux of ancient humans and context to understand societal and cultural changes. At Jordan River Dureijat, an open-air site in Israel’s Hula Valley documenting the entire Epipaleolithic period as well as the Early Neolithic, sediments exposed on the walls of the excavation pit reveal a sequence of lacustrine deposits accumulated continuously between c. 21.1 and 11.3 cal ka BP near the southeast margin of Paleolake Hula. Through sediment-grain-size, geochemical, and paleontological analyses, we describe the nature of the Paleolake Hula from the Last Glacial Maximum (LGM) to the start of the Holocene. Until c. 17.2 cal ka BP, Paleolake Hula existed as a relatively large and well-buffered waterbody. A rapid and substantial drawdown of the lake occurred at 17.2 cal ka BP, followed by more frequent changes in the position of the shoreline in a smaller and shallower lake, resulting in the deposition of alternating near-shore and deeper lacustrine facies. Since the LGM, seven beds of structureless, silty sediments preserve archeological artifacts belonging to three Epipaleolithic cultures as well as the Early Neolithic pre-pottery Neolithic A culture. These sediments were deposited during phases of low lake level during which times humans waded into the shallow part of the lake, leaving behind stone and bone tools such as bladelets, lunates and burins, fishing hooks, line weights and net sinkers. Using radiocarbon-dated charcoal and a Bayesian statistical model, we produced a chronostratigraphic model for the archeological site, which enables the comparison of proxy paleoclimate records produced from this site’s sediments with regional archives as well as with global trends and changes in the Northern Hemisphere climate. Periods of low lake stands are correlated with the end of the LGM, Heinrich Event 1, and the beginning of the Younger Dryas Stadial. High water stands occurred contemporaneously with the peak of the LGM and during the Bølling–Allerød interstadial. This new water-level record from Lake Hula confirms that lake-level changes here broadly paralleled those of the Dead Sea and Sea of Galilee during the late Pleistocene, highlighting the importance of northern water sources to the overall water balance of the lakes along the Dead Sea Transform.
Insights in Hierarchical Clustering of Variables for Compositional Data
Authors: Martín-Fernández Josep Antoni , Donato Valentino Di , Pawlowsky-Glahn Vera , Egozcue Juan José 
Published: November 2023

AbstractR-mode hierarchical clustering is a method for forming hierarchical groups of mutually exclusive subsets of variables. This R-mode cluster method identifies interrelationships between variables which are useful for variable selection and dimension reduction. Importantly, the method is based on metric elements defined on the sample space of variables. Consequently, hierarchical clustering of compositional parts should respect the particular geometry of the simplex. In this work, the connections between concepts such as distance, cluster representative, compositional biplot, and log-ratio basis are explored within the framework of the most popular R-mode agglomerative hierarchical clustering methods. The approach is illustrated in a paleoecological study to identify groups of species sharing similar behavior.
Perspectives of cyanobacterial cell factories
Authors: Melis Anastasios , Hidalgo Martinez Diego Alberto , Betterle Nico 
Published: November 2023

AbstractCyanobacteria are prokaryotic photosynthetic microorganisms that can generate, in addition to biomass, useful chemicals and proteins/enzymes, essentially from sunlight, carbon dioxide, and water. Selected aspects of cyanobacterial production (isoprenoids and high-value proteins) and scale-up methods suitable for product generation and downstream processing are addressed in this review. The work focuses on the challenge and promise of specialty chemicals and proteins production, with isoprenoid products and biopharma proteins as study cases, and the challenges encountered in the expression of recombinant proteins/enzymes, which underline the essence of synthetic biology with these microorganisms. Progress and the current state-of-the-art in these targeted topics are emphasized.
On Pretabular Extensions of Relevance Logic
Authors: Fallahi Asadollah , Raftery James Gordon 
Published: November 2023

AbstractWe exhibit infinitely many semisimple varieties of semilinear De Morgan monoids (and likewise relevant algebras) that are not tabular, but which have only tabular proper subvarieties. Thus, the extension of relevance logic by the axiom $$(p\rightarrow q)\vee (q\rightarrow p)$$

(
p
→
q
)
∨
(
q
→
p
)

has infinitely many pretabular axiomatic extensions, regardless of the presence or absence of Ackermann constants.
Metarepresenting in communication
Authors: Mussavifard Nima 
Published: November 2023

AbstractThe standard cognitive explanation for the emergence of human communication is that it rests largely on the expression and attribution of communicative intentions which are, in turn, enabled by complex metarepresentations of mental states. This complexity is at odds with the limited metapsychological abilities of infants. But mentalistic metarepresentations are neither necessary nor sufficient in explaining communication. Coded ostensive signals (e.g., eye contact) and established channels (e.g., speech) allow that communicative episodes be identified through decoding rather than metarepresentational inferences. Thus, some metarepresentations may be unnecessary. However, metapsychology is also insufficient for explaining communication: the logic of instrumental actions permits interpreting their effect as following from intentions, yet the effect of communicative actions is often unavailable for inferring meaning. Moreover, current evidence for the developmental trajectory of communication and mental state attribution does not support the emergence of the former from the latter. My proposal is that our primitive concept of communication targets, instead, representational action. When we communicate, we typically convey a propositional content that is detached from our acts—a property absent in ordinary goal-directed actions. This view additionally raises the possibility that metarepresentational capacities evolved for representing external, communicative representations and were only later exapted for other purposes.